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18th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2024

作者： Timoteo, Adriel Benyamin, Fabian Rafinanda Anargyarahman, Naufal Bhanu Iskandar Yuliana, Hajiar School of Electrical Engineering and Informatics Telecommunications Engineering Program Bandung Institute of Technology Bandung Indonesia Jenderal Achmad Yani University Faculty of Engineering Department of Electrical Engineering Cimahi Indonesia

ISBN: (纸本)9798331527686

Since the initial launch of 5G networks in 2018, 5G technology has rapidly expanded to cover about 40% of the world's population, offering higher bandwidth, faster connectivity, and lower latency than 4G. However, due to its higher frequency operation, 5G necessitates more frequent handovers, making efficient handover performance crucial. This research focuses on enhancing handover efficiency by predicting user movement using Long Short-Term Memory (LSTM) models for multi-step-ahead prediction. The model created will utilize 60 seconds of historical data to predict 10 seconds ahead, with a target to achieve an average prediction accuracy of less than 20 meters with a latency under 100 ms. The study employs TensorFlow for model training, leveraging the Grab-Posisi dataset, and utilizes Plotly and TensorBoard for result visualization. Six model variations were trained, with the 16-unit model trained for 3106 epochs performing best, achieving 16.99 meters accuracy and 31 ms latency. The findings suggest that LSTM is effective for predicting user movement in 5G networks, with potential accuracy improvements through extended training epochs. © 2024 IEEE.

关键词： Prediction models

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COMPARATIVE PERFORMANCE OF MACHINE LEARNING MODELS FOR TEMPERATURE PREDICTION IN VANADIUM REDOX FLOW BATTERIES

COMPARATIVE PERFORMANCE OF MACHINE LEARNING MODELS FOR TEMPE...

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International Conference on Green Energy, Computing and Intelligent Technology 2024, GEn-CITy 2024

作者： Zhang, Anxiu Juwono, Filbert H. Li, Hongfei Purwanto, Erick Wong, W.K. Liu, Linfeng Telecommunications Engineering Program Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University Suzhou China Applied Mathematics Program Xi'an Jiaotong-Liverpool University Suzhou China Department of Computing Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Computer Engineering Curtin University Malaysia Miri Malaysia Sustainable Energy Technology Program Xi'an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9781837242689

Vanadium Redox Flow Batteries (VRFB) are promising for large-scale energy storage due to their long life and environmental benefits. Accurate temperature prediction is key to optimizing VRFB performance and longevity. This study compares the performance of four machine learning models, i.e., 1D CNN, Particle Swarm Optimization - Support Vector Regressor (PSO-SVR), Decision Tree (DT), and K-Nearest Neighbors (KNN), using a publicly available dataset. Results show that KNN achieves the best results with test Root Mean Square Error (RMSE) of 0.0424 (average) and test R2 of 0.9746 (average), demonstrating strong predictive accuracy. 1D CNN, however, shows poor generalization. These findings suggest that non-parametric models like KNN and DT are highly effective for VRFB temperature prediction. © The Institution of engineering & Technology 2024.

关键词： machine learning prediction Vanadium redox flow battery

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Vivaldi Antipodal Antenna with triangular slots fed by air-filled RSIW for UWB applications 1

Vivaldi Antipodal Antenna with triangular slots fed by air-f...

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1st IEEE Latin American Conference on Antennas and Propagation, LACAP 2024

作者： de Carneiro, Priscilla Kadja P.M. Da Souza, Juliete S. Neto, Alfredo Gomes Serres, Georgina Karla de F. Herbster, Adolfo F. Serres, Alexandre Jean R. Federal University of Campina Grande UFCG Graduate Program in Electrical Engineering Campina Grande Brazil GTEMA Federal Institute of Paraíba IFPB Group of Telecommunications and Applied Electromagnetism João Pessoa Brazil Federal University of Campina Grande UFCG Department of Electrical Engineering Campina Grande Brazil

ISBN: (纸本)9798331527587

This paper presents a modified Vivaldi antipodal antenna using air-filled RSIW technology for UWB applications. The structure has a triangular slot edge, extending the bandwidth and increasing the gain. A prototype of the modified antenna was simulated and fabricated. The measured results show reasonable agreement with simulations, validating the design procedure. The proposed antenna offers a low-cost, easy-to-manufacture and compact solution. Additionally, improvements in performance were observed, including a 1 GHz increase in bandwidth and an additional 1.58 dB in gain, compared to the antenna using only the RSIW technology. © 2024 IEEE.

关键词： Substrate integrated waveguides

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Overview of Versatile Video Coding (H.266/VVC) and Its Coding Performance Analysis

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IEIE Transactions on Smart Processing and Computing 2023年第2期12卷 122-154页

作者： Lee, Minhun Song, HyeonJu Park, Jeeyoon Jeon, Byeungwoo Kang, Jungwon Kim, Jae-Gon Lee, Yung-Lyul Kang, Je-Won Sim, Donggyu Department of Computer Engineering Kwangwoon University Seoul Korea Republic of Department of Computer Engineering Sejong University Seoul Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Kyunggi-do Korea Republic of Communication and Media Research Laboratory Electronics and Telecommunications Research Institute Deajeon Korea Republic of School of Electronics and Information Engineering Korea Aerospace University Kyunggi-do Korea Republic of Department of Electronic and Electrical Engineering Graduate Program in Smart Factory Ewha Womans University Seoul Korea Republic of

Versatile Video Coding (H.266/VVC) is the newest video coding standard jointly developed by the Joint Video Experts Team (JVET), which is organized by the ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG). H.266/VVC provides about 40% bitrate reduction compared with High Efficiency Video Coding (H.265/HEVC) for the same visual quality. This paper introduces in detail the core structure of H.266/VVC by highlighting its features within block partitioning structure, intra/inter prediction, transform, quantization, and in-loop filtering, compared to its predecessor (H.265/HEVC). H.266/VVC yields significantly improved the coding performance, but it increased the computational complexity, particularly for the encoder side, which remains a problem to be tackled for successful commercialization in the future. This paper examined the statistical performance of H.266/VVC coding tools from the bitstreams encoded by the VVC test model (VTM12.0) encoder through rate-distortion optimization under the JVET common test conditions. In addition, the complexity and performance analyses are conducted on the block partitioning structure and group of picture structure. It is expected that an optimized H.266/VVC encoder can be designed and developed by minimizing the coding loss based on the analysis data. © 2023 Institute of Electronics and Information Engineers. All rights reserved.

关键词： Image compression

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Multi-Step-Ahead Prediction of User Movement on 5G Networks Using the Long Short-Term Memory Method

Multi-Step-Ahead Prediction of User Movement on 5G Networks ...

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International Conference on Telecommunication Systems, Services, and Applications (TSSA)

作者： Adriel Timoteo Fabian Rafinanda Benyamin Naufal Bhanu Anargyarahman Iskandar Hajiar Yuliana School of Electrical Engineering and Informatics Telecommunications Engineering Program Bandung Institute of Technology Bandung Indonesia Department of Electrical Engineering Faculty of Engineering Jenderal Achmad Yani University Cimahi Indonesia

ISBN: (数字)9798331527686

ISBN: (纸本)9798331527693

关键词： Training Meters Accuracy 5G mobile communication Quality of service Predictive models Handover Data models telecommunications Long short term memory

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Classification algorithm for wheelchair operation in real conditions using POF-based pressure sensors

Classification algorithm for wheelchair operation in real co...

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Latin American Electron Devices Conference (LAEDC)

作者： A. X. Gonzalez-Cely C.F. Blanco-Díaz Camilo A.R. Díaz T. Bastos-Filho Robotics and Assistive Technology Laboratory Postgraduate Program in Electrical Engineering Federal University of Espírito Santo Vitoria Brazil Telecommunications Laboratory Postgraduate Program in Electrical Engineering Federal University of Espírito Santo Vitoria Brazil

ISBN: (数字)9798350361292

ISBN: (纸本)9798350361308

A real-time implementation of a classification system is proposed here to operate an electric-powered wheelchair. The proposed framework innovatively integrates Polymeric Optical Fiber (POF)-based pressure sensors, positioned within a neck pillow, to effectively capture critical user-specific pressure data emanating from the user’s neck region. The system considered the mechanical variations presented in the dataset construction owing to the movement generated by the wheelchair. To mitigate this inherent noise, an indispensable preprocessing stage is introduced, and a feature extraction stage is performed considering the variance, Root Mean Square (RMS), Crest Factor Margin (CMF), and Margin Factor (MF) in the time domain. This augmentation enhances the discriminative capacity of the feature representation and, consequently, enhances the classification performance. A fine k-Nearest Neighbors (kNN) was able to distinguish four neck movements: forward, right, left, and back, with performance metrics of: 80.39% (Accuracy), 87.09% (AUC), and 19.40% (False Positive Rate). This work contributes to the development of new strategies for the implementation of more robust power wheelchair controllers by integrating machine learning and optical fiber sensors, in order to assist people with disabilities.

关键词： Pressure sensors Optical fiber sensors Accuracy Wheelchairs Neck Classification algorithms Polymers

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Analysis of the Need for Passengers' Connectivity Aboard the Ship by using Kano Model

Analysis of the Need for Passengers' Connectivity Aboard the...

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2021 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2021

作者： Pardomuan, Remon Suryanegara, Muhammad Universitas Indonesia Graduate Program in Telecommunications Management Department of Electrical Engineering Jakarta Indonesia

ISBN: (纸本)9781665438650

This paper aims to analyze passenger needs for network connectivity on the ship during traveling at the shipping line of Indonesian XYZ Company. The current connectivity infrastructure on board is supported by VSAT technology, but limited only for the ship's crew. Meanwhile, the passengers have difficulty to connect mobile cellular services while sailing. Therefore, providing the service over such a connectivity to the passengers can be an added values for the XYZ Company. This study uses Kano Model of the 11 attributes, and collect a primary data from 138 passengers sailing at PQR ship. It results recommendations portraying the passenger's need for shipping telecommunications during the sailing trip. © 2021 IEEE.

关键词： Ships

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Quantum Wrapper Networking: Investigating the Noise Impact of Classical Headers on the Quantum Payload

Quantum Wrapper Networking: Investigating the Noise Impact o...

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2024 Frontiers in Optics, FiO 2024

作者： Gül, Gamze On, Mehmet Berkay Tan, Shannon G. Proietti, Roberto Kanter, Gregory S. Yoo, S.J. Ben Kumar, Prem Graduate Program in Applied Physics Northwestern University 2145 Sheridan Road EvanstonIL60208 United States Department of Electrical and Computer Engineering University of California Davis DavisCA95616 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States Department of Electronics and Telecommunications Engineering Politecnico di Torino Italy

We study the impact in time and frequency domains of classical headers on quantum payloads in quantum wrapper networking. We identify and characterize in-fiber scattering processes that produce noise photons degrading...

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Smart greenhouses as the path towards precision agriculture in the food-energy and water nexus: case study of Qatar

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Environment Systems and Decisions 2022年第4期42卷 521-546页

作者： Karanisa, Theodora Achour, Yasmine Ouammi, Ahmed Sayadi, Sami Biotechnology Program Center for Sustainable Development College of Arts and Sciences Qatar University Doha 2713 Qatar Electrical Systems and Telecommunications Engineering Laboratory The National School of Applied Sciences of Kenitra 14000 Kenitra Morocco

Greenhouse farming is essential in increasing domestic crop production in countries with limited resources and a harsh climate like Qatar. Smart greenhouse development is even more important to overcome these limitations and achieve high levels of food security. While the main aim of greenhouses is to offer an appropriate environment for high-yield production while protecting crops from adverse climate conditions, smart greenhouses provide precise regulation and control of the microclimate variables by utilizing the latest control techniques, advanced metering and communication infrastructures, and smart management systems thus providing the optimal environment for crop development. However, due to the development of information technology, greenhouses are undergoing a big transformation. In fact, the new generation of greenhouses has gone from simple constructions to sophisticated factories that drive agricultural production at the minimum possible cost. The main objective of this paper is to present a comprehensive understanding framework of the actual greenhouse development in Qatar, so as to be able to support the transition to sustainable precision agriculture. Qatar’s greenhouse market is a dynamic sector, and it is expected to mark double-digit growth by 2025. Thus, this study may offer effective supporting information to decision and policy makers, professionals, and end-users in introducing new technologies and taking advantage of monitoring techniques, artificial intelligence, and communication infrastructure in the agriculture sector by adopting smart greenhouses, consequently enhancing the Food-Energy-Water Nexus resilience and sustainable development. Furthermore, an analysis of the actual agriculture situation in Qatar is provided by examining its potential development regarding the existing drivers and barriers. Finally, the study presents the policy measures already implemented in Qatar and analyses the future development of the local greenhouse sect

关键词： controlled environment agriculture (CEA) FEW nexus Food security Greenhouse technology Precision agriculture Sustainable development

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Dynamic Volumetric Video Coding with Tensor Decomposition

Dynamic Volumetric Video Coding with Tensor Decomposition

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IEEE Visual Communications and Image Processing (VCIP)

作者： Ju-Yeon Shin Yeoneui Kim Je-Won Kang Gun Bang Dept. of Electronic and Electrical Engineering and Graduate Program in Smart Factory Ewha Womans University Seoul South Korea Electronics and Telecommunications Research Institute Daejeon South Korea

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Recently, volumetric video coding based on neural radiance fields has gained significant attention for storing and transmitting three-dimensional (3D) scenes captured from multi-view video. Because the neural networks are trained to produce novel view synthesis of surrounding 3D scenes, compressing the model and then rendering the colors and geometry through the decompressed model can be utilized as a 3D video coding system. However, although this approach provides superior performance compared to conventional 3D video coding standards using depth video, challenges remain in reducing overall model sizes to improve coding efficiency. In this paper, we propose a novel dynamic volumetric video coding technique that employs a Group of Volume (GoV) to divide multi-view video sequences into smaller chunks, addressing complex temporal dynamics. Our method uses volumetric video features represented with 3D spatial and temporal tensor matrices and vectors and encodes them with the GoVs. The tensors are compressed by existing 2D video codec, allowing for fast rendering and easing deployment. Experimental results validate that our method not only reduces memory footprint but also maintains high-quality rendering as compared to state-of-the-art studies.

关键词： Video coding Solid modeling Three-dimensional displays Image coding Tensors Visual communication Video sequences Rendering (computer graphics) Video codecs Standards

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