New M.Tech. Thesis Submitted from electronic

PERFORMANCE EVALUATION AND ANALYSIS OF CONVOLUTION CODING ON SDR PLATFORM by Gaganpreet Kaur 

Abstract

All the devices and computers work more efficiently than pervious time due to rapid increase of technologies. In yesteryears practical research was very costly in terms of cost and time because that time prototype-circuit boards were used for testing any possible models. In present scenario, computers are powerful enough that it can do digital signal processing tasks which were done by dedicated devices. Moreover, people are becoming techno-savvy and affordable personal computers which are used at homes are also able to do necessary computation in same manner like dedicate devices are executing. Software Defined Radio (SDR) is this correlative kind of device. Translation of the signal processing into software that is run by a regular computer releases a huge number of possibilities at an affordable price. Therefore, easily examine and modify every value of the wireless communication system with the help of software defined radio. The demand of wireless communication systems is increasing day by day. With more and more users to accommodate, the transmission of data over a crowded channel results in loss of data and errors. Therefore, there is need for the platform that is enough flexible to accommodate large number of users with low probability of error. Channel coding is the most important techniques that helps to represent the transmission of source code in such a way that error probability minimizes over the crowded noisy channel by systematic addition of redundant bits. It helps to improve the error rate performance of the communication system, results in better reception. With the increasing demand for efficient standards, Software Defined Radio provides flexibility with low cost solutions for today’s wireless communication needs. In SDR, all the signal processing is done at the software level. In this work, Forward Error Correction codes i.e., convolution coding has been implemented on SDR because it has ability to improve the BER and SER performance of conventional modulation techniques such as PSK and QAM. Audio encoders, which are used for speech compression in radios and other sound systems, can also be enhanced using convolution coding. This will lead to development of new standards that can revolutionize the field of wireless communication.

New M.Tech. Thesis Submitted from computer

DESIGN AND DEVELOPMENT OF TOOL FOR ASSESSING OSM COMPLETENESS by Sonali Arora 

Abstract

OpenStreetMap (OSM) is a cumulative effort to create a free presentable map of the world that can be accessed by anyone. OSM is one the most prevalent instance of Volunteered Geographic Information (VGI). OSM has become one of the great alternative source for Geodata in the recent years. Since OSM is generating large amount of spatial data that has been contributed by users with the different level of mapping experiences and different backgrounds, hence the quality of OSM can vary strongly. For this different studies have been done in which different aspects has been investigated. In most of the studies, ground truth reference datasets have been used for comparison of the data which is called the extrinsic analysis. But extrinsic analysis is not always possible because of lack of availability of ground truth reference datasets. Hence, intrinsic analysis can serve as prominent basis for making the approximate statements on the quality of OSM. The investigation analyses the existing intrinsic frameworks and its limitations and then proposed the new six quality parameters for assessing the completeness of the OSM data effectively. A framework has been developed on the basis of proposed parameters. The results obtained from execution helps in doing the statistical analysis and interpretation by providing the visualizations in the form of barcharts, graphs, tables and maps to assess the quality of data without the help of any ground truth reference data sets. This enables arbitrarily OSM completeness assessment for any part of the world.

New M.Tech. Thesis Submitted from electronic

CIPHER BASED ACKNOWLEDGEMENT SCHEME FOR MANET by Neha 

Abstract

MANET is a collection of independent networks. In mobile ad-hoc network, mobile devices are connected through various wireless links. The MANET works on a constrained bandwidth. The network topologies are rapidly changing and may vary from time to time. Each and every device must act as a router and route their packet for transferring any information among each other. Due to its topology, resource constraints, no centralized infrastructure and less security, it is endangered to different attacks and black hole attack is one of them. In this attack, the malicious node claim itself as having the smallest path to the destination and falsely replies to the route requests, and drops all receiving packets. In the past various models and approaches, had been proposed for performance enhancement and detection of malicious nodes in MANET. Various modifications has been done to routing protocols and best path selection, IDS based system has been developed but all of above modification does not provide better data wholeness. To overcome this problem in MANET, in the proposed work malicious node detection and encryption based approach has been used. In the proposed work, AES based encryption approach has been used with AODV routing protocol so that data integrity and confidentiality can be achieved. In this process data messages has been first converted to hexadecimal and then round sub keys were used. After this process shifting of rows and mixing of column has been done so that data can be encrypted and convert to cipher text. Cipher data can be decrypted using on key at decryption process that is reverse of encryption strategy using AES. In the proposed work reverse tracking mechanism has been used for detection of attacker nodes, that degrades performance of the network. In the process of reverse tracking mechanism all the nodes that are one hop neighbor from the source node has been identified by transmitting a message and the reply message has been verified if any message is received from other than single hop communication node then the detection mechanism becomes active for detection of black hole and grey hole attack over the network. Mobility speed is the major concern in MANET that affect the performance of the network. High mobility degrades performance of the network due to lack of route establishment. In the simulation various performance evaluation parameters have been analyzed, which were used for validation of proposed work. These parameters (packet delivery ratio, end to end delay, throughput and network overhead) have been evaluated with respect to time as well as mobility. On the basis of obtained results, it was concluded that proposed approach provide better performance than EAACK approach.

New M.Tech. Thesis Submitted from computer

COMPUTER VISION BASED VEGETABLE GRADING AND SORTING SYSTEM by Sukhpreet Kaur 

Abstract

Since ages, agricultural sector plays an important role in the economic development of a country. In recent years, industries have started using automated systems instead of manual techniques for quality evaluation. In agriculture field grading is very necessary to increase the productivity of the vegetable products. Everyday huge amount of vegetables are exported to other places and earn a good profit. So quality evaluation is important in terms of improving the quality of vegetables and gaining profit. Traditionally, the vegetable grading and classification was done through manual procedures which were error prone and costly. Computer vision based systems provides us accurate and reliable results that are not possible human graders/experts. This research work presents a vegetable grading and sorting system based on computer vision and image processing. For this research work, a tomato has been used as a sample vegetable. A total of fifty three images were acquired using own camera setup. Afterwards, segmentation using Otsu’s method was performed so as to separate the vegetable from the background. The segmented images, thus obtained, were used to extract color and shape features. There after grading and sorting was performed using back propagation neural network. Twenty eight images were used for training the network and twenty five images for testing purposes. The proposed system has shown 92% accuracy rate. Also the system was compared with existing tomato maturity based grading system. The present system outperformed the existing system and is proposed for industry use.

New M.Tech. Thesis Submitted from civil

SOIL STABILIZATION USING RICE HUSK ASH AND POLYPROPYLENE AS WASTE MATERIAL by Vinod Kumar Mishra 

Abstract

Soil is very significant in civil engineering construction. Soil having poor engineering properties may create many problems. For construction of civil engineering structure the soil should have good engineering characteristics for its adequate strength. To make the soil suitable for the desired level of construction, it is necessary to augment the engineering characteristics of soil. There are various methods of improving the engineering properties of soil. The soil stabilization technique is one of the most effective tools used now days for enhancing the engineering properties of soil. But the soil stabilization is becoming costly day by day due to the rise in cost of stabilizing agent like cement, lime etc.On the other hand large quantity of waste material produced from the different industries like fly-ash, rice husk ash, plastic waste, paper mill slag etc. create negative impact on the environment causing environmental pollution and hence safe disposal of these waste material is required .Utilized these waste material as stabilizing agent for improving engineering properties of poor soil is best solution and also using these waste material as a stabilizing agent not only solve the dumping issue but as well as minimize the expenditure of stabilization. In this research work, an extensive laboratory work have been done to explore the use of local available RHA as agricultural waste and waste fibres of the polypropylene for the improvement of the various properties of the Clayey (CI) type of soil obtained from proposed site of D.A.V. public school (junior wing) behind cloth market Ambala City, Haryana (India).In present research work to explore the effect of waste fiber of polypropylene in different length and percentage as reinforcement mixed with optimum amount of RHA stabilized soil. The effect on engineering characteristics of clayey soil such as Maximum Dry Density, Optimum Moisture Content, Direct Shear Stress, Unconfined Compressive strength was investigated. The investigation results show that with the addition of rice husk ash and fibre contents the Maximum Dry Density decreases and the optimum water content increases, the most appropriate percentage of RHA is found to be 9%, the Shear parameter i.e. Cohesion (c) of the 9% RHA stabilized soil reinforced with waste fibres of polypropylene with 20 mm length and 0.30% weight of polypropylene by weight of dry soil sample, is found to be increased by 28.05% and angle of Shearing Resistance (Φ) found to be increased by 64.24% and the Unconfined Compressive Strength of the 9% RHA stabilized reinforced soil found to be increased by 59.34% with 20mm length and 0.30% by weight of dry soil sample. The optimum percentage of clayey soil: Rice Husk Ash: Polypropylene for improvement of clayey soil found to be 90.7: 9: .3 of 20mm length