http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Alternate Energy : Gravity Powered Rail Transportation Systems
Rajaram Bojji 한국철도학회 2009 International Journal of Railway Vol.2 No.1
A simple pendulum shows how efficient gravity is in recovering energy. Any transportation is a linearly oscillating system; every load gains kinetic energy, but loses the same to come to a stop. The Gravity Power Towers comprise of a set of vertically moving heavy masses coupled, through microprocessor controlled continuously variable gear and cable system, to a horizontally rolling unit on wheels either on rail or road. The heavy masses move vertically up against gravity gaining potential energy while stopping a moving mass; move down under gravity force, giving out energy. The Tower thus accelerates or sustains the speed a rolling unit, and while decelerating, recover the kinetic energy. Speeds of 360 kmph can be attained. Recovery of energy varies from 98.5-70%; the longer the distance between stops, the lesser is recovery. The economical, omnipresent & eternal Gravity Power grants energy independence to many a nation. Global warming reduces.
Rajaram A.,Sathiyaraj K. 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
In recent days, the electricity demand is increased day by day. For reducing this fact, various sustainable resources are used. The sustainable sources used with grid-connected power for supplying external power to the user. Green house harvesting system makes the effi cient harvesting and those are far from locality and off shore aqua farms. Conventional method uses wireless sensor network and RFIDs. This increased the design complexity and also increases the power loss. The existing optimization method used in this application is that Stochastic Tunnelling Particle Swarm Optimization Technique (ST-PSO). Novelty of this work implemented to enhance the performance by quantum tunnelling PSO on energy harvesting system and the hybrid resource always supply the power to the grid. Here the proposed research works on grid connected harvesting model extracts the energy from solar array and electromagnetic waves with RECTENNA. Here the rectifying antenna used to convert electromagnetic waves into the electrical energy and the PV generates power by changing irradiance and temperature. Here the optimization technique uses the Quantum Tunnelling Particle swarm optimization (QT-PSO) algorithm, which is eff ectively performed in PV based applications. This quantum tunnelling method is to converter the electromagnetic wave into DC power source, which is given to the grid-connected power generation circuits and it optimizes the result of energy harvesting system. The grid connected power system is used to supply the power without loss. Therefore, the proposed energy harvesting system is better than conventional systems by reducing power loss. The proposed research work is implemented in MATLAB and the model is done by SIMULINK.
Controlled repeated chemical growth of ZnO films for dye-sensitized solar cells
Rajaram S. Mane,이원주,C.D. Lokhande,조병원,한성환 한국물리학회 2008 Current Applied Physics Vol.8 No.5
The controlled growth of ZnO nanorods perpendicular to substrate surface i.e. c-axis by a repeated chemical deposition method for efficient dye-sensitized solar cell application is described. X-ray diffraction study shows the wurtzite structure of ZnO with high crystallinity. Intensity and newly evolved peaks of the ZnO are found to be thickness dependent. Dye loving flower-like globular architecture of ZnO is observed after 8 lm thickness. Dye-sensitized solar cell studies show the solar-to-electrical conversion efficiency of 2.21% for 11 lm ZnO electrode when illuminated with 80 mW/cm2.
( Rajaram Panda ) 한국국방연구원 2014 The Korean Journal of Defense Analysis Vol.26 No.4
In view of the changing security environment in Northeast Asia, stemming from China’s assertiveness in regional issues and North Korea’s nuclear weapons program, the threat perception in Japan has considerably heightened. This has triggered a debate domestically in Japan about whether it is an appropriate time to review its nuclear option as a means of deterrence. Such thinking presupposes that confidence in the U.S. extended deterrence has started eroding or has weakened. There are various political strands to this issue and there is no consensus yet reached to make the change officially possible. If Japan does indeed initiate a change in policy seriously, it would make the United States uncomfortable. But given the strong anti-nuclear sentiment in Japan, it would be difficult for any government of any party to sell the idea to the people. The domino effect of such a policy change would be seen almost immediately in South Korea and Taiwan, making Northeast Asia the world’s most nuclearized region. This would also mean the abrogation of the security alliance relationship with the United States. Given Japan’s capability in terms of capital, technology and possession of sufficient spent fuel needed for making the nuclear bomb it would be possible for Japan to make a nuclear bomb, but it would be a politically dangerous move and therefore inadvisable. Though it would remain theoretically possible, the debate would remain as an academic exercise for quite some time. This essay makes an attempt to study this complex issue as objectively as possible.
Non-Linear Error Identifier Algorithm for Configuring Mobile Sensor Robot
Rajaram.P,Prakasam.P 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.3
WSN acts as an effective tool for tracking the large scale environments. In such environment, the battery life of the sensor networks is limited due to collection of the data, usage of sensing, computation and communication. To resolve this, a mobile robot is presented to identify the data present in the partitioned sensor networks and passed onto the sink. In novel data collection algorithm, the performance of the data collecting operation is reduced because mobile robot can be used only within the limited range. To enhance the data collection in a changing environment, Non Linear Error Identifier (NLEI) algorithm has been developed and presented in this paper to configure the robot by means of error models which are non-linear. Experimental evaluation has been conducted to estimate the performance of the proposed NLEI and it has been observed that the proposed NLEI algorithm increases the error correction rate upto 42% and efficiency upto 60%.