2009 12th International Conference on Computers and Information Technology最新文献_第2页

Automatic speech recognition for Bangla digits 自动语音识别孟加拉数字

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407267

G. Muhammad, Y. Alotaibi, M. N. Huda

引用次数: 57

Phoneme recognition based on distinctive phonetic features (DPFs) incorporating a syllable based language model 基于独特语音特征的音素识别，并结合基于音节的语言模型

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407123

M. N. Huda, Manoj Banik, G. Muhammad, Bernd J. Kroger

引用次数: 1

Predictive power of the daily Bangladeshi exchange rate series based on Markov model, neuro fuzzy model and conditional heteroskedastic model 基于马尔可夫模型、神经模糊模型和条件异方差模型的孟加拉汇率日序列预测能力

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407119

S. Banik, M. Anwer, A. Khan

引用次数: 7

Palmprint based verification system robust to rotation, scale and occlusion 基于掌纹的验证系统对旋转、尺度和遮挡具有较强的鲁棒性

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407273

B. S, Phalguni Gupta

引用次数: 10

Adaptation of ATAMSM to software architectural design practices for organically growing small software companies 将ATAMSM应用于有机成长的小型软件公司的软件架构设计实践

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407288

S. Islam, M. Rokonuzzaman

{"title":"Adaptation of ATAMSM to software architectural design practices for organically growing small software companies","authors":"S. Islam, M. Rokonuzzaman","doi":"10.1109/ICCIT.2009.5407288","DOIUrl":"https://doi.org/10.1109/ICCIT.2009.5407288","url":null,"abstract":"The architecture of a software application determines the degree of success of both operation and development of software. Adopted architectural options not only affect the functionality and performance of the software, but they also affect delivery related factors such as cost, time, changeability, scalability, and maintainability. It is thus very important to find appropriate means of assessing benefits as well as liabilities of different architectural options to maximize the life-time benefit and reduce the overall cost of ownership of a software application. The Architecture Tradeoff Analysis Method (ATAMSM) developed by Software Engineering Institute (SEI) is that kind of tool. Considerably this is a very big framework for dealing with architectural tradeoff issues faced by large companies for developing large as well as complex software applications. The practicing of full blown ATAM without taking into consideration of diverse forces affecting the value addition from its practice does not maximize benefits from its adoption. Related forces faced by small software companies are significantly different than those faced by large software companies. Therefore, ATAM should be adapted to make it suitable for the practice by small software companies. This paper presents the information about the architectural practice level of organically grown small software companies within the context of ATAM followed by the gap analysis between the industry practices and ATAM, and adaptation recommendations. Both literature review and field investigation based on key informant interview have been performed for this purpose. Based on the findings of this study an adaptation process of ATAM for the small companies has been proposed.","PeriodicalId":443258,"journal":{"name":"2009 12th International Conference on Computers and Information Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129730800","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

Detection of various denial of service and Distributed Denial of Service attacks using RNN ensemble 利用RNN集成检测各种拒绝服务和分布式拒绝服务攻击

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407308

A. Islam, Tishna Sabrina

引用次数: 16

Microstrip antenna array with four port Butler matrix for switched beam base station application 四端口巴特勒矩阵微带天线阵列，用于交换波束基站

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407295

Muhammad Mahfuzul Alam

引用次数: 21

STP: In-network aggregation through proximity queries in a Sensor Network STP:传感器网络中通过邻近查询进行的网络内聚合

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407297

Md. Rakibul Haque, Mahmuda Naznin, M. Asaduzzaman, R. Ahmed

引用次数: 4

Evaluation of performances of digital adaptive filters in acoustic echo cancellation 数字自适应滤波器在声学回波消除中的性能评价

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407137

Md. Anamul Haque, A. Islam, M. Islam

引用次数: 4

Bayesian networks application for representation and structure learning of gene regulatory networks 贝叶斯网络在基因调控网络表示和结构学习中的应用

2009 12th International Conference on Computers and Information Technology Pub Date : 2009-12-01 DOI: 10.1109/ICCIT.2009.5407309

B. Ristevski, S. Loskovska

{"title":"Bayesian networks application for representation and structure learning of gene regulatory networks","authors":"B. Ristevski, S. Loskovska","doi":"10.1109/ICCIT.2009.5407309","DOIUrl":"https://doi.org/10.1109/ICCIT.2009.5407309","url":null,"abstract":"The cell functions and development are regulated by complex networks of genes, proteins and other components by means of their mutual interactions. These networks are called gene regulatory networks (GRNs). GRNs are used to reveal the fundamental gene regulatory mechanisms, to determine the reasons for many diseases and interactions between drugs and their targets. The introduction of experimental technologies such as microarrays, ChIP-chip which combines chromatin immunoprecipitation (ChIP) with microarrays and ChIP-Seq which combines ChIP with DNA sequencing, has provided a large number of available datasets related to gene expression and transcription factors (TFs) and their interactions. These datasets are basis for further analysis to reveal the gene regulation mechanisms. Many models have been applied to represent gene regulatory networks. We have used the dynamic Bayesian network model which is able to cope with missing data and can include a prior knowledge about transcription factors and their activation/inhibition of corresponding genes. We describe the obtained results and survey the common structure learning algorithms for learning of GRN's structure. We tested the obtained GRN for test datasets with different sizes and in the paper describe obtained dependencies between the ratio of Bayesian score and BIC and dataset size.","PeriodicalId":443258,"journal":{"name":"2009 12th International Conference on Computers and Information Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131660493","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