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28th International Symposium on Automation and Robotics in Construction, ISARC 2011

作者： Huang, Kuei-Mei Yang, Jyh-Bin Lee, Chang-Hung Ku, Ruei-Yu Program of Technology Management Chung Hua University Taiwan Graduate Institute of Construction Engineering and Management National Central University Taiwan Department of Construction Management Chung Hua University Taiwan

Schedule delays commonly appear in construction projects and result in delay claim progressively. Several studies have proposed various schedule delay analysis methodologies;however, most of the studies focus on the analysis of surface data (as-planned and as-built schedules), few of them on evaluating the effects of root causes, such as the problem of lost productivity. Lost productivity, one essential delay cause, is usually experienced by a contractor while accomplishing its works less than planned rate of production. For analyzing the situations of schedule impacts caused by lost productivity, this study discusses a case of delay analysis with lost productivity in Laiwan. Lhrough the study case, this study has proposed an approach to calculate schedule impact from lost productivity. Lhe study results will be a basis for developing a comprehensive delay analysis method considering lost productivity.

关键词： Productivity

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engineering project organization: defining a line of inquiry and a path forward

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engineering Project Organization Journal 2011年第1期1卷 3-10页

作者： Paul Chinowsky Civil Systems Program Department of Civil Environmental and Architectural Engineering University of Colorado

The formalization of a line of inquiry requires three elements: a foundational definition, an operational context and a path forward to guide researchers within the domain. In this initial Pathfinding paper, these elements are addressed for the engineering project organization line of inquiry. The field of engineering project organization research is put forth as a distinct pursuit within the overall field of organization research. In this distinct domain, engineering, social science, business and public policy are integrated as foundational pillars within the context of infrastructure development and the requirement to meet multiple levels of stakeholder requirements. The paper puts forth the argument that traditional perspectives of project-based organizations and project management are no longer sufficient to address the challenges of an evolving global economy, focus on environmental concerns and multi-cultural projects. Rather, it is necessary to forge a new path that embraces interdisciplinary perspec- tives as a basis for studying engineering organizations at all levels. From this basis, a path forward and a specific set of milestones are specified that should be measured and achieved by the engineering Project Organization community as it solidifies engineering project organization research as the next generation of interdisciplinary research within a project-based context. Finally, a charge is given to the community to collaborate while devel- oping novel insights and challenging entrenched beliefs and modes of inquiry in both industry and academia.

关键词： engineering organizations interdisciplinary research project organizations

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A model for emergency resources location and allocation under uncertainties 21

A model for emergency resources location and allocation unde...

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21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011

作者： Zhang, Ling Fung, Richard Y.K. Huang, Jun Department of Economics and Management Huizhou University Yanda Road 46 Huizhou Guangdong China Department of Manufacturing Engineering and Engineering Management City University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong Academy of Mathematics and Systems Science Graduate University of Chinese Academy of Sciences Yuquan Road 19 Beijing China

ISBN: (纸本)9783839602935

Timely and effective location and allocation of emergency resources for disasters are of paramount importance in an emergency distribution function, particularly when those resources have a significant impact on the survival rate of the victims. In this paper a stochastic programming model is proposed for determining an emergency resources layout system in certain disasters to help provide a higher quality resources safeguard to emergency distribution systems. Since it is difficult to predict the scale of any disaster and its impact, both the scale and the subsequent resources requirements in the disposition process of the proposed model are represented as random variables. Their randomness is represented by a finite sample of scenarios. The proposed model is then solved using a Dual Decomposition algorithm in order to cope with its special structure. Finally, a case study is used to demonstrate the significance of the proposed model as well as the efficiency of the strategy for offering the solutions.

关键词： Stochastic systems

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RADAR CODE DESIGN WITH A PEAK TO AVERAGE POWER RATIO CONSTRAINT: A RANDOMIZED APPROXIMATE APPROACH

RADAR CODE DESIGN WITH A PEAK TO AVERAGE POWER RATIO CONSTRA...

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European Signal Processing Conference

作者： A. De Maio Y. Huang M. Piezzo S. Zhang A. Farina Elettronicae delle Telecomunicazioni The Chinese University of Hong Kong Department of Systems Engineering and Engineering Management Shatin University of Minnesota Program in Industrial and Systems Engineering SELEX Sistemi Integrati

This paper considers the problem of radar waveform design in the presence of colored Gaussian disturbance under a Peak to Aver- age power Ratio (PAR) and an energy constraint. Firstly, we focus on the selection of the radar signal optimizing the Signal to Noise Power Ratio (SNR) for a given target Doppler frequency (Algorithm 1). Then, we devise its phase quantized version (Algorithm 2), which forces the waveform phase to lie within a finite alphabet. Both the problems are formulated in terms of NP-hard non-convex quadratic optimization programs;in order to solve them, we resort to Semidefinite programming (SDP) relaxation and randomization techniques, providing provable-quality sub-optimal solutions with a polynomial time computational complexity. Finally, we analyze the performance in terms of detection capability and robustness with respect to Doppler shifts.

关键词： Approximation algorithms Algorithm design and analysis Approximation methods Radar Signal processing algorithms Vectors Doppler effect

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Hardware Particle Swarm Optimization with passive congregation for embedded applications

Hardware Particle Swarm Optimization with passive congregati...

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Southern Conference on programmable Logic

作者： Muñoz, Daniel M. Llanos, Carlos H. Coelho, Leandro Dos S. Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424488483

Achieving high performance optimization algorithms for embedded applications can be very challenging, particularly when several requirements such as high accuracy computations, short elapsed time, area cost, low power consumption and portability must be accomplished. This paper proposes a hardware implementation of the Particle Swarm Optimization algorithm with passive congregation (HPPSOpc), which was developed using several floating-point arithmetic libraries. The passive congregation is a biological behavior which allows the swarm to preserve its integrity, balancing between global and local search. The HPPSOpc architecture was implemented on a Virtex5 FPGA device and validated using two multimodal benchmark problems. Synthesis, simulation and execution time results demonstrates that the passive congregation approach is a low cost solution for solving embedded optimization problems with a high performance. © 2011 IEEE.

关键词： Digital arithmetic

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Personalized reminiscence therapy for patients with Alzheimer's disease using a computerized system 11

Personalized reminiscence therapy for patients with Alzheime...

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4th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2011

作者： Sarne-Fleischmann, Vardit Tractinsky, Noam Dwolatzky, Tzvi Rief, Inbal Department of Industrial Engineering amd Management Ben-Gurion University Negev Israel Department of Information Systems Engineering Ben-Gurion University Negev Israel Department of Health Sciences Ben-Gurion University Negev Israel *** Interaction Design Israel

ISBN: (纸本)9781450307727

We present the development and initial evaluation of a personalized reminiscence program, which was developed specifically for use by patients and their caregivers in the treatment of mild to moderate Alzheimer's disease (AD). The system is part of a collaborative effort assessing the effects on patients with Alzheimer's disease of two non-pharmacological computer-based interventions, namely: personalized reminiscence therapy and cognitive training. Results from a pilot study indicated high satisfaction levels from those using the initial version of the system as well as a strong tendency towards repeated use. There was also a clear preference for using personal relevant material rather than more general subject matter. Subsequently, we have designed and further developed an internet-based system, which will be accessible from any location (such as medical facilities, clubs for the elderly, or the residence of the patient or caregiver). The system enables independent use and administration for both patients and caregivers. We are currently conducting a large scale randomized controlled study to further evaluate the effects of this system. © 2011 ACM.

关键词： Human computer interaction

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A normative differential evolution approach for estimation of heat transfer coefficient during freezing treatment by inverse analysis

A normative differential evolution approach for estimation o...

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IEEE Congress on Evolutionary Computation

作者： Mariani, Viviana Cocco Klein, Carlos Eduardo Luvizotto, Luiz Guilherme Justi Dos Santos Coelho, Leandro Department of Mechanical Engineering PPGEM Pontifical Catholic University of Paran Imaculada Conceição 1155 80215-901 Curitiba Paraná Brazil Industrial and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Paraná Imaculada Conceição 1155 80215-901 Curitiba Paraná Brazil

ISBN: (纸本)9781424478347

Among the existing meta-heuristic optimization algorithms, a well-known branch is the differential evolution (DE). DE is a powerful population-based algorithm of evolutionary computation field designed for solving global optimization problems which only has a few control parameters. With an eye to improve the performance of DE, in this paper, a DE approach combined with a cultural algorithm technique based on normative knowledge (NDE) is investigated to estimate the heat transfer coefficient during freezing treatment by inverse analysis. Numerical results for inverse heat transfer problem demonstrate the applicability and efficiency of the NDE algorithm. In this application, NDE approach outperforms a classical DE approach in terms of quality of solution. © 2011 IEEE.

关键词： Inverse problems

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A chaotic firefly algorithm applied to reliability-redundancy optimization

A chaotic firefly algorithm applied to reliability-redundanc...

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IEEE Congress on Evolutionary Computation

作者： Dos Santos Coelho, Leandro De Andrade Bernert, Diego Luis Mariani, Viviana Cocco Industrial and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Paran Imaculada Conceição 1155 80215-901 Curitiba Paraná Brazil Department of Mechanical Engineering PPGEM Pontifical Catholic University of Paran Imaculada Conceição 1155 80215-901 Curitiba Paran Brazil

ISBN: (纸本)9781424478347

The reliability-redundancy allocation problem can be approached as a mixed-integer programming problem. It has been solved by using optimization techniques such as dynamic programming, integer programming, and mixed-integer nonlinear programming. On the other hand, a broad class of meta-heuristics has been developed for reliability-redundancy optimization. Recently, a new meta-heuristics called firefly algorithm (FA) algorithm has emerged. The FA is a stochastic metaheuristic approach based on the idealized behavior of the flashing characteristics of fireflies. In FA, the flashing light can be formulated in such a way that it is associated with the objective function to be optimized, which makes it possible to formulate the firefly algorithm. This paper introduces a modified FA approach combined with chaotic sequences (FAC) applied to reliability-redundancy optimization. In this context, an example of mixed integer programming in reliability-redundancy design of an overspeed protection system for a gas turbine is evaluated. In this application domain, FAC was found to outperform the previously best-known solutions available. © 2011 IEEE.

关键词： Integer programming

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A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques

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Advances in Artificial Neural systems 2012年第1期2012卷

作者： X. Zhang G. Foderaro C. Henriquez A. M. J. VanDongen S. Ferrari Laboratory for Intelligent Systems and Control (LISC) Department of Mechanical Engineering and Materials Science Duke University Durham NC 27708 USAduke.edu Department of Biomedical Engineering and Department of Computer Science Duke University Durham NC 27708 USAduke.edu Program in Neuroscience & Behavioral Disorders Duke-NUS Graduate Medical School Singapore Singapore

This paper presents a deterministic and adaptive spike model derived from radial basis functions and a leaky integrate-and-fire sampler developed for training spiking neural networks without direct weight manipulation. Several algorithms have been proposed for training spiking neural networks through biologically-plausible learning mechanisms, such as spike-timing-dependent synaptic plasticity and Hebbian plasticity. These algorithms typically rely on the ability to update the synaptic strengths, or weights, directly, through a weight update rule in which the weight increment can be decided and implemented based on the training equations. However, in several potential applications of adaptive spiking neural networks, including neuroprosthetic devices and CMOS/memristor nanoscale neuromorphic chips, the weights cannot be manipulated directly and, instead, tend to change over time by virtue of the pre- and postsynaptic neural activity. This paper presents an indirect learning method that induces changes in the synaptic weights by modulating spike-timing-dependent plasticity by means of controlled input spike trains. In place of the weights, the algorithm manipulates the input spike trains used to stimulate the input neurons by determining a sequence of spike timings that minimize a desired objective function and, indirectly, induce the desired synaptic plasticity in the network.

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Opposition-based shuffled PSO with passive congregation applied to FM matching synthesis

Opposition-based shuffled PSO with passive congregation appl...

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IEEE Congress on Evolutionary Computation

作者： Munoz, Daniel M. Llanos, Carlos H. Dos S. Coelho, Leandro Ayala-Rincon, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424478347

Synthesis of musical instruments or human voice is a time consuming process which requires theoretical and experimental knowledge about the synthesis engine. Commonly, performers need to deal with synthesizer interfaces and a process of trial and error for creating musical sounds similar to a target sound. This drawback can be overcome by adjusting automatically the synthesizer parameters using optimization algorithms. In this paper a hybrid particle swarm optimization (PSO) algorithm is proposed to solve the frequency modulation (FM) matching synthesis problem. The proposed algorithm takes advantage of a shuffle process for exchanging information between particles and applies the selective passive congregation and the opposition-based learning approaches to preserve swarm diversity. Both approaches for injecting diversity are based on simple operators, preserving the easy implementation philosophy of the particle swarm optimization. The proposed hybrid particle swarm optimization algorithm was validated for a three-nested FM synthesizer, which represents a 6-dimensional multimodal optimization problem with strong epistasis. Simulation results revealed that the proposed algorithm presented promising results in terms of quality of solutions. © 2011 IEEE.

关键词： Global optimization

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