2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)最新文献_第2页

Intelligent mobile robots cooperation within a tasks oriented environment 面向任务环境下的智能移动机器人协作

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705200

Alina Ninett Panfir, R. Boboc, G. Mogan

引用次数: 1

Induction machine bearing faults detection based on artificial neural network 基于人工神经网络的感应电机轴承故障检测

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705210

C. Harlisca, I. Bouchareb, L. Frosini, L. Szabó

引用次数: 6

Semantic proximity in information retrieval and documents classification 信息检索和文档分类中的语义接近

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705178

Y. Vishnyakov, R. Vishnyakov

引用次数: 2

Seismic image recognition tool via artificial neural network 地震图像识别工具，通过人工神经网络

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705229

S. Yong, Yoke Yie Chen, C. E. Wan

{"title":"Seismic image recognition tool via artificial neural network","authors":"S. Yong, Yoke Yie Chen, C. E. Wan","doi":"10.1109/CINTI.2013.6705229","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705229","url":null,"abstract":"In oil and gas exploration, seismic images are processed to identify the existence of potential reservoir by classifying the seismic image into different sections. These sections, also known as objects, are made up of different patterns portraying the structure of subsurface. This study aims to develop an artificial neural network to recognize the objects of channel and fault in seismic images. Three neural networks employing tan-sigmoid, log-sigmoid and purelin transfer function were created respectively. Gray Level Cooccurrence Matrix (GLCM) textual feature is used as image features in our dataset. The accuracy of the developed neural network in recognizing channel and fault in seismic images were measured. This preliminary study reveals that the feedforward neural network with transfer function of tan-sigmoid has the best performance in classifying the objects in our case. It is then used to develop an automated tool as our prototype system to facilitate seismic object recognition. It is observed that the prototype system can serve as a good tool for undergraduate students to learn about channel and fault recognition with minimal guidance from the experts.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"18 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132733629","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

Identification based leakage detection of hydraulic capsules 基于识别的液压胶囊泄漏检测

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705233

A. Kovari, D. Fodor

引用次数: 4

Information acquisition support for decision-makers using the Multiplex Risk Communicator system 利用多路风险沟通系统为决策者提供信息获取支持

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705172

H. Yajima, Tomohiro Watanabe, R. Sasaki, M. Kurosawa, N. Kando

引用次数: 0

A two-level approach for intricate manipulation planning 复杂操作规划的两级方法

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705186

M. Pomarlan, I. Sucan

{"title":"A two-level approach for intricate manipulation planning","authors":"M. Pomarlan, I. Sucan","doi":"10.1109/CINTI.2013.6705186","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705186","url":null,"abstract":"In the past few years several research efforts have aimed to produce robots capable of operating in environments inhabited by humans. This requirement places some tough constraints on a robot; among them, the ability to solve manipulation tasks that come as second nature to people. Manipulation problems are difficult because they present narrow passages (often, the kinds of possible or useful maneuvers are included in a very small subset of all possible maneuvers) as well as very high dimensional configuration spaces. Manipulation tasks often require both arms to be used, and the grasp on a manipulated object matters. Furthermore, the grasp may need to be changed along the execution of the task. To make planning for such problems tractable, we propose a two-level planning architecture inspired by the way humans tackle such problems: plan a motion for the object first, then the sequence of manipulation actions. This approach can alleviate both the narrow passage and the high-dimensionality problem, as well as offer the possibility for human assisted motion planning. We offer an intuitive justification for the method and validate it experimentally.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125879409","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

Wavelet-based technique for feedback control of uncertain systems — A case study 基于小波的不确定系统反馈控制技术-一个案例研究

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705206

A. Dineva, A. Várkonyi-Kóczy, J. Tar

引用次数: 0

Selective chunking — Easy and effective way to estimate text similarity 选择性分块——简单有效的估计文本相似度的方法

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705226

Tomás Kucecka, D. Chudá, P. Samuhel

引用次数: 0

Evaluating performance of cloud computing environments 评估云计算环境的性能

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI: 10.1109/CINTI.2013.6705204

Á. Nagy, B. Kővári

引用次数: 1