Fengrong Han, Xinni Liu, I. Mohamed, K. Ghazali, Yue Zhao
{"title":"A Survey on Deployment and Coverage Strategies in Three-Dimensional Wireless Sensor Networks","authors":"Fengrong Han, Xinni Liu, I. Mohamed, K. Ghazali, Yue Zhao","doi":"10.1145/3316615.3316716","DOIUrl":"https://doi.org/10.1145/3316615.3316716","url":null,"abstract":"The deployment and coverage strategies are key issues in researches and the applications of WSNs, since it greatly influences the node energy, communication bandwidth and Quality of Service (QoS) for WSNs. The current literatures on sensor coverage control approaches mainly focused on the two-dimensional (2D) plane. However, many applications including underwater monitoring, indoor surveillance and others scenarios that are deployed on the three-dimensional (3D) space. This paper presents an extensive overview of various coverage and deployment problems and algorithms in three-dimensional wireless sensor networks. It focuses on different coverage strategies, vital characteristics, design schemes, advanced methods and practical constraints dealing with coverage and deployment in 3D WSNs.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115806906","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":"Towards the Idea of Agricultural Market Understanding for Automatic Event Detection","authors":"Mallika Kliangkhlao, S. Limsiroratana","doi":"10.1145/3316615.3316650","DOIUrl":"https://doi.org/10.1145/3316615.3316650","url":null,"abstract":"Agricultural Market (AM) understanding has the main goal to discover knowledge of market situation for decision making in agricultural management. Agricultural Big Data (agri-big data) is the valuable data for that process. With the uncertainty of agri-big data, it needs expert knowledge to understand AM-related effect from the observation to infer the most complete situation. This manual process causes the cost of time-consuming. It is important to consume the well-timed data and generate knowledge for supporting decision maker to make policy in agribusiness. Therefore, the concept of automatic agri-big data processing using Machine Learning for AM understanding is more focused. This paper shows the application of that idea with agricultural market event detection in case study of Natural Rubber (NR) Market in Thailand. The automatic AM understanding and its challenge are discussed.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115862598","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":"A Model Integrating Information of Multiple Social Networks","authors":"Xiangling Fu, Chenwei Yan, Pengya Zhao","doi":"10.1145/3316615.3316633","DOIUrl":"https://doi.org/10.1145/3316615.3316633","url":null,"abstract":"With the growing popularity of social networks, social network platforms with different scales and their distinct characteristics are forming worldwide. For the mutual competition between the companies, the younger generations start to use different social network platforms to do social activities. As these platforms compete with each other and share the markets, more and more young people start to be the user of different social network platforms and socialize with their friends. Unfortunately, they have to tolerant bad user experience when using many social network platforms in mobile devices because of the poor hardware performance and small mobile phone screen. To improve the user experience, this research, basing on the ordinary theories of information integration, combining the features of social network information, introducing mapping mechanism, proposes Multi-Social Networks' Information Integration Model. The model is viewed from the perspective of methodology and descripted in the formal methods. Finally, the performance of the model is evaluated by the experiments, which shows user experience is improved significantly.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132507692","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":"3D Coordinate Calculation and Pose Estimation of Power Meter based on Binocular Stereo Vision","authors":"Qingdan Huang, W. Mo, Liqiang Pei, Lian Zeng","doi":"10.1145/3316615.3316655","DOIUrl":"https://doi.org/10.1145/3316615.3316655","url":null,"abstract":"To establish an intelligent power meter verification automatic flow operation platform, it is necessary to transport different types of power meters from the area to be verified to the conveyor belt of the instrument verification line. Aiming at the background demand of this practical application, this paper studies the power meter positioning based on binocular stereo vision, including instrument 3D coordinate calculation and pose estimation. The instrument 3D coordinate calculation mainly calculates the coordinates of the instrument center point through the stereo matching algorithm. The instrument pose estimation mainly expresses the space pose of the instrument by increasing the inclination angle of the instrument in the horizontal plane. Through the 3D coordinate calculation and pose estimation of the power meter, the spatial position of the instrument relative to the binocular stereo vision system can be obtained, which lays a foundation for automatic grabing of power meter by mechanical arm.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127573666","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}
Seika Tanaka, Hajime Iwata, Junko Shirogane, Y. Fukazawa
{"title":"Development Support of User Interfaces Adaptive to Use Environment","authors":"Seika Tanaka, Hajime Iwata, Junko Shirogane, Y. Fukazawa","doi":"10.1145/3316615.3316663","DOIUrl":"https://doi.org/10.1145/3316615.3316663","url":null,"abstract":"Many applications are used across various platforms, including personal computers (PCs) and mobile devices such as tablets and smartphones. User interfaces must consider various use environments to realize high quality and user-friendly applications. However, user interfaces have to be created for each platform which is costly work for developers. To reduce the burden on developers, this research aims to realize support for user interface development adaptive to the use environment. Concretely, we build user interfaces based on a model that references UsiXML, which is a model-driven user interface development method.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133399704","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":"Detection of Random Correction from Source Code Snapshots","authors":"Yuki Ohno, H. Uwano, S. Uchida","doi":"10.1145/3316615.3316621","DOIUrl":"https://doi.org/10.1145/3316615.3316621","url":null,"abstract":"Classifying student's situation helps teachers to improve educational effect. In this paper, authors propose two metrics to classify the student's \"random correction.\" Random Correction is an action that source code correction without understanding the exercise contents. We select a programming course with Online Judge System as a target, then analyze the characteristics of random correction from recorded snapshots. The result of the experiment showed that students who cannot reach perfect score have high value of both metrics; 1) a degree of imbalance corrections between source code lines, 2) the number of submitted revisions.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709261","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":"An Artificial Cell Simulator based on Artificial Chemistry","authors":"Chien-Le Goh, H. Ewe, Y. K. Goh","doi":"10.1145/3316615.3316617","DOIUrl":"https://doi.org/10.1145/3316615.3316617","url":null,"abstract":"A cell is a basic building block of living beings. The knowledge about how a cell functions can be a very good source of inspiration for computer science to explore the origin of intelligence and rational behaviours. In this paper, we propose a simulator which supports artificial cell simulation based on artificial chemistry. The simulator can be used to investigate how artificial molecules and artificial reactions can be designed to enable cells to solve problems.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117001481","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}
Nor’asnilawati Salleh, S. Yuhaniz, Nurulhuda Firdaus Mohd Azmi, S. F. Sabri
{"title":"Enhancing Simplified General Perturbations-4 Model for Orbit Propagation Using Deep Learning: A Review","authors":"Nor’asnilawati Salleh, S. Yuhaniz, Nurulhuda Firdaus Mohd Azmi, S. F. Sabri","doi":"10.1145/3316615.3316675","DOIUrl":"https://doi.org/10.1145/3316615.3316675","url":null,"abstract":"This paper studies the method used in orbit propagation in order to enhance the Simplified General Perturbations-4 (SGP4) model which is the common orbit propagation model used by the satellite operator. The orbit propagation is used to determine and predict the position and velocity of a satellite. The capability of making an accurate orbital prediction is important to ensure satellite operation planning will not be disrupted and prevent any disrupted collisions or disasters. However, the accuracy of the SGP4 model is decreased once the propagation horizon increased. Therefore, a study is done to identify a technique that can be applied to enhance the SGP4 model. The model needs to be improved in term of minimizing the error and increase the accuracy even though the propagation span is increased. The method used in this study is by comparing the techniques that have been used by other researchers for the orbit propagation model. From the review that has been done, a deep learning technique is found to be a suitable technique. It also produces an accurate model for time series data. The new framework of the SGP4 model is expected and able to become a reliable predictor model. In the future, the study will further analyze by using simulation tools and real-time data. The accuracy and effectiveness of the improved model will be evaluated and the results will be compared with actual observations.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129595511","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":"Algorithms of Classification of Mass Problems of Production Subject Domains","authors":"E. Malakhov, Denys Shchelkonogov, V. Mezhuyev","doi":"10.1145/3316615.3316676","DOIUrl":"https://doi.org/10.1145/3316615.3316676","url":null,"abstract":"This paper develops the algorithms for classification of mass problems of production subject domains. The criteria of the efficiency of control of productions subject domains are introduced. The classes of mass problems, trees of the states of production subject domains and operations on them are introduced.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132273183","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}
Hussein Hazimeh, Mohammad Harissa, E. Mugellini, Omar Abou Khaled
{"title":"Temporal Sentiment Tracking and Analysis on Large-scale Social Events","authors":"Hussein Hazimeh, Mohammad Harissa, E. Mugellini, Omar Abou Khaled","doi":"10.1145/3316615.3316646","DOIUrl":"https://doi.org/10.1145/3316615.3316646","url":null,"abstract":"Online Social Networks (OSNs) are emergent resources for largescale multi-purpose data analytics. Sentiment analysis (SA) is a trending research area on OSNs. SA approaches for studying and analyzing events are still missing several shortcomings. Unlike other approaches that analyzed micro-scaled events such as \"marriage\", \"graduation\", we analyzed the sentiment of large-scale social events such as \"festivals\". In this paper, we address the problem of finding the sentiment of large-scale social events and introduce a novel method for this goal. To address this problem, we utilize a lexical approach. The features used in our method are universal and composed of auxiliary and essential features from OSNs. Auxiliary features are non-textual features used to emphasize the sentiment polarity. Moreover, we track the temporal interchanges of audience sentiment on OSNs.We finally empirically validate that our method can outperform with high precision and recall values.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126417436","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}