发布求助
文献互助 智能选刊 最新文献

2011 3rd International Workshop on Intelligent Systems and Applications最新文献

筛选
英文 中文
A Combined Pedestrian Detection Method Based on Haar-Like Features and HOG Features 基于Haar-Like特征和HOG特征的行人检测方法
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873387
Xin Yuan, Xiaosen Shan, Li Su
{"title":"A Combined Pedestrian Detection Method Based on Haar-Like Features and HOG Features","authors":"Xin Yuan, Xiaosen Shan, Li Su","doi":"10.1109/ISA.2011.5873387","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873387","url":null,"abstract":"Considering the simplicity and fast training speed of Haar-like features, the high detecting precision of HOG features, a combined method is proposed on the basis of the two features. Several rectangular features which can describe local human characteristics based on original features are added. The combined method can retain the precision of HOG features and increase the speed of detection at the same time. The experiments have shown this method can detect the pedestrians quickly and effectively with high precision.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126368702","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: 21
A Method for Improving the Accuracy of Predicting Protein Structural Classes 一种提高蛋白质结构分类预测准确度的方法
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873418
Tong Wang, A. Wang, Lihua Hu
{"title":"A Method for Improving the Accuracy of Predicting Protein Structural Classes","authors":"Tong Wang, A. Wang, Lihua Hu","doi":"10.1109/ISA.2011.5873418","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873418","url":null,"abstract":"The structure of a protein is closely correlated to its function. Feature dimension reduction method is one of most famous machine learning tools. Some researchers have begun to explore feature dimension reduction method for computer vision problems. Few such attempts have been made for classification of high-dimensional protein data sets. In this paper, feature dimension reduction method is employed to reduce the size of the features space. Comparison between linear Feature dimension reduction method and nonlinear feature dimension reduction method is performed to predict protein structural classes. The results with high success rates indicate that the above method is used effectively to deal with this complicated problem of predicting proteins structural classes.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128095015","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
Research on Integrated Position System of GPS/GLONASS for Certain Equipment 某设备GPS/GLONASS综合定位系统研究
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873342
Guo-hua Gu, Feimeng Zhang, Ji-zhong Wang, Yi Li, De-jun Chu
{"title":"Research on Integrated Position System of GPS/GLONASS for Certain Equipment","authors":"Guo-hua Gu, Feimeng Zhang, Ji-zhong Wang, Yi Li, De-jun Chu","doi":"10.1109/ISA.2011.5873342","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873342","url":null,"abstract":"Based on the objective request of positioning for equipment nowadays, the integrated positioning of GPS/GLONASS for certain equipment is discussed. The method of combination positioning of pseudo-range and combination of carrier phase & pseudo-range is mainly studied, the software and hardware of the system is general designed. Lastly, the Filtering simulation of self-adopted variance model, survey simulation of self-adaptive model based on Doppler and white disposal of the system are tested and compared, it is showed in the result that the data of integrated GPS/GLONASS system is more stable, accurate and reliable than others.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125485698","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 Application of Association Rules Algorithm in the Prediction of Drilling Troubles 关联规则算法在钻井故障预测中的应用
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873459
Hongwu Luo, Jinhuan Yin, Xiaofei Jia
{"title":"The Application of Association Rules Algorithm in the Prediction of Drilling Troubles","authors":"Hongwu Luo, Jinhuan Yin, Xiaofei Jia","doi":"10.1109/ISA.2011.5873459","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873459","url":null,"abstract":"Because the drilling complications happen randomly and uncertainly,this article uses association rules algorithm to analyze and predict the connections among drilling troubles and its researching data is the complications happened around the oil well,then draw a conclusion whether one or more complications can cause others,so as to improve the forecasting accuracy of drilling troubles,and we can take some preventive measures in advance and reduce unnecessary losses in the end.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122267703","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
Knowledge Granulation in Interval-Valued Information Systems 区间值信息系统中的知识粒化
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873422
N. Zhang, D. Miao, C. Gao
{"title":"Knowledge Granulation in Interval-Valued Information Systems","authors":"N. Zhang, D. Miao, C. Gao","doi":"10.1109/ISA.2011.5873422","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873422","url":null,"abstract":"Rough set theory, proposed by Pawlak, has been proved to be a mathematical tool to deal with vagueness and uncertainty in intelligent information processing. In this paper, we propose the concept of knowledge granulation in interval-valued information systems, and discuss some important properties. From these properties, it can be shown that the proposed knowledge granulation provides important approaches to measuring the discernibility of different knowledge. It may be helpful for rule evaluation and knowledge discovery in interval-valued information systems.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130794750","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
Image Denoising Using FIR Filters Designed with Evolution Strategies 基于进化策略的FIR滤波器图像去噪
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873253
Shuangteng Zhang
{"title":"Image Denoising Using FIR Filters Designed with Evolution Strategies","authors":"Shuangteng Zhang","doi":"10.1109/ISA.2011.5873253","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873253","url":null,"abstract":"Images are often corrupted by noise due to various factors during their acquisition and transmission phases. Image denoising is aimed to remove the noise as well as preserving image features as much as possible. This paper presents an adaptive image denosing method using FIR (finite impulse response) filters. The FIR filter coefficients are optimized by using evolution strategies algorithm in which the FIR coefficients are evolved through crossover and mutation operations. Simulations demonstrate that it can efficiently remove the noise, and thus, significantly improve the visual quality of the degraded image. In terms of PSNR, it outperforms the comparable methods considered in the simulations.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111397","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
A New Fuzzy Object-Oriented Inference Engine 一种新的模糊面向对象推理引擎
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873370
Hong-Qiang Tian
{"title":"A New Fuzzy Object-Oriented Inference Engine","authors":"Hong-Qiang Tian","doi":"10.1109/ISA.2011.5873370","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873370","url":null,"abstract":"The paper using object-oriented programming technology establishes a model of inference engine,and proposes a new reasoning method which can improve the reasoning efficiency.The model is used to predict thermal state of blast furnace which achieves good result and greatly improves the reasoning efficiency.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133664006","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
Parallel Fish Swarm Algorithm Based on GPU-Acceleration 基于gpu加速的并行鱼群算法
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873264
Yifan Hu, B. Yu, Jianliang Ma, Tianzhou Chen
{"title":"Parallel Fish Swarm Algorithm Based on GPU-Acceleration","authors":"Yifan Hu, B. Yu, Jianliang Ma, Tianzhou Chen","doi":"10.1109/ISA.2011.5873264","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873264","url":null,"abstract":"With the development of Graphics Processing Unit (GPU) and the Compute Unified Device Architecture (CUDA) platform, researchers shift their attentions to general-purpose computing applications with GPU. In this paper, we present a novel parallel approach to run artificial fish swarm algorithm (AFSA) on GPU. Experiments are conducted by running AFSA both on GPU and CPU respectively to optimize four benchmark test functions. With the same optimization performance, the running speed of the AFSA based on GPU (GPU-AFSA) can be as 30 time fast as that of the AFSA based on CPU (CPU-AFSA). As far as we know, this is the first implementation of AFSA on GPU.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131411815","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: 9
Analysis of Mining ADSL Channel Capacity ADSL信道容量挖掘分析
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873360
Yan-hui Xie, Hong Ding
{"title":"Analysis of Mining ADSL Channel Capacity","authors":"Yan-hui Xie, Hong Ding","doi":"10.1109/ISA.2011.5873360","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873360","url":null,"abstract":"The presentation of mine monitoring system based on ADSL, solves the existing problems such as poor reliability, hard maintenance. The paper mainly studies mining ADSL channel capacity under AWGN. Then the paper calculates the capacity of selected cable under the explosive atmosphere, and concretely researches the relationship of the channel capacity, the length of twisted pair, the input power and the frequency specifically.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124322252","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
BP Neural Network Prediction Model of Rock Surface Displacement Caused by Anchor-Hold Change 锚固变化引起岩体表面位移的BP神经网络预测模型
2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI: 10.1109/ISA.2011.5873389
Chunhui Fang, Xiaoyue Zhang
{"title":"BP Neural Network Prediction Model of Rock Surface Displacement Caused by Anchor-Hold Change","authors":"Chunhui Fang, Xiaoyue Zhang","doi":"10.1109/ISA.2011.5873389","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873389","url":null,"abstract":"The prestressed loss of group anchor in rock slope increase with time, which leads to the compression belt of structure plane in group anchor area was weakened, deformation of rock surface toward the free surface direction increase gradually, as a result, the slope stability was drastically reduced. Based on the group anchor layout of the abutment rock slope of an arch dam, the anchor-hold monitoring series, the rock surface displacement monitoring series, and according to the adaptive BP neural network with variable steps, a prediction model for rock surface displacement caused by the prestressed change in group anchor area was established in this paper. By using the model, the displacement of rock surface for typical days is simulated, with the result perfectly consistent with the monitoring data, which verify that when the anchor prestressed loss in group anchor area is known, the rock surface displacement can be correctly predicted by the BP neural network model established in this paper.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124566296","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信