With the development of the urbanization, industrialization and populace, there has been a huge development in the rush hour gridlock. With development in the rush hour gridlock, there got a heap of issues with it as well, these issues incorporate congested roads, mishaps and movement govern infringement at the overwhelming activity signals. This thusly adversy affects the economy of the nation and in addition the loss of lives. Thus, Speed control is in the need of great importance because of the expanded rate of mishaps announced in our everyday life. The criminal traffic offense expanded due to over movement on streets. The reason is rapid of vehicles. The speed of the vehicles is past the normal speed confine is called speed infringement. In this paper diverse issues are confronted that are given in issue detailing. Every one of these issues are in future with the assistance of the fortification learning issue and advancement issue the changed neural system is contemplated with NN calculations forward Chaining back spread . Omesh Goyal | Chamkour Singh ""A Review on Traffic Signal Identification"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23557.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23557/a-review-on-traffic-signal-identification/omesh-goyal
Design and Optimization of Supply Chain Network with Nonlinear Log-Space Mode...RSIS International
This proposal intends to address the practical vulnerabilities in the state-of-the-art models for optimal design of supply chain network. While the conventional models attempt to transform the design constraints of the supply chain network into sum of cost functions, the proposed model will transform the cost function into a nonlinear subspace. Moreover, the subspace will be optimized under a logarithmic scale and so the multiple network constraints such as stock transportation, inventory, echelon levels and backorders can be mapped within the subspace. Subsequently, robust optimization algorithms based on biological inspiration will be proposed. The optimization algorithms will be included with adaptiveness and so the nonlinear cost function can be solved effectively. The adaptiveness will be mainly based on the ability of handing every network constraints such as echelon levels, inventory, etc
Applied research. Optimization of the Shuttle ServicesRAMON RIOS
Application of the queuing theory to find out the root causes of the long waiting times in the company X. The verification of the outcome was with promodel simulation software. Networking using the shortest route to optimize even better. Forecasting to predict increasing in the population and get our life cycle. Gantt chart to calculate the total days and to track the gantt chart for any delays.
A review of advanced linear repetitive scheduling methods and techniquesAsadullah Malik
ABSTRACT
Over the past two decades, significant attention has been focused on the development of advanced scheduling methods for repetitive/linear construction projects. Several approaches have been proposed by various research groups in order to solve specific problems in the scheduling of repetitive/linear construction projects such as high-rise buildings, bridges, pipelines, and highways. Some of these approaches represent milestones in the authors’ researches, and others provide a thorough solution implemented in computer software. This paper is a review of several articles related to this topic, which have been published in specialized journals since 1998. The solution methods for repetitive/linear scheduling problems are various, extending from simple graphical techniques to complex computational and optimization methods, such as genetic algorithms. The methods underlying the different solutions can be divided into three groups: exact, heuristic and metaheuristic. This paper presents an introduction into the different repetitive/linear scheduling problems, outlines the optimization methods proposed, classifies the different approach methods utilized and, finally, areas for future research are suggested.
Keywords: linear scheduling, construction management, repetitive units, optimization, genetic algorithms.
Accessibility Analysis and Modeling in Public Transport Networks - A Raster b...Beniamino Murgante
Accessibility Analysis and Modeling in Public Transport Networks - A
Raster based Approach
Morten Fuglsang, - National Environmental Research Institute, Aarhus
University and Aalborg University Copenhagen
Henning Sten Hansen - Aalborg University Copenhagen
Bernd Münier - National Environmental Research Institute, Aarhus University
Public Transport Accessibility Index for Thiruvananthapuram Urban AreaIOSR Journals
Transportation planning is an important part in the development of a region. An effective transport
system and associated urban forms will improve the economic and social opportunities. Accessibility and
mobility are the two main parameters which contribute to the effective transportation system. In this paper, the
accessibility to the public transportation system is identified for the selected study area with the help of an
indexing system. The sub-area in the region was thus graded based on their accessibility and the obtained
values are found to resemble the real world.
Accessibility, indexing system, public transport system, transport planning
Design and Optimization of Supply Chain Network with Nonlinear Log-Space Mode...RSIS International
This proposal intends to address the practical vulnerabilities in the state-of-the-art models for optimal design of supply chain network. While the conventional models attempt to transform the design constraints of the supply chain network into sum of cost functions, the proposed model will transform the cost function into a nonlinear subspace. Moreover, the subspace will be optimized under a logarithmic scale and so the multiple network constraints such as stock transportation, inventory, echelon levels and backorders can be mapped within the subspace. Subsequently, robust optimization algorithms based on biological inspiration will be proposed. The optimization algorithms will be included with adaptiveness and so the nonlinear cost function can be solved effectively. The adaptiveness will be mainly based on the ability of handing every network constraints such as echelon levels, inventory, etc
Applied research. Optimization of the Shuttle ServicesRAMON RIOS
Application of the queuing theory to find out the root causes of the long waiting times in the company X. The verification of the outcome was with promodel simulation software. Networking using the shortest route to optimize even better. Forecasting to predict increasing in the population and get our life cycle. Gantt chart to calculate the total days and to track the gantt chart for any delays.
A review of advanced linear repetitive scheduling methods and techniquesAsadullah Malik
ABSTRACT
Over the past two decades, significant attention has been focused on the development of advanced scheduling methods for repetitive/linear construction projects. Several approaches have been proposed by various research groups in order to solve specific problems in the scheduling of repetitive/linear construction projects such as high-rise buildings, bridges, pipelines, and highways. Some of these approaches represent milestones in the authors’ researches, and others provide a thorough solution implemented in computer software. This paper is a review of several articles related to this topic, which have been published in specialized journals since 1998. The solution methods for repetitive/linear scheduling problems are various, extending from simple graphical techniques to complex computational and optimization methods, such as genetic algorithms. The methods underlying the different solutions can be divided into three groups: exact, heuristic and metaheuristic. This paper presents an introduction into the different repetitive/linear scheduling problems, outlines the optimization methods proposed, classifies the different approach methods utilized and, finally, areas for future research are suggested.
Keywords: linear scheduling, construction management, repetitive units, optimization, genetic algorithms.
Accessibility Analysis and Modeling in Public Transport Networks - A Raster b...Beniamino Murgante
Accessibility Analysis and Modeling in Public Transport Networks - A
Raster based Approach
Morten Fuglsang, - National Environmental Research Institute, Aarhus
University and Aalborg University Copenhagen
Henning Sten Hansen - Aalborg University Copenhagen
Bernd Münier - National Environmental Research Institute, Aarhus University
Public Transport Accessibility Index for Thiruvananthapuram Urban AreaIOSR Journals
Transportation planning is an important part in the development of a region. An effective transport
system and associated urban forms will improve the economic and social opportunities. Accessibility and
mobility are the two main parameters which contribute to the effective transportation system. In this paper, the
accessibility to the public transportation system is identified for the selected study area with the help of an
indexing system. The sub-area in the region was thus graded based on their accessibility and the obtained
values are found to resemble the real world.
Accessibility, indexing system, public transport system, transport planning
This white paper presents a spatial decision support system (SDSS) aimed at generating optimized vehicles routes for multiple vehicles routing problems that involves serving the demand located at nodes of a transportation network. The SDSS incorporates MapPointTM (cartography and network data), a database and a metaheuristic developed generate routes.
A REVIEW ON OPTIMIZATION OF LEAST SQUARES SUPPORT VECTOR MACHINE FOR TIME SER...ijaia
Support Vector Machine has appeared as an active study in machine learning community and extensively
used in various fields including in prediction, pattern recognition and many more. However, the Least
Squares Support Vector Machine which is a variant of Support Vector Machine offers better solution
strategy. In order to utilize the LSSVM capability in data mining task such as prediction, there is a need to
optimize its hyper parameters. This paper presents a review on techniques used to optimize the parameters
based on two main classes; Evolutionary Computation and Cross Validation.
A Review of MCDM in Transportation and Environmental ProjectsBME
The world becomes unstable, especially politically and economically and the problem is getting more complicated every day that needs more and better analytical tools for making decisions and takes part right sides in decision-making to avoid as much as possible new problems that we would have from decisions.
USING THE ANALYTIC HIERARCHY PROCESS AND GIS FOR DECISION MAKING IN RURAL HIG...IAEME Publication
Rural highway route location is a very complex case, requiring significant time and effort from the planners. This study presented the route location method by applying Analytic Hierarchy Process (AHP) and Geographical Information System (GIS). The location of the study is confined to south Mosul city in Iraq of the area (198km2). The researcher is behind defining the route which connects Baghdad-Mosul and Mosul-Kirkuk roadways. This route is considered the suggested turn to Mosul city. A variety of data set from different sources and at different scales are managed.
Exploring Queuing Theory to Minimize Traffic Congestion Problem in Calabar-Hi...Premier Publishers
Traffic congestion has been a serious problem that drivers are facing especially in Calabar – highway by IBB road intersection. In this paper, emphasis is placed on model formation and derivation of some parameters that will help to facilitate the flow of vehicles in this intersection to reduce traffic congestion. The channel considered in this research is multiple queue single servers. We derived variance waiting time of vehicles in the queue and in the system, expected number of vehicles in the queue and in the system waiting for service, expected waiting time of vehicles in the queue and in the system. We also determine the time each vehicle spends in the queue waiting for service and the mean queue length for all the channels in each section. The result shows fair traffic congestion in Calabar – highway by IBB road intersection especially in the morning and evening hours for all the locations.
International Journal of Business and Management Invention (IJBMI)inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
Modelling traffic flows with gravity models and mobile phone large dataUniversity of Salerno
The analysis of origin-destination traffic flows is useful in many contexts of application
as urban planning and tourism economics, and have been commonly studied through the
Gravity Model, which in its simplest formulation states that flows are proportional to masses
of both origin and destination and inversely proportional to distance between them. Using data
from the flow of mobile phone signals among different areas recorded on hourly basis for several
months, in this study we use the Gravity Model to characterize the dynamic of such flows
over the time in the strongly urbanized and flood-prone area of the Mandolossa (western outskirts
of Brescia, northern Italy), with the final aim of predicting the traffic flow during flood
episodes. In order to better account for the dynamic of flows over time, we introduce in the
model a most accurate set of explanatory variables: (i) the density of mobile phone users by
area and time period and (ii) some appropriate temporal effects. Preliminary results show that
the joint use of these two novel sets of explanatory variables allow us to obtain a better linear
fitting of the Gravity Model and a better traffic flow prediction for the flood risk evaluation.
On The Use of Transportation Techniques to Determine the Cost of Transporting...IOSR Journals
This paper aims at identifying an effective and appropriate method of calculating the cost of transporting goods from several supply centers to several demand centers out of many available methods. Transportation algorithms of North-West corner method (NWCM), Least Cost Method (LCM), Vogel’s Approximation Method (VAM) and Optimality Test were carried out to estimate the cost of transporting produced newspaper from production center to ware-houses using Statistical software called TORA. The results revealed that: NWCM = 36,689,050.00, LCM = 55,250,034.00, VAM = 29,097,700.00 and Optimal solution = 19,566,332.00. It was discovered that Vogel’s Approximation method gives the transportation cost that closer to optimal solution. Also, the study revealed that a production center should be created at northern part of Nigeria to replace the dummy supply center used in the analysis, so as to make production capacity equal to requirement.
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
techTransmission usage and cost allocation using shapley value and tracing me...elelijjournal
In the deregulated power system, transmission pricing has become a very important task because it is necessary to develop an efficient, feasible and reliable pricing scheme that can generate the useful economic signals to network users such as generating companies, transmission companies, distribution companies and customers. The objective of this paper is to compare transmission usage and cost allocation scheme to loads (and/or generators) based on Shapley value method and power flow tracing method.Modified Kirchhoff matrix is used for power flow tracing. A comparison is done between the both methods.
A case study based on sample 6 bus power system is applied to check the feasibility and reliability of the proposed usage and cost allocation methodology.
The Automation of Critical Path Method using Machine Learning: A Conceptual S...Dr. Amarjeet Singh
This research aims to shed light on the use of machine learning in improving, developing and automating the critical path method, solving its problems, studying this effect and its dimensions, and discussing that from many aspects.
The research is divided into two theoretical and practical parts. The theoretical part is concerned with studying the critical path method and its advantages, problems and challenges, as well as studying machine learning and artificial intelligence and its dimensions, reviewing materials and sources related to this, and then presenting suggestions and future solutions based on this study. As for the practical section, it is a questionnaire that targeted a segment of engineers, in particular, and others who have sufficient experience in both the critical path method and machine learning, and seeking their opinions on both topics.
The result of the theoretical research was 14 theories or proposals that were presented based on the foregoing study. As for the practical questionnaire, a sample of 127 was taken. Through statistical analysis, the results were analyzed and discussed separately, and then a conclusion was drawn regarding them.
This white paper presents a spatial decision support system (SDSS) aimed at generating optimized vehicles routes for multiple vehicles routing problems that involves serving the demand located at nodes of a transportation network. The SDSS incorporates MapPointTM (cartography and network data), a database and a metaheuristic developed generate routes.
A REVIEW ON OPTIMIZATION OF LEAST SQUARES SUPPORT VECTOR MACHINE FOR TIME SER...ijaia
Support Vector Machine has appeared as an active study in machine learning community and extensively
used in various fields including in prediction, pattern recognition and many more. However, the Least
Squares Support Vector Machine which is a variant of Support Vector Machine offers better solution
strategy. In order to utilize the LSSVM capability in data mining task such as prediction, there is a need to
optimize its hyper parameters. This paper presents a review on techniques used to optimize the parameters
based on two main classes; Evolutionary Computation and Cross Validation.
A Review of MCDM in Transportation and Environmental ProjectsBME
The world becomes unstable, especially politically and economically and the problem is getting more complicated every day that needs more and better analytical tools for making decisions and takes part right sides in decision-making to avoid as much as possible new problems that we would have from decisions.
USING THE ANALYTIC HIERARCHY PROCESS AND GIS FOR DECISION MAKING IN RURAL HIG...IAEME Publication
Rural highway route location is a very complex case, requiring significant time and effort from the planners. This study presented the route location method by applying Analytic Hierarchy Process (AHP) and Geographical Information System (GIS). The location of the study is confined to south Mosul city in Iraq of the area (198km2). The researcher is behind defining the route which connects Baghdad-Mosul and Mosul-Kirkuk roadways. This route is considered the suggested turn to Mosul city. A variety of data set from different sources and at different scales are managed.
Exploring Queuing Theory to Minimize Traffic Congestion Problem in Calabar-Hi...Premier Publishers
Traffic congestion has been a serious problem that drivers are facing especially in Calabar – highway by IBB road intersection. In this paper, emphasis is placed on model formation and derivation of some parameters that will help to facilitate the flow of vehicles in this intersection to reduce traffic congestion. The channel considered in this research is multiple queue single servers. We derived variance waiting time of vehicles in the queue and in the system, expected number of vehicles in the queue and in the system waiting for service, expected waiting time of vehicles in the queue and in the system. We also determine the time each vehicle spends in the queue waiting for service and the mean queue length for all the channels in each section. The result shows fair traffic congestion in Calabar – highway by IBB road intersection especially in the morning and evening hours for all the locations.
International Journal of Business and Management Invention (IJBMI)inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
Modelling traffic flows with gravity models and mobile phone large dataUniversity of Salerno
The analysis of origin-destination traffic flows is useful in many contexts of application
as urban planning and tourism economics, and have been commonly studied through the
Gravity Model, which in its simplest formulation states that flows are proportional to masses
of both origin and destination and inversely proportional to distance between them. Using data
from the flow of mobile phone signals among different areas recorded on hourly basis for several
months, in this study we use the Gravity Model to characterize the dynamic of such flows
over the time in the strongly urbanized and flood-prone area of the Mandolossa (western outskirts
of Brescia, northern Italy), with the final aim of predicting the traffic flow during flood
episodes. In order to better account for the dynamic of flows over time, we introduce in the
model a most accurate set of explanatory variables: (i) the density of mobile phone users by
area and time period and (ii) some appropriate temporal effects. Preliminary results show that
the joint use of these two novel sets of explanatory variables allow us to obtain a better linear
fitting of the Gravity Model and a better traffic flow prediction for the flood risk evaluation.
On The Use of Transportation Techniques to Determine the Cost of Transporting...IOSR Journals
This paper aims at identifying an effective and appropriate method of calculating the cost of transporting goods from several supply centers to several demand centers out of many available methods. Transportation algorithms of North-West corner method (NWCM), Least Cost Method (LCM), Vogel’s Approximation Method (VAM) and Optimality Test were carried out to estimate the cost of transporting produced newspaper from production center to ware-houses using Statistical software called TORA. The results revealed that: NWCM = 36,689,050.00, LCM = 55,250,034.00, VAM = 29,097,700.00 and Optimal solution = 19,566,332.00. It was discovered that Vogel’s Approximation method gives the transportation cost that closer to optimal solution. Also, the study revealed that a production center should be created at northern part of Nigeria to replace the dummy supply center used in the analysis, so as to make production capacity equal to requirement.
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
techTransmission usage and cost allocation using shapley value and tracing me...elelijjournal
In the deregulated power system, transmission pricing has become a very important task because it is necessary to develop an efficient, feasible and reliable pricing scheme that can generate the useful economic signals to network users such as generating companies, transmission companies, distribution companies and customers. The objective of this paper is to compare transmission usage and cost allocation scheme to loads (and/or generators) based on Shapley value method and power flow tracing method.Modified Kirchhoff matrix is used for power flow tracing. A comparison is done between the both methods.
A case study based on sample 6 bus power system is applied to check the feasibility and reliability of the proposed usage and cost allocation methodology.
The Automation of Critical Path Method using Machine Learning: A Conceptual S...Dr. Amarjeet Singh
This research aims to shed light on the use of machine learning in improving, developing and automating the critical path method, solving its problems, studying this effect and its dimensions, and discussing that from many aspects.
The research is divided into two theoretical and practical parts. The theoretical part is concerned with studying the critical path method and its advantages, problems and challenges, as well as studying machine learning and artificial intelligence and its dimensions, reviewing materials and sources related to this, and then presenting suggestions and future solutions based on this study. As for the practical section, it is a questionnaire that targeted a segment of engineers, in particular, and others who have sufficient experience in both the critical path method and machine learning, and seeking their opinions on both topics.
The result of the theoretical research was 14 theories or proposals that were presented based on the foregoing study. As for the practical questionnaire, a sample of 127 was taken. Through statistical analysis, the results were analyzed and discussed separately, and then a conclusion was drawn regarding them.
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 transportation scheduling management system using decision tree and iterate...IJECEIAES
This paper aimed to develop a delivery truck scheduling management system using a decision tree to support decision-making in selecting a delivery truck. First-in-first-out (FIFO) and decision tree techniques were applied to prioritize loading doors for delivery trucks with the use of iterated local search (ILS) in recommending the route for the transport of goods. Besides, an arrangement of loading doors can be assigned to the door that meets the specified conditions. The experimental results showed that the system was able to assign the job to a delivery truck under the specified conditions that were close to the actual operation at a similarity of 0.80. In addition, the application of ILS suggested the route of the food delivery truck in planning the most effective transportation route with the best total distance.
Towards a new intelligent traffic system based on deep learning and data int...IJECEIAES
Time series forecasting is an important technique to study the behavior of temporal data in order to forecast the future values, which is widely applied in intelligent traffic systems (ITS). In this paper, several deep learning models were designed to deal with the multivariate time series forecasting problem for the purpose of long-term predicting traffic volume. Simulation results showed that the best forecasts are obtained with the use of two hidden long short-term memory (LSTM) layers: the first with 64 neurons and the second with 32 neurons. Over 93% of the forecasts were made with less than ±2.0% error. The analysis of variances is mainly due to peaks in some extreme conditions. For this purpose, the data was then merged between two different sources: electromagnetic loops and cameras. Data fusion is based on a calibration of the reliability of the sources according to the visibility conditions and time of the day. The integration results were then compared with the real data to prove the improvement of the prediction results in peak periods after the data fusion step.
Online learning algorithmes often have to operate in the presence of concept drifts. A recent study
revealed that different diversity levels in an ensemble of learning machines are required in order to maintain high
generalization on both old and new concepts. Inspired by this study and based on a further study of diversity with
different strategies to deal with drifts, so propose a new online ensemble learning approach called Diversity for
Dealing with Drifts (DDD).DDD maintains ensembles with different diversity levels and is able to attain better
accuracy than other approaches. Furthermore, it is very robust, outperforming other drift handling approaches in
terms of accuracy when there are false positive drift detections. It is always performed at least as well as
other drift handling approaches under various conditions, with very few exceptions. Presents an analysis of low
and high diversity ensembles combined with different strategies to deal with concept drift and proposes a new
approach (DDD) to handle drifts.
WMNs: The Design and Analysis of Fair Schedulingiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A HEURISTIC APPROACH FOR WEB-SERVICE DISCOVERY AND SELECTIONijcsit
In today’s businesses, service-oriented architectures represent the main paradigm for IT infrastructures.
Indeed, the emergence of Internet made it possible to set up an exploitable environment to distribute applications on a large scale, and this, by adapting the notion of “service”. With the integration of this paradigm in Business to Business Domain (B2B), the number of web services becomes very significant. Due to
this increase, the discovery and selection of web services meeting customer requirement become a very
difficult operation. Further, QoS properties must be taking into account in the web service selection. Moreover, with the significant number of web service, necessary time for the discovery of a service will be rather
long. In this paper, we propose an approach based on a new heuristic method called “Bees Algorithm”
inspired from honey bees behavior. We use this technique of optimization in order to discover appropriate
web services, meeting customer requirements, in least time and taking into account the QoS properties
Similar to A Review on Traffic Signal Identification (20)
‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
Edge Computing in Space Enhancing Data Processing and Communication for Space...ijtsrd
Edge computing, a paradigm that involves processing data closer to its source, has gained significant attention for its potential to revolutionize data processing and communication in space missions. With the increasing complexity and data volume generated by modern space missions, traditional centralized computing approaches face challenges related to latency, bandwidth, and security. Edge computing in space, involving on board processing and analysis of data, offers promising solutions to these challenges. This paper explores the concept of edge computing in space, its benefits, applications, and future prospects in enhancing space missions. Manish Verma "Edge Computing in Space: Enhancing Data Processing and Communication for Space Missions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64541.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64541/edge-computing-in-space-enhancing-data-processing-and-communication-for-space-missions/manish-verma
Dynamics of Communal Politics in 21st Century India Challenges and Prospectsijtsrd
Communal politics in India has evolved through centuries, weaving a complex tapestry shaped by historical legacies, colonial influences, and contemporary socio political transformations. This research comprehensively examines the dynamics of communal politics in 21st century India, emphasizing its historical roots, socio political dynamics, economic implications, challenges, and prospects for mitigation. The historical perspective unravels the intricate interplay of religious identities and power dynamics from ancient civilizations to the impact of colonial rule, providing insights into the evolution of communalism. The socio political dynamics section delves into the contemporary manifestations, exploring the roles of identity politics, socio economic disparities, and globalization. The economic implications section highlights how communal politics intersects with economic issues, perpetuating disparities and influencing resource allocation. Challenges posed by communal politics are scrutinized, revealing multifaceted issues ranging from social fragmentation to threats against democratic values. The prospects for mitigation present a multifaceted approach, incorporating policy interventions, community engagement, and educational initiatives. The paper conducts a comparative analysis with international examples, identifying common patterns such as identity politics and economic disparities. It also examines unique challenges, emphasizing Indias diverse religious landscape, historical legacy, and secular framework. Lessons for effective strategies are drawn from international experiences, offering insights into inclusive policies, interfaith dialogue, media regulation, and global cooperation. By scrutinizing historical epochs, contemporary dynamics, economic implications, and international comparisons, this research provides a comprehensive understanding of communal politics in India. The proposed strategies for mitigation underscore the importance of a holistic approach to foster social harmony, inclusivity, and democratic values. Rose Hossain "Dynamics of Communal Politics in 21st Century India: Challenges and Prospects" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64528.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/history/64528/dynamics-of-communal-politics-in-21st-century-india-challenges-and-prospects/rose-hossain
Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in...ijtsrd
Background and Objective Telehealth has become a well known tool for the delivery of health care in Saudi Arabia, and the perspective and knowledge of healthcare providers are influential in the implementation, adoption and advancement of the method. This systematic review was conducted to examine the current literature base regarding telehealth and the related healthcare professional perspective and knowledge in the Kingdom of Saudi Arabia. Materials and Methods This systematic review was conducted by searching 7 databases including, MEDLINE, CINHAL, Web of Science, Scopus, PubMed, PsycINFO, and ProQuest Central. Studies on healthcare practitioners telehealth knowledge and perspectives published in English in Saudi Arabia from 2000 to 2023 were included. Boland directed this comprehensive review. The researchers examined each connected study using the AXIS tool, which evaluates cross sectional systematic reviews. Narrative synthesis was used to summarise and convey the data. Results Out of 1840 search results, 10 studies were included. Positive outlook and limited knowledge among providers were seen across trials. Healthcare professionals like telehealth for its ability to improve quality, access, and delivery, save time and money, and be successful. Age, gender, occupation, and work experience also affect health workers knowledge. In Saudi Arabia, healthcare professionals face inadequate expert assistance, patient privacy, internet connection concerns, lack of training courses, lack of telehealth understanding, and high costs while performing telemedicine. Conclusions Healthcare practitioners telehealth perceptions and knowledge were examined in this systematic study. Its collection of concerned experts different personal attitudes and expertise would help enhance telehealths implementation in Saudi Arabia, develop its healthcare delivery alternative, and eliminate frequent problems. Badriah Mousa I Mulayhi | Dr. Jomin George | Judy Jenkins "Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in Saudi Arabia: A Systematic Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64535.pdf Paper Url: https://www.ijtsrd.com/medicine/other/64535/assess-perspective-and-knowledge-of-healthcare-providers-towards-elehealth-in-saudi-arabia-a-systematic-review/badriah-mousa-i-mulayhi
The Impact of Digital Media on the Decentralization of Power and the Erosion ...ijtsrd
The impact of digital media on the distribution of power and the weakening of traditional gatekeepers has gained considerable attention in recent years. The adoption of digital technologies and the internet has resulted in declining influence and power for traditional gatekeepers such as publishing houses and news organizations. Simultaneously, digital media has facilitated the emergence of new voices and players in the media industry. Digital medias impact on power decentralization and gatekeeper erosion is visible in several ways. One significant aspect is the democratization of information, which enables anyone with an internet connection to publish and share content globally, leading to citizen journalism and bypassing traditional gatekeepers. Another aspect is the disruption of conventional media industry business models, as traditional organizations struggle to adjust to the decrease in advertising revenue and the rise of digital platforms. Alternative business models, such as subscription models and crowdfunding, have become more prevalent, leading to the emergence of new players. Overall, the impact of digital media on the distribution of power and the weakening of traditional gatekeepers has brought about significant changes in the media landscape and the way information is shared. Further research is required to fully comprehend the implications of these changes and their impact on society. Dr. Kusum Lata "The Impact of Digital Media on the Decentralization of Power and the Erosion of Traditional Gatekeepers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64544.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64544/the-impact-of-digital-media-on-the-decentralization-of-power-and-the-erosion-of-traditional-gatekeepers/dr-kusum-lata
Online Voices, Offline Impact Ambedkars Ideals and Socio Political Inclusion ...ijtsrd
This research investigates the nexus between online discussions on Dr. B.R. Ambedkars ideals and their impact on social inclusion among college students in Gurugram, Haryana. Surveying 240 students from 12 government colleges, findings indicate that 65 actively engage in online discussions, with 80 demonstrating moderate to high awareness of Ambedkars ideals. Statistically significant correlations reveal that higher online engagement correlates with increased awareness p 0.05 and perceived social inclusion. Variations across colleges and a notable effect of college type on perceived social inclusion highlight the influence of contextual factors. Furthermore, the intersectional analysis underscores nuanced differences based on gender, caste, and socio economic status. Dr. Kusum Lata "Online Voices, Offline Impact: Ambedkar's Ideals and Socio-Political Inclusion - A Study of Gurugram District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64543.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64543/online-voices-offline-impact-ambedkars-ideals-and-sociopolitical-inclusion--a-study-of-gurugram-district/dr-kusum-lata
Problems and Challenges of Agro Entreprenurship A Studyijtsrd
Noting calls for contextualizing Agro entrepreneurs problems and challenges of the agro entrepreneurs and for greater attention to the Role of entrepreneurs in agro entrepreneurship research, we conduct a systematic literature review of extent research in agriculture entrepreneurship to overcome the study objectives of complications of agro entrepreneurs through various factors, Development of agriculture products is a key factor for the overall economic growth of agro entrepreneurs Agro Entrepreneurs produces firsthand large scale employment, utilizes the labor and natural resources, This research outlines the problems of Weather and Soil Erosions, Market price fluctuation, stimulates labor cost problems, reduces concentration of Price volatility, Dependency on Intermediaries, induces Limited Bargaining Power, and Storage and Transportation Costs. This paper mainly devoted to highlight Problems and challenges faced for the sustainable of Agro Entrepreneurs in India. Vinay Prasad B "Problems and Challenges of Agro Entreprenurship - A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64540.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64540/problems-and-challenges-of-agro-entreprenurship--a-study/vinay-prasad-b
Comparative Analysis of Total Corporate Disclosure of Selected IT Companies o...ijtsrd
Disclosure is a process through which a business enterprise communicates with external parties. A corporate disclosure is communication of financial and non financial information of the activities of a business enterprise to the interested entities. Corporate disclosure is done through publishing annual reports. So corporate disclosure through annual reports plays a vital role in the life of all the companies and provides valuable information to investors. The basic objectives of corporate disclosure is to give a true and fair view of companies to the parties related either directly or indirectly like owner, government, creditors, shareholders etc. in the companies act, provisions have been made about mandatory and voluntary disclosure. The IT sector in India is rapidly growing, the trend to invest in the IT sector is rising and employment opportunities in IT sectors are also increasing. Therefore the IT sector is expected to have fair, full and adequate disclosure of all information. Unfair and incomplete disclosure may adversely affect the entire economy. A research study on disclosure practices of IT companies could play an important role in this regard. Hence, the present research study has been done to study and review comparative analysis of total corporate disclosure of selected IT companies of India and to put forward overall findings and suggestions with a view to increase disclosure score of these companies. The researcher hopes that the present research study will be helpful to all selected Companies for improving level of corporate disclosure through annual reports as well as the government, creditors, investors, all business organizations and upcoming researcher for comparative analyses of level of corporate disclosure with special reference to selected IT companies. Dr. Vaibhavi D. Thaker "Comparative Analysis of Total Corporate Disclosure of Selected IT Companies of India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64539.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64539/comparative-analysis-of-total-corporate-disclosure-of-selected-it-companies-of-india/dr-vaibhavi-d-thaker
The Impact of Educational Background and Professional Training on Human Right...ijtsrd
This study investigated the impact of educational background and professional training on human rights awareness among secondary school teachers in the Marathwada region of Maharashtra, India. The key findings reveal that higher levels of education, particularly a master’s degree, and fields of study related to education, humanities, or social sciences are associated with greater human rights awareness among teachers. Additionally, both pre service teacher training and in service professional development programs focused on human rights education significantly enhance teacher’s knowledge, skills, and competencies in promoting human rights principles in their classrooms. Baig Ameer Bee Mirza Abdul Aziz | Dr. Syed Azaz Ali Amjad Ali "The Impact of Educational Background and Professional Training on Human Rights Awareness among Secondary School Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64529.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64529/the-impact-of-educational-background-and-professional-training-on-human-rights-awareness-among-secondary-school-teachers/baig-ameer-bee-mirza-abdul-aziz
A Study on the Effective Teaching Learning Process in English Curriculum at t...ijtsrd
“One Language sets you in a corridor for life. Two languages open every door along the way” Frank Smith English as a foreign language or as a second language has been ruling in India since the period of Lord Macaulay. But the question is how much we teach or learn English properly in our culture. Is there any scope to use English as a language rather than a subject How much we learn or teach English without any interference of mother language specially in the classroom teaching learning scenario in West Bengal By considering all these issues the researcher has attempted in this article to focus on the effective teaching learning process comparing to other traditional strategies in the field of English curriculum at the secondary level to investigate whether they fulfill the present teaching learning requirements or not by examining the validity of the present curriculum of English. The purpose of this study is to focus on the effectiveness of the systematic, scientific, sequential and logical transaction of the course between the teachers and the learners in the perspective of the 5Es programme that is engage, explore, explain, extend and evaluate. Sanchali Mondal | Santinath Sarkar "A Study on the Effective Teaching Learning Process in English Curriculum at the Secondary Level of West Bengal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62412.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/62412/a-study-on-the-effective-teaching-learning-process-in-english-curriculum-at-the-secondary-level-of-west-bengal/sanchali-mondal
The Role of Mentoring and Its Influence on the Effectiveness of the Teaching ...ijtsrd
This paper reports on a study which was conducted to investigate the role of mentoring and its influence on the effectiveness of the teaching of Physics in secondary schools in the South West Region of Cameroon. The study adopted the convergent parallel mixed methods design, focusing on respondents in secondary schools in the South West Region of Cameroon. Both quantitative and qualitative data were collected, analysed separately, and the results were compared to see if the findings confirm or disconfirm each other. The quantitative analysis found that majority of the respondents 72 of Physics teachers affirmed that they had more experienced colleagues as mentors to help build their confidence, improve their teaching, and help them improve their effectiveness and efficiency in guiding learners’ achievements. Only 28 of the respondents disagreed with these statements. With majority respondents 72 agreeing with the statements, it implies that in most secondary schools, experienced Physics teachers act as mentors to build teachers’ confidence in teaching and improving students’ learning. The interview qualitative data analysis summarized how secondary school Principals use meetings with mentors and mentees to promote mentorship in the school milieu. This has helped strengthen teachers’ classroom practices in secondary schools in the South West Region of Cameroon. With the results confirming each other, the study recommends that mentoring should focus on helping teachers employ social interactions and instructional practices feedback and clarity in teaching that have direct measurable impact on students’ learning achievements. Andrew Ngeim Sumba | Frederick Ebot Ashu | Peter Agborbechem Tambi "The Role of Mentoring and Its Influence on the Effectiveness of the Teaching of Physics in Secondary Schools in the South West Region of Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64524.pdf Paper Url: https://www.ijtsrd.com/management/management-development/64524/the-role-of-mentoring-and-its-influence-on-the-effectiveness-of-the-teaching-of-physics-in-secondary-schools-in-the-south-west-region-of-cameroon/andrew-ngeim-sumba
Design Simulation and Hardware Construction of an Arduino Microcontroller Bas...ijtsrd
This study primarily focuses on the design of a high side buck converter using an Arduino microcontroller. The converter is specifically intended for use in DC DC applications, particularly in standalone solar PV systems where the PV output voltage exceeds the load or battery voltage. To evaluate the performance of the converter, simulation experiments are conducted using Proteus Software. These simulations provide insights into the input and output voltages, currents, powers, and efficiency under different state of charge SoC conditions of a 12V,70Ah rechargeable lead acid battery. Additionally, the hardware design of the converter is implemented, and practical data is collected through operation, monitoring, and recording. By comparing the simulation results with the practical results, the efficiency and performance of the designed converter are assessed. The findings indicate that while the buck converter is suitable for practical use in standalone PV systems, its efficiency is compromised due to a lower output current. Chan Myae Aung | Dr. Ei Mon "Design Simulation and Hardware Construction of an Arduino-Microcontroller Based DC-DC High-Side Buck Converter for Standalone PV System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64518.pdf Paper Url: https://www.ijtsrd.com/engineering/mechanical-engineering/64518/design-simulation-and-hardware-construction-of-an-arduinomicrocontroller-based-dcdc-highside-buck-converter-for-standalone-pv-system/chan-myae-aung
Sustainable Energy by Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadikuijtsrd
Energy becomes sustainable if it meets the needs of the present without compromising the ability of future generations to meet their own needs. Some of the definitions of sustainable energy include the considerations of environmental aspects such as greenhouse gas emissions, social, and economic aspects such as energy poverty. Generally far more sustainable than fossil fuel are renewable energy sources such as wind, hydroelectric power, solar, and geothermal energy sources. Worthy of note is that some renewable energy projects, like the clearing of forests to produce biofuels, can cause severe environmental damage. The sustainability of nuclear power which is a low carbon source is highly debated because of concerns about radioactive waste, nuclear proliferation, and accidents. The switching from coal to natural gas has environmental benefits, including a lower climate impact, but could lead to delay in switching to more sustainable options. “Carbon capture and storage” can be built into power plants to remove the carbon dioxide CO2 emissions, but this technology is expensive and has rarely been implemented. Leading non renewable energy sources around the world is fossil fuels, coal, petroleum, and natural gas. Nuclear energy is usually considered another non renewable energy source, although nuclear energy itself is a renewable energy source, but the material used in nuclear power plants is not. The paper addresses the issue of sustainable energy, its attendant benefits to the future generation, and humanity in general. Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadiku "Sustainable Energy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64534.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/64534/sustainable-energy/paul-a-adekunte
Concepts for Sudan Survey Act Implementations Executive Regulations and Stand...ijtsrd
This paper aims to outline the executive regulations, survey standards, and specifications required for the implementation of the Sudan Survey Act, and for regulating and organizing all surveying work activities in Sudan. The act has been discussed for more than 5 years. The Land Survey Act was initiated by the Sudan Survey Authority and all official legislations were headed by the Sudan Ministry of Justice till it was issued in 2022. The paper presents conceptual guidelines to be used for the Survey Act implementation and to regulate the survey work practice, standardizing the field surveys, processing, quality control, procedures, and the processes related to survey work carried out by the stakeholders and relevant authorities in Sudan. The conceptual guidelines are meant to improve the quality and harmonization of geospatial data and to aid decision making processes as well as geospatial information systems. The established comprehensive executive regulations will govern and regulate the implementation of the Sudan Survey Geomatics Act in all surveying and mapping practices undertaken by the Sudan Survey Authority SSA and state local survey departments for public or private sector organizations. The targeted standards and specifications include the reference frame, projection, coordinate systems, and the guidelines and specifications that must be followed in the field of survey work, processes, and mapping products. In the last few decades, there has been a growing awareness of the importance of geomatics activities and measurements on the Earths surface in space and time, together with observing and mapping the changes. In such cases, data must be captured promptly, standardized, and obtained with more accuracy and specified in much detail. The paper will also highlight the current situation in Sudan, the degree to which survey standards are used, the problems encountered, and the errors that arise from not using the standards and survey specifications. Kamal A. A. Sami "Concepts for Sudan Survey Act Implementations - Executive Regulations and Standards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63484.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63484/concepts-for-sudan-survey-act-implementations--executive-regulations-and-standards/kamal-a-a-sami
Towards the Implementation of the Sudan Interpolated Geoid Model Khartoum Sta...ijtsrd
The discussions between ellipsoid and geoid have invoked many researchers during the recent decades, especially during the GNSS technology era, which had witnessed a great deal of development but still geoid undulation requires more investigations. To figure out a solution for Sudans local geoid, this research has tried to intake the possibility of determining the geoid model by following two approaches, gravimetric and geometrical geoid model determination, by making use of GNSS leveling benchmarks at Khartoum state. The Benchmarks are well distributed in the study area, in which, the horizontal coordinates and the height above the ellipsoid have been observed by GNSS while orthometric heights were carried out using precise leveling. The Global Geopotential Model GGM represented in EGM2008 has been exploited to figure out the geoid undulation at the benchmarks in the study area. This is followed by a fitting process, that has been done to suit the geoid undulation data which has been computed using GNSS leveling data and geoid undulation inspired by the EGM2008. Two geoid surfaces were created after the fitting process to ensure that they are identical and both of them could be counted for getting the same geoid undulation with an acceptable accuracy. In this respect, statistical operation played an important role in ensuring the consistency and integrity of the model by applying cross validation techniques splitting the data into training and testing datasets for building the geoid model and testing its eligibility. The geometrical solution for geoid undulation computation has been utilized by applying straightforward equations that facilitate the calculation of the geoid undulation directly through applying statistical techniques for the GNSS leveling data of the study area to get the common equation parameters values that could be utilized to calculate geoid undulation of any position in the study area within the claimed accuracy. Both systems were checked and proved eligible to be used within the study area with acceptable accuracy which may contribute to solving the geoid undulation problem in the Khartoum area, and be further generalized to determine the geoid model over the entire country, and this could be considered in the future, for regional and continental geoid model. Ahmed M. A. Mohammed. | Kamal A. A. Sami "Towards the Implementation of the Sudan Interpolated Geoid Model (Khartoum State Case Study)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63483.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63483/towards-the-implementation-of-the-sudan-interpolated-geoid-model-khartoum-state-case-study/ahmed-m-a-mohammed
Activating Geospatial Information for Sudans Sustainable Investment Mapijtsrd
Sudan is witnessing an acceleration in the processes of development and transformation in the performance of government institutions to raise the productivity and investment efficiency of the government sector. The development plans and investment opportunities have focused on achieving national goals in various sectors. This paper aims to illuminate the path to the future and provide geospatial data and information to develop the investment climate and environment for all sized businesses, and to bridge the development gap between the Sudan states. The Sudan Survey Authority SSA is the main advisor to the Sudan Government in conducting surveying, mappings, designing, and developing systems related to geospatial data and information. In recent years, SSA made a strategic partnership with the Ministry of Investment to activate Geospatial Information for Sudans Sustainable Investment and in particular, for the preparation and implementation of the Sudan investment map, based on the directives and objectives of the Ministry of Investment MI in Sudan. This paper comes within the framework of activating the efforts of the Ministry of Investment to develop technical investment services by applying techniques adopted by the Ministry and its strategic partners for advancing investment processes in the country. Kamal A. A. Sami "Activating Geospatial Information for Sudan's Sustainable Investment Map" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63482.pdf Paper Url: https://www.ijtsrd.com/engineering/information-technology/63482/activating-geospatial-information-for-sudans-sustainable-investment-map/kamal-a-a-sami
Educational Unity Embracing Diversity for a Stronger Societyijtsrd
In a rapidly changing global landscape, the importance of education as a unifying force cannot be overstated. This paper explores the crucial role of educational unity in fostering a stronger and more inclusive society through the embrace of diversity. By examining the benefits of diverse learning environments, the paper aims to highlight the positive impact on societal strength. The discussion encompasses various dimensions, from curriculum design to classroom dynamics, and emphasizes the need for educational institutions to become catalysts for unity in diversity. It highlights the need for a paradigm shift in educational policies, curricula, and pedagogical approaches to ensure that they are reflective of the diverse fabric of society. This paper also addresses the challenges associated with implementing inclusive educational practices and offers practical strategies for overcoming barriers. It advocates for collaborative efforts between educational institutions, policymakers, and communities to create a supportive ecosystem that promotes diversity and unity. Mr. Amit Adhikari | Madhumita Teli | Gopal Adhikari "Educational Unity: Embracing Diversity for a Stronger Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64525.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64525/educational-unity-embracing-diversity-for-a-stronger-society/mr-amit-adhikari
Integration of Indian Indigenous Knowledge System in Management Prospects and...ijtsrd
The diversity of indigenous knowledge systems in India is vast and can vary significantly between different communities and regions. Preserving and respecting these knowledge systems is crucial for maintaining cultural heritage, promoting sustainable practices, and fostering cross cultural understanding. In this paper, an overview of the prospects and challenges associated with incorporating Indian indigenous knowledge into management is explored. It is found that IIKS helps in management in many areas like sustainable development, tourism, food security, natural resource management, cultural preservation and innovation, etc. However, IIKS integration with management faces some challenges in the form of a lack of documentation, cultural sensitivity, language barriers legal framework, etc. Savita Lathwal "Integration of Indian Indigenous Knowledge System in Management: Prospects and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63500.pdf Paper Url: https://www.ijtsrd.com/management/accounting-and-finance/63500/integration-of-indian-indigenous-knowledge-system-in-management-prospects-and-challenges/savita-lathwal
DeepMask Transforming Face Mask Identification for Better Pandemic Control in...ijtsrd
The COVID 19 pandemic has highlighted the crucial need of preventive measures, with widespread use of face masks being a key method for slowing the viruss spread. This research investigates face mask identification using deep learning as a technological solution to be reducing the risk of coronavirus transmission. The proposed method uses state of the art convolutional neural networks CNNs and transfer learning to automatically recognize persons who are not wearing masks in a variety of circumstances. We discuss how this strategy improves public health and safety by providing an efficient manner of enforcing mask wearing standards. The report also discusses the obstacles, ethical concerns, and prospective applications of face mask detection systems in the ongoing fight against the pandemic. Dilip Kumar Sharma | Aaditya Yadav "DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64522.pdf Paper Url: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/64522/deepmask-transforming-face-mask-identification-for-better-pandemic-control-in-the-covid19-era/dilip-kumar-sharma
Streamlining Data Collection eCRF Design and Machine Learningijtsrd
Efficient and accurate data collection is paramount in clinical trials, and the design of Electronic Case Report Forms eCRFs plays a pivotal role in streamlining this process. This paper explores the integration of machine learning techniques in the design and implementation of eCRFs to enhance data collection efficiency. We delve into the synergies between eCRF design principles and machine learning algorithms, aiming to optimize data quality, reduce errors, and expedite the overall data collection process. The application of machine learning in eCRF design brings forth innovative approaches to data validation, anomaly detection, and real time adaptability. This paper discusses the benefits, challenges, and future prospects of leveraging machine learning in eCRF design for streamlined and advanced data collection in clinical trials. Dhanalakshmi D | Vijaya Lakshmi Kannareddy "Streamlining Data Collection: eCRF Design and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63515.pdf Paper Url: https://www.ijtsrd.com/biological-science/biotechnology/63515/streamlining-data-collection-ecrf-design-and-machine-learning/dhanalakshmi-d
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
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@ IJTSRD | Unique Paper ID – IJTSRD23557 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 895
solid basic leadership operators, equipped for beating
individuals. Since the aftereffects of applying profound
fortification figuring out how to amusements are amazing, a
coherent subsequent stage is to utilize these calculations to
take care of certifiable issues. For instance, the cost of
movement blockage in the EU is vast, assessed to be 1% of
the EU's GDP [6], and great answers for activity light control
may decrease activity clog, sparing time and cash and
lessening contamination. In this theory, an operator is an
element fit for settling on choices in view of its perceptions
of nature. Frameworks where different of these specialists
collaborate to achieve a shared objective are helpful multi-
operator frameworks. Systems of movement light crossing
points can be spoken to as helpful multi-specialist
frameworks, where each activity lightisanoperator, andthe
operators arrange to together improve movement
throughput. By utilizing support learning techniques, a
movement control framework can be produced wherein
activity light operators participate to advance movement
stream, while at the same time enhancing after some time.
While prior work has explored the mix of more customary
fortification learning strategies with coordination
calculations, these methodologies require manual element
extraction and rearranging presumptions, possibly losing
key data that a profound learning methodology can figure
out how to use. This makes activity light control a decent
application to test the insertingofprofoundsupportlearning
into coordination algorithms[7].
Individuals' expectations for everyday comforts are
expanding, which prompts the expanding of the requests of
private autos. In such manner, keeping in mind the end goal
to mitigate the expanding activity weight, we ought to
reinforce the urban movement flag administration. Œe
sensible movement lights set, not just helpful for expanding
activity ƒflow, decreasing movement wellbeing dangers and
travel time, yet additionally lessening movement vitality
utilization, urban air contamination and people groups'
movement costs. ŒThere are three conceivable answers for
this problem[8].
1. Macro-control, i.e. national approach, to constrain the
quantity of vehicles out and about system. For instance,
even and odd numbered tag. In any case, the declaration
of the approach includes an excessive number of
viewpoints, and not inside our abilities.
2. From the point of view of street foundation, we can
manufacture viaducts, underground quick courses, and
so on., to expand the street organize limit. Be that as it
may, this strategy will be excessively expensive, and in
the early time, it will decrease the street arrange limit.
3. based on the current framework, we can enhance the
operational proficiency of the street arrange and our
capacity to deal with the street organize.
Fig. 1: Road Network [1]
II. THE DEEP REINFORCEMENT-LEARNINGTRAFFIC
CONTROLLER
In traditional methodologies, the Q-work is actualized
utilizing a table or a capacity approximator.
Notwithstanding, the state spaces of movement flag timing
issues is huge to the point that we can scarcely take care of
the detailed support learning issueinsidealimitedtimewith
a table based Q learning technique; and the conventional
capacity approximator based Q learning strategy can barely
catch elements of activity stream. Conversely, we utilize the
profound stacked autoencoders (SAE) neural network to
assess the Q-work here. This neural systemtakesthestate as
info and yields the Qvalue for every conceivable activity. a
representation of its structure. As its name shows, the SAE
neural system contains different shrouded layers of
autoencoders where the yield of each layer is wired to the
contributions of the progressive layer. Autoencoders are
building pieces of making the profound SAE neural system.
An autoencoder is a neural system that sets the objective
yield to be equivalent to the information. a delineation of an
autoencoder, which has three layers: one info layer, one
concealed layer, and one yield layer.
Fig.2. An autoencoder[2]
III. LITERATURE SURVEY
Juntao Gao, Yulong Shen et.al.[2017] have contemplated
Adaptive activity flag control, which changes movementflag
timing as indicated by ongoing movement, had been
appeared to be a viable technique to lessen movement
blockage. Accessible takes a shot at versatile movement flag
control settle on responsive activity flag control choices in
view of human-made highlights (e.g. vehicle line length). In
any case, human-made highlights are deliberations of crude
movement information (e.g., position and speed of vehicles),
which overlook some helpful activity data and prompt
suboptima l movement flag controls. In this paper, they
proposed a profound fortification learning calculation that
naturally extricates every single valuableelement(machine-
created highlights) from crude ongoing movement
information and takes in the ideal approach for versatile
activity signa l control. To enhance calculation strength, we
embrace encounter replay and target organize systems.
Reproduction comes about demonstratethatour calculation
decreases vehicle delay by up to 47% and 86% when
contrasted with another two famous movement flag control
calculations, longest line first calculation and settled time
control calculation, respectively.[1]
Seyed Sajad Mousav et.al.[2017] have examined Recent
advances in consolidating profound neural system models
with support learning methods have demonstrated
promising potential outcomes in tackling complex control
issues with high dimensional state and activity spaces.
Roused by these triumphs, in this paper, we assemble two
sorts of support learning calculations: profound
arrangement angle and esteemworkbasedspecialistswhich
can anticipate the most ideal activitymotion foramovement
convergence. At each time step, these versatile movement
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@ IJTSRD | Unique Paper ID – IJTSRD23557 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 896
light control operators get a depiction of the present
condition of a graphical activity test system and deliver
control signals. The arrangement angle based specialist
maps its perception specifically to the control flag, however
the esteem work based operator first gauges esteems for all
lawful control signals. The operator at thatpointchoosesthe
ideal control activity with the most noteworthy esteem. The
promising outcomes in a rush hour gridlock organize
reenacted in the SUMO movement test system, without
torment from flimsiness issues amid the preparation
process.[2]
Li et. al.[2016] contemplated an arrangementofcalculations
to configuration flag timing designs through profound
fortification learning. The center thought of this approach is
to set up a profound neural system (DNN) to take in the Q-
capacity of support gaining from the inspected movement
state/control inputs and the relating activity framework
execution yield. In view of the got DNN, they can locate the
fitting sign planning approaches by verifiably displayingthe
control activities and the difference in framework states.
They clarified the conceivable advantages andusagetraps of
this new approach. The connections between this new
approach and some current methodologies are likewise
precisely talked about. [3]
Swim Genders et.al[2016] have considered Ensuring
transportation frameworks are proficient is a need for
present day society. Mechanical advances have made it
workable for transportation frameworks togather extensive
volumes of changed information on a remarkable scale. We
propose a movement flag control framework which exploits
this new, fantastic information, with negligible deliberation
contrasted with other proposed frameworks. They
connected current profound support learning techniques to
assemble a genuinely versatile activity flag control operator
in the rush hour gridlock microsimulator SUMO. They
proposed another state space, the discrete movement state
encoding, which is data thick. The discrete activity state
encoding is utilized as contribution to a profound
convolutional neural system, prepared utilizing Q-learning
with encounter replay. Our operator was looked at against a
one shrouded layer neural system activity flag control
specialist and diminishes normalcombined deferralby82%,
normal line length by 66% and normal travel time by
20%.[4]
Elise van der Pol et.al.[2016] have considered researched
learning control approaches for movement lights. They
presented another reward work for the activity lightcontrol
issue, and proposed the blend of the prominent Deep Q-
learning calculation with a coordination calculation for an
adaptable way to dealwithcontrollingorganizingmovement
lights, without requiringthestreamliningsuspicionsmadein
before work. They demonstrated that the approach
diminishes fly out circumstancescontrasted with beforetake
a shot at fortification learning strategies for movement light
control and research conceivable reasons for insecurity in
the single-specialist case.[5]
IV. PROBLEM FORMULATION
In this examination work distinctive issues are considered
that are given underneath:
1. There are best flag designs assurance issues when
movement stream depictions are set up.
2. Another issue is the movement flag timing issues on
support learning approach.
3. There is a demonstrating and advancement issue of
complex frameworks by utilizing profound Q arrange.
4. Another is the fortification learning issue inside a
limited time with a table based Q learning technique.
5. Another is vehicle control issue.
6. The issue of choosing the setups of movement lights at a
crossing point (i.e., which bearings get green) as a
support learning (RL) issue. The yield of that first
learning issue would then fill in as uproarious
contributions to the Q-learning movement light control
process.
7. A surely understood issue with profound fortification
learning is that the calculations may b e temperamental
or even wander in basic leadership.
V. RESEARCH METHODOLOGY
Fortification learning is meant to amplify the long haul
compensates by playing out a state-activity strategy. In any
case, when the state space goes too substantial to deal with,
work approximators, neural systems, can be utilized to
surmised esteem capacities. Tocondense,Deep learningis in
charge of speaking to the condition of the Markov Decision
Process, while fortification learning should take control of
the bearing of learning. We initially confirm our profound
support learning calculation by reenactments as far as
vehicle staying time, vehicle postponement and calculation
steadiness, we at that point think about the vehicle deferral
of our calculation to another two prevalent movement flag
control calculations. The crossing point geometry is four
paths moving toward the convergence from the compass
headings (i.e., North, South, East and West) associated with
four active paths from the crossing point. The activity
developments for each approach are asperthefollowing:the
inward path is left turn just, the two center paths are
through paths and the external path is through and right
turning. All paths are 750 meters long, from the vehicle
starting point to the convergence stop line. The strategy by
which vehicles are created and discharged into the system
enormously impacts the nature of any movement
reenactment. The mostprominentvehicleagetechniqueisto
arbitrarily test from a likelihood dispersion numbers that
speak to vehicle progress times, or the timeinterimbetween
vehicles. This exploration does not part from this strategy
completely, be that as it may we endeavor to actualize a
nuanced variant which better models certifiable movement.
Deep reinforcement learning algorithm with experience
replay and target network for traffic signal control
1: Initialize DNN network with random weights θ;
2: Initialize target network with weights θ′ = θ;
3: Initialize ǫ, γ, β, N;
4: for episode= 1 to N do
5: Initialize intersection state S1;
6: Initialize action A0;
7: Start new time step;
8: for time = 1 to T seconds do
9: if new time step t begins then
10: The agent observes current intersection state St;
11: The agent selects action At =arg maxa Q(St, a; θ) with
probability 1 − ǫ and randomly selects an action At with
probability ǫ;
12: if At == At−1 then
13: Keep current traffic signal settings unchanged;
14: else
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15: Actuate transition traffic signals;
16: end if
17: end if
18: Vehicles run under current traffic signals;
19: time = time + 1;
20: if transition signals are actuated and transition interval
ends then
21: Execute selected action At;
22: end if
23: if time step t ends then
24: The agent observes reward Rt and current intersection
state St+1;
25: Store observed experience (St, At, Rt, St+1) into replay
memory M;
26: Randomly draw 32 samples (Si, Ai, Ri, Si+1) as mini
batch from memory M;
27: Form training data: input data set X and targets y;
28: Update θ by applying RMSProp algorithm to training
data;
29: Update θ′ according to (8);
30: end if
31: end for
32: end for
VI. CONCLUSION & FUTURE WORK
The various advancements utilized for speed infringement
recognition like Radar Based Technology, Laser Light
System, Average speed PC System, Vision Based System and
so on. Every one of them experience theilleffectsof theissue
like Less Accuracy; don't work in awful climate or light
condition, High Cost, Limited Range, Line of sight, issue to
Focus on a specific vehicle and so on. There are best flag
designs assurance issueswhen movementstreamdepictions
are set up. The issue of choosing the setups of activity lights
at a crossing point (i.e., which bearings get green) as a
fortification learning issue. The yield of that first learning
issue would then fill in as uproarious contributions to the Q-
learning movement light controlprocess.Infutureeveryone
of these issues are settled with the assistance of various
strategies and procedures.
REFERENCES
[1] Juntao Gao, Yulong Shen et.al. “Adaptive Traffic Signal
Control: Deep Reinforcement Learning Algorithm with
Experience Replay and Target Network” arXiv: 1705.
02755v1 [cs.NI] 8 May 2017.
[2] Seyed Sajad Mousav et.al. “Traffic Light Control Using
Deep Policy-Gradient and Value-Function Based
Reinforcement Learning” arXiv:1704.08883v2 [cs.LG] 27
May 2017.
[3] Li Li, et.al. “Traffic Signal Timing via Deep
Reinforcement Learning” IEEE/CAA Journal of
Automatica Sinica, Vol. 3, No. 3, July 2016.
[4] Wade Genders et.al “Using a Deep Reinforcement
Learning Agent for Traffic Signal Control”
arXiv:1611.01142v1 [cs.LG] 3 Nov 2016.
[5] Elise van der Pol et.al. “Coordinated Deep Reinforcement
Learners for Traffic Light Control” 30th Conference on
Neural Information Processing Systems (NIPS 2016),
Barcelona, Spain.
[6] Mirchandani P, Head L. A real-time traffic signal control
system: architecture, algorithms, and analysis.
Transportation Research, Part C: Emerging Technologies,
2001, 9(6): 415−432.
[7] Papageorgiou M, Diakaki C, Dinopoulou V, Kotsialos A,
Wang Y B. Review of road traffic control strategies.
Proceedings of the IEEE, 2003, 91(12): 2043−2067.
[8] Mirchandani P, Wang F Y. RHODES to intelligent
transportation systems. IEEE Intelligent Systems, 2005,
20(1): 10−15
[9] Chen B, Cheng H H. A review of the applications of agent
technology in traffic and transportation systems. IEEE
Transactions on Intelligent Transportation Systems, 2010,
11(2): 485−497
[10] Bellemans T, De Schutter B, De Moor B. Model predictive
control for ramp metering of motorway traffic: a case
study. Control Engineering Practice, 2006, 14(7): 757−767
[11] Timotheou S, Panayiotou C G, Polycarpou M M.
Distributed traffic signal control using the cell
transmission model via the alternating direction method of
multipliers. IEEE Transactions on Intelligent
Transportation Systems, 2015, 16(2): 919−933
[12] Wang F Y. Parallel control and management for intelligent
transportation systems: concepts, architectures, and
applications. IEEE Transactions on Intelligent
Transportation Systems, 2010, 11(3): 630−638