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2014 International Conference on Computational Intelligence and Communication Networks最新文献

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Video Coding Parameter Optimization Based on Module Inter-relevancy 基于模块相关性的视频编码参数优化
Leilei Meng, Zhelei Xia
Algorithm customizable modules in video encoder play important roles in coding performance, and their algorithms can be optimized by adjusting multiple coding control parameters under a certain rate distortion complexity constraint. There are inter-correlated relationships among these modules. This paper analyzes the inter-module influence mechanism among algorithm customizable modules, and gives method to quantitatively measure the influence extent. According to the correlation degree among modules, the algorithm decision priority order is dynamically determined, and then coding parameter options are configured to achieve video coding parameter determination and optimization. X264 is used as the verification platform, and intensive experimental results are given to verify the proposed idea and model. The experimental results show that there is complicate inter-influence mechanism among modules, and module algorithm variation affects the performance of multi-objective performance, and this affection is not a simple linear relationship. The proposed parameter configuration and algorithm optimization method achieves considerable encoding complexity reduction, 80% computation saving, at the cost of slightly coding performance losses, no larger than 0.1 dB PSNR degradation.
视频编码器中的算法可定制模块对编码性能起着重要的作用,在一定的码率失真复杂度约束下,可以通过调整多个编码控制参数来优化算法。这些模块之间存在着相互关联的关系。分析了算法可定制模块之间的模块间影响机制,给出了影响程度的定量度量方法。根据模块间的关联度动态确定算法决策优先级顺序,然后配置编码参数选项,实现视频编码参数的确定和优化。以X264作为验证平台,并给出了大量的实验结果来验证所提出的思想和模型。实验结果表明,模块之间存在复杂的相互影响机制,模块算法的变化会影响多目标性能的表现,而且这种影响不是简单的线性关系。所提出的参数配置和算法优化方法实现了较大幅度的编码复杂度降低,节省了80%的计算量,但代价是编码性能损失较小,PSNR下降不超过0.1 dB。
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引用次数: 1
A Deep Learning Method for Braille Recognition 盲文识别的深度学习方法
Ting Li, Xiaoqin Zeng, Shoujing Xu
This paper mainly proposes a deep learning method-Stacked Denoising Auto Encoder (SDAE) to solve the problems of automatic feature extraction and dimension reduction in Braille recognition. In the construction of a network with deep architecture, a feature extractor was trained with unsupervised greedy layer-wise training algorithm to initialize the weights for extracting features from Braille images, and then a following classifier was set up for recognition. The experimental results show that by comparing to traditional methods, the constructed network based on the deep learning method can easily recognize Braille images with satisfied performance. The deep learning model can effectively solve the Braille recognition problem in automatic feature extraction and dimension reduction with a reduced preprocessing.
本文主要提出了一种深度学习方法——堆叠降噪自动编码器(堆叠降噪自动编码器,SDAE)来解决盲文识别中的自动特征提取和降维问题。在构建深度体系结构网络时,采用无监督贪婪分层训练算法对特征提取器进行训练,初始化提取盲文图像特征的权值,然后建立以下分类器进行识别。实验结果表明,与传统方法相比,基于深度学习方法构建的网络可以很容易地识别盲文图像,并且具有满意的性能。该深度学习模型通过简化的预处理,有效地解决了盲文识别中的自动特征提取和降维问题。
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引用次数: 24
The Downlink 4G-LTE in Fading Channel Based on the Multiwavelet Transform 基于多小波变换的衰落信道下行4G-LTE
R. F. Chisab, C. Shukla
Long Term Evolution LTE is developing as a major candidate for fourth generation (4G) cellular networks and is being modified by various cellular providers to increase the capacity and speed of mobile telephone networks. The major features that discriminate LTE from other technologies at the air interface are Orthogonal Frequency Division Multiple Access OFDMA for the downlink transmission. OFDMA run into the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates. In this paper a proposed novel method based on the Multiwavelet Transform MWT for applying the OFDMA in LTE. The proposed scheme is verified in two channels which are flat fading and selective Fading with other related parameters such as second path gain, Doppler frequency, and path delay. The results show that the proposed system overwhelms the traditional method based on the Fast Fourier Transform FFT and give lower Bit Error Rate BER compared with the system based on FFT.
长期演进LTE是作为第四代(4G)蜂窝网络的主要候选而发展起来的,各蜂窝运营商正在对其进行改进,以提高移动电话网络的容量和速度。LTE区别于其他空中接口技术的主要特点是下行链路传输的正交频分多址OFDMA。OFDMA符合LTE对频谱灵活性的要求,并为具有高峰值速率的极宽载波提供经济高效的解决方案。本文提出了一种基于多小波变换的OFDMA在LTE中的应用方法。利用第二路径增益、多普勒频率和路径延迟等相关参数,在平坦衰落和选择性衰落两个信道上进行了验证。结果表明,该系统克服了基于快速傅里叶变换FFT的传统方法,比基于FFT的系统具有更低的误码率。
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引用次数: 8
Proposal of Snubber Circuit to Reduce Problem of Collapsing in BJT due to Overrating 缓冲电路的提出,以减少BJT因高估而崩溃的问题
Keerti Vyas, G. Jain, V. Maurya, A. Raman
The effect on transistors when maximum collector-emitter voltage under condition base is open (vceo), maximum collector-base voltage under condition emitter is open (vcbo), maximum collector-emitter voltage under condition base is shortened (vces) and maximum collector-base voltage under condition emitter is shortened (vcbs) ratings are got exceeded in two circuits are studied by visual analysis, x-ray examination, electrical examination and microscopic examination. This study helps in increasing the reliability of transistor used in all modern electronic equipments. We have proposed here for the implementation of snubber circuit to reduce the problem mentioned above. The results of visual analysis, electrical examination and microscopic examinations is shown in the form of pictures. Our proposal can be implemented in many house appliances, as common people are generally not aware of this fact of transistor ratings so the accidents due to unawareness can be prevented.
采用目视分析、x射线检查、电学检查和显微检查等方法,研究了两种电路中基极最大开路电压(vceo)、基极最大开路电压(vcbo)、基极最大短路电压(vces)和基极最大短路电压(vcbs)超过额定值时对晶体管性能的影响。这项研究有助于提高晶体管在现代电子设备中的可靠性。我们在此建议采用缓冲电路来减少上述问题。目视分析、电学检查和显微检查的结果以图片的形式显示。我们的建议可以在许多家用电器中实施,因为普通人通常不知道晶体管额定值的这一事实,因此可以防止由于不知道而导致的事故。
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引用次数: 0
The Optimal Bias Current of Microbolometer under Self-Heating Effect 自热效应下微测热计的最佳偏置电流
Chao Chen, Long Zhang, Yadong Jiang, Tao Wang
In this paper, a three-level model of micro bolometer was established by intellisuit software. The total heat capacity, resistance and device thermal conductance Gdev (lower limit) was obtained by theoretical calculation, resistance extraction and dynamic thermal finite element simulation respectively. According to the relationship among of the bias current, effective thermal conductance and device thermal conductance, the range of current is got. Different current and the same amount of heat radiation were loaded on the devices for dynamic thermoelectric coupling finite element simulation. Considering the thermal time constant, effective thermal conductance and power consumption, the optimal current can be drawn.
本文利用智能软件建立了微测辐射热计的三级模型。分别通过理论计算、阻力提取和动态热有限元模拟得到总热容量、器件热导率Gdev(下限)。根据偏置电流、有效热导率和器件热导率之间的关系,得到了电流的取值范围。在器件上加载不同电流和等量热辐射,进行动态热电耦合有限元模拟。综合考虑热时间常数、有效热导率和功耗,得出最优电流。
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引用次数: 1
Nonlinear Face Classification with Modified 2DDTW 基于改进2DDTW的非线性人脸分类
S. Venkatramaphanikumar, V. Prasad
Facial physical appearance normally have several variations which occurred due to changes in expression, illumination, occlusion, head pose, and aging. In actual, human eyes can able to justify the authenticity of a person by the use of single image per class. In this paper, a new framework is proposed for nonlinear classification of face images with only one training image per class. Histogram Equalization is used for contrast stretching, Gabor wavelets and Kernel 2D PCA is used to extract local and nonlinear features and those are invariant towards orientation & spatial locality. Those features are fused with PCA fusion and then Two Dimensional Dynamic Time Warping is used for the classification of those feature vectors. The constraints Continuity, Monotonicity and bounded properties of DTW will identify the non linear optimal path between two dimensions of feature vectors simultaneously. The proposed method has evaluated on standard bench mark face databases like ORL, Grimace & Yale and yielded better performance such as 91.35%, 98.5% and 97.16% respectively.
面部物理外观通常有几种变化,这些变化是由于表情、光照、遮挡、头部姿势和年龄的变化而发生的。实际上,人眼可以通过每个类别使用单个图像来证明一个人的真实性。本文提出了一种新的人脸非线性分类框架,每个分类只有一个训练图像。直方图均衡化用于对比度拉伸,Gabor小波和核二维PCA用于提取局部和非线性特征,这些特征对方向和空间局域性是不变的。对特征向量进行PCA融合,然后利用二维动态时间扭曲对特征向量进行分类。DTW的连续性、单调性和有界性约束可以同时识别出两个维度特征向量之间的非线性最优路径。该方法在ORL、Grimace和Yale等标准基准人脸数据库上进行了评价,分别取得了91.35%、98.5%和97.16%的较好效果。
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引用次数: 1
Design of an Automatic Cartoon Movie Builder (ACMB) System for Generation of a Cartoon Movie from a Given Story 从给定的故事生成卡通电影的自动卡通电影生成器(ACMB)系统的设计
Santanu Halder, R. Mandal, D. Bhattacharjee, M. Nasipuri
In this paper, a novel Automatic Cartoon Movie Builder (ACMB) system has been proposed to generate a cartoon movie based on a given story collected from the user and this concept is new in the literature. It has useful applications in cinematography and especially in the world of animation. The system has two types of databases: (a) Movie Database (DB-M) consisting of cartoon movies (animations) collected from different sources (b) Frame Database (DB-FR) consisting of shots (or sequence of frames depicting a continuous action) extracted from the movies of DB-M along with their textual characterization. The proposed system automatically generates a new cartoon movie from a given story with the help of DB-FR. In this paper, we focus on the generation of new cartoon movie with the retrieved shots from DB-FR as per the textual descriptions of a shot given by the user in the form of a story. The proposed method has been tested on 1000 shots which are extracted from 10 movies stored in DB-M.
本文提出了一种新颖的自动动画电影生成器(Automatic Cartoon Movie Builder, ACMB)系统,该系统可以根据用户提供的给定故事生成动画电影,这在文献中是一个新的概念。它在电影摄影,特别是在动画世界中有很好的应用。该系统有两种类型的数据库:(a)电影数据库(DB-M)由从不同来源收集的卡通电影(动画)组成;(b)帧数据库(DB-FR)由从DB-M的电影中提取的镜头(或描绘连续动作的帧序列)及其文本特征组成。该系统在DB-FR的帮助下,根据给定的故事自动生成新的卡通电影。在本文中,我们的重点是根据用户以故事的形式给出的镜头的文本描述,从DB-FR中检索到的镜头生成新的卡通电影。本文对DB-M存储的10部电影中提取的1000个镜头进行了测试。
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引用次数: 1
Research and Implementation of Intelligent Linguistics and Language Teaching Module Based on Network Environment 基于网络环境的智能语言学与语言教学模块的研究与实现
Du Hongyan
Internet is an attractive cultural exchange platform in the language and literature intelligent teaching system, particularly for foreigner which is difficult to understanding cultural background. The process the traditional teaching system is suited to native culture background but because of the long time required, conventional Education facilities would require excessive student carrying capacity. The intelligent language and literature teaching modules in the network environment has been developed. Together with associated hardware system improvements, increased suitability of the language learners have been demonstrated for the learning effect of using and relay.
在语言文学智能教学系统中,互联网是一个极具吸引力的文化交流平台,尤其对于文化背景理解困难的外国人而言。传统教学体系的过程适合于本土文化背景,但由于时间较长,传统教育设施对学生的承载能力要求过高。开发了网络环境下的智能语言文学教学模块。再加上相关硬件系统的改进,语言学习者对使用和传递的学习效果的适应性得到了提高。
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引用次数: 1
Special Economic Zone - An Overview, Challenges, and Its Growth in India 经济特区——印度经济特区的概况、挑战及其发展
S. S. Sarangedevot, Vijendra Dhyani, Nandita Mishra
Special Economic Zones (SEZs) can be compared to their predecessors, Free Trade Zones and Export Processing Zones, in that they are intended at stimulating foreign direct investment (FDI) and fast, export-led, industrial growth. The essential characteristic of such schemes is that they allow the by-passing of particular social legislation or tax provisions which are perceived to be an impediment to progress or the competitiveness of an export-oriented activity. A brainchild of the Ministry of Commerce and Industry (MOCI), the SEZ Act that was passed in 2005 goes much further than previous policies as it seeks to establish a large number of private industrial townships, each covering hundreds or thousands of hectares of land. According to the MOCI, as of February 2010, formal approval has been accorded by states to 571 proposals out of which 348 SEZs have been notified. A total of 105 SEZs are already exporting. The 571 approved proposals are for SEZs sponsored by State governments and are in addition to seven Central Government SEZs and 12 State/private sector SEZs that were set up prior to the enactment of SEZ Act, 2005 (MOCI, 2010). These 571 approved SEZs represent a total of 67680 hectares. Despite the huge rate of approval and establishment of SEZs, and thus their apparent success, the development of SEZs has faced considerable opposition and is stalling in some cases. In this research paper Authors have tried to analyze the growth of SEZ in various regions of India. This paper examines some of the contentious aspects of the growth of SEZs that pose major challenges to India's public policy and governance.
经济特区(SEZs)可以与它们的前身自由贸易区和出口加工区进行比较,因为它们旨在刺激外国直接投资(FDI)和出口导向型的快速工业增长。这种计划的基本特点是,它们允许绕过被认为是阻碍进步或面向出口的活动的竞争力的特定社会立法或税收规定。2005年通过的《经济特区法案》(SEZ Act)是商工部(MOCI)的一个创意,它比以前的政策走得更远,因为它寻求建立大量的私人工业城镇,每个城镇占地数百或数千公顷。根据商务部的数据,截至2010年2月,各国已正式批准了571个提案,其中348个经济特区已得到通知。共有105个经济特区已经开始出口。批准的571个经济特区提案是针对州政府赞助的经济特区,是在2005年《经济特区法》颁布之前建立的7个中央政府经济特区和12个国家/私营部门经济特区之外的(商务部,2010年)。这571个经批准的经济特区总面积为67680公顷。尽管经济特区的批准和建立率很高,因此取得了明显的成功,但经济特区的发展面临着相当大的反对,在某些情况下甚至停滞不前。在这篇研究论文中,作者试图分析印度不同地区经济特区的增长。本文探讨了经济特区发展的一些有争议的方面,这些方面对印度的公共政策和治理构成了重大挑战。
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引用次数: 2
Doppler Velocimetry System Design and FPGA Realization 多普勒测速系统设计与FPGA实现
Zhilong Deng, Liyan Liu, Ruijun Jing, Litao Jiao
In order to improve the accuracy of Measuring Velocity from Doppler Radar, the method of extraction proposed is based on the cycle frequency spectrum of the center of gravity for the frequency spectrum. The collected doppler radar signal is used to make simulations for Period gram Method and the frequency spectrum of gravity method. The core of FFT in IPCore of FPGA is used to implement algorithm to complete the design combined with signal conditioning circuitry and A/D data acquisition. Experimental results show that the center of gravity of the frequency spectrum of the frequency extraction methods improve the accuracy for measuring velocity.
为了提高多普勒雷达测速的精度,提出了一种基于重心周期频谱的频谱提取方法。利用采集到的多普勒雷达信号对周期克法和重力法的频谱进行了仿真。利用FPGA IPCore中的FFT核心实现算法,结合信号调理电路和A/D数据采集完成设计。实验结果表明,该频率提取方法的频谱重心提高了速度测量的精度。
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引用次数: 0
期刊
2014 International Conference on Computational Intelligence and Communication Networks
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