2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)最新文献_第3页

A fault-tolerant routing algorithm in 3D topology manycore processors 三维拓扑多核处理器中的容错路由算法

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436049

M. Fathi, S. Ebrahimi, H. Pedram

{"title":"A fault-tolerant routing algorithm in 3D topology manycore processors","authors":"M. Fathi, S. Ebrahimi, H. Pedram","doi":"10.1109/KBEI.2015.7436049","DOIUrl":"https://doi.org/10.1109/KBEI.2015.7436049","url":null,"abstract":"The unprecedented progress in semiconductor technology has provided great opportunities for commercialized computationally intensive applications. Amdahl's law was applied for multiprocessor computers till several years ago but his laws are now useful to help us understand and develop using manycore chip multiprocessors (CMP). Obviously manycore-based designs could not be done blindfold and it needs detailed calculations. In CMP's with hundred processing cores, 3D topology in the form of network-on-chip (NoC) can be used for shortening the wires length leads to low latency, low power dissipation and scalability. Meanwhile faults can occur in NoC both at the router and in communicational links. There are many fault-tolerant solutions that their function is based on rerouting the packets. In this paper we propose a fault-tolerant technique which is completely adaptive and use available non-broken links. The focus of this technique is keeping the performance of NoC when there is a faulty link and the packets from a source to a destination never get lost. Experimental results shows that this algorithm can tolerate more than 10 faulty links in different parts of NoC and it can achieve more than 97% reliability.","PeriodicalId":168295,"journal":{"name":"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924982","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

A novel CMC based method for MR! brain image segmentation 一种基于CMC的磁共振成像新方法!脑图像分割

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436038

Ali Ahmadvand, R. Ahmadvand, Mohammd Taghi Hajiali, M. Mosavi

引用次数: 2

A novel delay based scheduling algorithm for video traffic in LTE 一种基于时延的LTE视频流量调度算法

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436098

S. Baghi, Mahmoud Daneshvar Farzanegan

引用次数: 5

Brain extraction using isodata clustering algorithm aided by histogram analysis 利用等数据聚类算法辅助直方图分析脑提取

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436154

H. Khastavaneh, H. Ebrahimpour-Komleh

{"title":"Brain extraction using isodata clustering algorithm aided by histogram analysis","authors":"H. Khastavaneh, H. Ebrahimpour-Komleh","doi":"10.1109/KBEI.2015.7436154","DOIUrl":"https://doi.org/10.1109/KBEI.2015.7436154","url":null,"abstract":"Magnetic resonance (MR) imaging has a broad application in diagnosis and detection process of different brain related diseases. Manual analysis of MR images is a cumbersome and time consuming task. In order to automatically analyze the brain tissue accurately, non-brain compartments must be removed from magnetic resonance images. This task is known as brain extraction or skull stripping. In this study a brain extraction method is proposed. The proposed method formulates segmentation problem as a clustering problem and its core component is isodata clustering algorithm. Application of isodata algorithm reveals five distinct clusters. Two of these clusters contain voxels belonging to tissues of interest and three of them belongs to non-brain compartments. In order to produce an accurate brain mask, isodata cluster representatives are initialized by histogram analysis of MR volume of the brain. These representatives are mods of histogram of MR volume. The second stage of the proposed method leads to produce more accurate brain mask by somehow removing outliers. In this case, isodata algorithm performs better. Performance of the proposed method is measured by popular performance measures such as Dice similarity coefficient (Dice), Jaccard similarity index (J), sensitivity, and specificity. The proposed method outperforms BET, BSE, and HWA as popular methods by Dice = 0.959 (0.008) and J = 0.921 (0.168). These results are obtained based on BrainWeb dataset.","PeriodicalId":168295,"journal":{"name":"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117186382","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

Channel estimation with adaptive incremental strategy over distributed sensor networks 基于自适应增量策略的分布式传感器网络信道估计

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436147

E. Mostafapour, Amin Hoseini, J. Nourinia, M. Amirani

引用次数: 11

Breast Cancer diagnosis using, grey-level co-occurrence matrices, decision tree classification and evolutionary feature selection 利用灰色共生矩阵、决策树分类和进化特征选择进行乳腺癌诊断

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436065

Hanif Yaghoobi, Alireza Ghahramani Barandagh, Zhila Mohammadi

{"title":"Breast Cancer diagnosis using, grey-level co-occurrence matrices, decision tree classification and evolutionary feature selection","authors":"Hanif Yaghoobi, Alireza Ghahramani Barandagh, Zhila Mohammadi","doi":"10.1109/KBEI.2015.7436065","DOIUrl":"https://doi.org/10.1109/KBEI.2015.7436065","url":null,"abstract":"Breast Cancer is the most widespread Cancer among women. Breast cancer is the second leading cause of cancer death in women. The number of new cases of breast cancer was 124.8 per 100,000 women per year. The number of deaths was 21.9 per 100,000 women per year. These rates are age-adjusted and based on 2008-2012 cases and deaths. This represents about 12% of all new cancer cases and 25% of all cancers in women. Conventional diagnosis methods of Breast Cancer include biopsy, mammography thermography, and Ultrasound imaging. Among these methods, mammography is the most efficient method for the early diagnosis of Breast Cancer. Detecting Breast Cancer and classifying mammography images are the standard clinical procedures for the diagnosis of Breast Cancer. In order to classify mammography, is provided automated computer-based detection methods. In this study, Gray-Level Co-occurrence Matrix and Cumulative Histogram features were used. We also use a Decision Tree as a classifier system. Then we introduce a new algorithm that called \"Discrete Version of Imperialist Competitive Algorithm\" as a global optimization algorithm in discrete space, and we use this algorithm for finding the best features of the extracted features.","PeriodicalId":168295,"journal":{"name":"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124482084","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

PSWG: An automatic stop-word list generator for Persian information retrieval systems based on similarity function & POS information

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436031

Mohammad-Ali Yaghoub-Zadeh-Fard, B. Minaei-Bidgoli, Saeed Rahmani, Saeed Shahrivari

{"title":"PSWG: An automatic stop-word list generator for Persian information retrieval systems based on similarity function & POS information","authors":"Mohammad-Ali Yaghoub-Zadeh-Fard, B. Minaei-Bidgoli, Saeed Rahmani, Saeed Shahrivari","doi":"10.1109/KBEI.2015.7436031","DOIUrl":"https://doi.org/10.1109/KBEI.2015.7436031","url":null,"abstract":"By the advent of new information resources, search engines have encountered a new challenge since they have been obliged to store a large amount of text materials. This is even more drastic for small-sized companies which are suffering from a lack of hardware resources and limited budgets. In such a circumstance, reducing index size is of paramount importance as it is to maintain the accuracy of retrieval. One of the primary ways to reduce the index size in text processing systems is to remove stop-words, frequently occurring terms which do not contribute to the information content of documents. Even though there are manually built stop-word lists almost for all languages in the world, stop-word lists are domain-specific; in other words, a term which is a stop-word in a specific domain may play an indispensable role in another one. This paper proposes an aggregated method for automatically building stop-word lists for Persian information retrieval systems. Using part of speech tagging and analyzing statistical features of terms, the proposed method tries to enhance the accuracy of retrieval and minimize potential side effects of removing informative terms. The experiment results show that the proposed approach enhances the average precision, decreases the index storage size, and improves the overall response time.","PeriodicalId":168295,"journal":{"name":"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125758248","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

The combination of load shedding and removal of capacitors in under frequency situations 在低频率情况下，负载剥离和电容器移除的结合

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436075

Ahmad Jafari, Mohammad Amin Jarrahi, Shahriar Bazyari Hormozgan

{"title":"The combination of load shedding and removal of capacitors in under frequency situations","authors":"Ahmad Jafari, Mohammad Amin Jarrahi, Shahriar Bazyari Hormozgan","doi":"10.1109/KBEI.2015.7436075","DOIUrl":"https://doi.org/10.1109/KBEI.2015.7436075","url":null,"abstract":"Under Frequency Load Shedding (UFLS) is an important scheme to prevent the collapse of the power system. However, this method is not able to stabilize the system all by itself, as well as frequency. Voltage also affects the stability of the network. Shunt capacitors that are in service during normal operation for maintaining system voltage and dynamic MVAR reserve, inject too much reactive power and thus voltage will be increased. So UFLS will not work alone and a scheme should be considered to remove the capacitor proportional to load shedding. In this paper two methods proposed for coordinated under frequency load and capacitor shedding (UFCS) and its implementation approach to effectively preserve system stability following small and large disturbances. To confirm the feasibility of the approach, the proposed method has been used to design coordinated UFLS and UFCS schemes for a power network and has been simulated with PSAT toolbox of MATLAB. In addition, the proposed scheme has been combined with automatic switching of shunt reactors to improve the performance of the scheme.","PeriodicalId":168295,"journal":{"name":"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125083089","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

Hydrogen gas detection using metal-oxide-semiconductor capacitor with Ni/SiO2/Si structure 采用Ni/SiO2/Si结构的金属氧化物半导体电容器进行氢气检测

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436206

L. F. Aval, S. Elahi

引用次数: 4

Smart way to verify the identity of the sound, based on neural network technique identification by voice 智能声音的身份验证方式，基于神经网络技术的语音识别

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI: 10.1109/KBEI.2015.7436069

M. Fatahi, Mojtaba Farzaneh

引用次数: 0