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Neural network based image deblurring 基于神经网络的图像去模糊
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6420015
N. Kumar, R. Nallamothu, A. Sethi
{"title":"Neural network based image deblurring","authors":"N. Kumar, R. Nallamothu, A. Sethi","doi":"10.1109/NEUREL.2012.6420015","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6420015","url":null,"abstract":"In this paper, we propose a learning based technique for imagedeblurring using artificial neural networks. We model the original image as Markov Random field and the blurred image as degraded version of the original MRF. We do not make any prior assumptions for the blur kernel and develop the proposed algorithm by taking into account the space varying nature of the blur kernel. We re-formulate the image deblurring problem problem in terms of learning the mapping between original-MRF (original image) and degraded-MRF (blurred image), which is generally nonlinear. Instead of learning parameters of proposed MRF, a simple three layer neural network with backpropagation algorithm is used to learn the desired nonlinear mapping. Results of the experimentation on real data are presented.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"509 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115893616","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: 6
FMRI based connectivity analysis of perisylvian language related brain areas 基于FMRI的波斯语相关脑区连通性分析
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6420005
O. Sveljo, L. Leistritz, K. Koprivsek, M. Lucic, H. Witte
{"title":"FMRI based connectivity analysis of perisylvian language related brain areas","authors":"O. Sveljo, L. Leistritz, K. Koprivsek, M. Lucic, H. Witte","doi":"10.1109/NEUREL.2012.6420005","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6420005","url":null,"abstract":"Usually, the focus of fMRI studies is the identification of brain regions that change level of activations as a response to specific stimuli. On the other hand, possible connectivity modeling between activated brain areas remains an open question. Based on fMRI data, in the last decades different methods for uncovering interactions between brain areas have been proposed. In this study we used the generalized Partial Directed Coherence (gPDC) to identify directed interactions between activated brain areas during self paced block fMRI paradigm for the identification of perisylvian language related brain areas.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124955749","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
Dimensioning the heating system for residential buildings using neural networks 应用神经网络对住宅供热系统进行尺寸标注
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6420032
D. Lacrama, F. A. Pintea, M. T. Karnyanszky
{"title":"Dimensioning the heating system for residential buildings using neural networks","authors":"D. Lacrama, F. A. Pintea, M. T. Karnyanszky","doi":"10.1109/NEUREL.2012.6420032","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6420032","url":null,"abstract":"This paper is focused on the development of a neural solution to the residential buildings' heating design. Basically it is about a large and complex design formula which we propose to compute employing a Multilayer Perceptron. The experimental results presented in the fourth section prove neural network can be a good design tool in this area.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121714308","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
ANN application for the next day peak electricity load prediction 应用人工神经网络进行次日峰值电力负荷预测
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6420024
J. Milojković, I. Litovski, V. Litovski
{"title":"ANN application for the next day peak electricity load prediction","authors":"J. Milojković, I. Litovski, V. Litovski","doi":"10.1109/NEUREL.2012.6420024","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6420024","url":null,"abstract":"One step ahead prediction of peak electricity loads based on artificial neural networks (ANN) is presented. Two architectures of ANNs were implemented to produce predictions that were used to generate the final value as an average. The time instants when daily peak loads occur are produced simultaneously. Examples will be given confirming both the feasibility of the method and the need for further elaboration of the procedure.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134218427","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
Probabilistic model for minor component analysis based on born rule 基于born规则的小分量分析概率模型
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6419971
M. Jankovic, M. Manic, B. D. Relijn
{"title":"Probabilistic model for minor component analysis based on born rule","authors":"M. Jankovic, M. Manic, B. D. Relijn","doi":"10.1109/NEUREL.2012.6419971","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6419971","url":null,"abstract":"Minor component analysis (MCA) is commonly applied technique for data analysis and processing, e.g. compression or clustering. In this paper we propose a probabilistic MCA model based on the Born rule. In off-line realization it can be seen as a successive optimization problem. In the on-line realization it will be solved by introduction of two different time scales. It will be shown that recently proposed time oriented hierarchical method, can be used as a concept for on-line realization of the proposed algorithms. The proposed model gives general framework for creating different MCA realizations/algorithms. A particular realization can optimize locality of calculation, convergence speed, preciseness or some other parameter of interest.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895175","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: 3
Frequency domain characterization of a solar cell 太阳能电池的频域特性
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6420031
Miona Andrejević Stošović, D. Lukač, I. Litovski, V. Litovski
{"title":"Frequency domain characterization of a solar cell","authors":"Miona Andrejević Stošović, D. Lukač, I. Litovski, V. Litovski","doi":"10.1109/NEUREL.2012.6420031","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6420031","url":null,"abstract":"The generation of a small signal dynamic model of a solar cell was investigated. As a starting structure the usual one diode large signal dynamic model was used with known parameter values. A simple parallel linear RC circuit was used to represent the model while the element values were put to be functions of the illumination here represented by the photo-current. The element value versus photocurrent dependences were captured by artificial neural networks one per element. Verification of the model was performed by comparisons of the responses of the original nonlinear dynamic model and the linear RC model to a chirp signal of small amplitude.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132051799","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: 10
The potential of imagination and artificial afference in stroke rehabilitation 想象与人工感应在脑卒中康复中的潜力
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6419979
N. Mrachacz‐Kersting, N. Jiang, I. Niazi, A. Pavlovic, S. Radovanovic, V. Kostic, K. Dremstrup, D. Farina
{"title":"The potential of imagination and artificial afference in stroke rehabilitation","authors":"N. Mrachacz‐Kersting, N. Jiang, I. Niazi, A. Pavlovic, S. Radovanovic, V. Kostic, K. Dremstrup, D. Farina","doi":"10.1109/NEUREL.2012.6419979","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6419979","url":null,"abstract":"We present a novel rehabilitation strategy based on LTP-like plasticity applied to 13 chronic stroke patients. Patients attended 3 sessions where they were asked to attempt a simple dorsiflexion task 50 times while the generated movement potentials (MRCP) were recorded using scalp electrodes. A single peripheral nerve stimulus was applied to the common peroneal nerve timed to arrive during the most negative peak of the MRCP. Motor evoked potentials, quantified prior to and following the interventions increased significantly (80%), as did the functional tasks (8% in 10m walk test and 18% in the foot tapping task).","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121183071","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
Protein surface atom neighbourhoods classification 蛋白质表面原子邻域分类
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6419994
P. Cristea, O. Arsene, R. Tuduce, D. Nicolau
{"title":"Protein surface atom neighbourhoods classification","authors":"P. Cristea, O. Arsene, R. Tuduce, D. Nicolau","doi":"10.1109/NEUREL.2012.6419994","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6419994","url":null,"abstract":"The paper presents a classification of the protein surface atom neighbourhoods from the hydrophobicity perspective. Hydrophobicity is the property which is considered around each surface atom. The actual hydrophobicity distribution on the atoms that form an atom's vicinity is replaced by an equivalent hydrophobicity density distribution, computed in a standardized octagonal pattern around the atom. All atoms hydrophobicity densities are clustered using K-means algorithm. A three layers neural network is trained for classification of the atoms vicinities having as many nodes in the output layers as clusters are.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115707229","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
Automatic melody generation using Neural Networks and Cellular Automata 使用神经网络和细胞自动机的自动旋律生成
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6419972
I. D. Matic, A. P. Oliveira, A. Cardoso
{"title":"Automatic melody generation using Neural Networks and Cellular Automata","authors":"I. D. Matic, A. P. Oliveira, A. Cardoso","doi":"10.1109/NEUREL.2012.6419972","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6419972","url":null,"abstract":"This paper discusses solutions for generating melodies in the context of a system that intends to produce music with a specified emotional content. The research sets up from an existing system, which produces music by manipulating and combining MIDI music. We aim to analize the benefit from using automatic music composition techniques in order to improve musical quality, while conforming with the desired emotional content. We considered Neural Networks and Cellular Automata for the task.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125502768","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: 3
Joint time-frequency analysis of phonocardiograms 心音图联合时频分析
11th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2012-09-01 DOI: 10.1109/NEUREL.2012.6420002
A. Gavrovska, M. Slavkovic, M. Paskas, D. Dujković, I. Reljin
{"title":"Joint time-frequency analysis of phonocardiograms","authors":"A. Gavrovska, M. Slavkovic, M. Paskas, D. Dujković, I. Reljin","doi":"10.1109/NEUREL.2012.6420002","DOIUrl":"https://doi.org/10.1109/NEUREL.2012.6420002","url":null,"abstract":"Joint time-frequency representations of phonocardiograms enable fundamental characteristics of heart sounds and other physiological changes important for diagnostics to be more visible compared to time and frequency domain, separately. This paper discuss possibilities for relevant component extraction in such representations. Due to improved visual inspection and fast digital signal processing capabilities, a number of additional tools may be provided for the purpose of computer-aided auscultation, physiological monitoring systems and computer-aided cardiological diagnostic systems.","PeriodicalId":343718,"journal":{"name":"11th Symposium on Neural Network Applications in Electrical Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128027064","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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