Search Results - (( variable reducing carbon algorithm ) OR ( java application customization algorithm ))

Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms by Ziyad Sami B.H., Ziyad Sami B.F., Kumar P., Ahmed A.N., Amieghemen G.E., Sherif M.M., El-Shafie A.

“…Furthermore, it is essential to reduce the carbon footprint of the cementitious composites through the optimization of the matrix. …”

Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Modelling of Adsorption of Dyes from Aqueous Solution by Activated Carbon by Wong, Teck Ngin

“…These v sets of ODEs are then integrated using the numerical algorithm DIVPAG (IMSL library subroutine), which is based on variable order, variable step method implementing backward differential formula (Gear’s Method) and is suitable for stiff system of first order non-linear ODEs. …”
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Energy-saving framework for data center from reduce, reuse and recycle perspectives by Mohd Nor, Norhashimi, Hussin, Masnida, Abdullah, Rusli

“…Then, we developed energy-saving algorithms in response to the concept. Our framework was then measured according to the performance metrics namely power usage effectiveness (PUE), energy reuse effectiveness (ERE) and carbon usage effectiveness (CUE) against variability size of data center. …”
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Long-term optimal planning for renewable based distributed generators and battery energy storage systems toward enhancement of green energy penetration by ALAhmad A.K., Verayiah R., Shareef H.

“…The backward reduction method (BRM) is then applied to streamline the number of generated scenarios, reducing computational efforts. To solve the optimization planning model, a hybrid optimization algorithm is proposed, combining the non-dominating sorting genetic algorithm (NSGAII) and multi-objective particle swarm optimization (MOPSO). …”

Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Effect of vibration on hydraulic conductivity of riverbank filtration site / Fauzi Baharudin by Baharudin, Fauzi

“…This system has shown in recent years to be very effective at controlling plenty of contaminants, microorganisms, and also reducing concentrations of total and dissolved organic carbon. …”
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Model Prediction Of Pm2.5 And Pm10 Using Machine Learning Approach by Hamid, Norfarhanah

“…It was found that taking into account the removal of the irrelevant variables does not increase precision significantly nor does it reduce the performance tremendously. …”
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Long-term optimal planning for renewable based distributed generators and plug-in electric vehicles parking lots toward higher penetration of green energy technology by ALAhmad A.K., Verayiah R., Shareef H., Ramasamy A.

“…A hybrid optimization algorithm addresses the proposed objectives, combining the non-dominated sorting genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO) to minimize the three distinct objective functions concurrently. …”

Microgrid multi-distributed energy resources for power management network stability / Bilal Mouneir Saeed Eid by Bilal Mouneir, Saeed Eid

“…The increased demand for power that has to be transferred over long distances within increasing load growth makes the integration of Distributed Energy Resources (DERs) a fast and effective solution. DERs are able to reduce the electrical and physical distances between load and generator, transmission and distribution power losses, and the carbon emission levels. …”
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Development of Fermentation Technique for High Cell Density Cultivation of Baker's Yeast (Saccharomyces Cerevisae) by Ahmad Ariff

“…Batch fermentation studies of S. cerevisae in a 2 L stirred tank fermenter were undertaken to generate kinetic growth data for the design of continuous and fed-batch fermentation. The variables studied in batch fermentation include the use of different concentrations of carbon and nitrogen sources and the effect of agitation speed (ranging from 200 to 1200 rpm), on the performance of each fermentation. …”
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