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IEEE Conference on computer Communications Workshops, INFOCOM Wksps

作者： Balázs Vass Erika Bérczi-Kovács Péter Gyimesi János Tapolcai Department of Telecommunication and Media Informatics Faculty of Electrical Engineering and Informatics (VIK) Budapest University of Technology and Economics (BME) and HUN-REN-BME Information Systems Research Group and MTA-BME Future Internet Research Group Faculty of Mathematics and Computer Science Babeş-Bolyai University Cluj Napoca Romania ELTE Eötvös Loránd University Budapest Hungary HUN-REN-ELTE Egerváry Research Group on Combinatorial Optimization

ISBN: (数字)9798350384475

ISBN: (纸本)9798350384482

In a network topology $G$ , we say a set of st-paths are disaster-disjoint if no disaster strikes more than one path. In this poster, we explore the basic capabilities and limitations of greedy and more advanced algorithms for computing maximal collections of such paths in planar networks. An algorithm is greedy if it generates consecutive paths $P_{1}, P_{2},\ldots$ according to a simple rule. In the simplest setting, the only rule is that $P_{i+1}$ is the closest clockwise disaster-disjoint from $P_{i}$ . We find that the simplest greedy may fail even when 1) $G$ is planar, 2) each disaster region is connected, and 3) each node failure (apart from s and $t$ ) is considered possible. Adding a simple rule explained in [1] yields a correct polynomial-time algorithm for the above problem. Finally, we digest a recent related near-linear runtime algorithm of [2] solving a more general problem and discuss the underlying relations among the foundations of these algorithms.

关键词： Greedy algorithms Visualization Runtime Network topology Disasters Conferences

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Channel and space-based joint rate allocation algorithm

Channel and space-based joint rate allocation algorithm

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Dayong Wang Chao Yuan Yu Sun Xin Lu Hui Guo Frederic Dufaux Ce Zhu Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou University Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications China Department of Computer Science University of Central Arkansas Faculty of Computing Engineering and Media (CEM) De Montfort University UK Université Paris-Saclay CNRS CentraleSupélec Laboratoire Des Signaux et Systèmes France School of Information and Communication Engineering University of Electronic Science and Technology of China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Rate control is a critical component for image and video compression Particularly under limited network bandwidth conditions, bitrate control is essential to ensure efficient image transmission by effectively allocation channel resources. In this research, since both Channel and Spatial have relationship with rate allocation, we first propose a joint Channel-wise and Spatial-wise Quantization scheme to determine optimal quantization parameters. Subsequently, we develop a quantization step estimation network to obtain parameters to efficiently allocate rate according to target rate. Experiments demonstrate that our algorithm significantly improve compressed image quality with minimal bitrate distortion and achieve accurate rate control with nearly 3% average bitrate error.

关键词： Image quality Quantization (signal) Image coding Bit rate Signal processing algorithms Estimation Rate-distortion Video compression Resource management Speech processing

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Optimization of Multi-Channel Quartz Crystal Microbalance for Gas Sensing Application

Optimization of Multi-Channel Quartz Crystal Microbalance fo...

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Recent Advances and Innovations in engineering (ICRAIE)

作者： Ahmad Anwar Zainuddin Soumik Bhattacharjee Aliza Aini Md Ralib Nurain Sufi Sabreena Mohd Sukri Saidatul Izyanie Binti Kamarudin Krishnan Subramaniam Dini Handayani M. Reyasudin Basir Khan Nik Nor Muhammad Saifudin Computer Science Kuliyyah of Information Communication Technology International Islamic University Malaysia Kuala Lumpur Malaysia Digital Media Masters Universität Bremen Germany Department of Electrical and Computer Engineering International Islamic University Malaysia Kuala Lumpur Malaysia Kolej Pengajian Pengkomputeran Informatik dan Matematik (KPPIM) Universiti Teknologi MARA Shah Alam Selangor Malaysia Department of Mechanical Engineering Mila University Nilai Negeri Sembilan Malaysia Tun Razak Graduate School (TRGS) Universiti Tun Abdul Razak (UNIRAZAK) Kuala Lumpur Malaysia

Mass detection sensor Quartz Crystal Microbalance (QCM) measures mass sensitivity by piezoelectric, high frequency shaving on nanograms. These sensors detect with high precise geometry, low cost and ease of production. Conventional QCM sensors are limited to one electrode structure that minimizes the range of sensing. On a single quartz crystal substrate, three new QCM Multi-Channel sensors are developed and optimized that include 2-channel, 3-channel and 4-channel QCM sensors. The COMSOL Multiphysics software is used to design and simulate the multi-channel sensors to enhance the device structure for applications with less interference frequency. From the results, it shows that the least interferences exhibit frequency values of 9.58MHz as both QCMs for the 5mm centre-to-centre (c2c). However, due to small c2c distances that decrease accuracy and operating disadvantages, this design was not selected. For 3 channel sensors, however, three resonant peaks show a similar value of 9.58MHz when c2c is maintained at 7mm. With the highest c2c distance this design shows less interference. Finally, for 4-channel sensors, a distance of 6 mm c2c also has a minimum interference with a 9.58 MHz resonance frequency. This shows that 4 channel sensors with the highest c2c can provide greater operational convenience and less interference at frequencies and thus maximize measurement accuracy. Multi-sensor arrays are advantageous when detecting a large number of analytes at the same time or when only selective coatings (coatings that respond to more than one analyte at the same time) are available. These sensor arrays, which use only one sensor and combine it with enhanced signal evaluation methods or prior sample separation to achieve the results of multi-sensor arrays, are becoming increasingly popular.

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The roots of digital aggression: Exploring cyber-violence through a systematic literature review

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International Journal of information Management Data Insights 2024年第2期4卷

作者： Mukred, Muaadh Mokhtar, Umi Asma Moafa, Fahad Abdullah Gumaei, Abdu Sadiq, Ali Safaa Al-Othmani, Abdulaleem Department of Business Analytics Sunway Business School Sunway University 5 Jalan University 47500 Petaling Jaya Selangor Bandar Sunway Malaysia Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Selangor Bangi 43600 Malaysia Department of Computers King Fahd Naval Academy Jubail 34724 Saudi Arabia Department of Computer Science College of Computer Engineering and Sciences Prince Sattam bin Ab-dulaziz University Al-Kharj 11942 Saudi Arabia Department of Computer Science Nottingham Trent University Clifton Lane Nottingham NG11 8NS United Kingdom School of Computer Science and Informatics Faculty of Computing Engineering and Media De Montfort University United Kingdom

In both the developed and developing world, cyber-violence presents a problem that affects most families and societies. However, there is a lack of diagnostic studies dedicated to this phenomenon, especially its factors and the relevant models. Consequently, the aim of this study was to extract the factors that bear upon cyber-violence by conducting a systematic literature review. This was anticipated to lead to a better understanding of those factors with their models and effects, as explored in previous research. This systematic literature review resulted in a comprehensive and rigorous examination of the relevant literature, which included numerous articles of interest. The findings indicate that most of the past research on cyber-violence has primarily looked at the factors affecting the behavioral intention to engage in the phenomenon, while very few studies have looked at its effects, especially in developing countries. The period from which the primary studies were collected was 2010-2024, using the ScienceDirect, IEEE Explorer, Springer, SAGE, Taylor and Francis, MDPI and Emerald Insight databases. Inclusion and exclusion criteria were applied, resulting in 91 studies to be systematically reviewed. It emerged from this review that engagement in cyber-violence was predominantly due to a lack of cyber-violence models and a failure to consider the factors that potentially contribute to engagement in cyber-violence. Hence, these factors are identified in this paper, looking at the academic, economic and social impact of cyber-violence. The outcomes of this review could assist future researchers by providing a roadmap of institutional repositories and guidelines for recognizing the models and factors of cyber-violence, together with its effects. © 2024 The Authors

关键词： Cyber-bullying Cyber-crime Cyber-harassment Cyber-stalking Cyber—violence Theory of Planned Behavior

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Blockchain-based Security Framework for Metaverse: A Decentralized Approach

Blockchain-based Security Framework for Metaverse: A Decentr...

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Anand Singh Rajawat S.B. Goyal RamKumar Solanki Maria Simona Raboaca Traian Candin Mihaltan Zoltán Illés Chaman Verma School of Computer Science & Engineering Sandip University Nashik India Faculty of Information Technology City University Petaling Jaya Malaysia ICSI Energy Department National Research and Development Institute for Cryogenics and Isotopic Technologies Ramnicu Valcea Romania Faculty of Building Services Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Media and Educational Informatics Faculty of Informatics Eötvös Loránd University Budapest Hungary

People can act out fake social exchanges in the Metaverse, which is an online community. Security has become a problem in the Metaverse because there are so many online transactions and digital assets. In this thesis, a Blockchain-based security system for the Metaverse is proposed. This would be a decentralised way to keep the virtual world safe. Our system uses Blockchain's autonomous structure to make sure that all financial transactions in the Metaverse are safe, anonymous, and true. We suggest a new consensus process that combines Proof of Stake (PoS) and Proof of Authority (PoA) to make networks safer and allow them to grow. We also have a user-focused, decentralised identity management system that keeps their information safe. We also suggest a way to process Metaverse transactions safely that is based on smart contracts. Our method makes sure that transactional proof, recording, and validation are done in a safe and reliable way. We also show a reputation system that benefits people who follow the law and punishes people who break the law. Lastly, we test how well our suggested structure works with simulations and real-world tests. The results show that our way works to reduce possible security risks in the Metaverse and create a safe, scalable environment for online business. Overall, our Blockchain-based Security Framework for Metaverse: A Decentralised Approach is a good way to keep the security and privacy of digital activities in Metaverse.

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Physical Adversarial Attack Meets computer Vision: A Decade Survey

arXiv

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arXiv 2022年

作者： Wei, Hui Tang, Hao Jia, Xuemei Wang, Zhixiang Yu, Hanxun Li, Zhubo Satoh, Shin'ichi Van Gool, Luc Wang, Zheng School of Computer Science National Engineering Research Center for Multimedia Software Wuhan University Wuhan China National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University Beijing100871 China Colleage of Software and Technology Zhejiang University Hangzhou China School of Cyber Science and Engineering Wuhan University Wuhan China Digital Content and Media Sciences Research Division National Institute of Informatics Japan Department of Information and Communication Engineering Graduate School of Information Science and Technology The University of Tokyo Japan Computer Vision Lab of ETH Zurich Zürich8092 Switzerland KU Leuven Leuven3000 Belgium INSAIT Sofia Bulgaria

Despite the impressive achievements of Deep Neural Networks (DNNs) in computer vision, their vulnerability to adversarial attacks remains a critical concern. Extensive research has demonstrated that incorporating sophisticated perturbations into input images can lead to a catastrophic degradation in DNNs’ performance. This perplexing phenomenon not only exists in the digital space but also in the physical world. Consequently, it becomes imperative to evaluate the security of DNNs-based systems to ensure their safe deployment in real-world scenarios, particularly in security-sensitive applications. To facilitate a profound understanding of this topic, this paper presents a comprehensive overview of physical adversarial attacks. Firstly, we distill four general steps for launching physical adversarial attacks. Building upon this foundation, we uncover the pervasive role of artifacts carrying adversarial perturbations in the physical world. These artifacts influence each step. To denote them, we introduce a new term: adversarial medium. Then, we take the first step to systematically evaluate the performance of physical adversarial attacks, taking the adversarial medium as a first attempt. Our proposed evaluation metric, hiPAA, comprises six perspectives: Effectiveness, Stealthiness, Robustness, Practicability, Aesthetics, and Economics. We also provide comparative results across task categories, together with insightful observations and suggestions for future research directions. Copyright © 2022, The Authors. All rights reserved.

关键词： Deep neural networks

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A global & environmental coral analysis system with spa-based semantic computing for integrating and visualizing ocean-phenomena with "5-dimensional world-map" 30

A global & environmental coral analysis system with spa-base...

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30th International conference on information Modeling and Knowledge Bases, EJC 2020

作者： Kiyoki, Yasushi Chawakitchareon, Petchporn Rungsupa, Sompop Chen, Xing Samlansin, Kittiya Graduate School of Media and Governance Keio University Japan Environmental Engineering Department Chulalongkorn University Bangkok Thailand Aquatic Resources Research Institute Chulalongkorn University Bangkok Thailand Department of Information and Computer Sciences Kanagawa Institute of Technology Japan

ISBN: (纸本)9781643681405

Semantic computing is essentially significant for realizing the semantic interpretation of natural and social phenomena and analyzes the changes of various environmental situations. The 5D World Map (5DWM) System [4,6,8] has introduced the concept of "SPA (Sensing, Processing and Analytical Actuation Functions)" for global environmental system integrations [1-4], as a global environmental knowledge sharing, analysis and integration system. Environmental knowledge base creation with 5D World Map is realized for sharing, analyzing and visualizing various information resources to the map which can facilitate global phenomena-observations and knowledge discoveries with multi-dimensional axis control mechanisms. The 5DWM is globally utilized as a Global Environmental Semantic Computing System, in SDGs 9, 11, 14, United-Nations-ESCAP: (https://***/toolboxes) for observing and analyzing disaster, natural phenomena, ocean-water situations with local and global multimedia data resources. This paper proposes a new semantic computing method as an important approach to semantic analysis for various environmental phenomena and changes in a real world. This method realizes "Self-Contained-Knowledge-Base-Image" & "Contextual-Semantic-Interpretation" as a new concept of "Coral-Health-level Analysis in Semantic-Space for Ocean-environment" for global ocean-environmental analysis [8,9,12,18]. This computing method is applied to automatic database creation with coral-health-level analysis sensors for interpreting environmental phenomena and changes occurring in the oceans in the world. We have focused on an experimental study for creating "Coral-Health-level Analysis Semantic-Space for Ocean-environment" [8,9,12,18]. This method realizes new semantic interpretation for coral health-level with "coral-images and coral-health-level knowledge-chart". © 2021 The authors and IOS Press.

关键词： Data mining

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Constant playout rates: Resource allocation for improved user experience with live video streaming in 5G

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computer Networks 2025年 269卷

作者： Fidan Mehmeti Serkut Ayvaşık Furkan Kaynar Thomas F. La Porta Wolfgang Kellerer Chair of Communication Networks Technical University of Munich Arcisstrasse 21 80333 Munich Germany Chair of Media Technology Technical University of Munich Arcisstrasse 21 80333 Munich Germany Department of Computer Science and Engineering Pennsylvania State University State College PA 16801 USA

Providing a high-quality real-time video streaming experience to mobile users is one of the biggest challenges in cellular networks. This is due to the need of these services for high rates with low variability, i.e., stable throughput, which is not easily accomplished given the competition among (an ever-increasing number of) users for limited network resources and the high variability of their channel conditions. A way to improve the user experience is by exploiting users’ buffers and the ability to provide a constant data rate to everyone, as one of the initially envisioned features of 5G networks. However, it was already shown that the latter is not very efficient, neither in terms of the achievable data rates nor in terms of the amount of resources left unused. In this paper, we provide a theoretical-analysis framework for resource allocation in 5G networks that leads to an improved user experience when watching live video while providing a constant video resolution at almost all times. We do this by solving four problems, in which the objectives are to provide the highest achievable video resolution to all single-class and multi-class users, and to maximize the number of users that experience a given video resolution. The analysis is validated by simulations that are run on publicly-available traces. We also compare the performance of our approach against other techniques for different Quality of Experience metrics. Results show that performance can be improved by at least 15% with our approach compared to state of the art.

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Deep Learning Algorithms-based Object Detection and Localization Revisited

Deep Learning Algorithms-based Object Detection and Localiza...

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International Laser technology and Optics Symposium in Conjunction with Photonics Meeting 2020, ILATOSPM 2020

作者： Waheed, Safa Riyadh Suaib, Norhaida Mohd Mohd Rahim, Mohd Shafry Mundher Adnan, Myasar Salim, A.A. Big Data Center and Faculty of Engineering School of Computing Universiti Teknologi Malaysia Johor Bahru81310 Malaysia Computer Techniques Engineering Department Faculty of Information Technology Imam Jaafar Al-Sadiq University Baghdad Iraq UTM-IRDA Digital Media Institute of Human-Centred Engineering Universiti Teknologi Malaysia Johor Bahru81310 Malaysia Islamic University Najaf Iraq Laser Center and Physics Department Faculty of Science Universiti Teknologi Malaysia Johor Bahru81310 Malaysia

The computer vision (CV) is an emerging area with sundry promises. This communication encompasses the past development, recent trends and future directions of the CV in the context of deep learning (DL) algorithms-based object detections and localizations techniques. To identify the object location inside an image and recognize it by a computer program as fast as the human brain the machine learning and DL techniques have been evolved. However, the main limitations of the machine are related to the prolonged time consumption to handle vast amount of data to perform the same task as the human brain. To overcome these shortcomings, the convolution neural networks (NNs)-based deep NN has been developed, which detects and classifies the object with high precision. To train the deep NNs, massive amount of data (in the form of images and videos) and time is needed, making the computational cost of the CV very high. Thus, transfer learning techniques have been proposed wherein a model trained on one task can be reused on another linked task, thereby producing excellent outcomes. In this spirit, diverse DL-based algorithms have been introduced to detect and classify the object. These algorithms include the region-based convolutional NN (R-CNN), fast R-CNN, Faster R-CNN, mask E-CNN and You Only Look Once. A comparative evaluation among these techniques has been made to reveal their merits and demerits in the CV. © Published under licence by IOP Publishing Ltd.

关键词： Learning algorithms

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STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation

arXiv

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arXiv 2024年

作者： Wang, Yaqi Zhang, Yifan Chen, Xiaodiao Wang, Shuai Qian, Dahong Ye, Fan Xu, Feng Zhang, Hongyuan Zhang, Qianni Wu, Chengyu Li, Yunxiang Cui, Weiwei Luo, Shan Wang, Chengkai Li, Tianhao Liu, Yi Feng, Xiang Zhou, Huiyu Liu, Dongyun Wang, Qixuan Lin, Zhouhao Song, Wei Li, Yuanlin Wang, Bing Wang, Chunshi Chen, Qiupu Li, Mingqian College of Media Engineering Communication University of Zhejiang Hangzhou China State Key Laboratory of Oral Diseases National Clinical Research Center for Oral Diseases West China Hospital of Stomatology Sichuan University Chengdu China Lishui University School of Medicine Hangzhou Geriatric Stomatology Hospital Hangzhou Dental Hospital Group Hangzhou China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China School of Cyberspace Hangzhou Dianzi University Hangzhou China Suzhou Research Institute of Shandong University Suzhou China School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China School of Biomedical Engineering Medical School Shenzhen University Shenzhen China School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom Department of Mechanical Electrical and Information Engineering Shandong University Weihai China School of Management Hangzhou Dianzi University Hangzhou China Department of Stomatology Sichuan Provincial People's Hospital University of Electronic Science and Technology of China Chengdu China School of Computing and Mathematical Sciences University of Leicester Leicester United Kingdom Zeta Technology Co. Ltd. No. 1158 Zhangdong Road Pudong New Area Shanghai China China Academy of Information and Communications Technology Beijing China HangZhou Dianzi University Xiasha Higher Education Zone Hangzhou China Southeast University Sipailou Xuanwu District Nanjing China Shanghai Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Shanghai Jiao Tong University Shanghai China School of Computer Science and Technology Changchun University of Science and Technology Changchun China School of Artificial Intelligence Guilin University of Electronic Technology Guilin China University of Science and Technology of China Hefei China Hefei Institutes of Physical Science Chinese Academy of Sciences No. 350 Shushan

computer-aided design (CAD) tools are increasingly popular in modern dental practice, particularly for treatment planning or comprehensive prognosis evaluation. In particular, the 2D panoramic X-ray image efficiently detects invisible caries, impacted teeth and supernumerary teeth in children, while the 3D dental cone beam computed tomography (CBCT) is widely used in orthodontics and endodontics due to its low radiation dose. However, there is no open-access 2D public dataset for children's teeth and no open 3D dental CBCT dataset, which limits the development of automatic algorithms for segmenting teeth and analyzing diseases. The Semi-supervised Teeth Segmentation (STS) Challenge, a pioneering event in tooth segmentation, was held as a part of the MICCAI 2023 ToothFairy Workshop on the Alibaba Tianchi platform. This challenge aims to investigate effective semi-supervised tooth segmentation algorithms to advance the field of dentistry. In this challenge, we provide two modalities including the 2D panoramic X-ray images and the 3D CBCT tooth volumes. In Task 1, the goal was to segment tooth regions in panoramic X-ray images of both adult and pediatric teeth. Task 2 involved segmenting tooth sections using CBCT volumes. Limited labelled images with mostly unlabelled ones were provided in this challenge prompt using semi-supervised algorithms for training. In the preliminary round, the challenge received registration and result submission by 434 teams, with 64 advancing to the final round. This paper summarizes the diverse methods employed by the top-ranking teams in the STS MICCAI 2023 Challenge. Copyright © 2024, The Authors. All rights reserved.

关键词： Image segmentation

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