Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Soil Chemical Analysis

Fractional Differential Equations

行銷硏究 : Marketing research

▶ Addresses a wide range of timely environment, economic and energy topics ▶ A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales ▶ Contributes to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated ▶ 94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Mitigation and Adaptation Strategies for Global Change

Multiwalled carbon nanotubes (MWCNTs) were functionalized by different functional groups via the Fischer Esterification method. Nitric acid treatment was first used to remove the catalyst from MWCNTs and introduce carboxylic acid groups onto the surface of MWCNTs. These carboxylic groups were used as reaction precursors in the functionalization. Four functional groups―phenol, dodecylamine, 1-octadecanol, and polyethylene glycol―were successfully covalently attached to MWCNTs via amidation or esterification. The functionalized MWCNTs were then characterized by Fourier Transform Infrared (FTIR) spectroscopy, thermal analysis techniques, thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC). The MWCNTs attached to the organofunctional moieties have greater versatility for further utilization in different application fields such as biology, nanocomposites, water treatment, petroleum, and petrochemical technologies. Key words : functionalized CNTs, Fischer Esterification, carboxylic acid groups, phenol, dodecylamine, 1-octadecanol, polyethylene glycol

Modification and functionalization of multiwalled carbon nanotube (mwcnt) via fischer esterification

i In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine Power System Stabilizers (PSSS)is proposed. The proposed approach develops and employs Particle Swarm Optimization (PSO) technique to search for optimal settings of PSS parameters. Two eigenvalue-based objective functions to enhance system damping of electromechanical modes are considered. The robustness of the proposed approach to the initial guess is demonstrated. The performance of the proposed PSO based PSS (PSOPSS) under different disturbances and loading conditions is tested and examined. Eigenvalue analysis and nonlinear simulation results show the effectiveness of the proposed PSOPSSS to damp out the electromechanical oscillations and work effectivelyover a wide range of loading conditions.

Particle Swarm Optimization for NIultimachine Power System Stabilizer Design

In recent years, power demand has increased substantially while the expansion of power generation and transmission has been severely limited due to limited resources and environmental restrictions. As a consequence, some transmission lines are heavily loaded and the system stability becomes a power transfer-limiting factor. Flexible AC transmission systems (FACTS) controllers have been mainly used for solving various power system steady state control problems. However, recent studies reveal that FACTS controllers could be employed to enhance power system stability in addition to their main function of power flow control. The literature shows an increasing interest in this subject for the last two decades, where the enhancement of system stability using FACTS controllers has been extensively investigated. This paper presents a comprehensive review on the research and developments in the power system stability enhancement using FACTS damping controllers. Several technical issues related to FACTS installations have been highlighted and performance comparison of different FACTS controllers has been discussed. In addition, some of the utility experience, real-world installations, and semiconductor technology development have been reviewed and summarized. Applications of FACTS to other power system studies have also been discussed. About two hundred twenty seven research publications have been classified and appended for a quick reference.

Power system stability enhancement using facts controllers: a review

This paper presents an ec cient andreliable tabusearch(TS)‐basedapproachto solve the optimal power eow (OPF) problem. The proposed approach employs TS algorithm for optimal settings of the control variables of the OPF problem. Incorporation of TS as a derivative-free optimization technique in solving OPF problem signiecantly reduces the computational burden. One of the main advantages of TS algorithm is its robustness to its own parameter settings as well as the initial solution. In addition, TS is characterized by its ability to avoid entrapment in local optimal solution andprevent cycling by using eexible memory of search history. The proposed approach has been examined on the standard IEEE 30-bus test system with diŒerent objectives and generator cost curves. The results are promising and show the eŒectiveness and robustness of the proposed approach.

Optimal Power Flow Using Tabu Search Algorithm

In this work, the local fractional variational iteration method is employed to handle the sub-diffusion and wave equations and the analytical solutions are obtained. The present method is efficient and implicit to investigate the differential equations with the local fractional derivatives.

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Papers

Modification and functionalization of multiwalled carbon nanotube (mwcnt) via fischer esterification

Particle Swarm Optimization for NIultimachine Power System Stabilizer Design

Power system stability enhancement using facts controllers: a review

Optimal Power Flow Using Tabu Search Algorithm

Local fractional variational iteration method for diffusion and wave equations on cantor sets