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Potato Late Blight is caused by Oomycete pathogen Phytophthora infestans, considered to be a community disease due to rapidity of spread. It causes huge economic losses estimated at US dollars 898 billion Worldwide. The motivation behind this the work is to reduce the economic loss caused due to late blight in potato. So far statistical approaches have been used for predicting the disease outbreak. It predicts late blight disease in potatoes with the help of weather parameters with a new approach. Extreme Learning Machine is used as an intelligent learning agent for generating the prediction model. Experiments are conducted on AICR potato database. Proposed approach was tested for several variations and could achieve accuracy of 91.5%.

Urban object detection places a vital role in urban planning and development. The edge detection algorithms are useful and efficient to perform the object detection. A new edge detection algorithm has been presented in this manuscript. The proposed edge detection algorithm used Chebyshev polynomial based fractional order differentiator. The convolution operation has been performed with fractional order differentiator. The Canny edge detection method has been applied on the convoluted image. The algorithm has been validated with the benchmark data set provided by International Society for Photogrammetry and Remote Sensing (ISPRS) set working group.

This paper focuses on battery charging/discharging through a converter tied to the DC link. PV and wind energy power system are used as sources. This work aims to develop a model that depends on the state of charge of the battery to decide its state of operation. The filter and converter design has been carried out and simulation results have been reported. The paper looks into the aspects of system integration and simulation results. Harmonics are an important aspect of power electronics and energy systems. Hence, FFT analysis results have been shown with an objective of reducing the fundamental harmonic components as much as possible. The simulation results with varying loads have been presented and load current and load voltage waveforms have been analyzed.

This paper presents design and simulation of PV (Photovoltaic)and wind hybrid Energy system (WECS) in isolated mode of operation. The output voltage from two sources are given to DC link by using to DC-DC converters in order to maintain constant DC link voltage. Single phase Inverter with unipolar voltage switching is used. The Total Harmonic Distortion (THD) of load voltage is analyzed. This work presents results based on realistic data as inputs obtained from the operation of a test workbench consisting PV-Wind hybrid system. The system includes a 3KW PV array and 3.2KW wind turbine; realistic data for January 2013 obtained from the Innovation Centre, MIT Manipal, is considered here, simulated daily data, and validated the simulation results for the physical system.

As a result of rising concern of global warming and the depletion of fossil fuel reserves, many are looking at sustainable energy solutions to preserve the earth for the future generations. Environmentally friendly solutions are becoming more prominent than ever as a result of concern regarding the state of our deteriorating planet. This paper presents one of the alternate ways for the power generation, which is clean and economical for the future generation. The two sources which are used for power generation are solar and wind. DC output of photovoltaic panel and rectified dc output of Wind energy conversion system(WECS) is fed to the boost converter which is operating in closed loop in-order to maintain constant output power in any environmental condition. It consists of wind turbines with permanent magnet synchronous generator (PMSG). The output of boost converter is feed to the common dc link which is connected to the 3 phase Sinusoidal pulse width modulation (SPWM) inverter, which converts its dc input to 3 phase AC output. Simulated 2KW solar and 3.2KW wind hybrid system. The simulation of whole hybrid model is done in SIMULINK/MATLAB.

This paper presents the analysis of simple, compact, CPW- fed monopole aperture antenna with 10dB return loss (VSWR

The design of microprocessor based slip power recovery controlled slip ring induction motor is described. The Intel-8085 microprocessor is used to implement speed and current controllers and to generate firing pulses. The motor converter system is modeled in z-domain by using small perturbation around the operating point and the transfer function of the system is obtained. The stability of the system is studied by using Jury's stability criterion and the design of current and speed controllers is carried out for the good dynamic response. The effects of controller parameters on the dynamic response of the system are studied.

A detailed investigation of charging induced damage due to high power implants was done using SEMATECH SPIDER wafers with sub-50 /spl Aring/ gate oxide thickness. The SPIDER wafers have an active area to gate antenna ratio of up to 1:90 K, which enables a high sensitivity for charging related damage, Threshold voltage (V/sub t/) and gate leakage current (I/sub g/) shifts for both n- and p-type devices have been examined as a response to plasma electron flood (PEF) conditions. Results from 180 keV As/sup +/ and P/sup +/ implants at 20 mA and 5/spl times/10/sup 15//cm/sup 2/ dose are presented. The impact of PEF settings on n-mos and p-mos devices is shown, and correlated to both in situ charge monitors and CHARM wafers. This work underscores the importance of characterizing PEF operation to obtain optimum charge control.