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Modeling CO_(2)Emission in Residential Sector of Three Countries in Southeast of Asia by Applying intelligent techniques

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Computers, Materials & Continua 2023年第3期74卷 5679-5690页

作者： Mohsen Sharifpur Mohamed Salem Yonis M Buswig Habib Forootan Fard Jaroon Rungamornrat Clean Energy Research Group Department of Mechanical and Aeronautical EngineeringEngineering IIIUniversity of PretoriaPretoriaSouth Africa Department of Medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwanChina School of Electrical and Electronic Engineering Universiti Sains Malaysia(USM)Nibong Tebal14300PenangMalaysia Institute of Sustainable and Renewable Energy ISuRE Faculty of EngineeringUniversityMalaysia Sarawak Department of Renewable Energies Faculty of New Sciences and TechnologiesUniversity of TehranTehranIran Center of Excellence in Applied Mechanics and Structures Department of Civil EngineeringFaculty of EngineeringChulalongkorn UniversityBangkok10330Thailand

Residential sector is one of the energy-consuming districts of countries that causes CO_(2)emission in large *** this regard,this sector must be considered in energy policy making related to the reduction of emission of CO_(2)and other greenhouse *** the present work,CO_(2)emission related to the residential sector of three countries,including Indonesia,Thailand,and Vietnam in Southeast Asia,are discussed and modeled by employing Group Method of Data Handling(GMDH)and Multilayer Perceptron(MLP)neural networks as powerful intelligent *** to modeling,data related to the energy consumption of these countries are represented,discussed,and ***,to propose a model,electricity,natural gas,coal,and oil products consumptions are applied as inputs,and CO_(2)emission is considered as the model’s *** obtained R^(2) values for the generated models based on MLP and GMDH are 0.9987 and 0.9985,***,values of the Average Absolute Relative Deviation(AARD)of the regressions using the mentioned techniques are around 4.56%and 5.53%,*** values reveal significant exactness of the models proposed in this article;however,making use of MLP with the optimal architecture would lead to higher accuracy.

关键词： CO_(2)emission GMDH MLP intelligent techniques energy consumption

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Hybrid Sensor Selection Technique for Lifetime Extension of Wireless Sensor Networks

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Computers, Materials & Continua 2022年第3期70卷 4965-4985页

作者： Khaled M.Fouad Basma M.Hassan Omar M.Salim Information Systems Department Faculty of Computers and Artificial IntelligenceBenha UniversityBenha13518Egypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33516Egypt Electrical Engineering Department Benha Faculty of EngineeringBenha UniversityBenha13518Egypt

Energy conservation is a crucial issue to extend the lifetime of wireless sensor networks(WSNs)where the battery capacity and energy sources are very *** energy-saving techniques can help designers overcome this issue by reducing the number of selected sensors that report environmental measurements by eliminating all replicated and unrelated *** paper suggests a Hybrid Sensor Selection(HSS)technique that combines filter-wrappermethod to acquire a rich-informational subset of sensors in a reasonable *** aims to increase the lifetime of WSNs by using the optimal number of *** the same time,HSS maintains the desired level of accuracy and manages sensor failures with the most suitable number of sensors without compromising the *** evaluation of the HSS technique has adopted four experiments by using four different *** experiments show that HSS can extend the WSNs lifetime and increase the accuracy using a sufficient number of sensors without affecting ***,to ensure HSS credibility and reliability,the proposed HSS technique has been compared to other corresponding methodologies and shows its superiority in energy conservation at premium accuracy measures.

关键词： Energy conservation WSNs intelligent techniques sensor selection

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An Introduction to intelligent Sensory Evaluation

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Journal of Donghua University(English Edition) 2004年第3期21卷 1-4页

作者：曾宪奕丁永生 Ecole National Supérieure des Arts et Industries Textiles Roubaix 59100 France College of Information Sciences and Technology Donghua University Shanghai 200051 P.R.China

Sensory evaluation is the evaluation of signals that a buman receives via its sensory organs. Nowadays sensory evaluation is widely used in quality inspection and quality control of products. and many other fields. Actually sensory evaluation always give. uncertain and inprecise results, therefore it derivates many problems. we reviews in detail these problem and give some cumputing methods to resolve them.

关键词： Sensory evaluation intelligent techniques Sensory techniqne.

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