2017 International Artificial Intelligence and Data Processing Symposium (IDAP)最新文献_第9页

Optimization of LQR weight matrix to control three degree of freedom quadcopter LQR权矩阵优化控制三自由度四轴飞行器

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090164

Muhammed İçen, Abdullah Ateş, C. Yeroğlu

引用次数: 4

Web based image processing application: Rating diabetes intensity 基于Web的图像处理应用:糖尿病强度分级

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090277

Veysel Gündüzalp, M. F. Talu, S. Gül, Emrah Zayman, M. Gül

引用次数: 0

A new model to determine asymmetry coefficients on MR images using PSNR and SSIM 利用PSNR和SSIM确定MR图像不对称系数的新模型

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090201

Muhammet Üsame Öziç, Seral Özşen

{"title":"A new model to determine asymmetry coefficients on MR images using PSNR and SSIM","authors":"Muhammet Üsame Öziç, Seral Özşen","doi":"10.1109/IDAP.2017.8090201","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090201","url":null,"abstract":"The human brain consists of two hemispheres, right and left. These two hemispheres are almost symmetrical, not perfectly. However, in neurological diseases, the volumetric losses in the brain begin to deteriorate asymmetrically between the two hemispheres. This deterioration can be local or global in the brain. Symmetry deterioration can be a biomarker in the early stage diagnosis and the following of neurological diseases. However, it has been stated that the analysis of asymmetry in the brain by numerical methods is problematic. In this study, a new approach is proposed to analyze the brain symmetry deterioration numerically. In order to perform asymmetry analysis in MR images, two hemispheres must be separated from each other by finding the midsagittal plane which are known symmetry axis. The PSNR and SSIM coefficients are often used for quality measurements between two images. In the study, these coefficients were tested for asymmetry measurement. Statistical analysis was performed by determining PSNR-SSIM coefficients between 70 Control and 70 Alzheimer Disease MR images from the OASIS database. It was determined that the use of PSNR and SSIM coefficients in the asymmetry analysis of MR images gave meaningful results.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126132308","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

Leaf recognition based on artificial neural network 基于人工神经网络的叶片识别

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090240

Furkan Ayaz, A. Ari, D. Hanbay

引用次数: 3

Edge control approach based on image processing in paper and packaging production 基于图像处理的纸张和包装生产边缘控制方法

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090300

Goktug Altundogan, M. Karakose, Alisan Sarimaden, E. Akin

{"title":"Edge control approach based on image processing in paper and packaging production","authors":"Goktug Altundogan, M. Karakose, Alisan Sarimaden, E. Akin","doi":"10.1109/IDAP.2017.8090300","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090300","url":null,"abstract":"Minimizing the losses that will occur in the production phase is a very important issue in industry. Many digital and electronic solutions are being used in the industry in order to prevent situations that may cause loss. If these solutions are dealt with in two steps, the first step is to determine the likely cause of the possible loss. The second step is to prevent problems by eliminating the fault in the determined case. Particularly in the packaging sector and the paper sector, slip and position changes that may occur during the flow through the conveyor belt before the raw mine is processed cause defects on the product. For this reason, it is very important for the industrial applications mentioned to be able to detect a possible slip situation and to be able to intervene quickly in order to eliminate this slip to avoid any malfunction. Highly efficient results can be achieved with image processing techniques to detect situations such as slippage of raw material flowing through the conveyor belt. In this study, an approach has been made to detect the amount of slip accurately using image processing based edge detection algorithms and to intervene with the help of stepper motors. The developed system in this study has been tested on different colored surfaces according to the sensitivity of the detection algorithm and the response speed of stepper motors. The developed image processing algorithm in this paper is implemented on an ARM based development card. The algorithm produces output according to the direction of the possible slip and applies force in the direction of the stepping motor slip due to the divided threads. Synchronization of processes in this study through threads has increased the reaction speed of stepper motors. The efficiency of detecting the amount of slippage of the algorithm developed in experimental data and the response speed of the stepper motor according to this proved itself.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122194196","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

Collaboration graph as a new graph definition approach 协作图作为一种新的图定义方法

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090242

Kenan Ince, A. Karcı

引用次数: 1

Usage of artificial neural network for estimating of the electrospun nanofiber diameter 应用人工神经网络估算静电纺纳米纤维直径

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090329

Çağdaş Yilmaz, Deniz Ustun, A. Akdagli

{"title":"Usage of artificial neural network for estimating of the electrospun nanofiber diameter","authors":"Çağdaş Yilmaz, Deniz Ustun, A. Akdagli","doi":"10.1109/IDAP.2017.8090329","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090329","url":null,"abstract":"At the present time, nanomaterials are used in the medicine and biology applications such as drug and gene delivery, bio-detection of pathogens, MRI contrast enhancement, tumor destruction via heating, and protein detection. Tissue engineering which is another of these applications is being increasingly popular. Because extracellular matrix (ECM) consists nano-sized structure; the usage of nanomaterials in tissue engineering enables to produce of tissue scaffolds that are more closely resemble the ECM form. Thus, the success rate increases in tissue engineering as it is provided a more favorable environment for the growth of cells. Electrospinning is a popular method among nanomaterial production ones. The diameter of the fiber produced by electrospinning technique depends on the various parameters like process, solution, and environmental parameters. In this study, an ANN model based on multilayer perceptron (MLP) is presented for predicting the average fiber diameter (AFD) of electrospun gelatin/bioactive glass (Gt/BG) scaffold. The experimental results previously published in the literature, which include one solution parameter (BG content) as well as two process parameters (tip to collector distance and solution flow rate) related to producing of electrospun Gt/BG nanofiber, have been used. The values of average percentage error between the predicted average fiber diameters and experimental ones are achieved as 3.27 %. The results obtained from the proposed model have also been confirmed by comparing with results of AFD expression reported elsewhere. It is illustrated that the AFD of electrospun Gt/BG can be accurately predicted by the model proposed here without requiring any complicated or sophisticated knowledge of the mathematical and physical background.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122398269","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

Recent keypoint based copy move forgery detection techniques 最近基于关键点的复制移动伪造检测技术

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090251

Gul Muzaffer, Eda Sena Karaağaçli, G. Ulutaş

引用次数: 7

A smart dermoscope design using artificial neural network 一种基于人工神经网络的智能皮肤镜设计

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090211

Serkan Turkeli, Mehmet Salih Oguz, S. Abay, T. Kumbasar, Hüseyin Tanzer Atay, Kenan Kaan Kurt

引用次数: 5

PLD: Power line detection system for aircrafts PLD:飞机电源线检测系统

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090290

Ömer Emre Yetgin, Ö. N. Gerek

引用次数: 3