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Integrate inconsistent and heterogeneous data based on user feedback

International Journal of Intelligent Computing and cybernetics 2015年第2期8卷 187-203页

作者： Lihua Lu Hengzhen Zhang Xiao-Zhi Gao School of Computer Science Fudan UniversityShanghaiP.R.China College of Mathematics and Information Science Zhengzhou University of Light IndustryHenanP.R.China College of Information Engineering Shanghai Maritime UniversityShanghaiP.R.China department of Electrical Engineering and Automation School of Electrical EngineeringAalto UniversityAaltoFinland

Purpose–Data integration is to combine data residing at different sources and to provide the users with a unified interface of these *** important issue on data integration is the existence of conflicts among the different data *** sources may conflict with each other at data level,which is defined as data *** purpose of this paper is to aim at this problem and propose a solution for data inconsistency in data ***/methodology/approach–A relational data model extended with data source quality criteria is first *** based on the proposed data model,a data inconsistency solution strategy is *** accomplish the strategy,fuzzy multi-attribute decision-making(MADM)approach based on data source quality criteria is applied to obtain the ***,users feedbacks strategies are proposed to optimize the result of fuzzy MADM approach as the final data inconsistent ***–To evaluate the proposed method,the data obtained from the sensors are *** experiments are designed and performed to explain the effectiveness of the proposed *** results substantiate that the solution has a better performance than the other methods on correctness,time cost and stability *** implications–Since the inconsistent data collected from the sensors are pervasive,the proposed method can solve this problem and correct the wrong choice to some ***/value–In this paper,for the first time the authors study the effect of users feedbacks on integration results aiming at the inconsistent data.

关键词： Decision making Data fusion Data inconsistency Data integration User feedback

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Dynamic simulating model of the field resources utilizing system

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Chinese Business Review 2007年第4期6卷 29-34页

作者： CUI He-rui ZHAI Gai-hua College of Economics and Trade Agricultural University of Hebei Baoding 071001 China department of Economics and Management North China Electric Power University Baoding 071003 China

In views of system theory, information theory and cybernetics, this paper utilizes the method of the system dynamics to create the field resources utilizing system main diagram of causation and system dynamic following diagram, uses the Dynamo computer language to construct the dynamic emulating model, and with the help of computer, completes the computer dynamic simulating of the field resources utilizing system. This paper utilizes the method of AHP （analytical hierarchy process） to seek for the most excellent program of Nanpi County＇s field resources utilizing structure. So we can provide scientific basis for leaders to make scientific management and strategic decision and the limited field resources will bring out the most benefit for society, economics and ecological.

关键词： field resource utilizing system dynamic simulating decision Nanpi County of Hebei Province

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Resource Allocation and Computation Offloading Framework of Bio-ind ustrial IoT Based on Game cybernetics and Stochastic Reinforcement Learning

Resource Allocation and Computation Offloading Framework of ...

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第35届中国过程控制会议

作者： He Zhang Zijian Tian Yingping Zhuang Guan Wang Xinggao Liu Zhejiang University State Key Laboratory of Industrial Control Technology NGICS Platform Control Department Zhejiang University School of Biotechnology East China University of Science and Technology

The Bio-industrial Internet of Things(BIoT) is promoting a new round of industrial technology revolution with its p owerful technology integration capability. Resource allocation and computation offloading within the emerging technology sys tem is the key way to achieve the goal of carbon neutrality and peak carbon dioxide emissions' dual carbon in the energy ***, most existing studies suffer from high energy consumption, high latency, and poor robustness, preventing multi-obje ctive optimization from practical applications. Given this, we first propose a novel framework named resource allocation and c omputation offloading network(RACOON) to coordinate the allocation of resources. Further, based on game cybernetics, we st udy the resource allocation and computation offloading problems and establish a stochastic game-based model. What's more, t he existence of Nash equilibrium is proved in the scene of BIoT with multi-intelligent devices. Then we propose a robust multi-agent resource allocation algorithm(RMARAA) to address this optimazation problem. Experiments show that the system can s till maintain high dynamic performance with the increase of users, and can be applied to large-scale BIoT systems.

关键词： Bio-industrial IoT Resource allocation Computation offloading Game theory Stochastic reinforcement lea rning

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A method for improving the accuracy of automatic indexing of Chinese-English mixed documents

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Chinese Journal of Library and Information Science 2012年第4期5卷 77-92页

作者： Yan ZHAO Hui SHI College of International Business Shanghai International Studies University Center for E-government Internationalization Research Shanghai International Studies University College of English Language and Literature Shanghai International Studies University department of Foreign Languages Taiyuan Normal University

Purpose: The thrust of this paper is to present a method for improving the accuracy of automatic indexing of Chinese-English mixed ***/methodology/approach: Based on the inherent characteristics of Chinese-English mixed texts and the cybernetics theory,we proposed an integrated control method for indexing documents. It consists of 'feed-forward control','in-progress control' and 'feed-back control',aiming at improving the accuracy of automatic indexing of Chinese-English mixed documents. An experiment was conducted to investigate the effect of our proposed ***: This method distinguishes Chinese and English documents in grammatical structures and word formation rules. Through the implementation of this method in the three phases of automatic indexing for the Chinese-English mixed documents,the results were encouraging. The precision increased from 88.54% to 97.10% and recall improved from97.37% to 99.47%.Research limitations: The indexing method is relatively complicated and the whole indexing process requires substantial human intervention. Due to pattern matching based on a bruteforce(BF) approach,the indexing efficiency has been reduced to some *** implications: The research is of both theoretical significance and practical value in improving the accuracy of automatic indexing of multilingual documents(not confined to Chinese-English mixed documents). The proposed method will benefit not only the indexing of life science documents but also the indexing of documents in other subject ***/value: So far,few studies have been published about the method for increasing the accuracy of multilingual automatic indexing. This study will provide insights into the automatic indexing of multilingual documents,especially Chinese-English mixed documents.

关键词： Chinese-English mixed documents String matching Accuracy of automatic indexing cybernetics Dedicated hepatitis B virus(HBV) database

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水质系统信息学——环境工程的新兴交叉学科（英文）

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Engineering 2024年第12期 115-124页

作者：刘鸿陈昭明王志伟徐明王玉涛耿金菊殷逢俊 Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences College of Environmental Science and Engineering Tongji University School of Environment Tsinghua University department of Environmental Science and Engineering Fudan University School of Environment Nanjing University

Water quality system informatics(WQSI) is an emerging field that employs cybernetics to collect and digitize data associated with water quality. It involves monitoring the physical, chemical, and biological processes that affect water quality and the ecological impacts and interconnections within water quality systems. WQSI integrates theories and methods from water quality engineering, information engineering,and system control theory, enabling the intelligent management and control of water quality. This integration revolutionizes the understanding and management of water quality systems with greater precision and higher resolution. WQSI is a new stage of development in environmental engineering that is driven by the digital age. This work explores the fundamental concepts, research topics, and methods of WQSI and its features and potential to promote disciplinary development. The innovation and development of WQSI are crucial for driving the digital and intelligent transformation of national industry patterns in China, positioning China at the forefront of environmental engineering and ecological environment research on a global scale.

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