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International Journal of Advanced Research in Artificial Intelligence最新文献

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A Directional Audible Sound System using Ultrasonic Transducers 利用超声波换能器的定向可听声系统
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2015.040903
Wen-Kung Tseng
{"title":"A Directional Audible Sound System using Ultrasonic Transducers","authors":"Wen-Kung Tseng","doi":"10.14569/IJARAI.2015.040903","DOIUrl":"https://doi.org/10.14569/IJARAI.2015.040903","url":null,"abstract":"In general the audible sound has the characteristics of spreading, however the ultrasound is directional. This study used amplitude-modulating technique for an array of 8 ultrasonic transducers to produce directional audible sound beam. In this study sound field distribution for the directional audible sound beam has been investigated. The effect of different weightings varied with different frequency for the transducers on the directivity of the sound beam has also been evaluated. An H (infinity) optimization method was used to calculate the optimal weightings of the transducers for better directivity of the sound beam. Different optimal weightings also added to the carrier and sideband frequencies to control the difference frequency’s beamwidth and sidelobe amplitude. The results showed that the beam width can be controlled and good directivity of the sound beam can be obtained by using the H_8 optimization method.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121945764","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: 5
An interactive Tool for Writer Identification based on Offline Text Dependent Approach 基于离线文本依赖方法的作者识别交互式工具
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020105
S. K, Vijaya Ms
{"title":"An interactive Tool for Writer Identification based on Offline Text Dependent Approach","authors":"S. K, Vijaya Ms","doi":"10.14569/IJARAI.2013.020105","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.020105","url":null,"abstract":"Writer identification is the process of identifying the writer of the document based on their handwriting. The growth of computational engineering, artificial intelligence and pattern recognition fields owes greatly to one of the highly challenged problem of handwriting identification. This paper proposes the computational intelligence technique to develop discriminative model for writer identification based on handwritten documents. Scanned images of handwritten documents are segmented into words and these words are further segmented into characters for word level and character level writer identification. A set of features are extracted from the segmented words and characters. Feature vectors are trained using support vector machine and obtained 94.27% accuracy for word level, 90.10% for character level. An interactive tool has been developed based on the word level writer identification model.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114976246","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: 8
Sensitivity Analysis of Aerosol Parameter Estimations with Measured Solar Direct and Diffuse Irradiance 测量太阳直接和漫射辐照度估算气溶胶参数的敏感性分析
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2016.050803
K. Arai
{"title":"Sensitivity Analysis of Aerosol Parameter Estimations with Measured Solar Direct and Diffuse Irradiance","authors":"K. Arai","doi":"10.14569/IJARAI.2016.050803","DOIUrl":"https://doi.org/10.14569/IJARAI.2016.050803","url":null,"abstract":"Sensitivity analysis of aerosol parameter (refractive index which consists of real and imaginary parts, size distribution which is represented by Junge parameter) estimations with measured solar direct and diffuse irradiance is made. Through experiments with the measured solar direct and diffuse irradiance, it is found that the results from the sensitivity analysis is valid and adequate.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123947352","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
Packrat Parsing: A Literature Review 包装解析:文献综述
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2016.050305
M. M. Goswami, M. Raghuwanshi, L. Malik
{"title":"Packrat Parsing: A Literature Review","authors":"M. M. Goswami, M. Raghuwanshi, L. Malik","doi":"10.14569/IJARAI.2016.050305","DOIUrl":"https://doi.org/10.14569/IJARAI.2016.050305","url":null,"abstract":"Packrat parsing is recently introduced technique based upon expression grammar. This parsing approach uses memoization and ensures a guarantee of linear parse time by avoiding redundant function calls by using memoization. This paper studies the progress made in packrat parsing till date and discusses the approaches to tackle this parsing process efficiently. In addition to this, other issues such as left recursion, error reporting also seems to be associated with this type of parsing approach and discussed here the efforts attempted by researchers to address this issue. This paper, therefore, presents a state of the art review of packrat parsing so that researchers can use this for further development of technology in an efficient manner.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124121085","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
Voice Recognition Method with Mouth Movement Videos Based on Forward and Backward Optical Flow 基于前后向光流的口部运动视频语音识别方法
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020208
K. Arai
{"title":"Voice Recognition Method with Mouth Movement Videos Based on Forward and Backward Optical Flow","authors":"K. Arai","doi":"10.14569/IJARAI.2013.020208","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.020208","url":null,"abstract":"Lip reading method with mouth movement videos based on backward optical flow is proposed. Through experiments with 10 of mouth movement videos, it is found that the proposed lip reading method is superior to the conventional optical flow based method.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126270713","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
Attribute Reduction for Generalized Decision Systems 广义决策系统的属性约简
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2015.040303
Bi-Jun Ren, Yanqiu Fu, K. Qin
{"title":"Attribute Reduction for Generalized Decision Systems","authors":"Bi-Jun Ren, Yanqiu Fu, K. Qin","doi":"10.14569/IJARAI.2015.040303","DOIUrl":"https://doi.org/10.14569/IJARAI.2015.040303","url":null,"abstract":"Attribute reduction of information system is one of the most important applications of rough set theory. This paper focuses on generalized decision system and aims at studying positive region reduction and distribution reduction based on generalized indiscernibility relation. The judgment theorems for attribute reductions and attribute reduction approaches are presented. Our approaches improved the existed discernibility matrix and discernibility conditions. Furthermore, the reduction algorithms based on discernible degree are proposed.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957949","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
Relative Motion of Formation Flying with Elliptical Reference Orbit 椭圆参考轨道编队飞行的相对运动
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020613
H. Dwidar, A. Owis
{"title":"Relative Motion of Formation Flying with Elliptical Reference Orbit","authors":"H. Dwidar, A. Owis","doi":"10.14569/IJARAI.2013.020613","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.020613","url":null,"abstract":"In this paper we present the optimal control of the\u0000relative motion of formation flying consisting of two spacecrafts.\u0000One of the spacecraft is considered as the chief, orbiting the\u0000Earth on a Highly Elliptical Orbit(HEO), and the other ,orbiting\u0000the chief, is considered as the deputy. The Keplerian relative\u0000dyanmics of the formation as well as the the second zonal\u0000hamonics of the Earth’s gravitational field (J2) are studied.\u0000To study these perturbative effect the linearized true anomaly\u0000varying Tschauner-Hempel equations are augmented to include\u0000the effect of J2. We solve the nonlinear feedback optimal control\u0000of the relative motion using the state dependent Riccati Equation(\u0000SDRE). The results are validated through a nummerical\u0000example.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129395358","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
Contradiction Resolution of Competitive and Input Neurons to Improve Prediction and Visualization Performance 竞争神经元和输入神经元的矛盾解决以提高预测和可视化性能
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.021206
R. Kamimura
{"title":"Contradiction Resolution of Competitive and Input Neurons to Improve Prediction and Visualization Performance","authors":"R. Kamimura","doi":"10.14569/IJARAI.2013.021206","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.021206","url":null,"abstract":"In this paper, we propose a new type of informationtheoretic\u0000method to resolve the contradiction observed in competitive\u0000and input neurons. For competitive neurons, contradiction\u0000between self-evaluation (individuality) and outer-evaluation (collectivity)\u0000exists, which is reduced to realize the self-organizing\u0000maps. For input neurons, there exists contradiction between the\u0000use of many and few input neurons. We try to realize a situation\u0000where as many input neurons as possible are used, and at the\u0000same time, another where only a few input neurons are used. This\u0000contradictory situation can be resolved by viewing input neurons\u0000on different levels, namely, the individual and average level. We\u0000applied contradiction resolution to two data sets, namely, the\u0000Japanese short term economy survey (Tankan) and Dollar-Yen\u0000exchange rates. In both data sets, we succeeded in improving\u0000the prediction performance. Many input neurons were used on\u0000average, but a few input neurons were only taken for each\u0000input pattern. In addition, connection weights were condensed\u0000into a small number of distinct groups for better prediction and\u0000interpretation performance.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129624112","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
Evolving Software Effort Estimation Models Using Multigene Symbolic Regression Genetic Programming 基于多基因符号回归遗传规划的软件工作量估算模型
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.021207
S. Aljahdali, A. Sheta
{"title":"Evolving Software Effort Estimation Models Using Multigene Symbolic Regression Genetic Programming","authors":"S. Aljahdali, A. Sheta","doi":"10.14569/IJARAI.2013.021207","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.021207","url":null,"abstract":"Software has played an essential role in engineering,\u0000economic development, stock market growth and military\u0000applications. Mature software industry count on highly predictive\u0000software effort estimation models. Correct estimation of software\u0000effort lead to correct estimation of budget and development time.\u0000It also allows companies to develop appropriate time plan for\u0000marketing campaign. Now a day it became a great challenge to get\u0000these estimates due to the increasing number of attributes which\u0000affect the software development life cycle. Software cost estimation\u0000models should be able to provide sufficient confidence on its\u0000prediction capabilities. Recently, Computational Intelligence (CI)\u0000paradigms were explored to handle the software effort estimation\u0000problem with promising results. In this paper we evolve two new\u0000models for software effort estimation using Multigene Symbolic\u0000Regression Genetic Programming (GP). One model utilizes the\u0000Source Line Of Code (SLOC) as input variable to estimate the\u0000Effort (E); while the second model utilize the Inputs, Outputs,\u0000Files, and User Inquiries to estimate the Function Point (FP).\u0000The proposed GP models show better estimation capabilities compared\u0000to other reported models in the literature. The validation\u0000results are accepted based Albrecht data set.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128265531","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
A Knowledge-Based System Approach for Extracting Abstractions from Service Oriented Architecture Artifacts 从面向服务的体系结构构件中提取抽象的基于知识的系统方法
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020307
George Goehring, T. Reichherzer, E. El-Sheikh, D. Snider, N. Wilde, S. Bagui, John W. Coffey, Laura J. White
{"title":"A Knowledge-Based System Approach for Extracting Abstractions from Service Oriented Architecture Artifacts","authors":"George Goehring, T. Reichherzer, E. El-Sheikh, D. Snider, N. Wilde, S. Bagui, John W. Coffey, Laura J. White","doi":"10.14569/IJARAI.2013.020307","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.020307","url":null,"abstract":"Rule-based methods have traditionally been applied to develop knowledge-based systems that replicate expert performance on a deep but narrow problem domain. Knowledge engineers capture expert knowledge and encode it as a set of rules for automating the expert’s reasoning process to solve problems in a variety of domains. We describe the development of a knowledge-based system approach to enhance program comprehension of Service Oriented Architecture (SOA) software. Our approach uses rule-based methods to automate the analysis of the set of artifacts involved in building and deploying a SOA composite application. The rules codify expert knowledge to abstract information from these artifacts to facilitate program comprehension and thus assist Software Engineers as they perform system maintenance activities. A main advantage of the knowledge-based approach is its adaptability to the heterogeneous and dynamically evolving nature of SOA environments.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131305272","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
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