The communication devices have produced digital traces for their users either voluntarily or not. This type
of collective data can give powerful indications that are affecting the urban systems design and
development. In this study mobile phone data during Armada event is investigated. Analyzing mobile
phone traces gives conceptual views about individuals densities and their mobility patterns in the urban
city. The geo-visualization and statistical techniques have been used for understanding human mobility
collectively and individually. The undertaken substantial parameters are inter-event times, travel distances
(displacements) and radius of gyration. They have been analyzed and simulated using computing platform
by integrating various applications for huge database management, visualization, analysis, and
simulation. Accordingly, the general population pattern law has been extracted. The study contribution
outcomes have revealed both the individuals densities in static perspective and individuals mobility in
dynamic perspective with multi levels of abstraction (macroscopic, mesoscopic, microscopic).
Trends in covolutional neural network in 2020 - International Journal of Arti...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Top 5 most viewed articles from academia in 2019 - gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications
New Research Articles 2019 July Issue International Journal of Artificial Int...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas
FUTURISTIC TECHNOLOGY IN ARCHITECTURE & PLANNING - AUGMENTED AND VIRTUAL REAL...ijscai
Speed has become a way of life. We are asymptotically piling data. Speed can be achieved with new design
processes, techniques, and Technology. Innovations AR and VR are just some of the many forms of
technologies that will play a key role in shaping the Architecture and Planning of tomorrow, making it
future-ready and ushering in a new age of innovation. AR and VR in Architecture & Planning were
introduced as assisting tools and has helped generate multiple design options, expanded possibilities of
visualization, and provided us with more enhanced, detailed, and specific experience in real-time; enabling
us to see the resultsof work on hand well before the commencement of the project. These tools are further
developed for city development decisions, helping citizens interact with local authorities, access public
services, and plan their commute. After reviewing multiple research papers, it had been observed that each
one is moving forward with the changes brought by it, without entirely understanding its role. This paper
provides a summary of theappliance of AR & VR in architecture and planning.
Integrating Web Services With Geospatial Data Mining Disaster Management for ...Waqas Tariq
Data Mining (DM) and Geographical Information Systems (GIS) are complementary techniques for describing, transforming, analyzing and modeling data about real world system. GIS and DM are naturally synergistic technologies that can be joined to produce powerful market insight from a sea of disparate data. Web Services would greatly simplify the development of many kinds of data integration and knowledge management applications. This research aims to develop a Spatial DM web service. It integrates state of the art GIS and DM functionality in an open, highly extensible, web-based architecture. The Interoperability of geospatial data previously focus just on data formats and standards. The recent popularity and adoption of Web Services has provided new means of interoperability for geospatial information not just for exchanging data but for analyzing these data during exchange as well. An integrated, user friendly Spatial DM System available on the internet via a web service offers exciting new possibilities for geo-spatial analysis to be ready for decision making and geographical research to a wide range of potential users.
Broadcasting Scenario under Different Protocols in MANET: A Surveyrahulmonikasharma
A wireless network enables people to communicate and access applications and information without wires. This provides freedom of movement and the ability to extend applications to different parts of a building, city, or nearly anywhere in the world. Wireless networks allow people to interact with e-mail or browse the Internet from a location that they prefer. Adhoc Networks are self-organizing wireless networks, absent any fixed infrastructure. broadcasting of data through proper channel is essential. Various protocols are designed to avoid the loss of data. In this paper an overview of different broadcast protocols are discussed.
Visualization of cartographic systems in mobile devices is a challenge due to the its own
limitations to show all the relevant information that the user needs on the screen. Within this paper we review
current state-of- the-art technological solutions to face this problem and we classify them in a novel typology. In
addition, it is shown an example case of a developed system for a logistic company specialized in dangerous
goods. The system is able to calculate optimal routes and communicate the drivers the best path in order to
achieve a great management of the company resources
This document presents a system for managing spatial databases on mobile devices. It proposes an architecture with three tiers: a data tier providing open standards interfaces, a middleware tier enabling access to spatial data services, and a mobile tier with GIS software to access, display, and edit spatial data locally. It describes a prototype implementation on Android phones using OpenStreetMap data stored locally in a spatial database to allow spatial queries without internet. The prototype demonstrates line-of-sight and field-of-view queries to filter objects not visible to the user and reduce information overload.
Trends in covolutional neural network in 2020 - International Journal of Arti...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Top 5 most viewed articles from academia in 2019 - gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications
New Research Articles 2019 July Issue International Journal of Artificial Int...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas
FUTURISTIC TECHNOLOGY IN ARCHITECTURE & PLANNING - AUGMENTED AND VIRTUAL REAL...ijscai
Speed has become a way of life. We are asymptotically piling data. Speed can be achieved with new design
processes, techniques, and Technology. Innovations AR and VR are just some of the many forms of
technologies that will play a key role in shaping the Architecture and Planning of tomorrow, making it
future-ready and ushering in a new age of innovation. AR and VR in Architecture & Planning were
introduced as assisting tools and has helped generate multiple design options, expanded possibilities of
visualization, and provided us with more enhanced, detailed, and specific experience in real-time; enabling
us to see the resultsof work on hand well before the commencement of the project. These tools are further
developed for city development decisions, helping citizens interact with local authorities, access public
services, and plan their commute. After reviewing multiple research papers, it had been observed that each
one is moving forward with the changes brought by it, without entirely understanding its role. This paper
provides a summary of theappliance of AR & VR in architecture and planning.
Integrating Web Services With Geospatial Data Mining Disaster Management for ...Waqas Tariq
Data Mining (DM) and Geographical Information Systems (GIS) are complementary techniques for describing, transforming, analyzing and modeling data about real world system. GIS and DM are naturally synergistic technologies that can be joined to produce powerful market insight from a sea of disparate data. Web Services would greatly simplify the development of many kinds of data integration and knowledge management applications. This research aims to develop a Spatial DM web service. It integrates state of the art GIS and DM functionality in an open, highly extensible, web-based architecture. The Interoperability of geospatial data previously focus just on data formats and standards. The recent popularity and adoption of Web Services has provided new means of interoperability for geospatial information not just for exchanging data but for analyzing these data during exchange as well. An integrated, user friendly Spatial DM System available on the internet via a web service offers exciting new possibilities for geo-spatial analysis to be ready for decision making and geographical research to a wide range of potential users.
Broadcasting Scenario under Different Protocols in MANET: A Surveyrahulmonikasharma
A wireless network enables people to communicate and access applications and information without wires. This provides freedom of movement and the ability to extend applications to different parts of a building, city, or nearly anywhere in the world. Wireless networks allow people to interact with e-mail or browse the Internet from a location that they prefer. Adhoc Networks are self-organizing wireless networks, absent any fixed infrastructure. broadcasting of data through proper channel is essential. Various protocols are designed to avoid the loss of data. In this paper an overview of different broadcast protocols are discussed.
Visualization of cartographic systems in mobile devices is a challenge due to the its own
limitations to show all the relevant information that the user needs on the screen. Within this paper we review
current state-of- the-art technological solutions to face this problem and we classify them in a novel typology. In
addition, it is shown an example case of a developed system for a logistic company specialized in dangerous
goods. The system is able to calculate optimal routes and communicate the drivers the best path in order to
achieve a great management of the company resources
This document presents a system for managing spatial databases on mobile devices. It proposes an architecture with three tiers: a data tier providing open standards interfaces, a middleware tier enabling access to spatial data services, and a mobile tier with GIS software to access, display, and edit spatial data locally. It describes a prototype implementation on Android phones using OpenStreetMap data stored locally in a spatial database to allow spatial queries without internet. The prototype demonstrates line-of-sight and field-of-view queries to filter objects not visible to the user and reduce information overload.
Text region extraction from low resolution display board imaIAEME Publication
The document presents a new method for extracting text regions from low resolution display board images using wavelet features. The method divides the input image into 50x50 pixel blocks and extracts wavelet energy features from each block at two resolution levels. These features are used to classify blocks as text or non-text using discriminant functions. Detected text blocks are then merged to extract text regions. The method achieved a 97% detection rate on a variety of 100 low resolution display board images each sized 240x320 pixels.
This document summarizes research on analyzing driving safety risks using naturalistic driving data. Key points:
- Researchers analyzed potential crash data from over 6,000 drivers, which included vehicle status, driving environment, road type, weather, and driver details. About 6% of drivers were identified as high-risk and 18% as high/moderate risk.
- Factors found to have a strong relationship with high-risk driving included speed during braking, age, personality traits, and environmental conditions.
- The results indicate that identifying and predicting high-risk drivers could help greatly in developing proactive driver training programs and safety countermeasures.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A Study on Data Visualization Techniques of Spatio Temporal DataIJMTST Journal
Data visualization is an important tool to analyze complex Spatio Temporal data. The spatio-temporal data
can be visualized using 2D, 3D or any other type of maps. Cartography is the major technique used in
mapping. The data can also be visualized by placing different layers of maps one on other, which is done by
using GIS. Many data visualization techniques are in trend but the usage of the techniques must be decided
by considering the application requirements.
New research articles 2019 may issue international journal of computer networ...IJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
Crowd Recognition System Based on Optical Flow Along with SVM classifierIJECEIAES
The manuscript discusses about abnormalities in a crowded scenario. To prevent the mishap at a public place, there is no much mechanism which could prevent or alert the concerned authority about suspects in a crowd. Usually in a crowded scene, there are chances of some mishap like a terrorist attack or a crime. Our target is finding techniques to identify such activities and to possibly prevent them. If the crowd members exhibit abnormal behavior, we could identify and say that this particular person is a suspect and then the concerned authority would look into the matter. There are various methods to identify the abnormal behavior. The proposed approach is based on optical flow model. It has an ability to detect the sudden changes in motion of an individual among the crowd. First, the main region of motion is extracted by the help of motion heat map. Harris corner detector is used for extracting point of interest of extracted motion area. Based on the point of interest an optical flow is estimated here. After analyzing this optical flow model, a threshold value is fixed. Basically optical flow is an energy level of individual frame. The threshold value is forwarded to SVM classifier, which produces a better result with 99.71% accuracy. This approach is very useful in real time video surveillance system where a machine can monitor unwanted crowd activity.
Visit First American Auto Glass in Los Angeles, CA for auto glass repair, windshield repair service at low cost.We provide best Auto glass Repairing service in Los Angeles Area.
Dennis Cunanan was born into a simple family in Pampanga and instilled with principles of service from a young age. He worked hard and achieved academic and professional success, holding many government positions over the years including directorships. In 2012 he was elected Secretary General of Junior Chamber International, a global non-profit, and helped coordinate relief efforts for victims of Typhoon Haiyan. He will officially assume the Secretary General role in January 2014.
This document lists 10 best drives and includes the 4 door Mini Clubman, Acura MDX, Mercedes Benz CLA Class, and BMW 4 Series Coupe. It also mentions that First American Auto Glass provides quality auto glass services.
THE PRESSURE SIGNAL CALIBRATION TECHNOLOGY OF THE COMPREHENSIVE TEST SYSTEMieijjournal
The pressure signal calibration technology of the comprehensive test system which involved pressure
sensors was studied in this paper. The melioration of pressure signal calibration methods was elaborated.
Compared with the calibration methods in the lab and after analyzing the relevant problems,the
calibration technology online was achieved. The test datum and reasons of measuring error analyzed,the
uncertainty evaluation was given and then this calibration method was proved to be feasible and accurate.
An instruction was given to make an elephant out of paper. The instruction was authored by someone named Branden. No other details were provided on how to make the paper elephant or for what purpose.
Coastal Seminar; 2+ Years After Superstorm Sandy...Now What?Jim Flanagan
2+ years after Superstorm Sandy changed everything in Toms River, NJ, homeowners still have more questions than answers. This presentation, and the Coastal Team that presented it, may have some answers to those questions.
Here's some hot wheels which are all set to conquer the imagination of car connoisseurs.Get more information please visit www.firstamericanautoglass.com
Big data is a prominent term which characterizes the improvement and availability of data in all three
formats like structure, unstructured and semi formats. Structure data is located in a fixed field of a record
or file and it is present in the relational data bases and spreadsheets whereas an unstructured data file
includes text and multimedia contents. The primary objective of this big data concept is to describe the
extreme volume of data sets i.e. both structured and unstructured. It is further defined with three “V”
dimensions namely Volume, Velocity and Variety, and two more “V” also added i.e. Value and Veracity.
Volume denotes the size of data, Velocity depends upon the speed of the data processing, Variety is
described with the types of the data, Value which derives the business value and Veracity describes about
the quality of the data and data understandability. Nowadays, big data has become unique and preferred
research areas in the field of computer science. Many open research problems are available in big data
and good solutions also been proposed by the researchers even though there is a need for development of
many new techniques and algorithms for big data analysis in order to get optimal solutions. In this paper,
a detailed study about big data, its basic concepts, history, applications, technique, research issues and
tools are discussed.
AN IMPROVED METHOD TO DETECT INTRUSION USING MACHINE LEARNING ALGORITHMSieijjournal
An intrusion detection system detects various malicious behaviors and abnormal activities that might harm
security and trust of computer system. IDS operate either on host or network level via utilizing anomaly
detection or misuse detection. Main problem is to correctly detect intruder attack against computer
network. The key point of successful detection of intrusion is choice of proper features. To resolve the
problems of IDS scheme this research work propose “an improved method to detect intrusion using
machine learning algorithms”. In our paper we use KDDCUP 99 dataset to analyze efficiency of intrusion
detection with different machine learning algorithms like Bayes, NaiveBayes, J48, J48Graft and Random
forest. To identify network based IDS with KDDCUP 99 dataset, experimental results shows that the three
algorithms J48, J48Graft and Random forest gives much better results than other machine learning
algorithms. We use WEKA to check the accuracy of classified dataset via our proposed method. We have
considered all the parameter for computation of result i.e. precision, recall, F – measure and ROC.
Mobile information collectors trajectory data warehouse designIJMIT JOURNAL
To analyze complex phenomena which involve moving objects, Trajectory Data Warehouse (TDW) seems to be an answer for many recent decision problems related to various professions (physicians, commercial representatives, transporters, ecologists …) concerned with mobility. This work aims to make trajectories as a first class concept in the trajectory data conceptual model and to design a TDW, in which data resulting from mobile information collectors’ trajectory are gathered. These data will be analyzed, according to trajectory characteristics, for decision making purposes, such as new products commercialization, new commerce implementation, etc.
MODELLING DYNAMIC PATTERNS USING MOBILE DATAcscpconf
Understanding, modeling and simulating human mobility among urban regions is very challengeable effort. It is very important in rescue situations for many kinds of events, either in the indoor events like evacuation of buildings or outdoor ones like public assemblies, community evacuation, in exigency situations there are several incidents could be happened, the overcrowding causes injuries and death cases, which are emerged during emergency situations, as well as it serves urban planning and smart cities. The aim of this study is to explore the characteristics of human mobility patterns, and model themmathematically depending on inter-event time and traveled distances (displacements) parameters by using CDRs (Call Detailed Records) during Armada festival in France. However, the results of the numerical simulation endorse the other studies findings in that the most of real systems patterns are almost follows an exponential distribution. In the future the mobility patterns could be classified according (work or off) days, and the radius of gyration could be considered as effective parameter in modelling human mobility.
Modelling dynamic patterns using mobile datacsandit
Understanding, modeling and simulating human mobility among urban regions is very challengeable
effort. It is very important in rescue situations for many kinds of events, either in the indoor events like
evacuation of buildings or outdoor ones like public assemblies, community evacuation, in exigency
situations there are several incidents could be happened, the overcrowding causes injuries and death
cases, which are emerged during emergency situations, as well as it serves urban planning and smart
cities. The aim of this study is to explore the characteristics of human mobility patterns, and model them
mathematically depending on inter-event time and traveled distances (displacements) parameters by using
CDRs (Call Detailed Records) during Armada festival in France. However, the results of the numerical
simulation endorse the other studies findings in that the most of real systems patterns are almost follows an
exponential distribution. In the future the mobility patterns could be classified according (work or off)
days, and the radius of gyration could be considered as effective parameter in modelling human mobility
Applicability of big data techniques to smart cities deploymentsNexgen Technology
GET IEEE BIG DATA,JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER
FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159
www.nexgenproject.com
Human Mobility Patterns Modelling using CDRsijujournal
The research objectives are exploring characteristics of human mobility patterns, subsequently modelling
them mathematically depending on inter-event time ∆t and traveled distances ∆rparameters using CDRs
(Call Detailed Records). The observations are obtained from Armada festival in France. Understanding,
modelling and simulating human mobility among urban regions is excitement approach, due to
itsimportance in rescue situations for various events either indoor events like evacuation of buildings or
outdoor ones like public assemblies,community evacuation in casesemerged during emergency situations,
moreover serves urban planning and smart cities. The results of numerical simulation are consistent
withpreviousinvestigations findings in that real systems patterns are almost follow an exponential
distribution.Further experimentations could classify mobility patterns into major classes (work or off) days,
also radius of gyration could be considered as influential parameter in modelling human mobility,
additionally city rhythm could be extracted by modelling mobility speed of individuals.
Text region extraction from low resolution display board imaIAEME Publication
The document presents a new method for extracting text regions from low resolution display board images using wavelet features. The method divides the input image into 50x50 pixel blocks and extracts wavelet energy features from each block at two resolution levels. These features are used to classify blocks as text or non-text using discriminant functions. Detected text blocks are then merged to extract text regions. The method achieved a 97% detection rate on a variety of 100 low resolution display board images each sized 240x320 pixels.
This document summarizes research on analyzing driving safety risks using naturalistic driving data. Key points:
- Researchers analyzed potential crash data from over 6,000 drivers, which included vehicle status, driving environment, road type, weather, and driver details. About 6% of drivers were identified as high-risk and 18% as high/moderate risk.
- Factors found to have a strong relationship with high-risk driving included speed during braking, age, personality traits, and environmental conditions.
- The results indicate that identifying and predicting high-risk drivers could help greatly in developing proactive driver training programs and safety countermeasures.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A Study on Data Visualization Techniques of Spatio Temporal DataIJMTST Journal
Data visualization is an important tool to analyze complex Spatio Temporal data. The spatio-temporal data
can be visualized using 2D, 3D or any other type of maps. Cartography is the major technique used in
mapping. The data can also be visualized by placing different layers of maps one on other, which is done by
using GIS. Many data visualization techniques are in trend but the usage of the techniques must be decided
by considering the application requirements.
New research articles 2019 may issue international journal of computer networ...IJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
Crowd Recognition System Based on Optical Flow Along with SVM classifierIJECEIAES
The manuscript discusses about abnormalities in a crowded scenario. To prevent the mishap at a public place, there is no much mechanism which could prevent or alert the concerned authority about suspects in a crowd. Usually in a crowded scene, there are chances of some mishap like a terrorist attack or a crime. Our target is finding techniques to identify such activities and to possibly prevent them. If the crowd members exhibit abnormal behavior, we could identify and say that this particular person is a suspect and then the concerned authority would look into the matter. There are various methods to identify the abnormal behavior. The proposed approach is based on optical flow model. It has an ability to detect the sudden changes in motion of an individual among the crowd. First, the main region of motion is extracted by the help of motion heat map. Harris corner detector is used for extracting point of interest of extracted motion area. Based on the point of interest an optical flow is estimated here. After analyzing this optical flow model, a threshold value is fixed. Basically optical flow is an energy level of individual frame. The threshold value is forwarded to SVM classifier, which produces a better result with 99.71% accuracy. This approach is very useful in real time video surveillance system where a machine can monitor unwanted crowd activity.
Visit First American Auto Glass in Los Angeles, CA for auto glass repair, windshield repair service at low cost.We provide best Auto glass Repairing service in Los Angeles Area.
Dennis Cunanan was born into a simple family in Pampanga and instilled with principles of service from a young age. He worked hard and achieved academic and professional success, holding many government positions over the years including directorships. In 2012 he was elected Secretary General of Junior Chamber International, a global non-profit, and helped coordinate relief efforts for victims of Typhoon Haiyan. He will officially assume the Secretary General role in January 2014.
This document lists 10 best drives and includes the 4 door Mini Clubman, Acura MDX, Mercedes Benz CLA Class, and BMW 4 Series Coupe. It also mentions that First American Auto Glass provides quality auto glass services.
THE PRESSURE SIGNAL CALIBRATION TECHNOLOGY OF THE COMPREHENSIVE TEST SYSTEMieijjournal
The pressure signal calibration technology of the comprehensive test system which involved pressure
sensors was studied in this paper. The melioration of pressure signal calibration methods was elaborated.
Compared with the calibration methods in the lab and after analyzing the relevant problems,the
calibration technology online was achieved. The test datum and reasons of measuring error analyzed,the
uncertainty evaluation was given and then this calibration method was proved to be feasible and accurate.
An instruction was given to make an elephant out of paper. The instruction was authored by someone named Branden. No other details were provided on how to make the paper elephant or for what purpose.
Coastal Seminar; 2+ Years After Superstorm Sandy...Now What?Jim Flanagan
2+ years after Superstorm Sandy changed everything in Toms River, NJ, homeowners still have more questions than answers. This presentation, and the Coastal Team that presented it, may have some answers to those questions.
Here's some hot wheels which are all set to conquer the imagination of car connoisseurs.Get more information please visit www.firstamericanautoglass.com
Big data is a prominent term which characterizes the improvement and availability of data in all three
formats like structure, unstructured and semi formats. Structure data is located in a fixed field of a record
or file and it is present in the relational data bases and spreadsheets whereas an unstructured data file
includes text and multimedia contents. The primary objective of this big data concept is to describe the
extreme volume of data sets i.e. both structured and unstructured. It is further defined with three “V”
dimensions namely Volume, Velocity and Variety, and two more “V” also added i.e. Value and Veracity.
Volume denotes the size of data, Velocity depends upon the speed of the data processing, Variety is
described with the types of the data, Value which derives the business value and Veracity describes about
the quality of the data and data understandability. Nowadays, big data has become unique and preferred
research areas in the field of computer science. Many open research problems are available in big data
and good solutions also been proposed by the researchers even though there is a need for development of
many new techniques and algorithms for big data analysis in order to get optimal solutions. In this paper,
a detailed study about big data, its basic concepts, history, applications, technique, research issues and
tools are discussed.
AN IMPROVED METHOD TO DETECT INTRUSION USING MACHINE LEARNING ALGORITHMSieijjournal
An intrusion detection system detects various malicious behaviors and abnormal activities that might harm
security and trust of computer system. IDS operate either on host or network level via utilizing anomaly
detection or misuse detection. Main problem is to correctly detect intruder attack against computer
network. The key point of successful detection of intrusion is choice of proper features. To resolve the
problems of IDS scheme this research work propose “an improved method to detect intrusion using
machine learning algorithms”. In our paper we use KDDCUP 99 dataset to analyze efficiency of intrusion
detection with different machine learning algorithms like Bayes, NaiveBayes, J48, J48Graft and Random
forest. To identify network based IDS with KDDCUP 99 dataset, experimental results shows that the three
algorithms J48, J48Graft and Random forest gives much better results than other machine learning
algorithms. We use WEKA to check the accuracy of classified dataset via our proposed method. We have
considered all the parameter for computation of result i.e. precision, recall, F – measure and ROC.
Mobile information collectors trajectory data warehouse designIJMIT JOURNAL
To analyze complex phenomena which involve moving objects, Trajectory Data Warehouse (TDW) seems to be an answer for many recent decision problems related to various professions (physicians, commercial representatives, transporters, ecologists …) concerned with mobility. This work aims to make trajectories as a first class concept in the trajectory data conceptual model and to design a TDW, in which data resulting from mobile information collectors’ trajectory are gathered. These data will be analyzed, according to trajectory characteristics, for decision making purposes, such as new products commercialization, new commerce implementation, etc.
MODELLING DYNAMIC PATTERNS USING MOBILE DATAcscpconf
Understanding, modeling and simulating human mobility among urban regions is very challengeable effort. It is very important in rescue situations for many kinds of events, either in the indoor events like evacuation of buildings or outdoor ones like public assemblies, community evacuation, in exigency situations there are several incidents could be happened, the overcrowding causes injuries and death cases, which are emerged during emergency situations, as well as it serves urban planning and smart cities. The aim of this study is to explore the characteristics of human mobility patterns, and model themmathematically depending on inter-event time and traveled distances (displacements) parameters by using CDRs (Call Detailed Records) during Armada festival in France. However, the results of the numerical simulation endorse the other studies findings in that the most of real systems patterns are almost follows an exponential distribution. In the future the mobility patterns could be classified according (work or off) days, and the radius of gyration could be considered as effective parameter in modelling human mobility.
Modelling dynamic patterns using mobile datacsandit
Understanding, modeling and simulating human mobility among urban regions is very challengeable
effort. It is very important in rescue situations for many kinds of events, either in the indoor events like
evacuation of buildings or outdoor ones like public assemblies, community evacuation, in exigency
situations there are several incidents could be happened, the overcrowding causes injuries and death
cases, which are emerged during emergency situations, as well as it serves urban planning and smart
cities. The aim of this study is to explore the characteristics of human mobility patterns, and model them
mathematically depending on inter-event time and traveled distances (displacements) parameters by using
CDRs (Call Detailed Records) during Armada festival in France. However, the results of the numerical
simulation endorse the other studies findings in that the most of real systems patterns are almost follows an
exponential distribution. In the future the mobility patterns could be classified according (work or off)
days, and the radius of gyration could be considered as effective parameter in modelling human mobility
Applicability of big data techniques to smart cities deploymentsNexgen Technology
GET IEEE BIG DATA,JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER
FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159
www.nexgenproject.com
Human Mobility Patterns Modelling using CDRsijujournal
The research objectives are exploring characteristics of human mobility patterns, subsequently modelling
them mathematically depending on inter-event time ∆t and traveled distances ∆rparameters using CDRs
(Call Detailed Records). The observations are obtained from Armada festival in France. Understanding,
modelling and simulating human mobility among urban regions is excitement approach, due to
itsimportance in rescue situations for various events either indoor events like evacuation of buildings or
outdoor ones like public assemblies,community evacuation in casesemerged during emergency situations,
moreover serves urban planning and smart cities. The results of numerical simulation are consistent
withpreviousinvestigations findings in that real systems patterns are almost follow an exponential
distribution.Further experimentations could classify mobility patterns into major classes (work or off) days,
also radius of gyration could be considered as influential parameter in modelling human mobility,
additionally city rhythm could be extracted by modelling mobility speed of individuals.
Human Mobility Patterns Modelling using CDRsijujournal
The research objectives are exploring characteristics of human mobility patterns, subsequently modelling
them mathematically depending on inter-event time ∆t and traveled distances ∆rparameters using CDRs
(Call Detailed Records). The observations are obtained from Armada festival in France. Understanding,
modelling and simulating human mobility among urban regions is excitement approach, due to
itsimportance in rescue situations for various events either indoor events like evacuation of buildings or
outdoor ones like public assemblies,community evacuation in casesemerged during emergency situations,
moreover serves urban planning and smart cities. The results of numerical simulation are consistent
withpreviousinvestigations findings in that real systems patterns are almost follow an exponential
distribution.Further experimentations could classify mobility patterns into major classes (work or off) days,
also radius of gyration could be considered as influential parameter in modelling human mobility,
additionally city rhythm could be extracted by modelling mobility speed of individuals.
Human mobility patterns modelling using cd rsijujournal
The research objectives are exploring characteristics of human mobility patterns, subsequently modelling them mathematically depending on inter-event time ∆t and traveled distances ∆rparameters using CDRs (Call Detailed Records). The observations are obtained from Armada festival in France. Understanding, modelling and simulating human mobility among urban regions is excitement approach, due to
itsimportance in rescue situations for various events either indoor events like evacuation of buildings or
outdoor ones like public assemblies,community evacuation in casesemerged during emergency situations,
moreover serves urban planning and smart cities. The results of numerical simulation are consistent withpreviousinvestigations findings in that real systems patterns are almost follow an exponential distribution.Further experimentations could classify mobility patterns into major classes (work or off) days,
also radius of gyration could be considered as influential parameter in modelling human mobility, additionally city rhythm could be extracted by modelling mobility speed of individuals.
This document describes a thesis that aims to classify users traveling between Rome and Milan into different transportation modes (railway, highway, air) based on their mobility traces recorded in call detail records (CDR). The thesis will analyze the spatio-temporal information in CDR to construct user journey trajectories between the two cities. It will then classify the trajectories into different transportation modes using a "cell probabilities" method and "journey compatibility" method that compares the trajectories to manually identified sample journeys for each mode. The goal is to infer users' transportation modes to better understand human mobility patterns between the two major Italian cities.
This document proposes an Internet of Things (IoT) system to create a smart educational institute. The system would use an Android application to guide visitors around the large campus using a collection of static images stored in a database. It would allow users to view information about different campus locations like departments, cafeterias, and parking based on their current location. The system architecture includes user profiles, a mapping module using Free Space Path Loss to determine location, an image module to display location images, and a recommendation module. The goal is to make it easier for new visitors and students to navigate the campus using their mobile devices.
Review Paper on Intelligent Traffic Control system using Computer Vision for ...JANAK TRIVEDI
This document reviews research on intelligent traffic control systems for smart cities using computer vision. It discusses various algorithms that have been proposed for tasks like vehicle tracking, incident detection, and parking availability. It also describes some smart phone applications and projects from companies that aim to improve transportation management systems. While progress has been made, the document notes that challenges remain like dealing with different lighting conditions and weather events. It concludes that more work is still needed to better implement real-time traffic management in smart cities.
Real-time human activity recognition from smart phone using linear support ve...TELKOMNIKA JOURNAL
The recognition of human activity (HAR) the use of cell devices embedded in its exten sively disbursed sensors affords guidance, instructions, and take care of citizens of smart cities. Consequently, it became essential to analyze human every day sports. To examine statistical models of human conduct, synthetic intelligence strategies such as machine studying can be used. Many studies have not studied type overall performance in real-time due to statistics series. To remedy this trouble, this paper proposes a structure primarily based on open supply technology and platforms consisting of Apache Kafka, for messages to flow over the internet, method them and provide shape for existing facts in real-time and formulates the trouble of identifying human pastime by using a smartphone tool as a type hassle using statistics collection by telephone sensors. The proposed version is skilled by some machine learning algorithms. The algorithm that has proven superior and quality results helps a linear vector machines.
This document summarizes a study that analyzed location and social media data from attendees at the 2015 Roskilde Music Festival in Denmark. The study collected GPS location data from over 39,000 festival attendees who opted-in to sharing their location via a festival mobile app. It also collected over 20,000 geo-tagged social media posts from Instagram and over 35,000 geo-tagged tweets. The study analyzed how attendees moved around the festival grounds and compared this physical movement data to the places they discussed and shared photos of on social media. It found that these two data sources revealed how attendees appropriated the festival spaces and experiences through both physical presence and online sharing with their social networks.
The document summarizes several papers related to crime detection using computer vision techniques. It discusses approaches for detecting fights in videos using features like STIP and MoSIFT descriptors. It also reviews methods for detecting emotions from body movements and recognizing crowd behaviors in video sequences. Several algorithms are presented, including FSCB for real-time crowd behavior detection and a three-pronged approach using texture, color, and motion history for moving object detection. The document analyzes trajectory-based and pixel-based techniques for unsupervised abnormal event detection.
The document describes a proposed system for managing and archiving data from a metal detection robot using wireless technology and an online database. The system includes:
1. A metal detection robot that uses sensors to detect metals and obstacles, and is remotely controlled via a computer application using Bluetooth.
2. A management system that allows administrators to control robot functions, set user permissions, and store detection results in a database.
3. An online database that archives detection reports and results for current and future mapping and investigation purposes.
Taking advantage of state of the art underwater vehicles and current networking capabilities, the visionary
double objective of this work is to “open to people connected to the Internet, an access to ocean depths
anytime, anywhere.” Today, these people can just perceive the changing surface of the sea from the shores,
but ignore almost everything on what is hidden. If they could explore seabed and become knowledgeable,
they would get involved in finding alternative solutions for our vital terrestrial problems – pollution,
climate changes, destruction of biodiversity and exhaustion of Earth resources. The second objective is to
assist professionals of underwater world in performing their tasks by augmenting the perception of the
scene and offering automated actions such as wildlife monitoring and counting. The introduction of Mixed
Reality and Internet in aquatic activities constitutes a technological breakthrough when compared with the
status of existing related technologies. Through Internet, anyone, anywhere, at any moment will be
naturally able to dive in real-time using a Remote Operated Vehicle (ROV) in the most remarkable sites
around the world. The heart of this work is focused on Mixed Reality. The main challenge is to reach real
time display of digital video stream to web users, by mixing 3D entities (objects or pre-processed
underwater terrain surfaces), with 2D videos of live images collected in real time by a teleoperated ROV.
Quantified Self movement allows to collect a lot of
personal data which can be used to nurture the model
of the users. Evenly, when aggregated, these personal
data become a picture of the people of a space in a City
Model. This model can be fed also by data coming from
crowdsensing. The resulting City Model can be used to
provide personalized services to citizen, and to increase
people awareness about their behaviour that can help
in promoting collective behavioural change. The paper
FUTURISTIC TECHNOLOGY IN ARCHITECTURE & PLANNING - AUGMENTED AND VIRTUAL REAL...ijscai
Speed has become a way of life. We are asymptotically piling data. Speed can be achieved with new design
processes, techniques, and Technology. Innovations AR and VR are just some of the many forms of
technologies that will play a key role in shaping the Architecture and Planning of tomorrow, making it
future-ready and ushering in a new age of innovation. AR and VR in Architecture & Planning were
introduced as assisting tools and has helped generate multiple design options, expanded possibilities of
visualization, and provided us with more enhanced, detailed, and specific experience in real-time; enabling
us to see the resultsof work on hand well before the commencement of the project. These tools are further
developed for city development decisions, helping citizens interact with local authorities, access public
services, and plan their commute. After reviewing multiple research papers, it had been observed that each
one is moving forward with the changes brought by it, without entirely understanding its role. This paper
provides a summary of theappliance of AR & VR in architecture and planning.
FUTURISTIC TECHNOLOGY IN ARCHITECTURE & PLANNING - AUGMENTED AND VIRTUAL REAL...ijscai
Speed has become a way of life. We are asymptotically piling data. Speed can be achieved with new design
processes, techniques, and Technology. Innovations AR and VR are just some of the many forms of
technologies that will play a key role in shaping the Architecture and Planning of tomorrow, making it
future-ready and ushering in a new age of innovation. AR and VR in Architecture & Planning were
introduced as assisting tools and has helped generate multiple design options, expanded possibilities of
visualization, and provided us with more enhanced, detailed, and specific experience in real-time; enabling
us to see the resultsof work on hand well before the commencement of the project. These tools are further
developed for city development decisions, helping citizens interact with local authorities, access public
services, and plan their commute. After reviewing multiple research papers, it had been observed that each
one is moving forward with the changes brought by it, without entirely understanding its role. This paper
provides a summary of theappliance of AR & VR in architecture and planning.
FUTURISTIC TECHNOLOGY IN ARCHITECTURE & PLANNING - AUGMENTED AND VIRTUAL REAL...ijscai
This document provides an overview of augmented reality (AR) and virtual reality (VR) technologies and their applications in architecture and urban planning. It first discusses how AR and VR have helped generate multiple design options, improve visualization, and provide more detailed virtual experiences of projects before they are built. It then reviews several research papers on the topics of AR/VR in design. Key applications discussed include enabling better collaboration and ideation, analyzing spatial relationships, and allowing public involvement in design decisions. The document also outlines some challenges to wider adoption of these technologies, such as technical limitations of equipment and the need for more specialized tools tailored for the design field.
There have been two main categories of research on mining moving object data: moving object cluster discovery and trajectory clustering. Moving object clustering identifies groups of objects that travel together without defined locations, while trajectory clustering groups locations based on similar object movements but ignores traveling time. Recent studies have proposed concepts like temporal moving object swarms that capture objects moving within non-consecutive time-based clusters, and probabilistic modeling of trajectory sets to identify common paths between trajectories. Future work could focus on clustering algorithms that integrate both location and time dimensions to better characterize moving object behaviors.
Similar to ADAPTIVE MODELING OF URBAN DYNAMICS DURING EPHEMERAL EVENT VIA MOBILE PHONE TRACES (20)
THE PRESSURE SIGNAL CALIBRATION TECHNOLOGY OF THE COMPREHENSIVE TEST SYSTEMieijjournal
The pressure signal calibration technology of the comprehensive test system which involved pressure
sensors was studied in this paper. The melioration of pressure signal calibration methods was elaborated.
Compared with the calibration methods in the lab and after analyzing the relevant problems,the
calibration technology online was achieved. The test datum and reasons of measuring error analyzed,the
uncertainty evaluation was given and then this calibration method was proved to be feasible and accurate.
8 th International Conference on Education (EDU 2023)ieijjournal
8th International Conference on Education (EDU 2023) will provide an excellent
international forum for sharing knowledge and results in theory, methodology and
applications impacts and challenges of education. The conference documents practical and
theoretical results which make a fundamental contribution for the development of
Educational research. The goal of this conference is to bring together researchers and
practitioners from academia and industry to focus on Educational advancements and
establishing new collaborations in these areas. Original research papers, state-of-the-art
reviews are invited for publication in all areas of Education
Informatics Engineering, an International Journal (IEIJ)ieijjournal
The document is a call for papers for the Informatics Engineering, an International Journal. It discusses that informatics is a rapidly developing field involving human-computer interaction and interface design. It aims to bring together researchers from academia and industry working in areas of computing, communication, multimedia, and human-computer interaction. Topics of interest include computational complexity, artificial intelligence, database mining, health informatics and more. Authors are invited to submit original papers by May 27, 2023.
Big data is a prominent term which characterizes the improvement and availability of data in all three
formats like structure, unstructured and semi formats. Structure data is located in a fixed field of a record
or file and it is present in the relational data bases and spreadsheets whereas an unstructured data file
includes text and multimedia contents. The primary objective of this big data concept is to describe the
extreme volume of data sets i.e. both structured and unstructured. It is further defined with three “V”
dimensions namely Volume, Velocity and Variety, and two more “V” also added i.e. Value and Veracity.
Volume denotes the size of data, Velocity depends upon the speed of the data processing, Variety is
described with the types of the data, Value which derives the business value and Veracity describes about
the quality of the data and data understandability. Nowadays, big data has become unique and preferred
research areas in the field of computer science. Many open research problems are available in big data
and good solutions also been proposed by the researchers even though there is a need for development of
many new techniques and algorithms for big data analysis in order to get optimal solutions. In this paper,
a detailed study about big data, its basic concepts, history, applications, technique, research issues and
tools are discussed.
LOW POWER SI CLASS E POWER AMPLIFIER AND RF SWITCH FOR HEALTH CAREieijjournal
This research was to design a 2.4 GHz class E Power Amplifier (PA) for health care, with 0.18um
Semiconductor Manufacturing International Corporation CMOS technology by using Cadence software.
And also RF switch was designed at cadence software with power Jazz 180nm SOI process. The ultimate
goal for such application is to reach high performance and low cost, and between high performance and
low power consumption design. This paper introduces the design of a 2.4GHz class E power amplifier and
RF switch design. PA consists of cascade stage with negative capacitance. This power amplifier can
transmit 16dBm output power to a 50Ω load. The performance of the power amplifier and switch meet the
specification requirements of the desired
PRACTICE OF CALIBRATION TECHNOLOGY FOR THE SPECIAL TEST EQUIPMENT ieijjournal
For the issues encountered in the special test equipment calibration work, based on the characteristics of
special test equipment, the calibration point selection,classification of calibration parameters and
calibration method of special test equipment are briefly introduced in this paper, at the same time, the
preparation and management requirements of calibration specification are described.
8th International Conference on Signal, Image Processing and Embedded Systems...ieijjournal
8th International Conference on Signal, Image Processing and Embedded Systems (SIGEM 2022) is a forum for presenting new advances and research results in the fields of Digital Image Processing and Embedded Systems.
Informatics Engineering, an International Journal (IEIJ)ieijjournal
Informatics is rapidly developing field. The study of informatics involves human-computer interaction and how an interface can be built to maximize user-efficiency. Due to the growth in IT, individuals and organizations increasingly process information digitally. This has led to the study of informatics to solve privacy, security, healthcare, education, poverty, and challenges in our environment.
International Conference on Artificial Intelligence Advances (AIAD 2022) ieijjournal
International Conference on Artificial Intelligence Advances (AIAD 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Artificial Intelligence. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the research area. Core areas of AI and advanced multi-disciplinary and its applications will be covered during the conferences.
Informatics Engineering, an International Journal (IEIJ)ieijjournal
Call for papers...!!!
Informatics Engineering, an International Journal (IEIJ)
https://airccse.org/journal/ieij/index.html
Submission Deadline: July 02, 2022
Here's where you can reach us : ieijjournal@yahoo.com or ieij@aircconline.com
http://coneco2009.com/submissions/imagination/home.html
8th International Conference on Artificial Intelligence and Soft Computing (A...ieijjournal
Call for papers...!!!
8th International Conference on Artificial Intelligence and Soft Computing (AIS 2022)
August 20 ~ 21, 2022, Chennai, India
https://csit2022.org/ais/index
Submission Deadline: July 02, 2022
Here's where you can reach us : ais@csit2022.org or aisconf@yahoo.com
https://csit2022.org/submission/index.php
Informatics Engineering, an International Journal (IEIJ) ieijjournal
Informatics Engineering, an International Journal (IEIJ)
Submission Deadline : June 18, 2022
submission link
http://coneco2009.com/submissions/imagination/home.html
website link
https://airccse.org/journal/ieij/index.html
contact us
ieijjournal@yahoo.com or ieij@aircconline.com
International Conference on Artificial Intelligence Advances (AIAD 2022)ieijjournal
International Conference on Artificial Intelligence Advances (AIAD 2022)
August 27 ~ 28, 2022, Virtual Conference
Webpage URL:
https://www.aiad2022.org/
Submission Deadline: June 04, 2022
Contact us:
Here's where you can reach us: aiad@aiad2022.org (or) aiadconf@yahoo.com
Informatics Engineering, an International Journal (IEIJ)ieijjournal
call for paper
Informatics Engineering, an International Journal (IEIJ)
Submission Deadline : May 28, 2022
Submit your paper through online :
http://coneco2009.com/submissions/imagination/home.html
Submit your paper through mail:
ieijjournal@yahoo.com or ieij@aircconline.com
for more details:
https://airccse.org/journal/ieij/index.html
Informatics Engineering, an International Journal (IEIJ) ieijjournal
The document is a call for papers for the Informatics Engineering, an International Journal. It discusses that informatics is a rapidly developing field involving human-computer interaction and interface design. It aims to bring together researchers from academia and industry working in areas of computing, communication, multimedia, and human-computer interaction. Topics of interest include computational complexity, artificial intelligence, database mining, health informatics and more. Authors are invited to submit original papers by the given deadline.
LOW POWER SI CLASS E POWER AMPLIFIER AND RF SWITCH FOR HEALTH CAREieijjournal
This research was to design a 2.4 GHz class E Power Amplifier (PA) for health care, with 0.18um
Semiconductor Manufacturing International Corporation CMOS technology by using Cadence software.
And also RF switch was designed at cadence software with power Jazz 180nm SOI process. The ultimate goal for such application is to reach high performance and low cost, and between high performance and low power consumption design. This paper introduces the design of a 2.4GHz class E power amplifier and
RF switch design. PA consists of cascade stage with negative capacitance. This power amplifier can
transmit 16dBm output power to a 50Ω load. The performance of the power amplifier and switch meet the specification requirements of the desired.
FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATIONieijjournal
ASIC (Application Specific Integrated Circuit) design verification takes as long as the designers take to describe, synthesis and implement the design. The hybrid approach, where the design is first prototyped on an FPGA (Field-Programmable Gate Array) platform for functional validation and then implemented as
an ASIC allows earlier defect detection in the design process and thus allows a significant time saving.
This paper deals with a CMOS standard-cell ASIC implementation of a SoC (System on Chip) based on the
OpenRISC processor for Voice over IP (VoIP) application; where a hybrid approach is adopted. The
architecture of the design is mainly based on the reuse of IPs cores described at the RTL level. This RTL code is technology-independent; hence the design can be ported easily from FPGA to ASIC.
Informatics Engineering, an International Journal (IEIJ)ieijjournal
The document is a call for papers for the Informatics Engineering, an International Journal. It discusses that informatics is a rapidly developing field involving human-computer interaction and interface design. It aims to bring together researchers from academia and industry working in areas of computing, communication, multimedia, and human-computer interaction. Topics of interest include computational complexity, artificial intelligence, database mining, health informatics and more. Authors are invited to submit original papers by the given deadlines.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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ADAPTIVE MODELING OF URBAN DYNAMICS DURING EPHEMERAL EVENT VIA MOBILE PHONE TRACES
1. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
DOI : 10.5121/ieij.2016.4204 31
ADAPTIVE MODELING OF URBAN DYNAMICS
DURING EPHEMERAL EVENT VIA MOBILE PHONE
TRACES
Suhad Faisal Behadili1
, Cyrille Bertelle1
, and Loay E. George2
1
Normandie University, LITIS, FR CNRS 3638, ISCN, ULH, Le Havre, France
2
Baghdad University, Computer Science Department, Baghdad, Iraq
Abstract
The communication devices have produced digital traces for their users either voluntarily or not. This type
of collective data can give powerful indications that are affecting the urban systems design and
development. In this study mobile phone data during Armada event is investigated. Analyzing mobile
phone traces gives conceptual views about individuals densities and their mobility patterns in the urban
city. The geo-visualization and statistical techniques have been used for understanding human mobility
collectively and individually. The undertaken substantial parameters are inter-event times, travel distances
(displacements) and radius of gyration. They have been analyzed and simulated using computing platform
by integrating various applications for huge database management, visualization, analysis, and
simulation. Accordingly, the general population pattern law has been extracted. The study contribution
outcomes have revealed both the individuals densities in static perspective and individuals mobility in
dynamic perspective with multi levels of abstraction (macroscopic, mesoscopic, microscopic).
Keyword
Modeling, urban, mobility, Armada, inter-event time, radius of gyration, travel distance, trajectory ,
CDRs.
1. INTRODUCTION
There's no doubt that mobile phone is the most dominant tool to gather human mobility data in
spatio-temporal pattern due to its intense usage by human. Assuming every individual is
represented by at least one mobile, even if he/she can use another communication method in
view of great ICT invasion [1, 2, 3, 4, 5, 6]. The human mobility studies using CDRs has to be
highlighted to find more modeling improvements, in order to have more realistic simulation
results with flexible skills. In general, these studies are done basically in several concepts
(Macroscopic, Mesoscopic, and Microscopic) of abstraction [7, 8, 9, 10].
The multi-agent simulations are very suggestive for spatio-temporal dynamics, since they are
elaborating the relationships between micro-level individual actions and emergent macro-level
phenomena as in [66]. According to [65], multi-agent system framework, which models
emergent human social behaviors (competitive, queuing, and herding) at the microscopic level is
used. This kind of models build artificial environment composed of agents, which have the
ability to interact in intelligence and adaptability with each other [9, 12, 13]. In these models the
agents are acting based on some strategies. However, their interactions are based on
predetermined mobility conditions like (leader, follower, inhibition) agents. This type of
2. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
32
simulation is very effective for large scale rescue scenario, complex systems, and modeling
crowd behaviors [7, 14].
Recently, researches focusing on the study of the collective and individual human mobility using
CDRs [44], the segmentation of urban spaces [67], and the understanding of social events [68]
were done. The research [69] suggested the activity-aware map, using the user mobile phone to
uncover the dynamic of inhabitants for urban planning, and transportation purposes. The
researchers in [70] deal with large telecommunication database for Great Britain to explore
human interactions, and emphasized on the highly interactions correlation with administrative
regions. And in [71] they invented the co-location perspective to outline the behavior of the
interacted telecom network users, who frequently call each other and share same spatio-temporal
in a city. Whereas, the research [72] is presented the digital footprints (left traces), that are put
through individuals during their mobility in urban space. This is performed using CDRs and
georeferenced images of Flickr in order to investigate the tourists presence and mobility in Rome
city. However, the research [73] is emphasized that urban mobility is highly correlated with
individuals behavior during mobile phone usage at spatio-temporal patterns.
The human mobility understanding, modeling and simulating among urban regions is a
challengeable effort, since it is very important for many kinds of events, either in the indoor
events like evacuation of buildings, stadiums, theaters, ships, aircraft or outdoor ones like public
assemblies, open concerts, religious gatherings, community evacuation ...etc. The simulation
models of individuals mobility could be classified according to their space representation, which
could be continuous; grid based or network structure. However, they could be classified
according to their intent (specific, general), or the level of abstraction (macroscopic, mesoscopic,
microscopic) [7, 8, 9, 10, 16, 17, 18]
The major limitation of CDRs data is the mass size, so they need the sampling and accurate
manipulations to preserve their accuracy and to avoid any misused or misunderstanding. Another
problem with the CDRs is the privacy problem, since the information of the mobile network
subscribers will be vulnerable, so be announced for unauthorized parties; therefore it is
anonymized (hidden) to protect the subscribers privacy. As well as, the graphical or geographical
representation of these datasets is difficult, because of the hardware/software limitations that
could be faced during processing. The CDRs datasets overcome the acquisition problems
(financially, time consuming), but their projection and trajectories tracing still time and resource
consuming. The researchers try to solve this limitation by selecting the samples randomly from
the CDRs, and obtain the highly frequent records [60, 62, 30, 42, 63, 64, 32, 10, 33, 20, 12, 28].
This research captures the case study data in two phases; the analysis phase, and the modeling
and simulation phase with regards to spatio-temporal features. The perspectives are elaborated in
both static and dynamic views. The analysis and representation of the individuals concentration
in the observed region are achieved in order to give a static view perspective for the investigated
data, as will be shown in section 3. Thereafter, the statistical techniques are applied on the
investigated data to model and simulate the human mobility, which gives the dynamic view
perspective. The modeling and simulating of the Armada data event is performed at two levels:
1. Collective level: The data of aggregated space, aggregated time intervals, and both of
them, which are pointing to aggregated data items. They are manipulated using statistical
probability distributions. As will be elaborated in section 4.
2. Individual level: The data of space and time, which are pointing to individual items, they
are used to reconstruct the individuals trajectories via a mathematical model of physical
mobility characteristics. As will be elaborated in section 5.
3. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
33
2. DATA SET OF ARMADA CASE STUDY AND MOBILE NETWORKS DATA
The analysis of mobile phone traces allows describing human mobility with accuracy as never
done before. These data are spatio-temporal data could be registered as CDRs (Call Detail
Records), which have both time and spatial properties. Their unique features enable them to
reflect human mobility in real time. Also, they have complex nature and a very rich environment
to obtain human life pattern elaboration from multi points of view [19, 20, 4]. The main objective
of this contribution is modeling and simulating individuals mobility during Armada event. The
essential material used in this study is database generated by the given mobile phone operator
(Orange Company in France) in form of CDRs.
Armada is the name of the famous marine festival takes ten days period, it takes place every 4
years periodically [21, 22]. Large sailing ships, private yachts, naval ships and even military
frigate schooners are gathering from twenty different countries, in one of world free spectacle in
Rouen (capital city of Upper Normandy in France), which is attracting 8 million visitors addition
to Rouen citizens (estimated to 460,000 in 2008). This case study is observing the fifth edition of
the Armada event during 4th
- 15th
July 2008. However, its miscellaneous activities are starting
from 10:00 to 20:00 every day. The last day of this event coincides 14th
July (French national
day) [21, 6]. The available data of Armada case study composed of 51,958,652 CDRs for
615,712 subscribers during 288 hours with lack of 15 hours, so the actual observed data of 273
hours. Armada event days are classified in two categories (days out of Armada 4th
and 15th
of
July, and days within Armada 5th
- 14th
of July). During Armada period there are 5 days are off
days, which are weekends and vacation, fall of (5, 6, 12, 13, and 14) of July, and other days (4, 7,
8, 9, 10, 11, and 15) of July which are work days. The Armada mobile phone database is
composed of CDRs that contain: mobile IDs (alias), towers IDs and positions which are geo-
referenced by 2D-coordinates (x, y), number of cells on each tower and Cells IDs, mobile
activity types (call in/out, SMS in/out, mobile hand over, abnormal call halt, normal call end),
and the date and time of the mobile phone activity recorded.
However, this kind of data is representing individuals occurrence in discrete (irrelevant) mode
only, means that any mobile individual activity is recorded at (start/end) time, but there is lost
information which is supposed to indicate the user's occurrence during inactive case (no data
meanwhile the mobile phone is idle i.e. inactive or doesn't make any communication activities
neither calls nor SMS activities). As well as, the available spatial data is only the towers (X, Y)
coordinates. So, they would be considered to estimate individual transitions from position to
another (from tower to tower), where each two consecutive activities between two towers could
be considered as the displacement (mobility from coverage region to another), it is the main
point to capture the transition from one location to another [25, 4]. These positions would be
estimated approximately with regard to tower coverage (signal strength).
Seeing as these data have non-deterministic and discrete nature, therefore the collective mode
would be the effective approach to be analyzed and simulated. As well as, since each individual
could be disappeared for a while from the DB records which makes individual tracing is
unworthy, and without significant indications on the individuals' mobility in the city.
Nevertheless, this kind of analysis has two limitations, first one is the information given by
mobile phone traces are incomplete to describe all individuals mobility. Actually, because many
individuals moving in the city without using a mobile phone. However, the intensity of mobile
phone usage nowadays helps to capture mobility analysis in an acceptable approximation.
Second one is the mobile phone traces are only caught by a tower that is located at some specific
places in the city, so the positions also would be estimated approximately. Consequentially, it is
supposed to interpolate individual positions and reconstruct his trajectories from the traces to
simulate his mobility (human mobility). The manipulation of these data requires several phases
4. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
34
to get required analysis results and obtain precise expected knowledge about individuals
densities and mobility [25, 26, 27, 2, 20, 12, 28].
Human mobility studies are benefiting from mobile phone data with concentration on the regions
of higher mobile phone network coverage, these regions are characterized as (mature, stable,
most developed). Under an assumption of that each mobile represents an individual, in other
words his occurrence and mobility. As a consequence, individuals densities and mobility could
be explored for the observed event.
3. DATA ANALYSIS AND VISUALIZATION
The GIS influences several scientific fields (urban planning, traffic management, sustainable
infrastructure establishment, tourism… etc.). So, the combination of social sensor data with data
mining techniques, and GIS could give deep total perception to urban dynamics towards socio-
technical conceptualization for the city by elaborating the implicit daily patterns [29, 30, 10, 33,
34, 35, 5, 36, 37, 38, 11].
Specific platform has been developed to integrate and analyze the initial raw database; PHP
server and SQL query language are used. Data visualization is accomplished using graphs,
representing regions densities corresponding to human activities. The combination of these tools
allows lining up the spatio-temporal data (CDRs) on the city map. ArcGIS platform is used for
geographic representation, and to extract the aggregated data of five classified sectors, which are
corresponding to the observed spatial sub-areas. The geographic region dividing considers sub-
area of Armada activities as the central region and other sub-areas are its surroundings from four
directions (north, south, east, and west). In order to summarize the spatial patterns, hence the
study area is divided into adjacent sub-areas [38], this is done by using Voronoi polygons like in
[39], where each polygon is associated with a tower and depicts the area under the main
influence of this tower. Each Voronoi cell centering the tower coverage area, it corresponds all
closest possible locations of individual detected in this coverage area. Each group of adjacent
Voronoi polygons is formulating one of the five sub-areas. However, the center sector is located
around Seine river banks where Armada event held, the eastern sector is located to the east of the
center sector, the western sector is located to the west of the center sector, the northern sector is
located to the north of center sector, and the southern sector is located to the south of the center
sector. The overall perspective of the 30x30 Km observed region activities could be elaborated
according to the daily intervals. As in figure 1, where the produced five sub-areas are presented
[6].
The basic concept of this phase deals with analyzing and representation of individuals
concentration in the observed region, according to (sub-areas during observed days, and sub-
areas during observed hours). However, daily activity ratios of the 5 sectors are analyzed
according to daily hours, and as obvious in figure 2.a. All sectors have similar patterns, but in
varying ratios. The sectors could be ordered in descending order (center, south, north, west, and
east). Whereas, highest activity ratios for all sectors are located in time intervals (00:00, 06:00-
20:00), otherwise the activity ratios are descending over time intervals (01:00-06:00) and (21:00-
23:00). The lowest activity ratios for all sectors are falling in time intervals (02:00-06:00), 15:00,
and 23:00). All sectors have peak values in common 12:00 and 18:00 which are lunch hour, and
end work hours respectively, where the social activities are in highest rank.
5. Informatics Engineering, an International Journal (
Figure 1: Densities analysis in macroscopic perspective: a. The five sub
and are built by grouping Voronoi cells. The black anchors represent places along the Seine river
where held activities during Armada [6].
a.
Fig. 2: Activity patterns according to
average over the days period of Armada [6],
The most active sectors are the (center and south) along the observed period. There is high
difference in activity ratios among sectors, so it could be ranked in descending order (center,
south) as the most active sectors followed by (north, west, and sout
well as, in figure 2.b the analysis of daily activity ratios for the 5 sectors along the12 days.
Where all sectors have highly activity ratios in the day
event, hence the influence of all a
ratios in the days (6, 12, and 13), which they are off days. That means the citizens are in their
lowest activities during off days. All sectors have their high activity ratios in the day i
11) which they are work days. The anomalous event is appeared in day 1
are in their lowest activity ratios except the west sector where its activity ratios mark peak
values. This could be interpreted as France National
may be held in this sector during this
aggregated individuals (densities) in aggregated geographic locations. Where each mobile phone
could represent an individual, and each group of adjacent Voronoi polygons represents one
geographic sub-area, that are formulated the total observed region.
Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
Figure 1: Densities analysis in macroscopic perspective: a. The five sub-areas appear in 5 colored zones,
and are built by grouping Voronoi cells. The black anchors represent places along the Seine river
b.
days and hours: a: Daily analysis of the 5 sectors along 24 hours with
the days period of Armada [6], b: Daily analysis of the 5 sectors along 12 days.
The most active sectors are the (center and south) along the observed period. There is high
difference in activity ratios among sectors, so it could be ranked in descending order (center,
south) as the most active sectors followed by (north, west, and south) sectors respectively. As
the analysis of daily activity ratios for the 5 sectors along the12 days.
Where all sectors have highly activity ratios in the day 4th
July, since it is former to Armada
event, hence the influence of all arrangements is clear. All sectors are decreasing in their activity
ratios in the days (6, 12, and 13), which they are off days. That means the citizens are in their
lowest activities during off days. All sectors have their high activity ratios in the day i
11) which they are work days. The anomalous event is appeared in day 14th
where all the sectors
are in their lowest activity ratios except the west sector where its activity ratios mark peak
values. This could be interpreted as France National Day influences this sector, the ceremonial
may be held in this sector during this day [6]. This phase considers the phones activities as
aggregated individuals (densities) in aggregated geographic locations. Where each mobile phone
idual, and each group of adjacent Voronoi polygons represents one
area, that are formulated the total observed region.
35
areas appear in 5 colored zones,
and are built by grouping Voronoi cells. The black anchors represent places along the Seine river platforms
: a: Daily analysis of the 5 sectors along 24 hours with
The most active sectors are the (center and south) along the observed period. There is high
difference in activity ratios among sectors, so it could be ranked in descending order (center,
h) sectors respectively. As
the analysis of daily activity ratios for the 5 sectors along the12 days.
July, since it is former to Armada
rrangements is clear. All sectors are decreasing in their activity
ratios in the days (6, 12, and 13), which they are off days. That means the citizens are in their
lowest activities during off days. All sectors have their high activity ratios in the day intervals (7-
where all the sectors
are in their lowest activity ratios except the west sector where its activity ratios mark peak
Day influences this sector, the ceremonial
This phase considers the phones activities as
aggregated individuals (densities) in aggregated geographic locations. Where each mobile phone
idual, and each group of adjacent Voronoi polygons represents one
6. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
36
4. DESCRIBING INDIVIDUALS' ACTIVITIES
The simulation process reflects the characteristics and behavior of any system. The word
(simulation) is used in several fields it includes the modeling of natural sentences or human
organs as an attempt to explore the details of this process. However, in this phase there is an
attempt to model and simulate the general pattern law for the collective data, and then they are
investigated in more detail by classifying them into work and off days. The mobile phone data
are very heterogeneous nature, since the users could be very active having many calls/SMSs, or
inactive having little usage of the network, so sampling the users would be depending on their
activities number [55]. Since, the individuals are varied in their usage of mobile phone, which
they are ranged between (rarely-frequently) usages during observed period. Therefore, the
individuals are grouped according to their total activities. However, the probability distribution
of waiting time (inter-event time ∆T) has been computed for each consecutive activity and for
each individual. In order to formulate simplified models with their quantitative analysis
parameters, thus the probability function should be computed to obtain the general system
pattern, which is done according to consecutive inter-event time parameter. The probability
distribution of individuals activities are made by [40, 41, 42, 43, 44, 50]:
1. Compute probability function to get the system universal behavior (pattern), according to
consecutive inter-event time.
2. Compute the probability density function to get each agent sample probability [48, 43].
The individuals are grouped with regard to their activities, as in figure 3.a, which it explores the
long waiting times are characterizes the individuals of less activities. The waiting time
distribution is also computed for the work days as in figure 3.b, and then it is computed for the
off days as in figure3.c. However, the distribution of the inert-event time ∆T is estimated by
equation (2):
ܲሺ∆ܶሻ = ሺ∆ܶሻ݁ݔିሺ∆்ሻ
… … ሺ2ሻ
4.1. Fixed Inter-Event Time Observations
The modeling and simulation process starts by computing probability model, which is modeled
the data and simulated the responses of the model by using one of the well-known functions
probability density function PDF [50, 51].
The main parameters in this study are ∆t, mean of ∆t, and ݎ. The samples means of the
distributions are drawn from an exponential distribution. Then, compute the mean of all means.
However, understand the behavior of sample means from the exponential distribution in order to
have the universal system pattern (general population law). The computations are done
sequentially by manipulating all 12 days data (each day independently) for total individuals in
spatio-temporal manner, and then eliminate the individuals of the only one occurrence in the
CDRs, since they didn't have a significant indication on mobility. As well as, sorting the data by
time in order to have the real sequence of positions transitions of individuals trajectories, and
classify the data according to individuals' activities (sampling), by computing ∆t (inter-event
time/ waiting time), where it is the time elapsed between each successive activities of each
individual. It ranges between 15-1440 minutes, this sampling is done according to logical
intuition, since 15 minutes is the minimum time that can give mobility indication, and the 1440
(24 hours) could be considered as highest elapsed time to travel in the city, then compute ∆ܶ
(average inter-event time) of all individuals, so classify (min, max) samples according to
activities score (activities densities). Thereafter, sort the samples of activities according to inter-
event time, and then compute the inter-event time of all individuals ∆t and ∆ܶfor each sample,
7. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
37
Fig. 3: Waiting time distribution in mesoscopic perspective: a: Waiting time distribution ሺ∆ ܶሻ of mobile
phone activities, where ∆ܶ is the spent time between each two successive activities, legend symbols are
used to distinguish the unique days and the curve of their mean (DayAve)for the total population during the
total period [78], b: Work days waiting time distribution p(∆t) of mobile phone activities, legend symbols
are used to distinguish the unique days and the curve of their mean (Daymoy) for the total population
during the total period, c: Off days waiting time distribution p(∆t) of mobile phone activities, legend
symbols are used to distinguish the unique days and the curve of their mean (Daymoy) for the total
population during the total period.
where (∆t / ∆ܶሻ is the average inter-event time of the total individuals (population) as ∆ܶ =
1431 ݉݅݊,ݏ݁ݐݑ then compute exponential distribution probability for the total data. Accordingly,
identify the general pattern law of the population.
Exponential distribution (probability distribution) is capable of modeling the events happened
randomly over time. In this case, it is able to describe the inter-event time and the average of
inter-event time [47, 54, 51, 53] of individuals' activities with PDF (Probability Density
Function) as in equation (3). However, the cutoff distribution is determined by the maximum
observed inter-event time at which the individual can wait to make any mobile activities, where
it is ∆t = 1431 ݉݅݊.ݏ݁ݐݑ The developed algorithm to compute probability distributions of
activities and displacements by inter-Event Times has ܱሺ݊ଷ
+ 2݊ଶ
+ ݊ሻ complexity, and it is
implemented with Matlab2015 platform.
݂ሺߤ|ݔሻ =
1
ߤ
݁
ି௫
ఓ … … ሺ3ሻ
8. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
38
As well as, the displacement statistics ሺ∆ ݎሻ has been computed for the total individuals
(population) during the observed period. As in figure 4.a the displacements distribution is
computed. Also, it is computed for work days as in figure 4.b, and computed for off days as in
figure 4.c. However, the ∆r is the covered distance between each two successive activities during
time ∆t, where it is in the range 20 − 1440 ݉݅݊, ݏ݁ݐݑ the investigated distance would be limited
by the maximum distance that could be traveled by individuals in the ∆ܶ . Hence, the cutoff
distribution is determined by the maximum observed distance at which the individual can travel,
where it is ∆ݎ = 7.23e + 04 m along day hours, since the maximum time slice couldn't exceed
24 ℎݏݎݑ with regards to observed region. The consequence is the ሺ∆ ݎሻ distributions for
different ∆ ݐ follows truncated power law, as in equation (4).
ܲሺ∆ݎሻ = ሺ∆ݎሻ݁ݔିሺ∆ሻ
… … ሺ4ሻ
The distribution of ݎ uncovers the population heterogeneity, where individuals traveled in P(ݎ)
in (long/short) distances regularly within ݎ(t) as formulated in equation (5). which refers to the
center of mass of the individual trajectory.
ݎ
= ඩ
1
݊
ሺݐሻ
ሺ
ೌሱሮ −
ೌ
ሱሮሻଶ
ೌ
ୀଵ
… … ሺ5ሻ
Where
ೌ
ሱሮ refers to i=1... ݊
ሺݐሻ positions recorded for individual a, and
ೌ
ሱሮ =
ଵ
ೌሺ௧ሻ
∑
ೌ
ሱሮ
ೌ
ୀଵ
,
The distribution P(ݎ) produces power law investigated in the aggregated traveled distance
(displacements) distribution P(ݎ) as in equation (6).
൫ݎ൯ = ൫ݎ൯݁ݔି൫൯
… … ሺ6ሻ
The developed algorithm to compute radius of gyration distribution has ܱሺ݊ଶ
+ 4݊ሻ complexity,
and it is implemented with Matlab2015 platform. Whereas, the ൫ݎ൯ is computed for total
population along observed period, in order to classify the ݎ evolution along the time series, as
figure 5.a shows the ݎ௦
variance along time, they are approximately similar in their patterns,
also the highest ݎ௦
are the small once ranged ሺ5 − 20ሻ, while the range ሺ25 − 30ሻ are the
lowest once to indicate that individuals who have the tendency to mobile in small ݎ௦
and in
stable patterns along observed period. As well as, the distribution of ݎ௦
along time is computed
for the data of work days and for off days as in figures 5.b, 5.c respectively.
4.2. Trajectories in Intrinsic Reference Frame
The significant importance of revealing human trajectories enforces the tendency to build the
statistical models. Human trajectories have random statistical patterns; hence tracing human
daily activities is the most challengeable issue, in addition to its importance, which is mentioned
earlier as urban planning, spread epidemics... etc. In spite of data sources variance (billing
system, GSM, GPS), but the common characteristics are the aggregated jump size (∆,)ݎ and
waiting time (∆)ݐ distributions. Where, (∆)ݎ gives an indication on the covered distances by an
individual in (∆)ݐ for each two consecutive activities, and the (∆)ݐ is the time spent by the
9. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
39
Fig. 4: Displacements distribution in mesoscopic perspective: a: Displacements distribution ሺ∆ݎሻ for
waiting times ሺ∆ݐሻ, cutoff distribution is determined by the maximum distance traveled by individuals for
specific inter-event-times, each day has its own curve and the curve of days mean is (DayAve) [77], b:
Work days displacements distribution p(∆r) for waiting times (∆t), cutoff distribution is determined by the
maximum distance traveled by individuals for specific inter-event-times, each day has its own curve and
the curve of days mean is (Daymoy), c: Off days displacements distribution p(∆r) for waiting times (∆t),
cutoff distribution is determined by the maximum distance traveled by individuals for specific inter-event-
times, each day has its own curve and the curve of days mean is (Daymoy).
individual between each two consecutive activities [53]. The individual's trajectory considered as
the microscopic level of mobility abstraction, which is constituted of sequenced coordinates
positions along the time, i.e. the agent displacement in spatio-temporal unit. Therefore, the
consecutive phone activities are good proxies to compute individuals travel distances
(displacements) [30, 53, 54, 57, 35]. These distributions are overlapped for groups, however the
radius of gyration (ݎ) is considered to be a more dedicated feature that capable of characterizing
the travel distances (∆r) of individuals. The distributions showed that the (∆r) of individuals are
almost identical, where the periodic trajectories are invariant. As well as, the activities
distributions are uncovered the similarities of regular patterns, during the time evolution of
radius of gyration (ݎ). The experiments revealed the possibility of classifying individuals
activities into some patterns samples. As well as, almost individuals have similar activities
patterns, and these activities in general could be varied depending on the days either working or
off days.
5. INDIVIDUAL TRAJECTORY CHARACTERISTICS
The individuals activities sparseness causes incomplete spatial information, therefore the mobile
individual has some general physical characteristics, which are useful to compensate the lack of
data (when no activity recorded), and that could be used to build a mathematical model of human
mobility patterns. In order to reconstruct the individual trajectory even if there is no mobile
10. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
40
activity (no data), so the most common mobility characteristics are used. They are as follows [55,
56, 57, 58, 32, 61, 24, 59]:
1. Center of mass: It’s the most visited positions by individual ܿ, as in equations (7-8)
respectively:
ݔ = ݔ ݊⁄ … … (7)
ୀଵ
ݕ = ݕ ݊⁄ … … (8)
ୀଵ
Fig. 5: Radius of gyration distribution in mesoscopic perspective: a: ܴ Distribution based on time series
during observed period, b: Rg distribution based on time series during work days period, c: Rg distribution
based on time series with loglog during off days period.
Where ݔ and ݕ are the coordinates of the spatial positions, ݊ is the number of spatial positions,
that are recorded in the CDRs.
2. Radius of Gyration: It is the average of all individual's positions, which is the indication
of the area visited by the individual (traveled distance during the time ) as in equation (5)
3. Most frequent positions to uncover the individual tendency, according to visited
locations.
4. Principal axes ߠ (moment of inertia): This technique makes it possible to study some
individuals trajectories in a common reference frame, by diagonalizing each of trajectory
11. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
41
inertia tensor, hence to compare their different trajectories. Moment of inertia to any
object is obtained from the average spread of the mass of an object from a given axis.
This could be elaborated using two dimensional matrix called tensor of inertia. Then, by
using standard physical formula, the inertia tensor of individual's trajectories could be
obtained, as in the equations (9-14) respectively:
ܫ = ൬
ܫ௫௫ ݕݔܫ
ݔݕܫ ݕݕܫ
൰ … ... (9)
ܫ௫௫ = ∑ ݕ
ଶ
ୀଵ … ... (10)
ܫ௬௬ = ∑ ݔ
ଶ
ୀଵ … … (11)
ܫ௫௬ = ܫ௬௫ = − ∑ ݔݕ
ୀଵ … … (12)
µ = ට4ܫ௫௬ ܫ௬௫ + ܫ௫௫
ଶ − 2ܫ௫௫ܫ௬௬ + ܫ௬௬
ଶ … …. (13)
Obtaining the following equation (19):
cos ߠ = − ܫ௫௬ (1 2ܫ௫௫⁄ − 1 2ܫ௬௬ + 1 2⁄⁄ µ)ିଵ ଵ
ඨଵା
ೣ
మ
(భ మೣೣ⁄ షభ మశభ
మൗ ഋ⁄ )మ
… … (14)
Rotation by θ produced a conditional rotation of 180° as the most frequent position lays in ݔ >
0.
5. Standard Deviation: To verify the horizontal and vertical coordinates of individual
mobility in the intrinsic reference frame. However, trajectories are scaled on intrinsic
axes using standard deviation of the locations for each individual a, as in equations (15-
16) respectively.
ߪ௫
= ට
ଵ
ೌ ∑ ሺݔ
− ݔ
ሻଶ
ೌ
ୀଵ
…… (15)
ߪ௬
= ට
ଵ
ೌ ∑ ሺݕ
− ݕ
ሻଶ
ೌ
ୀଵ
…… (16)
Then, obtain the universal density function using the following equation (18):
ɸ̃ = ሺݔ ߪ௫⁄ , ݕ ߪ௬⁄ ሻ ...... (18)
By using the spatial density function to aggregate the individuals with the common ݎೞ
. Then,
individuals had been chosen from different classified groups with regard to their radius of
gyration, the trajectories would be rescaled for a group of individuals according to the mobility
characteristics mentioned above. The potential trajectory of the individual has been made to
visualize and analyze the mobility of 3 individuals during observed period. However, the
individuals had been chosen, according to their pertinence of ݎ, where each one is elected
randomly from the unique ݎ sample, then the potential trajectories of the individuals (
݈݅݊݀݅ܽݑ݀݅ݒଵ, individual, ݈݅݊݀݅ܽݑ݀݅ݒଷ) are chosen from ܴమ
, ܴవ
, ܴభఱ
respectively, then
computed and simulated in off days as in figure 6 and in work days as in and figure 7
respectively.
12. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
42
Fig. 8: Estimated individuals' trajectories within intrinsic reference frame in microscopic perspective
during off days with red circle refers to most frequent position: a: Individual trajectory chosen from ܴమ
, b:
individual scaled trajectory chosen from ܴమ
, c: Individual trajectory chosen from ܴవ
, d: Individual scaled
trajectory chosen from ܴవ
, e: Individual trajectory chosen from ܴభఱ
, f: Individual scaled trajectory
chosen from ܴభఱ
.
13. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
43
Fig. 9: Estimated individuals' trajectories within intrinsic reference frame in microscopic perspective
during work days with red circle refers to most frequent position: a: Individual trajectory chosen from ܴమ
,
b: individual scaled trajectory chosen from ܴమ
, c: Individual trajectory chosen from ܴవ
, d: Individual
scaled trajectory chosen from ܴవ
, e: Individual trajectory chosen from ܴభఱ
, f: Individual scaled trajectory
chosen from ܴభఱ
.
6. Conclusions
This research aimed to understand human mobility using the CDRs. The investigation endorsed
that mobile phone activities can reflects individuals density, also could act as a feature of
grouping the total number of mobile network users, hence each group will have its own feature.
Individuals density and dense variance between the sub-areas could be estimated in order to
explore the tendency or the orientation of individuals in these areas, but almost in a static
manner.
As well as, it is concluded that the most common parameters of modeling human mobility (inter-
event time ∆t, travel distance (displacement) ∆r and radius of gyration ݎ) are represented by the
power-law distribution. These parameters can reveal mobility patterns of the evolved population.
This study confirmed that radius of gyration (ݎ) is the most common quantity, which is
associated with human mobility trajectories, due to its capability in measuring the how far the
14. Informatics Engineering, an International Journal (IEIJ), Vol.4, No.2, June 2016
44
mass from the center of mass. However, in this case study it is gradually increased at the
beginning, but it settles down versus time. It has a key effect on the travel distance (∆r)
distributions.
It is recommended that further research be undertaken in the following areas: Perform more
mobility analysis for extracting new human mobility parameters to make a more detailed
description for individuals behavior. Use more comprehensive statistical methods to construct
human models for the society via CDRs. Analyze more CDRs data for the same region, but in
time periods other than Armada period, so the comparison between the two cases can be more
useful to describe the Armada impact on the city.
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