AN/PVS-14

country’s data set. In the case of a mixed alternative, the percentage of each country is added instead. China – (16+17+18+19)/4 = 17.5% China/India – ((16+17)*0.5) + ((17+16)*0.5) + ((18+15)*0.5) + ((19+14)*0.5) (16.5 + 16.5 + 16.5 + 16.5)/4 = 16.5% China/South Korea – ((16+14)*0.5) + ((17+15)*0.5) + ((18+16)*0.5) + ((19+17)*0.5) (15 + 16 + 17 + 18)/4 = 16.5% b. Calculate the standard deviation of returns over the 4-year period for each of the three alternatives. Answer:

Shen [14] proposed the forward-derived configuration to simplify power-stage configuration. But, it cannot trap the energy in the leakage inductor and is incapable of applying to high output voltage applications. Chih-Lung [15] proposed a multi-input converter (MIC), however the conversion rang is low. In this study, a multi-input High Step-up Boost converter (MIHSBC) is proposed, which can not only deal with PV power and wind turbine energy simultaneously/individually

Keywords- Photovoltaic (PV), Maximum Power Point Tracking (MPPT), Parallel power processing (PPP),Power Plane Analysis(PPA), Direct energy Transfer(DET). INTRODUCTION In recent years, Energy comes from natural resources such as sunlight, wind, rain, tides and geothermal

medium. Five colonies from each lesion were randomly selected and retained. The associated bacterial colonies were purified and identified using the description of Parry et al. (1983) and Holt and Krieg (1984). Also, the identification of X. campestris pv. vesicatoria was confirmed by testing for Xanthomonad determinative characteristics (Table, 3) including (using of standard bacteriological methods (Schaad et al.,2001). Tests were conducted twice on a random sample of the isolates of the pathogen.

past few years. Photovoltaics has one major problem and which is that with the variation of the operating conditions of the array, the voltage at which maximum power can be obtained from it also changes. In the thesis, a PV model is used to simulate actual PV arrays behavior, and then a Maximum Power Point tracking method and wind energy system using Feed Forward Neural networks is proposed in order to control the power. Further more,the proposed feed forward neural network technique

Solar street lighting system is designed for outdoor applications unpowered remote rural areas. The system is an ideal village campus and street applications light. The system is provided with battery storage backup sufficient to operate 10-11 hours of light a day. The system has automatic on / off for evening run down and overcharge deep discharge prevention timer switch off with LED indicator Market potential Demand for solar light system increasing day because it applies to that is natural sunlight

resources. These algorithms are Gravitational Search Algorithm (GSA), Bat Algorithm (BA), Imperialist Competitive Algorithm (ICA) and Flower Pollination Algorithm (FPA). Placing renewable energy resources such as wind turbine (WT) and photovoltaic panels (PV) in certain locations in the power network with special sizes might share in reducing the power loss , and consequently, improving the voltage profile. In the present research, the heuristic algorithms are utilized to find the optimal

FINANCE 401 RYERSON UNIVERSITY Final Exam – April 24, 2008 - SOLUTION Name:__________________________________ Student #:_______________________________ Professor:_______________________________ - Time allowed: 3 hours - Aids allowed: None except for an 8’1/2” by 11’ double sided cheat sheet and a calculator - The exam is out of 60 marks. - There are 40 multiple choice questions. Each multiple choice question is worth 1 mark. - The remaining non-multiple choice questions are

Mini Mini Case, page 145: 1. How does Ben´s age affect his decision to get an MBA ? Ben’s age has a big impact on his decision to get an MBA. He already worked about 5 years at Dewey and Leweys and he earns the complete salary as an employee. Now it is up to him whether to invest in a higher degree in order to earn more money in the future or to keep his current job and invest his money in other things. It can be a hard decision for a person who already worked 5 years because in these one

Voltage instability leads to a considerable change in the difference between the consecutive buses voltage angles. A recurrent neural network trained with Particle Swarm Optimization (PSO) is proposed in this paper. The proposed method is examined on 14-bus and 30-bus IEEE standard systems. These systems are simulated using MATLAB/Power System Toolbox program. The performance of the proposed method is compared with Back-propagation (BP) training algorithm. Keywords— Backpropagation algorithm, Particle