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2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献

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CaTa-VN: Coordinated and topology-aware virtual network service provisioning in data centers network CaTa-VN:数据中心网络中协调的、拓扑感知的虚拟网络业务发放
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167904
A. Jahani, L. M. Khanli
{"title":"CaTa-VN: Coordinated and topology-aware virtual network service provisioning in data centers network","authors":"A. Jahani, L. M. Khanli","doi":"10.1109/ICCKE.2017.8167904","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167904","url":null,"abstract":"Nowadays cloud computing services are being extensively used for server hosting, data storage, processing, computing, and scientific and research purposes. So data centers are the substrate of any type of services in cloud computing infrastructure. Virtualization technology provides the infrastructure of various virtual elements on similar substrate/physical infrastructure. Network virtualization process includes two steps of node mapping and link mapping that provides the substrate network for each virtual network and is referred to as Virtual Network Embedding (VNE). This paper proposes a new VNE algorithm called CaTa-VN that is substrate network topology-aware and do VNE steps in a coordinated way. We appraise and compare the proposed CaTa-VN algorithm with two other related works with random topology. Experimental results demonstrate that CaTa-VN algorithm increases revenue and acceptance ratio and decrease cost.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130968009","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
Residential power consumption forecasting in the smart grid using ANFIS system 基于ANFIS系统的智能电网居民用电量预测
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167938
Mahmoud Abbasi Nokar, F. Tashtarian, M. Moghaddam
{"title":"Residential power consumption forecasting in the smart grid using ANFIS system","authors":"Mahmoud Abbasi Nokar, F. Tashtarian, M. Moghaddam","doi":"10.1109/ICCKE.2017.8167938","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167938","url":null,"abstract":"This paper offers a form of filtration based on moving average filter and KNN imputation method, for pre-processing hourly electricity load data for Short-Term Load Forecasting (STLF). The STLF is developed by the Adaptive Network Based Fuzzy Inference System (ANFIS). There is a lack of data pre-processing related to load forecasting, especially STLF. Unlike previous studies, to enhance the accuracy of forecasting, the current study considers data pre-processing as well. We propose a machine learning model using the ANFIS to forecast short-term load. The electricity load data are used for training and testing the proposed model. The predictor's outputs show that the model able to forecast electricity load in an accurate way. We believe the proposed pre-processing method can be used in the future studies to increase forecast accuracy.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127644421","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
RAPP: An efficient revocation scheme with authentication and privacy preserving for vehicular ad-hoc networks RAPP:一种针对车载自组织网络的具有身份验证和隐私保护的有效撤销方案
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167905
Amirreza Sarencheh, M. R. Asaar, M. Salmasizadeh, M. Aref
{"title":"RAPP: An efficient revocation scheme with authentication and privacy preserving for vehicular ad-hoc networks","authors":"Amirreza Sarencheh, M. R. Asaar, M. Salmasizadeh, M. Aref","doi":"10.1109/ICCKE.2017.8167905","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167905","url":null,"abstract":"It is necessary for Vehicular Ad-hoc Network (VANET) to preserve itself against misbehaving vehicles which are reporting wrong and invalid information. Generally, vehicles revocation checking is together with their private information leakage while users do not want their private information to be revealed. Therefore, an authentication and conditional privacy preserving scheme which is efficiently revoking the misbehaving vehicles is needed. In this paper, we introduce a novel Revocation scheme with Authentication and Privacy Preserving (RAPP) which efficiently revokes the misbehaving users after enough protests have been received, while meets security requirements. In the proposed scheme, the whole territory is broken into several areas, in which each Road Side Unit (RSU) has duty for managing its coverage area's Revocation Lists (RLs). Our RAPP method does not use public key certificates; whereas, exploits a lightweight encryption to evade time consuming Certificate Revocation Lists (CRLs) checking. The time for key updating is more than 423 times faster than the previous scheme and also, the required time for vehicle revocation is 15 times faster than the previous work. The security analysis and performance evaluation show the high security and efficiency of the proposed scheme in comparison with the related works.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125362770","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
A new algorithm for multimodal medical image fusion based on the surfacelet transform 基于曲面小波变换的多模态医学图像融合新算法
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167911
Behzad Rezaeifar, M. Saadatmand-Tarzjan
{"title":"A new algorithm for multimodal medical image fusion based on the surfacelet transform","authors":"Behzad Rezaeifar, M. Saadatmand-Tarzjan","doi":"10.1109/ICCKE.2017.8167911","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167911","url":null,"abstract":"Nowadays, medical imaging becomes a common part of everyday clinical practices. Despite enormous progresses, still there is no single modality which can represent all aspects of the human body. For example, CT is suitable to view dense structures while MRI provides high resolution for soft tissue. In this paper, we propose a novel method for fusion of multimodal medical images. First, the surfacelet transform is used to decompose the source images. Then, we effectively combine the low and high frequency coefficients. Finally, inverse transform would provide the fused image. Experimental results exhibited the superior solution quality of our approach in comparison to a number of well-known counterpart algorithms.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125455268","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
Improving the precision of KNN classifier using nonlinear weighting method based on the spline interpolation 基于样条插值的非线性加权方法提高KNN分类器的精度
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167893
Farideh Sanei, A. Harifi, S. Golzari
{"title":"Improving the precision of KNN classifier using nonlinear weighting method based on the spline interpolation","authors":"Farideh Sanei, A. Harifi, S. Golzari","doi":"10.1109/ICCKE.2017.8167893","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167893","url":null,"abstract":"Precision improvement of the classifiers is one of the main challenges for the Artificial Intelligence researchers. Feature weighting is one of the most common ideas in this area. In this study, in order to increase the accuracy of the K-Nearest Neighbors (KNN) classifier, a nonlinear feature weighting method based on the Spline interpolation is used. In this approach, a unique nonlinear function is estimated for each feature. In order to find the best estimated parameters of the nonlinear function which is suitable for each feature, the evolutionary Genetic Algorithm is applied. Numerical results show that the nonlinear weighting method increases the accuracy of the classifiers compared to the linear weighting method.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125583715","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
Additive non-Gaussian noise channel estimation by using minimum error entropy criterion 基于最小误差熵准则的加性非高斯噪声信道估计
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167949
Ahmad Reza Heravi, G. Hodtani
{"title":"Additive non-Gaussian noise channel estimation by using minimum error entropy criterion","authors":"Ahmad Reza Heravi, G. Hodtani","doi":"10.1109/ICCKE.2017.8167949","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167949","url":null,"abstract":"Channel estimation is an important component of wireless communications. This paper deals with the comparison between Mean Square Error (MSE) based neural networks and Minimum Error Entropy (MEE) based neural networks in additive non-Gaussian noise channel estimation. This essay analyzes MEE and MSE algorithms in several channel models utilizing neural networks. The aim of this study is first to compare the performance of an MSE-based conjugate gradient backpropagation (BP) algorithm with MEE-based BP method. The trained neural networks can be applied as an equalizer in the receiver. Moreover, to make a complete comparison between methods, we compare them in both low and high SNR regimes. The numerical results illustrate that MEE-based back propagation algorithm is more capable than the MSE-based algorithm for channel estimation. In fact, with additive non-Gaussian noise the performance of the MSE can be approximately as same as the MEE results in high SNR regime, but the MEE outperforms MSE-based method obviously in low SNR regime with non-Gaussian noise.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123365336","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
Amplified template attack of cryptographic algorithms 加密算法的放大模板攻击
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167943
Davood Shanbehzadeh, M. Bagheri
{"title":"Amplified template attack of cryptographic algorithms","authors":"Davood Shanbehzadeh, M. Bagheri","doi":"10.1109/ICCKE.2017.8167943","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167943","url":null,"abstract":"This paper presents a new method to implement template based simple power analysis of cryptographic algorithms. Template attacks are most powerful side channel technique to evaluation cryptographic hardware. They use a profiling phase to compute features of a multivariate Gaussian distribution of power signals from a training device and an attack phase to infer cryptographic key on a target device. In this paper we introduce new approach of template attack using minimum distance comparison of signals. Results show distance based template attack leads to higher probability of success respect to Gaussian template attack. Also we present full key bits recovery of A5/1 stream cipher by template based power analysis of key bits initialization. The results of new attack on A5/1 indicate that probability of success key recovery in this method is higher than conventional template attack.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121583292","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
Epileptic seizure classification using novel entropy features applied on maximal overlap discrete wavelet packet transform of EEG signals 基于脑电信号最大重叠离散小波包变换的新熵特征癫痫发作分类
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167910
Amirmasoud Ahmadi, Shiva Tafakori, V. Shalchyan, M. Daliri
{"title":"Epileptic seizure classification using novel entropy features applied on maximal overlap discrete wavelet packet transform of EEG signals","authors":"Amirmasoud Ahmadi, Shiva Tafakori, V. Shalchyan, M. Daliri","doi":"10.1109/ICCKE.2017.8167910","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167910","url":null,"abstract":"Using electroencephalography for diagnosis of seizure attacks has been in a great attention as it records abnormal electrical activities of the brain. This paper proposes a novel technique for diagnosis of epileptic seizures based on non-linear entropy features extracted from maximal overlap discrete wavelet packet transform (MODWPT) of EEG signals. Discriminative features are selected by a t-test criterion and used for the classification with two different classifiers. The proposed method is evaluated and compared to the previous methods in EEG seizure classification by using a publically available EEG dataset with different healthy and seizure suffering subjects. The obtained results show the superiority of the proposed method over the previous techniques in classification performance.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125703266","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: 12
Designing an intelligent fuzzy PID controller for controlling and directing military unmanned vehicles 设计一种用于军用无人驾驶车辆控制和指挥的智能模糊PID控制器
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167946
Ali Masoumi, Maryam Hourali, Amir Mohtarami
{"title":"Designing an intelligent fuzzy PID controller for controlling and directing military unmanned vehicles","authors":"Ali Masoumi, Maryam Hourali, Amir Mohtarami","doi":"10.1109/ICCKE.2017.8167946","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167946","url":null,"abstract":"The most important issue in unmanned vehicles moving is path planning and path following. One of the most influential factors in this field is the capability of path following by these vehicles. Here, the PID traditional control is combined with the fuzzy control algorithm and presented as a response. The Kalman filter has also been used to identify the control path for determining the parameters of the model.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115416355","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 sine and cosine algorithm for global optimization 一种新的全局优化正弦余弦算法
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167929
Mostafa Meshkat, Mohsen Parhizgar
{"title":"A novel sine and cosine algorithm for global optimization","authors":"Mostafa Meshkat, Mohsen Parhizgar","doi":"10.1109/ICCKE.2017.8167929","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167929","url":null,"abstract":"This study presents a new sine and cosine (S&C) optimization algorithm using a novel position update approach. In the proposed algorithm, the position update procedure for each search agent is determined by two coefficients, namely the exploration rate and the exploitation rate. These coefficients are updated in each run of the algorithm and provide an appropriate balance between the exploration and exploitation phases. The performances of the proposed algorithm and the sine cosine algorithm (SCA) were evaluated on a set of benchmark functions. The results indicate that in addition to a faster convergence speed, the S&C algorithm achieved the global best with a higher accuracy.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123490478","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
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