IJCTA-Volume 8 Issue 3 / MAY-JUNE 2017
Title/Author Name
Page No
Automatic Number and license plate Recognition system
-Praveen Kumar,Chaitanya MSVS,M.Sailesh,G.Sai Siril
In this paper, we are proposing a mechanised and automatic number and licence plate recognition system which can extract the characters from the number plate of the vehicle passing through a location where the system has been installed using image processing algorithms. There is no need of additional devices like GPS, Bluetooth etc. to be installed for the proposed system. Only RFID and the usage of camera has been implemented for the additional security purpose. Using RFID detects the identification of the person and using of cameras, takes the pictures of the passing vehicles and forwards the image to the computer for being processed, the software used uses different algorithm like normalisation, segmentation and optical character recognition (OCR).The resultant data is compared with a data in the data base Experimental results show that the proposed automatic number plate recognition system successfully recognizes and detects the number plate of the vehicle whose details has to be verified. This system can be used for security, parking and traffic purposes.
Keywords: LNPR, OCR, RFID, GPS.
Real Time Stream Processing in a Big data with Hadoop
-Goutham R,Saravana Kumar K.R.Subash
Real-Time Stream Processing In A Big Data With Hadoop(RSPBH), The remote sensing virtual international daily generate large extent of real-time records, data are remotely amassed inclusive of to investigate, aggregate, and stock it. huge statistics is extracting the beneficial information in an efficient manner. The Analytical Architecture overcomes these challenges by using 3 main units SDU, SDPU, DMU-CA. In Streaming data unit(SDU) the data is collected and placed in the local file of the host machine. In Streaming Data process unit(SDPU) the main reduction of data takes place by Mapreduce technique present again in Hadoop. In Decision making unit for complex analysis (DMU CA) the data stored after the Mapreduce is placed back in local host machine as we don’t have analysis option in Hadoop.
Keywords: Big data, SDU, SDPU, DMU-CA,RSPBH
A Novel IOT Approach for Human Presence Detection and Home Monitoring System
-Reenu Varghese,Saju A
Due to hardware limitations of Raspberry pi, motion detection is implemented by comparing the last two consecutive images saved locally. In this work, can be identified intruder motion there by securing the area. When a face is identified, the algorithm will check the database. If the face is in the database, it will show whose face is it. It the face that are identified is not in database, it will show as “unknown”. At that particular instant of time, the server notifies to the user and all the images from the point of identification are uploaded to a cloud server and sent via email. Through the website we can observe the room and control operations can be done by raspberry pi. This works aims to describe a security system using low processing raspberry pi using Internet of things.
Key Words –IOT, Raspberry Pi, Webcam
WikiSum - A Text Summarization Application for Wikipedia Documents
-Renuka Devi,Aditya B,Abhinav Rajput
We display a technique for separating sentencesb from an individual report to fill in as an archive outline or a pre-cursor to making a nonexclusive record unique. We apply syntactic investigation of the content that delivers an intelligent frame examination for each sentence. We utilize subjectobjectpredicate (SOP) triples from individual sentences to make a semantic diagram of the first report and the relating human separated rundown. Utilizing the Support Vector Machines learning calculation, we prepare a classifier to distinguish SOP triples from the archive semantic chart that have a place with the rundown. Due to the consistent development of Wikipedia,WikiSum likewise gives an expanding increased the value of information procurement, re-utilize and joining assignments inside organisations. During the advancement of WikiSum we discovered that it is critical to handle Wikipedia refreshes in a need line. As of late refreshed Wikipedia articles ought to have the most elevated need, over mapping-changes and unmodified pages. A general finding is that there is an a lot of chances emerging from the developing Web of Data for administrators.
Index Terms—SDN, OpenDaylight, Relay , LATEX, paper, template.
Enhancement of Security in VANET by Detection of Malicious Nodes using Trust System
-Diljot kaur,Simarjit Singh Malhi
Vehicular ad-hoc network (VANET) is one of the recent and promising technologies to revolutionize the transportation system where vehicles can communicate by exchanging messages via wireless medium. It has received a lot of interest in the last few years. But still there are many issues that need to be resolved for its betterment and use in the transportation system. Though, security is of major concern whenever we talk about communication between entities in a network, therefore it needs to be addressed perfectly. This paper present a security enhancement which when deployed will produce efficient results in the detection and prevention of malicious nodes in the system. With the detection of malicious nodes in the system, we will reduce the risk by selection of the trusted nodes and hence will increase system availability.
Enhancement of Routing in Urban Scenario using Link State Routing Protocol and Firefly Optimization
-Dhanveer Kaur,Harwant Singh Arri
Vehicular ad-hoc network (VANET) is one of the recent and promising technologies to revolutionize the transportation system where vehicles can communicate by exchanging messages via wireless medium. It has received a lot of interest in the last few years. But still there are many challenges that need to be resolved for its efficient use in the transportation system. Though, in case of selection of street at the intersection and relay node selection in intra-street is of major concern whenever we talk about communication between entities in a network, therefore it needs to be addressed perfectly. This paper present a routing enhancement which when deployed will produce efficient results in the intra-street communication and selection of street at intersection. With the selection of optimal relaying nodes, we will improve the ratio of packet delivery, network yield, reduce the end to end delay, and reduce the routing overhead.
A Contemporary Approach to Component-Based Software Testing
-Saurabh Rawat,Rajesh Kumar
Testing is a vital action encouraging productivity, not negligible, in the sphere when Software Development community is enveloped by Component Based Software Development. Testing constitutes more than fifty percent of the expense of Software Development, resulting in increased cost.This paper describes the issues and challenges of component-based systems. This paper also suggests the requirement of a novel approach to testing of component-based software. It also proposes a novel approach to testing of component-based software while considering some important factors like component study, component test case design, component test execution, and component test analysis and component test documentation.
Keywords - Component-based development, Software Component Testing, Issues and Challenges in Component-Based Software Testing
Optimized FIR Filter Using Distributed Parallel Architecture for Audio Application
-Prathibha P Nair,Tintu Mary John
Digital Signal Processing is an important area having a wide range of applications with Digital Filters as the key element. Different architectures can be used for implementing FIR filters, Distributed Arithmetic is one such architecture. This is a multiplier less architecture, since multipliers are the speed limiting elements in a VLSI circuit. Thus it consumes less area than basic FIR filter by replacing multipliers with shift and add operation. Multimedia requires signal processing to be fast with less power consumption. Audio signal processing is an important application in multimedia. In order to perform this filtering function efficiently, we can optimize the delay, power and area, for that, Distributed Parallel Architecture is used. In this paper an FIR filter is designed using the Filter Design and Analysis (FDA) tool in MATLAB and the filter coefficients are calculated in 16-bit fixed point format. The input values of the audio signal is generated to HDL code by programming in MATLAB R2015a. The filter is implemented for Audio Application using basic filter structure, serial Distributed Arithmetic and parallel Distributed Arithmetic Architecture in Xilinx ISE 14.7 by programming in VHDL and the speed, area and power of these filters are compared. 40% increase in speed is obtained in Parallel Distributed Arithmetic FIR filter compared to the serial structure and when compared to the basic Direct form structure, there is 70% speed improvement.
Keywords- Digital Signal Processing, FIR filter, Distributed Arithmetic, Distributed Parallel filter
Web based Data Acquisition and Control System for Thermal Power Plants
-Soniya Sunny,Kuruvilla John
Wireless sensor network technology is emerging as an important field in process monitoring and controlling applications. In thermal power plants, various environmental conditions have to be continuously monitored. This paper presents a web-based data acquisition and control system for thermal power plants. The system is implemented using Raspberry Pi and ZigBee protocol. Different sensor nodes are placed at different locations in the power plant. A coordinator node is designed with Raspberry Pi as the main controller. All sensor nodes are interconnected using ZigBee communication protocol. Raspberry Pi communicates with all sensor nodes in the wireless sensor network and collects the values sensed by these sensor nodes. It will then upload all information to the internet so that the user can monitor data from distant location through web browser. A threshold value is set at sensor nodes, and if the sensed value crosses the threshold limit, a buzzer will beep in order to provide control signal.
Accuracy of Telugu Language Speech Recognition corresponding to Size of the Speech Corpus Database
In this paper, efforts were put in finding development of Indian language speech databases in general and Telugu in particular for building large vocabulary speech recognition systems. The speech to text database for the Speech and Hearing Disabled needs a higher order of accuracy and wide database and a high word recognition rate with lowest error. The design and methodology of collection of various speech databases is discussed.
One of the major challenges in the field of Automatic Speech Recognition (ASR) is Modeling of rich transcription, modeling. The speech database should be rich in many dimensions, such as in text, environments, transducer type, number of recording sessions, recording system, the transmission channel, the country of origin, and the mother language. Research in any Language processing and very useful in many speech processing tasks, such as speaker recognition, speech recognition, and accent identification.
It was found that databases for European Language are widely and abundantly available (2) but a little database is available for Indian Languages. The accuracy of the speech recognition depends upon the size and amount of database in that language.
Keywords : Database, Large Vocabulary, Automatic Speech recognition, Accuracy, Indian Languages.
Classification and Model Evaluation Using Hyperspectral Data of Vegetative Landscape
-V Merin Abraham,Jacob Thomas
Species classification is an important task when it comes to the study of specific areas without disrupting the ecosystem. In this paper we chose Indian Pines as the test site to classify it into 16 classes of tree species and compare them with ground truth to obtain the accuracy, using various algorithms with machine learning process. The algorithms used are LDA and SVM. Spectral features of trees are obtained from hyperspectral data. Results show improvement in classification performance. We obtain an accuracy of 82 percent for LDA and 84 percent for SVM. We also try to implement spectral unmixing for the same set of data. Usage of spectral unmixing leads to endmember extraction method thus identifying the constituent components of a pixel which can be of further used by scientist and researchers. Our aim is to indicate which algorithm works best for test site.
Keywords-Species classification, machine learning, SVM, LDA, hyperspectral data, ground truth
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