2022 9th NAFOSTED Conference on Information and Computer Science (NICS)最新文献_第6页

Application of Internet of Things and computer vision in building intelligent light model using solar energy 物联网与计算机视觉在太阳能智能照明模型中的应用

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013476

Minh Le Quang Nhat, Tri Ho Minh, Thang Dang Van, Nhan Thanh Thanh Nguyen, SỰ Cứu, Linh Huynh Thi Thuy

引用次数: 0

Tracking and Calculating Speed of Mixing Vehicles Using YOLOv4 and DeepSORT 基于YOLOv4和DeepSORT的混合车辆速度跟踪与计算

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013396

P. N. Huu, BangLe Anh, Vu Tran Ngoc Nam, Tran Manh Hoang, Tien Dzung Nguyen, Q. Minh

引用次数: 0

Study on Drag Reduction of a Car Prototype for Fuel-Saving Competition 面向节油竞赛的汽车原型减阻研究

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10062568

T. D. Hong, Tran Thi Minh Khoa, M. Q. Pham, Le Thanh Long, T. Huynh

{"title":"Study on Drag Reduction of a Car Prototype for Fuel-Saving Competition","authors":"T. D. Hong, Tran Thi Minh Khoa, M. Q. Pham, Le Thanh Long, T. Huynh","doi":"10.1109/NICS56915.2022.10062568","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10062568","url":null,"abstract":"This paper discusses the optimal aerodynamic shape design for the vehicle model participating in the Shell Eco-Marathon. The design of the vehicle's body is developed based on the chassis structure and regulations of the competition. Simultaneously, the NACA 2421 Airfoil profile is used to construct the vehicle body shape to reduce the aerodynamic drag. Three series of numerical simulations were conducted to determine the optimal values of the diffuser angle and the body side profile for the minimum aerodynamic drag. The first simulation series was performed on a three-dimensional vehicle model with different diffuser angles to find the angle that yields the smallest aerodynamic drag value. In the second series of simulations, the optimization focused on the body side profile of the vehicle model with different heights of the NACA 2421 profile sections of 0.5H, 0.6H, and 0.7H, in which H is the total height of the upper side of the NACA 2421 airfoil's profile, while the optimal diffuser angle is fixed. The last simulation series investigated the aerodynamic drag on the vehicle model with the optimal diffuser angle and body side shape at different velocities. The results show that the model with a diffuser angle of 15° and a body side profile of the NACA 2421 profile section with the height of 0.6H produces the minimum aerodynamic drag. The optimal drag coefficients of the vehicle model vary in the range of 0.150 to 0.129 along with the velocities of 20 to 50 km/h, respectively. The study showed that applying the NACA 2421 profile to the vehicle profile design for reducing fuel consumption has obtained significant achievements.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115740832","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

An automatic tool for yoga pose grading using skeleton representation * 使用骨架表示的瑜伽姿势分级的自动工具*

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013455

Thanh Nam Nguyen, Thanh-Hai Tran, Hai Vu

引用次数: 1

Keynote Talk 1: Bacteria Classification by Small-Scale Deep Learning 主题演讲1:细菌分类的小规模深度学习

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/nics56915.2022.10013377

K. Ishibashi

引用次数: 0

High-accuracy Computation of Rolling Friction Contact Problems 滚动摩擦接触问题的高精度计算

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013388

Vincent Acary, P. Armand, Hoang Minh Nguyen

引用次数: 0

Mini-Drone Photogrammetry for 3D Modeling of City Building: A Case Study at Ho Chi Minh University of Technology 微型无人机摄影测量用于城市建筑的三维建模:胡志明工业大学的案例研究

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013448

Quang Khoi Tran, Chan Huy Quan, Nguyen Kim Ngan Luu, Khánh Hiếu Ngô

引用次数: 0

Model reduction for systems with nonzero initial conditions and output error bounds 具有非零初始条件和输出误差界系统的模型约简

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013438

Nguyen Mai Quyen, Lê Thị Nhân, Chu Binh Minh, H. B. Minh

引用次数: 0

Vietnamese Electronic Medical Record Management with Text Preprocessing for Spelling Errors 越南电子病历管理与文本预处理拼写错误

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013386

Khang Tran, Anh Nguyen, C. Vo, P. Nguyen

{"title":"Vietnamese Electronic Medical Record Management with Text Preprocessing for Spelling Errors","authors":"Khang Tran, Anh Nguyen, C. Vo, P. Nguyen","doi":"10.1109/NICS56915.2022.10013386","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013386","url":null,"abstract":"With an important development of information technology, electronic medical records (EMRs) play a crucial role in medicine and its related fields such as pharmacology, bioinformatics, and healthcare research. An EMR management system is thus significant so that EMRs can be manipulated conveniently by their key users, who are doctors, nurses, and patients, and further exploited by other researchers. Nonetheless, there is no consideration on the EMRs when they are committed to the system. Their clinical texts are especially left behind upon their entry. Such a circumstance is understandable because they are created in a high-pressure working environment and normally late examined as needed in other tasks. In order to fill this gap, we propose an EMR management system with text preprocessing for spelling error correction on clinical texts. Our system is dedicated to Vietnamese EMRs with a practical demonstration confirmed by doctors and medical students. In addition, the spelling error correction method is defined to cover a wide diversity of spelling errors in a novel hybrid manner, by effectively combining a rule-based approach, dictionaries, n-grams, and a pre-trained monolingual sequence-to-sequence model. Indeed, the experimental results show that the method has better performance on real EMRs as compared to one of the most recent existing ones. As a result, it is promising that our work can enhance and make Vietnamese EMRs more utilizable.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116998627","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

A New LCFCN-based Approach for Weakly-Supervised Fish Segmentation 基于lcfcn的弱监督鱼类分割新方法

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013406

Do-Hai-Ninh Nham, V. Nguyen, Minh-Nhat Trinh, Van-Truong Pham, Thi-Thao Tran

{"title":"A New LCFCN-based Approach for Weakly-Supervised Fish Segmentation","authors":"Do-Hai-Ninh Nham, V. Nguyen, Minh-Nhat Trinh, Van-Truong Pham, Thi-Thao Tran","doi":"10.1109/NICS56915.2022.10013406","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013406","url":null,"abstract":"Fish statistics and measurements are important for aqua-environment nowadays. While physical approaches might be expensive and prone to be erroneous, some automatic methods are dependent on the necessity of full annotations for supervised segmentation process; which is time-consuming and required manual labors. Inspired by the deep-learning methods and weakly-supervised approaches, we develop an efficient network for dataset with point-level supervision that fishes are labeled in a single mouse-click. With one branch containing our proposed baseline network output, the other branch includes the affinity matrix output that both of them are concatenated before being fed into a random walk architecture to attain the final. Additionally, the proposed architecture is trained with a new loss function based on the localization-based counting fully convolutional neural network (LCFCN); before being validated on the FishSeg testing part of the DeepFish dataset. Experimental results have confirmed the validity of our proposed affinity-LCFCN (A-LCFCN) solution on such a cheap fish dataset conbining both point-labeled and fully-masked images.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120936095","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