Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

An Elderly Fall Detection System using Depth Images

Abstract: In this proposed conceptual technique, we have collected the Microsoft Kinect depth images of elderly fall event. After collecting the necessary depth images the background subtraction algorithm has been used to subtract the background and retain the subject. Segmentation and feature selection process have been applied on various daily activity to train the fall detection model. The model has been train using decision tree. To ensure the fall confidence, ground truthing technique has been used.

Mathematical Modeling and Simulation of DC-DC Converters Using State-Space Approach

Abstract: The power electronics converters are used to get the desired output power at the desired voltage, current, and power level for numerous applications. The DC-DC Converters (DDC’s) are worn to alter the DC voltage level of power supply for desired applications. The range of output power can be between milliwatts to megawatts, high voltage AC (HVAC), high voltage DC (HVDC), which are being used for various applications like mobile chargers, battery chargers, and high-scale industrial applications. This paper presents the model realization of all these converters and the simulation is performed using MATLAB Simulink with the steady-state analysis (SSA) modeling. All three DDC’s [Boost, Buck and Buck-Boost Converter (BBC)] were realized with the SSA technique and also realized in MATLAB Simulink for analysis. These converters are modeled according to their circuit topology and detailed explanation was given for state-space matrices. The state-space results after analysis are compared with the circuitry model with less tolerance of each converter and simulation computation time has also improved in state-space modeling approach w.r.t. circuitry model.

Improved Segmentation Technique for Underwater Images Based on K-means and Local Adaptive Thresholding

Abstract: In many cases, images are influenced by radiance and environmental turbulences owing to temperature variation, specifically in the case of underwater images. Due to lack of stableness in underwater circumstances, object identification in underwater is not easy in any aspect. As we know, the process of segmenting the image is a quite essential in automated object recognition systems. Subsequently, there is a necessity of segmenting the images. By means of segmenting the image, we split the image in meaningful fragments in a way to detect the concerned regions to annotate the data. We also need to process the image to eradicate the radiance effect. In this paper, we propose the improved technique to eradicate the effect of radiance and identify the object with more precision and accuracy. According to the proposed improved technique, the two segmentation techniques, k-means segmentation and local adaptive thresholding method, are merged. K-means deals with object detection whereas local adaptive thresholding eradicates the radiance effect. Lastly, the performance of improved technique is evaluated using objective assessment parameter namely, entropy, PSNR, and mutual information.

Botnet: A new network terminology

Abstract: The continued growth and diversification of the Internet has been accompanied by an increasing prevalence of attacks and intrusions. It can be argued, however, that a significant change in motivation for malicious activity has taken place over the past several years: from vandalism and recognition in the hacker community, to attacks and intrusions for financial gain. This shift has been marked by a growing sophistication in the tools and methods used to conduct attacks, thereby escalating the network security arms race. The reactive methods for network security that are predominant today are ultimately insufficient and that more proactive methods are required. One such approach is to develop a foundational understanding of the mechanisms employed by malicious software (malware) which is often readily available in source form on the Internet. Here is a new network known as BOTNET. A botnet is a group of computers that have been compromised, and run a remote control bot application. The bot herder will send commands to the droves of compromised systems, which will gleefully obey.

Techno-Economic Analysis of Rooftop Solar PV System by Variation in PV Module Capacity

Abstract: The target set by India for installing solar photovoltaic power plants is 100 GW. Out of this, 40 GW is to be complimented by rooftop solar photovoltaic power plants. These targets are to be achieved by year 2022. But, till 31st May 2019, only 4.91% of the target set for rooftop solar photovoltaic is achieved. Despite the growth in renewable sector, achieving that target is still a challenge. This paper discusses the technical and economical analysis of a rooftop solar PV plant of 300 kW installed at Rajasthan Technical University, Kota, India. The study reveals the importance of simulating a solar PV power plant by using software before installation. HOMER software is used for the simulation of power plant. It is found that if high power rating modules are used instead of the presently installed modules, 61,608 kWh/year of additional energy can be generated. Levelized cost of electricity (LCOE) of the system (including energy imported from the grid supply) comes out to be ₹6.39/kWh, as renewable fraction is only 25.5% of the total load demand.