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2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)最新文献

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ICIS 2018 Index
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/icis.2018.8466536
{"title":"ICIS 2018 Index","authors":"","doi":"10.1109/icis.2018.8466536","DOIUrl":"https://doi.org/10.1109/icis.2018.8466536","url":null,"abstract":"","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123063144","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
Speech Recognition of Confusable Word Based on Ideal Distance Matrix 基于理想距离矩阵的易混淆词语音识别
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466413
Qiang Gao, Shutao Sun
{"title":"Speech Recognition of Confusable Word Based on Ideal Distance Matrix","authors":"Qiang Gao, Shutao Sun","doi":"10.1109/ICIS.2018.8466413","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466413","url":null,"abstract":"In order to improve the recognition efficiency of classical DTW algorithm in speech recognition of confusable word, a new method for recognition of confusable word is proposed in this paper. The distance between the measured speech and the template speech is calculated by the general distance matrix and the ideal state distance matrix. The Offset-Loss is introduced and it is used to evaluate the similarity between the measured speech and the template speech. The experimental results show that it improves the matching speed and the accuracy of the improved algorithm is almost the same as the classical DTW algorithm.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123068171","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: 1
ICIS 2018 Title Page ICIS 2018标题页
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/icis.2018.8466441
{"title":"ICIS 2018 Title Page","authors":"","doi":"10.1109/icis.2018.8466441","DOIUrl":"https://doi.org/10.1109/icis.2018.8466441","url":null,"abstract":"","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126258656","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
Parametric Representation of Voiced Speech Phoneme using Multicomponent AM Signal Model 基于多分量调幅信号模型的浊音音素参数表示
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466519
M. Bansal, P. Sircar
{"title":"Parametric Representation of Voiced Speech Phoneme using Multicomponent AM Signal Model","authors":"M. Bansal, P. Sircar","doi":"10.1109/ICIS.2018.8466519","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466519","url":null,"abstract":"In this paper, the amplitude modulated (AM) sinusoidal signal model is used for parametric modelling of speech signal. The multicomponent AM sinusoidal signal model is found to be well suited for voiced speech phonemes. The Fourier-Bessel (FB) expansion is used to separate individual components of a multicomponent signal. Parameter estimation of the AM sinusoidal signal model is presented in detail. The cyclo-stationary analysis is used for frequency estimation of the AM sinusoidal signal with high accuracy under noisy signal condition. The symmetric Itakura-Saito (IS-COSH) distance measure is used for comparison of original and reconstructed signals.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"34 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120913023","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: 8
Fake Accounts Detection on Twitter Using Blacklist 利用黑名单检测Twitter虚假账户
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466499
M. Swe, Nyein Nyein Myo
{"title":"Fake Accounts Detection on Twitter Using Blacklist","authors":"M. Swe, Nyein Nyein Myo","doi":"10.1109/ICIS.2018.8466499","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466499","url":null,"abstract":"Social networking sites such as Twitter, Facebook, Weibo etc. are extremely mainstream today. Also, the greater part of the malicious users utilize these sites to persuade legitimate users for different purposes, for example, to promote their products item, to enter their spam links, to stigmatize other persons and so forth. An ever increasing number of users are utilized these social networking sites and fake accounts on these destinations are turned into a major issue. In this paper, fake accounts are detected using blacklist instead of traditional spam words list. Blacklist is created by using topic modeling approach and keyword extraction approach. We conduct an evaluation experiment with not only 1KS - 10KN dataset but also Social Honeypot dataset. The accuracy of the traditional spam words list based approach and our blacklist based approach are compared. Decorate, a meta-learner classifier is applied for classifying fake accounts on Twitter from legitimate accounts. Our approach achieves 95.4% accuracy and true positive rate is 0.95.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121643441","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: 17
Quality Inspection of Size, Shape and Arrangement of Sweet Corn Seeds by Image Processing 用图像处理技术检测甜玉米种子的大小、形状和排列
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466509
Monlica Wattana, Thichakorn Phonarin, Ubon Ketnork
{"title":"Quality Inspection of Size, Shape and Arrangement of Sweet Corn Seeds by Image Processing","authors":"Monlica Wattana, Thichakorn Phonarin, Ubon Ketnork","doi":"10.1109/ICIS.2018.8466509","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466509","url":null,"abstract":"This article proposes the techniques for inspecting the quality of sweet corn using image processing. The size, shape and arrangement of sweet corn kernels were considered in quality inspection. The measurement of the size of sweet corn was done by measuring the distance between the two endpoints of the sweet corn image. The shape of the sweet corn was examined by the symmetry of the sweet corn. In order to determine the arrangement of the kernels, the edges of the image were figured out by Laplacian of Gaussian which was then used to calculate the uniformity of the distance between lines. The experimental results showed that, the size of sweet corn, the average error was 0.18 cm and the shape and the symmetry of corn cob and the arrangement of the corn kernels were correct.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"64 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113961047","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: 1
An Evaluation Algorithm for the Complexity of Distributed 3D Rendering 一种分布式三维渲染复杂度评估算法
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466529
Jiyu Mao, Shuang Feng
{"title":"An Evaluation Algorithm for the Complexity of Distributed 3D Rendering","authors":"Jiyu Mao, Shuang Feng","doi":"10.1109/ICIS.2018.8466529","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466529","url":null,"abstract":"In order to solve the problem of the consuming resources of animation, the idea of distributed rendering is proposed. This paper from the stand of the distributed rendering, emphasized the importance of the evaluation of rendering task’s complexity quantitative through the analysis of the distributed rendering system architecture. In this paper, we proved three factors include the visual number of Triangular face, the pixel of the output image and the complexity of the object motion in the scene have important impact on the rendering time by analyzing the results of experiment. At the same time, a method based on the above three factors is proposed to evaluate the complexity of rendering task. The algorithm proposed is helpful for the optimal dynamic task assignment scheme and the construction of distributed system architecture.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128149343","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: 1
Identifying Flood Prone Regions in Bangladesh by Clustering 通过聚类识别孟加拉国洪水易发地区
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466533
Kazi Kowshin Raihana, Syed Mosahid Khurshid Rishad, T. Sadia, Sarfaraz Ahmed, M. S. Alam, R. Rahman
{"title":"Identifying Flood Prone Regions in Bangladesh by Clustering","authors":"Kazi Kowshin Raihana, Syed Mosahid Khurshid Rishad, T. Sadia, Sarfaraz Ahmed, M. S. Alam, R. Rahman","doi":"10.1109/ICIS.2018.8466533","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466533","url":null,"abstract":"Bangladesh suffers more for being susceptible to flood driven loses than relishing the natural advantages of being a riverine country. It is crucial for flood management department to identify the severity of flood and the factors behind it. Though three main contributors to flood occurrences are the Brahmaputra, Ganges and Meghna river basins, there are several factors such as rainfall, location, elevation and many more that also has prominent influences in causing flood in different regions of Bangladesh. This paper intends to identify the flood condition of different regions of Bangladesh by implementing different clustering techniques such as K-means, Expectation Maximization and Agglomerative Hierarchical clustering algorithm. This paper aims not only to analyze the factors that lead to flood condition but also observe the effectiveness of applying the chosen clustering methods for further analysis.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134140597","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: 2
People Counting System with C-Deep Feature in Dense Crowd Views 稠密人群视图中具有C-Deep特征的计数系统
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466440
Htet Htet Lin, K. Win
{"title":"People Counting System with C-Deep Feature in Dense Crowd Views","authors":"Htet Htet Lin, K. Win","doi":"10.1109/ICIS.2018.8466440","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466440","url":null,"abstract":"People counting in a crowded scene is an urgent and vital task of monitoring the surveillance systems. Accrual guesses of a dense crowd views are effected from a different illuminations and inter-class variations, so comes to be a complicated issue and still remains as an active research area. To tackle this fact, this paper establishes an effective people counting framework in dense crowd views that automatically appraisals the accurate number of people. In this paper, a new intuition Color Deep system which utilizes based on the color-based feature and convolutional neural network (CNN)-based feature is proposed for detecting and estimating the people numbers. Unlike the other, this paper proposes C-Deep feature by contributing the color transformation matrix and segmentation. Firstly, the color transformation matrix is introduced and then C-Deep features is calculated by using the Deep CNN with color feature matrix to handle the occlusion, inter-class variations and density levels. Calculation experiments on the challenging public crowd counting dataset achieve the lowest miss rate than state-of-the-art results. This shows the effectiveness of the proposed framework.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115696963","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: 1
Smart Self Position Aligning Chair for a Modern Conference Room 用于现代会议室的智能自定位椅
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI: 10.1109/ICIS.2018.8466430
Fahim Anzum, Fahim Ahmed, M. Azim, Mosaddek Hossain, S. Zaman, Farhan Hasib, Sazid Al Ahsan
{"title":"Smart Self Position Aligning Chair for a Modern Conference Room","authors":"Fahim Anzum, Fahim Ahmed, M. Azim, Mosaddek Hossain, S. Zaman, Farhan Hasib, Sazid Al Ahsan","doi":"10.1109/ICIS.2018.8466430","DOIUrl":"https://doi.org/10.1109/ICIS.2018.8466430","url":null,"abstract":"We are surrounded by the blessings of modern technologies and smart systems that facilitate our everyday lives by getting us interacted with the advanced computing systems, automation, artificial intelligence and so on. The world has seen an outburst of smart devices in the last decade. To keep a significant contribution to the modern technological use, our proposed model adds to the growing need of smart systems. In this paper, a design of self-position aligning chair incorporated with the features of self-parking autonomous robot has been proposed. It reduces both human efforts and time consumption in the process of furnishing and decorating a conference room. Experimental results showed that the proposed model is more cost effective and affordable than the likely systems available till date. This work modernizes our lifestyles by reducing human efforts, saving time and also by maintaining more decorative working places.","PeriodicalId":447019,"journal":{"name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115479739","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: 2
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