International Journal of Artificial Intelligence Research最新文献_第10页

Design Of Push-Up Detector Applications Using Quality Function Development And Anthropometry For Movement Error Detection 基于质量函数开发和人体测量的俯卧撑检测应用设计

International Journal of Artificial Intelligence Research Pub Date : 2018-12-07 DOI: 10.29099/ijair.v3i1.69

A. Muzakir, Christofora Desi Kusmindari

引用次数: 3

Machine Learning Based Prediction versus Human-as-a-Security-Sensor 基于机器学习的预测与人类作为安全传感器

International Journal of Artificial Intelligence Research Pub Date : 2018-12-07 DOI: 10.29099/IJAIR.V3I1.83

S. Haque

引用次数: 0

The Implementation of AHP for Determining Dominant Criteria in Higher Education Competitiveness Development Strategy Based on Information Technology 基于信息技术的高等教育竞争力发展战略优势标准确定的AHP应用

International Journal of Artificial Intelligence Research Pub Date : 2018-12-07 DOI: 10.29099/IJAIR.V3I1.85

Yulmaini Yulmaini, Anuar Sanusi, M. A. E. Yusendra

{"title":"The Implementation of AHP for Determining Dominant Criteria in Higher Education Competitiveness Development Strategy Based on Information Technology","authors":"Yulmaini Yulmaini, Anuar Sanusi, M. A. E. Yusendra","doi":"10.29099/IJAIR.V3I1.85","DOIUrl":"https://doi.org/10.29099/IJAIR.V3I1.85","url":null,"abstract":"The existence of Higher Education has a huge role in nation and state’s life through tri dharma of Higher Education named education, research and community service. Higher Education can produce economic innovations based on knowledge so that, it will increase productivity and nation competitiveness. Higher Education must have strategies that will be carried out, therefore they are able to compete with other higher education according to stakeholder needs. The purposes of this research are to analyze 2 (two) models of information technology relations in the higher education competitiveness development strategy determining the most dominant criteria according to the higher education development direction (Relevance, Academic Atmosphere, Internal Management, Sustainability, Efficiency and Productivity, Access and Equit and Leadership). The method of this reserach is AHP method in wich the data are collected through questionnaires to respondents in collage. The criteria of this research are internal management & organization, academic atmosphere and university competitive sustainability. The results of this research are the information technology relations model with internal management, and the relation model between internal management and efficiency & productivities, and also the most dominant criteria in the higher education competitiveness development strategy are the criteria of Academic Atmosphere, Efficiency and Productivity.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130745562","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

Distance and Fuzzy Classifiers Alliance: The Solution to Off-line Arabic Signature Verification System for Forensic Science 距离与模糊分类器联盟:法医学离线阿拉伯语签名验证系统的解决方案

International Journal of Artificial Intelligence Research Pub Date : 2018-12-03 DOI: 10.29099/IJAIR.V2I2.66

S. Darwish, Zainab H. Noori

{"title":"Distance and Fuzzy Classifiers Alliance: The Solution to Off-line Arabic Signature Verification System for Forensic Science","authors":"S. Darwish, Zainab H. Noori","doi":"10.29099/IJAIR.V2I2.66","DOIUrl":"https://doi.org/10.29099/IJAIR.V2I2.66","url":null,"abstract":"Signature of a person is one of the most popular and legally accepted behavioral biometrics that provides secure means for verification and personal identification in many applications such as financial, commercial and legal transactions. The objective of the signature verification system is to classify between genuine and forgery that is often associated with intrapersonal and interpersonal variability. Unlike other languages, Arabic has unique features; it contains diacritics, ligatures, and overlapping. Because of lacking any form of dynamic information during the Arabic signature writing process, it will be more difficult to obtain higher verification accuracy. This paper addresses the above difficulty by introducing a novel Off-Line Arabic signature verification algorithm. Different from state-of-the-art works that adopt one-level of verification or multiple classifiers based on statistical learning theory; this work employs two-level of fuzzy set related verification. The level one verification depends on finding the total difference between the features extracted from the test signature and the mean values of each corresponding features in the training signatures (owning the same signature). Whereas, the level two verification relies on the output of the fuzzy logic module depending on the membership functions that has been created from the signature features in the training dataset for a specific signer. It is concluded from the experimental results that the verification system performs well and has the ability to reduce both False Acceptance Rate (FAR) and False Rejection Rate (FRR).","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131617181","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

Solution Search Simulation The Shortest Step On Chess Horse Using Breadth-First Search Algorithm 基于广度优先搜索算法的棋马最短步解搜索模拟

International Journal of Artificial Intelligence Research Pub Date : 2018-08-03 DOI: 10.29099/ijair.v2i2.58

A. Bastian, Rezha Nugraha

{"title":"Solution Search Simulation The Shortest Step On Chess Horse Using Breadth-First Search Algorithm","authors":"A. Bastian, Rezha Nugraha","doi":"10.29099/ijair.v2i2.58","DOIUrl":"https://doi.org/10.29099/ijair.v2i2.58","url":null,"abstract":"Horse seed in the chess board movement resembles the letter L. The chess pieces are one of a very hard-driven beans and seeds are often also the most dangerous if not carefully considered every movement. Simulation of this problem provides a chess board size n x n. Target (goal) of this problem is to move a horse beans of a certain position on a chess board position to the desired destination with the shortest movement simulates all possible solutions to get to the goal position. This problem is also one of the classic problems in artificial intelligence (AI). Settlement of this problem can use the help system and tree production tracking.Therefore, designed a simulation applications by utilizing several techniques of simulation programming and Breadth-First Search method. With this method, all nodes will be traced and the nodes at level n will be visited first before visiting the nodes at level n + 1. The purpose of this study is to design a software that is able to find all the solutions for the shortest movement toward the goal position by using the system of production and tracking tree.Results from this paper is that the software is able to find all solutions shortest movement a horse beans from the initial position to the goal position and displays the simulation of the movement of the horse in the chess board.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124375536","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

APPLICATION OF BACKPROPAGATION NEURAL NETWORKS IN PREDICTING RAINFALL DATA IN AMBON CITY 反向传播神经网络在安阳市降水预报中的应用

International Journal of Artificial Intelligence Research Pub Date : 2018-08-03 DOI: 10.29099/IJAIR.V2I2.59

Y. A. Lesnussa, C. G. Mustamu, F. K. Lembang, M. W. Talakua

引用次数: 15

Bio-inspired Expert System based on Genetic Algorithm for Printer Identification in Forensic Science 基于遗传算法的法医学打印机识别仿生专家系统

International Journal of Artificial Intelligence Research Pub Date : 2018-08-03 DOI: 10.29099/IJAIR.V2I2.67

S. Darwish, Hany M. Elgohary

{"title":"Bio-inspired Expert System based on Genetic Algorithm for Printer Identification in Forensic Science","authors":"S. Darwish, Hany M. Elgohary","doi":"10.29099/IJAIR.V2I2.67","DOIUrl":"https://doi.org/10.29099/IJAIR.V2I2.67","url":null,"abstract":"Printer identification models are provided for the goal of distinguishing the printer that produced a suspicious imprinted document. Source identification of a published document can easily be a significant procedure intended for the forensic science. The arising problem is that the extraction of many features of the printed document for printer identification sometimes increases time and reduces the classification accuracy since a lot of the document features may come to be repetitive and non-beneficial. Distinct combinatorial collection of features will need to be acquired in order to preserve the most effective fusion to accomplish the maximum accuracy. This paper presents an intelligent machine learning algorithm for printer identification that adopts both of texture features formulated from gray level co-occurrence matrix of the printed letter ''WOO'' and genetic heuristic search to select the optimal reduced feature set. This integration aims to achieve high classification accuracy based on small group of discriminative features. For classification, the system utilizes k-nearest neighbors (KNN) to recognize the source model of the printer for its simplicity. Experimental results validate that the suggested system has high taxonomy accuracy and requires less computation time.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125025972","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

Quantum Inspired Genetic Programming Model to Predict Toxicity Degree for Chemical Compounds 基于量子启发的遗传规划模型预测化合物毒性程度

International Journal of Artificial Intelligence Research Pub Date : 2018-06-07 DOI: 10.29099/IJAIR.V2I2.64

S. Darwish

{"title":"Quantum Inspired Genetic Programming Model to Predict Toxicity Degree for Chemical Compounds","authors":"S. Darwish","doi":"10.29099/IJAIR.V2I2.64","DOIUrl":"https://doi.org/10.29099/IJAIR.V2I2.64","url":null,"abstract":"Cheminformatics plays a vital role to maintain a large amount of chemical data. A reliable prediction of toxic effects of chemicals in living systems is highly desirable in domains such as cosmetics, drug design, food safety, and manufacturing chemical compounds. Toxicity prediction topic requires several new approaches for knowledge discovery from data to paradigm composite associations between the modules of the chemical compound; such techniques need more computational cost as the number of chemical compounds increases. State-of-the-art prediction methods such as neural network and multi-layer regression that requires either tuning parameters or complex transformations of predictor or outcome variables are not achieving high accuracy results. This paper proposes a Quantum Inspired Genetic Programming “QIGP” model to improve the prediction accuracy. Genetic Programming is utilized to give a linear equation for calculating toxicity degree more accurately. Quantum computing is employed to improve the selection of the best-of-run individuals and handles parsimony pressure to reduce the complexity of the solutions. The results of the internal validation analysis indicated that the QIGP model has the better goodness of fit statistics and significantly outperforms the Neural Network model.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124771664","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

An Embedded Fuzzy Logic Based Application for Density Traffic Control System 嵌入式模糊逻辑在高密度交通控制系统中的应用

International Journal of Artificial Intelligence Research Pub Date : 2018-06-01 DOI: 10.29099/IJAIR.V2I1.44

Ajao Lukman Adewale, Ajao Falilat Jumoke, M. Adegboye, Abideen A. Ismail

{"title":"An Embedded Fuzzy Logic Based Application for Density Traffic Control System","authors":"Ajao Lukman Adewale, Ajao Falilat Jumoke, M. Adegboye, Abideen A. Ismail","doi":"10.29099/IJAIR.V2I1.44","DOIUrl":"https://doi.org/10.29099/IJAIR.V2I1.44","url":null,"abstract":"The control of density traffic at cross junction road usually manned by human efforts or implementation of automatic traffic light system. This system seem and proves to be inefficient with some challenges. The major constraints of this traffic control are as a result of the inability of most traffic control systems to assign appropriate waiting time for vehicles based on the lane density. Also with little or no consideration for pedestrians, emergency and security agents priorities. In view of this, an intelligent density traffic control system using (fuzzy logic) which is capable of providing priority to the road users based on the density and emergency situations was developed and presented in this paper. This system will obtain the approximate amount of vehicle and presence of pedestrians respectfully on each lane with help of Infrared Sensors (IR) and siren detection system for emergency and security road users. The working principle of this system depending on the logic inputs rules given into the processing unit by the (sensors, S1 and S2) which helps the system to generates a timing sequence that best suit the number of vehicles and pedestrians available on the lane at point in time.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126231446","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: 14

Computer Vision and Image Processing: A Paper Review 计算机视觉与图像处理:综述

International Journal of Artificial Intelligence Research Pub Date : 2018-06-01 DOI: 10.29099/IJAIR.V2I1.42

Victor Wiley, Thomas Lucas

引用次数: 110