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2011 International Conference on Process Automation, Control and Computing最新文献

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Sinusoidal PWM Signal Generation Using TMS320C6711 DSP for Power Control in Mobile Phones 利用TMS320C6711 DSP产生正弦PWM信号,实现手机电源控制
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5979019
K. Karthikeyan, J. Jaisheela, M. Dinesh Kumar, K. Senthil Kumar
Pulse Width Modulation is a method of controlling the amount of power to a load without having to dissipate any power in the load driver. PWM signals are widely used in telecommunications, power control systems, voltage regulation and in audio signal processing. This paper deals with the optimized power control in mobile applications. PWM power control systems became reality with the advent of modern semiconductor switches like MOSFETs and Insulated Gate bipolar transistor (IGBT). PWM signals can be easily generated using microcontrollers rather than Digital signal processors (DSP), but when the sensor data from light intensity sensors are processed in real time, then microcontrollers can no longer be used because of less accuracy and speed and this is where DSP comes into play. Programming a DSP to generate PWM signal in accordance with the sensor data is not an easy task since the interfacing codes are not as simple as for microcontrollers. Hence the simulation of the PWM signal has been done to study the efficiency of the C code. This work is a part of a project to develop DSP-FPGA based BLDC motor control.
脉宽调制是一种控制负载的功率量而不必在负载驱动器中耗散任何功率的方法。PWM信号广泛应用于电信、电力控制系统、电压调节和音频信号处理等领域。本文研究了移动应用中最优的功率控制。随着现代半导体开关如mosfet和绝缘栅双极晶体管(IGBT)的出现,PWM功率控制系统成为现实。使用微控制器而不是数字信号处理器(DSP)可以很容易地生成PWM信号,但是当来自光强传感器的传感器数据被实时处理时,由于精度和速度较低,微控制器就不能再使用了,这就是DSP发挥作用的地方。根据传感器数据编程DSP来生成PWM信号并不是一件容易的事情,因为接口代码不像微控制器那么简单。因此对PWM信号进行了仿真,研究了C代码的效率。本工作是开发基于DSP-FPGA的无刷直流电机控制项目的一部分。
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引用次数: 3
Spam Classification Based on Supervised Learning Using Machine Learning Techniques 基于机器学习技术的监督学习垃圾邮件分类
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5979035
Ms. D. Karthika Renuka, Dr. T. Hamsapriya, Mr. M. Raja Chakkaravarthi, Ms. P. Lakshmi Surya
E-mail is one of the most popular and frequently used ways of communication due to its worldwide accessibility, relatively fast message transfer, and low sending cost. The flaws in the e-mail protocols and the increasing amount of electronic business and financial transactions directly contribute to the increase in e-mail-based threats. Email spam is one of the major problems of the today‟s Internet, bringing financial damage to companies and annoying individual users. Spam emails are invading users without their consent and filling their mail boxes. They consume more network capacity as well as time in checking and deleting spam mails. The vast majority of Internet users are outspoken in their disdain for spam, although enough of them respond to commercial offers that spam remains a viable source of income to spammers. While most of the users want to do right think to avoid and get rid of spam, they need clear and simple guidelines on how to behave. In spite of all the measures taken to eliminate spam, they are not yet eradicated. Also when the counter measures are over sensitive, even legitimate emails will be eliminated. Among the approaches developed to stop spam, filtering is the one of the most important technique. Many researches in spam filtering have been centered on the more sophisticated classifier-related issues. In recent days, Machine learning for spam classification is an important research issue. The effectiveness of the proposed work is explores and identifies the use of different learning algorithms for classifying spam messages from e-mail. A comparative analysis among the algorithms has also been presented.
电子邮件是最流行和最常用的通信方式之一,因为它在全球范围内都可以访问,消息传输相对较快,发送成本较低。电子邮件协议的缺陷以及电子商务和金融交易数量的增加直接导致了基于电子邮件的威胁的增加。垃圾邮件是当今互联网的主要问题之一,给公司带来了经济损失,也惹恼了个人用户。垃圾邮件在未经用户同意的情况下侵入用户并填满他们的邮箱。它们消耗更多的网络容量以及检查和删除垃圾邮件的时间。绝大多数互联网用户直言不讳地表示他们对垃圾邮件的鄙视,尽管他们中有足够多的人对商业报价做出回应,认为垃圾邮件仍然是垃圾邮件发送者的一个可行的收入来源。虽然大多数用户都希望正确思考以避免和摆脱垃圾邮件,但他们需要明确而简单的行为准则。尽管采取了各种措施来消除垃圾邮件,但它们仍未根除。另外,如果对策过于敏感,即使是合法的电子邮件也会被删除。在各种阻止垃圾邮件的方法中,过滤是最重要的技术之一。垃圾邮件过滤的许多研究都集中在更复杂的分类器相关问题上。近年来,机器学习对垃圾邮件分类是一个重要的研究课题。所提出的工作的有效性是探索和确定使用不同的学习算法来从电子邮件中分类垃圾邮件。并对各种算法进行了比较分析。
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引用次数: 62
Intelligent Schemes for Bandwidth Allocation in Cellular Mobile Networks 蜂窝移动网络中带宽分配的智能方案
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5978901
A. P. Isvarya Luckshmi, P. Visalakshi, N. Karthikeyan
A phenomenal growth is witnessed in the development and deployment of wireless services. Wireless bandwidth is a scarce resource in a cellular mobile network and hence must be effectively utilized. This paper introduces two intelligent schemes to investigate the bandwidth allocation in cellular mobile networks namely Back Propagation Neural Network (BPN) and Particle Swarm Optimization (PSO). The performance objective is to maximize the bandwidth utilization while minimizing the bandwidth allocation for individual users. PSO and BPN methods are compared with the conventional Random Allocation and Linear Programming based Resource Reduction methods. Simulation results prove that the PSO method performs better than the BPN method.
无线服务的发展和部署出现了惊人的增长。无线带宽在蜂窝移动网络中是一种稀缺资源,因此必须有效利用。本文介绍了两种智能方案来研究蜂窝移动网络中的带宽分配,即反向传播神经网络(BPN)和粒子群优化(PSO)。性能目标是使带宽利用率最大化,同时使单个用户的带宽分配最小化。将PSO和BPN方法与传统的基于随机分配和线性规划的资源缩减方法进行了比较。仿真结果表明,粒子群算法优于BPN算法。
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引用次数: 6
Performance Comparison of Advanced Encryption Standard (AES) and AES Key Dependent S-Box - Simulation Using MATLAB 高级加密标准(AES)与AES密钥相关s盒的性能比较——MATLAB仿真
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5979007
S. Shivkumar, G. Umamaheswari
The growing popularity of mobile and hand held devices ignited the growth of wireless networks over the past years. Wireless data communications have transformed not only the business world but also the human society by improving efficiency, flexibility, convenience, and above all productivity. Wireless Local Area Networks (WLAN) typically emulate the wired networks traditional hub-spoke configuration. The best known and most widely used variation of the 802.11 WLAN standard is 802.11b. Encryption in 802.11b is provided by Wired Equivalent Privacy (WEP), which has many weaknesses and flaws. Therefore the IEEE ratified 802.11i WLAN security standard in June 2004. The new cryptography was based on the Advanced Encryption Standard (AES) algorithm. The Substitution box (S-box) in AES brings non linearity to cryptosystem and strengthens their cryptographic security. In this paper RC4 stream cipher is used to generate S-box for AES. The generated S-boxes are more dynamic and key dependent which will increase the complexity and make the differential and linear cryptanalysis more difficult.
过去几年,移动和手持设备的日益普及点燃了无线网络的发展。无线数据通信通过提高效率、灵活性、便利性,尤其是生产力,不仅改变了商业世界,也改变了人类社会。无线局域网(WLAN)通常模拟有线网络的传统轮毂配置。802.11 WLAN标准的最著名和最广泛使用的变体是802.11b。802.11b中的加密是由有线等效隐私(WEP)提供的,它有许多弱点和缺陷。因此,IEEE于2004年6月批准了802.11i无线局域网安全标准。这种新的加密方法基于高级加密标准(AES)算法。AES中的替换盒(S-box)给密码系统带来了非线性,增强了密码系统的安全性。本文采用RC4流密码生成AES的S-box。生成的s盒更具动态性和密钥依赖性,这将增加复杂性,使微分和线性密码分析变得更加困难。
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引用次数: 31
Requirement Analysis of Ubiquitous Intelligence System for Personal Diet Formulation and Maintenance 个人饮食配方与维护泛在智能系统的需求分析
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5978970
Mary Tom, A. Chiou
Nutrition Related Diseases (NRD) are globally widespread causing substantial economic cost for governments and individuals. Formulating and maintaining a balanced diet meeting the Recommended Dietary Intake (RDI) is complex, time consuming task. The detailed analysis conducted in this study reveals many intellectual tasks involved in meals scheduling and diet formulation. This study reports the results of requirement analysis of a Ubiquitous Intelligence System for automating the diet formulation, monitoring and maintenance. The authors propose Dietary Intelligence System (DIligenS) that applies computational intelligence and has the architectural components of knowledge base, inference engine, data base and data extraction and conversion modules in addition to the knowledge building and application interface.
营养相关疾病(NRD)在全球范围内广泛存在,给政府和个人造成了巨大的经济成本。制定和维持符合推荐膳食摄入量(RDI)的均衡饮食是一项复杂而耗时的任务。在本研究中进行的详细分析揭示了许多涉及膳食计划和饮食制定的智力任务。本研究报告了一种用于自动化饮食配方、监测和维护的泛在智能系统的需求分析结果。本文提出了一种应用计算智能的膳食智能系统(Dietary Intelligence System, DIligenS),该系统除知识构建和应用接口外,还具有知识库、推理引擎、数据库和数据提取与转换模块等架构组件。
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引用次数: 3
Lexical Chaining Process for Text Generations 文本生成的词法链化过程
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5978932
V. Shanthi, S. Lalitha
Lexical chains are defined as clusters of semantically related words. The Lexical chaining architecture integrates domain dependent statistical word associations into the chaining process. The statistical word associations represent an additional type of lexical cohesive relationship that is not found in WordNet. The architecture also recognizes the gloss definitions which identifies the relations between two concepts not directly related.
词汇链被定义为语义相关词的聚类。词法链接体系结构将领域相关的统计词关联集成到链接过程中。统计词关联代表了WordNet中没有的另一种词汇内聚关系。该体系结构还可以识别识别两个不直接相关的概念之间关系的模糊定义。
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引用次数: 5
Dynamic Stability Enhancement Using Self-Tuning Static Synchronous Compensator 利用自整定静态同步补偿器增强动态稳定性
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5978924
R. Narne, J. Therattil, Laxmidhar Sahu, P. C. Panda
The design of a self tuning Static Synchronous Compensator (STATCOM) based on pole placement method is presented. In order to maintain good damping characteristics when there is a drastic change in system operating condition, the gain settings are adapted in real time based on the continuously measured system inputs and outputs. The new self tuning proportional integral (PI) control can provide better damping characteristics than a fixed gain PI control STATCOM over a wide range of operating conditions. Digital simulation of a two machine system following a three phase fault under different loading conditions is performed to demonstrate the robustness and effectiveness of the developed controller. Simulation results are presented at the end of the paper.
提出了一种基于极点放置法的自调谐静态同步补偿器的设计方法。为了在系统工作条件发生剧烈变化时保持良好的阻尼特性,根据连续测量的系统输入和输出实时调整增益设置。新的自调谐比例积分(PI)控制可以在广泛的工作条件下提供比固定增益PI控制STATCOM更好的阻尼特性。通过对不同负载条件下三相故障双机系统的数字仿真,验证了所设计控制器的鲁棒性和有效性。最后给出了仿真结果。
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引用次数: 6
Kalman Filter Based State Estimation of a Thermal Power Plant 基于卡尔曼滤波的火电厂状态估计
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5978971
Akhil Nair, T. Radhakrishnan, K. Srinivasan, S. Rominus Valsalam
Tangentially-fired furnaces (TFF) are vortex-combustion units and are widely used in steam generators of thermal power plants. Perfect modeling and simulation of furnace gas temperature is quite difficult, due to its complex aerodynamics of burning particles, flame stability and hot gas flow distribution throughout the furnace. The temperature of the furnace gas depends on many parameters such as the inclination angle (tilt angle), fuel quality, burn out percentage and the flow rates in the burners for each of the furnace corners. However, the measurements are not available in the existing furnace operated at Neyveli Lignite Corporation (NLC), Neyveli. Thus, state estimation of temperature is an important prerequisite for safe and economical process operations. It is an integral part of applications such as process monitoring, fault detection and diagnosis, process optimization, and model-based control. Because all the process variables are generally not measured, an observer can be designed to generate an estimate of the state by making use of the relevant process inputs, outputs, and process knowledge, in the form of a mathematical model. The aim is to design a good state estimator for the furnace. Linear Kalman Filter (LKF) and Extended Kalman Filter (EKF) algorithms are developed for this problem and simulation results are compared.
切向燃烧炉是一种涡流燃烧装置,广泛应用于火力发电厂的蒸汽发生器中。由于燃烧颗粒的复杂空气动力学、火焰稳定性和热气流在整个炉膛内的分布,对炉内气体温度进行完美的建模和仿真是相当困难的。炉气的温度取决于许多参数,如倾斜角(倾斜角),燃料质量,燃尽百分比和每个炉角的燃烧器流量。然而,在Neyveli褐煤公司(NLC)运营的现有炉中无法进行测量。因此,温度状态估计是过程安全经济运行的重要前提。它是过程监控、故障检测和诊断、过程优化和基于模型的控制等应用的组成部分。因为所有的过程变量通常都是不可测量的,所以可以设计一个观测器,通过利用相关的过程输入、输出和过程知识,以数学模型的形式对状态进行估计。目的是设计一个好的炉膛状态估计器。针对这一问题,提出了线性卡尔曼滤波(LKF)和扩展卡尔曼滤波(EKF)算法,并对仿真结果进行了比较。
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引用次数: 3
Energy Efficient Routing Protocol for Wireless Sensor Networks 无线传感器网络的节能路由协议
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5978934
Manian Dhivya, Ashok Kumar Potnuru, M. Sundarambal
Wireless sensor networks consist of tiny sensor nodes with sensing, computation and wireless communication capabilities. The design of routing protocols is influenced by various factors like fault tolerance, energy efficiency, scalability, latency, power consumption and network topology. The primary design objective of research is determining the active nodes and enhancing the energy efficiency. In this paper a new protocol is proposed based on the characteristics of Threshold - sensitive Energy Efficient sensor Network protocol and Ad hoc On-demand Distance Vector. The simulation results show that the proposed protocol is efficient in transmission of packets, energy and throughput.
无线传感器网络由具有传感、计算和无线通信能力的微小传感器节点组成。路由协议的设计受到容错、能效、可扩展性、延迟、功耗和网络拓扑等多种因素的影响。研究的主要设计目标是确定活动节点,提高能源效率。基于阈值敏感节能传感器网络协议和自组织按需距离矢量的特点,提出了一种新的传感器网络协议。仿真结果表明,该协议在数据包传输、能量和吞吐量方面都是高效的。
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引用次数: 20
Joint Timing, Carrier Frequency and Sampling Clock Offset Estimation for MIMO OFDM WLAN Systems MIMO OFDM WLAN系统的联合定时、载波频率和采样时钟偏移估计
Pub Date : 2011-07-20 DOI: 10.1109/PACC.2011.5978993
G. Prema, P. Ananthi
This paper proposes time, frequency and clock synchronization technique for a Q transmit and L receive (Q x L), Multiple-Input Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) for Wireless Local Area Network (WLAN) systems. OFDM is a multi-carrier modulation scheme that transmits a large number of closely spaced sub-carriers to be modulated with a conventional modulation technique. MIMO OFDM is a promising candidate for achieving high data rate transmission in mobile environment. However OFDM technique is sensitive to time offset, frequency offset and clock offset. OFDM is resistant to multi-path fading; it requires a high degree of synchronization to maintain sub-carrier orthogonality. Estimating the start of the frame minimizes the Inter Symbol Interference (ISI) and estimating the correct Carrier Frequency Offset (CFO) and Sampling Clock Offset (SCO) minimizes the Inter Carrier Interference (ICI).
本文提出了一种用于无线局域网(WLAN)系统的Q发L收(Q × L)、多输入多输出(MIMO)正交频分复用(OFDM)的时间、频率和时钟同步技术。OFDM是一种多载波调制方案,它传输大量紧密间隔的子载波,用常规调制技术进行调制。MIMO OFDM是在移动环境下实现高数据速率传输的一个很有前途的候选方案。然而,OFDM技术对时间偏移、频率偏移和时钟偏移很敏感。OFDM抗多径衰落;它要求高度同步以保持子载波正交性。估计帧的开始可以最小化符号间干扰(ISI),估计正确的载波频率偏移(CFO)和采样时钟偏移(SCO)可以最小化载波间干扰(ICI)。
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引用次数: 1
期刊
2011 International Conference on Process Automation, Control and Computing
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