Proceedings of the 1st International Conference on Information Science and Systems最新文献_第3页

Metamodel for The Development of Geometrical Modelling Languages 几何建模语言发展的元模型

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3209926

V. Mezhuyev, V. Lavrik, R. Samikannu, Y. Gunchenko

引用次数: 1

Learning Convolutional Neural Network Using Data from Other Domains in case of Insufficient Data 在数据不足的情况下，利用其他领域的数据学习卷积神经网络

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3209927

Jeonghyo Ha, Jung Eun, Pyunghwan Ahn, Dong-Hoon Shin, Junmo Kim

{"title":"Learning Convolutional Neural Network Using Data from Other Domains in case of Insufficient Data","authors":"Jeonghyo Ha, Jung Eun, Pyunghwan Ahn, Dong-Hoon Shin, Junmo Kim","doi":"10.1145/3209914.3209927","DOIUrl":"https://doi.org/10.1145/3209914.3209927","url":null,"abstract":"In this paper, we describe a training methodology of convolutional neural networks(CNNs) using data from a different domain when the number of training data in the test domain is small. Training a CNN for classification without enough data might lead to serious problems of overfitting and thus fail to generalize. In this case, if large data of the same object categories is available in another domain, this problem can be alleviated. We propose a method to train a CNN with small data in the test domain and large data in another. Since training a single network using data from different domains could lead to performance degradation, we consider this problem as cross-domain image similarity learning. In our experiment, we train a Siamese network to compute similarity between a pair of images from different domains, which are natural photos and 3D model projections. We design the network to output the probability that the input image pair belongs to the same category. Thus, the network can calculate similarity between the input pair and also classify a natural photo by comparing it with each images in the 3D model database. Since the network output represents similarity, we can greatly reduce testing time for classification compared to other methods (such as NN classification) in which distances between feature vectors must be calculated for every pair of images.","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":"126456896","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: 3

Network-based VM Migration Architecture in Edge Computing 边缘计算中基于网络的虚拟机迁移架构

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3209930

Kyoungjae Sun, Younghan Kim

引用次数: 4

Predicting Basketball Results Using Cascading Algorithm 用级联算法预测篮球比赛结果

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3209921

Jasmin A. Caliwag, M. C. Aragon, Reynaldo E. Castillo, Ellizer Mikko S. Colantes

{"title":"Predicting Basketball Results Using Cascading Algorithm","authors":"Jasmin A. Caliwag, M. C. Aragon, Reynaldo E. Castillo, Ellizer Mikko S. Colantes","doi":"10.1145/3209914.3209921","DOIUrl":"https://doi.org/10.1145/3209914.3209921","url":null,"abstract":"Anybody can guess the winners of a basket game. The question is how big the chances are in predicting the real winners. Relying only on the experts' experiences and intuition could not discover all the value and potential of the collected data. Driven by the increasing comprehensive data in sports datasets and data mining technique successfully used in different areas, sports data mining technique emerges and enables us to find hidden knowledge to impact the sports industry. A more scientific approach is needed to use for these data that are collected. Some predictors based only on winning records and some based only on statistical records of both teams. There are also predictors which use both types of data, but the accuracy of applying different individual algorithms is only ranging about 60% - 70%. To achieve better prediction rates and deal with that complexity, a lot of machine learning methods have been implemented over these data. This paper presents an improved technique for predicting basketball game results implementing cascading algorithm. The researchers combined Naive Bayes, Four Factor Analysis, and Fuzzy Logic Algorithms to predict basketball game result in an acceptable level of 69% - 70% accuracy. The researchers tested several times using data sets from NBA game Season 2015-2016, and the cascading algorithm result manages to reach 70% prediction accuracy. The result of this system can be used to assist basketball coaches in making plans for possible team developments. Also, the forecasted results can serve as an aid in building effective gameplay.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"29 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":"122393562","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: 15

Research on Key Data Structure Localization Technology of Buffer Overflow Vulnerability 缓冲区溢出漏洞关键数据结构定位技术研究

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3226150

Hui Guo, Shuguang Huang, Zulie Pan, Jianliang Hu, Minghong Hu

引用次数: 2

Multi-target Tracking Based on Motion Estimation and RJ-MCMC Particle Filter 基于运动估计和RJ-MCMC粒子滤波的多目标跟踪

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3209949

Zhiqian Weng, J. Yang, Qingnian Zhang, Zhiqiang Guo

引用次数: 1

A Study on the Application of Cloud Computing Platform in Hospital Information Construction 云计算平台在医院信息化建设中的应用研究

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3234642

Cheng-Yao Chang, Y. Zhu

引用次数: 1

A Review on Iris Recognition in Non-Cooperative Environment 非合作环境下虹膜识别研究进展

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3209925

Nurul Amirah Mashudi, Md. Jan Nordin

引用次数: 6

Reuse of Public Data and Information Property and Building of Knowledge Society 公共数据与信息产权的再利用与知识社会的建设

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3226156

X. Zhang, Deling Yang

{"title":"Reuse of Public Data and Information Property and Building of Knowledge Society","authors":"X. Zhang, Deling Yang","doi":"10.1145/3209914.3226156","DOIUrl":"https://doi.org/10.1145/3209914.3226156","url":null,"abstract":"This paper aims to gradually transform the network public data information into a new social public property and to build a future knowledge society through the development of semantic web. In the context that nowadays the network public data information is being transformed into the common property of the whole society, it is of great significance for to building a technical framework for the generation, publication, aggregation, dissemination and reuse of public data by means of the semantic web and data opening, which lays the digital ecological foundation for the economic development of future knowledge society. The core innovation of this research is building up the framework of public property management through public data reuse with semantic web and data opening as the technical basis by taking the data opening policy and measures in France as an example. Open data services enable collaborative innovation and \"win-win\" mode for public institutions, private enterprises and individuals, encourage young people to lead innovation management and development, and gradually transform the economic model of France and Europe from \"scarcity\" to \"post-scarcity\". Compared with previous researches, the innovative part of the paper is the study of the reuse of public data and information property of France, encouraging the role of \"sharing\" in promoting the \"post-scarcity\" economic model, and building the future development model of knowledge society for France and Europe. By studying the relevant policies and measures of public data reuse implemented by France and by analyzing the effect, this paper proves that the reuse of public data and information property plays an important role in the construction of knowledge society.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"35 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":"126765299","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

Security and Device Control Method for Fog Computer using Blockchain 基于区块链的雾机安全与设备控制方法

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI: 10.1145/3209914.3209917

Junhyeon Jeong, Bo Youn Kim, J. Jang

{"title":"Security and Device Control Method for Fog Computer using Blockchain","authors":"Junhyeon Jeong, Bo Youn Kim, J. Jang","doi":"10.1145/3209914.3209917","DOIUrl":"https://doi.org/10.1145/3209914.3209917","url":null,"abstract":"Fog computing has emerged due to the problem that it becomes difficult to store every data to the cloud system as the number of Internet of Things increases. In this fog computing, a vast amount of data generated from the Internet of Things is transmitted to the cloud system located at a remote place, and is processed by a fog computer such as a sensor or a router located nearby, so that only the necessary data is transmitted to the cloud system. However, the above-mentioned fog computer has some drawbacks like being shut down due to an attack by a malicious user in advance, and a method of processing when a fog computer is down or restored. In this paper we describe a fog computing with blockchain that enables fog computers to share transaction generated by processing transaction information of a device controlled by a blockchain method to a security and device control method of a fog computer utilizing the technology. Furthemore by using security properties of blockchain such as authentication, non-repudiation and data integrity, fog computing using blockchain has advantage of security comparing to previous Cloud and fog computing system using centralized database or P2P networks.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"35 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":"124759550","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: 9