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Author profiling: Age prediction of blog authors and identifying blog sentiment
Authorship profiling is about finding out different characteristic of an author like age, gender, native languages, education background etc., by finding out the patterns in their writing. Blog authors write about a lot of topics like purchase decisions, digital advertising, personality development, fitness, technology updates etc., and these authors play an influential role on its readers. In this paper, we are categorizing the blog authors in three different age groups based on the content available from the blog. Natural Language Toolkit (NLTK) is a set of libraries used for natural language processing to distinguish among the different writing pattern of the author based on the different age groups. NLTK helps to make analysis on the words of the blogs which is an important feature in our research. We also wanted to conduct sentiment analysis on the blog in order to understand the insight on how the author feels about the blog topic. Thus, we have used Nae Bayes Classifier for doing the analysis and considered two sentiments for the same: positive and negative. An average accuracy of 66.78% was achieved in predicting the age of authors. From the sentiment analysis we figured out that elder authors tend to have more positivity in their blogs as compared to younger authors. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
An advanced variable temperature refrigerator for preservation and management of food items
All food items will have shelf life period. The main aim of food preservation is to maximize the shelf life period and preservation of nutrients for a long period. One of the preservation methods is refrigeration. Each food item will have its own optimum storage temperature to maximize the shelf life period. Normal refrigerators have fixed temperature. The work proposes a refrigerator with six compartments which is equipped with temperature sensors to maintain the fixed temperature for that compartment and with weighing sensors to monitor the depleting food items with the help of a controller. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved. -
Long run relationship between macroeconomic indicators and Indian sectoral indices
Investors and fund managers continuously strive to find new ways to diversify their portfolio and minimise risk exposure. The study aims to find out whether the macroeconomic indicators exert the same influence on stock prices across the entire stock market or varies across different sectors. The impact of macroeconomic indicators would not be the same on all the sectors. This paper provides empirical evidence of macroeconomic indicators such as crude oil prices, interest rates, foreign currency rates, money supply and inflation rates having a varied impact on Nifty50 index and each of the select sectoral stock indices namely, Nifty Bank, Nifty IT and Nifty financial services. The sample period runs from Jan 2009 to Jan 2019. The study employs the Error Correction Mechanism to study whether the macroeconomic indicators have the same impact across sectoral stock indices in the long run. The findings show that variations in macroeconomic variables do not trigger the same response from all the sectoral stock indices. While most of the variables chosen have a significant influence on Nifty50 index and NiftyIT; Nifty financial services and Nifty Bank remain unaffected by changes in few major macroeconomic variables or show opposite reaction than the other sectors. The findings of the study have significant implications for long term investors and investment managers for building a diversified portfolio and thereby protecting themselves from financial losses during adverse market conditions. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Performance evaluation of machinelearning techniques indiabetes prediction
Diabetes diagnosis is very important at preliminary stage rather than treatment. In todays world devices like sensors are used for detection of diabetes. Accurate classification techniques are required for automatic identification of diabetes disease. In regards to research diabetes prediction with minimal number of attributes (test parameters) is to be identified earlier research states about feature reduction but with less predictive accuracy. In this regards, this work exploits machine learning techniques(methodology) such as Logistic Regression (LR), Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF) and Neural Network (NN) with 10-fold Cross Validation (CV) for classification and prediction of diabetes with Feature Selection Methods (FSMs) using R platform. Above all models enable us to investigate the relationship between a categorical outcome and a set of explanatory variables. The experiment was conducted on PIMA Indian diabetes dataset selected from UCI machine learning repository. From the experimental results it is identified that for full set of diabetes dataset attributes, Classification Accuracy (CA) achieved was 84.25%whereas with reduced set attributes an accuracy of 85.24% is achieved using NN with 10-fold CV technique compared to others which will help in medical application to predict diabetes with minimal features. BEIESP. -
Non-enzymatic electrochemical determination of progesterone using carbon nanospheres from onion peels coated on carbon fiber paper
A simple electrochemical sensor was developed by coating Onion peel wastes derived carbon nanospheres on carbon fiber paper (CFP) electrode. Carbon nanospheres (CNS) were prepared from Onion peels utilizing an environmentally benign and cost-effective strategy. In the present investigation, the obtained carbon nanospheres were coated on carbon fiber paper and the modified electrodes were physicochemically characterized by Field emission scanning electron microscopy (FESEM) with energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD) spectroscopy and X-ray photoelectron spectroscopy (XPS) techniques. Electrochemical characterizations of the modified electrodes were done by Cyclic voltammetry (CV) and Electrochemical impedance spectroscopy (EIS). CNS modified CFP electrode was successfully used in the determination of Progesterone, an important steroid hormone at an ultra-nanomolar level with superior detection limit of 0.012 nM. The developed electrochemical sensor was effectively utilized for the determination of Progesterone in pharmaceutical Progesterone injections, human blood serum samples and cow milk samples. 2019 The Electrochemical Society. -
Mobile banking technology adoption model: Revisiting the tam approach
The user acceptance of Mobile banking technology is limited in terms of appropriate measurement variables. In M-banking practice, the influencing factors and the relationship with adoption is unrevealed. The data was collected through crowd sourcing method which is considered to be most relevant method. The results of hypotheses testing and SEM analysis showing that the relationship between the perceived usefulness and behavioral intention is significant direct relationship is existed in the same way perceived trust on the m-bankers has direct effect on m-banking user behavioral intention. The Perceived Ease of Use and Perceived Social Influence is not significantly influencing the behavioral intention but the important missed constructs, Perceived Trust along with Perceived Usefulness is highly influencing the M-banking users. The M-banking App developers should emphasis on need based apps and must incorporate strong security aspects for eliminating model risk associated with the M-banking application. The present study developed a new measurement variable called Perceived Social Influence and Perceived Trust along with Perceived Usefulness and Perceived Ease of Use of original TAM which are hypothesized to adopt M-banking technology. For M-Banking technology services, the original TAM did not hold good as there was an absence of a crucial factor for M-banking, Perceived Trust and Social Influence. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved. -
Changes in Wage Trends and Earnings Differences in Kerala
In this article, the weekly earnings gap between men and women in Kerala is examined by a number of inequality indices such as the percentile ratio and the Gini coefficient. The entropy measures of inequality are used to decompose wage inequality into within-group and between-group inequalities. The earnings inequality between men and women has been increasing, even though their wage grows faster than mens wage. The indices of inequality suggest the growing wage disparity in the regular and casual labour market. The result reveals that the levels of education and earnings are positively correlated, but women with the same level of education earn much less than men in regular salaried work. The rising wage inequality of men and women during 20042009 were associated with the growth rate of wages in the same period. That is, the wage rates of both regular and casual workers have increased more than four per cent during the period that experienced the highest inequality. 2019, Indian Society of Labour Economics. -
Enhancing the performance in education by implementing gamification
The gaming industry is growing rapidly in the present generation along with the advancement of technology. Gaming has captured all the young minds with its high and realistic graphics. What makes the gaming industry so attractive is that the players have complete freedom in the game. Freedom to fail, they can try until they succeed another feature is that game is user-centric. Consequently, a lot of research is been in the field of education to increase student's engagement towards studies. The main aim of this paper is to combine these game elements with learning to see if it yields better results. A quantitative approach is used to analyze the student's performance and interest in learning. Using these game elements in education will encourage the students to learn as well as have the flexibility to complete the course at their own pace. Copyright 2019 American Scientific Publishers All rights reserved. -
Sentiment analysis on social media data using intelligent techniques
Social media gives a simple method of communication technology for people to share their opinion, attraction and feeling. The aim of the paper is to extract various sentiment behaviour and will be used to make a strategic decision and also aids to categorize sentiment and affections of people as clear, contradictory or neutral. The data was preprocessed with the help of noise removal for removing the noise. The research work applied various techniques. After the noise removal, the popular classification methods were applied to extract the sentiment. The data were classified with the help of Multi-layer Perceptron (MLP), Convolutional Neural Networks (CNN). These two classification results were checked against the others classified such as Support Vector Machine (SVM), Random Forest, Decision tree, Nae Bayes, etc., based on the sentiment classification from twitter data and consumer affairs website. The proposed work found that Multi-layer Perceptron and Convolutional Neural Networks performs better than another Machine Learning Classifier. International Research Publication House. -
A metal-A nd base-free domino protocol for the synthesis of 1,3-benzoselenazines, 1,3-benzothiazines and related scaffolds
Efficient protocols have been described for the synthesis of 1,3-benzoselenazines, 1,3-benzothiazines, 2-aryl thiazin-4-ones and diaryl[b,f][1,5]diazocine-6,12(5H,11H)-diones. These transformations were successfully driven towards the product formation under mild acid catalyzed reaction conditions at room temperature using 2-amino aryl/hetero-aryl alkyl alcohols and amides as substrates. The merits of the present methods also rely on the easy access of rarely explored bioactive scaffolds like 1,3-benzoselenazine derivatives, for which well-documented methods are rarely known in the literature. A broad range of substrates with both electron-rich and electron-deficient groups were well-tolerated under the developed conditions to furnish the desired products in yields up to 98%. The scope of the devised method is not only restricted to the synthesis of 1,3-benzoselenazines, but it was also further extended towards the synthesis of 1,3-benzothiazines, 1,3-benzothiazinones and the corresponding eight membered N-heterocycles such as diaryl[b,f][1,5]diazocine-6,12(5H,11H)-diones. 2018 The Royal Society of Chemistry. -
Whether CSR is internalized in corporate India? An empirical study
Purpose: The purpose of this research paper is to examine whether Corporate Social Responsibility is internalized in Corporate India?. Design/Methodology/Approach: The primary data were used to meet this papers main objective. The structured questionnaires were sent to 2100 managerial people in different sectors of corporate through email and finally 318 responses were received. These figures represent an acceptable response rate of 15 %. The collected were analysed and identified the findings with the help of appropriate statistical tools. Findings: The results demonstrate that there is significant difference among senior and top managers of the corporate India towards internalisation of CSR practices. Further, there is no difference between the managers personal profile and their perceptions CSR practices. The identified results are having managerial implications in the Corporate in India. Originality/Value: The authors main contributions are: Theoretical approach particularly stakeholder model of CSR has been discussed and made it link to the present days CSR practices of corporate India. Secondly the identified results are having managerial implications towards successful CSR strategy for the corporate India. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Modelling and analysis of split parallel hybrid electric vehicle based on 14 degrees of freedom
The paper studies the scope, performs the modelling and validation for conversion of any Convetional Vehicle to a Split Parallel Hybrid Electric Vehicle. The introduction of a smart Energy Management System for sucha setup is also evaluated. The EMS enables load sharing between the IC Engine and the Traction motor based on the gradient of the road. The gradient analysis is performed using the GPS based road gradient database. For the accurate modelling and the dynamic analysis of the designed model the performance of the vehicles Degrees of Freedom (DoF) for the variation in steering angle is analyzed. 14 DoF parameters are considered and the designed vehicle is subjected to variation in steer angle followed by the analysis on the response of the DoF parameters. BEIESP. -
Calendar anomalies in the Indian stock markets: Monsoon effect
This paper deals with identifying the presence of monsoon effect in the Indian stock market using EGARCH model as well as the impact on the volatility of returns of the selected indices during the monsoon months in India. Daily time series data of closing price of four major indices i.e. Nifty 50, Nifty Smallcap 100, Nifty Midcap 100 and Nifty 500 over a period of sixteen years (April 2002 to March 2018) were collected and analysed. The results substantiate the fact that monsoon effect is present in the Indian equity market. The returns of Nifty 50 and Nifty 500 indices during the month of September were significantly higher. There was also a significant increase in the volatility during the month of September. No significant change was detected during the monsoon months for Midcap 100 and Nifty Smallcap 100. Monsoon effect was found in indices tracking top performing 50 stocks and 500 stocks listed in NSE. Hence, it can be inferred that monsoon effect is present in the Indian stock market. 2019, Allied Academies. -
Potent of sales-persons, impact on the channel of distribution in lighting industry in bangalore
Its found in array of literature on the roles, functioning of the sales persons and also illuminates how these are measured on effectiveness of channel of distribution. This study made with objective for better understanding of various variables, and out of which primary factors that could be focused for effectiveness of channel of distribution in lighting industry in Bangalore from the perceptive of intermediaries. This study draws the responses from intermediaries who are pivotal force (opinion leaders) in the market, which could prove more deep understanding for strategizing the channels in the said industry. From the review of literature we streamlined the functions performed for potent of sales persons. Further analysed with vivid using various statistical tools to understand loads (Eigen value), hence, prompting with Principal Component Analysis. This study is uses all normative way to analyse of the results reframed pivotal factors, in classifying, draining out insignificant factors. By regrouping based on the array of load, we come to understand 3 vital ingredients viz., 1) intermediaries appointment criteria 2) sales training& communication 3) concern for cost and needs of intermediaries, and urging to business institutions to opt for better channel strategy. Notwithstanding, the relationship with intermediaries are charismatic in nature, and dynamics of channel strategy would and will be determinant for success of any business organisation. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Psychosocial correlates of resilience among older adults in Mexico
There is a tremendousglobal increase in the older adultspopulation. Mental health in older age is as important in as it is for other age categories. Majority of older adults show healthy states, vitality, good humor and enthusiasm in performing various activities, interest in continuing to contribute to their family and society despite the difficulties of this stage of life due to large part to resilience they have. The aim of the study was to establish social and psychosocial factors associated with resilience.A cross-sectional and correlation study was conducted on older adults who were hospitalized in a public General Hospital of Mexico in 2013. Resilience, gender, occupation, family environment, self-esteem, presence of critical life events, and the presence of significant persons were assessed. 186 older adults participated. Higher levels of resilience were found in males and employed people. Participants with a functional family and high self-esteem had the highest levels of resilience. Besides, 15% of the variance of the total resilience score was explained by family environment, and 27% was explained by self-esteem (p<0.05).Although all participants were older adults, individual characteristics such as gender, occupation and self-esteem; besides family environment, were found to be associated to the levels of resilience in this population. Specific programs- -enhancing these factorsare needed to improve resilience. 2019 Oriental Scientific Publishing Company. All rights reserved. -
Twitter data analysis using hadoop ecosystems and apache zeppelin
The day-to-day life of the people doesn't depend only on what they think, but it is affected and influenced by what others think. The advertisements and campaigns of the favourite celebrities and mesmerizing personalities influence the way people think and see the world. People get the news and information at lightning speed than ever before. The growth of textual data on the internet is very fast. People express themselves in various ways on the web every minute. They make use of various platforms to share their views and opinions. A huge amount of data is being generated at every moment on this process. Being one of the most important and well-known social media of the present time, millions of tweets are posted on Twitter every day. These tweets are a source of very important information and it can be made use for business, small industries, creating government policies, and various studies can be performed by using it. This paper focuses on the location from where the tweets are posted and the language in which the tweets are written. These details can be effectively analysed by using Hadoop. Hadoop is a tool that is used to analyze distributed big data, streaming data, timestamp data and text data. With the help of Apache Flume, the tweets can be collected from Twitter and then sink in the HDFS (Hadoop Distributed File System). These raw data then analyzed using Apache Pig and the information available can be made use for social and commercial purposes. The result will be visualized using Apache Zeppelin. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Inquiry into reverse logistics and a decision model
A process in which a product is moving in reverse along the supply chain network is called as reverse logistics. The objective of reverse logistics is to recapture the value of the final product. Reverse logistics is gaining ground because of its importance in managing a closed loop supply chain. Companies across the world are showing concern about environmental degradation and are realising the need for sustainable development. Many countries have already passed legal regulations. Good reverse logistics process indicates lot of reuse, recycling and reducing the material consumed, thereby ensuring sustainability. Improving reverse logistics will result in increase in sales up by 10%, a reduction in the supply chain costs by 25% to 40%. In retail sector the profit margins are less and strengthening reverse logistics can increase the profit margins. This paper attempts to inquire into the reverse logistics area and come out with the prioritised variables impacting the different reverse logistics disposition decision. The paper attempts to propose a conceptual model for reverse logistics disposition decision. Copyright 2019 Inderscience Enterprises Ltd. -
Rayleigh-B nard convection in Casson and hybrid nano uids: An analytical investigation
The thermal Rayleigh-Bard convection (TRBC) in two different fluids namely Casson fluid and hybrid nanofluid is investigated analytically. The stability analysis is performed in both linear and non-linear form. The nanofluid properties like thermal conductivity, viscosity, thermal expansion coefficient and density are considered to be functions of the volume fraction of nanoparticles whereas the same properties of Casson fluid are assumed to be constant. The amount of heat transfer is analyzed in the non-linear analysis using the generalized Lorenz model. The influence of Casson fluid parameter and nanoparticles (single and or binary) which affect the onset of convection is analyzed. It is found that hybrid nanofluid delays the convection and will further enhance the heat transfer rate. Also, the Casson parameter advances the convection while it reduces the heat transfer rate. 2019 by American Scientific Publishers. -
Challenges and concerns of assisted reproductive treatments: A systematic review
India, once a highly populated country with a Total fertility rate of 5.7 1(year 1960) now has one of the least fertility rates of the world around 2.3 1 (year 2015). In just one decade, with the rising economy, improving life expectancy and lifestyle, we have embraced a new disease Infertility 2. There are numerous reasons for rising infertility amongst Indians, some related to life style changes, some infections and some are occupational hazards. As a remedy to this new disease, hospitals in India were quick enough to learn Assisted Reproductive Technologies from foreign countries and practice the same in our home country. There are many ART clinics in every city however; this solution to the problem of infertility is a problem in itself. The paper uses a systematic review process to unravel the causes of infertility and highlights the concerns revolving around infertility treatments and finally presents suggestions to policy makers. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Cognitive technology for the Indian higher education: A Language teaching and Learning application
Past decade witnessed a technological boom in the world. Regardless of the age every person in the world owns a mobile device which can be connected to internet. The technologies and applications for these mobile devices are one of the inevitable part people's day to day lives. The past decade also evidenced the development of Artificial Intelligence, Machine Learning (ML), Natural Language Processing (NLP), Image Processing (IP), Speech Recognition (SR) and Big DataAnalytics (BDA), etc. which lead to the development of Intelligent applications for the fields like business, health care, weather, media, etc. The field which uses the technology in a slow pace is education system. This paper is majorly focused on the Indian higher education system and the technologies used in their teaching and learning. One of the major drawbacks of Indian higher education system is the traditional teacher centric teaching and learning process. The usage of technology in their education system limited to chock and board to power point presentation. Some of the elite Universities in India uses Massive Online Open Courses (MOOC) but majority of the education institution still follows the old method of teaching and learning. This paper profiles cognitive technology based applications which can be used for the betterment of current system. The proposed model in this paper is for the language course learning. The application is centered on ML and NLP. Copyright 2019 American Scientific Publishers All rights reserved.