Global Journal of Computer Science and Technology (GJCST)
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An Agent-based Grouping Strategy for Federated Grid Computing
Get PDFCharacterizing users based on their requirements and forming groups among providers accordingly to deliver them the stronger quality of service is a challenge for federated grid community Federated grid computing allows providers to behave cooperatively to ensure required utility by users Grouping grid providers under such an environment thus enhance the possibility of more jobs executed whereas a single provider or organization might not be able to do the same In this paper we propose an agent-based iterative Contract Net Protocol which supports in building federated grid via negotiating distributed providers The main focus of this paper is to minimize the number of iterations using a grouping mechanism Minimizing the number of iterations would produce less communication overhead which results in the minimum queue waiting time for users to publish their jobs Simulation results further ensure the feasibility of our approach in terms of profit and resource utilization compared to that of the traditional non-grouped marke
An Extended Linked Clustering Algorithms for Spatial Data Sets
No full textSpatial data mining techniques and for the most part conveyed clustering are broadly utilized as a part of the most recent decade since they manage huge and differing datasets which can t be assembled midway Current disseminated clustering approaches are typically producing universal models by amassing neighborhood outcomes that are acquired on every region While this approach mines the data collections on their areas the accumulation stage is more perplexing which may deliver inaccurate and equivocal all universal clusters and in this manner mistaken learning In this paper we propose an Extended Linked clustering approach for each huge spatial data collections that are assorted and appropriated The approach in view of K-means algorithm yet it produces the quantity of all universal clusters progressively In addition this approach utilizes an explained collection stage The conglomerations stage is outlined in such way that the general procedure is proficient in time and memory assignment Preliminary outcomes demonstrate that the proposed approach delivers excellent outcomes and scales up well We likewise contrasted it with two prominent clustering algorithms and demonstrate that this approach is substantially more proficien
Level of Satisfaction using Moodle as an E-Learning Tool for Students in B-School
Get PDFThis study is to find the level of satisfaction using Moodle as an E-Learning Tool for Students in B-School. As Moodle being free open source software there are many institutes using Moodle as their e-learning platform to run and execute their courses, to interact with students and faculty members. Moodle is being used for conducting on-line test, feedback submission, assignment submission, class schedul
Video Recommendation System for YouTube Considering Users Feedback
Get PDFYoutube is the most video sharing and viewing platform in the world. As there are many people of different tastes, hundreds of categories of videos can be found on YouTube while thousands of videos of each. So, when the site recommends videos for a user it takes some issues which fill the needs of the user. Most of the time a user watches videos related to the previously watched video. But sometimes userFFFD;s mood changes with time or weather. A user may not hear a song in the whole year but can search the song on a rainy day. Another case a user may watch some types of videos at day but another type of videos at night or another at midnight. In this paper, we propose a recommendation system considering some attributes like weather, time, month to understand the dynamic mood of a user. Each attribute is assigned a weight calculated by performing a survey on some YouTube users. Most recently viewed videos is assigned heavy weight and weather is assigned lower. This recommendation system will make YouTube more user-friendly, dynamic and acceptable
The Impact of OTT Services in Nigeria: Regulators, Operators and Customers Perspective
Get PDFAdvancement in the field of Information Communication Technology (ICT) has led to creation of new technologies, one of such is Over-The-Top technology. This new technology offers low-cost delivery of digital information content and services which includes VoIP services, instant messaging services and so on to consumers. The Over-TheTop services do not have a network system of their own but instead rely on of telecommunication operator networks and other Internet Service providers for the delivery of their services, without any policy or lease agreement with these operators. This work focuses on considering the perspectives of the regulatory board, the telecommunication operators and the consumer has it relates to this technology. We also analyse the impact of the Over the Top technology has on the Nigerian economy also
Eye Shaped MIMO Antenna for ULTRAWIDEBAND Applications
Get PDFA totally distinctive MIMO sharp band-notched antenna with high isolation for UWB applications is given. The antenna consists of two antenna elements with an overall space. A shaped stub is extruded among the bottom plane to enhance isolation associated with a shaped stub to introduce band-notched. The designed antenna possesses an occasional mutual coupling over the operative band. The performance of this antenna is studied in terms of isolation between the 2 ports, pattern, efficiency, realized gain, and envelope correlation coefficient
Prevalence of Bovine Fasciolosis and Its Economic Significance at Robe Municipal Abattoir
Get PDFA cross-sectional study was conducted to determine the abattoir prevalence of bovine fasciolosis and its economic importance in Robe Municipal Abattoir A total of 502 cattle were randomly sampled and examined after slaughter Out of 502 cattle examined at post mortem 68 72 345 were positive for fasciolosis The prevalence of bovine fasciolosis was found to be significantly affected P 0 05 by the age of animal in which young animals were affected than adult animals The prevalence of bovine fasciolosis was also higher P 0 05 in poor body conditioned animals than good body conditioned animals Sex of the animal was not found as a significant factor p 0 05 affecting the prevalence of disease The prevalence of Fasciola hepatica was 238 68 98 which was predominant among Fasciola species causing bovine fasciolosis in the study areas Whereas the prevalence of Fasciola gigantica was 107 31 02 The economic significance of bovine fasciolosis was also assessed based on condemned livers Thus based on retail value of bovine liver the direct economic loss from fasciolosis during the study time was estimated to be 164 880 ETBannuall
A Novel Survey Analysis on Energy-Aware Routing Protocols for Manet Applications
Get PDFMANET system applications in today situation consumes larger amounts of energy this energy becomes an important parameter and scarce resource in MANETS This energy consumption has to be reduced and harvested in the communication devices for efficient usage of energy and power Different energy aware and harvesting strategies have been devised using various protocols to achieve the reduction and minimised usage of the available energy and power resources This paper surveys and illustrates the differences of various Energy aware Routing Protocol used in MANETS based on the matrices used These protocols provide some awareness in optimizing the Energy and Power Resources and limit the consumption when nodes are idle This intern increases the life time of the node and improves the performance widely investigating the energy efficiency protocols for adhoc infrastructure less MANET environmen
An Analysis of Emotion and User Behavior for Context-aware Recommendation Systems using Pre-filtering and Tensor Factorization Techniques
No full textThe emotion-based context-aware recommendation systems have been widely adapted by a wide variety of recommendation domains despite the fact only a few studies have been analyzed in tourist destination recommendations. To utilize the concept of user emotion and incorporate it into the recommendation process along with user behavior, we proposed a travel destination recommendation system. Also, we compare and clarify the effectiveness of using emotion and user behavior in the recommendation process by suggesting a framework based on two techniques: filtering and contextual modeling. For the filtering based approach, we used Prefiltering, and for the contextual modeling, we employed Tensor Factorization. Both these approaches performed excellently with the selected contexts in the proposed framework, and the results of the Tensor Factorization approach proved to be highly effective in tourist destination recommendation compared to other Pre-filtering
Secured Audio Signal Transmission in 5G Compatible mmWave Massive MIMO FBMC System with Implementation of Audio-to-image Transformation Aided Encryption Scheme
Get PDFIn this paper, we have made comprehensive study for the performance evaluation of mmWave massive MIMO FBMC wireless communication system. The 165F2;56 large MIMO antenna configured simulated system under investigation incorporates three modern channel coding (Turbo, LDPC and (3, 2) SPC, higher order digital modulation (256-QAM)) and various signal detection (Q-Less QR, Lattice Reduction(LR) based Zero-forcing(ZF), Lattice Reduction (LR) based ZF-SIC and Complex-valued LLL(CLLL) algorithm implemented ZF-SIC) schemes. An audio to image conversion aided chaos-based physical layer security scheme has also been implemented in such study. On considering transmission of encrypted audio signal in a hostile fading channel, it is noticeable from MATLAB based simulation study that the LDPC Channel encoded system is very much robust and effective in retrieving color image under utilization of Lattice Reduction(LR) based ZF-SIC signal detection and 16- QAM digital modulation techniques