Volume 6 | Issue 2

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Advanced Index Modulation, OFDM, QAM & MIMO.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Consumer Attitude, Corporate Social Responsibility

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Now, A days friction stir welding process has many advantages compared to tradinational welding process. The present work aims assign to prospect to weld two work pieces of aluminum alloy 6061 and aluminum silicon carbide composite and study the effect of mechanical properties of welding joints. In this experimental work welding will be carried out by using different welding speed and tool rotation speed. The Hardness, tensile strength and mechanical properties will be carried out by using different mechanical test

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 Keywords

friction stir welding (FWS), Optimization, Welding parameter, aluminum alloy, aluminum silicon carbide composite (AlSiC) , hardness, tensile strength

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Retailing, Market Competition, supply chain management, competitive trend

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In India, southern part are hot and humid, so air conditioning is needed and it cots high consumptions of electricity. Besides conventional system dry air may be produced by using desiccant materials like silica gel, activated alumina, activated charcoal lithium chloride, calcium chloride etc. having low operating and maintenance costs with environmental friendly system. In this article various methods for desiccant regeneration are discussed. Solar collectors are used for the regeneration of the desiccant materials and have better efficiency. Use of solar energy also eco-friendly with the environment thus it reduces the environmental issues.

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Regeneration rate, adsorption, irradiation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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SewerGEMS, Sewer network design, AUTOCAD, GIS

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In this paper, we will be focusing on brain tumor present in the MRI images. MRI that is directed into intracranial cavity produces a complete image of brain. Identification of Tumor cells leads to classification of stage of Tumor. We have carried out various processing steps to identify the brain tumor using MATLAB. Processing steps like RGB to gray conversion, image resizing are used in this project. We have suggested an effective algorithm on brain tumors based on FCM segmentation. Morphological operations are carried out for background removal and identification of Tumor cells.

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brain tumor, MRI, FCM segmentation.

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 Abstract

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Global warming ,Rate of evaporation, Reservoirs

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Raspberry Pi, Tesseract, OCR, eSpeak

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Planomillar machine is use for the face milling operation. In planomillar machine the face milling process is done by using the rotary cutters. Planner milling machine is mostly used for the facing operation in mass production in industry. Using the pallet loading the loading and the unloading time is reduce. While using Pallet the required man power is less and the productivity of the machine is increase. Pallet loading is very easy to loading and unloading from the planomillar machine bed. In this process the pallet design is a very important part for holding a component and also the cycle time is reduce. This paper is related to the design of pallet loading which is efficient and more effective.

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Stresses in pallets, productivity, and Equivalent deformation, CATIA, ANSYS

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Liver Failure is a serious condition and it affects the patients life time. Disease identification is the most cruciaAl task for treating any disease. Liver disease can be inherited (genetic) or caused by a variety of factors that damage the liver. Machine learning technique is widely used in various fields of science and technology. They have been giving out meaningful and classified information. It also explores in constructing and study of algorithms which can learn from data. Data mining in healthcare is an emerging field of high importance for providing prognosis and a deeper understanding of medical data. Building an effective disease management strategy requires analysis of large amount of data, early detection of the disease, assessment of the severity and early prediction of adverse events. This will inhibit the progression of the disease, will improve the quality of life of the patients and will reduce the associated medical costs. Toward this direction machine learning techniques have been employed. The aim of this paper is to present the state-of-the-art of the machine learning methodologies applied for the valuation of liver failure. The main objective of this research work was to find the best classification algorithm in terms of precision, accuracy, specificity and sensitivity. Therefore, the present investigation was done to determine the relative performance of four classification algorithms namely, Support Vector machine (SVM), Logistic Regression, Random Forest and Decision Tree algorithm based on collected liver patient data.

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Liver, Machine Learning, Logistic regression, Random Forest, Decision Tree, Support Vector Machine

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The telephone advertise in India is amidst a progress. Individuals are moving from highlight telephones to advanced mobile phones .The rising interest for moderate PDAs in the major developing markets of India and China has helped nearby portable makers outperform shipments by the built up worldwide brands. Till a year prior, they were simply aggravations. Today, they are a genuine danger. Homegrown cell phone brands have blown a genuine gap in the pockets of their multinational opponents. The home developed brands have possessed the capacity to click with the cost cognizant Indian shoppers by offering an incentive for cash items. We are presently hitting a place where there are advanced mobile phones at each cost point, where the majority will profit by the huge number of players getting more choices. The reason for this paper is to gauge the adequacy of homegrown versatile brands in India and the level of danger they are posturing to their multinational adversaries. To gather the information 250 respondents has been taken as test and information has been investigated by the assistance of chi-square test. This investigation has comprehended the shopper inclinations of various cell phone among the understudies.

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smart phones, consumer preferences

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Creative Commons Attribution 4.0 and The Open Definition

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Trade can be a motor or engine for development. In the past this motor has sputtered, inferable from India's approaches instead of its topography. The difficulties ahead for India and in addition for others nations now lie in actualizing sound local strategies that expansion rivalry in, and enhance the contestability of household markets. With the appearance of globalization, trade strategy administrations in many nations have changed in an unexpected way. Hostile to dumping is a standout amongst the most dubious and easily proven wrong issues of the WTO agreement. The use of dumping laws have been presented in numerous parts of the world for quite a long time, its history and use in India is more recent. The use of anti-dumping law and mechanism in India somehow coincides with the liberalization process. The basis of antidumping is to address universal value segregation which is damaging to certain residential ventures. Examination process is one of the critical advances taken by the legislature of the individual nations with respect to antidumping. Hostile to dumping obligation is perceived as an instrument for guaranteeing reasonable trade and isn't a measure of security as such for the residential business. It gives alleviation to the household business against the damage caused by dumping.

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WTO, Antidumping, agreements, local bussiness, globalisation, trade

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In a Country Like India, The Chances Of News Featuring Eve-Teasing, Kidnapping, Child Trafficking Is 90% More Than Appearance Of Any Other News Feature .More Than 50%Cases Of Missing Children Have Been Reported From All Over The Country. Leading To Repetition of More Of Such Crimes Even Educational Institution Like School And College Are Not safe. Now The Question Arises, In This Fast Growing World Of Technology How Can We Embed The Same To Safeguard Our Children? Our Smart Wearable Device i.e. ID CARD For Little Children Is One Small Step To Help Parent Locate Their Children With Ease Even If They Are Not With Them. As a Result Of Which a SMS/Text Enabled Communication Medium Between Parent And Child ID-CARD Is Established .

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SMART ID-CARD,RFID,GPS,GSM,TRACKING CAPABILITIES,GOOGLE MAPLINK,CHILD SAFTEY DEVICE(CSS)

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In Todays Robotic Era the customization and modification of residential home are running trends. This can be possible by using the artificial intelligence in which we are converting our living room in different kind of environment like Disco, pub and party house and study environment plus traditional functions environment according to our need. We can customize and covert our single environment of residential home in a such a way we are applying the entire artificial intelligence for controlling the each system available in the residence like we can ON and OFF the Lights, Fans and also smartly we can operate a switches from remote location. Digitally we can operate the AC system. Each appliance in the residence under the observation and control of user it will save the electricity and provide the high level of security and safety. The system can be possible to implement through configuration and synchronization of different types of cross platforms that are Rasbiance, Android and some kind of database.

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Home automation, Smart phone, Arduino, Bluetooth, Home Appliances, Arduino board, sensors.

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In Data mining, finding itemsets that gives high utilities based on high profit, low cost, low risk and other factors is termed as High-utility itemsets mining (HUIM). Extracting such information is useful in business and marketing for understanding buying pattern of customers. There are efforts to find high utility itemsets based on regular occurrence of itemsets, which is not useful in different applications. There can be some interested itemsets found where some products can give high profit even though customers do not regularly buy them together. It helps to improve sale amount of profit and marketing strategy. So this paper aims to find high utility irregular itemsets (HUII) using map-reduce in order to perform task in parallel and improve performance.

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Creative Commons Attribution 4.0 and The Open Definition

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High-utility itemsets mining (HUIM), high utility irregular itemsets (HUII), map reduce

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The present work concerned an experimental study of turning on Stainless steel of grade & aluminum by a HSS tool. The primary objective of the ensuing study was to use the response Surface Methodology in order to determine the effect of machining parameters, cutting speed, feed, and depth of cut, on the surface roughness of the machined material and the metal removal rate (MRR) of the tool. The objective was to find the optimum machining parameters so as to minimize the surface roughness and maximize the metal removal rate (MRR) for the selected tool and work materials in the chosen domain of the experiment. The experiment was conducted in an experiment 18runs .Surface Roughness was measured using a Taylour Hobson .The data was compiled to for analysis. The relationship between the machining parameters and the response variables (surface roughness and MRR) were modeled and analyzed.

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Key Words : Cutting Speed,Feed,Metal Removal Rate,Talysurf

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Brain tumor is nothing but an uncontrollable and abnormal growth of cells within the brain. Most research in developed countries shows that main cause of death of people having brain tumor is incorrect detection of brain tumor. It is one of the most dangerous diseases and therefore it should be detected quickly and accurately. This can be done by using automatic tumor detection techniques on medical images. Generally, MRI or CT scan that is directed into intracranial cavity produces the complete image of the brain tumor. Magnetic Resonance Imaging (MRI), a highly developed technique of medical imaging, is used to visualize internal structure of human body without any surgery. For the accurate detection of brain tumor, segmentation of MRI image is important. Classification of tumor, through segmented MR image, into normal and abnormal MRI brain images, is a difficult task due to complexity and alteration in tumor tissue characteristics like its location, size, gray level intensities and shape. In this paper, review of various techniques of automatic detection of brain tumor using Magnetic Resonance Image (MRI) is proposed.

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Brain tumor, MRI, detection, Kmeans, SVM, CNN, Deep Learning

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 Abstract

Inclusive Education – Concept and Form in India

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Inclusive, Education, Class room, school

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Creative Commons Attribution 4.0 and The Open Definition