Adv. Artif. Intell.最新文献_第5页

Power Transformer Differential Protection Based on Neural Network Principal Component Analysis, Harmonic Restraint and Park's Plots 基于神经网络主成分分析、谐波约束和帕克图的电力变压器差动保护

Adv. Artif. Intell. Pub Date : 2012-08-28 DOI: 10.1155/2012/930740

M. Tripathy

{"title":"Power Transformer Differential Protection Based on Neural Network Principal Component Analysis, Harmonic Restraint and Park's Plots","authors":"M. Tripathy","doi":"10.1155/2012/930740","DOIUrl":"https://doi.org/10.1155/2012/930740","url":null,"abstract":"This paper describes a new approach for power transformer differential protection which is based on the wave-shape recognition technique. An algorithm based on neural network principal component analysis (NNPCA) with back-propagation learning is proposed for digital differential protection of power transformer. The principal component analysis is used to preprocess the data from power system in order to eliminate redundant information and enhance hidden pattern of differential current to discriminate between internal faults from inrush and overexcitation conditions. This algorithm has been developed by considering optimal number of neurons in hidden layer and optimal number of neurons at output layer. The proposed algorithm makes use of ratio of voltage to frequency and amplitude of differential current for transformer operating condition detection. This paper presents a comparative study of power transformer differential protection algorithms based on harmonic restraint method, NNPCA, feed forward back propagation neural network (FFBPNN), space vector analysis of the differential signal, and their time characteristic shapes in Park’s plane. The algorithms are compared as to their speed of response, computational burden, and the capability to distinguish between a magnetizing inrush and power transformer internal fault. The mathematical basis for each algorithm is briefly described. All the algorithms are evaluated using simulation performed with PSCAD/EMTDC and MATLAB.","PeriodicalId":7253,"journal":{"name":"Adv. Artif. Intell.","volume":"69 1","pages":"930740:1-930740:9"},"PeriodicalIF":0.0,"publicationDate":"2012-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91192112","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: 19

Work Out the Semantic Web Search: The Cooperative Way 语义网络搜索的实现:合作方式

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/867831

Dora Melo, I. Rodrigues, V. Nogueira

引用次数: 9

Development of Robots with Soft Sensor Flesh for Achieving Close Interaction Behavior 实现近距离交互行为的柔性传感肉机器人的研制

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/157642

T. Yoshikai, Marika Hayashi, Yui Ishizaka, Hiroko Fukushima, Asuka Kadowaki, Takashi Sagisaka, Kazuya Kobayashi, Iori Kumagai, M. Inaba

{"title":"Development of Robots with Soft Sensor Flesh for Achieving Close Interaction Behavior","authors":"T. Yoshikai, Marika Hayashi, Yui Ishizaka, Hiroko Fukushima, Asuka Kadowaki, Takashi Sagisaka, Kazuya Kobayashi, Iori Kumagai, M. Inaba","doi":"10.1155/2012/157642","DOIUrl":"https://doi.org/10.1155/2012/157642","url":null,"abstract":"In order to achieve robots' working around humans, safe contacts against objects, humans, and environments with broad area of their body should be allowed. Furthermore, it is desirable to actively use those contacts for achieving tasks. Considering that, many practical applications will be realized by whole-body close interaction of many contacts with others. Therefore, robots are strongly expected to achieve whole-body interaction behavior with objects around them. Recently, it becomes possible to construct wholebody tactile sensor network by the advancement of research for tactile sensing system. Using such tactile sensors, some research groups have developed robots with whole-body tactile sensing exterior. However, their basic strategy is making a distributed 1- axis tactile sensor network covered with soft thin material. Those are not sufficient for achieving close interaction and detecting complicated contact changes. Therefore, we propose \"Soft Sensor Flesh.\" Basic idea of \"Soft Sensor Flesh\" is constructing robots' exterior with soft and thick foam with many sensor elements including multiaxis tactile sensors. In this paper, a constructing method for the robot systems with such soft sensor flesh is argued. Also, we develop some prototypes of soft sensor flesh and verify the feasibility of the proposed idea by actual behavior experiments.","PeriodicalId":7253,"journal":{"name":"Adv. Artif. Intell.","volume":"41 1","pages":"157642:1-157642:27"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81240495","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: 20

CardioSmart365: Artificial Intelligence in the Service of Cardiologic Patients CardioSmart365:为心脏病患者服务的人工智能

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/585072

Efrosini Sourla, S. Sioutas, V. Syrimpeis, A. Tsakalidis, Giannis Tzimas

{"title":"CardioSmart365: Artificial Intelligence in the Service of Cardiologic Patients","authors":"Efrosini Sourla, S. Sioutas, V. Syrimpeis, A. Tsakalidis, Giannis Tzimas","doi":"10.1155/2012/585072","DOIUrl":"https://doi.org/10.1155/2012/585072","url":null,"abstract":"Artificial intelligence has significantly contributed in the evolution of medical informatics and biomedicine, providing a variety of tools available to be exploited, from rule-based expert systems and fuzzy logic to neural networks and genetic algorithms. Moreover, familiarizing people with smartphones and the constantly growing use of medical-related mobile applications enables complete and systematic monitoring of a series of chronic diseases both by health professionals and patients. In this work, we propose an integrated system for monitoring and early notification for patients suffering from heart diseases. CardioSmart365 consists of web applications, smartphone native applications, decision support systems, and web services that allow interaction and communication among end users: cardiologists, patients, and general doctors. The key features of the proposed solution are (a) recording and management of patients' measurements of vital signs performed at home on regular basis (blood pressure, blood glucose, oxygen saturation, weight, and height), (b) management of patients' EMRs, (c) cardiologic patient modules for the most common heart diseases, (d) decision support systems based on fuzzy logic, (e) integrated message management module for optimal communication between end users and instant notifications, and (f) interconnection to Microsoft Health Vault platform. CardioSmart365 contributes to the effort for optimal patient monitoring at home and early response in cases of emergency.","PeriodicalId":7253,"journal":{"name":"Adv. Artif. Intell.","volume":"59 Pt 1 1","pages":"585072:1-585072:12"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84230183","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: 7

Chaotic Neural Network for Biometric Pattern Recognition 生物特征模式识别的混沌神经网络

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/124176

Kushan Ahmadian, M. Gavrilova

{"title":"Chaotic Neural Network for Biometric Pattern Recognition","authors":"Kushan Ahmadian, M. Gavrilova","doi":"10.1155/2012/124176","DOIUrl":"https://doi.org/10.1155/2012/124176","url":null,"abstract":"Biometric pattern recognition emerged as one of the predominant research directions inmodern security systems. It plays a crucial role in authentication of both real-world and virtual reality entities to allow system to make an informed decision on granting access privileges or providing specialized services. The major issues tackled by the researchers are arising from the ever-growing demands on precision and performance of security systems and at the same time increasing complexity of data and/or behavioral patterns to be recognized. In this paper, we propose to deal with both issues by introducing the new approach to biometric pattern recognition, based on chaotic neural network (CNN). The proposed method allows learning the complex data patterns easily while concentrating on the most important for correct authentication features and employs a unique method to train different classifiers based on each feature set. The aggregation result depicts the final decision over the recognized identity. In order to train accurate set of classifiers, the subspace clustering method has been used to overcome the problem of high dimensionality of the feature space. The experimental results show the superior performance of the proposed method.","PeriodicalId":7253,"journal":{"name":"Adv. Artif. Intell.","volume":"28 1","pages":"124176:1-124176:9"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75532808","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

Basin Hopping as a General and Versatile Optimization Framework for the Characterization of Biological Macromolecules 盆地跳跃作为生物大分子表征的通用和通用优化框架

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/674832

Brian S. Olson, I. Hashmi, Kevin Molloy, Amarda Shehu

{"title":"Basin Hopping as a General and Versatile Optimization Framework for the Characterization of Biological Macromolecules","authors":"Brian S. Olson, I. Hashmi, Kevin Molloy, Amarda Shehu","doi":"10.1155/2012/674832","DOIUrl":"https://doi.org/10.1155/2012/674832","url":null,"abstract":"Since its introduction, the basin hopping (BH) framework has proven useful for hard nonlinear optimization problems with multiple variables and modalities. Applications span a wide range, from packing problems in geometry to characterization of molecular states in statistical physics. BH is seeing a reemergence in computational structural biology due to its ability to obtain a coarse-grained representation of the protein energy surface in terms of local minima. In this paper, we show that the BH framework is general and versatile, allowing to address problems related to the characterization of protein structure, assembly, and motion due to its fundamental ability to sample minima in a high-dimensional variable space. We show how specific implementations of the main components in BH yield algorithmic realizations that attain state-of-the-art results in the context of ab initio protein structure prediction and rigid protein-protein docking. We also show that BH can map intermediate minima related with motions connecting diverse stable functionally relevant states in a protein molecule, thus serving as a first step towards the characterization of transition trajectories connecting these states.","PeriodicalId":7253,"journal":{"name":"Adv. Artif. Intell.","volume":"43 1","pages":"674832:1-674832:19"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81177033","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: 69

Crowd Evacuation for Indoor Public Spaces Using Coulomb's Law 基于库仑定律的室内公共空间人群疏散

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/340615

Pejman Kamkarian, H. Hexmoor

{"title":"Crowd Evacuation for Indoor Public Spaces Using Coulomb's Law","authors":"Pejman Kamkarian, H. Hexmoor","doi":"10.1155/2012/340615","DOIUrl":"https://doi.org/10.1155/2012/340615","url":null,"abstract":"This paper focuses on designing a tool for guiding a group of people out of a public building when they are faced with dangerous situations that require immediate evacuation. Despite architectural attempts to produce safe floor plans and exit door placements, people will still commit to fatal route decisions. Since they have access to global views, we believe supervisory people in the control room can use our simulation tools to determine the best courses of action for people. Accordingly, supervisors can guide people to safety. In this paper, we combine Coulomb's electrical law, graph theory, and convex and centroid concepts to demonstrate a computer-generated evacuation scenario that divides the environment into different safe boundaries around the locations of each exit door in order to guide people through exit doors safely and in the most expedient time frame. Our mechanism continually updates the safe boundaries at each moment based on the latest location of individuals who are present inside the environment. Guiding people toward exit doors depends on the momentary situations in the environment, which in turn rely on the specifications of each exit door. Our mechanism rapidly adapts to changes in the environment in terms of moving agents and changes in the environmental layout that might be caused by explosions or falling walls.","PeriodicalId":7253,"journal":{"name":"Adv. Artif. Intell.","volume":"36 1","pages":"340615:1-340615:16"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87269678","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: 12

Soccer Ball Detection by Comparing Different Feature Extraction Methodologies 比较不同特征提取方法的足球检测

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/512159

P. Mazzeo, Marco Leo, P. Spagnolo, M. Nitti

引用次数: 21

A Novel Approach to Improve the Performance of Evolutionary Methods for Nonlinear Constrained Optimization 一种改进非线性约束优化进化方法性能的新方法

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/540861

A. Rowhanimanesh, S. Efati

{"title":"A Novel Approach to Improve the Performance of Evolutionary Methods for Nonlinear Constrained Optimization","authors":"A. Rowhanimanesh, S. Efati","doi":"10.1155/2012/540861","DOIUrl":"https://doi.org/10.1155/2012/540861","url":null,"abstract":"Evolutionary methods are well-known techniques for solving nonlinear constrained optimization problems. Due to the exploration power of evolution-based optimizers, population usually converges to a region around global optimum after several generations. Although this convergence can be efficiently used to reduce search space, in most of the existing optimization methods, search is still continued over original space and considerable time is wasted for searching ineffective regions. This paper proposes a simple and general approach based on search space reduction to improve the exploitation power of the existing evolutionary methods without adding any significant computational complexity. After a number of generations when enough exploration is performed, search space is reduced to a small subspace around the best individual, and then search is continued over this reduced space. If the space reduction parameters (red_gen and red factor) are adjusted properly, reduced space will include global optimum. The proposed scheme can help the existing evolutionary methods to find better near-optimal solutions in a shorter time. To demonstrate the power of the new approach, it is applied to a set of benchmark constrained optimization problems and the results are compared with a previous work in the literature.","PeriodicalId":7253,"journal":{"name":"Adv. Artif. Intell.","volume":"2 1","pages":"540861:1-540861:7"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90985604","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: 4

RPCA: A Novel Preprocessing Method for PCA 一种新的PCA预处理方法

Adv. Artif. Intell. Pub Date : 2012-01-01 DOI: 10.1155/2012/484595

S. Yazdani, J. Shanbehzadeh, M. Shalmani

引用次数: 7