2,291 research outputs found

    Hard Combination Data Fusion for Cooperative Spectrum Sensing in Cognitive Radio

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    This paper presents a study of hard combination data fusion for cooperative spectrum sensing in Cognitive Radio (CR). We evaluated the performance of cooperative spectrum sensing with the hard combination OR, AND and MAJORITY rules. Energy detection technique is used to sense the presence of primary user (PU) signal. Simulation result shows that cooperative spectrum sensing with OR rule is the best among hard combination data fusion in Cognitive Radio and gives the better performance than AND and MAJORITY rules.DOI:http://dx.doi.org/10.11591/ijece.v2i6.181

    Performance Evaluation of Ad Hoc Network over Moving Vehicles in a City

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    A mobile ad hoc network (MANET) is a collection of wireless mobile nodes that can dynamically form a temporary network without the aid of any existing network infrastructure. Wireless connectivity on vehicles is an important mode of communication. It is more challenging to provide high-bandwidth networking over fast moving vehicles. Ad Hoc network can be formed on fast moving vehicles where the interior node acts as rely node. A dynamic routing protocol is needed for a node to exchange data with another. In this research work, we consider the traffic density of a typical district town where traffic density much lower than a metropolitan city and vehicle speed is regulated according to traffic law. We have studied two routing protocols AODV and DSR in city traffic. According to our study, AODV shows performance than DSR on city roa

    Measuring the Impact of Knowledge Management, Leadership, Employee Commitment, and Employee Engagement on the HEIs Sustainability in Iraq

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    This paper aims to emphasize how the behavioural factors offered at Iraqi higher education institutions can influence sustainability performance. The conclusions are based on a pilot questionnaire conducted by the authors on the level of Iraqi academics in public universities. A sample of 100 respondents served as the basis for the results. Based on Cronbach's alpha coefficient test, the results show that all of the measures above the 0.70 benchmark and had high reliability coefficients that varied from 0.80 to 0.96 with no appreciable variation of skewness values from zero. The study's findings also showed that sustainability performance was highly influenced by knowledge management, leadership, employee commitment, and employee engagement. The study confirmed the effectiveness of the instrument used to analyze various particular predicators of HEI sustainability in Iraq. This model is promising since it demonstrates an increase in behavioral variance in an explanatory manner. Keywords: Sustainability Performance, Behavioural Factors, Higher Education, Academics, Iraq DOI: 10.7176/EJBM/15-16-07 Publication date:September 30th 202

    Production of lipopeptide biosurfactant by Kurthia gibsonii KH2 and their synergistic action in biodecolourisation of textile wastewater

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    Textile dyes are recalcitrant molecules and contain a high level of chemicals and colour which poses a serious challenge to surrounding environments. Therefore, this study aims to produce biosurfactant and investigate the synergistic action on decolourisation of textile dyes by the combination of bacteria and biosurfactant. An effective dye degrading strain and biosurfactant-producer, Kurthia gibsonii KH2, was isolated from textile wastewater using molasses as the only source of carbon and energy. The isolates were identified and screened for biosurfactant production using haemolytic activity, oil spreading technique, drop collapse test and emulsification index. Fourier Transform Infrared Spectrum (FTIR) and Thin Layer Chromatography (TLC) analyses were carried out to detect the type of biosurfactant. The effect of different physicochemical parameters on textile wastewater decolourisation was assessed within 24 h. The Kurthia gibsonii KH2 showed positive results for haemolytic activity, oil spreading technique, and drop collapse test. The emulsification test (E24) revealed that Kurthia gibsonii KH2 had a higher emulsification index of 63%. FTIR and TLC analyses indicated that the biosurfactant was a lipopeptide and was formed with a yield of 2 gL−1. The synergistic activity of Kurthia gibsonii KH2 and lipopeptide biosurfactant resulted in decolourisation levels of 85% at 100 mg/L concentration and pH 7 was recorded at 168 h of incubation. The high attributes of these combinations and the phytotoxicity tests implied that the metabolites were less toxic, making it a promising option for the biodecolourisation and biodegradation of industrial textile wastewater and various environmental conditions

    Simulation of Diagonal Data Replication in Mesh

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    In a large dynamic network, data can be copied anywhere to make it fault tolerant and easy accessed but there must be an efficient protocol to manage the replicas and make sure the data is consistent and high in availability with a low communication cost.In this paper, we introduced a new protocol, named Diagonal Replication in Mesh (DRM) for data replica control protocol for a large dynamic network by using quorum and voting techniques to improve the availability and the communication cost because quorum techniques reduce the number of copies involved in reading or writing data.The protocol of DRM replicates data for large dynamic network by putting the protocol in a logical mesh structure and access consistent data by ensuring the quorum not to have a nonempty intersection quorum.To evaluate our protocol, we developed a simulation model in Java.Our results proved that DRM improves the performance of the response time compare to Three Dimensional Grid structure Protocol (TDGS)

    THE IMPACT OF PANDEMIC COVID-19 ON THE ACTIVISM, FINANCIAL AND DIGITAL WELL BEING OF MOSQUE INSTITUTION

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    The pandemic driven Movement Control Order (MCO) caused pain to mosque institutins in terms of activities, financial and digital. As the pandemic Covid-19 hit the country in early 2020, mosques were closed, number of congregation reduced, Friday and tarawih prayers were postponed, sadaqah collection dropped, and lesser knowledge based activities or Islamic teachings programmes were recorded due to social distancing order as the authority intended to stop the lethal virus transmission. In certain circumstances, social gathering activities were permitted at mosque; however, with a strict permission and stringent standard operating procedures. Coupled with lack of digital literacy, skills and equipment, as well as insufficient financial resources, mosque's engagement and visibility with larger societal members were also unfavourably impacted. Consequently, mosque institution is not able to carry out its function effectively as a centre of knowledge, centre of economy, and centre of community engagement. The research aims to explain the impact of pandemic Covid-19 towards mosque institutionn. Specifically, this conceptual paper discusses the implication of pandemic Covid-19 on activism, financial and digital well-being of mosques. It explores initial publications like academic articles, news, reports, and ministerial statements about the issue. The findings indicated the impact of pandemic Covid-19 towards mosque institutions’ well-being in the three areas i.e. activism, financial, and digital, and the response of mosques’ leadership and Muslim community. The study offers conceptual discussion, and generalisation take place cautiously. The value of the research embedded in its intention to assess the impact of pandemic Covid-19 on mosque institutions from three different dimensions namely activism, financial and digital. Moreover, the findings shall enhance the preparedness of mosque institution in those three areas to brace future shock. The findings also shall support the aspiration of SDG 16 in preparing mosque as a peace, justice and strong institution for community

    Firm’s technological capabilities towards technology transfer performance in Malaysian manufacturing companies: The antecedents that lead to successful development of firm’s technological capabilities

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    Drawing upon Resource-Based View (RBV) theory, this research investigates the effect of technological capabilities on the performance of technology transfer activities in Malaysian manufacturing firms. This research also empirically examines the antecedents that lead to the development of a firm’s technological capabilities. The data were obtained from 133 manufacturing companies in Malaysia by means of questionnaires. As predicted, the results indicated that the firm’s technological capabilities significantly related to technology transfer performance and all the antecedents are chosen positively influenced the firm’s technological capabilities development

    Decentralized replication strategies for P2P based scientific data grid

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    Scientific Data Grid provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets and it mostly deals with large computational problems. Research in the area of grid has given various ideas and solutions to address these requirements. However, since the number of participants (scientists and institutes) that involve in this kind of environment is increasing tremendously, scalability, availability and reliability have been the core problem for such system. Peer-to-peer (P2P) is one of the architecture that promising scale and dynamism environment. In this paper, we present a P2P model for Scientific Data Grid that utilizes the P2P services to address those problems. For the purpose of this study, we have developed and used our own data grid simulation written using PARSEC. In this paper, we illustrate our P2P Scientific Data Grid model, our data grid simulation and the design of proposed data replication strategies. We then analyze the performance of data discovery service with and without the existence of replication strategies relative to their success rates, response time, average number of hop and bandwidth consumption. The results from simulation study that show how the proposed replication strategies promote high data availability in the proposed Scientific Data Grid model and how these strategies improve the discovery process are presented

    Contributing factor to business continuity management (BCM) failure - A case of Malaysia public sector

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    As Malaysia is focusing on building a knowledge-based economy and becoming more dependent on IT in the information age, the need to ensure business continuity in the event of crisis or disaster becomes more important than ever.All public organizations are urged to prepare their BCM to ensure that operations continue swiftly after the unintended event.However, recent studies showed that the frequency of service disruptions is quite alarming even though there is BCM in place. Thus, this study investigates the current practice of BCM and the contributing factors, namely organizations, people, process and technology to the failure of BCM implementation in Malaysia’s public service. The study was undertaken using questionnaires whereby 195 IT people participated in the study.The selected agencies are Frontline agencies and have implemented BCM.Findings showed that organization, people, process, and technology are significantly correlated with BCM failure in the Malaysian Public Sector.The empirical results reveal that process is the key factors contribute to the BCM failure followed humans, technology and organization policy, culture and structure.However, the current BCM approach is more toward technology oriented and only involves the IT department.BCM implementation should involve all levels of the organization and cover all related critical business process.The results of this study have two implications: first, is the discovery of the factor that contribute to the BCM failure and second, the results of this study prioritized the factor that contributes to the BCM failure.This is an important finding because; it enables public sector agencies, planned and implements improvements as needed and at the appropriate rate for each BCM failure factor
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