2010 International Conference on Electronics and Information Engineering最新文献_第10页

Training anti-spam models with smaller training set via SVM way 利用支持向量机方法训练训练集较小的反垃圾邮件模型

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559725

Lili Diao, Chengzhong Yang

引用次数: 0

Research on regional function division of land use in Taiyuan city 太原市土地利用区域功能区划研究

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559782

Tang Huai-zhi, Wu Kening, Tang Min

引用次数: 2

Query cost estimation for read intensive flash memory based database systems 基于读密集型闪存的数据库系统查询成本估算

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559682

Surafel Teshome, Tae-Sun Chung

引用次数: 1

Performance evaluation of a wired network with & without Load Balancer and Firewall 有线网络负载均衡器和防火墙的性能评估

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559755

Sapna, Manju Sharma

引用次数: 5

A subthreshold surface potential modeling of drain/source edge effect on double gate MOS transistor 双栅MOS晶体管漏极/源极边缘效应的亚阈值表面电势建模

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559844

Satyanand Namana, S. Baishya, K. Koley

引用次数: 8

MBLBP face detection with multi-exit Asymmetric Boosting 多出口非对称增强的MBLBP人脸检测

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559771

M. Sharkas, Amr M. El-Helw, E. AlSaba

引用次数: 1

Computationally efficient coherent correlator design for DVB-S2 receiver 计算效率高的DVB-S2接收机相干相关器设计

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559715

V. Agarwal, Pansoo Kim, D. Oh, D. Ahn

{"title":"Computationally efficient coherent correlator design for DVB-S2 receiver","authors":"V. Agarwal, Pansoo Kim, D. Oh, D. Ahn","doi":"10.1109/ICEIE.2010.5559715","DOIUrl":"https://doi.org/10.1109/ICEIE.2010.5559715","url":null,"abstract":"Computational complexity of a coherent correlator is dominated by the number of complex multiplications and additions involved in process. In this paper a unique multiplier-less approach of coherent correlation has been proposed for Digital Video Broadcasting Second Generation (DVB-S2) receiver. It can be used in high speed communication of DVB-S2 because of its simplified architecture. The proposed design shows a huge amount of hardware saving as well as it improves the processing speed of the correlator over the conventional approach. It is also advantageous in terms of On-chip memory requirement. The functionality of the design has been verified through simulation and synthesis of the existing and proposed correlation scheme. The proposed architecture is optimized in terms of area with 97% reduction in number of LUTs. The critical speed of design on Virtex4 FPGA is 1364 MHz and it consumes 1.29W power which is 9.28% of the power consumed by conventional architectures. The proposed coherent correlator architecture can be used with the Data Aided (DA) receiver schemes (such as Frame synchronization, SNR estimation) used in the DVB-S2 standard.","PeriodicalId":211301,"journal":{"name":"2010 International Conference on Electronics and Information Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129373774","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

A development of horizontal transfer robot for horizontal loading/unloading of container 集装箱水平装卸水平搬运机器人的研制

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559684

Young Jin Lee, S. K. S. Lee, S. H. Kim, H. S. Jeong, S. Hong, D. Han, G. Han

引用次数: 0

A fast and accurate facial expression synthesis system for color face images using face graph and deep belief network 基于人脸图和深度信念网络的彩色人脸表情快速准确合成系统

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559797

Maryam Sabzevari, S. Toosizadeh, S. R. Quchani, Vahid Abrishami

{"title":"A fast and accurate facial expression synthesis system for color face images using face graph and deep belief network","authors":"Maryam Sabzevari, S. Toosizadeh, S. R. Quchani, Vahid Abrishami","doi":"10.1109/ICEIE.2010.5559797","DOIUrl":"https://doi.org/10.1109/ICEIE.2010.5559797","url":null,"abstract":"For a given animated avatar or face, synthesizing facial expressions in a fast and accurate way is a challenging problem. This paper presents a multi-cue methodology in order to generate facial expressions in a real time manner. The proposed approach first extracts the graph of the face using constrained local model (CLM) and generates a shape based feature vector. Secondly, it employs this feature vector to train a 3 layer deep belief network. After training, the deep belief network has the ability to generate the shape of an ideal facial expression for an input face graph. A post processing step then is applied to produce proper wrinkles and illumination changes which are related to that special facial expression. Employing a small feature vector, instead of a vector which includes all pixels of the face image, increases the speed of both training and generation phase for a deep belief network and makes it intrinsically suitable for real-time purposes. In addition, this approach is independent from the format of the input image and can be used for various types of images, including color images. The experimental results demonstrate the accuracy of our algorithm.","PeriodicalId":211301,"journal":{"name":"2010 International Conference on Electronics and Information Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121798728","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: 10

Design of S-boxes based on neural networks* 基于神经网络的s -box设计*

2010 International Conference on Electronics and Information Engineering Pub Date : 2010-09-02 DOI: 10.1109/ICEIE.2010.5559741

Mohammad Nourian Awal Noughabi, B. Sadeghiyan

{"title":"Design of S-boxes based on neural networks*","authors":"Mohammad Nourian Awal Noughabi, B. Sadeghiyan","doi":"10.1109/ICEIE.2010.5559741","DOIUrl":"https://doi.org/10.1109/ICEIE.2010.5559741","url":null,"abstract":"In this paper, we present a framework for the design of S-boxes used in ciphers based on neural networks. It can yield S-boxes with different input and output length. The designed n × n S-boxes satisfy the desired cryptographic properties of non-linearity, completeness, strict avalanche, and output bits independence criteria. We propose a four layer topology, where the number of neurons, located at the input layer, is two times the number of input bits of the designed S-box and also, the number of neurons, located at the first hidden layer, is as equal as input layer neurons, while its second hidden layer included n/2 neurons, and its output layer included n neurons. The input value of the designed S-boxes consists of n-bit input vector and constant n-bit initial value (IV). We apply a Sigmoid nonlinear function as the activation function of our scheme. The values of weights were obtained through error back propagation learning algorithm, while a training set is used for learning. The used training set consists some different pairs of plaintexts and ciphertexts with AES's S-box. We also implement an 8 × 8 S-box based on neural networks with the essential security criteria. The results indicate that the proposed scheme can yield S-boxes with the desired cryptographic properties.","PeriodicalId":211301,"journal":{"name":"2010 International Conference on Electronics and Information Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125124071","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: 13