JCT - Volume 5 Issue 7 (July 2016)


Sr/No/ Title Pdf
1 Denoising of Images by using Wavelet Transformation Bowl
Divya Saraf, Divyanshu Rao

Abstract- In the modern age, Visual information can be transmitted over communication channel in the type of digital images is decent method, but after transmission corrupted image is found with noise. Before it can be used in applications, we need to remove noise and reconstruct the image. Image denoising is the method to manipulate the image data and generate a high quality visual image. In this thesis, we described image denoising using wavelet transform and various existing algorithms using different technique. The process of removing noise from an image is called as noise reduction or denoising. So, we can introduce some significant wavelet transforms for image denoising such as VisuShrink, Bayes Shrink and Bilateral thresholding and Proposed Spatial Adaptive thresholding techniques. The proposed method has been applied on original gray scale image such as Lena at distinct noise levels (standard deviation). Performance of noise reduction using proposed method is compared with several existing methods such as VisuShrink, BayesShrink and Bilateral thresholding. It is measure on the basis of error metric such as Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and in terms of visible quality of images. This technique is combination of thresholding technique and wavelet dependencies, it is also less complex in comparison other techniques. The advantages of Spatial Adaptive thresholding technique is that it is better performs compared with other thresholding methods having higher PSNR and lower MSE values for different noise levels and gives better visual image quality. By using proposed technique, the PSNR and MSE in the image denoising are and as compared to the other techniques.

2 Implementation of Microstrip Patch Antennas with UWB Consideration in CST Microwave Environment
Preeti Chourasia, Divyanshu Rao

Abstract- The goal of this research is to study how the performance of the antenna depends on various parameters of microstrip patch antenna. This is a simulation based study. CST Microwave studio software, one commercial 3-D full-wave electromagnetic simulation software tool is used for the design and simulation of the antenna. Then, the antenna parameters are varied to study the effect of variation of the antenna parameters on the antenna performance. The common shapes of the microstrip patch are rectangular, square, circular, triangular, etc. All these have been theoretically studied and there are well established design formulae for each of them. Antenna design is an innovative task where new types of antenna are studied. So, here a new shape of microstrip patch antenna is designed which will cover the entire Ultra Wide Band. One of the major problem for UWB systems are electromagnetic interference (EMI) from existing frequency bands, because there are many other wireless narrowband application that are allocated for different frequencies band in the UWB band. Therefore it is necessary for the designer to design the UWB antenna they can reflect the interference from the other existing bands. To overcome this interference problem UWB antennas should have banded notches therefore they can reject the existing frequency bands within the ultra-wide band. Here three designs with different band notches for UWB applications are proposed.

3 Optimal design and analysis of composite drive shaft using Catia v5 and Ansys 14.5

Abstract- Almost all automobiles (at least those which correspond to design with rear wheel drive and front engine installation) have transmission shafts. The weight reduction of the drive shaft can have a certain role in the general weight reduction of the vehicle and is a highly desirable goal. Substituting composite structures for conventional metallic structures has many advantages because of higher specific stiffness and strength of composite materials. The advanced composite materials such as graphite, carbon, Kevlar and Glass with suitable resins are widely used because of their high specific strength and high specific modulus. Advanced composite materials seem ideally suited for long, power driver shaft applications. The automotive industry is exploiting composite material technology for structural components construction in order to obtain the reduction of the weight without decrease in vehicle quality and reliability. It is known that energy conservation is one of the most important objectives in vehicle design and reduction of weight is one of the most effective measures to obtain this result. Actually, there is almost a direct proportionality between the weight of a vehicle and its fuel consumption, particularly in city driving. This project analysis done on dive shaft with different composite materials and concludes that the use of composite materials for drive shaft would induce less amount of stress, and can withstand higher frequencies, which additionally reduces the weight of the vehicle. CATIA V5 is the modeling package used to model the drive shaft arrangement and ANSYS 14.5 is the analysis package used to carry out analysis.

4 Adaptive Threshold Based Dynamic Resource Provisioning in Cloud Environment
Pragati Patel, Alekh Dwivedi, Dr. Vineet Richariya

Abstract- Cloud computing becomes a widely adopted platform, can be viewed as a single repository contains services, information processing equipment and Storage devices in a very large scale. Cloud services can be accessed anytime from anywhere over the internet. On demand service delivery makes cloud computing most popular, motivating the researchers to focus on it. Dynamic resource management and adaptability with the varying application workload are the major challenges associated with the on- demand allocation of resources in cloud environment. Existing methods for the on-demand resource allocation emphasizes on migration of VM and allocation of physical resource to VMs. Such algorithms results suspension of application due to mandatory shutdown of associated VM and requires an efficient procedure for the allocation of resource under cloud computing environment. Proposed adaptive threshold based dynamic resource allocation policy monitor and predict minimal resource requirement and adjust virtualized resources depending on application’s real resource requirement.

5 Big Data Analysis on Weather Prediction Based on Using IOT and Collected Sensor Data
Dr. Shubangi D C, Soumya S Nigudgi

Abstract- The assets of the sensor generated data day by day, by providing high volume of massive real time data. Analysing, aggregating, storing, and collecting the sensor data is a great challenge. Metrological department use different types of sensors to find the temperature, humidity, moisture etc to get there values. Keeping these above points in mind we design a system architecture that welcomes the real time data as well as the offline data processing. The proposed architecture has three modules Data acquisition unit (DAU), Data Processing unit (DPU), Data Analysis and Decision Unit (DADU). This architecture is also capable for storing the incoming data to perform the offline analysis of the sensor based temperature data. Hadoop provides an open source framework suitable for processing large data. Map Reduce helps to process the large volume data in parallel. The main aim of the project is to build analytical engine for high velocity, huge volume temperature data from sensor using Hadoop Map Reduce and provide the predictions on the obtained results for the upcoming year’s weather forecast.

6 Mobile Environment for Industrial Automation
M.Murali krishna, CH.Durga Bhavani

Abstract- From the last two decades many automated machines are introduced which will not only reduce manpower, also it produces high quantity. Even though automation takes place, the user presence becomes mandatory to monitor the environment in control room. To evade this situation we have designed a project with a fine combination of android and embedded system. The main objective of industrial automation is security and is to reduce the user efforts to save money, energy and time. It is also used to help handicapped and old aged people who will enable them to control machine parameters automatically and alert them in critical situations. This paper put forward the design of industrial automation and security system using cortex m3 board and General Packet Radio Service (GPRS) module with android mobile. Here everything will be done by automatic. Also user can monitor machine parameters anywhere at any time in his mobile through GPRS. If he/she notices any changes he can make a call to control machine parameters manually.

7 A Survey - RF Energy Harvesting
Dr.K.Umapathy , R.Krishnamoorthy

Abstract- In recent years, there has been a growing interest in the deployment of wireless sensor networks within many sectors. These network systems, consisting of spatially distributed sensor nodes are used extensively in various applications such as environmental monitoring, animal tracking and control, agriculture, habitat monitoring, inventory tracking, and healthcare system. one emerging Wireless Sensor Node application is in agriculture sector, where the sensor nodes are deployed in outdoor fields to monitor soil conditions, such as moisture, mineral content, and temperature. Data collected from these sensors could be used to manage irrigation and fertilization, to predict crop yield, as well as to improve crop quality. Energy supply has been a limiting factor to the lifetime of agricultural wireless sensors. These sensors are typically powered by onboard batteries which have fixed energy rating and limited lifespan. Hence, they need to be replaced in due time. Moreover, the cost is prohibitive when replacing the exhausted batteries since the sensor devices need to be unearthed. Apart from that, disposal of used batteries poses another major issue. Batteries containing heavy metals such as mercury, lead, or cadmium could be hazardous to human and environment if they are improperly disposed in the landfills. A possible long-term solution to overcoming these problems is by using energy harvesting in which ambient energy can be extracted and converted into usable electrical energy to power the sensors. Based on the given environmental conditions, Radio Frequency (RF) energy harvesting, which relates the concept of wireless energy transmission, is preferred. RF energy harvesting can not only be used to replenish the power required to operate the soil sensors, but it can also provide a more controllable and predictable power supply compared to other possible energy harvesting methods. RF energy harvesting is a unique technology that can enable controllable, wireless power over distance, and scale to provide power to thousands of wireless sensors. Devices built with this wireless power technology can be sealed, embedded within structures, or made mobile, and battery replacement can be eliminated.

8 A Study on Investor’s Perception towards Mutual Funds Investment with Special Reference to Salem City

Abstract- “Small drops of water make a big ocean”, on this concept mutual fund works, small investors can invest in mutual fund and earned fair rate of return with less risk compare to shares. The main focus of the study is to understand the investor’s perception regarding investment in mutual funds and to analyze the investor’s preference towards mutual funds investment. Descriptive research design is used for this study and convenience sampling method is used for collecting the primary data. For the purpose of analysis and interpretation the researcher used the statistical tools through simple percentage analysis.

9 A Remote Test Platform for Mobile Application City
Dr. M.J.C.Prasad, Chakradhar Chegu

Abstract- In this paper, a system is proposed to provide a remote test platform for mobile application. The launch of devices and up gradation of the operating system, sustaining and enhancing mobile applications have become timeconsuming and expensive for enterprises. It is difficult to estimate a mobile application to work as expected on so many mobile phones in the market. Due to the limited budget, most of the development teams may not have enough testing phones. But under market pressure, the applications have to be launched on time. To overcome this, a unique cloud-based remote testing platform introduced to facilitate testing on any mobile application on multiple platforms and devices. This project provides platform for mobile 0S including IOS, Windows Phone and Android. This platform helps clients streamline their testing processes, reduce capital expenditure and ensure compatibility with various device types and platforms. The operation process contains automated test scripts that will be executed on different mobile phones to improve testing efficiency. By using this proposed system, we can provide a remote test platform which reduces the cost of buying many mobile phones and improve mobile application testing efficiency, quality and reliability.