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Smart Innovation, Systems and Technologies 2021年 191卷 v-vi页

作者： Kountchev, Roumen Mahanti, Aniket Chong, Shen Patnaik, Srikanta Favorskaya, Margarita Department of Radio Communications and Video Technologies Technical University Sofia Bulgaria Department of Computer Science University of Auckland Auckland New Zealand College of Information Science and Technology Hainan University Haikou China School of Computer Science and Engineering SOA University BhubaneswarOdisha India University of Science and Technology Moscow Russia

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A numerical method of computing Hadamard finite-part integrals with an integral power singularity at the endpoint on a half infinite interval

arXiv

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arXiv 2019年

作者： Ogata, Hidenori Department of Computer and Network Engineering Graduate School of Informatics and Engineering University of Electro-Communications 5 1-5-1 Chofugaoka ChofuTokyo182-8585 Japan

In this paper, we propose a numerical method of computing Hadamard finite-part integrals with an integral power singularity at the endpoint on a half infinite interval, that is, a finite value assigned to a divergent integral with an integral power singularity at the endpoint on a half infinite interval. In the proposed method, we express a desired finite-part integral using a complex integral, and we obtain the integral by evaluating the complex integral by the DE formula. Theoretical error estimate and some numerical examples show the effectiveness of the proposed *** codes 65D30 Copyright © 2019, The Authors. All rights reserved.

关键词： Numerical methods

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Interpreting Trasmitarrays Far-Field Performance Using Its Near Focal Region Fields

Interpreting Trasmitarrays Far-Field Performance Using Its N...

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Advances in Science and engineering Technology International Conferences

作者： E'qab R. Almajali Abdulkader Hamid Saqer S. Alja'afreh Ashraf Tahat Electrical and Computer Engineering Departement University of Sharjah Sharjah UAE Mutah University Karak JO Communications Engineering Department Princess Sumaya University for Technology Amman Jordan

It is illustrated that the near-field obtained using receive mode analysis, through illuminating the surface of a trasmitarray by a plane wave incident from a specific direction, represents an excellent indicator to u... 详细信息

关键词： Transmitarrays Focal field intensity Focal point shift Receive-mode analysis Far-field performance

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Corrigendum to “ Transient multi-objective optimization of solar and fuel cell power generation systems with hydrogen storage for peak-shaving applications ” [Int J Hydrogen Energy (64), 25 April 2024, Pages 220–235]

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International Journal of Hydrogen Energy 2025年 103卷 597-597页

作者： Tao Hai Amit Kumar Saman Aminian Ibrahim Mahariq Mika Sillanpää Hassan Fouad Walid El-Shafai Artificial Intelligence Research Center (AIRC) Ajman University P.O.Box: 346 Ajman UAE Department of Mechanical Engineering GLA University Mathura UP Pin-281406 India Department of Civil Engineering College of Engineering Cihan University-Erbil Erbil Iraq Electrical and Computer Engineering Department Gulf University for Science and Technology Mishref Kuwait Department of Medical Research China Medical University Hospital China Medical University Taichung Taiwan Functional Materials Group Gulf University for Science and Technology Mubarak Al-Abdullah 32093 Kuwait Kuwait School of Technology Woxsen University Hyderabad Telangana India Centre of Research Impact and Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura-140401 Punjab India Division of Research & Development Lovely Professional University Phagwara-144411 Punjab India Department of Civil Engineering University Centre for Research & Development Chandigarh University Gharuan Mohali Punjab India Applied Medical Science Department Community College King Saud University P.O Box 11433 Riyadh Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt

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Machine learning in the air

arXiv

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arXiv 2019年

作者： Gundüz, Deniz De Kerret, Paul Sidiropoulos, Nicholas D. Gesbert, David Murthy, Chandra Van Der Schaar, Mihaela Information Processing and Communications Laboratory Department of Electrical and Electronics Engineering Imperial College London London United Kingdom Communication Systems Department EURECOM Sophia Antipolis France Department of Electrical and Computer Engineering University of Virginia Charlottesville VA United States Department of Electrical and Computer Engineering Indian Institute of Science Bangalore India

Thanks to the recent advances in processing speed and data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and transforming research in many areas in a fundamental manner. Wireless communications is another success story - ubiquitous in our lives, from handheld devices to wearables, smart homes, and automobiles. While recent years have seen a flurry of research activity in exploiting ML tools for various wireless communication problems, the impact of these techniques in practical communication systems and standards is yet to be seen. In this paper, we review some of the major promises and challenges of ML in wireless communication systems, focusing mainly on the physical layer. We present some of the most striking recent accomplishments that ML techniques have achieved with respect to classical approaches, and point to promising research directions where ML is likely to make the biggest impact in the near future. We also highlight the complementary problem of designing physical layer techniques to enable distributed ML at the wireless network edge, which further emphasizes the need to understand and connect ML with fundamental concepts in wireless communications. Copyright © 2019, The Authors. All rights reserved.

关键词： Intelligent buildings

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Semiconductor Polymer Carbon Composite Coated Fabric for Warm Beds in Hospital

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Adsorption Science & Technology 2022年 2022卷

作者： G. Sasikala V. Mahalakshmi K. Srihari Raja Loganathan R. Jaikumar ArunSekar Rajasekaran V. K. Shanmuganathan K. Santhosh Sama Sumanth Venkatesa Prabhu Sundramurthy Department of Electronics and Communications Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology 400 Feet Outer Ring Road Avadi Chennai 600062 Tamilnadu India Department of Computer Science Engineering SNS College of Technology Coimbatore India Department of Electronics and Communication Engineering Tagore Engineering College Chennai India Department of Electronics and Communication Engineering KGiSL Institute of Technology Coimbatore Tamilnadu India Department of Electronics and Communication Engineering GMR Institute of Technology Rajam Andhra Pradesh India Mechanical Engineering J.N.N Institute of Engineering Kannigaipair India Center of Excellence for Bioprocess and Biotechnology Department of Chemical Engineering College of Biological and Chemical Engineering Addis Ababa Science and Technology University Ethiopia

Patients suffering from diseases that occur due to spreading of virus like fever and cold will have decrease in body temperature. They feel cold in the normal body and room temperature conditions. For the comfort of these patients, an electric under blanket is designed which warms up the patient to maintain the normal body temperature. The heated under body supports include a heater assembly and a layer of compressible support material. The heater assembly includes a flexible heating element, multiplex polyester, and a temperature sensor. The flexible heater element may include a fabric, which coated with a conductive or semiconductive polymer. The heated under body support may also include a water resistant shell, whereas it may encase the heater assembly and the compressible support material. The material used for outer shell and inner heating element has simulated in COMSOL tool for analyzing the heat transfer between them. The proto type model has simulated in PROTEUS software, which includes Arduino UNO and thermistor. This analysis will give the result whether the material can be used as the under garment for warming the patient.

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Multi-cell edge coverage enhancement using mobile UAV-relay

arXiv

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arXiv 2020年

作者： Ji, Yukuan Yang, Zhaohui Shen, Hong Xu, Wei Wang, Kezhi Dong, Xiaodai National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Center for Telecommunications Research King’s College London LondonWC2B 4BG United Kingdom National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China Department of Computer and Information Sciences Northumbria University Newcastle upon TyneNEI 8ST United Kingdom Department of Electrical and Computer Engineering University of Victoria VictoriaBCV8W 3P6 Canada

Unmanned aerial vehicle (UAV)-assisted communication is a promising technology in future wireless communication networks. UAVs can not only help offload data traffic from ground base stations (GBSs), but also improve the quality of service of cell-edge users (CEUs). In this paper, we consider the enhancement of cell-edge communications through a mobile relay, i.e., UAV, in multi-cell networks. During each transmission period, GBSs first send data to the UAV, and then the UAV forwards its received data to CEUs according to a certain association strategy. In order to maximize the sum rate of all CEUs, we jointly optimize the UAV mobility management, including trajectory, velocity, and acceleration, and association strategy of CEUs to the UAV, subject to minimum rate requirements of CEUs, mobility constraints of the UAV and causal buffer constraints in practice. To address the mixed-integer nonconvex problem, we transform it into two convex subproblems by applying tight bounds and relaxations. An iterative algorithm was proposed to solve the two subproblems in an alternating manner. Numerical results show that the proposed algorithm achieves higher rates of CEUs as compared with existing benchmark schemes. Copyright © 2020, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Multipoint Channel Charting for Wireless Networks 52

Multipoint Channel Charting for Wireless Networks

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52nd Asilomar Conference on Signals, Systems and computers, ACSSC 2018

作者： Deng, Junquan Medjkouh, Said Malm, Nicolas Tirkkonen, Olav Studer, Christoph Department of Communications and Networking Aalto University Finland School of Electrical and Computer Engineering Cornell University IthacaNY United States

ISBN: (纸本)9781538692189

Multipoint channel charting is a machine learning framework in which multiple massive MIMO (mMIMO) base-stations (BSs) collaboratively learn a multi-cell radio map that characterizes the network environment and the users' spatial locations. The method utilizes large amounts of high-dimensional channel state information (CSI) that is passively collected from spatiotemporal samples by multiple distributed BSs. At each BS, a high-resolution multi-path channel parameter estimation algorithm extracts features hidden in the acquired CSI. Each BS then constructs a local dissimilarity matrix based on the extracted features for its collected samples and feeds it to a centralized entity which performs feature fusion and manifold learning to construct a multi-cell channel chart. The objective is to chart the radio geometry of a cellular system in such a way that the spatial distance between two users closely approximates their CSI feature distance. We demonstrate that (i) multipoint channel charting is capable of unravelling the topology of a Manhattan-grid system and (ii) the neighbor relations between CSI features from different spatial locations are captured almost perfectly. © 2018 IEEE.

关键词： Channel state information

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Test-based risk assessment and security certification proposal for the Internet of Things 4

Test-based risk assessment and security certification propos...

引用

4th IEEE World Forum on Internet of Things, WF-IoT 2018

作者： García, Sara N. Matheu Hernández-Ramos, José L. Skarmeta, Antonio F. Department of Information and Communications Engineering Computer Science Faculty University of Murcia Spain Odin Solutions S.L. Spain

ISBN: (纸本)9781467399449

This work provides a design of a certification methodology for IoT, paying attention to the test-based risk assessment phase to empower testers with the ability to assess security solutions for large-scale IoT deployments. The resulting approach is an instantiation of the Risk-based Security Assessment presented by ETSI based on the ISO 31000, and it is built on top of different technologies and approaches for security testing and risk assessment adapted to the IoT landscape. The proposed methodology is intended to be used for the different experiments that are proposed in the scope of the ARMOUR project for assessing the fulfilment of several security aspects. It is expected to be used as a baseline to build a new security certification and labelling approach for IoT devices. © 2018 IEEE.

关键词： Risk assessment

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Robust feature selection algorithm based on transductive SVM wrapper and genetic Algorithm: Application on computer-aided glaucoma classification

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International Journal of Intelligent Systems Technologies and Applications 2018年第3期17卷 310-346页

作者： Zemmal, Nawel Azizi, Nabiha Sellami, Mokhtar Zenakhra, Djamel Cheriguene, Soraya Dey, Nilanjan Ashour, Amira S. Labged Laboratory Computer Science Department Badji Mokhtar University Annaba23000 Algeria Department of Information Technology Techno India College of Technology Rajarhat Kolkata700156 India Faculty of Engineering Department of Electronics and Electrical Communications Engineering Tanta University Tanta31527 Egypt

Glaucoma has become a devastating disease after cataract to cause blindness. Thus, early diagnoses for glaucoma can prevent the vision loss. computer-aided diagnosis (CAD) systems, which automate the process of ocular disease detection, are urgently needed to alleviate the burden on the clinicians. In the current work, advanced machine-learning algorithms are investigated to propose a robust system for Glaucoma diagnosis based on retinal images. Three features extraction methods, namely the grey-level cooccurrence matrix (GLCM), Hu moments and central moments are combined to form the entry feature vector. To select the most relevant features and taking into account at the same time the unlabelled data existing in medical databases, a new scheme of feature selection algorithm is proposed. It is based on transductive support vector machine (SVM) wrapper and genetic algorithm, which automatically detect and classify the glaucoma disease using fundus images. The effectiveness of the proposed GA-TSVM is evaluated on a public retinal database RIM-ONE using the classification accuracy, sensitivity and specificity metrics. The experimental results established that with 16% of labelled data, the proposed system could easily distinguish between the normal and the affected glaucoma cases. © 2018 Inderscience Enterprises Ltd.

关键词： Genetic algorithms

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