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26th ACM Conference on computer-Supported Cooperative Work and Social Computing, CSCW 2023

作者： Hansson, Karin Bardzell, Shaowen Bhandari, Aparajita Boulicault, Marion Doyle, Dylan Thomas Erete, Sheena Cerratto Pargman, Teresa Lazem, Shaimaa Muller, Michael Normark, Maria Petterson, Adrian Rosén, Anton Poikolainen Taylor, Alex S. Thomas, Jakita O. Watson, Julia Södertörn University The School of Natural Sciences Technology and Environmental Studies Sweden Georgia Institute of Technology The School of Interactive Computing United States Cornell University Department of Communication United States University of Edinburgh Department of Philosophy United States University of Colorado Boulder Department of Information Science United States University of Maryland College of Information United States Stockholm University The Department of Computer and Systems Sciences Sweden City for Scientific Research and Technological Applications The Informatics Research Institute Egypt Ibm Research Human Centered Ai United States Uppsala University Department of Informatics and Media Sweden University of Toronto Faculty of Information Canada Aalto University The School of Arts Design and Architecture Finland City University of London The Centre for Human Computer Interaction Design United Kingdom Auburn University Department of Computer Science and Software Engineering United States University of Toronto Department of Computer Science Canada

ISBN: (纸本)9798400701290

This one-day hybrid workshop builds on previous feminist CSCW workshops to explore feminist theoretical and methodological approaches that have provided us with useful tools to see things differently and make space for change. Since its inception over a decade ago, feminist HCI has progressed from the margins to mainstream HCI, with numerous references in the literature. Feminist HCI has also evolved to incorporate other critical HCI practices such as Queer HCI, participatory design, and speculative design. While feminist approaches have grown in popularity and become mainstream, it is getting more difficult to distinguish the feminist emancipatory core from other attempts of developing and improving society in various ways. In this workshop, we therefore want to revisit our feminist roots, where theory is a liberatory and creative practice, motivated by affect, curiosity, and wonder. From this standpoint, we consider which of our feminist tools can make a significant difference today, in a highly datafied world. The goal of this workshop is to;1) create an inventory of feminist theories and concepts that have had an impact on our work as designers, educators, researchers, and activists;2) develop a feminist toolbox for the CSCW community to strengthen our feminist literacy. © 2023 Owner/Author.

关键词： Computation theory

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Image super resolution using Enhanced Attention Block (EAB) for Grape Leaf Disease Detection

Image super resolution using Enhanced Attention Block (EAB) ...

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International Conference on computer Applications In Electrical Engineering-Recent Advances (CERA)

作者： P.V. Yeswanth Y Thanya S Deivalakshmi K M Lokesh Kumar Johaan George Department of Electronics and communication engineering National Institute of Technology Tiruchirappalli India Department of Computer and communication engineering Amrita Vishwa Vidyapeetham Chennai India Department of Ocean engineering and Naval Architecture Indian Insitute of Technology Kharagpur India

Accurate disease diagnosis in grape leaf analysis is heavily reliant on high-resolution (HR) images. To meet this need, we propose a model that incorporates the Enhanced Attention Block (EAB) to generate HR images for improved disease detection. The EAB employs advanced attention mechanisms and residual learning to effectively capture critical, spatial and channel-wise relationships. Proposed model is assessed using PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index) metrics, yielding PSNR scores of 31. 902dB, 32.785dB, and 34. 853dB, and SSIM score of 0.8709, 0.9058, and 97.46 for factors 2,4 and 6 respectively. This proposed approach holds great potential for widespread implementation in disease detection across various plant species, allowing for timely and accurate interventions for plant health management and increasing industry productivity.

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Reliable Multihop Routing and Congestion Aware Chicken Swarm Optimization in Vehicular Ad-Hoc Network 3

Reliable Multihop Routing and Congestion Aware Chicken Swarm...

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3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Anitha, Cuddapah Al-Tarazi, Dalia Vignesh, G.D. Vasuki, A. Vinotha Giri, Jayant Dinesh, M. School of Computing Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College Department of Computer Science and Engineering Tirupati India Zarqa University Faculty of Engineering Department of Architecture Engineering Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia St. Joseph's College of Engineering Department of Electronics and Communication Engineering Chennai India J.P. College of Engineering Department of Computer Science and Engineering Tenkasi India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Department of Vlsi Microelectronics Chennai India

ISBN: (纸本)9798331508456

Background: Vehicular Ad Hoc Networks (VANETs) play a crucial role in intelligent transportation by facilitating communication between vehicles and vehicles with infrastructure-based models. They encounter problems such as significant movement, overcrowding, and loss of data. This research presents a novel deep reinforcement learning-based resource allocation and congestion optimization (DRLRCO) framework aimed at improving communication efficiency and high reliability using an effective learning process. Method Used: The DRLRCO framework employs agent-based learning to ensure precise data transmission, AdMAC Protocol for dynamic packet delivery, and Congestion-Aware Chicken Swarm Optimization (CSO) to enhance network performance. Result: The DRLRCO framework surpasses reinforcement learning models for comprehensive testing. Significant enhancements involve improved accuracy, reduced data loss, minimized overhead, increased throughput, and shorter average delays for real-time communication. Conclusion: The DRLRCO framework successfully tackles congestion and data loss in vehicular communication. Future studies might involve Artificial Intelligence (AI) for traffic forecasting, experimentation among high-speed vehicles and investigating blockchain for enhanced security. © 2025 IEEE.

关键词： Deep reinforcement learning

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Decomposition of the unit test generation task for parallel computations 16

Decomposition of the unit test generation task for parallel ...

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16th IEEE International Conference on computer Science and Information Technologies, CSIT 2021

作者： Bazylevych, Roman Czarnul, Pawel Franko, Andrii Lviv Polytechnic National University Department of Software Lviv Ukraine Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Department of Computer Architecture Gdansk Poland

ISBN: (纸本)9781665442572

A decomposition of unit test generation task for symbolic execution has been considered. The process has been divided into the subtasks: code parsing, paths generation, path analysis, constraints analysis and test generation. The code parsing and path generation time have been investigated. The dependency between time and input size is close to be linear on code parsing and test path generation. It has been shown that path generation takes almost three times larger time than code parsing. The results will be used for load-balancing of unit test generators based on symbolic execution. © 2021 IEEE.

关键词： Regression analysis

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Low-Cost Method for Effective Conductivity Improvement of Additively Manufactured All-Metal Waveguide Components

Low-Cost Method for Effective Conductivity Improvement of Ad...

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European Conference on Microwave

作者： Jakub Sorocki Ilona Piekarz Michal Baranowski Adam Lamecki Alberto Cattenone Stefania Marconi Gianluca Alaimo Nicolo Delmonte Lorenzo Silvestri Maurizio Bozzi Institute of Electronics AGH University of Krakow Poland Department of Microwave and Antenna Engineering Gdansk University of Technology Poland Department of Civil Engineering and Architecture University of Pavia Italy Department of Electrical Computer and Biomedical Engineering University of Pavia Italy

ISBN: (数字)9782874870774

ISBN: (纸本)9798350385892

In this paper, a low-cost method of 3D printed all-metal waveguide effective conductivity improvement is proposed and studied. The approach is a combination of internal surface polishing to reduce the roughness followed by coating a high-conductivity layer through electroplating. Both methods allow to reduce total power losses within the waveguide which are impacted by the conductivity of the metal. A set of mm-wave test vehicles was developed in WR-28 geometry (26.5 GHz to 40 GHz) being a straight and twisted transmission line section along with a narrowband filter to experimentally validate the approach. The models were 3D printed using Powder Bed Fusion out of stainless-steel powder, dry polished using glass microbeads, and then coated with copper. Up to 40% power loss reduction was obtained with respect to raw prints proving the performance of the approach.

关键词： Geometry Powders Three-dimensional displays Surface waves Masers Waveguide lasers Conductivity Surface roughness Rough surfaces Microwave filters

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Potential implementation of EVs - Features, Challenges and User perspective

Potential implementation of EVs - Features, Challenges and U...

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2021 IEEE Green Energy and Smart Systems Conference, IGESSC 2021

作者： Alotaibi, Saleh Omer, Siddig Aljarallah, Sulaiman Su, Yuehong University Of Nottingham Faculty Of Engineering Department Of Architecture And Built Environment Nottingham United Kingdom Zulfi College Of Technology Department Of Computer Science Riyadh Saudi Arabia

ISBN: (纸本)9781665434560

Sustainable transportation has become an important consideration for countries seeking to reduce carbon emissions. Electric vehicles (EVs) are seen as a cornerstone of the transformation toward sustainability within the transportation sector;however, research on large-scale EVs' implementation to aid carbon emission reduction is sparse. Doubts have been raised concerning the effectiveness of EVs in satisfying sustainability in all of its dimensions: economic, social and environmental. Since achieving balanced sustainability requires an understanding of end-users' requirements, a mixed-methods empirical study surveyed end-users' perceptions of the desirable characteristics of EVs, using Saudi Arabia as a case study. Data gathered from 1012 respondents were analyzed to examine and rank their preferences, allowing the identification of a set of key features likely to influence Saudi citizens' utilization of EVs. Quantitative findings indicate that the features perceived as most significant were availability of charging stations and EV travelling distance. Other features which are also found important include aesthetics, maintenance costs, and charging cost, whereas end-users had low concern for branding and resale value. Thematic analysis of qualitative data shows that the most significant themes were security, localization of the EVs industry, charging energy sources, and self-driving. These results may serve as a framework to replicate the study in other countries, taking relevant inherent factors into account. © 2021 IEEE.

关键词： Sustainable development

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Evaluation of Critical Factors in Urban Matrix Environment from the Perspective of Ecological Design

Evaluation of Critical Factors in Urban Matrix Environment f...

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2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022

作者： Hou, Yi-You Liu, Kuang-Sheng Lin, Jiun-Hung Lin, Ming-Hung Tin, Lou-Yang National Kaohsiung University of Science and Technology Department of Intelligent Commerce Kaohsiung City Taiwan Cheng Shiu University Department of Architecture and Interior Design Kaohsiung City Taiwan College of Electrical Engineering and Computer Science National Kaohsiung University of Science and Technology Kaohsiung City Taiwan Cheng Shiu University Department of Electrical Engineering Kaohsiung City Taiwan

ISBN: (数字)9781665495875

ISBN: (纸本)9781665495875

The ecological environment of human-centered habitats, cities, is gradually emphasized that the idea of sustainable development is proposed to stress on the integration of development and conservation. Besides, under current resource-applied environment, long-term management of resources is planned and used for preventing resources from shortage. Current development of urban central areas is about saturated, and the rapid expansion of urban fringe is about out of control. Effective recovery of urban landscape ecological structure and function as well as retention, restoration, and regeneration of urban natural environment to balance urban ecosystem and natural ecosystem are primary issues to improve urban environmental quality. Aiming at residents in Kaohsiung City, as the questionnaire objects, 360 copies of questionnaire are distributed as the research samples, and 294 valid copies are retrieved, with the retrieval rate 82%. The research results show *** ecology as the most emphasized dimension in the evaluation of urban matrix environment from the perspective of ecological design, and *** five mostly emphasized indicators, among 20, are green coverage ratio, provision of learning opportunities, diversity of plant species, recoverable materials, and participation ways. According to the results to propose the conclusion. It is expected to dig out specific opportunities for the sustainable use and development of urban matrix and to develop a complete and systematic landscape ecological network, with the combination with other landscape elements, to promote urban ecological quality. © 2022 IEEE.

关键词： Ecosystems

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Wearable and interactive multicolored photochromic fiber display

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Light(Science & Applications) 2024年第3期13卷 454-465页

作者： Pan Li Yuwei Wang Xiaoxian He Yuyang Cui Jingyu Ouyang Ju Ouyang Zicheng He Jiayu Hu Xiaojuan Liu Hang Wei Yu Wang Xiaoling Lu Qian Ji Xinyuan Cai Li Liu Chong Hou Ning Zhou Shaowu Pan Xiangru Wang Huamin Zhou Cheng-Wei Qiu Yan-Qing Lu Guangming Tao State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and Engineering and Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Vascular Aging(HUST) Ministry of EducationWuhan 430030China School of Optoelectronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and ManipulationCollege of Engineering and Applied Sciencesand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210023China School of Performing Arts Wuhan Conservatory of MusicWuhan 430060China School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China School of Architecture and Urban Planning Huazhong University of Science and TechnologyWuhan 430074China School of Fashion Beijing Institute of Fashion TechnologyBeijing 100029China School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Tongji Medical College Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent,wearable interactive ***,significant challenges remain in developing fiber devices when it comes to achieving uniform and customizable light effects while utilizing lightweight ***,we introduce a mass-produced,wearable,and interactive photochromic fiber that provides uniform multicolored light *** designed independent waveguides inside the fiber to maintain total internal reflection of light as it traverses the *** impact of excessive light leakage on the overall illuminance can be reduced by utilizing the saturable absorption effect of fluorescent materials to ensure light emission uniformity along the transmission *** addition,we coupled various fluorescent composite materials inside the fiber to achieve artificially controllable spectral radiation of multiple color systems in a single *** prepared fibers on mass-produced kilometer-long using the thermal drawing *** fibers can be directly integrated into daily wearable devices or clothing in various patterns and combined with other signal input components to control and display patterns as *** work provides a new perspective and inspiration to the existing field of fiber display interaction,paving the way for future human–machine integration.

关键词： fiber interactive colored

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Plant Disease Detection and Classification Using Transfer Learning

Plant Disease Detection and Classification Using Transfer Le...

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Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： S. Karthigaiveni Madhubala. C G. Avinash E. Saranya P. Rohini G. Yogapriya Department of Electronics and Communication Engineering Chennai Institute of Technology Chennai India Department of Information Technology Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai Tamilnadu India School of Environment and Architecture Design SRM Institute of Science and Technology Chennai Tamilnadu India Department of Computer Science Engineering Sri Eshwar College of Engineering Chennai India Department of Computer Science and Engineering Saranathan College of Engineering Trichy Tamilnadu Chettinad School of Architecture Chettinad Academy of Research and Education Chennai Tamilnadu India

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

Agriculture is a fundamental component of human civilization. It contributes to the economy while also providing sustenance. Plant foliage or crops are susceptible to many illnesses during agricultural agriculture. The illnesses impede the development of their respective species. Timely and accurate identification and categorization of illnesses may mitigate the risk of further harm to the plants. The identification and categorization of these disorders have emerged as significant challenges. The conventional methods used by farmers to forecast and identify plant leaf diseases may be tedious and inaccurate. Challenges may occur while endeavoring to manually forecast illness kinds. The failure to promptly identify and categorize plant diseases may lead to the devastation of crops, causing a substantial reduction in yield. Farmers using automated image processing techniques in their fields may mitigate losses and enhance productivity. This study proposes using a deep learning framework utilizing the latest convolutional neural network model EfficientNet to identify tomato illnesses based on 18,161 plain and segmented photos of tomato leaves. The efficacy of two segmentation theories, namely U-net and Modified U-net, for leaf segmentation is shown. The proposed methodology for plant disease identification is straightforward and computationally efficient, necessitating less time for predictions compared to previous deep learning methodologies. This document presents the computed accuracies for several plant and leaf diseases.

关键词： Deep learning Productivity Plant diseases Image segmentation Accuracy Computational modeling Transfer learning Crops Agriculture Robustness

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Implementation of Cloud Computing and Internet of Things (IoT) by Performance Evaluation

Implementation of Cloud Computing and Internet of Things (Io...

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International Electrical Engineering Congress (iEECON)

作者： Jiran Sithiyopasakul Tuanjai Archevapanich Saran Sithiyopasakul Attasit Lasakul Boonchana Purahong Chawalit Benjangkaprasert School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Electronics and Communication Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi Nonthaburi Thailand Department of Computer Engineering School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

The integration of cloud computing and the Internet of Things (IoT) holds transformative potential across diverse industries. Performance assessment is essential to gauge the quality and efficiency of cloud computing and IoT systems. This paper presents a comprehensive performance evaluation of cloud computing and IoT systems, focusing on three major platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Experimental results encompass various scenarios, including normal operation, heavy load conditions, IoT applications, and scalability testing. The outcomes reveal distinct performance metrics such as response time, throughput, latency, and reliability for each cloud platform.

关键词： Performance evaluation Cloud computing Web services System performance Throughput Internet of Things Time factors

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