Global Journal of Computer Science and Technology (GJCST)
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University Students Use of WhatsApp and their Perceptions Regarding its Possible Integration into their Education
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Fast Stereo Images Compression Method based on Wavelet Transform and Two Dimensional Logarithmic (TDL) Algorithm
Get PDFIn this paper, a fast stereo images compression method has been proposed. In proposed method, Firstly, stereo images were transformed using Discrete Wavelet Transform (DWT) in order to reduce computation time. The disparities between these images were estimated by Two Dimensional Logarithmic (TDL) algorithm. The result of the Motion Vector (MV) was encoded into a bit stream by Huffman encoding while the remaining part is compressed like the compression that is used in still image. The proposed method produced good results in terms of Peak Signal-to-Noise Ratio (PSNR), CR, and computation time
Illustration of IOT with Big Data Analytics
Get PDFInternet Of Things(IOT) is the way of connecting devices using sensors and monitored by internet.But the data produced by the IOT is growing rapidly because of the large scale development of various applications.As the data is turned and crossed over terabytes and leading to petabytes,there should be a solution to manage the ove
Inverse Linear Regression in Machine Learning
Get PDFA linear regression machine learning model derives the linear relationship between single or multiple features (put in the x-axis of a co-ordinate plane) and a single response (put in the y-axis of the co-ordinate plane) for a given set of observations. The model then learns to predict the response for a set of new feature values using the derived relationship. However, the linear regression model does not have the flexibility to predict the feature values for a target response. The solution proposed in this paper can leverage the relationship derived by the linear regre
A Survey on Bandwidth Management Techniques Via the OSI Model Network and Application Layers
Get PDFNowadays, virtually all the basic aspects of human endeavor is computer and network dependent. Therefore bandwidth being one of the most valued resource and component of any network must be properly managed to yield a reliable performance. Over the years, different algorithms, models, techniques and applications have been developed for network and bandwidth management yet bandwidth problems has persistently remained on the increase. This work is an in-depth survey on the causes of bandwidth problems, the basic models and techniques for bandwidth management and is followed by an analysis which is aimed at yielding meaningful suggestions on how a better technique or method for securing an efficient and improved bandwidth management solution using the application layer of the OSI network model can be achieved
Effort Expectancy, Performance Expectancy, Social Influence and Facilitating Conditions as Predictors of Behavioural Intentions to Use ATMs with Fingerprint Authentication in Ugandan Banks
Get PDFThe purpose of this study was to examine the relationship between Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions and Behavioural intentions to use fingerprint biometrics authentication for ATMs. However much developed countries have adopted and used fingerprint biometrics authentication for ATMs, it is still ignored in undeveloped countries in particular thus the motivation for the study. A cross sectional field survey methodology was used to collect data from 211 ATM users. Quantitative data was collected using self-administered questionnaires from four banks; KCB, Barclays Banks, Stanbic Bank and Centenary Bank from Kampala City in Uganda. The Questionnaire was tested for validity and reliability found out to be valid with CVI above 0.7 and reliable (cronbach alpha0.6), the data collected was analysed using SPSS. The study used descriptive statistics to examine the relationships. Correlation and regression analysis were also used to determine the relationships between the study variables. The findings of the study indicated that there are significant positive relationships between Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions and Behavioural intentions to use ATMs with fingerprint authentication. Therefore Effort Expectancy, Performance Expectancy, Social Influence and Facilitating conditions are predictors of Behavioural Intentions to Use ATMs with Fingerprint Authentication in Ugandan Banks. The researchers made recommendations that banks should sensitize customers about the benefits of fingerprint biometrics authentication for ATMs, should ensure they implement systems that are secure, easy to use and reliable
Color Image Segmentation using Automated K-Means clustering with RGB and HSV Color Spaces
Get PDFSegmentation implies the division of an image into different objects or connected regions that do not overlap Though extensive research has been done in creating many different approaches and algorithms for image segmentation however it is still not very clear to assess whether one algorithm produces more accurate segmentations than another whether it be for a particular image or set of images or more generally for a whole class of images 7 A reliable and accurate segmentation of an image is in general very difficult to achieve by purely automatic means Present researches on image segmentation using clustering algorithms reveals that K-means clustering algorithm so far produces best results but some improvements can be made to improve the results The biggest disadvantage of our heavy usage of k-means clustering is that it means we would have to think of a k each time which really doesn t make too much sense because we would like to algorithm to solve this on his own Therefore we tried to find the K automatically and so create segmentation without any human giving hints to the algorithm So we tried to make the process automatic In this paper the combined segmentation of RGB and HSV color spaces give more accurate segmentation result compared to segmentation of single color space For keeping the k parameter as small as possible we had to keep different intensity levels of the same color on the same segment to estimate the right k automatically for the algorith
Technological Methods Analysis in the Field of Exaflops Supercomputers Development Approaching
Get PDFIn this article authors describe new supercomputing developing roadmaps illustrate how to solve Moore s Law problem Authors show two different ways of creating new high-productive clusters evaluative and revolutionary There are new era so-called Post Moore It means specialists all over the World should together in collaboration create new electronic components architecture principles design criteria and et
A Neuro Fuzzy Algorithm to Compute Software Effort Estimation
Get PDFSoftware Effort Estimation is highly important and considered to be a primary activity in software project management The accurate estimates are conducted in the development of business case in the earlier stages of project management This accurate prediction helps the investors and customers to identify the total investment and schedule of the project The project developers define process to estimate the effort more accurately with the available mythologies using the attributes of the project The algorithmic estimation models are very simple and reliable but not so accurate The categorical datasets cannot be estimated using the existing techniques Also the attributes of effort estimation are measured in linguistic values which may leads to confusion This paper looks in to the accuracy and reliability of a non-algorithmic approach based on adaptive neuro fuzzy logic in the problem of effort estimation The performance of the proposed method demonstrates that there is a accurate substantiation of the outcomes with the dataset collected from various projects The results were compared for its accuracy using MRE and MMRE as the metrics The research idea in the proposed model for effort estimation is based on project domain and attribute which incorporates the model with more competence in augmenting the crux of neural network to exhibit the advances in software estimatio