Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical ...Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical methods for anomalous cell detection cannot adapt to the evolution of networks, and data mining becomes the mainstream. In this paper, we propose a novel kernel density-based local outlier factor(KLOF) to assign a degree of being an outlier to each object. Firstly, the notion of KLOF is introduced, which captures exactly the relative degree of isolation. Then, by analyzing its properties, including the tightness of upper and lower bounds, sensitivity of density perturbation, we find that KLOF is much greater than 1 for outliers. Lastly, KLOFis applied on a real-world dataset to detect anomalous cells with abnormal key performance indicators(KPIs) to verify its reliability. The experiment shows that KLOF can find outliers efficiently. It can be a guideline for the operators to perform faster and more efficient trouble shooting.展开更多
This paper builds a self-adaptive management process in the power system dispatching area, aiming to effectively monitor the grid operation, dynamically adjust control strategy, optimize working process and ensure the...This paper builds a self-adaptive management process in the power system dispatching area, aiming to effectively monitor the grid operation, dynamically adjust control strategy, optimize working process and ensure the continuous improvement of operational performance. By building a negative feedback and dynamic balanced management mechanism, ECPRCB （East China Power Regulation Center Branch） is able to keenly sense the internal and external changes, efficiently coordinate all kinds of resources and improve the operational performance. As a result, self-adaptive management effectively boosts ECPRCB to reach the goal of being a world-class dispatching center with high operational performance, competent internal operation, adequate resources support and strong growth motion.展开更多
The presence of sub-standard ships has been a long-standing concern in the maritime domain and a slew of measures are implemented to tide over the problem.Measurement is a key to verifying the success of measures adop...The presence of sub-standard ships has been a long-standing concern in the maritime domain and a slew of measures are implemented to tide over the problem.Measurement is a key to verifying the success of measures adopted to enhance maritime safety and protect the marine environment.While there is an abundance of literature based on Port State Control inspections it is argued that in addition to the prevailing indicators of flag State performance deeper insights are to be gained by exploring indicators in other areas such as findings of IMO member State audits.This paper proposes simple and intuitive indicators in conjunction with existing indicators to identify trends in flag State performance and explores application of the indicators to a select set of member States in Latin-America region.The paper concludes that the proposed indicators have the potential for global application.展开更多
Critical infrastructures(CIs)embody cyber-physical-social systems(CPSSs)where physical entities are integrated with cyber components,shaping service delivery through end-user behavior.The seamless operation of CIs is ...Critical infrastructures(CIs)embody cyber-physical-social systems(CPSSs)where physical entities are integrated with cyber components,shaping service delivery through end-user behavior.The seamless operation of CIs is vital for society,and the CPSS resilience relies on interdependencies with AI-integrated technologies.The complexity of the system,and the interconnections with other infrastructures,along with the socio-technical transition towards digitization raised the necessity of implementing Resilience Engineering.This motivates exploration of the scientific literature on resilience key performance indicators(R-KPIs)which support strategies for ensuring service continuity.Therefore,this article aims to identify R-KPIs for AI-integrated CIs and prioritize the extracted R-KPIs using a hybrid Multi-Criteria Decision-Making(MCDM)approach.The results show the importance of employing R-KPIs that measure risk probability,energy self-sufficiency level of the system under study,and performance indicators including functionality loss,recovery time,and minimum performance level after disturbance as the most effective R-KPIs in the domain of this study.After identifying and prioritizing the R-KPIs,a general framework is proposed to employ these R-KPIs in modeling the resilience of a CPS.Finally,a case study demonstrates the implementation of the framework and KPIs in a real-life scenario.展开更多
The sixth generation(6G)mobile network is envisaged to be commercially deployed around 2030,which will profoundly change people's lifestyles and accelerate the digitalization of society.To ensure that the requirem...The sixth generation(6G)mobile network is envisaged to be commercially deployed around 2030,which will profoundly change people's lifestyles and accelerate the digitalization of society.To ensure that the requirements of 6G can be achieved,it is essential to establish a set of key performance indicators(KPIs).This paper comprehensively assesses the KPIs not only from the service requirements but also from the technical feasibility points of view.Specifically,theoretical derivations of KPIs have been clarified,and numerical evaluations have been conducted with reasonable technical assumptions.Evaluation results show that some KPIs defined from the service requirements can be improved through advanced technologies while some are still challenging for practical implementations,such as Tbps-level peak data rate and 0.1 ms user plane latency.In addition,it is also necessary to comply with multiple KPIs for some cases.Furthermore,based on the technical analysis,the potential enabling technologies are outlined and foreseeable implementation challenges as well as possible solutions are presented,which promotes a more reasonable design for 6G mobile network.展开更多
基金supported by the National Basic Research Program of China (973 Program: 2013CB329004)
文摘Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical methods for anomalous cell detection cannot adapt to the evolution of networks, and data mining becomes the mainstream. In this paper, we propose a novel kernel density-based local outlier factor(KLOF) to assign a degree of being an outlier to each object. Firstly, the notion of KLOF is introduced, which captures exactly the relative degree of isolation. Then, by analyzing its properties, including the tightness of upper and lower bounds, sensitivity of density perturbation, we find that KLOF is much greater than 1 for outliers. Lastly, KLOFis applied on a real-world dataset to detect anomalous cells with abnormal key performance indicators(KPIs) to verify its reliability. The experiment shows that KLOF can find outliers efficiently. It can be a guideline for the operators to perform faster and more efficient trouble shooting.
文摘This paper builds a self-adaptive management process in the power system dispatching area, aiming to effectively monitor the grid operation, dynamically adjust control strategy, optimize working process and ensure the continuous improvement of operational performance. By building a negative feedback and dynamic balanced management mechanism, ECPRCB （East China Power Regulation Center Branch） is able to keenly sense the internal and external changes, efficiently coordinate all kinds of resources and improve the operational performance. As a result, self-adaptive management effectively boosts ECPRCB to reach the goal of being a world-class dispatching center with high operational performance, competent internal operation, adequate resources support and strong growth motion.
文摘The presence of sub-standard ships has been a long-standing concern in the maritime domain and a slew of measures are implemented to tide over the problem.Measurement is a key to verifying the success of measures adopted to enhance maritime safety and protect the marine environment.While there is an abundance of literature based on Port State Control inspections it is argued that in addition to the prevailing indicators of flag State performance deeper insights are to be gained by exploring indicators in other areas such as findings of IMO member State audits.This paper proposes simple and intuitive indicators in conjunction with existing indicators to identify trends in flag State performance and explores application of the indicators to a select set of member States in Latin-America region.The paper concludes that the proposed indicators have the potential for global application.
文摘Critical infrastructures(CIs)embody cyber-physical-social systems(CPSSs)where physical entities are integrated with cyber components,shaping service delivery through end-user behavior.The seamless operation of CIs is vital for society,and the CPSS resilience relies on interdependencies with AI-integrated technologies.The complexity of the system,and the interconnections with other infrastructures,along with the socio-technical transition towards digitization raised the necessity of implementing Resilience Engineering.This motivates exploration of the scientific literature on resilience key performance indicators(R-KPIs)which support strategies for ensuring service continuity.Therefore,this article aims to identify R-KPIs for AI-integrated CIs and prioritize the extracted R-KPIs using a hybrid Multi-Criteria Decision-Making(MCDM)approach.The results show the importance of employing R-KPIs that measure risk probability,energy self-sufficiency level of the system under study,and performance indicators including functionality loss,recovery time,and minimum performance level after disturbance as the most effective R-KPIs in the domain of this study.After identifying and prioritizing the R-KPIs,a general framework is proposed to employ these R-KPIs in modeling the resilience of a CPS.Finally,a case study demonstrates the implementation of the framework and KPIs in a real-life scenario.
文摘The sixth generation(6G)mobile network is envisaged to be commercially deployed around 2030,which will profoundly change people's lifestyles and accelerate the digitalization of society.To ensure that the requirements of 6G can be achieved,it is essential to establish a set of key performance indicators(KPIs).This paper comprehensively assesses the KPIs not only from the service requirements but also from the technical feasibility points of view.Specifically,theoretical derivations of KPIs have been clarified,and numerical evaluations have been conducted with reasonable technical assumptions.Evaluation results show that some KPIs defined from the service requirements can be improved through advanced technologies while some are still challenging for practical implementations,such as Tbps-level peak data rate and 0.1 ms user plane latency.In addition,it is also necessary to comply with multiple KPIs for some cases.Furthermore,based on the technical analysis,the potential enabling technologies are outlined and foreseeable implementation challenges as well as possible solutions are presented,which promotes a more reasonable design for 6G mobile network.
