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2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS)最新文献

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Indic script identification from handwritten document images — An unconstrained block-level approach 从手写文档图像中识别印度文字——一种不受约束的块级方法
S. Obaidullah, N. Das, C. Halder, K. Roy
In a multi-script country like India, prior identification of script from document images is an essential step before choosing appropriate script specific OCR. The problem becomes more complex and challenging in case of HSI (Handwritten Script Identification). An automatic HSI technique for document images of six popular Indic scripts namely Bangla, Devanagari, Malayalam, Oriya, Roman and Urdu is proposed in this paper. A Block-level approach is followed for the same and initially 34-dimensional feature vector is constructed applying transform based (BRT, BDCT, BFFT and BDT), textural and statistical techniques. Finally using a GAS (Greedy Attribute Selection) method 20 attributes are selected for learning process. Total 600 unconstrained document image blocks of size 512×512 each, are prepared with equal distribution of each script type. The whole dataset is divided into 2:1 ratio for training and testing. Extensive experimentation is carried out for Six-scripts, Tetra-scripts, Tri-scripts and Bi-scripts combinations. Experimental result shows promising and comparable performance.
在像印度这样的多脚本国家,在选择合适的脚本特定OCR之前,从文档图像中预先识别脚本是必不可少的步骤。在HSI(手写体识别)的情况下,这个问题变得更加复杂和具有挑战性。本文提出了一种针对孟加拉语、德文加里语、马拉雅拉姆语、奥里亚语、罗马语和乌尔都语六种常用印度文字文档图像的自动HSI技术。使用基于变换(BRT, BDCT, BFFT和BDT),纹理和统计技术构建了最初的34维特征向量。最后采用GAS (Greedy Attribute Selection)方法选取20个属性进行学习。总共600个不受约束的文档图像块,每个大小为512×512,每个脚本类型的分布相等。将整个数据集分成2:1的比例进行训练和测试。对六字、四字、三字和双字组合进行了广泛的实验。实验结果表明,该系统具有良好的性能和可比性。
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引用次数: 16
Strained Si: Opportunities and challenges in nanoscale MOSFET 应变硅:纳米级MOSFET的机遇与挑战
Rajneesh Sharma, A. Rana
For the nanoscale MOSFET technology, the strain engineering is emerge as the most important performance booster technique in terms of carrier mobility, low scattering and consequently the high on current. In this paper, the state of art for nanoscale strained MOSFET has been reviewed in terms of performance improvement and manufacturability. Further, the strain engineering along with advanced performance booster technique/structure, raised Source/Drain (S/D), S/D extension engineering (underlap structure), High-K/Metal-gate, Extremely Thin Silicon On Insulator (ETSOI) and multigate device structure, have been studied to provide the guidelines for performance enhancement in nanoscale devices. In above cases, we will focus on reliability, advantages and probable solutions to the related issues. Although strain provide mobility enhancement for both NMOS and PMOS without alleviating leakage current but the use of strain Si in nanoscale MOSFET still create new challenges. The literature review has been extended to cover the various challenges of nanoscale strained MOSFET, scaling of strained MOSFET, mobility limitation in ballistic range and self-heating. The review signify that the strain engineering become the integral part of nanoscale MOSFET due to its various potential benefits without much fabrication overhead.
对于纳米级MOSFET技术而言,应变工程技术在载流子迁移率、低散射和高导通电流方面是最重要的性能提升技术。本文从性能改进和可制造性两方面综述了纳米应变MOSFET的研究现状。此外,还研究了应变工程与先进的性能增强技术/结构、提高源/漏(S/D)、S/D扩展工程(underlap结构)、高k /金属栅极、极薄绝缘体上硅(ETSOI)和多栅极器件结构,为纳米级器件的性能增强提供了指导。在上述情况下,我们将重点关注可靠性,优势和相关问题的可能解决方案。虽然应变在不减小泄漏电流的情况下增强了NMOS和PMOS的迁移率,但在纳米级MOSFET中使用应变Si仍然面临新的挑战。文献综述已经扩展到涵盖纳米级应变MOSFET的各种挑战,应变MOSFET的缩放,弹道范围内的迁移率限制和自加热。研究表明,应变工程因其具有多种潜在的优点而成为纳米级MOSFET的重要组成部分,并且制造成本不高。
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引用次数: 11
A new local homogeneity analysis method based on pixel intensities for image defect detection 基于像素强度的局部均匀性分析方法在图像缺陷检测中的应用
Rajitha Bakthula, Anjana Tiwari, S. Agarwal
This paper presents a new technique for defect detection in various images like fabric, paper, metal surface, film surface, nonwoven, coated coil and glass surface etc images. To detect such unstructured defects, it is required to analyze the underlying texture information of the image. All of these images have some similar texture properties. These texture features can be achieved through local homogeneity analysis (H-image) such as edges and boundaries which arise due to sudden changes in intensity levels of pixels. The defected regions can be one or more in a texture based image which may vary in shape and gray levels as well, thus the defect detection is a challenging task. Traditional homogeneity based approaches gives the fine edge details as well, some of them can be treated as a defect which is not a defect. So, this paper proposes a new technique to find the local homogeneity image using pixel intensity differences among neighboring pixels. Thereafter for thresholding a DWT (Discrete Wavelet Transform) and Hotelling T2 model are used. The performance of the proposed approach has been evaluated against various measures like precision, specificity, recall, accuracy and error rate. In comparison to the existing H-Image the proposed approach had 98% accuracy when tested on 100 different types of images.
本文提出了一种用于织物、纸张、金属表面、薄膜表面、非织造布、涂层线圈、玻璃表面等图像缺陷检测的新技术。为了检测这种非结构化缺陷,需要分析图像的底层纹理信息。所有这些图像都有一些相似的纹理属性。这些纹理特征可以通过局部均匀性分析(h图像)来实现,例如由于像素强度水平的突然变化而产生的边缘和边界。缺陷区域可以是基于纹理的图像中的一个或多个区域,并且可能在形状和灰度级别上变化,因此缺陷检测是一项具有挑战性的任务。传统的基于同质性的方法也给出了精细的边缘细节,其中一些可以被视为缺陷而不是缺陷。为此,本文提出了一种利用相邻像素之间的像素强度差来寻找局部均匀性图像的新方法。然后使用DWT(离散小波变换)和Hotelling T2模型进行阈值分割。所提出的方法的性能已经对各种指标进行了评估,如精度,特异性,召回率,准确性和错误率。与现有的H-Image相比,在对100种不同类型的图像进行测试时,所提出的方法具有98%的准确率。
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引用次数: 4
Diffusion kurtosis model to evaluate the cochlear nerve deficiency in MRI images 弥散峰度模型评价耳蜗神经缺损MRI图像
Vijaya Kumar, C M Sreedhar, S. Khushu, R. P. Tripathi
Cochlear nerve deficiency (CND) is one of the primary causes of congenital hearing loss experienced by the new-born babies. The objective of this study was to assess the benefit of new diffusion kurtosis method in evaluating neuronal integrity of the cochlear nerve in order to assess cochlear nerve deficiency. In this study, the fourth-order kurtosis tensor has been estimated using the kurtosis model and the parameters such as mean kurtosis, axial kurtosis and radial kurtosis has been computed for the assessment of demyelination status of cochlear nerve. Estimations of these kurtosis parameters were carried out in the locations of internal auditory canal (IAC), lateral lemniscus (LL) and inferior colliculus (IC). The adaptive wavelet transform system was used to remove the rician noise from the diffusion data used for estimation the kurtosis parameters in the kurtosis model. The estimated kurtosis parameters found to be lower in cochlear nerve deficiency patients than normal control cases. The kurtosis parameters found to be capable of providing new tissue microstructural information and neuronal integrity and their demyelination status of cochlear nerve.
耳蜗神经缺损是新生儿先天性听力损失的主要原因之一。本研究的目的是评估新的扩散峰度方法在评估耳蜗神经神经元完整性方面的价值,以评估耳蜗神经缺陷。本研究利用峰度模型估计四阶峰度张量,计算平均峰度、轴向峰度、径向峰度等参数,评估耳蜗神经脱髓鞘状态。在内耳道(IAC)、外侧小丘(LL)和下丘(IC)的位置估计这些峰度参数。在峰度模型中,利用自适应小波变换系统去除用于估计峰度参数的扩散数据中的噪声。耳蜗神经缺损患者的峰度参数估计值低于正常对照。发现峰度参数能够提供新的组织显微结构信息和耳蜗神经的完整性及其脱髓鞘状态。
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引用次数: 1
A computational geometry based cell migration technique for VLSI placement problem 基于计算几何的超大规模集成电路放置问题的单元迁移技术
Subhasree Sengupta, A. Sinharay, T. Bakshi
The movement of preplaced cells among a prescribed existing placement to solve a set of worst designed placement related facts - for example, routing problems, timings, integrity of signals and distribution of heat. To solve this design related problems one has to prefer to translate the design. The translation should be as small as possible while retaining the originality of the placement integrity. The current paper proposes a new algorithmic treatment of the above problem through computational geometry. Our theoretical proposals established through experimental proofs.
预先放置的单元在规定的现有位置之间的移动,以解决一组设计最差的放置相关事实-例如,路由问题,定时,信号完整性和热量分布。为了解决这个与设计相关的问题,人们不得不倾向于翻译设计。翻译应尽可能小,同时保留原创性的放置完整性。本文通过计算几何提出了一种处理上述问题的新算法。我们的理论建议通过实验证明得到了证实。
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引用次数: 1
An efficient hardware design of SIFT algorithm using fault tolerant reversible logic 采用容错可逆逻辑的高效SIFT算法硬件设计
Chandrajit Pal, Pabitra Das, S. B. Mandal, A. Chakrabarti, Samik Basu, R. Ghosh
Scale Invariant Feature Transform (SIFT) algorithm is used to generate image features which is very essential for object recognition, feature detection, image matching etc. This paper proposes an optimized hardware architecture for realizing the SIFT algorithm with reversible logic prototyped using Field Programmable Gate Array (FPGA). The digital hardware logic has been implemented with reversible and fault tolerant capabilities at significant design sections substituting the adder and multiplier functions which is one of the first of its kind of implementation of this application needed for designing energy efficient systems such as SoC (System on Chip) based robotic vision system. Reversible logic is emerging as an important research area for low power CMOS design, DSP applications and battery operated embedded systems meant for image processing. The reversible logic is implemented using our new proposed RFT (Reversible Fault Tolerant) gates (which is reversible as well as fault tolerant) that is used to design a new innovated adder circuit. The new adder circuit uses very less hardware resource which is again substituted with minimum complexity reversible gate. The proposed design shows invariancy to various image parameters such as scale, rotation, viewpoint and noise unlike other state of the art works. Moreover our design can process a frame of resolution 640*480 in 15 millisecond, at a rate of 64 frames per second which meets the real time video rate constraint, what represents a speed up of 415x compared to the software execution of the method.
尺度不变特征变换(SIFT)算法用于生成图像特征,在目标识别、特征检测、图像匹配等方面具有重要意义。本文提出了一种优化的硬件结构,利用现场可编程门阵列(FPGA)实现可逆逻辑原型的SIFT算法。数字硬件逻辑在重要的设计部分实现了可逆和容错功能,取代了加法器和乘法器功能,这是设计节能系统(如基于片上系统)的机器人视觉系统所需的此类应用的首次实现之一。可逆逻辑正在成为低功耗CMOS设计、DSP应用和用于图像处理的电池供电嵌入式系统的重要研究领域。可逆逻辑是使用我们新提出的RFT(可逆容错)门(可逆和容错)来实现的,用于设计一种新的创新加法器电路。新的加法器电路使用的硬件资源非常少,它再次被最小复杂度的可逆门所取代。与其他艺术作品不同,该设计对各种图像参数(如比例、旋转、视点和噪声)具有不变性。此外,我们的设计可以在15毫秒内处理分辨率为640*480的帧,速率为每秒64帧,符合实时视频速率限制,与软件执行方法相比,速度提高了415倍。
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引用次数: 4
Performance metrics of a customized web application developed for monitoring sensor data 为监测传感器数据而开发的定制web应用程序的性能指标
H. Singh, T. Bezboruah
An interactive .NET web application is designed for use in remote monitoring of sensor response within a Local Area Network zone. Key performance metrics of the web application such as response times, throughput, processor and disk utilization are measured by employing a standard testing tool. The impact of concurrent users' activities on the performance metrics of the web application have been observed by using two test scenarios.
一个交互式的。net web应用程序设计用于远程监控局域网区域内的传感器响应。web应用程序的关键性能指标(如响应时间、吞吐量、处理器和磁盘利用率)通过使用标准测试工具进行测量。并发用户活动对web应用程序性能指标的影响通过使用两个测试场景来观察。
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引用次数: 8
Sentiment analysis using cosine similarity measure 使用余弦相似度度量的情感分析
Saprativa Bhattacharjee, Anirban Das, U. Bhattacharya, S. K. Parui, S. Roy
The opinion of other people is often a major factor influencing our decisions. For a consumer it affects purchase decisions and for a producer or a service provider it helps in making business decisions. Companies spend a lot of money and time on surveys for gathering the public opinion on products and services. Now-a-days the web has become a hotspot for finding user opinions on almost anything under the sun. Both money and time can be saved by mining opinions from the web. Moreover, no survey can have a sample size, which can match that of the web. Each opinion generally expresses either positive, negative or neutral sentiment. The task of identifying these sentiments is called Sentiment Analysis. This work deals with the analysis of user sentiments in the Telecom domain. Since no such related standard database of users' opinions could be found, we developed one by mining the WWW. A major issue with these sample comments is that these are usually extremely noisy, containing numerous spelling and grammatical errors, acronyms, abbreviations, shortened or slang words etc. Such data cannot be used directly for analyzing sentiments. Hence, a lexicon based preprocessing algorithm is proposed for noise reduction. A novel idea based on Cosine Similarity measure is proposed for classifying the sentiment expressed by a user's comment into a five point scale of -2 (highly negative) to +2 (highly positive). The performance of the proposed strategy is compared with some of the well-known machine learning algorithms namely, Naive Bayes, Maximum Entropy and SVM. The proposed Cosine Similarity based classifier gives 82.09% accuracy for the 2-class problem of identifying positive and negative sentiments. It outperforms all other classifiers by a considerable margin in the 5-class sentiment classification problem with an accuracy of 71.5%. The same strategy is also used for categorizing each user comment into six different Telecom specific categories.
别人的意见常常是影响我们决定的主要因素。对于消费者来说,它影响购买决策,对于生产者或服务提供者来说,它有助于做出商业决策。公司花费大量的金钱和时间进行调查,以收集公众对产品和服务的意见。如今,网络已经成为寻找用户对几乎任何事情的意见的热点。从网络上挖掘意见可以节省金钱和时间。此外,没有一项调查的样本量可以与网络调查相匹配。每种意见通常表达积极、消极或中立的情绪。识别这些情绪的任务被称为情绪分析。这项工作涉及电信领域的用户情感分析。由于找不到相关的用户意见标准数据库,我们通过挖掘WWW开发了一个。这些示例注释的一个主要问题是,它们通常非常嘈杂,包含许多拼写和语法错误,首字母缩写,缩写,缩短或俚语等。这些数据不能直接用于分析情绪。为此,提出了一种基于词典的降噪预处理算法。提出了一种基于余弦相似度度量的新思想,将用户评论所表达的情感分为-2(高度消极)到+2(高度积极)的五分制。该策略的性能与一些著名的机器学习算法,即朴素贝叶斯,最大熵和支持向量机进行了比较。所提出的基于余弦相似度的分类器在识别积极和消极情绪的两类问题上具有82.09%的准确率。在5类情感分类问题中,它的准确率达到71.5%,大大优于所有其他分类器。同样的策略也用于将每个用户评论分类为六个不同的电信特定类别。
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引用次数: 18
A 405MHz integer-N CMOS PLL for implantable biomedical application 用于植入式生物医学应用的405MHz整n CMOS锁相环
Bhabani Sankar Choudhury, S. Maity
This work is dedicated to a Phase Locked Loop design that works with a sub 1GHz frequency band. Medical Implant Communication Service operates at 402-405 MHz frequency of operation. The PLL design used in this paper uses a novel two stage ring VCO that can generate 179MHz to 438MHz by changing the control voltage from 0.3-V to 1-V. The worst case phase noise of -106dBc/Hz is obtained at an offset of 1MHz. The VCO is controlled by changing the resistance in the forward path by varying the gate voltage of the transmission gate. Thus the design challenge to achieve oscillation at two stages is achieved. For small frequency to have small size device is not possible in conventional design has been achieved in this design. The lock in time of the PLL is 8μS with a charge pump current of 100μA. The PLL architecture consumes 280μW of power from a supply voltage of 1-V. The loop filter and its stability analysis have been verified by MATLAB. The Simulink model has been developed in order to verify the theoretical operation of the PLL. The Transistor level analysis has been done using Cadence virtuoso 90nm CMOS technology.
这项工作是专门针对一个锁相环设计,工作在1GHz以下的频带。医疗植入物通信服务以402-405兆赫的操作频率运作。本文采用的锁相环设计采用了一种新型的两级环形压控振荡器,通过改变控制电压从0.3 v到1 v,可以产生179MHz到438MHz的信号。最坏情况下相位噪声为-106dBc/Hz,偏移量为1MHz。通过改变传输栅极的栅极电压来改变正向路径中的电阻,从而控制压控振荡器。这样就实现了在两个阶段实现振荡的设计挑战。对于小频率具有小尺寸的装置在常规设计中是不可能的,在本设计中实现了。锁相环锁相时间为8μS,电荷泵电流为100μA。在电源电压为1v时,锁相环架构的功耗为280μW。通过MATLAB验证了环路滤波器的稳定性分析。为了验证锁相环的理论工作原理,开发了Simulink模型。晶体管级分析已完成使用Cadence virtuoso 90纳米CMOS技术。
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引用次数: 0
YAHMD — Yet another heap memory debugger YAHMD—另一个堆内存调试器
Debapriyay Mukhopadhyay, S. Nandy
This work makes two major contributions to architectural support for the debugging of memory related bugs. First, it proposes a novel framework for detecting memory related bugs, where the application can be selective, can be extended to kernel modules, and is based on the virtual memory simulation of the application in hand. Secondly, we have tried to formalize the code instrumentation given our framework. It has not been dealt in details in the earlier works. This will generate scopes for future research in this area and a better formalism can help to come up with a much more usable and robust tool for detecting memory related bugs.
这项工作对调试内存相关错误的架构支持做出了两个主要贡献。首先,它提出了一个新的框架来检测内存相关的错误,其中应用程序可以选择性地,可以扩展到内核模块,并基于虚拟内存模拟的应用程序。其次,我们已经尝试将给定框架的代码插装形式化。在早期的著作中没有详细讨论这个问题。这将为这一领域的未来研究提供空间,更好的形式化可以帮助提出一个更有用、更健壮的工具来检测内存相关的bug。
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引用次数: 0
期刊
2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS)
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