{"title":"RILL: A RSSI-based Lightweight Positioning Algorithm for Wireless Sensor Networks","authors":"Run Ye, B. Yan, Yu-Han Huang","doi":"10.1109/ACCC54619.2021.00022","DOIUrl":"https://doi.org/10.1109/ACCC54619.2021.00022","url":null,"abstract":"Wireless sensor networks (WSNs) have been widely used in positioning, monitoring, military among many other applications. Positioning algorithm is one of the most important technique in WSNs. However, the positioning accuracy is directly impacted by the distance measurement methods. In order to improve the positioning accuracy, we proposed a novel (Received Signal Strength Indication) RSSI-based Lightweight Positioning algorithm for wireless sensor networks (RILL). In RILL, we use the RSSI to estimate the distance between the mobile nodes and fixed nodes. The mobile node can combine the position information of the fixed nodes with the distance between the fixed nodes and itself to get a square. The center of the square is the position coordinate of these fixed nodes, respectively, and the side length of the square is double the distance. The estimated position of the mobile node is the three square's centroid coincident area or the intersection area extension line. The biggest characteristic of our RILL is that even though the accuracy of RSSI-based distance measurement is not high, RILL can get an optimal estimation result. Furthermore, the algorithm complexity of RILL is much lower when compared to other positioning algorithms. Our experiments show that RILL has a better positioning result compared to centroid positioning and trilateral positioning algorithm.","PeriodicalId":215546,"journal":{"name":"2021 2nd Asia Conference on Computers and Communications (ACCC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131143040","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":"Apply VR to Carry out Crew Escape Training","authors":"Outong Li, Haiting Han","doi":"10.1109/ACCC54619.2021.00014","DOIUrl":"https://doi.org/10.1109/ACCC54619.2021.00014","url":null,"abstract":"The digital transformation of the shipping industry has brought significant challenges to ship-driving technology and new opportunities for crews. This report first analyzes the problems related to large ships' training and puts forward the necessity of efficient communication and computer support. The analysis and research of 3D imaging technology and computer-aided systems such as VR puts forward the evacuation model of the crew training with VR and optimizes the evacuation of the ship's members in the event of an accident, and analyzes and summarizes the advantages of VR training by examining the relevant products or systems such as Maersk training, Shenzhen Maritime Bureau and Videotel. VR supports crew safety writing needs to consider and eventually proposes a basic model for knowing related systems' development. The analysis methods mainly include literature investigation, video analysis, interview, and database analysis.","PeriodicalId":215546,"journal":{"name":"2021 2nd Asia Conference on Computers and Communications (ACCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131316963","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":"Multi-Feature Integration and Occlusion Detect Mechanism Based Object Tracking Algorithm","authors":"Qiang Fu, Xuxin Liang, Yuanfa Ji, Fenghua Ren","doi":"10.1109/ACCC54619.2021.00015","DOIUrl":"https://doi.org/10.1109/ACCC54619.2021.00015","url":null,"abstract":"Tracking failure happens in complex scenes such as background clutter and occlusion. Aiming at improving performance of the correlation filter based tracking algorithm, an object tracking algorithm that integrates multi-feature and occlusion detect mechanism is proposed. In this paper, multi-feature is utilized in the construction of object appearance model and background context model for better representing object and discriminating object from disturbance. In addition, an occlusion detection mechanism is introduced to effectively estimate whether the object is occluded or seriously disturbed, avoiding the useless model updating in the occlusion scene. Experimental results on the OTB-100 dataset show that the success rate score of the proposed algorithm is 0.631 and the precision rate score is 0.865 that better than other compared algorithms in many complex scenes.","PeriodicalId":215546,"journal":{"name":"2021 2nd Asia Conference on Computers and Communications (ACCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129908517","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":"Cyber Attacks Detection Based on Generative Adversarial Networks","authors":"Aining Shi","doi":"10.1109/ACCC54619.2021.00025","DOIUrl":"https://doi.org/10.1109/ACCC54619.2021.00025","url":null,"abstract":"The development of the Internet of things (IoT) and other modern technologies brings not only great convenience and intelligence to society but also the severe problem of cyber security. In recent years, a large number of network attacks, especially botnet and distributed denial of service (DDoS) attacks which are difficult to detect, have seriously affected the normal operation of social work. Solutions and methods based on artificial intelligence techniques are therefore proposed to help detect cyberattacks. In this paper, the application of GAN in the field of network security is discussed. GAN has been one of the most significant deep learning models in recent years. It consists of a generative model and a discriminative model which can be combined to produce a dynamic game system. GAN has been applied in various fields such as image generation, speech processing, data enhancement, and cyberattack detection. This paper demonstrates the basic working principle and infrastructure of GAN, and also focuses on how the GAN model assists with cyber intrusion detection.","PeriodicalId":215546,"journal":{"name":"2021 2nd Asia Conference on Computers and Communications (ACCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128965865","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":"News Insider: Innovating News Understanding to Improve the Quality of Reading Experience","authors":"Zhengkui Wang, Soumyadeb Chowdhury, Malcolm Yoke Hean Low, Wen Shan","doi":"10.1109/ACCC54619.2021.00027","DOIUrl":"https://doi.org/10.1109/ACCC54619.2021.00027","url":null,"abstract":"Currently, with the advent of myriad news applications, which have increased the volume of information, users are faced with the challenge of discovering this information effectively and efficiently. In this paper, we present one web-based news platform, NewsInsider, providing an array of novel features for exploring and reading news in Singapore. NewsInsider integrates multiple news crawlers to extract news from online sources, employs news analytics and Artificial Intelligence to automatically process the news (e.g., categorizing the news, extracting trending topics, detecting the named entities, and tagging the geographic location to the news). Based on all the extracted information, NewsInsider provides the readers with novel search functionalities to find news stories using the location, categories, topics, entities, and postcodes. Additionally, NewsInsider employs visual graphs and a master-detailed interface to present the information related to news stories in a meaningful and intuitive way.","PeriodicalId":215546,"journal":{"name":"2021 2nd Asia Conference on Computers and Communications (ACCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128060412","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}