2021 IEEE Region 10 Symposium (TENSYMP)最新文献_第4页

A Model to Maintain Social Distance in Public Vehicles using 5G V2I and V2P Communication 基于5G V2I和V2P通信的公共车辆社交距离保持模型

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9551008

Bipasha Mukhopadhyay, T. Samanta

引用次数: 0

Performance Evaluation of A Shunt Active Power Filter For Current Harmonic Elimination 一种用于电流谐波消除的并联有源电力滤波器的性能评价

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550846

Vikrama Singh, Sheikh Javid Iqbal, Shubhrata Gupta, Anamika Yadav

引用次数: 0

TokenCheck: Towards Deep Learning Based Security Vulnerability Detection In ERC-20 Tokens TokenCheck: ERC-20令牌中基于深度学习的安全漏洞检测

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550913

Subhasish Goswami, Rabijit Singh, Nayanjeet Saikia, Kaushik Kumar Bora, U. Sharma

{"title":"TokenCheck: Towards Deep Learning Based Security Vulnerability Detection In ERC-20 Tokens","authors":"Subhasish Goswami, Rabijit Singh, Nayanjeet Saikia, Kaushik Kumar Bora, U. Sharma","doi":"10.1109/TENSYMP52854.2021.9550913","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550913","url":null,"abstract":"The use of Ethereum based tokens in blockchain applications have been on the rise in recent times and accordingly, the need for proper analysis of token source codes for security vulnerabilities has become paramount. Existing symbolic analysis tools have demonstrated to be efficient in detecting many of the security vulnerabilities, but by virtue of the complex nature of the analysis they perform to detect vulnerable paths, there is a considerable increase in search time with an increase in depth. Cryptocurrencies have recently achieved the milestone of a USD 2 trillion market cap and with such a high volume of assets involved, the need for an efficient and scalable security vulnerability detection tool in an ever-increasing list of tokens becomes of utmost priority. This paper proposes a deep learning based approach for the prediction of security vulnerabilities in ERC-20 token smart contracts. The proposal proposed by this paper is based on the use of Long Short-Term Memory neural network architecture on smart contract opcodes which are in form of sequential data. The proposed solution achieves an accuracy of 93.26% when tested on ERC-20 smart contracts collected from Ethereum mainnet and thus proves to be an efficient alternative for existing symbolic tools.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134021531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Ensemble Learning Using Pressure Sensor for Gait Recognition 基于压力传感器的集成学习步态识别

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550860

Jinwon Jung, Y. Choi, Sang-Il Choi

引用次数: 2

Transfer Alignment of GF-INS GF-INS的传递对准

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550963

J. Son, S. Oh, D. Hwang

引用次数: 1

Role of Catheter Contact Force on Biophysical Properties of the Ablation Lesion Formation in Radiofrequency Catheter Cardiac Ablation 导管接触力对射频导管心脏消融术中消融病灶形成生物物理特性的影响

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550864

Kriengsak Masnok, Nobuo Watanabe

{"title":"Role of Catheter Contact Force on Biophysical Properties of the Ablation Lesion Formation in Radiofrequency Catheter Cardiac Ablation","authors":"Kriengsak Masnok, Nobuo Watanabe","doi":"10.1109/TENSYMP52854.2021.9550864","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550864","url":null,"abstract":"Radiofrequency catheter ablation therapy aims to generate ablation lesions on the cardiac tissue surface to interrupt or adjust the transmission of the abnormal electrical signals. Forcing the catheter contact with the cardiac tissue surface exerts a direct force on the tissue to transfer heat energy to a target tissue. Excessive force might be overheating and perforating the heart tissue's surface, whereas deficient force might limit the ablation lesion to insufficient dimensions. Thus, the effects of catheter contact force in generating effective lesions and its part of the ultimate success of a radiofrequency catheter cardiac ablation procedure. Against this backdrop, the purpose of this study was to investigate the effect of catheter contact force on biophysical properties of the ablation lesion formation in radiofrequency catheter cardiac ablation. The eight contact force levels (2, 4, 6, 10, 15, 20, 30, and 40 gf) were applied to the heart tissue surface at the perpendicular orientation and repeated six times at each contact force. And then, lesion surface diameter, lesion width diameter, and lesion depth were measured. The results revealed that the catheter contact force has a significant correlation (P < 0.0001) with lesion surface diameter, lesion width diameter, lesion depth, and lesion volume. When contact force was increased, all ablation dimensions also increased. This current in vitro study demonstrated a substantial impact of the catheter contact force on the ablation lesion formation's biophysical properties in radiofrequency catheter cardiac ablation.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115750433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Smart Authentication based on Modified Merkle Puzzles 基于改进默克尔谜题的智能认证

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550956

Abhijath Ande, Vishnu N Nair, Syed Ashlaan Ahmed, Alavalapati Goutham Reddy, L. Nkenyereye, H. Kim

{"title":"Smart Authentication based on Modified Merkle Puzzles","authors":"Abhijath Ande, Vishnu N Nair, Syed Ashlaan Ahmed, Alavalapati Goutham Reddy, L. Nkenyereye, H. Kim","doi":"10.1109/TENSYMP52854.2021.9550956","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550956","url":null,"abstract":"Most computer users practice password-based authentication as the first layer of security due to its easy implementation. Yet, the technology advancements have provided the attackers with enough resources to get the password by trying out diverse means. In addition, there is a burden of entering a password when the user wants to access the computer, which is comprehended as discomfort to the user. Given this discomfort, the users often leave the computer in an unlocked state while moving away. The computer in this situation is most vulnerable and makes it susceptible to lunchtime attacks.To address the aforementioned issues, we propose a method called smart authentication that requires minimal user interaction with the computer. Smart authentication encompasses the concepts of authentication, de-authentication, and re-authentication under the same hood. The proposed method uses continuous authentication so that the concepts called de-authentication and re-authentication can be implemented with an insignificant effort. Considering the constraints associated with password-based authentication, second factors of authentication have been introduced as an additional security feature. Due to the difficulty of carrying extra hardware components around all of the time, the proposed approach considers the smartphone device as the second factor. Hardware cost is another aspect that ascends scalability concerns to most of these approaches. The proposed approach aims to use existing hardware commonly found in modern desktop machines and thereby decrease the cost factor of scalability drastically.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115440979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Latency Impact for Massive Real-Time Applications on Multi Link Operation 海量实时应用对多链路操作的时延影响

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550829

Hyunhee Park, C. You

引用次数: 5

Traditional Bengali Food Classification Using Convolutional Neural Network 基于卷积神经网络的传统孟加拉食物分类

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550874

Asif Mahbub Uddin, A. A. Al Miraj, Moumita Sen Sarma, Avishek Das, Md. Manjurul Gani

{"title":"Traditional Bengali Food Classification Using Convolutional Neural Network","authors":"Asif Mahbub Uddin, A. A. Al Miraj, Moumita Sen Sarma, Avishek Das, Md. Manjurul Gani","doi":"10.1109/TENSYMP52854.2021.9550874","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550874","url":null,"abstract":"Image classification is turning into a significant and promising perspective in the fields of object recognition using computer vision. However, researchers have barely scratched the superficials of food image classification till now. To evaluate the dietary aptitudes of people from various ethnicities, the classification of their traditional foods makes a huge impact. That’s what steered us into the classification of seven traditional foods in Bangladesh. In this regard, our key contribution to this aspect is the development of a dataset of Traditional Bengali Food Image (TBFI) including images of seven different classes of traditional Bengali foods: Biriyani, Panta Ilish, Khichuri, Fuchka, Roshogolla, Dim Vuna & Kala Vuna. For this, a scratch model incorporating Convolutional Neural Network (CNN) has been developed, rectifying to another vital contribution. As conventional Neural Network doesn’t perform well in case of image datasets, the CNN approach has been followed in view of its high accuracy, computational power with efficiency and automatic recognition of important features without any human oversight. Moreover, transfer learning approach with fine tuned VGG16 has also been used for TBFI classification. The proposed model in this paper has generated a culminated outcome upon our TBFI dataset with an average accuracy of 98% in classifying the traditional Bengali food images.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124479564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

TCP-Based Audiovisual and Haptic Interactive Communications under Dynamic Traffic Conditions 动态交通条件下基于tcp的视听触觉交互通信

2021 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2021-08-23 DOI: 10.1109/TENSYMP52854.2021.9550837

Toshiro Nunome, Atsunori Ito

引用次数: 0