2015 Signal Processing and Intelligent Systems Conference (SPIS)最新文献_第3页

Dynamic feature weighting for imbalanced data sets 不平衡数据集的动态特征加权

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422307

Maryam Dialameh, M. Z. Jahromi

引用次数: 4

Reduction of multi-path effect based on correlation decomposition in a DOA estimation system DOA估计系统中基于相关分解的多径效应抑制

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422303

Parisa Karimi, F. Farzaneh

引用次数: 4

High performance implementation of tax fraud detection algorithm 税务欺诈检测算法的高性能实现

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422302

M. Rad, A. Shahbahrami

{"title":"High performance implementation of tax fraud detection algorithm","authors":"M. Rad, A. Shahbahrami","doi":"10.1109/SPIS.2015.7422302","DOIUrl":"https://doi.org/10.1109/SPIS.2015.7422302","url":null,"abstract":"Tax fraud includes a large spectrum of methods to deny the facts and realities, claiming wrong information, and accomplishing financial businesses regardless of what the legal frameworks are. Nowadays, with the development tax systems and the large volume of the data stored in them, need is felt for a tool by which we can process the stored data and provide users with the information obtained from it. According to tax politics, especially value-added tax, the rate of tax fraud is now increasing. Based on the investigations, recent researchers tend to use similar and standard methods to detect tax fraud, which includes, association rules, clustering, neural networks, decision trees, Bayesian networks, regression and genetic algorithms. Because of large volume of tax database, most of the studied methods about fraud detection are computationally intensive. In order to increase the performance of fraud detection algorithms such as Bayesian networks, parallelism techniques are used in this paper. We used parallel technology of Microsoft .Net, parallel loops and P-LINQ on the Intel Xeon server with 16, X7755 dual core processors and memory of 32GB. The implementation results on real database show that a speedup of up to 9.2x is achieved.","PeriodicalId":424434,"journal":{"name":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","volume":"12 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":"127784057","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: 7

Quaternion-based salient region detection using scale space analysis 基于四元数的显著区域检测

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422316

Masoumeh Rezaei Abkenar, M. Ahmad

{"title":"Quaternion-based salient region detection using scale space analysis","authors":"Masoumeh Rezaei Abkenar, M. Ahmad","doi":"10.1109/SPIS.2015.7422316","DOIUrl":"https://doi.org/10.1109/SPIS.2015.7422316","url":null,"abstract":"A salient region is the most distinctive part of the image that captures human's attention. Saliency detection is a fundamental characteristic of the human visual system. Finding computational models which are able to detect salient regions is a challenging task for image processing and computer vision applications. Salient regions of various sizes can be detected from different scales. Therefore, selecting the best scales is an important issue. In this paper, an efficient multi-scale method to find salient regions is proposed. In order to include more features in evaluating saliency of a pixel, feature maps are generated using components of both the RGB and YUV color spaces. These features are combined into quaternions. Detecting salient regions of different sizes is addressed by utilizing a scale space analysis. Salient regions are detected by convolving the image amplitude spectrum with a low-pass Gaussian kernel of multiple scales. To incorporate more meaningful information, more than one scale is considered based on entropy criterion. The final saliency map is generated by normalizing the weighted saliency maps of these scales. Experiments are conducted on a dataset of natural images to evaluate the performance of the proposed method. Results show that the proposed method provides larger values of area under receiver operating characteristics curve, precision, recall and F-measure, in comparison to some of the state-of-the-art methods.","PeriodicalId":424434,"journal":{"name":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","volume":"39 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":"127065922","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

A modular synthesis approach for intelligent manufacturing system design: A Petri net based transformation method 智能制造系统设计的模块化综合方法:一种基于Petri网的转换方法

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422326

F. Jafarinejad, A. Pouyan

{"title":"A modular synthesis approach for intelligent manufacturing system design: A Petri net based transformation method","authors":"F. Jafarinejad, A. Pouyan","doi":"10.1109/SPIS.2015.7422326","DOIUrl":"https://doi.org/10.1109/SPIS.2015.7422326","url":null,"abstract":"Computerized Intelligent manufacturing systems are a well-known example of discrete event systems. Concurrency and asynchronous nature of these systems imply that solutions of classical control can't be effective in this domain. Moreover, in real world manufacturing systems such as cable manufacturing systems design and analysis of the large scale system awards a new problem in automated design and diagnosis. Petri net as a high level graphical and formal specification language has the ability of modeling most of properties of these systems such as non-determinism, concurrency, mutual exclusion etc. They offer a solution both in modeling and verification of these systems. Furthermore, different Petri net transformation techniques grant a divide and conquer approach for large scale real world systems. This paper offers a modular hybrid model for designing a cable manufacturing systems and its verification. Giving well-behaved modules of system, this approach outputs a well-behaved system through some property preserving transformations without extra verification of the whole system. Finally, the model is able to be compiled into control codes and implemented in hardware to control procedure of system runs.","PeriodicalId":424434,"journal":{"name":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","volume":"72 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":"128191718","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

Recognition of speaker-independent isolated Persian digits using an enhanced vector quantization algorithm 使用增强的矢量量化算法识别与说话人无关的孤立波斯语数字

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422333

M. Jamali, Vahid Ghafarinia, M. A. Montazeri

{"title":"Recognition of speaker-independent isolated Persian digits using an enhanced vector quantization algorithm","authors":"M. Jamali, Vahid Ghafarinia, M. A. Montazeri","doi":"10.1109/SPIS.2015.7422333","DOIUrl":"https://doi.org/10.1109/SPIS.2015.7422333","url":null,"abstract":"Vector quantization (VQ) is a fast and simple classification algorithm that has been widely employed for the recognition of isolated spoken words. However, this algorithm and most of its improved versions fail to accurately distinguish words with similar vowels. The spoken pattern of digits/dow/ and/noh/ (2 and 9 respectively) in Persian is a good example for this type of similarity. In this paper we have proposed an enhanced vector quantization algorithm in which the deterministic role of the short consonants at the beginning of the words is taken into account. In this algorithm an unknown vector is judged based on the classification results of two set of codebooks. The first set of codebooks is constructed by the initial portions of the words while the other set is constructed by the whole words. The performance of the proposed algorithm was experimentally verified against other VQ-based algorithms. While the overall performance of the proposed algorithm was above the others, in the case of similar words it could remarkably decrease the number of misclassification. This improvement was achieved by only a small increase in the computational load.","PeriodicalId":424434,"journal":{"name":"2015 Signal Processing and Intelligent Systems Conference (SPIS)","volume":"1 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":"128238374","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

A novel method for multiple-query image retrieval 一种新的多查询图像检索方法

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422313

M. Taghizadeh, A. Chalechale

引用次数: 2

On the relationship of the Cramer-Rao lower bound and channel capacity in an interfered binary channel through the log-likelihood ratio 用对数似然比研究干扰二值信道中Cramer-Rao下界与信道容量的关系

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422324

Marziyeh Meamaripour, Mohammad Saberali

引用次数: 0

Semi-supervised intrusion detection via online laplacian twin support vector machine 基于在线拉普拉斯双支持向量机的半监督入侵检测

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422328

Arezoo Mousavi, S. S. Ghidary, Zohre Karimi

引用次数: 7

Predicting best answer using sentiment analysis in community question answering systems 在社区问答系统中使用情感分析预测最佳答案

2015 Signal Processing and Intelligent Systems Conference (SPIS) Pub Date : 2015-12-01 DOI: 10.1109/SPIS.2015.7422311

Fatemeh Eskandari, Hamid Shayestehmanesh, S. Hashemi

引用次数: 8