Identifying the reliable software using SPRT: An ordered statistics approach
Today software quality is an consequential parameter and to produce high quality reliable software and to keep a specific time schedule is a big challenge. There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. To overcome the challenge many methodology and practices of software engineering have been evolved for developing reliable software. Improving algorithms of directing the manner of software development are underway. Order statistics are used in a broad category of exercised assignments their application in improvisation problems, determination of outliers, linear estimation. In this paper we proposed the detecting the exponential reliable software using SPRT on time domain data based on Ordered Statistics approach. The unknown parameters can be estimated using the Maximum Likelihood Estimation (MLE).
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Studies on biochemical contents of piscian tapeworm senga (dollfus, 1934) and its host intestinal tissue
Present communication deals with some biochemical parameters i.e. glycogen, proteins and lipids were estimated in normal, infected intestine and their relevant four species of pseudophyllidean tapeworm Senga Dollfus, 1934 viz. S. satarensis Bhure et. al., 2011, S. madhavae Bhure et.al., 2011, S. mangalbai Bhure et.al., 2011 and S.microrostellata Bhure et.al., 2013. The non-infected intestine contains more glycogen, protein and lipids as compared to infected intestine, whereas low biochemical content in all the species of the genus Senga. The intestinal parasites were capable of extracting nutritious materials from their host and thus represented a high level in glycogen, protein and lipid.
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An Efficient method for Sign-Gestures Language Data acquisition and Recognition
Fast and robust analysis of hand gestures has received increasingly more attention in the last two decades. Sign language forms a major communication channel among the deaf people. Although they successfully communicate with each other when using sign language, they face many difficulties when they try to communicate with hearers, especially those who are unfamiliar with the sign language. In this paper we have designed a frame work for analyzing and recognizing the sign gesture language. The proposed method comes across different steps where image acquisition is done first. After image acquisition, segmentation process is carried out. The segmentation process used is the HSI segmentation. Next the images are made free from noise by performing the noise removal process using median filters. Next step is the feature extraction and recognition. For feature extraction, the feature vectors containing information about the aspect ratio, holes etc are extracted along with the shape features. The proposed method proves to be more efficient in data acquisition using sign gesture.
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Impact of Sociodemographic Factors on Job Involvement among Saudi Arabia Bank employees: An Empirical Examination
The present investigation was planned to examine the impact of certain sociodemographic factors such as position, age, experience and marital status on job involvement among banking employees of kingdom of Saudi Arabia. The sample consisted of 274 employees working in different banks located in Riyadh, the capital of Kingdom of Saudi Arabia selected randomly from various banks. Job Involvement Scale developed by Lodhal and Kejner (1965) with biographical information blank was distributed to the bank employees to collect the data. The major findings of the present research revealed that: (i) The managers and subordinate staff were not found to differ significantly in terms of job involvement (ii) The younger and older in age group of bank employees differed significantly with job involvement (iii) high and low work experienced groups did not differ significantly in terms of degree of job involvement and (iv) The married and single group of bank employees differed significantly in terms of job involvement. Future directions for required research are suggested to sensitize the banking employees to maximize the level of job involvement.
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A survey on applications of network coding in wireless sensor network for lifetime enhancement
Wireless Sensor Networks have been scattered over many unattainable areas such as glaciers, forest, gas, oil water etc to gather real time sensitive information. These Sensor nodes are capable of gathering a large quantity of data by sensing the area, this consumes a large amount of broadcasting and transmission power and thus reducing the life-spam of batteries running sensor node. Through this paper the researcher investigated relationship between the network coding techniques and the transmission power of WSN. Network coding, in belief, is a Layer 3 invention that enhances the network throughput and performance in wireless networks for multicast or broadcast situations. This Paper basically performs the survey on area the where network coding is applied in WSN to enhance the battery life of the nodes by various researchers. It also analyzes the factors which effects the networks lifetime.
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Phyto-chemical analysis, anti-microbial activity and germination studies of Mimosa pudica extracts
Mimosa pudica is a perennial creeper. It has been found to have several medical benefits as it serves as an anti-asthmatic, Anti-convulsant, analgesic anti-diabetic and many more .In the present study the various phyto-chemicals present in Mimosa pudica were determined using phyto-chemical analysis. The well diffusion method was employed to determine the antibacterial activity of Mimosa pudica and the point inoculation method was used to determine the antifungal activity of Mimosa pudica This anti-microbial activity was tested at different concentrations of the extract. The findings showed potential anti-microbial property of extracts. Preliminary phyto-chemical analysis of the extracts was performed. A few samples were analyzed for the presence of Flavonoids by the method of UV Spectroscopy. Germination studies were performed using the aqueous extracts of Mimosa pudica .The findings showed enhanced germination in the presence of the extracts.
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Assessment on Air Quality Index in Kolkata and suburban area of West Bengal, India using cluster analysis and neural network Techniques
Air quality index (AQI) is the single value numerical expression to evaluate the quality of a given air at a particular location. The present study classifies the locations with different air pollution characteristics in respect of AQI and to evaluate the parameters of the locations of the monitoring program. A selected cluster analysis is applied to the pollution monitoring dataset which including SPM, RPM, SO2, NO2. A computer-simulated artificial neural network (ANN) model is developed using Matlab to get a good interaction between the different components of air of different location in Kolkata responsible for Air Quality measurement and their relationship with AQI.
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Sample plate based color independent automatic license plate detection
Automatic license plate recognition of vehicles is a real time embedded system which identifies the characters directly from the image of the vehicle license plate. In the present research, an efficient method for license plate localization in the images without dependence of the plate color is proposed. After capturing the image of the vehicle, some image-enhancements are done first in order to reduce problems such as low quality and low contrast in the vehicle images. The proposed method extracts edges and then determines the candidate regions by comparing it with a selected plate which has appropriate size for selected capture distance. Finally by connected component elements analysis, the license plate is detected. The proposed system has improved efficiency as compared to earlier methods.
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Growth and characterization of new centrosymmetric 2-Aminopyridine potassium chloride single crystal for NLO Applications
A new centrosymmetric semi organic crystal of 2-amino pyridine potassium chloride (2-APKC) was grown by slow evaporation solution growth technique at room temperature for the first time. Powder XRD study reveals the crystalline natures of the grown sample. Single crystal XRD study shows that the grown crystal is cubic systems of a= b= c= 6.19 Å; and ? = ? = ? = 90? with cell volume 237Å3. FTIR spectral study identifies the chemical composition and their corresponding functional groups of the grown crystal 2-APKC. UV–visible NIR spectral study confirms the absorption band in the range 250-800 nm with lower cutoff wave length at 320 nm. Thermal, dielectric and photoconductivity studies of grown crystals were done and discussed. SHG efficiency of the as-grown centrosymmetric crystal is confirmed first time by the Kurtz powder technique.
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Design and fabrication of a home scale human powered flywheel motor operated forge cutter
This paper addresses the development of a Human Powered Flywheel Motor (HPFM) operated forge cutter. This set-up is used to cut forage crop residues like maize Stover, sorghum Stover in dry condition. This cut Stover can be feed to cattle directly. The current practice by small livestock farmers is to cut forage manually by axe or machetes. The mechanized cutters also available which are hand operated as well as electric motor driven. But today there is severe power shortage in country like India, particularly in rural and remote area. It is convergent to the fact that the hand muscles are weaker than leg muscles. The concept of human powered flywheel motor is used to develop the pedal operated forge cutter. In this set-up flywheel is used as a motor or a store for energy. The operator pumps the energy into flywheel by pedaling bicycle- drive mechanism with a speed rising gear pair. After a one minute pedaling is stopped, and then flywheel shaft is connected to cutter shaft through spiral jaw clutch. The stored energy is enough to operate cutter effectively and efficiently. The test performance of developed cutter shows the remarkable improvements over hand operated forage cutter.
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