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3rd International Conference on Power, Energy, Control and Transmission Systems, ICPECTS 2022

作者： Basha, Amjath Ali Jakul Saravanan, K. Mangayarkarasi, T. Balarengadurai, C. University of Technology and Applied Sciences Ibra Sultanate of Oman RCC - ENGG Department Computer Engineering Electrical and Electronic Section Department of Engineering Oman R.M.D Engineering College Department of Information Technology Tamil Nadu Chennai India Sri Sairam Engineering College Department of Instrumentation and Control Engineering Tamil Nadu Chennai India Vidyavardhaka College of Engineering Department of Computer Science and Engineering Karnataka Mysuru India

ISBN: (纸本)9781665462754

COVID-19 has lately infected a big number of people worldwide. Medical service frameworks are strained as a result of the infection. The emergency unit, which is part of the medical services area, has experienced several challenges as a result of the low data quality offered by existing ICU clinical equipment. The Internet of Things has enhanced the capability for essential information mobility in medical services in the twenty-first century. Nonetheless, many of today's ideal models use IoT innovation to assess patients' well-being. As a result, executives lack understanding regarding the most effective method to apply such innovation to ICU clinical equipment. The IoT Based Paradigm for Medical Equipment Management Systems, a breakthrough IoT-based paradigm for successfully administering clinical hardware in ICUs, is introduced in this study. During the COVID-19 episode, IoT technology is used to boost the data stream between clinical hardware, executive frameworks, and ICUs, enabling the maximum level of openness and reasonableness in clinical equipment redistribution. IoT MEMS conceptual and functional features were painstakingly drawn. Using IoT MEMS expands the capacity and limits of emergency clinics, effectively easing COVID-19. It will also have a substantial impact on the nature of the data and will improve the partners' trust and transparency. © 2022 IEEE.

关键词： COVID-19

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Design and Analysis of a Miniaturized, Efficient Wideband THz Antenna for 6G Applications

Design and Analysis of a Miniaturized, Efficient Wideband TH...

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IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)

作者： Md. Shakiul Jafor Liton Chandra Paul Md. Nur Alam Sheikh Shafaet Islam Afsana Mimi Md. Sadik Hossain Md. Shajol Al Mamun Md. Hasibur Rahman Department of Electrical and Electronic Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Department of Electrical Electronic and Communication Engineering Pabna University of Science & Technology Pabna Bangladesh Department of Computer Science & Engineering Pundra University of Science & Technology Bogura Bangladesh Department of Electrical and Electronic Engineering Pundra University of Science & Technology Bogura Bangladesh

ISBN: (数字)9798331510213

ISBN: (纸本)9798331510220

A wideband, small-size inset-fed slotted rectangular THz antenna with a polyamide substrate has been designed and analyzed for 6G applications. The substrate measures 27.809×40×10 µm 3 , which is significantly smaller than known antennas currently in use. The antenna has an operating bandwidth of 1060 GHz, which spans 4.46 THz to 5.52 THz, and it resonates at 5.01 THz. The radiation efficiency, return loss, and maximum gain of the proposed THz antenna are 6.29 dB, 97.6%, and −61.97 dB, respectively. In terms of bandwidth, maximum gain, radiation efficiency, and return loss, the proposed THz antenna performs better. A high-frequency structure simulator (HFSS) platform is used to simulate the proposed model and estimate its performance for 6G communication.

关键词： 6G mobile communication Antenna measurements Slot antennas Resonant frequency Terahertz radiation Broadband antennas Gain Wideband Substrates Terahertz communications

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CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images

CVFC: Attention-Based Cross-View Feature Consistency for Wea...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Pan, Liangrui Li, Keqin Liu, Wenjuan Xu, Liwen Feng, Zhichao Peng, Shaoliang Hunan University College of Computer Science and Electronic Engineering Chang Sha China Central South University Third Xiangya Hospital Department of Radiology Chang Sha China

ISBN: (纸本)9798350337488

Histopathology image segmentation is the gold standard for diagnosing cancer, and can indicate cancer prognosis. However, histopathology image segmentation requires high-quality masks, so many studies now use image-level labels to achieve pixel-level segmentation to reduce the need for fine-grained annotation. To solve this problem, we propose an attention-based cross-view feature consistency end-to-end pseudo-mask generation framework named CVFC based on the attention mechanism. Specifically, CVFC is a three-branch joint framework composed of two Resnet38 and one Resnet50, and the independent branch multi-scale integrated feature map to generate a class activation map (CAM);in each branch, through down-sampling and The expansion method adjusts the size of the CAM;the middle branch projects the feature matrix to the query and key feature spaces, and generates a feature space perception matrix through the connection layer and inner product to adjust and refine the CAM of each branch;finally, through the feature consistency loss and feature cross loss to optimize the parameters of CVFC in co-training mode. After a large number of experiments, An IoU of 0.7122 and a fwIoU of 0.7018 are obtained on the WSSS4LUAD dataset, which outperforms HistoSegNet, SEAM, C-CAM, WSSS-Tissue, and OEEM, respectively. © 2023 IEEE.

关键词： CAM Consistency Histopathology Image Segmentation Weak supervision

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Blockchain Application in the Waste Trading

Blockchain Application in the Waste Trading

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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Ian Rachman Dana Anita Hidayati Iklima Ermis Ismail Department of Computer and Informatics Engineering Politeknik Negeri Jakarta Depok Indonesia

Waste is a complex and severe problem with detrimental environmental impacts if not appropriately managed. The process of buying and selling waste is essential in waste management. With its smart contracts, blockchain allows transactions to be carried out automatically without involving third parties, thereby speeding up the process and increasing efficiency and security. This research applies blockchain to record waste buying and selling transactions. We selected Binance Smart Chain (BSC) as a blockchain platform and Solidity 0.8.0 to build smart contracts containing structures, events, and functions that manage transactions. Autotask connected to the relayer records transactions on the blockchain network without requiring direct intervention from the user. We set up credentials from apiKey and apiSecret to connect to OpenZeppelin Defender, then enter the contract address deployed to the BSC network. After that, we create a variable to accommodate the deployed smart contract's Application Binary Interface (ABI). System testing uses the black box and System Usability Scale (SUS). Of the ten test scenarios in the black box, everything ran smoothly. System testing using SUS resulted in a score of 76 and a Net Promoter Score (NPS) value of 70%. This score indicates that the system is deemed acceptable and included in the good category. This system can guarantee transparency in the waste buying and selling system, hoping to increase accountability and trust in the community.

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A Factoid based Question Answering System based on Dependency Analysis and Wikidata 12

A Factoid based Question Answering System based on Dependenc...

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12th International Conference on Information, Intelligence, Systems and Applications, IISA 2021

作者： Ploumis, Thomas Perikos, Isidoros Grivokostopoulou, Foteini Hatzilygeroudis, Ioannis University of Patras Department of Computer Engineering and Informatics Patras Greece

ISBN: (纸本)9781665400329

Over the last years, the use and the need for automated question answering systems have become more important than ever. The main reasons for this relate to the constant increase of the information that is available in textual form as well as the need to facilitate users in getting information they seek in a precise, fast, and easy way. In this work, we deal with the problem of the open domain factoid-based answering of questions, where the answer to a question is in the form of a word or a small phrase. We present an efficient methodology for analyzing questions and specifying proper answers with the use of knowledge bases. Initially, given a specific question that a user sets, a high-quality linguistic analysis of the question is performed. The dependencies of the question are specified, and the main triplets of the question are created. The system creates a SPARQL query to get the right answer for the question via the API from the Wikidata Query Service. The results are quite encouraging and highlight the quite good performance of our methodology. © 2021 IEEE.

关键词： Quality control

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An Efficient Test Scheduling Method Based on Dynamic Pairing

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年

作者： Kim, Heetae Yun, Hyojoon Yoon, Doohyun Kang, Sungho Yonsei University Computer Systems and Reliable SoC Laboratory Department of Electrical and Electronic Engineering Seoul03722 Korea Republic of

Test scheduling is a process that manages tests within a System-on-Chip (SoC) to minimize test time by allocating test resources and adjusting priorities. Efficient test scheduling offers cost saving opportunities by reducing test time without compromising test coverage. Since test scheduling is a NP-hard problem, conventional methods adopt optimization or heuristic algorithms that leverage metrics of each test. However, due to the interdependence of tests based on how limited resources are allocated, finding the optimal solution to minimize test time is challenging. In this paper, a dynamic pairing algorithm is proposed to consider the mutual influence of tests on each other in the test scheduling process. The proposed method identifies the available test resources for a specific pair and minimizes the test time of the paired modules under identified constraints. Additionally, the proposed algorithm employs a heuristic-based approach to test scheduling to reduce the CPU time needed for scheduling. The proposed heuristic algorithm sequentially schedules test target modules and determines the optimal test schedule through dynamic pairing. Experiments have been carried out on diverse benchmarks and under various constraint conditions. The results indicate that the proposed method achieves shorter test times on average in comparison to conventional methods. © 2025 IEEE. All rights reserved.

关键词： System-on-chip

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Aerial ISAC: A HAPS-Assisted Integrated Sensing, Communications and Computing Framework for Enhanced Coverage and Security

IEEE Transactions on Green Communications and Networking

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IEEE Transactions on Green Communications and Networking 2025年

作者： Benaya, Ahmed M. Hassan, Mohamed S. Ismail, Mahmoud H. American University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates Menoufia University Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Egypt Cairo University Faculty of Engineering Department of Electronics and Electrical Communications Engineering Giza12613 Egypt American University of Sharjah Department of Computer Science and Engineering United Arab Emirates

In this paper, we propose a framework for a non-terrestrial ISAC system, where a high-altitude platform station (HAPS)-mounted full duplex (FD) ISAC base station (BS) is deployed to deliver communication services to multiple user equipment (UEs) and, at the same time, sense multiple targets. Moreover, the ISAC-BS offloads part of the sensed data to a dedicated edge server for computation purposes. Additionally, an unmanned aerial vehicle (UAV) is deployed to transmit jamming signals aimed at degrading the reception quality of malicious targets or potential eavesdroppers identified through the sensing process. A multi-objective optimization problem is formulated to jointly optimize the transmit/receive beamforming and UAV trajectory to maximize the communication sum spectral efficiency under radar performance, security, offloading, and power constraints. Since the formulated problem is non-convex, we use alternating optimization (AO), semi-definite relaxation (SDR), and successive convex approximation (SCA) approaches to solve it. Simulation results show that the communication and radar achieved rates from the proposed algorithm outperforms the cases of using non-optimized UAV’s trajectory and using the Rayleigh-quotient method to design the receive beamforming vectors. © 2017 IEEE.

关键词： Multiobjective optimization

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Procrustes-DTW: Dynamic Time Warping Variant for the Recognition of Sign Language Utterances

Procrustes-DTW: Dynamic Time Warping Variant for the Recogni...

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Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Nikolaos Arvanitis Evangelos Sartinas Dimitrios Kosmopoulos Computer Engineering & Informatics Department University of Patras Rion-Patras Greece

In this paper we present a method for classifying sign language videos using a variation of dynamic time warping with the Procrustes distance, which is a shape similarity measure appropriate for handshape recognition. We initially extract features from the dominant hand. We then classify the signs using a nearest-neighbor scheme which includes a dynamic time warping variant, which we dub Procrustes-DTW and which is suitable for extracting a similarity measure of sequences of handshapes only. To reduce computational costs it is combined with a curvature-based summarization scheme with a reasonable sacrifice in accuracy. We verify experimentally our approach on a custom dataset and we show its merit compared to the conventional dynamic time warping approach.

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On the development of a personalized augmented reality spatial ability training mobile application 1

On the development of a personalized augmented reality spati...

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1st International Conference on Novelties in Intelligent Digital Systems, NIDS 2021

作者： Papakostas, Christos Troussas, Christos Krouska, Akrivi Sgouropoulou, Cleo Department of Informatics and Computer Engineering University of West Attica Greece

ISBN: (纸本)9781643682044

Augmented Reality has been integrated in educational settings in the field of engineering. Prior research has examined the learning outcomes and the pedagogical affordances of this technology. However, training undergraduate engineers, from diverse knowledge level, requires customized training approach, tailored to the individual learning pace. In this paper, we present PARSAT (Personalized Augmented Reality Spatial Ability Training), which is a mobile Augmented Reality application for the enhancement of students' spatial visualization skills. The application takes into account the theoretical contents of engineering design, deployed through video tutorials, and student-computer interaction with 3D objects. Students interpret different views of a 3D object, which are represented on their mobile screen. PARSAT efficaciously strengthens students' recognition of spatial structures and views, adjusted to the fulfillment of their personal needs. In terms of personalization, PARSAT consists of different levels, which do not follow a linear flow, as each student takes part in a different sequence of activities, according to their time spent in the 3D object manipulation, and their assessment scores at the end of each level. Furthermore, an agent is used to analyze students' knowledge level, and send them feedback. The system reduces unnecessary cognitive load and, at the same time, improves students learning experience in learning engineering drawing. © 2021 The authors and IOS Press.

关键词： Augmented reality

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Studying the Travel Direction Patterns in Urban Mobility: A Case Study of Taxis 20

Studying the Travel Direction Patterns in Urban Mobility: A ...

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20th International computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023

作者： Weipeng, Nie Zetao, Li Zhidan, Zhao Shimin, Cai Compleχ Lab School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu610054 China Complexity Computation Laboratory School of Engineering Shantou University Department of Computer Science Shantou515063 China Shantou515063 China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu610054 China

ISBN: (纸本)9798350318982

Travel direction is important information in urban mobility and reflects the trend of urban travel. Understanding travel direction patterns in urban mobility is crucial for urban planning, transportation management, and resource allocation. Through analyzing the travel direction distribution and direction entropy of three taxi trip datasets from Chengdu, New York City and Beijing, this research examines the relationship between travel behavior and city structure by analyzing travel direction patterns in urban mobility. The analysis reveals that travel direction distributions are influenced by city morphology, indicating a connection with urban shape and temporal factors. Moreover, spatial heterogeneity in travel direction entropy is across different city regions, highlighting varying levels of mobility chaos. Additionally, the analysis reveals temporal variations in travel direction entropy during weekdays, and weekends, reflecting temporal regularities in mobility. These findings contribute to a better understanding of population movement dynamics and inform urban planning and transportation management strategies. © 2023 IEEE.

关键词： Entropy

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