Web server maintains the essential user log files, recording every request to it. Web log is a record of events which includes all the user details from the time the web visitor initiated the session to the end of the session. The web usage pattern discovery to identify different states of the user access behavior on web. The design of web recommender system using a context-aware Cohesive Markov Model and Apriori clustering is proposed. The prediction rate of proposed algorithm is higher than conventional Markov model.

Electric vehicles are become more popular nowadays due to negligible gas emissions and less dependent on fossil fuel. However, the battery charging process is the main challenge that influences the electric vehicle (EV) transportation system. The power factor correction (PFC) and dc-dc converter stages are the main phases in the EV charging system. Various electric vehicle charging technologies are developed using different power electronics converter topologies, such as cuck, Zeta, SEPIC, and buck-boost converter. SEPIC (Single Ended Primary Inductor Converter) converter topology is the most preferred topology for battery charging applications due to providing non-inverting output with buck boost operation and reduced input and output ripple current. Although the SEPIC convertor topology has many advantages still possess a lot of challenges. The main challenges are reducing the converter size, conduction loss, voltage stress and increasing the efficiency when compared with the existing recent developed Bridgeless SEPIC topologies with interleaved concept. In this proposed research, a modified interleaved bridgeless, SEPIC based converter is proposed to improve the Power Quality (PQ) for vehicle charging station. The proposed topology is able to reduce the voltage stress, power loss, increase the converter efficiency and improve the power factor due to the bridgeless with interleaved configuration compared to other topologies. The preliminary design of the of the bridgeless interleaved topology is developed with the help of MATLAB Simulink software. The various preliminary results were obtained at the input supply voltage of 70-230 V ac supply.

In this work, a pair of LED-to-LED transceivers had been designed and implemented for bi communication between two PCs.Previous work in LED-to-LED communication relies on software to utilize LED as a light receiver.The problem of such method lies in the difficulty of synchronizing transmitter and receiver.In this work, a fully hardware-based solution is implemented using low current Op-Amp.The proposed method yields higher baud rate and requires no software overhead (microcontroller-less).It is also concluded that the maximum communicable distance of the link is inversely proportional with the baud rate.

In this paper, the design of a wideband width impedance matching topology for Power Amplifier (PA) applications has introduced. The design topology has implemented with single, double and triple stages to demonstrate the wideband width frequency range for input and output matching network section of the PA amplifier. Each stages of the proposed matching circuit has LC filter with high and low pass design configuration. The single stage configuration provides the wide band frequency of 1.07 GHz to 2.094 GHz at -74 dB gain. The frequency range of 0.75 GHz to 2.95 GHz has obtained in double stage configuration with -28 dB, 40 dB gain. The triple stage offers a wide frequency range of 0.59 GHz to 3.7 GHz with -17 dB, 96 dB, -55 dB and -30 dB gain at the cut off frequency of 1.5 GHz which is suitable for PA applications.

In this paper, the design of a wideband width impedance matching topology for Power Amplifier (PA) applications has introduced.The design topology has implemented with single, double and triple stages to demonstrate the wideband width frequency range for input and output matching network section of the PA amplifier.Each stages of the proposed matching circuit has LC filter with high and low pass design configuration.The single stage configuration provides the wide band frequency of 1.07 GHz to 2.094 GHz at -74 dB gain.The frequency range of -0.75 GHz to 2.95 GHz has obtained in double stage configuration with -28 dB, 40 dB gain.The triple stage offers a wide frequency range of 0.59 GHz to 3.7 GHz with -17 dB, 96 dB, -55 dB and -30 dB gain at the cut off frequency of 1.5 GHz which is suitable for PA applications.

Pulse width modulation (PWM) is used to generate pulses with variable duty cycle rate. The rapid rising and falling edges of PWM signal minimises the switching transition time and the associated switching losses. This paper presents a DC motor speed controller system using PWM technique. The PWM duty cycle is used to vary the speed of the motor by controlling the motor terminal voltage.The motor voltage and revolutions per minutes (RPM) obtained at different duty cycle rates. As the duty cycle increases, more voltage is applied to the motor. This contributes to the stronger magnetic flux inside the armature windings and the increasethe RPM. The characteristics and performance of the DC motor speed control system was investigated. In this paper, a PIC microcontroller and a DC-DC buck converter are employed in the DC motor speed controller system circuit. The microcontroller provides flexibility to the circuit by incorporating two push button switches in order to increase and to decrease the duty cycle rate. The characteristics and performance of the motor speed controller system using microcontroller was examined at different duty cycle rate ranging from 19% to 99%.

An image processing algorithm for detecting rice leaf blast disease is proposed in this paper using a new method which is fractal dimension and chaos game theory. The diseased leaf is analyzed according to its image pattern and fractal dimension, specifically boxcounting ratio calculation, and chaos game, were applied to be able to identify the disease pattern’s selfsimilarity and to recreate the fractal. The image’s selfsimilarity at the first stage of infection is the same as when it is fully infected. This process is proposed as preliminary information for the development of an early detection system or for developing a knowledge base for an expert system or decision support system meant for an agricultural application.

Sugarcane is the most important plant in Indian agriculture as well as in economy also. In this world, India is a second largest production of sugarcane. Sugar is the by-product of sugarcane and it participates in our day today life in all the essential food items. Farmers are much interested to gain profit when they harvest from their land. Normally the plants may affect by the natural deficiency like water, sunlight and soil. Most of the plants leaves are affected by fungal diseases caused by viruses. Same way the sugarcane also affected by the bacterial diseases and it will leads the farmer to spend more time to identify the diseases and it increase cost to prevent from the diseases. The samples of sugarcane leaf scorch taken for the experiment. This leaf scorch caused by the bacterium which is popularly known as Xylella Fastidiosa. This paper emphasizes to detect and classify the sugarcane leaf scorch diseases automatically by using image processing techniques they are acquisition, filtering, segmentation and feature extraction. The accuracy of this experiment is given 95%.

In the current century, the requirement of dc power plays a vital role in industrial areas. Most of the application needs variable dc power supply for the operation. The efficient dc power is able to control the electrical equipment appropriately. A microcontroller based DC-DC Buck-boost converter is designed and presented in this project. The variable dc voltage obtained from the converter circuit which is controlled by signal representing from microcontroller. In order to control the output voltage of the buck-boost converter, the controller is designed to change the duty cycle of the converter. The simulation circuit is developed using MATLAB simulation program. An experimental set up is developed to verify the simulation results. The buck-boost converter circuit with MOSFET as a switching component is developed. The microcontroller is used to generate duty cycle of PWM signal is programmed. The simulation and experimental results show that the output voltage of the buck-boost converter can be controlled according to the value of duty cycle.