发布求助
文献互助 智能选刊 最新文献

International Journal of Advanced Research in Artificial Intelligence最新文献

筛选
英文 中文
The study of prescriptive and descriptive models of decision making 对决策的规定性和描述性模型的研究
International Journal of Advanced Research in Artificial Intelligence Pub Date : 2012-04-01 DOI: 10.14569/IJARAI.2012.010112
Ashok A Divekar, Sunita Bangal, D. Sumangala
{"title":"The study of prescriptive and descriptive models of decision making","authors":"Ashok A Divekar, Sunita Bangal, D. Sumangala","doi":"10.14569/IJARAI.2012.010112","DOIUrl":"https://doi.org/10.14569/IJARAI.2012.010112","url":null,"abstract":"The field of decision making can be loosely divided into two parts: the study of prescriptive models and the study of descriptive models. Prescriptive decision scientists are concerned with prescribing methods for making optimal decisions. Descriptive decision researchers are concerned with the bounded way in which the decisions are actually made. The statistics courses treat risk from a prescriptive, by suggesting rational methods. This paper brings out the work done by many researchers by examining the psychological factors that explain how managers deviate from rationality in responding to uncertainty.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131157408","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
Comparison Between Linear and Nonlinear Models of Mixed Pixels in Remote Sensing Satellite Images Based on Cierniewski Surface BRDF Model by Means of Monte Carlo Ray Tracing Simulation 基于Cierniewski面BRDF模型的遥感卫星图像混合像元线性与非线性模型的比较
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020401
Kohei Arai
{"title":"Comparison Between Linear and Nonlinear Models of Mixed Pixels in Remote Sensing Satellite Images Based on Cierniewski Surface BRDF Model by Means of Monte Carlo Ray Tracing Simulation","authors":"Kohei Arai","doi":"10.14569/IJARAI.2013.020401","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.020401","url":null,"abstract":"Comparative study on linear and nonlinear mixed pixel models of which pixels in remote sensing satellite images is composed with plural ground cover materials mixed together, is conducted for remote sensing satellite image analysis. The mixed pixel models are based on Cierniewski of ground surface reflectance model. The comparative study is conducted by using of Monte Carlo Ray Tracing: MCRT simulations. Through simulation study, the difference between linear and nonlinear mixed pixel models is clarified. Also it is found that the simulation model is validated.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"123 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":"123069929","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
Improved Framework for Breast Cancer Detection using Hybrid Feature Extraction Technique and FFNN 基于混合特征提取技术和FFNN的乳腺癌检测改进框架
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2016.050801
Ibrahim Mohamed Jaber Alamin, W. Jeberson, H. K. Bajaj
{"title":"Improved Framework for Breast Cancer Detection using Hybrid Feature Extraction Technique and FFNN","authors":"Ibrahim Mohamed Jaber Alamin, W. Jeberson, H. K. Bajaj","doi":"10.14569/IJARAI.2016.050801","DOIUrl":"https://doi.org/10.14569/IJARAI.2016.050801","url":null,"abstract":"Breast Cancer early detection using terminologies of image processing is suffered from the less accuracy performance in different automated medical tools. To improve the accuracy, still there are many research studies going on different phases such as segmentation, feature extraction, detection, and classification. The proposed framework is consisting of four main steps such as image preprocessing, image segmentation, feature extraction and finally classification. This paper presenting the hybrid and automated image processing based framework for breast cancer detection. For image preprocessing, both Laplacian and average filtering approach is used for smoothing and noise reduction if any. These operations are performed on 256 x 256 sized gray scale image. Output of preprocessing phase is used at efficient segmentation phase. Algorithm is separately designed for preprocessing step with goal of improving the accuracy. Segmentation method contributed for segmentation is nothing but the improved version of region growing technique. Thus breast image segmentation is done by using proposed modified region growing technique. The modified region growing technique overcoming the limitations of orientation as well as intensity. The next step we proposed is feature extraction, for this framework we have proposed to use combination of different types of features such as texture features, gradient features, 2D-DWT features with higher order statistics (HOS). Such hybrid feature set helps to improve the detection accuracy. For last phase, we proposed to use efficient feed forward neural network (FFNN). The comparative study between existing 2D-DWT feature extraction and proposed HOS-2D-DWT based feature extraction methods is proposed.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"585 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":"122935334","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: 6
Proposal of Tabu Search Algorithm Based on Cuckoo Search 基于布谷鸟搜索的禁忌搜索算法的提出
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2014.030302
A. T. S. Al-Obaidi, A. B. Majeed
{"title":"Proposal of Tabu Search Algorithm Based on Cuckoo Search","authors":"A. T. S. Al-Obaidi, A. B. Majeed","doi":"10.14569/IJARAI.2014.030302","DOIUrl":"https://doi.org/10.14569/IJARAI.2014.030302","url":null,"abstract":"This paper presents a new version of Tabu Search (TS) based on Cuckoo Search (CS) called (Tabu-Cuckoo Search TCS) to reduce the effect of the TS problems. The proposed algorithm provides a more diversity to candidate solutions of TS. Two case studies have been solved using the proposed algorithm, 4-Color Map and Traveling Salesman Problem. The proposed algorithm gives a good result compare with the original, the iteration numbers are less and the local minimum or non-optimal solutions are less.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"5 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":"122490247","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
Seamless Location Measuring System with Wifi Beacon Utilized and GPS Receiver based Systems in Both of Indoor and Outdoor Location Measurements 基于Wifi信标和GPS接收机的无缝定位测量系统在室内和室外的位置测量
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2015.040706
K. Arai
{"title":"Seamless Location Measuring System with Wifi Beacon Utilized and GPS Receiver based Systems in Both of Indoor and Outdoor Location Measurements","authors":"K. Arai","doi":"10.14569/IJARAI.2015.040706","DOIUrl":"https://doi.org/10.14569/IJARAI.2015.040706","url":null,"abstract":"A seamless location measuring system with WiFi beacon utilized and GPS receiver based systems in both of indoor and outdoor location measurements is proposed. Through the experiments in both of indoor and outdoor, it is found that location measurement accuracy is around 2-3 meters for the locations which are designated in both of indoor and outdoor.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"63 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":"122969561","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
Mobile Subscription, Penetration and Coverage Trends in Kenya’s Telecommunication Sector 肯尼亚电信行业的移动订阅、渗透和覆盖趋势
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2015.040101
O. Oteri, L. P. Kibet, N. Edward
{"title":"Mobile Subscription, Penetration and Coverage Trends in Kenya’s Telecommunication Sector","authors":"O. Oteri, L. P. Kibet, N. Edward","doi":"10.14569/IJARAI.2015.040101","DOIUrl":"https://doi.org/10.14569/IJARAI.2015.040101","url":null,"abstract":"Communication is the activity of conveying information through the exchange of thoughts, messages, or information, as by speech, visuals, signals, writing, or behavior. In Kenya the mobile subscription, penetration and coverage have been growing since the first mobile operators started operating in 1999. The current mobile operators in Kenya are given by Safaricom Ltd, Airtel Networks Kenya Ltd, Essar Telecom Kenya Ltd and Telkom Kenya Ltd (TKL-Orange).\u0000This paper discusses the present condition of the telecommunication sector in Kenya and the trends in subscription, penetration and coverage since 1999 when the first two mobile operators (Safaricom Ltd and Celtel now as Airtel Networks Kenya Ltd) started their operations and later the introduction of two other operators Essar Telecom Kenya Ltd and Telkom Kenya Ltd (Orange brand) in 2008. The paper also tries to find out what is likely to happen in a few years to come and provision of a set of recommendations based on the analysis. The study was based on extensive literature review and secondary data sources mainly from Communication Authority of Kenya (CAK). The data obtained was analyzed using Matlab and Microsoft excel to obtain the relevant graphical representations as given in results and discussions.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"5 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":"114576196","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: 40
Temperature Control System Using Fuzzy Logic Technique 基于模糊逻辑技术的温度控制系统
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2012.010305
N. IsizohA., O. OkideS., Anazia A.E, D. OguC.
{"title":"Temperature Control System Using Fuzzy Logic Technique","authors":"N. IsizohA., O. OkideS., Anazia A.E, D. OguC.","doi":"10.14569/IJARAI.2012.010305","DOIUrl":"https://doi.org/10.14569/IJARAI.2012.010305","url":null,"abstract":"Fuzzy logic technique is an innovative technology used in designing solutions for multi-parameter and non-linear control models for the definition of a control strategy. As a result, it delivers solutions faster than the conventional control design techniques. This paper thus presents a fuzzy logic based- temperature control system, which consists of a microcontroller, temperature sensor, and operational amplifier, Analogue to Digital Converter, display interface circuit and output interface circuit. It contains a design approach that uses fuzzy logic technique to achieve a controlled temperature output function.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"25 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":"122060854","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: 42
Some more results on fuzzy k-competition graphs 关于模糊k竞争图的更多结果
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2014.030109
Sovan Samanta, M. Pal, A. Pal
{"title":"Some more results on fuzzy k-competition graphs","authors":"Sovan Samanta, M. Pal, A. Pal","doi":"10.14569/IJARAI.2014.030109","DOIUrl":"https://doi.org/10.14569/IJARAI.2014.030109","url":null,"abstract":"Fuzzy competition graph as the generalization of\u0000competition graph is introduced here. Fuzzy k-competition graph\u0000as a special type of fuzzy competition graph is defined here along\u0000with fuzzy isolated vertices. The fuzzy competition number is\u0000also introduced and investigated several properties. Isomorphism\u0000properties on fuzzy competition graphs are discussed.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"55 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":"122130968","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: 27
Parallelization of 2-D IADE-DY Scheme on Geranium Cadcam Cluster for Heat Equation 热方程Geranium Cadcam簇上二维ide - dy格式的并行化
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020605
S. U. Ewedafe, R. H. Shariffudin
{"title":"Parallelization of 2-D IADE-DY Scheme on Geranium Cadcam Cluster for Heat Equation","authors":"S. U. Ewedafe, R. H. Shariffudin","doi":"10.14569/IJARAI.2013.020605","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.020605","url":null,"abstract":"A parallel implementation of the Iterative Alternating Direction Explicit method by D’Yakonov (IADE-DY) for solving 2-D heat equation on a distributed system of Geranium Cadcam cluster (GCC) using the Message Passing Interface (MPI) is presented. The implementation of the scheduling of n tri-diagonal system of equations with the above method was used to show improvement on speedup, effectiveness, and efficiency. The Master/Worker paradigm and Single Program Multiple Data (SPMD) model is employed to manage the whole computation based on the use of domain decomposition. The completion of the execution can need task recovery and favorable configuration. The above mentioned details consist of a main report about the numerical validation of the parallelization through simulation to demonstrate the proposed method effectiveness on the cluster system. It was found that the rate of convergence decreases as the number of processors increases. The result of this paper suggests that the 2-D IADE-DY scheme is a good approach to solving problems, particularly when it is simulation with more processors.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"41 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":"129054885","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
Content Based Image Retrieval by using Multi Layer Centroid Contour Distance 基于内容的多层质心轮廓距离图像检索
International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020303
K. Arai, C. Rahmad
{"title":"Content Based Image Retrieval by using Multi Layer Centroid Contour Distance","authors":"K. Arai, C. Rahmad","doi":"10.14569/IJARAI.2013.020303","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.020303","url":null,"abstract":"In this paper we present a new approach to measuring similarity between two shape of object. In conventional method, centroid contour distance (CCD) is formed by measuring distance between centroid (center) and boundary of object, but this method cannot capture if an object have multiple boundary in the same angle. We develop a novel approach feature shape by measuring distance between centroid (center) and boundary of object that can capture multiple boundaries in the same angle or multi-layer centroid contour distance (MLCCD). The experiment result on simulation dataset and plankton dataset show that the proposed method (MLCCD) better than the conventional method (CCD).","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":"124755271","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: 10
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