2015 Signal Processing and Intelligent Systems Conference (SPIS)最新文献_第2页

Singular Lorenz Measures Method for seizure detection using KNN-Scatter Search optimization algorithm 基于knn -散射搜索优化算法的奇异洛伦兹测度癫痫检测方法

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422314

Morteza Behnam, H. Pourghassem

{"title":"Singular Lorenz Measures Method for seizure detection using KNN-Scatter Search optimization algorithm","authors":"Morteza Behnam, H. Pourghassem","doi":"10.1109/SPIS.2015.7422314","DOIUrl":"https://doi.org/10.1109/SPIS.2015.7422314","url":null,"abstract":"Offline algorithm to detect the intractable epileptic seizure of children has vital role for surgical intervention. In this paper, after preprocessing and windowing procedure by Discrete Wavelet Transform (DWT), EEG signal is decomposed to five brain rhythms. These rhythms are formed to 2D pattern by upsampling idea. We have proposed a novel scenario for feature extraction that is called Singular Lorenz Measures Method (SLMM). In our method, by Chan's Singular Value Decomposition (Chan's SVD) in two phases including of QR factorization and Golub-Kahan-Reinsch algorithm, the singular values as energies of the signal on orthogonal space for pattern of rhythms in all windows are obtained. The Lorenz curve as a depiction of Cumulative Distribution Function (CDF) of singular values set is computed. With regard to the relative inequality measures, the Lorenz inconsistent and consistent features are extracted. Moreover, the hybrid approach of K-Nearest Neighbor (KNN) and Scatter Search (SS) is applied as optimization algorithm. The Multi-Layer Perceptron (MLP) neural network is also optimized on the hidden layer and learning algorithm. The optimal selected attributes using the optimized MLP classifier are employed to recognize the seizure attack. Ultimately, the seizure and non-seizure signals are classified in offline mode with accuracy rate of 90.0% and variance of MSE 1.47×10-4.","PeriodicalId":424434,"journal":{"name":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126088544","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: 15

Entropy-based fuzzy C-means with weighted hue and intensity for color image segmentation 基于熵的加权色相和灰度模糊c均值彩色图像分割

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422320

E. Rajaby, S. Ahadi, H. Aghaeinia

引用次数: 1

Wavelet image denoising based spatial noise estimation 基于空间噪声估计的小波图像去噪

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422317

Souad Benabdelkader, Ouarda Soltani

引用次数: 4

An adaptive single image method for super resolution 一种超分辨率自适应单幅图像方法

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422334

A. Mokari, A. Ahmadyfard

引用次数: 1

A heuristic method to bias protein's primary sequence in protein structure prediction 蛋白质结构预测中一阶序列偏差的启发式方法

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422308

N. Mozayani, Hossein Parineh

{"title":"A heuristic method to bias protein's primary sequence in protein structure prediction","authors":"N. Mozayani, Hossein Parineh","doi":"10.1109/SPIS.2015.7422308","DOIUrl":"https://doi.org/10.1109/SPIS.2015.7422308","url":null,"abstract":"Protein Structure Prediction (PSP) is one of the most studied topics in the field of bioinformatics. Regarding the intrinsic hardness of the problem, during last decades several computational methods mainly based on artificial intelligence have been proposed to approach the problem. In this paper we broke the main process of PSP into two steps. The first step is making a bias in the sequence, i.e. providing a very fast yet considerably better energy of conformation compared to the primary sequence with zero energy. The second step, which is studied in the other essay, is feeding this biased sequence to another algorithm to find the best possible conformation. For the first step, we developed a new heuristic method to find a low-energy structure of a protein. The main concept of this method is based on rule extraction from previously determined conformations. We'll call this method Fast-Bias-Algorithm (FBA) mainly because it provides a modified structure with better energy from a primary (linear) structure of a protein in a remarkably short time, comparing to the time needed for the whole process. This method was implemented in Netlogo. We have tested this algorithm on several benchmark sequences ranging from 20 to 50-mers in two dimensional Hydrophobic Hydrophilic lattice models. Comparing with the result of the other algorithms, our method in less than 2% of their time reached up to 62% of the energy of their best conformation.","PeriodicalId":424434,"journal":{"name":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123696539","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

QoS parameters analysis in VoIP network using adaptive quality improvement 基于自适应质量改进的VoIP网络QoS参数分析

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422315

M. Behdadfar, Ehsan Faghihi, M. E. Sadeghi

引用次数: 10

Improved subspace-based speech enhancement using a novel updating approach for noise correlation matrix 基于噪声相关矩阵更新方法的改进子空间语音增强

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422318

N. Faraji, S. Ahadi

引用次数: 2

Salient object detection via global contrast graph 基于全局对比图的显著目标检测

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422332

F. Nouri, K. Kazemi, H. Danyali

引用次数: 4

Improving the performance of intelligent stock trading systems by using a high level representation for the inputs 通过对输入使用高级表示来提高智能股票交易系统的性能

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422304

Mojtaba Azimifar, Babak Nadjar Araabi, Hadi Moradi

引用次数: 2

Parallel secure turbo code for security enhancement in physical layer 用于物理层安全增强的并行安全涡轮码

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422336

A. Motamedi, Mohsen Najafi, N. Erami

{"title":"Parallel secure turbo code for security enhancement in physical layer","authors":"A. Motamedi, Mohsen Najafi, N. Erami","doi":"10.1109/SPIS.2015.7422336","DOIUrl":"https://doi.org/10.1109/SPIS.2015.7422336","url":null,"abstract":"Turbo code has been one of the important subjects in coding theory since 1993. This code has low Bit Error Rate (BER) but decoding complexity and delay are big challenges. On the other hand, considering the complexity and delay of separate blocks for coding and encryption, if these processes are combined, the security and reliability of communication system are guaranteed. In this paper a secure decoding algorithm in parallel on General-Purpose Graphics Processing Units (GPGPU) is proposed. This is the first prototype of a fast and parallel Joint Channel-Security Coding (JCSC) system. Despite of encryption process, this algorithm maintains desired BER and increases decoding speed. We considered several techniques for parallelism: (1) distribute decoding load of a code word between multiple cores, (2) simultaneous decoding of several code words, (3) using protection techniques to prevent performance degradation. We also propose two kinds of optimizations to increase the decoding speed: (1) memory access improvement, (2) the use of new GPU properties such as concurrent kernel execution and advanced atomics to compensate buffering latency.","PeriodicalId":424434,"journal":{"name":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122526392","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