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Spatio-Temporal Agricultural Drought Quantification in a Rainfed Agriculture, Athi-Galana-Sabaki River Basin

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Journal of Geographic Information System 2024年第4期16卷 201-226页

作者： Joe Ndundi Tete Godfrey Ouma Makokha Oscar Owino Ngesa John Ngugi Muthami Bonface Wabwire Odhiambo department of informatics and Computing Taita Taveta University Voi Kenya department of Finance and economic Planning County Government of Kilifi Kilifi Kenya

This study employs a quantitative approach to comprehensively investigate the full propagation process of agricultural drought, focusing on pigeon peas (the most grown crop in the AGS Basin) planting seasonal variations. The study modelled seasonal variabilities in the seasonal Standardized Precipitation Index (SPI) and Standardized Agricultural Drought Index (SADI). To necessitate comparison, SADI and SPI were Normalized (from −1 to 1) as they had different ranges and hence could not be compared. From the seasonal indices, the pigeon peas planting season (July to September) was singled out as the most important season to study agricultural droughts. The planting season analysis selected all years with severe conditions (2008, 2009, 2010, 2011, 2017 and 2022) for spatial analysis. Spatial analysis revealed that most areas in the upstream part of the Basin and Coastal region in the lowlands experienced severe to extreme agricultural droughts in highlighted drought years. The modelled agricultural drought results were validated using yield data from two stations in the Basin. The results show that the model performed well with a Pearson Coefficient of 0.87 and a Root Mean Square Error of 0.29. This proactive approach aims to ensure food security, especially in scenarios where the Basin anticipates significantly reduced precipitation affecting water available for agriculture, enabling policymakers, water resource managers and agricultural sector stakeholders to equitably allocate resources and mitigate the effects of droughts in the most affected areas to significantly reduce the socioeconomic drought that is amplified by agricultural drought in rainfed agriculture river basins.

关键词： Agricultural Drought Food Security Standardized Precipitation Index Standardized Agricultural

Digital twin for Industrial Internet

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Fundamental Research 2024年第1期4卷 21-24页

作者： Yushuai Li Yan Zhang department of informatics University of Oslo Oslo 0316Norway

Industrial Internet upgrades the traditional industrial manufacturing to digitization,networking and intellectualization era,which calls for brand-new technology *** a promising solution,the emergence Digital Twin(DT)offers enhanced digital mapping capability with strong feasibility,security,economic and intelligence,which fits well with the concept of Industrial *** this paper,we focus on establishing a new reference architecture of DT to support the development of Industrial *** is composed of three interdependent layers(i.e.,physical layer,DT layer and DT networks layer)and four critical attributes(i.e.,privacy,security,awareness and real-time).We illustrate our perspectives for the functionality and relationship of the three layers,and features and feasible solutions of the four *** those efforts,the proposed DT architecture can provide both smart manufacturing and networked services for Industrial Internet ***,we also illustrate the relevant and open ***,the conclusion and future perspective are pointed out.

关键词： Digital twin Industrial Internet Industry 4.0 Made in China 2025 Networked services

A three-stage approach for resilience-constrained scheduling of networked microgrids

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Journal of Modern Power Systems and Clean Energy 2019年第4期7卷 705-715页

作者： Saeed TEIMOURZADEH Osman Bulent TOR Mahmut Erkut CEBECI Adela BARA Simona Vasilica OPREA Engineering ProcurementResearch and Analysis(EPRA)Electric Energy Co.AnkaraTurkey department of economic informatics and cybernetics Faculty of CyberneticsStatistics and Economic InformaticsBucharest University of Economic Studies(BUES)BucharestRomania

This paper deals with optimal scheduling of networked microgrids(NMGs)considering resilience *** proposed scheme attempts to mitigate the damaging impacts of electricity interruptions by effectively exploiting NMG capabilities.A three-stage framework is *** Stage 1,the optimal scheduling of NMGs is studied through determining the power transaction between the NMGs and upstream network,the output power of distributed energy resources(DERs),commitment status of conventional DERs as well as demand-side *** Stage 2,the decisions made at Stage 1 are realized considering uncertainties pertaining to renewable generation,market price,power consumption of loads,and unintentional islanding of NMGs from the upstream network and *** 3 deals with uncertainties of unintentional islanding of each MG from the rest of islanded NMGs and *** problem is formulated as a mixed-integer linear programming problem and its effectiveness is assured by simulation studies.

关键词： Networked microgrid(NMG) Distributed energy resource(DER) Power system resilience Point estimate method

A deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 790-804页

作者： Nechirvan Asaad Zebari Chira Nadheef Mohammed Dilovan Asaad Zebari Mazin Abed Mohammed Diyar Qader Zeebaree Haydar Abdulameer Marhoon Karrar Hameed Abdulkareem Seifedine Kadry Wattana Viriyasitavat Jan Nedoma Radek Martinek department of Information Technology Lebanese French UniversityErbilIraq department of Computer Science University of ZakhoZakhoKurdistan RegionIraq department of Computer Science College of ScienceNawroz UniversityDuhokKurdistan RegionIraq department of Artificial Intelligence College of Computer Science and Information TechnologyUniversity of AnbarRamadiIraq department of Telecommunications VSB‐Technical University of OstravaOstravaCzech Republic department of cybernetics and Biomedical Engineering VSB‐Technical University of OstravaOstravaCzech Republic department of Computer Network and Information Security Technical College of Informatics-AkreDuhok Polytechnic UniversityDuhokIraq Information and Communication Technology Research Group Scientific Research CenterAl‐Ayen UniversityThi‐QarIraq College of Computer Sciences and Information Technology University of KerbalaKarbalaIraq College of Agriculture Al‐Muthanna UniversitySamawahIraq department of Applied Data Science Noroff University CollegeKristiansandNorway Faculty of Commerce and Accountancy Chulalongkorn Business SchoolChulalongkorn UniversityBangkokThailand

Detecting brain tumours is complex due to the natural variation in their location, shape, and intensity in images. While having accurate detection and segmentation of brain tumours would be beneficial, current methods still need to solve this problem despite the numerous available approaches. Precise analysis of Magnetic Resonance Imaging (MRI) is crucial for detecting, segmenting, and classifying brain tumours in medical diagnostics. Magnetic Resonance Imaging is a vital component in medical diagnosis, and it requires precise, efficient, careful, efficient, and reliable image analysis techniques. The authors developed a Deep Learning (DL) fusion model to classify brain tumours reliably. Deep Learning models require large amounts of training data to achieve good results, so the researchers utilised data augmentation techniques to increase the dataset size for training models. VGG16, ResNet50, and convolutional deep belief networks networks extracted deep features from MRI images. Softmax was used as the classifier, and the training set was supplemented with intentionally created MRI images of brain tumours in addition to the genuine ones. The features of two DL models were combined in the proposed model to generate a fusion model, which significantly increased classification accuracy. An openly accessible dataset from the internet was used to test the model's performance, and the experimental results showed that the proposed fusion model achieved a classification accuracy of 98.98%. Finally, the results were compared with existing methods, and the proposed model outperformed them significantly.

关键词： brain tumour deep learning feature fusion model MRI images multi‐classification

Understandings of Urban Sustainability in China:a Bibliometric Analysis Using Chinese Literatures

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Journal of Geodesy and Geoinformation Science 2024年第1期7卷 105-122页

作者： WU Shuang YUE Yang LI Xuesong department of Urban informatics School of Architecture and Urban PlanningShenzhen UniversityShenzhen 518060China Shenzhen Key Laboratory of Spatial Smart Sensing and Services Guangdong Key Laboratory for Urban InformaticsShenzhen UniversityShenzhen 518060China.

Cities hold a critical responsibility for achieving the Sustainable Development Goals(SDGs)due to their high population density,extensive resource consumption,and significant economic *** examine the present state of understandings regarding urban sustainability(SDG 11:Sustainable Cities and Communities)within Chinese research communities,this study collected 15950 papers from 1994 to 2022 on the 12 indicators of SDG 11,from the China National Knowledge Infrastructure(CNKI),a hub of Chinese academic papers,that directly relate to *** research topics on SDG 11 were identified for each indicator using bibliometrics analysis *** high-frequency keywords and clusters of keywords over the last three decades reveal that existing studies primarily concentrated on the physical aspects,such as transportation and environment,while there is a lack of consideration of societal *** indicates a limited and biased understanding of the urban sustainability within the Chinese academic ***,it is crucial to prioritize the societal aspects in order to develop a research agenda that further advances urban sustainability.

关键词： urban sustainability SDG 11 bibliometric Chinese research communities

Modeling the dynamical behavior of the interaction of T-cells and human immunodeficiency virus with saturated incidence

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Communications in Theoretical Physics 2024年第3期76卷 1-14页

作者： Salah Boulaaras Rashid Jan Amin Khan Ali Allahem Imtiaz Ahmad Salma Bahramand department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia Institute of Energy Infrastructure(IEI) Department of Civil EngineeringCollege of EngineeringUniversiti Tenaga Nasional(UNITEN)Putrajaya CampusJalan IKRAM-UNITEN43000 KajangSelangorMalaysia department of Mathematics University of SwabiSwabi 23561Pakistan department of Mathematics College of SciencesQassim UniversitySaudi Arabia Institute of informatics and Computing in Energy(IICE) Universiti Tenaga NasionalKajangSelangorMalaysia department of Political Science Bacha Khan University CharsaddaCharsadda 24420KPK Pakistan

In the last forty years,the rise of HIV has undoubtedly become a major concern in the field of public health,imposing significant economic burdens on affected ***,it becomes imperative to undertake comprehensive investigations into the mechanisms governing the dissemination of HIV within the human *** this work,we have devised a mathematical model that elucidates the intricate interplay between CD4^(+)T-cells and viruses of HIV,employing the principles of fractional *** production rate of CD4^(+)T-cells,like other immune cells depends on certain factors such as age,health status,and the presence of infections or ***,we incorporate a variable source term in the dynamics of HIV infection with a saturated incidence rate to enhance the precision of our *** introduce the fundamental concepts of fractional operators as a means of scrutinizing the proposed HIV *** facilitate a deeper understanding of our system,we present an iterative scheme that elucidates the trajectories of the solution pathways of the *** show the time series analysis of our model through numerical findings to conceptualize and understand the key factors of the *** addition to this,we present the phase portrait and the oscillatory behavior of the system with the variation of different input *** information can be utilized to predict the long-term behavior of the system,including whether it will converge to a steady state or exhibit periodic or chaotic oscillations.

关键词： HIV infection fractional-calculus dynamics of HIV iterative scheme dynamical behaviour mathematical model fractional derivatives

Influence of Human Activity Intensity on Habitat Quality in Hainan Tropical Rainforest National Park,China

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Chinese Geographical Science 2024年第3期34卷 519-532页

作者： HAN Nianlong YU Miao JIA Peihong ZHANG Yucheng HU Ke School of Geography and Tourism Huizhou UniversityHuizhou 516007China School of Public Administration Hainan Uni-versityHaikou 570228China department of Land Surveying and Geo-informatics The Hong Kong Polytechnic UniversityHong KongChina School of Geographic Sciences and Remote Sensing Guangzhou UniversityGuangzhou 510006China School of Public Administration Nanjing Agricultural UniversityNanjing 210095China

Due to long-term human activity interference,the Hainan Tropical Rainforest National Park(HTRNP)of China has experienced ecological problems such as habitat fragmentation and biodiversity loss,and with the expanding scope and intensity of human activity impact,the regional ecological security is facing serious challenges.A scientific assessment of the interrelationship between human activity intensity and habitat quality in the HTRNP is a prerequisite for achieving effective management of ecological disturbances caused by human activities and can also provide scientific strategies for the sustainable development of the *** on the land use change data in 2000,2010,and 2020,the spatial and temporal variations and the relationship between habitat quality(HQ)and human activity intensity(HAI)in the HTRNP were explored using the integrated valuation of ecosystem services and trade-offs(InVEST)*** dynamics and land use simulation models were also combined to conduct multi-scenario simulations of their *** results showed that during 2000–2020,the habitat quality of the HTRNP improved,the intensity of human activities decreased each year,and there was a negative correlation between the ***,the system dynamic model could be well coupled with the land use simulation model by combining socio-economic and natural *** simulation scenarios of the coupling model showed that the harmonious development(HD)scenario is effective in curbing the increasing trend of human activity intensity and decreasing trend of habitat quality,with a weaker trade-off between the two compared with the baseline development(BD)and investment priority oriented(IPO)*** maintain the authenticity and integrity of the HTRNP,effective measures such as ecological corridor construction,ecological restoration,and the implementation of ecological compensation policies need to be strengthened.

关键词： human activity intensity(HAI) habitat quality(HQ) bivariate spatial autocorrelation system dynamics model integrated valuation of ecosystem services and trade-offs(InVEST)model Hainan Tropical Rainforest National Park(HTRNP)of China

How the Investor’s Risk Preferences Influence the Optimal Allocation in a Credibilistic Portfolio Problem

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Journal of Systems Science and Information 2019年第4期10卷 317-329页

作者： Irina GEORGESCU Jani KINNUNEN department of economic cybernetics Academy of Economic StudiesBucharestRomania Abo Akademi University Tuomiokirkkotori 3Turku 20500Finland

A classical portfolio theory deals with finding the optimal proportion in which an agent invests a wealth in a risk-free asset and a probabilistic risky asset. Formulating and solving the problem depend on how the risk is represented and how, combined with the utility function defines a notion of expected utility. In this paper the risk is a fuzzy variable and the notion of expected utility is defined in the setting of Liu’s credibility theory. Thus, the portfolio choice problem is formulated as an optimization problem in which the objective function is a credibilistic expected utility. Different approximation calculation formulas for the optimal allocation of the credibilistic risky asset are proved. These formulas contain two types of parameters: Various credibilistic moments associated with fuzzy variables(expected value, variance, skewness and kurtosis) and the risk aversion, prudence and temperance indicators of the utility function.

关键词： prudence temperance credibilistic expected utility

Emotion Modelling for Social Robotics Applications： A Review

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Journal of Bionic Engineering 2018年第2期15卷 185-203页

作者： Filippo Cavallo Francesco Semeraro Laura Fiorini Gergely Magyar Peter Sincadk Paolo Dario BioRobotics Institute Seuola Superiore Sant'Anna Pontedera 56025 Italy department of cybernetics and Artificial Intelligence Faculty of Electrical Engineering and Informatics Technical University of Kosice Kosice 04001 Slovakia

Robots of today are eager to leave constrained industrial environments and embrace unexplored and unstructured areas, for extensive applications in the real world as service and social robots. Hence, in addition to these new physical frontiers, they must face human ones, too. This implies the need to consider a human-robot interaction from the beginning oft_he design; the possibility for a robot to recognize users＇ emotions and, in a certain way, to properly react and ＂behave＂. This could play a fundamental role in their integration in society. However, this capability is still far from being achieved. Over the past decade, several attempts to implement automata for different applications, outside of the industry, have been pursued. But very few applications have tried to consider the emotional state of users in the behavioural model of the robot, since it raises questions such as： how should human emotions be modelled for a correct representation of their state of mind？ Which sensing modalities and which classification methods could be the most feasible to obtain this desired knowl- edge？ Furthermore, which applications are the most suitable for the robot to have such sensitivity？ In this context, this paper aims to provide a general overview of recent attempts to enable robots to recognize human emotions and interact properly.

关键词： social robotics service robotics human-robot interaction emotion recognition robot learning robot behavioural model bionics