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2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies最新文献

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A Low Voltage Wideband CMOS Operational Transconductance Amplifier for VHF Applications 一种用于甚高频应用的低电压宽带CMOS运算跨导放大器
D. Dahigaonkar, D. Wakde, A. Khare
This paper presents a low voltage, low power CMOS OTA that can be used in high frequency applications. The basic topology using differential input single output OTA is simulated in TSMC 90nm CMOS process technology. The simulation results indicate high bandwidth, greater than 10GHz with 0.721mW power consumption and the transconductance of -69.78dB. The total harmonic distortion for 100mV input at a frequency of 1MHz is found to be 1.54%. The detailed parametric analysis of the OTA is covered in this paper. The comparative analysis of designed OTA at three different process technologies is also presented.
本文提出了一种低电压、低功耗的可用于高频应用的CMOS OTA。采用台积电90nm CMOS工艺技术,模拟了差分输入单输出OTA的基本拓扑结构。仿真结果表明,该系统具有较高的带宽,带宽大于10GHz,功耗为0.721mW,跨导为-69.78dB。在1MHz频率下,100mV输入的总谐波失真为1.54%。本文对OTA进行了详细的参数分析。并对设计的OTA在三种不同工艺条件下进行了对比分析。
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引用次数: 3
A Secure Approach for Web Based Internet Voting System Using Multiple Encryption 一种采用多重加密的基于Web的网络投票系统安全方法
S. Jambhulkar, Jagdish Chakole, P. Pardhi
Nowadays every things is becoming online, so human tendency has changed, they try to do every things from home using Internet. Election is also becoming online. But if we make voting system online the security is major concern. In our web based Internet voting system we are proving security to vote when it is travelling from voting client to voting server. Our main tool is the concept of multiple encryption and decryption.
如今,每件事都在网上,所以人类的倾向已经改变,他们试图在家里用互联网做每件事。选举也开始在网上进行。但如果我们让投票系统在线,安全是主要问题。在我们基于web的互联网投票系统中,我们正在证明投票从投票客户端到投票服务器的安全性。我们的主要工具是多重加密和解密的概念。
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引用次数: 20
Reversible Color Image Watermarking Using Trigonometric Functions 使用三角函数的可逆彩色图像水印
Sayan Chakraborty, Prasenjit Maji, A. Pal, D. Biswas, N. Dey
In this present work, we propose a new reversible color image watermarking technique, using trigonometric functions. The proposed method embeds secret bits into the gray planes of color image, using interpolation method and few trigonometric functions. Experimental results presented in this paper shows that the watermark can be successfully embedded and extracted from an image, without distorting the original image using the proposed technique. The high Peak Signal to Noise Ratio (PSNR) values claims the robustness of the proposed method.
本文提出了一种基于三角函数的可逆彩色图像水印技术。该方法利用插值方法和少量的三角函数,将秘密比特嵌入到彩色图像的灰度平面中。实验结果表明,采用该方法可以在不失真的情况下,成功地从图像中嵌入和提取水印。高峰值信噪比(PSNR)值证明了该方法的鲁棒性。
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引用次数: 26
Coordination Based Motion Control in Mobile Wireless Sensor Network 移动无线传感器网络中基于协调的运动控制
Tathagata Das, Sarbani Roy
In the present scenario, there are substantial amount of application where mobile wireless sensor network (MWSN) would be better choice over the static wireless sensor network. The very nature of the MWSN environment requires sensor nodes to interact opportunistically to address a common goal. Coverage is one of those areas where MWSN provides better solution. Coverage in static WSN depends on the initial deployment strategy. Most of the recent works in MWSN propose re-deployment strategy with the help of mobile nodes. In MWSN, the mobility of sensor nodes can be utilized to enhance the coverage of the network. One of the fundamental problems of MWSN is how to coordinate these mobile sensors in such a way that they can move together to accomplish the given task. Here, we study a generalized case of this problem. In this paper, we present a coordination based motion control (CBMC) scheme where all mobile nodes form a cooperative group such that they cover an area by exchanging some key information between themselves. The proposed scheme has two objectives: (i) each sensor node travels a minimum distance, (ii) minimum overlap in the coverage path of sensor nodes. NS-3 simulation shows the effectiveness of CBMC scheme. The proposed scheme is compared with random way-point mobility model (RWP) and three other variants of RWP.
在目前的情况下,有大量的应用,移动无线传感器网络(MWSN)是比静态无线传感器网络更好的选择。MWSN环境的本质要求传感器节点进行机会性交互以实现共同目标。覆盖范围是MWSN提供更好解决方案的领域之一。静态WSN的覆盖取决于初始部署策略。近年来的多目标无线传感器网络研究大都提出了借助移动节点的重新部署策略。在MWSN中,可以利用传感器节点的移动性来增强网络的覆盖率。多传感器传感器网络的基本问题之一是如何协调这些移动传感器,使它们能够共同完成给定的任务。这里,我们研究这个问题的一个一般情况。在本文中,我们提出了一种基于协调的运动控制(CBMC)方案,在该方案中,所有移动节点之间通过交换一些关键信息组成一个合作组,从而覆盖一个区域。提出的方案有两个目标:(i)每个传感器节点移动的距离最小;(ii)传感器节点覆盖路径的重叠最小。NS-3仿真验证了CBMC方案的有效性。将该方案与随机路径点迁移模型(RWP)和其他三种随机路径点迁移模型进行了比较。
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引用次数: 6
Conversion of Region of Interest from One Block Size to Another in Compressed Domain 压缩域中一种块大小到另一种块大小的兴趣区域转换
V. Choudhary, Preeti S. Voditel, Pratik Hazare
Image transforms are extensively used in image processing and image analysis. Transform is basically a mathematical tool, which allows us to move from one domain to another domain. Transforms play a significant role in various image processing applications such as image analysis, image enhancement, image filtering and image compression. Nowadays, almost all digital images are stored in compressed format in order to save the computational cost and memory. To save the memory cost, all the image processing techniques like feature extraction, image indexing and watermarking techniques are applied in the compressed domain itself rather than in spatial domain. In this paper, for compression purpose, Discrete Cosine Transform (DCT) is used because it has excellent energy compaction. The new approach devised in this paper is, if we will be able to find the relationship between the coefficients of a block to all of its sub-blocks in the DCT domain itself, without decompressing it so that time to extract global features in compressed domain for general image processing tasks will gets minimized. In this paper, composition of a block is obtained from all of its sub-blocks and vice versa directly in DCT domain also it is shown that the result of both operations are same. The computational complexity of the proposed algorithm is lower than that of the existing ones.
图像变换在图像处理和图像分析中有着广泛的应用。Transform基本上是一个数学工具,它允许我们从一个域移动到另一个域。变换在图像分析、图像增强、图像滤波和图像压缩等各种图像处理应用中发挥着重要作用。目前,为了节省计算量和存储空间,几乎所有的数字图像都采用压缩格式存储。为了节省存储成本,所有的图像处理技术,如特征提取、图像索引和水印技术,都应用在压缩域本身,而不是空间域。在本文中,由于离散余弦变换(DCT)具有优异的能量压缩性能,因此用于压缩目的。本文设计的新方法是,如果我们能够在DCT域本身中找到一个块与其所有子块的系数之间的关系,而不需要对其进行解压缩,那么在压缩域中提取用于一般图像处理任务的全局特征的时间将得到最小化。本文在DCT域上直接从一个块的所有子块中得到它的组成,反之亦然,并证明了这两种操作的结果是相同的。该算法的计算复杂度低于现有算法。
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引用次数: 0
Automatic Diagnosis of Breast Abnormality Using Digital IR Camera 数字红外相机对乳腺异常的自动诊断
A. Wakankar, G. Suresh, Akshata Ghugare
Breast Cancer is the most commonly diagnosed form of cancer in women. Breast cancer can be treated effectively only if it is detected at earlier stage. Mammography is recognized as the standard method for diagnosing breast cancer, Infrared Thermography based cancer diagnosis is able to detect cancer in its early stage of development and progression, thus survival is possible. Clinical interpretation of breast thermo grams is primarily based on the asymmetry analysis of the heat patterns visually and subjectively. In this paper an approach for segmentation of region of interest and asymmetry analysis of breast thermo grams is implemented. Asymmetry analysis is performed according to the extracted features based on temperature distribution. The abnormality of breast thermo grams is clearly indicated by these features and by comparison of the results with doctor's diagnosis. Thus Infrared Thermography is a physiological test and is sensitive to physiological changes that are precancerous alarms that may lead to tumor and is proved to be an effective, adjunct and diagnostic tool in Breast Abnormality Detection.
乳腺癌是女性中最常见的癌症。乳腺癌只有在早期发现才能得到有效治疗。乳房x光检查被公认为诊断乳腺癌的标准方法,基于红外热像仪的癌症诊断能够在早期发现癌症的发展和进展,从而有可能生存。临床对乳房热像图的解释主要是基于视觉和主观对热模式的不对称分析。本文实现了一种乳房热图像的兴趣区域分割和不对称分析方法。根据提取的温度分布特征进行非对称性分析。通过这些特征和与医生诊断的比较,可以清楚地指出乳房热像图的异常。因此,红外热像仪是一种生理测试,对可能导致肿瘤的癌前警报的生理变化敏感,是乳腺异常检测的有效辅助和诊断工具。
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引用次数: 10
A Novel Image Processing Filter Designed Using Discrete Fourier Invariant Signal 一种基于离散傅里叶不变信号的图像处理滤波器
Roshni Ravi, M. J. Josemartin
In this paper, a new image processing filter is proposed. In order to construct this image smoothing filter, one dimensional discrete Fourier invariant signal generated by an iterative design principle based on gradient descent method is used. The filter shape and values in spatial and frequency domain is almost the same. The proposed filter can be used as a kernel matrix in image processing to perform blurring as well as high frequency noise suppression. Also it can be used as an optimal two dimensional window for spatial-frequency spectral analysis of images.
本文提出了一种新的图像处理滤波器。为了构建图像平滑滤波器,采用基于梯度下降法的迭代设计原理产生一维离散傅立叶不变信号。滤波器在空间域和频域的形状和值几乎相同。该滤波器可作为核矩阵在图像处理中进行模糊处理和高频噪声抑制。它还可以作为图像空间频谱分析的最佳二维窗口。
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引用次数: 4
Design of Phase Frequency Detector and Charge Pump for Low Voltage High Frequency PLL 低压高频锁相环相频检测器和电荷泵的设计
A. Kailuke, Pankaj Agrawal, R. Kshirsagar
A simple new phase frequency detector and integrated Dickson Charge pump design with charge transfer switches (CTS's) are presented in this paper. The proposed Phase-Frequency Detector (PFD) and Charge-Pump are useful for low voltage, high frequency Phase-Looked-loops (PLL). This brief analyzes the blind zone in latch-based PFDs and proposes a technique that removes the blind zone caused by the precharge time of the internal nodes. With the proposed technique, the PFD achieves a small dead zone. The experimental results shows that the proposed PFD has minimal dead zone compared with the conventional PFD and CTS based Dickson charge pump is the best structure for integration. The PFD and Charge Pump are designed and simulated on Tanner 13.0V tool and has been simulated in a 0.18μm CMOS technology.
本文提出了一种简单的新型相位频率检测器和带电荷转移开关的集成迪克森电荷泵设计。所提出的相频检测器(PFD)和电荷泵适用于低电压、高频的锁相环(PLL)。本文简要分析了锁存式pfd的盲区,提出了一种消除内部节点预充电时间造成的盲区的技术。采用所提出的技术,PFD实现了一个小的死区。实验结果表明,与传统PFD相比,所提出的PFD具有最小的死区,基于CTS的Dickson电荷泵是集成的最佳结构。在Tanner 13.0V工具上设计并仿真了PFD和电荷泵,并在0.18μm CMOS技术上进行了仿真。
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引用次数: 15
Performance of Space-Time Block Coded MIMO Systems for Cell Edge Users in Rayleigh Fading Channel 瑞利衰落信道下小区边缘用户空时分组编码MIMO系统性能研究
Nirmal S. Kothari, Vijay S. Patil
Multiple Input Multiple Output (MIMO) systems have become the integral part of today's modern wireless communication system. The major problem observed in cellular structure is to provide the proper service to the users at the boundary of the cell. To increase the capacity of cell, it is essential to put the multiple antenna systems at the base station and even at user equipments. Space-time block codes are a remarkable modulation scheme discovered recently for the multiple antenna wireless channels. Multiple transmit and receive antennas can be used in wireless systems to achieve high data rate communication. Recently, efficient space-time codes have been developed that utilize a large portion of the available capacity. These codes are designed under the assumption that the transmitter has no knowledge about the channel. Multi-antenna systems can be used for increased capacity or for increasing diversity order, but the cost paid for deriving these benefits is increased hardware complexity due to multiple antennas and the number of RF (Radio Frequency) chains. This paper focuses on to implement the MIMO system in cellular structure at both base station and user equipment in order to boost the overall capacity of the system. It is seen that the capacity of the system increases with increase in number of antennas at the BTS end.
多输入多输出(MIMO)系统已成为当今现代无线通信系统的重要组成部分。蜂窝结构的主要问题是向蜂窝边界的用户提供适当的服务。为了提高小区的容量,必须在基站甚至用户设备上部署多天线系统。空时分组码是近年来发现的一种重要的多天线无线信道调制方案。无线系统中可以使用多个发射和接收天线来实现高数据速率通信。最近,高效的空时码被开发出来,利用了很大一部分可用容量。这些编码是在假定发射机不知道信道的情况下设计的。多天线系统可用于增加容量或增加分集顺序,但获得这些好处的成本是由于多个天线和RF(射频)链的数量而增加了硬件复杂性。本文重点研究了在蜂窝结构下,在基站和用户设备上实现MIMO系统,以提高系统的整体容量。可以看出,随着BTS端天线数量的增加,系统的容量也在增加。
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引用次数: 1
Symbol Recognition: Cognitive Approach 符号识别:认知方法
Rumaan Bashir, K. Giri
The field of Computer Science has been solving issues related to the domains of data, information, knowledge and intelligence, obviously in a chronological manner. Among these the issue of Symbol Recognition has received lot of attention. The procedure of analyzing and recognizing symbols involves various stages. A number of algorithms have been devised and implemented for the purpose of symbol recognition but usually focus on complex features and properties. In this paper, we propose a cognitive model for the recognition of offline machine drawn symbols which uses minimal amount of data. The algorithm proposed is independent of the size/slant of the symbol.
计算机科学领域一直在解决与数据、信息、知识和智能领域相关的问题,显然是按时间顺序进行的。其中,符号识别问题受到了广泛的关注。分析和识别符号的过程包括多个阶段。针对符号识别的目的,已经设计和实现了许多算法,但通常集中在复杂的特征和属性上。在本文中,我们提出了一种使用最小数据量的离线机器绘制符号识别认知模型。该算法与符号的大小/倾斜度无关。
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引用次数: 0
期刊
2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies
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