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Search Results: 1 - 10 of 325593 matches for " Benedict S "
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Scheduling of Scientific Workflows Using Evolutionary and Threshold Accepting Algorithm for Grids
S. Benedict,V. Vasudevan
Asian Journal of Information Technology , 2012,
Abstract: Grid computing environment involves all kind of resources namely network, software, data, storage and processing units, evolving towards Global computing to solve a single large problem using Grid scheduling architecture that addresses the interaction between the resource management and data management. In this study, two different approaches have been proposed to solve Grid scheduling problem with the objectives of maximizing the Job Completion Ratio (JCR) and minimizing the lateness. A population based evolutionary algorithm that involves evolution during the search process and a single point local search meta-heuristics that work on a single solution called as hybrid evolutionary algorithm. A Threshold Accepting algorithm (TA) proposed is a single point local search meta-heuristic. Proposed algorithms are evaluated and the experimental results are presented for comparison.
Users’ Perceptions on Drinking Water Quality and Household Water Treatment and Storage in Small Towns in Northwestern Tanzania  [PDF]
Zacharia S. Masanyiwa, Innocent J. E. Zilihona, Benedict M. Kilobe
Open Journal of Social Sciences (JSS) , 2019, DOI: 10.4236/jss.2019.71003
Abstract: Despite recent progress in increasing the world’s population with sustainable access to safe drinking water, hundreds of millions still rely on unimproved sources. To improve the quality of drinking water, various household water treatment and safe storage methods have been developed, adopted and promoted as alternative interventions. However, there is paucity of information regarding drinking water quality and prevalence of HWTS practices especially from the users’ perspectives in Tanzania. This paper examines users’ perceptions on drinking water quality and household water treatment and storage practices in the selected towns of Misungwi, Magu and Lamadi in Northwestern Tanzania. The specific objectives of the study were 1) to examine users’ perceptions on drinking water quality, and 2) to identify household water treatment and storage methods used in the study towns. The paper is based on empirical primary and secondary data collected from 417 households, through survey, key informant interviews, observation and documentary review, and analysed for descriptive statistics, chi-square tests and qualitative content analysis. The study found that water supply coverage in the study towns was generally low. Households drew water from various sources, including ones which were not suitable for drinking. This necessitated households to improve the quality of their drinking water through HWTS practices. Although a combination of adequate and inadequate treatment methods was used to improve water quality and aesthetics, prevalence of HWT practices was generally low. Similarly, safe storage was rarely practiced. Therefore, interventions aimed at improving access to domestic water supply should also incorporate elements of water treatment and safe storage at the point of use to contribute to improved health outcomes.
Scheduling of Scientific Workflows Using Simulated Annealing Algorithm for Computational Grids
S. Benedict,V.Vasudevan
International Journal of Soft Computing , 2012,
Abstract: The Grid has emerged as an attractive platform to tackle various large scale problems, especially in science and engineering. The objective of this study is to generate an optimal schedule and evaluate heuristic algorithm namely Simulated Annealing (SA) with other scheduling algorithms for data intensive grid applications that maximizes Job completion ratio and minimizes lateness in job completion. The 2 objectives are aimed at achieving simultaneously by the scheduling mechanism. In addition, to create neighborhoods for simulated annealing, 3 Perturbation schemes, viz. pair wise exchange, insertion and random insertion perturbation are used. The results pinpoints that the proposed Simulated Annealing search mechanism performs well compared to other scheduling mechanisms on considering the workflow execution time within the deadline and lateness of individual workflows.
Knowledge-Based Entrepreneurship and Globalization: Correlates for the Wealth of Nations and Perspectives from Nigeria  [PDF]
Paul T. Akuhwa, Cephas A. Gbande, Benedict S. Akorga, Zachariah S. Adye
Open Journal of Applied Sciences (OJAppS) , 2015, DOI: 10.4236/ojapps.2015.58046
Abstract: Though Knowledge based entrepreneurship (KBE) is yet an evolving concept and globalization is without an acceptable concept globally, their tenets represent sound methods and strategies for socioeconomic development. Inextricably, KBE and globalization phenomena could be seen as mutually exclusive and collectively exhaustive in exploiting socioeconomic development capital. In this paper, the authors investigated and found out that the defining role of both KBE and globalization was to relate as correlates for the wealth of nations, and also was in an invaluable relationship. KBE is defined as variables that engender innovation, creativity, entrepreneurial culture and orientation with science and technology to underpin optima value creation. These include measurable inputs such as micro, small and medium enterprises (MSME) performance and literacy rates at a given time period in the economy. Globalization on the other hand is a multifaceted, multidisciplinary and complex phenomenon that is proxy on economic, political and social globalization indexes, and internet penetration at a given time period in the same economy. This paper tested two hypotheses to prove the construct that KBE and globalization were correlates for wealth of nations with very significant results using secondary data. Research triangulation was also performed to pragmatically prove the results using primary data. Both meta-analyses were conducted using IBM SPSS 21 software on the main model, the multiple regression, a confirmatory model and the chi-square. Finally, the paper called for policy for improving training and education of science and technology content to the entrepreneurs, while taking a 360 degrees approach to promote and intensify globalization practices in Nigeria, and by extension, to other global economies.
Plankton- Based Assessment of the Trophic State of Three Tropical Lakes  [PDF]
Benedict Obeten Offem, Ezekiel Olatunji Ayotunde, Gabriel Ujong Ikpi, F. B. Ada, S. N. Ochang
Journal of Environmental Protection (JEP) , 2011, DOI: 10.4236/jep.2011.23034
Abstract: In developing countries, lakes being important sources of water supply and fishing are vulnerable to anthropogenic impact, yet knowledge of their trophic state in relation to changes in species composition, and environmental variables, are limited. This study is aimed at assessing the trophic status of lakes by monthly sampling of three lakes located along the floodplain of Cross River, Nigeria between January 2008 and December 2009. Samples were analyzed for water quality parameters, zooplankton and phytoplankton composition and distribution. Results were subjected to community structure analysis using trophic state index, species richness and diversity indexes. Essential primary productivity nutrients, nitrates, sulphates and phosphates were highest in Ejagham Lake, and lowest in Ikot Okpora Lake. Dominant phytoplankton species Oscillatoria lacustria (Cyanophyceae), Cyclotella operculata (Bacilliarophyceae) and zooplankton Keratella tropica, Keratella quadrata, Filinia longiseta, Branchionus anguillaris and Trichocerca pusilla (rotifers) all typical of eutrophic communities were recorded in high densities in Ejagham Lake in both dry and wet seasons while Cladocerans, Bosmina longirostris and Moina micrura and copepods considered indicators of oligotrophy and mesotrophy were recorded in large numbers in Ikot Okpora and Obubra Lakes respectively. Higher values of species richness, Evenness and Shannon-Wiener diversity index for both phytoplankton and zooplankton, were recorded in Ejagham Lake during the dry season than wet. Also values of the Trophic state index were generally highest at the Ejagham Lake in the savanna region of the floodplain and lowest at Ikot Okpora in the forest region of the floodplain. Forest region is therefore a limiting factor in the productivity of lakes in the tropics.
Storage time effect on blood diet for tsetse mass production in sterile insect technique
M. Byamungu, S. Matembo, K. Benedict & G. Mashenga
Journal of Vector Borne Diseases , 2011,
Abstract: Background & objectives: Different methods have been developed for tsetse and trypanosomiasis control oreradication but all these have their specific advantages and limitations. However, a combination of methodscould be used as part of an Area-wide Integrated Pest Management (AWPM). The sterile insect technique(SIT) as a technique of choice for eradication of tsetse flies requires mass production of flies in the laboratories.Since tsetses are exclusively haemotophogous insects, a quality blood diet is needed for maintenance of flieswith optimum production. The aim of this study was to establish the optimum storage time of blood diet fortsetse colonies.Methods: A total of 450 flies Glossina austeni were fed on different batches of blood (collected in 2004, 2005,2006, 2007 and 2008) three times a week. Pupae were collected daily and mortality checks were done onweekly basis. The quality of the blood diet was measured by observation of tsetse production parametersincluding survival, pupae production and size.Results: The survival of flies fed on 2004 and 2006 batches had lower survival compared to the rest of thebatches. Also the 2005 batch had a significant higher number of pupae compared to the production in othertreatments. The 2004 and 2005 batches had more of small pupae (class A & B) compared to the other batches.Interpretation & conclusion: There was a significant difference between the blood batches and the productionparameters were better in the last three years, i.e. 2008, 2007 and 2006. Therefore, this study recommendsthree years to be an optimum storage time for blood diet under regional conditions. Also the storage temperatureconditions should remain stable at –20oC.
The effect of dynamical Bloch oscillations on optical-field-induced current in a wide gap dielectric
Peter Foldi,Mihaly G. Benedict,Vladislav S. Yakovlev
Physics , 2012, DOI: 10.1088/1367-2630/15/6/063019
Abstract: We consider the motion of charge carriers in a bulk wide-gap dielectric interacting with a few-cycle laser pulse. A semiclassical model based on Bloch equations is applied to describe the emerging time-dependent macroscopic currents for laser intensities approaching the damage threshold. At such laser intensities, electrons can reach edges of the first Brillouin zone even for electron-phonon scattering rates as high as those known for SiO_2. We find that, whenever this happens, Brag-like reflections of electron waves, also known as Bloch oscillations, affect the dependence of the charge displaced by the laser pulse on its carrier-envelope phase.
Pharmacological Isolation of Experimental Models of Drug-resistant Hepatocellular Carcinoma Cell Line  [PDF]
Benedict Onyekachi Odii, Peter Coussons
Journal of Cancer Therapy (JCT) , 2012, DOI: 10.4236/jct.2012.34031
Abstract: Drug resistance is one of the major challenges facing the success of chemotherapy against human hepatocarcinoma (HCC) as well as other types of cancer. Studies with cell lines can serve as initial screening for agents that could modulate drug resistance. Development of a good experimental model of drug-resistant cells is a prerequisite for the success of such cellular studies; but could be laborious and generally time-consuming. Additionally, the high mortality rate associated with advanced HCC calls for a probe into the mechanism of resistance by developing experimental model that mimics clinical method of its treatment. Consequently, we have reported a simplified method of selection of drug-resistant hepatocarcinoma cells from human hepatocellular carcinoma (HEPG2) cell line using pharmacologic agents, cisplatin (CDDP) and 5-fluorouracil (5-FU). HEPG2 cell line was incubated for 24 hours with different concentrations of CDDP (0 - 20 μM) or 5-FU (0 - 100 μM). Cell viability was assayed by CCK-8 (Cell Counting Kit) analysis, and the inhibitory concentrations (IC50) for CDDP and 5-FU were established by dose-dependent cytotoxicity curves. The IC50(s) were confirmed by flow cytometric analysis of cell death due to CDDP or 5-FU. Clinical method of treatment was imitated by treating the parental HEPG2 cell line in pulse, at the optimal concentration of either CDDP or 5-FU for 4 to 6 hours. Induction was repeated 6 times, whilst allowing the cells to attain at least 70% confluence between intervals of induction. The resultant drug-resistant sublines, (HEPG2CR) and (HEPG2FR) were found to be stable after over 3 months of drug withdrawal and maintenance in drug-free medium. This was done with the views of establishing a simple, efficient and direct protocol for the development of good cellular models for the study of drug resistance in liver cancer, with possible application in other cancer types.
Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm  [PDF]
Makhamisa Senekane, Benedict Molibeli Taele
Smart Grid and Renewable Energy (SGRE) , 2016, DOI: 10.4236/sgre.2016.712022
Abstract: Classical machine learning, which is at the intersection of artificial intelligence and statistics, investigates and formulates algorithms which can be used to discover patterns in the given data and also make some forecasts based on the given data. Classical machine learning has its quantum part, which is known as quantum machine learning (QML). QML, which is a field of quantum computing, uses some of the quantum mechanical principles and concepts which include superposition, entanglement and quantum adiabatic theorem to assess the data and make some forecasts based on the data. At the present moment, research in QML has taken two main approaches. The first approach involves implementing the computationally expensive subroutines of classical machine learning algorithms on a quantum computer. The second approach concerns using classical machine learning algorithms on a quantum information, to speed up performance of the algorithms. The work presented in this manuscript proposes a quantum support vector algorithm that can be used to forecast solar irradiation. The novelty of this work is in using quantum mechanical principles for application in machine learning. Python programming language was used to simulate the performance of the proposed algorithm on a classical computer. Simulation results that were obtained show the usefulness of this algorithm for predicting solar irradiation.
A Comparison of Two Quantization Procedures for Lineal Gravity
Eric Benedict
Physics , 1994, DOI: 10.1016/0370-2693(94)91295-5
Abstract: We consider two programs for quantizing gravity in $1+1$ dimensions, which have appeared in the literature: one using a gauge--theoretic approach and the other following a more conventional ``geometric'' approach. We compare the wave functionals produced by the two different programs by finding matrix elements between the variables of the two theories. We find that the wave functionals are equivalent.
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