DSpace Collection:
http://repository.kln.ac.lk/handle/123456789/17369
2024-03-28T14:52:29ZV-Synch: Rendering Distance a No-issue with the New Feature of Video Synchronization in Existing Multimedia Platforms.
http://repository.kln.ac.lk/handle/123456789/17416
Title: V-Synch: Rendering Distance a No-issue with the New Feature of Video Synchronization in Existing Multimedia Platforms.
Authors: Tiwari, R.; Shakya, S.
Abstract: Social media are computer mediated technologies that allow creating and sharing of information
idea, career interests and other forms of expression via communities and networks. They introduce substantial and pervasive changes to communication between businesses, organizations, communities and individuals. Various features are being introduced in this field with the objective to make it more attractive to users.
“V-Synch” is aimed at introducing features like video and sketch pad synchronization to develop
a full- fledged app that also has the current popular features like internet call and chat. We intend
to make an android application in which users can always stay connected through multiple
platform synchronization (watch the video and use sketch pad in synchronized way in real time)
although they are distance apart. All the devices connected to the group can take control of video
playback. When any user of that group starts, pauses, or performs specific action on a video, the
state of that video is synchronized to all other connected devices in real time. The elements drawn on sketch pad are also shown live in real time to everyone connected to the group. NTP algorithm is used to synchronize all participating devices to within a few milliseconds of Coordinated Universal Time (UTC). The synchronization is correct when both the incoming and outgoing routes between the client and the server have symmetrical nominal delay. V-Synch could be very much beneficial to students for group study, long distance friends to hang out together and Serve a great deal in case of tele-education.2017-01-01T00:00:00ZVirtual Learning – A Popular Learning Method Among Students.
http://repository.kln.ac.lk/handle/123456789/17415
Title: Virtual Learning – A Popular Learning Method Among Students.
Authors: Abeysinghe, A.
Abstract: A virtual learning environment (VLE) or e-learning is a popular method of learning at present. But VLE depends on student acceptance of such kind of programs; if they prefer e-learning or
classroom learning. Though VLE could save time, cost, space and motivate students to learn in a
new dilemma, VLE poses several drawbacks in addition to those experienced by traditional
methods of learning. These include difficulties in adapting to this system of learning, lack of
computer literacy, lack of student motivation as well as technical issues. This trend is prominent,
especially in developing countries where students are still in the process of adapting to a web and
mobile app-based culture of learning. Also, students in developing countries often face problems
of low speed Internet as well as lack of Internet access. Therefore, this research focuses on how
switching from a traditional culture to an Internet-based culture could be achieved and how
distance learning could be promoted in the distant world thus minimizing the digital divide. This
research focused on solving these issues under four main themes: providing foundation on how
websites and mobile apps could be used, providing streaming and caching facilities for slow
Internet connections, creating surveys among students from different demographic, ethnic and
geographic backgrounds and designing courses appropriately and ensuring multilingual course
availability. According to the research, it was found that these solutions could be achieved in the
near future with the advancement of the Internet and new technologies in developing countries. As such, it was inferred that virtual learning could be promoted as a learning method among students in developing countries.2017-01-01T00:00:00ZThe Impact of a Security Culture in Small and Medium Scale Enterprise (SME) on Enterprise Information Security
http://repository.kln.ac.lk/handle/123456789/17414
Title: The Impact of a Security Culture in Small and Medium Scale Enterprise (SME) on Enterprise Information Security
Authors: Pathirana, H.P.A.I.; Karunathilaka, J.A.M.A.
Abstract: An information system is much more than computer hardware; it is the entire set of software,
hardware, data, people, procedures, and networks that make possible the use of information
resources in the enterprise. In current world, the information is stored in the computerised system
in the form of digital data, including sensitive data, which can be extracted as needed. It is much
better than maintaining hard copies in traditional manner by using physical storages. The
information system security is crucially important for a business with that background.
The SME introduces in many forms. Many use the number of employees, capital amount invested, turnover amount, and nature of business. In Sri Lanka, main banks use value of fixed assets as a way to introduce SME, whereas the World Bank uses number of employees as the criteria. Even though enterprises are relatively small and run with a limited budget, SMEs can now target national and international market segments, enabled by the Internet. Therefore, this complicated the business process at SMEs.
The computer security represents confidentiality, integrity and availability (CIA) from the
mainframe-computing era. The rise of the Internet and complex computer systems means that data is now decentralized. As such, the security measures now must extend form the CIA domain to cover additional areas, depicted in the McCumber Cube in three dimensions. This challenges
SME’s to assure information security with a limited operating budget, and there are two
approaches presented by the ‘Sphere of Protection’, focusing on both technology and people
aspects. The technological aspect is expensive, whereas the people aspect is cost effective by
introducing security culture. The policy implementation is the better tool for security culture by
considering business in process level emphasizing laws to acknowledge people on the importance of assuring secure environment, and education and training are important to share the knowledge among employee. This paper explores the need for effective people based security measures for better security culture, before the implementation of technological controls is considered for SMEs.2017-01-01T00:00:00ZStock Market Analysis and Prediction.
http://repository.kln.ac.lk/handle/123456789/17413
Title: Stock Market Analysis and Prediction.
Authors: Shakya, A.; Pokhrel, A.; Bhattarai, A.; Sitikhu, P.; Shakya, S.
Abstract: Stock price and stock index price forecasting system, used by investors and financial managers to describe the market and compare the return on specific investments, has been a topic of research for very long now. When in the stock market, there are more buyers than there are sellers, the price must adapt or no trades are made. This tends to drive the price upwards, increasing the market quotation at which investors can sell their shares, enticing investors who had previously not been interested in selling and vice versa. These demands and supplies are ever changing, resulting in highly-fluctuating, non-linear stock prices which poses a threat against the credibility of those prediction systems which only view the market from one perspective. For a reliable system, it is therefore important to explore the market on multiple grounds, basically through Technical, Fundamental and News Analysis. Under Technical Analysis, SMA (Simple Moving Average) is used as a preliminary data smoothing technique, which helps reduce the fluctuations substantially.
Artificial Neural Networks (ANNs) is then employed to analyze the nonlinear relationships
between the stock closed price and various technical indexes, and to capture the knowledge of
trading signals that are hidden in historical data. Features like traded share, traded volume, opening price, closing price, high price and low price are fed as an input parameter in Neural Network. Backpropagation algorithm is then implemented to train the given Network model. The neural network layers and neuron numbers in hidden layers are then tuned by training and validating the data set iteratively.
The fundamental analysis involves thorough study of financial statements of companies, also
known as quantitative analysis. This involves looking at assets, liabilities, revenue, expenses and
all other financial aspects of a company. It gives insight on the company's future performance. The results moreover reflect the company's success or failure over the long term than immediate future. Hence, unlike technical analysis, it helps predicting stock price on a long run. In news analysis, we focus on understanding the news sentiment and its affects which may cause the investors to either buy or sell the shares based on positivity or negativity of the news. The news analysis problem can be mapped into similarity based classification. A set of vectors are created from analysis of historical news, where each component of a vector represents the features in data set. The required labeling are done based on historical rise/fall of stock prices. The increase or decrease of the trend is then predicted based on similarity measures. In short, news analysis predicts the price of share of the following day by comparing the most recent news with past news using Knearest neighbor algorithm. Thus, through the circumstantial application of the above-mentioned analysis, the paper proposes to predict the stock market in a more generalized manner.2017-01-01T00:00:00Z