Design of Efficient Power Filter with Reduced Distortion Using Control Algorithm

The electrical distribution system is facing undesirable power quality disturbances due to different types of linear/nonlinear loads on the supply system. The objective of the project is to reduce the distortion level in voltage or current input to the load and at the output of the filter. To design a simple but highly viable hybrid active power buffer that is capable of feeding less distorted voltage to the nonlinear load model. To present an optimal controlling of these buffers so as to minimize the voltage distortion by designing a different algorithm for the same. Comparing the THD levels of the output voltage waveform with the standard controlling method with the proposed control design to further enhance the proposed design such that it is practically feasible to be implemented in grid system having renewable energy resources. In this work, a power filter has been designed using different algorithms with an objective to reduce the Total Harmonic Distortion in the voltage output waveforms. The total harmonic distortion in the voltage output waveform being fed to the load using only the PQ_RLS algorithm is found to be 2.18 %. In the case of the output voltage from the power buffer using PQ_RLS algorithm, the THD level is 0.17 %. The distortion level in the output voltage waveforms in both the cases being fed to the load when compared, it is found that RLS algorithm in combination with PQ algorithm is more effective in reducing the distortion as compared to standard RLS method or PQ method.

Design and Analysis of Hybrid Energy Storage System in DC Microgrid

A microgrid is a restricted gathering of power sources and loads that typically work associated with and coordinated with the conventional wide region simultaneous network (macrogrid), as the quantity of DC-creating sustainable power sources is higher when contrasted with air conditioning producing sources, lesser converter units are required. This builds the general proficiency of DC microgrid. A DC small scale lattice framework is utilizing a force organize that empowers the presentation of a lot of sun oriented vitality utilizing circulated photovoltaic age units. This paper manages the plan and execution examination of a DC microgrid with battery-supercapacitor vitality stockpiling framework under factor supercapacitor working voltage. MATLAB 9.4 is utilizing to execute the model and investigation.

A Review on Comparative Analysis of Leaf Spring by Using Different Variable Materials

Reducing weight while increasing or maintaining strength of products is getting to be highly important research issue in this modern world. Composite materials are one of the material families which are attracting researchers and being solutions of such issue. In this paper we describe design and analysis of polymer composite leaf spring. The objective is to compare the stresses, deformations and weight saving of composite leaf spring with that of steel leaf spring. The Automobile Industry has great interest for replacement of steel leaf spring with that of composite leaf spring, since the composite materials has high strength to weight ratio and good corrosion resistance. The material selected was glass fibre reinforced polymer (E-glass/epoxy) and is used against conventional steel. The design parameters can be selected and analysed with the objective of minimizing weight of the composite leaf spring as compared to the steel leaf spring.

Review on Power Quality Enhancement and its effects on Micro Grid

Power generation through the renewable energy sources has become more viable and economical than the fossil fuel based power plants. By integrating small scale distributed energy resources, microgrids are being introduced as an alternative approach in generating electrical power at distribution voltage level. The power electronic interface provides the necessary flexibility, security and reliability of operation between micro-sources and the distribution system. The presence of non-linear and the unbalanced loads in the distribution system causes power quality issues in the Microgrid system. This paper explores and reviews different control strategies developed in the literature for the power quality enhancement in microgrids.

Review On Electric Traction Systems Driving Induction Motor and Associated Power Quality Issues

The traction systems for electric vehicles have advanced considerably over recent years, with the application of different topologies of power converters for the control of various types of electric induction motors and permanent magnet. Furthermore, the evolution of power semiconductor elements of Si to SiC wideband have opened up lines of research and development in this area. The trend of manufacturer’s traction systems is to reach compact systems where the power dissipation is high and the reduction of losses is minimal, for it the implementation of topologies of converters with SiC devices seems to be a good alternative of use to improve the performance of these systems. This paper studies the basic topologies of back to back converter in traction systems als well as the powr quality issues arriving in these systems.

Improving Compressive Strength of Cement Concrete Mix by Using M-Sand and Bamboo Fiber

In the current world, concrete has become a very important part of the construction industry and the materials which are used in making concrete have evolved due to better quality of cement and better grade of coarse aggregates. The sand is an important part of concrete. It is mainly procured from natural sources. Thus the grade of sand is not under our control. The concrete cubes of M-20, M-25 & M-30 grade were threw in this trial explore work and tried to analyze different properties of concrete like compressive quality, workability. In this study M-sand is considered as a replacement of natural sand by 50, 70 & 90% by weight of sand in concrete design mix with 1% Bamboo fiber streams as an admixture. This study is carried out at the age of 7 and 28 days. In this work, the general properties of fresh and hardened concrete were tried and the outcomes were dissected. As concrete is a central material for the construction industry. In any case, in the present period where development is expanding quickly and development rate is coming to their statures, it is contrarily affecting our condition as well. So it is vital to utilize some optional materials as a part of concrete to minimize the cost, and to enhance the properties of concrete for better stability of the structures.

A Comparative Review on ALU using CMOS and GDI techniques for Power Dissipation and Propagation Delay

Arithmetic and Logic Circuits are to be designed with less power, compact size, less propagation delay in this fast growing era of technology. Arithmetic operations are indispensable and the basic functions for any high speed low power applications like digital signal processing, microprocessors, image processing, etc. Consumption of power is the major issue in designing these circuits. Also the number of transistors required is also the one of the issues in designing the circuits. To minimize the transistors required in designing the circuits and to reduce the power consumption of the circuits, the authors have referred some techniques to overcome these problems in this paper. By reviewing all these techniques, the authors try to implement the GDI technique to reduce the power consumption and transistors count or the area required to design the circuits.

Depression Detection Using Stacked Autoencoder From Facial Features And NLP

Depression has become one of the most common mental illnesses in the past decade, affecting millions of patients and their families. However, the methods of diagnosing depression almost exclusively rely on questionnaire-based interviews and clinical judgments of symptom severity, which are highly dependent on doctors’ experience and makes it a labor-intensive work. This research work aims to develop an objective and convenient method to assist depression detection using facial features as well as textual features. Most of the people conceal their depression from everyone. So, an automated system is required that will pick out them who are dealing with depression. In this research, different research work focused for detecting depression are discussed and a hybrid approach is developed for detecting depression using facial as well as textual features. The main purpose of this research work is to design and propose a hybrid system of combining the effect of three effective models: Natural Language Processing, Stacked Deep Auto Encoder with Random forest (RF) classifier and fuzzy logic based on multi-feature depression detection system. According to literature several fingerprint as well as fingervein recognition system are designed that uses various techniques in order to reduce false detection rate and to enhance the performance of the system. A comparative study of different recognition technique along with their limitations is also summarized and optimum approach is proposed which may enhance the performance of the system. The result analysis shows that the developed technique significantly advantages over existing methods.

Edge Enhancement from Low-Light Image by Convolutional Neural Network and Sigmoid Function

Due to camera resolution or any lighting condition, captured image are generally over-exposed or under-exposed conditions. So, there is need of some enhancement techniques that improvise these artifacts from recorded pictures or images. So, the objective of image enhancement and adjustment techniques is to improve the quality and characteristics of an image. In general terms, the enhancement of image distorts the original numerical values of an image. Therefore, it is required to design such enhancement technique that do not compromise with the quality of the image. The optimization of the image extracts the characteristics of the image instead of restoring the degraded image. The improvement of the image involves the degraded image processing and the improvement of its visual aspect. A lot of research has been done to improve the image. Many research works have been done in this field. One among them is deep learning. Most of the existing contrast enhancement methods, adjust the tone curve to correct the contrast of an input image but doesn’t work efficiently due to limited amount of information contained in a single image. In this research, the CNN with edge adjustment is proposed. By applying CNN with Edge adjustment technique, the input low contrast images are capable to adapt according to high quality enhancement. The result analysis shows that the developed technique significantly advantages over existing methods.

Review on The Production Of Concrete By Using Waste Coarse Material

Marble Industry produces large amount of waste during mining and processing stages. This waste is dumped on to open land which creates a lot of environmental problems. Similarly granite is also produced in the same manner in great amount. We get recycle aggregate from the old dumped structures and buildings. the main objective of this study was utilization of marble, granite and recycled aggregate waste with polypropylene fiber as a replacement for conventional natural coarse aggregates in concrete.