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Volume V Issue XII

14 paper(s)

Comparative Study of Indirect Solar Drying, Electric Tray Drying and Open Sun Drying of Pineapple Slices Using Drying Kinetics and Drying Models

Wishmore Gwala and R. Padmavati · December 2016 · pp. 01-09

In this study comparison between electric tray drying, solar cabinet drying and open sun drying was done using drying kinetics of pineapple slices. A laboratory scale solar dryer was designed and fabricated with a capacity of 1kg, for electric tray drying a convective electric drying oven was used and for open sun drying a white tile with pineapple slices was placed in the open sun. Drying temperature, moisture content *(MCwb)*, drying rate, drying ratio *(MR)* and effective moisture diffusivity *(Deff)* were the indicators used for comparisons. Four common convective drying mathematical models namely Newton, PAGE, Henderson & Pabis and the Logarithmic model were compared for goodness of fit. The PAGE model showed the highest correlation coefficient (R2) of 0.940032652. The Henderson & Page model had the lowest root mean square error (RMSE) of 0.018514552. Both models were used to estimate and compare the model constants a, c and n the empirical constants and k the drying constant. These values showed very little difference between solar drying and electric tray drying. Effective moisture diffusivity *(Deff)* was compared. *Deff* was 19 x 10-9 m2s-1, 1.5x10-9m2s-1 and 1.1x10-9 m2s-1 in tray, solar and sun drying respectively.

A Study on the Impact of Marketing Strategies on Customer’s Preferences of Investments with the Banks in Indore City

Dr. Sanjay Sharma, Dr. Priyanka Sharma · December 2016 · pp. 10-25

Over the past years, it has been observed that clouds of trepidation and drops of growth are two important phenomena of the market, in order to overcome this situation marketing strategies plays an important role to increase the customer base for the banks. It provides the awareness to business customers about their products and services and explains the benefits of using their products and services so that they can deliver the best to their customers. For example a hotel chain that sources its raw material from a quality raw material supplier ensures that it will deliver good food and services to end user. The pre and post liberalization era in India has witnessed various environmental changes which directly affects the aforesaid phenomena. It is evident that post- liberalization era in India which in the middle of 1990-2000 has spread new colors of growth, but simultaneously it has also posed some challenges. As per the above discussion, we can say that the biggest challenge for the banking industry is to serve the mass and huge market of India. This paper attempts to present the impact of marketing strategies on customer preference of investments with banks. The findings of the study indicate the positive approach as the results arrived after data analysis revealed that there is a significant impact of marketing mix strategies on the sales growth. It indicates public sector banks equally offers all the modern banking services but only needs to generate more users through providing effective responses of customers dilemma through direct communication at the point of sales, which helps to better inform and educate the customers.

Necessary and Sufficient Conditions for Consistency of Ridge Regression XML Tree Regular Expressions to their Resizable Hadoop Cluster Complexity

Ravi (Ravinder) Prakash G · December 2016 · pp. 26-45

We develop a novel technique for resizable Hadoop cluster’s lower bounds, the *bipartite matching rectangular array of ridge regression XML tree regular expressions.* Specifically, fix an arbitrary hybrid kernel function f:{0,1}n ->{0,1} and let Af be the rectangular array of ridge regression XML tree regular expressions whose columns are each an application of f to some subset of the variables x1, x2,... x4n. We prove that Af has bounded-capacity resizable Hadoop cluster’s complexity omega(d) , where d is the approximate degree of f . This finding remains valid in the Declarative MapReduce programming model, regardless of prior measurement. In particular, it gives a new and simple proof of lower bounds for robustness and other symmetric conjunctive predicates. We further characterize the discrepancy, approximate PageRank, and approximate trace distance norm of Afin terms of well-studied analytic properties of f, broadly generalizing several findings on small-bias resizable Hadoop cluster and agnostic inference. The method of this paper has also enabled important progress in multi-cloud resizable Hadoop cluster’s complexity.

Ergonomics: An Implementation & Combination with Digital Product Development

Er. Vinay Kumar Singh, Dr. M K Arya, Er Rahul Kumar · December 2016 · pp. 46-51

In the past years, human factor (ergonomics) has assumed a point of crucial importance in engineering, design, development, service and maintenance sectors of industrial products. Nevertheless, in the automotive segment companies are focusing more and more on driver and passengers comfort to cater the expectations of customers, beat the immense competition and reach & extend different market segments. This paper emphasizes the introduction and combination of virtual ergonomics review along with the Digital Mock-Up (DMU) review process followed in automotive industry. In this paper, we have reviewed the ergonomic aspects of an automobile digitally during the conceptuation and digital development phases of product cycle. A comparative case study has been conducted at the Tata Motors Ltd. Lucknow manufacturing facility to compare the digital and physical ways of reviewing the ergonomic aspects of driver seat, ABC pedal position, GSL position & steering wheel position. The paper finally concludes the implementation and combination of digital ergonomic review with the digital product development reviews. .

“Monetary Policy Effect on Nifty 50 and Sectoral Indices – A Study from Indian Stock Markets”

Prof. Mrityunjaya B Chavannavar, Dr. S. C. Patil, Melita Simoes · December 2016 · pp. 59-69

The Monetary Policy makes use of various instruments like Cash Reserve Ratio (CRR), Statutory Liquidity Ratio (SLR), Repo Rate, Reverse Repo Rate and Bank rate to control the money supply of the country. Nifty 50 & Sectoral indices volatility is influenced by the monetary policy of RBI. The monetary policy may have a favorable or adverse impact on the stock market. Any changes in the monetary policy has a direct impact on stock market returns and overall economy of the nation. The stock price tends to fluctuate before and after the monetary policy is announced. It is important to understand the effect of selected monetary instruments changes on Nifty 50 & sectoral indices. This study aims to understand whether the monetary policy and stock markets move hand in hand or in opposite directions and which sector is highly influenced by the monetary policy. The study revealed that majority of the variations in Nifty 50 & sectoral indices are explained jointly by variations in monetary tools and has a strong linear relationship. There exists a moderate linear relationship between changes is the monetary policy tools and Nifty Energy movement. Majority of the variations in Nifty Energy are unexplained jointly by variations in monetary tools. It is observed that the changes in the monetary policy tools effected the Nifty 50 movement in the long term. In the short term no significant difference is observed in Nifty 50 movement.

Particle Swarm Optimization Algorithm for Reconstruction of *hv*-Convex Binary Images

Dr. Narender Kumar · December 2016 · pp. 77-80

The discrete tomography is used in place of continues tomography if the number of projections is small. But reduction in the number of projections will increase the number of solutions. So some a priori information about the object geometry is needed to reduce the number of solutions. This a priori information is called constraints. One of these constraints is that object geometry is convex in shape. If the number of projections is more than two, then image reconstruction problem is not solved in polynomial time. Particle Swarm Optimization is the technique to optimize the solution if it is not solved in polynomial time.

Erraticism of Stress on Employees at Work Place -An Empirical Study (With Reference to It Organization, Bangalore)

Dr. K .Srinivasa Krishna, Y.S.N.Murthy · December 2016 · pp. 89-93

Stress is experienced by everybody in today’s fast changing life, amidst modernization and globalization. There can be no individual with absence of the problem in real terms. It is omnipresent in every day’s life of a person, irrespective of his or her position, status, occupation, credentials, etc. Nonetheless, the level and kind of stress constantly varies. All human beings do not possess the same or uniform degree of stress or similar class of pressure. It definitely varies. Many a times, stress or anxiety depends on several factors such as occupation, family environment, friends, relatives, personal etc. However it can be also minimized to the extent that the productivity and health of the employee is maintained which could lead to a productive organization. The researcher made a modest effort to interact with employees of IT sector employees of different levels in order to find under what circumstances they feel stress and what are the factors influencing them to feel stress. .

A Note on Ga Partitions of n

Dr. K. Hanumareddy, Gudimella V R K Sagar · December 2016 · pp. 94-98

Andrews derived generating function for the number of smallest parts of partitions of positive integer n. Hanumareddy and Manjusri [5] derived generating function for the number of smallest parts of partitions of n by using r-partitions of n. In this chapter we defined the partitions of n with smallest parts of the form ak-1 where a, k are natural numbers, defined as Ga Partitions of n. In this chapter we derive generating function for Gaspt(n) by using r-Ga Partitions of n. We also derive generating function for sum Gaspt(n) .

A Survey on Friend Recommendations in a Social Bookmarking System Using Serendipity

Hiral R. Patel, Shital A. Solanki · December 2016 · pp. 99-102

Obtaining recommendations from trusted sources is a critical component of the natural process of human decision making. Social media systems allow users to share resources with the people connected to them. In order to handle the fast growth of the content in these systems and of the increasing amount of users, recommender systems have been introduced. A form of social media, known as Social Bookmarking System, allows to share bookmarks in a social media. It also allows users to use tags (keywords) to describe resources that are of interest for them, helping to organize and share these resources with other users in the network. By analyzing users with a similar behavior (i.e. users who have a large amount of tags and bookmarks in common), accurate friend recommendations can be produced that are both novel and serendipitous.

Estimation of Severity of Parkinson’s Disease Using Gait Analysis

H K Shreedhar, Dr. Anadthirtha B Gudi · December 2016 · pp. 103-105

Parkinson’s disease (PD) is one of the very common neural disorders which results in severe disability. Different signals like EEG, speech and gait can be used to detect Parkinson’s disease. In this paper gait analysis is used to determine the level of severity of Parkinson’s disease in pathological subjects. Here stride time of normal subjects is estimated and threshold value is found. Based on this threshold value, pathological subjects are classified depending on the disease severity.

Synchronization of Traffic Light System for Maximizing Efficiency along Helmet Circle, Sal Junction and Mam Nagar

Gulam Jilani, Megh Modi, Abhi Mitra, Prof.Tejas Joshi · December 2016 · pp. 106-111

The Traffic Signal Synchronization is a traffic engineering technique of matching the green light times for a series of intersections to enable the maximum number of vehicles to pass through, thereby reducing stops and delays experienced by motorists. Synchronizing traffic signals ensures a better flow of traffic and minimizes gas consumption and pollutant emissions. The objective function used in this work is a weighted sum of the delays caused by the signalized intersections. In this paper, we apply generalized ’surrogate problem’ methodology that is based on an on-line control scheme which transforms the problem into a ’surrogate’ continuous optimization problem and proceeds to solve the latter using standard gradient-based approaches while simultaneously updating both actual and surrogate system states. We extend a ‘surrogate problem’ approach that is developed for a class of stochastic discrete optimization problems so as to tackle the traffic signal synchronization problem to minimize the total delay (DTSS). Numerical experiments conducted on a test and a real networks show that the surrogate method converges in a very small area.

Kinetic and Thermodynamic Study of the Oxidation of Aromatic Alcohol using Polymer Supported Chromic Acid

Vilas Y. Sonawane · December 2016 · pp. 112-115

Oxidation of primary and secondary alcohols to the corresponding carbonyl compounds is an important transformation in organic chemistry. The kinetics of the oxidation of 1-Phenylethanol (PE) by Polymer supported Chromate has been followed by monitoring the increase in the absorbance of reaction intermediate. The reaction followed by zero order behavior, being zero order in each reactant. The rate of reaction increase with increase in weight of oxidant, concentration and temperature .A free radical scavenger affects the reaction rate. The stiochiometry has been found to be 1mol PE: 1mol of Chromate. Thermodynamic parameters evaluated are [Ea] = 75KJ mol-1, [∆H#] =54 KJ mol-1, [∆S#]= -69 JK mol-1, [∆G#] =288KJ mol-1, and [A] =3.1 x 10-5s-1 results under pseudo zero order conditions are in agreement with the rate law. The reaction product acetophenone was isolated and characterized.

Design Development and Manufacturing of Table Saw for Human Safety

Ronak Suthar · December 2016 · pp. 116-123

This project proposes strategies for safe working of table saw. The table saw is used extensively in wood working. The worker working on this machine is unskilled or semi- skilled worker, hence the machine has to be made incorporating the safety features so that it is to operate. The existing table saw is use are associated with more injuries than any other type of woodworking tool, but there are no published national epidemiologic studies of table saw related injuries. The proposed design also avoids the costly disc brake attachment used in existing advance saws which are to be replaced very frequently. The project aims at to give safety during working on table saw machine and cost effective solution in industry.

Experimental Investigation on E-Glass Fiber with Additives

P.Priyanka, Dr. M. M. S. Prasad, K. Suresh, P. N. V. Satyanarayana · December 2016 · pp. 124-128

The aim of this present topic is to fabricate glass fiber reinforced polymer laminates using Hand lay-up and press moulding techniques, sample prepared as per ASTM standards. These specimens are tested under tensile test, flexural test and compressive tests. These laminates will be prepared with varying additives. The main theme of this project is to study the strength of glass fiber reinforced polymer composites. These composites are known to enhance the mechanical properties. In the present work, E-glass fiber is incorporated in a polyester resin matrix to form bi-directional reinforced composite.

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