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The stance and factors of international organizations towards countries from a Chinese perspective

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Data Intelligence 2024年第1期6卷 158-182页

作者： Qin Zhang Haili Xue Yaotian Wang Yao Wang Ziqin Zhang Qinghua Qin Haoguang Liang National science library Chinese Academy of Sciences100190China China Center for Modernization Research 100190China Beijing International Studies University 100024China Beijing Key Laboratory of National Belt and Road Data Analysis and Decision Support 100024China University College London WC1E 6BTUK

The degree and scope of constraints imposed by International Organizations(IOs)on States are increasing,and identifying the factors affecting the IOs’stances on States is helpful to enhance the state's discourse power and influence in the international ***,by coding the records of Regular Press Conferences of the Speaking Office of the Chinese Ministry of Foreign Affairs during the period of 20182022,we obtained a dataset of IOs’stances on China-related ***,we constructed political relation,economic relation,and humanistic relation indicators to complement the influence factors,adopted the Bayesian logit model,and applied the Monte Carlo Markov chain algorithm and Gibbs sampling to analyze the probability of IOs’positive stances towards *** result shows that IOs’category,length of establishment,functional position,and relationship with China are all related to their tendency of making a statement about *** terms of the heterogeneity of event types,forum-type IOs are significantly inclined to give positive assessment compared to service-type IOs on events focusing on China's own *** analysis reveals that the model for analyzing and predicting the attitudes of IOs is more effective when the international situation is in a stable period.

关键词： Bayesian Logit Model IOs' stances Attitude analysis Monte Carlo Markov chain International relation indicator

Research on Site Planning of Mobile Communication Network

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Computers, Materials & Continua 2024年第8期80卷 3243-3261页

作者： Jiahan He Guangjun Liang Meng Li KefanYao Bixia Wang Lu Li Department of Computer Information and Cyber Security Jiangsu Police InstituteNanjing210000China Engineering Research Center of Electronic Data Forensics Analysis Nanjing210000China Key Laboratory of Digital Forensics Department of Public Security of Jiangsu ProvinceNanjing210000China Basic course Teaching and Research Department Jiangsu Police InstituteNanjing210000China Communication and Signal College Nanjing Railway Vocational and TechnicalNanjing210000China

In this paper,considering the cost of base station,coverage,call quality,and other practical factors,a multi-objective optimal site planning scheme is ***,based on practical needs,mathematical modeling methods were used to establish mathematical expressions for the three sub-objectives of cost objectives,coverage objectives,and quality ***,a multi-objective optimization model was established by combining threshold and traffic volume *** order to reduce the time complexity of optimization,a non-dominated sorting genetic algorithm(NSGA)is used to solve the multi-objective optimization problem of site ***,a strategy for clustering and optimizing weak coverage areas was *** order to avoid redundant neighborhood retrieval during cluster expansion,the Fast Density-Based Spatial Clustering of Applications with Noise(FDBSCAN)clustering method was *** different sub-objectives as the main objectives,this paper obtained the distribution map of weak coverage areas before and after the establishment of new base stations,as well as relevant site planning maps,and provided three planning schemes for different main *** simulation results show that the traffic coverage of the three station planning schemes is above 90%.The change in the main optimization objective will result in a significant difference between the cost of the three solutions and the coverage of weak coverage points.

关键词： Siting of station multi-objective optimization genetic algorithm NSGA general greed FDBSCAN cluster

Optimal control of a hybrid microgrid for hydrogenbased heat supply using deep reinforcement learning

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Clean Energy 2023年第5期7卷 940-951页

作者： Robin Heckmann Faculty of Computer science University of Library Studies and Information Technologies119Tsarigradsko shosse Blvd1784SofiaBulgaria

Green hydrogen is considered one of the key technologies of the energy transition,as it can be used to store surpluses from renewable energies in times of high solar radiation or wind speed for use in dark *** paper examines the decarbonization potential of hydrogen for the heating ***,99%of hydrogen is produced from fossil fuels,because hydrogen derived from renew-able energy sources remains prohibitively expensive compared with its conventional ***,due to the expansion of renewable energy sources and the current energy crisis of conventional energy sources,hydrogen from renewable energy sources is becoming more and more *** optimize the efficiency of green hydrogen production and make it more price-competitive,the author simulates a hydrogen production plant consisting of a photovoltaic plant,a power grid,hydrogen storage,an electro-lyser,a natural gas purchase option,a district heating plant and *** the deep deterministic policy gradient algorithm from deep reinforcement learning,the plant is designed to optimize itself by simulating different production scenarios and deriving *** connected district heating plant is used to map how hydrogen can be optimally used for heat supply.A demonstrable outcome of this paper is that the utilization of deep deterministic policy gradient,over the course of a full year,can result in a com-petitive production of hydrogen derived from renewable or stored energy sources for the heating industry as a natural gas substitute.

关键词： hydrogen renewable energy hybrid microgrid deep reinforcement learning deep deterministic policy gradient

Dynamic Signature Verification Using Pattern Recognition

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Journal of Software Engineering and Applications 2024年第5期17卷 214-227页

作者： Emmanuel Nwabueze Ekwonwune Duroha Austin Ekekwe Chinyere Iheakachi Ubochi Henry Chinedu Oleribe Department of Computer science Imo State University Owerri Nigeria Department of Computer science Gregory University Abia Nigeria ICT Department Alvan Ikoku University of Education Owerri Nigeria

Dynamic signature is a biometric modality that recognizes an individual’s anatomic and behavioural characteristics when signing their name. The rampant case of signature falsification (Identity Theft) was the key motivating factor for embarking on this study. This study was necessitated by the damages and dangers posed by signature forgery coupled with the intractable nature of the problem. The aim and objectives of this study is to design a proactive and responsive system that could compare two signature samples and detect the correct signature against the forged one. Dynamic Signature verification is an important biometric technique that aims to detect whether a given signature is genuine or forged. In this research work, Convolutional Neural Networks (CNNsor ConvNet) which is a class of deep, feed forward artificial neural networks that has successfully been applied to analysing visual imagery was used to train the model. The signature images are stored in a file directory structure which the Keras Python library can work with. Then the CNN was implemented in python using the Keras with the TensorFlow backend to learn the patterns associated with the signature. The result showed that for the same CNNs-based network experimental result of average accuracy, the larger the training dataset, the higher the test accuracy. However, when the training dataset are insufficient, better results can be obtained. The paper concluded that by training datasets using CNNs network, 98% accuracy in the result was recorded, in the experimental part, the model achieved a high degree of accuracy in the classification of the biometric parameters used.

关键词： Verification Security Biometrics Signature Authentication Model Pattern Recognition Dynamic

Medicine-Engineering Interdisciplinary Research Based on Bibliometric Analysis: A Case Study on Medicine-Engineering Institutional Cooperation of Shanghai Jiao Tong University

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Journal of Shanghai Jiaotong university(science) 2023年第6期28卷 841-856页

作者：王庆稳崔婷婷邓珮雯 library of Shanghai Jiao Tong University School of Medicine Shanghai 200025China

This article aims to provide reference for medicine-engineering interdisciplinary *** at the scientific literature and patent literature published by Shanghai Jiao Tong University,this article attempts to set up co-occurrence matrix of medicine-engineering institutional information which was extracted from address fields of the papers,so as to construct the medicine-engineering intersection *** dataset of scientific literature was analyzed using bibliometrics and visualization methods from multiple dimensions,and the most active factors,such as trends of output,journal and subject distribution,were identified from the indicators of category normalized citation impact(CNCI),times cited,keywords,citation topics and the degree of medicineengineering *** on hotspots and trends was discussed in *** of the dataset of patent literature showed research themes and measured the degree for technology convergence of medicineengineering.

关键词： medicine-engineering interdisplinary institutional cooperation bibliometrics bibliographic coupling journals dual-map overlay co-citation citation topics medicine and engineering technology convergence

GAS SORPTION,DIFFUSION AND PERMEATION OF ORDERED POLYMERIC MEMBRANES

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Chinese Journal of Polymer science 2000年第4期18卷 301-307页

作者： Yoshiharu Tsujita Polymeric Materials course Department of Materials Science and Engineering. Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya 466-8555 Japan

He, CO_2, O_2, N_2, CH_4, C_3H_8, and t-C_4H_(10) gas permeability coefficients and diffusion coefficients of poly(4-methylpentene-1) (PMP) with various degrees of crystallization were plotted against the degree of crystallization. The plotdemonstrated a linear relationship. The gas permeability coefficient and diffusion coefficient of pure amorphous and purecrystalline PMPs were evaluated by a linear extrapolation to zero and 100% crystallinity, respectively. The relationshipbetween the diffusion coefficient of crystalline parts of PMP and the kinetic diameter of penetrant gases was *** polystyrene (SPS) could exist as δ form crystals complexed with organic solvents such as benzene, toluene,xylene, and ethylbenzene. The mesophase of SPS is prepared by annealing the δ form of crystalline complexes at a certaintemperature for 1 h. The desorption of solvent during annealing almost does not result in changes of both the conformation ofbackbone chains and the crystal lattice. We could prepare the mesophase containing molecular cavities with the size andshape of the organic solvent molecules. The mesophase could sorb the same solvent after the manner of Langmuir sorption atlow vapor pressure range while this would not be the case for solvents of different size and shape. This suggests a molecularrecognition of organic solvent, and mesophase SPS might be useful for separation membrane and adsorptive material.

关键词： Gas sorption Diffusion Poly(4-methyl pentene-l) Molecular recognition

Digital Knowledge Resources Sharing Through Online Distance Education course

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现代图书情报技术 2002年第S1期 121-123页

作者： Josephine Yu Chen Sche Department of Information and library science Southern Connecticut State University New Haven CT 06515

Since the electronic resources and Internet Web sites became popular, distance education courses offered via the Internet could play an important role in providing global digital resources and teaching the knowledge of international library and information standards for bibliographic databases with electronic and web *** paper uses the example of the author's new online course: ILS 608 Cataloging and Development of a Digital Union Catalog for Ancient Chinese Books to demonstrate the global re...

关键词： OCLC RLIN Digital Knowledge Resources Sharing Through Online Distance Education course

Non-constant Positive Steady States of the Epidemic Model with Non-monotonic Incidence Rate

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Acta Mathematicae Applicatae Sinica 2015年第3期31卷 783-798页

作者： Shu-ling ZHA Bing-fang LI Xiu-xiang YANG Gai-zhu QU School of Mathematics and Information sciences Weinan Normal University Department of Basic course Shaanxi Railway Institute

In this paper, the positive steady states of the epidemic model with non-monotonic incidence rate are considered. Firstly, it is proved that the unique positive constant steady state is stable for the ODE system and the PDE system. Secondly, a priori estimate of positive steady states is given, and the non-existence of non-constant positive steady states is established by using Poincare inequality and Young inequality. Finally,the existence and bifurcation of non-constant positive steady states are studied by using the degree theory and the global bifurcation theorem.

关键词： epidemic stability positive steady state

CiteOpinion: Evidence-based Evaluation Tool for Academic Contributions of Research Papers Based on Citing Sentences

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Journal of Data and Information science 2019年第4期4卷 26-41页

作者： Xiaoqiu Le Jingdan Chu Siyi Deng Qihang Jiao Jingjing Pei Liya Zhu Junliang Yao National science library Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of sciences Beijing 100190China

Purpose:To uncover the evaluation information on the academic contribution of research papers cited by peers based on the content cited by citing papers,and to provide an evidencebased tool for evaluating the academic value of cited ***/methodology/approach:CiteOpinion uses a deep learning model to automatically extract citing sentences from representative citing papers;it starts with an analysis on the citing sentences,then it identifies major academic contribution points of the cited paper,positive/negative evaluations from citing authors and the changes in the subjects of subsequent citing authors by means of Recognizing Categories of Moves(problems,methods,conclusions,etc.),and sentiment analysis and topic ***:Citing sentences in a citing paper contain substantial evidences useful for academic *** can also be used to objectively and authentically reveal the nature and degree of contribution of the cited paper reflected by citation,beyond simple citation *** implications:The evidence-based evaluation tool CiteOpinion can provide an objective and in-depth academic value evaluation basis for the representative papers of scientific researchers,research teams,and ***/value:No other similar practical tool is found in papers *** limitations:There are difficulties in acquiring full text of citing *** is a need to refine the calculation based on the sentiment scores of citing ***,the tool is only used for academic contribution evaluation,while its value in policy studies,technical application,and promotion of science is not yet tested.

关键词： Cited paper Citing paper Citing sentence Citation motive Citation sentiment Academic contribution Evaluation