Now a day the world is focusing into automation. This project is aimed to do bending operation for tube by using automation and named as automatic tube bending machine. The main objective of project is to implement the automatic tube bending machine for bending with less cost compared to the existing bending machines, and increasing the productivity of the bend tubs. Automatic bending machine consist of bending die, pulleys, chuck, bed, linear motion lead screw, timing belt, base frame, micro controller, sensor, computer. The tube is bent by the pulleys with holding the tube in the bending die. The main advantage of our project is the tube can bend at any angle in any plane continuously without repositioning the tube in the machine.

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The concept of superresolution is for increasing the input image resolution. The paper focuses to study the iterative curvature based methods on single diseased leaf image having low resolution. For agricultural countries like India, Crop plays a vital role in country’s economic growth. Plants gets viral, bacterial or fungal diseases which have a significant reduction quantity as well as quality of agricultural products. The traditional approach of expert’s naked eye observation is time consuming. For this leaf identification system, leaf diseases detection system, plant diseases diagnosis system are developed which demands high resolution leaf images as input for better recognition rate. The use of superresolution technique which is related in both with the statistical relationship between high resolution output and low resolution input images and with the human perception of image quality can be considered as cheapest solution. However superresolution algorithms are being affected by artifacts such as over smoothed, jaggies, blurred or over sharped. The paper has described NEDI: New Edge Detection Interpolation with PSO Algorithm which outputs the superresolved image for a single leaf image with less memory requirement then NEDI or FCBI: Fast Curvature Based Interpolation. Fine edges in SR images are preserved without applying complex mathematical algorithms based on wavelet, fast curvelet etc. The concept can be useful for agricultural expert to help farmers for exact leaf disease detection and further accurate remedial actions for the same. The experimental result shows the best visible result of an infected leaf along with statistical comparing parameters: Mean Square Root (MSE) and Peak Signal to Noise Ratio (PSNR).

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Face Sketch Synthesis has several sensible uses in digital amusement world and low group action. This combine survey the similarity between completely different picture patches and former information to synthesis face sketchs. Given coaching photo-sketch pairs, technology learns a exposure patch feature lexicon from the coaching job exposure patches and replace the exposure patches with their thin coefficients throughout the adequate method. For take a look at exposure patch, first get its thin constant coefficient via learnt spare so search its nearest neighbour at intervals the total coaching job exposure patches with thin coefficient.

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Engineering components and structures are regularly subjected to alternating loads, which made them prone to fatigue failures. It is well known fact that almost all fatigue cracks form at surface due to variety of surface stress concentration features, including grain boundaries, machining marks, surface breaking inclusions. Fatigue performance of metallic parts depends on three factors: Metallurgical, surface geometry and residual stress. The residual stresses are mainly of two types i.e. tensile residual stresses and compressive residual stresses. Tensile residual stresses are responsible for detrimental effects on the component and compressive residual stresses for beneficial effects on the components. The shot peening is the process by which the compressive residual are induced in the component and that increases surface hardness which can be helpful to avoid the fatigue failure of the component. The performance of the shot peening can be measured by the Arc height and the Almen Intensity. The experimental study made with the help of RSM and validation by the regression and ANOVA of shot peening process on the chain link used in the conveyors.

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The present research work deals with analysis of biodiesel yield through response surface methodology. An interaction effects of input process parameters on cottonseed biodiesel has beendrawn in order to analyze the combine effect of input variables on response (biodiesel yield). It is observed that cottonseed biodiesel vary with change in one parameter keeping others fixed.

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The optimum input parameters can be predicted by applying response surface methodology. The various studies show RSM, an effective technique for enhancing the output by creating design of experiments. Applications of RSM technique include manufacturing engineering production engineering, renewable energy etc.

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A phenomenal growth in the wireless industry, both in terms of mobile technology and its subscribers, has been witnessed in last few years. There has been a clear shift from fixed to mobile cellular telephony, especially since the turn of the century. With all the technological advances, and the simultaneous existence of the 2G, 2.5G and 3G networks, the impact of services on network efficiency have become even more critical. Many more designing scenarios have developed with not only 2G networks but also with the evolution of 2G to 2.5G or even to 3G networks. LTE communication systems has different features like handover, carrier aggregation, and change in the transmission power etc. The LTE system which contains these features can be tested for different scenarios. Testing the different scenarios with respect to different features in the network will help indicate and improve the different problems present in the scenarios. Automation testing provides logs for every test scenario run quickly and efficiently when compared to the manual labor and time required to test each scenario manually. The automation framework supports automation test scripts which runs to generate logs for different test cases. The objective of the project is to enhance the Automation Test Framework that supports the automation scripts to obtain the results of the test cases in quick and user friendly manner. The automation test scripts run generates logs for each test case. The goal of the project is to reduce the manual activity required for analyzing the results of each test case every time by obtaining the results of all test cases in one space.

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The use of high strength concrete (HSC) has increased all over the world. Among the factors that justify this increased use is the strength increase for structural aspects and durability. High strength concrete is a concrete made with conventional concrete materials and admixtures such as fly ash, silica fume, blast furnace slag and superplasticiser, in varying proportions so as to give maximum strength and excellent performance in the various properties of concrete. This paper presents the result of mix design developed for HSC with fly ash and High range water reducing admixture (HRWR) with angular and rounded coarse aggregate. The study aims at comparing two methods of concrete mix design with angular and rounded coarse aggregate; The Department of Environment Method, UK and The American Concrete Institute Method, using different water to cementitious ratio (w/cm). In this research work 53 grades Ordinary Portland cement, the locally available river sand, 12.5mm angular and rounded coarse aggregate were selected based on IS 383:1970 standards for determining the relative quantities and proportions for different w/cm ratio. For design ACI 211.4R-08 and DOE guidelines are followed. The compressive strength values were determined at the age of 28 days curing period respectively. It was found that ACI 211.4R-08 method gives high strength as compared to DOE method. The ACI 211.4R-08 method did not make provision for uncrushed aggregate in its design method, implying that comparison could not be made in that regard.

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Metallic fuses are supplemental energy dissipating devices that are fabricated into the structure to ensure safety of primary structural members. During a severe earthquake the fuse elements yield to dissipate seismic energy through structures. Elastic analysis gives a good estimate of elastic capacity of structure and also can indicate the first yielding point but it cannot predict the failure mechanism and account for the redistribution of forces during yielding. In the present work nonlinear analysis is studied with passive energy dissipation devices. The passive energy dissipation devices that are chosen for investigation include metallic bracings which are used as metallic fuses. They are installed in the second and third bay location of the investigated building. Three different configuration of bracing utilized are X, V and inverted V. For carrying out analysis a G+7 building is modeled using SAP-2000 software and designed according to IS1893:2002 code specification. The dynamic time history analysis is carried out by imposing accelerogram of three different earthquakes. Interstorey drift, storey displacement, shear force and moment proved to be the key constraints in accessing the performance of the building structure. These PED's brought about 30% to 50% reduction in values of displacement and storey drift and helped in improving the seismic performance of building and the purpose of using bracings and metallic damper as structural fuses fulfilled.

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In this system a smart energy meter is installed in every consumer unit and a server is maintained at the service provider side Power utilities in different countries especially in the developing ones are incurring huge losses due to electricity theft. Both the meter and the server are equipped with GSM module which facilitates bidirectional communication between the two ends using the existing GSM infrastructure. Pilferage of electricity can be substantially reduced by incorporating the proposed measures along with the prepaid metering scheme. Legal actions against dishonest consumers can also be taken in this system. The Accurate metering and billing of actual energy consumed by consumers is integrate to commercial management of an electric utility. Power utilities in different countries especially the developing ones are incurring huge losses due to electricity theft. The elec. The electrical grid in most of the developing countries has inefficiencies in different areas such as transmission and distribution, power quality, grid reliability and system protection.

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As in various search mechanism keyword search is used which provides a simple but user friendly interface to retrieve information. Web search engines are widely used for searching textual documents. An interesting problem known as Closest Keywords search is to query records, called keyword cover, which together cover a set of query keywords and have the inter-record score. In recent years, the availability and importance of keyword re-rank in record evaluation for the better decision making is increasing. This motivates us to investigate a generic version of Closest Keywords search called Best Keyword Cover (BKC) which considers inter-record score as well as re-rank. Also the exact measurement of semantic similarity between words is essential for various tasks such as, information retrieval and synonym extraction. It should be able to understand the semantics or meaning of the words. But in some cases user enters input as a phrases or meaning of the words then it is critical to find the accurate keyword so WNRD (Word-Net Reverse Dictionary) is use. When the set of query keywords is generated by query generation different results are found, to get the most probable result from the given set k-Nearest Neighbour is use on the basis of inter-record score

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