2017 Twelfth International Conference on Digital Information Management (ICDIM)最新文献_第5页

Analysis based on Japanese accented English characteristics categories for objective evaluation 基于对日本口音英语特征分类的分析进行客观评价

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244693

H. Tsubaki

{"title":"Analysis based on Japanese accented English characteristics categories for objective evaluation","authors":"H. Tsubaki","doi":"10.1109/ICDIM.2017.8244693","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244693","url":null,"abstract":"Aiming at objective evaluation of L2 (second language) learners' proficiency, mispronunciation characteristics of Japanese learners' English speech were analyzed based on phonetic knowledge. Through automatic forced alignment using a speech recognition tool kit, phone deletion, substitution and insertion were detected by substituting the pronunciation dictionary reflecting learners' phonetic error characteristics. For phonetic knowledge, typical mispronunciations, vowel insertion, vowel substitution and consonant omission and substitution were taken into account. These mispronunciation-pattern statistics were analyzed using correlation and segmented linear regression analysis method. The statistics showed consistent error characteristics along the learners' subjective evaluation scores and correlation relationship to the evaluation scores. Break points from the segmented linear regression analysis illustrated difference in the mispronunciations between vowel and consonant. Differential between the obtained break point and each learner's score in the subjective evaluation scores was thought as measurement of the learner's mispronunciation correctness and non-correctness. The correlation value of 0.511 was obtained between actual and estimated differential value by a multiple linear regression analysis, using the mispronunciation statistics as parameters.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130439608","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

An improved algorithm for transmission in heterogeneous cellular networks 异构蜂窝网络中一种改进的传输算法

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244692

Yao-Liang Chung

{"title":"An improved algorithm for transmission in heterogeneous cellular networks","authors":"Yao-Liang Chung","doi":"10.1109/ICDIM.2017.8244692","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244692","url":null,"abstract":"This paper presents improvements to a coverage algorithm that we previously proposed for use in heterogeneous cellular networks, with the improved algorithm being referred to as the modified coverage algorithm. The modified coverage algorithm maintains the coverage advantages provided by the previous coverage algorithm; that is, users can be covered by the network in any scenario and unnecessary power consumption can be avoided through the use of the algorithm. The modified coverage algorithm also mitigates the sole disadvantage of the previous coverage algorithm, that is, its inability to meet users' transmission rate requirements, instead ensuring that the respective transmission rate requirements of all users can be typically met. According to the simulation results, compared with the previous coverage algorithm, the modified coverage algorithm improves the average transmission rate significantly (especially when the traffic volume is low) at the small expense of a slightly increased outage ratio under high traffic volumes; however, based on our design, the users who face an increase in the outage ratio are of lower priority. As a result, the system's overall performance is at an acceptable level.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133157108","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

Classification of computer viruses from binary code using ensemble classifier and recursive feature elimination 基于集成分类器和递归特征消去的计算机病毒二进制码分类

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244670

Prasit Usaphapanus, K. Piromsopa

引用次数: 2

National servey of Japanese universities on computing education: Analysis of IT education for high school teacher license on IT 日本大学计算机教育的国家服务:对高中教师IT教育的分析

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244669

K. Sumi, T. Kakeshita

引用次数: 0

Identification of opinion leader on rumor spreading in online social network Twitter using edge weighting and centrality measure weighting 利用边缘加权和中心性度量加权识别社交网络Twitter谣言传播的意见领袖

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244680

Fatia Kusuma Dewi, S. Yudhoatmojo, I. Budi

{"title":"Identification of opinion leader on rumor spreading in online social network Twitter using edge weighting and centrality measure weighting","authors":"Fatia Kusuma Dewi, S. Yudhoatmojo, I. Budi","doi":"10.1109/ICDIM.2017.8244680","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244680","url":null,"abstract":"Rumor spreading has been an essential issue for society. One of the platforms for rumor spreading is Twitter. Finding the opinion leader of its issue is also important in order to know who are users whom have a high impact of bringing the issue. So we can give the suggestion to the law authority to give the right authorization afterward. Opinion leader can be found using centrality measure metric on social network analysis study. This study has node and edge as its property. For recent years, there are many conducted researches about centrality measure. Some of them are combining some centrality measures together. Aside from defining the centrality measure, defining the edge is also important. Twitter has a different kind of relationships that can be turned into an edge, but not all the relationships have the same impact for spreading the rumor. This study conduct two experiments, first experiment is edge weighting. This experiment is aimed to see the importance of each defined edge type for finding the opinion leader. The second experiment is centrality weighting. This experiment is aimed to see the weight that could give more accurate opinion leader based on other evaluation algorithms. The study found the edge that has the ability to spread to wider audience (quote, retweet, and reply) tend to have a bigger impact for finding opinion leader than mention relationship. The study also finds that a low in-degree weight, high betweenness weight, and low or no PageRank weight could give 100% agreement upon other evaluation algorithms for finding the opinion leader.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126944657","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

A dynamic identity end-to-end authentication key exchange protocol for IoT environments 面向物联网环境的动态身份端到端认证密钥交换协议

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244673

Chien-Lung Hsu, Tzu-Hsien Chuang, Yu-Han Chen, Tzu-Wei Lin, Huang-Chia Lu

引用次数: 3

SCTP-based service migration for VOD service 基于sctp的VOD业务迁移

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244688

Chin-Shiuh Shieh, Hao-Xiang Gu, J. Yan, M. Horng

引用次数: 2

On cleaning and organizing context logs for mobile user profiling 关于清理和组织移动用户分析的上下文日志

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244687

Ming-Yi Zheng, Hung-Yuan Chen, Huan Chen, Yao-Chung Fan

引用次数: 3

Syntactic role identification of mathematical expressions 数学表达式的句法角色识别

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244676

Xing Wang, Jason Lin, Ryan Vrecenar, Jyh-Charn S. Liu

{"title":"Syntactic role identification of mathematical expressions","authors":"Xing Wang, Jason Lin, Ryan Vrecenar, Jyh-Charn S. Liu","doi":"10.1109/ICDIM.2017.8244676","DOIUrl":"https://doi.org/10.1109/ICDIM.2017.8244676","url":null,"abstract":"This paper presents a prediction algorithm to infer the syntactic role (SR) of mathematical expressions (ME), or SRme, in ME-plaintext mixed sentences. SRme is a predicted syntax label of ME, which could be integrated into any constituent parser to improve their accuracy in sentence parsing. SRME is based upon three features of ME placement in a sentence: properness of Sentence structure (feature F3), properties of ME (feature F2), and PoS of the Local neighbor plain text (feature F1). An inside-outside inspired algorithm is proposed for SRME by maximizing the probability of a relaxed parsing tree. Features in F2 was found to fit into both exponential and Poisson distributions, which could fuse with other features to re-weight the prediction rule that improves the prediction precision for SRme as a noun phrase (noun modifier) by 3.6% (18.7%). F1, F2, and F3 were found to complement each other. Significant discriminative patterns on the part-of-speech (PoS) of the neighbor plaintext are adopted to build a Naïve Bayesian classifier, which is fused with the F3 baseline that improved the precision of the prediction of SRme as a sentence by 10%. The overall error rate of the SRME prediction algorithm was found to be 15.1% based on an experiment using a public ME-plaintext mixed parsing tree data set provided by Elsevier.","PeriodicalId":144953,"journal":{"name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131421637","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

Toward plagiarism detection using citation networks 基于引文网络的抄袭检测

2017 Twelfth International Conference on Digital Information Management (ICDIM) Pub Date : 2017-09-01 DOI: 10.1109/ICDIM.2017.8244682

S. Soleman, Atsushi Fujii

引用次数: 2