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Journal of Intelligent Systems with Applications最新文献

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Design of 3D Digitization Integrated Robotic Arm to Help Clinical Applications 三维数字化集成机械臂设计助力临床应用
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912089
M. B. Selek, Aykut Solmaz, Emrah Cetintas, Kaan Ugur, Y. Isler
{"title":"Design of 3D Digitization Integrated Robotic Arm to Help Clinical Applications","authors":"M. B. Selek, Aykut Solmaz, Emrah Cetintas, Kaan Ugur, Y. Isler","doi":"10.54856/jiswa.201912089","DOIUrl":"https://doi.org/10.54856/jiswa.201912089","url":null,"abstract":"Thanks to developing technology, robots have been integrated into many parts of daily life. Robots are called programmable, multifunctional, work, and timesaving devices. In this study, it is aimed to enhance a robotic arm to become a new tool for transferring an object to the virtual environment by integrating a three-dimensional digitizing property to the robotic arm. The robotic arm is developed using the software of Autodesk Fusion 360 and its physical prototype is implemented using PLA filament in three dimensional printers. A general-purpose microcontroller board of Arduino Mega 2560 model connected to motor drivers is used to control stepper motors that conduct robotic arm actions. Encoders used in the threedimensional digitizer are connected to digital pins of the Arduino board to calculate the X-Y-Z coordinates of the object in the space. The proposed system is controlled via the interface program, which is developed in Python programming language. As a result, a device to use in clinical applications is available in our biomechanics laboratuary, now.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131071271","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
Implementation of DC Motor Control Experimental Setup Platform for Intelligent System Applications 智能系统应用直流电机控制实验搭建平台的实现
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912080
Mehmet Ali Dincer, Hakan Eser, Y. Isler
{"title":"Implementation of DC Motor Control Experimental Setup Platform for Intelligent System Applications","authors":"Mehmet Ali Dincer, Hakan Eser, Y. Isler","doi":"10.54856/jiswa.201912080","DOIUrl":"https://doi.org/10.54856/jiswa.201912080","url":null,"abstract":"Nowadays, DC engines have been widely used in daily life. Thanks to its popularity, students are expected to apply their theoretical control algorithms in a DC engine control as an application. Although these necessities and requirements, there is no presented experimental setup for both industrial and educational purposes. In this study, an experimental setup is developed in order to control two distinct DC engines via an embedded microcontroller board and engine driver circuits for testing intelligent system based control algorithms in PC. PID control algorithm is tested via the implemented setup.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130801219","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
Domain-specific Evaluation Dataset Generator for Multilingual Text Analysis 用于多语言文本分析的领域特定评估数据集生成器
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912084
E. Inan, Vahab Mostafapour, Fatif Tekbacak
{"title":"Domain-specific Evaluation Dataset Generator for Multilingual Text Analysis","authors":"E. Inan, Vahab Mostafapour, Fatif Tekbacak","doi":"10.54856/jiswa.201912084","DOIUrl":"https://doi.org/10.54856/jiswa.201912084","url":null,"abstract":"Web enables to retrieve concise information about specific entities including people, organizations, movies and their features. Additionally, large amount of Web resources generally lies on a unstructured form and it tackles to find critical information for specific entities. Text analysis approaches such as Named Entity Recognizer and Entity Linking aim to identify entities and link them to relevant entities in the given knowledge base. To evaluate these approaches, there are a vast amount of general purpose benchmark datasets. However, it is difficult to evaluate domain-specific approaches due to lack of evaluation datasets for specific domains. This study presents WeDGeM that is a multilingual evaluation set generator for specific domains exploiting Wikipedia category pages and DBpedia hierarchy. Also, Wikipedia disambiguation pages are used to adjust the ambiguity level of the generated texts. Based on this generated test data, a use case for well-known Entity Linking systems supporting Turkish texts are evaluated in the movie domain.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132449379","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
Combining Low-Level Image Features with Features from A Simple Convolutional Neural Network 结合低级图像特征和简单卷积神经网络特征
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912083
Ozge Oztimur Karadag, O. Erdas
{"title":"Combining Low-Level Image Features with Features from A Simple Convolutional Neural Network","authors":"Ozge Oztimur Karadag, O. Erdas","doi":"10.54856/jiswa.201912083","DOIUrl":"https://doi.org/10.54856/jiswa.201912083","url":null,"abstract":"In the traditional image processing approaches, first low-level image features are extracted and then they are sent to a classifier or a recognizer for further processing. While the traditional image processing techniques employ this step-by-step approach, majority of the recent studies prefer layered architectures which both extract features and do the classification or recognition tasks. These architectures are referred as deep learning techniques and they are applicable if sufficient amount of labeled data is available and the minimum system requirements are met. Nevertheless, most of the time either the data is insufficient or the system sources are not enough. In this study, we experimented how it is still possible to obtain an effective visual representation by combining low-level visual features with features from a simple deep learning model. As a result, combinational features gave rise to 0.80 accuracy on the image data set while the performance of low-level features and deep learning features were 0.70 and 0.74 respectively.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133892803","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
Structured Learning Based Turkish Sentiment Analysis 基于结构化学习的土耳其情感分析
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912071
Oguz Ulgen, A. S. Ogrenci
{"title":"Structured Learning Based Turkish Sentiment Analysis","authors":"Oguz Ulgen, A. S. Ogrenci","doi":"10.54856/jiswa.201912071","DOIUrl":"https://doi.org/10.54856/jiswa.201912071","url":null,"abstract":"Sentiment analysis is highly popular topic to identify people's opinions through the social media, forums and other websites. There are an abundance of opinions on internet and analysing those opinions would have many benefits for both private and public sectors. Research has evolved looking on tweets for mining opinions and for the classification of the tweets as positive, negative or neutral in its sentiment. In this research, Turkish tweets are used for sentiment extraction where a two layer neural network is used as the pattern recognition system. The supervised training of this system is based on structured learning. As a conclusion, structured learning seems to be helpful in pattern recognition to classify tweets and mining the opinions. However, it is evident that further research in data processing and training methodology is necessary to obtain reliable sentiment analysis results.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124045093","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
Data Mining Applications in Education 数据挖掘在教育中的应用
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912082
Fehmi Skender
{"title":"Data Mining Applications in Education","authors":"Fehmi Skender","doi":"10.54856/jiswa.201912082","DOIUrl":"https://doi.org/10.54856/jiswa.201912082","url":null,"abstract":"We are witnessing the changes in Education by time. Databases on technology developments and especially storage systems grow, Databases need more memory. The discovery of correlations and relationships within the rapidly increasing size of existing data and the finding of valid predictions based on them have become an important concept in the computer age we are in. In many countries' education system has used electronic logging software. WEB software has provided a great contribution especially in the processing of training data, in the determination of training management strategies, self assessment and in the development plans. Although in some countries university department preferences are free, a good orientation is always needed. While the university department or profession is preferred, it is a good choice to process the data in the electronic daily with data mining techniques. In our research we have used the data mining prediction tree, the WEKA open-code software and the Apriori algorithm. It is a fact that data mining methods give very effective results in determining the factors that affect the educational success of the students.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486366","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
An Integrated Incubator Module for Pediatric Patient Monitoring Systems 一种用于儿科病人监测系统的综合培养箱模块
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912074
Ugur Altan, A. Gokcen, Y. Kutlu
{"title":"An Integrated Incubator Module for Pediatric Patient Monitoring Systems","authors":"Ugur Altan, A. Gokcen, Y. Kutlu","doi":"10.54856/jiswa.201912074","DOIUrl":"https://doi.org/10.54856/jiswa.201912074","url":null,"abstract":"Patient monitoring systems (PMS) is a method used for rating and controlling of the treatments and disorders. While PMS offers as wearable technologies for adults; it is used for adapting to incubator modules to ensure continuous and instant monitoring for newborn babies at the pediatric level. The purpose of this study is to make a pediatric PMS with the ability to be integrated to all type of classical incubators, and monitoring the conditions of the newborn babies with various sensors. It is designed as an Arduino based system that instantly records the variables such as temperature, humidity, air quality to the server using Wi-Fi connection and instantly providing the monitoring ability for clinicians and nurses. Accelerometer is used to control the baby's awake and asleep status, and patientbased safe identification and assessments are made using RFID. As a result, a system has been designed to integrate all the classical incubators and ensure that a large number of incubators can be monitored from a single center.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128235940","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
Early Prediction of Paroxysmal Atrial Fibrillation using Wavelet Transform Methods 小波变换方法对阵发性心房颤动的早期预测
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912077
A. Narin, Y. Isler, M. Ozer
{"title":"Early Prediction of Paroxysmal Atrial Fibrillation using Wavelet Transform Methods","authors":"A. Narin, Y. Isler, M. Ozer","doi":"10.54856/jiswa.201912077","DOIUrl":"https://doi.org/10.54856/jiswa.201912077","url":null,"abstract":"Paroxysmal Atrial fibrillation is one of the most common complaints of heart disorders that occur as a result of random vibrations of the atria. PAF episode show a serious increase with age, and the next steps are more difficult especially for the elderly. So, diagnosing in the early stages of this disorder is very important for the PAF patients to stop the progression of the disease and to improve the quality of life. For his reason, in this studyitisaimedtobedetectedwhichin5minutesbeforethePAF episodes. The 30-minute data is divided into 10 parts in 5 minutes with 50% overlap. For each part, wavelet transform methods and wavelet entropy are calculated over heart rate variability data. Using these measurements, it is determined whether there is a statistically significant difference between the parts and the early detection performance of PAF was obtained using the k-nearest neighbors classifier. As a result, PAF episode can be statistically distinguished before it occurs and it is determined that the k-nn classifier has about 72% performance 12.5 minutes earlier than a PAF episode.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644482","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
Eog-Based Device Control Interface for Patients with Quadriplegia 基于eeg的四肢瘫痪患者设备控制接口
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912090
M. B. Selek, Beste Imamoglu, M. C. Yildirim, Y. Isler
{"title":"Eog-Based Device Control Interface for Patients with Quadriplegia","authors":"M. B. Selek, Beste Imamoglu, M. C. Yildirim, Y. Isler","doi":"10.54856/jiswa.201912090","DOIUrl":"https://doi.org/10.54856/jiswa.201912090","url":null,"abstract":"The life quality of the patients with plegia and their caregivers is drastically reduced in daily life. Quadriplegia, which means that four limbs and the body trunk are affected from the plegia, is known as the most severe type of plegia. Since patients with quadriplegia can only move their eyes in their bodies and cannot meet their needs themselves, this limits them both psychologically and physically. In this study, a new system is proposed to use the device control interface in front of the patient via their eye movements and hence to control a device (or devices) whichever they want. Therefore, an improvement in both the patient’s and their caregivers’ life qualities since the patients will be able to conduct some simple activities alone. As a result of the limited experiments, to turn on and turn off the preprogrammed devices are controlled using the proposed system successfully.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"15 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132610406","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
A Convolutional Neural Network Model for Road Flow Direction Detection 一种用于道路流方向检测的卷积神经网络模型
Journal of Intelligent Systems with Applications Pub Date : 2019-12-27 DOI: 10.54856/jiswa.201912072
Vedat Tumen, Ozal Yildirim, B. Ergen
{"title":"A Convolutional Neural Network Model for Road Flow Direction Detection","authors":"Vedat Tumen, Ozal Yildirim, B. Ergen","doi":"10.54856/jiswa.201912072","DOIUrl":"https://doi.org/10.54856/jiswa.201912072","url":null,"abstract":"It is an important work area to determine realtime characteristics of roads where vehicles are in motion in critical areas where artificial intelligence is effectively used, such as driverless vehicles. The purpose of this article work is to present a deeper learning method that will allow a vehicle in motion to detect the direction of flow in the path. Convolutional Neural Networks (KSA) have been used as deep learning models for the determination of the direction of flow (YAY) in the study. The YAY-KSA model developed for flow direction detection is applied on 587 real road images in the CMU VASC image database. To compare the performances of the prepared model, Cifar model which is a common KSA model was applied on the same data. According to the classification results obtained, it was seen that the designed YAY-KSA model correctly determined flow direction at 80.1% level.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130192440","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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