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排序方式: 共有616条查询结果,搜索用时 15 毫秒
61.
Mohammad Azzeh;Yousef Alqasrawi;Yousef Elsheikh; 《Journal of Software: Evolution and Process》2024,36(4):e2553
Defect density is an essential software testing and maintenance aspect that determines the quality of software products. It is used as a management factor to distribute limited human resources successfully. The availability of public defect datasets facilitates building defect density prediction models using established static code metrics. Since the data gathered for software modules are often subject to uncertainty, it becomes difficult to deliver accurate and reliable predictions. To alleviate this issue, we propose a new prediction model that integrates gray system theory and fuzzy logic to handle the imprecision in software measurement. We propose a new similarity measure that combines the benefits of fuzzy logic and gray relational analysis. The proposed model was validated against defect density prediction models using public defect datasets. The defect density variable is frequently sparse because of the vast number of none-defected modules in the datasets. Therefore, we also check our proposed model's performance against the sparsity level. The findings reveal that the developed model surpasses other defect density prediction models over the datasets with high and very high sparsity ratios. The ensemble learning techniques are competitive choices to the proposed model when the sparsity ratio is relatively small. On the other hand, the statistical regression models were the most inadequate methods for such problems and datasets. Finally, the proposed model was evaluated against different degrees of uncertainty using a sensitivity analysis procedure. The results showed that our model behaves stably under different degrees of uncertainty. 相似文献
62.
Yousef M. Alshammari 《OPEC Energy Review》2019,43(3):301-326
COP21 resulted in a major global agreement to reduce greenhouse gas emission to limit the Earth’s rising temperature to <2°C. Transport has a key role in the transition to a clean low carbon energy system. The aim of this work was to develop optimum scenarios for the implementation of alternative low carbon road transport fuels to replace conventional fuels of gasoline and diesel using the systems analysis model MESSAGE. The results show that technological breakthroughs to enhance efficiency and cost reduction of solar fuels will enable them to compete with gasoline and diesel in meeting the demand for road transport fuels. It also found that that production of synthetic fuels can significantly contribute to reducing consumption of crude oil while reducing CO2 emission by 80 per cent by 2050. Compared with previous literature, our work considers synfuels from fossil fuels can compete with biomass‐derived fuels, and it shows potential transition scenarios in the road transport sector to replace gasoline and diesel in fossil fuel‐dependent economies considering Saudi Arabia as a case study. Solar fuels appear as the most promising for reducing emission, albeit at a high price. Carbon abatement costs are found to range between $121 and $517/Ton, between 2015 and 2050. Feasible implementation of solar and synthetic fuels was also found to depend on the targeted CO2 emission, fuel efficacy, penetration of public transport and economic growth. 相似文献
63.
Taras Pyatkovskyy Mykola Shynkaryk Ahmed Yousef Sudhir K. Sastry 《Journal of food process engineering》2017,40(3)
The effectiveness of various liquid sanitizers and methods of application against Escherichia coli on baby spinach was investigated. Inoculated spinach was treated with (i) Pro‐San L (commercially prepared solution containing 0.66% citric acid, 0.036% sodium dodecyl sulfate (SDS); (ii) chlorine solution (200 ppm), alone or with addition of 0.036% SDS; and (iii) aqueous solution of 0.66% levulinic acid with 0.036% SDS. Population reduction in response to these treatments ranged between 2.1 and 2.8 log CFU/g. No significant difference (p > .05) was found among tested sanitizers in microbial count reduction. Spraying, dipping, and “dry” vacuum impregnation methods of Pro‐San L application were compared. Dipping was the most effective in reducing E. coli O157:H7 population (4.4 log CFU/g reduction). Dry vacuum impregnation was less effective (3.3 log CFU/g reduction) and caused damage to the produce. The effectiveness of spray Pro‐San L application and holding for prolonged time (up to 3 days) was also evaluated. However, increasing time of exposure to organic acid sanitizer did not increase sanitizing effectiveness and led to progressive damage of spinach leaves. 相似文献
64.
Bashria A. A. Yousef Hegazy Rezk Mohammad Ali Abdelkareem Abdul G. Olabi Ahmed M. Nassef 《国际能源研究杂志》2020,44(11):8964-8973
This work aims to maximize the production of bio-methanol from sugar cane bagasse through pyrolysis. The maximum value of the bio-methanol yield can be obtained as soon as the optimal operating parameters in a pyrolysis batch reactor are well defined. Using the experimental data, the fuzzy logic technique is used to build a robust model that describes the yield of bio-methanol production. Then, Particle Swarm Optimization (PSO) algorithm is utilized to estimate the optimal values of the operating parameters that maximize the bio-methanol yield. Three different operating parameters influence the yield of bio-methanol from sugar cane bagasse through pyrolysis. The controlling parameters are considered as the reaction temperature (°C), reaction time (min), and nitrogen flow (L/min). Accordingly, during the optimization process, these parameters are used as the decision variables set for the PSO optimizer in order to maximize the yield of bio-methanol, which is considered as a cost function. The results demonstrated a well-fitting between the fuzzy model and the experimental data compared with previous predictions obtained by an artificial neural network (ANN) model. The mean square errors of the model predictions are 0.11858 and 0.0259, respectively, for the ANN and fuzzy-based models, indicating that fuzzy modeling increased the prediction accuracy to 78.16% compared with ANN. Based on the built model, the PSO optimizer accomplished a substantial improvement in the yield of bio-methanol by 20% compared to that obtained experimentally, without changing system design or the materials used. 相似文献
65.
Yousef Alipouri Shunyi Zhao Biao Huang 《International Journal of Adaptive Control and Signal Processing》2020,34(4):503-519
This paper is concerned with distributed data-driven observer design problem. The existing data-driven observers rely on a common assumption that all the information about the system, and the calculations based upon this information are centralized. Therefore the resulting algorithms cannot be applied to the distributed systems in which each local observer receives only a part of the output signal. On the other hand, traditional model-based distributed state estimation methods generally assume that the processes are decomposed according to the known process models, while in data-driven approaches there is no such information available. The main goal of this paper is to extend the centralized data-driven observer design approach to the distributed framework. The stability of the proposed data-driven distributed observer is also proved analytically. A quadruple-tank process is simulated to demonstrate the performance of the proposed scheme. 相似文献
66.
Ashit Rao Subhash C. Ayirala Mohammed B. Alotaibi Michel H. G. Duits A. A. Yousef Frieder Mugele 《Advanced functional materials》2021,31(51):2106396
Dissolution is inherent to fluid-mineral systems. Yet its impact on minerals reacting with electrolytes is overlooked. Here, a novel nonmonotonic behavior for the surface interactions of carbonates (calcite and Mg-calcite) with organic acids is reported. Applying a bioinspired approach, Mg-calcite sensors via amorphous precursors, avoiding any preconditioning with functional groups are synthesized. A quartz crystal microbalance is used to study the mass changes of the mineral on contact with organic acids under varying ionic conditions, temperatures, and flow velocities. Supported by confocal Raman microscopy and potentiometric titrations, nonmonotonous mass developments are found as a function of Ca2+ concentration and flowrate, and attributed to three coupled chemical reactions: i) carbonate dissolution via Ca2+ ion complexation with organic molecules, and the formation of organo-calcium compounds as ii) a surface phase at the mineral–water interface, and iii) particles in the bulk fluid. These processes depend on local ion contents and the precipitation onset (i.e., saturation index) of organo-calcium salts, both of which substantially differ in the bulk fluid and in the fluid boundary layer at mineral interfaces. This continuum between dissolution and precipitation provides a conceptual framework to address reactions at mineral interfacial across disciplines including biomineralization, ocean acidification and reservoir geochemistry. 相似文献
67.
Yousef Kazemzadeh Behnam Dehdari Zahra Etemadan Masoud Riazi Mohammad Sharifi 《石油科学(英文版)》2019,(3):578-590
Nanofluids because of their surface characteristics improve the oil production from reservoirs by enabling different enhanced recovery mechanisms such as wettability alteration, interfacial tension (IFT) reduction, oil viscosity reduction, formation and stabilization of colloidal systems and the decrease in the asphaltene precipitation. To the best of the authors’ knowledge, the synthesis of a new nanocomposite has been studied in this paper for the first time. It consists of nanoparticles of both SiO2 and Fe3O4. Each nanoparticle has its individual surface property and has its distinct effect on the oil production of reservoirs. According to the previous studies, Fe3O4 has been used in the prevention or reduction of asphaltene precipitation and SiO2 has been considered for wettability alteration and/or reducing IFTs in enhanced oil recovery. According to the experimental results, the novel synthesized nanoparticles have increased the oil recovery by the synergistic effects of the formed particles markedly by activating the various mechanisms relative to the use of each of the nanoparticles in the micromodel individually. According to the results obtained for the use of this nanocomposite, understanding reservoir conditions plays an important role in the ultimate goal of enhancing oil recovery and the formation of stable emulsions plays an important role in oil recovery using this method. 相似文献
68.
The purpose of this study was the production of copolymers and terpolymers with highly hydrophilic–hydrophobic properties, using inexpensive and available monomers as potential enhancing oil recovery (EOR) and water production control agents for high-temperature and high-salinity (HTHS) oil reservoirs. For this purpose, several copolymers and terpolymers with different molar percentage of acrylamide/styrene, acrylamide/maleic anhydride, and acrylamide/styrene/maleic anhydride were synthesized by the inverse emulsion polymerization technique. The presence of hydrophobic styrene and hydrophilic maleic anhydride monomers in the copolymer and terpolymer structure, provided some unique properties compared to polyacrylamide, was confirmed by several analyses including HNMR, elemental analysis, FTIR, SEM, TGA, and DSC. Simulating HTHS oil reservoir condition under high salinity, temperature, and shear rate, the rheological studies suggested unlike traditional EOR agents such as polyacrylamide, the viscosity of the copolymer, and terpolymer aqueous solutions showed a considerable increase after a critical polymer concentration and less reduction with the salt increment at both ambient and elevated temperatures. Furthermore, the swelling ratio of the insoluble terpolymers measured versus the time and temperature in salt water increased with the maleic anhydride mole fraction, decreased with the salt concentration, and showed a maximum value at around 57 °C. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47753. 相似文献
69.
Fan He Mao‐Jie Zhang Wei Wang Quan‐Wei Cai Yao‐Yao Su Zhuang Liu Yousef Faraj Xiao‐Jie Ju Rui Xie Liang‐Yin Chu 《Advanced Materials Technologies》2019,4(6)
Drug delivery systems that can control drug release profile to ensure a high therapeutic efficacy and reduced side effects are highly desired in pharmaceutical and biomedical fields. Microparticles are the most commonly used drug delivery systems, because they can be easily administrated to patients, and be engineered with different structures and functions for keeping drug stability, delivering drugs to a desired location, and releasing drugs with a predetermined rate in a well‐controlled manner. Microfluidic techniques show great power for controllable generation of highly monodisperse multiple emulsion droplets with unprecedented structural diversity. Microfluidics‐templated emulsions allow elaborately design and controllable generation of highly uniform microparticles with well‐controlled sizes, shapes, compositions, and structures, and integrated functions for controlled drug release. This review highlights recent progress on controllable microfluidic fabrication of monodisperse emulsion templates and the resultant polymeric microparticles with well‐tailored structures and functions for flexible encapsulation and controlled release of drugs. Especially, a comprehensive overview of the recent biomedical applications of these microparticles with diverse release mechanisms is provided. Finally, perspectives on further advancing the microfluidic techniques for fabricating functional microparticles from lab scale to industrial scale are discussed. 相似文献
70.