Global Journal of Computer Science and Technology (GJCST)
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Strategic Management Theories
Get PDFThe goal of this literature review is to compare and contrast contemporary strategic management theories Additionally the secondary goal is to evaluate the implications for strategic information technology management Management of people is the direct control of human motivation and behavior Human motivation like behavior is complex and a science unto itself Human motivation theory seeks to understand human motivations and therefore understand human behavior to a level such that predictions can be made The study of human motivation has a background or base in physiological behavioral cognitive and social sciences However those existing disciplines are not sufficient alone or combine to study this complex topic The behaviors linked to human motivation are linked to very evolutionarily basic aspects of our biology despite the advanced cognitive abilities of man The ability to predict human motivation and behavior is very important to companies and organizations as they are always seeking new strategies to motivate and respond to the needs of their employee
Improving E-Learning Performance through Social Communications
No full textE-learning is a way of teaching by using modern communication mechanisms of computer networks multimedia of sound image and graphics electronic libraries and search mechanisms as well as Internet portals whether remote or in the classroom The aim is to use all kinds of technology for the delivery of information to the student in the shortest time with less effort and greater benefit In this paper we attempt to solve the problem of isolating or missing social interactions of learner request the professor perhaps not be always involved in the request and the missing of competitions and quality To improve e-learning it is recommended to it with sociality In this paper we used some algorithms such as k-mean algorithm decision-tree algorithm Apriori algorithm course rank algorithm as tools to achieve our goals in finding most suitable friend and most suitable course for the user
Robust Performance and Resistance to Attack for the Advanced Encryption Standard using Dynamic Rotation
Get PDFRecently the Rijndael algorithm has been uniform by the National Institute of Standards and Technology NIST as the Advanced Encryption Standard AES This makes AES a vital and necessary data-protection mechanism for federal agencies in the US and other countries In AES rotation occurs in key expansion ciphering and deciphering Rotation is vital for confusion and diffusion which play an important role in any cryptography technique Confusion and diffusion make breaking the key complex and difficult This paper studies the effect of reconfiguring the structure of AES especially replacing constant rotation with variable rotation The resulting producing another cipher is called Dynamic Rotation for Advanced Encryption Standard DRAES DRAES with variable rotation raises the complexity of the algorithm and thus increases the time consumed for brute-force attacks We measured the diffusion of AES and DRAES algorithms DRAES reached acceptable level of diffusion faster than AE
An Efficient Map Reduce-Based System to find Userlikeness on Social Networks
Get PDFDay to day Social network information growth pursues an exponential pattern and Present DB management systems cannot manage efficiently such a huge volume of data It is essential to employ a big data solution for Social network problems One of the most important problems in Social network is finding User likeness ULi Current methods for finding ULi are not flexible and do not sustain all data sources nor can them accomplish user necessities for a query tool In this paper we propose a reliable and data available method to solve ULi problems over MapReduce design RiDaULi supports storage and retrieval of all kinds of data sources in an appropriate manner The dynamic nature of the proposed method helps users to define conditions on all entered fields Our assessment shows that we can use this method as high confidence in less execution tim
Detecting Sentiments from Movie Reviews by Integrating Reviewers Own Prejudice
Get PDFPresently, sentiment analysis algorithms are widely used to extract positive or negative feedback scores of various objects on the basis of the text/reviews. But, an individual may have a certain degree of biasness towards a certain product/company and hence may not objectively review the object. We try to combat this biasness problem by incorporating the positive and negative bias component in the existing sentiment score of the object. This paper proposes several algorithms for a new system of implementing individual bias in the corpus of data i.e. movie reviews in this case. Each review comment has an unadjusted sentiment score associated with it. This unadjusted score is refined to give an adjusted score using the positive and negative bias score. The bias score is calculated using certain parameters, the weightage of which has been determined by conducting a survey. We lay emphasis on the degree of biasness an individual has towards or against the review parameters for the movie reviews corpus namely actor, director and genre. We equip the system with the capability to handle various scenarios like positive inclination of the user, negative inclination of the user, presence of both positive and negative inclination of the user and neutral attitude of the user by implementing the formulae we developed
Detection and Counter Measure of AL-DDoS Attacks in Web Traffic
Get PDFDistributed Denial-of-Service (DDoS) assaults are a developing danger crosswise over Internet, disturbing access to Information and administrations. Presently days, these assaults are focusing on the application layer. Aggressors are utilizing systems that are exceptionally hard to recognize and relieve. In this task propose another technique to recognize AL-DDoS assaults. This work separates itself from past techniques by considering AL-DDoS assault location in overwhelming spine activity. In addition, the identification of AL-DDoS assaults is effectively deceived by glimmer group movement. By analyzing the entropy of AL-DDoS assaults and glimmer swarms, these model output be utilized to perceive the genuine AL-DDoS assaults. With a quick AL-DDoS identification speed, the channel is equipped for letting the real demands through yet the assault movement is halted
A Cross Layer Model to Support QoS for Multimedia Applications on Wireless Networks
Get PDFSupporting multimedia application over wireless networks poses multiple challenges. Currently the use of cross layer architectures and Scalable Video Coding ( ) techniques are considered to support multimedia applications. The current architectures fail to address the tradeoff that exists between the end to end delay and the Quality of Service ( ) provisioning of the video data to be delivered. To address this issue this paper introduces the improvement scheme in video transmission model based on a cross layer architecture. A novel encoding of the SVC video is considered in the proposed model. Based on the physical layer conditions and the achievable the model adapts to meet the stringent delay requirements of video delivery. Routing layer optimization is achieved by accounting for the pending packets queues in every neighboring node. The experimental study conducted prove the robustness of the proposed model by comparing with the existing schemes. Comparisons in terms of the transmission error rates, system utility and quality of reconstruction are presented
Moving Object Tracking using Color Feature in a Video
Get PDFVideo processing is one of the most challenging areas in image processing. It deals with identifying an object of interest. Motion detection has been used in many fields either directly or indirectly. In this paper an efficient approach to motion detection in video sequence using color feature extraction operator. Using this approach we improve the background subtraction and detecting the moving object with greater accuracy. In this paper, background modeling is done in order to make the update of background due to light illumination and change in the weather condition. Foreground detection is done before updating the background model. Color feature extraction is done in order to avoid the dynamic background such as moving leaves, rain, snow, rippling water
How to Successfully Implement a Corporate Taxonomy
Get PDFPurpose: The purpose of this paper is to develop a methodology to follow while implementing a corporate taxonomy. Design/methodology/approach: The presented results are grounded in both academic literature on taxonomy and qualitative data from two departments within the same organization that implemented separate taxonomy structures. Findings: The study identifies ten factors to consider when implementing a corporate taxonomy as well as a defined nine step process to implement when implementing a successful corporate taxonomy. Research limitations/implications: The scope of the literature review and the case study were both limited as finding multiple taxonomy experts in one organization is rare, the account of the research is not considered exhaustive. The paper can assist practioners in a high level approach to implementing a corporate taxonomy as well as things to invoke to increase the chances of a successful implementation
Selection of Online News for Competitive Intelligence: Use of Business Domain Ontology for Internet Search Semantic Query Expansion
Get PDFThe Internet provides ever increasing volumes of news and information about the environment in which companies operate. This can lead to information overload, in which the volume of information available overwhelms the processing power of the user. Methods and tools that help separate potentially useful information from irrelevant information need to be developed. This research applied design research to investigate the development of a tool to help users refine internet searches on competitive intelligence. It used modeling of the target business area in the form of anontology to aid the formulation of search terms through interactive semantic expansion of the keywords entered by users