1457 Chapters
Medium 9781601323200

SPSO-TVAC Congestion Management in a Practical Electricity Market Based Generator Sensitivity

CSREA 2003 CSREA Press PDF

Int'l Conf. Artificial Intelligence | ICAI'14 |

173

SPSO-TVAC Congestion Management in a Practical

Electricity Market Based Generator Sensitivity

H. A. Shayanfar*

H. Shayeghi

A. Ghasemi

Department of Electrical Engineering

College of Technical and Engineering

South Tehran Branch

Islamic Azad University, Tehran, Iran

Technical Engineering Department

Technical Engineering Department

University of Mohaghegh Ardabili

University of Mohaghegh Ardabili

Ardabil, Iran

Ardabil, Iran

hashayanfar@gmail.com, hshayeghi@gmail.com, ghasemi.agm@gmail.com

Abstract- Congestion management is one of the major tasks performed by system operators to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. This paper presents a new method of Speed

Particle Swarm Optimization with Time-Varying Acceleration

Coefficients (SPSO-TVAC)-based Congestion Management

(CM) by optimal rescheduling of active powers of generators.

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Medium 9781601323170

Lessons Learned from an Introductory Java Course for Non-Technical Students

Hamid R. Arabnia Azita Bahrami, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Frontiers in Education: CS and CE | FECS'14 |

23

Lessons Learned from an Introductory Java Course for

Non-Technical Students

M. Scaiano, A. Javadtalab, and L. Peyton

School of Electrical Engineering and Computer Science (EECS), University of Ottawa, Ottawa, Ontario, Canada

Abstract— In this paper, we present lessons learned from teaching an introductory Java course to a group of students from diverse fields of study not related to computer science or engineering. In particular, we were interested in evaluating how such students conceptualize programming and what the most effective ordering of topics and course structure would be for them. The lessons learned have been drawn from observations, discussions, and self-reflection, as well as a student survey and the actual achievements of the students in the course. Based on these results, this paper recommends ways to improve the teaching of programming to students from non-technical disciplines.

Keywords: Objects First, Guided Problem Solving, Introductory

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Medium 9781601323101

Research of Decision Tree on YARN Using MapReduce and Spark

Hamid R. Arabnia, Mary Q. Yang, George Jandieri, James J. (Jong Hyuk) Park, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

88

Int'l Conf. on Advances in Big Data Analytics | ABDA'14 |

Research of Decision Tree on YARN Using MapReduce and Spark

1

Hua Wang1, Bin Wu1, Shuai Yang1, Bai Wang1, and Yang Liu1

School of Computer Science Beijing University of Posts and Telecommunications

Beijing, China

Abstract - Decision tree is one of the most widely used classification methods. For massive data processing,

MapReduce is a good choice. Whereas, MapReduce is not suitable for iterative algorithms. The programming model of

Spark is proposed as a memory-based framework that is fit for iterative algorithms and interactive data mining. In this paper,

C4.5 is implemented on both MapReduce and Spark. The result of each layer of the decision tree can be kept in memory in the implementation on Spark. Through the experiments of C4.5, we observed an improvement of 950% on Spark than on

MapReduce when the dataset is small. When the number of lines reached 50 million, Spark still kept an improvement of 73%. We concluded the algorithms and applications applicable for

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Medium 9781683921844

Logic, Fuzzy Logic, fuzzy Control, Bayesian Methods, and Applications

Edited by Hamid R. Arabnia, David de la Feuente, Elene B. Kozerenko CSREA Press PDF

Int'l Conf. Artificial Intelligence | ICAI'17 |

45

SESSION

LOGIC, FUZZY LOGIC, FUZZY CONTROL,

BAYESIAN METHODS, AND APPLICATIONS

Chair(s)

TBA

ISBN: 1-60132-460-X, CSREA Press ©

46

Int'l Conf. Artificial Intelligence | ICAI'17 |

ISBN: 1-60132-460-X, CSREA Press ©

Int'l Conf. Artificial Intelligence | ICAI'17 |

47

Fuzzy Multi-objective Optimized with Efficient Energy and Time-varying Price for EV Charging System

1

Jiyao AN1, Jie Tang1, and Yingjun Yu1

College of Computer Science and Electronic Engineering, Hunan University, Changsha , China 410082

Abstract - In this paper, the multi-objective optimization problem with energy efficiency and charge cost utilization is investigated for electric vehicles (EVs) dynamic charging system with efficient energy and time-varying electricity price.

System model is considered to be the joint model of charging reservation and real-time charging monitoring. Since the concerned problem by nature is a multi-constrained and multi-variable optimization problem, our aim is to develop a novel fuzzy charging strategy to solve the concerned system.

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Medium 9781601323668

SESSION Simulation and Applications

Hamid Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Modeling, Sim. and Vis. Methods | MSV'16 |

1

SESSION

SIMULATION AND APPLICATIONS

Chair(s)

TBA

ISBN: 1-60132-443-X, CSREA Press ©

2

Int'l Conf. Modeling, Sim. and Vis. Methods | MSV'16 |

ISBN: 1-60132-443-X, CSREA Press ©

Int'l Conf. Modeling, Sim. and Vis. Methods | MSV'16 |

3

Kinematics-Based Simulation and Animation of Articulated

Rovers Traversing Rough Terrain

Mahmoud Tarokh

Department of Computer Science, San Diego State University

San Diego, CA 92182-7720, U.S.A.

Abstract

2. Overview

The paper proposes a simple and computationally efficient method for the modeling and animation of highly articulated rovers traversing rough terrain. The method is based on the propagation of position and orientation velocities through wheels and various joints and linkages of the rover. These velocity equations are combined to form the Jacobian matrix of the rover that relates the position and orientation of the rover to various active (actuated) and passive rover joint variables. A rearrangement of the Jacobian equation allows determining the actuation of suspension joints for balance control to avoid tipover. This is done through a pseudoinverse method which optimizes a balance performance criterion. To illustrate the kinematics modeling and balance control concepts, the method is applied to a rover similar to the NASA’s Sample Return Rover and simulation and animation results are presented.

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