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Effects of Various Parameters on CNMG Turning Insert in Machining Ti-6Al-4V Alloy
Eriki Ananda Kumar, K. Prahalada Rao, G.Naga Malleshwara Rao and A.R. Babu

Now a days titanium materials are difficult to machine. Manufacturers are known that, with proper procedures, titanium can be fabricated using techniques no more difficult than those used for machining SS316. The machining of hard workpiece materials requires significantly harder cutting materials. Advancements in the aerospace, nuclear and other industries require the enhanced in-service performance of engineering Components. These requirements have resulted in the large scale development and use of heat-resistant and high-strength materials, such as Ti6A4V alloys, which pose considerable machining problems. In this analysis on machining of titanium alloy using cubic boron nitride (cBN) tools, the machining performance was evaluated in terms of cutting force, specific cutting pressure, cutting temperature, chip strain and surface finish. The studies of turning machinability of titanium alloy using round tee-lock cubic boron nitride (cBN) inserts have been presented. A series of turning experiments were performed with cubic boron nitride (cBN) inserts with the objective: To determining the effect of cutting variable on the tool life. To investigate the effect of cutting speed and feed rate on the surface roughness while using round tee – lock inserts. A good surface finish of 0.5 to 1 micron was obtained for cutting speed between 15 – 45 m/min, feed of 0.10 to 0.20 mm/rev and depth of cut of 1 mm and also find the Stress intensity in two different axis will be studied.
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A Combination of Efficient Algorithms in Collaborative Filtering Techniques using Pseudo Matrix
Thomurthy Murali Mohan, Koichi Harada, Balakrishna Annepu

As one of the most successful approaches to building recommender systems, collaborative filtering (CF) uses the known preferences of a group of users to make recommendations or predictions of the unknown preferences for other users. We first introduce CF tasks and their main challenges, such as sparsity, scalability, privacy protection and their possible solutions. We then present three main categories of CF techniques: memory-based, model-based, and hybrid CF algorithm, with representative algorithm of each category. First, Memory based (CF) algorithm represented technique on user similarity using Pearson correlation coefficient is proposed and applied for Collaborative Filtering. The methodology using Pearson correlation coefficient used for predictions have been discussed. Second, Model-based(CF) algorithm represented a most popular algorithms- Apriori algorithm, Simple CF Algorithm and singular value Decomposition algorithm techniques and their importance’ are discussed a new model-based collaborative filtering algorithm based on composite prototype is proposed by introducing modifications in singular value decomposition technique. Third, Hybrid-based(CF) algorithm concepts of Content-Boosted Collaborative Filtering algorithm is discussed and proposed for modification in the existing approach using probabilistic measures to improve the performance. From basic techniques to the state-of-the-art, we attempt to present a comprehensive survey for CF techniques, which can be served as a roadmap for research and practice in this area.
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A brief study of Data Mining
Khushwant Kaur, Swimpy Pahuja

Data mining plays a significant role on human activities and has become an essential component in various fields of human life. It is the knowledge discovery process which analyzes the large volumes of data from various perspectives and summarizes it into useful information. Data mining is greatly inspired by advancements in Statistics, Machine Learning, Artificial Intelligence, Pattern Recognition and Computation capabilities. In this paper, we have discussed the concept of data mining, its tools and techniques, its applications and advantages/disadvantages from beginning of the term to present scenario.
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Solution of Unit Commitment Problem Using BAT Algorithm
Anand.R, A.Azeezur Rahman

In this paper, BAT Algorithm is proposed to solve thermal unit commitment (UC) problem. The objective of UC is to determine the optimal generation of the committed units to meet the load demand and spinning reserve at each time interval, such that the overall cost of generation is minimized, while satisfying different operational constraints. BAT is a new cooperative agents approach, which is inspired by the observation of the behaviors of all microbats. The proposed method is implemented and tested using MATLAB programming. The tests are carried out using six systems having ten units during a scheduling period of 24 hr.
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Enhancement of Available Transfer Capability using Facts Devices in Deregulated Electricity Market
G.Vinu Priya, S. Jerril Gilda

In an open power market, sufficient transmission capability should be made available for satisfying the demand of increasing power transactions. Certain methodologies are to be developed to enhance the power handling capacity of existing transmission lines. Flexible AC transmission System (FACTS) devices are inserted in electrical systems to enhance power transfer capability. Static synchronous compensator (STATCOM) is highly helpful in enhancing the power carrying capacity of a line by adjusting its reactance. The location and sizing of STATCOM is the major issue in optimizing the benefits. The heuristic algorithm of Quantum inspired particle swarm algorithm is proposed for optimizing the location and size of STATCOM devices. The algorithm is with less number of parameters and can be easily implemented for practical applications. The effectiveness of the proposed method is demonstrated on an IEEE 30-bus benchmark system in MATLAB.
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A Review on Service Oriented Architecture Approach
Kulvinder Singh

The emergence of service-oriented architecture (SOA) as an approach for integrating applications that expose services presents many new challenges to organizations resulting in significant risks to their business. Particularly important among those risks are failures to effectively address quality attribute requirements such as performance, availability, security, and modifiability. The goal of this article is to offer practical information to assist the architecture evaluation of a system that uses the SOA approach.
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Volume 5, Issue 1 
(January 2018)

Submission: 15 December 2017
Publication: January 2018


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