The advent of the age of Information shifts the environment we live in from off-line to on-line. The prospect of Collective Intelligence (CI) is promising. Based on this background, the aim of this paper is to discove...The advent of the age of Information shifts the environment we live in from off-line to on-line. The prospect of Collective Intelligence (CI) is promising. Based on this background, the aim of this paper is to discover the emergence mechanism and influence factors of CI in knowledge communities using the method of quantitative and qualitative analysis. On the basis of the previous research work, our model theorizes that the two dimensions of social network (i.e., interactive network structure and participant’s characteristics) affect two references of effectiveness (i.e. group knowledge production and participation of group decision). And this hypothetical model is validated with simulation data from “Zhihu” community. Our model has been useful since it offers some inspirations and directions to promote the level of CI in knowledge communities.展开更多
Our living environments are being gradually occupied with an abundant number of digital objects that have networking and computing capabilities. After these devices are plugged into a network, they initially advertise...Our living environments are being gradually occupied with an abundant number of digital objects that have networking and computing capabilities. After these devices are plugged into a network, they initially advertise their presence and capabilities in the form of services so that they can be discovered and, if desired, exploited by the user or other networked devices. With the increasing number of these devices attached to the network, the complexity to configure and control them increases, which may lead to major processing and communication overhead. Hence, the devices are no longer expected to just act as primitive stand-alone appliances that only provide the facilities and services to the user they are designed for, but also offer complex services that emerge from unique combinations of devices. This creates the necessity for these devices to be equipped with some sort of intelligence and self-awareness to enable them to be self-configuring and self-programming. However, with this ＂smart evolution＂, the cognitive load to configure and control such spaces becomes immense. One way to relieve this load is by employing artificial intelligence （AI） techniques to create an intelligent ＂presence＂ where the system will be able to recognize the users and autonomously program the environment to be energy efficient and responsive to the user＇s needs and behaviours. These AI mechanisms should be embedded in the user＇s environments and should operate in a non-intrusive manner. This paper will show how computational intelligence （CI）, which is an emerging domain of AI, could be employed and embedded in our living spaces to help such environments to be more energy efficient, intelligent, adaptive and convenient to the users.展开更多
The lasting evolution of computing environment, software engineering and interaction methods leads to cloud computing. Cloud computing changes the configuration mode of resources on the Internet and all kinds of resou...The lasting evolution of computing environment, software engineering and interaction methods leads to cloud computing. Cloud computing changes the configuration mode of resources on the Internet and all kinds of resources are virtualized and provided as services. Mass participation and online interaction with social annotations become usual in human daily life. People who own similar interests on the Internet may cluster naturally into scalable and boundless communities and collective intelligence will emerge. Human is taken as an intelligent computing factor, and uncertainty becomes a basic property in cloud computing. Virtualization, soft computing and granular computing will become essential features of cloud computing. Compared with the engineering technological problems of IaaS (Infrastructure as a service), PaaS (Platform as a Service) and SaaS (Software as a Service), collective intelligence and uncertain knowledge representation will be more important frontiers in cloud computing for researchers within the community of intelligence science.展开更多
In recent times,sixth generation(6G)communication technologies have become a hot research topic because of maximum throughput and low delay services for mobile users.It encompasses several heterogeneous resource and c...In recent times,sixth generation(6G)communication technologies have become a hot research topic because of maximum throughput and low delay services for mobile users.It encompasses several heterogeneous resource and communication standard in ensuring incessant availability of service.At the same time,the development of 6G enables the Unmanned Aerial Vehicles(UAVs)in offering cost and time-efficient solution to several applications like healthcare,surveillance,disaster management,etc.In UAV networks,energy efficiency and data collection are considered the major process for high quality network communication.But these procedures are found to be challenging because of maximum mobility,unstable links,dynamic topology,and energy restricted UAVs.These issues are solved by the use of artificial intelligence(AI)and energy efficient clustering techniques for UAVs in the 6G environment.With this inspiration,this work designs an artificial intelligence enabled cooperative cluster-based data collection technique for unmanned aerial vehicles(AECCDC-UAV)in 6G environment.The proposed AECCDC-UAV technique purposes for dividing the UAV network as to different clusters and allocate a cluster head(CH)to each cluster in such a way that the energy consumption(ECM)gets minimized.The presented AECCDC-UAV technique involves a quasi-oppositional shuffled shepherd optimization(QOSSO)algorithm for selecting the CHs and construct clusters.The QOSSO algorithm derives a fitness function involving three input parameters residual energy of UAVs,distance to neighboring UAVs,and degree of UAVs.The performance of the AECCDC-UAV technique is validated in many aspects and the obtained experimental values demonstration promising results over the recent state of art methods.展开更多
Through investigating intelligent diagnosis method of Computational Intelligence (CI) and studying its application in fault feature extraction, a gear fault detection and Virtual Instrument Diagnostic System is develo...Through investigating intelligent diagnosis method of Computational Intelligence (CI) and studying its application in fault feature extraction, a gear fault detection and Virtual Instrument Diagnostic System is developed by using the two hybrid programming method which combines both advantages of VC++ and MATLAB. The interface is designed by VC++ and the calculation of test data, signal processing and graphical display are completed by MATLAB. The pro-gram converted from M-file to VC++ is completed by interface software, and a various multi-functional gear fault di-agnosis software system is successfully obtained. The software system, which has many functions including the intro-duction of gear vibration signals, signal processing, graphical display, fault detection and diagnosis, monitoring and so on, especially, the ability of diagnosing gear faults. The method has an important application in the field of mechanical fault diagnosis.展开更多
An influence game is a simple game represented over an influence graph(i.e.,a labeled,weighted graph)on which the influence spread phenomenon is exerted.Influence games allow applying different properties and paramete...An influence game is a simple game represented over an influence graph(i.e.,a labeled,weighted graph)on which the influence spread phenomenon is exerted.Influence games allow applying different properties and parameters coming from cooperative game theory to the contexts of social network analysis,decision-systems,voting systems,and collective behavior.The exact calculation of several of these properties and parameters is computationally hard,even for a small number of players.Two examples of these parameters are the length and the width of a game.The length of a game is the size of its smaller winning coalition,while the width of a game is the size of its larger losing coalition.Both parameters are relevant to know the levels of difficulty in reaching agreements in collective decision-making systems.Despite the above,new bio-inspired metaheuristic algorithms have recently been developed to solve the NP-hard influence maximization problem in an efficient and approximate way,being able to find small winning coalitions that maximize the influence spread within an influence graph.In this article,we apply some variations of this solution to find extreme winning and losing coalitions,and thus efficient approximate solutions for the length and the width of influence games.As a case study,we consider two real social networks,one formed by the 58 members of the European Union Council under nice voting rules,and the other formed by the 705 members of the European Parliament,connected by political affinity.Results are promising and show that it is feasible to generate approximate solutions for the length and width parameters of influence games,in reduced solving time.展开更多
This paper first analyzes the current status of sponge city construction at home and abroad,and combines the actual construction of sponge cities at home and abroad to study and explore its problems in engineering con...This paper first analyzes the current status of sponge city construction at home and abroad,and combines the actual construction of sponge cities at home and abroad to study and explore its problems in engineering construction.Based on the principle of sustainable development,using TRIZ theory and related engineering theories to further explore the high-efficiency collection of rainwater and highefficiency comprehensive utilization,and combine the concept of smart city with the practice of sponge city construction to create a new type of sponge city rainwater recycling process system.This method and means of exploring and solving problems is the only way to further develop the construction of sponge cities,and it is also the general law of social development to provide exploratory reference for the construction and development of the sponge city.展开更多
The discipline of business intelligence addresses a broad range of functional activities from data mining and statistical analysis to predictive modeling and reporting, and customer intelligence is the actionable outp...The discipline of business intelligence addresses a broad range of functional activities from data mining and statistical analysis to predictive modeling and reporting, and customer intelligence is the actionable output from an intelligence eco-system. In order to focus enterprise's attention on their customers satisfaction in the customer relationship management and make CRM system run more efficiently, a new concept of customer intelligence engine(CIE) is proposed at first time in the paper, the architecture of CIE is structured, the trigger of CIE is defined and described, the CIE-based CRM eco-system is also discussed.展开更多
Through long-term observations and repeated practices of human body structure,anatomical knowledge in ancient China has gradually developed from the sprouting period when ancient Chinese hunted animals for survival,to...Through long-term observations and repeated practices of human body structure,anatomical knowledge in ancient China has gradually developed from the sprouting period when ancient Chinese hunted animals for survival,to anatomical exploration,which breaks the shackles of fear and religious rites.For example,Hua Tuo(华佗),a famous doctor in the period of The Three Kingdoms,did exquisite abdominal surgery;Yan Luozi(烟萝子),a Taoist priest in the period of The Five Dynasties,drew a map of human anatomy;Wang Weiyi(王唯一),a medical official in Northern Song dynasty,was responsible for casting acupuncture bronze figures,an anatomical mold for practicing acupuncture;Song Ci(宋慈),a forensic expert in Southern Song Dynasty,wrote Xi Yuan Ji Lu(《洗冤集录》Collected Cases of Injustice Rectified);Wang Qingren(王清任),a physician in Qing Dynasty wrote Yi Lin Gai Cuo(《医林改错》Correction on Errors in Medical Works).Ancient Chinese anatomy is far ahead of Western anatomy in understanding and describing human body structures.It has made great contributions to the emergence of Huang Di Nei Jing(《黄帝内经》Huangdi's Internal Classic)and laid a solid foundation for the establishment of visceral manifestation theory and meridian and collateral theory.Even now,it has served the basic theory of traditional Chinese medicine and clinical practices.Anatomical knowledges,such as relevant operation records,books,Atlas,models in ancient China,especially the names of Zangorgan and Fu-organ,bones and five sense organs,are still used in modern anatomy and modern medicine,making indelible contributions to the development of modern anatomy in China.展开更多
文摘The advent of the age of Information shifts the environment we live in from off-line to on-line. The prospect of Collective Intelligence (CI) is promising. Based on this background, the aim of this paper is to discover the emergence mechanism and influence factors of CI in knowledge communities using the method of quantitative and qualitative analysis. On the basis of the previous research work, our model theorizes that the two dimensions of social network (i.e., interactive network structure and participant’s characteristics) affect two references of effectiveness (i.e. group knowledge production and participation of group decision). And this hypothetical model is validated with simulation data from “Zhihu” community. Our model has been useful since it offers some inspirations and directions to promote the level of CI in knowledge communities.
文摘Our living environments are being gradually occupied with an abundant number of digital objects that have networking and computing capabilities. After these devices are plugged into a network, they initially advertise their presence and capabilities in the form of services so that they can be discovered and, if desired, exploited by the user or other networked devices. With the increasing number of these devices attached to the network, the complexity to configure and control them increases, which may lead to major processing and communication overhead. Hence, the devices are no longer expected to just act as primitive stand-alone appliances that only provide the facilities and services to the user they are designed for, but also offer complex services that emerge from unique combinations of devices. This creates the necessity for these devices to be equipped with some sort of intelligence and self-awareness to enable them to be self-configuring and self-programming. However, with this ＂smart evolution＂, the cognitive load to configure and control such spaces becomes immense. One way to relieve this load is by employing artificial intelligence （AI） techniques to create an intelligent ＂presence＂ where the system will be able to recognize the users and autonomously program the environment to be energy efficient and responsive to the user＇s needs and behaviours. These AI mechanisms should be embedded in the user＇s environments and should operate in a non-intrusive manner. This paper will show how computational intelligence （CI）, which is an emerging domain of AI, could be employed and embedded in our living spaces to help such environments to be more energy efficient, intelligent, adaptive and convenient to the users.
基金supported by National Key Basic Research Program of China (973 Program) under Grant No.2007CB310804China Post-doctoral Science Foundation under Grants No.20090460107, 201003794
文摘The lasting evolution of computing environment, software engineering and interaction methods leads to cloud computing. Cloud computing changes the configuration mode of resources on the Internet and all kinds of resources are virtualized and provided as services. Mass participation and online interaction with social annotations become usual in human daily life. People who own similar interests on the Internet may cluster naturally into scalable and boundless communities and collective intelligence will emerge. Human is taken as an intelligent computing factor, and uncertainty becomes a basic property in cloud computing. Virtualization, soft computing and granular computing will become essential features of cloud computing. Compared with the engineering technological problems of IaaS (Infrastructure as a service), PaaS (Platform as a Service) and SaaS (Software as a Service), collective intelligence and uncertain knowledge representation will be more important frontiers in cloud computing for researchers within the community of intelligence science.
基金This work was supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.2021R1F1A1063319).
文摘In recent times,sixth generation(6G)communication technologies have become a hot research topic because of maximum throughput and low delay services for mobile users.It encompasses several heterogeneous resource and communication standard in ensuring incessant availability of service.At the same time,the development of 6G enables the Unmanned Aerial Vehicles(UAVs)in offering cost and time-efficient solution to several applications like healthcare,surveillance,disaster management,etc.In UAV networks,energy efficiency and data collection are considered the major process for high quality network communication.But these procedures are found to be challenging because of maximum mobility,unstable links,dynamic topology,and energy restricted UAVs.These issues are solved by the use of artificial intelligence(AI)and energy efficient clustering techniques for UAVs in the 6G environment.With this inspiration,this work designs an artificial intelligence enabled cooperative cluster-based data collection technique for unmanned aerial vehicles(AECCDC-UAV)in 6G environment.The proposed AECCDC-UAV technique purposes for dividing the UAV network as to different clusters and allocate a cluster head(CH)to each cluster in such a way that the energy consumption(ECM)gets minimized.The presented AECCDC-UAV technique involves a quasi-oppositional shuffled shepherd optimization(QOSSO)algorithm for selecting the CHs and construct clusters.The QOSSO algorithm derives a fitness function involving three input parameters residual energy of UAVs,distance to neighboring UAVs,and degree of UAVs.The performance of the AECCDC-UAV technique is validated in many aspects and the obtained experimental values demonstration promising results over the recent state of art methods.
文摘Through investigating intelligent diagnosis method of Computational Intelligence (CI) and studying its application in fault feature extraction, a gear fault detection and Virtual Instrument Diagnostic System is developed by using the two hybrid programming method which combines both advantages of VC++ and MATLAB. The interface is designed by VC++ and the calculation of test data, signal processing and graphical display are completed by MATLAB. The pro-gram converted from M-file to VC++ is completed by interface software, and a various multi-functional gear fault di-agnosis software system is successfully obtained. The software system, which has many functions including the intro-duction of gear vibration signals, signal processing, graphical display, fault detection and diagnosis, monitoring and so on, especially, the ability of diagnosing gear faults. The method has an important application in the field of mechanical fault diagnosis.
基金F.Riquelme has been partially supported by Fondecyt de Iniciación 11200113,Chile,and by the SEGIB scholarship of Fundación Carolina,SpainX.Molinero under grants PID2019-104987GB-I00(JUVOCO)M.Serna under grants PID2020-112581GB-C21(MOTION)and 2017-SGR-786(ALBCOM).
文摘An influence game is a simple game represented over an influence graph(i.e.,a labeled,weighted graph)on which the influence spread phenomenon is exerted.Influence games allow applying different properties and parameters coming from cooperative game theory to the contexts of social network analysis,decision-systems,voting systems,and collective behavior.The exact calculation of several of these properties and parameters is computationally hard,even for a small number of players.Two examples of these parameters are the length and the width of a game.The length of a game is the size of its smaller winning coalition,while the width of a game is the size of its larger losing coalition.Both parameters are relevant to know the levels of difficulty in reaching agreements in collective decision-making systems.Despite the above,new bio-inspired metaheuristic algorithms have recently been developed to solve the NP-hard influence maximization problem in an efficient and approximate way,being able to find small winning coalitions that maximize the influence spread within an influence graph.In this article,we apply some variations of this solution to find extreme winning and losing coalitions,and thus efficient approximate solutions for the length and the width of influence games.As a case study,we consider two real social networks,one formed by the 58 members of the European Union Council under nice voting rules,and the other formed by the 705 members of the European Parliament,connected by political affinity.Results are promising and show that it is feasible to generate approximate solutions for the length and width parameters of influence games,in reduced solving time.
文摘This paper first analyzes the current status of sponge city construction at home and abroad,and combines the actual construction of sponge cities at home and abroad to study and explore its problems in engineering construction.Based on the principle of sustainable development,using TRIZ theory and related engineering theories to further explore the high-efficiency collection of rainwater and highefficiency comprehensive utilization,and combine the concept of smart city with the practice of sponge city construction to create a new type of sponge city rainwater recycling process system.This method and means of exploring and solving problems is the only way to further develop the construction of sponge cities,and it is also the general law of social development to provide exploratory reference for the construction and development of the sponge city.
基金Supported by the Special Scientific Research Fund for Doctoral Education Base of Higher School (20030614011)National Science Fund of Excellent Youth (79725002)
文摘The discipline of business intelligence addresses a broad range of functional activities from data mining and statistical analysis to predictive modeling and reporting, and customer intelligence is the actionable output from an intelligence eco-system. In order to focus enterprise's attention on their customers satisfaction in the customer relationship management and make CRM system run more efficiently, a new concept of customer intelligence engine(CIE) is proposed at first time in the paper, the architecture of CIE is structured, the trigger of CIE is defined and described, the CIE-based CRM eco-system is also discussed.
文摘Through long-term observations and repeated practices of human body structure,anatomical knowledge in ancient China has gradually developed from the sprouting period when ancient Chinese hunted animals for survival,to anatomical exploration,which breaks the shackles of fear and religious rites.For example,Hua Tuo(华佗),a famous doctor in the period of The Three Kingdoms,did exquisite abdominal surgery;Yan Luozi(烟萝子),a Taoist priest in the period of The Five Dynasties,drew a map of human anatomy;Wang Weiyi(王唯一),a medical official in Northern Song dynasty,was responsible for casting acupuncture bronze figures,an anatomical mold for practicing acupuncture;Song Ci(宋慈),a forensic expert in Southern Song Dynasty,wrote Xi Yuan Ji Lu(《洗冤集录》Collected Cases of Injustice Rectified);Wang Qingren(王清任),a physician in Qing Dynasty wrote Yi Lin Gai Cuo(《医林改错》Correction on Errors in Medical Works).Ancient Chinese anatomy is far ahead of Western anatomy in understanding and describing human body structures.It has made great contributions to the emergence of Huang Di Nei Jing(《黄帝内经》Huangdi's Internal Classic)and laid a solid foundation for the establishment of visceral manifestation theory and meridian and collateral theory.Even now,it has served the basic theory of traditional Chinese medicine and clinical practices.Anatomical knowledges,such as relevant operation records,books,Atlas,models in ancient China,especially the names of Zangorgan and Fu-organ,bones and five sense organs,are still used in modern anatomy and modern medicine,making indelible contributions to the development of modern anatomy in China.
