International Journal of Engineering Research and General Science

6-16

Authors: Vianny Jeniston Delima

This study examined whether corporate governance has impact on organizational performance in Financial Institutions as research problem. This research was carried out with objective to measure association between Corporate Governance and Financial Institution’s Performance in Batticaloa district. Conceptual framework has been developed to measure linkages between Corporate Governance and Financial Institution’s Performance. Board Size, Corporate Governance Mechanism, Communication Strategies, and Code of Conduct are considered as the measurement variables of Corporate Governance which was derived from Changezi & Saeed (2013) and Customer Satisfaction, Employee Commitment and Corporate Reputation are considered as the measurement variable of Organizational Performance which was derived from Bayoud (2012) and Carton (2004). Questionnaires were used to collect data for this study. 115 Management Respondents and 115 Customers from whole Financial Institutions in Batticaloa district have been selected for this study. Data were analyzed and evaluated by Univariate and Bivariate techniques. In Univariate analysis, Descriptive statistic has been used for the analysis. In Bivariate analysis, Correlation and multiple regressions have been used for the analysis. Findings have shown the Corporate Governance and Organizational Performance are at high level. Moreover, it also found that there is a strong positive relationship between Corporate Governance and Organizational Performance. Corporate Governance significantly impacts Organizational Performance of Financial Institutions. These findings would be useful to consider more on Corporate Governance practices to avoid the Corporate Collapses and to achieve successful Organizational Performance Keywords- Corporate Governance, Organizational Performance.

24-31

Authors: Shri Om Mishra, S. Hasan Saeed, Pratiksha Rai, Udaya Pratap

The main aim of this research work is to detect the butane, carbon monoxide, methane, ethane, LPG and other organic gases from the solid waste and do environment monitoring. Here the set of sensors used to detect the pollutant gases from solid waste. Green and pollution free environment across the globe is very much required for the health of the nature. The different kinds of pollutions are affecting the quality of the environment around us. This review paper is mainly dealing with environment monitoring of organic gases which is a very sensitive issue in the world and is directly affecting the human health and disturbs the biological balance of earth. Here our aim is to develop a sensor array system which will detect maximum pollutant gases and which is highly responsive, accurate and low cost and low power consuming. Here we use the parallel factor analysis technic (PARAFAC) for detection of gases and compare it with the principal component analysis (PCA). Keywords— Electronic aroma detector, E-nose device, Multi sensor array, sensors; classification; discrimination; quantification; odor concentration.

37-42

Authors: R.Subha

The "Internet of things" (IoT) is a hot topic of conversation both in the workplace and outside of it. Basically, IoT is a concept of connecting any device to the internet. This includes almost everything from mobile phone, washing machines, baby monitors, cars or even a jet engine of an airplane. IoT certainly opens the door to virtually endless opportunities but also to many challenges. Security vulnerabilities are big issues that are usually brought up in conversations. It's obvious that traditional approaches of user authentication are now inadequate and ineffective in the IoT era. This survey paper presents the security in the form Biometrics in Internet of Things security. KEYWORDS: Internet of Things (IoT) , Interoperability , Privacy ,Security vulnerability, Internet

53-58

Authors: 1Miss Rupali A. Mathe,

The most important issue for practical signal processing applications is removing noise, echo etc. The hardware implementation of adaptive filters is a challenging issue in real-time practical noise cancellation, echo cancellation, applications. An adaptive filter is a kind of filter that changes and updates its specifications according to the application automatically. Adaptive filter in general consists of two basic processes, filtering process and adaptive weight control process. This adaptive weight control mechanism may be different algorithms such as LMS,DLMS,RLS,NLMS which are used for error minimization. This paper presents the survey on design and implementation of LMS and DLMS adaptive filter architectures on a Field Programmable Gate Arrays (FPGA) chip. The adaptive filters LMS and DLMS will be compared and analyzed on the basis of performance parameters such as Device utilization summary w.r.t. FPGA, Speed Factor and maximum operating frequency. The filter architecture is considered for designing and the VHDL hardware description language will be used for algorithm modeling. The practical results of simulation will be monitored using Modelsim.

66-70

Authors: Deepak Purohit, Goverdhan Singh, Udit Mamodiya

The plant (an arrangement of solar panels) which converts solar energy to light energy from the sun into electrical energy (charge emission) is called a solar power plant process. In solar plant there are many solar panels are connected and in panels there are many cells units which make panels. In which special metal is used which is in the form of lines and these lines are also connected to very thin lines and all these lines are connected to a metal line frame which is mainly quadrilateral in shape. So there is large area to trap light i.e. now there is a suitable area for light to fall on it as the metal arrangement in large to fall on it electrons start’s to emit from thin lines to metal frame and current goes into a diode box which is behind the panel and then comes into supply wires. Keywords: CSP, DER, FIT

80-85

Authors: Prem Singh1,*, Rubi1, Ayushi Sood2 and Poonam Gramni3

The analysis of physiochemical parameters of groundwater from different locations of District Karnal, Haryana was carried out. The physiochemical parameters namely pH, electrical conductivity, Total Dissolved Solids, Total Alkalinity, Total Hardness, Chloride, Calcium, Magnesium, and dissolved oxygen were determined. Each parameter was compared with the standard desirable limits prescribed by World Health Organization (WHO), Bureau of Indian Standard (BIS) and Indian Council of Medical Research (ICMR) to assess the quality of ground water. Systematic calculation was made to determine the correlation coefficient ‘r’ amongst the parameters. Significant value of the observed correlation coefficients between the parameters was also carried out. It is concluded that the water quality of water supply systems in different locations of Karnal is of medium quality and suitable suggestions were made to improve the quality of water. Keywords: pH, Kurukshetra, ground water, water quality, physiochemical parameter, water pollution

96-102

Authors: M.Mayilvaganan, R.Manickam

The key problem in achieving efficient and develop user-friendly retrieval in the domain of image processing and also to estimate the density (height)of the snowfall in cross section view with scaling factors and density based algorithms. In this research work, an aerial digital images can be gathered from various background situations with 7.2MP resolution. After pre-processing the snowfall image, the proposed methodology can be implemented in order to identify the snowfall region using DBSCAN and data grid clustering algorithms. Using the clustering algorithm, the snowfall regions are clustered and segmented according to their size. After clustering the snowfall area, using binarization technique the total number of black pixels(1’s) snowfall area are computed automatically. Final objective is to identify the suitable cluster density for landing the flight with respect to minimum density region and size for different sets of images in the snowfall occurrence area. The efficiency of the proposed methodology have been compared with DBSCAN and Data Grid algorithm with respect to memory usage and running time of the algorithms for different sets of aerial images. Keywords- Binarization, clustering, DBSCAN , Data Grid algorithm, scaling factors.