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检索条件"任意字段=7th International Conference on Functional Programming"

共 3597 条记录，以下是941-950 订阅

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Using Stochastic programming and Remote Sensing to Implement Ecological Restoration of Degraded Mud Flat Ecosystem 7

Using Stochastic Programming and Remote Sensing to Implement...

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7th international conference on Agro-Geoinformatics (Agro-Geoinformatics)

作者： Sun, Ling Zhu, Zesheng JiangSu Acad Agr Sci Inst Agr Informat Nanjing 210014 Jiangsu Peoples R China Naval Command Coll Res Dept Nanjing 210016 Jiangsu Peoples R China

ISBN: (纸本)9781538650394

this paper presents an interval-parameter stochastic programming (ISP) approach for supporting ecological restoration of degraded mud flat ecosystem under mud flat ecological restoration cost uncertainties. ISP is capable of performing mud flat ecological system analysis, ecological restoration cost uncertainty analysis, and solution block screening in a comprehensive and systematic way. A mud flat ecological restoration problem is used to demonstrate the applicability of the proposed ISP approach. the results indicate that solution block can be generated for the objective function and decision variables, and a variety of decision alternatives of solution block can be obtained under different cost uncertainty scenarios.

关键词： degraded mud flat ecosystem ecological restoration satellite sensors interval-parameter stochastic programming return on investment

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Joint Task Allocation Approaches for Hierarchical Wireless Sensor Networks 7

Joint Task Allocation Approaches for Hierarchical Wireless S...

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7th international conference on Modern Circuits and Systems Technologies (MOCAST)

作者： Yu, Wanli Huang, Yanqiu Ding, Enjie Garcia-Ortiz, Alberto Univ Bremen Inst Electrocynam & Microelect Bremen Germany China Univ Min & Technol IoT Percept Mine Res Ctr Xuzhou Jiangsu Peoples R China

ISBN: (纸本)9781538647882

In current wireless sensor network (WSN) applications, especially in Internet of things or in-network processing scenarios, the WSN nodes are required not only to execute local processing individually but also to collaborate for completing the periodical global tasks. Due to the complexity of joint task allocation problem, most of the existing approaches are restricted to distribute either only the local or global tasks. this work overcomes this limitation. It firstly proposes a static joint task allocation algorithm (SJTA) based on binary integer linear programming. Secondly, this work further presents a dynamic joint task allocation algorithm (DJTA) using linear programming, in order to achieve more balanced task distribution. Simulation results show that DJTA and SJTA significantly outperform previous approaches. they extend the network lifetime by up to 10 times longer than no scheduling strategy.

关键词： Task analysis Resource management Wireless sensor networks Partitioning algorithms Heuristic algorithms Linear programming Batteries

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Using markup language to differentiate between reliable and unreliable news

Using markup language to differentiate between reliable and ...

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international conference on Data Science and Advanced Analytics (DSAA)

作者： Caireann Kennedy Josephine Griffith National University of Ireland Galway Galway Ireland

ISBN: (数字)9781728182063

ISBN: (纸本)9781728182070

the aim of this research is to develop a more accurate method to detect unreliable news articles without considering the article content. Fake news articles are defined here as those articles which consist entirely of intentionally fabricated unreliable news. the approach taken in this work to detect fake news articles was to consider the type and frequency of HTML tags used in articles. By comparing the counts for HTML tags used in reliable and unreliable online articles, it was found that there are distinct differences between the HTML tags used in the two types of article sources (unreliable or reliable). Two datasets were used with different labelling of ground truth. the first dataset used, NELA 2017 (News Landscape 2017), comprises 136,000 news articles, obtained from 92 different news sources, dated between April 2017 and October 2017. the sources of the articles in NELA 2017 were categorized as either reliable or unreliable, using a media bias fact-checker resource and this was used to label the articles as either reliable or unreliable. the FakeNewsNet dataset is comprised of over 15000 news articles and tweets obtained from a fact-checking website, Gossip Cop, and has preassigned ground truth labels (fake or real). After analysis of NELA 2017, it was found that unreliable articles have 166 tags that were never used by the reliable articles and that there are 8 HTML tags that are used only in the reliable articles. Based on these findings, classification algorithms were employed on the extracted HTML tags. Experimental results show that the KNN classifier (k-nearest neighbors) and the CART classifier (classification and regression tree) give the best performance, having accuracies of around 97% when 10-fold cross-validation was implemented on the NELA 2017 dataset. Accuracies of around 72% were found when the same techniques were applied to the FakeNewsNet dataset. Using the NELA dataset, a comparison was also carried out between this new approach and two o

关键词： Reliability Media Social networking (online) Information integrity HTML Feature extraction programming

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Event-Based Under-Frequency Inertia Emulation Scheme for Severe Conditions 7

Event-Based Under-Frequency Inertia Emulation Scheme for Sev...

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7th international IEEE conference on Renewable Energy Research and Applications, ICRERA 2018

作者： Eliassi, Mojtaba Paulino, Pedro A. Betancourt Torkzadeh, Roozbeh Rodriguez, Pedro Loyola University Andalusia Seville Spain Technical University of Catalonia Barcelona Spain

ISBN: (纸本)9781538659823

the existing UFLS schemes suggested for conventional power systems need to be reassessed in the presence of renewable energy sources and storage systems equipped with grid-supporting convertors. A new Event-Based Under-Frequency Inertia Emulation (EB-UFIE) plan is proposed in this paper as a substitute of traditional UFLS program to protect the system against the risk of generation trip and subsequent blackout. Trajectory sensitivities are used as a popular technique to predict the future behavior of the system through a mixed integer programming optimization problem. the proposed scheme has been tested on the modified New England 39-bus system including renewables and storages. © 2018 IEEE.

关键词： Integer programming

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Optimization of a Smart Integrated Renewable Energy System for Isolated Rural Villages Using Integer Linear programming

Optimization of a Smart Integrated Renewable Energy System f...

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international Engineering, Sciences and Technology conference (IESTEC)

作者： Yunesky Masip Alejandro Fernández Gil Mariam Gómez Sánchez Carlos Castro Suleivys M. Nuñez González Escuela de Ingeniería Mecánica Pontificia Universidad Católica de Valparaíso Valparaíso Chile Universidad Técnica Federico Santa María Valparaíso Chile

ISBN: (纸本)9781728116921

Providing energy to areas isolated from the electricity grid through the use of a smart integrated renewable energy system (SIRES) is based on the Agenda 2030 for Sustainable Development, specifically Goal 7, according to the United Nations (UN). this study analyzes the process of identifying the appropriate size of a SIRES considering technical and economic factors (cost of energy-COE). An optimization integer linear programming model proposed was used, and a subsequent spatial-temporal analysis of the different variables was conducted. the model comprises locally available renewable energy resources, such as biomass, biogas, wind power, solar photovoltaic, and thermal power. Furthermore, it could be used to determine the energy potential of each of the isolated villages, identifying those areas in which the SIRES could be implemented as a sustainable and economical solution. the design simulates the cost of the initial investment and energy generation in the chosen village. the study also includes the study case in the region of Valparaiso, Chile. Different scenarios were used to optimize the available resources and minimize the COE generation.

关键词： Biomass Mathematical model Optimization Biological system modeling Solar radiation Water resources

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Military manpower planning towards simultaneous optimization of statutory and competence logics using population based approaches 7th

Military manpower planning towards simultaneous optimization...

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7th international conference on Operations Research and Enterprise Systems, ICORES 2018

作者： Abdessameud, Oussama Mazari Van Utterbeeck, Filip Van Kerckhoven, Johan Guerry, Marie-Anne Royal Military Academy Department of Mathematics Avenue de la Renaissance Brussels Belgium Vrije Universiteit Brussel Department of Business Technology and Operations Brussels Belgium

ISBN: (纸本)9789897582851

Military manpower planning aims to match the required and available staff. Statutory and competence logics are two linked aspects of the military manpower management. Military manpower management involves the long term planning with strategic goals, and also the short term human resources management with operational goals. these two aspects are interdependent;therefore this article proposes a technique to combine both logics in the same integrated model. A combined model allows the simultaneous optimization for both logics. In this article we illustrate a model based on flow network. We present integer programming and goal programming to find optimal solutions. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Integer programming

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Link Capacity Provisioning and Server Location Decision in Server Migration Service 7

Link Capacity Provisioning and Server Location Decision in S...

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IEEE 7th international conference on Cloud Networking (CloudNet)

作者： Fukushima, Yukinobu Murase, Tutomu Yokohira, Tokumi Okayama Univ Kita Ku Tsushimanaka 3-1-1 Okayama Okayama Japan Nagoya Univ Informat Technol Ctr Chikusa Ku Furo Cho Nagoya Aichi Japan

ISBN: (纸本)9781538668313

Server migration service (SMS) has been proposed as a new class of service to augment the existing IaaS (Infrastructure as a Service) cloud service. SMS allows servers (server-side processes of a network application) to dynamically and automatically migrate close to their clients (client-side processes of the network application) in order to reduce the penalty that the SMS provider pays to its SMS subscribers when failing to provide them with the guaranteed level of QoS. In this paper, we tackle a link capacity provisioning and server location decision problem where we consider the sum of link capacity provisioning cost and the penalty as the total expenditure of SMS business, and aim at minimizing the total expenditure. In the problem, we determine how much capacity to add to links, and when and to which location to migrate servers. We formulate the problem as an integer programming model, solve the model, and obtain the optimal link capacities, server locations at each time, and the global optimum value of the total expenditure of SMS business. Numerical examples show that the proposed method decreases the total expenditure of SMS business by up to 49% compared to a conventional method that determines the server locations while fixing the link capacities.

关键词： Servers Linear programming Quality of service Numerical models Cloud computing Computational modeling

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Water and Energy Management based on Fuzzy Logic and Linear programming for a Photovoltaic/Wind/Battery Pumping System in Rural Environment 7

Water and Energy Management based on Fuzzy Logic and Linear ...

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7th international conference on Renewable Energy Research and Applications (ICRERA)

作者： Cisse, Oumar Ndiaye, Mouhamadou Falilou Nkounga, Willy Magloire Ndiaye, Pape A. Sioutas, Alexandre Univ Cheikh Anta Diop Ecole Super Polytech CIFRES Dakar Senegal Univ Angers Ecole Ingenieurs ISTIA Angers France

ISBN: (纸本)9781538659823

this paper presents an energy and water management strategy in an autonomous multisource (photovoltaic, wind, battery) system powering hydraulic (pump and water tank) and electrical loads. the proposed strategy is based on the pump power modulation. the fuzzy logic is used to define the pump's rate power. Afterwards, a linear programing algorithm decides about the connexion status of the sources and electrical loads. the targeted goal is to cover the load needs and to efficiently use the battery. the elaborated strategy performances are evaluated by caseworks, using a load profile, a water consumption profileand real meteorological data of Gandon site in Senegal. the results show that the loads and the needs in water are covered at a 100%. Energy sources production presents an excess of 18%.the water level in the tank is always maintained above the defined critical threshold. Beyond the satisfactory water threshold in the tank, the battery is the main storage device.

关键词： renewable energy energy management pumping variable power fuzzy logic

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Research on Application Value of Computer Software Development in Java programming Language

Research on Application Value of Computer Software Developme...

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2019 7th international conference on Machinery,Materials and Computing Technology(ICMMCT 2019)

作者： Jiang Yangyang Xi’an Medical University

After the industrial revolution,the level of productivity has greatly improved,and the social economy has developed *** the same time,science and technology have also made rapid progress under the economic *** a product of modern science and technology,Internet has made an indelible contribution to human *** this context,the Java programming language based on computer software development has also entered people’s field of vision,and has received widespread *** paper is to briefly introduce some of the origins,characteristics and main applications of the Java programming language in people’s production and life.

关键词： computer software Java programming language internet application

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A Modified Balcik Last Mile Distribution Model for Relief Operations Using Open Road Networks 7

A Modified Balcik Last Mile Distribution Model for Relief Op...

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7th international conference on Building Resilience (ICBR) - Using Scientific Knowledge to Inform Policy and Practice in Disaster Risk Reduction

作者： Putong, Lance L. De Leon, Marlene M. Ateneo Manila Univ Katipunan Ave Manila 1108 Philippines

the last mile in disaster relief distribution chain is the delivery of goods from a central warehouse to the evacuation centers assigned for a given area. Its effectiveness relies on the proper allocation of each kind of relief good amongst the demand areas on a given frequency. Because these operations involve a limited supply of relief goods, vehicles, and time, it is important to optimize these operations to satisfy as much demand as possible. the study aims to create a linear programming model which provides a set of recommendations on how the current disaster relief supply chain may be carried out, specifically on how distribution operations allocate supplies among demand nodes as well as the routes taken in a day. the areas visited per day would depend on the capacity of the vehicle fleet as well as on the routes that can be used. this linear programming model will use Balcik's last mile distribution model, while modifying it for the relief operations in the Philippines. the model minimizes routing costs as well as penalty costs for unsatisfied demands. Map data is used for determining routes and historical data from previous disasters are used to determine the supply and demand for relief goods while providing a benchmark for results. the model produces recommendations for (1) Demand node schedule, (2) Best route for schedule, (3) Relief good allocation, and (4) Operational costs. It also provides the computational backbone for relief distribution decisions in the Philippines, allowing for more optimal operations in the future. (C) 2018 the Authors. Published by Elsevier Ltd.

关键词： computational science disaster management last mile distribution linear programming operations research

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