2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)最新文献

Coding rates and MCS using adaptive modulation for WiMAX in OFDM systems using GNU Radio 在使用GNU无线电的OFDM系统中使用WiMAX自适应调制的编码速率和MCS

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745446

Lakshmi Boppana, Chandana N. Amanchi, R. Kodali

引用次数: 1

Improvised geographic scheme for greedy perimeter stateless routing 贪婪边界无状态路由的临时地理方案

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745449

Debasis Das, R. Misra

引用次数: 2

Speaker recognition system for security applications 安全应用的说话人识别系统

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745441

K. Selvan, M. Tech, Aju Joseph, Anish Babu

{"title":"Speaker recognition system for security applications","authors":"K. Selvan, M. Tech, Aju Joseph, Anish Babu","doi":"10.1109/RAICS.2013.6745441","DOIUrl":"https://doi.org/10.1109/RAICS.2013.6745441","url":null,"abstract":"Due to the rapid advances in algorithms, VLSI design and computer technology, security systems based on speaker recognition are on the verge of commercial success. Nowadays, it is obvious that speakers can be identified from their voices. In this paper, an improved strategy for Text Dependent Automatic Speaker Verification (TD-ASV) system based on Malayalam and English language has been proposed and comparison of results are discussed. The system performs on Hidden Markov Model (HMM) technique with cepstral based features. Different speech pre-processing techniques like pre-emphasis filtering, frame blocking and windowing have been used to process the speech utterances. MFCC, ΔMFCC and Δ ΔMFCC have been used to extract the features. Speaker Identification (SI) is performed using Continuous Hidden Markov Model. The performance is analyzed in terms of Percentage Correctness (PC) and accuracy and result is visualized in a confusion matrix. The system has percentage correctness of 99.71% in English and 99.71% in Malayalam language. An application with Graphical User Interface (GUI) is also developed for security purposes using the system. The system is developed using the framework of Hidden Markov Model Tool Kit (HTK).","PeriodicalId":184155,"journal":{"name":"2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","volume":"4 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":"124655832","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

Design of high precision electronics for laser range finder 高精度激光测距装置的设计

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745437

J. Jayarajan, R. Kumaran, Sandip Paul, R. Parmar, Purvi A. Koringa

{"title":"Design of high precision electronics for laser range finder","authors":"J. Jayarajan, R. Kumaran, Sandip Paul, R. Parmar, Purvi A. Koringa","doi":"10.1109/RAICS.2013.6745437","DOIUrl":"https://doi.org/10.1109/RAICS.2013.6745437","url":null,"abstract":"Resolution of Time to Digital Convertor (TDC) is a critical parameter in determining the overall performance of Time Of Flight based laser range finder system. This paper focuses on designing a high resolution Laser Range Finder (LRF) using Commercial-Off-The-Shelf (COTS) components. The designed LRF consists of a high resolution Time to Digital Convertor using Virtex-4 FPGA, Parallel to USB converter, High Voltage Power Supply and Data acquisition and display module. TDC generates START pulse at pulse repetition frequency (prf). This pulse is fed as trigger to laser TX. Avalanche Photo-Diode (APD) receiver with high voltage bias (~140V) generates a STOP pulse on receipt of reflected laser beam. This pulse is level translated and fed to TDC as STOP pulse. Digital Clock Manager (DCM) is used to achieve clock interpolation for improving resolution beyond 1 clock period. The output of TDC is parallel 16-bit digital count which is converted to serial USB protocol and interfaced to PC based data acquisition system. The raw data is processed and distance information is derived after calibration with known distance sets. Graphical User Interface (GUI) is developed for display, record and calibration. Full system resolution of about 22 cm is achieved in hardware for a range of 10m. The system has a power consumption of 6.15W.","PeriodicalId":184155,"journal":{"name":"2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","volume":"1 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":"126507969","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: 4

Hardware implementation of a robust watermarking technique for digital images 数字图像鲁棒水印技术的硬件实现

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745490

Archana Aniyan, J. Deepa

引用次数: 7

Smart camera networks: An analytical framework for auto calibration without ambiguity 智能摄像机网络:无歧义自动校准的分析框架

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745493

K. Vupparaboina, Kamala Raghavan, S. Jana

引用次数: 5

Detecting influential users using spread of communications 利用传播信息发现有影响力的用户

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745489

Saptaditya Maiti, D. Mandal, Pabitra Mitra

引用次数: 2

A novel approach in cooperative spectrum sensing for cognitive radio 认知无线电协同频谱感知新方法

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745444

Jubin James Thennattil, Ebin M. Manuel

引用次数: 5

A framework to customize privacy settings of online social network users 一个自定义在线社交网络用户隐私设置的框架

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745471

Agrima Srivastava, G. Geethakumari

{"title":"A framework to customize privacy settings of online social network users","authors":"Agrima Srivastava, G. Geethakumari","doi":"10.1109/RAICS.2013.6745471","DOIUrl":"https://doi.org/10.1109/RAICS.2013.6745471","url":null,"abstract":"Privacy is one of the most important concerns in an online social network. Online social network data is big data as millions of users are a part of it. The personal information of every user in an online social network is an asset that may be traded by a third party for its benefits. Individuals should be aware of how much of their personal information could be shared without risk. Different people have different requirements to share a profile item hence measuring privacy of such huge and diverse population is a challenging and complicated task in itself. In this paper we have proposed a framework that ensures privacy of individuals by allowing them to measure their privacy with respect to some specific people of their choice rather than measuring it with the entire population on online social networks. We have suggested a method to choose the best model to fit the real world data and to calculate the sensitivities of various profile items. The framework gives specific labels to users that indicates their profile privacy strength and enable them to customize their privacy settings so as to improve the privacy quotient. The users can also act as advisers to their online friends whose privacy quotients are low and thus spread privacy awareness in social networks.","PeriodicalId":184155,"journal":{"name":"2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","volume":"20 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":"127653066","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: 14

Classification of robotic data using artificial neural network 基于人工神经网络的机器人数据分类

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745497

Radhakrishnan Gopalapillai, J. Vidhya, Deepa Gupta, Sudarshan TSB

引用次数: 7