Call for Papers - 2nd International Conference on Big Data (CBDA 2021)

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2nd International Conference on Big Data (CBDA 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data.

Call for Papers - 2nd International Conference on Big Data (CBDA 2021)

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With the increasing number of services in the internet, companies’ intranets, and home networks: service discovery becomes an integral part of modern networked system. This paper provides a comprehensive survey of major solutions for service discovery. We cover techniques and features used in existing systems. Although a few survey articles have been published on this object, our contribution focuses on comparing and analyzing surveyed solutions according eight prime criteria, which we have defined before. This comparison will be helpful to determine limits of existing discovery protocols and identify future research opportunities in service discovery.

SERVICE DISCOVERY – A SURVEY AND COMPARISON

SERVICE DISCOVERY – A SURVEY AND COMPARISON

SERVICE DISCOVERY – A SURVEY AND COMPARISON

Opportunistic Networks are able to exploit social behavior to create connectivity opportunities. This paradigm uses pair-wise contacts for routing messages between nodes. In this context we investigated if the “six degrees of separation” conjecture of small-world networks can be used as a basis to route messages in Opportunistic Networks. We propose a simple approach for routing that outperforms some popular protocols in simulations that are carried out with real world traces using ONE simulator. We conclude that static graph models are not suitable for underlay routing approaches in highly dynamic networks like Opportunistic Networks without taking account of temporal factors such as time, duration and frequency of previous encounters.

SIX DEGREES OF SEPARATION TO IMPROVE ROUTING IN OPPORTUNISTIC NETWORKS

SIX DEGREES OF SEPARATION TO IMPROVE ROUTING IN OPPORTUNISTIC NETWORKS

SIX DEGREES OF SEPARATION TO IMPROVE ROUTING IN OPPORTUNISTIC NETWORKS

International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

International Journal of Ubiquitous Computing (IJU)

International Journal of Ubiquitous Computing (IJU)

International Journal of Ubiquitous Computing (IJU)

The aging population and the consequent increase in the incidence of dementias is causing many challenges to health systems, mainly related to infrastructure, low services quality and high costs. One solution is to provide the care at house of the patient, through of home care services. However, it is not a trivial task, since a patient with dementia requires constant care and monitoring from a caregiver, who suffers physical and emotional overload. In this context, this work presents an modelling for development of pervasive systems aimed at helping the care of these patients in order to lessen the burden of the caregiver while the patient continue to receive the necessary care.

PERVASIVE COMPUTING APPLIED TO THE CARE OF PATIENTS WITH DEMENTIA IN HOMECARE...

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as the people are being dependent on internet the requirement of user view analysis is increasing exponentially. Customer posts their experience and opinion about the product policy and services. But, because of the massive volume of reviews, customers can’t read all reviews. In order to solve this problem, a lot of research is being carried out in Opinion Mining. In order to solve this problem, a lot of research is being carried out in Opinion Mining. Through the Opinion Mining, we can know about contents of whole product reviews, Blogs are websites that allow one or more individuals to write about things they want to share with other The valuable data contained in posts from a large number of users across geographic, demographic and cultural boundaries provide a rich data source not only for commercial exploitation but also for psychological & sociopolitical research. This paper tries to demonstrate the plausibility of the idea through our clustering and classifying opinion mining experiment on analysis of blog posts on recent product policy and services reviews. We are proposing a Nobel approach for analyzing the Review for the customer opinion

A proposed Novel Approach for Sentiment Analysis and Opinion Mining

A proposed Novel Approach for Sentiment Analysis and Opinion Mining

A proposed Novel Approach for Sentiment Analysis and Opinion Mining

International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

International Journal of Ubiquitous Computing (IJU)

International Journal of Ubiquitous Computing (IJU)

International Journal of Ubiquitous Computing (IJU)

Usability engineering and usability testing are concepts that continue to evolve. Interesting research studies and new ideas come up every now and then. This paper tests the hypothesis of using an EDA-based physiological measurements as a usability testing tool by considering three measures; which are observers‟ opinions, self-reported data and EDA-based physiological sensor data. These data were analyzed comparatively and statistically. It concludes by discussing the findings that has been obtained from those subjective and objective measures, which partially supports the hypothesis.

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Ubiquitous Computing uses mobile phones or tiny devices for application development with sensors embedded in mobile phones. The information generated by these devices is a big task in collection and storage. For further, the data transmission to the intended destination is delay tolerant. In this paper, we made an attempt to propose a new security algorithm for providing security to Pervasive Computing Environment (PCE) system using Public-key Encryption (PKE) algorithm, Biometric Security (BS) algorithm and Visual Cryptography Scheme (VCS) algorithm. In the proposed PCE monitoring system it automates various home appliances using VCS and also provides security against intrusion using Zigbee IEEE 802.15.4 based Sensor Network, GSM and Wi-Fi networks are embedded through a standard Home gateway.

SECURED SMART SYSTEM DESING IN PERVASIVE COMPUTING ENVIRONMENT USING VCS

SECURED SMART SYSTEM DESING IN PERVASIVE COMPUTING ENVIRONMENT USING VCS

SECURED SMART SYSTEM DESING IN PERVASIVE COMPUTING ENVIRONMENT USING VCS

Routing protocols have an important role in any Mobile Ad Hoc Network (MANET). Researchers have elaborated several routing protocols that possess different performance levels. In this paper we give a performance evaluation of AODV, DSR, DSDV, OLSR and DYMO routing protocols in Mobile Ad Hoc Networks (MANETS) to determine the best in different scenarios. We analyse these MANET routing protocols by using NS-2 simulator. We specify how the Number of Nodes parameter influences their performance. In this study, performance is calculated in terms of Packet Delivery Ratio, Average End to End Delay, Normalised Routing Load and Average Throughput.

PERFORMANCE COMPARISON OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKS

PERFORMANCE COMPARISON OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKS

PERFORMANCE COMPARISON OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKS

Optical Character Recognition (OCR) is a technique, used to convert scanned image into editable text format. Many different types of Optical Character Recognition (OCR) tools are commercially available today; it is a useful and popular method for different types of applications. OCR can predict the accurate result depends on text pre-processing and segmentation algorithms. Image quality is one of the most important factors that improve quality of recognition in performing OCR tools. Images can be processed independently (.png, .jpg, and .gif files) or in multi-page PDF documents (.pdf). The primary objective of this work is to provide the overview of various Optical Character Recognition (OCR) tools and analyses of their performance by applying the two factors of OCR tool performance i.e. accuracy and error rate.

PERFORMANCE COMPARISON OF OCR TOOLS

PERFORMANCE COMPARISON OF OCR TOOLS

PERFORMANCE COMPARISON OF OCR TOOLS

Optical Character Recognition (OCR) is a technique, used to convert scanned image into editable text format. Many different types of Optical Character Recognition (OCR) tools are commercially available today; it is a useful and popular method for different types of applications. OCR can predict the accurate result depends on text pre-processing and segmentation algorithms. Image quality is one of the most important factors that improve quality of recognition in performing OCR tools. Images can be processed independently (.png, .jpg, and .gif files) or in multi-page PDF documents (.pdf). The primary objective of this work is to provide the overview of various Optical Character Recognition (OCR) tools and analyses of their performance by applying the two factors of OCR tool performance i.e. accuracy and error rate.

PERFORMANCE COMPARISON OF OCR TOOLS

PERFORMANCE COMPARISON OF OCR TOOLS

PERFORMANCE COMPARISON OF OCR TOOLS

In multi-radio wireless mesh networks, one node is eligible to transmit packets over multiple channels to different destination nodes simultaneously. This feature of multi-radio wireless mesh network makes high throughput for the network and increase the chance for multi path routing. This is because the multiple channel availability for transmission decreases the probability of the most elegant problem called as interference problem which is either of interflow and intraflow type. For avoiding the problem like interference and maintaining the constant network performance or increasing the performance the WMN need to consider the packet aggregation and packet forwarding. Packet aggregation is process of collecting several packets ready for transmission and sending them to the intended recipient through the channel, while the packet forwarding holds the hop-by-hop routing. But choosing the correct path among different available multiple paths is most the important factor in the both case for a routing algorithm. Hence the most challenging factor is to determine a forwarding strategy which will provide the schedule for each node for transmission within the channel. In this research work we have tried to implement two forwarding strategies for the multi path multi radio WMN as the approximate solution for the above said problem. We have implemented Global State Routing (GSR) which will consider the packet forwarding concept and Aggregation Aware Layer 2 Routing (AAL2R) which considers the both concept i.e. both packet forwarding and packet aggregation. After the successful implementation the network performance has been measured by means of simulation study.

DETERMINING THE NETWORK THROUGHPUT AND FLOW RATE USING GSR AND AAL2R

DETERMINING THE NETWORK THROUGHPUT AND FLOW RATE USING GSR AND AAL2R

DETERMINING THE NETWORK THROUGHPUT AND FLOW RATE USING GSR AND AAL2R

Cloud computing affords huge potential for dynamism, flexibility and cost-effective IT operations. Cloud computing requires many tasks to be executed by the provided resources to achieve good performance, shortest response time and high utilization of resources. To achieve these challenges there is a need to develop a new energy aware scheduling algorithm that outperform appropriate allocation map of task to optimize energy consumption. This study accomplished with all the existing techniques mainly focus on reducing energy consumption

A SURVEY: TO HARNESS AN EFFICIENT ENERGY IN CLOUD COMPUTING

A SURVEY: TO HARNESS AN EFFICIENT ENERGY IN CLOUD COMPUTING

A SURVEY: TO HARNESS AN EFFICIENT ENERGY IN CLOUD COMPUTING

Context-aware ubiquitous learning combines context-awareness with wireless and mobile technologies to observe the situation of students in the real world and provides personalized guidance accordingly. Student Model creates student's history logs automatically and maintains history of subject content requested. It also offers information on student's hardware capabilities, students preferences, knowledge level and student status. This information can be utilized to respond to new student's request from previous similar request. A Ubiquitous student model aims to identify student’s needs, characteristics and situations. In this paper, we have proposed a method of designing student model, that provides personalized subject content adaptation.

A METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENT

A METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENT

A METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENT

2 nd International Conference on Artificial Intelligence Advances (AIAD 2023) 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 multidisciplinary and its applications will be covered during the conferences.

2 nd International Conference on Artificial Intelligence Advances (AIAD 2023)

2 nd International Conference on Artificial Intelligence Advances (AIAD 2023)

2 nd International Conference on Artificial Intelligence Advances (AIAD 2023)

International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Call For Papers - International Journal of Ubiquitous Computing (IJU)

Call For Papers - International Journal of Ubiquitous Computing (IJU)

Call For Papers - International Journal of Ubiquitous Computing (IJU)

This paper describes two-fold approach towards utilizing Triple Modular Redundancy (TMR) in Wireless Adhoc Network (AdocNet). A distributed checkpointing and recovery protocol is proposed. The protocol eliminates useless checkpoints and helps in selecting only dependent processes in the concerned checkpointing interval, to recover. A process starts recovery from its last checkpoint only if it finds that it is dependent (directly or indirectly) on the faulty process. The recovery protocol also prevents the occurrence of missing or orphan messages. In AdocNet, a set of three nodes (connected to each other) is considered to form a TMR set, being designated as main, primary and secondary. A main node in one set may serve as primary or secondary in another. Computation is not triplicated, but checkpoint by main is duplicated in its primary so that primary can continue if main fails. Checkpoint by primary is then duplicated in secondary if primary fails too.

CHECKPOINTING WITH MINIMAL RECOVERY IN ADHOCNET BASED TMR

CHECKPOINTING WITH MINIMAL RECOVERY IN ADHOCNET BASED TMR

CHECKPOINTING WITH MINIMAL RECOVERY IN ADHOCNET BASED TMR

Wireless sensor network consists of application oriented and cheap micro-devices called sensors nodes having potential of connecting the physical world with virtual world by their sensing abilities. These sensor nodes are having restrained battery sources. Efficient energy management is current area of research in wireless sensor networks. Here we advice one such energy aware multi-hop protocol (G-DEEC) for two level heterogeneous networks. In G-DEEC, the Base Station is placed out of sensing area and rechargeable gateway nodes are placed inside field with other randomly deployed sensor nodes. Simulation shows the proposed protocol G-DEEC is better than single-hop DEEC in terms of number of half dead nodes, alive nodes and dead nodes; thereby showing improvement in network lifetime and stability.

Gateway Based Multi-Hop Distributed Energy Efficient Clustering Protocol for ...

Gateway Based Multi-Hop Distributed Energy Efficient Clustering Protocol for ...

Gateway Based Multi-Hop Distributed Energy Efficient Clustering Protocol for ...

The widespread application of wireless sensor networks (WNSs) is obstructed by the severely limited energy constraints and security threat for sensor nodes. Since traditional routing and security schemes are not suited for these networks, a large part of research focusses on energy efficient routing protocols while extending the network lifetime. Uneven distribution of communication loads result in network partitioning. Traditional novel en-route filtering approaches, notably commutative cipher based en-route filtering (CCEF) saves energy by early filtering of false reports. However this approach main focus is security not network lifetime is limited by fixed paths and underlying routing not suitable for WSNs. In order to cater these problems we propose energy efficient routing and pre-deterministic key distribution with dynamic path selection in CCEF. Modified CCEF (MCCEF) aims at saving energy and extending network lifetime while maintaining filtering power as in CCEF. Experimental results demonstrate the validity of our approach with an average of three times network lifetime extension, 5.022% energy savings, and similar filtering power as the original scheme.

MODIFIED CCEF FOR ENERGY-EFFICIENCY AND EXTENDED NETWORK LIFETIME IN WSNS

MODIFIED CCEF FOR ENERGY-EFFICIENCY AND EXTENDED NETWORK LIFETIME IN WSNS

MODIFIED CCEF FOR ENERGY-EFFICIENCY AND EXTENDED NETWORK LIFETIME IN WSNS

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 CDRs

Human Mobility Patterns Modelling using CDRs

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2 nd International Conference on Artificial Intelligence Advances (AIAD 2023)

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Call For Papers - International Journal of Ubiquitous Computing (IJU)

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21scheme vtu syllabus of visveraya technological university

Performance enhancement of machine learning algorithm for breast cancer diagn...

Performance enhancement of machine learning algorithm for breast cancer diagn...

Performance enhancement of machine learning algorithm for breast cancer diagn...

ALCOHOL PRODUCTION- Beer Brewing Process.pdf

ALCOHOL PRODUCTION- Beer Brewing Process.pdf

ALCOHOL PRODUCTION- Beer Brewing Process.pdf

8th International Conference on Soft Computing, Mathematics and Control (SMC ...

8th International Conference on Soft Computing, Mathematics and Control (SMC ...

8th International Conference on Soft Computing, Mathematics and Control (SMC ...

Augmented Reality (AR) with Augin Software.pptx

Augmented Reality (AR) with Augin Software.pptx

Augmented Reality (AR) with Augin Software.pptx

Basics of Relay for Engineering Students

Basics of Relay for Engineering Students

Basics of Relay for Engineering Students

Research Methodolgy & Intellectual Property Rights Series 2

Research Methodolgy & Intellectual Property Rights Series 2

Research Methodolgy & Intellectual Property Rights Series 2

electrical installation and maintenance.

electrical installation and maintenance.

electrical installation and maintenance.

Diploma Engineering Drawing Qp-2024 Ece .pdf

Diploma Engineering Drawing Qp-2024 Ece .pdf

Diploma Engineering Drawing Qp-2024 Ece .pdf