{"title":"A Military Mobile Network Design: mHealth, IoT and Low Power Wide Area Networks","authors":"James Jin Kang","doi":"10.1109/ITNAC50341.2020.9315168","DOIUrl":"https://doi.org/10.1109/ITNAC50341.2020.9315168","url":null,"abstract":"Networks for military applications have unique characteristics as they have high security requirements and adaptability to changing circumstances and landscape. As a result, they are usually composed of unstructured networks. Ad hoc networks are unstructured in nature and are increasing in prevalence with such examples being Low Power Wide Area Networks (LPWAN) and Wireless Body Area Networks (WBAN). These are emerging alongside various applications such as health monitoring and emergency user location identification, which can be further augmented with alarm detection that raises alarms from the inference of a user’s situation via the use of sensors and personal devices within an LPWAN. During a military operation, injured personnel or those at emergent health risks could be identified and located from an automatic alarm activation in such an application. This paper discusses the design and aspects of a network for secure automated messaging and data fusion which could be applicable to a military setting.","PeriodicalId":131639,"journal":{"name":"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127256320","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}
{"title":"Road Crack Detection Using Gaussian Mixture Model for Diverse Illumination Images","authors":"Da-Ren Chen, Wei-Min Chiu","doi":"10.1109/ITNAC50341.2020.9315113","DOIUrl":"https://doi.org/10.1109/ITNAC50341.2020.9315113","url":null,"abstract":"The studies on road crack detection using machine learning techniques have been conducted and derived significant accuracies. Most of the studies do not consider diverse illumination during daytime or nighttime, and only focus on the detection of category or presence of road crack. In this paper, we propose IlumiCrack, a novel road crack detection framework collaborating Gaussian mixture model (GMM) and object detection CNN models to address these issues. The contributions of this paper are: 1) For the first time, a large- scale road crack dataset with a variety of illumination such as the pictures at nighttime are prepared using a dashcam. 2) On the basis of GMM, experimental evaluations on 2 to 4 levels of brightness classification is conducted for optimal classification. Experimental results show that IlumiCrack outperforms the state-of-the-art R-CNN object detection framework.","PeriodicalId":131639,"journal":{"name":"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125066049","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}
{"title":"Framework for a Decentralized Web","authors":"Raman Singh, Andrew Donegan, H. Tewari","doi":"10.1109/ITNAC50341.2020.9315032","DOIUrl":"https://doi.org/10.1109/ITNAC50341.2020.9315032","url":null,"abstract":"Over the past decade, we have witnessed the Internet becoming increasingly centralized in the hands of a small number of giant technology firms, that control many of the most popular applications and the content they host on their platforms. In addition, in the majority of instances today, access to the Internet is usually provided through local internet service providers (ISPs) in each country. Governments in different jurisdictions can exert pressure on these technology firms and ISPs to enforce restrictions on Internet usage by their citizens, such as the blocking access to certain sites and/or content. In this paper, we present a promising new approach to circumventing some of these issues. Our decentralized web (DWeb) proposal makes use of a mesh network to connect community based routers. In addition, objects on the DWeb are indexed using blockchain technology, which allows for secure storage of immutable object references, and integrity checking of the data being served to users. Our DWeb design is also capable of operating during network partitions, and is able to quickly re-synchronize with the larger network once connectivity has been restored. The proposed concept is simulated using ns-3, Multichain and Docker technologies. The performance of the system is analysed for different cache replacement strategies with a varying number of gateway nodes. The Popularity-based cache replacement algorithm outperforms the other studied strategies, which show it is the best-suited strategy for the DWeb architecture. In summary, DWeb solves issues like data integrity, centralization and controlled access to the Internet, and the overall framework exhibits fair performance in the studied simulated environment.","PeriodicalId":131639,"journal":{"name":"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134538388","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}
{"title":"Technical Program Committee Welcome","authors":"","doi":"10.1109/atnac.2017.8215346","DOIUrl":"https://doi.org/10.1109/atnac.2017.8215346","url":null,"abstract":"","PeriodicalId":131639,"journal":{"name":"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125429902","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}