International Journal of Research and Engineering
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A Review of Energy Storage Systems for Wind Power Plants
Get PDFThe worldwide consumed energy is increasing every year by technological developments and incremental of the population. The growing energy demand is generally covered by exhaustible resources. However, using fossil fuels damage environment. For this reason, Wind Power Systems, type of renewable energy, are preferred for establishing new power plants. Wind Power Plants (WPP) are installed every year with a significant increasing rate. Integration of large scale WPPs into grid presents some issues, such as power quality, bridging power and energy management. State of the art the Energy Storage (ES) is a possible solution for Wind Power Plants.In this paper, possible ES technologies for decreasing disadvantages of WPPs are discussed and their characteristic features are compared. ES systems are indicated in terms of purpose of use in WPPs
Recent developments of ballastless tracks in high-speed and urban lines
No full textThis paper introduces the recent advances in ballastless tracks in recent years and discusses different systems in use and their applications. The idea is to provide more reliable foundation for track by replacing ballast with materials such as concrete and asphalt. Concrete is the most widely used material in ballastless tracks and different slab track configurations have been in service. However, asphalt can also be a good alternative for ballast especially where noise and vibration reduction is required. This paper discusses advantages and drawbacks that may be encountered in their construction. Other types of ballastless tracks including embedded rail systems will be discussed and recent advances and design process will be introduced
Lean Implementation on Indian manufacturing firm
Get PDFIn today’s market every manufacturing industry is trying to implement ‘Lean’ in its operations. This emergent need of reducing waste and getting efficient production had created a boom for the Lean Production (LP). Many people from corporate firms and management associates want a productive tool for achieving this task. Value Stream Mapping (VSM) is the solution to such emerging need, it identifies the source of waste practices and tries to scale down them analytically. VSM in this way measures all the value and non-value added processes, to evaluate the origin of wastes, their effect on different operation of industry and the processes in between. In this paper we have implemented VSM technique on a small scale industry to showcase its effect on cost of production, production lead time and the developing some procedure for reduction of root cause of this loss. Considering the current processes of the industries operations Current State map is developed to show how actual production is taking place at the industry before implementing any lean procedure. A Future State Map is finally developed considering the lean behaviours to reduce the waste production and to increase its productivity. This is inspected along with its takt time calculation. Thus, by curbing these wasteful practices we will show how manufacturing performance of the company can be upgraded by employment of VSM
Design and Analysis of Exhaust Manifold for a Car Engine
Get PDFOur project is to design an exhaust manifold for a car. The goal is to make a new high performance turbo header designed to increase the power and efficiency out of the 1.8 liter engine at an affordable price. The three design alternatives are based on small restriction which creates less friction and a cooler working manifold for better performance and longer life
A brief review: Super-pixel based image segmentation methods
No full textIn this paper image segmentation techniques have been explored which uses super pixel as intermediate step along with fuzzy clustering methods. Superpixel segmentation is the process of partitioning an image into multiple segments called superpixels, which are homogeneous as in pixels inside every portion are comparable concerning certain attributes, for example, shading and surface. In spite of the fact that superpixelsegmentation as a rule yields over-sectioned results instead of item level fragments, it radically diminishes the quantity of picture primitives with insignificant loss of data and offers a simple approach to separate the probably picture objects with as few portions as could be expected under the circumstances. Likewise, since superpixelsegmentation gives a more characteristic and perceptually significant representation of the info picture, it is more helpful and powerful to concentrate area based visual elements utilizing superpixels. In order to get better segmentation the FCM use the GLCM features of turbo pixels instead of intensity values of pixels and hence help in decision making to put a particular turbo-pixel into different fcm clusters. In the proposed work, we will explore these techniques in order to get better segmentation of different sections of the input images
A Survey on Entry Restriction System for the Fake Server Scheme
Get PDFPhishing is an endeavor by an individual or a gathering to steal individual secret data, for example, passwords, MasterCard data and so forth from clueless casualties for wholesale fraud, monetary profit and other deceitful exercises. Visual cryptography is an exceptional kind of mystery sharing. In this paper we have proposed another approach for phishing sites characterization to tackle the issue of phishing. Phishing sites include an assortment of signals inside its substance parts and also the program based security pointers gave along the site. The utilization of pictures is investigated to save the security of picture captcha by deteriorating the first picture captcha into two shares that are put away in particular database servers with the end goal that the first picture captcha can be uncovered just when both are at the same time accessible; the individual sheet pictures don't uncover the personality of the first picture captcha. Once the first picture captcha is uncovered to the client it can be utilized as the secret word. A few arrangements have been proposed to handle phishing. By the by, there is no single enchantment shot that can illuminate this risk fundamentally. In this review, the creators shed light on the essential components that recognize phishing sites from genuine ones and survey how great govern based information mining grouping procedures are in anticipating phishing sites and which characterization system is ended up being more dependable
Particle Swarm Optimization with CUDA
Get PDFIn recent years, particles’ optimization algorithm has highly been used as an effective method in solving complex and difficult optimization problems. Since particles algorithm is based on recurring population and it can be very inefficient in terms of the time required for implementation and speed to solve optimization problems with large-scale including ones which need a very large population to search in problem solution space. The main reason for this issue is that this algorithm optimization process requires a large number of function evaluations which are usually run serially. This article aims to implement particles’ optimization algorithm in parallel on graphics processing unit and to improve running efficiency and speed. The implementation results on the graphics processor show that the performance of this algorithm has greatly increased as to its implementation in parallel and with change in kernel implementation. In fact, in this study, implementation and velocity evaluation of particles algorithm implementation in parallel and based on CUDA framework has been investigated and compared. Then, there have been efforts to improve acceleration in this method in part and a new method will be proposed in CUDA framework to improve acceleration in particles algorithm and graphic processor setting
Grocery Shopping Assistant Using OpenCV
Get PDFIn this paper we present an android mobile application that allows user to keep track of food products and grocery items bought during each grocery shopping along with its nutrient information. This application allows user to get nutrient information of products and grocery by just taking a photo. Product matching is performed using SURF feature detection followed by FLANN feature matching. We extract the table from the nutrient fact table image using concepts of erosion, dilation and contour detection. Classifying the grocery is done using Object Categorization through the concepts of Bag of Words (BOW) and SVM machine learning. This application includes three main subsystems: client (Android), server (Node.js) and image processing (OpenCV)
Characterization of snail shell reinforced polyester composites
Get PDFThe reinforcing fibers are the essential load transporters of material, with the lattice segment exchanging the heap from fiber. Support of the lattice material might be accomplished in an assortment of ways. . Fortification may likewise be as particles. The target of this is to research the properties of particulate snail shell strengthened polyester network composites. The snail shell particulate was created by calcination in the heater and pounded with research facility ball process. The powder was sieved utilizing strainer shaker. The composites were created utilizing foreordained extents of the particulate in an open form generation process. For each of the created composites, the blend was missed altogether until the point that homogenous glue was acquired and filled the form. The cured specimen was stripped from the shape and was permitted to cure. Mechanical (malleable, effect) and water retention tests were completed on the examples from where it was watched that the properties of the created composites were exceptionally upgraded contrasted with the unreinforced polyester material. The outcome uncovered that better outcomes can be acquired inside 5-20 wt% support expansion since 25-30 wt% tends to give powerless outcomes taking all things together. Be that as it may, 20 wt% fortification gave the best improvement execution among the created composites
Adaptive Impulsive noise mitigation scheme for Broadband Power Line Communication system
No full textBroadband Power Line Communication (BPLC) is a popular technology that utilizes the existing power line networks for the transmission of information. Impulsive noise is one of the main causes of performance degradation in the system. Several impulsive countering strategies are proposed in the literature and in particular, the clipping and blanking approaches provide a very good trade-off between the noise mitigation and the complexity of the implementation. In this paper a threshold optimization technique is proposed for asynchronous impulsive noise reduction. Also an adaptive impulsive noise mitigation system is proposed by combining impulsive parameter estimation and threshold optimization for strongly and weakly disturbed noise environments. The results show that the proposed method improves the Bit Error Rate (BER) performance of the BPLC system