Volume 6 | Issue 1

 Abstract

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Accuracy, Prediction algorithms, Training, Partitioning algorithms, Stability criteria, Estimation, Redundancy

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Cryptography, Security Algorithm, Symmetric, Asymmetric, RSA, RC6, AES, 3DES, MD5

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People in the world connected together and share their opinions, massages, comments, through social networks like facebook, whatsapp, twitter, linked in, Youtube. Mostly these are microbloggings and comments that are from youtube videos which allows limited number of words to post and there is no limit in reading the posts. Social networks have millions of active users per day, to discuss and share their opinions on currents news and events that are happening. So this is the best platform to predict the opinions of the public in terms of sentiment analysis. This analysis can give positive and negative opinions of the public, the scaling of the positive (+1 to +5), negative (-1 to -5) and neutral (0) and also emotions. In this paper predicting the sentiment analysis on youtube comments are by using some machine learning techniques and methods in R language. This sentiment analysis can give the decision making for the current events, markets, government policies and products.

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Sentiment analysis, NLP, polarity, machine learning, youtube comments, twitter tweets

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 Abstract

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Hash Function, Message Digestion, Digital Signature, LSB Techniques, Embedding And Extraction Technique

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Organizations share their data about customers for exploring potential business avenues. The sharing of data has posed several threats leading to individual identification. Owing to this, privacy preserving data publication has become an important research problem. The main goals of this problem are to preserve privacy of individuals while revealing useful information. An organization may implement and follow its privacy policy. But when two companies share information about a common set of individuals, and if their privacy policies differ, it is likely that there is privacy breach unless there is a common policy. One such solution was proposed for such a scenario, based on k-anonymity and cut-tree method for 2-party data. This paper suggests a simple solution for integrating n-party data using dynamic programming on subsets. The solution is based on thresholds for privacy and in formativeness based on k-anonymity

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Privacy preserving, data mining, k-anonymity, collaborative data publishing, dynamic programming

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Cloud computing is a popular subject across the IT industry, but risks associated with this new technology and delivery model is not yet well understood. The biggest challenge in cloud computing is the security and privacy problems caused by its multi-tenancy nature and the outsourcing of infrastructure, sensitive data and critical applications. Enterprises are rapidly adopting cloud services for their businesses, measures need to be developed so that organizations can be assured of security in their businesses and can choose a suitable vendor for their computing needs. The boom in cloud computing has brought lots of security challenges for the consumers and service providers. How the end users of cloud computing know that their information i s not having any availability and security issues? In this paper we identify the most vulnerable security threats/attacks in cloud computing, which will enable both end users and vendors to know about the key security threats associated with cloud computing and propose relevant solution directives to strengthen security in the Cloud environment. We also propose secure cloud architecture for organizations to strengthen the security

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Cloud Computing; Security and Privacy; Internet based Services, Secure Cloud Architecture

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spring boats

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Magnesium (Mg) and its alloy are potential material for biodegradable implants which makes promising due its mechanical properties. However, corrosion of these metals alloys is too quickly results in losing mechanical integrity. The problem had risen in scientific committee to solve/reduce the corrosion rate and enhance the biocompatibility of the Mg-alloy. In order to reduce the corrosion, surface was modified with the hydroxyapatite (HAp) coating. The synthesis of HAp on Mg-alloy substrate was carried out by an electrodeposition method i.e., chemical deposition. The post treatment of deposited HAp on Mg-alloy with alkali solution which results in electrodeposited calcium hydrogenphosphate coatings into the bone-like hydroxyapatite coatings. Cyclic voltammetry and electrochemical impedance spectroscopy was studied to determine the barrier properties of the HAp coatings. Polarization test in a Hanks' solution was investigated to sense the protectiveness of the coatings, which is critical for better in-service mechanical integrity. The existence of the HAp coating and its morphology on Mg-alloy was verified using Fourier transform infrared spectroscopy (FTIR)

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Mg-alloy, hydroxyapatite coating, mechanical integrity, biocompatibility

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Antibacterial Potential, Seed kernel of Mimusops elengi L., aqueous-ethanolic extract, Ethanolic extract, Medically significant bacterial strains, Agar well diffusion method and Inhibitory zone.

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The study was carried out to analyze and assess the anti-bacterial affability of Alpinia galangal L.’s (Zingiberaceae) rhizomes. To this study A.galangal’s rhizomic extracts were used. Used solvents to get Aqueous and Ethanolic rhizomic extracts of A. galangal L. were Distilled water and Ethanol. Nutrient Agar Media and Nutrient Agar broth were used. Eight (8) bacterial strains were sued for the anti-bacterial efficacy assay. Most of the bacteria were pathogens. Chosen method was Agar Disc Diffusion method. The aqueous rhizomic extract of A. galangal had potential to inhibit all the chosen bacteria. Same inhibitory zones were appeared against Staphylococcus aureus-2654, Escherichia coli-2831 and Proteus vulgaris-2027. The highest anti-bacterial activity was showed against Klebsiella pneumoniae-2457 by the same extract. Ethanolic rhizomic extract of A. galangal also showed a significant inhibition of the chosen bacteria and same inhibitory zones were formed against Bacillus megaterium-2326, Salmonella typhimurium-2501 and Proteus vulgaris-2027.Throughout the study it was recorded that both Aqueous and Ethanolic extracts of Alpinia galangal’s rhizomes had tremendous potential of anti-bacterial activity.

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Anti-bacterial activity, rhizomic aqueous extract, Ethanolic extract of rhizome, and zone of inhibition

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In this paper, the concepts of Pseudo compact Tichonov space has been introduced. We shall prove fixed point theorem in Pseudo Compact Tichonov space.

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Fixed point, Pseudo Compact Tichonov Space self mapping.

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The research compared managerial group from three different sectorsall from engineering back ground from Information technology, manufacturing and educational sector from two states of large organizations where the employees are hired from various part of India and, USA and UK. From manufacturing sector, one group was top execution managers as selected by corporate executives, while the second group was a selected group of high potential individual who would be future prospect to take up leadership roles. Another survey, training and assessment was conducted at middle management level in educational institution and the same survey was carried out in IT firm as well. The research examined influences on career development including job experience, project management experience, behavior management training, formal leadership training, and post training job assignments.

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management, leadership

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Fast Moving Consume r Goods, Consumer Behavior ,Factors influencing consumer behavior, Retail outlets

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In this work attempt is made to increase the heat dissipation rate with the help of air as invisible working fluid. We know that by increasing the surface area we can increase the heat dissipation rate, so designing such a large complex engine is very difficult. The main purpose of using these fins is to reduce the temperature of the engine cylinder by air. To analyze the thermal properties by using ANSYS with varying geometry, material and thickness of cylinder fins. Parametric models of cylinder with fins have been developed to predict the transient thermal behavior. The models are created by varying the geometry, rectangular, circular and curved fins. Present thickness of the fin is 3mm, it is reduced to 2.5mm. The 3D modeling software used is Pro/Engineer. Presently Material used for manufacturing cylinder fin body is Aluminum Alloy 204 which has thermal conductivity of 110-150W/mk. In this thesis, it is replaced with Aluminum Alloy 7075 and Beryllium

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Fin, Shape, Geometry, Engine, Cylinder

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In this project we design gas boiler as a water tube where the number of tubes have been increased for analysis purpose and with improving the gas firing efficiency in boiler. For designing we use SOLID WORK SIMULATION the boiler shell and for the analysis we are using CFD

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CFD, Solid Works, Boiler

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In the last decade we witnessed a large increase in data generated by earth observing satellites. But today Satellite Image Retrieval is a big issue to discuss. There is huge amount of research work focusing on the retrieving of images in the image database. One of the most important steps in earlier stages of satellite image processing is cloud detection. Therefore, the satellite cloud images provide a valuable source of information in weather forecasting and early prediction of different atmospheric disturbances such as typhoons, hurricanes and also in the estimation of rainfall. Rainfall is the primary source for water. Rainfall forecasting is important for agriculture and living things. The type of rainfall is predicted by analyzing the size and shape of the cloud images. Shape is important feature in the meteorological satellite images. Different types of clouds have different shapes. The content based image retrieval with the fast and high matching retrieving ability is the need of the day for shape mining. The ultimate focus of this project reports to develop a Content Based Image Processing and Information as well as image retrieval (CBIPR) system using shape feature , for the retrieval of the satellite cloud images and also to forecast the rainfall from the meteorological satellite archival that allows us to study the past weather system and understand the current weather system.

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semantic gap, typhoons, hurricanes, aquatic, retrieval

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This paper audits existing flaw tolerant route framework models and data fusion techniques for the improvement of different sensor route frameworks. In regular blame tolerant structures utilized for the plan of air ship route frameworks are laid out and quickly thought about. The movement of different Kalman filter structures and filtering calculations utilized in many incorporated air ship route frameworks are surveyed and their points of interest and impediments are outlined looks at the advancement of sensor failure detection and isolation (FDI) and respectability checking strategies, which are utilized as a part of GNSS and inertial sensor frameworks. On the premise of the writing review, the outline and technique Section exhibits a summed up Multisensor data fusion model (MSDF), which will be utilized for the advancement of future air ship Multisensor route frameworks.

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Data fusion, Multisensor data fusion, kalman filter, route, blame tolerant framework.

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The complexity in VLSI design increases with an increase in the level of integration. Due to the portable electronics area, power and delay have become the most important factors. In conventional CMOS design, the area, power and delay are more compared to other Low power techniques. In this paper Vedic multiplier is designed using different low power techniques, such as, conventional CMOS, GDI, Modified GDI, full swing defused gate style and hybrid structure which has a combination of GDI, TG, XOR, XNOR and pass transistor logic. All the designs are compared for area, power and delay. The power delay product graph is drawn for all the designs. The design and simulation are done in MENTOR GRAPHICS TOOL in 45 nm technology.

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low power, GDI, modified GDI, hybrid full adder, mentor graphics, PDP, Vedic multipliers

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Three-dimensional ultrasound is an emerging technology in assessment to the complex cardiac anatomy and function. It promises 3-D image acquisition with the potential of more objective and complete functional analysis. In 3D echocardiography the anatomic information is missing and has limited field of view, the approach of this paper is to present multi-view fusion of 3D echocardiography where multiple images are achieve from different probe positions with an reduction of speckle noise using filtering techniques in order to improve the field of view. The multiple images are aligned and fused together for preserving a structure in a single multi-view fused image by improving field of view, this paper demonstrate the electromagnetic tracking system with an integration of sensors to the transducer which can be use for the fusion of multiple echocardiography images with an reduction of speckle noise by using filtering techniques.

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Echocardiography, speckle noise

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