2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献

Physical Layer Security in Cognitive Radio Networks for IoT Using UAV With Reconfigurable Intelligent Surfaces 使用具有可重构智能表面的无人机的物联网认知无线电网络的物理层安全

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493817

Van Nhan Vo, Nguyen Quoc Long, V. Dang, C. So-In, Anh-Nhat Nguyen, Hung Tran

{"title":"Physical Layer Security in Cognitive Radio Networks for IoT Using UAV With Reconfigurable Intelligent Surfaces","authors":"Van Nhan Vo, Nguyen Quoc Long, V. Dang, C. So-In, Anh-Nhat Nguyen, Hung Tran","doi":"10.1109/JCSSE53117.2021.9493817","DOIUrl":"https://doi.org/10.1109/JCSSE53117.2021.9493817","url":null,"abstract":"In this paper, the secrecy performance of a cognitive radio networks (CRN) for Internet of Things (IoT) in the presence of an eavesdropper (EAV) is investigated. In particular, a primary transmitter (PT) communicates with multiple primary IoT device (ID) receivers (i.e., PRs) at the licensed frequency. Meanwhile a secondary transmitter (ST) uses the same licensed frequency of the primary network to send the confidential signal to an unmanned aerial vehicle (UAV) that is equipped with the reconfiguration intelligent surfaces (RIS) (called UAV-RIS) as a relay. The UAV-RIS then forwards this confidential signal to multiple secondary ID receivers (i.e., SRs). Furthermore, an EAV is located near the multiple SRs and can eavesdrop the confidential signal from the UAV-RIS. Accordingly, we propose the ST’s transmit power policy to not cause harmful interference to the primary network. In addition, the physical layer security (PLS) in terms of the secrecy outage probability (SOP) of the considered CRN is analyzed. The numerical results show that the secrecy performance of the secondary network is improved as the numbers of the RIS cells increase.","PeriodicalId":437534,"journal":{"name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125040005","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: 6

A Development of Game-Based Learning in Virtual Reality for Fire Safety Training in Thailand 基于游戏的虚拟现实学习在泰国消防安全培训中的发展

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493836

Kodchaporn Satapanasatien, Thanchanok Phuawiriyakul, S. Moodleah

{"title":"A Development of Game-Based Learning in Virtual Reality for Fire Safety Training in Thailand","authors":"Kodchaporn Satapanasatien, Thanchanok Phuawiriyakul, S. Moodleah","doi":"10.1109/JCSSE53117.2021.9493836","DOIUrl":"https://doi.org/10.1109/JCSSE53117.2021.9493836","url":null,"abstract":"Fire incidents damaged both the economy and human life. In the past three decades, 59,387 fire incidents in Thailand approximately lost 40 billion baht and 2,076 deaths. Fire safety training methods are organized in a very limited number each year for many reasons such as training place or safety concern. We propose game-based learning for fire safety training using virtual reality technology. We create five learning lessons based on fire training contents and three playing stages (play, learn and test) that players can interact with. It behaves as a self-learning tool that can be used often and overcome the difficulty in organizing fire safety training. In addition, virtual technology simulates realistic computer graphic contents and rich interactive actions. Most importantly it offers a safe virtual environment; it extends the audience to a wide range of ages. Our game-based training is evaluated, and the result shows that fire safety knowledge is increased by 122% and 63% compared to the non-training and the traditional training respectively as well as users' satisfaction average score is exceeded 90%.","PeriodicalId":437534,"journal":{"name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129131516","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

Asynchronously Parallel Decoding For Automatic Speech Recognition Services 用于自动语音识别服务的异步并行解码

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493832

Nattapong Kurpukdee, Surasak Boonkla, P. Sertsi, Vataya Chunwijitra

引用次数: 0

Detecting Facial Images In Public With And Without Masks Using VGG And FR-TSVM Models 基于VGG和FR-TSVM模型的公共场合面部图像检测

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493848

Hangkai Wang, C. Lursinsap

引用次数: 1

Transmission Sequencing to Improve LoRaWAN Performance 提高LoRaWAN性能的传输排序

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493820

Krit Wongwatthanaroek, R. Silapunt

引用次数: 2

Smart School Attendance System using Face Recognition with Near Optimal Imaging 基于近最优成像的人脸识别智能考勤系统

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493844

Kittipong Tapyou, Pannawich Chaisil, Jirapond Muangprathub

{"title":"Smart School Attendance System using Face Recognition with Near Optimal Imaging","authors":"Kittipong Tapyou, Pannawich Chaisil, Jirapond Muangprathub","doi":"10.1109/JCSSE53117.2021.9493844","DOIUrl":"https://doi.org/10.1109/JCSSE53117.2021.9493844","url":null,"abstract":"This work aimed to develop a students' school attendance system with a web application and IoT devices as the two main parts. The web application was designed to manipulate the student data acquisition while IoT was used for face recognition to detect student attendance. This process applied Haar cascade and EBGM approaches to classify and distinguish faces for the web application. The web application was implemented with PHP language and a MySQL database provided for usage by three user groups: teachers, students and staff. The face recognition system was implemented on Raspberry Pi to connect with web application and record the student time attendance data. This work improves the accuracy of face detection by use of physical factors. We found that the current face recognition algorithm is highly efficient if the face position is arranged for clear image capture. Thus, this work also focuses on finding the right position to capture the user’s face. The experimental test provided 100% accuracy of student classifier when they stand in a suitable position for imaging. The results show that the suitable position depends on the student face training count. In addition, the distance between camera and standing student affects the accuracy of face recognition.","PeriodicalId":437534,"journal":{"name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126263313","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

Quality Evaluation Method of 2D SLAM 二维SLAM质量评价方法

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493845

Natcha Cota, Phatham Loahavilai, Sirawit Yanwicharaporn, P. Phukphan, R. Jintamethasawat, T. Chulapakorn, P. Rattanawan, Cherdsak Kingkan, K. Prasertsuk

引用次数: 0

Message from General Chairs 主席致辞

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/jcsse53117.2021.9493805

引用次数: 0

Rapid Deployment of Ultra-Wideband Indoor Positioning System 超宽带室内定位系统的快速部署

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493809

Phatham Loahavilai, C. Thanapirom, P. Rattanawan, T. Chulapakorn, Sirawit Yanwicharaporn, Cherdsak Kingkan, K. Prasertsuk, Natcha Cota

引用次数: 4

Vertebrae Pose Segmentation based on Temporal Anisotropic Diffusion and Ensembled Gradient 基于时间各向异性扩散和集合梯度的椎骨位姿分割

2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2021-06-30 DOI: 10.1109/JCSSE53117.2021.9493831

Podchara Klinwichit, John Gatewood Ham, K. Chinnasarn

引用次数: 0