2012 6th International Conference on Application of Information and Communication Technologies (AICT)最新文献_第8页

Comparison of the efficiency of principal component analysis and multiple linear regression to determine students' academic achievement 主成分分析与多元线性回归测定学生学业成绩的有效性比较

2012 6th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2012-12-31 DOI: 10.1109/ICAICT.2012.6398537

M. Erguven

引用次数: 4

Evolution mobile wireless communication and LTE networks 演进移动无线通信和LTE网络

2012 6th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2012-12-31 DOI: 10.1109/ICAICT.2012.6398495

T. Mshvidobadze

{"title":"Evolution mobile wireless communication and LTE networks","authors":"T. Mshvidobadze","doi":"10.1109/ICAICT.2012.6398495","DOIUrl":"https://doi.org/10.1109/ICAICT.2012.6398495","url":null,"abstract":"Mobile communications systems revolutionized the way people communicate, joining together communications and mobility. A long way in a remarkably short time has been achieved in the history of wireless. Evolution of wireless access technologies is about to reach its fourth generation (4G). Looking past, wireless access technologies have followed different evolutionary paths aimed at unified target: performance and efficiency in high mobile environment. The first generation (1G) has fulfilled the basic mobile voice, while the second generation (2G) has introduced capacity and coverage. This is followed by the third generation (3G), which has quest for data at higher speeds to open the gates for truly \"mobile broadband\" experience, which will be further realized by the fourth generation (4G). The Fourth generation (4G) will provide access to wide range o f telecommunication services, including advanced mobile services, supported by mobile and fixed networks, which are increasingly packet based, along with a support for low to high mobility applications and wide range o f data rates, in accordance with service demands in multiuser environment. This paper provides a high level overview of the evolution o f Mobile Wireless Communication Networks from 3G to 4G. Is described LTE(Long Term Evolution) a fourth generation (4G) mobile network technology.","PeriodicalId":221511,"journal":{"name":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127520031","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: 39

A comparative study on feature selection in Chinese Spam Filtering 中文垃圾邮件过滤中特征选择的比较研究

2012 6th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2012-10-01 DOI: 10.1109/ICAICT.2012.6398481

Yan Xu

{"title":"A comparative study on feature selection in Chinese Spam Filtering","authors":"Yan Xu","doi":"10.1109/ICAICT.2012.6398481","DOIUrl":"https://doi.org/10.1109/ICAICT.2012.6398481","url":null,"abstract":"Feature selection plays an important role in Spam Filtering. Automatic feature selection methods such as document frequency thresholding (DF), information gain (IG), and so on are commonly applied in spam filtering. Spam filtering can also be seen as a special two-class text categorization (TC) problem. Many existing experiments show IG is one of the most effective methods in text categorization task. However, what is the most effective method on spam filtering? As we all know there was not a systematic research about these feature selection methods on spam filtering. This paper is a comparative study of feature selection methods in spam filtering. The focus is on aggressive dimensionality reduction. We explore 2 classifiers (Naïve Bayes and SVM), and run our experiments on Chinese-spam collection. Six methods were evaluated, including term selection based on document frequency (DF), information gain(IG), χ2 feature selection method, expected cross entropy (ECE), the weight of evidence for text (WET) and odds ratio (ODD). We found ODD and WET most effective in our experiments. In contrast, IG and χ2 had relatively poor performance due to their bias towards favoring rare terms, and its sensitivity to probability estimation errors.","PeriodicalId":221511,"journal":{"name":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115544596","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

ZIPPER: The holistic spell checker 拉链:整体拼写检查

2012 6th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2012-10-01 DOI: 10.1109/ICAICT.2012.6398519

L. Alhusaini

引用次数: 1

Conceptual discrete wavelet transformation speech hashing for content authentication 概念离散小波变换语音哈希内容认证

2012 6th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2012-10-01 DOI: 10.1109/ICAICT.2012.6682861

M. Nouri, N. Farhangian, Karim Baghery, Z. Zeinolabedini

{"title":"Conceptual discrete wavelet transformation speech hashing for content authentication","authors":"M. Nouri, N. Farhangian, Karim Baghery, Z. Zeinolabedini","doi":"10.1109/ICAICT.2012.6682861","DOIUrl":"https://doi.org/10.1109/ICAICT.2012.6682861","url":null,"abstract":"Conceptual hash functions provide a tool for fast and reliable identification of content authentication. Robust hashing for multimedia authentication is an emergent research area. A different key-dependent robust speech hashing based upon speech construction model is proposed in this article. The proposed hash function is based on the essential frequency series. Robust hash is calculated based on linear spectrum frequencies which model the verbal territory. The correlation between LSFs is decoupled by discrete wavelet transformation (DWT). A randomization structure controlled by a secret key is used in hash generation for random feature selection. The hash function is key-dependent and collision resistant. Temporarily, it is extremely robust to content protective operations besides having high accuracy of tampering localization. They are found, the first, to perform very adequately in identification and verification tests, and the second, to be very robust to a large range of attacks. Furthermore, it can be addressed the issue of security of hashes and proposed a keying technique, and thereby a key-dependent hash function.","PeriodicalId":221511,"journal":{"name":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115945282","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

The model for predicting the competitiveness of science engineering products 科技工程产品竞争力预测模型

2012 6th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2012-10-01 DOI: 10.1109/ICAICT.2012.6398511

A. V. Maslov

引用次数: 0