Today electricity is a major concern worldwide and most of the power generation stations are based on conventional fuels like coal but we have limited sources of these non renewable fuels. So as to minimize the dependence on these sources, we have to move on to new and renewable sources like solar and wind, etc. However proper usage of electricity could also be one of the effective tools for saving the conventional fuels because the need of street lamps is not essential in every street in all periods of time. Street lights are one of the most crucial parts for public lighting systems which consume a major part of the generated electricity. The conventional or manual controlled street lighting system has demerits like high power consumption, high cost and absence of effective monitoring system. This paper describes an energy efficient approach of Smart Street lighting system, which can automatically turn off LED lights lamps during the hours of daylight and only operate during the night and intensity of street lights based on surrounding light intensity & vehicles pass through certain roads. Basically a smart street lighting system is a flexible street lighting system consists of various sensors, a microcontroller and ZigBee technology which make it an intelligent street lighting system. This system would provide a remote access for streetlight maintenance and control. An automatic streetlight system is designed with the help of ZigBee modules which can be help in detection of faulty lights and control it. For monitoring purpose, a graphical user interface (GUI) is created, it enables checking in case of system failure. In addition, it can reduce the wastage of electricity, increase the lifetime of the lamps and reduce the pollutions. This system can effectively overcome the demerits of any conventional street lighting system.
Z-source inverters have been recently proposed as an alternative power conversion concept as they have both voltage buck and boost capabilities. This paper presents a detailed analysis, showing design of impedance network, implementation of Maximum Boost control PWM technique and simulation of Z – source inverter for different values of modulation indices. In this paper, maximum boost control methods for Zsource inverter is examined. The Maximum Boost control method of the inverter is analyzed using simulation with MATLAB/Simulink. A maximum boost control is presented to produce the maximum voltage boost (or voltage gain) under a given modulation index. The relationship of voltage gain to modulation index is analyzed in detail and verified by simulation and experiment. The control method, relationships of voltage gain versus modulation index and voltage stress versus voltage gain are analyzed in detail and verified by simulation and experiment.
Cloud computing is architecture for providing computing service via the internet on demand and pay per user access to a pool of shared resources namely networks, storage, servers, services and applications, without physically acquiring them. So it saves managing cost and time for organizations. Many industries, such as banking, healthcare and education are moving towards the cloud due to the efficiency of services provided by the pay-per-use pattern based on the resources such as processing power used, transactions carried out, bandwidth consumed, data transferred, or storage space occupied etc. Personal health record (PHR) service is an emerging model for health information exchange. It allows patients to create, manage, control and share their health information with other users as well as healthcare providers. In reality, a PHR service is likely to be hosted by third-party cloud service providers in order to enhance its interoperability. However, there have been serious privacy concerns about outsourcing patients' PHR data to cloud servers, not only because cloud providers are generally not covered entities under HIPAA, but also due to an increasing number of cloud data breach incidents happened in recent years. In this thesis, we propose a privacy-preserving PHR system using attribute-based encryption (ABE). In this system, patients can encrypt their PHRs and store them on semi-trusted cloud servers such that servers do not have access to sensitive PHR contexts. Meanwhile patients maintain full control over access to their PHR files, by assigning fine-grained, attribute-based access privileges to selected data users, while different users can have access to different parts of their PHR. Our system also provides extra features such as populating PHR from professional electronic health record (EHR) using ABE. In order to evaluate our proposal, we create a library that implement primitive of key-policy attribute-based encryption (KP-ABE) algorithms. We also build a PHR application based on Indivo PCHR system that allows doctors to encrypt and submit their prescription and diagnostic note to PHR servers using KP-ABE. We evaluate the performance efficiency of different ABE schemes as well as the data query time of Indivo PCHR system when PHR data are encrypted under ABE scheme.
The main purpose of this paper is to improve the power quality by using PWM Techniques and also discussed the effect of harmonics. This paper explains the power quality in term of definitions, causes and effect. The different configuration PWM technique is used for harmonics reduction & improvement of fundamental peak voltage. The basic objective of a PWM rectifier is to regulate the DC output voltage and also ensure a sinusoidal input current and unity power factor operation. This is implemented by high speed IGBT switches connected in anti parallel mode across the rectifier diodes. The output voltage is controlled by switching these IGBTS and higher order ripples at the output can be easily eliminated with the help of passive filters. Lower order harmonics are eliminated using PWM technique. This paper describes the results on the basis of MATLAB simulation. The simulation results of the presented techniques have been demonstrated and concluded for various load resistance. Simulation and experimental results verify the good performance of this improved Harmonics voltage Stability and Power Quality Improvement in harmonic.
An Active Filter is controlled current or voltage power electronics converter that facilitates its performance in different modes like current harmonics compensation, reactive power compensation, power factor correction and load balancing in the distribution system. The compensation process uses different control approaches to extract the reference current but they all share a common objective i.e imposing sinusoidal currents in the grid, eventually with unity power factor and load balancing. The main aim of the research work is to enhance the power quality using Active Filters. In this thesis three phase three wire voltage source Shunt Active Filter has been implemented. It mainly deals with improvement of major power quality issues like harmonic elimination, reactive power compensation, power factor correction and load balancing due to nonlinear load. The thesis provides a complete framework for the analysis of power quality issues.
As the consumption of the energy is increasing day by day, idea of exploring renewable energy sources are also growing. Due to our limited energy sources, renewable energy sources are the future. Significant progress has been made over the last few years in the research and development of renewable energy among these resources, solar energy is considered one of the most reliable renewable energy sources. However, solar energy systems generally suffer from their low efficiencies and high costs. In order to overcome these drawbacks, maximum power should be extracted from the PV panel using MPPT techniques to optimize the efficiency of overall PV system. The energy conversion efficiency of a PV generation system (PGS) is low because the solar cell exhibits nonlinear current versus voltage (I–V) and power versus voltage (P–V) characteristics. These nonlinear characteristics are functions of weather conditions such as solar insulation and panel temperature. In order to maintain efficient operation, maximum power point tracking (MPPT) algorithm which has quick response and can extract maximum power from the PV arrays in real time becomes essential in PGSs.
Natural image is one of the fundamental problems in image processing. In day-to-day life, new technologies are emerging in the field of Image processing, especially in the domain of segmentation. Image segmentation is an important research area in the field of computer vision as well as image processing. Image segmentation is the process of partitioning an image into multiple meaningful regions or sets of pixels with respect to a particular application. Image segmentation is a critical and essential component of image analysis system. It divides an image into its constituent parts. Image segmentation is mainly applied in analysis of an image, object detection, image matching and so on. Techniques for image segmentation can be classified into pixel based, region based, and edge based. Its main purpose is to get meaningful results, effective storage, and fast retrieval. In literature, there are many image segmentation techniques. This paper presents a brief outline on some of the most common segmentation techniques like thresholding, Model based, Edge detection, Clustering etc. Clustering methods were one of the first techniques used for the segmentation of natural images. In this paper performance overview and comprehensive assessment of various image segmentation techniques has been conducted. This paper also enlists different areas to enhance the performance of existing image segmentation techniques and various performance measures to evaluating them. And the MATLAB simulation result shows that: each kind of image segmentation algorithm has its own advantages, disadvantages and scope.
The electrical energy is one of the easily used forms of energy. It can be easily converted to other forms of energy. With the advancement of technology, the dependency on the electrical energy has been increased greatly. Computer and telecommunication networks, railway network banking, post office, life support system are few application that just cannot function without electricity. At the same time these applications demand qualitative energy. Nowadays, the term power quality has becoming increasingly concerned by both electric utilities and end users of electrical power. Power quality problems such as transient, short duration variations (sags, swells and interruption), voltage imbalance, waveform distortion (dc offset, harmonics, inter harmonics, notching and noise), voltage fluctuations and power frequency variations can affect the performance of the equipment at consumer. The most affected due to these problems is industrial customers who use a lot of sensitive equipment. This paper shows the techniques of correcting the supply voltage sag, swell and interruption in a distributed system power electronics, based equipment called Distribution Static Compensator (D-STATCOM). Distribution STATCOM (D-STATCOM) exhibits high speed control of power to provide voltage stabilization, protects distribution system from voltage sag and /or flicker caused by rapidly varying reactive current demand. During the transient conditions the D-STATCOM provides leading or lagging reactive power to active system stability, power factor correction and load balancing