11351 research outputs found
Sort by
Modern Approach for Designing and Solving Interval Estimated Linear Fractional Programming Models
Get PDFOptimization methods have been widely applied in statistics. In mathematical programming, the coefficients of the models are always categorized as deterministic values. However uncertainty always exists in realistic problems. Therefore, interval-estimated optimization models may provide an alternative choice for considering the uncertainty into the optimization models. In this aspect, this paper concentrates, the lower and upper values of interval estimated linear fractional programming model (IELFPM) are obtained by using generalized confidence interval estimation method. An IELFPM is a LFP with interval form of the coefficients in the objective function and all requirements. The solution of the IELFPM is also analyzed
Reflections - A Photo Journey of the Prairie View A&M University Cooperative Extension Program
Get PDFPanther - February 2014 - Vol. XCIV No. 14
Get PDFhttps://digitalcommons.pvamu.edu/pv-panther-newspapers/1400/thumbnail.jp
Reliable Study of Nonhomogeneous BBM Equation with Time-Dependent Coefficients by the Modified Sine-Cosine Method
Get PDFThe modified sine-cosine method is an efficient and powerful mathematical tool in finding exact traveling wave solutions to nonlinear partial differential equations (NLPDEs) with time-dependent coefficients. In this paper, the proposed approach is applied to study a nonhomogeneous generalized form of Benjamin-Bona-Mahony (BBM) equation with time-dependent coefficients. Explicit traveling wave solutions of the equation are obtained under certain constraints on the coefficient functions
Applying GMDH-type Neural Network and Particle warm Optimization for Prediction of Liquefaction Induced Lateral Displacements
Get PDFLateral spreading and flow failure are amongst the most destructive effects of liquefaction. Estimation of the peril of lateral spreading requires characterization of subsurface conditions, principally soil density, fine content, groundwater conditions, site topography and seismic characteristics. In this paper a GMDH-type neural network and particle swarm optimization is developed for prediction of liquefaction induced lateral displacements. Using this method, a new model was proposed that is suitable for predicting the liquefaction induced lateral displacements. The proposed model was tested before the requested calculation. The data set which is contains 250 data points of liquefaction-induced lateral ground spreading case histories from eighteen different earthquakes was divided into two parts: 70% were used as training and 30% were used as a test set, which were randomly extracted from the database. After initially testing on the input_output process, the predicted values were compared with experimental values to evaluate the performance of the group method of data handling neural network method
1-(1-Alkylsulfonic)-3-methylimidazolium chloride Brönsted acidic ionic liquid catalyzed Skraup synthesis of quinolines under microwave heating
No full text1-(1-Alkylsulfonic)-3-methylimidazolium chloride Brönsted acidic ionic liquids are shown as excellent catalysts and reaction mediums for Skraup synthesis of quinolines under microwave conditions without the use of nitrobenzene as an oxidant and metal catalysts. © 2014 Elsevier Ltd. All rights reserved
Inclusion of dietary zeolite reduces aflatoxin B1 levels in household bread waste used as cattle feed
No full textThis study aimed to examine the efficacy of zeolite addition in the reduction of aflatoxin B1 (AFB1) levels in household bread waste used as animal feed. Three levels of zeolite (1, 3 and 5%) were added to two dry bread waste samples naturally contaminated by AFB1 at 11.48 and 4.8 ppm levels. Samples were then analyzed before zeolite treatment (day 0) and after 7 and 14 days of storage for chemical (pH, moisture content and ash) and microbial (mesophilic bacteria and molds) changes as well as aflatoxin levels relative to the control. Data analysis showed that aflatoxin levels significantly decreased as zeolite and storage time increased, so that the lowest level of aflatoxin was found in sample treated with 5% zeolite after 14 days of storage compared with the control (p\u3c0.05). Such a trend was also observed in bacterial and mold counts. However, storage time had less effect than zeolite. Chemical analyses of bread samples exhibited significant increases in pH values and corresponding decreases in moisture and ash contents in all storage time points compared with the control. These findings suggest zeolite addition as a viable method of reduction of AFB1 levels in household bread waste used as animal feed. © 2014 Bentham Science Publishers
Analysis and control of switched linear systems via modified Lyapunov-Metzler inequalities
No full textThis paper addresses analysis and switching control problems of continuous/discrete-time switched linear systems. A particular class of matrix inequalities, the so-called Lyapunov-Metzler inequalities, will be modified to provide conditions for stability analysis and output feedback control synthesis under a relaxed min-switching logic. The switching rule combined with switching output feedback controllers will be designed to stabilize the switched system and satisfy a prespecified L2(ℓ2) gain performance. The proposed analysis and switching control approach could refrain frequent switches commonly observed in min-switching based designs. The effectiveness of the proposed approach will be illustrated through numerical examples. Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd
Hydroxyapatite grafted carbon nanotubes and graphene nanosheets: Promising bone implant materials
No full textIn the present study, hydroxyapatite (HA) was successfully grafted to carboxylated carbon nanotubes (CNTs) and graphene nanosheets. The HA grafted CNTs and HA-graphene nanosheets were characterized using FT-IR, TGA, SEM and X-ray diffraction. The HA grafted CNTs and graphene nanosheets (CNTs-HA and Gr-HA) were further used to examine the proliferation and differentiation rate of temperature-sensitive human fetal osteoblastic cell line (hFOB 1.19). Total protein assays and western blot analysis of osteocalcin expression were used as indicators of cell proliferation and differentiation. Results indicated that hFOB 1.19 cells proliferate and differentiate well in treatment media containing CNTs-HA and graphene-HA. Both CNTs-HA and graphene-HA could be promising nanomaterials for use as scaffolds in bone tissue engineering. © 2014 Elsevier B.V. All rights reserved
Automation for weed control in least developed Countries (LDCs)
No full textThe state of the art in automation for weed control makes it foreseeable that the rate of adoption of these technologies will increase significantly in developed countries within the next decade, as specific applications that are effective and affordable become available. For least developed countries (LDCs), international cooperation must be sought in order to avoid a steep increase in the technology divide. Furthermore, automated weed control could play a significant role in supporting the adoption of weed control strategies that are less damaging to the environment while helping improve food supplies for LDCs. However, since the agricultural systems are rather diverse in these countries, several aid programs will be needed. As these programs develop, stories of success by early adopters could play an important role in promoting widespread use of these technologies among LDCs