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Optimal solid waste collection routes identified by the ant colony system algorithm

WASTE MANAGEMENT & RESEARCH 2007年第2期25卷 139-147页

作者： Karadimas, Nikolaos V. Papatzelou, Katerina Loumos, Vassili G. Natl Tech Univ Athens Sch Elect & Comp Engn Multimedia Technol Lab Athens 15780 Greece

In the present paper, the Ant Colony System (ACS) algorithm is used for the identification of optimal routes in the case of municipal solid waste (MSW) collection. The proposed MSW management system is based on a geo-referenced spatial database supported by a geographic information system (GIS). The GIS takes into account all the required parameters for solid waste collection. These parameters include static and dynamic data, such as the positions of waste bins, the road network and the related traffic, as well as the population density in the area under study. In addition, waste collection schedules, truck capacities and their characteristics are also taken into consideration. Spatio-temporal statistical analysis is used to estimate inter-relations between dynamic factors, like network traffic changes in residential and commercial areas. The user, in the proposed system, is able to define or modify all of the required dynamic factors for the creation of alternative initial scenarios. The objective of the system is to identify the most cost-effective scenario for waste collection, to estimate its running cost and to simulate its application. Finally, the results of the ACS algorithm are compared with the empirical method currently used by the Municipality of Athens.

关键词： Ant Colony System waste collection optimization algorithm municipal solid waste (MSW) routing Simulation wmr 1025-5

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Optimized matching of film dosimetry with calculated doses for IMRT quality assurance

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PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS 2007年第2期23卷 49-57页

作者： Park, Dong Hyun Shin, Dongho Park, Sung-Yong Park, Dahl Kim, Tae-Hyun Shin, Kyung Hwan Yoon, Myonggeun Kim, Dae Yong Cho, Kwan Ho Natl Canc Ctr Proton Therapy Ctr Goyang Si 411769 Geyongi Do South Korea

We develop a new method with a global optimization for registering films to calculate doses for intensity-modulated radiation therapy (IMRT) and intensity-modutated radiosurgery (IMRS) quality assurance (QA). Both absolute point dosimetry and two-dimensional (2D) film dosimetry are performed through the IMRT and IMRS using Clinac 21 EX's 120 millenium MLC and BrainLab's micro-MLC, respectively. The measured and calculated dose distributions are superimposed by coincidence of their origins, followed by comparison of the point doses at all matched positions. Then, with the optimization algorithm the setup error of the dosimeter is corrected. An example of IMRT cases shows that the average percentage showing 3% of dose difference for 10 patients has been reduced from 19% to 9%, before and after optimization and weight, respectively. Similar results are obtained for IMRS. This method dramatically reduces the difference between measured and calculated dose distributions in all cases investigated. (c) 2007 Published by Elsevier Ltd on behalf of Associazione Italiana di Fisica Medica.

关键词： film dosimetry intensity-modulated radiation therapy quality assurance optimization algorithm

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optimization of semi-Markov switching state-space control processes for network communication systems

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26th Chinese Control Conference

作者： Jiang Qi Xi Hongsheng Yin Baoqun Univ Sci & Technol China Dept Automat Hefei 230027 Peoples R China

ISBN: (纸本)9787811240559

Motivated by optimization of network communication systems, this paper presents an event-driven semi-Markov switching state-space control process with hierarchical dynamic architectures. First, the semi-Markov kernel of the switching control process is constructed, and the sensitivity formula for performance derivatives under average criterion is derived. Then, an online optimization algorithm that combines policy gradient estimation and stochastic approximation is proposed. This analytic model is with constructional flexibility and scalability, and the proposed optimization algorithm is adaptive and with less computational cost. Finally, as an illustrative example, the load balancing problem in a streaming media server cluster is formulated and addressed.

关键词： hierarchical control network communication systems optimization algorithm performance sensitivity analysis semi-Markov switching state-space control processes

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Radio network planning models based on teletraffic demand: Design, implementation and improvement issues

Radio network planning models based on teletraffic demand: D...

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IEEE International Conference on Telecommunications/IEEE Malaysia International Conference on Communications (ICT-MICC 2007)

作者： Kadir, Mohammad. Ismat Tariq, Shah Ahsanuzzaman Md. Perveen, Khalada Khulna Univ Elect & Commun Engn Discipline Khulna Bangladesh

ISBN: (纸本)9781424410934

Improved demand based engineering method for designing radio networks of cellular mobile communications systems arc, presented here. We have used forward engineering method, "The Integrated Approach" to cellular network planning. For traffic distribution, a new discrete population model "The Demand Node Concept" has been used to locate the transmitter as a Maximal Coverage Location Problem (MCLP). Set Cover Model and Maximal Coverage Location Problem are implemented to obtain feasible solution. Both Set covering model and MCLP are based on the greedy heuristic solutions. Finally we propose two optimization algorithms-optimization algorithm over both Set Cover Problem and MCLP, and Graph based optimization algorithm over NUS.

关键词： demand node optimization algorithm radio network planning covering model

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Optimized registering of film dosimetry to calculated doses for IMRT quality assurance 10th

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World Congress on Medical Physics and Biomedical Engineering

作者： Park, S. Y. Shin, J. W. Yoon, M. G. Shin, D. H. Lee, S. B. Lee, D. H. Kim, D. Y. Cho, K. H. Shin, D. O. Minhaj, M. S. Natl Canc Ctr Res Inst & Hosp 809 Madu 1 Dong Goyang Si Gyeonggi Do South Korea Kyung Hee Univ Dept Radiat Oncol Seoul South Korea Delaware Memorial Hosp Dept Radiat Oncol Drexel Hill PA 19026 USA

ISBN: (纸本)9783540368397

The purpose of this study is to develop a software for optimized registering of film dosimetry with calculated dose for Intensity Modulated Radiation Therapy (IMRT) quality assurance. The newly developed software consists of a film device driver and the verification of fluence map. A film device driver follows the TWAIN 32 protocol. This driver enables us to easily calibrate and scan the films in any film scanner. The fluence map verification software is programmed by C++, which is suitable for the extension of future work. Taking advantages of that multi platform Qt (Trolltech, Norway) GUI library, we have made it run on Windows and Linux operating systems even Mac OSX. For drawing and viewing the fluence map in 2 and 3D, OpenGL (SGI Corp., USA) is implemented. Both absolute point dosimetry and 3D film dosimetry were performed throughout the IMRT using Clinac 21EX's millennium MLC. With these custom-written software modules, the measured and calculated dose distributions for axial planes were superimposed by coincidence of their origins, followed by comparison of the point doses at all matched positions. Then, with the optimization algorithm the setup errors were recovered. We have developed customwritten software modules for managing dose-distribution files, optimizing the position, calculating dose differences, and printing out the report. Differences between the calculated and measured doses over the 3% criterion could be reduced by 15% after applying the optimization algorithm. optimization dramatically reduced the difference between measured and calculated dose distributions in all cases investigated.

关键词： Film dosimetry Intensity Modulated Radiation Therapy Quality Assurance optimization algorithm

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A constrained line search approach to general discriminative HMM training

A constrained line search approach to general discriminative...

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IEEE Workshop on Automatic Speech Recognition and Understanding

作者： Liu, Peng Liu, Cong Jiang, Hui Soong, Frank K. Wang, Ren-Hua Microsoft Res Asia Beijing 100080 Peoples R China Univ Sci & Technol China Hefei Peoples R China Univ York Dept Comp Sci & Engn York YO10 5DD N Yorkshire England

ISBN: (纸本)9781424417452

Recently, we proposed a novel optimization algorithm called constrained line search (CLS) to train Gaussian mean vectors of HMMs in the MMI sense. In this paper, we extend and re-formulate it in a more general framework. The new CLS can optimize any discriminative objective functions including MMI, MCE, MPE/MWE etc. Also, closed-form solutions to update all Gaussian mixture parameters, including means, covariances and mixture weights, are obtained. We investigate the new CLS on several benchmark speech recognition databases, including TIDIGITS, Switchboard mini-train and Switchboard full h5train00 sets. Experimental results show that the new CLS optimization method outperforms the conventional EBW method in both performance and convergence behavior.

关键词： discriminative training optimization algorithm line search Kullback-Leibler divergence

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Research on multi-objective optimal tuning of Auto-Disturbance-Rejection-controller

Research on multi-objective optimal tuning of Auto-Disturban...

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IEEE International Conference on Automation and Logistics

作者： Sun, Dehui Shi, Yuntao Li, Zhijun Zuo, Jiaru Gao, Donglie Univ North China Univ Technol Dept Automat Jinyuanzhuang Rd Beijing Peoples R China Chinese Acad Sci Overall Automat Engn Ctr Inst Automat Beijing Peoples R China

ISBN: (纸本)9781424415304

Nonlinear Auto-Disturbance-Rejection-Control controller tuning problem is investigated. The tuning problem is recast into a multi-objective optimal problem The typical Nonlinear Least Square Method Levenberg-Marqudart algorithm and Min-Max optimization Method is utilized to realize the optimal iteration. A new optimal mechanism is introduced which integrate simulink and optimization toolbox of Matlab. Based on this mechanism the parameters of nonlinear PD and Extended state observer is tuned The result of simulation indicate the multi-objective optimization tuning method is effective.

关键词： ADRC multi-objective optimal method MinMax optimization algorithm Levenberg-Marqudart optimization algorithm

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Computer generated hologram for phase-only optical encryption

Computer generated hologram for phase-only optical encryptio...

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Conference on Practical Holography XXI

作者： Vu, Tien Viet Kim, Nam Gil, Sang-Keun An, Jun-Won Kim, Eun-Kyong Chungbuk Natl Univ Dept Informat & Commun Engn Chungbuk South Korea Suwon Natl Univ Dept Elect Engn Suwon 445743 South Korea Chungbuk Natl Univ Chungbuk 361763 South Korea Yonsei Univ Dept Chem Engn Seoul 120749 South Korea

ISBN: (纸本)9780819466013

An improved image encryption/decryption approach is proposed. In the encryption system, a binary amplitude image is encoded in the Fourier domain. Then, the encoded image is scrambled with a random binary phase image to produce the encrypted image. Both the encoding and encryption processes are done electronically. The encrypted image is stored in an encrypted phase mask of which the transmittance is proportional to the phase components of that image. In the decryption process, the encrypted phase mask is optically descrambled with another phase mask which has the transmittance identical to phase components of the random image used in the encryption process. The descrambled field is inversely Fourier transformed by a Fourier lens in order to reproduce the original image. The simplicity and the misalignment free characteristics are the most significant advantages of our method. The Fourier encoding process using an optimization algorithm with iteration technique is discussed in detail. The effect of noise on the quality of the decrypted image is investigated. The innovation of the system is demonstrated through simulations. The most critical issue of our technique is that the encryption process requires an optimization search which consumes some computation time so that the system is expected to be applied for unreal-time applications.

关键词： optical encryption CGH optimization algorithm phase mask

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Feature enhanced synthetic aperture radar image formation

Feature enhanced synthetic aperture radar image formation

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8th International Conference on Electronic Measurement and Instruments

作者： Sun Bin Jin Haibo Zhejiang Univ Hangzhou 310027 Peoples R China

ISBN: (纸本)1424411351

We propose a feature enhanced image reconstruction method for spotlight mode synthetic aperture radar. Based on the image processing of Computerized tomography model, this method has increased resolution, reduced side lobes and reduced speckle by incorporating prior information regarding the features of interested scattering fields. Also, by using the extensions of half quadratic regularization methods, this algorithm effectively deals with the complex valued, random phrase nature of the underlying SAR reflectivities.

关键词： synthetic aperture radar optimization algorithm reflectivity resolution quasi-Newton method

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Research on collaborative production planning and scheduling of dynamic alliance

Research on collaborative production planning and scheduling...

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IEEE International Conference on Automation and Logistics

作者： Zhang Meihua Li Aiping Xu Liyun Tongji Univ Inst Adv Mfg Technol Shanghai 200092 Peoples R China

ISBN: (纸本)9781424415304

Production planning and scheduling (PPS) in dynamic alliance is a complicated and difficult task as it has to be optimal and collaborative both for the individual enterprise and for the whole dynamic alliance network. To acquire quicker response of production process in dynamic alliance environment, new requirements of PPS are analyzed, and the corresponding collaborative PPS model is established. Moreover, the enabling technologies such as the information exchange, coordination and conflict resolution mechanism and PPS optimization algorithm are discussed. The objective of this paper is to find a satisfactory solution and techniques for the optimization and collaboration of PPS system.

关键词： dynamic alliance collaboration production planning and scheduling negotiation optimization algorithm

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