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2022 IET International Conference on engineering Technologies and Applications, IET-ICETA 2022

作者： Hsu, Tz-Heng Wu, Po-Hui Horng, Gwo-Jiun Southern Taiwan University of Science and Technology Dept. of Computer Science and Information Engineering Tainan Taiwan

ISBN: (数字)9781665491389

ISBN: (纸本)9781665491389

With the popularization of high-definition video devices, more and more users and video streaming service providers desire to restore early classic videos and deliver classic video contents with improved resolution. However, existing video transcoding systems do not support super-resolution video reconstruction. A high-resolution video reconstruction and transcoding system design based on super-resolution image generative adversarial network (GAN) is proposed to perform super-resolution video reconstruction for low resolution videos and then transcode videos with different resolutions to meet the playback requirements of heterogeneous mobile devices in order to provide users with good video viewing quality. Users can have good video viewing quality with the proposed system even in the absence of the original high-resolution videos. © 2022 IEEE.

关键词： Generative adversarial networks

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Multi-Method Stacked Feature Selection Approach based IDS for IoT Networks

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Procedia computer science 2023年 230卷 564-573页

作者： Jai Prakash Kushwaha Saumya Bhadauria Shashikala Tapaswi Dept. of Computer Science and Engineering ABV-IIITM Gwalior India

In an era marked by the proliferation of interconnected devices, the Internet of Things (IoT) has emerged as a revolutionary technological paradigm. IoT networks encompass a vast array of devices, from smart appliances to industrial sensors, revolutionizing industries and everyday life. However, this ubiquitous connectivity has ushered in a new frontier of security challenges, necessitating the deployment of robust Intrusion Detection Systems (IDS). This paper presents a pioneering Multi-Method Stacked Feature Selection (M2SFS) approach-based IDS tailored explicitly for IoT networks. By orchestrating a diverse ensemble of feature selection techniques, the M2SFS framework adept.y curates the feature set derived from the CICIDS 2017 dataset. This comprehensive selection strategy optimally reduces dimensionality, mitigating the resource constraints inherent to IoT ecosystems. The proposed IDS, rooted in the M2SFS approach, demonstrates exceptional accuracy and efficiency in detecting anomalous network behaviors. By harnessing the collective strength of stacked feature selection, this IDS capitalizes on the synergistic potential of multiple feature selection methods. The result is an IDS uniquely adapted to the intricacies of IoT networks, effectively fortifying their security posture. Through rigorous experimentation using the CICIDS 2017 dataset, the proposed approach affirms the superiority of the M2SFS-based IDS over conventional methods. This study underscores the pressing need for IDS in IoT environments and highlights the promise of our innovative approach in safeguarding IoT networks against emerging threats.

关键词： IoT Intrusion Detection System Feature selection Machine learning Multi-Method Stacking

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Transformer-Based Ensemble Model for Binary and Multiclass Oral Cancer Segmentation

Transformer-Based Ensemble Model for Binary and Multiclass O...

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International Conference on electrical, computer and Communication engineering (ECCE)

作者： Amira Hossain Anamul Sakib Al Shahriar Uddin Khondakar Pranta Jesika Debnath Md Tanvir Rahman Tarafder Sazzadul Islam Shamim Forhad Md. Redwan Ahmed Rezaul Haque Shafiur Rahman Dept. of Computer Science Westcliff University Irvine CA USA Dept. of Business Administration International American University CA USA Dept. of Computer Science Wright State University Dayton OH USA Dept. of Information Technology Westcliff University Irvine California Dept. of Computer Science and Engineering BRAC University Dhaka Bangladesh Dept. of Electrical and Electronics Engineering American International University Bangladesh Dept. of Computer Science and Engineering East West University Dhaka Bangladesh Dept. of Software Engineering Daffodil International University Dhaka Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

Early and accurate segmentation of oral cancer is essential for timely diagnosis and treatment. Traditional methods like visual inspections and biopsies are often subjective and costly, which can hinder early detection. To improve segmentation accuracy for binary and multiclass classification, we propose a transformer-based ensemble model that combines Vision Transformer (ViT), Data-efficient Image Transformer (DeiT), Swin Transformer, and BEiT. This ensemble utilizes self-attention mechanisms for better feature extraction and spatial representation. Our study employs two datasets: the MOD dataset (463 images of oral diseases) and a histopathological dataset (1,224 images of oral squamous cell carcinoma and normal epithelium). We applied extensive preprocessing and augmentation techniques, such as grayscale conversion, binary thresholding, and Contrast Limited Adaptive Histogram Equalization (CLAHE), to enhance image quality and model generalization. The performance evaluation showed that our ensemble model outperformed individual architectures, achieving an Intersection over Union (IoU) of 0.9601 and a Dice Coefficient of 0.9598 for binary segmentation, and IoU of 0.9587 and Dice Coefficient of 0.9575 for multiclass segmentation. A comparative analysis with state-of-the-art models confirmed the effectiveness of our approach. These results demonstrate the potential of transformer-based ensemble learning for oral cancer diagnosis, presenting a scalable tool for clinical applications. Future work will focus on expanding dataset diversity, optimizing computational efficiency, and integrating real-time inference for improved usability in healthcare.

关键词： Image segmentation computer vision Adaptation models Visualization Accuracy Computational modeling Transformers Cancer detection Real-time systems Cancer

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Deliberate Occlusion: Asymmetry in Facial Expression 6

Deliberate Occlusion: Asymmetry in Facial Expression

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6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023

作者： Chan, Hung-Tse Chao, Yen-Chun Hsia, Chih-Hsien Nat. Taiwan Univ. of Sci. and Tech. Dept. of Electronic and Computer Engineering Taipei City Taiwan Asia American International Academy New Taipei City Taiwan National Ilan University Dept. of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350323535

Facial expression recognition (FER) has become increasingly common in research. However, region feature technologies that play an important role in this field have not been well developed. In this study, a psychology-based solution to address problems in FER of regional features was proposed. This method employs the use of deliberate occlusion for enhancement and attention module to find meaningful and important features in the regions processing features with high inter-class similarity and variation. The result of this study shows that the approach has higher accuracy than recent models and, through the use of feature heatmap visualization, the possibility of approaching FER from human facial asymmetry is raised. © 2023 IEEE.

关键词： Face recognition

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Motion Sickness Alleviation Based on a Mindfulness Brain-computer Interface 16

Motion Sickness Alleviation Based on a Mindfulness Brain-Com...

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16th International Conference on Advanced Computational Intelligence, ICACI 2024

作者： Zhu, Jiawei Bao, Xiaoyu Huang, Qiyun Wang, Tao Huang, Li Han, Yupeng Li, Kendi Chen, Di Xu, Kailin Wang, Zijian Jiang, Ya Li, Yuanqing Pazhou Laboratory Dept. Research Center for Brain-Computer Interface Guangzhou China Huizhou Desay SV Automotive Co. Ltd. Huizhou China South China University of Technology Dept. School of Automation Science and Engineering China Pazhou Laboratory Dept. Research Center for Brain-Computer Interface China South China Brain-Computer Interface Technology Co. Ltd. Guangzhou China

ISBN: (纸本)9798350308501

Motion sickness is a common affliction that affects nearly half of the global population and poses challenges to comfortable travel experiences, necessitating diverse intervention strategies. Pharmacological interventions have shown promise but present limitations due to side effects. To date, there is no non- pharmacological alleviation method for motion sickness that has been proven effective in a large population. In this study, we developed a novel mindfulness brain-computer interface (mindfulness BCI) for alleviation of motion sickness. Thirty-one subjects who were susceptible to motion sickness participated in our experiments in a real-world car motion environment. The experimental results demonstrated that the proposed mindfulness BCI can effectively alleviate motion sickness symptoms, where more than 90% of subjects reported the effectiveness of the mindfulness BCI system and a significant reduction of Motion Sickness Susceptibility Questionnaire (MISC) scores was obtained when comparing the BCI-based meditation state with the resting state for the subjects (t30=4.968, P © 2024 IEEE.

关键词： Brain computer interface

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Modeling and Performance Evaluation of Collaborative IoT Cross-Camera Video Analytics

Modeling and Performance Evaluation of Collaborative IoT Cro...

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IEEE International Conference on Communications (ICC)

作者： Rodolfo W. L. Coutinho Azzedine Boukerche Dept. of Electrical and Computer Engineering Concordia University Montreal Canada School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

Internet of things (IoT)-based cameras have been proposed for surveillance and mixed reality applications in different domains. IoT cameras stream video frames produced from the scenery within their coverage area. Video frames are then processed to determine, identify, classify, and track objects of interest. Traditionally, IoT video frames are offloaded to distant cloud servers and processed by computation-intensive algorithms for video analytics. However, this approach incurs increased latency and network overhead. Recent studies proposed edge computing for resource provisioning for IoT applications. Nevertheless, edge computing presents many daunting challenges, such as the efficient management and allocation of edge server resources to IoT cameras. We propose the collaborative work of IoT cameras for video analytics. Accordingly, idle resources on an IoT camera can be used to process video frames produced by neighboring cameras. In this regard, we devised a mathematical framework for collaborative cross-camera IoT video analytics, which allows engineers and practitioners to obtain useful insides for the further design of architectures for collaborative IoT video analytics. We conduct extensive numerical evaluations and the obtained results show that the resources' utilization, offloading latency, and offloading costs are sensitive to the neighborhood resources demand.

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Performance Measurement of Distributed Systems via Single-Host Parallel Requesting using (Single, Multi and Pool) Threads 3

Performance Measurement of Distributed Systems via Single-Ho...

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3rd Information Technology to Enhance e-Learning and Other Application, IT-ELA 2022

作者： Jghef, Yousif Sufyan Zeebaree, Subhi R. M. Ageed, Zainab Salih Shukur, Hanan M. College of Engineering Knowledge University Computer Engineering Dept. Erbil Iraq Technical College of Engineering Duhok Polytechnic University Energy Eng. Dept. Duhok Iraq College of Science Nawroz University Computer Science Dept. Duhok Iraq

ISBN: (纸本)9798350334968

Distributed systems and cloud computing are essential in IT (ICT). Scholars have not contemplated merging distributed systems and cloud computing to measure execution time in milliseconds and capacity in gigabytes. Distributed Systems and Cloud Computing Execute Time and Capacity Methodology This title covered two networking types. Multi-scenario distributed networking begins. A TCP socket links a client-server application (Transmission Control Protocol). This example also networks between computers. In another example, Remote Method Invocation Technology (RMI) links subservers to the main server to handle all client inquiries. Second-generation networking involves distributed systems and cloud computing. Google's API downloaded files to my machine and sent them to the main server. Other examples include using numerous computers or a client server software on the same machine. Multi-client and server threads helped the system find correct results. Pool threads were used elsewhere. This thesis examines execution time and file capacity. The system showed how cloud computing affects distributed systems in two ways to apply many scenarios and draw conclusions (execution time and capacity). This project utilizes TCP sockets, RMI, and API. Threads and a hash table software structure were used to load data into the system between the client and the server. © 2022 IEEE.

关键词： Cloud computing

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EPA ECC: Error-Pattern-Aligned ECC for HBM2E

EPA ECC: Error-Pattern-Aligned ECC for HBM2E

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2023 International Technical Conference on Circuits/Systems, computers, and Communications, ITC-CSCC 2023

作者： Kwon, Kiheon Kim, Dongwhee Park, Soyoung Kim, Jungrae Sungkyunkwan University Dept. of Electrical and Computer Engineering Suwon Korea Republic of Sungkyunkwan University Dept. of Semiconductor and Display Engineering Suwon Korea Republic of Sungkyunkwan University Dept. of Artificial Intelligence Suwon Korea Republic of Sungkyunkwan University Dept. of Semiconductor Systems Engineering Suwon Korea Republic of

ISBN: (纸本)9798350326413

DRAM vendors introduced On-Die Error Correction Codes (OD-ECC) to correct errors internally. Most OD-ECCs are based on Single Error Correction to correct individual bit errors. However, recent soft error experiments on HBM2 reveal that DRAM frequently experiences multi-bit errors, necessitating a stronger OD-ECC solution. This paper introduces a novel OD-ECC, EPA ECC, specifically designed to correct frequently-observed multi-bit error patterns. The key innovation of EPA ECC is the construction of multi-bit symbols aligned with common error patterns, and the application of Reed-Solomon codes to correct severe errors without increasing the redundancy ratio. Our evaluation demonstrates that EPA ECC provides higher memory reliability than the current SEC-DED OD-ECC without incurring significant system performance degradation. © 2023 IEEE.

关键词： Dynamic random access storage

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Proposals for the Promotion of Computing in K-12 Studies in Spain 53

Proposals for the Promotion of Computing in K-12 Studies in ...

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Lopez, David Llorens-Largo, Faraón Marqués-Andrés, Mercedes Velázquez-Iturbide, J. Ańgel Universitat Politècnica de Catalunya Computer Architecture Department Barcelona Spain Intelligence University of Alicante Dept. Computer Science and Artificial Alicante Spain University Jaume I Dept. Computer Science and Engineering Castelló Spain Universidad Rey Juan Carlos Departamento de Informática y Estadística Madrid Spain

ISBN: (纸本)9798350336429

The information society requires new skills and knowledge about how to cope in a computerized world. Although it is fully assumed in the political and social discourse, it is a neglected subject in formal education. Each nation should analyze how computing is learned in its K-12 education system. This research-to-practice paper presents the report carried out in Spain promoted by two academic associations, which analyzes the state of computing education in Spain in K-12 studies, summarizes some elements of the didactics of computing and analyzes the training received by teachers who will train K-12 students. The report also presents some reflections of the working group in charge, and nine proposals for improvement oriented to policy makers are pointed out. © 2023 IEEE.

关键词： Computing Pedagogy Culture of Teaching and Learning K12 STEM Education Teacher Development

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Real-Time, Multistatic RFID Localization with Commodity, Unsynchronized Radios

Real-Time, Multistatic RFID Localization with Commodity, Uns...

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IEEE International Conference on RFID

作者： Dimitrios Angelou Aggelos Bletsas School of Electrical and Computer Engineering Technical University of Crete Chania Greece Dept. of Electrical and Computer Engineering Rutgers WINLAB The State University of New Jersey

ISBN: (数字)9798331509057

ISBN: (纸本)9798331509064

Passive RFID tag localization has been mostly focused on monostatic and/or synchronized setups. This work moves a few steps further and performs real-time localization with distributed, i.e., multistatic radios, which are also unsynchronized at the carrier level. It succeeds by exploiting the elliptical direction of arrival (EllDoA) algorithm with a “playback” carrier frequency offset (CFO) mitigation method, showing localization feasibility at a small error cost, even with very cheap software defined radios. The inherent carrier phase offset (CPO) of such distributed setups is addressed, and it is shown that the calibration step needs to be performed only once, and not for further reruns of the experiment; thus, the proposed method is suitable for many real-world and real-time applications, which has not been shown before, to the best of our knowledge.

关键词： Location awareness Three-dimensional displays Prevention and mitigation Scalability Software algorithms Real-time systems Calibration Synchronization Radiofrequency identification Software radio

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