Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that shares many similarities with evolutionary computation techniques. However, the PSO is driven by the simulation of a social psy...
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The present work is focused on the study of indoor thermal comfort control problem in buildings equipped with heating systems. The occupants' thermal comfort sensation is addressed here by a comfort index known as...
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Injection Molding (IM) is the most important process for mass-producing plastic products. The difficulty of optimizing an IM process is that the performance measures (PMs), usually show conflicting behavior. The aim o...
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Injection Molding (IM) is the most important process for mass-producing plastic products. The difficulty of optimizing an IM process is that the performance measures (PMs), usually show conflicting behavior. The aim of this work is to demonstrate a method utilizing CAE, statistical testing, artificial neural networks (ANNs), and data envelopment analysis (DEA) to find the best compromises between multiple PMs and their variability. Two case studies are presented. A case study based on a virtual part is presented in detail in order to illustrate this method. The second case study is experimentally based, using the American Society of Testing Materials (ASTM) mold, to illustrate how this approach applies when only experimental results are available.
While the pedagogy of Service-Learning (S-L) has been applied beneficially in a variety of disciplines, only recently have engineering departments begun to adopt the practice of integrating academically-relevant commu...
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The present work is focused on the study of indoor thermal comfort control problem in buildings equipped with heating systems. The occupants' thermal comfort sensation is addressed here by a comfort index known as...
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The present work is focused on the study of indoor thermal comfort control problem in buildings equipped with heating systems. The occupants' thermal comfort sensation is addressed here by a comfort index known as PMV (Predict Mean Vote). In this context, two control algorithms are proposed by using only-one-actuator system associated to the heating system. The methods are based on the model predictive control scheme and on the improvement of the PMV index together with energy minimization. Simulation results - obtained by using the weather data file for the city of Curitiba, Brazil - for two case studies: i ) variations between low and moderate occupants metabolic rates and ii) variations between moderate and high occupants metabolic rates are presented to validate the proposed methodology in terms of room air temperature, relative humidity and PMV control.
This work presents the use of particle swarm optimization (PSO) techniques with the particles' population space based on normative knowledge of cultural algorithms (CA). In this work, the optimal shape design of L...
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This work presents the use of particle swarm optimization (PSO) techniques with the particles' population space based on normative knowledge of cultural algorithms (CA). In this work, the optimal shape design of Loney's solenoids benchmark problem is carried out by PSO, PSO-CA, Gaussian PSO and Gaussian PSO-CA approaches
Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. Based on the swarm in...
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Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. Based on the swarm intelligence theory, this paper discusses the use of PSO approaches using an operator and based on the Gaussian probability distribution function as a population space of a cultural algorithm, called cultural Gaussian PSO (GPSO-CA). Cultural algorithms are mechanisms that incorporate domain knowledge obtained during the evolutionary process, which increase the efficiency of the search process. These approaches are employed in a well-studied continuous optimization problem of mechanicalengineering design.
作者:
Markle, Stephen P.CDR. STEPHEN P. MARKLE
USN (REt.)P.E.a retired US Navy Engineering Duty Officer and is the Engineering Director for Navalis Environmental Systems. His active duty assignments included the staff of the Chief of Naval Operations Director of Surface Warfare as Section Head for Surface Combatant Maintenance and Modernization Program Executive Office Expeditionary Warfare as Assistant Project Manager for the (TAKE 1)Class Programand as Deputy Director
Environmental Programs Division at Naval Sea Systems Command. He is a 1993 graduate of the Naval Construction and Engineering Program at the Massachusetts Institute of Technology where he received a Naval Engineers Degree and Master of Science in Mechanical Engineering. Since 1995 he has authored thirteen published technical papers dealing with environmental issues. CDR Markle is the recipient of Fiscal Year 2001 Individual Environmental Quality Awards and Environmental Excellence in Weapon System Acquisition Team Awards from Naval Sea Systems Command Chief of Naval Operations Secretary of the Navy and Secretary of Defense and the 2001 ASNE “Jimmie Hamilton” award. He is a Professional Engineer registered in the State of New York and Commonwealth of Virginia. He serves as the Chair of the Joint ASNE/SNAME Committee on Environmental Engineering and also as Chair of ASTM Ships and Marine Technology Marine Environmental Protection Subcommittee (F25.06).
Regulations governing the discharge of sewage from ships have been in force since the early 1970's. In response, the marine industry has developed ever more complex systems and processes for managing these wastes....
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Regulations governing the discharge of sewage from ships have been in force since the early 1970's. In response, the marine industry has developed ever more complex systems and processes for managing these wastes. The first compliance method involved holding wastes until they could be legally discharged;as technology advanced, treatment systems were developed and installed to enable discharge within regulated waters. As the size and number of ships as increased with maturation of the ocean tourism business, more restrictive regulations have been enacted to minimize the impact on sensitive waters. The trend is toward increasing regulation of both sewage and graywater. The most recent action occurred on 12 October 2005 when the Governor of California signed into law Senate Bill 771 regulating most ship liquid discharges within state waters. This paper describes the development of an innovative advanced wastewater treatment technology, based on advanced oxidation, bearing in mind the lessons learned from systems developed by industry over the past thirty years.
This paper investigates vision based robot control based on a receding horizon control strategy, as a first step for a predictive visual feedback control. Firstly, the brief summary of the 3D dynamic visual feedback s...
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ISBN:
(纸本)1424401704;9781424401703
This paper investigates vision based robot control based on a receding horizon control strategy, as a first step for a predictive visual feedback control. Firstly, the brief summary of the 3D dynamic visual feedback system with eye-in-hand configuration is given. Next, a stabilizing receding horizon control for the 3D dynamic visual feedback system, a highly nonlinear and relatively fast system, is proposed. The stability of the receding horizon control scheme is guaranteed by using the terminal cost derived from an energy function of the visual feedback system. Furthermore, simulation results are assessed with respect to the stability and the performance
In this study, a new micro electroporation (EP) cell chip with three-dimensional (3D) electrodes was fabricated by means of MEMS technology, and tested on HeLa cervical cancer cells. Large statistical data of loading ...
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