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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： Wang, Yong Zhang, Hao Zhang, Qi Zhejiang University of Technology College of Computer Science and Technology Hangzhou China

ISBN: (纸本)9781665405270

Traditional smoke sensors are limited by the measurement principle and generally can only measure the smoke concentration in a local area. With the development of image processing technology, spatial non-contact smoke concentration measurements have become possible. This research innovatively proposes an image-based spatial smoke concentration detection method that combines HSL color space and dark channel prior theory. First, we adjusted the brightness of a smoke image in the HSL color space, and then improved the calculation method of atmospheric light in the dark channel prior to obtain a more accurate transmission. We used the actual measured data as a sample to perform our experiments. Four image features, including transmission, saturation, Weber contrast of luminance, and colorfulness, were selected to train the support vector regression. The experimental results showed that the proposed model was effective and the image smoke concentration calculated based on the proposed model yielded a higher level of accuracy than did similar algorithms. © 2022 IEEE.

关键词： Luminance

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Make It Easy: Action Quality Assessment of Cyborg Animals Based on Spatial-Temporal Pose Inference 10

Make It Easy: Action Quality Assessment of Cyborg Animals Ba...

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10th IEEE Smart World Congress, SWC 2024

作者： Li, Qiqi Han, Le Wang, Pengfei Zheng, Nenggan Zhejiang University Qiushi Academy for Advanced Studies College of Computer Science and Technology Hangzhou China Zhejiang University School of Software Technology Hangzhou China Zhejiang University Qiushi Academy for Advanced Studies The State Key Lab of Brain-Machine Intelligence College of Computer Science and Technology Hangzhou China Bengbu University Bengbu China

ISBN: (纸本)9798331520861

Assessing the action quality of cyborg animals helps to adjust control strategies, guide the development of control algorithm, and enhance the efficiency of navigation and military applications. However, existing research is limited in control algorithm and ignores the assessment of movement smoothness. In this paper, we first propose EASY, an effective assessment framework, which is able to (i) evaluate the action quality of cyborg animals of various sizes and motion patterns;(ii) obtain assessment results directly based on keypoints. Specifically, EASY first captures keypoints sequences through a small object pose estimation module. It employs the convolutional block attention module (CBAM) and depthwise over parameterized convolution (DOConv), allowing more accurate feature recognition with fewer parameters. Then, EASY employs multi-field fusion strategy that merges commonalities and differences, enabling a comprehensive and accurate assessment of fluency. We tested EASY on both CyborgRat-MFA dataset and CyborgBee-MFA dataset. Extensive experiments demonstrate that the assessment results are consistent with human expert scores, which prove that our proposed EASY is reasonable, effective, and interpretable. © 2024 IEEE.

关键词： action quality assessment cyborg animals electrical stimulation control motion fluency

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Complexity science and Cyber Operations: A Literature Survey

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Complex System Modeling and Simulation 2023年第4期3卷 327-342页

作者： Briant Becote Bhaskar Prasad Rimal Technology Department Florida State College at JacksonvilleJacksonvilleFL 32202USA Department of Computer Science University of IdahoMoscowID 83844USA

Complexity science is an interdisciplinary scientific field that analyzes systems as holistic entities consisting of characteristics beyond the sum of a system’s individual *** paper presents current research across the literature promoting cyber security as a complex adaptive *** introduce complex systems concepts and fields of study,and deliver historical context,main themes,and current research relevant to cyber *** of cyber operations research leveraging agent-based modeling demonstrate the power of computational modeling grounded in complex systems *** discuss cyber operations as a scientific field,define current shortfalls for scientific rigor,and provide examples of how a complexity science foundation can further research and practice across a variety of cyber-based *** propose standard definitions applicable to complex systems for cyber professionals and conclude with recommendations for future cyber operations research.

关键词： cybersecurity cyberwarfare modeling simulation agent-based modeling(ABM)

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Smart-Fragile Authentication Scheme for Robust Detecting of Tampering Attacks on English Text

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computers, Materials & Continua 2022年第5期71卷 2497-2513页

作者： Mohammad Alamgeer Fahd N.Al-Wesabi Huda G.Iskandar Imran Khan Nadhem Nemri Mohammad Medani Mohammed Abdullah Al-Hagery Ali Mohammed Al-Sharafi Department of Information Systems King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaKSA

Content authentication,integrity verification,and tampering detection of digital content exchanged via the internet have been used to address a major concern in information and communication *** this paper,a text zero-watermarking approach known as Smart-Fragile Approach based on Soft Computing and Digital Watermarking(SFASCDW)is proposed for content authentication and tampering detection of English text.A first-level order of alphanumeric mechanism,based on hidden Markov model,is integrated with digital zero-watermarking techniques to improve the watermark robustness of the proposed *** researcher uses the first-level order and alphanumeric mechanism of Markov model as a soft computing technique to analyze English ***,he extracts the features of the interrelationship among the contexts of the text,utilizes the extracted features as watermark information,and validates it later with the studied English text to detect any *** has been implemented using PHP with VS code *** robustness,effectiveness,and applicability of SFASCDW are proved with experiments involving four datasets of various lengths in random locations using the three common attacks,namely insertion,reorder,and *** SFASCDW was found to be effective and could be applicable in detecting any possible tampering.

关键词： Watermarking soft computing text analysis hidden Markov model content authentication

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Accelerating Deeply Cascaded Convolutional Networks for MRI Reconstruction via Pixel-Unshuffle Caused Feature Squeezing

Accelerating Deeply Cascaded Convolutional Networks for MRI ...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Chen, Zhi-Jie Xing, Tianyi Zhou, Qianwei Hu, Haigen Li, Xiao-Xin Zhejiang University of Technology College of Computer Science and Technology Hangzhou China

ISBN: (纸本)9781665468190

Network acceleration is very important for Magnetic Resonance Imaging (MRI) reconstruction, as the device-specific retraining of a given network is usually necessary to overcome the scanner transfer problem. We propose a novel framework, namely PU-Network-PS (UNS), to accelerate the Deeply Cascaded Convolutional Networks (DCCNs) for MRI reconstruction, where Pixel Unshuffle (PU) and Pixel Shuffle (PS) are imposed at the two ends of DCCNs, respectively. Our UNS accelerates DCCNs by first decomposing the zero-filled MRI images of DCCNs into several sub-images via using PU, which are dubbed PU-channels and will make DCCNs mainly run in a low-resolution space and thus obtain high computation efficiency. However, directly using PU-channels might lead to unstable performance due to the lost spatial correlations between PU-channels. We discovered that the PU-channels can be organized into different groups according to their mutual similarities and presented a novel Multi-Scale Cross Group Convolution to fully fuse their complementary information. We further integrated into UNS the ensemble learning scheme in the PS stage to boost performance. Experiments on the IXI dataset demonstrated that our UNS can enhance both the reconstruction performance and the running efficiency for both simple and complex DCNN models. Specially, the training time for DuDoRNet can be greatly reduced from three days to about 20 hours with small performance enhancements by using two NVIDIA RTX 2080Ti GPUs. © 2022 IEEE.

关键词： Convolution

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Lane-Level Traffic Flow Prediction Based on Dynamic Graph Generation 23

Lane-Level Traffic Flow Prediction Based on Dynamic Graph Ge...

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23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data science and systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wang, Lingyun Shen, Guojiang Yu, Kaifeng Ji, Zhanhao Kong, Xiangjie College of Computer Science and Technology Zhejiang University of Technology Hangzhou China

ISBN: (纸本)9781665494571

The Intelligent Transportation System (ITS) plays a critical role in the development of smart cities, and the traffic control capability of ITS requires accurate traffic flow prediction as the footstone. Due to the neglect of the dissimilarities between lanes, existing traffic flow prediction methods like T-GCN are intractable to capture the dynamic changes of traffic flow direction, lane relationship, etc. Therefore, studies are shifting their concern to lane-level traffic flow prediction for tackling with more complicated scenarios. However, how to handle temporal-spatial correlation and model heterogeneous data effectively is still a challenge. In this paper, we propose a heterogeneous graph convolution model based on dynamic graph generation to address the issue. The model consists of three components. The internal graph convolution network captures the real-time spatial dependency between lanes in terms of generated dynamic graphs. The external heterogeneous data fusion network comprehensively considers other parameters such as lane speed, lane occupancy, and weather conditions. The codec neural network utilizes a temporal attention mechanism to capture the deep temporal dependency. Substantial experiments based on two real-world datasets indicate that the proposed heterogeneous graph convolution model can improve prediction accuracy. © 2021 IEEE.

关键词： Codecs Convolution Smart cities Roads Road side unit Transfer learning Data integration

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Emergence of Quantum-Enabled 6G Model for Computational Efficiency Retention 5th

Emergence of Quantum-Enabled 6G Model for Computational Effi...

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5th Doctoral Symposium on Computational Intelligence, DoSCI 2024

作者： Shukla, Aastha Verma, Tanisha Mishra, Sushruta Rathore, Rajkumar Singh Alkhafaji, Mohammed Ayad Kalinga Institute of Industrial Technology Bhubaneswar India Department of Computer Science Cardiff Metropolitan University Cardiff United Kingdom College of Technical Engineering National University of Science and Technology DhiQar Nasiriyah64001 Iraq

ISBN: (纸本)9789819771776

With the exponential growth of mercantile 5G installation, experimentation into B5G and 6G has kicked off solemnly. However, it is too ahead of time to say what will 6G resemble to, it is assured that 6G systems will hold up creative instances with complicated Key Performance Indicators (KPIs) that can be assured through enabling new advances and network designs. In connection to expansion of 5G, QIT is also surging in the field of quantum computing. QIT is awaited to heighten the approaching 6G network with regard to computing and connectivity. The privacy offered by 6G can be improved by using reliable quantum communications including the transmission of quantum keys. The motive of this study is to present a technologically-inclined and futuristic explanation of potential applications of QIT for next-generation 6G networks. This study defined a quantum enabled model for 6 g networks with an optimum mean accuracy of 92.3% and a least mean response delay of only 2.1 s. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Quantum computers

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A novel approach to detect, analyze and block adversarial web pages

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International Journal of Information technology (Singapore) 2024年第6期16卷 3617-3622页

作者： Kumar, M. Ranjith Naik, Darshana A. Kapila, Neha Mohan, Chinnem Rama Prasad, Ch Raghava Shelke, Chetan Rao, C. V. Guru School of Computer Science and Engineering Vellore Institute of Technology Department of Computer Science and Engineering M S Ramaiah Institute of Technology Department of Electronics and Electrical Engineering Lovely Professional University Department of Computer Science and Engineering Narayana Engineering College Electronics and Communication Engineering Koneru Lakshmaiah Education Foundation Alliance College of Engineering and Design Alliance University School of CS & amp AI SR Universtity

The phenomenon of distraction is very common, and its adverse effects are seen among people. The major cause underlying this issue is the ease with which adversarial web sites and web pages can be accessed. It is of utmost importance to locate, evaluate, and actively block such web pages in an effort to comprehensively and globally solve this societal issue. Thus, the given paper proposes an extension or plug-in to detect, analyze, and block websites smartly. The proposed approach takes keywords entered by the user as input into consideration, which eventually leads to the generation of web pages and web links. The filtering of web links is done by the proposed extension, followed by the extraction of features, the utilization of support vector machines (SVM) for binary classification, and the summarization of textual data using natural language processing (NLP). Lastly, the precise results corresponding to relevant web links are presented to the users, which will increase their productivity, thereby reducing their distraction levels under all working circumstances. The performance of the proposed approach is validated against existing recent studies based on evaluation metrics such as adversarial website detection time (ms) and accuracy (%). © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Adversarial web pages Distraction Natural language processing (NLP) Support vector machine (SVM) Text summarization

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Design and Implementation of Solar Powered Smart Irrigation Using IoT 8

Design and Implementation of Solar Powered Smart Irrigation ...

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8th IEEE International Conference on science, technology, Engineering and Mathematics, ICONSTEM 2023

作者： Santhosh Kumar, C. Brindasri, S. Krishnamoorthy, J. Vidhya, B. Saranya, G. Madhan, K. Er.Perumal Manimekalai College of Engineering Department of Computer Science and Engineering Hosur India Hindustan Institute of Technology and Science Department of Computer Science and Engineering India Sri Krishna College of Technology Department of ECE Coimbatore India Mailam Engineering College Department of Computer Science and Engineering Mailam India

ISBN: (纸本)9798350347791

The farming is one concerning the indispensable assets due to the fact of advent of ingredients but assumes sizeable portion about the economic regulation about each and every United States on America via which include after Today, coast owners hold a snack troubles within agribusiness appropriate according to the fact of non-appearance about downpours after shortage about water. So, between that task, we wish raise external computerized wind law case due to the fact bank lords as like intention maintain time, value then after on Manual inclusion is wished due to the fact the farmland strategies. By construction use over soil humidity sensor degrees involving ground dampness/mugginess may additionally keep checked. At some also is an harmony the trade yet sends signal in conformity over the microcontroller or relying upstairs that the cloud provision framework works. Robotized cloud government litigation uses valves in accordance in accordance with Engines work continue to be robotized effectively by using construction use of regulators yet no assistance over guide intervention among accordance about flirt apparatus ON then OFF. © 2023 IEEE.

关键词： Internet of things

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Real-time Stream Processing in IoT Environments 9

Real-time Stream Processing in IoT Environments

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9th International Conference on science, technology, Engineering and Mathematics, ICONSTEM 2024

作者： Rajasekar, P. Bhosale, Rupali Shekar Indhumathi, C. Sandeep, K.V. Prasanthi Kumari, N. Rajendiran, M. School of Computing Srm Institute of Science And Technology Department of Data Science And Business Systems Tamil Nadu Kattankulathur603203 India Bharati Vidyapeeth Institute of Technology Department of Electronics And Telecommunication Engineering Maharashtra Navi Mumbai400614 India Rmk College of Engineering And Technology Department of Computer Science And Business Systems Tamil Nadu Puduvoyal601206 India Dayananda Sagar College of Engineering Department of Electronics & Telecommunication Engineering Karnataka Bengaluru560111 India School of Computer Sciences University of Petroleum And Energy Studies Uttarakhand 248007 Dehradun India Panimalar Engineering College Department of Computer Science And Engineering Tamil Nadu Chennai600123 India

ISBN: (纸本)9798350365092

New IoT devices generate massive real-time data. Fast, real-time stream processing is needed for IoT data insight extraction. There are pros and downsides to real-time stream processing for the Internet of Things (IoT). This article analyzes present methods and technologies. The inquiry begins with large-scale, real-time IoT data analysis. Real-time analytics and bulk processing limits are important for IoT decision-making. We then investigate IoT stream processing frameworks, methodologies, and systems' complexity. We explore Internet of Things technology selection and tradeoffs between scalability, accuracy, latency, and real-time processing system scalability. It covers real-time stream processing system design and deployment and risk mitigation. Case studies and use cases highlight real-time IoT stream processing. Healthcare, smart city, and industrial IoT operational efficiency and proactive decision-making improve with real-time data. Finally, the report suggests the Internet of Things real-time stream processing research. New IoT data analytics protocols, methods, and technologies are highlighted. We teach real-time stream processing to IoT academics, practitioners, and decision-makers. They could then develop more efficient and scalable IoT data stream optimization solutions. © 2024 IEEE.

关键词： Edge computing

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