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7th International Conference on Advances in Visual informatics, IVIC 2021

作者： Khan, Ijaz Ahmad, Abdul Rahim Jabeur, Nafaa Mahdi, Mohammed Najah College of Graduate Studies Universiti Tenaga Nasional Kajang Malaysia Information Technology Department Buraimi University College Al-Buraimi Oman College of Computing and Informatics Universiti Tenaga Nasional Kajang Malaysia Computer Science Department German University of Technology Muscat Oman Institute of Informatics and Computing in Energy Universiti Tenaga Nasional Kajang Malaysia

ISBN: (纸本)9783030902346

Classification, a significant application of machine learning, labels each instance of the dataset into one of the predefined classes. Problems occur when the number of instances in the classes is not uniform. The exceptional lyuneven class distribution gives rise to class imbalancing issues which tend to demote the overall performance of the classifier. A set of data-level algorithms are available which are applied to adjust the class distribution. The class imbalancing emerges frequently in datasets from educational domains where the number of students with unsatisfactory performance general appears in low number comparing to the students with satisfactory outcomes. This paper applies a set of data-level sampling algorithms over a dataset taken from an educational domain. It underlines the consequences rising from classification with imbalanced dataset. This research confirms that a classification model achieving higher accuracy may not appear effective in correct identification of instances in minority class. Classification with an imbalance dataset may produce low recall, precision and F-Measure for classes with lower number of instances. The performance of classification model improves with application of data level algorithm. However, it highlights the supremacy of oversampling algorithm over undersampling algorithms. © 2021, Springer Nature Switzerland AG.

关键词： Students

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High isolation and gain metamaterial based MIMO antenna for 5G millimiter wave applications

High isolation and gain metamaterial based MIMO antenna for ...

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Circuit, systems and Communication (ICCSC), International Conference on

作者： Ouafae Elalaouy Bilal Aghoutane Mohammed El Ghzaoui Sudipta Das Jaouad Foshi Hanan El Faylali Faculty of Sciences and techniques Errachidia University of Moulay Ismail Errachidia Morocco Department of Computer Science Informatics Systems and Optimization Laboratory Faculty of Sciences IbnTofail University Kenitra Morroco Faculty of Sciences Dhar El Mahraz Sidi Mohamed Ben Abdellah University Fes Morocco Department of Electronics and Communication Engineering IMPS College of Engineering and Technology Malda W.B India

ISBN: (数字)9798350365306

ISBN: (纸本)9798350365313

In the contemporary era, harnessing millimeter-wave frequencies emerges as a compelling strategy to fulfill the swift data transfer requirements for $\mathbf{5 G}$ communications. Consequently, this study involves designing a metamaterial-based multiple-input multiple-output (MIMO) antenna with a focus on achieving high isolation and gain within the millimeter-wave spectrum. The suggested MIMO is printed on a Rogers RT5800 measuring $18 \times 38 \times 0.8 \mathrm{~mm}^{3}$. The single antenna element demonstrates a broad frequency coverage from 27.2 to $\mathbf{2 8. 7 2} \mathbf{G H z}$. To elevate the antenna’s effectiveness, a two-port MIMO configuration is implemented by introducing a second antenna element parallel to benchmark antenna. However, the isolation between the two elements is deemed satisfactory. To address this, a $4 \times 1$ metamaterial unit cell is introduced, significantly enhancing isolation from 31 dB to 39 dB at 28 GHz. Furthermore, it improves the gain by 0.5 dBi at 28 GHz, elevating it from 8.5 to 9 dBi. The collective features of the suggested two ports MIMO antenna, encompassing its compactness and simplicity, position it as an excellent option for upcoming portable and shrink devices in Internet of Things uses.

关键词： Performance evaluation Mutual coupling Millimeter wave devices Millimeter wave measurements Metamaterials Millimeter wave integrated circuits Broadband antennas

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Optimal AoI-based Block Propagation and Incentive Mechanism for Blockchain Networks in Web 3.0

arXiv

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arXiv 2024年

作者： Wen, Jinbo Kang, Jiawen Xiong, Zehui Du, Hongyang Yang, Zhaohui Niyato, Dusit Shen, Meng Jiao, Yutao Zhang, Yang The College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong The College of Information Science and Electronic Engineering Zhejiang University China The School of Computer Science and Engineering Nanyang Technological University Singapore The School of Cyberspace Science and Technology Beijing Institute of Technology China The College of Communications Engineering Army Engineering University of PLA China

Web 3.0 is regarded as a revolutionary paradigm that enables users to securely manage data without a centralized authority. Blockchains, which enable data to be managed in a decentralized and transparent manner, are key technologies for achieving Web 3.0 goals. However, Web 3.0 based on blockchains is still in its infancy, such as ensuring block freshness and optimizing block propagation for improving blockchain performance. In this paper, we develop a freshness-aware block propagation optimization framework for Web 3.0. We first propose a novel metric called Age of Block Information (AoBI) based on the concept of age of information to quantify block freshness. AoBI measures the time elapsed from the freshest transaction generation to the completion of block consensus. To make block propagation optimization tractable, we classify miners into five different states and propose a block propagation model for public blockchains inspired by epidemic models. Moreover, considering that the miners are bounded rational, we propose an incentive mechanism based on the evolutionary game for block propagation to improve block propagation efficiency. Numerical results demonstrate that compared with other block propagation mechanisms in public blockchains, the proposed scheme has a higher block forwarding probability, which improves block propagation efficiency and decreases the minimum value of average AoBI. Copyright © 2024, The Authors. All rights reserved.

关键词： Blockchain

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Thermo-mechanical energy storage technologies:Innovations,challenges and future directions

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能源前沿（英文） 2025年第2期19卷 115-116页

作者： Yao Zhao Mingjia Li Kai Wang Adriano Sciacovelli Chris Qin Steven Lecompte André D.Thess College of Smart Energy Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Non-carbon Energy Conversion and Utilization Institute Shanghai Jiao Tong UniversityShanghai 200240China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China Institute of Refrigeration and Cryogenics Zhejiang UniversityHangzhou 310027China Key Laboratory of Refrigeration and Cryogenic Technology of Zhejiang Province Zhejiang UniversityHangzhou 310027China Department of Civil and Mechanical Engineering Technical University of DenmarkKongens Lyngby 2800Denmark School of Engineering and Computer Science Washington State UniversityVancouverWA 98686USA Department of Electromechanical Systems and Metal EngineeringGhent UniversityGhent 9000Belgium Institute of Engineering Thermodynamics German Aerospace Center(DLR)Stuttgart 70569Germany University of Stuttgart Stuttgart 70569Germany

Thermo-mechanical energy storage(TMES)technologies are increasingly recognized as essential solutions for enhancing the efficiency and stability of energy systems,particularly in the integration of renewable energy *** technologies leverage the conversion between thermal,electrical and mechanical energy to store and release energy,providing an effective tool to address the intermittency and variability of renewable sources such as wind and *** editorial explores the fundamental principles,innovations,challenges,and future research directions of TMES technologies,with a focus on developments in compressed-air energy storage(CAES),liquid-air energy storage(LAES),Carnot battery/pumped-thermal energy storage(PTES),and carbon dioxide energy storage(CDES).

关键词： technologies future storage energy challenges directions innovations mechanical thermo

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Eltrack: Correlating Events and Language for Visual Tracking

SSRN

引用

SSRN 2024年

作者： Alansari, Mohamad Alnuaimi, Khaled Alansari, Sara Werghi, Naoufel Javed, Sajid Department of Electrical Engineering College Of Computing And Mathematical Sciences Department of Computer Science Khalifa University Abu Dhabi United Arab Emirates Center for Autonomous Robotic Systems Khalifa University Abu Dhabi United Arab Emirates Center for Cyber-Physical Systems Khalifa University Abu Dhabi United Arab Emirates

The reliance on visible cameras in Visual Object Tracking (VOT) presents challenges in handling rapid object movements and illumination variations. In contrast, event cameras, inspired by biological vision systems, capture asynchronous and sparse events with significantly lower latency. While visible cameras excel in perceiving texture details and slow motion, event cameras offer advantages such as freedom from motion blur and a larger dynamic range, making them suitable for fast motion and low illumination scenarios. Integrating these two sensor modalities can enhance the reliability of object *** paper addresses key challenges in event-based tracking and tracking by language descriptions. First, we tackle the scarcity of large-scale event-based benchmarks by leveraging the \textit{v2e} toolbox to synthesize event data from eight conventional frame-based benchmarks. This synthesized event data is then processed into a novel event image representation called Pseudo-Frames. Second, we mitigate the shortage of Natural Language (NL)-described datasets by employing the Visual-Language (VL) image-captioning module, comprising BLIP-2 and GPT-4, to generate captions for eight VOT benchmarks *** propose a multi-modal Visual-Language Object Tracking (VLOT) framework named ELTrack, which integrates RGB, event, and Natural Language Processing (NLP) modalities to enhance tracking performance. Our framework includes a simple superimpose fusion module that combines RGB frames with the proposed Pseudo-Frames, along with our VL image-captioning module to provide NL descriptions for the given sequences. Extensive experiments on our proposed framework demonstrate its effectiveness in addressing VOT challenges and achieving state-of-the-art (SOTA) performance across eight tracking *** datasets, NL descriptions, and source code associated with this work will be made available at: \url{https://***/HamadYA/ELTrack-Correlating-Events-and-Language-for

关键词： Cameras

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Navigating Real-World Challenges: A Quadruped Robot Guiding System for Visually Impaired People in Diverse Environments 24

Navigating Real-World Challenges: A Quadruped Robot Guiding ...

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Proceedings of the CHI Conference on Human Factors in Computing systems

作者： Shaojun Cai Ashwin Ram Zhengtai Gou Mohd Alqama Wasim Shaikh Yu-An Chen Yingjia Wan Kotaro Hara Shengdong Zhao David Hsu Computer Science National University of Singapore Singapore NUS-HCI Lab Department of Computer Science National University of Singapore Singapore Xinya College Tsinghua University China Mechanical Engineering Veermata Jijabai Technological Institute India Yale-NUS College Singapore Institute of Psychology Chinese Academy of Sciences China School of Computing and Information Systems Singapore Management University Singapore NUS-HCI Lab National University of Singapore Singapore

ISBN: (纸本)9798400703300

Blind and Visually Impaired (BVI) people find challenges in navigating unfamiliar environments, even using assistive tools such as white canes or smart devices. Increasingly affordable quadruped robots offer us opportunities to design autonomous guides that could improve how BVI people find ways around unfamiliar environments and maneuver therein. In this work, we designed RDog, a quadruped robot guiding system that supports BVI individuals’ navigation and obstacle avoidance in indoor and outdoor environments. RDog combines an advanced mapping and navigation system to guide users with force feedback and preemptive voice feedback. Using this robot as an evaluation apparatus, we conducted experiments to investigate the difference in BVI people’s ambulatory behaviors using a white cane, a smart cane, and RDog. Results illustrated the benefits of RDog-based ambulation, including faster and smoother navigation with fewer collisions and limitations, and reduced cognitive load. We discuss the implications of our work for multi-terrain assistive guidance systems.

关键词： assistive technology navigation orientation and mobility robot guide dog visual impairment

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Active RIS-Aided Massive MIMO With Imperfect CSI and Phase Noise

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IEEE Transactions on Wireless Communications 2025年

作者： Peng, Zhangjie Zhu, Jianchen Pan, Cunhua Zhang, Zaichen Da Costa, Daniel Benevides Elkashlan, Maged Karagiannidis, George K. Shanghai Normal University College of Information Mechanical and Electrical Engineering Shanghai200234 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Interdisciplinary Research Center for Communication Systems and Sensing Department of Electrical Engineering Dhahran31261 Saudi Arabia Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Greece Artificial Intelligence and Cyber Systems Research Center Lebanon

As a recently proposed reconfigurable intelligent surface (RIS) architecture, active RIS has drawn considerable interest. The important feature of the active RIS is its ability to strengthen the impinging signals to mitigate the multiplicative fading effect inherent in passive RIS-aided systems. Herein, we explore the performance of an active RIS-aided uplink multi-user massive multiple-input multiple-output (MIMO) system, considering the phase noise at the RIS. Furthermore, a two-timescale scheme is utilized, where the base station (BS) beamforming is designed based on the instantaneous aggregated channel state information (CSI), while the statistical CSI is used for designing the phase shifts of the active RIS. In addition, the linear minimum mean square error (LMMSE) estimator is adopted to estimate the aggregated channel, which combines both the cascaded and direct channels. According to the estimated channel, a closedform expression for the lower bound of achievable rate is derived. Based on the theoretical expressions, the power scaling laws for the considered system are also investigated. Specifically, when each user’s transmit power is proportionally reduced by the quantity of BS antennas M or RIS elements N, we find that the amplified thermal noise causes the lower bound of the achievable rate to approach zero as M or N tends to infinity. Moreover, an optimization approach based on a genetic algorithm (GA) is introduced to obtain the optimal phase shifts for maximizing the achievable rate. Numerical results reveal that the active RIS can greatly enhance the performance of the massive MIMO system compared to its passive counterpart. © 2002-2012 IEEE.

关键词： Genetic algorithms

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Fighting COVID-19 and Future Pandemics With the Internet of Things:Security and Privacy Perspectives

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IEEE/CAA Journal of Automatica Sinica 2021年第9期8卷 1477-1499页

作者： Mohamed Amine Ferrag Lei Shu Kim-Kwang Raymond Choo Department of Computer Science Guelma UniversityB.P.40124000Algeria College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210095Chinaand also with the School of EngineeringUniversity of LincolnLincoln LN67TSUK Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX 78249-0631 USA

The speed and pace of the transmission of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2;also referred to as novel Coronavirus 2019 and COVID-19)have resulted in a global pandemic,with significant health,financial,political,and other *** have been various attempts to manage COVID-19 and other pandemics using technologies such as Internet of Things(IoT)and 5G/6G ***,we also need to ensure that IoT devices used to facilitate COVID-19 monitoring and treatment(e.g.,medical IoT devices)are secured,as the compromise of such devices can have significant consequences(e.g.,life-threatening risks to COVID-19 patients).Hence,in this paper we comprehensively survey existing IoT-related solutions,potential security and privacy risks and their *** example,we classify existing security and privacy solutions into five categories,namely:authentication and access control solutions,key management and cryptography solutions,blockchain-based solutions,intrusion detection systems,and privacy-preserving *** each category,we identify the associated *** also identify a number of recommendations to inform future research.

关键词： Blockchain COVID-19 healthcare privacy SARS-CoV-2 security

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Research Artifacts in Software Engineering Publications: Status and Trends

arXiv

引用

arXiv 2024年

作者： Liu, Mugeng Huang, Xiaolong He, Wei Xie, Yibing Zhang, Jie M. Jing, Xiang Chen, Zhenpeng Ma, Yun Ministry of Education School of Computer Science Peking University Beijing China School of Software and Microelectronics Peking University Beijing China Department of Informatics King’s College London London United Kingdom National Key Laboratory of Data Space Technology and System Beijing China School of Computer Science and Engineering Nanyang Technological University Singapore Singapore Institute for Artificial Intelligence Peking University Beijing China

The Software Engineering (SE) community has been embracing the open science policy and encouraging researchers to disclose artifacts in their publications. However, the status and trends of artifact practice and quality remain unclear, lacking insights on further improvement. In this paper, we present an empirical study to characterize the research artifacts in SE publications. Specifically, we manually collect 1,487 artifacts from all 2,196 papers published in top-tier SE conferences (ASE, FSE, ICSE, and ISSTA) from 2017 to 2022. We investigate the common practices (e.g., URL location and format, storage websites), maintenance activities (e.g., last update time and URL validity), popularity (e.g., the number of stars on GitHub and characteristics), and quality (e.g., documentation and code smell) of these artifacts. Based on our analysis, we reveal a rise in publications providing artifacts. The usage of Zenodo for sharing artifacts has significantly increased. However, artifacts stored in GitHub tend to receive few stars, indicating a limited influence on real-world SE applications. We summarize the results and provide suggestions to different stakeholders in conjunction with current guidelines. © 2024, CC BY.

关键词： Software engineering

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Impact of IoT on Remote Patient Monitoring and Advancements in Telemedicine

Impact of IoT on Remote Patient Monitoring and Advancements ...

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Intelligent Cyber Physical systems and Internet of Things (ICoICI), International Conference on

作者： Dankan Gowda V Devendra Joshi Senthil kumar C Madasamy Raja. G Srinivas. D Mohammad Habeeb Department of Electronics and Communication Engineering BMS Institute of Technology and Management Bangalore Karnataka Department of Computer Engineering and Technology School of Computer Science and Engineering Dr. Vishwanath Karad MIT World Peace University Kothrud Pune India Department of Information Technology School of Computer Science Engineering & Information Systems Vellore Institute of Technology Vellore India Department of Information Technology Paavai Engineering College Namakkal Tamilnadu India School of business SR University Warangal Telangana India Pharmaceutics Crescent School of Pharmacy BS Abdur Rahman Crescent Institute of Science and Technology Vandalur Tamilnadu India

ISBN: (数字)9798331540661

ISBN: (纸本)9798331540678

The improvements brought by IoT are that now people's health can be monitored continuously, the usage of telemedicine has become possible. In this paper, the authors address the conceptualization and deployment of an IoT system targeted at constant real-time dynamic monitoring of patients' vital signs as well as offering online consultations by doctors and other healthcare practitioners. Wearable health devices are used to collect health information which is relayed to a gateway device, and is thereafter analyzed and stored in the cloud. As shown in the proposed study, the outlined system achieves a transmission rate of 98 percent for data and 92 percent for the applied predictive analytics while successfully addressing the concept of anomalies. Furthermore, patients expressed a great satisfaction level based on the ground that consultations through telemedicine were successfully implemented in 95% of the total cases. As a result of these studies, IoT's application in improving the quality of care, accessibility of health services and the effectiveness of the overall health systems are established. The paper also presents the conclusion and recommendation for the further study of these findings and for improving the interactivity of the system that used the hybrid deep learning model, which should involve the incorporation of more advanced models of the machine learning algorithm into the design of the system and stronger security measures of the data.

关键词： Patient monitoring Telemedicine Medical services Predictive models Data models Safety Reliability Security Biomedical monitoring Usability

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