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2010 Second International Conference on Computational Intelligence and Natural Computing最新文献

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Application of keywords speech recognition in agricultural voice information system 关键词语音识别在农业语音信息系统中的应用
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643755
Wenhao Ou, W. Gao, Zhen Li, Shuliang Zhang, Qing Wang
{"title":"Application of keywords speech recognition in agricultural voice information system","authors":"Wenhao Ou, W. Gao, Zhen Li, Shuliang Zhang, Qing Wang","doi":"10.1109/CINC.2010.5643755","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643755","url":null,"abstract":"This paper describes the Microsoft speech recognition technology and SAPI recognition interface provided by Microsoft speech development platform. Command mode of speech recognition, with custom keywords, can improve speech recognition accuracy. Then, an agricultural voice information system based on speech recognition is designed and implemented on the Microsoft speech development platform, which can improve the complicated touch-tone operations. The users can access the voice information system easily only through oral description. This technology also simplifies the process of system response.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"31 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122577706","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: 11
Research on the improvement of slide projector calibration precision 提高幻灯机校准精度的研究
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643848
Zheng Li, Luo Jun, L. Tao
{"title":"Research on the improvement of slide projector calibration precision","authors":"Zheng Li, Luo Jun, L. Tao","doi":"10.1109/CINC.2010.5643848","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643848","url":null,"abstract":"The camera calibration and projector calibration are very crucial since the coordinate computation depends on the accuracy of calibration. This calibration procedure consists of camera calibration and projector calibration, done in this order so that the calibrated camera can be used to calibrate the projector. The digital camera is firstly calibrated by the algorithm with 2D direct linear transformation (2D-DLT) and collinear equations. Based on the same calibration model, the calibration precision of projector is lower than that of CCD camera. It is analyzed by the following aspects, such as image and space. For the space point error by paper thickness and distortion, the Z value of space point is compensated through stimulant data. Then the improvement of projector calibration is completed successfully after bundle adjustment and the calculation to the projector parameters again.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138744","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
Application of facies-controlling stochastic modeling technique in heterogeneity reservoir and its effective application analysis 控相随机建模技术在非均质储层中的应用及其有效应用分析
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643904
Deng Mei-yin, Ren Weiwei, Zhang Jinliang
{"title":"Application of facies-controlling stochastic modeling technique in heterogeneity reservoir and its effective application analysis","authors":"Deng Mei-yin, Ren Weiwei, Zhang Jinliang","doi":"10.1109/CINC.2010.5643904","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643904","url":null,"abstract":"Many oilfield have gone into the intermediary or later stage of development, with the raise of the development level, reservoir geologic research urgently need some new practical technique method to describe reservoir properties accurately and carefully. Basing on principles of sedimentology and quantitative analysis of well logging interpretation, carrying out micro-phase study, and using the research results of micro-facies to constrain the spatial distribution of reservoir parameters. Establishing a fine reservoir geological model, and solve the problem of sedimentary facies modeling can not effective combination in the process of modeling. Practices have proved that this method is feasible, especially in the heterogeneity reservoirs. Application of phase control modeling technique not only provide a more accurate reservoir property model, but also can provide a geological basis for the remaining petroleum development and development adjustment.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122262983","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
A fast algorithm of logarithm-form fractional lower-order spectrums 对数形式分数阶低阶谱的快速算法
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643899
Jinlong Jiang, Daifeng Zha, Qian Zhang
{"title":"A fast algorithm of logarithm-form fractional lower-order spectrums","authors":"Jinlong Jiang, Daifeng Zha, Qian Zhang","doi":"10.1109/CINC.2010.5643899","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643899","url":null,"abstract":"A fast algorithm of logarithm-form fractional lower-order spectrums is proposed in this paper in order to be facilitative for practice application that traditional fractional lower-order spectrums need to identify characteristic exponent alpha and improve its calculating speed for alpha stable distribution signal or noise. The algorithm is not depended on a prior knowledge of characteristic exponent alpha, and ease to apply to DSP systems by assembly language instructions and fast Fourier transform (FFT). The application in a TMS320VC5416 DSP system shows that the algorithm is effective.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127603010","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
A cognitive learning model in classroom interaction 课堂互动中的认知学习模式
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643732
Cui Guang-zuo
{"title":"A cognitive learning model in classroom interaction","authors":"Cui Guang-zuo","doi":"10.1109/CINC.2010.5643732","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643732","url":null,"abstract":"This paper, based on the cognitive architecture of learning and thinking [7], proposes a cognitive learning model in classroom interaction, which bridges the gap between classroom interaction and learning outcome. In this model, a learning activity is defined as a cognitive matrix at a low level in which M rows and N columns are set, each row represents a logical cognitive step of learning procedure, and each column contains all the contents processed by a corresponding component in cognitive architecture. At the meantime, the learning outcome can be produced from contents of column LTDM, AO and AADM of cognitive architecture [7]. A memory consolidation model is also proposed and simulated with PDP tool. Experiment of teaching concept knowledge indicates the effectiveness of the proposed models.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133785322","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
Wind turbine simulation of offshore environmental conditions 海上风力机环境条件模拟
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643810
Dazhi Wang, Huaming Wang, Yupeng Shi, Jun Li, Keling Song, Shengli Liu, Yiqi Li
{"title":"Wind turbine simulation of offshore environmental conditions","authors":"Dazhi Wang, Huaming Wang, Yupeng Shi, Jun Li, Keling Song, Shengli Liu, Yiqi Li","doi":"10.1109/CINC.2010.5643810","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643810","url":null,"abstract":"In order to achieve the simulation of the external offshore environmental conditions in the wind power generation system, a wind speed model and a tower load module was built by simulink for calculating the wind load and current load on the wind rotor and tower load and introduce the ice load briefly. The simulation results show that the model can not only show positive responses to the actual wind speed, but also provide the correct source parameters for the study of wind power generation analog systems. Load model has directive significance for the calculations of the offshore wind turbine load.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115500510","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
A k-climax neighbors policy based viterbi decoding for large vocabulary mandarin speech recognition 基于k-高潮邻居策略的大词汇量普通话语音识别viterbi解码
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643797
Pei Zhao, Xihong Wu
{"title":"A k-climax neighbors policy based viterbi decoding for large vocabulary mandarin speech recognition","authors":"Pei Zhao, Xihong Wu","doi":"10.1109/CINC.2010.5643797","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643797","url":null,"abstract":"In this paper, we apply the k-climax neighbors (k-CN) policy derived from the Bayesian Ying-Yang (BYY) learning framework to Viterbi decoding for Hidden Markov Model based large vocabulary mandarin speech recognition, to adaptively obtain a more precise state decision boundary in the decoding phase. When calculating the posterior probability for each state on a given frame, k Gaussian components from these states are selected by the k-CN policy as the most reliable descriptions, which make the decision boundaries among the competitive candidate states more precise. The experimental results show that a 2.1% relative reduction of the character error rate is achieved on Hub-4 test by adopting the proposed approach.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124723058","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
ℌFlower basin effectℍ and autonomous foreign language learning with the aid of network and multimedia <s:1>花盆效应<e:1>与网络多媒体辅助外语自主学习
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643768
Zhang Chun, Fan Xiying
{"title":"ℌFlower basin effectℍ and autonomous foreign language learning with the aid of network and multimedia","authors":"Zhang Chun, Fan Xiying","doi":"10.1109/CINC.2010.5643768","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643768","url":null,"abstract":"ℌFlower Basin Effectℍ exists universally in foreign language study. This paper first studied incomparable superiority of classroom teaching(ℌflower basinℍ environment) to language acquisition in natural environment , as well as its inherent limitations. In order to overcome limitations of classroom teaching and maximize the learning efficiency, the paper explored the development of the students' autonomous learning ability in the new environment ----network and multimedia environment. The main ways are: we should socialize classroom teaching, give students diagnosis and training of their learning strategies, adopt teaching mode combining classroom teaching and network autonomous learning and establish network autonomous learning resource bank.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122050845","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
Hierarchical exploration based active learning with support vector machine 基于层次探索的支持向量机主动学习
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643833
Yanping Yang, E. Song, Guangzhi Ma
{"title":"Hierarchical exploration based active learning with support vector machine","authors":"Yanping Yang, E. Song, Guangzhi Ma","doi":"10.1109/CINC.2010.5643833","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643833","url":null,"abstract":"The goal of active learning is to minimize the amount of labeled data required for machine learning. Some methods have focused on exploiting the samples with high uncertainty, but those methods fail in getting a representative set of the data samples. Other methods try to explore the representative samples by utilizing the prior distribution of the dataset. However, they are often computationally expensive and need a large amount of labeled data for initialization. In this paper we develop a hierarchical exploration based active learning algorithm that takes into account both the distribution of the dataset and the decision boundary of the current hypothesis. Our method uses the support vector machine (SVM) as the classifier. The hierarchical clustering algorithm is used to discover the dataset's structure step by step in a top-down manner. In each step of hierarchical structure discovery, the representative samples will be queried for labels to check the relative cluster's purity. The cluster with low purity will be divided further. After the draft SVM model is built with those representative samples, the uncertain samples near decision boundary will be further labeled if it can help reduce the entropy of the classifier. To show the effectiveness of the proposed method, our proposed method is compared with five state-of-art algorithms on six datasets from UCI. Our method shows the best performance through the comparison.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122134927","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
Statistical analysis of Rician and Nakagami-m fading channel using multipath Shape factors 基于多径形状因子的rici和nakagami衰落信道统计分析
2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI: 10.1109/CINC.2010.5643809
Hai-ying Shang, Yu Han, Ji-hua Lu
{"title":"Statistical analysis of Rician and Nakagami-m fading channel using multipath Shape factors","authors":"Hai-ying Shang, Yu Han, Ji-hua Lu","doi":"10.1109/CINC.2010.5643809","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643809","url":null,"abstract":"Statistical characteristics of Rician and Nakagami-m fading channel are considered which develops the statistical analysis to characterize the frequency-selective fading properties. We use a new analytical multipath shape factors proposed by Durgin which greatly simplifies the description of Rician and Nakagami-m fading channel. The three shape factors are angular spread, angular constriction and azimuthal direction of maximum fading. The first-order and second-order statistics of received signal fluctuations in Rician and Nakagami-m multipath fading channel are analyzed. Analytical expressions for spatial unit autocovariance and coherence distance are both used in the shape factor theory.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121078024","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: 11
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