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2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)最新文献

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Design of Wideband Broccoli Fractal Antenna for WiMAX/WLAN Applications WiMAX/WLAN宽带西兰花分形天线设计
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473257
Anish Patel, Riki H. Patel, A. Desai, T. Upadhyaya, Jay Patel
{"title":"Design of Wideband Broccoli Fractal Antenna for WiMAX/WLAN Applications","authors":"Anish Patel, Riki H. Patel, A. Desai, T. Upadhyaya, Jay Patel","doi":"10.1109/ICICCT.2018.8473257","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473257","url":null,"abstract":"Rapid increase in wireless communication systems has boom the demand for antennas. Antenna with increased gain, increased bandwidth, small size and low profile are mostly preferred in recent communication links. One such method to perform is fractal simulation of Microstrip Patch Antenna. This paper presents a design and simulation of fractal in simple circular patch antenna up to three iterations. With the aim of increasing gain, minor modifications are performed in the design after final iteration. Following design is made using HFSS software with the substrate material as FR4 having 4.4 dielectric constant and 1.6mm height. Possessed antenna gives a wideband up to 18% between 5.32-6.35 GHz frequencies for WiMAX/WLAN applications.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130085398","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: 2
Design of an Efficient Algorithm for Iris Recognition 一种高效的虹膜识别算法设计
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473179
Sunil S. Harakannanavar, TS Asharani
{"title":"Design of an Efficient Algorithm for Iris Recognition","authors":"Sunil S. Harakannanavar, TS Asharani","doi":"10.1109/ICICCT.2018.8473179","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473179","url":null,"abstract":"The Iris pattern is an important biological feature of human body. The recognition of an individual based on iris pattern is gaining more popularity due to the uniqueness of the pattern among the people. In this paper, the iris images are read from the database and preprocessing is performed to enhance the quality of images. Further the iris and pupil boundaries are detected using circular Hough transform and normalization is performed by using Dougman's rubber sheet model. The fusion is performed in patch level. For performing fusion, the image is converted in to 3×3 patches for mask image and converted rubber sheet model. Patch conversion is done by sliding window technique. So that local information for individual pixels can be extracted. The desired features are extracted by block empirical mode decomposition as a low pass filter to analyze iris images. Finally the matching between the database image and test image is performed using Euclidean Distance classifier. The experimental results shows 100% accuracy on CASIA V1.0 database compared with other state-of-art methods.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129085533","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: 2
Design & Performance Analysis of Area Optimized in BPSK on NCO and High Speed 64 Bit-QAM with Gardner Algorithm 基于NCO和高速64位qam的BPSK区域优化设计与性能分析
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473312
R. Ilaiyaraja, S. Sedhumadhavan
{"title":"Design & Performance Analysis of Area Optimized in BPSK on NCO and High Speed 64 Bit-QAM with Gardner Algorithm","authors":"R. Ilaiyaraja, S. Sedhumadhavan","doi":"10.1109/ICICCT.2018.8473312","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473312","url":null,"abstract":"This project used its reconfigurable ability and high throughput performance, using Field Programmable Gate Array (FPGA). Our aim of this paper, BPSK system is designed in verilog for optimized area (as a single block to generate two signals). In order to reduced area have to using numerically controlled oscillator (NCO). By using this NCO system we can controlling the phase of the each carrier signal. The designs have been successfully verified by simulation and implementation. The drawback of BPSK system speed is very slow and this system is not suitable for high bit data rate. So that having to plan design and implementation of 64QAM (Quadrature Amplitude Modulation) for increasing the speed, flexibility, accuracy and configurability in designing and implementation. We can implemented gray code symbol mapping and differential code symbol mapping on 64QAM system.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122356670","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
Traffic Light Controller Using Sound Sensors and Density Sensors 使用声音传感器和密度传感器的交通灯控制器
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473089
R. Jegan, E. Sree Devi, M. Sindhuja, S. Pushna, D. Sudhaa
{"title":"Traffic Light Controller Using Sound Sensors and Density Sensors","authors":"R. Jegan, E. Sree Devi, M. Sindhuja, S. Pushna, D. Sudhaa","doi":"10.1109/ICICCT.2018.8473089","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473089","url":null,"abstract":"The goal of our project is to design a system which controls the traffic signal based on vehicle density and sound sensing. In daily routine we come across many control signals with fixed time and that causes pedestrians to wait for the traffic signal even though there is no traffic on the other sides and traffic light control time extend on the non-peak hours. It may cause high fuel consumption, long time duration for people and emergency vehicle control is difficult. In order to reduce these problems, we are using density sensor for measuring density of the vehicles and sound sensors to detect the sound signals of such vehicles. All these sensors are interfaced to the PIC micro controller to collect the data and provide priority to the congested lane.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132415432","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: 3
Demographic Progress Analysis of Census Data Using Data Mining 基于数据挖掘的人口普查数据进展分析
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473038
Manan Chawda, Rutuja Rane, Srikanth Giri
{"title":"Demographic Progress Analysis of Census Data Using Data Mining","authors":"Manan Chawda, Rutuja Rane, Srikanth Giri","doi":"10.1109/ICICCT.2018.8473038","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473038","url":null,"abstract":"The detailed statistics provided by the population census of the nation comprises of a lot of hidden patterns. These patterns when unfolded, prove to be extremely valuable in terms of assisting the decisions of the government. In this paper we aim at analysing the relationships between different attributes using data mining techniques. Examining the fields of education and health-care in detail, to predict and forecast the likely future statistics, we are trying to create a system that can aid the municipal corporations to take well-informed decisions. We have used linear regression and decision tree induction for the prediction purposes. We have implemented ARIMA models in forecasting of the data. We have also provided a detailed overview about target-based progress tracking using Monte Carlo Simulation.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126375670","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
Estimation of Fault Location in Line-Commutated Converter based Bipolar High Voltage Direct Current Transmission System 基于线路换流变换器的双极高压直流输电系统故障定位估计
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473357
A. Swetapadma
{"title":"Estimation of Fault Location in Line-Commutated Converter based Bipolar High Voltage Direct Current Transmission System","authors":"A. Swetapadma","doi":"10.1109/ICICCT.2018.8473357","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473357","url":null,"abstract":"In this work a fault location estimation method has been proposed for line commutated converter (LCC) based bipolar high voltage direct current (HVDC) transmission lines. The proposed method uses DC current signals from rectifier end of the line to estimate the location of fault. All the simulation and algorithm design work has been carried on MATLAB. Fault type classification (pole 1 to ground (P1G) and pole 2 to ground (P2G)) is the pre-requisite criteria for fault location estimation. The proposed method is tested with various fault cases and error in location has been calculated. The results of the proposed method are promising.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126369702","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: 3
Two-Stage FinFet-MOSFET Hybrid Inductive Boost Converter 两级FinFet-MOSFET混合电感升压转换器
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473225
M. Yasir, M. Hasan, M. S. Ansari
{"title":"Two-Stage FinFet-MOSFET Hybrid Inductive Boost Converter","authors":"M. Yasir, M. Hasan, M. S. Ansari","doi":"10.1109/ICICCT.2018.8473225","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473225","url":null,"abstract":"Energy Hrvesting is the need of modern world as it provides clean energy. Biomedical applications, wireless sensor networks, and body sensor networks can easily work on energy harvesting system because they require very low voltages and power for their proper operation. A DC to DC boost converter is a main block in an energy harvesting system. In this paper a dual-stage hybrid DC to DC converter is proposed using FinFET transistors in the first stage and M OS transistors in the second stage is proposed. An output of $2.9V$ has been achieved from a $120m V$ input voltage. The proposed circuit uses very low value of inductors compared to the existing converters and hence suitable for IC fabrication. Circuit performance has been investigated extensively using HSPICE simulation.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126471076","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: 2
Automatic Speed Control of Vehicle Using Video Processing 基于视频处理的车辆自动速度控制
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473149
R. D. Thombare, P. Sawant, P. Sawant, P. Sawant, V.P. Naik
{"title":"Automatic Speed Control of Vehicle Using Video Processing","authors":"R. D. Thombare, P. Sawant, P. Sawant, P. Sawant, V.P. Naik","doi":"10.1109/ICICCT.2018.8473149","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473149","url":null,"abstract":"In our day today life, time is very important thing so everyone trying to complete the task in less time is the human tendency. Therefore to complete the desired task as early as possiblewe should increase the speed, for example speed of vehicle. If we see the scenarios of vehicle density, it is continuously going on increasing form. As well as the drivers are not following the rules and regulation given by traffic control department at specific areas. But most of the drivers drive the vehicle very fast in that restricted areas with and without reasons. It is happened because of vehicle speed control is on drivers hand and over speeddriving are there. The over speed of vehicle is the major problem due to number of accidents are increased much more [1]. To overcome these problems we proposed automatic speed control of vehicle using video processing with small modification in existing system. It reduces the speed of vehicle gradually when the restricted areas are detected. For that video recording is done through small camera of road scene and detection and identification of Road Traffic sign is done using Speeded up Robust Features (SURF) algorithm in MAT LAB Simulink software. To reduce the vehicle speed gradually PID controller is used. The simulink model is developed in Matlab environment and results are obtained.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"40 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114129199","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: 2
Energy-Efficient Cooperative Spectrum Sensing: A Review 高能效协同频谱传感研究进展
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473014
S. Anjana, S. Nandan
{"title":"Energy-Efficient Cooperative Spectrum Sensing: A Review","authors":"S. Anjana, S. Nandan","doi":"10.1109/ICICCT.2018.8473014","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473014","url":null,"abstract":"Cognitive radio (CR) is a promising solution for improving spectral utilization. Those bands of frequencies which are allocated to primary users (PU) or licensed users, can be used by secondary users (SU) or cognitive users, when PU are not present. Hence, spectrum sensing is necessary to identify the available spectrum and to prevent harmful interference with licensed users. Cooperative spectrum sensing (CSS) is used commonly because spectrum sensing of individual nodes cannot achieve high detection accuracy. The drawback of CSS scheme is that there exists a trade off between energy consumption and sensing performance. A more accurate sensing procedure requires minimizing energy consumption without degrading detection performance. In this paper, a survey of various works which aims to maximize the energy efficiency without degrading sensing performance is done.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248915","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: 5
Gait Based Authentication with Hog Feature Extraction 基于步态的Hog特征提取认证
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2018-04-01 DOI: 10.1109/ICICCT.2018.8473007
S. Monisha, G. Sheeba
{"title":"Gait Based Authentication with Hog Feature Extraction","authors":"S. Monisha, G. Sheeba","doi":"10.1109/ICICCT.2018.8473007","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473007","url":null,"abstract":"Human Gait, a soft biometric helps to recognize people by the manner, they walk, it also used for recognizingphysical behavioural of human. The process of human motion analysis and biometrics has attracted several secured environments such as military, banks and airports etc, which leads to be a popular research direction. In this paper the human behaviour is recognized from a set of video samples and the features are extracted using HOG transform. KNN classifiers are used to classify the features extracted from the videos. The HOG feature based analysis has achieved higher recognition and accuracy of 93% compared to the existing methods.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116094063","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
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