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An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network

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computer Systems science & engineering 2023年第9期46卷 3509-3525页

作者： Adnan Hussain Sareer Ul Amin Muhammad Fayaz Sanghyun Seo Department of Computer Science Islamia College UniversityPeshawar25120Pakistan Department of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea Department of Computer Engineering Cyprus International UniversityLefkosa99010Rep.of North Cyprus College of Art and Technology Chung-Ang.UniversityAnseong17546Korea

Hand Gesture Recognition(HGR)is a promising research area with an extensive range of applications,such as surgery,video game techniques,and sign language translation,where sign language is a complicated structured form of hand *** fundamental building blocks of structured expressions in sign language are the arrangement of the fingers,the orientation of the hand,and the hand’s position concerning the *** importance of HGR has increased due to the increasing number of touchless applications and the rapid growth of the hearing-impaired ***,real-time HGR is one of the most effective interaction methods between computers and *** a user-free interface with good recognition performance should be the goal of real-time HGR ***,Convolutional Neural Network(CNN)shows great recognition rates for different image-level classification *** is challenging to train deep CNN networks like VGG-16,VGG-19,Inception-v3,and Efficientnet-B0 from scratch because only some significant labeled image datasets are available for static hand gesture ***,an efficient and robust hand gesture recognition system of sign language employing finetuned Inception-v3 and Efficientnet-Bo network is proposed to identify hand gestures using a comparative small HGR *** show that Inception-v3 achieved 90%accuracy and 0.93%precision,0.91%recall,and 0.90%f1-score,respectively,while EfficientNet-B0 achieved 99%accuracy and 0.98%,0.97%,0.98%,precision,recall,and f1-score respectively.

关键词： Pretrained CNN hand gesture recognition transfer learning

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Cluster-Based Stable BSM Dissemination System for Safe Autonomous Platooning

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computers, Materials & Continua 2022年第4期71卷 321-338页

作者： Jaehwan Lee Suhwan Kwak Seungwoo Park Sangoh Park School of Computer Science and Engineering Chung-Ang UniversityDongjak-guSeoul06974Korea

Recently,the importance of vehicle safety supporting system has been highlighted as autonomous driving and platooning has attracted the *** ensure driving safety,each vehicle must broadcast a basic safety message(BSM)every 100 ***,stable BSM exchange is difficult because of the changing environment and limited bandwidth of vehicular wireless *** increasing number of vehicles on the road increases the competition to access wireless networks for BSM exchange;this increases the packet collision *** increased packet collision rate impairs the transmission and reception of BSM information,which can easily cause a traffic *** propose a solution,the vehicular safety support system(V3S),which exchanges BSMs reliably even when many vehicles are on the *** V3S uses a clustering scheme to decrease network traffic by reducing the amount of data exchanged between a vehicle and the roadside unit(RSU).In addition,the V3S reduces the collision rate of wireless network packets by broadcasting the vehicle’s BSM in an allocated timeslot using the time division multiple access(TDMA)MAC *** V3S also deals with insufficient bandwidth for dedicated short-range communications(DSRC)by changing DSRC channels according to traffic *** evaluating the packet error rate for stable BSM packet delivery,the V3S demonstrates an excellent packet error rate of less than 1%,compared to the 802.11p with its packet error rate of 82%.

关键词： Road vehicles communication systems clustering methods vehicular networks basic safety message dedicated short-range communication

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Back-of-device tap recognition by leveraging magnetometer in commodity smartphones 14

Back-of-device tap recognition by leveraging magnetometer in...

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14th International Conference on Information and Communication Technology Convergence, ICTC 2023

作者： Kim, Insu Choi, Jaemin Shin, Suhyeon Kim, JunSeob Kim, Mucheol Cho, Seongrae Kim, Hyosu Chung-Ang University School of Computer Science and Engineering Korea Republic of

ISBN: (纸本)9798350313277

Tap inputs on the back of smartphones provide a solution to the occlusion problem but come with challenges such as reduced accuracy and constrained functionality. In this work, we introduce MagTap, a novel magnetic-based input interface for smartphones, specifically leveraging magnets and ferromagnetic materials to recognize tap inputs made on the back of the smartphones. Through our evaluation with a MagTap prototype on an Apple iPhone 12, we demonstrate that MagTap can achieve high localization accuracy (e.g., an average accuracy of 95.3% for single taps and 88.2% for double taps), not losing usability and deployability. © 2023 IEEE.

关键词： Back-of-Device IMU Input interface

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Novel N-doped multichannel carbon nanofiber architecture with porous CoS nanoprisms for high-performance potassium-ion batteries

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Rare Metals 2024年第3期43卷 971-983页

作者： Jae Bong Lim Seung-Keun Park Department of Advanced Materials Engineering Chung-Ang UniversityGyeonggi-do17546Republic of Korea Department of Intelligence Energy and Industry Chung-Ang UniversitySeoul06974Republic of Korea Western Seoul Center Korea Basic Science InstituteSeoul03759Republic of Korea

Potassium-ion batteries(PIBs)have gained significant attention as an alternative to lithium-ion batteries(LIBs)due to the abundance of potassium(K)and low ***,the difficulty in finding appropriate electrode materials that can efficiently store the larger K ions has hindered their practical ***,we report a novel anode material,N-doped multichannel carbon nanofibers embedded with porous CoS nanoprisms(CSP@NMCNF),for high-performance *** CSP@NMCNF was synthesized using a two-step strategy comprising of the electrospinning of Co acetate hydroxide nanoprism/binary polymer blend and a subsequent heat *** porous CoS nanoprisms with an anisotropic morphology were well aligned along the length axis of the N-doped multichannel carbon nanofibers,thus ensuring their structural stability during the repeated charge-discharge *** addition,numerous pores facilitated the transport of electrons and ***,the CSP@NMCNF anode exhibited excellent electrochemical performance,delivering a high specific capacity of 368 mAh·g^(-1)at 0.5 A·g^(-1)after 200 cycles and excellent rate capability(232 mAh·g^(-1)at 2.0 A·g^(-1)).

关键词： K-ion batteries Cobalt sulfide Multichannel structured composite Electrospinning Nanoprism Porous structure

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Survey of Distributed File Systems: Concepts, Implementations, and Challenges 14

Survey of Distributed File Systems: Concepts, Implementation...

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14th International Conference on Information and Communication Technology Convergence, ICTC 2023

作者： Pham, Kiet Tuan Lee, Sangjin Nguyen, Lan Anh Paek, Jeongyeup Son, Yongseok Chung-Ang University Department of Computer Science and Engineering Korea Republic of

ISBN: (纸本)9798350313277

Modern computing now relies heavily on Distributed File Systems (DFS), which make it possible to store, manage, and retrieve data across remote contexts in an effective manner. Therefore, it is essential to comprehend the DFS environment to optimize data management and storage solutions. We explore DFS in this thorough overview work, discussing its foundational ideas, well-known applications, related difficulties, and potential future research avenues. © 2023 IEEE.

关键词： cloud computing data-intensive computing Distributed File Systems

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MagSafe accessory classification using magnetometer 14

MagSafe accessory classification using magnetometer

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14th International Conference on Information and Communication Technology Convergence, ICTC 2023

作者： Choi, Jaemin Kim, Insu Shin, Suhyeon Kim, JunSeob Cho, Sungrae Kim, Mucheol Kim, Hyosu Chung-Ang University School of Computer Science and Engineering Korea Republic of

ISBN: (纸本)9798350313277

With the integration of MagSafe into the iPhone, attaching various accessories to the back of the device has become possible. In this work, we explore the feasibility of MagSafe accessory classification with IMU sensors available on commercial smartphones. Especially, we use the magnetic features, extracted when MagSafe accessories are attached, as the main feature for the classification. Our experiments achieve high classification accuracy across a variety of accessories. © 2023 IEEE.

关键词： IMU Magnetometer

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A Survey on Epoch-based In-Memory Database Systems 14

A Survey on Epoch-based In-Memory Database Systems

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14th International Conference on Information and Communication Technology Convergence, ICTC 2023

作者： Nguyen, Lan Anh Lee, Sangjin Lee, Hyung Tae Son, Yongseok Chung-Ang University Department of Computer Science and Engineering Korea Republic of

ISBN: (纸本)9798350313277

In-memory databases has emerged as the most favorable modern database replacing with traditional ones to sufficiently handle with storing, retrieving, and processing large collections of data in big data applications. High speed in storing, retrieving, processing of in-memory databases makes itself outperform classic databases and becomes the most prominent database nowadays. However, along with rapid growth of collected data from intensive-workload applications, in-memory databases should achieve an exceptional scalability to deal with the huge amounts of received data. In addition, they must overcome their internal disadvantages regarding to durability and persistence. Epoch-based mechanisms are suitable solutions for scalability, durability, and persistence issues, while maintaining excellent performance in speed of in-memory databases. This study provides a survey of epoch-based in-memory databases in terms of their database management architecture, classification of epoch-based mechanisms used in, and current developments of epoch-based in-memory database systems. © 2023 IEEE.

关键词： big data epoch-based mechanisms In-memory database storage engine

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Data Utilization-Based Adaptive Data Management Method for Distributed Storage System in WAN Environment

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computer Systems science & engineering 2023年第9期46卷 3457-3469页

作者： Sanghyuck Nam Jaehwan Lee Kyoungchan Kim Mingyu Jo Sangoh Park School of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea Department of Computer Science and Engineering Kongju National UniversityCheonan31080Korea Qucell Networks Seongnam13590Korea

Recently,research on a distributed storage system that efficiently manages a large amount of data has been actively conducted following data production and demand *** expansion limits exist for traditional standalone storage systems,such as I/O and file system ***,the existing distributed storage system does not consider where data is consumed and is more focused on data dissemination and optimizing the lookup cost of data *** this leads to system performance degradation due to low locality occurring in a Wide Area Network(WAN)environment with high network *** problem hinders deploying distributed storage systems to multiple data centers over *** lowers the scalability of distributed storage systems to accommodate data storage *** paper proposes a method for distributing data in a WAN environment considering network latency and data locality to solve this problem and increase overall system *** proposed distributed storage method monitors data utilization and locality to classify data temperature as hot,warm,and *** assigned data temperature,the proposed algorithm adaptively selects the appropriate data center and places data accordingly to overcome the excess latency from the WAN environment,leading to overall system performance *** paper also conducts simulations to evaluate the proposed and existing distributed storage *** result shows that our proposed method reduced latency by 38%compared to the existing ***,the proposed method in this paper can be used in large-scale distributed storage systems over a WAN environment to improve latency and performance compared to existing methods,such as consistent hashing.

关键词： Distributed system distributed storage distributed computing object storage

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Integration of earth-abundant cocatalysts for high-performance photoelectrochemical energy conversion

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Journal of Energy Chemistry 2024年第1期88卷 336-355,I0008页

作者： Joonhee Ma Sang Hyun Ahn Soo Young Kim Department of Materials Science and Engineering Korea UniversitySeoul 02841Republic of Korea School of Chemical Engineering and Materials Science Chung-Ang University84 Heukseok-roDongjak-guSeoul 06974Republic of Korea

Photoelectrochemical(PEC)energy conversion has emerged as a promising and efficient approach to sustainable energy harvesting and *** utilizing semiconductor photoelectrodes,PEC devices can harness solar energy and drive electrochemical reactions such as water splitting or carbon dioxide(CO_(2))reduction to generate clean fuels and value-added ***,PEC energy conversion faces several challenges such as high overpotential,sluggish reaction kinetics,charge carrier recombination,and stability issues,which limit its practical ***,significant research has been conducted to improve the overall conversion efficiency of PEC *** particularly promising approach is the use of cocatalysts,which involves introducing specific cocatalysts onto the photoelectrode surface to promote charge separation,improve reaction kinetics,and reduce the overpotential,thereby enhancing the overall performance of PEC energy *** review provides a comprehensive overview of the recent developments in the earth-abundant cocatalysts for PEC water splitting and CO_(2) *** main earth-abundant catalysts for the PEC water splitting include transition-metal dichalcogenide(TMD)-based materials,metal phosphides/carbides,and metal oxides/***,PEC-CO_(2)RR was divided into C_(1) and C_(2+)based on the final product since various products could be produced,focusing on diverse earth-abundant materials-based *** addition,we provide and highlight key advancements achieved in the very recent reports on novel PEC system design engineering with ***,the current problems associated with PEC systems are discussed along with a suggested direction to overcome these obstacles.

关键词： Solar energy Photo-electrochemical Water splitting CO_(2)reduction Cocatalysts

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IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method

IM-BERT: Enhancing Robustness of BERT through the Implicit E...

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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Kim, Mihyeon Park, Juhyoung Kim, Youngbin Department of Artificial Intelligence Chung-Ang University Korea Republic of School of Computer Science and Engineering Chung-Ang University Korea Republic of Graduate School of Advanced Imaging Sciences Multimedia and Film Chung-Ang University Korea Republic of

ISBN: (纸本)9798891761643

Pre-trained Language Models (PLMs) have achieved remarkable performance on diverse NLP tasks through pre-training and fine-tuning. However, fine-tuning the model with a large number of parameters on limited downstream datasets often leads to vulnerability to adversarial attacks, causing overfitting of the model on standard datasets. To address these issues, we propose IM-BERT from the perspective of a dynamic system by conceptualizing a layer of BERT as a solution of Ordinary Differential Equations (ODEs). Under the situation of initial value perturbation, we analyze the numerical stability of two main numerical ODE solvers: the explicit and implicit Euler approaches. Based on these analyses, we introduce a numerically robust IM-connection incorporating BERT's layers. This strategy enhances the robustness of PLMs against adversarial attacks, even in low-resource scenarios, without introducing additional parameters or adversarial training strategies. Experimental results on the adversarial GLUE (AdvGLUE) dataset validate the robustness of IM-BERT under various conditions. Compared to the original BERT, IM-BERT exhibits a performance improvement of approximately 8.3%p on the AdvGLUE dataset. Furthermore, in low-resource scenarios, IM-BERT outperforms BERT by achieving 5.9%p higher accuracy. © 2024 Association for Computational Linguistics.

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