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.

A Review: Multilevel Hybrid Ultra-Boost Converter Topologies for PV Solar Applications

Abstract: Multilevel hybrid transformer-less ultra-boost converters are playing a significant role in high power solar PV applications. Performance of multilevel hybrid ultra-boost converter is superior than the traditional DC to DC boost converter. Multilevel ultra-boost converter (MUBC) with the switched coupled inductors based on pulse width modulation (PWM) technique having high efficiency. It is basically DC to DC switched capacitors ultra-boost converters combinedly provide the desired balanced output voltage( $V_{out}$ ) using the one driven-switch(S), one switched-inductor(L) with [2(n)-1] diodes(D 1 and D 2 ) and [2(n)-1] capacitors(C) for an (n)x MUBC. It is suggested to be used as a DC-link in the PV solar application with the multilevel inverters where controlled output voltage levels are mandatory with the unidirectional and the self-balancing current flow; each device stops one voltage level to achieve high voltages ultra-boost converters with low voltage device. In this paper the comprehensive analysis of multilevel hybrid transformer less ultra-boost converter topology has been done. This topology provides large duty ratio (D) without extreme duty cycle, continuous input current, high switching frequency, lower harmonics, higher efficiency, large output voltage and lower electro-magnetic interference, compact size.

Dynamic Spot Price Forecasting Using Stacked LSTM Networks

Abstract: Cloud computing has gained more attention and emerged as a significant model for provisioning resources to the business industries. Maximizing profit and revenue from unused resources are the most trending goals of any cloud service provider. Amazon web services offer spot instances at very substantial down prices. The instances are offered through a bidding mechanism. One of the challenging tasks is to predict the spot price because spot users always want to make cost-effective decisions. Amazon provides the past 90 days of pricing history to assist its users in making bidding decisions. Accurate prediction reduces the risk of overbidding and out-of bid failure situations. In this paper, a 2-layer stacked LSTM model is used as a learning model for prediction purpose. We explore here the use of stacking the LSTM for time series prediction. The model is implemented using Keras and tested using the Amazon spot pricing dataset. Our results show that our stacked LSTM model provides better accuracy for next day spot price prediction.

Impact of Yoga on Subjective well being and Stress: a Pre and Post Analysis

Abstract: Living in the present world is akin to living in a world of chaos, miseries, confusion and rush hours. Everybody is racing with time; an average man is constantly facing emotional, physical and psychological upheavals, which in turn takes a heavy toll on individual's well-being, as mankind has always tried to attain peace and happiness along with the ongoing process of development. The urgency of getting an ideal method of attaining mental peace has become great in view of the tremendous increase in the stres s and strain of life especially in urban areas. Everyone tries to adapt oneself in the situation. One of the ways to reduce stress is practice of yoga exercises.Yoga exercises help a person to maintain physical and mental fitness as they are conscious about their health and well-being. Breathing exercises Kapal Bhati and Brahmri have been reported to be helpful in fighting illnesses e.g. hypertension, cardiovascular disease, anxiety, depression etc. and also in reducing distress (Prasad et al., 2005 ; Mamtani & Mamtani, 2005).YogaYoga originated in ancient India and is one of the longest surviving philosophical systems in the world. Patanjali in 200 BC developed system of yoga defining yoga as a control of the fluctuation of mind stuff (chitta) (Udupa et al., 1977).Yoga comes from the Sanskrit word 'Yuj' meaning yoke or union. It is a spiritual practice that uses the breath and mind to energize and balance the whole person. Shekhawat and Mishra (2008) defined Yoga as science of mental control. It not only helps individual to control one's mental state, but also to improve one's personality and behavior.Types of YogaAs the different connections between the mind and body were explored, various branches of yoga developed. Some of these are as follows:* Astanga or Power Yoga: Modem day variations of yoga developed for peop le who prefer a physically demanding workout.* Bhakti Yoga: The goal of this form of yoga is to take all of the love in ones heart and direct it to God. By worshipping God, the person who practices all life is encouraged to be sacrificial and to treat others generously.* Bikram Yoga: A series of 26 asanas (postures) practiced in a room that is 105 degrees in order to warm and stretch the muscles, ligaments and tendons and to detoxify the body through sweating.* Hatha Yoga: Emphasis is placed on the physical postures or exercise known as asanas, with the goal of balancing the opposites in one's life.* Jnana Yoga: Emphasize on deep contemplation. Practitioner seeks Jnana or wisdom through meditation. The goal of this form of yoga is to be one with God.* Karma Yoga: Based on the philosophy that "yesterdays actions determine today's circumstances." Practitioner of Karma Yoga believes that by making today's action positive, individual hope they can improve tomorrow's circumstances for both themselves as well as for others.* Raja Yoga: Known in Indian as "the royal (raj) road to reintegration." The goal of this type of yoga is to blend the four layers of self: The body, the individual consciousness, the individual sub consciousness, and the universal and infinite consciousness, Raja Yoga, being most concerned with the mind and spirit, places its emphasis on meditation.Studies done by Gupta et al. (2006) suggest that short duration yoga, meditation and lifestyle intervention program positively modifies the individual's subjective well-being and anxiety levels. Psychological stress is an important risk factor for many diseases and thus practice of yoga and preksha meditation may be valuable in terms of basic prevention. Khan (2007) reported that the physical activity and/or yoga exercise is an important indicator of well-being. It is outlined that regular body-work is preventive and/or corrective measure to help and keep our body-mind and spirit healthy. It fosters physical, psychological and spiritual health and well-being. …

Elitism based Shuffled Frog Leaping algorithm

Abstract: Shuffled Frog-Leaping Algorithm (SFLA) is a memetic meta-heuristic approach for solving complex optimization problems. Like other evolutionary algorithms, it may also suffer from the problem of slow convergence. To elevate the convergence and to improve the intensification and diversification capabilities of SFLA, elitism is embedded by calculating the mean of local best and second local best solutions while updating the position of worst solution in local best updating phase. Similarly, mean of global best and second global best solutions is used to improve the position of worst solution while updating the position of worst solution in global best updating phase. The proposed algorithm is named as Elitism based Shuffled Frog-Leaping Algorithm (ESFLA). The modified algorithm ESFLA is analysed over 15 distinct benchmark test problems and compared with conventional SFLA, its recent variant, namely Binomial Crossover Embedded Shuffled Frog-Leaping Algorithm (BC-SFLA) and two other nature inspired algorithms, namely Gravitational Search Algorithm (GSA) and Biogeography-Based Optimization Algorithm (BBO). The results manifest that ESFLA is an antagonist variant of SFLA.

Comparative Study and Analysis of Different Perovskite Solar Cells with Inverted Architecture

Abstract: An intensive numerical estimation and optimization for perovskite solar cell with inverted design has been performed by employing a simulation tool. Multiple elements affecting the execution of photovoltaic devices have been precisely interpreted, particularly physical parameters of buffer and perovskite absorber layer. By parameter optimization, we have obtained a simulated power conversion efficiency (PCE) of 12.90% with open-circuit voltage (Voc) 1.14 V, short circuit current density (Jsc) 29.27 mA/cm2, and a fill factor (FF) 84.75%. The function of defect density has also been studied for exploring the performance of cell module and comparative analysis with alternative absorber material (CH3NH3SnI3 and FASnI3) has also been discussed.