{"title":"Design and Simulation of Satellite Network's CCSDS Protocol","authors":"Feng Liu, Jingjia Qi, Zhifeng Huang, Jia Guo","doi":"10.1145/3209914.3226162","DOIUrl":"https://doi.org/10.1145/3209914.3226162","url":null,"abstract":"With the increasing demand for data communication services, the single satellite working mode cannot meet the needs of increasingly robust communication services. Therefore, providing multiple satellite networks for data communication services has become a trend of future communications, and the satellite communication environment has a network Topology dynamic changes, intermittent link interruption, delay and other characteristics, resulting in terrestrial Internet protocol cannot be used in space communications, this selection of CCSDS for SPP and AOS protocol for space communication protocol software simulation to test This protocol stack is used for the feasibility and performance of satellite network communications. The main contents of this paper include satellite network scene modeling, intra-network node process modeling and protocol modeling, as well as testing the retransmission mechanism and priority functions, as well as bandwidth utilization and throughput.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"53 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120886598","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}
V. Torchinskii, O. Logunova, N. Sibileva, P. Romanov
{"title":"Genetic algorithm modification: addition of the population improvement stage","authors":"V. Torchinskii, O. Logunova, N. Sibileva, P. Romanov","doi":"10.1145/3209914.3209928","DOIUrl":"https://doi.org/10.1145/3209914.3209928","url":null,"abstract":"The genetic modification of the algorithm is based on the introduction of a new stage consisting in improving the individual by inversion of the bit vector and eliminating the mutation stage. A necessary attribute of the improvement of the individual is the exceeding of the measure of the Hamming distance between the selected individuals by more than n/2, where n is the Hamming distance, which in the bit representation is the same as the number of genes in the individual. In this case, the \"worse\" the \"non-ideal\" individual is, the \"better\" it becomes after the inversion. Partially, this is compensated by the elimination of the mutation stage, and the overall effect in speed is achieved due to increasing the rate of convergence. The proposed improvements to the classical genetic algorithm allow increasing the convergence rate by 25-35% and the algorithm speed by 15-25%.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"381 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131785741","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":"Data Managing and Service Exchanging on IoT Service Platform Based on Blockchain with Smart Contract and Spatial Data Processing","authors":"Bo Youn Kim, S. Choi, J. Jang","doi":"10.1145/3209914.3209916","DOIUrl":"https://doi.org/10.1145/3209914.3209916","url":null,"abstract":"Expectation of cryptocurrencies has been increased rapidly and all of these cryptocurrencies are generated on blockchain platform. This means not only the paradigm is changing in the field of finance but also the blockchain platform is technically stable. Based on the stability of blockchain, many kind of crypto currencies or application platforms are being implemented or released and world famous banks are applying blockchain on their financial service[1]. Even law for exchanging cryptocurrencies is being discussed. Furthermore, blockchain platforms also run programmed source code which is called as smart contract on its distributed platform. Smart contract extends usage of blockchain platform. So in this paper, we propose an algorithm for recording and managing location data of IoT service provider and user based on blockchain with smart contract. Our proposal records data of participants in network by blockchain which ensures security and match with other optimized participant by spatial data processing.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127956751","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":"Adaptive Bit-rate Video Streaming on Named Data Networking with Active Throughput Estimation","authors":"Kanin Poobai, S. Awiphan, J. Katto","doi":"10.1145/3209914.3209929","DOIUrl":"https://doi.org/10.1145/3209914.3209929","url":null,"abstract":"Named Data Networking (NDN) has been recently introduced as a new future network architecture. The end-to-end throughput estimation for adaptive bit-rate video streaming on NDN is one of the most challenging topics. Specifically, the end-to-end throughput estimation on NDN appears to be unreliable, since the provider of content is unknown to the consumer. Moreover, partial caching on NDN router's Content Store could temporarily lead to packet loss due to throughput overestimation. In this paper, we present an active Interest adaptation scheme which operates by proactively estimating the throughput in a hop-by-hop fashion. The consumer node is then assisted with the most recent available end-to-end bandwidth. Therefore, the video player can promptly adapt to the change of network condition. The implementation evaluation using NDN-JS and DASH-JS on the setup network demonstrate that our proposed solution provides better average stream bit-rate and consumes less network bandwidth than the traditional system.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128133333","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":"Study on Recommend Model of Online Shopping for Music and Dance majors under the Background of Big Data","authors":"Mi Zou","doi":"10.1145/3209914.3226157","DOIUrl":"https://doi.org/10.1145/3209914.3226157","url":null,"abstract":"With the rapid development of Internet technology and e-commerce, online shopping has become the main mode of consumption nowadays. Music and dance majors have become the main group of online shopping because of their particularity. Based on the theory of big data and Bayesian networks, this paper collects data of college students' online shopping apparel by means of questionnaire survey and builds the style recommendation model and the clothing's main color recommendation model of online shopping.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"36 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129395131","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":"Rice Pest and Disease Detection Using Convolutional Neural Network","authors":"E. Mique, T. Palaoag","doi":"10.1145/3209914.3209945","DOIUrl":"https://doi.org/10.1145/3209914.3209945","url":null,"abstract":"Detection of rice pest and diseases, and proper management and control of pest infested rice fields may result to a higher rice crop production. According to the International Rice Research Institute, farmers lose an average of 37% of their rice crops due to pest and diseases, yearly. Using modern technologies, like smart phones, farmers can be aided in detecting and identifying the type of pests and diseases found in their rice fields. This study proposed an application that will help farmers in detecting rice insect pests and diseases using Convolutional Neural Network(CNN) and image processing. It looked into the different pests that attack rice fields; information on how they can be controlled and managed was considered; farmers' knowledge in different rice pests and diseases, and how they control these pests was regarded in this study; the study also looked into the reporting mechanism of farmers to government agencies. Using CNN and image processing, the application that detects rice pests and diseases was developed. The searching and comparison of captured images to a stack of rice pest images was implemented using a model based on CNN. Collected images were pre-processed and were used in training the model. The model was able to achieve a final training accuracy of 90.9 percent. Cross-entropy was low, which implies that the trained model can perform prediction or can classify images with low percentage of error. Through the developed application, farmers were provided with information and procedures on how to control and manage rice pest infestation. Future researchers may look into multiple pest comparison to a stack of images for faster retrieval of information.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126170815","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}