Proceedings of the 3rd International Conference on Applications in Information Technology最新文献_第3页

Development of a Containerized System to Build Geometric Models and Perform Their Strength Analysis 集装箱系统的发展，以建立几何模型和执行他们的强度分析

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274887

O. Iakushkin, A. Kondratiuk, A. Eremin, O. Sedova

引用次数: 3

Optimization of Taxi Request Order Coordination using Monte-Carlo Method 基于蒙特卡罗方法的出租车订单协调优化

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274889

A. Kirilyuk, I. Trofimova

引用次数: 0

Exponential Innovation through Digital Transformation 通过数字化转型实现指数创新

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274858

Vlatko Davidovski

引用次数: 14

2-tier vs. 3-tier Architectures for Data Processing Software 数据处理软件的两层与三层架构

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274869

Dmitriy Dorofeev, S. Shestakov

引用次数: 2

Designing application-dependent tools for modeling and simulation on basis of universal modeling environment 在通用建模环境的基础上，设计与应用相关的建模仿真工具

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274861

Ekaterina B. Grigut, Ivan Kiriyakov, Y. Senichenkov

引用次数: 1

Grammatical Error Checker for Japanese Learners of English 日本英语学习者语法错误检查

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274885

J. Blake, Junko Inoue, Takumi Kondo

引用次数: 0

Generating Crack Patterns on Planar Geometry by L-system 用l -系统生成平面几何裂纹图形

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274868

Megumi Takato, Y. Nishidate

引用次数: 0

Optimal IMF Selection of EMD for Sleep Disorder Diagnosis using EEG Signals 基于EEG信号的EMD睡眠障碍诊断的最优IMF选择

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274876

Md. Rashedul Islam, M. Rahim, Hafeza Akter, Raihan Kabir, Jungpil Shin

{"title":"Optimal IMF Selection of EMD for Sleep Disorder Diagnosis using EEG Signals","authors":"Md. Rashedul Islam, M. Rahim, Hafeza Akter, Raihan Kabir, Jungpil Shin","doi":"10.1145/3274856.3274876","DOIUrl":"https://doi.org/10.1145/3274856.3274876","url":null,"abstract":"Sleep disorders has a vital effect on mental depression and many other diseases of human body. Diagnosing the sleep disorder in an early curable stage may help to provide better treatment and save the life. The EEG (Electroencephalogram) signal is one of the most uses bio signal for capturing brain activities to detect and diagnosis the sleep disorders. Empirical mode decomposition (EMD) is an efficient time-frequency data analysis technique for diagnosing disease by analyzing EEG signal. However, it is a challenging issue to select the optimal intrinsic mode functions (IMFs) of Empirical mode decomposition (EMD) for extracting discriminant properties of EEG signals to diagnosis the sleep disorder. From this point of view, this paper presents a model to select optimal IMF of EMD for diagnosing the sleep disorder using EEG brain signal. In this proposed model, EMD is applied to decompose and analyze EEG signal for extracting biomarker/feature of sleep disorders. During the EMD decomposition process, different levels of IMF are extracted and features, i.e., Shannon Entropy, Spectral Entropy, Standard deviation, Skewness and Kurtosis are calculated from those IMFs for detecting the sleep disorders. In identification process, the multiclass support vector machine (MC-SVM) classification algorithm is used and sleep disorders are classified based on trained knowledge. Finally, the performance of proposed model is evaluated for different IMFs of EMD and find the optimal IMF for sleep disorder diagnosis. For evaluating the proposed model, a benchmark dataset including 4 types of data such as Apnea, REM, PLM and healthy subjects are used in experiment. According to the experimental result, the proposed model achieves the optimal classification performance for IMF 8, i.e., 93.24% average classification accuracy.","PeriodicalId":373840,"journal":{"name":"Proceedings of the 3rd International Conference on Applications in Information Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125814119","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: 13

Topic Modeling of Conflict Ad Hoc Discussions in Social Networks 社会网络中冲突特设讨论的主题建模

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274881

I. Blekanov, N. Tarasov, Alexey Maksimov

引用次数: 5

Design and Implementation of a CSV Validation System 一个CSV验证系统的设计与实现

Proceedings of the 3rd International Conference on Applications in Information Technology Pub Date : 2018-11-01 DOI: 10.1145/3274856.3274879

Abdulrazaq Abba, Mohammed A. Hassan

{"title":"Design and Implementation of a CSV Validation System","authors":"Abdulrazaq Abba, Mohammed A. Hassan","doi":"10.1145/3274856.3274879","DOIUrl":"https://doi.org/10.1145/3274856.3274879","url":null,"abstract":"The need for error checking is essential in our daily activities, as the saying goes \"to err is human\". This issue becomes problematic when it involves hidden errors. Depending on the hidden errors, in critical systems this can lead to a tragedy or disaster. There are two possible solutions, either preventing the error or detecting and correcting the error. In the case of file system detection and correction is more effective. In this work we consider the later case of error detection and correction, here we develop a scalable tabular technique for detecting errors in a file system. We apply the technique on a CSV file system with developing an application. The application detects and corrects errors in a CSV file. Scalability is one of the strength that differentiate this work from other related work. This scalability of the application provides an easy way for expanding the scope of possible errors that can be detected and corrected. The work contributes in illustrating a technique that improves confidence in the well-known legacy file CSV. This is very important considering the role of CSV file in transmission and processing of data, especially in data migration. The result of this work indicates a promising scalable approach for error detection and correction on a file system like CSV file.","PeriodicalId":373840,"journal":{"name":"Proceedings of the 3rd International Conference on Applications in Information Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130377477","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: 5