2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)最新文献_第7页

Design and hardware development of power window control mechanism using microcontroller 基于单片机的电源窗控制机构的设计与硬件开发

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719813

Roushan Kumar, Adesh Kumar

{"title":"Design and hardware development of power window control mechanism using microcontroller","authors":"Roushan Kumar, Adesh Kumar","doi":"10.1109/ICSPCOM.2013.6719813","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2013.6719813","url":null,"abstract":"The research paper emphasizes on the design and real time implementation of microcontroller based power window control used as a control system for moving a power window panel. The purpose of power window control system is to raise and lower door glass with the help of a switch and its operation is controlled by the use of following sensors LPG sensor, LDR sensor and position sensor to replace the use of hand-turned crank handle. Power window system consists of driver motor, power electronic and control system. The control unit senses both hard and soft obstructions and deactivates a motor that moves the glass when any obstruction is detected. The controller also senses obstructions on start-up of the motor and regulates the speed of the window panel by pulse width modulating motor signals. In other way the controller senses obstructions by maintaining data which is related to motor operation in three different memory buffers that are regularly updated upon receipt of pulses that are related to motor speed. The whole system can be designed as an intelligent control system by applying number of conditions which results to the movement of the power window. It increases the safety of the automobile as well as increases human comfort inside the vehicle. Such applications are fire safety in the vehicle, over temperature detection, sensing of LPG leakage. Hardware implementation includes some basic input switches, sensors connected to the microcontroller and the LEDs and LCD are used to show the status of output. Input sensors used for this research are LPG sensor, LDR sensor and position sensor, output is the functioning of the motor. The implementation work is carried out using AVR ATMEGA 16 microcontroller.","PeriodicalId":272955,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122672030","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: 16

An efficient hybrid adaptive pulse compression approach to radar detection 一种有效的混合自适应脉冲压缩雷达探测方法

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719808

V. Baghel, Ankita Panda, G. Panda

引用次数: 4

Effect of contact thickness on electrical properties of Organic Thin Film Transistors 接触厚度对有机薄膜晶体管电性能的影响

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719818

S. Saxena, B. Kumar, B. Kaushik, Y. S. Negi

引用次数: 4

Performance analysis of wavelet transform for unspoken words 小波变换对潜语的性能分析

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719793

M. Saini, J. S. Saini, Neeraj

{"title":"Performance analysis of wavelet transform for unspoken words","authors":"M. Saini, J. S. Saini, Neeraj","doi":"10.1109/ICSPCOM.2013.6719793","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2013.6719793","url":null,"abstract":"This paper aims to identify unspoken words using facial muscle activity without audible signal. A novel approach of wavelet analysis using different filter coefficients and the performance analysis of each filter coefficients along with classifiers is introduced. The technique is successfully used to classify 5 vowels, month name, weekdays and is not sensitive to the variation in speed and the speaking style of the different subjects and is used as recognition variables to recognize the unspoken words. This is an efficient technique that measures the relative muscle activity of the articulatory facial muscles and it is shown that former systems go through austere performance degradation when new words are acquainted. Using wavelet, word error rate and classification rate achieve a noteworthy success. This paper presents wavelet analysis of surface electromyogram (SEMG) of four facial muscles to decompose the signal and identify the words and classifying these words by three wavelets. Using three filter coefficients of Daubechies, Coiflets and Symlets, the unspoken word has been recognized. This represents the proportional muscle activity of the four muscles. These are classified using k-nearest neighbor, probabilistic neural network and support vector machine to identify the speech. It is urged that such applied science may be used for the user to give simple voiceless commands when conditioned for the specific user.","PeriodicalId":272955,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117230177","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: 1

DFT implementation aspects and techniques suitable for VLSI implementation: A survey 适合VLSI实现的DFT实现方面和技术:调查

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719807

Tanuj Chauhan, V. Karwal

引用次数: 1

Performance comparison of non-coherent IR-UWB receivers 非相干IR-UWB接收机的性能比较

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719772

Ranjay Hazra, Anshul Tyagi

引用次数: 3

A single pass, high throughput reversible watermarking scheme for audio based on redundant embedding 一种基于冗余嵌入的单通道高吞吐量可逆音频水印方案

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719802

R. Naskar, A. Raju, R. Chakraborty

引用次数: 3

Performance & probability analysis of Lightweight Identification Protocol 轻量级识别协议的性能与概率分析

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719760

Manjulata, Adarsh Kumar

引用次数: 1

Active contour model via multi-swarm PSO with fuzzy rule-based adaptation of inertia factor 基于模糊规则自适应惯性因子的多群粒子群优化主动轮廓模型

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719781

A. Khunteta, D. Ghosh

{"title":"Active contour model via multi-swarm PSO with fuzzy rule-based adaptation of inertia factor","authors":"A. Khunteta, D. Ghosh","doi":"10.1109/ICSPCOM.2013.6719781","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2013.6719781","url":null,"abstract":"Active contour models, colloquially known as snakes, are quite popular for several applications such as object boundary detection, image segmentation, object tracking and classification. A snake is an energy minimizing curve that, starting from an initial contour, deforms iteratively thereby gradually moving towards the desired object boundary. Finally, it shrinks and wraps around the object. Therefore, the problem at hand is to find the contour that minimizes the snake energy. While energy minimization may be accomplished using traditional optimization methods, approaches based on nature-inspired evolutionary algorithms have been developed in recent years. One such evolutionary algorithm that has been used extensively in active contours is the particle swarm optimization (PSO). However, conventional PSO converges slowly and gets trapped in local minimum easily. The problem of local minimum results in inaccurate detection of concavities in the object boundary. This is taken care of by using multi-swarm PSO in which a swarm is set for every control point in the snake and then all the swarms search for their best points simultaneously and collaboratively through information sharing among them. The performance of the search process is further enhanced by using dynamic adaptation of the inertia factor. Inertia factor is used to balance the global and local search ability. In this paper, we propose to use a set of fuzzy rules to adjust the inertia weight on the basis of the current normalized snake energy and the current value of inertia. This improves the search for object concavities. Experimental results demonstrate the effectiveness of the proposed method compared to conventional approaches.","PeriodicalId":272955,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131496234","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: 1

Instantaneous fundamental frequency estimation of speech signals using DESA in low-frequency region 基于DESA的语音信号低频区瞬时基频估计

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719836

Purshottam Singh Rathore, R. B. Pachori

{"title":"Instantaneous fundamental frequency estimation of speech signals using DESA in low-frequency region","authors":"Purshottam Singh Rathore, R. B. Pachori","doi":"10.1109/ICSPCOM.2013.6719836","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2013.6719836","url":null,"abstract":"Instantaneous fundamental frequency (IFF) is one of the basic signal parameters of speech signals. Accurate estimation of the IFF of speech signals can be used for speaker recognition system, gender identification and emotion recognition. Various methods for estimation of the IFF of speech signals have been proposed in the literature. In this paper, we propose a new method to estimate IFF of speech signals using the discrete energy separation algorithm (DESA) in the low-frequency region. The Fourier-Bessel (FB) series expansion has been used to filter out the low-frequency region from the speech signal. The reconstructed band-limited signal from the FB coefficients is modeled by using the amplitude and frequency modulated (AM-FM) signal model. Amplitude envelope of the reconstructed band-limited signal is estimated using the DESA. The estimation of amplitude envelope function has been used for detection of glottal closure instants (GCIs). Inverse of time elapsed between two consecutive GCIs provides IFF of speech signals. Simulation results of proposed method have been compared with the IFF computed from reference differenced electroglottograph (EGG) signal. The CMU-Arctic database has been used in this work for validation of the proposed method for IFF determination. It has been observed that the proposed method provides accurate estimation of IFF of speech signals at most of time instants.","PeriodicalId":272955,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132816492","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: 9