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2018 14th Symposium on Neural Networks and Applications (NEUREL)最新文献

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Improving the Efficiency of the Support Vector Decomposition Machine 提高支持向量分解机的效率
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8586993
P. Tadić, N. Asadi, Nikola Popovic, Z. Obradovic
{"title":"Improving the Efficiency of the Support Vector Decomposition Machine","authors":"P. Tadić, N. Asadi, Nikola Popovic, Z. Obradovic","doi":"10.1109/NEUREL.2018.8586993","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8586993","url":null,"abstract":"The Support Vector Decomposition Machine is a supervised dimensionality reduction technique which simultaneously minimizes reconstruction error and classification loss. To guarantee a unique minimum, a set of arbitrary constraints are introduced. We propose a different set of constraints, which result in a much more efficient implementation, drastically reducing both training and inference time in simulations with synthetic data.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115450590","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
Modeling and Optimization of Hexavalent Chromium Sorption onto Amberjet 1200H by Using Multiple-Linear Regression Amberjet 1200H吸附六价铬的多元线性回归建模与优化
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8586991
A. E. Tümer, Serpil Edebali
{"title":"Modeling and Optimization of Hexavalent Chromium Sorption onto Amberjet 1200H by Using Multiple-Linear Regression","authors":"A. E. Tümer, Serpil Edebali","doi":"10.1109/NEUREL.2018.8586991","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8586991","url":null,"abstract":"In this study, multiple-linear regression (MLR) model was used to predict the efficiency of two commercial resins, Amberjet 1200H and Diaion CR11, used for the removal of Cr (III) from aqueous solutions. The effects of descriptors used in the experiments (pH, amount of resin, temperature, contact time and concentration) on the removal were investigated with 36 different laboratory studies. The removal efficiency was calculated. Two regression models were developed with MLR analysis which is used to describe the effects of experiment parameters. The performances of both models developed to determine the removal efficiency of these sorption systems were found satisfactory. Statistical results indicated that Amberjet 1200H was more effective than Diaion CR11 for the removal of Cr(III).","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114691622","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
Real-Time Multi-Sensor Infrared Imagery Enhancement 实时多传感器红外图像增强
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8587023
B. Stojanovic, Snezana Puzović, Nataša Vlahović, Ranko Petrović, Srđan Stanković
{"title":"Real-Time Multi-Sensor Infrared Imagery Enhancement","authors":"B. Stojanovic, Snezana Puzović, Nataša Vlahović, Ranko Petrović, Srđan Stanković","doi":"10.1109/NEUREL.2018.8587023","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8587023","url":null,"abstract":"Video enhancement algorithms in long-range multi-sensor surveillance systems are of great importance. Infrared sensors typically suffer from blur and noise originating from sensors and their environment. This paper proposes a real-time infrared imaging enhancement algorithm, applicable to multiple sensor types. The research presented in this paper is introductory for developing smart, adaptive, machine learning based enhancement systems.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114776621","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
On Pattern Formation in Homogeneous and Nonhomogeneous Cellular Neural Networks 齐次和非齐次细胞神经网络的模式形成
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8587007
L. Goras, Viorel-Stefan Savinescu, N. Ioan
{"title":"On Pattern Formation in Homogeneous and Nonhomogeneous Cellular Neural Networks","authors":"L. Goras, Viorel-Stefan Savinescu, N. Ioan","doi":"10.1109/NEUREL.2018.8587007","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8587007","url":null,"abstract":"The aim of this communication is to review and discuss several aspects regarding pattern formation and mode competition in homogeneous and nonhomogeneous Cellular Neural Networks. The main idea is to emphasize the role of the Laplacian eigenvectors and eigenvalues with positive real part in pattern formation both in homogeneous and nonhomogeneous arrays for the spatio-temporal dynamics.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121656078","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
EEG alphabet speller with Neural Network classifier for P300 signal detection 基于神经网络分类器的脑电图字母拼写器P300信号检测
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8587033
G. Tsenov, V. Mladenov
{"title":"EEG alphabet speller with Neural Network classifier for P300 signal detection","authors":"G. Tsenov, V. Mladenov","doi":"10.1109/NEUREL.2018.8587033","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8587033","url":null,"abstract":"This paper presents the implementation of a P300 alphabet speller study case. The speller is based on methodology in which alphabet symbols are displayed in real-time on screen to test subjects, with real-time electroencephalograph measurement of human brainwaves, with P300 event evoked potential signal detection. The implementation is done in MATLAB with Emotiv Epoc EEG+ headset.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"525 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133952587","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
The Skyline Image Segmentation using Color and Detail Clustering 使用颜色和细节聚类的Skyline图像分割
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8586988
A. Pavlović, A. Gavrovska, Nataša S. Milosavljević
{"title":"The Skyline Image Segmentation using Color and Detail Clustering","authors":"A. Pavlović, A. Gavrovska, Nataša S. Milosavljević","doi":"10.1109/NEUREL.2018.8586988","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8586988","url":null,"abstract":"There are a lot of different segmentation methods used to locate objects or particular scene parts. One of the most interesting scene parts can be horizon or skyline. The proper skyline image segmentation includes proper division into three clusters: sky, skyline region and the rest of the image. This paper analyzes the influence of color for the skyline-based segmentation.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131892233","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
Detection of Traffic Violations of Road Users Based on Convolutional Neural Networks 基于卷积神经网络的道路使用者交通违法行为检测
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8586996
Jakub Špaňhel, Jakub Sochor, A. Makarov
{"title":"Detection of Traffic Violations of Road Users Based on Convolutional Neural Networks","authors":"Jakub Špaňhel, Jakub Sochor, A. Makarov","doi":"10.1109/NEUREL.2018.8586996","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8586996","url":null,"abstract":"In this paper, we explore the implementation of vehicle and pedestrian detection based on neural networks in a real-world application. We suggest changes to the previously published method with respect to capabilities of low-powered devices, such as Nvidia Jetson platform. Our experimental evaluation shows that detectors are capable of running 10.7 FPS on Jetson TX2 and can be used in real-world applications.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116391056","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
Impact of Errors in Carbohydrate Estimation on Control of Blood Glucose in Type 1 Diabetes 碳水化合物估算误差对1型糖尿病血糖控制的影响
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8586983
Qingnan Sun, Marko V. Jankovic, S. Mougiakakou
{"title":"Impact of Errors in Carbohydrate Estimation on Control of Blood Glucose in Type 1 Diabetes","authors":"Qingnan Sun, Marko V. Jankovic, S. Mougiakakou","doi":"10.1109/NEUREL.2018.8586983","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8586983","url":null,"abstract":"This article investigates the impact of carbohydrate (CHO) estimation error on three different algorithms for insulin treatment optimisation. The experiments were conducted using the educational version of the UVa/Padova simulator on 11 virtual adult subjects. Under different CHO estimation error levels, two ways of CHO amount announcements were investigated: numerical value and categorical value (Small, Medium, and Large). Results of experiments suggest that by low CHO estimation error, the way of CHO level announcement has low impact on algorithm quality. As the error increases more intelligent algorithmic approaches need to be investigated.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126959585","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
On Extended Quantum-Holographic Framework for Control of Macro-Quantum Correlations of Individual and Collective Consciousness 控制个体和集体意识宏观量子关联的扩展量子全息框架
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8587025
D. Raković
{"title":"On Extended Quantum-Holographic Framework for Control of Macro-Quantum Correlations of Individual and Collective Consciousness","authors":"D. Raković","doi":"10.1109/NEUREL.2018.8587025","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8587025","url":null,"abstract":"Tesla’s visions and inventions realized in his controlled altered states of consciousness, are proposed to be manifestations of his meditation insights and macro-quantum correlations of individual and collective consciousness, with significant quantum-holographic creative-educational and psychosomatic-spiritual implications. In wider context, this could help improve future holistic strategies for both education and for transpersonal psychology and integrative medicine.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126789979","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
The Spiking Neural Network Agent – The Initial Experimental Study 脉冲神经网络智能体的初步实验研究
2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI: 10.1109/NEUREL.2018.8587034
Adam Barton
{"title":"The Spiking Neural Network Agent – The Initial Experimental Study","authors":"Adam Barton","doi":"10.1109/NEUREL.2018.8587034","DOIUrl":"https://doi.org/10.1109/NEUREL.2018.8587034","url":null,"abstract":"The aim of this paper is a proposal of a spiking neural network circuit design continuously modifying synaptic strengths between neurons through the spike-timing-dependent plasticity to fulfil the agent objective. The network consists of Izhikevich neurons controlling an agent which uses three sensors to associate obstacles to the defined classes in its environment. The environment is formed as a torus of revolution. The reinforcement of synapses of the control network is based on the spike-timing-dependent plasticity (STDP), which is modulated by extracellular dopamine. The controlled agent may perform four different output actions: move forward, turn left, turn right, and release repulse beacon to avoid all obstacles with a negative impact on the agent. The testing environment has been populated with obstacles randomly placed in the torus. Experiments confirmed that the agent is able to associate negative and positive object classes in its environment. The continuation of this work was outlined in the conclusion.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133311559","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
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