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Joint Optimal Power Source Sizing and Data Collection trip planning for Advanced Metering Infrastructure Enabled by Unmanned Aerial Vehicles

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Journal of Modern Power Systems and Clean Energy 2022年第5期10卷 1337-1348页

作者： Haiam Shahin Mostafa F.Shaaban Mahmoud H.Ismail Hebat-Allah M.Mourad Ahmed Khattab Department of Electronics and Communications Engineering Facultyof EngineeringCairo UniversityGiza 12613Egypt IEEE Department of Electrical Engineering American University of SharjahPOBox 26666SharjahThe United Arab Emirates

The use of unmanned aerial vehicles(UAVs) in the collection of data from wireless devices, sensor nodes, and the Internet of Things(IoT) devices has recently received significant attention. In this paper, we investigate the data collection process from a set of smart meters in advanced metering infrastructure(AMI) enabled by UAVs. The objective is to minimize the total annual cost of the electric utility by jointly optimizing the number of UAVs, their power source sizing, the charging locations as well as the data collection trip planning. This is achieved while considering the energy budgets of batteries of UAVs and the required amount of collected data. The problem is formulated as a mixed-integer nonlinear programming(MINLP), which is decoupled into two sub-problems where a candidate UAV and a number of buildings are first grouped into trips via genetic algorithms(GAs), and then the optimum trip path is found using a traveling salesman problem(TSP) branch and bound algorithm. Simulation results show that the battery capacity or the number of UAVs increases as the coverage area or the density increases.

关键词： Advanced metering infrastructure unmanned aerial vehicle power source sizing trip planning genetic algorithm

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Hybrid Metaheuristics Web Service Composition Model for QoS Aware Services

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Computer Systems Science & Engineering 2022年第5期41卷 511-524页

作者： P.Rajeswari K.Jayashree Department of Computer Science and Engineering Rajalakshmi Engineering CollegeChennai602105India

Recent advancements in cloud computing(CC)technologies signified that several distinct web services are presently developed and exist at the cloud data ***,web service composition gains maximum attention among researchers due to its significance in real-time *** of Service(QoS)aware service composition concerned regarding the election of candidate services with the maximization of the whole *** these models have failed to handle the uncertainties of *** resulting QoS of composite service identified by the clients become unstable and subject to risks of failing composition by *** the other hand,trip planning is an essential technique in supporting digital map *** aims to determine a set of location based services(LBS)which cover all client intended activities quantified in the *** the available web service composition solutions do not consider the complicated spatio-temporal *** resolving this issue,this study develops a new hybridization of the firefly optimization algorithm with fuzzy logic based web service composition model(F3L-WSCM)in a cloud environment for location *** presented F3L-WSCM model involves a discovery module which enables the client to provide a query related to trip planning such as flight booking,hotels,car rentals,*** the next stage,the firefly algorithm is applied to generate composition plans to minimize the number of composition *** by,the fuzzy subtractive clustering(FSC)will select the best composition plan from the available composite ***,the presented F3L-WSCM model involves four input QoS parameters namely service cost,service availability,service response time,and user *** extensive experimental analysis takes place on CloudSim tool and exhibit the superior performance of the presented F3L-WSCM model in terms of accuracy,execution time,and efficiency.

关键词： Web service composition trip planning hybrid models firefly algorithm QoS aware services fuzzy logic

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Hybrid Recommender System for Tourism Based on Big Data and AI:A Conceptual Framework

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Big Data Mining and Analytics 2021年第1期4卷 47-55页

作者： Khalid AL Fararni Fouad Nafis Badraddine Aghoutane Ali Yahyaouy Jamal Riffi Abdelouahed Sabri LISAC Laboratory Department of InformaticsFaculty of Sciences Dhar El MahrazSidi Mohamed Ben Abdellah UniversityFez-Atlas 30000Morocco IA Laboratory Department of Computer ScienceFaculty of SciencesMoulay Ismail UniversityMoulay Ismail UniversityMeknes 50070Morocco

With the development of the Internet,technology,and means of communication,the production of tourist data has multiplied at all levels(hotels,restaurants,transport,heritage,tourist events,activities,etc.),especially with the development of Online Travel Agency(OTA).However,the list of possibilities offered to tourists by these Web search engines(or even specialized tourist sites)can be overwhelming and relevant results are usually drowned in informational"noise",which prevents,or at least slows down the selection *** assist tourists in trip planning and help them to find the information they are looking for,many recommender systems have been *** this article,we present an overview of the various recommendation approaches used in the field of *** this study,an architecture and a conceptual framework for tourism recommender system are proposed,based on a hybrid recommendation *** proposed system goes beyond the recommendation of a list of tourist attractions,tailored to tourist *** can be seen as a trip planner that designs a detailed program,including heterogeneous tourism resources,for a specific visit *** ultimate goal is to develop a recommender system based on big data technologies,artificial intelligence,and operational research to promote tourism in Morocco,specifically in the Daraa-Tafilalet region.

关键词： recommender systems user profiling content-based filtering collaborative filtering hybrid recommender system e-tourism trip planning

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A Multimedia Web GIS Portal for Promotion of Tourism in Kenya

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Journal of Geographic Information System 2021年第1期13卷 19-35页

作者： Charles M. Muriuki Benson Kenduiywo Department of Geomatic Engineering and Geospatial Information System (GEGIS) Jomo Kenyatta University of Agriculture and Technology (JKUAT) Nairobi Kenya

Tourism is a major foreign exchange earner in Kenya contributing to 10% of the gross domestic product (GDP). Whereas Kenyan government strives to boost its GDP through improved arrivals, lack of effective tourism marketing strategies hinders growth in tourist arrivals in Kenya. To advertise and market the untold wealth of tourist destinations, the government utilizes campaigns through print and electronic media, which are expensive and limited in updating. This study addresses the gap by designing a web Geographic Information System (GIS) portal for marketing and promotion of tourism. To realize this a multimedia GIS database was created using PostgreSQL/PostGIS software to store spatial and multimedia tourism data, while itinerary planning tools were designed using Dijkstra algorithm and Travelling Salesman Problem (TSP) approach. The result was a web GIS portal interface containing tourist information enhanced with text and/or video/audio descriptions. Facebook advertisement was used to popularize the tourism products available in Kenya through visitor engagements as well as directing traffic to the portal fast and inexpensively.

关键词： Dijkstra Travelling Salesman Problem Approach trip planning GIS in Travel Optimal Path

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