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2020 RIVF International Conference on Computing and Communication Technologies (RIVF)最新文献

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RIVF 2020 Keyword Index RIVF 2020关键词索引
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/rivf48685.2020.9140772
{"title":"RIVF 2020 Keyword Index","authors":"","doi":"10.1109/rivf48685.2020.9140772","DOIUrl":"https://doi.org/10.1109/rivf48685.2020.9140772","url":null,"abstract":"","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125953223","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
Improved Shadow Removal Algorithm for Vehicle Classification in Traffic Surveillance System 基于改进阴影去除算法的交通监控系统车辆分类
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/RIVF48685.2020.9140784
H. Phan, L. Pham, Nhat Minh Chung, Synh Viet-Uyen Ha
{"title":"Improved Shadow Removal Algorithm for Vehicle Classification in Traffic Surveillance System","authors":"H. Phan, L. Pham, Nhat Minh Chung, Synh Viet-Uyen Ha","doi":"10.1109/RIVF48685.2020.9140784","DOIUrl":"https://doi.org/10.1109/RIVF48685.2020.9140784","url":null,"abstract":"Shadows are among the most critical problems for traffic surveillance systems (TSSs). In a TSS, shadow regions significantly affect the extraction of vehicles’ attributes for vehicle detection, classification and tracking. Although many methods have been proposed to address this key problem, the dilemma of accurate shadow removal with vehicles’ boundaries recovery and real-time processing still poses as a great challenge. In this paper, we propose a new method for shadow removal that utilizes edge features to eliminate shadows, and to refine vehicles’ images regardless of the changes in illumination and shadow orientations. Experiments were done on real-world data to compare the results of our method with previous ones. Thorough investigation shows that our method gets rid of vehicles’ shadows more accurately and significantly restores conveyances’ images from shadow separation. In addition, our method is real-time.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123760414","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: 5
Privacy behavior in cyberspace: an overview of current research on health information disclosure 网络空间中的隐私行为:健康信息披露研究现状综述
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/RIVF48685.2020.9140762
L. Le, Phuong Ai Hoang, H. Pham
{"title":"Privacy behavior in cyberspace: an overview of current research on health information disclosure","authors":"L. Le, Phuong Ai Hoang, H. Pham","doi":"10.1109/RIVF48685.2020.9140762","DOIUrl":"https://doi.org/10.1109/RIVF48685.2020.9140762","url":null,"abstract":"The emergence of the online health community and health information exchange has brought the rise in privacy concerns, especially when personal health information is perceived as being more sensitive than other types of information. Hence, understanding privacy concerns and disclosing behavior in the context of the health information community has become crucial for both online platforms and their members. This study conducts a semi-systematic review of health information privacy studies to interpret how and what motivates individuals to disclose personal health information in the online community. This study also provides implications and sets the basic foundation for future researches on health information disclosure.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114400191","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
Towards Chatbot-based Interactive What- and How-Question Answering Systems: the Adobot Approach 迈向基于聊天机器人的交互式问答系统:Adobot方法
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/RIVF48685.2020.9140742
Luong Tran Hien, Ly Tran Thi Ly, Pham-Nguyen Cuong, T. Dinh, Hong Tiet Gia, Le Nguyen Hoai Nam
{"title":"Towards Chatbot-based Interactive What- and How-Question Answering Systems: the Adobot Approach","authors":"Luong Tran Hien, Ly Tran Thi Ly, Pham-Nguyen Cuong, T. Dinh, Hong Tiet Gia, Le Nguyen Hoai Nam","doi":"10.1109/RIVF48685.2020.9140742","DOIUrl":"https://doi.org/10.1109/RIVF48685.2020.9140742","url":null,"abstract":"An interactive question answering (QA) system is defined as a QA system that supports a series of exchanges between users and the system to clarify user intent and to enable follow-ups. In the domains of applications related to technical support and training, there is an urgent need for an interactive QA system that supports complicated questions in a coherent manner. This paper presents the approach for designing and implementing chatbot-based interactive What- and How-QA systems based on an integrated ontology-based knowledge base.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117294740","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: 4
RIVF 2020 Author Index RIVF 2020作者索引
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/rivf48685.2020.9140796
{"title":"RIVF 2020 Author Index","authors":"","doi":"10.1109/rivf48685.2020.9140796","DOIUrl":"https://doi.org/10.1109/rivf48685.2020.9140796","url":null,"abstract":"","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"152 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114099998","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 min-conflicts algorithm for maximum stable matchings of the hospitals/residents problem with ties 带关系的医院/住院医师最大稳定匹配的最小冲突算法
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/RIVF48685.2020.9140756
N. T. Uyen, Long Giang Nguyen, Truong-Thang Nguyen, H. Viet
{"title":"A min-conflicts algorithm for maximum stable matchings of the hospitals/residents problem with ties","authors":"N. T. Uyen, Long Giang Nguyen, Truong-Thang Nguyen, H. Viet","doi":"10.1109/RIVF48685.2020.9140756","DOIUrl":"https://doi.org/10.1109/RIVF48685.2020.9140756","url":null,"abstract":"This paper presents a min-conflicts algorithm to find a maximum weakly stable matching for the Hospitals/Residents problem with Ties (MAX-HRT). We represent the problem in terms of a constraint satisfaction problem and apply a local search approach to solve the problem. Our key idea is to find a set of undominated blocking pairs from residents’ point of view and then remove the best one to not only reject all the blocking pairs formed by the residents but also to reject as many as possible the blocking pairs formed by hospitals from the hospitals’ point of view. Experiments show that our algorithm is efficient for solving MAX-HRT of large sizes.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121951911","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
Network Analytics for Improving Students’ Cybersecurity Awareness in Online Learning Systems 提高在线学习系统中学生网络安全意识的网络分析
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/RIVF48685.2020.9140781
B. MinhHoangT., Duy Dang-Pham, A. Hoang, Bao Le Gia, M. Nkhoma
{"title":"Network Analytics for Improving Students’ Cybersecurity Awareness in Online Learning Systems","authors":"B. MinhHoangT., Duy Dang-Pham, A. Hoang, Bao Le Gia, M. Nkhoma","doi":"10.1109/RIVF48685.2020.9140781","DOIUrl":"https://doi.org/10.1109/RIVF48685.2020.9140781","url":null,"abstract":"Many universities have been widely delivering online courses via online learning systems that rely on the Internet in their execution. However, such systems often focus on the delivery of online courses while overlooking cybersecurity issues. To ensure the cybersecurity of the online learning environment, students and end-users must have appropriate knowledge and be aware of cybersecurity issues. This research identifies the key knowledge areas that belong to the students’ cybersecurity awareness, namely internal threats, false identity authentication, and personal data leakage. It then proposes the network analytics approach to disseminate cybersecurity knowledge, by identifying the influential students from their social networks of online interactions in the online learning systems. A work-in-progress network analytics dashboard is presented, and future research actions are discussed in this paper.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127958086","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
Drones vs Dengue: A Drone-Based Mosquito Control System for Preventing Dengue 无人机vs登革热:基于无人机的蚊虫控制系统预防登革热
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/RIVF48685.2020.9140773
A. Amarasinghe, V. B. Wijesuriya
{"title":"Drones vs Dengue: A Drone-Based Mosquito Control System for Preventing Dengue","authors":"A. Amarasinghe, V. B. Wijesuriya","doi":"10.1109/RIVF48685.2020.9140773","DOIUrl":"https://doi.org/10.1109/RIVF48685.2020.9140773","url":null,"abstract":"Dengue is one of the most rapidly spreading diseases in Asia. It is transmitted by the bite of a female Aedes mosquito. Aedes mosquitoes breed in places with stagnant water. Unfortunately, some of these places are not often directly accessible to humans. However, drones can easily reach such locations from above ground. In this paper, we present a drone-based mosquito control system that is capable of identifying possible mosquito breeding grounds with the assistance of drones and taking suitable measures to prevent the growth of mosquito population. We also propose two algorithms to identify small-scale standing water bodies. Field tests and experimental evaluation show that our approach is highly effective in identification and neutralisation of those water bodies conducive to the survival of Aedes mosquitoes.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130433846","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
Multi-level detector for pornographic content using CNN models 使用CNN模型的色情内容多级检测器
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/RIVF48685.2020.9140734
Quang-Huy Nguyen, Khac-Ngoc-Khoi Nguyen, Hoang-Loc Tran, Thanh-Thien Nguyen, Dinh-Duy Phan, Duc-Lung Vu
{"title":"Multi-level detector for pornographic content using CNN models","authors":"Quang-Huy Nguyen, Khac-Ngoc-Khoi Nguyen, Hoang-Loc Tran, Thanh-Thien Nguyen, Dinh-Duy Phan, Duc-Lung Vu","doi":"10.1109/RIVF48685.2020.9140734","DOIUrl":"https://doi.org/10.1109/RIVF48685.2020.9140734","url":null,"abstract":"This paper focuses on detecting and classifying pornographic content (images and videos) by using a multi-level CNN model with some supportive models. The main approaching method is to determine the images (keyframes extracted from videos) containing sensitives content or not by applying object detection model Mask R-CNN, which is the completely new approaching method in pornographic recognition. Moreover, the proposed model also adapts some other methods such as feature extraction and classifying based on CNN to increase the accuracy of the adaptive methods and ignore non-pornographic images and videos. Experimental results using the Pornography-800 and Pornography-2K datasets, performance of our method is reaching the accuracy of 92.13% and 90.40% respectively, show the effectiveness of the proposed method.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131026043","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: 11
A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification 基于多核卷积神经网络的声学场景分类再训练模型
2020 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2020-10-01 DOI: 10.1109/RIVF48685.2020.9140774
Tuan N. Nguyen, D. Ngo, L. Pham, Linh Tran, Trang Hoang
{"title":"A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification","authors":"Tuan N. Nguyen, D. Ngo, L. Pham, Linh Tran, Trang Hoang","doi":"10.1109/RIVF48685.2020.9140774","DOIUrl":"https://doi.org/10.1109/RIVF48685.2020.9140774","url":null,"abstract":"This paper proposes a deep learning framework applied for Acoustic Scene Classification (ASC), which identifies recording location. In general, we apply three types of spectrograms: Gammatone (GAM), log-Mel and Constant Q Transform (CQT) for front-end feature extraction. For back-end classification, we present a re-trained model with a multi-kernel CDNN-based architecture for the pre-trained process and a DNN-based network for the post-trained process. Our obtained results over DCASE 2016 dataset show a significant improvement, increasing by nearly 8% compared to DCASE baseline of 77.2%.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123608105","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
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