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Generalized filter bank design for sleep stage classification 睡眠阶段分类的广义滤波器组设计
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090175
E. A. Oral, M. M. Codur, I. Ozbek
{"title":"Generalized filter bank design for sleep stage classification","authors":"E. A. Oral, M. M. Codur, I. Ozbek","doi":"10.1109/IDAP.2017.8090175","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090175","url":null,"abstract":"In this study, binary sleep stage classification (sleep or awake state) was performed using single-channel EEG signal. A new frequency warping function is proposed for this purpose. This function provides a bending function that can proper orientation and depth of the EEG signal frequency content. In this way a generalized filter set of was designed. With the help of this filter set, cepstrum features are extracted. In classification stage, Support Vector Machines (SVM) are employed because of its good performance at binary classification. According to the experimental results, the highest correct classification rate(accuracy) is 98.40%. The result is better than studies which use same database in literature.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"25 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":"131651698","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
Classification of EMG signals by LRF-ELM LRF-ELM对肌电信号的分类
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090239
Furkan Ayaz, A. Ari, D. Hanbay
{"title":"Classification of EMG signals by LRF-ELM","authors":"Furkan Ayaz, A. Ari, D. Hanbay","doi":"10.1109/IDAP.2017.8090239","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090239","url":null,"abstract":"Electromyogram (EMG) signal can be defined as the electrical activity of muscles cells. It is commonly used in motion recognition, treatment of neuromuscular disorders and prosthetic hand control. In this study, classification of EMG signals obtained from 6 different hand shapes of holding object was proposed. At first Short Time Fourier Transform of the EMG signal were evaluated to obtain their Time-Frekans representation. After than these T-F images were segmented and their mean values were evaluated to reduce the dimension of the images. Local Receptive Fields based Extreme Learning Machines (ELM-LRF) used to classification of these hand shapes of holding object. Evaluated accuracy is 94.12 %.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"50 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":"133923767","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
Developing technology cloud informatics and Turkey 发展技术云信息学和土耳其
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090161
Sabri Koçer, A. E. Tumer, Sefer Yazir
{"title":"Developing technology cloud informatics and Turkey","authors":"Sabri Koçer, A. E. Tumer, Sefer Yazir","doi":"10.1109/IDAP.2017.8090161","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090161","url":null,"abstract":"Information and Communication Technologies (ICT) have become an indispensable part for people in their daily lives. Accessing to the Internet through computers, mobile phones, and tablets has becoming easier each passing day. Developments in Information Technologies (IT) provide easiness of cost, speed, sustainability and time to continue their existence in the sector and provide their services for the business enterprises. Necessity of renewing their infrastructure increases the cost for the business enterprises. Now after that, outsourcing has become a necessity for business enterprises. Cloud Communication Technology offers flexible solutions with its “Pay as you go” principle optionally for business enterprises. In this study, service models, distribution models, advantages and disadvantages of Cloud Informatics are examined. The current state of ICT, IT and Cloud Informatics in Turkey is put forward.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"14 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":"132929310","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 smart campus integrated with smart grid 与智能电网相结合的智慧校园
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090275
Yildirim Özüpak, Gulten Cetintas, A. Kaygusuz
{"title":"A smart campus integrated with smart grid","authors":"Yildirim Özüpak, Gulten Cetintas, A. Kaygusuz","doi":"10.1109/IDAP.2017.8090275","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090275","url":null,"abstract":"Recently, smart campus projects that will improve quality of the services they received and the daily activities of students and employees in the campus environment, have been put into practise. The smart campus includes issues such as increasing energy efficiency, facilitating transportation, parking area control, provision of access to multiple services with card systems, information systems, monitoring and control of systems, authorization of users, use of social areas, water saving and security. The smart campus also means that all these components are managed centrally. In this study, it is aimed to make intelligent campus compatible with smart grid and supported by renewable energy. For that reason, improvements and solution proposal that can be made on the current situation have been presented.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"38 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":"133326869","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
Creating alternative layout plans with simulated annealing and data mining 使用模拟退火和数据挖掘创建备选布局规划
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090334
Melda Kokoç, A. Aktepe, S. Ersöz
{"title":"Creating alternative layout plans with simulated annealing and data mining","authors":"Melda Kokoç, A. Aktepe, S. Ersöz","doi":"10.1109/IDAP.2017.8090334","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090334","url":null,"abstract":"When studies in literature are examined, it is seen that different approaches have been used to solve facility layout problems. The relationship between departments in layout is always important. In this study, data mining technique is used for analyzing relations among departments and then association rules are obtained. Determining closeness relationships between the departments in facility are often ambiguous and require expert opinions. In such cases, a fuzzy component emerges in the facility layout problem. Hence, fuzzy logic is widely used to address ambiguous problems. Association rules is converted by using defuzzification approach to crisp values used facility layout problem solution in this study. Facility layout problems are considered to be NP-Hard (Nondeterministic-Polynomial-Hard) optimization problems. That is, definite solution approaches are limited in solving large-scale problem examples. For heuristic approaches are frequently used to improve the layout, simulated annealing approach is used in this study. To improve facility layout planning, simulated annealing approach is carried out via code written in Visual Basic 2012. In conclusion, 17% improvement is achieved with alternative layout plan obtained.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"8 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":"133735269","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
Channel selection from EEG signals and application of support vector machine on EEG data 脑电信号的通道选择及支持向量机在脑电信号上的应用
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090226
Mustafa Turan Arslan, S. G. Eraldemir, Esen Yildirim
{"title":"Channel selection from EEG signals and application of support vector machine on EEG data","authors":"Mustafa Turan Arslan, S. G. Eraldemir, Esen Yildirim","doi":"10.1109/IDAP.2017.8090226","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090226","url":null,"abstract":"In this study, EEG data recorded during mental arithmetic operations and silent reading were analyzed by discrete wavelet transform and feature vectors were obtained. The obtained feature vectors are classified by Support Vector Machines (SVM). Results are given for 26 channels, all recorded channels, and for 10 most effective channels. Correlation based feature selection based algorithm is used for choosing the most effective channels. Decreasing the number of channels without compromising the accuracy, is an important issue for real time applications for which a short analysis time is crucial. In this study, mental arithmetic and silent reading tasks are classified with an accuracy of 90.71%, a precision rate of 91.03% and F-measure rate of 90.63% on the average using 26 channels, whereas the accuracy, precision and F-measure were 90.44%, 90.61% and 90.08, respectively which were comparable to that of obtained using all channels, for reduced number of channels.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"10 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":"129623047","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
Analysis of complex extreme learning machine-based nonlinear equalizer for coherent optical OFDM systems 基于复杂极限学习机的相干光OFDM系统非线性均衡器分析
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090178
A. Güner, Ö. Alçin
{"title":"Analysis of complex extreme learning machine-based nonlinear equalizer for coherent optical OFDM systems","authors":"A. Güner, Ö. Alçin","doi":"10.1109/IDAP.2017.8090178","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090178","url":null,"abstract":"One major drawback of coherent optical OFDM (CO-OFDM) is its vulnerability to nonlinear fiber effects due to its high peak-to-average power ratio. Fiber nonlinearities can be mitigated using machine learning algorithms that are a nonlinear decision classifier. In this study, C-ELM based nonlinear equalizer is proposed for a MQAM CO-OFDM. MQAM CO-OFDM systems are simulated by designing a Monte Carlo simulation. In this simulation, the effect of fiber nonlinearities on received signals is demonstrated with constellation diagrams and results are given in form of BER-Fiber Length variations.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"90 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":"133414291","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
High-resolution animation of next-generation dynamics 下一代动态的高分辨率动画
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090309
Aykut Zongur, F. Talu
{"title":"High-resolution animation of next-generation dynamics","authors":"Aykut Zongur, F. Talu","doi":"10.1109/IDAP.2017.8090309","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090309","url":null,"abstract":"The try- and take- the clothes- on virtual surfaces is a long-continuing journey including many processes in itself. This continuum starts from the new generation of surfaces up to the last end of the tailor-fitting for an animation. We initiated the long-running design by seaming up of the inter-seams betwixt the pieces and proceeding with combining out the figures with these parts, and make the finalé with an unprecedent outfitting ability, respectively. We recreated and animated our models for having an up-front superiority over the other on-shelf rivals wherefore this directly originates from the unmatched realism by ours. It's highly-refined in realism terms and also in the context of recent-fineness perspectives, it's recently at the highest-standards with the chain of proposed-technics we offer. We've qualified our workflow-scheme providing much more realistic results that have ever been presented in one design & simulation system until now.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"30 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":"132569210","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
Non-local means based image enhancement on coronary angiography images 基于非局部方法的冠状动脉造影图像增强
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090255
Turab Selçuk, S. Tuncer, M. Tekinalp, A. Alkan
{"title":"Non-local means based image enhancement on coronary angiography images","authors":"Turab Selçuk, S. Tuncer, M. Tekinalp, A. Alkan","doi":"10.1109/IDAP.2017.8090255","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090255","url":null,"abstract":"Developing technological infrastructure has enabled the development of computer based biomedical systems as in many areas in the field of medicine. One of these systems are biomedical imaging systems. Many studies are being conducted for a new image processing techniques to improve the performance of this systems. Noise reduction is one of the important steps in biomedical image processing. In this study, noise reduction was performed to emphasize coronary arteries on x-ray heart angiography images. For this purpose, the original angiography images were smoothed using non-local averages. Thus, insignificant groups of pixels in the image described as noise has been removed. Then, the boundaries of coronary arteries are sharpened with first and second derivatives of image based combined enhancement method. It is seen that the mean square error values obtained by the proposed method are more successful when compared with the noise reduction results obtained using the Wiener filter. These results show that the non-local means method can be used as a successful pre-processing method for noise reduction in angiography images.","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":"114445640","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
Makİne Öğrenmesİ yÖntemlerİ İle tomatİk ÇevrİmdiŞi İmza tanima ve doğrulama Sistemİ
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090244
Büşra Baykal, Tuğçe Özge Aktaş, Oktay Yildiz
{"title":"Makİne Öğrenmesİ yÖntemlerİ İle tomatİk ÇevrİmdiŞi İmza tanima ve doğrulama Sistemİ","authors":"Büşra Baykal, Tuğçe Özge Aktaş, Oktay Yildiz","doi":"10.1109/IDAP.2017.8090244","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090244","url":null,"abstract":"In this work, a low-cost and efficient, offline signature verification system was developed. The system is designed to be composed of 4 steps: data collection, preprocessing, feature extraction and signature verification. The pre-processing phase is completed in 4 steps: graying, normalization, thresholding and image skeleton. Normalization is performed by nearest neighbor interpolation. The thresholding step is performed with the Otsu algorithm. In the last stage; The skeleton of the image is performed using the Zhang algorithm. In the third stage of the system, the feature extraction step, the Hu's invariant moments, regional features and the discrete wavelet transform were used. The generated data set has been tested separately for the selected training algorithms and for signature recognition and signature verification. As a result of the observations made, it is observed that the SVM algorithm gave the best result for signature verification.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"38 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":"114489073","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
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