International Journal of Advanced Research in Artificial Intelligence最新文献_第6页

Image Clustering Method Based on Self Organization Mapping: SOM Derived Density Maps and Its Application for Landsat Thematic Mapper Image 基于自组织映射的图像聚类方法:SOM衍生密度图及其在Landsat专题制图器图像中的应用

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020504

K. Arai

引用次数: 7

Prediction of New Student Numbers using Least Square Method 用最小二乘法预测新生人数

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2015.041105

D. Mulyani

{"title":"Prediction of New Student Numbers using Least Square Method","authors":"D. Mulyani","doi":"10.14569/IJARAI.2015.041105","DOIUrl":"https://doi.org/10.14569/IJARAI.2015.041105","url":null,"abstract":"STMIK BANJARBARU has acquired less number of new students for the last three years compared to the previous years. The numbers of new student acquisition are not always the same every year. The unstable number of new student acquisition made the difficulty in designing classes, lecturers, and other charges. Knowing the prediction number of new student acquisition for the coming period is very important as a basis for further decision making. Least Square method as the method of calculation to determine the scores prediction is often used to have a prediction, because the calculation is more accurate then moving average.\u0000The study was aimed to help the private colleges or universities, especially STMIK BANJARBARU, in predicting the number of new students who are accepted, so it will be easier to make decisions in determining the next steps and estimating the financial matters.\u0000The prediction of the number of new student acquisition will facilitates STMIK BANJARBARU to determine the number of classes, scheduling, etc.\u0000From the results of the study, it can be concluded that prediction analysis by using Least Square Method can be used to predict the number of new students acquisition for the coming period based on the student data in the previous years, because it produces valid results or closer to the truth. From the test results in the last 3 years, the validity shows 97.8%, so it can be said valid.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"74 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":"130905239","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

Mobile Learning-system usage: Scale development and empirical tests 移动学习系统的使用:规模开发和实证检验

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2014.031105

S. Alharbi, Steve Drew

{"title":"Mobile Learning-system usage: Scale development and empirical tests","authors":"S. Alharbi, Steve Drew","doi":"10.14569/IJARAI.2014.031105","DOIUrl":"https://doi.org/10.14569/IJARAI.2014.031105","url":null,"abstract":"Mobile technologies have changed the shape of learning for learners, society, and education providers. Consequently, mobile learning has become a core component in modern education. Nevertheless, introducing mobile learning systems does not automatically guarantee that learners will develop a positive behavioural intention to use it and therefore use it. Thus, acceptance-of-technology and system-success studies have increased. As yet, however, much of the research regarding understanding students’ behavioural intention to use mobile learning systems seems to suffer from several shortcomings. On top of that, there is no common cognitive theoretical foundation. This study introduces a theoretical framework that combines the Unified Theory of Acceptance and Use of Technology (UTAUT) and Information System (IS) Success Model. This integration resulted in three success measures and two acceptance constructs. The success measures included the following: a) information quality, b) system quality, and c) user satisfaction; whilst the following were the acceptance measures: a) effort expectancy, b) performance expectancy, and c) social influence. Further, this study introduces lecture attitude as a new construct that is believed to moderate students’ behavioural intention. The relationships between the different factors form the research hypotheses.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"29 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":"130253990","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: 18

Aerosol Parameter Estimation Method Utilizing Solar Direct and Diffuse Irradiance Measuring Instrument without Sun Tracking Mechanics 利用太阳直接和漫射辐照度测量仪估算气溶胶参数的方法

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2016.051102

K. Arai

{"title":"Aerosol Parameter Estimation Method Utilizing Solar Direct and Diffuse Irradiance Measuring Instrument without Sun Tracking Mechanics","authors":"K. Arai","doi":"10.14569/IJARAI.2016.051102","DOIUrl":"https://doi.org/10.14569/IJARAI.2016.051102","url":null,"abstract":"Estimation method of aerosol parameter by means of solar direct and diffuse irradiance measurements with the proposed instrument of fiber-ball radiometer without sun tracking mechanics is proposed. Sky-radiometer and aureole-meter is well known instrument which allows measurements of solar direct and diffuse irradiance for estimation of aerosol parameter. The proposed fiber-ball radiometer also allows solar direct and diffuse irradiance measurements and is comparatively light as well as is composed without any mechanics so that it is portable and is enable to bring anywhere you want including test sites for field campaigns. Meanwhile, it is not always that the fiber-ball instrument points to the sun due to the error of the sun ephemeris calculations as well as sun track do not match to the actual one. Influence due to pointing error on aerosol parameter estimation error is clarified. Possible maximum pointing error may cause some error on aerosol parameter estimation. Experimental results show that 0.43%, 42.23%, 2.12% root mean square errors are suspected for real and imaginary part of refractive index and Junge parameter as of 1.747, 0.0056 and 3.0 of typical case of atmosphere.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"15 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":"127846842","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

Lung Cancer Detection on CT Scan Images: A Review on the Analysis Techniques 肺癌CT扫描图像检测分析技术综述

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2015.040406

H. Mahersia, M. Zaroug, L. Gabralla

引用次数: 22

A Mechanism of Generating Joint Plans for Self-interested Agents, and by the Agents 一种自利主体和各主体共同计划的生成机制

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2012.010808

Wei Huang

引用次数: 0

Recovering Method of Missing Data Based on Proposed Modified Kalman Filter When Time Series of Mean Data is Known 均值时间序列已知时，基于改进卡尔曼滤波的缺失数据恢复方法

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.020704

K. Arai

{"title":"Recovering Method of Missing Data Based on Proposed Modified Kalman Filter When Time Series of Mean Data is Known","authors":"K. Arai","doi":"10.14569/IJARAI.2013.020704","DOIUrl":"https://doi.org/10.14569/IJARAI.2013.020704","url":null,"abstract":"Recovering method of missing data based on the proposed modified Kalman filter for the case that the time series of mean data is know is proposed. There are some cases of which although a portion of data is missing, mean value of the time series of data is known. For instance, although coarse resolution of imagery data are acquired every day, fine resolution of imagery data are missing sometimes. In other words, coarse resolution of imaging sensor has wide swath width while fine resolution of imaging sensor has narrow swath, in general. Therefore, coarse resolution of sensor data can be acquired every day while fine resolution of sensor data can be acquired not so frequently. It would be nice to become able to create frequently acquired fine resolution of sensor data (every day) using the previously acquired fine resolution of sensor data together with the coarse resolution of sensor data. The proposed method allows creation of fine resolution sensor data with the aforementioned method based on a modified Kalman filter. As an example of the proposed method, prediction of missing ASTER/VNIR data based on Kalman filter using simultaneously acquired MODIS data as a mean value of time series data in revision of filter status is attempted together with a comparative study of prediction errors for both conventional Kalman filter and the proposed modified Kalman filter which utilizes mean value of time series data derived from the other sources. Experimental data shows that 4 to 111% of prediction error reduction can be achieved by the proposed modified Kalman filter in comparison to the conventional Kalman filter. It is found that the reduction rate depends on the mean value accuracy of time series data derived from the other data sources. The experimental results with remote sensing satellite imagery data show a validity of the proposed method","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"15 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":"123079076","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

Analysis and Prediction of Crimes by Clustering and Classification 基于聚类与分类的犯罪分析与预测

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2015.040802

Rasoul Kiani, Siamak Mahdavi, Amin Keshavarzi

引用次数: 65

Migration Dynamics in Artificial Agent Societies 人工Agent社会中的迁移动态

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2014.030208

Harjot Kaur, K. Kahlon, R. Virk

{"title":"Migration Dynamics in Artificial Agent Societies","authors":"Harjot Kaur, K. Kahlon, R. Virk","doi":"10.14569/IJARAI.2014.030208","DOIUrl":"https://doi.org/10.14569/IJARAI.2014.030208","url":null,"abstract":"An Artificial Agent Society can be defined as a collection of agents interacting with each other for some purpose and/or inhabiting a specific locality, possibly in accordance to some common norms/rules. These societies are analogous to human and ecological societies, and are an expanding and emerging field in research about social systems. Social networks, electronic markets and disaster management organizations can be viewed as such artificial (open) agent societies and can be best understood as computational societies. Members of such artificial agent societies are heterogeneous intelligent software agents which are operating locally and cooperating and coordinating with each other in order to achieve goals of an agent society. These artificial agent societies have some kind of dynamics existing in them in terms of dynamics of Agent Migration, Role-Assignment, Norm- Emergence, Security and Agent-Interaction. In this paper, we have described the dynamics of agent migration process, starting from the various types of agent migration, causes or reasons for agent migration, consequences of agent migration, and an agent migration framework to model the its behavior for migration of agents between societies.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"384 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114092840","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

Comparison Among Cross, Onboard and Vicarious Calibrations for Terra/ASTER/VNIR Terra/ASTER/VNIR交叉校准、机载校准和替代校准的比较

International Journal of Advanced Research in Artificial Intelligence Pub Date : 1900-01-01 DOI: 10.14569/IJARAI.2013.021003

K. Arai

引用次数: 2