2011 3rd International Conference on Awareness Science and Technology (iCAST)最新文献_第10页

Data model conversion for independent component analysis to extract brain signals 数据模型转换为独立成分分析提取脑信号

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163138

F. Cong, T. Ristaniemi

引用次数: 1

Fast fixed-point algorithm for blind separation of nonlinear autocorrelation and non-Gaussian sources 非线性自相关和非高斯源盲分离的快速不动点算法

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163093

Zhenwei Shi, Xinya Zhai, Zhenyu An, Zhi-guo Jiang

引用次数: 0

An improved secure communication based on random phase encoding technique 一种改进的基于随机相位编码技术的安全通信

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163094

X. Wu, Jing-jing Zhang, Xiao-xian Guo, T. Qiu

引用次数: 0

Investigation of Photoacoustic imaging for monitoring of Wound Healing under a Layer of Blood with Different Coagulation 光声成像监测不同凝血层下伤口愈合的研究

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163166

Chulgyu Song, Keo-Sik Kim, Min-Ho Kim, S. Ryu

引用次数: 3

BFSM: Finite state machine learned as name boundary definer for bio named entity recognition BFSM:有限状态机作为生物命名实体识别的名称边界定义器

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163168

Tsendsuren Munkhdalai, Meijing Li, Erdenetuya Namsrai, Oyun-Erdene Namsrai, K. Ryu

{"title":"BFSM: Finite state machine learned as name boundary definer for bio named entity recognition","authors":"Tsendsuren Munkhdalai, Meijing Li, Erdenetuya Namsrai, Oyun-Erdene Namsrai, K. Ryu","doi":"10.1109/ICAWST.2011.6163168","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163168","url":null,"abstract":"One essential task in automated information extraction for biomedical literature is bio named entity recognition process, which basically defines the boundaries between typical words and technical terms of biomedical domain in particular text data and, classifies them based on the domain knowledge. Due to nature of bio named entity, purely defining boundary of the named entities in text data is still challenging. This paper proposes using the part-of-speech tags of tokens as target observation of name boundary definer tool. We proposed an approach for modeling finite state machine as the boundary definer. Aided by machine learning methods including frequent pattern mining method and Bayesian network, the finite state machine learns on part-of-speech tag of tokens in bio-text data. The finite state machine based on Bayesian network is named BFSM. In addition, we report the influence of part-of-speech tagger tool for learning of BFSM. Experimental results show that the named entity recognition system using the BFSM gives us high accuracy as F-score 85.8.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124754947","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: 6

Android programming techniques for improving performance 改进性能的Android编程技术

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163105

Jae Kyu Lee, Jong Yeol Lee

引用次数: 24

A novel approach to mining access patterns 一种挖掘访问模式的新方法

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163169

Xiuming Yu, Meijing Li, Hyeongsoo Kim, Dong Gyu Lee, J. Park, K. Ryu

引用次数: 6

Blind source separation and visual voice activity detection for target speech extraction 盲源分离和视觉语音活动检测用于目标语音提取

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163194

Qingju Liu, Wenwu Wang

引用次数: 4

Environmental sound recognition using time-frequency intersection patterns 使用时频交叉模式的环境声音识别

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1155/2012/650818

Xuan Guo, Y. Toyoda, Huan Li, Jie Huang, Shuxue Ding, Yong Liu

{"title":"Environmental sound recognition using time-frequency intersection patterns","authors":"Xuan Guo, Y. Toyoda, Huan Li, Jie Huang, Shuxue Ding, Yong Liu","doi":"10.1155/2012/650818","DOIUrl":"https://doi.org/10.1155/2012/650818","url":null,"abstract":"Environmental sound recognition is an important function of robots and intelligent computer systems. In this research, we tried to use a multi-stage perceptron type neural network system for environmental sound recognition. The input data is the one-dimensional combination of instantaneous spectrum at power peak and the power pattern in time domain. Since for almost environmental sounds, their spectrum changes are not remarkable compared with speech or voice, the combination of power and frequency pattern will preserve the major features of environmental sounds but with drastically reduced data. Two experiments were conducted using an original database and a database created by the RWCP. The recognition rate for about 45 data kinds of environmental sound was about 92%. The merit of this method is the use of a one-dimensional input which combines the power pattern and the instantaneous spectrum of sound data. Comparing with the method using only instantaneous spectrum, the new method are sufficient for larger sound database and the recognition rate was increased about 12%. The results are also comparable with the methods of HMM, while those methods require 2-dimensional spectrum time series data and more complicated computation.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132053340","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: 14

Security-aware VLSI design for speaker identification based on efficient SMO architecture 基于高效SMO架构的安全感知说话人识别VLSI设计

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163100

Jhing-Fa Wang, Jr-Shiang Peng, Po-Chuan Lin, Bo-Wei Chen, Nai-Sheng Shih

{"title":"Security-aware VLSI design for speaker identification based on efficient SMO architecture","authors":"Jhing-Fa Wang, Jr-Shiang Peng, Po-Chuan Lin, Bo-Wei Chen, Nai-Sheng Shih","doi":"10.1109/ICAWST.2011.6163100","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163100","url":null,"abstract":"Speaker identification is a popular investigation that is greatly applied in many applications such as human-machine interfaced, security systems, etc. In real life, low cost and fast response are both necessary features for speaker identification in stand-alone embedded device. However, most of the responding time occupies in training phase, and the cost of general solution by employing digital signal processors is too high. In this work, security-aware VLSI design with the efficient Sequential Minimal Optimization (SMO) architecture is proposed for solving the problems in text-independent speaker identification. Our contributions are attributed to the optimal VLSI design form algorithm to architecture level. At algorithm level, the proposed Improved SMO (ISMO) algorithm is adopted for efficient data selection and it can reduce 30% computation. At architecture level, a distributed and reconfigurable computing architecture which combines parallel and pipeline designing styles is implemented, and it provides the high flexible and high performance benefits. Finally, the experimental results show that the proposed design can save 50% of memory usage, and the hardware resources can be reduced by 31% than our previous work. Furthermore, the responding time can decrease 85%.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121350834","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