Cloud computing has drastically changed the delivery and consumption of live streaming content.The designs,challenges,and possible uses of cloud computing for live streaming are studied.A comprehensive overview of the...Cloud computing has drastically changed the delivery and consumption of live streaming content.The designs,challenges,and possible uses of cloud computing for live streaming are studied.A comprehensive overview of the technical and business issues surrounding cloudbased live streaming is provided,including the benefits of cloud computing,the various live streaming architectures,and the challenges that live streaming service providers face in delivering high‐quality,real‐time services.The different techniques used to improve the performance of video streaming,such as adaptive bit‐rate streaming,multicast distribution,and edge computing are discussed and the necessity of low‐latency and high‐quality video transmission in cloud‐based live streaming is underlined.Issues such as improving user experience and live streaming service performance using cutting‐edge technology,like artificial intelligence and machine learning are discussed.In addition,the legal and regulatory implications of cloud‐based live streaming,including issues with network neutrality,data privacy,and content moderation are addressed.The future of cloud computing for live streaming is examined in the section that follows,and it looks at the most likely new developments in terms of trends and technology.For technology vendors,live streaming service providers,and regulators,the findings have major policy‐relevant implications.Suggestions on how stakeholders should address these concerns and take advantage of the potential presented by this rapidly evolving sector,as well as insights into the key challenges and opportunities associated with cloud‐based live streaming are provided.展开更多
Software development is getting a transition from centralized version control systems(CVCSs)like Subversion to decentralized version control systems(DVCDs)like Git due to lesser efficiency of former in terms of branch...Software development is getting a transition from centralized version control systems(CVCSs)like Subversion to decentralized version control systems(DVCDs)like Git due to lesser efficiency of former in terms of branching,fusion,time,space,merging,offline commits&builds and repository,etc.Git is having a share of 77%of total VCS,followed by Subversion with a share of 13.5%.The majority of software industries are getting a migration from Subversion to Git.Only a few migration tools are available in the software industry.Still,these too lack in many features like lack of identifying the empty directories as premigration check,failover capabilities during migration due to network failure or disk space issue,and detailed report generation as post-migration steps.In this work,a holistic,proactive and novel approach has been presented for pre/during/post-migration validation from Subversion to Git.Many scripts have been developed and executed run-time over various projects for overcoming the limitations of existing migration software tools for a Subversion to Git migration.During premigration,none of the available migration tools has the capability to fetch empty directories of Subversion,which results in an incomplete migration from Subversion to Git.Many Scripts have been developed and executed for pre-migration validation and migration preparation,which overcomes the problem of incomplete migration.Experimentation was conducted in SRLC Software Research Lab,Chicago,USA.During the migration process,in case of loss of network connection or due to any other reason,if migration stops or breaks,available migration tools do not have capabilities to start over from the same point where it left.Various Scripts have been developed and executed to keep the migration revision history in the cache(elastic cache)to start from the same point where it was left due to connection failure.During post-migration,none of the available version control migration tools generate a detailed report giving information about the total size of source Subversion repositories, the total volume of data migrated todestination repositories in Git, total number of pools migrated, time taken formigration, number of Subversion users with email notification, etc. VariousScripts have been developed and executed for the above purpose during thepost-migration process.展开更多
Sensors and physical activity evaluation are quite limited for motionbased commercial devices.Sometimes the accelerometer of the smartwatch is utilized;walking is investigated.The combination can perform better in ter...Sensors and physical activity evaluation are quite limited for motionbased commercial devices.Sometimes the accelerometer of the smartwatch is utilized;walking is investigated.The combination can perform better in terms of sensors and that can be determined by sensors on both the smartwatch and phones,i.e.,accelerometer and gyroscope.For biometric efficiency,some of the diverse activities of daily routine have been evaluated,also with biometric authentication.The result shows that using the different computing techniques in phones and watch for biometric can provide a suitable output based on the mentioned activities.This indicates that the high feasibility and results of continuous biometrics analysis in terms of average daily routine activities.In this research,the set of rules with the real-valued attributes are evolved with the use of a genetic algorithm.With the help of real value genes,the real value attributes cab be encoded,and presentation of new methods which are represents not to cares in the rules.The rule sets which help in maximizing the number of accurate classifications of inputs and supervise classifications are viewed as an optimization problem.The use of Pitt approach to the ML(Machine Learning)and Genetic based system that includes a resolution mechanism among rules that are competing within the same rule sets is utilized.This enhances the efficiency of the overall system,as shown in the research.展开更多
Low back pain(LBP)is a morbid condition that has afflicted several citizens in Europe.It has negatively impacted the European economy due to several man-days lost,with bed rest and forced inactivity being the usual LB...Low back pain(LBP)is a morbid condition that has afflicted several citizens in Europe.It has negatively impacted the European economy due to several man-days lost,with bed rest and forced inactivity being the usual LBP care and management steps.Direct models,which incorporate various regression analyses,have been executed for the investigation of this premise due to the simplicity of translation.However,such straight models fail to completely consider the impact of association brought about by a mix of nonlinear connections and autonomous factors.In this paper,we discuss a system that aids decision-making regarding the best-suited support system for LBP,allowing the individual to avail of reinforcement and improvement in its self-management.These activities are monitored with the help of a wearable sensor that helps in their detection and their classification as those that soothe or aggravate LBP and hence,should or should not be performed.This system helps the patients set their own boundaries and milestones with respect to suitable activities.This system also does windowing and feature extraction.The present study is an empirical and comparative analysis of the most suitable activities that patients suffering from low back pain can select.The evaluation shows that the system can distinguish between nine common daily activities effectively and helps self-monitor these activities for the efficient management of LBP.展开更多
文摘Cloud computing has drastically changed the delivery and consumption of live streaming content.The designs,challenges,and possible uses of cloud computing for live streaming are studied.A comprehensive overview of the technical and business issues surrounding cloudbased live streaming is provided,including the benefits of cloud computing,the various live streaming architectures,and the challenges that live streaming service providers face in delivering high‐quality,real‐time services.The different techniques used to improve the performance of video streaming,such as adaptive bit‐rate streaming,multicast distribution,and edge computing are discussed and the necessity of low‐latency and high‐quality video transmission in cloud‐based live streaming is underlined.Issues such as improving user experience and live streaming service performance using cutting‐edge technology,like artificial intelligence and machine learning are discussed.In addition,the legal and regulatory implications of cloud‐based live streaming,including issues with network neutrality,data privacy,and content moderation are addressed.The future of cloud computing for live streaming is examined in the section that follows,and it looks at the most likely new developments in terms of trends and technology.For technology vendors,live streaming service providers,and regulators,the findings have major policy‐relevant implications.Suggestions on how stakeholders should address these concerns and take advantage of the potential presented by this rapidly evolving sector,as well as insights into the key challenges and opportunities associated with cloud‐based live streaming are provided.
基金the Deanship of Scientific research at Majmaah University for the funding this work under Project No.(RGP-2019-26).
文摘Software development is getting a transition from centralized version control systems(CVCSs)like Subversion to decentralized version control systems(DVCDs)like Git due to lesser efficiency of former in terms of branching,fusion,time,space,merging,offline commits&builds and repository,etc.Git is having a share of 77%of total VCS,followed by Subversion with a share of 13.5%.The majority of software industries are getting a migration from Subversion to Git.Only a few migration tools are available in the software industry.Still,these too lack in many features like lack of identifying the empty directories as premigration check,failover capabilities during migration due to network failure or disk space issue,and detailed report generation as post-migration steps.In this work,a holistic,proactive and novel approach has been presented for pre/during/post-migration validation from Subversion to Git.Many scripts have been developed and executed run-time over various projects for overcoming the limitations of existing migration software tools for a Subversion to Git migration.During premigration,none of the available migration tools has the capability to fetch empty directories of Subversion,which results in an incomplete migration from Subversion to Git.Many Scripts have been developed and executed for pre-migration validation and migration preparation,which overcomes the problem of incomplete migration.Experimentation was conducted in SRLC Software Research Lab,Chicago,USA.During the migration process,in case of loss of network connection or due to any other reason,if migration stops or breaks,available migration tools do not have capabilities to start over from the same point where it left.Various Scripts have been developed and executed to keep the migration revision history in the cache(elastic cache)to start from the same point where it was left due to connection failure.During post-migration,none of the available version control migration tools generate a detailed report giving information about the total size of source Subversion repositories, the total volume of data migrated todestination repositories in Git, total number of pools migrated, time taken formigration, number of Subversion users with email notification, etc. VariousScripts have been developed and executed for the above purpose during thepost-migration process.
基金Deanship of Scientific Research at Majmaah University for supporting this work under Project Number No.RGP-2019-26.
文摘Sensors and physical activity evaluation are quite limited for motionbased commercial devices.Sometimes the accelerometer of the smartwatch is utilized;walking is investigated.The combination can perform better in terms of sensors and that can be determined by sensors on both the smartwatch and phones,i.e.,accelerometer and gyroscope.For biometric efficiency,some of the diverse activities of daily routine have been evaluated,also with biometric authentication.The result shows that using the different computing techniques in phones and watch for biometric can provide a suitable output based on the mentioned activities.This indicates that the high feasibility and results of continuous biometrics analysis in terms of average daily routine activities.In this research,the set of rules with the real-valued attributes are evolved with the use of a genetic algorithm.With the help of real value genes,the real value attributes cab be encoded,and presentation of new methods which are represents not to cares in the rules.The rule sets which help in maximizing the number of accurate classifications of inputs and supervise classifications are viewed as an optimization problem.The use of Pitt approach to the ML(Machine Learning)and Genetic based system that includes a resolution mechanism among rules that are competing within the same rule sets is utilized.This enhances the efficiency of the overall system,as shown in the research.
基金the Deanship of Scientific research atMajmaah University for funding this work under project No.RGP-2019-26.
文摘Low back pain(LBP)is a morbid condition that has afflicted several citizens in Europe.It has negatively impacted the European economy due to several man-days lost,with bed rest and forced inactivity being the usual LBP care and management steps.Direct models,which incorporate various regression analyses,have been executed for the investigation of this premise due to the simplicity of translation.However,such straight models fail to completely consider the impact of association brought about by a mix of nonlinear connections and autonomous factors.In this paper,we discuss a system that aids decision-making regarding the best-suited support system for LBP,allowing the individual to avail of reinforcement and improvement in its self-management.These activities are monitored with the help of a wearable sensor that helps in their detection and their classification as those that soothe or aggravate LBP and hence,should or should not be performed.This system helps the patients set their own boundaries and milestones with respect to suitable activities.This system also does windowing and feature extraction.The present study is an empirical and comparative analysis of the most suitable activities that patients suffering from low back pain can select.The evaluation shows that the system can distinguish between nine common daily activities effectively and helps self-monitor these activities for the efficient management of LBP.
