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2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献

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An efficient inference in meanfield approximation by adaptive manifold filtering (Machine learning & data mining) 基于自适应流形滤波的平均场近似有效推理(机器学习与数据挖掘)
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993439
Sara Ershadi Nasab, Sadegh Ramezanpur, S. Kasaei, E. Sanaei
{"title":"An efficient inference in meanfield approximation by adaptive manifold filtering (Machine learning & data mining)","authors":"Sara Ershadi Nasab, Sadegh Ramezanpur, S. Kasaei, E. Sanaei","doi":"10.1109/ICCKE.2014.6993439","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993439","url":null,"abstract":"A new method for speeding up the approximate maximum posterior marginal (MPM) inference in meanfield approximation of a fully connected graph is introduced. Weight of graph edges is measured by mixture of Gaussian kernels. This fully connected graph is used for segmentation of image data. The bottleneck of the inference in meanfield approximation is where the similar bilateral filtering is needed for updating the marginal in the message passing step. To speed up the inference, the adaptive manifold high dimensional Gaussian filter is used. As its time complexity is 0(ND), it leads to accelerating the marginal update in the message passing step. Its time complexity is linear and relative to the dimension and number of graph nodes. To improve the accuracy of segmentation, instead of the bilateral filter, the non-local mean filter is used. The proposed inference method is more accurate and needs less computations when compared to other existing methods.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127942045","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 new approach for feature extraction with applications to Automatic Writer Recognition 一种新的特征提取方法及其在自动写作者识别中的应用
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993341
A. Zarei, R. Safabakhsh
{"title":"A new approach for feature extraction with applications to Automatic Writer Recognition","authors":"A. Zarei, R. Safabakhsh","doi":"10.1109/ICCKE.2014.6993341","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993341","url":null,"abstract":"Automatic Writer Recognition based on scanned images of handwriting is a behavioral biometric method which has applications in forensic and historical document analysis. In this paper, an efficient method for feature extraction from handwritten images is presented. In our proposed method, the normal vectors of the outer contour points of each connected-component are calculated and the sequence of obtained normal vectors is encoded to be rotation invariant and scale invariant. Also, two weighted histograms are designed to generate the feature vector of the input image by putting together the probability mass functions obtained using these histograms. A dataset consisted of 100 people's Persian handwriting have been gathered to evaluate the proposed method. The experimental results are satisfactory and the accuracy of the proposed method is 97% on our dataset.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128540583","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
Introducing new ICT- based frequency control strategy in microgrids 介绍了基于信息通信技术的微电网频率控制新策略
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993456
Iman Khoshian, M. Mashhadi, Younes Khoshian
{"title":"Introducing new ICT- based frequency control strategy in microgrids","authors":"Iman Khoshian, M. Mashhadi, Younes Khoshian","doi":"10.1109/ICCKE.2014.6993456","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993456","url":null,"abstract":"Smart grids known as future of current power systems enable usage of two way information and power flow. Implementing demand response (DR) programs and integrating electric vehicles with V2G capability in smart grids are not possible without taking advantage of information and communication technologies (ICTs). One of the areas that ICTs can be helpful is primary frequency control (PFC). Frequency control in microgrids (MGs) due to intermittent generation of renewable resources is a challenging task. These renewable resources like wind and solar energies introduce lots of uncertainties in generation. Thus, utilizing new resources of primary reserve and new frequency control strategies in MGs is essential. In this paper, a novel strategy for primary frequency control in MGs is presented. This strategy combines fast ramp rate capability and demand response for improving primary frequency control in MGs. Simulation results in different situations show that the proposed strategy covers renewable generation uncertainties properly. The impacts of using energy stored in batteries of electric vehicles (EVs) in primary frequency control also studied. It is indicated that in high penetration of renewable generation, by using energy of EV batteries, frequency can be controlled in any condition. Therefore, maximum penetration limit of renewables in microgrid increase.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121134103","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
Energy balancing in cooperative sensor networks 协同传感器网络中的能量平衡
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993426
S. Alirezaee, M. Ahmadi, S. Erfani, S. Akbari, A. Ahmadi, M. Naserian
{"title":"Energy balancing in cooperative sensor networks","authors":"S. Alirezaee, M. Ahmadi, S. Erfani, S. Akbari, A. Ahmadi, M. Naserian","doi":"10.1109/ICCKE.2014.6993426","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993426","url":null,"abstract":"Many routing strategies have been proposed to reduce the implementation complexity of multihop sensor networks. Specifically, a combination of routing scheme and cooperative variety by considering a realistic channel model is considered and the energy constraints is applied to the existing routing strategies. The proposed strategy, by considering energy parameters, balances energy consumption among relays considerably. Simulation results indicate that the End-to-End outage of presented energy balancing method is less than the ad-hoc approach and the useful lifetime of the network significantly increases.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132223447","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 genetic fuzzy linguistic rule based approach for dynamic classifier selection in distributed data enviroments 分布式数据环境下基于遗传模糊语言规则的动态分类器选择方法
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993429
F. Fatemipour, M. Akbarzadeh-T.
{"title":"A genetic fuzzy linguistic rule based approach for dynamic classifier selection in distributed data enviroments","authors":"F. Fatemipour, M. Akbarzadeh-T.","doi":"10.1109/ICCKE.2014.6993429","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993429","url":null,"abstract":"The rapidly growing amount of data being produced in the world has become a challenging problem for decision support systems. These data are located in disparate sites while time, cost and privacy concerns makes it impossible to aggregate them into one location. Information fusion systems aim to make decisions by getting the outputs of the distributed sources. Since each source is making its local decision with its own part of the entire available data, their outputs are uncertain and sometimes unreliable. Selection of competent sources for fusion is a key stage in information fusion systems. This can be done either statically or dynamically. In this paper we propose a dynamic source selection and fusion method using a fuzzy linguistic rule based system. The system is created and optimized by means of a genetic algorithm. The proposed system has the ability to deal with the curse of dimensionality and has a human understandable structure. Also by using a dynamic selection strategy in a fuzzy rule based system, it is able to make accurate decisions with multiple sources' uncertain decisions.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134165276","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
GPS clock based one way delay measurement and modeling in web environment web环境下基于GPS时钟的单向时延测量与建模
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993464
Abdollah Hasan Nezhad, Yaghoub Azizi
{"title":"GPS clock based one way delay measurement and modeling in web environment","authors":"Abdollah Hasan Nezhad, Yaghoub Azizi","doi":"10.1109/ICCKE.2014.6993464","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993464","url":null,"abstract":"Delay is one of the main parameters in determining quality of service and topology of network. One way delay provides us with more information than that a round trip time does and it also involves more intricate calculations. In this paper, two measuring devices are designed and implemented that can measure the one way delay present between two distant points in web environment using GPS clock and based on active measurement. The results obtained from these measurements were then analyzed and modeled, meanwhile VPN network behavior and packet size effect on the amount of delay were also investigated as well. Delay could be measured at anywhere and anytime with low costs and accuracy of 20 microseconds and accuracy of synchronization of 30 nanoseconds with only IP, MAC and Gateway addresses in hand, utilizing the devices made based on this approach.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"37 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123274917","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
Spectrum allocation using fuzzy logic with optimal power in wireless network 无线网络中基于最优功率的模糊逻辑频谱分配
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993403
A. Mohammadi, M. Dehghani
{"title":"Spectrum allocation using fuzzy logic with optimal power in wireless network","authors":"A. Mohammadi, M. Dehghani","doi":"10.1109/ICCKE.2014.6993403","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993403","url":null,"abstract":"This paper presents an autonomous method which is based on the fuzzy logic and optimal power in orthogonal frequency division multiple access (OFDMA). Our proposed method assigns resource blocks (RBs) to users using the fuzzy logic, where transmitted power is calculated for each RB, without any communication between cells. Gathering information such as, required rate of a user, desired signal level, fading on each RB, and the interference level seen of each RB results in completely autonomous approach. Using fuzzy logic our proposed method determine the optimal RB assignment. Moreover, this method calculates the required power to achieve desired RB taking into account the signal quality. Therefore, the presented method potentially satisfies user rate and provides appropriate quality of service (QoS). Simulation results show that proposed method reduces average power while achieving a high sum rate for users with low computational complexity. Therefore, the proposed methods' solution is reasonably close to optimal solution.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124790918","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: 9
Progressive SAR image compression using low complexity Bandlet transform and modified EZBC 基于低复杂度Bandlet变换和改进EZBC的渐进式SAR图像压缩
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993416
Maryam Kuchakzadeh, H. Danyali, S. Samadi
{"title":"Progressive SAR image compression using low complexity Bandlet transform and modified EZBC","authors":"Maryam Kuchakzadeh, H. Danyali, S. Samadi","doi":"10.1109/ICCKE.2014.6993416","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993416","url":null,"abstract":"In this paper, we introduce a progressive SAR image compression based on Bandlet transform (BT) and a modified Embedded Zero-Block Coding (EZBC) algorithm. Bandlet transform as a new developed adaptive multiresolution geometry analysis tool exhibits enormous potential in compression based on geometric regularity. Since in SAR images, important information is spread in the entire frequency spectrum, discrete wavelet transform (DWT) cannot provide optimal representation and instead Bandlet transform is employed to provide a sparse representation of the image. A modified version of EZBC algorithm is introduced to efficiently encode the Bandlet coefficient in a progressive manner in which fidelity of the reconstructed image in the decoder gradually improves as more bits are received and decoded. Numerical tests show that our method provide a significant improvement particularly for low bit rate SAR image compression.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127504055","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
How computational neuroscience could help improving face recognition systems? 计算神经科学如何帮助改进人脸识别系统?
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993453
S. Karimimehr, M. Yazdchi
{"title":"How computational neuroscience could help improving face recognition systems?","authors":"S. Karimimehr, M. Yazdchi","doi":"10.1109/ICCKE.2014.6993453","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993453","url":null,"abstract":"Computational neuroscience is a growing discipline in science, which tries to understand the operations of human brain and inspire from it as a new computational paradigm. Face recognition is an important question both in pattern recognition and neuroscience. In the last few years, neuroscientists found many facts about object recognition in primate's brain. Here, we propose a cortex inspired face recognition system which uses some findings about the brain such as the operations of feature extractor cells in visual cortex and the function of attention in discarding distracting parts of the images. Now it is the time to merge the knowledge of learning systems with biological findings. The proposed method named Advanced Neurologically Inspires Face recognition (ANIF) system is compared with previous model NIF and some well-known face recognition algorithms within different datasets, which shows remarkable results.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125329817","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
Disease detection in medical prescriptions using data mining tools 基于数据挖掘工具的医学处方疾病检测
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993357
M. S. Alamdari, M. Teimouri, F. Farzadfar, Amir Hashemi-Meshkini
{"title":"Disease detection in medical prescriptions using data mining tools","authors":"M. S. Alamdari, M. Teimouri, F. Farzadfar, Amir Hashemi-Meshkini","doi":"10.1109/ICCKE.2014.6993357","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993357","url":null,"abstract":"Prevalence of communicable and non-communicable diseases is one of the most important categories of epidemiological data that is used for interpreting health status of communities. This study is aimed to calculate the prevalence of outpatient diseases through characterization of outpatient prescriptions. The data used in this study is collected from 1412 prescriptions of various diseases and we have focused on the identification of ten diseases. In this study data mining tools is used to identify diseases related to each prescription. Then we have compared the performance of these methods with a Naïve method. The results indicate that implementation of data mining algorithms has a good performance in characterization of outpatient diseases. These results can help to choose the appropriate method for classification of prescriptions in larger scales.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116727048","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
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