The design scheme of an agricultural expert system based on longan and cauliflower planting techniques is presented. Using an object-oriented design and a combination of the techniques in multimedia, database, expert ...The design scheme of an agricultural expert system based on longan and cauliflower planting techniques is presented. Using an object-oriented design and a combination of the techniques in multimedia, database, expert system and artificial intelligence, an in-depth analysis and summary are made of the knowledge features of die agricultural multimedia expert system and data models involved. According to the practical problems in agricultural field, the architectures and functions of the system are designed, and some design ideas about the hybrid knowledge representation and fuzzy reasoning are proposed.展开更多
In several countries,the ageing population contour focuses on high healthcare costs and overloaded health care environments.Pervasive health care monitoring system can be a potential alternative,especially in the COVI...In several countries,the ageing population contour focuses on high healthcare costs and overloaded health care environments.Pervasive health care monitoring system can be a potential alternative,especially in the COVID-19 pandemic situation to help mitigate such problems by encouraging healthcare to transition from hospital-centred services to self-care,mobile care and home care.In this aspect,we propose a pervasive system to monitor the COVID’19 patient’s conditions within the hospital and outside by monitoring their medical and psychological situation.It facilitates better healthcare assistance,especially for COVID’19 patients and quarantined people.It identies the patient’s medical and psychological condition based on the current context and activities using a fuzzy context-aware reasoning engine based model.Fuzzy reasoning engine makes decisions using linguistic rules based on inference mechanisms that support the patient condition identication.Linguistics rules are framed based on the fuzzy set attributes belong to different context types.The fuzzy semantic rules are used to identify the relationship among the attributes,and the reasoning engine is used to ensure precise real-time context interpretation and current evaluation of the situation.Outcomes are measured using a fuzzy logic-based context reasoning system under simulation.The results indicate the usefulness of monitoring the COVID’19 patients based on the current context.展开更多
鱼病诊断过程中存在大量的Fuzzy性问题,通过对三I算法的分析,提出一个基于RM蕴涵算子的三I算法,并就FMP(fuzzy modus pronens)问题,运用该算法,研究基于多维,多重以及多维多重规则时的解。该算法在研究鱼病诊断系统的过程中结合鱼病专...鱼病诊断过程中存在大量的Fuzzy性问题,通过对三I算法的分析,提出一个基于RM蕴涵算子的三I算法,并就FMP(fuzzy modus pronens)问题,运用该算法,研究基于多维,多重以及多维多重规则时的解。该算法在研究鱼病诊断系统的过程中结合鱼病专家知识库,提取出鱼病诊断规则,抽象出鱼病诊断Fuzzy推理的一般性模型,并给出了基于该模型的算法,在该算法中,应用的Fuzzy推理是基于RM算子的三I算法。展开更多
It is becoming an important social problem to make maintenance and rehabilitation of existing infrastructures such as bridges, buildings, etc. in the world. The kernel of such structure management is to develop a meth...It is becoming an important social problem to make maintenance and rehabilitation of existing infrastructures such as bridges, buildings, etc. in the world. The kernel of such structure management is to develop a method of safety assessment on items<span style="font-family:;" "=""> </span><span style="font-family:;" "="">which include remaining life and load carrying capacity. The purpose of this paper is to summarize the finding of up-to-date research articles concerning the application of knowledge-based systems to assessment and management of structures and to illustrate the potential of such systems in the structural engineering. In here, knowledge-based systems include knowledge-based expert systems incorporation with artificial neural networks, fuzzy reasoning and genetic or immune algorithms.</span><span style="font-family:;" "=""> </span><span style="font-family:;" "="">Specifically, two modern bridge management systems (BMS’s) are presented in the paper. The first is a BMS to assess the performance and derive optimal strategies for inspection and maintenance of concrete bridge structures using reliability based and knowledge-based systems. The second is the concrete bridge rating expert system (<i>J-BMS BREX</i>) to evaluate the performance of existing bridges by incorporating with artificial neural networks and fuzzy reasoning.</span>展开更多
有源电力滤波器(active power filter,APF)的控制方法是决定其补偿性能的关键因素之一。该文基于单相APF的Euler-Lagrange(EL)系统状态平均模型,提出了一种无源性控制新方法。该方法首先基于替代定理建立了考虑源阻抗和非线性负荷影响...有源电力滤波器(active power filter,APF)的控制方法是决定其补偿性能的关键因素之一。该文基于单相APF的Euler-Lagrange(EL)系统状态平均模型,提出了一种无源性控制新方法。该方法首先基于替代定理建立了考虑源阻抗和非线性负荷影响的单相APFEL系统状态平均模型,在此基础上设计了无源性间接控制律,确保对单相APF控制目标的渐近跟踪。由于在线计算直流电容指令电压波动量十分困难,在控制方法的执行中忽略波动量的影响,简化了控制方法的实现;此外,该方法还研究了所注入的阻尼大小对控制效果的影响以及APF内层控制过调制产生的原因,针对无源性控制律跟踪精度的要求与内层控制过调制限幅条件间的矛盾,通过构造模糊逻辑推理环节实现阻尼系数的在线调整,在满足内层控制限幅条件下确保跟踪精度和补偿效果。仿真结果验证了所提出方法的正确性和有效性。展开更多
基金Supported by the National Natural Science Foundation of China (No. 700400D1).
文摘The design scheme of an agricultural expert system based on longan and cauliflower planting techniques is presented. Using an object-oriented design and a combination of the techniques in multimedia, database, expert system and artificial intelligence, an in-depth analysis and summary are made of the knowledge features of die agricultural multimedia expert system and data models involved. According to the practical problems in agricultural field, the architectures and functions of the system are designed, and some design ideas about the hybrid knowledge representation and fuzzy reasoning are proposed.
基金funding by the University of Malta’s Internal Research Grants。
文摘In several countries,the ageing population contour focuses on high healthcare costs and overloaded health care environments.Pervasive health care monitoring system can be a potential alternative,especially in the COVID-19 pandemic situation to help mitigate such problems by encouraging healthcare to transition from hospital-centred services to self-care,mobile care and home care.In this aspect,we propose a pervasive system to monitor the COVID’19 patient’s conditions within the hospital and outside by monitoring their medical and psychological situation.It facilitates better healthcare assistance,especially for COVID’19 patients and quarantined people.It identies the patient’s medical and psychological condition based on the current context and activities using a fuzzy context-aware reasoning engine based model.Fuzzy reasoning engine makes decisions using linguistic rules based on inference mechanisms that support the patient condition identication.Linguistics rules are framed based on the fuzzy set attributes belong to different context types.The fuzzy semantic rules are used to identify the relationship among the attributes,and the reasoning engine is used to ensure precise real-time context interpretation and current evaluation of the situation.Outcomes are measured using a fuzzy logic-based context reasoning system under simulation.The results indicate the usefulness of monitoring the COVID’19 patients based on the current context.
文摘鱼病诊断过程中存在大量的Fuzzy性问题,通过对三I算法的分析,提出一个基于RM蕴涵算子的三I算法,并就FMP(fuzzy modus pronens)问题,运用该算法,研究基于多维,多重以及多维多重规则时的解。该算法在研究鱼病诊断系统的过程中结合鱼病专家知识库,提取出鱼病诊断规则,抽象出鱼病诊断Fuzzy推理的一般性模型,并给出了基于该模型的算法,在该算法中,应用的Fuzzy推理是基于RM算子的三I算法。
文摘It is becoming an important social problem to make maintenance and rehabilitation of existing infrastructures such as bridges, buildings, etc. in the world. The kernel of such structure management is to develop a method of safety assessment on items<span style="font-family:;" "=""> </span><span style="font-family:;" "="">which include remaining life and load carrying capacity. The purpose of this paper is to summarize the finding of up-to-date research articles concerning the application of knowledge-based systems to assessment and management of structures and to illustrate the potential of such systems in the structural engineering. In here, knowledge-based systems include knowledge-based expert systems incorporation with artificial neural networks, fuzzy reasoning and genetic or immune algorithms.</span><span style="font-family:;" "=""> </span><span style="font-family:;" "="">Specifically, two modern bridge management systems (BMS’s) are presented in the paper. The first is a BMS to assess the performance and derive optimal strategies for inspection and maintenance of concrete bridge structures using reliability based and knowledge-based systems. The second is the concrete bridge rating expert system (<i>J-BMS BREX</i>) to evaluate the performance of existing bridges by incorporating with artificial neural networks and fuzzy reasoning.</span>
文摘有源电力滤波器(active power filter,APF)的控制方法是决定其补偿性能的关键因素之一。该文基于单相APF的Euler-Lagrange(EL)系统状态平均模型,提出了一种无源性控制新方法。该方法首先基于替代定理建立了考虑源阻抗和非线性负荷影响的单相APFEL系统状态平均模型,在此基础上设计了无源性间接控制律,确保对单相APF控制目标的渐近跟踪。由于在线计算直流电容指令电压波动量十分困难,在控制方法的执行中忽略波动量的影响,简化了控制方法的实现;此外,该方法还研究了所注入的阻尼大小对控制效果的影响以及APF内层控制过调制产生的原因,针对无源性控制律跟踪精度的要求与内层控制过调制限幅条件间的矛盾,通过构造模糊逻辑推理环节实现阻尼系数的在线调整,在满足内层控制限幅条件下确保跟踪精度和补偿效果。仿真结果验证了所提出方法的正确性和有效性。
