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2017 International Artificial Intelligence and Data Processing Symposium (IDAP)最新文献

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Evaluation of machine learning classification algorithms & missing data imputation techniques 评估机器学习分类算法和缺失数据输入技术
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090315
N. Nwulu
{"title":"Evaluation of machine learning classification algorithms & missing data imputation techniques","authors":"N. Nwulu","doi":"10.1109/IDAP.2017.8090315","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090315","url":null,"abstract":"In this work, we present a performance comparison of the Multi Layer Perceptron (MLP), Support Vector Machines (SVM) and Voted Perceptron (VP) when applied to a social signal processing task. The signal processing task is in the field of computational politics where the aim is to predict the political parties of American congress members based on their response to certain questions. Using this dataset which is publicly available, we investigate the use of four methods to impute or approximate missing values. The four imputed datasets are used to train MLP, SVM and VP classifiers to associate the congress members' responses to their political party affiliation and we compare the results from the three classifiers. The aim is to design a practical system or model to be able to predict another person's political affiliations based on their responses to similar questions. The obtained experimental results suggest that machine learning classifiers can be used to accurately predict an individual's political leaning.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"1 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":"133570237","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
The analysis of RCS of winged almond model with ammunition and without ammunition 带弹和无弹翼杏树模型RCS分析
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090190
Çağlayan Durlu, H. T. Hayvaci
{"title":"The analysis of RCS of winged almond model with ammunition and without ammunition","authors":"Çağlayan Durlu, H. T. Hayvaci","doi":"10.1109/IDAP.2017.8090190","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090190","url":null,"abstract":"In this paper, the design, analysis and numerical results of back scattering field of winged almond model with ammunition and without ammunition are presented. Simulations with using Physical Optics (PO) method in Ansys HFSS software for monostatic Radar Cross Section (RCS) were made in 1 GHz and 9 GHz. By using PO method to obtain the total scattered field received part of the radar, the body of the target is seperated into number of facets, then all these facets scattered field components are super imposed. When the electrical size of the target is twice as large as the wavelength, the order diffraction field is not considered. The fractured area from the first order will be sufficient to calculate the RCS of the target. Effects of ammunition quantity of modeled winged almon model with ammunition on RCS are compared in different frequencies.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"13 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":"121280148","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
Fire evacuation route determination based on particle swarm optimization 基于粒子群优化的火灾疏散路线确定
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090169
Ş. Aymaz, Tugrul Çavdar, A. Cavdar
{"title":"Fire evacuation route determination based on particle swarm optimization","authors":"Ş. Aymaz, Tugrul Çavdar, A. Cavdar","doi":"10.1109/IDAP.2017.8090169","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090169","url":null,"abstract":"Fire may cause people in the building to be scared, distracted. In that case, some evacuation systems may help people to leave the building safely. This paper proposes a technique to explore a wayfinding during fire. Wayfinding depends on building type. We also investigated the possible influence of smoke, light and distance on route determination for fire evacuation. When the fire occurs, the system provides evacuation route guidance to people for them to be able to avoid hazard. It is important to optimize the evacuation route for minimum effects of dangerous conditions. Fire evacuation system can recommend the shortest and safety route. Here, Particle Swarm Optimization is used to optimize the evacuation route. On the other advantage of Particle Swarm Optimization is that it is easy to implement and has very few parameters.","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":"133597685","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
A retinal vessel detection approach using convolution neural network 基于卷积神经网络的视网膜血管检测方法
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090331
A. Şengür, Yanhui Guo, Ümit Budak, Lucas J. Vespa
{"title":"A retinal vessel detection approach using convolution neural network","authors":"A. Şengür, Yanhui Guo, Ümit Budak, Lucas J. Vespa","doi":"10.1109/IDAP.2017.8090331","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090331","url":null,"abstract":"Computer-aided detection (CAD) provides an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is an important step to identify the retinal disease regions automatically and accurately. However, RV detection is still a challenging problem due to variations in morphology of the vessels on a noisy background. In this paper, we formulate the detection task as a classification problem and solve it using a convolutional neural network (CNN) as a two-class classifier. The proposed model has 2 convolution layers, 2 pooling layers, 1 dropout layer and 1 loss layer. The proposed CNN achieves better performance and significantly outperforms the state-of-the-art for automatic retinal vessel segmentation on the DRIVE dataset with 91.78% accuracy and 0.96743 AUC score. We further compare our result with several state of the art methods based on AUC values. The comparison shows that our proposal yields the second best AUC value. This demonstrates the efficiency of the proposed method which has no pre-processing steps.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"7 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":"131825268","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: 11
A discriminative dictionary learning-AdaBoost-SVM classification method on imbalanced datasets 不平衡数据集的判别字典学习- adaboost - svm分类方法
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090337
Mücahid Barstuğan, R. Ceylan
{"title":"A discriminative dictionary learning-AdaBoost-SVM classification method on imbalanced datasets","authors":"Mücahid Barstuğan, R. Ceylan","doi":"10.1109/IDAP.2017.8090337","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090337","url":null,"abstract":"Sparse representation is a signal processing method which is mostly used in signal compression, noise reduction, and signal and image restoration fields. In this study, sparse representation was used in a different way from the traditional methods. In the proposed method, a hybrid structure was created by combining dictionary learning and ensemble classifier AdaBoost algorithms. The main idea of this method is to obtain the sparse coefficients from an over-complete dictionary and to use the coefficients in the weight update formula of AdaBoost. Support Vector Machines (SVM) classifier was used as weak classifiers of AdaBoost, and AdaBoost-SVM classifier structure was created. Multiplying the sparse coefficients with weight of weak learners process in weight update formula has given satisfying results on imbalanced datasets during the experiments.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"239 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114058677","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
Optimization of Grid-Graphs using Segmentation 基于分割的网格图优化
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090173
Erhan Bülbül Ösym, Türkiye Ankara, Aydın Çetin
{"title":"Optimization of Grid-Graphs using Segmentation","authors":"Erhan Bülbül Ösym, Türkiye Ankara, Aydın Çetin","doi":"10.1109/IDAP.2017.8090173","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090173","url":null,"abstract":"This work examines the effects of reducing the number of nodes and edges in a grid-graph, which consists of heterogeneous node blocks. An optimization method that reduces the count of nodes and edges is presented. Approaches that make traversing the graph easier by using this method are explained with examples. Efficiency of the method is observed using different pathfinding algorithms.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"1 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":"115545079","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
Ayrik kosinüs dönüşümü ve ayrik dalgacik dönüşümü tabanli Çoklu resim damgalama yöntemi
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090208
A. Abdulrahman, Serkan Öztürk
{"title":"Ayrik kosinüs dönüşümü ve ayrik dalgacik dönüşümü tabanli Çoklu resim damgalama yöntemi","authors":"A. Abdulrahman, Serkan Öztürk","doi":"10.1109/IDAP.2017.8090208","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090208","url":null,"abstract":"In recent years, due to the development of computer, internet and mobile technologies the copyright protection of the multimedia documents such as digital audio, image and video has become important. Digital watermarking has become the most popular method for protecting multimedia documents. In this work, a novel robust image watermarking method based on Discrete Cosine Transform, Discrete Wavelet Transform and Arnold Transform is presented. The experiment results show that the proposed method is robust against different attacks.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"83 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":"115860624","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
Comparison of LSB image steganography technique in different color spaces 不同色彩空间下LSB图像隐写技术的比较
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090342
Özcan Çataltas, Kemal Tütüncü
{"title":"Comparison of LSB image steganography technique in different color spaces","authors":"Özcan Çataltas, Kemal Tütüncü","doi":"10.1109/IDAP.2017.8090342","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090342","url":null,"abstract":"The incredible progress of technology has made the use of communication and information technologies indispensable because of the possibilities it offers. These possibilities increased the security issues on personal information and communication security problems such as phone calls, retrieving e-mail contents, copying private information on computers. Encryption algorithms used in classical security approaches, while ensuring the confidentiality of information, cannot provide the principle of “imprecision” that has become increasingly important in recent times. A coded or encrypted text can be solved by advanced machines when focused on it. So the key point is “do not raise suspicion”. For this reason, steganography and watermarking methods that put the invisibility of the existence of a secret message into the primary goal are especially the focus of interest after 2000's years. In this study, Least Significant Bit (LSB) technique, which is the most basic and commonly used technique in steganography, was applied to 3 different images in different color spaces. When the obtained results were compared according to the image quality evaluation criteria, it has been seen that the images in Hue-Saturation-Intensity (HSI) color spaces had better performances and successes to the other color spaces.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"31 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":"115267620","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: 19
Fuzzy logic controlled brushless direct current motor drive design and application for regenerative braking 模糊逻辑控制无刷直流电机再生制动驱动设计及应用
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090282
Yusuf Karabacak, Ali Uysal
{"title":"Fuzzy logic controlled brushless direct current motor drive design and application for regenerative braking","authors":"Yusuf Karabacak, Ali Uysal","doi":"10.1109/IDAP.2017.8090282","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090282","url":null,"abstract":"In this study, a driver design for the Brush Less Direct Current (BLDC) engine was made. With this driver, BLDC motors are provided to operate in both engine mode and regenerative braking mode. Fuzzy logic controller is used for motor speed control. The STM32F4 Discovery development card has been used to control your drive. Driver tests were conducted on an electric vehicle. Test data were obtained with the aid of a mini computer placed on the vehicle. In regenerative braking mode, the speed of the vehicle slowed down and the battery voltage was shown to be charged at the desired levels. The drive test data was obtained with the aid of an oscilloscope.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"59 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":"124901083","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: 12
2D coverage analysis of sensor networks with random node deployment 随机节点部署传感器网络的二维覆盖分析
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090343
Sibel Birtane, Seda Kazdal, O. K. Sahingoz
{"title":"2D coverage analysis of sensor networks with random node deployment","authors":"Sibel Birtane, Seda Kazdal, O. K. Sahingoz","doi":"10.1109/IDAP.2017.8090343","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090343","url":null,"abstract":"In last few decades, as a result of the advances in microelectromechanical systems, Wireless Sensor Networks (WSNs) have gained a considerable attention due to their low-cost, low-power and small-scale sensor nodes which are used to integrate sensing, processing, communicating capabilities to solve many different real world problems. The placement of sensor nodes is a very important step to cover the theater of these application areas. Increasing the coverage of WSN system is one of the important research interests to determine the quality of service of the system. The location of sensor nodes can be determined by humans to increase the coverage area. However, in the remote or hostile environments, the random deployment of sensor nodes is needed to be used. In this paper, the different random deployment techniques have been studied, and the experimental results are obtained have been shared to show the effectiveness of these techniques. Finally, the alternative approaches are mentioned to guide the researchers, as well.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"9 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":"122131639","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
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