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Journal of Intelligent Systems with Applications最新文献

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Mobile Based Traffic Offences Report System 移动交通违例报告系统
Journal of Intelligent Systems with Applications Pub Date : 2019-05-02 DOI: 10.54856/jiswa.201905051
Alperen Aksoy, Celal Ozturk
{"title":"Mobile Based Traffic Offences Report System","authors":"Alperen Aksoy, Celal Ozturk","doi":"10.54856/jiswa.201905051","DOIUrl":"https://doi.org/10.54856/jiswa.201905051","url":null,"abstract":"Nowadays, interactive systems are using most of the government institutions very actively. Especially, branches such as medical and tax payment are using this systems successfully but we realize that so far only few people interest develop mobile application for security branch and this factor has been the biggest factor in improving our project. This project consist of two modules. In e-Report module, citizens can login with their Turkish Republic identity number and e-Government system password. After login they can make a report for crimes. For crime which can be provable with photograph(ex. wrong parking), they can making report by only taking photo via our application is enough. Date, time and location information are getting automatically from their device and our server. In e-Approve module, only police officers can login with their enrollment number and password. After login they assess notices from coming e-Notice module and approve punishment or reject. This module also have some statistical data(ex. The most sensitive city etc.) and easily reachable when they want.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123334555","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
The Implementation of Classification and Clustering Techniques on Churn Analysis 客户流失分析中分类聚类技术的实现
Journal of Intelligent Systems with Applications Pub Date : 2019-05-02 DOI: 10.54856/jiswa.201905065
A. Elbir, Hamza Osman Ilhan, Mehmet Aydin, Yunus Emre Demirbulut
{"title":"The Implementation of Classification and Clustering Techniques on Churn Analysis","authors":"A. Elbir, Hamza Osman Ilhan, Mehmet Aydin, Yunus Emre Demirbulut","doi":"10.54856/jiswa.201905065","DOIUrl":"https://doi.org/10.54856/jiswa.201905065","url":null,"abstract":"One of the most important problems of telecommunication companies is the potential transfer of customers between the firms. In order to avoid this problem, it is very important to identify customers who are likely to leave. In this study, the performance of the classification and the clustering algorithms in machine learning techniques has been evaluated and compared on the analysis of potential customer trends, which have been reported as churn analysis. K nearest neighbors, decision trees, random forests, support vector machines and naive bayes methods were tested in scope of classification idea. Additionally, K-Means and hierarchical clustering methods were tested. The performances of the methods have been evaluated according to the accuracy, precision, sensitivity and F-measure performance metrics.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"9 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113979490","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
CONTOPT-JS: Metaheuristic Algorithms based JavaScript Software Library for Continuous Optimization Problems CONTOPT-JS:基于元启发式算法的连续优化问题JavaScript软件库
Journal of Intelligent Systems with Applications Pub Date : 2019-05-02 DOI: 10.54856/jiswa.201905050
O. Gokalp, Aybars Uğur, Sema Bodur
{"title":"CONTOPT-JS: Metaheuristic Algorithms based JavaScript Software Library for Continuous Optimization Problems","authors":"O. Gokalp, Aybars Uğur, Sema Bodur","doi":"10.54856/jiswa.201905050","DOIUrl":"https://doi.org/10.54856/jiswa.201905050","url":null,"abstract":"In this study, a software library called CONTOPT-JS has been developed for solving continuous optimization problems. By using this JavaScript language based library, fully client-side web applications can be developed. In the library, Artificial Bee Colony, Differential Evolution, Particle Swarm Optimization and Evolution Strategies metaheuristics exist and new algorithms and new problems can be added because of its modular design. Using the CONTOPT-JS library, experimental works have been conducted on some standard optimization benchmark functions and Sensor Deployment application area and the obtained results have been presented.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122394931","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
Feature Extraction of ECG Signals using NI LabVIEW Biomedical Workbench and Classification with Artificial Neural Network 基于NI LabVIEW生物医学工作台的心电信号特征提取及人工神经网络分类
Journal of Intelligent Systems with Applications Pub Date : 2019-05-02 DOI: 10.54856/jiswa.201905056
Ebru Sayilgan, Savaş Şahin
{"title":"Feature Extraction of ECG Signals using NI LabVIEW Biomedical Workbench and Classification with Artificial Neural Network","authors":"Ebru Sayilgan, Savaş Şahin","doi":"10.54856/jiswa.201905056","DOIUrl":"https://doi.org/10.54856/jiswa.201905056","url":null,"abstract":"In this study, a data set containing normal and different heart beat types recorded by the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) was used for the detection of cardiac dysfunctions. In this data set, features were extracted using the LabVIEW Biomedical Workbench from the normal heartbeat and six different arrhythmia types. Obtained signals were evaluated by using Artificial Neural Network multiple classification method. Classification performances were compared before extracting the feature on the same data set. Classifier performances were evaluated by accuracy, sensitivity and selectivity performances criteria of classification. In the classifier performances, the \"Normal\" beat rate was found to be 99% accurate with the highest success compared to other arrhythmia types. As a result, both analysis methods are successful, but when the LabVIEW Biomedical Workbench is used, the classification results have achieved higher success.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115340161","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
Development of Driver Fatigue Detection System By Using Video Images 基于视频图像的驾驶员疲劳检测系统的开发
Journal of Intelligent Systems with Applications Pub Date : 2019-05-02 DOI: 10.54856/jiswa.201905054
Burcu Kır Savaş, Y. Becerikli
{"title":"Development of Driver Fatigue Detection System By Using Video Images","authors":"Burcu Kır Savaş, Y. Becerikli","doi":"10.54856/jiswa.201905054","DOIUrl":"https://doi.org/10.54856/jiswa.201905054","url":null,"abstract":"Major reasons for traffic accidents all over the world are mostly because of drivers' fatigue and lack of concentration. In this study, the detection and tracking of the drivers' faces in video based images were realized by using AdaBoost algorithm. The eye area was detected by using Principle Component Analysis (PCA). A predictive system was developed analyzing the eye closure of the drivers'. The system used PERCLOS (Percentage of eye closure) and it was tested on UCLA database.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132287581","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
Investigation of Segmentation Performances of Superpixel Algorithms for Noisy Images 噪声图像的超像素分割性能研究
Journal of Intelligent Systems with Applications Pub Date : 2019-05-02 DOI: 10.54856/jiswa.201905063
Fadime Ozer, U. Ozkaya
{"title":"Investigation of Segmentation Performances of Superpixel Algorithms for Noisy Images","authors":"Fadime Ozer, U. Ozkaya","doi":"10.54856/jiswa.201905063","DOIUrl":"https://doi.org/10.54856/jiswa.201905063","url":null,"abstract":"Superpixels, used espically in image and video segmentation applications, are the visiual structures composed of pixels having same color, intensity and texture behavior. In this work, segmentation performances of superpixel algorithms for noisy images are investigated. Moreoever, the effect of denoising to segmentation accuracy is also investigated. For this purpose, most common three superpixel algorithms are implemented to the images selected from image segmentation database. As a result of efforts made, noise sensitivity and segmentation performance of superpixel algorithms are investigated. Also, the effect of denoising process as a preprocessing step to the segmentation performance is also examined.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124816582","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
Optimization of Fuzzy Logic Controller by Using Heuristic Algorithms 基于启发式算法的模糊逻辑控制器优化
Journal of Intelligent Systems with Applications Pub Date : 2019-05-02 DOI: 10.54856/jiswa.201905052
S. Unsal, Ibrahim Aliskan
{"title":"Optimization of Fuzzy Logic Controller by Using Heuristic Algorithms","authors":"S. Unsal, Ibrahim Aliskan","doi":"10.54856/jiswa.201905052","DOIUrl":"https://doi.org/10.54856/jiswa.201905052","url":null,"abstract":"There are many design parameters in the structure of fuzzy logic controllers. Conventional methods that don't have a systematic approach are often used in determining of these parameters. However, setting the controller parameters in this way leads to long experiments and this takes a lot of time. For this reason, design parameters of the fuzzy logic controller are usually determined by using heuristic algorithms. Because, heuristic algorithms can offer solutions that are very close to the optimal solution for the problems where exact solution cannot be obtained. In this study, output membership functions of a fuzzy logic controller are optimized using particle swarm optimization and genetic algorithm. Design and optimization stages are explained in detail and results are compared with each other.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131867944","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
Feature Selection for ECG Beat Classification using Genetic Algorithms 基于遗传算法的心电拍分类特征选择
Journal of Intelligent Systems with Applications Pub Date : 2018-12-27 DOI: 10.54856/jiswa.201812045
Çagla Sarvan, N. Ozkurt, Korhan Karabulut
{"title":"Feature Selection for ECG Beat Classification using Genetic Algorithms","authors":"Çagla Sarvan, N. Ozkurt, Korhan Karabulut","doi":"10.54856/jiswa.201812045","DOIUrl":"https://doi.org/10.54856/jiswa.201812045","url":null,"abstract":"In this study, genetic algorithm method was used to select the most suitable set of features for classification of arrhythmia types of heart beats. Normal, right branch block, left branch block and pace rhythm samples of electrocardiography (ECG) signals which obtained from the MIT-BIH cardiac arrhythmia database were used in the classification. Mean, standard deviation, energy and entropy of discrete wavelet transform (DWT) coefficients were proposed as the features for the classification. By using the proposed DWT method, 16 features which have high classification accuracy were obtained among the 208 feature sets constructed from 13 different wavelet types by applying the genetic algorithm method. It was observed that the features that increase accuracy can be detected by the genetic algorithm and the feature set obtained from the coefficients of the different types of wavelets selected at different levels show higher performance than the coefficients obtained from the standard individual wavelet in the ECG arrhythmia classification.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127396135","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
Estimation for Survival of Lung Cancer Patients Depending on Different Attributes 基于不同属性的肺癌患者生存评估
Journal of Intelligent Systems with Applications Pub Date : 2018-12-27 DOI: 10.54856/jiswa.201812044
T. Saraç
{"title":"Estimation for Survival of Lung Cancer Patients Depending on Different Attributes","authors":"T. Saraç","doi":"10.54856/jiswa.201812044","DOIUrl":"https://doi.org/10.54856/jiswa.201812044","url":null,"abstract":"Nowadays, huge volumes of data are available thank to developing technology, variety of data and reduction in electronic storage cost of data. Various studies are carried out in order to transform data to meaningful information. In this paper, data set which belongs to lung cancer patients were transformed meaningful information. post-operative life expectancy within one year r operation has been estimated. It is observed that best result has been achieved by using KNN Algorithm (k=5 and Cross Validation=10).","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130165217","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
Fast Heuristic Optimization Methods for Point Label Placement Problem 点标签放置问题的快速启发式优化方法
Journal of Intelligent Systems with Applications Pub Date : 2018-12-27 DOI: 10.54856/jiswa.201812048
Orkun Akile, Erdoğan Sevilgen
{"title":"Fast Heuristic Optimization Methods for Point Label Placement Problem","authors":"Orkun Akile, Erdoğan Sevilgen","doi":"10.54856/jiswa.201812048","DOIUrl":"https://doi.org/10.54856/jiswa.201812048","url":null,"abstract":"Point label placement problem is the problem of labeling points in graphical display systems such as mapbased ones in order to minimize conflicts of labels and thus to maximize legibility. Algorithmic complexity of the general problem is proven to be NP-hard. Addressing this problem is becoming more important in dynamic and real-time environments, where both display properties or point elements are subject to change, since those systems have potential use widely and in large scale. In this study, heuristic optimization methods are proposed to facilitate fast and goodquality labeling in such dynamic environments. The methods are two-phased and comprised of several combinations of greedy construction and local search methods. Performances of the methods are examined in terms of solution quality and run time. The eliminative, two-criteria method outperform other methods in this study and the methods proposed in the literature.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116699379","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
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