WorldWideScience

Sample records for automated optimal coordination

  1. Optimal Control and Coordination of Connected and Automated Vehicles at Urban Traffic Intersections

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Yue J. [Boston University; Malikopoulos, Andreas [ORNL; Cassandras, Christos G. [Boston University

    2016-01-01

    We address the problem of coordinating online a continuous flow of connected and automated vehicles (CAVs) crossing two adjacent intersections in an urban area. We present a decentralized optimal control framework whose solution yields for each vehicle the optimal acceleration/deceleration at any time in the sense of minimizing fuel consumption. The solu- tion, when it exists, allows the vehicles to cross the intersections without the use of traffic lights, without creating congestion on the connecting road, and under the hard safety constraint of collision avoidance. The effectiveness of the proposed solution is validated through simulation considering two intersections located in downtown Boston, and it is shown that coordination of CAVs can reduce significantly both fuel consumption and travel time.

  2. On Reaction Coordinate Optimality.

    Science.gov (United States)

    Krivov, Sergei V

    2013-01-01

    The following question is addressed: how to establish that a constructed reaction coordinate is optimal, i.e., that it provides an accurate description of dynamics. It is shown that the reaction coordinate is optimal if its cut free energy profile, determined using length-weighted transitions, is constant, i.e., it is position and sampling interval independent. The observation leads to a number of interesting results. In particular, the equilibrium flux between two boundary states can be computed exactly as diffusion on a free energy profile associated with the coordinate. The mean square displacement, for the trajectory projected onto the coordinate, grows linear with time. That for the same trajectory projected onto a suboptimal coordinate grows slower than linear with time. The results are illustrated on a number of model systems, Sierpinski gasket, FIP35 protein, and beta3s peptide. PMID:26589017

  3. Nonparametric variational optimization of reaction coordinates

    Science.gov (United States)

    Banushkina, Polina V.; Krivov, Sergei V.

    2015-11-01

    State of the art realistic simulations of complex atomic processes commonly produce trajectories of large size, making the development of automated analysis tools very important. A popular approach aimed at extracting dynamical information consists of projecting these trajectories into optimally selected reaction coordinates or collective variables. For equilibrium dynamics between any two boundary states, the committor function also known as the folding probability in protein folding studies is often considered as the optimal coordinate. To determine it, one selects a functional form with many parameters and trains it on the trajectories using various criteria. A major problem with such an approach is that a poor initial choice of the functional form may lead to sub-optimal results. Here, we describe an approach which allows one to optimize the reaction coordinate without selecting its functional form and thus avoiding this source of error.

  4. Nonparametric variational optimization of reaction coordinates

    Energy Technology Data Exchange (ETDEWEB)

    Banushkina, Polina V.; Krivov, Sergei V., E-mail: s.krivov@leeds.ac.uk [Astbury Center for Structural Molecular Biology, Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT (United Kingdom)

    2015-11-14

    State of the art realistic simulations of complex atomic processes commonly produce trajectories of large size, making the development of automated analysis tools very important. A popular approach aimed at extracting dynamical information consists of projecting these trajectories into optimally selected reaction coordinates or collective variables. For equilibrium dynamics between any two boundary states, the committor function also known as the folding probability in protein folding studies is often considered as the optimal coordinate. To determine it, one selects a functional form with many parameters and trains it on the trajectories using various criteria. A major problem with such an approach is that a poor initial choice of the functional form may lead to sub-optimal results. Here, we describe an approach which allows one to optimize the reaction coordinate without selecting its functional form and thus avoiding this source of error.

  5. Optimal Coordination of Automatic Line Switches for Distribution Systems

    Directory of Open Access Journals (Sweden)

    Jyh-Cherng Gu

    2012-04-01

    Full Text Available For the Taiwan Power Company (Taipower, the margins of coordination times between the lateral circuit breakers (LCB of underground 4-way automatic line switches and the protection equipment of high voltage customers are often too small. This could lead to sympathy tripping by the feeder circuit breaker (FCB of the distribution feeder and create difficulties in protection coordination between upstream and downstream protection equipment, identification of faults, and restoration operations. In order to solve the problem, it is necessary to reexamine the protection coordination between LCBs and high voltage customers’ protection equipment, and between LCBs and FCBs, in order to bring forth new proposals for settings and operations. This paper applies linear programming to optimize the protection coordination of protection devices, and proposes new time current curves (TCCs for the overcurrent (CO and low-energy overcurrent (LCO relays used in normally open distribution systems by performing simulations in the Electrical Transient Analyzer Program (ETAP environment. The simulation results show that the new TCCs solve the coordination problems among high voltage customer, lateral, feeder, bus-interconnection, and distribution transformer. The new proposals also satisfy the requirements of Taipower on protection coordination of the distribution feeder automation system (DFAS. Finally, the authors believe that the system configuration, operation experience, and relevant criteria mentioned in this paper may serve as valuable references for other companies or utilities when building DFAS of their own.

  6. Automated selection of LEDs by luminance and chromaticity coordinate

    CERN Document Server

    Fischer, Ulrich H P; Reinboth, Christian

    2010-01-01

    The increased use of LEDs for lighting purposes has led to the development of numerous applications requiring a pre-selection of LEDs by their luminance and / or their chromaticity coordinate. This paper demonstrates how a manual pre-selection process can be realized using a relatively simple configuration. Since a manual selection service can only be commercially viable as long as only small quantities of LEDs need to be sorted, an automated solution suggests itself. This paper introduces such a solution, which has been developed by Harzoptics in close cooperation with Rundfunk Gernrode. The paper also discusses current challenges in measurement technology as well as market trends.

  7. Optimal coordinated voltage control of power systems

    Institute of Scientific and Technical Information of China (English)

    LI Yan-jun; HILL David J.; WU Tie-jun

    2006-01-01

    An immune algorithm solution is proposed in this paper to deal with the problem of optimal coordination of local physically based controllers in order to preserve or retain mid and long term voltage stability. This problem is in fact a global coordination control problem which involves not only sequencing and timing different control devices but also tuning the parameters of controllers. A multi-stage coordinated control scheme is presented, aiming at retaining good voltage levels with minimal control efforts and costs after severe disturbances in power systems. A self-pattern-recognized vaccination procedure is developed to transfer effective heuristic information into the new generation of solution candidates to speed up the convergence of the search procedure to global optima. An example of four bus power system case study is investigated to show the effectiveness and efficiency of the proposed algorithm, compared with several existing approaches such as differential dynamic programming and tree-search.

  8. Optimization-based Method for Automated Road Network Extraction

    Energy Technology Data Exchange (ETDEWEB)

    Xiong, D

    2001-09-18

    Automated road information extraction has significant applicability in transportation. It provides a means for creating, maintaining, and updating transportation network databases that are needed for purposes ranging from traffic management to automated vehicle navigation and guidance. This paper is to review literature on the subject of road extraction and to describe a study of an optimization-based method for automated road network extraction.

  9. Optimization-based Method for Automated Road Network Extraction

    International Nuclear Information System (INIS)

    Automated road information extraction has significant applicability in transportation. It provides a means for creating, maintaining, and updating transportation network databases that are needed for purposes ranging from traffic management to automated vehicle navigation and guidance. This paper is to review literature on the subject of road extraction and to describe a study of an optimization-based method for automated road network extraction

  10. Applications of Intelligent Evolutionary Algorithms in Optimal Automation System Design

    OpenAIRE

    Tung-Kuan Liu; Jyh-Horng Chou

    2011-01-01

    This paper proposes an intelligent evolutionary algorithm that can be applied in the design of optimal automation systems, and employs a multimodal six-bar mechanism optimization design, job shop production scheduling for the fishing equipment industry, and dynamic real-time production scheduling system design cases to show how the technique developed in this paper is highly effective at resolving optimal automation system design problems. Major breakthroughs in artificial intelligence contin...

  11. Tomahawk strike coordinator predesignation : optimizing firing platform and weapon allocation

    OpenAIRE

    Kirk, Brian D.

    1999-01-01

    Ships, submarines, and missiles are currently manually allocated for naval strike warfare tasking. Naval Surface Warfare Center Dahlgren Division has proposed to the Office of Naval Research to develop automated "predesignation" aids that automatically allocate the Tomahawk Land Attack Missile, at both the Tomahawk Strike Coordinator level, and at the individual firing, platform level. A mixed integer program is introduced for Tomahawk Strike Coordinator predesignation, and is implemented in ...

  12. Automated Cache Performance Analysis And Optimization

    Energy Technology Data Exchange (ETDEWEB)

    Mohror, Kathryn [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2013-12-23

    While there is no lack of performance counter tools for coarse-grained measurement of cache activity, there is a critical lack of tools for relating data layout to cache behavior to application performance. Generally, any nontrivial optimizations are either not done at all, or are done ”by hand” requiring significant time and expertise. To the best of our knowledge no tool available to users measures the latency of memory reference instructions for partic- ular addresses and makes this information available to users in an easy-to-use and intuitive way. In this project, we worked to enable the Open|SpeedShop performance analysis tool to gather memory reference latency information for specific instructions and memory ad- dresses, and to gather and display this information in an easy-to-use and intuitive way to aid performance analysts in identifying problematic data structures in their codes. This tool was primarily designed for use in the supercomputer domain as well as grid, cluster, cloud-based parallel e-commerce, and engineering systems and middleware. Ultimately, we envision a tool to automate optimization of application cache layout and utilization in the Open|SpeedShop performance analysis tool. To commercialize this soft- ware, we worked to develop core capabilities for gathering enhanced memory usage per- formance data from applications and create and apply novel methods for automatic data structure layout optimizations, tailoring the overall approach to support existing supercom- puter and cluster programming models and constraints. In this Phase I project, we focused on infrastructure necessary to gather performance data and present it in an intuitive way to users. With the advent of enhanced Precise Event-Based Sampling (PEBS) counters on recent Intel processor architectures and equivalent technology on AMD processors, we are now in a position to access memory reference information for particular addresses. Prior to the introduction of PEBS counters

  13. Optimization Tools For Automated Vehicle Systems

    OpenAIRE

    Shiller, Zvi

    1995-01-01

    This work focuses on computing time-optimal maneuvers which might be used to develop strategies for emergency maneuvers and establishing the vehicle' s performance envelope. The problem of emergency maneuvers is addressed in the context of time optimal control. Time optimal trajectories are computed along specified paths for a nonlinear vehicle model, which considers both lateral and longitudinal motions.

  14. Automated firewall analytics design, configuration and optimization

    CERN Document Server

    Al-Shaer, Ehab

    2014-01-01

    This book provides a comprehensive and in-depth study of automated firewall policy analysis for designing, configuring and managing distributed firewalls in large-scale enterpriser networks. It presents methodologies, techniques and tools for researchers as well as professionals to understand the challenges and improve the state-of-the-art of managing firewalls systematically in both research and application domains. Chapters explore set-theory, managing firewall configuration globally and consistently, access control list with encryption, and authentication such as IPSec policies. The author

  15. Automated beam steering using optimal control

    International Nuclear Information System (INIS)

    We present a steering algorithm which, with the aid of a model, allows the user to specify beam behavior throughout a beamline, rather than just at specified beam position monitor (BPM) locations. The model is used primarily to compute the values of the beam phase vectors from BPM measurements, and to define cost functions that describe the steering objectives. The steering problem is formulated as constrained optimization problem; however, by applying optimal control theory we can reduce it to an unconstrained optimization whose dimension is the number of control signals.

  16. Optimization and Coordination of HAFDV PINN Control by Improved PSO

    OpenAIRE

    Bin Huang; Nengling Tai; Wentao Huang

    2013-01-01

    The new hybrid active filter (HAF) is composed of the larger-capacity passive filter banks and the smaller-capacity active filter. It is difficult to tune the parameters of a PI controller using the DC capacitor voltage control. In this paper, the improved particle swarm optimization (improved PSO) algorithm is proposed to solve the coordinated design problem, and the neural network weights as the particle swarm optimization are adopted to optimize the system parameters. Comparing with the co...

  17. Agent Technology Application in Automating the Coordination and Decision-Making in Supply Chain

    Institute of Scientific and Technical Information of China (English)

    JIE Hui; JI Jian-hua

    2005-01-01

    Coordinating all the activities among all the parties involved in supply chain can be a daunting task. This paper put forth the viewpoint of applying agent technology to automate the coordination and decision-making tasks in a typical home PC industry supply chain. The main features of the proposed approach, which differentiate it cesses and issues faced by parties in the supply chain. A prototype and the overall process flow were also described.

  18. Automated global optimization of commercial SAGD operations

    International Nuclear Information System (INIS)

    The economic optimization of steam assisted gravity drainage (SAGD) operations has been largely conducted through the use of simulations to identify optimal steam use approaches. In this study, the cumulative steam to oil ratio (CSOR) was optimized by altering the steam injection pressure throughout the evolution of the process in a detailed, 3-d reservoir model. A generic Athabasca simulation model was used along with a thermal reservoir simulator which used a corner point grid. A line heater was specified in the grid cells containing the well bores to mimic steam circulation. During heating, the injection and production locations were allowed to produce reservoir fluids from the reservoir to relieve pressure associated with the thermal expansion of oil sand. After steam circulation, the well bores were switched to an SAGD operation. At the producer well the operating constraint imposed a maximum temperature difference between the saturation temperature corresponding to the pressure of the fluids and the temperature in the wellbore equal to 5 degrees C. At the injection well, the steam injection pressure was specified according to the optimizer. A response surface was constructed by fitting the parameter sets and corresponding cost functions to a biquadratic function. After the minimum from the cost function was determined, a new set of parameters was selected to complete the iterations. Results indicated that optimization of SAGD is feasible with complex and detailed reservoir models by using parallel calculations. The general trend determined by the optimization algorithm developed in the research indicated that before the steam chamber contacts the overburden, the operating pressure should be relatively high. After contact is made, the injection pressure should be lowered to reduce heat losses. 17 refs., 1 tab., 5 figs

  19. Optimal Protection Coordination for Microgrid under Different Operating Modes

    OpenAIRE

    Ming-Ta Yang; Li-Feng Chang

    2013-01-01

    Significant consequences result when a microgrid is connected to a distribution system. This study discusses the impacts of bolted three-phase faults and bolted single line-to-ground faults on the protection coordination of a distribution system connected by a microgrid which operates in utility-only mode or in grid-connected mode. The power system simulation software is used to build the test system. The linear programming method is applied to optimize the coordination of relays, and the rel...

  20. Learning the optimal control of coordinated eye and head movements.

    Directory of Open Access Journals (Sweden)

    Sohrab Saeb

    2011-11-01

    Full Text Available Various optimality principles have been proposed to explain the characteristics of coordinated eye and head movements during visual orienting behavior. At the same time, researchers have suggested several neural models to underly the generation of saccades, but these do not include online learning as a mechanism of optimization. Here, we suggest an open-loop neural controller with a local adaptation mechanism that minimizes a proposed cost function. Simulations show that the characteristics of coordinated eye and head movements generated by this model match the experimental data in many aspects, including the relationship between amplitude, duration and peak velocity in head-restrained and the relative contribution of eye and head to the total gaze shift in head-free conditions. Our model is a first step towards bringing together an optimality principle and an incremental local learning mechanism into a unified control scheme for coordinated eye and head movements.

  1. Coordination and Emergence in the Cellular Automated Fashion Game

    CERN Document Server

    Cao, Zhigang; Qu, Xinglong; Yang, Mingmin; Yang, Xiaoguang

    2012-01-01

    We investigate a heterogeneous cellular automaton, where there are two types of agents, conformists and rebels. Each agent has to choose between two actions, 0 and 1. A conformist likes to choose an action that most of her neighbors choose, while in contrast a rebel wants to be different with most of her neighbors. Theoretically, this model is equivalent to the matching pennies game on regular networks. We study the dynamical process by assuming that each agent takes a myopic updating rule. An uniform updating probability is also introduced for each agent to study the whole spectrum from synchronous updating to asynchronous updating. Our model characterizes the phenomenon of fashion very well and has a great potential in the study of the finance and stock markets. A large number of simulations show that in most case agents can reach extraordinarily high degree of coordination. This process is also quite fast and steady. Considering that these dynamics are really simple, agents are selfish, myopic, and have ve...

  2. Towards Automated Design, Analysis and Optimization of Declarative Curation Workflows

    Directory of Open Access Journals (Sweden)

    Tianhong Song

    2014-10-01

    Full Text Available Data curation is increasingly important. Our previous work on a Kepler curation package has demonstrated advantages that come from automating data curation pipelines by using workflow systems. However, manually designed curation workflows can be error-prone and inefficient due to a lack of user understanding of the workflow system, misuse of actors, or human error. Correcting problematic workflows is often very time-consuming. A more proactive workflow system can help users avoid such pitfalls. For example, static analysis before execution can be used to detect the potential problems in a workflow and help the user to improve workflow design. In this paper, we propose a declarative workflow approach that supports semi-automated workflow design, analysis and optimization. We show how the workflow design engine helps users to construct data curation workflows, how the workflow analysis engine detects different design problems of workflows and how workflows can be optimized by exploiting parallelism.

  3. Automated Multivariate Optimization Tool for Energy Analysis: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Ellis, P. G.; Griffith, B. T.; Long, N.; Torcellini, P. A.; Crawley, D.

    2006-07-01

    Building energy simulations are often used for trial-and-error evaluation of ''what-if'' options in building design--a limited search for an optimal solution, or ''optimization''. Computerized searching has the potential to automate the input and output, evaluate many options, and perform enough simulations to account for the complex interactions among combinations of options. This paper describes ongoing efforts to develop such a tool. The optimization tool employs multiple modules, including a graphical user interface, a database, a preprocessor, the EnergyPlus simulation engine, an optimization engine, and a simulation run manager. Each module is described and the overall application architecture is summarized.

  4. Optimal design of coordination control strategy for distributed generation system

    Institute of Scientific and Technical Information of China (English)

    WANG Ai-hua; Norapon Kanjanapadit

    2009-01-01

    This paper presents a novel design procedure for optimizing the power distribution strategy in distributed generation system. A coordinating controller, responsible to distribute the total load power request among multiple DG units, is suggested based on the conception of hierarchical control structure in the dynamic system.The optimal control problem was formulated as a nonlinear optimization problem subject to set of constraints.The resulting problem was solved using the Kutm-Tucker method. Computer simulation results demonstrate that the proposed method can provide better efficiency in terms of reducing total costs compared to existing methods.In addition, the proposed optimal load distribution strategy can be easily implemented in real-time thanks to the simplicity of closed-form solutions.

  5. Block-Coordinate Frank-Wolfe Optimization for Structural SVMs

    OpenAIRE

    Lacoste-Julien, Simon; Jaggi, Martin; Schmidt, Mark; Pletscher, Patrick

    2012-01-01

    We propose a randomized block-coordinate variant of the classic Frank-Wolfe algorithm for convex optimization with block-separable constraints. Despite its lower iteration cost, we show that it achieves a similar convergence rate in duality gap as the full Frank-Wolfe algorithm. We also show that, when applied to the dual structural support vector machine (SVM) objective, this yields an online algorithm that has the same low iteration complexity as primal stochastic subgradient methods. Howev...

  6. Coordinated parallelizing compiler optimizations and high-level synthesis

    OpenAIRE

    S Gupta; Gupta, R. K.; Dutt, N D; Nicolau, A.

    2004-01-01

    We present a high-level synthesis methodology that applies a coordinated set of coarse-grain and fine-grain parallelizing transformations. The transformations are applied both during a presynthesis phase and during scheduling, with the objective of optimizing the results of synthesis and reducing the impact of control flow constructs on the quality of results. We first apply a set of source level presynthesis transformations that include common sub-expression elimination (CSE), copy propagati...

  7. Optimal Protection Coordination for Microgrid under Different Operating Modes

    Directory of Open Access Journals (Sweden)

    Ming-Ta Yang

    2013-01-01

    Full Text Available Significant consequences result when a microgrid is connected to a distribution system. This study discusses the impacts of bolted three-phase faults and bolted single line-to-ground faults on the protection coordination of a distribution system connected by a microgrid which operates in utility-only mode or in grid-connected mode. The power system simulation software is used to build the test system. The linear programming method is applied to optimize the coordination of relays, and the relays coordination simulation software is used to verify if the coordination time intervals (CTIs of the primary/backup relay pairs are adequate. In addition, this study also proposes a relays protection coordination strategy when the microgrid operates in islanding mode during a utility power outage. Because conventional CO/LCO relays are not capable of detecting high impedance fault, intelligent electrical device (IED combined with wavelet transformer and neural network is proposed to accurately detect high impedance fault and identify the fault phase.

  8. A New Hybrid Nelder-Mead Particle Swarm Optimization for Coordination Optimization of Directional Overcurrent Relays

    Directory of Open Access Journals (Sweden)

    An Liu

    2012-01-01

    Full Text Available Coordination optimization of directional overcurrent relays (DOCRs is an important part of an efficient distribution system. This optimization problem involves obtaining the time dial setting (TDS and pickup current (Ip values of each DOCR. The optimal results should have the shortest primary relay operating time for all fault lines. Recently, the particle swarm optimization (PSO algorithm has been considered an effective tool for linear/nonlinear optimization problems with application in the protection and coordination of power systems. With a limited runtime period, the conventional PSO considers the optimal solution as the final solution, and an early convergence of PSO results in decreased overall performance and an increase in the risk of mistaking local optima for global optima. Therefore, this study proposes a new hybrid Nelder-Mead simplex search method and particle swarm optimization (proposed NM-PSO algorithm to solve the DOCR coordination optimization problem. PSO is the main optimizer, and the Nelder-Mead simplex search method is used to improve the efficiency of PSO due to its potential for rapid convergence. To validate the proposal, this study compared the performance of the proposed algorithm with that of PSO and original NM-PSO. The findings demonstrate the outstanding performance of the proposed NM-PSO in terms of computation speed, rate of convergence, and feasibility.

  9. Optimizing Watershed Management by Coordinated Operation of Storing Facilities

    Science.gov (United States)

    Anghileri, Daniela; Castelletti, Andrea; Pianosi, Francesca; Soncini-Sessa, Rodolfo; Weber, Enrico

    2013-04-01

    Water storing facilities in a watershed are very often operated independently one to another to meet specific operating objectives, with no information sharing among the operators. This uncoordinated approach might result in upstream-downstream disputes and conflicts among different water users, or inefficiencies in the watershed management, when looked at from the viewpoint of an ideal central decision-maker. In this study, we propose an approach in two steps to design coordination mechanisms at the watershed scale with the ultimate goal of enlarging the space for negotiated agreements between competing uses and improve the overall system efficiency. First, we compute the multi-objective centralized solution to assess the maximum potential benefits of a shift from a sector-by-sector to an ideal fully coordinated perspective. Then, we analyze the Pareto-optimal operating policies to gain insight into suitable strategies to foster cooperation or impose coordination among the involved agents. The approach is demonstrated on an Alpine watershed in Italy where a long lasting conflict exists between upstream hydropower production and downstream irrigation water users. Results show that a coordination mechanism can be designed that drive the current uncoordinated structure towards the performance of the ideal centralized operation.

  10. Optimal deadlock avoidance Petri net supervisors for automated manufacturing systems

    Institute of Scientific and Technical Information of China (English)

    Keyi XING; Feng TIAN; Xiaojun YANG

    2007-01-01

    Deadlock avoidance problems are investigated for automated manufacturing systems with flexible routings.Based on the Petri net models of the systems, this paper proposes, for the first time, the concept of perfect maximal resourcetransition circuits and their saturated states. The concept facilitates the development of system liveness characterization and deadlock avoidance Petri net supervisors. Deadlock is characterized as some perfect maximal resource-transition circuits reaching their saturated states. For a large class of manufacturing systems, which do not contain center resources, the optimal deadlock avoidance Petri net supervisors are presented. For a general manufacturing system, a method is proposed for reducing the system Petri net model so that the reduced model does not contain center resources and, hence, has optimal deadlock avoidance Petri net supervisor. The controlled reduced Petri net model can then be used as the liveness supervisor of the system.

  11. Automated assay optimization with integrated statistics and smart robotics.

    Science.gov (United States)

    Taylor, P B; Stewart, F P; Dunnington, D J; Quinn, S T; Schulz, C K; Vaidya, K S; Kurali, E; Lane, T R; Xiong, W C; Sherrill, T P; Snider, J S; Terpstra, N D; Hertzberg, R P

    2000-08-01

    The transition from manual to robotic high throughput screening (HTS) in the last few years has made it feasible to screen hundreds of thousands of chemical entities against a biological target in less than a month. This rate of HTS has increased the visibility of bottlenecks, one of which is assay optimization. In many organizations, experimental methods are generated by therapeutic teams associated with specific targets and passed on to the HTS group. The resulting assays frequently need to be further optimized to withstand the rigors and time frames inherent in robotic handling. Issues such as protein aggregation, ligand instability, and cellular viability are common variables in the optimization process. The availability of robotics capable of performing rapid random access tasks has made it possible to design optimization experiments that would be either very difficult or impossible for a person to carry out. Our approach to reducing the assay optimization bottleneck has been to unify the highly specific fields of statistics, biochemistry, and robotics. The product of these endeavors is a process we have named automated assay optimization (AAO). This has enabled us to determine final optimized assay conditions, which are often a composite of variables that we would not have arrived at by examining each variable independently. We have applied this approach to both radioligand binding and enzymatic assays and have realized benefits in both time and performance that we would not have predicted a priori. The fully developed AAO process encompasses the ability to download information to a robot and have liquid handling methods automatically created. This evolution in smart robotics has proven to be an invaluable tool for maintaining high-quality data in the context of increasing HTS demands. PMID:10992042

  12. Knowledge Network Driven Coordination and Robust Optimization to Support Concurrent and Collaborative Parameter Design

    OpenAIRE

    Hu, Jie; Peng, Yinghong; Xiong, Guangleng

    2007-01-01

    Abstract This study presents a parameter coordination and robust optimization approach based on knowledge network modeling. The method allows multidisciplinary designer to synthetically coordinate and optimize parameter considering multidisciplinary knowledge. First, a knowledge network model is established, including design knowledge from assembly, manufacture, performance, and simulation. Second, the parameter coordination method is presented to solve the knowledge network model,...

  13. Optimizing wireless LAN for longwall coal mine automation

    Energy Technology Data Exchange (ETDEWEB)

    Hargrave, C.O.; Ralston, J.C.; Hainsworth, D.W. [Exploration & Mining Commonwealth Science & Industrial Research Organisation, Pullenvale, Qld. (Australia)

    2007-01-15

    A significant development in underground longwall coal mining automation has been achieved with the successful implementation of wireless LAN (WLAN) technology for communication on a longwall shearer. WIreless-FIdelity (Wi-Fi) was selected to meet the bandwidth requirements of the underground data network, and several configurations were installed on operating longwalls to evaluate their performance. Although these efforts demonstrated the feasibility of using WLAN technology in longwall operation, it was clear that new research and development was required in order to establish optimal full-face coverage. By undertaking an accurate characterization of the target environment, it has been possible to achieve great improvements in WLAN performance over a nominal Wi-Fi installation. This paper discusses the impact of Fresnel zone obstructions and multipath effects on radio frequency propagation and reports an optimal antenna and system configuration. Many of the lessons learned in the longwall case are immediately applicable to other underground mining operations, particularly wherever there is a high degree of obstruction from mining equipment.

  14. Development of An Optimization Method for Determining Automation Rate in Nuclear Power Plants

    International Nuclear Information System (INIS)

    Since automation was introduced in various industrial fields, it has been known that automation provides positive effects like greater efficiency and fewer human errors, and negative effect defined as out-of-the-loop (OOTL). Thus, before introducing automation in nuclear field, the estimation of the positive and negative effects of automation on human operators should be conducted. In this paper, by focusing on CPS, the optimization method to find an appropriate proportion of automation is suggested by integrating the suggested cognitive automation rate and the concepts of the level of ostracism. The cognitive automation rate estimation method was suggested to express the reduced amount of human cognitive loads, and the level of ostracism was suggested to express the difficulty in obtaining information from the automation system and increased uncertainty of human operators' diagnosis. The maximized proportion of automation that maintains the high level of attention for monitoring the situation is derived by an experiment, and the automation rate is estimated by the suggested automation rate estimation method. It is expected to derive an appropriate inclusion proportion of the automation system avoiding the OOTL problem and having maximum efficacy at the same time

  15. Optimal Coordinated Strategy Analysis for the Procurement Logistics of a Steel Group

    OpenAIRE

    2014-01-01

    This paper focuses on the optimization of an internal coordinated procurement logistics system in a steel group and the decision on the coordinated procurement strategy by minimizing the logistics costs. Considering the coordinated procurement strategy and the procurement logistics costs, the aim of the optimization model was to maximize the degree of quality satisfaction and to minimize the procurement logistics costs. The model was transformed into a single-objective model and solved using ...

  16. A New View on Geometry Optimization: the Quasi-Independent Curvilinear Coordinate Approximation

    OpenAIRE

    Németh, Károly; Challacombe, Matt

    2004-01-01

    This article presents a new and efficient alternative to well established algorithms for molecular geometry optimization. The new approach exploits the approximate decoupling of molecular energetics in a curvilinear internal coordinate system, allowing separation of the 3N-dimensional optimization problem into an O(N) set of quasi-independent one-dimensional problems. Each uncoupled optimization is developed by a weighted least squares fit of energy gradients in the internal coordinate system...

  17. Optimal Overcurrent Relays Coordination in the Presence Multi TCSC on Power Systems Using BBO Algorithm

    OpenAIRE

    Mohamed Zellagui; Rabah Benabid; Mohamed Boudour; Abdelaziz Chaghi

    2015-01-01

    Optimal coordination of Inverse Definite Minimum Time (IDMT) direction overcurrent relays in the power systems in the presence of multiple Thyristor Controller Series Capacitor (TCSC) on inductive and capacitive operation mode on meshed power system is studied in this paper. The coordination problem is formulated as a non-linear constrained mono-objective optimization problem. The objective function of this optimization problem is the minimization of the operation time (T) of the associated r...

  18. Optimal Coordinated Strategy Analysis for the Procurement Logistics of a Steel Group

    Directory of Open Access Journals (Sweden)

    Lianbo Deng

    2014-01-01

    Full Text Available This paper focuses on the optimization of an internal coordinated procurement logistics system in a steel group and the decision on the coordinated procurement strategy by minimizing the logistics costs. Considering the coordinated procurement strategy and the procurement logistics costs, the aim of the optimization model was to maximize the degree of quality satisfaction and to minimize the procurement logistics costs. The model was transformed into a single-objective model and solved using a simulated annealing algorithm. In the algorithm, the supplier of each subsidiary was selected according to the evaluation result for independent procurement. Finally, the effect of different parameters on the coordinated procurement strategy was analysed. The results showed that the coordinated strategy can clearly save procurement costs; that the strategy appears to be more cooperative when the quality requirement is not stricter; and that the coordinated costs have a strong effect on the coordinated procurement strategy.

  19. An Automated DAKOTA and VULCAN-CFD Framework with Application to Supersonic Facility Nozzle Flowpath Optimization

    Science.gov (United States)

    Axdahl, Erik L.

    2015-01-01

    Removing human interaction from design processes by using automation may lead to gains in both productivity and design precision. This memorandum describes efforts to incorporate high fidelity numerical analysis tools into an automated framework and applying that framework to applications of practical interest. The purpose of this effort was to integrate VULCAN-CFD into an automated, DAKOTA-enabled framework with a proof-of-concept application being the optimization of supersonic test facility nozzles. It was shown that the optimization framework could be deployed on a high performance computing cluster with the flow of information handled effectively to guide the optimization process. Furthermore, the application of the framework to supersonic test facility nozzle flowpath design and optimization was demonstrated using multiple optimization algorithms.

  20. Optimal Coordination of Automatic Line Switches for Distribution Systems

    OpenAIRE

    Jyh-Cherng Gu; Ming-Ta Yang

    2012-01-01

    For the Taiwan Power Company (Taipower), the margins of coordination times between the lateral circuit breakers (LCB) of underground 4-way automatic line switches and the protection equipment of high voltage customers are often too small. This could lead to sympathy tripping by the feeder circuit breaker (FCB) of the distribution feeder and create difficulties in protection coordination between upstream and downstream protection equipment, identification of faults, and restoration operations....

  1. Automated analysis of dUT1 with VieVS using new post-earthquake coordinates for Tsukuba

    Science.gov (United States)

    Kareinen, N.; Uunila, M.

    2013-08-01

    The automated analysis of dUT1 from intensive sessions performed in Aalto University Metsähovi Radio Observatory include IVS-INT2 and IVS-INT3 sessions. These sessions are sensitive to a priori positions of the stations due to the small number of baselines. We analyze IVS-R1 sessions to estimate the new a priori coordinates for Tsukuba affected by the March 2011 Tohoku Earthquake in order to include IVS-INT2 and to improve the accuracy of IVS-INT3 sessions in the analysis. The procedure for utilising new a priori coordinates is automated and included in the dUT1 analysis. It can be utilised in case of another event distrupting the stations in the observation network.

  2. Application of Advanced Particle Swarm Optimization Techniques to Wind-thermal Coordination

    DEFF Research Database (Denmark)

    Singh, Sri Niwas; Østergaard, Jacob; Yadagiri, J.

    wind-thermal coordination algorithm is necessary to determine the optimal proportion of wind and thermal generator capacity that can be integrated into the system. In this paper, four versions of Particle Swarm Optimization (PSO) techniques are proposed for solving wind-thermal coordination problem. A...... pseudo code based algorithm is suggested to deal with the equality constraints of the problem for accelerating the optimization process. The simulation results show that the proposed PSO methods are capable of obtaining higher quality solutions efficiently in wind-thermal coordination problems....

  3. Optimal Coordination of Directional Overcurrent Relays Using PSO-TVAC Considering Series Compensation

    Directory of Open Access Journals (Sweden)

    Nabil Mancer

    2015-01-01

    Full Text Available The integration of system compensation such as Series Compensator (SC into the transmission line makes the coordination of directional overcurrent in a practical power system important and complex. This article presents an efficient variant of Particle Swarm Optimization (PSO algorithm based on Time-Varying Acceleration Coefficients (PSO-TVAC for optimal coordination of directional overcurrent relays (DOCRs considering the integration of series compensation. Simulation results are compared to other methods to confirm the efficiency of the proposed variant PSO in solving the optimal coordination of directional overcurrent relay in the presence of series compensation.

  4. Review of Automated Design and Optimization of MEMS

    DEFF Research Database (Denmark)

    Achiche, Sofiane; Fan, Zhun; Bolognini, Francesca

    2007-01-01

    In recent years MEMS saw a very rapid development. Although many advances have been reached, due to the multiphysics nature of MEMS, their design is still a difficult task carried on mainly by hand calculation. In order to help to overtake such difficulties, attempts to automate MEMS design were...... carried out. This paper presents a review of these techniques. The design task of MEMS is usually divided into four main stages: System Level, Device Level, Physical Level and the Process Level. The state of the art o automated MEMS design in each of these levels is investigated....

  5. Optimal Sampling of a Reaction Coordinate in Molecular Dynamics

    Science.gov (United States)

    Pohorille, Andrew

    2005-01-01

    Estimating how free energy changes with the state of a system is a central goal in applications of statistical mechanics to problems of chemical or biological interest. From these free energy changes it is possible, for example, to establish which states of the system are stable, what are their probabilities and how the equilibria between these states are influenced by external conditions. Free energies are also of great utility in determining kinetics of transitions between different states. A variety of methods have been developed to compute free energies of condensed phase systems. Here, I will focus on one class of methods - those that allow for calculating free energy changes along one or several generalized coordinates in the system, often called reaction coordinates or order parameters . Considering that in almost all cases of practical interest a significant computational effort is required to determine free energy changes along such coordinates it is hardly surprising that efficiencies of different methods are of great concern. In most cases, the main difficulty is associated with its shape along the reaction coordinate. If the free energy changes markedly along this coordinate Boltzmann sampling of its different values becomes highly non-uniform. This, in turn, may have considerable, detrimental effect on the performance of many methods for calculating free energies.

  6. Collective Tuning Initiative: automating and accelerating development and optimization of computing systems

    OpenAIRE

    Fursin, Grigori

    2009-01-01

    International audience Computing systems rarely deliver best possible performance due to ever increasing hardware and software complexity and limitations of the current optimization technology. Additional code and architecture optimizations are often required to improve execution time, size, power consumption, reliability and other important characteristics of computing systems. However, it is often a tedious, repetitive, isolated and time consuming process. In order to automate, simplify ...

  7. Lyapunov-based Low-thrust Optimal Orbit Transfer: An approach in Cartesian coordinates

    CERN Document Server

    Zhang, Hantian; Cao, Qingjie

    2014-01-01

    This paper presents a simple approach to low-thrust optimal-fuel and optimal-time transfer problems between two elliptic orbits using the Cartesian coordinates system. In this case, an orbit is described by its specific angular momentum and Laplace vectors with a free injection point. Trajectory optimization with the pseudospectral method and nonlinear programming are supported by the initial guess generated from the Chang-Chichka-Marsden Lyapunov-based transfer controller. This approach successfully solves several low-thrust optimal problems. Numerical results show that the Lyapunov-based initial guess overcomes the difficulty in optimization caused by the strong oscillation of variables in the Cartesian coordinates system. Furthermore, a comparison of the results shows that obtaining the optimal transfer solution through the polynomial approximation by utilizing Cartesian coordinates is easier than using orbital elements, which normally produce strongly nonlinear equations of motion. In this paper, the Eart...

  8. TO THE QUESTION OF SOLVING OF THE PROBLEM OF OPTIMIZING PARAMETERS OF TRAFFIC FLOW COORDINATED CONTROL

    OpenAIRE

    L. Abramova; Chernobaev, N.

    2007-01-01

    A short review of main methods of traffic flow control is represented, great attention is paid to methods of coordinated control and quality characteristics of traffic control. The problem of parameter optimization of traffic coordinated control on the basis of vehicle delay minimizing at highway intersections has been defined.

  9. COORDINATION MECHANISM COMBINING SUPPLY CHAIN OPTIMIZATION AND RULE IN EXCHANGE

    OpenAIRE

    JINSHI ZHAO; JIAZHEN HUO

    2013-01-01

    There are two kinds of option pricing. The option pricing in exchange follows the Black–Scholes rule but does not consider the optimizing of supply chain. The traditional supply chain option contract can optimize supply chain but does not meet the Black–Scholes rule. We integrate the assumption of above two kinds of option pricing, and design a model to combine the Black–Scholes rule and traditional option contract of optimizing in a supplier-led supply chain. Our combined model can guide the...

  10. Towards Automated Design, Analysis and Optimization of Declarative Curation Workflows

    OpenAIRE

    Tianhong Song; Sven Köhler; Bertram Ludäscher; James Hanken; Maureen Kelly; David Lowery; Macklin, James A.; Morris, Paul J.; Morris, Robert A.

    2014-01-01

    Data curation is increasingly important. Our previous work on a Kepler curation package has demonstrated advantages that come from automating data curation pipelines by using workflow systems. However, manually designed curation workflows can be error-prone and inefficient due to a lack of user understanding of the workflow system, misuse of actors, or human error. Correcting problematic workflows is often very time-consuming. A more proactive workflow system can help users avoid such pitfal...

  11. Multi-objective Genetic Algorithm for System Identification and Controller Optimization of Automated Guided Vehicle

    OpenAIRE

    Xing Wu; Peihuang Lou; Dunbing Tang

    2011-01-01

    This paper presents a multi-objective genetic algorithm (MOGA) with Pareto optimality and elitist tactics for the control system design of automated guided vehicle (AGV). The MOGA is used to identify AGV driving system model and optimize its servo control system sequentially. In system identification, the model identified by least square method is adopted as an evolution tutor who selects the individuals having balanced performances in all objectives as elitists. In controller optimization, t...

  12. Optimization of composite carriage for a coordinate measurement machine

    OpenAIRE

    Lombardi, Marco

    1994-01-01

    The growing need for high quality and reliability of products requires the control of the accuracy of dimensions and shape of product components. Coordinate Measurement Machines (CMM) are now able to measure the dimensions and/or the shape of objects with submicron precision. The desire for high-speed measurement, has stimulated the interest of CMM manufacturers in the use of composite materials for the structure of their machines. Composites are lighter than conventional mater...

  13. A PLM-based automated inspection planning system for coordinate measuring machine

    Science.gov (United States)

    Zhao, Haibin; Wang, Junying; Wang, Boxiong; Wang, Jianmei; Chen, Huacheng

    2006-11-01

    With rapid progress of Product Lifecycle Management (PLM) in manufacturing industry, automatic generation of inspection planning of product and the integration with other activities in product lifecycle play important roles in quality control. But the techniques for these purposes are laggard comparing with techniques of CAD/CAM. Therefore, an automatic inspection planning system for Coordinate Measuring Machine (CMM) was developed to improve the automatization of measuring based on the integration of inspection system in PLM. Feature information representation is achieved based on a PLM canter database; measuring strategy is optimized through the integration of multi-sensors; reasonable number and distribution of inspection points are calculated and designed with the guidance of statistic theory and a synthesis distribution algorithm; a collision avoidance method is proposed to generate non-collision inspection path with high efficiency. Information mapping is performed between Neutral Interchange Files (NIFs), such as STEP, DML, DMIS, XML, etc., to realize information integration with other activities in the product lifecycle like design, manufacturing and inspection execution, etc. Simulation was carried out to demonstrate the feasibility of the proposed system. As a result, the inspection process is becoming simpler and good result can be got based on the integration in PLM.

  14. A sensitivity-based coordination method for optimization of product families

    Science.gov (United States)

    Zou, Jun; Yao, Wei-Xing; Xia, Tian-Xiang

    2016-07-01

    This article provides an introduction to a decomposition-based method for the optimization of product families with predefined platforms. To improve the efficiency of the system coordinator, a new sensitivity-based coordination method (SCM) is proposed. The key idea in SCM is that the system level coordinates share variables by using sensitivity information to make trade-offs between the product subsystems. The coordinated shared variables are determined by minimizing the performance deviation with respect to the optimal design of subproblems and constraint violation incurred by sharing. Each subproblem has a significant degree of independence and can be solved in a simultaneous way. The numerical performance of SCM is investigated, and the results suggest that the new approach is robust and leads to a substantial reduction in computational effort compared with the analytical target cascading method. Then, the proposed methodology is applied to the structural optimization of a family of automotive body side-frames.

  15. An Automated Tool for Optimizing Waste Transportation Routing and Scheduling

    International Nuclear Information System (INIS)

    An automated software tool has been developed and implemented to increase the efficiency and overall life-cycle productivity of site cleanup by scheduling vehicle and container movement between waste generators and disposal sites on the Department of Energy's Oak Ridge Reservation. The software tool identifies the best routes or accepts specifically requested routes and transit times, looks at fleet availability, selects the most cost effective route for each waste stream, and creates a transportation schedule in advance of waste movement. This tool was accepted by the customer and has been implemented. (authors)

  16. Axon Membrane Skeleton Structure is Optimized for Coordinated Sodium Propagation

    CERN Document Server

    Zhang, Yihao; Li, He; Tzingounis, Anastasios V; Lykotrafitis, George

    2016-01-01

    Axons transmit action potentials with high fidelity and minimal jitter. This unique capability is likely the result of the spatiotemporal arrangement of sodium channels along the axon. Super-resolution microscopy recently revealed that the axon membrane skeleton is structured as a series of actin rings connected by spectrin filaments that are held under entropic tension. Sodium channels also exhibit a periodic distribution pattern, as they bind to ankyrin G, which associates with spectrin. Here, we elucidate the relationship between the axon membrane skeleton structure and the function of the axon. By combining cytoskeletal dynamics and continuum diffusion modeling, we show that spectrin filaments under tension minimize the thermal fluctuations of sodium channels and prevent overlap of neighboring channel trajectories. Importantly, this axon skeletal arrangement allows for a highly reproducible band-like activation of sodium channels leading to coordinated sodium propagation along the axon.

  17. Multi-objective intelligent coordinating optimization blending system based on qualitative and quantitative synthetic model

    Institute of Scientific and Technical Information of China (English)

    WANG Ya-lin; MA Jie; GUI Wei-hua; YANG Chun-hua; ZHANG Chuan-fu

    2006-01-01

    A multi-objective intelligent coordinating optimization strategy based on qualitative and quantitative synthetic model for Pb-Zn sintering blending process was proposed to obtain optimal mixture ratio. The mechanism and neural network quantitative models for predicting compositions and rule models for expert reasoning were constructed based on statistical data and empirical knowledge. An expert reasoning method based on these models were proposed to solve blending optimization problem, including multi-objective optimization for the first blending process and area optimization for the second blending process, and to determine optimal mixture ratio which will meet the requirement of intelligent coordination. The results show that the qualified rates of agglomerate Pb, Zn and S compositions are increased by 7.1%, 6.5% and 6.9%, respectively, and the fluctuation of sintering permeability is reduced by 7.0 %, which effectively stabilizes the agglomerate compositions and the permeability.

  18. apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters

    OpenAIRE

    Diehl, Frederik; Jauch, Andreas

    2015-01-01

    The apsis toolkit presented in this paper provides a flexible framework for hyperparameter optimization and includes both random search and a bayesian optimizer. It is implemented in Python and its architecture features adaptability to any desired machine learning code. It can easily be used with common Python ML frameworks such as scikit-learn. Published under the MIT License other researchers are heavily encouraged to check out the code, contribute or raise any suggestions. The code can be ...

  19. Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates

    OpenAIRE

    Zheping Yan; Chao Deng; Benyin Li; Jiajia Zhou

    2014-01-01

    A novel improved particle swarm algorithm named competition particle swarm optimization (CPSO) is proposed to calibrate the Underwater Transponder coordinates. To improve the performance of the algorithm, TVAC algorithm is introduced into CPSO to present an extension competition particle swarm optimization (ECPSO). The proposed method is tested with a set of 10 standard optimization benchmark problems and the results are compared with those obtained through existing PSO algorithms, basic par...

  20. Advanced Coordinating Control System for Power Plant

    Institute of Scientific and Technical Information of China (English)

    WU Peng; WEI Shuangying

    2006-01-01

    The coordinating control system is popular used in power plant. This paper describes the advanced coordinating control by control methods and optimal operation, introduces their principals and features by using the examples of power plant operation. It is wealthy for automation application in optimal power plant operation.

  1. Path optimization by a variational reaction coordinate method. II. Improved computational efficiency through internal coordinates and surface interpolation.

    Science.gov (United States)

    Birkholz, Adam B; Schlegel, H Bernhard

    2016-05-14

    Reaction path optimization is being used more frequently as an alternative to the standard practice of locating a transition state and following the path downhill. The Variational Reaction Coordinate (VRC) method was proposed as an alternative to chain-of-states methods like nudged elastic band and string method. The VRC method represents the path using a linear expansion of continuous basis functions, allowing the path to be optimized variationally by updating the expansion coefficients to minimize the line integral of the potential energy gradient norm, referred to as the Variational Reaction Energy (VRE) of the path. When constraints are used to control the spacing of basis functions and to couple the minimization of the VRE with the optimization of one or more individual points along the path (representing transition states and intermediates), an approximate path as well as the converged geometries of transition states and intermediates along the path are determined in only a few iterations. This algorithmic efficiency comes at a high per-iteration cost due to numerical integration of the VRE derivatives. In the present work, methods for incorporating redundant internal coordinates and potential energy surface interpolation into the VRC method are described. With these methods, the per-iteration cost, in terms of the number of potential energy surface evaluations, of the VRC method is reduced while the high algorithmic efficiency is maintained. PMID:27179465

  2. Path optimization by a variational reaction coordinate method. II. Improved computational efficiency through internal coordinates and surface interpolation

    Science.gov (United States)

    Birkholz, Adam B.; Schlegel, H. Bernhard

    2016-05-01

    Reaction path optimization is being used more frequently as an alternative to the standard practice of locating a transition state and following the path downhill. The Variational Reaction Coordinate (VRC) method was proposed as an alternative to chain-of-states methods like nudged elastic band and string method. The VRC method represents the path using a linear expansion of continuous basis functions, allowing the path to be optimized variationally by updating the expansion coefficients to minimize the line integral of the potential energy gradient norm, referred to as the Variational Reaction Energy (VRE) of the path. When constraints are used to control the spacing of basis functions and to couple the minimization of the VRE with the optimization of one or more individual points along the path (representing transition states and intermediates), an approximate path as well as the converged geometries of transition states and intermediates along the path are determined in only a few iterations. This algorithmic efficiency comes at a high per-iteration cost due to numerical integration of the VRE derivatives. In the present work, methods for incorporating redundant internal coordinates and potential energy surface interpolation into the VRC method are described. With these methods, the per-iteration cost, in terms of the number of potential energy surface evaluations, of the VRC method is reduced while the high algorithmic efficiency is maintained.

  3. Automated Finite Element Modeling of Wing Structures for Shape Optimization

    Science.gov (United States)

    Harvey, Michael Stephen

    1993-01-01

    The displacement formulation of the finite element method is the most general and most widely used technique for structural analysis of airplane configurations. Modem structural synthesis techniques based on the finite element method have reached a certain maturity in recent years, and large airplane structures can now be optimized with respect to sizing type design variables for many load cases subject to a rich variety of constraints including stress, buckling, frequency, stiffness and aeroelastic constraints (Refs. 1-3). These structural synthesis capabilities use gradient based nonlinear programming techniques to search for improved designs. For these techniques to be practical a major improvement was required in computational cost of finite element analyses (needed repeatedly in the optimization process). Thus, associated with the progress in structural optimization, a new perspective of structural analysis has emerged, namely, structural analysis specialized for design optimization application, or.what is known as "design oriented structural analysis" (Ref. 4). This discipline includes approximation concepts and methods for obtaining behavior sensitivity information (Ref. 1), all needed to make the optimization of large structural systems (modeled by thousands of degrees of freedom and thousands of design variables) practical and cost effective.

  4. Automated Discovery of Elementary Chemical Reaction Steps Using Freezing String and Berny Optimization Methods

    OpenAIRE

    Suleimanov, Yury V.; Green, William H.

    2015-01-01

    We present a simple protocol which allows fully automated discovery of elementary chemical reaction steps using in cooperation single- and double-ended transition-state optimization algorithms - the freezing string and Berny optimization methods, respectively. To demonstrate the utility of the proposed approach, the reactivity of several systems of combustion and atmospheric chemistry importance is investigated. The proposed algorithm allowed us to detect without any human intervention not on...

  5. Automated Optimization of Walking Parameters for the Nao Humanoid Robot

    NARCIS (Netherlands)

    N. Girardi; C. Kooijman; A.J. Wiggers; A. Visser

    2013-01-01

    This paper describes a framework for optimizing walking parameters for a Nao humanoid robot. In this case an omnidirectional walk is learned. The parameters are learned in simulation with an evolutionary approach. The best performance was obtained for a combination of a low mutation rate and a high

  6. Automated Optimization of Walking Parameters for the Nao Humanoid Robot

    OpenAIRE

    Girardi, N.; Kooijman, C.; Wiggers, A.J.; de Visser, A.

    2013-01-01

    This paper describes a framework for optimizing walking parameters for a Nao humanoid robot. In this case an omnidirectional walk is learned. The parameters are learned in simulation with an evolutionary approach. The best performance was obtained for a combination of a low mutation rate and a high crossover rate.

  7. Optimizing Supply Chain Performance in China with Country-Specific Supply Chain Coordination

    OpenAIRE

    Herczeg, András; Vastag, Gyula

    2012-01-01

    The implementation of country-specific supply chain coordination techniques ensures an optimal global supply chain performance. This paper looks at success factors going with a supply chain coordination strategy within the global supply chain of a successful, medium-sized, privately-owned company, one having locations in North America (USA), Europe (Hungary) and Asia (China). Through the shown GSL’s Chinese plant, we will endeavor to argue that increased collaboration in the supply network wi...

  8. Integrated Coordinated Optimization Control of Automatic Generation Control and Automatic Voltage Control in Regional Power Grids

    OpenAIRE

    Qiu-Yu Lu; Wei Hu; Le Zheng; Yong Min; Miao Li; Xiao-Ping Li; Wei-Chun Ge; Zhi-Ming Wang

    2012-01-01

    Automatic Generation Control (AGC) and Automatic Voltage Control (AVC) are key approaches to frequency and voltage regulation in power systems. However, based on the assumption of decoupling of active and reactive power control, the existing AGC and AVC systems work independently without any coordination. In this paper, a concept and method of hybrid control is introduced to set up an Integrated Coordinated Optimization Control (ICOC) system for AGC and AVC. Concerning the diversity of contro...

  9. Determinants of the Optimal Network Configuration and the Implications for Coordination

    OpenAIRE

    Patricia Deflorin; Helmut M. Dietl; Markus Lang; Eric Lucas

    2011-01-01

    This paper develops a simulation model to compare the performance of two stylized manufacturing networks: the lead factory network (LFN) and the archetype network (AN). The model identifies the optimal network configuration and its implications for coordination mechanisms. Using an NK simulation model to diffierentiate between exogenous factors (configuration) and endogenous factors (coordination), we find low complexity of the production process, low transfer costs and high search costs, as ...

  10. Optimal Overcurrent Relays Coordination in the Presence Multi TCSC on Power Systems Using BBO Algorithm

    Directory of Open Access Journals (Sweden)

    Mohamed Zellagui

    2015-01-01

    Full Text Available Optimal coordination of Inverse Definite Minimum Time (IDMT direction overcurrent relays in the power systems in the presence of multiple Thyristor Controller Series Capacitor (TCSC on inductive and capacitive operation mode on meshed power system is studied in this paper. The coordination problem is formulated as a non-linear constrained mono-objective optimization problem. The objective function of this optimization problem is the minimization of the operation time (T of the associated relays in the systems, and the decision variables are: the time dial setting (TDS and the pickup current setting (IP of each relay. To solve this complex non linear optimization problem, a variant of evolutionary optimization techniques named Biogeography Based Optimization (BBO is used. The proposed algorithm is validated on IEEE 14-bus transmission network test system considering various scenarios. The obtained results show a high efficiency of the proposed method to solve such complex optimization problem, in such a way the relays coordination is guaranteed for all simulation scenarios with minimum operating time. The results of new relay setting are compared to other optimization algorithms.

  11. Micro-simulation Modeling of Coordination of Automated Guided Vehicles at Intersection

    OpenAIRE

    Makarem, Laleh; Pham, Minh Hai; Dumont, André-Gilles; Gillet, Denis

    2012-01-01

    One of the challenging problems with autonomous vehicles is their performance at intersections. This paper shows an alternative control method for the coordination of autonomous vehicles at intersections. The proposed approach is grounded in multi-robot coordination and it also takes into account vehicle dynamics as well as realistic communication constraints. The existing concept of decentralized navigation functions is combined with a sensing model and a crossing strategy is developed. It i...

  12. AMMOS: Automated Molecular Mechanics Optimization tool for in silico Screening

    Directory of Open Access Journals (Sweden)

    Pajeva Ilza

    2008-10-01

    Full Text Available Abstract Background Virtual or in silico ligand screening combined with other computational methods is one of the most promising methods to search for new lead compounds, thereby greatly assisting the drug discovery process. Despite considerable progresses made in virtual screening methodologies, available computer programs do not easily address problems such as: structural optimization of compounds in a screening library, receptor flexibility/induced-fit, and accurate prediction of protein-ligand interactions. It has been shown that structural optimization of chemical compounds and that post-docking optimization in multi-step structure-based virtual screening approaches help to further improve the overall efficiency of the methods. To address some of these points, we developed the program AMMOS for refining both, the 3D structures of the small molecules present in chemical libraries and the predicted receptor-ligand complexes through allowing partial to full atom flexibility through molecular mechanics optimization. Results The program AMMOS carries out an automatic procedure that allows for the structural refinement of compound collections and energy minimization of protein-ligand complexes using the open source program AMMP. The performance of our package was evaluated by comparing the structures of small chemical entities minimized by AMMOS with those minimized with the Tripos and MMFF94s force fields. Next, AMMOS was used for full flexible minimization of protein-ligands complexes obtained from a mutli-step virtual screening. Enrichment studies of the selected pre-docked complexes containing 60% of the initially added inhibitors were carried out with or without final AMMOS minimization on two protein targets having different binding pocket properties. AMMOS was able to improve the enrichment after the pre-docking stage with 40 to 60% of the initially added active compounds found in the top 3% to 5% of the entire compound collection

  13. Constraints Adjustment and Objectives Coordination of Satisfying Optimal Control Applied to Heavy Oil Fractionators

    Institute of Scientific and Technical Information of China (English)

    邹涛; 李少远

    2005-01-01

    In this paper, the feasibility and objectives coordination of real-time optimization (RTO) are systemically investigated under soft constraints. The reason for requiring soft constraints adjustment and objective relaxation simultaneously is that the result is not satisfactory when the feasible region is apart from the desired working point or the optimization problem is infeasible. The mixed logic method is introduced to describe the priority of the constraints and objectives, thereby the soft constraints adjustment and objectives coordination are solved together in RTO. A case study on the Shell heavy oil fractionators benchmark problem illustrating the method is finally presented.

  14. Automation for pattern library creation and in-design optimization

    Science.gov (United States)

    Deng, Rock; Zou, Elain; Hong, Sid; Wang, Jinyan; Zhang, Yifan; Sweis, Jason; Lai, Ya-Chieh; Ding, Hua; Huang, Jason

    2015-03-01

    contain remedies built in so that fixing happens either automatically or in a guided manner. Building a comprehensive library of patterns is a very difficult task especially when a new technology node is being developed or the process keeps changing. The main dilemma is not having enough representative layouts to use for model simulation where pattern locations can be marked and extracted. This paper will present an automatic pattern library creation flow by using a few known yield detractor patterns to systematically expand the pattern library and generate optimized patterns. We will also look at the specific fixing hints in terms of edge movements, additive, or subtractive changes needed during optimization. Optimization will be shown for both the digital physical implementation and custom design methods.

  15. Optimization of Fuse-Recloser Coordination and Dispersed Generation Capacity in Distribution Systems

    OpenAIRE

    Morteza Nojavan; Heresh Seyedi,; Kazem Zare; Arash Mahari

    2014-01-01

    In this paper, a novel protection of coordinating optimization algorithm is proposed. Maximizing the penetration‘s dispersed generation and at the same time minimizing the fuse’s operating time are the targets. A novel optimization technique, the Imperialistic Competition Algorithm (ICA), is applied to solve the problem. The results of simulations confirm that the proposed method leads to lower operating times of protective devices and higher possible DG penetration, compared with the tra...

  16. Applying Hybrid PSO to Optimize Directional Overcurrent Relay Coordination in Variable Network Topologies

    OpenAIRE

    Ming-Ta Yang; An Liu

    2013-01-01

    In power systems, determining the values of time dial setting (TDS) and the plug setting (PS) for directional overcurrent relays (DOCRs) is an extremely constrained optimization problem that has been previously described and solved as a nonlinear programming problem. Optimization coordination problems of near-end faults and far-end faults occurring simultaneously in circuits with various topologies, including fixed and variable network topologies, are considered in this study. The aim of thi...

  17. Optimal Stochastic Coordinated Beamforming for Wireless Cooperative Networks with CSI Uncertainty

    OpenAIRE

    Shi, Yuanming; Zhang, Jun; Letaief, Khaled B.

    2013-01-01

    Transmit optimization and resource allocation for wireless cooperative networks with channel state information (CSI) uncertainty are important but challenging problems in terms of both the uncertainty modeling and performance op- timization. In this paper, we establish a generic stochastic coordinated beamforming (SCB) framework that provides flex- ibility in the channel uncertainty modeling, while guaranteeing optimality in the transmission strategies. We adopt a general stochastic model for...

  18. Automated gamma knife radiosurgery treatment planning with image registration, data-mining, and Nelder-Mead simplex optimization

    International Nuclear Information System (INIS)

    Gamma knife treatments are usually planned manually, requiring much expertise and time. We describe a new, fully automatic method of treatment planning. The treatment volume to be planned is first compared with a database of past treatments to find volumes closely matching in size and shape. The treatment parameters of the closest matches are used as starting points for the new treatment plan. Further optimization is performed with the Nelder-Mead simplex method: the coordinates and weight of the isocenters are allowed to vary until a maximally conformal plan specific to the new treatment volume is found. The method was tested on a randomly selected set of 10 acoustic neuromas and 10 meningiomas. Typically, matching a new volume took under 30 seconds. The time for simplex optimization, on a 3 GHz Xeon processor, ranged from under a minute for small volumes (30 000 cubic mm,>20 isocenters). In 8/10 acoustic neuromas and 8/10 meningiomas, the automatic method found plans with conformation number equal or better than that of the manual plan. In 4/10 acoustic neuromas and 5/10 meningiomas, both overtreatment and undertreatment ratios were equal or better in automated plans. In conclusion, data-mining of past treatments can be used to derive starting parameters for treatment planning. These parameters can then be computer optimized to give good plans automatically

  19. Application of multi-objective nonlinear optimization technique for coordinated ramp-metering

    International Nuclear Information System (INIS)

    This paper aims at developing a multi-objective nonlinear optimization algorithm applied to coordinated motorway ramp metering. The multi-objective function includes two components: traffic and safety. Off-line simulation studies were performed on A4 France Motorway including 4 on-ramps

  20. Application of multi-objective nonlinear optimization technique for coordinated ramp-metering

    Energy Technology Data Exchange (ETDEWEB)

    Haj Salem, Habib; Farhi, Nadir; Lebacque, Jean Patrick, E-mail: abib.haj-salem@ifsttar.fr, E-mail: nadir.frahi@ifsttar.fr, E-mail: jean-patrick.lebacque@ifsttar.fr [IFSTTAR/GRETITA, 14-20, Bd Newton, 77447 Marne-La-Vallée Cedex2 (France)

    2015-03-10

    This paper aims at developing a multi-objective nonlinear optimization algorithm applied to coordinated motorway ramp metering. The multi-objective function includes two components: traffic and safety. Off-line simulation studies were performed on A4 France Motorway including 4 on-ramps.

  1. Dynamic Coordinated Shifting Control of Automated Mechanical Transmissions without a Clutch in a Plug-In Hybrid Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Xinlei Liu

    2012-08-01

    Full Text Available On the basis of the shifting process of automated mechanical transmissions (AMTs for traditional hybrid electric vehicles (HEVs, and by combining the features of electric machines with fast response speed, the dynamic model of the hybrid electric AMT vehicle powertrain is built up, the dynamic characteristics of each phase of shifting process are analyzed, and a control strategy in which torque and speed of the engine and electric machine are coordinatively controlled to achieve AMT shifting control for a plug-in hybrid electric vehicle (PHEV without clutch is proposed. In the shifting process, the engine and electric machine are well controlled, and the shift jerk and power interruption and restoration time are reduced. Simulation and real car test results show that the proposed control strategy can more efficiently improve the shift quality for PHEVs equipped with AMTs.

  2. Coordinated Optimization of Distributed Energy Resources and Smart Loads in Distribution Systems: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Rui; Zhang, Yingchen

    2016-08-01

    Distributed energy resources (DERs) and smart loads have the potential to provide flexibility to the distribution system operation. A coordinated optimization approach is proposed in this paper to actively manage DERs and smart loads in distribution systems to achieve the optimal operation status. A three-phase unbalanced Optimal Power Flow (OPF) problem is developed to determine the output from DERs and smart loads with respect to the system operator's control objective. This paper focuses on coordinating PV systems and smart loads to improve the overall voltage profile in distribution systems. Simulations have been carried out in a 12-bus distribution feeder and results illustrate the superior control performance of the proposed approach.

  3. An automated workflow for enhancing microbial bioprocess optimization on a novel microbioreactor platform

    Directory of Open Access Journals (Sweden)

    Rohe Peter

    2012-10-01

    Full Text Available Abstract Background High-throughput methods are widely-used for strain screening effectively resulting in binary information regarding high or low productivity. Nevertheless achieving quantitative and scalable parameters for fast bioprocess development is much more challenging, especially for heterologous protein production. Here, the nature of the foreign protein makes it impossible to predict the, e.g. best expression construct, secretion signal peptide, inductor concentration, induction time, temperature and substrate feed rate in fed-batch operation to name only a few. Therefore, a high number of systematic experiments are necessary to elucidate the best conditions for heterologous expression of each new protein of interest. Results To increase the throughput in bioprocess development, we used a microtiter plate based cultivation system (Biolector which was fully integrated into a liquid-handling platform enclosed in laminar airflow housing. This automated cultivation platform was used for optimization of the secretory production of a cutinase from Fusarium solani pisi with Corynebacterium glutamicum. The online monitoring of biomass, dissolved oxygen and pH in each of the microtiter plate wells enables to trigger sampling or dosing events with the pipetting robot used for a reliable selection of best performing cutinase producers. In addition to this, further automated methods like media optimization and induction profiling were developed and validated. All biological and bioprocess parameters were exclusively optimized at microtiter plate scale and showed perfect scalable results to 1 L and 20 L stirred tank bioreactor scale. Conclusions The optimization of heterologous protein expression in microbial systems currently requires extensive testing of biological and bioprocess engineering parameters. This can be efficiently boosted by using a microtiter plate cultivation setup embedded into a liquid-handling system, providing more throughput

  4. A Novel Optimization Tool for Automated Design of Integrated Circuits based on MOSGA

    Directory of Open Access Journals (Sweden)

    Maryam Dehbashian

    2011-11-01

    Full Text Available In this paper a novel optimization method based on Multi-Objective Gravitational Search Algorithm (MOGSA is presented for automated design of analog integrated circuits. The recommended method firstly simulates a selected circuit using a simulator and then simulated results are optimized by MOGSA algorithm. Finally this process continues to meet its optimum result. The main programs of the proposed method have been implemented in MATLAB while analog circuits are simulated by HSPICE software. To show the capability of this method, its proficiency will be examined in the optimization of analog integrated circuits design. In this paper, an analog circuit sizing scheme -Optimum Automated Design of a Temperature independent Differential Op-amp using Widlar Current Source- is illustrated as a case study. The computer results obtained from implementing this method indicate that the design specifications are closely met. Moreover, according to various design criteria, this tool by proposing a varied set of answers can give more options to designers to choose a desirable scheme among other suggested results. MOGSA, the proposal algorithm, introduces a novel method in multi objective optimization on the basis of Gravitational Search Algorithm in which the concept of “Pareto-optimality” is used to determine “non-dominated” positions as well as an external repository to keep these positions. To ensure the accuracy of MOGSA performance, this algorithm is validated using several standard test functions from some specialized literatures. Final results indicate that our method is highly competitive with current multi objective optimization algorithms.

  5. Effect of coordination of optimal reclosing and fuzzy controlled braking resistor on transient stability during unsuccessful reclosing

    OpenAIRE

    Ali, Mohd.Hasan; Murata, Toshiaki; Tamura, Junji

    2006-01-01

    This paper analyzes the effect of the coordination of optimal reclosing and fuzzy logic-controlled braking resistor on the transient stability of a multimachine power system in case of an unsuccessful reclosing of circuit breakers. The transient stability performance of the coordinated operation of optimal reclosing and fuzzy controlled braking resistor is compared to that of the coordinated operation of conventional auto-reclosing and fuzzy controlled braking resistor. The effectiveness of t...

  6. Determination of the Optimized Automation Rate considering Effects of Automation on Human Operators in Nuclear Power Plants

    International Nuclear Information System (INIS)

    Automation refers to the use of a device or a system to perform a function previously performed by a human operator. It is introduced to reduce the human errors and to enhance the performance in various industrial fields, including the nuclear industry. However, these positive effects are not always achieved in complex systems such as nuclear power plants (NPPs). An excessive introduction of automation can generate new roles for human operators and change activities in unexpected ways. As more automation systems are accepted, the ability of human operators to detect automation failures and resume manual control is diminished. This disadvantage of automation is called the Out-of-the- Loop (OOTL) problem. We should consider the positive and negative effects of automation at the same time to determine the appropriate level of the introduction of automation. Thus, in this paper, we suggest an estimation method to consider the positive and negative effects of automation at the same time to determine the appropriate introduction of automation. This concept is limited in that it does not consider the effects of automation on human operators. Thus, a new estimation method for automation rate was suggested to overcome this problem

  7. Optimization of automation: I. Estimation method of cognitive automation rates reflecting the effects of automation on human operators in nuclear power plants

    International Nuclear Information System (INIS)

    Highlights: • We propose an estimation method of the automation rate by taking the advantages of automation as the estimation measures. • We conduct the experiments to examine the validity of the suggested method. • The higher the cognitive automation rate is, the greater the decreased rate of the working time will be. • The usefulness of the suggested estimation method is proved by statistical analyses. - Abstract: Since automation was introduced in various industrial fields, the concept of the automation rate has been used to indicate the inclusion proportion of automation among all work processes or facilities. Expressions of the inclusion proportion of automation are predictable, as is the ability to express the degree of the enhancement of human performance. However, many researchers have found that a high automation rate does not guarantee high performance. Therefore, to reflect the effects of automation on human performance, this paper proposes a new estimation method of the automation rate that considers the effects of automation on human operators in nuclear power plants (NPPs). Automation in NPPs can be divided into two types: system automation and cognitive automation. Some general descriptions and characteristics of each type of automation are provided, and the advantages of automation are investigated. The advantages of each type of automation are used as measures of the estimation method of the automation rate. One advantage was found to be a reduction in the number of tasks, and another was a reduction in human cognitive task loads. The system and the cognitive automation rate were proposed as quantitative measures by taking advantage of the aforementioned benefits. To quantify the required human cognitive task loads and thus suggest the cognitive automation rate, Conant’s information-theory-based model was applied. The validity of the suggested method, especially as regards the cognitive automation rate, was proven by conducting

  8. Optimal Coordinated Control of Power Extraction in LES of a Wind Farm with Entrance Effects

    Directory of Open Access Journals (Sweden)

    Jay P. Goit

    2016-01-01

    Full Text Available We investigate the use of optimal coordinated control techniques in large eddy simulations of wind farm boundary layer interaction with the aim of increasing the total energy extraction in wind farms. The individual wind turbines are considered as flow actuators, and their energy extraction is dynamically regulated in time, so as to optimally influence the flow field. We extend earlier work on wind farm optimal control in the fully-developed regime (Goit and Meyers 2015, J. Fluid Mech. 768, 5–50 to a ‘finite’ wind farm case, in which entrance effects play an important role. For the optimal control, a receding horizon framework is employed in which turbine thrust coefficients are optimized in time and per turbine. Optimization is performed with a conjugate gradient method, where gradients of the cost functional are obtained using adjoint large eddy simulations. Overall, the energy extraction is increased 7% by the optimal control. This increase in energy extraction is related to faster wake recovery throughout the farm. For the first row of turbines, the optimal control increases turbulence levels and Reynolds stresses in the wake, leading to better wake mixing and an inflow velocity for the second row that is significantly higher than in the uncontrolled case. For downstream rows, the optimal control mainly enhances the sideways mean transport of momentum. This is different from earlier observations by Goit and Meyers (2015 in the fully-developed regime, where mainly vertical transport was enhanced.

  9. Comparison and Application of Metaheuristic Population-Based Optimization Algorithms in Manufacturing Automation

    Directory of Open Access Journals (Sweden)

    Rhythm Suren Wadhwa

    2011-11-01

    Full Text Available The paper presents a comparison and application of metaheuristic population-based optimization algorithms to a flexible manufacturing automation scenario in a metacasting foundry. It presents a novel application and comparison of Bee Colony Algorithm (BCA with variations of Particle Swarm Optimization (PSO and Ant Colony Optimization (ACO for object recognition problem in a robot material handling system. To enable robust pick and place activity of metalcasted parts by a six axis industrial robot manipulator, it is important that the correct orientation of the parts is input to the manipulator, via the digital image captured by the vision system. This information is then used for orienting the robot gripper to grip the part from a moving conveyor belt. The objective is to find the reference templates on the manufactured parts from the target landscape picture which may contain noise. The Normalized cross-correlation (NCC function is used as an objection function in the optimization procedure. The ultimate goal is to test improved algorithms that could prove useful in practical manufacturing automation scenarios.

  10. Optimal operation of EDF generation system using decomposition-coordination methods

    International Nuclear Information System (INIS)

    The French electricity generation system comprises several dozens nuclear units (mostly Pressurized Water Reactors), coal and oil-fired units, and several hundreds smaller hydro units, with a total capacity of about 90 000 MW. The various optimal operation problems of that system, whether they cover a few hours (unit scheduling), or several years (unit refuelling), have many characteristics in common: - unit dynamics are decoupled, - technical constraints of one unit are complex, and their formulation sometimes requires integer variables, - there are only a little number of coupling constraints (load-demand equilibrium...). Decomposition-coordination methods (sometimes called Lagrangian relaxation) appear particularly adequate to solve such problems: they make it possible to handle very precisely the technical constraints of each unit, at the decomposition level (each local problem being solved by dynamic programming or linear programming). Global optimization is achieved at the coordination level

  11. OPTIMAL SUBSTRUCTURE OF SET-VALUED SOLUTIONS OF NORMAL-FORM GAMES AND COORDINATION

    Institute of Scientific and Technical Information of China (English)

    Norimasa KOBAYASHI; Kyoichi KIJIMA

    2009-01-01

    A number of solution concepts of normal-form games have been proposed in the literature on subspaces of action profiles that have Nash type stability. While the literature mainly focuses on the minimal of such stable subspaces, this paper argues that non-minimal stable subspaces represent well the multi-agent situations to which neither Nash equilibrium nor rationalizability may be applied with satisfaction. As a theoretical support, the authors prove the optimal substructure of stable subspaces regarding the restriction of a game. It is further argued that the optimal substructure characterizes hierarchical diversity of coordination and interim phases in learning.

  12. Energy Coordinative Optimization of Wind-Storage-Load Microgrids Based on Short-Term Prediction

    OpenAIRE

    Changbin Hu; Shanna Luo; Zhengxi Li; Xin Wang; Li Sun

    2015-01-01

    According to the topological structure of wind-storage-load complementation microgrids, this paper proposes a method for energy coordinative optimization which focuses on improvement of the economic benefits of microgrids in the prediction framework. First of all, the external characteristic mathematical model of distributed generation (DG) units including wind turbines and storage batteries are established according to the requirements of the actual constraints. Meanwhile, using the minimum ...

  13. Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication

    OpenAIRE

    Kia, Solmaz S.; Cortes, Jorge; Martinez, Sonia

    2014-01-01

    This paper proposes a novel class of distributed continuous-time coordination algorithms to solve network optimization problems whose cost function is a sum of local cost functions associated to the individual agents. We establish the exponential convergence of the proposed algorithm under (i) strongly connected and weight-balanced digraph topologies when the local costs are strongly convex with globally Lipschitz gradients, and (ii) connected graph topologies when the local costs are strongl...

  14. Applying Hybrid PSO to Optimize Directional Overcurrent Relay Coordination in Variable Network Topologies

    Directory of Open Access Journals (Sweden)

    Ming-Ta Yang

    2013-01-01

    Full Text Available In power systems, determining the values of time dial setting (TDS and the plug setting (PS for directional overcurrent relays (DOCRs is an extremely constrained optimization problem that has been previously described and solved as a nonlinear programming problem. Optimization coordination problems of near-end faults and far-end faults occurring simultaneously in circuits with various topologies, including fixed and variable network topologies, are considered in this study. The aim of this study was to apply the Nelder-Mead (NM simplex search method and particle swarm optimization (PSO to solve this optimization problem. The proposed NM-PSO method has the advantage of NM algorithm, with a quicker movement toward optimal solution, as well as the advantage of PSO algorithm in the ability to obtain globally optimal solution. Neither a conventional PSO nor the proposed NM-PSO method is capable of dealing with constrained optimization problems. Therefore, we use the gradient-based repair method embedded in a conventional PSO and the proposed NM-PSO. This study used an IEEE 8-bus test system as a case study to compare the convergence performance of the proposed NM-PSO method and a conventional PSO approach. The results demonstrate that a robust and optimal solution can be obtained efficiently by implementing the proposal.

  15. Energy Coordinative Optimization of Wind-Storage-Load Microgrids Based on Short-Term Prediction

    Directory of Open Access Journals (Sweden)

    Changbin Hu

    2015-02-01

    Full Text Available According to the topological structure of wind-storage-load complementation microgrids, this paper proposes a method for energy coordinative optimization which focuses on improvement of the economic benefits of microgrids in the prediction framework. First of all, the external characteristic mathematical model of distributed generation (DG units including wind turbines and storage batteries are established according to the requirements of the actual constraints. Meanwhile, using the minimum consumption costs from the external grid as the objective function, a grey prediction model with residual modification is introduced to output the predictive wind turbine power and load at specific periods. Second, based on the basic framework of receding horizon optimization, an intelligent genetic algorithm (GA is applied to figure out the optimum solution in the predictive horizon for the complex non-linear coordination control model of microgrids. The optimum results of the GA are compared with the receding solution of mixed integer linear programming (MILP. The obtained results show that the method is a viable approach for energy coordinative optimization of microgrid systems for energy flow and reasonable schedule. The effectiveness and feasibility of the proposed method is verified by examples.

  16. Automated Software Testing Using Metahurestic Technique Based on An Ant Colony Optimization

    CERN Document Server

    Srivastava, Praveen Ranjan

    2011-01-01

    Software testing is an important and valuable part of the software development life cycle. Due to time, cost and other circumstances, exhaustive testing is not feasible that's why there is a need to automate the software testing process. Testing effectiveness can be achieved by the State Transition Testing (STT) which is commonly used in real time, embedded and web-based type of software systems. Aim of the current paper is to present an algorithm by applying an ant colony optimization technique, for generation of optimal and minimal test sequences for behavior specification of software. Present paper approach generates test sequence in order to obtain the complete software coverage. This paper also discusses the comparison between two metaheuristic techniques (Genetic Algorithm and Ant Colony optimization) for transition based testing

  17. Coordinated Action of Fast and Slow Reserves for Optimal Sequential and Dynamic Emergency Reserve Activation

    Science.gov (United States)

    Salkuti, Surender Reddy; Bijwe, P. R.; Abhyankar, A. R.

    2016-04-01

    This paper proposes an optimal dynamic reserve activation plan after the occurrence of an emergency situation (generator/transmission line outage, load increase or both). An optimal plan is developed to handle the emergency situation, using coordinated action of fast and slow reserves, for secure operation with minimum overall cost. This paper considers the reserves supplied by generators (spinning reserves) and loads (demand-side reserves). The optimal backing down of costly/fast reserves and bringing up of slow reserves in each sub-interval in an integrated manner is proposed. The simulation studies are performed on IEEE 30, 57 and 300 bus test systems to demonstrate the advantage of proposed integrated/dynamic reserve activation plan over the conventional/sequential approach.

  18. Leveraging information storage to select forecast-optimal parameters for delay-coordinate reconstructions

    Science.gov (United States)

    Garland, Joshua; James, Ryan G.; Bradley, Elizabeth

    2016-02-01

    Delay-coordinate reconstruction is a proven modeling strategy for building effective forecasts of nonlinear time series. The first step in this process is the estimation of good values for two parameters, the time delay and the embedding dimension. Many heuristics and strategies have been proposed in the literature for estimating these values. Few, if any, of these methods were developed with forecasting in mind, however, and their results are not optimal for that purpose. Even so, these heuristics—intended for other applications—are routinely used when building delay coordinate reconstruction-based forecast models. In this paper, we propose an alternate strategy for choosing optimal parameter values for forecast methods that are based on delay-coordinate reconstructions. The basic calculation involves maximizing the shared information between each delay vector and the future state of the system. We illustrate the effectiveness of this method on several synthetic and experimental systems, showing that this metric can be calculated quickly and reliably from a relatively short time series, and that it provides a direct indication of how well a near-neighbor based forecasting method will work on a given delay reconstruction of that time series. This allows a practitioner to choose reconstruction parameters that avoid any pathologies, regardless of the underlying mechanism, and maximize the predictive information contained in the reconstruction.

  19. Leveraging information storage to select forecast-optimal parameters for delay-coordinate reconstructions.

    Science.gov (United States)

    Garland, Joshua; James, Ryan G; Bradley, Elizabeth

    2016-02-01

    Delay-coordinate reconstruction is a proven modeling strategy for building effective forecasts of nonlinear time series. The first step in this process is the estimation of good values for two parameters, the time delay and the embedding dimension. Many heuristics and strategies have been proposed in the literature for estimating these values. Few, if any, of these methods were developed with forecasting in mind, however, and their results are not optimal for that purpose. Even so, these heuristics-intended for other applications-are routinely used when building delay coordinate reconstruction-based forecast models. In this paper, we propose an alternate strategy for choosing optimal parameter values for forecast methods that are based on delay-coordinate reconstructions. The basic calculation involves maximizing the shared information between each delay vector and the future state of the system. We illustrate the effectiveness of this method on several synthetic and experimental systems, showing that this metric can be calculated quickly and reliably from a relatively short time series, and that it provides a direct indication of how well a near-neighbor based forecasting method will work on a given delay reconstruction of that time series. This allows a practitioner to choose reconstruction parameters that avoid any pathologies, regardless of the underlying mechanism, and maximize the predictive information contained in the reconstruction. PMID:26986345

  20. Automated Portfolio Optimization Based on a New Test for Structural Breaks

    Directory of Open Access Journals (Sweden)

    Tobias Berens

    2014-04-01

    Full Text Available We present a completely automated optimization strategy which combines the classical Markowitz mean-variance portfolio theory with a recently proposed test for structural breaks in covariance matrices. With respect to equity portfolios, global minimum-variance optimizations, which base solely on the covariance matrix, yield considerable results in previous studies. However, financial assets cannot be assumed to have a constant covariance matrix over longer periods of time. Hence, we estimate the covariance matrix of the assets by respecting potential change points. The resulting approach resolves the issue of determining a sample for parameter estimation. Moreover, we investigate if this approach is also appropriate for timing the reoptimizations. Finally, we apply the approach to two datasets and compare the results to relevant benchmark techniques by means of an out-of-sample study. It is shown that the new approach outperforms equally weighted portfolios and plain minimum-variance portfolios on average.

  1. Automated Discovery of Elementary Chemical Reaction Steps Using Freezing String and Berny Optimization Methods

    CERN Document Server

    Suleimanov, Yury V

    2015-01-01

    We present a simple protocol which allows fully automated discovery of elementary chemical reaction steps using in cooperation single- and double-ended transition-state optimization algorithms - the freezing string and Berny optimization methods, respectively. To demonstrate the utility of the proposed approach, the reactivity of several systems of combustion and atmospheric chemistry importance is investigated. The proposed algorithm allowed us to detect without any human intervention not only "known" reaction pathways, manually detected in the previous studies, but also new, previously "unknown", reaction pathways which involve significant atom rearrangements. We believe that applying such a systematic approach to elementary reaction path finding will greatly accelerate the possibility of discovery of new chemistry and will lead to more accurate computer simulations of various chemical processes.

  2. Automated Discovery of Elementary Chemical Reaction Steps Using Freezing String and Berny Optimization Methods.

    Science.gov (United States)

    Suleimanov, Yury V; Green, William H

    2015-09-01

    We present a simple protocol which allows fully automated discovery of elementary chemical reaction steps using in cooperation double- and single-ended transition-state optimization algorithms--the freezing string and Berny optimization methods, respectively. To demonstrate the utility of the proposed approach, the reactivity of several single-molecule systems of combustion and atmospheric chemistry importance is investigated. The proposed algorithm allowed us to detect without any human intervention not only "known" reaction pathways, manually detected in the previous studies, but also new, previously "unknown", reaction pathways which involve significant atom rearrangements. We believe that applying such a systematic approach to elementary reaction path finding will greatly accelerate the discovery of new chemistry and will lead to more accurate computer simulations of various chemical processes. PMID:26575920

  3. Selection of an optimal neural network architecture for computer-aided detection of microcalcifications - Comparison of automated optimization techniques

    International Nuclear Information System (INIS)

    Many computer-aided diagnosis (CAD) systems use neural networks (NNs) for either detection or classification of abnormalities. Currently, most NNs are 'optimized' by manual search in a very limited parameter space. In this work, we evaluated the use of automated optimization methods for selecting an optimal convolution neural network (CNN) architecture. Three automated methods, the steepest descent (SD), the simulated annealing (SA), and the genetic algorithm (GA), were compared. We used as an example the CNN that classifies true and false microcalcifications detected on digitized mammograms by a prescreening algorithm. Four parameters of the CNN architecture were considered for optimization, the numbers of node groups and the filter kernel sizes in the first and second hidden layers, resulting in a search space of 432 possible architectures. The area Az under the receiver operating characteristic (ROC) curve was used to design a cost function. The SA experiments were conducted with four different annealing schedules. Three different parent selection methods were compared for the GA experiments. An available data set was split into two groups with approximately equal number of samples. By using the two groups alternately for training and testing, two different cost surfaces were evaluated. For the first cost surface, the SD method was trapped in a local minimum 91% (392/432) of the time. The SA using the Boltzman schedule selected the best architecture after evaluating, on average, 167 architectures. The GA achieved its best performance with linearly scaled roulette-wheel parent selection; however, it evaluated 391 different architectures, on average, to find the best one. The second cost surface contained no local minimum. For this surface, a simple SD algorithm could quickly find the global minimum, but the SA with the very fast reannealing schedule was still the most efficient. The same SA scheme, however, was trapped in a local minimum on the first cost surface

  4. Integrated Coordinated Optimization Control of Automatic Generation Control and Automatic Voltage Control in Regional Power Grids

    Directory of Open Access Journals (Sweden)

    Qiu-Yu Lu

    2012-09-01

    Full Text Available Automatic Generation Control (AGC and Automatic Voltage Control (AVC are key approaches to frequency and voltage regulation in power systems. However, based on the assumption of decoupling of active and reactive power control, the existing AGC and AVC systems work independently without any coordination. In this paper, a concept and method of hybrid control is introduced to set up an Integrated Coordinated Optimization Control (ICOC system for AGC and AVC. Concerning the diversity of control devices and the characteristics of discrete control interaction with a continuously operating power system, the ICOC system is designed in a hierarchical structure and driven by security, quality and economic events, consequently reducing optimization complexity and realizing multi-target quasi-optimization. In addition, an innovative model of Loss Minimization Control (LMC taking into consideration active and reactive power regulation is proposed to achieve a substantial reduction in network losses and a cross iterative method for AGC and AVC instructions is also presented to decrease negative interference between control systems. The ICOC system has already been put into practice in some provincial regional power grids in China. Open-looping operation tests have proved the validity of the presented control strategies.

  5. Optimizing Power and Buffer Congestion on Wireless Sensor Nodes Using CAP (Coordinated Adaptive Power Management Technique

    Directory of Open Access Journals (Sweden)

    Gauri Joshi

    2011-05-01

    Full Text Available Limited hardware capabilities and very limited battery power supply are the two main constraints thatarise because of small size and low cost of the wireless sensor nodes. Power optimization is highlydesired at all the levels in order to have a long lived Wireless Sensor Network (WSN. Prolonging the lifespan of the network is the prime focus in highly energy constrained wireless sensor networks. Sufficientnumber of active nodes can only ensure proper coverage of the sensing field and connectivity of thenetwork. If large number of wireless sensor nodes get their batteries depleted over a short time span thenit is not possible to maintain the network. In order to have long lived network it is mandatory to havelong lived sensor nodes and hence power optimization at node level becomes equally important as poweroptimization at network level. In this paper need for a dynamically adaptive sensor node is signified inorder to optimize power at individual nodes along with the reduction in data loss due to buffercongestion.We have analyzed a sensor node with fixed service rate (processing rate and transmission rate and asensor node with variable service rates for its power consumption and data loss in small sized buffersunder varying traffic (workload conditions. For variable processing rate Dynamic Voltage FrequencyScaling (DVFS technique is considered and for variable transmission rate Dynamic Modulation Scaling(DMS technique is considered. Comparing the results of a dynamically adaptive sensor node with thatof a fixed service rate sensor node shows improvement in the lifetime of node as well as reduction in thedata loss due to buffer congestion. Further we have tried to coordinate the service rates of computationunit and communication unit on a sensor node which give rise to Coordinated Adaptive Power (CAPmanagement. The main objective of CAP Management is to save the power during normal periods andreduce the data loss due to buffer congestion (overflow

  6. Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches

    Science.gov (United States)

    Hutter, Frank; Bartz-Beielstein, Thomas; Hoos, Holger H.; Leyton-Brown, Kevin; Murphy, Kevin P.

    This work experimentally investigates model-based approaches for optimizing the performance of parameterized randomized algorithms. Such approaches build a response surface model and use this model for finding good parameter settings of the given algorithm. We evaluated two methods from the literature that are based on Gaussian process models: sequential parameter optimization (SPO) (Bartz-Beielstein et al. 2005) and sequential Kriging optimization (SKO) (Huang et al. 2006). SPO performed better "out-of-the-box," whereas SKO was competitive when response values were log transformed. We then investigated key design decisions within the SPO paradigm, characterizing the performance consequences of each. Based on these findings, we propose a new version of SPO, dubbed SPO+, which extends SPO with a novel intensification procedure and a log-transformed objective function. In a domain for which performance results for other (modelfree) parameter optimization approaches are available, we demonstrate that SPO+ achieves state-of-the-art performance. Finally, we compare this automated parameter tuning approach to an interactive, manual process that makes use of classical

  7. Multi-objective Genetic Algorithm for System Identification and Controller Optimization of Automated Guided Vehicle

    Directory of Open Access Journals (Sweden)

    Xing Wu

    2011-07-01

    Full Text Available This paper presents a multi-objective genetic algorithm (MOGA with Pareto optimality and elitist tactics for the control system design of automated guided vehicle (AGV. The MOGA is used to identify AGV driving system model and optimize its servo control system sequentially. In system identification, the model identified by least square method is adopted as an evolution tutor who selects the individuals having balanced performances in all objectives as elitists. In controller optimization, the velocity regulating capability required by AGV path tracking is employed as decision-making preferences which select Pareto optimal solutions as elitists. According to different objectives and elitist tactics, several sub-populations are constructed and they evolve concurrently by using independent reproduction, neighborhood mutation and heuristic crossover. The lossless finite precision method and the multi-objective normalized increment distance are proposed to keep the population diversity with a low computational complexity. Experiment results show that the cascaded MOGA have the capability to make the system model consistent with AGV driving system both in amplitude and phase, and to make its servo control system satisfy the requirements on dynamic performance and steady-state accuracy in AGV path tracking.

  8. Optimizing RF gun cavity geometry within an automated injector design system

    Energy Technology Data Exchange (ETDEWEB)

    Alicia Hofler ,Pavel Evtushenko

    2011-03-28

    RF guns play an integral role in the success of several light sources around the world, and properly designed and optimized cw superconducting RF (SRF) guns can provide a path to higher average brightness. As the need for these guns grows, it is important to have automated optimization software tools that vary the geometry of the gun cavity as part of the injector design process. This will allow designers to improve existing designs for present installations, extend the utility of these guns to other applications, and develop new designs. An evolutionary algorithm (EA) based system can provide this capability because EAs can search in parallel a large parameter space (often non-linear) and in a relatively short time identify promising regions of the space for more careful consideration. The injector designer can then evaluate more cavity design parameters during the injector optimization process against the beam performance requirements of the injector. This paper will describe an extension to the APISA software that allows the cavity geometry to be modified as part of the injector optimization and provide examples of its application to existing RF and SRF gun designs.

  9. Aircraft wing structural design optimization based on automated finite element modelling and ground structure approach

    Science.gov (United States)

    Yang, Weizhu; Yue, Zhufeng; Li, Lei; Wang, Peiyan

    2016-01-01

    An optimization procedure combining an automated finite element modelling (AFEM) technique with a ground structure approach (GSA) is proposed for structural layout and sizing design of aircraft wings. The AFEM technique, based on CATIA VBA scripting and PCL programming, is used to generate models automatically considering the arrangement of inner systems. GSA is used for local structural topology optimization. The design procedure is applied to a high-aspect-ratio wing. The arrangement of the integral fuel tank, landing gear and control surfaces is considered. For the landing gear region, a non-conventional initial structural layout is adopted. The positions of components, the number of ribs and local topology in the wing box and landing gear region are optimized to obtain a minimum structural weight. Constraints include tank volume, strength, buckling and aeroelastic parameters. The results show that the combined approach leads to a greater weight saving, i.e. 26.5%, compared with three additional optimizations based on individual design approaches.

  10. Optimization and coordination of South-to-North Water Diversion supply chain with strategic customer behavior

    Directory of Open Access Journals (Sweden)

    Zhi-song CHEN

    2012-12-01

    Full Text Available The South-to-North Water Diversion (SNWD Project is a significant engineering project meant to solve water shortage problems in North China. Faced with market operations management of the water diversion system, this study defined the supply chain system for the SNWD Project, considering the actual project conditions, built a decentralized decision model and a centralized decision model with strategic customer behavior (SCB using a floating pricing mechanism (FPM, and constructed a coordination mechanism via a revenue-sharing contract. The results suggest the following: (1 owing to water shortage supplements and the excess water sale policy provided by the FPM, the optimal ordering quantity of water resources is less than that without the FPM, and the optimal profits of the whole supply chain, supplier, and external distributor are higher than they would be without the FPM; (2 wholesale pricing and supplementary wholesale pricing with SCB are higher than those without SCB, and the optimal profits of the whole supply chain, supplier, and external distributor are higher than they would be without SCB; and (3 considering SCB and introducing the FPM help increase the optimal profits of the whole supply chain, supplier, and external distributor, and improve the efficiency of water resources usage.

  11. Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.

    Science.gov (United States)

    Bogaarts, J G; Gommer, E D; Hilkman, D M W; van Kranen-Mastenbroek, V H J M; Reulen, J P H

    2016-08-01

    Automated seizure detection is a valuable asset to health professionals, which makes adequate treatment possible in order to minimize brain damage. Most research focuses on two separate aspects of automated seizure detection: EEG feature computation and classification methods. Little research has been published regarding optimal training dataset composition for patient-independent seizure detection. This paper evaluates the performance of classifiers trained on different datasets in order to determine the optimal dataset for use in classifier training for automated, age-independent, seizure detection. Three datasets are used to train a support vector machine (SVM) classifier: (1) EEG from neonatal patients, (2) EEG from adult patients and (3) EEG from both neonates and adults. To correct for baseline EEG feature differences among patients feature, normalization is essential. Usually dedicated detection systems are developed for either neonatal or adult patients. Normalization might allow for the development of a single seizure detection system for patients irrespective of their age. Two classifier versions are trained on all three datasets: one with feature normalization and one without. This gives us six different classifiers to evaluate using both the neonatal and adults test sets. As a performance measure, the area under the receiver operating characteristics curve (AUC) is used. With application of FBC, it resulted in performance values of 0.90 and 0.93 for neonatal and adult seizure detection, respectively. For neonatal seizure detection, the classifier trained on EEG from adult patients performed significantly worse compared to both the classifier trained on EEG data from neonatal patients and the classier trained on both neonatal and adult EEG data. For adult seizure detection, optimal performance was achieved by either the classifier trained on adult EEG data or the classifier trained on both neonatal and adult EEG data. Our results show that age

  12. An automated approach to magnetic divertor configuration design, using an efficient optimization methodology

    Energy Technology Data Exchange (ETDEWEB)

    Blommaert, Maarten; Reiter, Detlev [Institute of Energy and Climate Research (IEK-4), FZ Juelich GmbH, D-52425 Juelich (Germany); Heumann, Holger [Centre de Recherche INRIA Sophia Antipolis, BP 93 06902 Sophia Antipolis (France); Baelmans, Martine [KU Leuven, Department of Mechanical Engineering, 3001 Leuven (Belgium); Gauger, Nicolas Ralph [TU Kaiserslautern, Chair for Scientific Computing, 67663 Kaiserslautern (Germany)

    2015-05-01

    At present, several plasma boundary codes exist that attempt to describe the complex interactions in the divertor SOL (Scrape-Off Layer). The predictive capability of these edge codes is still very limited. Yet, in parallel to major efforts to mature edge codes, we face the design challenges for next step fusion devices. One of them is the design of the helium and heat exhaust system. In past automated design studies, results indicated large potential reductions in peak heat load by an increased magnetic flux divergence towards the target structures. In the present study, a free boundary magnetic equilibrium solver is included into the simulation chain to verify these tendencies. Additionally, we expanded the applicability of the automated design method by introducing advanced ''adjoint'' sensitivity computations. This method, inherited from airfoil shape optimization in aerodynamics, allows for a large number of design variables at no additional computational cost. Results are shown for a design application of the new WEST divertor.

  13. Modeling and performance optimization of automated antenna alignment for telecommunication transceivers

    Directory of Open Access Journals (Sweden)

    Md. Ahsanul Hoque

    2015-09-01

    Full Text Available Antenna alignment is very cumbersome in telecommunication industry and it especially affects the MW links due to environmental anomalies or physical degradation over a period of time. While in recent years a more conventional approach of redundancy has been employed but to ensure the LOS link stability, novel automation techniques are needed. The basic principle is to capture the desired Received Signal Level (RSL by means of an outdoor unit installed on tower top and analyzing the RSL in indoor unit by means of a GUI interface. We have proposed a new smart antenna system where automation is initiated when the transceivers receive low signal strength and report the finding to processing comparator unit. Series architecture is used that include loop antenna, RCX Robonics, LabVIEW interface coupled with a tunable external controller. Denavit–Hartenberg parameters are used in analytical modeling and numerous control techniques have been investigated to overcome imminent overshoot problems for the transport link. With this novel approach, a solution has been put forward for the communication industry where any antenna could achieve optimal directivity for desired RSL with low overshoot and fast steady state response.

  14. Automated digital microfluidic platform for magnetic-particle-based immunoassays with optimization by design of experiments.

    Science.gov (United States)

    Choi, Kihwan; Ng, Alphonsus H C; Fobel, Ryan; Chang-Yen, David A; Yarnell, Lyle E; Pearson, Elroy L; Oleksak, Carl M; Fischer, Andrew T; Luoma, Robert P; Robinson, John M; Audet, Julie; Wheeler, Aaron R

    2013-10-15

    We introduce an automated digital microfluidic (DMF) platform capable of performing immunoassays from sample to analysis with minimal manual intervention. This platform features (a) a 90 Pogo pin interface for digital microfluidic control, (b) an integrated (and motorized) photomultiplier tube for chemiluminescent detection, and (c) a magnetic lens assembly which focuses magnetic fields into a narrow region on the surface of the DMF device, facilitating up to eight simultaneous digital microfluidic magnetic separations. The new platform was used to implement a three-level full factorial design of experiments (DOE) optimization for thyroid-stimulating hormone immunoassays, varying (1) the analyte concentration, (2) the sample incubation time, and (3) the sample volume, resulting in an optimized protocol that reduced the detection limit and sample incubation time by up to 5-fold and 2-fold, respectively, relative to those from previous work. To our knowledge, this is the first report of a DOE optimization for immunoassays in a microfluidic system of any format. We propose that this new platform paves the way for a benchtop tool that is useful for implementing immunoassays in near-patient settings, including community hospitals, physicians' offices, and small clinical laboratories. PMID:23978190

  15. An Automated Tool for Optimization of FMS Scheduling With Meta Heuristic Approach

    Directory of Open Access Journals (Sweden)

    A. V. S. Sreedhar Kumar

    2014-03-01

    Full Text Available The evolutions of manufacturing systems have reflected the need and requirement of the market which varies from time to time. Flexible manufacturing systems have contributed a lot to the development of efficient manufacturing process and production of variety of customized limited volume products as per the market demand based on customer needs. Scheduling of FMS is a crucial operation in maximizing throughput, reducing the wastages and increasing the overall efficiency of the manufacturing process. The dynamic nature of the Flexible Manufacturing Systems makes them unique and hence a generalized solution for scheduling is difficult to be abstracted. Any Solution for optimizing the scheduling should take in to account a multitude of parameters before proposing any solution. The primary objective of the proposed research is to design a tool to automate the optimization of scheduling process by searching for solution in the search spaces using Meta heuristic approaches. The research also validates the use of reward as means for optimizing the scheduling by including it as one of the parameters in the Combined Objective Function.

  16. Automated procedure for selection of optimal refueling policies for light water reactors

    International Nuclear Information System (INIS)

    An automated procedure determining a minimum cost refueling policy has been developed for light water reactors. The procedure is an extension of the equilibrium core approach previously devised for pressurized water reactors (PWRs). Use of 1 1/2-group theory has improved the accuracy of the nuclear model and eliminated tedious fitting of albedos. A simple heuristic algorithm for locating a good starting policy has materially reduced PWR computing time. Inclusion of void effects and use of the Haling principle for axial flux calculations extended the nuclear model to boiling water reactors (BWRs). A good initial estimate of the refueling policy is obtained by recognizing that a nearly uniform distribution of reactivity provides low-power peaking. The initial estimate is improved upon by interchanging groups of four assemblies and is subsequently refined by interchanging individual assemblies. The method yields very favorable results, is simpler than previously proposed BWR fuel optimization schemes, and retains power cost as the objective function

  17. Automated design and optimization of flexible booster autopilots via linear programming, volume 1

    Science.gov (United States)

    Hauser, F. D.

    1972-01-01

    A nonlinear programming technique was developed for the automated design and optimization of autopilots for large flexible launch vehicles. This technique, which resulted in the COEBRA program, uses the iterative application of linear programming. The method deals directly with the three main requirements of booster autopilot design: to provide (1) good response to guidance commands; (2) response to external disturbances (e.g. wind) to minimize structural bending moment loads and trajectory dispersions; and (3) stability with specified tolerances on the vehicle and flight control system parameters. The method is applicable to very high order systems (30th and greater per flight condition). Examples are provided that demonstrate the successful application of the employed algorithm to the design of autopilots for both single and multiple flight conditions.

  18. Coordination Between Unmanned Aerial and Ground Vehicles: A Taxonomy and Optimization Perspective.

    Science.gov (United States)

    Chen, Jie; Zhang, Xing; Xin, Bin; Fang, Hao

    2016-04-01

    The coordination between unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) is a proactive research topic whose great value of application has attracted vast attention. This paper outlines the motivations for studying the cooperative control of UAVs and UGVs, and attempts to make a comprehensive investigation and analysis on recent research in this field. First, a taxonomy for classification of existing unmanned aerial and ground vehicles systems (UAGVSs) is proposed, and a generalized optimization framework is developed to allow the decision-making problems for different types of UAGVSs to be described in a unified way. By following the proposed taxonomy, we show how different types of UAGVSs can be built to realize the goal of a common task, that is target tracking, and how optimization problems can be formulated for a UAGVS to perform specific tasks. This paper presents an optimization perspective to model and analyze different types of UAGVSs, and serves as a guidance and reference for developing UAGVSs. PMID:25898328

  19. Path optimization by a variational reaction coordinate method. I. Development of formalism and algorithms.

    Science.gov (United States)

    Birkholz, Adam B; Schlegel, H Bernhard

    2015-12-28

    The development of algorithms to optimize reaction pathways between reactants and products is an active area of study. Existing algorithms typically describe the path as a discrete series of images (chain of states) which are moved downhill toward the path, using various reparameterization schemes, constraints, or fictitious forces to maintain a uniform description of the reaction path. The Variational Reaction Coordinate (VRC) method is a novel approach that finds the reaction path by minimizing the variational reaction energy (VRE) of Quapp and Bofill. The VRE is the line integral of the gradient norm along a path between reactants and products and minimization of VRE has been shown to yield the steepest descent reaction path. In the VRC method, we represent the reaction path by a linear expansion in a set of continuous basis functions and find the optimized path by minimizing the VRE with respect to the linear expansion coefficients. Improved convergence is obtained by applying constraints to the spacing of the basis functions and coupling the minimization of the VRE to the minimization of one or more points along the path that correspond to intermediates and transition states. The VRC method is demonstrated by optimizing the reaction path for the Müller-Brown surface and by finding a reaction path passing through 5 transition states and 4 intermediates for a 10 atom Lennard-Jones cluster. PMID:26723645

  20. Path optimization by a variational reaction coordinate method. I. Development of formalism and algorithms

    International Nuclear Information System (INIS)

    The development of algorithms to optimize reaction pathways between reactants and products is an active area of study. Existing algorithms typically describe the path as a discrete series of images (chain of states) which are moved downhill toward the path, using various reparameterization schemes, constraints, or fictitious forces to maintain a uniform description of the reaction path. The Variational Reaction Coordinate (VRC) method is a novel approach that finds the reaction path by minimizing the variational reaction energy (VRE) of Quapp and Bofill. The VRE is the line integral of the gradient norm along a path between reactants and products and minimization of VRE has been shown to yield the steepest descent reaction path. In the VRC method, we represent the reaction path by a linear expansion in a set of continuous basis functions and find the optimized path by minimizing the VRE with respect to the linear expansion coefficients. Improved convergence is obtained by applying constraints to the spacing of the basis functions and coupling the minimization of the VRE to the minimization of one or more points along the path that correspond to intermediates and transition states. The VRC method is demonstrated by optimizing the reaction path for the Müller-Brown surface and by finding a reaction path passing through 5 transition states and 4 intermediates for a 10 atom Lennard-Jones cluster

  1. An Arterial Signal Coordination Optimization Model for Trams Based on Modified AM-BAND

    Directory of Open Access Journals (Sweden)

    Yangfan Zhou

    2016-01-01

    Full Text Available Modern trams are developing fast because of their characteristics like medium capability and energy saving. Exclusive way is always set in practice to avoid interruption from general vehicles, while trams have to stop at intersections frequently due to signal rules in the road network. Therefore, signal optimization has great effects on operational efficiency of trams system. In this paper, an arterial signal coordination optimization model is proposed for trams progression based on the Asymmetrical Multi-BAND (AM-BAND method. The AM-BAND is modified from the following aspects. Firstly, BAM-BAND is developed by supplementing active bandwidth constraints to AM-BAND. Assisted by the IBM ILOG CPLEX Optimization Studio, two arterial signals plans with eight intersections are achieved from AM-BAND and BAM-BAND for comparison. Secondly, based on the modified BAM-BAND, a BAM-TRAMBAND model is presented, which incorporates three constraints regarding tram operations, including dwell time at stations, active signal priority, and minimum bandwidth value. The case study and VISSIM simulation results show that travel times of trams decrease with signal plan from BAM-TRAMBAND comparing with the original signal plan. Moreover, traffic performance indicators such as stops and delay are improved significantly.

  2. Numerical and experimental analysis of a ducted propeller designed by a fully automated optimization process under open water condition

    Science.gov (United States)

    Yu, Long; Druckenbrod, Markus; Greve, Martin; Wang, Ke-qi; Abdel-Maksoud, Moustafa

    2015-10-01

    A fully automated optimization process is provided for the design of ducted propellers under open water conditions, including 3D geometry modeling, meshing, optimization algorithm and CFD analysis techniques. The developed process allows the direct integration of a RANSE solver in the design stage. A practical ducted propeller design case study is carried out for validation. Numerical simulations and open water tests are fulfilled and proved that the optimum ducted propeller improves hydrodynamic performance as predicted.

  3. Optimized Multi Agent Coordination using Evolutionary Algorithm: Special Impact in Online Education

    Directory of Open Access Journals (Sweden)

    Subrat P Pattanayak

    2012-08-01

    Full Text Available Intelligent multi-agent systems are contemporary direction ofartificial intelligence that is being built up as a result ofresearchers in information processing, distributed systems,network technologies for problem solving. Multi agentcoordination is a vital area where agents coordinate amongthemselves to achieve a particular goal, which either can not besolved by a single agent or is not time effective by a singleagent. The agent’s role in education field is rapidly increasing.Information retrieval, students information processing system,Learning Information System, Pedagogical Agents are variedwork done by different agent technology. The novice usersspecifically are the most useful learners of an E-Tutoringsystem. A multi-agent system plays a vital role in this type ofE-tutoring system. Online Education is an emerging field inEducation System. To improve the interaction betweenlearners and tutors with personalized communication, weproposed an Optimized Multi Agent System (OMAS bywhich a learner can get sufficient information to achieve theirobjective. This conceptual framework is based on the idea that,adaptiveness is the best match between a particular learnersprofile and its course contents. We also try to optimize theprocedure using evolutionary process so that style of thelearner and the learning methods with respect to the learner ismatched with high fitness value. The agent technology hasbeen applied in a varied type of applications for education, butthis system may work as a user friendly conceptual systemwhichcan be integrated with any e-learning software. Use ofthe GUI user interface can make the system moreenriched. When a particular request comes from thelearner, the agents coordinate themselves to get the bestpossible solution. The solution can be represented in ananimated way in front of the learner, so that the noviceusers those who are new to the system, can adopt it veryeasily and with ease.

  4. Design And Modeling An Automated Digsilent Power System For Optimal New Load Locations

    Directory of Open Access Journals (Sweden)

    Mohamed Saad

    2015-08-01

    Full Text Available Abstract The electric power utilities seek to take advantage of novel approaches to meet growing energy demand. Utilities are under pressure to evolve their classical topologies to increase the usage of distributed generation. Currently the electrical power engineers in many regions of the world are implementing manual methods to measure power consumption for farther assessment of voltage violation. Such process proved to be time consuming costly and inaccurate. Also demand response is a grid management technique where retail or wholesale customers are requested either electronically or manually to reduce their load. Therefore this paper aims to design and model an automated power system for optimal new load locations using DPL DIgSILENT Programming Language. This study is a diagnostic approach that assists system operator about any voltage violation cases that would happen during adding new load to the grid. The process of identifying the optimal bus bar location involves a complicated calculation of the power consumptions at each load bus As a result the DPL program would consider all the IEEE 30 bus internal networks data then a load flow simulation will be executed. To add the new load to the first bus in the network. Therefore the developed model will simulate the new load at each available bus bar in the network and generate three analytical reports for each case that captures the overunder voltage and the loading elements among the grid.

  5. Optimal coordinate operation control for wind–photovoltaic–battery storage power-generation units

    International Nuclear Information System (INIS)

    Highlights: • Adopt ‘rainflow’ calculation method to establish the battery cycle life model and quantitatively calculate the life wreck. • Minimize unit cost of power generation through enhanced gravitational search algorithm. • Analyze the relationship between renewable resource potential and the economic efficiency of power generation unit. - Abstract: An optimal coordinate operation control method for large-scale wind–photovoltaic (PV)–battery storage power generation units (WPB-PGUs) connected to a power grid with rated power output was proposed to address the challenges of poor stability, lack of decision-making, and low economic benefits. The “rainflow” calculation method was adopted to establish the battery cycle life model and to calculate quantitatively the life expectancy loss in the operation process. To minimize unit cost of power generation, this work optimized the output period of the equipment and strategy of battery charging and discharging with consideration of working conditions, generation equipment characteristics, and load demand by using the enhanced gravitational search algorithm (EGSA). A case study was conducted on the basis of data obtained using WPB-PGU in Zhangbei, China. Results showed that the proposed method could effectively minimize the unit cost of a WPB-PGU under different scenarios and diverse meteorological conditions. The proposed algorithm has high calculation accuracy and fast convergence speed

  6. Automated telescope scheduling

    Science.gov (United States)

    Johnston, Mark D.

    1988-08-01

    With the ever increasing level of automation of astronomical telescopes the benefits and feasibility of automated planning and scheduling are becoming more apparent. Improved efficiency and increased overall telescope utilization are the most obvious goals. Automated scheduling at some level has been done for several satellite observatories, but the requirements on these systems were much less stringent than on modern ground or satellite observatories. The scheduling problem is particularly acute for Hubble Space Telescope: virtually all observations must be planned in excruciating detail weeks to months in advance. Space Telescope Science Institute has recently made significant progress on the scheduling problem by exploiting state-of-the-art artificial intelligence software technology. What is especially interesting is that this effort has already yielded software that is well suited to scheduling groundbased telescopes, including the problem of optimizing the coordinated scheduling of more than one telescope.

  7. Optimizing human-system interface automation design based on a skill-rule-knowledge framework

    International Nuclear Information System (INIS)

    This study considers the technological change that has occurred in complex systems within the past 30 years. The role of human operators in controlling and interacting with complex systems following the technological change was also investigated. Modernization of instrumentation and control systems and components leads to a new issue of human-automation interaction, in which human operational performance must be considered in automated systems. The human-automation interaction can differ in its types and levels. A system design issue is usually realized: given these technical capabilities, which system functions should be automated and to what extent? A good automation design can be achieved by making an appropriate human-automation function allocation. To our knowledge, only a few studies have been published on how to achieve appropriate automation design with a systematic procedure. Further, there is a surprising lack of information on examining and validating the influences of levels of automation (LOAs) on instrumentation and control systems in the advanced control room (ACR). The study we present in this paper proposed a systematic framework to help in making an appropriate decision towards types of automation (TOA) and LOAs based on a 'Skill-Rule-Knowledge' (SRK) model. From the evaluating results, it was shown that the use of either automatic mode or semiautomatic mode is insufficient to prevent human errors. For preventing the occurrences of human errors and ensuring the safety in ACR, the proposed framework can be valuable for making decisions in human-automation allocation.

  8. Computer-automated multi-disciplinary analysis and design optimization of internally cooled turbine blades

    Science.gov (United States)

    Martin, Thomas Joseph

    This dissertation presents the theoretical methodology, organizational strategy, conceptual demonstration and validation of a fully automated computer program for the multi-disciplinary analysis, inverse design and optimization of convectively cooled axial gas turbine blades and vanes. Parametric computer models of the three-dimensional cooled turbine blades and vanes were developed, including the automatic generation of discretized computational grids. Several new analysis programs were written and incorporated with existing computational tools to provide computer models of the engine cycle, aero-thermodynamics, heat conduction and thermofluid physics of the internally cooled turbine blades and vanes. A generalized information transfer protocol was developed to provide the automatic mapping of geometric and boundary condition data between the parametric design tool and the numerical analysis programs. A constrained hybrid optimization algorithm controlled the overall operation of the system and guided the multi-disciplinary internal turbine cooling design process towards the objectives and constraints of engine cycle performance, aerodynamic efficiency, cooling effectiveness and turbine blade and vane durability. Several boundary element computer programs were written to solve the steady-state non-linear heat conduction equation inside the internally cooled and thermal barrier-coated turbine blades and vanes. The boundary element method (BEM) did not require grid generation inside the internally cooled turbine blades and vanes, so the parametric model was very robust. Implicit differentiations of the BEM thermal and thereto-elastic analyses were done to compute design sensitivity derivatives faster and more accurately than via explicit finite differencing. A factor of three savings of computer processing time was realized for two-dimensional thermal optimization problems, and a factor of twenty was obtained for three-dimensional thermal optimization problems

  9. Model of Stochastic Automation Asymptotically Optimal Behavior for Inter-budget Regulation

    Directory of Open Access Journals (Sweden)

    Elena D. Streltsova

    2013-01-01

    Full Text Available This paper is focused on the topical issue of inter-budget control in the structure ↔ by applying econometric models. To create the decision-making model, mathematical tool of the theory of stochastic automation, operating in random environments was used. On the basis of the application of this mathematical tool, the adaptive training economic and mathematical model, able to adapt to the environment, maintained by the income from the payment of federal and regional taxes and fees, payable to the budget of the constituent entity of the RF and paid to the budget of a lower level in the form of budget regulation was developed. The authors have developed the structure of the machine, described its behavior in a random environment and introduced the expression for the final probabilities of machine in each of its states. The behavioral aspect of the machine by means of a mathematically rigorous proof of the theorem on the feasibility of behavior and the asymptotic optimality of the proposed design of the machine were presented.

  10. Optimal feature selection for automated classification of FDG-PET in patients with suspected dementia

    Science.gov (United States)

    Serag, Ahmed; Wenzel, Fabian; Thiele, Frank; Buchert, Ralph; Young, Stewart

    2009-02-01

    FDG-PET is increasingly used for the evaluation of dementia patients, as major neurodegenerative disorders, such as Alzheimer's disease (AD), Lewy body dementia (LBD), and Frontotemporal dementia (FTD), have been shown to induce specific patterns of regional hypo-metabolism. However, the interpretation of FDG-PET images of patients with suspected dementia is not straightforward, since patients are imaged at different stages of progression of neurodegenerative disease, and the indications of reduced metabolism due to neurodegenerative disease appear slowly over time. Furthermore, different diseases can cause rather similar patterns of hypo-metabolism. Therefore, classification of FDG-PET images of patients with suspected dementia may lead to misdiagnosis. This work aims to find an optimal subset of features for automated classification, in order to improve classification accuracy of FDG-PET images in patients with suspected dementia. A novel feature selection method is proposed, and performance is compared to existing methods. The proposed approach adopts a combination of balanced class distributions and feature selection methods. This is demonstrated to provide high classification accuracy for classification of FDG-PET brain images of normal controls and dementia patients, comparable with alternative approaches, and provides a compact set of features selected.

  11. Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources

    Directory of Open Access Journals (Sweden)

    Luis Marenco

    2014-05-01

    Full Text Available This paper describes how DISCO, the data-aggregator that supports the Neuroscience Information Framework (NIF, has been extended to play a central role in automating the complex workflow required to support and coordinate the NIF's data integration capabilities. The NIF is an NIH Neuroscience Blueprint initiative designed to help researchers access the wealth of data related to the neurosciences available via the Internet. A central component is the NIF Federation, a searchable database that currently contains data from 231 data and information resources regularly harvested, updated, and warehoused in the DISCO system. In the past several years, DISCO has greatly extended its functionality and has evolved to play a central role in automating the complex, ongoing process of harvesting, validating, integrating, and displaying neuroscience data from a growing set of participating resources. This paper provides an overview of DISCO's current capabilities and discusses a number of the challenges and future directions related to the process of coordinating the integration of neuroscience data within the NIF Federation.

  12. Optimal voltage control in distribution systems with coordination of distribution installations

    Energy Technology Data Exchange (ETDEWEB)

    Oshiro, Masato; Tanaka, Kenichi; Uehara, Akie; Senjyu, Tomonobu; Miyazato, Yoshitaka; Yona, Atsushi [Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213 (Japan); Funabashi, Toshihisa [Meidensha Corporation, 2-1-1, Osaki, Shinagawa-ku, Tokyo 141-6029 (Japan)

    2010-12-15

    In recent years, distributed generations based on natural energy or co-generation systems are increasing due to global warming and reduction of fossil fuels. Many of the distributed generations are set up in the vicinity of customers, with the advantage that this decreases transmission losses and transmission capacity. However, output power generated from renewable energy such as wind power and photovoltaics, is influenced by weather conditions. Therefore if the distributed generation increases with conventional control schemes, the voltage variation in a distribution system becomes a serious problem. In this paper, an optimal control method of distribution voltage with coordination of distributed installations, such as On Load Tap Changer (OLTC), Step Voltage Regulator (SVR), Shunt Capacitor (SC), Shunt Reactor (ShR), and Static Var Compensator (SVC), is proposed. In this research, the communication infrastructure is assumed to be widespread in the distribution network. The proposed technique combines genetic algorithm (GA) and Tabu search (TS) to determine the control operation. In order to confirm the validity of the proposed method, simulation results are presented for a distribution network model with distributed (photovoltaic) generation. (author)

  13. Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning

    International Nuclear Information System (INIS)

    Parameter optimization in the process of inverse treatment planning for intensity modulated radiation therapy (IMRT) is mainly conducted by human planners in order to create a plan with the desired dose distribution. To automate this tedious process, an artificial intelligence (AI) guided system was developed and examined. The AI system can automatically accomplish the optimization process based on prior knowledge operated by several fuzzy inference systems (FIS). Prior knowledge, which was collected from human planners during their routine trial-and-error process of inverse planning, has first to be 'translated' to a set of 'if-then rules' for driving the FISs. To minimize subjective error which could be costly during this knowledge acquisition process, it is necessary to find a quantitative method to automatically accomplish this task. A well-developed machine learning technique, based on an adaptive neuro fuzzy inference system (ANFIS), was introduced in this study. Based on this approach, prior knowledge of a fuzzy inference system can be quickly collected from observation data (clinically used constraints). The learning capability and the accuracy of such a system were analyzed by generating multiple FIS from data collected from an AI system with known settings and rules. Multiple analyses showed good agreements of FIS and ANFIS according to rules (error of the output values of ANFIS based on the training data from FIS of 7.77 ± 0.02%) and membership functions (3.9%), thus suggesting that the 'behavior' of an FIS can be propagated to another, based on this process. The initial experimental results on a clinical case showed that ANFIS is an effective way to build FIS from practical data, and analysis of ANFIS and FIS with clinical cases showed good planning results provided by ANFIS. OAR volumes encompassed by characteristic percentages of isodoses were reduced by a mean of between 0 and 28%. The study demonstrated a feasible way

  14. A new module for constrained multi-fragment geometry optimization in internal coordinates implemented in the MOLCAS package.

    Science.gov (United States)

    Vysotskiy, Victor P; Boström, Jonas; Veryazov, Valera

    2013-11-15

    A parallel procedure for an effective optimization of relative position and orientation between two or more fragments has been implemented in the MOLCAS program package. By design, the procedure does not perturb the electronic structure of a system under the study. The original composite system is divided into frozen fragments and internal coordinates linking those fragments are the only optimized parameters. The procedure is capable to handle fully independent (no border atoms) fragments as well as fragments connected by covalent bonds. In the framework of the procedure, the optimization of relative position and orientation of the fragments are carried out in the internal "Z-matrix" coordinates using numerical derivatives. The total number of required single points energy evaluations scales with the number of fragments rather than with the total number of atoms in the system. The accuracy and the performance of the procedure have been studied by test calculations for a representative set of two- and three-fragment molecules with artificially distorted structures. The developed approach exhibits robust and smooth convergence to the reference optimal structures. As only a few internal coordinates are varied during the procedure, the proposed constrained fragment geometry optimization can be afforded even for high level ab initio methods like CCSD(T) and CASPT2. This capability has been demonstrated by applying the method to two larger cases, CCSD(T) and CASPT2 calculations on a positively charged benzene lithium complex and on the oxygen molecule interacting to iron porphyrin molecule, respectively. PMID:24006272

  15. Optimization of automated radiosynthesis of [18F]AV-45: a new PET imaging agent for Alzheimer's disease

    International Nuclear Information System (INIS)

    Introduction: Accumulation of β-amyloid (Aβ) aggregates in the brain is linked to the pathogenesis of Alzheimer's disease (AD). Imaging probes targeting these Aβ aggregates in the brain may provide a useful tool to facilitate the diagnosis of AD. Recently, [18F]AV-45 ([18F]5) demonstrated high binding to the Aβ aggregates in AD patients. To improve the availability of this agent for widespread clinical application, a rapid, fully automated, high-yield, cGMP-compliant radiosynthesis was necessary for production of this probe. We report herein an optimal [18F]fluorination, de-protection condition and fully automated radiosynthesis of [18F]AV-45 ([18F]5) on a radiosynthesis module (BNU F-A2). Methods: The preparation of [18F]AV-45 ([18F]5) was evaluated under different conditions, specifically by employing different precursors (-OTs and -Br as the leaving group), reagents (K222/K2CO3 vs. tributylammonium bicarbonate) and deprotection in different acids. With optimized conditions from these experiments, the automated synthesis of [18F]AV-45 ([18F]5) was accomplished by using a computer-programmed, standard operating procedure, and was purified on an on-line solid-phase cartridge (Oasis HLB). Results: The optimized reaction conditions were successfully implemented to an automated nucleophilic fluorination module. The radiochemical purity of [18F]AV-45 ([18F]5) was >95%, and the automated synthesis yield was 33.6±5.2% (no decay corrected, n=4), 50.1±7.9% (decay corrected) in 50 min at a quantity level of 10-100 mCi (370-3700 MBq). Autoradiography studies of [18F]AV-45 ([18F]5) using postmortem AD brain and Tg mouse brain sections in the presence of different concentration of 'cold' AV-136 showed a relatively low inhibition of in vitro binding of [18F]AV-45 ([18F]5) to the Aβ plaques (IC50=1-4 μM, a concentration several order of magnitude higher than the expected pseudo carrier concentration in the brain). Conclusions: Solid-phase extraction purification and

  16. Electric Vehicle Charging and Discharging Coordination on Distribution Network Using Multi-Objective Particle Swarm Optimization and Fuzzy Decision Making

    Directory of Open Access Journals (Sweden)

    Dongqi Liu

    2016-03-01

    Full Text Available This paper proposed a optimal strategy for coordinated operation of electric vehicles (EVs charging and discharging with wind-thermal system. By aggregating a large number of EVs, the huge total battery capacity is sufficient to stabilize the disturbance of the transmission grid. Hence, a dynamic environmental dispatch model which coordinates a cluster of charging and discharging controllable EV units with wind farms and thermal plants is proposed. A multi-objective particle swarm optimization (MOPSO algorithm and a fuzzy decision maker are put forward for the simultaneous optimization of grid operating cost, CO2 emissions, wind curtailment, and EV users’ cost. Simulations are done in a 30 node system containing three traditional thermal plants, two carbon capture and storage (CCS thermal plants, two wind farms, and six EV aggregations. Contrast of strategies under different EV charging/discharging price is also discussed. The results are presented to prove the effectiveness of the proposed strategy.

  17. Dynamic Coordinated Shifting Control of Automated Mechanical Transmissions without a Clutch in a Plug-In Hybrid Electric Vehicle

    OpenAIRE

    Xinlei Liu; Zhentong Liu; Liming Zhu; Hongwen He

    2012-01-01

    On the basis of the shifting process of automated mechanical transmissions (AMTs) for traditional hybrid electric vehicles (HEVs), and by combining the features of electric machines with fast response speed, the dynamic model of the hybrid electric AMT vehicle powertrain is built up, the dynamic characteristics of each phase of shifting process are analyzed, and a control strategy in which torque and speed of the engine and electric ma...

  18. Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Li; Gao, Yaozong; Shi, Feng; Liao, Shu; Li, Gang [Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina 27599 (United States); Chen, Ken Chung [Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital Research Institute, Houston, Texas 77030 and Department of Stomatology, National Cheng Kung University Medical College and Hospital, Tainan, Taiwan 70403 (China); Shen, Steve G. F.; Yan, Jin [Department of Oral and Craniomaxillofacial Surgery and Science, Shanghai Ninth People' s Hospital, Shanghai Jiao Tong University College of Medicine, Shanghai, China 200011 (China); Lee, Philip K. M.; Chow, Ben [Hong Kong Dental Implant and Maxillofacial Centre, Hong Kong, China 999077 (China); Liu, Nancy X. [Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital Research Institute, Houston, Texas 77030 and Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China 100050 (China); Xia, James J. [Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital Research Institute, Houston, Texas 77030 (United States); Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, New York, New York 10065 (United States); Department of Oral and Craniomaxillofacial Surgery and Science, Shanghai Ninth People' s Hospital, Shanghai Jiao Tong University College of Medicine, Shanghai, China 200011 (China); Shen, Dinggang, E-mail: dgshen@med.unc.edu [Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina 27599 and Department of Brain and Cognitive Engineering, Korea University, Seoul, 136701 (Korea, Republic of)

    2014-04-15

    Purpose: Cone-beam computed tomography (CBCT) is an increasingly utilized imaging modality for the diagnosis and treatment planning of the patients with craniomaxillofacial (CMF) deformities. Accurate segmentation of CBCT image is an essential step to generate three-dimensional (3D) models for the diagnosis and treatment planning of the patients with CMF deformities. However, due to the poor image quality, including very low signal-to-noise ratio and the widespread image artifacts such as noise, beam hardening, and inhomogeneity, it is challenging to segment the CBCT images. In this paper, the authors present a new automatic segmentation method to address these problems. Methods: To segment CBCT images, the authors propose a new method for fully automated CBCT segmentation by using patch-based sparse representation to (1) segment bony structures from the soft tissues and (2) further separate the mandible from the maxilla. Specifically, a region-specific registration strategy is first proposed to warp all the atlases to the current testing subject and then a sparse-based label propagation strategy is employed to estimate a patient-specific atlas from all aligned atlases. Finally, the patient-specific atlas is integrated into amaximum a posteriori probability-based convex segmentation framework for accurate segmentation. Results: The proposed method has been evaluated on a dataset with 15 CBCT images. The effectiveness of the proposed region-specific registration strategy and patient-specific atlas has been validated by comparing with the traditional registration strategy and population-based atlas. The experimental results show that the proposed method achieves the best segmentation accuracy by comparison with other state-of-the-art segmentation methods. Conclusions: The authors have proposed a new CBCT segmentation method by using patch-based sparse representation and convex optimization, which can achieve considerably accurate segmentation results in CBCT

  19. Moving Toward an Optimal and Automated Geospatial Network for CCUS Infrastructure

    Energy Technology Data Exchange (ETDEWEB)

    Hoover, Brendan Arthur [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2016-08-05

    Modifications in the global climate are being driven by the anthropogenic release of greenhouse gases (GHG) including carbon dioxide (CO2) (Middleton et al. 2014). CO2 emissions have, for example, been directly linked to an increase in total global temperature (Seneviratne et al. 2016). Strategies that limit CO2 emissions—like CO2 capture, utilization, and storage (CCUS) technology—can greatly reduce emissions by capturing CO2 before it is released to the atmosphere. However, to date CCUS technology has not been developed at a large commercial scale despite several promising high profile demonstration projects (Middleton et al. 2015). Current CCUS research has often focused on capturing CO2 emissions from coal-fired power plants, but recent research at Los Alamos National Laboratory (LANL) suggests focusing CCUS CO2 capture research upon industrial sources might better encourage CCUS deployment. To further promote industrial CCUS deployment, this project builds off current LANL research by continuing the development of a software tool called SimCCS, which estimates a regional system of transport to inject CO2 into sedimentary basins. The goal of SimCCS, which was first developed by Middleton and Bielicki (2009), is to output an automated and optimal geospatial industrial CCUS pipeline that accounts for industrial source and sink locations by estimating a Delaunay triangle network which also minimizes topographic and social costs (Middleton and Bielicki 2009). Current development of SimCCS is focused on creating a new version that accounts for spatial arrangements that were not available in the previous version. This project specifically addresses the issue of non-unique Delaunay triangles by adding additional triangles to the network, which can affect how the CCUS network is calculated.

  20. Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization

    International Nuclear Information System (INIS)

    Purpose: Cone-beam computed tomography (CBCT) is an increasingly utilized imaging modality for the diagnosis and treatment planning of the patients with craniomaxillofacial (CMF) deformities. Accurate segmentation of CBCT image is an essential step to generate three-dimensional (3D) models for the diagnosis and treatment planning of the patients with CMF deformities. However, due to the poor image quality, including very low signal-to-noise ratio and the widespread image artifacts such as noise, beam hardening, and inhomogeneity, it is challenging to segment the CBCT images. In this paper, the authors present a new automatic segmentation method to address these problems. Methods: To segment CBCT images, the authors propose a new method for fully automated CBCT segmentation by using patch-based sparse representation to (1) segment bony structures from the soft tissues and (2) further separate the mandible from the maxilla. Specifically, a region-specific registration strategy is first proposed to warp all the atlases to the current testing subject and then a sparse-based label propagation strategy is employed to estimate a patient-specific atlas from all aligned atlases. Finally, the patient-specific atlas is integrated into amaximum a posteriori probability-based convex segmentation framework for accurate segmentation. Results: The proposed method has been evaluated on a dataset with 15 CBCT images. The effectiveness of the proposed region-specific registration strategy and patient-specific atlas has been validated by comparing with the traditional registration strategy and population-based atlas. The experimental results show that the proposed method achieves the best segmentation accuracy by comparison with other state-of-the-art segmentation methods. Conclusions: The authors have proposed a new CBCT segmentation method by using patch-based sparse representation and convex optimization, which can achieve considerably accurate segmentation results in CBCT

  1. Optimal Attitude Estimation and Filtering Without Using Local Coordinates Part I: Uncontrolled and Deterministic Attitude Dynamics

    OpenAIRE

    Sanyal, Amit K.

    2005-01-01

    There are several attitude estimation algorithms in existence, all of which use local coordinate representations for the group of rigid body orientations. All local coordinate representations of the group of orientations have associated problems. While minimal coordinate representations exhibit kinematic singularities for large rotations, the quaternion representation requires satisfaction of an extra constraint. This paper treats the attitude estimation and filtering problem as an optimizati...

  2. Patient Dose Optimization in Fluoroscopically Guided Interventional Procedures. Final Report of a Coordinated Research Project

    International Nuclear Information System (INIS)

    In recent years, many surgical procedures have increasingly been replaced by interventional procedures that guide catheters into the arteries under X ray fluoroscopic guidance to perform a variety of operations such as ballooning, embolization, implantation of stents etc. The radiation exposure to patients and staff in such procedures is much higher than in simple radiographic examinations like X ray of chest or abdomen such that radiation induced skin injuries to patients and eye lens opacities among workers have been reported in the 1990's and after. Interventional procedures have grown both in frequency and importance during the last decade. This Coordinated Research Project (CRP) and TECDOC were developed within the International Atomic Energy Agency's (IAEA) framework of statutory responsibility to provide for the worldwide application of the standards for the protection of people against exposure to ionizing radiation. The CRP took place between 2003 and 2005 in six countries, with a view of optimizing the radiation protection of patients undergoing interventional procedures. The Fundamental Safety Principles and the International Basic Safety Standards for Protection against Ionizing Radiation (BSS) issued by the IAEA and co-sponsored by the Food and Agriculture Organization of the United Nations (FAO), the International Labour Organization (ILO), the World Health Organization (WHO), the Pan American Health Organization (PAHO) and the Nuclear Energy Agency (NEA), among others, require the radiation protection of patients undergoing medical exposures through justification of the procedures involved and through optimization. In keeping with its responsibility on the application of standards, the IAEA programme on Radiological Protection of Patients encourages the reduction of patient doses. To facilitate this, it has issued specific advice on the application of the BSS in the field of radiology in Safety Reports Series No. 39 and the three volumes on Radiation

  3. Automated property optimization via ab initio O(N) elongation method: Application to (hyper-)polarizability in DNA

    Science.gov (United States)

    Orimoto, Yuuichi; Aoki, Yuriko

    2016-07-01

    An automated property optimization method was developed based on the ab initio O(N) elongation (ELG) method and applied to the optimization of nonlinear optical (NLO) properties in DNA as a first test. The ELG method mimics a polymerization reaction on a computer, and the reaction terminal of a starting cluster is attacked by monomers sequentially to elongate the electronic structure of the system by solving in each step a limited space including the terminal (localized molecular orbitals at the terminal) and monomer. The ELG-finite field (ELG-FF) method for calculating (hyper-)polarizabilities was used as the engine program of the optimization method, and it was found to show linear scaling efficiency while maintaining high computational accuracy for a random sequenced DNA model. Furthermore, the self-consistent field convergence was significantly improved by using the ELG-FF method compared with a conventional method, and it can lead to more feasible NLO property values in the FF treatment. The automated optimization method successfully chose an appropriate base pair from four base pairs (A, T, G, and C) for each elongation step according to an evaluation function. From test optimizations for the first order hyper-polarizability (β) in DNA, a substantial difference was observed depending on optimization conditions between "choose-maximum" (choose a base pair giving the maximum β for each step) and "choose-minimum" (choose a base pair giving the minimum β). In contrast, there was an ambiguous difference between these conditions for optimizing the second order hyper-polarizability (γ) because of the small absolute value of γ and the limitation of numerical differential calculations in the FF method. It can be concluded that the ab initio level property optimization method introduced here can be an effective step towards an advanced computer aided material design method as long as the numerical limitation of the FF method is taken into account.

  4. Automated property optimization via ab initio O(N) elongation method: Application to (hyper-)polarizability in DNA.

    Science.gov (United States)

    Orimoto, Yuuichi; Aoki, Yuriko

    2016-07-14

    An automated property optimization method was developed based on the ab initio O(N) elongation (ELG) method and applied to the optimization of nonlinear optical (NLO) properties in DNA as a first test. The ELG method mimics a polymerization reaction on a computer, and the reaction terminal of a starting cluster is attacked by monomers sequentially to elongate the electronic structure of the system by solving in each step a limited space including the terminal (localized molecular orbitals at the terminal) and monomer. The ELG-finite field (ELG-FF) method for calculating (hyper-)polarizabilities was used as the engine program of the optimization method, and it was found to show linear scaling efficiency while maintaining high computational accuracy for a random sequenced DNA model. Furthermore, the self-consistent field convergence was significantly improved by using the ELG-FF method compared with a conventional method, and it can lead to more feasible NLO property values in the FF treatment. The automated optimization method successfully chose an appropriate base pair from four base pairs (A, T, G, and C) for each elongation step according to an evaluation function. From test optimizations for the first order hyper-polarizability (β) in DNA, a substantial difference was observed depending on optimization conditions between "choose-maximum" (choose a base pair giving the maximum β for each step) and "choose-minimum" (choose a base pair giving the minimum β). In contrast, there was an ambiguous difference between these conditions for optimizing the second order hyper-polarizability (γ) because of the small absolute value of γ and the limitation of numerical differential calculations in the FF method. It can be concluded that the ab initio level property optimization method introduced here can be an effective step towards an advanced computer aided material design method as long as the numerical limitation of the FF method is taken into account. PMID:27421397

  5. Vibrational quasi-degenerate perturbation theory with optimized coordinates: Applications to ethylene and trans-1,3-butadiene

    International Nuclear Information System (INIS)

    A perturbative extension to optimized coordinate vibrational self-consistent field (oc-VSCF) is proposed based on the quasi-degenerate perturbation theory (QDPT). A scheme to construct the degenerate space (P space) is developed, which incorporates degenerate configurations and alleviates the divergence of perturbative expansion due to localized coordinates in oc-VSCF (e.g., local O–H stretching modes of water). An efficient configuration selection scheme is also implemented, which screens out the Hamiltonian matrix element between the P space configuration (p) and the complementary Q space configuration (q) based on a difference in their quantum numbers (λpq = ∑s|ps − qs|). It is demonstrated that the second-order vibrational QDPT based on optimized coordinates (oc-VQDPT2) smoothly converges with respect to the order of the mode coupling, and outperforms the conventional one based on normal coordinates. Furthermore, an improved, fast algorithm is developed for optimizing the coordinates. First, the minimization of the VSCF energy is conducted in a restricted parameter space, in which only a portion of pairs of coordinates is selectively transformed. A rational index is devised for this purpose, which identifies the important coordinate pairs to mix from others that may remain unchanged based on the magnitude of harmonic coupling induced by the transformation. Second, a cubic force field (CFF) is employed in place of a quartic force field, which bypasses intensive procedures that arise due to the presence of the fourth-order force constants. It is found that oc-VSCF based on CFF together with the pair selection scheme yields the coordinates similar in character to the conventional ones such that the final vibrational energy is affected very little while gaining an order of magnitude acceleration. The proposed method is applied to ethylene and trans-1,3-butadiene. An accurate, multi-resolution potential, which combines the MP2 and coupled-cluster with singles

  6. Optimal Ordering Policy and Coordination Mechanism of a Supply Chain with Controllable Lead-Time-Dependent Demand Forecast

    Directory of Open Access Journals (Sweden)

    Hua-Ming Song

    2011-01-01

    Full Text Available This paper investigates the ordering decisions and coordination mechanism for a distributed short-life-cycle supply chain. The objective is to maximize the whole supply chain's expected profit and meanwhile make the supply chain participants achieve a Pareto improvement. We treat lead time as a controllable variable, thus the demand forecast is dependent on lead time: the shorter lead time, the better forecast. Moreover, optimal decision-making models for lead time and order quantity are formulated and compared in the decentralized and centralized cases. Besides, a three-parameter contract is proposed to coordinate the supply chain and alleviate the double margin in the decentralized scenario. In addition, based on the analysis of the models, we develop an algorithmic procedure to find the optimal ordering decisions. Finally, a numerical example is also presented to illustrate the results.

  7. Optimal Ordering Policy and Coordination Mechanism of a Supply Chain with Controllable Lead-Time-Dependent Demand Forecast

    OpenAIRE

    Jian-Qiang Luo; Hui Yang; Hua-Ming Song

    2011-01-01

    This paper investigates the ordering decisions and coordination mechanism for a distributed short-life-cycle supply chain. The objective is to maximize the whole supply chain's expected profit and meanwhile make the supply chain participants achieve a Pareto improvement. We treat lead time as a controllable variable, thus the demand forecast is dependent on lead time: the shorter lead time, the better forecast. Moreover, optimal decision-making models for lead time and order quantity are form...

  8. Optimal Coordinated Management of a Plug-In Electric Vehicle Charging Station under a Flexible Penalty Contract for Voltage Security

    Directory of Open Access Journals (Sweden)

    Jip Kim

    2016-07-01

    Full Text Available The increasing penetration of plug-in electric vehicles (PEVs may cause a low-voltage problem in the distribution network. In particular, the introduction of charging stations where multiple PEVs are simultaneously charged at the same bus can aggravate the low-voltage problem. Unlike a distribution network operator (DNO who has the overall responsibility for stable and reliable network operation, a charging station operator (CSO may schedule PEV charging without consideration for the resulting severe voltage drop. Therefore, there is a need for the DNO to impose a coordination measure to induce the CSO to adjust its charging schedule to help mitigate the voltage problem. Although the current time-of-use (TOU tariff is an indirect coordination measure that can motivate the CSO to shift its charging demand to off-peak time by imposing a high rate at the peak time, it is limited by its rigidity in that the network voltage condition cannot be flexibly reflected in the tariff. Therefore, a flexible penalty contract (FPC for voltage security to be used as a direct coordination measure is proposed. In addition, the optimal coordinated management is formulated. Using the Pacific Gas and Electric Company (PG&E 69-bus test distribution network, the effectiveness of the coordination was verified by comparison with the current TOU tariff.

  9. Computer-aided method for automated selection of optimal imaging plane for measurement of total cerebral blood flow by MRI

    Science.gov (United States)

    Teng, Pang-yu; Bagci, Ahmet Murat; Alperin, Noam

    2009-02-01

    A computer-aided method for finding an optimal imaging plane for simultaneous measurement of the arterial blood inflow through the 4 vessels leading blood to the brain by phase contrast magnetic resonance imaging is presented. The method performance is compared with manual selection by two observers. The skeletons of the 4 vessels for which centerlines are generated are first extracted. Then, a global direction of the relatively less curved internal carotid arteries is calculated to determine the main flow direction. This is then used as a reference direction to identify segments of the vertebral arteries that strongly deviates from the main flow direction. These segments are then used to identify anatomical landmarks for improved consistency of the imaging plane selection. An optimal imaging plane is then identified by finding a plane with the smallest error value, which is defined as the sum of the angles between the plane's normal and the vessel centerline's direction at the location of the intersections. Error values obtained using the automated and the manual methods were then compared using 9 magnetic resonance angiography (MRA) data sets. The automated method considerably outperformed the manual selection. The mean error value with the automated method was significantly lower than the manual method, 0.09+/-0.07 vs. 0.53+/-0.45, respectively (p<.0001, Student's t-test). Reproducibility of repeated measurements was analyzed using Bland and Altman's test, the mean 95% limits of agreements for the automated and manual method were 0.01~0.02 and 0.43~0.55 respectively.

  10. Improved decomposition–coordination and discrete differential dynamic programming for optimization of large-scale hydropower system

    International Nuclear Information System (INIS)

    Highlights: • Optimization of large-scale hydropower system in the Yangtze River basin. • Improved decomposition–coordination and discrete differential dynamic programming. • Generating initial solution randomly to reduce generation time. • Proposing relative coefficient for more power generation. • Proposing adaptive bias corridor technology to enhance convergence speed. - Abstract: With the construction of major hydro plants, more and more large-scale hydropower systems are taking shape gradually, which brings up a challenge to optimize these systems. Optimization of large-scale hydropower system (OLHS), which is to determine water discharges or water levels of overall hydro plants for maximizing total power generation when subjecting to lots of constrains, is a high dimensional, nonlinear and coupling complex problem. In order to solve the OLHS problem effectively, an improved decomposition–coordination and discrete differential dynamic programming (IDC–DDDP) method is proposed in this paper. A strategy that initial solution is generated randomly is adopted to reduce generation time. Meanwhile, a relative coefficient based on maximum output capacity is proposed for more power generation. Moreover, an adaptive bias corridor technology is proposed to enhance convergence speed. The proposed method is applied to long-term optimal dispatches of large-scale hydropower system (LHS) in the Yangtze River basin. Compared to other methods, IDC–DDDP has competitive performances in not only total power generation but also convergence speed, which provides a new method to solve the OLHS problem

  11. Optimizing TiO2-based phosphopeptide enrichment for automated multidimensional liquid chromatography coupled to tandem mass spectrometry

    OpenAIRE

    Cantin, Greg T.; Shock, Teresa R.; Park, Sung Kyu; Madhani, Hiten D.; Yates, John R.

    2007-01-01

    An automated online multidimensional liquid chromatography system coupled to ESI-based tandem mass spectrometry was used to assess the effectiveness of TiO2 in the enrichment of phosphopeptides from tryptic digests of protein mixtures. By monitoring the enrichment of phosphopeptides, an optimized set of loading, wash, and elution conditions were realized for TiO2. A comparison of TiO2 with other resins used for phosphopeptide enrichment, Fe(III)-IMAC and ZrO2, was also carried out using trypt...

  12. Economic Load Dispatch - A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO

    DEFF Research Database (Denmark)

    Vlachogiannis, Ioannis (John); Lee, KY

    2009-01-01

    In this paper an improved coordinated aggregation-based particle swarm optimization (ICA-PSO) algorithm is introduced for solving the optimal economic load dispatch (ELD) problem in power systems. In the ICA-PSO algorithm each particle in the swarm retains a memory of its best position ever...... particles search the decision space with accuracy up to two digit points resulting in the improved convergence of the process. The ICA-PSO algorithm is tested on a number of power systems, including the systems with 6, 13, 15, and 40 generating units, the island power system of Crete in Greece and the...... Hellenic bulk power system, and is compared with other state-of-the-art heuristic optimization techniques (HOTs), demonstrating improved performance over them....

  13. Guiding automated NMR structure determination using a global optimization metric, the NMR DP score

    Energy Technology Data Exchange (ETDEWEB)

    Huang, Yuanpeng Janet, E-mail: yphuang@cabm.rutgers.edu; Mao, Binchen; Xu, Fei; Montelione, Gaetano T., E-mail: gtm@rutgers.edu [Rutgers, The State University of New Jersey, Department of Molecular Biology and Biochemistry, Center for Advanced Biotechnology and Medicine, and Northeast Structural Genomics Consortium (United States)

    2015-08-15

    ASDP is an automated NMR NOE assignment program. It uses a distinct bottom-up topology-constrained network anchoring approach for NOE interpretation, with 2D, 3D and/or 4D NOESY peak lists and resonance assignments as input, and generates unambiguous NOE constraints for iterative structure calculations. ASDP is designed to function interactively with various structure determination programs that use distance restraints to generate molecular models. In the CASD–NMR project, ASDP was tested and further developed using blinded NMR data, including resonance assignments, either raw or manually-curated (refined) NOESY peak list data, and in some cases {sup 15}N–{sup 1}H residual dipolar coupling data. In these blinded tests, in which the reference structure was not available until after structures were generated, the fully-automated ASDP program performed very well on all targets using both the raw and refined NOESY peak list data. Improvements of ASDP relative to its predecessor program for automated NOESY peak assignments, AutoStructure, were driven by challenges provided by these CASD–NMR data. These algorithmic improvements include (1) using a global metric of structural accuracy, the discriminating power score, for guiding model selection during the iterative NOE interpretation process, and (2) identifying incorrect NOESY cross peak assignments caused by errors in the NMR resonance assignment list. These improvements provide a more robust automated NOESY analysis program, ASDP, with the unique capability of being utilized with alternative structure generation and refinement programs including CYANA, CNS, and/or Rosetta.

  14. Guiding automated NMR structure determination using a global optimization metric, the NMR DP score

    International Nuclear Information System (INIS)

    ASDP is an automated NMR NOE assignment program. It uses a distinct bottom-up topology-constrained network anchoring approach for NOE interpretation, with 2D, 3D and/or 4D NOESY peak lists and resonance assignments as input, and generates unambiguous NOE constraints for iterative structure calculations. ASDP is designed to function interactively with various structure determination programs that use distance restraints to generate molecular models. In the CASD–NMR project, ASDP was tested and further developed using blinded NMR data, including resonance assignments, either raw or manually-curated (refined) NOESY peak list data, and in some cases 15N–1H residual dipolar coupling data. In these blinded tests, in which the reference structure was not available until after structures were generated, the fully-automated ASDP program performed very well on all targets using both the raw and refined NOESY peak list data. Improvements of ASDP relative to its predecessor program for automated NOESY peak assignments, AutoStructure, were driven by challenges provided by these CASD–NMR data. These algorithmic improvements include (1) using a global metric of structural accuracy, the discriminating power score, for guiding model selection during the iterative NOE interpretation process, and (2) identifying incorrect NOESY cross peak assignments caused by errors in the NMR resonance assignment list. These improvements provide a more robust automated NOESY analysis program, ASDP, with the unique capability of being utilized with alternative structure generation and refinement programs including CYANA, CNS, and/or Rosetta

  15. GENPLAT: an automated platform for biomass enzyme discovery and cocktail optimization.

    Science.gov (United States)

    Walton, Jonathan; Banerjee, Goutami; Car, Suzana

    2011-01-01

    The high cost of enzymes for biomass deconstruction is a major impediment to the economic conversion of lignocellulosic feedstocks to liquid transportation fuels such as ethanol. We have developed an integrated high throughput platform, called GENPLAT, for the discovery and development of novel enzymes and enzyme cocktails for the release of sugars from diverse pretreatment/biomass combinations. GENPLAT comprises four elements: individual pure enzymes, statistical design of experiments, robotic pipeting of biomass slurries and enzymes, and automated colorimeteric determination of released Glc and Xyl. Individual enzymes are produced by expression in Pichia pastoris or Trichoderma reesei, or by chromatographic purification from commercial cocktails or from extracts of novel microorganisms. Simplex lattice (fractional factorial) mixture models are designed using commercial Design of Experiment statistical software. Enzyme mixtures of high complexity are constructed using robotic pipeting into a 96-well format. The measurement of released Glc and Xyl is automated using enzyme-linked colorimetric assays. Optimized enzyme mixtures containing as many as 16 components have been tested on a variety of feedstock and pretreatment combinations. GENPLAT is adaptable to mixtures of pure enzymes, mixtures of commercial products (e.g., Accellerase 1000 and Novozyme 188), extracts of novel microbes, or combinations thereof. To make and test mixtures of ˜10 pure enzymes requires less than 100 μg of each protein and fewer than 100 total reactions, when operated at a final total loading of 15 mg protein/g glucan. We use enzymes from several sources. Enzymes can be purified from natural sources such as fungal cultures (e.g., Aspergillus niger, Cochliobolus carbonum, and Galerina marginata), or they can be made by expression of the encoding genes (obtained from the increasing number of microbial genome sequences) in hosts such as E. coli, Pichia pastoris, or a filamentous fungus such

  16. Digital Piracy: An Assessment of Consumer Piracy Risk and Optimal Supply Chain Coordination Strategies

    Science.gov (United States)

    Jeong, Bong-Keun

    2010-01-01

    Digital piracy and the emergence of new distribution channels have changed the dynamics of supply chain coordination and created many interesting problems. There has been increased attention to understanding the phenomenon of consumer piracy behavior and its impact on supply chain profitability. The purpose of this dissertation is to better…

  17. Microprocessor-based integration of microfluidic control for the implementation of automated sensor monitoring and multithreaded optimization algorithms.

    Science.gov (United States)

    Ezra, Elishai; Maor, Idan; Bavli, Danny; Shalom, Itai; Levy, Gahl; Prill, Sebastian; Jaeger, Magnus S; Nahmias, Yaakov

    2015-08-01

    Microfluidic applications range from combinatorial synthesis to high throughput screening, with platforms integrating analog perfusion components, digitally controlled micro-valves and a range of sensors that demand a variety of communication protocols. Currently, discrete control units are used to regulate and monitor each component, resulting in scattered control interfaces that limit data integration and synchronization. Here, we present a microprocessor-based control unit, utilizing the MS Gadgeteer open framework that integrates all aspects of microfluidics through a high-current electronic circuit that supports and synchronizes digital and analog signals for perfusion components, pressure elements, and arbitrary sensor communication protocols using a plug-and-play interface. The control unit supports an integrated touch screen and TCP/IP interface that provides local and remote control of flow and data acquisition. To establish the ability of our control unit to integrate and synchronize complex microfluidic circuits we developed an equi-pressure combinatorial mixer. We demonstrate the generation of complex perfusion sequences, allowing the automated sampling, washing, and calibrating of an electrochemical lactate sensor continuously monitoring hepatocyte viability following exposure to the pesticide rotenone. Importantly, integration of an optical sensor allowed us to implement automated optimization protocols that require different computational challenges including: prioritized data structures in a genetic algorithm, distributed computational efforts in multiple-hill climbing searches and real-time realization of probabilistic models in simulated annealing. Our system offers a comprehensive solution for establishing optimization protocols and perfusion sequences in complex microfluidic circuits. PMID:26227212

  18. Research on ISFLA-Based Optimal Control Strategy for the Coordinated Charging of EV Battery Swap Station

    Directory of Open Access Journals (Sweden)

    Xueliang Huang

    2013-01-01

    Full Text Available As an important component of the smart grid, electric vehicles (EVs could be a good measure against energy shortages and environmental pollution. A main way of energy supply to EVs is to swap battery from the swap station. Based on the characteristics of EV battery swap station, the coordinated charging optimal control strategy is investigated to smooth the load fluctuation. Shuffled frog leaping algorithm (SFLA is an optimization method inspired by the memetic evolution of a group of frogs when seeking food. An improved shuffled frog leaping algorithm (ISFLA with the reflecting method to deal with the boundary constraint is proposed to obtain the solution of the optimal control strategy for coordinated charging. Based on the daily load of a certain area, the numerical simulations including the comparison of PSO and ISFLA are carried out and the results show that the presented ISFLA can effectively lower the peak-valley difference and smooth the load profile with the faster convergence rate and higher convergence precision.

  19. Process optimization and biocompatibility of cell carriers suitable for automated magnetic manipulation.

    OpenAIRE

    Krejci, I; Piana, C.; Howitz, S.; Wegener, T; Fiedler, S.; ZWANZIG, M.; Schmitt, D.; Daum, N; Meier, K.; Lehr, C. M.; Batista, U; Zemljic, S; Messerschmidt, J.; Franzke, J; M. Wirth

    2012-01-01

    There is increasing demand for automated cell reprogramming in the fields of cell biology, biotechnology and the biomedical sciences. Microfluidic-based platforms that provide unattended manipulation of adherent cells promise to be an appropriate basis for cell manipulation. In this study we developed a magnetically driven cell carrier to serve as a vehicle within an in vitro environment. To elucidate the impact of the carrier on cells, biocompatibility was estimated using the human adenocarc...

  20. Automated optimal glycaemic control using a physiology based pharmacokinetic, pharmacodynamic model

    OpenAIRE

    Schaller, Stephan

    2015-01-01

    After decades of research, Automated Glucose Control (AGC) is still out of reach for everyday control of blood glucose. The inter- and intra-individual variability of glucose dynamics largely arising from variability in insulin absorption, distribution, and action, and related physiological lag-times remain a core problem in the development of suitable control algorithms. Over the years, model predictive control (MPC) has established itself as the gold standard in AGC systems in research. Mod...

  1. Optimal solutions for protection, control and automation in hydroelectric power systems

    International Nuclear Information System (INIS)

    Fault statistics and a poll at the electricity network companies show that incorrect functions from protection, control- and automation equipment contribute relatively much to undelivered energy. Yet there is little focus on doing fault analyses and register such faults in FASIT (a Norwegian system for registration of faults and interruption). This is especially true of the distribution network 1 - 22 kV. This is where the potential of reducing the amount of undelivered energy by introducing various automatic means is greatest

  2. Optimization and coordination of South-to-North Water Diversion supply chain with strategic customer behavior

    OpenAIRE

    Chen, Zhi-Song; Wang, Hui-Min

    2012-01-01

    The South-to-North Water Diversion (SNWD) Project is a significant engineering project meant to solve water shortage problems in North China. Faced with market operations management of the water diversion system, this study defined the supply chain system for the SNWD Project, considering the actual project conditions, built a decentralized decision model and a centralized decision model with strategic customer behavior (SCB) using a floating pricing mechanism (FPM), and constructed a coordin...

  3. Coordination and Optimization: The Integrated Supply Chain Analysis with Non-Linear Price-Sensitive Demand

    OpenAIRE

    Mohammed Forhad UDDIN; Kazushi SANO

    2012-01-01

    In this paper, a supply chain with a coordination mechanism consisting of a single vendor and buyeris considered. Further, instead of a price sensitive linear or deterministic demand function, a price-sensitivenon-linear demand function is introduced. To find the inventory cost, penalty cost and transportation cost, it isassumed that the production and shipping functions of the vendor are continuously harmonized and occur at thesame rate. In this integrated supply chain, the Buyer’s Linear Pr...

  4. IMPORTANCE OF THE COORDINATIVE ABILITIES DEVELOPMENT IN OPTIMIZING THE SELECTION PROCESS FOR THE ELITE ATHLETES

    Directory of Open Access Journals (Sweden)

    Juravle I.

    2013-02-01

    Full Text Available The study related in this paper reflects the opinion of various experts regarding the importance in developing thecoordinative abilities level to improve selection system of elite athletes. These coordinative abilities can be viewed as the ability of aperson that performs actions with a high degree of difficulty, adjusting the movements in time and space and taking into account newsituations that occur.The main research method used in this paper is based on the literature studies in this area of interest, i.e. articles andpublications, manuals, tutorials, etc. Initially, the study began from the hypothesis that significant improvements can be observed inthe selection process of the young athlete’s when is take into account the development of the coordinative abilities.Analyzing the related work in this field, selection process is the decisive factor in creating the assumptions for achievinghigh performances in sport. Also, these researches provide criteria, samples and standards, features and models for initial and primaryselection process, and also for the selection of the Olympic or national athletes groups.The conclusion of this study shows that one of the most important criteria for athletes’ selection process is represented bytheir level of development of coordination abilities. Researches included in this paper also argue the importance of athlete’scoordination abilities development for selection process in different types of team sport games.

  5. Automated design and optimization of flexible booster autopilots via linear programming. Volume 2: User's manual

    Science.gov (United States)

    Hauser, F. D.; Szollosi, G. D.; Lakin, W. S.

    1972-01-01

    COEBRA, the Computerized Optimization of Elastic Booster Autopilots, is an autopilot design program. The bulk of the design criteria is presented in the form of minimum allowed gain/phase stability margins. COEBRA has two optimization phases: (1) a phase to maximize stability margins; and (2) a phase to optimize structural bending moment load relief capability in the presence of minimum requirements on gain/phase stability margins.

  6. An Automated Fixed-Point Optimization Tool in MATLAB XSG/SynDSP Environment

    OpenAIRE

    Wang, Cheng C.; Changchun Shi; Robert W. Brodersen; Dejan Marković

    2011-01-01

    This paper presents an automated tool for floating-point to fixed-point conversion. The tool is based on previous work that was built in MATLAB/Simulink environment and Xilinx System Generator support. The tool is now extended to include Synplify DSP blocksets in a seamless way from the users' view point. In addition to FPGA area estimation, the tool now also includes ASIC area estimation for end-users who choose the ASIC flow. The tool minimizes hardware cost subject to mean-squared quantiza...

  7. Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions.

    Directory of Open Access Journals (Sweden)

    Vasanthan Maruthapillai

    Full Text Available In recent years, real-time face recognition has been a major topic of interest in developing intelligent human-machine interaction systems. Over the past several decades, researchers have proposed different algorithms for facial expression recognition, but there has been little focus on detection in real-time scenarios. The present work proposes a new algorithmic method of automated marker placement used to classify six facial expressions: happiness, sadness, anger, fear, disgust, and surprise. Emotional facial expressions were captured using a webcam, while the proposed algorithm placed a set of eight virtual markers on each subject's face. Facial feature extraction methods, including marker distance (distance between each marker to the center of the face and change in marker distance (change in distance between the original and new marker positions, were used to extract three statistical features (mean, variance, and root mean square from the real-time video sequence. The initial position of each marker was subjected to the optical flow algorithm for marker tracking with each emotional facial expression. Finally, the extracted statistical features were mapped into corresponding emotional facial expressions using two simple non-linear classifiers, K-nearest neighbor and probabilistic neural network. The results indicate that the proposed automated marker placement algorithm effectively placed eight virtual markers on each subject's face and gave a maximum mean emotion classification rate of 96.94% using the probabilistic neural network.

  8. Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions.

    Science.gov (United States)

    Maruthapillai, Vasanthan; Murugappan, Murugappan

    2016-01-01

    In recent years, real-time face recognition has been a major topic of interest in developing intelligent human-machine interaction systems. Over the past several decades, researchers have proposed different algorithms for facial expression recognition, but there has been little focus on detection in real-time scenarios. The present work proposes a new algorithmic method of automated marker placement used to classify six facial expressions: happiness, sadness, anger, fear, disgust, and surprise. Emotional facial expressions were captured using a webcam, while the proposed algorithm placed a set of eight virtual markers on each subject's face. Facial feature extraction methods, including marker distance (distance between each marker to the center of the face) and change in marker distance (change in distance between the original and new marker positions), were used to extract three statistical features (mean, variance, and root mean square) from the real-time video sequence. The initial position of each marker was subjected to the optical flow algorithm for marker tracking with each emotional facial expression. Finally, the extracted statistical features were mapped into corresponding emotional facial expressions using two simple non-linear classifiers, K-nearest neighbor and probabilistic neural network. The results indicate that the proposed automated marker placement algorithm effectively placed eight virtual markers on each subject's face and gave a maximum mean emotion classification rate of 96.94% using the probabilistic neural network. PMID:26859884

  9. Coordination and Optimization: The Integrated Supply Chain Analysis with Non-Linear Price-Sensitive Demand

    Directory of Open Access Journals (Sweden)

    Mohammed Forhad UDDIN

    2012-01-01

    Full Text Available In this paper, a supply chain with a coordination mechanism consisting of a single vendor and buyeris considered. Further, instead of a price sensitive linear or deterministic demand function, a price-sensitivenon-linear demand function is introduced. To find the inventory cost, penalty cost and transportation cost, it isassumed that the production and shipping functions of the vendor are continuously harmonized and occur at thesame rate. In this integrated supply chain, the Buyer’s Linear Program (LP, vendor’s Integer Program (IP andcoordinated Mixed Integer Program (MIP models are formulated. In this research, numerical example ispresented which includes the sensitivity of the key parameters to illustrate the models. The solution proceduresdemonstrate that the individual profit as well as joint profit could be increased by a coordination mechanismeven though the demand function is non-linear. In addition, the results illustrate that Buyer’s selling price, alongwith the consumers purchasing price, could be decreased, which may increase the demand of the end market.Finally, a conclusion

  10. Optimal coordinated control of energy extraction in LES of wind farms: effect of turbine arrangement patterns

    Science.gov (United States)

    Meyers, Johan; Munters, Wim; Goit, Jay

    2015-11-01

    We investigate optimal control of wind-farm boundary layers, considering the individual wind turbines as flow actuators. By controlling the thrust coefficients of the turbines as function of time, the energy extraction can be dynamically regulated with the aim to optimally influence the flow field and the vertical energy transport. To this end, we use Large-Eddy Simulations (LES) of wind-farm boundary layers in a receding-horizon optimal control framework. Recently, the approach was applied to fully developed wind-farm boundary layers in a 7D by 6D aligned wind-turbine arrangement. For this case, energy extraction increased up to 16%, related to improved wake mixing by slightly anti-correlating the turbine thrust coefficient with the local wind speed at the turbine level. Here we discuss optimal control results for finite wind farms that are characterized by entrance effects and a developing internal boundary layer above the wind farm. Both aligned and staggered arrangement patterns are considered, and a range of different constraints on the controls is included. The authors acknowledge support from the European Research Council (FP7-Ideas, grant no. 306471). Simulations were performed on the infrastructure of the Flemish Supercomputer Center, funded by the Hercules Foundation and the Flemish Governement.

  11. Optimization of the radiological protection of patients: Image quality and dose in mammography (co-ordinated research in Europe). Results of the coordinated research project on optimization of protection mammography in some eastern European States

    International Nuclear Information System (INIS)

    Mammography is an extremely useful non-invasive imaging technique with unparalleled advantages for the detection of breast cancer. It has played an immense role in the screening of women above a certain age or with a family history of breast cancer. The IAEA has a statutory responsibility to establish standards for the protection of people against exposure to ionizing radiation and to provide for the worldwide application of those standards. A fundamental requirement of the International Basic Safety Standards for Protection Against Ionizing Radiation (BSS) and for the Safety of Radiation Sources, issued by the IAEA and co-sponsored by FAO, ILO, WHO, PAHO and NEA, is the optimization of radiological protection of patients undergoing medical exposure. In keeping with its responsibility on the application of standards, the IAEA programme on Radiological Protection of Patients attempts to reduce radiation doses to patients while balancing quality assurance considerations. IAEA-TECDOC-796, Radiation Doses in Diagnostic Radiology and Methods for Dose Reduction (1995), addresses this aspect. The related IAEA-TECDOC-1423 on Optimization of the Radiological Protection of Patients undergoing Radiography, Fluoroscopy and Computed Tomography, (2004) constitutes the final report of the coordinated research in Africa, Asia and eastern Europe. The preceding publications do not explicitly consider mammography. Mindful of the importance of this imaging technique, the IAEA launched a Coordinated Research Project on Optimization of Protection in Mammography in some eastern European States. The present publication is the outcome of this project: it is aimed at evaluating the situation in a number of countries, identifying variations in the technique, examining the status of the equipment and comparing performance in the light of the norms established by the European Commission. A number of important aspects are covered, including: - quality control of mammography equipment; - imaging

  12. Integration of numerical analysis tools for automated numerical optimization of a transportation package design

    International Nuclear Information System (INIS)

    The use of state-of-the-art numerical analysis tools to determine the optimal design of a radioactive material (RAM) transportation container is investigated. The design of a RAM package's components involves a complex coupling of structural, thermal, and radioactive shielding analyses. The final design must adhere to very strict design constraints. The current technique used by cask designers is uncoupled and involves designing each component separately with respect to its driving constraint. With the use of numerical optimization schemes, the complex couplings can be considered directly, and the performance of the integrated package can be maximized with respect to the analysis conditions. This can lead to more efficient package designs. Thermal and structural accident conditions are analyzed in the shape optimization of a simplified cask design. In this paper, details of the integration of numerical analysis tools, development of a process model, nonsmoothness difficulties with the optimization of the cask, and preliminary results are discussed

  13. Closure to Discussion on "Economic Load Dispatch-A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO"

    DEFF Research Database (Denmark)

    Vlachogiannis, Ioannis (John); Lee, K. Y.

    2010-01-01

    In this paper an improved coordinated aggregation-based particle swarm optimization algorithm is introduced for solving the optimal economic load dispatch problem in power systems. In the improved coordinated aggregation-based particle swarm optimization algorithm each particle in the swarm retains...... a memory of its best position ever encountered, and is attracted only by other particles with better achievements than its own with the exception of the particle with the best achievement, which moves randomly.The ICA-PSO algorithm is tested on a number of power systems, including the systems with 6...

  14. Statistical Learning in Automated Troubleshooting: Application to LTE Interference Mitigation

    CERN Document Server

    Tiwana, Moazzam Islam; Altman, Zwi

    2010-01-01

    This paper presents a method for automated healing as part of off-line automated troubleshooting. The method combines statistical learning with constraint optimization. The automated healing aims at locally optimizing radio resource management (RRM) or system parameters of cells with poor performance in an iterative manner. The statistical learning processes the data using Logistic Regression (LR) to extract closed form (functional) relations between Key Performance Indicators (KPIs) and Radio Resource Management (RRM) parameters. These functional relations are then processed by an optimization engine which proposes new parameter values. The advantage of the proposed formulation is the small number of iterations required by the automated healing method to converge, making it suitable for off-line implementation. The proposed method is applied to heal an Inter-Cell Interference Coordination (ICIC) process in a 3G Long Term Evolution (LTE) network which is based on soft-frequency reuse scheme. Numerical simulat...

  15. GPRS and Bluetooth Based Devices/Mobile Connectivity Shifting From Manual To Automation For Performance Optimization

    Directory of Open Access Journals (Sweden)

    Nazia Bibi

    2011-09-01

    Full Text Available Many companies/organizations are trying to move towards automation and provide their workers with the internet facility on their mobile in order to carry out their routine tasks to save time and resources. The proposed system is based on GPRS technology aims to provide a solution to problem faced in carryout routine tasks considering mobility. The system is designed in a way that facilitates Workers/field staff get updates on their mobile phone regarding tasks at hand. This System is beneficial in a sense that it saves resources in term of time, human resources and cuts down the paper work. The proposed system has been developed in view of research study conducted in the software development and telecom industry and provides a high end solution to the customers/fieldworkers that use GPRS technology for transactions updates of databases.

  16. An automated optimization tool for high-dose-rate (HDR) prostate brachytherapy with divergent needle pattern

    Science.gov (United States)

    Borot de Battisti, M.; Maenhout, M.; de Senneville, B. Denis; Hautvast, G.; Binnekamp, D.; Lagendijk, J. J. W.; van Vulpen, M.; Moerland, M. A.

    2015-10-01

    Focal high-dose-rate (HDR) for prostate cancer has gained increasing interest as an alternative to whole gland therapy as it may contribute to the reduction of treatment related toxicity. For focal treatment, optimal needle guidance and placement is warranted. This can be achieved under MR guidance. However, MR-guided needle placement is currently not possible due to space restrictions in the closed MR bore. To overcome this problem, a MR-compatible, single-divergent needle-implant robotic device is under development at the University Medical Centre, Utrecht: placed between the legs of the patient inside the MR bore, this robot will tap the needle in a divergent pattern from a single rotation point into the tissue. This rotation point is just beneath the perineal skin to have access to the focal prostate tumor lesion. Currently, there is no treatment planning system commercially available which allows optimization of the dose distribution with such needle arrangement. The aim of this work is to develop an automatic inverse dose planning optimization tool for focal HDR prostate brachytherapy with needle insertions in a divergent configuration. A complete optimizer workflow is proposed which includes the determination of (1) the position of the center of rotation, (2) the needle angulations and (3) the dwell times. Unlike most currently used optimizers, no prior selection or adjustment of input parameters such as minimum or maximum dose or weight coefficients for treatment region and organs at risk is required. To test this optimizer, a planning study was performed on ten patients (treatment volumes ranged from 8.5 cm3to 23.3 cm3) by using 2-14 needle insertions. The total computation time of the optimizer workflow was below 20 min and a clinically acceptable plan was reached on average using only four needle insertions.

  17. An automated optimization tool for high-dose-rate (HDR) prostate brachytherapy with divergent needle pattern.

    Science.gov (United States)

    Borot de Battisti, M; Maenhout, M; Denis de Senneville, B; Hautvast, G; Binnekamp, D; Lagendijk, J J W; van Vulpen, M; Moerland, M A

    2015-10-01

    Focal high-dose-rate (HDR) for prostate cancer has gained increasing interest as an alternative to whole gland therapy as it may contribute to the reduction of treatment related toxicity. For focal treatment, optimal needle guidance and placement is warranted. This can be achieved under MR guidance. However, MR-guided needle placement is currently not possible due to space restrictions in the closed MR bore. To overcome this problem, a MR-compatible, single-divergent needle-implant robotic device is under development at the University Medical Centre, Utrecht: placed between the legs of the patient inside the MR bore, this robot will tap the needle in a divergent pattern from a single rotation point into the tissue. This rotation point is just beneath the perineal skin to have access to the focal prostate tumor lesion. Currently, there is no treatment planning system commercially available which allows optimization of the dose distribution with such needle arrangement. The aim of this work is to develop an automatic inverse dose planning optimization tool for focal HDR prostate brachytherapy with needle insertions in a divergent configuration. A complete optimizer workflow is proposed which includes the determination of (1) the position of the center of rotation, (2) the needle angulations and (3) the dwell times. Unlike most currently used optimizers, no prior selection or adjustment of input parameters such as minimum or maximum dose or weight coefficients for treatment region and organs at risk is required. To test this optimizer, a planning study was performed on ten patients (treatment volumes ranged from 8.5 cm(3)to 23.3 cm(3)) by using 2-14 needle insertions. The total computation time of the optimizer workflow was below 20 min and a clinically acceptable plan was reached on average using only four needle insertions. PMID:26378657

  18. A Unified Approach towards Decomposition and Coordination for Multi-level Optimization

    OpenAIRE

    de Wit, A. J.

    2009-01-01

    Complex systems, such as those encountered in aerospace engineering, can typically be considered as a hierarchy of individual coupled elements. This hierarchy is reflected in the analysis techniques that are used to analyze the physcial characteristics of the system. Consequently, a hierarchy of coupled models is to be used, accounting for different physical scales, components and/or disciplines. Numerical optimization of complex systems with embedded hierarchy is accomplished via multi-level...

  19. Fully automated tracking of cardiac structures using radiopaque markers and high-frequency videofluoroscopy in an in vivo ovine model: from three-dimensional marker coordinates to quantitative analyses

    OpenAIRE

    Bothe, Wolfgang; Schubert, Harald; Diab, Mahmoud; Faerber, Gloria; Bettag, Christoph; Jiang, Xiaoyan; Fischer, Martin S; Denzler, Joachim; Doenst, Torsten

    2016-01-01

    Purpose Recently, algorithms were developed to track radiopaque markers in the heart fully automated. However, the methodology did not allow to assign the exact anatomical location to each marker. In this case study we describe the steps from the generation of three-dimensional marker coordinates to quantitative data analyses in an in vivo ovine model. Methods In one adult sheep, twenty silver balls were sutured to the right side of the heart: 10 to the tricuspid annulus, one to the anterior ...

  20. Decomposition-coordination interior point method and its application to multi-area optimal reactive power flow

    Energy Technology Data Exchange (ETDEWEB)

    Yan, Wei [State Key Laboratory of Power Transmission Equipment and System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400030 (China); Wen, Lili [Test and Research Institute of Chongqing Electric Power, Chongqing 401123 (China); Li, W. [British Columbia Transmission Corporation, Vancouver, BC (Canada); Chung, C.Y. [State Key Laboratory of Power Transmission Equipment and System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400030 (China); Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon (China); Wong, K.P. [Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon (China)

    2011-01-15

    A decomposition-coordination interior point method (DIPM) is presented and applied to the multi-area optimal reactive power flow (ORPF) problem in this paper. In the method, the area distributed ORPF problem is first formed by introducing duplicated border variables. Then the nonlinear primal dual interior point method (IPM) is directly applied to the distributed ORPF problem in which a Newton system with border-matrix-blocks is formulated. Finally the overall ORPF problem is solved in decomposition iterations with the Newton system being decoupled. The proposed DIPM inherits the good performance of the traditional IPM with a feature appropriate for distributed calculations among multiple areas. It can be easily extended to other distributed optimization problems of power systems. Numeric results of five IEEE Test Systems are demonstrated and comparisons are made with those obtained using the traditional auxiliary problem principle (APP) method. The results show that the DIPM for the multi-area OPRF problem requires less iterations and CPU time, has better stability in convergence, and reaches better optimality compared to the traditional auxiliary problem principle method. (author)

  1. SU-E-J-130: Automating Liver Segmentation Via Combined Global and Local Optimization

    Energy Technology Data Exchange (ETDEWEB)

    Li, Dengwang; Wang, Jie [College of Physics and Electronics, Shandong Normal University, Jinan, Shandong (China); Kapp, Daniel S.; Xing, Lei [Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA (United States)

    2015-06-15

    Purpose: The aim of this work is to develop a robust algorithm for accurate segmentation of liver with special attention paid to the problems with fuzzy edges and tumor. Methods: 200 CT images were collected from radiotherapy treatment planning system. 150 datasets are selected as the panel data for shape dictionary and parameters estimation. The remaining 50 datasets were used as test images. In our study liver segmentation was formulated as optimization process of implicit function. The liver region was optimized via local and global optimization during iterations. Our method consists five steps: 1)The livers from the panel data were segmented manually by physicians, and then We estimated the parameters of GMM (Gaussian mixture model) and MRF (Markov random field). Shape dictionary was built by utilizing the 3D liver shapes. 2)The outlines of chest and abdomen were located according to rib structure in the input images, and the liver region was initialized based on GMM. 3)The liver shape for each 2D slice was adjusted using MRF within the neighborhood of liver edge for local optimization. 4)The 3D liver shape was corrected by employing SSR (sparse shape representation) based on liver shape dictionary for global optimization. Furthermore, H-PSO(Hybrid Particle Swarm Optimization) was employed to solve the SSR equation. 5)The corrected 3D liver was divided into 2D slices as input data of the third step. The iteration was repeated within the local optimization and global optimization until it satisfied the suspension conditions (maximum iterations and changing rate). Results: The experiments indicated that our method performed well even for the CT images with fuzzy edge and tumors. Comparing with physician delineated results, the segmentation accuracy with the 50 test datasets (VOE, volume overlap percentage) was on average 91%–95%. Conclusion: The proposed automatic segmentation method provides a sensible technique for segmentation of CT images. This work is

  2. SU-E-J-130: Automating Liver Segmentation Via Combined Global and Local Optimization

    International Nuclear Information System (INIS)

    Purpose: The aim of this work is to develop a robust algorithm for accurate segmentation of liver with special attention paid to the problems with fuzzy edges and tumor. Methods: 200 CT images were collected from radiotherapy treatment planning system. 150 datasets are selected as the panel data for shape dictionary and parameters estimation. The remaining 50 datasets were used as test images. In our study liver segmentation was formulated as optimization process of implicit function. The liver region was optimized via local and global optimization during iterations. Our method consists five steps: 1)The livers from the panel data were segmented manually by physicians, and then We estimated the parameters of GMM (Gaussian mixture model) and MRF (Markov random field). Shape dictionary was built by utilizing the 3D liver shapes. 2)The outlines of chest and abdomen were located according to rib structure in the input images, and the liver region was initialized based on GMM. 3)The liver shape for each 2D slice was adjusted using MRF within the neighborhood of liver edge for local optimization. 4)The 3D liver shape was corrected by employing SSR (sparse shape representation) based on liver shape dictionary for global optimization. Furthermore, H-PSO(Hybrid Particle Swarm Optimization) was employed to solve the SSR equation. 5)The corrected 3D liver was divided into 2D slices as input data of the third step. The iteration was repeated within the local optimization and global optimization until it satisfied the suspension conditions (maximum iterations and changing rate). Results: The experiments indicated that our method performed well even for the CT images with fuzzy edge and tumors. Comparing with physician delineated results, the segmentation accuracy with the 50 test datasets (VOE, volume overlap percentage) was on average 91%–95%. Conclusion: The proposed automatic segmentation method provides a sensible technique for segmentation of CT images. This work is

  3. Fully automated molecular biology routines on a plasmid-based functional proteomic workcell: Evaluation and Characterization of Yeast Strains Optimized for Growth on Xylose Expressing "Stealth" Insecticidal Peptides.

    Science.gov (United States)

    Optimization of genes important to production of fuel ethanol from hemicellulosic biomass for use in developing improved commercial yeast strains is necessary to meet the rapidly expanding need for ethanol. The United States Department of Agriculture has developed a fully automated platform for mol...

  4. Fully automated molecular biology: Plasmid-Based Functional Proteomic Workcell Evaluation and Characterization of Yeast Strains with Optimized "Trojan Horse" Amino Acid Scanning Mutational Inserts.

    Science.gov (United States)

    The optimization of various genes is important in cellulosic fuel ethanol production from S. cerevisiae to meet the rapidly expanding need for ethanol derived from hemicellulosic materials. The United States Department of Agriculture has developed a fully automated platform for molecular biology ro...

  5. Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons.

    Science.gov (United States)

    Rumbell, Timothy H; Draguljić, Danel; Yadav, Aniruddha; Hof, Patrick R; Luebke, Jennifer I; Weaver, Christina M

    2016-08-01

    Conductance-based compartment modeling requires tuning of many parameters to fit the neuron model to target electrophysiological data. Automated parameter optimization via evolutionary algorithms (EAs) is a common approach to accomplish this task, using error functions to quantify differences between model and target. We present a three-stage EA optimization protocol for tuning ion channel conductances and kinetics in a generic neuron model with minimal manual intervention. We use the technique of Latin hypercube sampling in a new way, to choose weights for error functions automatically so that each function influences the parameter search to a similar degree. This protocol requires no specialized physiological data collection and is applicable to commonly-collected current clamp data and either single- or multi-objective optimization. We applied the protocol to two representative pyramidal neurons from layer 3 of the prefrontal cortex of rhesus monkeys, in which action potential firing rates are significantly higher in aged compared to young animals. Using an idealized dendritic topology and models with either 4 or 8 ion channels (10 or 23 free parameters respectively), we produced populations of parameter combinations fitting the target datasets in less than 80 hours of optimization each. Passive parameter differences between young and aged models were consistent with our prior results using simpler models and hand tuning. We analyzed parameter values among fits to a single neuron to facilitate refinement of the underlying model, and across fits to multiple neurons to show how our protocol will lead to predictions of parameter differences with aging in these neurons. PMID:27106692

  6. Analytical study on coordinative optimization of convection in tubes with variable heat flux

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    [1]Guo, Z. Y., Li, D. Y., Wang, B. X., A novel concept for convective heat transfer enhancement, Int. J. Heat Mass Transfer, 1998, 41: 2221-2225.[2]Tao, W. Q., Guo, Z. Y., Wang, B. X., Field synergy principle for enhancing convective heat transfer--extension and numerical verification, Int. J. Heat Mass Transfer, 2002, 45: 3849-3856.[3]Guo, Z. Y., Mechanism and control of convective heat transfer--Coordination of velocity and heat flow fields, Chinese Science Bulletin, 2001, 46(7): 596-599.[4]Sellars, J. R., Tribus, M., Klein, J. S., Heat transfer to laminar flow in a round tubes or flat conduit--The Graetz problem extended, Tras. ASME, 1956, 78: 441-448.[5]Kays, W. M., Crawford, M. E., Convective Heat Transfer, 3rd ed., Chapter 9, New York: McGraw-Hill Inc., 1993.[6]Shah, R. K., London, A. L., Laminar Flow Forced Convection in Ducts, Advances in Heat Transfer, New York: Academic Press, 1978.

  7. Accelerated optimization and automated discovery with covariance matrix adaptation for experimental quantum control

    International Nuclear Information System (INIS)

    Optimization of quantum systems by closed-loop adaptive pulse shaping offers a rich domain for the development and application of specialized evolutionary algorithms. Derandomized evolution strategies (DESs) are presented here as a robust class of optimizers for experimental quantum control. The combination of stochastic and quasi-local search embodied by these algorithms is especially amenable to the inherent topology of quantum control landscapes. Implementation of DES in the laboratory results in efficiency gains of up to ∼9 times that of the standard genetic algorithm, and thus is a promising tool for optimization of unstable or fragile systems. The statistical learning upon which these algorithms are predicated also provide the means for obtaining a control problem's Hessian matrix with no additional experimental overhead. The forced optimal covariance adaptive learning (FOCAL) method is introduced to enable retrieval of the Hessian matrix, which can reveal information about the landscape's local structure and dynamic mechanism. Exploitation of such algorithms in quantum control experiments should enhance their efficiency and provide additional fundamental insights.

  8. SWANS: A Prototypic SCALE Criticality Sequence for Automated Optimization Using the SWAN Methodology

    Energy Technology Data Exchange (ETDEWEB)

    Greenspan, E.

    2001-01-11

    SWANS is a new prototypic analysis sequence that provides an intelligent, semi-automatic search for the maximum k{sub eff} of a given amount of specified fissile material, or of the minimum critical mass. It combines the optimization strategy of the SWAN code with the composition-dependent resonance self-shielded cross sections of the SCALE package. For a given system composition arrived at during the iterative optimization process, the value of k{sub eff} is as accurate and reliable as obtained using the CSAS1X Sequence of SCALE-4.4. This report describes how SWAN is integrated within the SCALE system to form the new prototypic optimization sequence, describes the optimization procedure, provides a user guide for SWANS, and illustrates its application to five different types of problems. In addition, the report illustrates that resonance self-shielding might have a significant effect on the maximum k{sub eff} value a given fissile material mass can have.

  9. An Optimized Clustering Approach for Automated Detection of White Matter Lesions in MRI Brain Images

    Directory of Open Access Journals (Sweden)

    M. Anitha

    2012-04-01

    Full Text Available Settings White Matter lesions (WMLs are small areas of dead cells found in parts of the brain. In general, it is difficult for medical experts to accurately quantify the WMLs due to decreased contrast between White Matter (WM and Grey Matter (GM. The aim of this paper is to
    automatically detect the White Matter Lesions which is present in the brains of elderly people. WML detection process includes the following stages: 1. Image preprocessing, 2. Clustering (Fuzzy c-means clustering, Geostatistical Possibilistic clustering and Geostatistical Fuzzy clustering and 3.Optimization using Particle Swarm Optimization (PSO. The proposed system is tested on a database of 208 MRI images. GFCM yields high sensitivity of 89%, specificity of 94% and overall accuracy of 93% over FCM and GPC. The clustered brain images are then subjected to Particle Swarm Optimization (PSO. The optimized result obtained from GFCM-PSO provides sensitivity of 90%, specificity of 94% and accuracy of 95%. The detection results reveals that GFCM and GFCMPSO better localizes the large regions of lesions and gives less false positive rate when compared to GPC and GPC-PSO which captures the largest loads of WMLs only in the upper ventral horns of the brain.

  10. A Technique for Binocular Stereo Vision System Calibration by the Nonlinear Optimization and Calibration Points with Accurate Coordinates

    International Nuclear Information System (INIS)

    With the increasing need for higher accuracy measurement in computer vision, the precision of camera calibration is a more important factor. The objective of stereo camera calibration is to estimate the intrinsic and extrinsic parameters of each camera. We presented a high-accurate technique to calibrate binocular stereo vision system having been mounted the locations and attitudes, which was realized by combining nonlinear optimization method with accurate calibration points. The calibration points with accurate coordinates, were formed by an infrared LED moved with three-dimensional coordinate measurement machine, which can ensure indeterminacy of measurement is 1/30000. By using bilinear interpolation square-gray weighted centroid location algorithm, the imaging centers of the calibration points can be accurately determined. The accuracy of the calibration is measured in terms of the accuracy in the reconstructing calibration points through triangulation, the mean distance between reconstructing point and given calibration point is 0.039mm. The technique can satisfy the goals of measurement and camera accurate calibration

  11. Optimizing nitrogen fertilizer application to irrigated wheat. Results of a co-ordinated research project. 1994-1998

    International Nuclear Information System (INIS)

    This TECDOC summarizes the results of a Co-ordinated Research Project (CRP) on the Use of Nuclear Techniques for Optimizing Fertilizer Application under Irrigated Wheat to Increase the Efficient Use of Nitrogen Fertilizer and Consequently Reduce Environmental Pollution. The project was carried out between 1994 and 1998 through the technical co-ordination of the Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture. Fourteen Member States of the IAEA and FAO carried out a series of field experiments aimed at improving irrigation water and fertilizer-N uptake efficiencies through integrated management of the complex Interactions involving inputs, soils, climate, and wheat cultivars. Its goals were: to investigate various aspects of fertilizer N uptake efficiency of wheat crops under irrigation through an interregional research network involving countries growing large areas of irrigated wheat; to use 15N and the soil-moisture neutron probe to determine the fate of applied N, to follow water and nitrate movement in the soil, and to determine water balance and water-use efficiency in irrigated wheat cropping systems; to use the data generated to further develop and refine various relationships in the Ceres-Wheat computer simulation model; to use the knowledge generated to produce a N-rate-recommendation package to refine specific management strategies with respect to fertilizer applications and expected yields

  12. Software integration for automated stability analysis and design optimization of a bearingless rotor blade

    Science.gov (United States)

    Gunduz, Mustafa Emre

    Many government agencies and corporations around the world have found the unique capabilities of rotorcraft indispensable. Incorporating such capabilities into rotorcraft design poses extra challenges because it is a complicated multidisciplinary process. The concept of applying several disciplines to the design and optimization processes may not be new, but it does not currently seem to be widely accepted in industry. The reason for this might be the lack of well-known tools for realizing a complete multidisciplinary design and analysis of a product. This study aims to propose a method that enables engineers in some design disciplines to perform a fairly detailed analysis and optimization of a design using commercially available software as well as codes developed at Georgia Tech. The ultimate goal is when the system is set up properly, the CAD model of the design, including all subsystems, will be automatically updated as soon as a new part or assembly is added to the design; or it will be updated when an analysis and/or an optimization is performed and the geometry needs to be modified. Designers and engineers will be involved in only checking the latest design for errors or adding/removing features. Such a design process will take dramatically less time to complete; therefore, it should reduce development time and costs. The optimization method is demonstrated on an existing helicopter rotor originally designed in the 1960's. The rotor is already an effective design with novel features. However, application of the optimization principles together with high-speed computing resulted in an even better design. The objective function to be minimized is related to the vibrations of the rotor system under gusty wind conditions. The design parameters are all continuous variables. Optimization is performed in a number of steps. First, the most crucial design variables of the objective function are identified. With these variables, Latin Hypercube Sampling method is used

  13. Long-term evaluation of TiO2-based 68Ge/68Ga generators and optimized automation of [68Ga]DOTATOC radiosynthesis.

    Science.gov (United States)

    Lin, Mai; Ranganathan, David; Mori, Tetsuya; Hagooly, Aviv; Rossin, Raffaella; Welch, Michael J; Lapi, Suzanne E

    2012-10-01

    Interest in using (68)Ga is rapidly increasing for clinical PET applications due to its favorable imaging characteristics and increased accessibility. The focus of this study was to provide our long-term evaluations of the two TiO(2)-based (68)Ge/(68)Ga generators and develop an optimized automation strategy to synthesize [(68)Ga]DOTATOC by using HEPES as a buffer system. This data will be useful in standardizing the evaluation of (68)Ge/(68)Ga generators and automation strategies to comply with regulatory issues for clinical use. PMID:22897970

  14. Automation of reverse engineering process in aircraft modeling and related optimization problems

    Science.gov (United States)

    Li, W.; Swetits, J.

    1994-01-01

    During the year of 1994, the engineering problems in aircraft modeling were studied. The initial concern was to obtain a surface model with desirable geometric characteristics. Much of the effort during the first half of the year was to find an efficient way of solving a computationally difficult optimization model. Since the smoothing technique in the proposal 'Surface Modeling and Optimization Studies of Aerodynamic Configurations' requires solutions of a sequence of large-scale quadratic programming problems, it is important to design algorithms that can solve each quadratic program in a few interactions. This research led to three papers by Dr. W. Li, which were submitted to SIAM Journal on Optimization and Mathematical Programming. Two of these papers have been accepted for publication. Even though significant progress has been made during this phase of research and computation times was reduced from 30 min. to 2 min. for a sample problem, it was not good enough for on-line processing of digitized data points. After discussion with Dr. Robert E. Smith Jr., it was decided not to enforce shape constraints in order in order to simplify the model. As a consequence, P. Dierckx's nonparametric spline fitting approach was adopted, where one has only one control parameter for the fitting process - the error tolerance. At the same time the surface modeling software developed by Imageware was tested. Research indicated a substantially improved fitting of digitalized data points can be achieved if a proper parameterization of the spline surface is chosen. A winning strategy is to incorporate Dierckx's surface fitting with a natural parameterization for aircraft parts. The report consists of 4 chapters. Chapter 1 provides an overview of reverse engineering related to aircraft modeling and some preliminary findings of the effort in the second half of the year. Chapters 2-4 are the research results by Dr. W. Li on penalty functions and conjugate gradient methods for

  15. Distributed Co-ordinator Model for Optimal Utilization of Software and Piracy Prevention

    Directory of Open Access Journals (Sweden)

    S. Zeeshan Hussain

    2010-01-01

    Full Text Available Today the software technologies have evolved it to the extent that now a customer can have free and open source software available in the market. But with this evolution the menace of software piracy has also evolved. Unlike other things a customer purchases, the software applications and fonts bought don't belong to the specified user. Instead, the customer becomes a licensed user — means the customer purchases the right to use the software on a single computer, and can't put copies on other machines or pass that software along to colleagues. Software piracy is the illegal distribution and/or reproduction of software applications for business or personal use. Whether software piracy is deliberate or not, it is still illegal and punishable by law. The major reasons of piracy include the high cost of software and the rigid licensing structure which is becoming even less popular due to inefficient software utilization. Various software companies are inclined towards the research of techniques to handle this problem of piracy. Many defense mechanisms have been devised till date but the hobbyists or the black market leaders (so called “software pirates” have always found a way out of it. This paper identifies the types of piracies and licensing mechanisms along with the flaws in the existing defense mechanisms and examines social and technical challenges associated with handling software piracy prevention. The goal of this paper is to design, implement and empirically evaluate a comprehensive framework for software piracy prevention and optimal utilization of the software.

  16. Optimal part and module selection for synthetic gene circuit design automation.

    Science.gov (United States)

    Huynh, Linh; Tagkopoulos, Ilias

    2014-08-15

    An integral challenge in synthetic circuit design is the selection of optimal parts to populate a given circuit topology, so that the resulting circuit behavior best approximates the desired one. In some cases, it is also possible to reuse multipart constructs or modules that have been already built and experimentally characterized. Efficient part and module selection algorithms are essential to systematically search the solution space, and their significance will only increase in the following years due to the projected explosion in part libraries and circuit complexity. Here, we address this problem by introducing a structured abstraction methodology and a dynamic programming-based algorithm that guaranties optimal part selection. In addition, we provide three extensions that are based on symmetry check, information look-ahead and branch-and-bound techniques, to reduce the running time and space requirements. We have evaluated the proposed methodology with a benchmark of 11 circuits, a database of 73 parts and 304 experimentally constructed modules with encouraging results. This work represents a fundamental departure from traditional heuristic-based methods for part and module selection and is a step toward maximizing efficiency in synthetic circuit design and construction. PMID:24933033

  17. Automation for tsetse mass rearing for use in sterile insect technique programmes. Final report of a co-ordinated research project 1995-2001

    International Nuclear Information System (INIS)

    The rearing of tsetse flies for the sterile insect technique has been a laborious procedure in the past. The purpose of this co-ordinated research project (CRP) 'Automation for tsetse mass rearing for use in sterile insect technique programmes' was to develop appropriate semiautomated procedures to simplify the rearing, reduce the cost and standardize the product. Two main objectives were accomplished. The first was to simplify the handling of adults at emergence. This was achieved by allowing the adults to emerge directly into the production cages. Selection of the appropriate environmental conditions and timing allowed the manipulation of the emergence pattern to achieve the desired ratio of four females to one male with minimal un-emerged females remaining mixed with the male pupae. Tests demonstrated that putting the sexes together at emergence, leaving the males in the production cages, and using a ratio of 4:1 (3:1 for a few species) did not adversely affect pupal production. This has resulted in a standardized system for the self stocking of production cages. The second was to reduce the labour involved in feeding the flies. Three distinct systems were developed and tested in sequence. The first tsetse production unit (TPU 1) was a fully automated system, but the fly survival and fecundity were unacceptably low. From this a simpler TPU 2 was developed and tested, where 63 large cages were held on a frame that could be moved as a single unit to the feeding location. TPU 2 was tested in various locations, and found to satisfy the basic requirements, and the adoption of Plexiglas pupal collection slopes resolved much of the problem due to light distribution. However the cage holding frame was heavy and difficult to position on the feeding frame and the movement disturbed the flies. TPU 2 was superseded by TPU 3, in which the cages remain stationary at all times, and the blood is brought to the flies. The blood feeding system is mounted on rails to make it

  18. Optimized Energy Management of a Single-House Residential Micro-Grid With Automated Demand Response

    DEFF Research Database (Denmark)

    Anvari-Moghaddam, Amjad; Monsef, Hassan; Rahimi-Kian, Ashkan;

    2015-01-01

    In this paper, an intelligent multi-objective energy management system (MOEMS) is proposed for applications in residential LVAC micro-grids where households are equipped with smart appliances, such as washing machine, dishwasher, tumble dryer and electric heating and they have the capability to t...... reduce residential energy use and improve the user’s satisfaction degree by optimal management of demand/generation sides.......In this paper, an intelligent multi-objective energy management system (MOEMS) is proposed for applications in residential LVAC micro-grids where households are equipped with smart appliances, such as washing machine, dishwasher, tumble dryer and electric heating and they have the capability to...... take part in demand response (DR) programs. The superior performance and efficiency of the proposed system is studied through several scenarios and case studies and validated in comparison with the conventional models. The simulation results demonstrate that the proposed MOEMS has the capability to...

  19. A hybrid systems strategy for automated spacecraft tour design and optimization

    Science.gov (United States)

    Stuart, Jeffrey R.

    As the number of operational spacecraft increases, autonomous operations is rapidly evolving into a critical necessity. Additionally, the capability to rapidly generate baseline trajectories greatly expands the range of options available to analysts as they explore the design space to meet mission demands. Thus, a general strategy is developed, one that is suitable for the construction of flight plans for both Earth-based and interplanetary spacecraft that encounter multiple objects, where these multiple encounters comprise a ``tour''. The proposed scheme is flexible in implementation and can readily be adjusted to a variety of mission architectures. Heuristic algorithms that autonomously generate baseline tour trajectories and, when appropriate, adjust reference solutions in the presence of rapidly changing environments are investigated. Furthermore, relative priorities for ranking the targets are explicitly accommodated during the construction of potential tour sequences. As a consequence, a priori, as well as newly acquired, knowledge concerning the target objects enhances the potential value of the ultimate encounter sequences. A variety of transfer options are incorporated, from rendezvous arcs enabled by low-thrust engines to more conventional impulsive orbit adjustments via chemical propulsion technologies. When advantageous, trajectories are optimized in terms of propellant consumption via a combination of indirect and direct methods; such a combination of available technologies is an example of hybrid optimization. Additionally, elements of hybrid systems theory, i.e., the blending of dynamical states, some discrete and some continuous, are integrated into the high-level tour generation scheme. For a preliminary investigation, this strategy is applied to mission design scenarios for a Sun-Jupiter Trojan asteroid tour as well as orbital debris removal for near-Earth applications.

  20. AN OPTIMIZATION-BASED HEURISTIC FOR A CAPACITATED LOT-SIZING MODEL IN AN AUTOMATED TELLER MACHINES NETWORK

    Directory of Open Access Journals (Sweden)

    Supatchaya Chotayakul

    2013-01-01

    Full Text Available This research studies a cash inventory problem in an ATM Network to satisfy customer’s cash needs over multiple periods with deterministic demand. The objective is to determine the amount of money to place in Automated Teller Machines (ATMs and cash centers for each period over a given time horizon. The algorithms are designed as a multi-echelon inventory problem with single-item capacitated lot-sizing to minimize total costs of running ATM network. In this study, we formulate the problem as a Mixed Integer Program (MIP and develop an approach based on reformulating the model as a shortest path formulation for finding a near-optimal solution of the problem. This reformulation is the same as the traditional model, except the capacity constraints, inventory balance constraints and setup constraints related to the management of the money in ATMs are relaxed. This new formulation gives more variables and constraints, but has a much tighter linear relaxation than the original and is faster to solve for short term planning. Computational results show its effectiveness, especially for large sized problems.

  1. An objective method to optimize the MR sequence set for plaque classification in carotid vessel wall images using automated image segmentation.

    Science.gov (United States)

    van 't Klooster, Ronald; Patterson, Andrew J; Young, Victoria E; Gillard, Jonathan H; Reiber, Johan H C; van der Geest, Rob J

    2013-01-01

    A typical MR imaging protocol to study the status of atherosclerosis in the carotid artery consists of the application of multiple MR sequences. Since scanner time is limited, a balance has to be reached between the duration of the applied MR protocol and the quantity and quality of the resulting images which are needed to assess the disease. In this study an objective method to optimize the MR sequence set for classification of soft plaque in vessel wall images of the carotid artery using automated image segmentation was developed. The automated method employs statistical pattern recognition techniques and was developed based on an extensive set of MR contrast weightings and corresponding manual segmentations of the vessel wall and soft plaque components, which were validated by histological sections. Evaluation of the results from nine contrast weightings showed the tradeoff between scan duration and automated image segmentation performance. For our dataset the best segmentation performance was achieved by selecting five contrast weightings. Similar performance was achieved with a set of three contrast weightings, which resulted in a reduction of scan time by more than 60%. The presented approach can help others to optimize MR imaging protocols by investigating the tradeoff between scan duration and automated image segmentation performance possibly leading to shorter scanning times and better image interpretation. This approach can potentially also be applied to other research fields focusing on different diseases and anatomical regions. PMID:24194941

  2. Optimal torque coordinating control of the launching with twin clutches simultaneously involved for dry dual-clutch transmission

    Science.gov (United States)

    Zhao, Z. G.; Chen, H. J.; Zhen, Z. X.; Yang, Y. Y.

    2014-06-01

    As for the self-developed six-speed dry dual-clutch transmission (DCT), the optimal torque-coordinated control strategy between engine and dual clutches is proposed to resolve the problem of launching with twin clutches simultaneously involved based on the minimum value principle. Focusing on the sliding friction phase of the launching process, dynamics equations of dry DCT with two intermediate shafts are firstly established, and then the optimal transmitting torque variation rate and the driven plate's rotating speed of dual clutches are deduced by using the minimum value principle, in which the jerk intensity and friction work are taken as the performance indexes, and the terminal constraints of state variables are determined according to the driver's launching intention. Besides, the separating conditions of non-target gear clutch and the torque distributing relations of twin clutches are derived from the launching control targets that guarantee the approximately equal friction extent of two clutches and no power cycle. After the synchronisation of driving and driven plates of on-coming clutch, the output torque of engine is smoothly switched to the driver's demand level. Furthermore, launching the simulation model of the dry DCT vehicle is set up on the Matlab/Simulink platform. Simulation results indicate that the proposed launching control strategy not only can effectively reflect the driver's intention and extend the life span of twin clutches, but also obtain an excellent launching quality. Finally, the torque control laws of two clutches obtained through the simulation are transformed into clutch position control laws for the future realisation in the real car, and the closed-loop position controls of twin clutches in the launching process are conducted on the test bench with two sets of clutch actuator, obtaining preferable tracking effects.

  3. Optimal power flow based TU/CHP/PV/WPP coordination in view of wind speed, solar irradiance and load correlations

    International Nuclear Information System (INIS)

    Highlights: • Formulate probabilistic OPF with VPE, multi-fuel options, POZs, FOR of CHP units. • Propose a new powerful optimization method based on enhanced black hole algorithm. • Coordinate of TUs, WPPs, PVs and CHP units together in the proposed problem. • Evaluate the impacts of inputs’ uncertainties and their correlations on the POPF. • Use the 2m + 1 point estimated method. - Abstract: This paper addresses a novel probabilistic optimisation framework for handling power system uncertainties in the optimal power flow (OPF) problem that considers all the essential factors of great impact in the OPF problem. The object is to study and model the correlation and fluctuation of load demands, photovoltaic (PV) and wind power plants (WPPs) which have an important influence on transmission lines and bus voltages. Moreover, as an important tool of saving waste heat energy in the thermoelectric power plant, the power networks share of combined heat and power (CHP) has increased dramatically in the past decade. So, the probabilistic OPF (POPF) problem considering valve point effects, multi-fuel options and prohibited zones of thermal units (TUs) is firstly formulated. The PV, WPP and CHP units are also modeled. Then, a new method utilizing enhanced binary black hole (EBBH) algorithm and 2m + 1 point estimated method is proposed to solve this problem and to handle the random nature of solar irradiance, wind speed and load of consumers. The correlation between input random variables is considered using a correlation matrix. Finally, numerical results are presented and considered regarding the IEEE 118-busses, including PV, WPP, CHP and TU at several busses. The simulation and comparison results obtained demonstrate the broad advantages and feasibility of the suggested framework in the presence of dependent non-Gaussian distribution of random variables

  4. Optimal Installation Locations for Automated External Defibrillators in Taipei 7-Eleven Stores: Using GIS and a Genetic Algorithm with a New Stirring Operator

    OpenAIRE

    Chung-Yuan Huang; Tzai-Hung Wen

    2014-01-01

    Immediate treatment with an automated external defibrillator (AED) increases out-of-hospital cardiac arrest (OHCA) patient survival potential. While considerable attention has been given to determining optimal public AED locations, spatial and temporal factors such as time of day and distance from emergency medical services (EMSs) are understudied. Here we describe a geocomputational genetic algorithm with a new stirring operator (GANSO) that considers spatial and temporal cardiac arrest occu...

  5. Optimization of automated radiosynthesis of [{sup 18}F]AV-45: a new PET imaging agent for Alzheimer's disease

    Energy Technology Data Exchange (ETDEWEB)

    Liu Yajing; Zhu Lin [Key Laboratory of Radiopharmaceuticals, Beijing Normal University, Ministry of Education, Beijing, 100875 (China); Department of Radiology, University of Pennsylvania, Philadelphia, PA 19014 (United States); Ploessl, Karl [Department of Radiology, University of Pennsylvania, Philadelphia, PA 19014 (United States); Choi, Seok Rye [Avid Radiopharmaceuticals Inc., Philadelphia, PA 19014 (United States); Qiao Hongwen; Sun Xiaotao; Li Song [Key Laboratory of Radiopharmaceuticals, Beijing Normal University, Ministry of Education, Beijing, 100875 (China); Zha Zhihao [Key Laboratory of Radiopharmaceuticals, Beijing Normal University, Ministry of Education, Beijing, 100875 (China); Department of Radiology, University of Pennsylvania, Philadelphia, PA 19014 (United States); Kung, Hank F., E-mail: kunghf@sunmac.spect.upenn.ed [Key Laboratory of Radiopharmaceuticals, Beijing Normal University, Ministry of Education, Beijing, 100875 (China); Department of Radiology, University of Pennsylvania, Philadelphia, PA 19014 (United States)

    2010-11-15

    Introduction: Accumulation of {beta}-amyloid (A{beta}) aggregates in the brain is linked to the pathogenesis of Alzheimer's disease (AD). Imaging probes targeting these A{beta} aggregates in the brain may provide a useful tool to facilitate the diagnosis of AD. Recently, [{sup 18}F]AV-45 ([{sup 18}F]5) demonstrated high binding to the A{beta} aggregates in AD patients. To improve the availability of this agent for widespread clinical application, a rapid, fully automated, high-yield, cGMP-compliant radiosynthesis was necessary for production of this probe. We report herein an optimal [{sup 18}F]fluorination, de-protection condition and fully automated radiosynthesis of [{sup 18}F]AV-45 ([{sup 18}F]5) on a radiosynthesis module (BNU F-A2). Methods: The preparation of [{sup 18}F]AV-45 ([{sup 18}F]5) was evaluated under different conditions, specifically by employing different precursors (-OTs and -Br as the leaving group), reagents (K222/K{sub 2}CO{sub 3} vs. tributylammonium bicarbonate) and deprotection in different acids. With optimized conditions from these experiments, the automated synthesis of [{sup 18}F]AV-45 ([{sup 18}F]5) was accomplished by using a computer-programmed, standard operating procedure, and was purified on an on-line solid-phase cartridge (Oasis HLB). Results: The optimized reaction conditions were successfully implemented to an automated nucleophilic fluorination module. The radiochemical purity of [{sup 18}F]AV-45 ([{sup 18}F]5) was >95%, and the automated synthesis yield was 33.6{+-}5.2% (no decay corrected, n=4), 50.1{+-}7.9% (decay corrected) in 50 min at a quantity level of 10-100 mCi (370-3700 MBq). Autoradiography studies of [{sup 18}F]AV-45 ([{sup 18}F]5) using postmortem AD brain and Tg mouse brain sections in the presence of different concentration of 'cold' AV-136 showed a relatively low inhibition of in vitro binding of [{sup 18}F]AV-45 ([{sup 18}F]5) to the A{beta} plaques (IC50=1-4 {mu}M, a concentration several

  6. The next generation type of nuclear reactor management system by using genetic algorithms. Coordinative optimization of reactor design and reactor control

    International Nuclear Information System (INIS)

    Two steps integrated optimization algorithm on the basis of the improvement genetic algorithm (GA) was developed for BWR core optimization. It showed good convergence performance keeping with global search capability. When the method was applied to 1356MWe BWR design, optimization was realized by the practical cost. An integer combinatorial optimization using MAA (Multi Agent Algorithm) was developed. MAA was introduced to the first-step part of two-step GA and the convergence performance increased. An idea of MAA proposed by us gets a hint from humane behavior in the group. The reactor design and reactor control of BWR, the coordinative optimization, its application to the practical plant and the next generation reactor control system are explained. (S.Y.)

  7. On the periodic coordination of linear stochastic systems. [open-loop and closed-loop feedback optimal control

    Science.gov (United States)

    Chong, C.-Y.; Athans, M.

    1975-01-01

    The decentralized stochastic control of a linear dynamic system consisting of several subsystems is considered. A two-level approach is used by the introduction of a coordinator who collects measurements from the local controllers periodically and in return transmits coordinating parameters. Two types of coordination are considered: open-loop feedback and closed loop. The resulting control laws are found to be intuitively attractive.

  8. Statistical Mechanics in Np-Complete Optimization Problems and Simulations of Spin Glass on Graphs with Finite Coordination Number.

    Science.gov (United States)

    Lai, Pik-Yin

    Methods of statistical mechanics are applied to two important NP-complete combinatorial optimization problems. The first is the chromatic number problem which seeks the minimal number of colors necessary to color a graph such that no two sites connected by an edge have the same color. The second is partitioning of a graph into q equal subgraphs so as to minimize inter-subgraph connections. Both models are mapped into a frustrated Potts model which is related to the q-state Potts spin glass. For the first problem, we obtain very good agreement with numerical simulations and theoretical bounds using the annealed approximation. The quenched model is also discussed. For the second problem we obtain analytic and numerical results by evaluating the ground state energy of the q = 3 and 4 Potts spin glass using Parisi's replica symmetry breaking. We also performed some numerical simulations to test the theoretical result and obtained very good agreement. In the second part of the thesis, we simulate the Ising spin-glass model on a random lattice with a finite (average) coordination number and also on the Bethe lattice with various different boundary conditions. In particular, we calculate the overlap function P(q) for two independent samples. For the random lattice, the results are consistent with a spin-glass transition above which P(q) converges to a Dirac delta -function for large N (number of sites) and below which P(q) has in addition a long tail similar to previous results obtained for the infinite ranged model. For the Bethe lattice, we obtain results in the interior by discarding the two outer shells of the Cayley tree when calculating the thermal averages. For fixed (uncorrelated) boundary conditions, P(q) seems to converge to a delta -function even below the spin-glass transition whereas for a "closed" lattice (correlated boundary conditions) P(q) has a long tail similar to its behavior in the random lattice case.

  9. A Hybrid Shuffled Frog Leaping Algorithm to Solve Optimal Directional Over Current Relay Coordination Problem for Power Delivery System with DGs

    Directory of Open Access Journals (Sweden)

    Mohammad Sadegh Payam

    2012-01-01

    Full Text Available This study presents a new approach for simultaneous coordinated tuning of over current relay for a Power Delivery System (PDS including Distribution Generations (DGs. In the proposed scheme, instead of changing in protection system structure or using new elements, solving of relay coordination problem is done with revising of relays setting in presence of DGs. For this, the relay coordination problem is formulated as the optimization problem by considering two strategies: minimizing the relays operation time and minimizing the number of changes in relays setting. Also, an efficient hybrid algorithm based on Shuffled Frog Leaping (SFL algorithm and Linear Programming (LP is introduced for solving complex and non-convex optimization problem. To investigate the ability of the proposed method, a 30-bus IEEE test system is considered. Three scenarios are examined to evaluate the effectiveness of the proposed approach to solve the directional overcurrent relay coordination problem for a PDS with DGs. Simulation result show the efficiency of proposed method.

  10. Optimization of the coupling of nuclear reactors and desalination systems. Final report of a coordinated research project 1999-2003

    International Nuclear Information System (INIS)

    Nuclear power has been used for five decades and has been one of the fastest growing energy options. Although the rate at which nuclear power has penetrated the world energy market has declined, it has retained a substantial share, and is expected to continue as a viable option well into the future. Seawater desalination by distillation is much older than nuclear technology. However, the current desalination technology involving large-scale application, has a history comparable to nuclear power, i.e. it spans about five decades. Both nuclear and desalination technologies are mature and proven, and are commercially available from a variety of suppliers. Therefore, there are benefits in combining the two technologies together. Where nuclear energy could be an option for electricity supply, it can also be used as an energy source for seawater desalination. This has been recognized from the early days of the two technologies. However, the main interest during the 1960s and 1970s was directed towards the use of nuclear energy for electricity generation, district heating, and industrial process heat. Renewed interest in nuclear desalination has been growing worldwide since 1989, as indicated by the adoption of a number of resolutions on the subject at the IAEA General Conferences. Responding to this trend, the IAEA reviewed information on desalination technologies and the coupling of nuclear reactors with desalination plants, compared the economic viability of seawater desalination using nuclear energy in various coupling configuration with fossil fuels in a generic assessment, conducted a regional feasibility study on nuclear desalination in the North African Countries and initiated in a two-year Options Identification Programme (OIP) to identify candidate reactor and desalination technologies that could serve as practical demonstrations of nuclear desalination, supplementing the existing expertise and experience. In 1998, the IAEA initiated a Coordinated Research

  11. Automated purchasing: Forecasts to determine stock levels and print orders.

    Science.gov (United States)

    Wilcox, M M; Moore, A N; Hoover, L W

    1978-10-01

    An automated purchasing system to optimize inventory levels of frozen foods, including meat items, while minimizing stock outages, was developed and implemented. Menu item forecast data were coordinated with on-hand quantities to automate the calculation of order quantities and printing purchase requisitions. The model selected also incorporated: (a) Safety stock level, (b) accumulated forecasts, and (c) accumulated orders already placed. The project was smoothly integrated into an on-going computer-assisted management system. All programs functioned as planned; computer documents were complete and accurate. The system design was retained for use in the foodservice operation. PMID:701670

  12. Analysis of the Optimal Duration of Behavioral Observations Based on an Automated Continuous Monitoring System in Tree Swallows (Tachycineta bicolor: Is One Hour Good Enough?

    Directory of Open Access Journals (Sweden)

    Ádám Z Lendvai

    Full Text Available Studies of animal behavior often rely on human observation, which introduces a number of limitations on sampling. Recent developments in automated logging of behaviors make it possible to circumvent some of these problems. Once verified for efficacy and accuracy, these automated systems can be used to determine optimal sampling regimes for behavioral studies. Here, we used a radio-frequency identification (RFID system to quantify parental effort in a bi-parental songbird species: the tree swallow (Tachycineta bicolor. We found that the accuracy of the RFID monitoring system was similar to that of video-recorded behavioral observations for quantifying parental visits. Using RFID monitoring, we also quantified the optimum duration of sampling periods for male and female parental effort by looking at the relationship between nest visit rates estimated from sampling periods with different durations and the total visit numbers for the day. The optimum sampling duration (the shortest observation time that explained the most variation in total daily visits per unit time was 1h for both sexes. These results show that RFID and other automated technologies can be used to quantify behavior when human observation is constrained, and the information from these monitoring technologies can be useful for evaluating the efficacy of human observation methods.

  13. Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation

    Directory of Open Access Journals (Sweden)

    Koukalova Dagmar

    2009-11-01

    Full Text Available Abstract Background Rapid, easy, economical and accurate species identification of yeasts isolated from clinical samples remains an important challenge for routine microbiological laboratories, because susceptibility to antifungal agents, probability to develop resistance and ability to cause disease vary in different species. To overcome the drawbacks of the currently available techniques we have recently proposed an innovative approach to yeast species identification based on RAPD genotyping and termed McRAPD (Melting curve of RAPD. Here we have evaluated its performance on a broader spectrum of clinically relevant yeast species and also examined the potential of automated and semi-automated interpretation of McRAPD data for yeast species identification. Results A simple fully automated algorithm based on normalized melting data identified 80% of the isolates correctly. When this algorithm was supplemented by semi-automated matching of decisive peaks in first derivative plots, 87% of the isolates were identified correctly. However, a computer-aided visual matching of derivative plots showed the best performance with average 98.3% of the accurately identified isolates, almost matching the 99.4% performance of traditional RAPD fingerprinting. Conclusion Since McRAPD technique omits gel electrophoresis and can be performed in a rapid, economical and convenient way, we believe that it can find its place in routine identification of medically important yeasts in advanced diagnostic laboratories that are able to adopt this technique. It can also serve as a broad-range high-throughput technique for epidemiological surveillance.

  14. Using the ARTMO toolbox for automated retrieval of biophysical parameters through radiative transfer model inversion: Optimizing LUT-based inversion

    Science.gov (United States)

    Verrelst, J.; Rivera, J. P.; Leonenko, G.; Alonso, L.; Moreno, J.

    2012-04-01

    Radiative transfer (RT) modeling plays a key role for earth observation (EO) because it is needed to design EO instruments and to develop and test inversion algorithms. The inversion of a RT model is considered as a successful approach for the retrieval of biophysical parameters because of being physically-based and generally applicable. However, to the broader community this approach is considered as laborious because of its many processing steps and expert knowledge is required to realize precise model parameterization. We have recently developed a radiative transfer toolbox ARTMO (Automated Radiative Transfer Models Operator) with the purpose of providing in a graphical user interface (GUI) essential models and tools required for terrestrial EO applications such as model inversion. In short, the toolbox allows the user: i) to choose between various plant leaf and canopy RT models (e.g. models from the PROSPECT and SAIL family, FLIGHT), ii) to choose between spectral band settings of various air- and space-borne sensors or defining own sensor settings, iii) to simulate a massive amount of spectra based on a look up table (LUT) approach and storing it in a relational database, iv) to plot spectra of multiple models and compare them with measured spectra, and finally, v) to run model inversion against optical imagery given several cost options and accuracy estimates. In this work ARTMO was used to tackle some well-known problems related to model inversion. According to Hadamard conditions, mathematical models of physical phenomena are mathematically invertible if the solution of the inverse problem to be solved exists, is unique and depends continuously on data. This assumption is not always met because of the large number of unknowns and different strategies have been proposed to overcome this problem. Several of these strategies have been implemented in ARTMO and were here analyzed to optimize the inversion performance. Data came from the SPARC-2003 dataset

  15. Development of methodologies for optimization of surveillance testing and maintenance of safety related equipment at NPPs. Report of a research coordination meeting. Working material

    International Nuclear Information System (INIS)

    This report summarizes the results of the first meeting of the Coordinated Research Programme (CRP) on Development of Methodologies for Optimization of Surveillance Testing and Maintenance of Safety Related Equipment at NPPs, held at the Agency Headquarters in Vienna, from 16 to 20 December 1996. The purpose of this Research Coordination Meeting (RCM) was that all Chief Scientific Investigators of the groups participating in the CRP presented an outline of their proposed research projects. Additionally, the participants discussed the objective, scope, work plan and information channels of the CRP in detail. Based on these presentations and discussions, the entire project plan was updated, completed and included in this report. This report represents a common agreed project work plan for the CRP. Refs, figs, tabs

  16. The contaminant analysis automation robot implementation for the automated laboratory

    International Nuclear Information System (INIS)

    The Contaminant Analysis Automation (CAA) project defines the automated laboratory as a series of standard laboratory modules (SLM) serviced by a robotic standard support module (SSM). These SLMs are designed to allow plug-and-play integration into automated systems that perform standard analysis methods (SAM). While the SLMs are autonomous in the execution of their particular chemical processing task, the SAM concept relies on a high-level task sequence controller (TSC) to coordinate the robotic delivery of materials requisite for SLM operations, initiate an SLM operation with the chemical method dependent operating parameters, and coordinate the robotic removal of materials from the SLM when its commands and events has been established to allow ready them for transport operations as well as performing the Supervisor and Subsystems (GENISAS) software governs events from the SLMs and robot. The Intelligent System Operating Environment (ISOE) enables the inter-process communications used by GENISAS. CAA selected the Hewlett-Packard Optimized Robot for Chemical Analysis (ORCA) and its associated Windows based Methods Development Software (MDS) as the robot SSM. The MDS software is used to teach the robot each SLM position and required material port motions. To allow the TSC to command these SLM motions, a hardware and software implementation was required that allowed message passing between different operating systems. This implementation involved the use of a Virtual Memory Extended (VME) rack with a Force CPU-30 computer running VxWorks; a real-time multitasking operating system, and a Radiuses PC compatible VME computer running MDS. A GENISAS server on The Force computer accepts a transport command from the TSC, a GENISAS supervisor, over Ethernet and notifies software on the RadiSys PC of the pending command through VMEbus shared memory. The command is then delivered to the MDS robot control software using a Windows Dynamic Data Exchange conversation

  17. Automated Methods of Corrosion Measurements

    DEFF Research Database (Denmark)

    Andersen, Jens Enevold Thaulov

    . Mechanical control, recording, and data processing must therefore be automated to a high level of precision and reliability. These general techniques and the apparatus involved have been described extensively. The automated methods of such high-resolution microscopy coordinated with computerized...

  18. A new service support tool for COSMO-SkyMed: civil user coordination service and civil request management optimization

    Science.gov (United States)

    Daraio, M. G.; Battagliere, M. L.; Sacco, P.; Fasano, L.; Coletta, A.

    2015-10-01

    COSMO-SkyMed is a dual-use program for both civilian and defense provides user community (institutional and commercial) with SAR data in several environmental applications. In the context of COSMO-SkyMed data and User management, one of the aspects carefully monitored is the user satisfaction level, it is links to satisfaction of submitted user requests. The operational experience of the first years of operational phase, and the consequent lessons learnt by the COSMO-SkyMed data and user management, have demonstrated that a lot of acquisition rejections are due to conflicts (time conflicts or system conflicts) among two or more civilian user requests, and they can be managed and solved implementing an improved coordination of users and their requests on a daily basis. With this aim a new Service Support Tool (SST) has been designed and developed to support the operators in the User Request coordination. The Tool allow to analyze conflicts among Acquisition Requests (ARs) before the National Rankization phase and to elaborate proposals for conflict resolution. In this paper the most common causes of the occurred rejections will be showed, for example as the impossibility to aggregate different orders, and the SST functionalities will be described, in particular how it works to remove or minimize the conflicts among different orders.

  19. Optimal installation locations for automated external defibrillators in Taipei 7-Eleven stores: using GIS and a genetic algorithm with a new stirring operator.

    Science.gov (United States)

    Huang, Chung-Yuan; Wen, Tzai-Hung

    2014-01-01

    Immediate treatment with an automated external defibrillator (AED) increases out-of-hospital cardiac arrest (OHCA) patient survival potential. While considerable attention has been given to determining optimal public AED locations, spatial and temporal factors such as time of day and distance from emergency medical services (EMSs) are understudied. Here we describe a geocomputational genetic algorithm with a new stirring operator (GANSO) that considers spatial and temporal cardiac arrest occurrence factors when assessing the feasibility of using Taipei 7-Eleven stores as installation locations for AEDs. Our model is based on two AED conveyance modes, walking/running and driving, involving service distances of 100 and 300 meters, respectively. Our results suggest different AED allocation strategies involving convenience stores in urban settings. In commercial areas, such installations can compensate for temporal gaps in EMS locations when responding to nighttime OHCA incidents. In residential areas, store installations can compensate for long distances from fire stations, where AEDs are currently held in Taipei. PMID:25045396

  20. Nuclear plants control: towards an more advanced automation

    International Nuclear Information System (INIS)

    Reactor operation appears to have a lower automation level than other fields of production industry. Compiled data point out that human factors are implied in about 70 % of un acceptable errors happening in a nuclear plant. But no obvious conclusion can result from these data. Human factor are so numerous and unlike that no mathematical model can be achieved. For instance, instead of assuming a whole automated control, a computerized aided control system can lower human faults probability by lowering attention requirements and hence fatigue. Man-machine system engineering and interactive display devices appear to be the best tools to determine the optimal automation level for the highest safety level. CEA and EDF use them in their ''ESCRIME'' coordinated research program. (D.L.)

  1. Adaptive Coordinate Descent

    OpenAIRE

    Loshchilov, Ilya; Schoenauer, Marc; Sebag, Michèle

    2011-01-01

    Independence from the coordinate system is one source of efficiency and robustness for the Covariance Matrix Adaptation Evolution Strategy (CMA-ES). The recently proposed Adaptive Encoding (AE) procedure generalizes CMA-ES adaptive mechanism, and can be used together with any optimization algorithm. Adaptive Encoding gradually builds a transformation of the coordinate system such that the new coordinates are as decorrelated as possible with respect to the objective function. But any optimizat...

  2. Conflict and Coordination Problem of Carbon Tax' Diversity Targets in China-Based on the Tax Optimization Theory%Conflict and Coordination Problem of Carbon Tax' Diversity Targets in China-Based on the Tax Optimization Theory

    Institute of Scientific and Technical Information of China (English)

    Xue Gang

    2011-01-01

    Among all the emission reduction measures, carbon tax is recognized as the most effective way to protect our climate. That is why the Chinese government has recently taken it as a tax reform direction, In the current economic analysis, the design of carbon tax is mostly based on the target to maximize the efficiency However, based on the theory of tax system optimization, we should also consider other policy objectives, such as equity, revenue and cost, and then balance different objectives to achieve the suboptimum reform of carbon tax system in China.

  3. Protein standardization III: Method optimization basic principles for quantitative determination of human serum proteins on automated instruments based on turbidimetry or nephelometry.

    Science.gov (United States)

    Blirup-Jensen, S

    2001-11-01

    Quantitative protein determinations in routine laboratories are today most often carried out using automated instruments. However, slight variations in the assay principle, in the programming of the instrument or in the reagents may lead to different results. This has led to the prerequisite of method optimization and standardization. The basic principles of turbidimetry and nephelometry are discussed. The different reading principles are illustrated and investigated. Various problems are identified and a suggestion is made for an integrated, fast and convenient test system for the determination of a number of different proteins on the same instrument. An optimized test system for turbidimetry and nephelometry should comprise high-quality antibodies, calibrators, controls, and buffers and a protocol with detailed parameter settings in order to program the instrument correctly. A good user program takes full advantage of the optimal reading principles for the different instruments. This implies--for all suitable instruments--sample preincubation followed by real sample blanking, which automatically corrects for initial turbidity in the sample. Likewise it is recommended to measure the reagent blank, which represents any turbidity caused by the antibody itself. By correcting all signals with these two blank values the best possible signal is obtained for the specific analyte. An optimized test system should preferably offer a wide measuring range combined with a wide security range, which for the user means few re-runs and maximum security against antigen excess. A non-linear calibration curve based on six standards is obtained using a suitable mathematical fitting model, which normally is part of the instrument software. PMID:11831625

  4. Always-optimally-coordinated candidate selection algorithm for peer-to-peer files sharing system in mobile self-organized networks

    Institute of Scientific and Technical Information of China (English)

    Li Xi; Ji Hong; Zheng Ruiming; Li Ting

    2009-01-01

    In order to improve the performance of peer-to-peer files sharing system under mobile distributed environments, a novel always-optimally-coordinated (AOC) criterion and corresponding candidate selection algorithm are proposed in this paper. Compared with the traditional min-hops criterion, the new approach introduces a fuzzy knowledge combination theory to investigate several important factors that influence files transfer success rate and efficiency. Whereas the min-hops based protocols only ask the nearest candidate peer for desired files, the selection algorithm based on AOC comprehensively considers users' preference and network requirements with flexible balancing rules. Furthermore, its advantage also expresses in the independence of specified resource discovering protocols, allowing for scalability. The simulation results show that when using the AOC based peer selection algorithm, system performance is much better than the min-hops scheme, with files successful transfer rate improved more than 50% and transfer time reduced at least 20%.

  5. Biogas-pH automation control strategy for optimizing organic loading rate of anaerobic membrane bioreactor treating high COD wastewater.

    Science.gov (United States)

    Yu, Dawei; Liu, Jibao; Sui, Qianwen; Wei, Yuansong

    2016-03-01

    Control of organic loading rate (OLR) is essential for anaerobic digestion treating high COD wastewater, which would cause operation failure by overload or less efficiency by underload. A novel biogas-pH automation control strategy using the combined gas-liquor phase monitoring was developed for an anaerobic membrane bioreactor (AnMBR) treating high COD (27.53 g·L(-1)) starch wastewater. The biogas-pH strategy was proceeded with threshold between biogas production rate >98 Nml·h(-1) preventing overload and pH>7.4 preventing underload, which were determined by methane production kinetics and pH titration of methanogenesis slurry, respectively. The OLR and the effluent COD were doubled as 11.81 kgCOD·kgVSS(-1)·d(-1) and halved as 253.4 mg·L(-1), respectively, comparing with a constant OLR control strategy. Meanwhile COD removal rate, biogas yield and methane concentration were synchronously improved to 99.1%, 312 Nml·gCODin(-1) and 74%, respectively. Using the biogas-pH strategy, AnMBR formed a "pH self-regulation ternary buffer system" which seizes carbon dioxide and hence provides sufficient buffering capacity. PMID:26722804

  6. Parameter Extraction for PSpice Models by means of an Automated Optimization Tool – An IGBT model Study Case

    DEFF Research Database (Denmark)

    Suárez, Carlos Gómez; Reigosa, Paula Diaz; Iannuzzo, Francesco;

    2016-01-01

    An original tool for parameter extraction of PSpice models has been released, enabling a simple parameter identification. A physics-based IGBT model is used to demonstrate that the optimization tool is capable of generating a set of parameters which predicts the steady-state and switching behavior...... of two IGBT modules rated at 1.7 kV / 1 kA and 1.7 kV / 1.4kA....

  7. DG-AMMOS: A New tool to generate 3D conformation of small molecules using Distance Geometry and Automated Molecular Mechanics Optimization for in silico Screening

    Directory of Open Access Journals (Sweden)

    Villoutreix Bruno O

    2009-11-01

    Full Text Available Abstract Background Discovery of new bioactive molecules that could enter drug discovery programs or that could serve as chemical probes is a very complex and costly endeavor. Structure-based and ligand-based in silico screening approaches are nowadays extensively used to complement experimental screening approaches in order to increase the effectiveness of the process and facilitating the screening of thousands or millions of small molecules against a biomolecular target. Both in silico screening methods require as input a suitable chemical compound collection and most often the 3D structure of the small molecules has to be generated since compounds are usually delivered in 1D SMILES, CANSMILES or in 2D SDF formats. Results Here, we describe the new open source program DG-AMMOS which allows the generation of the 3D conformation of small molecules using Distance Geometry and their energy minimization via Automated Molecular Mechanics Optimization. The program is validated on the Astex dataset, the ChemBridge Diversity database and on a number of small molecules with known crystal structures extracted from the Cambridge Structural Database. A comparison with the free program Balloon and the well-known commercial program Omega generating the 3D of small molecules is carried out. The results show that the new free program DG-AMMOS is a very efficient 3D structure generator engine. Conclusion DG-AMMOS provides fast, automated and reliable access to the generation of 3D conformation of small molecules and facilitates the preparation of a compound collection prior to high-throughput virtual screening computations. The validation of DG-AMMOS on several different datasets proves that generated structures are generally of equal quality or sometimes better than structures obtained by other tested methods.

  8. Home Automation

    OpenAIRE

    Ahmed, Zeeshan

    2010-01-01

    In this paper I briefly discuss the importance of home automation system. Going in to the details I briefly present a real time designed and implemented software and hardware oriented house automation research project, capable of automating house's electricity and providing a security system to detect the presence of unexpected behavior.

  9. Automated Test-Form Generation

    Science.gov (United States)

    van der Linden, Wim J.; Diao, Qi

    2011-01-01

    In automated test assembly (ATA), the methodology of mixed-integer programming is used to select test items from an item bank to meet the specifications for a desired test form and optimize its measurement accuracy. The same methodology can be used to automate the formatting of the set of selected items into the actual test form. Three different…

  10. Optimal Installation Locations for Automated External Defibrillators in Taipei 7-Eleven Stores: Using GIS and a Genetic Algorithm with a New Stirring Operator

    Directory of Open Access Journals (Sweden)

    Chung-Yuan Huang

    2014-01-01

    Full Text Available Immediate treatment with an automated external defibrillator (AED increases out-of-hospital cardiac arrest (OHCA patient survival potential. While considerable attention has been given to determining optimal public AED locations, spatial and temporal factors such as time of day and distance from emergency medical services (EMSs are understudied. Here we describe a geocomputational genetic algorithm with a new stirring operator (GANSO that considers spatial and temporal cardiac arrest occurrence factors when assessing the feasibility of using Taipei 7-Eleven stores as installation locations for AEDs. Our model is based on two AED conveyance modes, walking/running and driving, involving service distances of 100 and 300 meters, respectively. Our results suggest different AED allocation strategies involving convenience stores in urban settings. In commercial areas, such installations can compensate for temporal gaps in EMS locations when responding to nighttime OHCA incidents. In residential areas, store installations can compensate for long distances from fire stations, where AEDs are currently held in Taipei.

  11. Sequential injection analysis for automation of the Winkler methodology, with real-time SIMPLEX optimization and shipboard application.

    Science.gov (United States)

    Horstkotte, Burkhard; Tovar Sánchez, Antonio; Duarte, Carlos M; Cerdà, Víctor

    2010-01-25

    A multipurpose analyzer system based on sequential injection analysis (SIA) for the determination of dissolved oxygen (DO) in seawater is presented. Three operation modes were established and successfully applied onboard during a research cruise in the Southern ocean: 1st, in-line execution of the entire Winkler method including precipitation of manganese (II) hydroxide, fixation of DO, precipitate dissolution by confluent acidification, and spectrophotometric quantification of the generated iodine/tri-iodide (I(2)/I(3)(-)), 2nd, spectrophotometric quantification of I(2)/I(3)(-) in samples prepared according the classical Winkler protocol, and 3rd, accurate batch-wise titration of I(2)/I(3)(-) with thiosulfate using one syringe pump of the analyzer as automatic burette. In the first mode, the zone stacking principle was applied to achieve high dispersion of the reagent solutions in the sample zone. Spectrophotometric detection was done at the isobestic wavelength 466 nm of I(2)/I(3)(-). Highly reduced consumption of reagents and sample compared to the classical Winkler protocol, linear response up to 16 mg L(-1) DO, and an injection frequency of 30 per hour were achieved. It is noteworthy that for the offline protocol, sample metering and quantification with a potentiometric titrator lasts in general over 5 min without counting sample fixation, incubation, and glassware cleaning. The modified SIMPLEX methodology was used for the simultaneous optimization of four volumetric and two chemical variables. Vertex calculation and consequent application including in-line preparation of one reagent was carried out in real-time using the software AutoAnalysis. The analytical system featured high signal stability, robustness, and a repeatability of 3% RSD (1st mode) and 0.8% (2nd mode) during shipboard application. PMID:20103088

  12. Optimization of the radiological protection of patients undergoing radiography, fluoroscopy and computed tomography. Final report of a coordinated research project in Africa, Asia and eastern Europe

    International Nuclear Information System (INIS)

    Although radiography has been an established imaging modality for over a century, continuous developments have led to improvements in technique resulting in improved image quality at reduced patient dose. If one compares the technique used by Roentgen with the methods used today, one finds that a radiograph can now be obtained at a dose which is smaller by a factor of 100 or more. Nonetheless, some national surveys, particularly in the United Kingdom and in the United States of America in the 1980s and 1990s, have indicated large variations in patient doses for the same diagnostic examination, in some cases by a factor of 20 or more. This arises not only owing to the various types of equipment and accessories used by the different health care providers, but also because of operational factors. The IAEA has a statutory responsibility to establish standards for the protection of people against exposure to ionising radiation and to provide for the worldwide application of those standards. A fundamental requirement of the International Basic Safety Standards for Protection against Ionizing Radiation and for the Safety of Radiation Sources (BSS), issued by the IAEA in cooperation with the FAO, ILO, WHO, PAHO and NEA, is the optimization of radiological protection of patients undergoing medical exposure. Towards its responsibility of implementation of standards and under the subprogramme of radiation safety, in 1995, the IAEA launched a coordinated research project (CRP) on radiological protection in diagnostic radiology in some countries in the Eastern European, African and Asian region. Initially, the CRP addressed radiography only and it covered wide aspects of optimisation of radiological protection. Subsequently, the scope of the CRP was extended to fluoroscopy and computed tomography (CT), but it covered primarily situation analysis of patient doses and equipment quality control. It did not cover patient dose reduction aspects in fluoroscopy and CT. The project

  13. Signal optimization during radio links between a transmitter and receiver located in adjacent material media with differing optical densities

    International Nuclear Information System (INIS)

    Signal optimization is affected during radio links between a transmitter and a receiver located in adjacent material media with differing optical densities. The Optimization is carried out via the automated control theory method. The radio signal obtained after the optimization is coordinated with the two media's electrical characteristics simultaneously; and this enables low power and small antenna of the transmitter, on the one hand, and low sensitivity of the receiver, on the other

  14. Automated Integrated Analog Filter Design Issues

    OpenAIRE

    Karolis Kiela; Romualdas Navickas

    2015-01-01

    An analysis of modern automated integrated analog circuits design methods and their use in integrated filter design is done. Current modern analog circuits automated tools are based on optimization algorithms and/or new circuit generation methods. Most automated integrated filter design methods are only suited to gmC and switched current filter topologies. Here, an algorithm for an active RC integrated filter design is proposed, that can be used in automated filter designs. The algorithm is t...

  15. Efficient automated one-step synthesis of 2-[{sup 18}F]fluoroethylcholine for clinical imaging: optimized reaction conditions and improved quality controls of different synthetic approaches

    Energy Technology Data Exchange (ETDEWEB)

    Asti, Mattia [Nuclear Medicine Department, Santa Maria Nuova Hospital, Reggio Emilia (Italy)], E-mail: asti.mattia@asmn.re.it; Farioli, Daniela; Iori, Michele; Guidotti, Claudio; Versari, Annibale; Salvo, Diana [Nuclear Medicine Department, Santa Maria Nuova Hospital, Reggio Emilia (Italy)

    2010-04-15

    [{sup 18}F]-labelled choline analogues, such as 2-[{sup 18}F]fluoroethylcholine ({sup 18}FECH), have suggested to be a new class of choline derivatives highly useful for the imaging of prostate and brain tumours. In fact, tumour cells with enhanced proliferation rate usually exhibit an improved choline uptake due to the increased membrane phospholipids biosynthesis. The aim of this study was the development of a high yielding synthesis of {sup 18}FECH. The possibility of shortening the synthesis time by reacting all the reagents in a convenient and rapid one-step reaction was specially considered. Methods: {sup 18}FECH was synthesized by reacting [{sup 18}F]fluoride with 1,2-bis(tosyloxy)ethane and N,N-dimethylaminoethanol. The synthesis was carried out using both a one- and a two-step reaction in order to compare the two procedures. The effects on the radiochemical yield and purity by using different [{sup 18}F]fluoride phase transfer catalysts, reagents amounts and purification methods were assessed. Quality controls on the final products were performed by means of radio-thin-layer chromatography, gas chromatography and high-performance liquid chromatography equipped with conductimetric, ultraviolet and radiometric detectors. Results: In the optimized experimental conditions, {sup 18}FECH was synthesized with a radiochemical yield of 43{+-}3% and 48{+-}1% (not corrected for decay) when the two-step or the one-step approach were used, respectively. The radiochemical purity was higher than 99% regardless of the different synthetic pathways or purification methods adopted. The main chemical impurity was due to N,N-dimethylmorpholinium. The identity of this impurity in {sup 18}FECH preparations was not previously reported. Conclusion: An improved two-step and an innovative one-step reaction for synthesizing {sup 18}FECH in a high yield were reported. The adaptation of a multistep synthesis to a single step process, opens further possibilities for simpler and more

  16. Efficient automated one-step synthesis of 2-[18F]fluoroethylcholine for clinical imaging: optimized reaction conditions and improved quality controls of different synthetic approaches

    International Nuclear Information System (INIS)

    [18F]-labelled choline analogues, such as 2-[18F]fluoroethylcholine (18FECH), have suggested to be a new class of choline derivatives highly useful for the imaging of prostate and brain tumours. In fact, tumour cells with enhanced proliferation rate usually exhibit an improved choline uptake due to the increased membrane phospholipids biosynthesis. The aim of this study was the development of a high yielding synthesis of 18FECH. The possibility of shortening the synthesis time by reacting all the reagents in a convenient and rapid one-step reaction was specially considered. Methods: 18FECH was synthesized by reacting [18F]fluoride with 1,2-bis(tosyloxy)ethane and N,N-dimethylaminoethanol. The synthesis was carried out using both a one- and a two-step reaction in order to compare the two procedures. The effects on the radiochemical yield and purity by using different [18F]fluoride phase transfer catalysts, reagents amounts and purification methods were assessed. Quality controls on the final products were performed by means of radio-thin-layer chromatography, gas chromatography and high-performance liquid chromatography equipped with conductimetric, ultraviolet and radiometric detectors. Results: In the optimized experimental conditions, 18FECH was synthesized with a radiochemical yield of 43±3% and 48±1% (not corrected for decay) when the two-step or the one-step approach were used, respectively. The radiochemical purity was higher than 99% regardless of the different synthetic pathways or purification methods adopted. The main chemical impurity was due to N,N-dimethylmorpholinium. The identity of this impurity in 18FECH preparations was not previously reported. Conclusion: An improved two-step and an innovative one-step reaction for synthesizing 18FECH in a high yield were reported. The adaptation of a multistep synthesis to a single step process, opens further possibilities for simpler and more reliable automations.

  17. Optimization

    CERN Document Server

    Pearce, Charles

    2009-01-01

    Focuses on mathematical structure, and on real-world applications. This book includes developments in several optimization-related topics such as decision theory, linear programming, turnpike theory, duality theory, convex analysis, and queuing theory.

  18. Library Automation

    OpenAIRE

    Dhakne, B. N.; Giri, V. V; Waghmode, S. S.

    2010-01-01

    New technologies library provides several new materials, media and mode of storing and communicating the information. Library Automation reduces the drudgery of repeated manual efforts in library routine. By use of library automation collection, Storage, Administration, Processing, Preservation and communication etc.

  19. Optimization of automation: II. Estimation method of ostracism rate based on the loss of situation awareness of human operators in nuclear power plants

    International Nuclear Information System (INIS)

    Highlights: • We analyze the relationship between Out-of-the-Loop and the loss of human operators’ situation awareness. • We propose an ostracism rate estimation method by only considering the negative effects of automation. • The ostracism rate reflects how much automation interrupts human operators to receive information. • The higher the ostracism rate is, the lower the accuracy of human operators’ SA will be. - Abstract: With the introduction of automation in various industries including the nuclear field, its side effect, referred to as the Out-of-the-Loop (OOTL) problem, has emerged as a critical issue that needs to be addressed. Many studies have been attempted to analyze and solve the OOTL problem, but this issue still needs a clear solution to provide criteria for introducing automation. Therefore, a quantitative estimation method for identifying negative effects of automation is proposed in this paper. The representative aspect of the OOTL problem in nuclear power plants (NPPs) is that human operators in automated operations are given less information than human operators in manual operations. In other words, human operators have less opportunity to obtain needed information as automation is introduced. From this point of view, the degree of difficulty in obtaining information from automated systems is defined as the Level of Ostracism (LOO). Using the LOO and information theory, we propose the ostracism rate, which is a new estimation method that expresses how much automation interrupts human operators’ situation awareness. We applied production rules to describe the human operators’ thinking processes, Bayesian inference to describe the production rules mathematically, and information theory to calculate the amount of information that human operators receive through observations. The validity of the suggested method was proven by conducting an experiment. The results show that the ostracism rate was significantly related to the accuracy

  20. The model of the stochastic optimization of the automated forecast of dangerous squalls and tornadoes over the territory of the republic of byelorussia

    OpenAIRE

    Perekhodtseva, E. V.

    2013-01-01

    Development of successful method of automated statistical well-in-advance forecast (from 12 hours to two days) of dangerous phenomena – severe squalls and tornadoes – could allow mitigate the economic losses.

  1. Process automation

    International Nuclear Information System (INIS)

    Process automation technology has been pursued in the chemical processing industries and to a very limited extent in nuclear fuel reprocessing. Its effective use has been restricted in the past by the lack of diverse and reliable process instrumentation and the unavailability of sophisticated software designed for process control. The Integrated Equipment Test (IET) facility was developed by the Consolidated Fuel Reprocessing Program (CFRP) in part to demonstrate new concepts for control of advanced nuclear fuel reprocessing plants. A demonstration of fuel reprocessing equipment automation using advanced instrumentation and a modern, microprocessor-based control system is nearing completion in the facility. This facility provides for the synergistic testing of all chemical process features of a prototypical fuel reprocessing plant that can be attained with unirradiated uranium-bearing feed materials. The unique equipment and mission of the IET facility make it an ideal test bed for automation studies. This effort will provide for the demonstration of the plant automation concept and for the development of techniques for similar applications in a full-scale plant. A set of preliminary recommendations for implementing process automation has been compiled. Some of these concepts are not generally recognized or accepted. The automation work now under way in the IET facility should be useful to others in helping avoid costly mistakes because of the underutilization or misapplication of process automation. 6 figs

  2. Sensitivity analysis approach to multibody systems described by natural coordinates

    Science.gov (United States)

    Li, Xiufeng; Wang, Yabin

    2014-03-01

    The classical natural coordinate modeling method which removes the Euler angles and Euler parameters from the governing equations is particularly suitable for the sensitivity analysis and optimization of multibody systems. However, the formulation has so many principles in choosing the generalized coordinates that it hinders the implementation of modeling automation. A first order direct sensitivity analysis approach to multibody systems formulated with novel natural coordinates is presented. Firstly, a new selection method for natural coordinate is developed. The method introduces 12 coordinates to describe the position and orientation of a spatial object. On the basis of the proposed natural coordinates, rigid constraint conditions, the basic constraint elements as well as the initial conditions for the governing equations are derived. Considering the characteristics of the governing equations, the newly proposed generalized-α integration method is used and the corresponding algorithm flowchart is discussed. The objective function, the detailed analysis process of first order direct sensitivity analysis and related solving strategy are provided based on the previous modeling system. Finally, in order to verify the validity and accuracy of the method presented, the sensitivity analysis of a planar spinner-slider mechanism and a spatial crank-slider mechanism are conducted. The test results agree well with that of the finite difference method, and the maximum absolute deviation of the results is less than 3%. The proposed approach is not only convenient for automatic modeling, but also helpful for the reduction of the complexity of sensitivity analysis, which provides a practical and effective way to obtain sensitivity for the optimization problems of multibody systems.

  3. Components for automated microscopy

    Science.gov (United States)

    Determann, H.; Hartmann, H.; Schade, K. H.; Stankewitz, H. W.

    1980-12-01

    A number of devices, aiming at automated analysis of microscopic objects as regards their morphometrical parameters or their photometrical values, were developed. These comprise: (1) a device for automatic focusing tuned on maximum contrast; (2) a feedback system for automatic optimization of microscope illumination; and (3) microscope lenses with adjustable pupil distances for usage in the two previous devices. An extensive test program on histological and zytological applications proves the wide application possibilities of the autofocusing device.

  4. Optimization of production and quality control of therapeutic radionuclides and radiopharmaceuticals. Final report of a co-ordinated research project 1994-1998

    International Nuclear Information System (INIS)

    The 'renaissance' of the therapeutic applications of radiopharmaceuticals during the last few years was in part due to a greater availability of radionuclides with appropriate nuclear decay properties, as well as to the development of carrier molecules with improved characteristics. Although radionuclides such as 32P, 89Sr and 131I, were used from the early days of nuclear medicine in the late 1930s and early 1940s, the inclusion of other particle emitting radionuclides into the nuclear medicine armamentarium was rather late. Only in the early 1980s did the specialized scientific literature start to show the potential for using other beta emitting nuclear reactor produced radionuclides such as 153Sm, 166 Ho, 165Dy and 186-188Re. Bone seeking agents radiolabelled with the above mentioned beta emitting radionuclides demonstrated clear clinical potential in relieving intense bone pain resulting from metastases of the breast, prostate and lung of cancer patients. Therefore, upon the recommendation of a consultants meeting held in Vienna in 1993, the Co-ordinated Research Project (CRP) on Optimization of the Production and quality control of Radiotherapeutic Radionuclides and Radiopharmaceuticals was established in 1994. The CRP aimed at developing and improving existing laboratory protocols for the production of therapeutic radionuclides using existing nuclear research reactors including the corresponding radiolabelling, quality control procedures; and validation in experimental animals. With the participation of ten scientists from IAEA Member States, several laboratory procedures for preparation and quality control were developed, tested and assessed as potential therapeutic radiopharmaceuticals for bone pain palliation. In particular, the CRP optimised the reactor production of 153Sm and the preparation of the radiopharmaceutical 153Sm-EDTMP (ethylene diamine tetramethylene phosphonate), as well as radiolabelling techniques and quality control methods for the

  5. Practically Coordinating

    OpenAIRE

    Durfee, Edmund H.

    1999-01-01

    To coordinate, intelligent agents might need to know something about themselves, about each other, about how others view themselves and others, about how others think others view themselves and others, and so on. Taken to an extreme, the amount of knowledge an agent might possess to coordinate its interactions with others might outstrip the agent's limited reasoning capacity (its available time, memory, and so on). Much of the work in studying and building multiagent systems has thus been dev...

  6. Design automation, languages, and simulations

    CERN Document Server

    Chen, Wai-Kai

    2003-01-01

    As the complexity of electronic systems continues to increase, the micro-electronic industry depends upon automation and simulations to adapt quickly to market changes and new technologies. Compiled from chapters contributed to CRC's best-selling VLSI Handbook, this volume covers a broad range of topics relevant to design automation, languages, and simulations. These include a collaborative framework that coordinates distributed design activities through the Internet, an overview of the Verilog hardware description language and its use in a design environment, hardware/software co-design, syst

  7. Order Picking Optimization of Automated Warehouses Based on the Ant Colony Genetic Algorithm%基于蚁群遗传算法的自动化立体仓库拣选路径优化

    Institute of Scientific and Technical Information of China (English)

    庞龙; 陆金桂

    2012-01-01

    Optimizing the order picking is a useful way to improve the efficiency of automated warehouses. According to analyzing the process and characteristics of picking in automated warehouses, a new mathematic model is proposed for automated warehouses. Firstly, we make an excellent initial population by the ant colony algorithm, and then optimize and solve the model with the genetic algorithms. The simulation results show that the model is feasible, and the mix of the ant colony and genetic algorithms is not only feasible but also accelerate the speed of the algorithm, and then improve the efficiency of order picking.%合理优化货物的拣选路径是提高自动化立体仓库运行效率的一种有效方法.通过分析自动化立体仓库拣选作业的工作流程与特点,为自动化仓库拣选作业建立优化数学模型,首先利用蚁群算法生成优异的初始种群,然后通过遗传算法对该数学模型进行优化求解.仿真结果表明该模型是可行的,蚁群遗传算法的混合不仅得到更精确的结果而且加速了算法的求解速度,从而能够改善拣选作业的效率.

  8. Relative observability in coordination control

    Czech Academy of Sciences Publication Activity Database

    Komenda, Jan; Masopust, Tomáš; van Schuppen, J. H.

    Piscataway: IEEE, 2015 - (Lennartson, B.), s. 75-80 ISBN 978-1-4673-8182-6. [IEEE International Conference on Automation Science and Engineering (CASE), 2015. Gothenburg (SE), 24.08.2015-28.08.2015] R&D Projects: GA MŠk LH13012; GA ČR GA15-02532S Institutional support: RVO:67985840 Keywords : supervisory control * coordination control * relative observability Subject RIV: BA - General Mathematics http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7294044

  9. 计及省地协调的地区AVC可变目标优化策略%Variable-Objective Optimization Strategy of Regional AVC Based on Provincial and Regional Coordination

    Institute of Scientific and Technical Information of China (English)

    董岳昕; 杨洪耕

    2011-01-01

    Considering coordinated control between provincial and regional automatic voltage control(AVC) systems, a variable-objective optimal method is presented. In coordinated control mode, regional AVC needs to provide reserve gateway reactive power capacity to provincial AVC, and the optimal objective is the maxi mum devoting/removing reactive power. After receiving adjustable range of gateway power factors, regional AVC balances between reactive power flow and voltage quality and then selects feasible-region optimization, convergent optimization or relaxation optimization to accomplish various coordinated control goals. If there is communication interruption or other faults, regional AVC will switch to autonomous decentralized control mode, and stage-by-stage optimization method is introduced. The proposed control methods are applied to a practical grid, and the results indicate that the approach proposed is effective in optimizing the reactive power flow, improving the voltage quality and is practical for projects.%考虑省地自动电压控制系统(AVC)联合协调控制要求,提出一种可变目标函数的优化方法.协调控制模式下,地区AVC向省网提供关口无功备用容量时,以最大可投/切容量为优化目标;接收到省网下发的关口功率因数限值后,地区AVC在省地无功平衡与主网电压合格之间进行综合权衡,选择可行域优化、趋同优化或松弛优化策略,通过改变目标函数实现不同情况下的协调控制效果.在出现通讯中断等故障情况下,地区AVC自动转入自律分散控制模式,并采用逐级优化策略.将所提出的优化方法应用于实际电网,运行结果表明所提策略可以进一步优化无功潮流,改善电压质量,具有工程实用性.

  10. Integrating Test-Form Formatting into Automated Test Assembly

    Science.gov (United States)

    Diao, Qi; van der Linden, Wim J.

    2013-01-01

    Automated test assembly uses the methodology of mixed integer programming to select an optimal set of items from an item bank. Automated test-form generation uses the same methodology to optimally order the items and format the test form. From an optimization point of view, production of fully formatted test forms directly from the item pool using…

  11. Advertising and Coordination

    OpenAIRE

    1990-01-01

    We show that when relevant market information such as price is difficult to communicate, advertising plays a key role in bringing about optimal coordination of purchase behavior: an efficient firm uses advertising expenditures in place of price to inform sophisticated consumers that it offers a better deal. This provides a theoretical explanation for Benham's (1972) empirical association of the ability to advertise with lower prices and larger scale. We find that advertising improves welfare ...

  12. Application of an automation system and a supervisory control and data acquisition (SCADA) system for the optimal operation of a membrane adsorption hybrid system.

    Science.gov (United States)

    Smith, P J; Vigneswaran, S; Ngo, H H; Nguyen, H T; Ben-Aim, R

    2006-01-01

    The application of automation and supervisory control and data acquisition (SCADA) systems to municipal water and wastewater treatment plants is rapidly increasing. However, the application of these systems is less frequent in the research and development phases of emerging treatment technologies used in these industries. This study involved the implementation of automation and a SCADA system to the submerged membrane adsorption hybrid system for use in a semi-pilot scale research project. An incremental approach was used in the development of the automation and SCADA systems, leading to the development of two new control systems. The first system developed involved closed loop control of the backwash initiation, based upon a pressure increase, leading to productivity improvements as the backwash is only activated when required, not at a fixed time. This system resulted in a 40% reduction in the number of backwashes required and also enabled optimised operations under unsteady concentrations of wastewater. The second system developed involved closed loop control of the backwash duration, whereby the backwash was terminated when the pressure reached a steady state. This system resulted in a reduction of the duration of the backwash of up to 25% and enabled optimised operations as the foulant build-up within the reactor increased. PMID:16722068

  13. Java Implementation based Heterogeneous Video Sequence Automated Surveillance Monitoring

    Directory of Open Access Journals (Sweden)

    Sankari Muthukarupan

    2013-04-01

    Full Text Available Automated video based surveillance monitoring is an essential and computationally challenging task to resolve issues in the secure access localities. This paper deals with some of the issues which are encountered in the integration surveillance monitoring in the real-life circumstances. We have employed video frames which are extorted from heterogeneous video formats. Each video frame is chosen to identify the anomalous events which are occurred in the sequence of time-driven process. Background subtraction is essentially required based on the optimal threshold and reference frame. Rest of the frames are ablated from reference image, hence all the foreground images paradigms are obtained. The co-ordinate existing in the deducted images is found by scanning the images horizontally until the occurrence of first black pixel. Obtained coordinate is twinned with existing co-ordinates in the primary images. The twinned co-ordinate in the primary image is considered as an active-region-of-interest. At the end, the starred images are converted to temporal video that scrutinizes the moving silhouettes of human behaviors in a static background. The proposed model is implemented in Java. Results and performance analysis are carried out in the real-life environments.

  14. Automation Security

    OpenAIRE

    Mirzoev, Dr. Timur

    2014-01-01

    Web-based Automated Process Control systems are a new type of applications that use the Internet to control industrial processes with the access to the real-time data. Supervisory control and data acquisition (SCADA) networks contain computers and applications that perform key functions in providing essential services and commodities (e.g., electricity, natural gas, gasoline, water, waste treatment, transportation) to all Americans. As such, they are part of the nation s critical infrastructu...

  15. TECHNICAL COORDINATION

    CERN Multimedia

    A. Ball

    Overview From a technical perspective, CMS has been in “beam operation” state since 6th November. The detector is fully closed with all components operational and the magnetic field is normally at the nominal 3.8T. The UXC cavern is normally closed with the radiation veto set. Access to UXC is now only possible during downtimes of LHC. Such accesses must be carefully planned, documented and carried out in agreement with CMS Technical Coordination, Experimental Area Management, LHC programme coordination and the CCC. Material flow in and out of UXC is now strictly controlled. Access to USC remains possible at any time, although, for safety reasons, it is necessary to register with the shift crew in the control room before going down.It is obligatory for all material leaving UXC to pass through the underground buffer zone for RP scanning, database entry and appropriate labeling for traceability. Technical coordination (notably Stephane Bally and Christoph Schaefer), the shift crew and run ...

  16. Automated Core Design

    International Nuclear Information System (INIS)

    Multistate searching methods are a subfield of distributed artificial intelligence that aims to provide both principles for construction of complex systems involving multiple states and mechanisms for coordination of independent agents' actions. This paper proposes a multistate searching algorithm with reinforcement learning for the automatic core design of a boiling water reactor. The characteristics of this algorithm are that the coupling structure and the coupling operation suitable for the assigned problem are assumed and an optimal solution is obtained by mutual interference in multistate transitions using multiagents. Calculations in an actual plant confirmed that the proposed algorithm increased the convergence ability of the optimization process

  17. Markov Tracking for Agent Coordination

    Science.gov (United States)

    Washington, Richard; Lau, Sonie (Technical Monitor)

    1998-01-01

    Partially observable Markov decision processes (POMDPs) axe an attractive representation for representing agent behavior, since they capture uncertainty in both the agent's state and its actions. However, finding an optimal policy for POMDPs in general is computationally difficult. In this paper we present Markov Tracking, a restricted problem of coordinating actions with an agent or process represented as a POMDP Because the actions coordinate with the agent rather than influence its behavior, the optimal solution to this problem can be computed locally and quickly. We also demonstrate the use of the technique on sequential POMDPs, which can be used to model a behavior that follows a linear, acyclic trajectory through a series of states. By imposing a "windowing" restriction that restricts the number of possible alternatives considered at any moment to a fixed size, a coordinating action can be calculated in constant time, making this amenable to coordination with complex agents.

  18. Coordinated unbundling

    DEFF Research Database (Denmark)

    Timmermans, Bram; Zabala-Iturriagagoitia, Jon Mikel

    2013-01-01

    not focused on the role this policy instrument can play in the promotion of (knowledge-intensive) entrepreneurship. This paper investigates this link in more detail and introduces the concept of coordinated unbundling as a strategy that can facilitate this purpose. We also present a framework on how......Public procurement for innovation is a matter of using public demand to trigger innovation. Empirical studies have demonstrated that demand-based policy instruments can be considered to be a powerful tool in stimulating innovative processes among existing firms; however, the existing literature has...

  19. How to assess sustainability in automated manufacturing

    DEFF Research Database (Denmark)

    Dijkman, Teunis Johannes; Rödger, Jan-Markus; Bey, Niki

    2015-01-01

    The aim of this paper is to describe how sustainability in automation can be assessed. The assessment method is illustrated using a case study of a robot. Three aspects of sustainability assessment in automation are identified. Firstly, we consider automation as part of a larger system that...... fulfills the market demand for a given functionality. Secondly, three aspects of sustainability have to be assessed: environment, economy, and society. Thirdly, automation is part of a system with many levels, with different actors on each level, resulting in meeting the market demand. In this system......, (sustainability) specifications move top-down, which helps avoiding sub-optimization and problem shifting. From these three aspects, sustainable automation is defined as automation that contributes to products that fulfill a market demand in a more sustainable way. The case study presents the carbon footprints of...

  20. DFT OPTIMIZATION STUDIES OF ALPHA-MALTOSE: ISO-ENERGETIC AND INTERNAL COORDINATE CONTOUR MAPS UPON ROTATION ABOUT THE GLYCOSIDIC BONDS

    Science.gov (United States)

    The disaccharide alpha-maltose is a molecular template for amylose. Our previous DFT work on maltose is expanded to a set of 63 fully optimized (B3LYP/6-311++G**) conformations. All clockwise, and counter clockwise hydroxyl groups, as well as 'kink' and band-slip conformers, are studied. Adiabati...

  1. TECHNICAL COORDINATION

    CERN Multimedia

    A. Ball

    2010-01-01

    Operational Experience At the end of the first full-year running period of LHC, CMS is established as a reliable, robust and mature experiment. In particular common systems and infrastructure faults accounted for <0.6 % CMS downtime during LHC pp physics. Technical operation throughout the entire year was rather smooth, the main faults requiring UXC access being sub-detector power systems and rack-cooling turbines. All such problems were corrected during scheduled technical stops, in the shadow of tunnel access needed by the LHC, or in negotiated accesses or access extensions. Nevertheless, the number of necessary accesses to the UXC averaged more than one per week and the technical stops were inevitably packed with work packages, typically 30 being executed within a few days, placing a high load on the coordination and area management teams. It is an appropriate moment for CMS Technical Coordination to thank all those in many CERN departments and in the Collaboration, who were involved in CMS techni...

  2. 基于转向稳定性的汽车悬架协调优化%Coordinated optimal of automotive suspension based on steering stability

    Institute of Scientific and Technical Information of China (English)

    刘伟; 史文库; 郭福祥; 沈志宏; 方德广

    2011-01-01

    A mathematical model was built for an automotive magneto-rheological damper based on the performance test. A multi-body dynamics model and a vistual proving ground were established for a passenger car using the multi-body dynamics simulation software SIMPACK. In view of the impact of the semi-active suspension system(SASS) and the steering system on the vehicle.steering stability, a coordinated controller based on the PID neural network was designed, the data exchange interface between the SASS coordinated controller and the vehicle multi-body dynamics model was defined under MATLAB enviornment, and the coordinated control of vehicle SASS and steering system was achieved. The simulation results showed that the corrdinated control stralegy using PID neural network can reduce the vibration transmitted from the suspension system, adjecst the yaw and roll motions of car body at steering condition, mitigate the contradiction between steering stability and ride comfort of the vehicle.%基于试验研究建立了某款车用磁流变阻尼器的数学模型.利用多体动力学仿真软件SIMPACK建立了某款乘用客车整车多体动力学模型和虚拟仿真环境.针对半主动悬架系统和转向系统对汽车操纵稳定性的影响,提出了一种PID神经网络协调控制器,并在Matlab环境中定义了半主动悬架协调控制器与整车多体动力学模型的数据交换接口,实现了汽车半主动悬架和转向系统的协调控制.仿真结果表明:PID神经网络协调控制策略可以抑制由悬架传递的振动,调节汽车转向时车身的横摆及侧倾运动,有效地解决了汽车悬架设计中操纵稳定性与行驶平顺性之间的矛盾.

  3. Towards reduction of Paradigm coordination models

    NARCIS (Netherlands)

    Andova, S.; Groenewegen, L.P.J.; Vink, E.P. de; Aceto, L.; Mousavi, M.R.

    2011-01-01

    The coordination modelling language Paradigm addresses collaboration between components in terms of dynamic constraints. Within a Paradigm model, component dynamics are consistently specified at a detailed and a global level of abstraction. To enable automated verification of Paradigm models, a tran

  4. JAERI contribution for the IAEA coordinated research program phase III (CRP-3) on 'optimizing of reactor pressure vessel surveillance programmes and their analysis'

    International Nuclear Information System (INIS)

    As a part of IAEA coordinated research program on irradiation embrittlement of RPV steels, JAERI performed irradiation study using seven materials with varying copper and nickel contents. Irradiation of test specimens was conducted in JMTR of JAERI/Oarai and post irradiation tests including fracture toughness were done at hot laboratory at JAERI/Tokai. The following conclusions were drawn: (1) With increasing Ni contents from 0.1 to 1.18 wt%, radiation hardening and therefore embrittlement became larger. (2) The increase of yield stress can be correlated with hardness increase and Charpy transition temperature shift. (3) In the upper shelf region, irradiation response on fracture toughness was well correlated with radiation hardening, while no good correlation was found between Charpy energy decrease and radiation hardening. (author)

  5. Integrated Automation System for Rare Earth Countercurrent Extraction Process

    Institute of Scientific and Technical Information of China (English)

    柴天佑; 杨辉

    2004-01-01

    Lower automation level in industrial rare-earth extraction processes results in high production cost, inconsistent product quality and great consumption of resources in China. An integrated automation system for extraction process of rare earth is proposed to realize optimal product indices, such as product purity,recycle rate and output. The optimal control strategy for output component, structure and function of the two-gradcd integrated automation system composed of the process management grade and the process control grade were discussed. This system is successfully applied to a HAB yttrium extraction production process and was found to provide optimal control, optimal operation, optimal management and remarkable benefits.

  6. RUN COORDINATION

    CERN Multimedia

    C. Delaere

    2012-01-01

      With the analysis of the first 5 fb–1 culminating in the announcement of the observation of a new particle with mass of around 126 GeV/c2, the CERN directorate decided to extend the LHC run until February 2013. This adds three months to the original schedule. Since then the LHC has continued to perform extremely well, and the total luminosity delivered so far this year is 22 fb–1. CMS also continues to perform excellently, recording data with efficiency higher than 95% for fills with the magnetic field at nominal value. The highest instantaneous luminosity achieved by LHC to date is 7.6x1033 cm–2s–1, which translates into 35 interactions per crossing. On the CMS side there has been a lot of work to handle these extreme conditions, such as a new DAQ computer farm and trigger menus to handle the pile-up, automation of recovery procedures to minimise the lost luminosity, better training for the shift crews, etc. We did suffer from a couple of infrastructure ...

  7. Coordination Capacity

    CERN Document Server

    Cuff, Paul; Cover, Thomas

    2009-01-01

    We develop elements of a theory of cooperation and coordination in networks. Rather than considering a communication network as a means of distributing information, or of reconstructing random processes at remote nodes, we ask what dependence can be established among the nodes given the communication constraints. Specifically, in a network with communication rates between the nodes, we ask what is the set of all achievable joint distributions p(x1, ..., xm) of actions at the nodes on the network. Several networks are solved, including arbitrarily large cascade networks. Distributed cooperation can be the solution to many problems such as distributed games, distributed control, and establishing mutual information bounds on the influence of one part of a physical system on another.

  8. 计及负荷与储能装置协调优化的微网可靠性评估%Reliability Evaluation of Microgrids Considering Coordinative Optimization of Loads and Storage Devices

    Institute of Scientific and Technical Information of China (English)

    别朝红; 李更丰; 谢海鹏

    2014-01-01

    For microgrids, coordinative optimization of loads and storage devices is an important approach that promotes the utilization of renewable energy and economic operation. However, the optimization directly changes the customers’ consumption habits and the operation status of storage devices, and affects the reliability of microgrids. This paper establishes optimization models for loads and storages, which are integrated into the reliability evaluation of microgrids by a sequential Monte Carlo method.The integration realizes the consideration of the coordinative optimizationin reliability evaluation of microgrids.Besides, new reliability indices are defined to quantify the impacts of the optimization on the reliability of customers, storage devices and microgrids. Extensive results indicate the effectiveness and accuracy of the presented models and methods. With consideration of the load and storage optimization, the results are of significance to make microgrid operation plans andimprove the reliability and economy of microgrids.%微网中负荷与储能装置的协调优化是促进可再生能源的利用,提高微网运行经济性的重要手段,但同时将直接改变用户的用电习惯和储能装置的运行特性,进而影响微网的可靠性。本文通过建立负荷与储能装置的协调优化模型,并基于时序蒙特卡洛模拟法,将该模型与微网可靠性评估相结合,实现在微网可靠性评估中计及负荷与储能装置协调优化的影响。此外,定义了新的负荷、储能装置以及微网整体的可靠性指标,对该影响进行定量化评估。通过算例分析,验证了上述模型、方法及指标体系的有效性。计算结果表明,计及负荷与储能装置协调优化影响使得评估更加符合微网的运行实际,对制定合理的微网运行方案,提高其可靠性和经济性具有重要的意义。

  9. Automated curved planar reformation of 3D spine images

    International Nuclear Information System (INIS)

    Traditional techniques for visualizing anatomical structures are based on planar cross-sections from volume images, such as images obtained by computed tomography (CT) or magnetic resonance imaging (MRI). However, planar cross-sections taken in the coordinate system of the 3D image often do not provide sufficient or qualitative enough diagnostic information, because planar cross-sections cannot follow curved anatomical structures (e.g. arteries, colon, spine, etc). Therefore, not all of the important details can be shown simultaneously in any planar cross-section. To overcome this problem, reformatted images in the coordinate system of the inspected structure must be created. This operation is usually referred to as curved planar reformation (CPR). In this paper we propose an automated method for CPR of 3D spine images, which is based on the image transformation from the standard image-based to a novel spine-based coordinate system. The axes of the proposed spine-based coordinate system are determined on the curve that represents the vertebral column, and the rotation of the vertebrae around the spine curve, both of which are described by polynomial models. The optimal polynomial parameters are obtained in an image analysis based optimization framework. The proposed method was qualitatively and quantitatively evaluated on five CT spine images. The method performed well on both normal and pathological cases and was consistent with manually obtained ground truth data. The proposed spine-based CPR benefits from reduced structural complexity in favour of improved feature perception of the spine. The reformatted images are diagnostically valuable and enable easier navigation, manipulation and orientation in 3D space. Moreover, reformatted images may prove useful for segmentation and other image analysis tasks

  10. Automated Budget System

    Data.gov (United States)

    Department of Transportation — The Automated Budget System (ABS) automates management and planning of the Mike Monroney Aeronautical Center (MMAC) budget by providing enhanced capability to plan,...

  11. Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs.

    Science.gov (United States)

    Saito, Atsushi; Nawano, Shigeru; Shimizu, Akinobu

    2016-02-01

    The goal of this study is to provide a theoretical framework for accurately optimizing the segmentation energy considering all of the possible shapes generated from the level-set-based statistical shape model (SSM). The proposed algorithm solves the well-known open problem, in which a shape prior may not be optimal in terms of an objective functional that needs to be minimized during segmentation. The algorithm allows the selection of an optimal shape prior from among all possible shapes generated from an SSM by conducting a branch-and-bound search over an eigenshape space. The proposed algorithm does not require predefined shape templates or the construction of a hierarchical clustering tree before graph-cut segmentation. It jointly optimizes an objective functional in terms of both the shape prior and segmentation labeling, and finds an optimal solution by considering all possible shapes generated from an SSM. We apply the proposed algorithm to both pancreas and spleen segmentation using multiphase computed tomography volumes, and we compare the results obtained with those produced by a conventional algorithm employing a branch-and-bound search over a search tree of predefined shapes, which were sampled discretely from an SSM. The proposed algorithm significantly improves the segmentation performance in terms of the Jaccard index and Dice similarity index. In addition, we compare the results with the state-of-the-art multiple abdominal organs segmentation algorithm, and confirmed that the performances of both algorithms are comparable to each other. We discuss the high computational efficiency of the proposed algorithm, which was determined experimentally using a normalized number of traversed nodes in a search tree, and the extensibility of the proposed algorithm to other SSMs or energy functionals. PMID:26716720

  12. Automated drafting system uses computer techniques

    Science.gov (United States)

    Millenson, D. H.

    1966-01-01

    Automated drafting system produces schematic and block diagrams from the design engineers freehand sketches. This system codes conventional drafting symbols and their coordinate locations on standard size drawings for entry on tapes that are used to drive a high speed photocomposition machine.

  13. RUN COORDINATION

    CERN Multimedia

    C. Delaere

    2013-01-01

    Since the LHC ceased operations in February, a lot has been going on at Point 5, and Run Coordination continues to monitor closely the advance of maintenance and upgrade activities. In the last months, the Pixel detector was extracted and is now stored in the pixel lab in SX5; the beam pipe has been removed and ME1/1 removal has started. We regained access to the vactank and some work on the RBX of HB has started. Since mid-June, electricity and cooling are back in S1 and S2, allowing us to turn equipment back on, at least during the day. 24/7 shifts are not foreseen in the next weeks, and safety tours are mandatory to keep equipment on overnight, but re-commissioning activities are slowly being resumed. Given the (slight) delays accumulated in LS1, it was decided to merge the two global runs initially foreseen into a single exercise during the week of 4 November 2013. The aim of the global run is to check that we can run (parts of) CMS after several months switched off, with the new VME PCs installed, th...

  14. RUN COORDINATION

    CERN Multimedia

    Christophe Delaere

    2013-01-01

    The focus of Run Coordination during LS1 is to monitor closely the advance of maintenance and upgrade activities, to smooth interactions between subsystems and to ensure that all are ready in time to resume operations in 2015 with a fully calibrated and understood detector. After electricity and cooling were restored to all equipment, at about the time of the last CMS week, recommissioning activities were resumed for all subsystems. On 7 October, DCS shifts began 24/7 to allow subsystems to remain on to facilitate operations. That culminated with the Global Run in November (GriN), which   took place as scheduled during the week of 4 November. The GriN has been the first centrally managed operation since the beginning of LS1, and involved all subdetectors but the Pixel Tracker presently in a lab upstairs. All nights were therefore dedicated to long stable runs with as many subdetectors as possible. Among the many achievements in that week, three items may be highlighted. First, the Strip...

  15. P164-M Optimization of the Gel Shredder: A Centrifugal Device for Automated In-gel Digestion with Improved Peptide Recovery.

    OpenAIRE

    Lazarev, A.; Rejtar, T.; Karger, B. L.

    2007-01-01

    Proteomic workflow frequently involves gel separations. Poor peptide recovery from in-gel digestion procedures is at large influenced by the properties of polyacrylamide gel, which restricts access of proteolytic enzymes to the protein substrate as well as prevents complete extraction of certain peptides. We have designed an optimized centrifugal device which allows integrated washing, destaining and shredding of gel bands into uniform blocks of controlled size, roughly 100 μm, prior to the e...

  16. Purchasing Optimization and Decision of Supply Chain based on Flexible Contract Coordinating%基于柔性契约协调机制下的供应链采购优化与决策

    Institute of Scientific and Technical Information of China (English)

    朱珠; 朱云龙

    2012-01-01

    To maximize the profits of the system and each entity on the supply chain, a coordination model was established based on flexible coordination mechanism of option contract. The influence on improving the performance of supply chain composed of multi-suppliers and a core-manufacturer was analyzed. Due to the characteristic that the manufacturer had strong bargaining power under the many-to-one supply chain structure, a Stackelberg game model was constructed in which manufacturer was leader and the suppliers were followers. Then, optimal decisions under central and decentralized control were analyzed respectively. It shows that manufacturer can design appropriate parameters to encourage the suppliers' efforts while the performance of the supply chain making Pareto improvement. Finally, the validity of the flexible coordination mechanism was illustrated by a numerical example. The results also show that the manufacturer cannot set the initial order arbitrarily under the very coordination mechanism.%为提高供应链及链上各实体的收益,合理分配采购量,针对多个供应商和单一制造商组成的供应链系统构建了基于柔性契约协调机制的多对一供应链协调优化模型,分析了柔性契约协调机制对分散式供应链系统绩效的影响.针对多对一供应链结构中核心制造商有强议价能力的特点,建立了以制造商为主方、供应商为从方的Stackelberg主从对策模型,分别讨论了集中控制和分散控制下的最优决策.在期权契约下核心制造商通过设计合理的契约参数,可以激励上游供应商的决策行为,从而使得分散供应链系统的绩效能够得到提高.仿真实验证明了该柔性契约协调机制的有效性.实验结果表明,在一定的契约参数条件下,制造商不能随意设置其初始采购量,否则可能导致协调失效.

  17. Optimal scan techniques for dynamic gadolinium-enhanced MR imaging of the liver. Usefulness of test injection method and automated bolus tracking technique

    International Nuclear Information System (INIS)

    This study was performed to determine optimal scan techniques and important factors in dynamic gadolinium-enhanced MR imaging of the liver. Comparing the influence of test bolus injection to that of the automatic trigger was done in the same cases. One hundred patients were enrolled in the whole liver dynamic study using a 1.5 T MR system. MR imaging using a power injector was performed in 85 cases, while manual injection was performed in the other 15 cases. Fast spoiled GRASS (FSPGR) or enhanced 3D fast gradient echo (efgre3d) pulse sequence was used for the study. MR SmartPrep, which is a computer assisted bolus tracking technique, was performed in 37 of the 57 cases with efgre3d. Both test bolus and MR SmartPrep were used in 10 of the 57 cases. Hepatic arterial phase images were designated to 3 grades of scan timing. Optimal timing was determined when a faint depiction of portal vein in addition to a description of second branches of the hepatic artery were present. The best timing was found in efgre3d 3 ml/s with a SmartPrep in which the acquisition delay time was 10 s. The mean delay time from the initiation of contrast agent administration to the beginning of arterial phase scanning was 17.0±4.71 s (mean±SD, range 10-29 s). Although similar effects might be achieved when the test injection method is used, it requires complicated steps. These results indicate that we can perform optimal timing for the hepatic arterial phase of dynamic MR imaging. We can also set the delay time for individual cases with the power injector. (author)

  18. An Objective Method to Optimize the MR Sequence Set for Plaque Classification in Carotid Vessel Wall Images Using Automated Image Segmentation

    OpenAIRE

    van ‘t Klooster, Ronald; Patterson, Andrew J.; Young, Victoria E.; Gillard, Jonathan H; Reiber, Johan H.C.; van der Geest, Rob J.

    2013-01-01

    A typical MR imaging protocol to study the status of atherosclerosis in the carotid artery consists of the application of multiple MR sequences. Since scanner time is limited, a balance has to be reached between the duration of the applied MR protocol and the quantity and quality of the resulting images which are needed to assess the disease. In this study an objective method to optimize the MR sequence set for classification of soft plaque in vessel wall images of the carotid artery using au...

  19. Optimal Damping Control Systems Based on Coordination Between Units and Grid%考虑机网协调的阻尼优化控制系统研究

    Institute of Scientific and Technical Information of China (English)

    李淼; 胡伟; 陆秋瑜; 姚浩威; 李小平; 李大虎

    2012-01-01

    随着电力系统规模的不断扩大,小干扰稳定已经成为影响电力系统安全稳定的重要因素之一.为了有效地阻尼电力系统的小扰动振荡,提出了基于机网协调优化的阻尼控制方法.借鉴混成控制系统的思想与理念,考虑自动发电控制和自动电压控制系统之间的协调,建立了分层控制的阻尼协调优化控制系统.该系统将电力系统的阻尼强弱作为事件形成的指标,并以事件驱动作为系统调节的触发机制.该阻尼协调优化控制系统不仅能消除系统的弱阻尼模式,而且有效解决了传统自动发电控制和自动电压控制系统之间相互作用而导致的负面影响,实现了2套自动控制系统的控制指令的优化协调.在IEEE 5机14节点系统上进行多种运行方式下的仿真研究,仿真结果验证了所提方法的正确性和有效性.%With the constant expansion of power systems, small signal stability is one important factor on power system security and stability. In order to effectively damping power system oscillations of small disturbance, this paper presented a damping control system based on coordinated optimization between generator units and power grid. Using hybrid control system ideas and concepts, this paper considered the coordination between automatic generation control (AGC) system and automatic voltage control (AVC) system, and set up a hierarchical coordinated optimal damping control (CODC) system. The CODC system used the power system damping strength as indicators of the formation of the event, and used discrete event-driven as adjustable trigger mechanism. The CODC system can improve the weak damping, and effectively overcome the negative interaction between traditional AGC and AVC system caused by the coupling of active and reactive power. And this system achieves optimized coordination instructions between AGC and AVC. Finally, as an illustration, the proposed method was applied to the IEEE 5-machine

  20. The Center for Optimized Structural Studies (COSS) platform for automation in cloning, expression, and purification of single proteins and protein-protein complexes.

    Science.gov (United States)

    Mlynek, Georg; Lehner, Anita; Neuhold, Jana; Leeb, Sarah; Kostan, Julius; Charnagalov, Alexej; Stolt-Bergner, Peggy; Djinović-Carugo, Kristina; Pinotsis, Nikos

    2014-06-01

    Expression in Escherichia coli represents the simplest and most cost effective means for the production of recombinant proteins. This is a routine task in structural biology and biochemistry where milligrams of the target protein are required in high purity and monodispersity. To achieve these criteria, the user often needs to screen several constructs in different expression and purification conditions in parallel. We describe a pipeline, implemented in the Center for Optimized Structural Studies, that enables the systematic screening of expression and purification conditions for recombinant proteins and relies on a series of logical decisions. We first use bioinformatics tools to design a series of protein fragments, which we clone in parallel, and subsequently screen in small scale for optimal expression and purification conditions. Based on a scoring system that assesses soluble expression, we then select the top ranking targets for large-scale purification. In the establishment of our pipeline, emphasis was put on streamlining the processes such that it can be easily but not necessarily automatized. In a typical run of about 2 weeks, we are able to prepare and perform small-scale expression screens for 20-100 different constructs followed by large-scale purification of at least 4-6 proteins. The major advantage of our approach is its flexibility, which allows for easy adoption, either partially or entirely, by any average hypothesis driven laboratory in a manual or robot-assisted manner. PMID:24647677

  1. Manufacturing and automation

    OpenAIRE

    Ernesto Córdoba Nieto

    2010-01-01

    The article presents concepts and definitions from different sources concerning automation. The work approaches automation by virtue of the author’s experience in manufacturing production; why and how automation prolects are embarked upon is considered. Technological reflection regarding the progressive advances or stages of automation in the production area is stressed. Coriat and Freyssenet’s thoughts about and approaches to the problem of automation and its current state are taken and e...

  2. 基于启发式优化算法的单元协调控制系统整定%Unit Coordinated Control System Tuning Based on Heuristic Optimization Algorithm

    Institute of Scientific and Technical Information of China (English)

    刘吉臻; 谢谢; 曾德良; 闫姝; 刘一民

    2012-01-01

    In order to improve the dynamic performance and robustness of generating unit as load varying within a wide range,this paper proposes the tuning scheme for coordinated control system of boiler-turbine unit based on heuristic Kalman algorithm.The tuning scheme can be treated as a optimization problem that takes regulating performance of load and main steam pressure as optimization goal and robustness as constraint punishment condition.The heuristic Kalman algorithm is used to optimize parameters of control system,and two management regulations of North China Grid are applied to evaluate the performance of coordinated control system.The simulation results show that while load changes in a wide range,with this designed control system the main steam pressure is less volatile,and the good robustness and AGC performance can meet grid needs.%为提高单元机组在大范围变负荷时的动态调节性能与鲁棒性,提出了基于启发式卡尔曼算法的单元机组协调控制系统整定方法。该方法将控制系统的整定归结为一个以负荷与主汽压的调节性能为优化目标、鲁棒性能指标为约束惩罚条件的优化问题,利用启发式卡尔曼算法对控制系统参数寻优,并采用华北电网两个细则评价控制系统性能。仿真结果表明,所设计的控制系统在负荷大范围变化时,主汽压力波动较小,鲁棒性能良好且AGC性能满足当前电网需求。

  3. Methods of Safety Improvements at Coordinated Signals

    OpenAIRE

    Li, Wei; Tarko, Andrew P.

    2008-01-01

    In this research, the safety impact of arterial signal coordination is investigated. Based on the findings, procedures are proposed to incorporate safety considerations into signal coordination design. In addition, a software tool is developed to facilitate the use of the research findings. Signal coordination has been extensively employed as a tool to optimize an arterial system’s mobility performance, commonly measured by the total number of vehicle stops and the time of delays. Although ve...

  4. Automating the multiprocessing environment

    Science.gov (United States)

    Arpasi, Dale J.

    1989-01-01

    An approach to automate the programming and operation of tree-structured networks of multiprocessor systems is discussed. A conceptual, knowledge-based operating environment is presented, and requirements for two major technology elements are identified as follows: (1) An intelligent information translator is proposed for implementating information transfer between dissimilar hardware and software, thereby enabling independent and modular development of future systems and promoting a language-independence of codes and information; (2) A resident system activity manager, which recognizes the systems capabilities and monitors the status of all systems within the environment, is proposed for integrating dissimilar systems into effective parallel processing resources to optimally meet user needs. Finally, key computational capabilities which must be provided before the environment can be realized are identified.

  5. Optimization and studies of the welding processes, automation of the sealing welding system and fracture mechanics in the vessels surveillance in nuclear power plants

    International Nuclear Information System (INIS)

    Inside this work the optimization of two welding systems is described, as well as the conclusion of a system for the qualification of containers sealing in the National Institute of Nuclear Research that have application in the surveillance programs of nuclear reactors vessels and the correspondent extension of the operation license. The test tubes Charpy are assay to evaluate the embrittlement grade, when obtaining the increment in the reference temperature and the decrease of the absorbed maximum energy, in the transition curve fragile-ductile of the material. After the test two test tube halves are obtained that should take advantage to follow the surveillance of the vessel and their possible operation extension, this is achieved by means of rebuilding (being obtained of a tested test tube two reconstituted test tubes). The welding system for the rebuilding of test tubes Charpy, was optimized when diminishing the union force at solder, achieving the elimination of the rejection for penetration lack for spill. For this work temperature measurements were carried out at different distances of the welding interface from 1 up to 12 mm, obtaining temperature profiles. With the maximum temperatures were obtained a graph and equation that represents the maximum temperature regarding the distance of the interface, giving as a result practical the elimination of other temperature measurements. The reconstituted test tubes were introduced inside pressurized containers with helium of ultra high purity to 1 pressure atmosphere. This process was carried out in the welding system for containers sealing, where an automatic process was implemented by means of an application developed in the program LabVIEW, reducing operation times and allowing the remote control of the process, the acquisition parameters as well as the generation of welding reports, avoiding with this the human error. (Author)

  6. Coordinated optimization between regional and provincial grids for regional generation right trade%区域发电权交易网省协调优化模式研究

    Institute of Scientific and Technical Information of China (English)

    于琪; 张晶; 王宣元; 张粒子

    2013-01-01

    提出2种区域发电权交易网省协调优化模式,即网省分层优化模式和区域统一优化模式.介绍了2种协调优化模式的组织形式,定性地分析了模式的特点及适用条件,从经济学的角度,分别在有阻塞约束和无阻塞约束的情况下,对模式的经济机理进行了深入剖析,并对2种模式的市场效率进行了比对.得到结论:有输电约束时,采用区域统一优化模式下的总社会福利大于等于网省分层优化模式下的总社会福利;无输电约束时,采用区域统一优化模式下的总社会福利大于网省分层优化模式下的总社会福利;在区域发电权交易市场建设初期,宜采用网省分层优化模式实现发电权交易从省级市场向区域市场过渡;区域统一优化模式规避了网省协调过程中所造成的效率损失,宜采用区域统一优化模式不断完善区域发电权交易市场.算例分析验证了所得结论的正确性.%Two different modes of coordinated optimization between regional and provincial grids are proposed for the regional generation right trade:layered optimization and integrated optimization. Their organizations are introduced,their features and applicability are qualitatively analyzed,their economic mechanisms are discussed in conditions of both with and without transmission congestion, and their market efficiencies are compared. Following conclusions are achieved;the total welfare of the integrated optimization mode is bigger than or equal to that of the layered optimization mode when there is transmission congestion,while it is bigger when there is no transmission congestion;the layered optimization mode should be adopted in the initial stage of market construction for regional generation right trade for the successful transition from provincial market to regional market;the integrated optimization mode should be used to continuously improve the regional market of generation right trade because it avoids the

  7. Optimizing Installation and Operation Properties of an AUV-Mounted Swath Sonar Sensor for Automated Marine Gas Seep Detection - a Modelling Approach

    Science.gov (United States)

    Wenau, S.; Fei, T.; Tóth, Z.; Keil, H.; Spiess, V.; Kraus, D.

    2014-12-01

    The detection of gas bubble streams in the water column by single- and multibeam sonars has been a common procedure in the research of marine seep sites. In the framework of the development of an AUV capable of automatic detection and sampling of gas bubble streams, such acoustic flares were modelled in MATLAB routines to assess the optimal sonar configuration for flare detection. The AUV development (IMGAM-project) is carried out as a cooperation of the company ATLAS Hydrographic and the MARUM at the University of Bremen. The combination of sensor inclination, sonar carrier frequency and pulse characteristics affect the ability of the system to detect bubble streams of different sizes and intensities. These variations in acoustic signal return from gas bubble streams depending on acquisition parameters can affect the detectability and acoustic properties of recorded acoustic flares in various seepage areas in the world's oceans. We show several examples of acoustic signatures of previously defined bubble streams under varying acquisition parameters and document the effects of changing sensor parameters on detection efficiency.

  8. Laboratory automation in clinical bacteriology: what system to choose?

    Science.gov (United States)

    Croxatto, A; Prod'hom, G; Faverjon, F; Rochais, Y; Greub, G

    2016-03-01

    Automation was introduced many years ago in several diagnostic disciplines such as chemistry, haematology and molecular biology. The first laboratory automation system for clinical bacteriology was released in 2006, and it rapidly proved its value by increasing productivity, allowing a continuous increase in sample volumes despite limited budgets and personnel shortages. Today, two major manufacturers, BD Kiestra and Copan, are commercializing partial or complete laboratory automation systems for bacteriology. The laboratory automation systems are rapidly evolving to provide improved hardware and software solutions to optimize laboratory efficiency. However, the complex parameters of the laboratory and automation systems must be considered to determine the best system for each given laboratory. We address several topics on laboratory automation that may help clinical bacteriologists to understand the particularities and operative modalities of the different systems. We present (a) a comparison of the engineering and technical features of the various elements composing the two different automated systems currently available, (b) the system workflows of partial and complete laboratory automation, which define the basis for laboratory reorganization required to optimize system efficiency, (c) the concept of digital imaging and telebacteriology, (d) the connectivity of laboratory automation to the laboratory information system, (e) the general advantages and disadvantages as well as the expected impacts provided by laboratory automation and (f) the laboratory data required to conduct a workflow assessment to determine the best configuration of an automated system for the laboratory activities and specificities. PMID:26806135

  9. Manufacturing and automation

    Directory of Open Access Journals (Sweden)

    Ernesto Córdoba Nieto

    2010-04-01

    Full Text Available The article presents concepts and definitions from different sources concerning automation. The work approaches automation by virtue of the author’s experience in manufacturing production; why and how automation prolects are embarked upon is considered. Technological reflection regarding the progressive advances or stages of automation in the production area is stressed. Coriat and Freyssenet’s thoughts about and approaches to the problem of automation and its current state are taken and examined, especially that referring to the problem’s relationship with reconciling the level of automation with the flexibility and productivity demanded by competitive, worldwide manufacturing.

  10. EPOS for Coordination of Asynchronous Sensor Webs Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Develop, integrate, and deploy software-based tools to coordinate asynchronous, distributed missions and optimize observation planning spanning simultaneous...

  11. Predictive optimal control for coordinated system of a supercritical power unit%超临界机组协调控制系统的预测优化控制

    Institute of Scientific and Technical Information of China (English)

    马良玉; 高志元

    2014-01-01

    为适应电网负荷需求,超临界机组常处于大幅度变工况运行状态,从而使得传统协调控制策略不能很好地适应机网协调运行的要求,影响机组的负荷响应速度,造成主蒸汽压力等参数大幅波动。对此,提出了一种基于神经网络和粒子群(PSO)算法的协调预测优化控制方法,并以某超临界600 MW机组为对象,基于Matlab 软件建立模型预测优化控制(MPOC)算法,借助火电机组仿真机对该控制方法进行验证。结果表明,该方法可大大提高机组的负荷响应速度,且满足主蒸汽压力等参数的控制要求。%In order to meet the requirements of power grid,a supercritical power generating unit often oper-ates under wide-range load-changing conditions.The conventional coordinated control strategy can not well adapt to the load deep regulation situations,and often leads to slow load response and large main steam pressure fluctuations.Therefore,a model predictive optimal control (MPOC)method for coordinated con-trol of the supercritical units was proposed,on the basis of neural network model and particle swarm opti-mization (PSO)algorithm.The proposed MPOC scheme was programmed with MATLAB software and tested by extensive control simulation experiments in the full-scope simulator of a 600 MW supercritical power generating unit.The simulation results show that the proposed MPOC method can improve the load dynamic response speed greatly and keep main steam pressure within safety limits.

  12. Application of TRIZ Theory in Optimal Design for Automated Guided Vehicle%TRIZ理论在自行小车优化设计中的应用

    Institute of Scientific and Technical Information of China (English)

    彭开元; 叶际隆; 方春平; 于源

    2014-01-01

    TRIZ theory ( Theory of Inventive Problem Solving) is used to provide the methods of solving the problem and the direc-tion of structural innovation for the product design. Based on analyzing the characteristic of the automatic guide vehicle,and accord-ing to the contradiction matrix and invention principles, the optimal design strategies are proposed to impove its moving stability, turn-ing reliability and instal ation precision of the gears and reduce its energy-consumption. On the other hand, the material-field model-ing is introduced in this paper, it is used to improve the precision of its guide wheel.%TRIZ理论(发明问题解决理论)为产品设计提供了解决问题的方法和结构创新的方向。为解决自行小车设计过程中稳定性不高、转弯过程中可靠性差,能量损失较大,及齿轮难以精确定位等问题,在分析自行小车结构特点的基础上,应用矛盾矩阵、发明原理,对自行小车行驶稳定性、转弯可靠性以及齿轮精确定位等问题提出优化设计方案;引入物-场模型提高自行小车导向轮的导向精度。

  13. Human-Centered Aviation Automation: Principles and Guidelines

    Science.gov (United States)

    Billings, Charles E.

    1996-01-01

    This document presents principles and guidelines for human-centered automation in aircraft and in the aviation system. Drawing upon operational experience with highly automated aircraft, it describes classes of problems that have occurred in these vehicles, the effects of advanced automation on the human operators of the aviation system, and ways in which these problems may be avoided in the design of future aircraft and air traffic management automation. Many incidents and a few serious accidents suggest that these problems are related to automation complexity, autonomy, coupling, and opacity, or inadequate feedback to operators. An automation philosophy that emphasizes improved communication, coordination and cooperation between the human and machine elements of this complex, distributed system is required to improve the safety and efficiency of aviation operations in the future.

  14. Automation Framework for Flight Dynamics Products Generation

    Science.gov (United States)

    Wiegand, Robert E.; Esposito, Timothy C.; Watson, John S.; Jun, Linda; Shoan, Wendy; Matusow, Carla

    2010-01-01

    XFDS provides an easily adaptable automation platform. To date it has been used to support flight dynamics operations. It coordinates the execution of other applications such as Satellite TookKit, FreeFlyer, MATLAB, and Perl code. It provides a mechanism for passing messages among a collection of XFDS processes, and allows sending and receiving of GMSEC messages. A unified and consistent graphical user interface (GUI) is used for the various tools. Its automation configuration is stored in text files, and can be edited either directly or using the GUI.

  15. Ship block construction plan coordination and optimization based on PERT and CPM%基于PERT与CPM的船舶分段建造计划协调与优化

    Institute of Scientific and Technical Information of China (English)

    张光发; 刘玉君; 纪卓尚; 杨海天

    2011-01-01

    Ship block construction process under modern lean shipbuilding mode and the method of planning shipbuilding in our country are analyzed and summarized. Combining PERT with CPM, the ship block construction plan is created, and the building plan is coordinated and optimized in duration and cost. An applied program using VBA based on MS-Project software is developed to implement the method. As an instance, the block construction planning of a tanker in a Dalian shipyard is programmed and optimized. The calculated instance and results show that the approach is feasible and practical to make ship block construction plan in the early days of shipbuilding.%分析了现代精益造船模式下要求的船舶分段建造流程以及国内船厂生产计划的制定方式,利用计划评审技术(PERT),结合关键路径法(CPM),自动生成船舶分段产品建造计划,并在工期和成本方面对建造计划进行了协调与优化.基于MS-Project软件,用VBA编制了实用程序,并以大连某船厂建造的某油船为实例进行了计划编排与优化.与生产实际对比表明,该计划方法是可行的,为船舶建造初期制定生产计划提供了一种实用简便的方法.

  16. An automated swimming respirometer

    DEFF Research Database (Denmark)

    STEFFENSEN, JF; JOHANSEN, K; BUSHNELL, PG

    1984-01-01

    An automated respirometer is described that can be used for computerized respirometry of trout and sharks.......An automated respirometer is described that can be used for computerized respirometry of trout and sharks....

  17. Configuration Management Automation (CMA)

    Data.gov (United States)

    Department of Transportation — Configuration Management Automation (CMA) will provide an automated, integrated enterprise solution to support CM of FAA NAS and Non-NAS assets and investments. CMA...

  18. Programmed device for coordinate measuring mechanisms

    International Nuclear Information System (INIS)

    The programmed device providing the automatic measurement of the coordinate of a continuously travelling carriage with stepwise control of the pitch and measurement range in wide limits is described. The matching of measured points at the direct and return travels of the carriage is within 50 mcm. The device was developed to automize the measurement of charged particles tracks by means of floating-wire method. It may be also used in different recorders

  19. Towards reduction of Paradigm coordination models

    OpenAIRE

    Andova, S.; Groenewegen, L. P. J.; Vink, de, E.P.; Aceto, Luca; Mousavi, M.R.

    2011-01-01

    The coordination modelling language Paradigm addresses collaboration between components in terms of dynamic constraints. Within a Paradigm model, component dynamics are consistently specified at a detailed and a global level of abstraction. To enable automated verification of Paradigm models, a translation of Paradigm into process algebra has been defined in previous work. In this paper we investigate, guided by a client-server example, reduction of Paradigm models based on a notion of global...

  20. Workflow automation architecture standard

    Energy Technology Data Exchange (ETDEWEB)

    Moshofsky, R.P.; Rohen, W.T. [Boeing Computer Services Co., Richland, WA (United States)

    1994-11-14

    This document presents an architectural standard for application of workflow automation technology. The standard includes a functional architecture, process for developing an automated workflow system for a work group, functional and collateral specifications for workflow automation, and results of a proof of concept prototype.

  1. Tools for Coordinating Planning Between Observatories

    Science.gov (United States)

    Jones, J.; Maks, L.; Fishman, M.; Grella, V.; Kerbel, U.; Misra, D.; Pell, V.

    With the realization of NASA's era of great observatories, there are now more than three space-based telescopes operating in different wave bands. This situation provides astronomers with a unique opportunity to simultaneously observe with multiple observatories. Yet scheduling multiple observatories simultaneously is highly inefficient when compared to observations using only a single observatory. Thus, programs using multiple observatories are limited not by scientific restrictions, but by operational inefficiencies. At present, multi-observatory programs are initiated by submitting observing proposals separately to each concerned observatory. To assure that the proposed observations can be scheduled, each observatory's staff has to check that the observations are valid and meet all constraints for their own observatory; in addition, they have to verify that the observations satisfy the constraints of the other observatories. Thus, coordinated observations require painstaking manual collaboration among staffs at each observatory. Due to the lack of automated tools for coordinated observations, this process is time consuming and error-prone, and the outcome of requests is not certain until the very end. To increase multi-observatory operations efficiency, such resource intensive processes need to be re-engineered. To overcome this critical deficiency, Goddard Space Flight Center's Advanced Architectures and Automation Branch is developing a prototype called the Visual Observation Layout Tool (VOLT). The main objective of VOLT is to provide visual tools to help automate the planning of coordinated observations by multiple astronomical observatories, as well as to increase the probability of scheduling all observations.

  2. Limitations of Radar Coordinates

    OpenAIRE

    Bini, Donato; Lusanna, Luca; Mashhoon, Bahram

    2004-01-01

    The construction of a radar coordinate system about the world line of an observer is discussed. Radar coordinates for a hyperbolic observer as well as a uniformly rotating observer are described in detail. The utility of the notion of radar distance and the admissibility of radar coordinates are investigated. Our results provide a critical assessment of the physical significance of radar coordinates.

  3. Advanced type placement and geonames database: comprehensive coordination plan

    Energy Technology Data Exchange (ETDEWEB)

    Barnes, A.E.; Gough, E.C.; Brown, R.M.; Zied, A.

    1983-01-01

    This paper presents a preliminary comprehensive coordination plan for the technical development and integration of an automated names database capture and management of an overall automated cartographic system, for the Defense Mapping Agency. It broadly covers the technical issues associated with system and associated subsystems functional requirements, inter-subsystem interaction common technologies in hardware, software, database, and artificial intelligence. The 3-phase RandD cycles for each and all subsystems are also outlined.

  4. Control coordination abilities in shock combat sports

    Directory of Open Access Journals (Sweden)

    Natalya Boychenko

    2014-12-01

    Full Text Available Purpose: optimize the process control level of coordination abilities in martial arts. Material and Methods: analysis and compilation of scientific and methodological literature, interviews with coaches of drum martial arts, video analysis techniques, teacher observations. Results: identified specific types of coordination abilities in shock combat sports. Pod branny and offered specific and nonspecific tests to monitor the level of species athletes coordination abilities. Conclusion: it is determined that in order to achieve victory in the fight martial artists to navigate the space to be able to assess and manage dynamic and spatio-temporal parameters of movements, maintain balance, have a high coordination of movements. The proposed tests to monitor species coordination abilities athletes allow an objective assessment of not only the overall level of coordination, and the level of specific types of manifestations of this ability.

  5. Reaction Coordinates and Mechanistic Hypothesis Tests.

    Science.gov (United States)

    Peters, Baron

    2016-05-27

    Reaction coordinates are integral to several classic rate theories that can (a) predict kinetic trends across conditions and homologous reactions, (b) extract activation parameters with a clear physical interpretation from experimental rates, and (c) enable efficient calculations of free energy barriers and rates. New trajectory-based rare events methods can provide rates directly from dynamical trajectories without a reaction coordinate. Trajectory-based frameworks can also generate ideal (but abstract) reaction coordinates such as committors and eigenfunctions of the master equation. However, rates and mechanistic insights obtained from trajectory-based methods and abstract coordinates are not readily generalized across simulation conditions or reaction families. We discuss methods for identifying physically meaningful reaction coordinates, including committor analysis, variational transition state theory, Kramers-Langer-Berezhkovskii-Szabo theory, and statistical inference methods that can use path sampling data to screen, mix, and optimize thousands of trial coordinates. Special focus is given to likelihood maximization and inertial likelihood maximization approaches. PMID:27090846

  6. A Multi-pattern Coordinated Optimization Strategy of Wind Power and Energy Storage System Considering Temporal Dependence%考虑时间相关性的风储系统多模式协调优化策略

    Institute of Scientific and Technical Information of China (English)

    陆秋瑜; 胡伟; 闵勇; 王芝茗; 罗卫华; 成涛

    2015-01-01

    Based on the uncertainty scenarios considering temporal dependence of wind power prediction errors,the energy storage system is applied in both energy shifting pattern and plan following pattern.A multi-pattern coordinated optimization model for the wind power and energy storage combined system is proposed.Meanwhile,in view of the large-scale mixed-integer programming problem in the combined operation of wind power and energy storage system,the shifting ratio of energy storage capacity is proposed to develop the bi-level iterative optimization algorithm for fast sloving the model.The shifting ratio of energy storage capacity is further applied to quantitatively evaluate the capacity allocation.The results of the simulation based on actual data show that the optimal operation pattern of the wind power and energy storage system is influenced by factors including the selling price,penalty price and stochastic characteristics of wind power.And the model proposed is able to realize rational allocation and highly efficient utilization of the limited energy storage among different scenarios,providing important information for research on wind power and energy storage combined system operation and coordinated dispatch with power grids.%基于考虑风电预测误差时间相关性的不确定性场景,将能量型储能同时应用于削峰填谷和计划跟踪两种模式,提出了风储联合系统多模式协调优化模型。同时,针对风储联合运行的大规模混合整数规划问题,提出储能调峰容量系数的概念,用于构造两层迭代优化算法,对模型进行快速求解,并可对储能在不同模式的容量分配进行量化评估。基于实际数据进行了计算机仿真验证,仿真结果表明,风储联合系统的最优运行模式受上网电价、惩罚价格以及风电随机特性等因素的影响;而所提出的模型可实现储能有限容量在不同模式间的合理分配和高效利

  7. Wind Farm Coordinated Control for Power Optimization

    Institute of Scientific and Technical Information of China (English)

    SHU Jin; HAO Zhiguo; ZHANG Baohui; BO Zhiqian

    2011-01-01

    The total wind energy capture would decrease with the aerodynamic interaction among turbines known as wake effect, and the conventional maximum power point track (MPPT) schemes for individual wind turbine generator (WTG) can not maximize the total farm power.

  8. Image segmentation for automated dental identification

    Science.gov (United States)

    Haj Said, Eyad; Nassar, Diaa Eldin M.; Ammar, Hany H.

    2006-02-01

    Dental features are one of few biometric identifiers that qualify for postmortem identification; therefore, creation of an Automated Dental Identification System (ADIS) with goals and objectives similar to the Automated Fingerprint Identification System (AFIS) has received increased attention. As a part of ADIS, teeth segmentation from dental radiographs films is an essential step in the identification process. In this paper, we introduce a fully automated approach for teeth segmentation with goal to extract at least one tooth from the dental radiograph film. We evaluate our approach based on theoretical and empirical basis, and we compare its performance with the performance of other approaches introduced in the literature. The results show that our approach exhibits the lowest failure rate and the highest optimality among all full automated approaches introduced in the literature.

  9. Shoe-String Automation

    Energy Technology Data Exchange (ETDEWEB)

    Duncan, M.L.

    2001-07-30

    Faced with a downsizing organization, serious budget reductions and retirement of key metrology personnel, maintaining capabilities to provide necessary services to our customers was becoming increasingly difficult. It appeared that the only solution was to automate some of our more personnel-intensive processes; however, it was crucial that the most personnel-intensive candidate process be automated, at the lowest price possible and with the lowest risk of failure. This discussion relates factors in the selection of the Standard Leak Calibration System for automation, the methods of automation used to provide the lowest-cost solution and the benefits realized as a result of the automation.

  10. Coordination control of distributed systems

    CERN Document Server

    Villa, Tiziano

    2015-01-01

    This book describes how control of distributed systems can be advanced by an integration of control, communication, and computation. The global control objectives are met by judicious combinations of local and nonlocal observations taking advantage of various forms of communication exchanges between distributed controllers. Control architectures are considered according to  increasing degrees of cooperation of local controllers:  fully distributed or decentralized control,  control with communication between controllers,  coordination control, and multilevel control.  The book covers also topics bridging computer science, communication, and control, like communication for control of networks, average consensus for distributed systems, and modeling and verification of discrete and of hybrid systems. Examples and case studies are introduced in the first part of the text and developed throughout the book. They include: control of underwater vehicles, automated-guided vehicles on a container terminal, contro...

  11. Coordinating Networks of Robotic Observatories

    Science.gov (United States)

    Mason, C. L.

    1993-12-01

    This abstract describes our project on scheduling for networks of remote robotic telescopes. The project is being developed as part of our larger goal to build automated tools to address the complete life-cycle of an observation request, from electronic transmission of the observation request to the return of raw and reduced data, using the Automatic Telescope Instruction Set, or ATIS. With distributed artificial intelligence (DAI) software techniques, we have designed a network scheduling system as a collection of distributed, cooperating scheduling agents. Each agent is responsible for the scheduling of observation requests for one robotic telescope. This perspective allows the network scheduling system to preserve the individualized priorities and policies that may exist for any one telescope while promoting the collaborative behavior required for acquiring and providing telescope time in a network. We are interested in heterogeneous networks that are made by connecting pre-existing fully automated remote telescopes. Providers of telescopes are anyone with a fully automated telescope and telecommunication capabilities. In essence, the network system is created by interconnecting multiple stand-alone systems. The scheduling software for each stand-alone system (or agent) is based on two primary components: an advanced scheduling system, CERES, that employs look-ahead contingent scheduling methods, and a collaborator, that communicates with other agents in the network, both written in C and Lisp. Cooperation among agents is based on the premise that astronomers at one telescope are often willing to trade for time on another telescope. In general, agents are autonomous but may react cooperatively to observational requests communicated by other scheduling agents. Our work involves engineering the protocols for cooperation, and the development of a programming language and agent architecture to express such protocols. The system is being constructed with the help of

  12. Embedding Temporal Constraints For Coordinated Execution in Habitat Automation

    Science.gov (United States)

    Morris, Paul; Schwabacher, Mark; Dalal, Michael; Fry, Charles

    2013-01-01

    Future NASA plans call for long-duration deep space missions with human crews. Because of light-time delay and other considerations, increased autonomy will be needed. This will necessitate integration of tools in such areas as anomaly detection, diagnosis, planning, and execution. In this paper we investigate an approach that integrates planning and execution by embedding planner-derived temporal constraints in an execution procedure. To avoid the need for propagation, we convert the temporal constraints to dispatchable form. We handle some uncertainty in the durations without it affecting the execution; larger variations may cause activities to be skipped.

  13. Embedding Temporal Constraints for Coordinated Execution in Habitat Automation

    Data.gov (United States)

    National Aeronautics and Space Administration — Future NASA plans call for long-duration deep space missions with human crews. Because of light-time delay and other considerations, increased autonomy will be...

  14. Automated support for rapid coordination of joint UUV operation

    OpenAIRE

    Johns, Seneca R.

    2015-01-01

    Approved for public release; distribution is unlimited Recently, marine services company Phoenix International headed the search efforts for Malaysian Airlines flight 370 using its Bluefin-21 autonomous unmanned underwater vehicle (UUV). In total, it conducted 270 hours of in-water time and covered approximately 250 square miles of ocean floor. Deploying multiple UUVs simultaneously would have increased the coverage area substantially within the same time period. Ideally, a coalition of co...

  15. 能源互联网动态协调优化控制体系构建%Construction of Dynamic Coordinated Optimization Control System for Energy Internet

    Institute of Scientific and Technical Information of China (English)

    孙秋野; 滕菲; 张化光; 马大中

    2015-01-01

    能源互联网是多种能源网络与信息互联网高度耦合的产物。针对如何充分地利用能源互联网的共享信息,对能源互联网中多种能源进行合理规划利用的问题,提出一种能源互联网协调优化控制策略以实现分布式可再生能源的高效利用。通过对一次能源侧的一次能源进行调度优化,实现分布式可再生能源的大规模利用和共享,最小化一次能源侧能源消耗,降低供能成本,提高供能可靠性,对供电网络、供热网络等多种主能源网络起到强有力的支撑作用。为快速、有效地平抑用户侧负荷波动,维持网络稳定性,提出一种基于动态多智能体系统的动态负荷需求响应团队机制。采用多智能体包含控制算法进行能源互联网内电能的电压控制,保证输出电能的高质量。%Energy internet is a kind of novel interconnected multi-energy-grids, highly coupled with the information internet. To utilize the distributed renewable energies in the energy internet reasonably, a coordinated optimization control strategy was proposed, based on the shared information internet. Firstly, the large-scale use and share of distributed renewable energies could be achieved by scheduling and optimizing primary energies. Meanwhile, the primary energy consumption could be minimized, the energy supply costs could be reduced, and the reliability of energy supply could be improved, while the energy internet provided strong supports for the power system, the heating system and other main energy grids. Then a dynamic load demand response team mechanism, based on a dynamic multi-agent system, was established to eliminate load fluctuation quickly and efficiently, maintaining the stability of the energy internet. Finally, multi-agent containment control algorithm was applied in the voltage control to guarantee high power quality.

  16. Hybrid Architecture for Coordination of AGVs in FMS

    OpenAIRE

    Eduardo G. Hernandez-Martinez; Foyo-Valdes, Sergio A.; Puga-Velazquez, Erika S.; Jesús A. Meda-Campaña

    2014-01-01

    This paper presents a hybrid control architecture that coordinates the motion of groups of automated guided vehicles in flexible manufacturing systems. The high-level control is based on a Petri net model, using the industrial standard ISA-95, obtaining a task-based coordination of equipment and storage considering process restrictions, logical precedences, shared resources and the assignment of robots to move workpieces individually or in subgroups. On the other hand, in the low-level contro...

  17. A sensor-based automation system for handling nuclear materials

    International Nuclear Information System (INIS)

    An automated system is being developed for handling large payloads of radioactive nuclear materials in an analytical laboratory. The automation system performs unpacking and repacking of payloads from shipping and storage containers, and delivery of the payloads to the stations in the laboratory. The system uses machine vision and force/torque sensing to provide sensor-based control of the automation system in order to enhance system safety, flexibility, and robustness, and achieve easy remote operation. The automation system also controls the operation of the laboratory measurement systems and the coordination of them with the robotic system. Particular attention has been given to system design features and analytical methods that provide an enhanced level of operational safety. Independent mechanical gripper interlock and tool release mechanisms were designed to prevent payload mishandling. An extensive Failure Modes and Effects Analysis of the automation system was developed as a safety design analysis tool

  18. Automated stopcock actuator

    OpenAIRE

    Vandehey, N. T.; O'Neil, J.P.

    2015-01-01

    Introduction We have developed a low-cost stopcock valve actuator for radiochemistry automation built using a stepper motor and an Arduino, an open-source single-board microcontroller. The con-troller hardware can be programmed to run by serial communication or via two 5–24 V digital lines for simple integration into any automation control system. This valve actuator allows for automated use of a single, disposable stopcock, providing a number of advantages over stopcock manifold systems ...

  19. The Adaptive Automation Design

    OpenAIRE

    Calefato, Caterina; Montanari, Roberto; TESAURI, Francesco

    2008-01-01

    After considering the positive effects of adaptive automation implementation, this chapter focuses on two partly overlapping phenomena: on the one hand, the role of trust in automation is considered, particularly as to the effects of overtrust and mistrust in automation's reliability; on the other hand, long-term lack of exercise on specific operation may lead users to skill deterioration. As a future work, it will be interesting and challenging to explore the conjunction of adaptive automati...

  20. Service functional test automation

    OpenAIRE

    Hillah, Lom Messan; Maesano, Ariele-Paolo; Rosa, Fabio; Maesano, Libero; Lettere, Marco; Fontanelli, Riccardo

    2015-01-01

    This paper presents the automation of the functional test of services (black-box testing) and services architectures (grey-box testing) that has been developed by the MIDAS project and is accessible on the MIDAS SaaS. In particular, the paper illustrates the solutions of tough functional test automation problems such as: (i) the configuration of the automated test execution system against large and complex services architectures, (ii) the constraint-based test input generation, (iii) the spec...

  1. Decentralized Coordination of Autonomous Vehicles at intersections

    OpenAIRE

    Makarem, Laleh; Gillet, Denis

    2011-01-01

    In this paper, the decentralized coordination of point-mass autonomous vehicles at intersections using navigation functions is considered. As main contribution, the inertia of the vehicles is taken into account to enable on-board energy optimization for crossing. In such a way, heavier vehicles that need more energy and time for acceleration or breaking are given an indirect priority at intersections. The proposed decentralized coordination scheme of autonomous vehicles at intersection is com...

  2. Coordination and Cooperation

    OpenAIRE

    Janssen, Maarten

    2003-01-01

    textabstractThis comment makes four related points. First, explaining coordination is different from explaining cooperation. Second, solving the coordination problem is more important for the theory of games than solving the cooperation problem. Third, a version of the Principle of Coordination can be rationalized on individualistic grounds. Finally, psychological game theory should consider how players perceive their gaming situation. ---------------------------------------------------------...

  3. A Coordination Theory

    OpenAIRE

    J. Foss, Nicolai

    2009-01-01

    Important aspects of leadership behavior can be rendered intelligible through a focus on coordination games. The concept of common knowledge is shown to be particularly important to understanding leadership. Thus, leaders may establish common knowledge conditions and assist the coordination of strategies in this way, or make decisions in situations where coordination problems persist in spite of common knowledge.

  4. Quantifying linguistic coordination

    DEFF Research Database (Denmark)

    Fusaroli, Riccardo; Tylén, Kristian

    task (Bahrami et al 2010, Fusaroli et al. 2012) we extend to linguistic coordination dynamical measures of recurrence employed in the analysis of sensorimotor coordination (such as heart-rate (Konvalinka et al 2011), postural sway (Shockley 2005) and eye-movements (Dale, Richardson and Kirkham 2012...... linguistic coordination and their effects at a fine-degree....

  5. Automated Weather Observing System

    Data.gov (United States)

    Department of Transportation — The Automated Weather Observing System (AWOS) is a suite of sensors, which measure, collect, and disseminate weather data to help meteorologists, pilots, and flight...

  6. Laboratory Automation and Middleware.

    Science.gov (United States)

    Riben, Michael

    2015-06-01

    The practice of surgical pathology is under constant pressure to deliver the highest quality of service, reduce errors, increase throughput, and decrease turnaround time while at the same time dealing with an aging workforce, increasing financial constraints, and economic uncertainty. Although not able to implement total laboratory automation, great progress continues to be made in workstation automation in all areas of the pathology laboratory. This report highlights the benefits and challenges of pathology automation, reviews middleware and its use to facilitate automation, and reviews the progress so far in the anatomic pathology laboratory. PMID:26065792

  7. Automated cloning methods.; TOPICAL

    International Nuclear Information System (INIS)

    Argonne has developed a series of automated protocols to generate bacterial expression clones by using a robotic system designed to be used in procedures associated with molecular biology. The system provides plate storage, temperature control from 4 to 37 C at various locations, and Biomek and Multimek pipetting stations. The automated system consists of a robot that transports sources from the active station on the automation system. Protocols for the automated generation of bacterial expression clones can be grouped into three categories (Figure 1). Fragment generation protocols are initiated on day one of the expression cloning procedure and encompass those protocols involved in generating purified coding region (PCR)

  8. Automated diagnostics scoping study. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Quadrel, R.W.; Lash, T.A.

    1994-06-01

    The objective of the Automated Diagnostics Scoping Study was to investigate the needs for diagnostics in building operation and to examine some of the current technologies in automated diagnostics that can address these needs. The study was conducted in two parts. In the needs analysis, the authors interviewed facility managers and engineers at five building sites. In the technology survey, they collected published information on automated diagnostic technologies in commercial and military applications as well as on technologies currently under research. The following describe key areas that the authors identify for the research, development, and deployment of automated diagnostic technologies: tools and techniques to aid diagnosis during building commissioning, especially those that address issues arising from integrating building systems and diagnosing multiple simultaneous faults; technologies to aid diagnosis for systems and components that are unmonitored or unalarmed; automated capabilities to assist cause-and-effect exploration during diagnosis; inexpensive, reliable sensors, especially those that expand the current range of sensory input; technologies that aid predictive diagnosis through trend analysis; integration of simulation and optimization tools with building automation systems to optimize control strategies and energy performance; integration of diagnostic, control, and preventive maintenance technologies. By relating existing technologies to perceived and actual needs, the authors reached some conclusions about the opportunities for automated diagnostics in building operation. Some of a building operator`s needs can be satisfied by off-the-shelf hardware and software. Other needs are not so easily satisfied, suggesting directions for future research. Their conclusions and suggestions are offered in the final section of this study.

  9. Bayesian Safety Risk Modeling of Human-Flightdeck Automation Interaction

    Science.gov (United States)

    Ancel, Ersin; Shih, Ann T.

    2015-01-01

    Usage of automatic systems in airliners has increased fuel efficiency, added extra capabilities, enhanced safety and reliability, as well as provide improved passenger comfort since its introduction in the late 80's. However, original automation benefits, including reduced flight crew workload, human errors or training requirements, were not achieved as originally expected. Instead, automation introduced new failure modes, redistributed, and sometimes increased workload, brought in new cognitive and attention demands, and increased training requirements. Modern airliners have numerous flight modes, providing more flexibility (and inherently more complexity) to the flight crew. However, the price to pay for the increased flexibility is the need for increased mode awareness, as well as the need to supervise, understand, and predict automated system behavior. Also, over-reliance on automation is linked to manual flight skill degradation and complacency in commercial pilots. As a result, recent accidents involving human errors are often caused by the interactions between humans and the automated systems (e.g., the breakdown in man-machine coordination), deteriorated manual flying skills, and/or loss of situational awareness due to heavy dependence on automated systems. This paper describes the development of the increased complexity and reliance on automation baseline model, named FLAP for FLightdeck Automation Problems. The model development process starts with a comprehensive literature review followed by the construction of a framework comprised of high-level causal factors leading to an automation-related flight anomaly. The framework was then converted into a Bayesian Belief Network (BBN) using the Hugin Software v7.8. The effects of automation on flight crew are incorporated into the model, including flight skill degradation, increased cognitive demand and training requirements along with their interactions. Besides flight crew deficiencies, automation system

  10. Automation of BESSY scanning tables

    International Nuclear Information System (INIS)

    A micro processor M6800 is used for the automation of scanning and premeasuring BESSY tables. The tasks achieved by the micro processor are: 1. control of spooling of the four asynchronous film winding devices and switching on and off the 4 projections lamps, 2. pre-processing of the data coming from a bi-polar coordinates measuring device, 3. bi-directional interchange of informations between the operator, the BESSY table and the DEC PDP 11/34 mini computer controling the scanning operations, 4. control of the magnification on the table by swapping the projection lenses of appropriate focal lengths and the associated light boxes (under development). In connection with point 4, study is being made for the use of BESSY tables for accurate measurements (+/-5 microns), by encoding the displacements of the projections lenses. (orig.)

  11. Optimal Vehicle Path Generator Using Optimization Methods

    OpenAIRE

    Ramanata, Peeroon Pete

    1998-01-01

    This research explores the idea of developing an optimal path generator that can be used in conjunction with a feedback steering controller to automate track testing experiment. This study specifically concentrates on applying optimization concepts to generate paths that meet two separate objective functions; minimum time and maximum tire forces. A three-degree-of freedom vehicle model is used to approximate the handling dynamics of the vehicle. ...

  12. Autonomous Vehicle Coordination with Wireless Sensor and Actuator Networks

    NARCIS (Netherlands)

    Marin-Perianu, Mihai; Bosch, Stephan; Marin-Perianu, Raluca; Scholten, Hans; Havinga, Paul

    2010-01-01

    A coordinated team of mobile wireless sensor and actuator nodes can bring numerous benefits for various applications in the field of cooperative surveillance, mapping unknown areas, disaster management, automated highway and space exploration. This article explores the idea of mobile nodes using veh

  13. Adventures in Coordinate Space

    Science.gov (United States)

    Chambers, J. E.

    2003-08-01

    A variety of coordinate systems have been used to study the N-body problem for cases involving a dominant central mass. These include the traditional Keplerian orbital elements and the canonical Delaunay variables, which both incorporate conserved quantities of the two-body problem. Recently, Cartesian coordinate systems have returned to favour with the rise of mixed-variable symplectic integrators, since these coordinates prove to be more efficient than using orbital elements. Three sets of canonical Cartesian coordinates are well known, each with its own advantages and disadvantages. Inertial coordinates (which include barycentric coordinates as a special case) are the simplest and easiest to implement. However, they suffer from the disadvantage that the motion of the central body must be calculated explicitly, leading to relatively large errors in general. Jacobi coordinates overcome this problem by replacing the coordinates and momenta of the central body with those of the system as a whole, so that momentum is conserved exactly. This leads to substantial improvements in accuracy, but has the disadvantage that every object is treated differently, and interactions between each pair of bodies are now expressed in a complicated manner involving the coordinates of many bodies. Canonical heliocentric coordinates (also known as democratic heliocentric coordinates) treat all bodies equally, and conserve the centre of mass motion, but at the cost of introducing momentum cross terms into the kinetic energy. This complicates the development of higher order symplectic integrators and symplectic correctors, as well as the development of methods used to resolve close encounters with the central body. Here I will re-examine the set of possible canonical Cartesian coordinate systems to determine if it is possible to (a) conserve the centre of mass motion, (b) treat all bodies equally, and (c) eliminate the momentum cross terms. I will demonstrate that this is indeed possible

  14. Library Automation Style Guide.

    Science.gov (United States)

    Gaylord Bros., Liverpool, NY.

    This library automation style guide lists specific terms and names often used in the library automation industry. The terms and/or acronyms are listed alphabetically and each is followed by a brief definition. The guide refers to the "Chicago Manual of Style" for general rules, and a notes section is included for the convenience of individual…

  15. Automation in Warehouse Development

    NARCIS (Netherlands)

    Hamberg, R.; Verriet, J.

    2012-01-01

    The warehouses of the future will come in a variety of forms, but with a few common ingredients. Firstly, human operational handling of items in warehouses is increasingly being replaced by automated item handling. Extended warehouse automation counteracts the scarcity of human operators and support

  16. Automate functional testing

    Directory of Open Access Journals (Sweden)

    Ramesh Kalindri

    2014-06-01

    Full Text Available Currently, software engineers are increasingly turning to the option of automating functional tests, but not always have successful in this endeavor. Reasons range from low planning until over cost in the process. Some principles that can guide teams in automating these tests are described in this article.

  17. Torque coordinating optimal control for dry dual clutch transmission in shifting process%干式双离合器变速器换挡过程的转矩协调最优控制

    Institute of Scientific and Technical Information of China (English)

    赵治国; 王琪; 陈海军; 刁威振

    2013-01-01

    A torque coordinating optimalcontrol strategy was developed using different driving intentions in different shifting process phases for a six-speed Dry Dual-Clutch-Transmission (DDCT) of a self-developed car. A simulation model was set up on the Matlab/Simulink software platform and then used to simulate the control strategy for DDCT shifting process. The sub-divided phases included the quadratic optimal control adopted in torque phase;the ignition parameters and fuel supply controlin inertia phase;the control factor mapping method, which relfects driving intension, both in micro-slipping phase and in demanded torque switching phase. The results show that shift jerks are within-2 m/s3 while the total frictional energy losses are within 2 kJ in shift process. Therefore, this control strategy relfects driving intentions and meets the demand of shift quality.%对于某一自主开发汽车的六速干式双离合器变速器(DDCT),提出了对不同驾驶意图、分阶段采取不同措施的转矩协调最优控制策略:在转矩相阶段,运用二次型最优控制确定了离合器转矩变化率;在惯性相阶段,采用发动机点火参数与燃油供给调节控制以缩短惯性相时间;在微滑摩阶段及需求转矩切换阶段,建立了体现驾驶意图的控制因子映射。并在Matlab/Simulink软件平台上,搭建了DDCT换挡过程模型,进行仿真试验。结果表明:换挡过程中的换挡冲击在-2 m/s3以内,产生的总滑摩功在2 kJ以内;因而,该控制策略能体现驾驶员的换挡意图,且满足换挡品质需求。

  18. Study on Coordination Optimization Model and System Analysis of Agricultural Machinery Supporting Service%农机配套服务的系统分析和协调优化模型研究

    Institute of Scientific and Technical Information of China (English)

    于晓秋; 冷志杰

    2013-01-01

    This paper,base on the definition of agricultural machinery service.Firstly,it analyzes systematically influence factors of agricultural machinery supporting services.Take data of farm machinery and grain yield and so on of Heilongjiang reclamation 51 farms near 10 year as the examples,use correlation analysis and establishes the most superior model,the result indicates correlation coefficient absolute value existences drop tendency between a complete set and the grain yield year by year in the Heilongjiang reclamation area farm machinery at present.Take the data of a Seven Star farm near 10 year as the example,we find there is closer relevance between the small agricultural machinery tools and the grain yield.The large and middle scale tractor agricultural machinery tools indicates the remarkable role to the grain yield by using the most superior regression model.Finally,satisfied condition of decision variables are determined by establishing and the analyzing coordinated optimization model of farm machinery necessary service.It has the vital significance in order to advance the agricultural machinery supporting serve.%在界定农机配套服务的基础上,首先系统分析了农机配套服务的影响因素,以黑龙江垦区51个农场近10年农机和粮食产量等数据为例,采用相关分析、建立最优模型等方法知目前黑龙江垦区农机配套比与粮食单产相关系数的绝对值存在逐年减少趋势.再以七星农场近10年数据为例知小型农机具配套比与粮食产量相关性最密切,而利用建立最优回归模型揭示大中型拖拉机配套农机具对粮食产量起到显著作用.最后建立和分析农机配套服务的协调优化模型,确定了决策变量的满足条件,为推进农机配套服务具有重要意义.

  19. Automation in Immunohematology

    Directory of Open Access Journals (Sweden)

    Meenu Bajpai

    2012-01-01

    Full Text Available There have been rapid technological advances in blood banking in South Asian region over the past decade with an increasing emphasis on quality and safety of blood products. The conventional test tube technique has given way to newer techniques such as column agglutination technique, solid phase red cell adherence assay, and erythrocyte-magnetized technique. These new technologies are adaptable to automation and major manufacturers in this field have come up with semi and fully automated equipments for immunohematology tests in the blood bank. Automation improves the objectivity and reproducibility of tests. It reduces human errors in patient identification and transcription errors. Documentation and traceability of tests, reagents and processes and archiving of results is another major advantage of automation. Shifting from manual methods to automation is a major undertaking for any transfusion service to provide quality patient care with lesser turnaround time for their ever increasing workload. This article discusses the various issues involved in the process.

  20. Automated model building

    CERN Document Server

    Caferra, Ricardo; Peltier, Nicholas

    2004-01-01

    This is the first book on automated model building, a discipline of automated deduction that is of growing importance Although models and their construction are important per se, automated model building has appeared as a natural enrichment of automated deduction, especially in the attempt to capture the human way of reasoning The book provides an historical overview of the field of automated deduction, and presents the foundations of different existing approaches to model construction, in particular those developed by the authors Finite and infinite model building techniques are presented The main emphasis is on calculi-based methods, and relevant practical results are provided The book is of interest to researchers and graduate students in computer science, computational logic and artificial intelligence It can also be used as a textbook in advanced undergraduate courses

  1. Automation in Warehouse Development

    CERN Document Server

    Verriet, Jacques

    2012-01-01

    The warehouses of the future will come in a variety of forms, but with a few common ingredients. Firstly, human operational handling of items in warehouses is increasingly being replaced by automated item handling. Extended warehouse automation counteracts the scarcity of human operators and supports the quality of picking processes. Secondly, the development of models to simulate and analyse warehouse designs and their components facilitates the challenging task of developing warehouses that take into account each customer’s individual requirements and logistic processes. Automation in Warehouse Development addresses both types of automation from the innovative perspective of applied science. In particular, it describes the outcomes of the Falcon project, a joint endeavour by a consortium of industrial and academic partners. The results include a model-based approach to automate warehouse control design, analysis models for warehouse design, concepts for robotic item handling and computer vision, and auton...

  2. Advances in inspection automation

    Science.gov (United States)

    Weber, Walter H.; Mair, H. Douglas; Jansen, Dion; Lombardi, Luciano

    2013-01-01

    This new session at QNDE reflects the growing interest in inspection automation. Our paper describes a newly developed platform that makes the complex NDE automation possible without the need for software programmers. Inspection tasks that are tedious, error-prone or impossible for humans to perform can now be automated using a form of drag and drop visual scripting. Our work attempts to rectify the problem that NDE is not keeping pace with the rest of factory automation. Outside of NDE, robots routinely and autonomously machine parts, assemble components, weld structures and report progress to corporate databases. By contrast, components arriving in the NDT department typically require manual part handling, calibrations and analysis. The automation examples in this paper cover the development of robotic thickness gauging and the use of adaptive contour following on the NRU reactor inspection at Chalk River.

  3. Coordinated control of HVAC systems

    OpenAIRE

    Federspiel, Clifford C; Lanning, Sasha D; Li, Hulin; David M. Auslander

    2001-01-01

    This paper describes the development of new control logic for starting and stopping energy-intensive equipment in buildings such as staged air-conditioning units. The concept is to use pulse-width modulation (PWM) instead of level-crossing logic. A finite state machine is used to handle the case where a single unit has multiple stages of operation. An optimized coordinator determines the phase of the PWM signals of each unit so that peak demand for power is minimized over each PWM period. Con...

  4. Mapping brains without coordinates

    OpenAIRE

    Kötter, Rolf; Wanke, Egon

    2005-01-01

    Brain mapping has evolved considerably over the last century. While most emphasis has been placed on coordinate-based spatial atlases, coordinate-independent parcellation-based mapping is an important technique for accessing the multitude of structural and functional data that have been reported from invasive experiments, and provides for flexible and efficient representations of information. Here, we provide an introduction to motivations, concepts, techniques and implications of coordinate-...

  5. TOURISME-TRANSPORT : CAPACITE DE COORDINATION

    OpenAIRE

    Marques, Bruno

    2016-01-01

    Two major findings emerge from the theoretical analysis of Transport-Tourism link via a game theory type model of capacity coordination. Firstly the model explains the optimal capacities ratio of Transport and Tourism by the quotient of the ratio of tourism type (ratio of the length of stay in the destination and of transport duration) divided by the installation costs ratio (of transport and tourism).The corollary of this first finding gives the second outcome: The optimal transport and Tour...

  6. TOURISME-TRANSPORT : CAPACITÉ DE COORDINATION

    OpenAIRE

    Marques, Bruno

    2016-01-01

    Two major findings emerge from the theoretical analysis of Transport-Tourism link via a game theory type model of capacity coordination. Firstly the model explains the optimal capacities ratio of Transport and Tourism by the quotient of the ratio of tourism type (ratio of the length of stay in the destination and of transport duration) divided by the installation costs ratio (of transport and tourism).The corollary of this first finding gives the second outcome: The optimal transport and Tour...

  7. Improvement of Test Automation

    OpenAIRE

    Räsänen, Timo

    2013-01-01

    The purpose for this study was to find out how to ensure that the automated testing of MME in the Network Verification will continue smooth and reliable while using the in-house developed test automation framework. The goal of this thesis was to reveal the reasons of the currently challenging situation and to find the key elements to be improved in the MME testing carried by the test automation. Also a reason for the study was to get solutions as to how to change the current procedures and wa...

  8. Chef infrastructure automation cookbook

    CERN Document Server

    Marschall, Matthias

    2013-01-01

    Chef Infrastructure Automation Cookbook contains practical recipes on everything you will need to automate your infrastructure using Chef. The book is packed with illustrated code examples to automate your server and cloud infrastructure.The book first shows you the simplest way to achieve a certain task. Then it explains every step in detail, so that you can build your knowledge about how things work. Eventually, the book shows you additional things to consider for each approach. That way, you can learn step-by-step and build profound knowledge on how to go about your configuration management

  9. Automated Hardware Design via Evolutionary Search

    Science.gov (United States)

    Lohn, Jason D.; Colombano, Silvano P.

    2000-01-01

    The goal of this research is to investigate the application of evolutionary search to the process of automated engineering design. Evolutionary search techniques involve the simulation of Darwinian mechanisms by computer algorithms. In recent years, such techniques have attracted much attention because they are able to tackle a wide variety of difficult problems and frequently produce acceptable solutions. The results obtained are usually functional, often surprising, and typically "messy" because the algorithms are told to concentrate on the overriding objective and not elegance or simplicity. advantages. First, faster design cycles translate into time and, hence, cost savings. Second, automated design techniques can be made to scale well and hence better deal with increasing amounts of design complexity. Third, design quality can increase because design properties can be specified a priori. For example, size and weight specifications of a device, smaller and lighter than the best known design, might be optimized by the automated design technique. The domain of electronic circuit design is an advantageous platform in which to study automated design techniques because it is a rich design space that is well understood, permitting human-created designs to be compared to machine- generated designs. developed for circuit design was to automatically produce high-level integrated electronic circuit designs whose properties permit physical implementation in silicon. This process entailed designing an effective evolutionary algorithm and solving a difficult multiobjective optimization problem. FY 99 saw many accomplishments in this effort.

  10. IVS Technology Coordinator Report

    Science.gov (United States)

    Whitney, Alan

    2013-01-01

    This report of the Technology Coordinator includes the following: 1) continued work to implement the new VLBI2010 system, 2) the 1st International VLBI Technology Workshop, 3) a VLBI Digital- Backend Intercomparison Workshop, 4) DiFX software correlator development for geodetic VLBI, 5) a review of progress towards global VLBI standards, and 6) a welcome to new IVS Technology Coordinator Bill Petrachenko.

  11. Coordinate measuring machines

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo

    This document is used in connection with three exercises of 2 hours duration as a part of the course GEOMETRICAL METROLOGY AND MACHINE TESTING. The exercises concern three aspects of coordinate measuring: 1) Measuring and verification of tolerances on coordinate measuring machines, 2) Traceabilit...

  12. Automated Vehicles Symposium 2014

    CERN Document Server

    Beiker, Sven; Road Vehicle Automation 2

    2015-01-01

    This paper collection is the second volume of the LNMOB series on Road Vehicle Automation. The book contains a comprehensive review of current technical, socio-economic, and legal perspectives written by experts coming from public authorities, companies and universities in the U.S., Europe and Japan. It originates from the Automated Vehicle Symposium 2014, which was jointly organized by the Association for Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Burlingame, CA, in July 2014. The contributions discuss the challenges arising from the integration of highly automated and self-driving vehicles into the transportation system, with a focus on human factors and different deployment scenarios. This book is an indispensable source of information for academic researchers, industrial engineers, and policy makers interested in the topic of road vehicle automation.

  13. I-94 Automation FAQs

    Data.gov (United States)

    Department of Homeland Security — In order to increase efficiency, reduce operating costs and streamline the admissions process, U.S. Customs and Border Protection has automated Form I-94 at air and...

  14. Automated Vehicles Symposium 2015

    CERN Document Server

    Beiker, Sven

    2016-01-01

    This edited book comprises papers about the impacts, benefits and challenges of connected and automated cars. It is the third volume of the LNMOB series dealing with Road Vehicle Automation. The book comprises contributions from researchers, industry practitioners and policy makers, covering perspectives from the U.S., Europe and Japan. It is based on the Automated Vehicles Symposium 2015 which was jointly organized by the Association of Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Ann Arbor, Michigan, in July 2015. The topical spectrum includes, but is not limited to, public sector activities, human factors, ethical and business aspects, energy and technological perspectives, vehicle systems and transportation infrastructure. This book is an indispensable source of information for academic researchers, industrial engineers and policy makers interested in the topic of road vehicle automation.

  15. Hydrometeorological Automated Data System

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Office of Hydrologic Development of the National Weather Service operates HADS, the Hydrometeorological Automated Data System. This data set contains the last...

  16. An automated Certification Authority

    CERN Document Server

    Shamardin, L V

    2002-01-01

    This note describe an approach to building an automated Certification Authority. It is compatible with basic requirements of RFC2527. It also supports Registration Authorities and Globus Toolkit grid-cert-renew automatic certificate renewal.

  17. 基于全网统筹的联络线分层优化调度%Optimization of Tie-line Hierarchical Schedule Based on Network-wide Coordination

    Institute of Scientific and Technical Information of China (English)

    许丹; 李晓磊; 丁强; 崔晖; 韩彬

    2014-01-01

    The traditional tie-line schedule is entirely based on the electricity transaction,hence it is loosely coupled with power grid operation all along and relatively independent from the generation scheduling.These cause difficulties in adj usting tie-line schedule and lack of capacity in global allocation of resources.In face of these problems,a hierarchical tie-line schedule model based on network-wide coordination is proposed by resorting to the existing tie-line planning.The upper model gets the ideal tie-line schedule through the economical dispatch constrained by the whole network security.The lower model uses the ideal tie-line schedule as the optimization obj ective,and takes electricity transactions as constraints to achieve the tie-line schedule. This model has achieved automatic preparation and flexible adj ustment of tie-line scheduling,while providing an available manner that combines the schedule with the grid operating state.The proposed algorithm is applied to the tie-line schedule of Central China power grid,while the comparison between the proposed method and the traditional method showing the correctness and effectiveness of the proposed algorithm.%传统联络线计划完全基于电力交易,与电网运行长期处于松耦合状态且与机组计划相对独立,存在联络线计划调整困难,资源全局配置能力不足等问题。针对上述问题,文中以现有联络线计划编制方式为基础,提出了基于全网统筹的联络线分层优化模型。上层模型通过全网安全约束经济调度求取理想联络线计划。下层模型以理想联络线计划为优化目标,以交易合同实际执行为相关约束求解联络线计划。该模型实现了联络线计划自动编制与灵活调整,提供了一种将联络线计划与电网运行状态相结合的可用方式。将所提模型运用于华中电网联络线计划编制,并对优化结果与传统计划进行对比分析,验证了所提方法的正确性与有效性。

  18. Disassembly automation automated systems with cognitive abilities

    CERN Document Server

    Vongbunyong, Supachai

    2015-01-01

    This book presents a number of aspects to be considered in the development of disassembly automation, including the mechanical system, vision system and intelligent planner. The implementation of cognitive robotics increases the flexibility and degree of autonomy of the disassembly system. Disassembly, as a step in the treatment of end-of-life products, can allow the recovery of embodied value left within disposed products, as well as the appropriate separation of potentially-hazardous components. In the end-of-life treatment industry, disassembly has largely been limited to manual labor, which is expensive in developed countries. Automation is one possible solution for economic feasibility. The target audience primarily comprises researchers and experts in the field, but the book may also be beneficial for graduate students.

  19. Automated security management

    CERN Document Server

    Al-Shaer, Ehab; Xie, Geoffrey

    2013-01-01

    In this contributed volume, leading international researchers explore configuration modeling and checking, vulnerability and risk assessment, configuration analysis, and diagnostics and discovery. The authors equip readers to understand automated security management systems and techniques that increase overall network assurability and usability. These constantly changing networks defend against cyber attacks by integrating hundreds of security devices such as firewalls, IPSec gateways, IDS/IPS, authentication servers, authorization/RBAC servers, and crypto systems. Automated Security Managemen

  20. Automating Supplier Selection Procedures

    OpenAIRE

    Davidrajuh, Reggie

    2001-01-01

    This dissertation describes a methodology, tools, and implementation techniques of automating supplier selection procedures of a small and medium-sized agile virtual enterprise. Firstly, a modeling approach is devised that can be used to model the supplier selection procedures of an enterprise. This modeling approach divides the supplier selection procedures broadly into three stages, the pre-selection, selection, and post-selection stages. Secondly, a methodology is presented for automating ...

  1. Taiwan Automated Telescope Network

    OpenAIRE

    Shuhrat Ehgamberdiev; Alexander Serebryanskiy; Antonio Jimenez; Li-Han Wang; Ming-Tsung Sun; Javier Fernandez Fernandez; Dean-Yi Chou

    2010-01-01

    A global network of small automated telescopes, the Taiwan Automated Telescope (TAT) network, dedicated to photometric measurements of stellar pulsations, is under construction. Two telescopes have been installed in Teide Observatory, Tenerife, Spain and Maidanak Observatory, Uzbekistan. The third telescope will be installed at Mauna Loa Observatory, Hawaii, USA. Each system uses a 9-cm Maksutov-type telescope. The effective focal length is 225 cm, corresponding to an f-ratio of 25. The field...

  2. Automated Lattice Perturbation Theory

    Energy Technology Data Exchange (ETDEWEB)

    Monahan, Christopher

    2014-11-01

    I review recent developments in automated lattice perturbation theory. Starting with an overview of lattice perturbation theory, I focus on the three automation packages currently "on the market": HiPPy/HPsrc, Pastor and PhySyCAl. I highlight some recent applications of these methods, particularly in B physics. In the final section I briefly discuss the related, but distinct, approach of numerical stochastic perturbation theory.

  3. Automated functional software testing

    OpenAIRE

    Jelnikar, Kristina

    2009-01-01

    The following work describes an approach to software test automation of functional testing. In the introductory part we are introducing what testing problems development companies are facing. The second chapter describes some testing methods, what role does testing have in software development, some approaches to software development and the meaning of testing environment. Chapter 3 is all about test automation. After a brief historical presentation, we are demonstrating through s...

  4. Instant Sikuli test automation

    CERN Document Server

    Lau, Ben

    2013-01-01

    Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks. A concise guide written in an easy-to follow style using the Starter guide approach.This book is aimed at automation and testing professionals who want to use Sikuli to automate GUI. Some Python programming experience is assumed.

  5. Cassini Tour Atlas Automated Generation

    Science.gov (United States)

    Grazier, Kevin R.; Roumeliotis, Chris; Lange, Robert D.

    2011-01-01

    During the Cassini spacecraft s cruise phase and nominal mission, the Cassini Science Planning Team developed and maintained an online database of geometric and timing information called the Cassini Tour Atlas. The Tour Atlas consisted of several hundreds of megabytes of EVENTS mission planning software outputs, tables, plots, and images used by mission scientists for observation planning. Each time the nominal mission trajectory was altered or tweaked, a new Tour Atlas had to be regenerated manually. In the early phases of Cassini s Equinox Mission planning, an a priori estimate suggested that mission tour designers would develop approximately 30 candidate tours within a short period of time. So that Cassini scientists could properly analyze the science opportunities in each candidate tour quickly and thoroughly so that the optimal series of orbits for science return could be selected, a separate Tour Atlas was required for each trajectory. The task of manually generating the number of trajectory analyses in the allotted time would have been impossible, so the entire task was automated using code written in five different programming languages. This software automates the generation of the Cassini Tour Atlas database. It performs with one UNIX command what previously took a day or two of human labor.

  6. Automated system for calibration and control of the CHSPP-800 multichannel γ detector parameters

    International Nuclear Information System (INIS)

    An automated system for adjustment, calibration and control of total absorption Cherenkov spectrometer is described. The system comprises a mechanical platform, capable of moving in two mutually perpendicular directions; movement detectors and limit switches; power unit, automation unit with remote control board. The automated system can operate both in manual control regime with coordinate control by a digital indicator, and in operation regime with computer according to special programs. The platform mounting accuracy is ± 0.1 mm. Application of the automated system has increased the rate of the course of the counter adjustment works 3-5 times

  7. Automated Deployment of Customer-Premises Equipment

    OpenAIRE

    Åberg, Christian

    2016-01-01

    Zero touch deployment tools perform installation and configuration of computer networking devices without human interaction. Modern zero touch deployment tools generally lack support for routers and are platform dependent. This forces Internet Service Providers to rely on manual node deployment methods when deploying Customer-Premise Equipment which is time consuming and error prone. This thesis investigates how the process of deploying Customer-Premises Equipment can be automated and optimize...

  8. Automated optical sensing system for biochemical assays

    Science.gov (United States)

    Oroszlan, Peter; Duveneck, Gert L.; Ehrat, Markus; Widmer, H. M.

    1994-03-01

    In this paper, we present a new system called FOBIA that was developed and optimized with respect to automated operation of repetitive assay cycles with regenerable bioaffinity sensors. The reliability and precision of the new system is demonstrated by an application in a competitive assay for the detection of the triazine herbicide Atrazine. Using one sensor in more than 300 repetitive cycles, a signal precision better than 5% was achieved.

  9. Coordination failure caused by sunspots

    DEFF Research Database (Denmark)

    Beugnot, Julie; Gürgüç, Zeynep; Øvlisen, Frederik Roose; Roos, Michael M. W.

    2012-01-01

    In a coordination game with Pareto-ranked equilibria, we study whether a sunspot can lead to either coordination on an inferior equilibrium (mis-coordination) or to out-of equilibrium behavior (dis-coordination). While much of the literature searches for mechanisms to attain coordination on the e......-dominant equilibrium, but in the sunspot treatment, dis-coordination is frequent. Sunspots lead to significant inefficiency, and we conclude that sunspots can indeed cause coordination failure....

  10. Towards full automation of accelerators through computer control

    CERN Document Server

    Gamble, J; Kemp, D; Keyser, R; Koutchouk, Jean-Pierre; Martucci, P P; Tausch, Lothar A; Vos, L

    1980-01-01

    The computer control system of the Intersecting Storage Rings (ISR) at CERN has always laid emphasis on two particular operational aspects, the first being the reproducibility of machine conditions and the second that of giving the operators the possibility to work in terms of machine parameters such as the tune. Already certain phases of the operation are optimized by the control system, whilst others are automated with a minimum of manual intervention. The authors describe this present control system with emphasis on the existing automated facilities and the features of the control system which make it possible. It then discusses the steps needed to completely automate the operational procedure of accelerators. (7 refs).

  11. Supercritical Airfoil Coordinates

    Data.gov (United States)

    National Aeronautics and Space Administration — Rectangular Supercritical Wing (Ricketts) - design and measured locations are provided in an Excel file RSW_airfoil_coordinates_ricketts.xls . One sheet is with Non...

  12. Movement and Coordination

    Science.gov (United States)

    ... in Action Medical Editor & Editorial Advisory Board Sponsors Sponsorship Opporunities Spread the Word Shop AAP Find a Pediatrician ... Movement and Coordination Page Content Article Body At this age, your child will seem to be continually on the go— ...

  13. Coordination and Policy Traps

    OpenAIRE

    Angeletos, George-Marios; Hellwig, Christian; Pavan, Alessandro

    2003-01-01

    This paper examines the ability of a policy maker to control equilibrium outcomes in an environment where market participants play a coordination game with information heterogeneity. We consider defense policies against speculative currency attacks in a model where speculators observe the fundamentals with idiosyncratic noise. The policy maker is willing to take a costly policy action only for moderate fundamentals. Market participants can use this information to coordinate on di.erent respon...

  14. Attribute coordination in organizations

    OpenAIRE

    Yingyi Qian; Gerard Roland; Chenggang Xu

    2001-01-01

    We study coordination in organizations with a variety of organizational forms. Coordination in organization is modeled as the adjustment of attributes and capacities of tasks when facing external shocks. An M-form (U-form) organization groups complementary (substitutable) tasks together in one unit. In the presence of only attribute shocks, particularly when gains from specialization are small, communication is poor, or shocks are more likely, the expected payoff of the decentralized M-form i...

  15. Continuous parallel coordinates.

    Science.gov (United States)

    Heinrich, Julian; Weiskopf, Daniel

    2009-01-01

    Typical scientific data is represented on a grid with appropriate interpolation or approximation schemes,defined on a continuous domain. The visualization of such data in parallel coordinates may reveal patterns latently contained in the data and thus can improve the understanding of multidimensional relations. In this paper, we adopt the concept of continuous scatterplots for the visualization of spatially continuous input data to derive a density model for parallel coordinates. Based on the point-line duality between scatterplots and parallel coordinates, we propose a mathematical model that maps density from a continuous scatterplot to parallel coordinates and present different algorithms for both numerical and analytical computation of the resulting density field. In addition, we show how the 2-D model can be used to successively construct continuous parallel coordinates with an arbitrary number of dimensions. Since continuous parallel coordinates interpolate data values within grid cells, a scalable and dense visualization is achieved, which will be demonstrated for typical multi-variate scientific data. PMID:19834230

  16. Magnetic Coordinate Systems

    Science.gov (United States)

    Laundal, K. M.; Richmond, A. D.

    2016-07-01

    Geospace phenomena such as the aurora, plasma motion, ionospheric currents and associated magnetic field disturbances are highly organized by Earth's main magnetic field. This is due to the fact that the charged particles that comprise space plasma can move almost freely along magnetic field lines, but not across them. For this reason it is sensible to present such phenomena relative to Earth's magnetic field. A large variety of magnetic coordinate systems exist, designed for different purposes and regions, ranging from the magnetopause to the ionosphere. In this paper we review the most common magnetic coordinate systems and describe how they are defined, where they are used, and how to convert between them. The definitions are presented based on the spherical harmonic expansion coefficients of the International Geomagnetic Reference Field (IGRF) and, in some of the coordinate systems, the position of the Sun which we show how to calculate from the time and date. The most detailed coordinate systems take the full IGRF into account and define magnetic latitude and longitude such that they are constant along field lines. These coordinate systems, which are useful at ionospheric altitudes, are non-orthogonal. We show how to handle vectors and vector calculus in such coordinates, and discuss how systematic errors may appear if this is not done correctly.

  17. Automated Camera Calibration

    Science.gov (United States)

    Chen, Siqi; Cheng, Yang; Willson, Reg

    2006-01-01

    Automated Camera Calibration (ACAL) is a computer program that automates the generation of calibration data for camera models used in machine vision systems. Machine vision camera models describe the mapping between points in three-dimensional (3D) space in front of the camera and the corresponding points in two-dimensional (2D) space in the camera s image. Calibrating a camera model requires a set of calibration data containing known 3D-to-2D point correspondences for the given camera system. Generating calibration data typically involves taking images of a calibration target where the 3D locations of the target s fiducial marks are known, and then measuring the 2D locations of the fiducial marks in the images. ACAL automates the analysis of calibration target images and greatly speeds the overall calibration process.

  18. Case Studies on an Approach to Multiple Autonomous Vehicle Motion Coordination

    Institute of Scientific and Technical Information of China (English)

    D.K. Liu; X. Wu; G. Paul; G. Dissanayake

    2006-01-01

    This paper conducts a series of case studies on a novel Simultaneous Path and Motion Planning (SiPaMoP) approach[1] to multiple autonomous or Automated Guided Vehicle (AGV) motion coordination in bidirectional networks. The SiPaMoP approach plans collision-free paths for vehicles based on the principle of shortest path by dynamically changing the vehicles' paths, traveling speeds or waiting times, whichever gives the shortest traveling time. It integrates path planning, collision avoidance and motion planning into a comprehensive model and optimizes the vehicles' path and motion to minimize the completion time of a set of tasks. Five case studies, i.e., head-on collision avoidance,catching-up collision avoidance, buffer node generation and collision avoidance, prioritybased motion coordination, and safety distance based planning, are presented. The results demonstrated that the method can effectively plan the path and motion for a team of autonomous vehicles or AGVs, and solve the problems of traffic congestion and collision under various conditions.

  19. The Robo-AO automated intelligent queue system

    CERN Document Server

    Riddle, Reed L; Papadopoulos, Athanasios; Baranec, Christoph; Law, Nicholas M

    2014-01-01

    Robo-AO is the first automated laser adaptive optics instrument. In just its second year of scientific operations, it has completed the largest adaptive optics surveys to date, each comprising thousands of targets. Robo-AO uses a fully automated queue scheduling system that selects targets based on criteria entered on a per observing program or per target basis, and includes the ability to coordinate with US Strategic Command automatically to avoid lasing space assets. This enables Robo-AO to select among thousands of targets at a time, and achieve an average observation rate of approximately 20 targets per hour.

  20. Myths in test automation

    OpenAIRE

    Jazmine Francis

    2015-01-01

    Myths in automation of software testing is an issue of discussion that echoes about the areas of service in validation of software industry. Probably, the first though that appears in knowledgeable reader would be Why this old topic again? What's New to discuss the matter? But, for the first time everyone agrees that undoubtedly automation testing today is not today what it used to be ten or fifteen years ago, because it has evolved in scope and magnitude. What began as a simple linear script...

  1. Automated phantom assay system

    International Nuclear Information System (INIS)

    This paper describes an automated phantom assay system developed for assaying phantoms spiked with minute quantities of radionuclides. The system includes a computer-controlled linear-translation table that positions the phantom at exact distances from a spectrometer. A multichannel analyzer (MCA) interfaces with a computer to collect gamma spectral data. Signals transmitted between the controller and MCA synchronize data collection and phantom positioning. Measured data are then stored on disk for subsequent analysis. The automated system allows continuous unattended operation and ensures reproducible results

  2. Automation of Shift Work in Operations

    International Nuclear Information System (INIS)

    NPP Krsko has started with Operations shift work automation in 2009. The main goal is to establish complete equipment and systems status control by electronic mean in next two years (until outage 2012). Other benefits that can be attained with such automation are: operations performance improvement (immediate response), better interaction (communication) among plant personnel, reduction of possible human errors, outage shift work optimization, reduced repetitive work, availability of on-line information related to plant operation. To achieve the plant status control by electronic mean, various shift work processes in operations must be automated and integrated such as: Operator rounds; Narrative Logs; Tagging process; Equipment deficiencies tracking; Plant Technical Specifications monitoring system; Temporary modifications; Personnel Qualifications and Scheduling (working hours control); Personnel authorization; Notification (Obligatory readings); Key control. Before implementation of shift work processes automation there are some prerequisites that must be fulfilled. Technically very important is to have precisely defined processes, good equipment data base with defined components and subcomponents and consistently labeled equipment. Domestic law requirements should be checked for conformity related to documents authorization. All relevant bodies which participate in decision making within the plant and outside organizations (regulatory authority - SNSA, Energy and Mining Inspectorate) should be acquainted with the plant intention to replace old way of administering to new way. This paper gives details on the software features, implementation, and lists and discusses difficulties that can arise during such change.(author).

  3. Distribution Loss Reduction by Household Consumption Coordination in Smart Grids

    DEFF Research Database (Denmark)

    Juelsgaard, Morten; Andersen, Palle; Wisniewski, Rafal

    2014-01-01

    coordinating consumption of electrical energy within the community, with the purpose of reducing grid loading and active power losses. For this we present a simplified model of the electrical grid, including system losses and capacity constraints. Coordination is performed in a distributed fashion, where each...... obeyed. These objectives are enforced by coordinating consumers through a nonlinear penalty on power consumption. We present simulation test-cases, illustrating that significant reduction of active losses, can be obtained by such coordination. The distributed optimization algorithm employs the...

  4. The Automated Planet Finder's automation & first two years of science

    Science.gov (United States)

    Burt, Jennifer; Laughlin, Greg; Vogt, Steven S.; Holden, Bradford

    2016-01-01

    The Automated Planet Finder (APF) is the newest facility at Lick Observatory, comprised of a 2.4m telescope coupled with the high-resolution Levy echelle spectrograph. Purpose built for exoplanet detection and characterization, 80% of the telescope's observing time is dedicated to these science goals. The APF has demonstrated 1 m/s radial velocity precision on bright, RV standard stars and performs with the same speed-on-sky as Keck/HIRES when observing M-dwarfs.The telesope is fully automated for RV operations, using a dynamic scheduler that makes informed decisions on which targets to observe based on scientific interest, desired cadence, required precision levels and current observing conditions, all on a minute-to-minute basis. This ensures that time is not wasted chasing non-optimal targets on nights with poor conditions and enables rapid changes to the overall science observing strategy.The APF has contributed to the detection of four planetary systems in its first two years of scientific operations. Our most recent detection is that of a 6-planet system around the bright (V=5.5), nearby (d=6.5pc), K3V star HD 219134. The planets in this system have masses ranging from 3.5 to108 MEarth, with orbital periods from 3 to 2247 days. An independent detection of the inner 4 planets in this system by the HARPS-N team has shown that the 3d planet transits the star, making this system ideal for follow-up observations.I will discuss the design and implementation of the APF's dynamic scheduler, the telescope's planet detections to date, overall performance results of the telescope and our future observing strategy.

  5. A scheme for a future distribution automation system in Finnish utilities

    International Nuclear Information System (INIS)

    This presentation summarizes the results of a project, the aim of which was to define the optimal set of functions for the future distribution automation (DA) systems in Finland. The general factors, which affect the automation needs, are first discussed. The benefits of various functions of DA and demand side management (DSM) are then studied. Next a computer model for a DA feasibility analysis is presented, and some computation results are given. From these, the proposed automation scheme is finally concluded

  6. A scheme for a future distribution automation system in Finnish utilities

    Energy Technology Data Exchange (ETDEWEB)

    Lehtonen, M.; Kaerkkaeinen, S. [VTT Energy, Espoo (Finland); Partanen, J. [Lappeenranta Univ. of Technology (Finland)

    1998-08-01

    This presentation summarizes the results of a project, the aim of which was to define the optimal set of functions for the future distribution automation (DA) systems in Finland. The general factors, which affect the automation needs, are first discussed. The benefits of various functions of DA and demand side management (DSM) are then studied. Next a computer model for a DA feasibility analysis is presented, and some computation results are given. From these, the proposed automation scheme is finally concluded

  7. A scheme for a future distribution automation system in Finnish utilities

    Energy Technology Data Exchange (ETDEWEB)

    Lehtonen, M.; Kaerkkaeinen, S. [VTT Energy, Espoo (Finland); Partanen, J. [Lappeenranta Univ. of Technology (Finland)

    1996-12-31

    This presentation summarizes the results of a project, the aim of which was to define the optimal set of functions for the future distribution automation (DA) systems in Finland. The general factors. which affect the automation needs, are first discussed. The benefits of various functions of DA and demand side management (DSM) are then studied. Next a computer model for a DA feasibility analysis is presented, and some computation results are given. From these. the proposed automation scheme is finally concluded

  8. Automated conflict resolution issues

    Science.gov (United States)

    Wike, Jeffrey S.

    1991-01-01

    A discussion is presented of how conflicts for Space Network resources should be resolved in the ATDRSS era. The following topics are presented: a description of how resource conflicts are currently resolved; a description of issues associated with automated conflict resolution; present conflict resolution strategies; and topics for further discussion.

  9. Protokoller til Home Automation

    DEFF Research Database (Denmark)

    Kjær, Kristian Ellebæk

    2008-01-01

    computer, der kan skifte mellem foruddefinerede indstillinger. Nogle gange kan computeren fjernstyres over internettet, så man kan se hjemmets status fra en computer eller måske endda fra en mobiltelefon. Mens nævnte anvendelser er klassiske indenfor home automation, er yderligere funktionalitet dukket op...

  10. Myths in test automation

    Directory of Open Access Journals (Sweden)

    Jazmine Francis

    2015-01-01

    Full Text Available Myths in automation of software testing is an issue of discussion that echoes about the areas of service in validation of software industry. Probably, the first though that appears in knowledgeable reader would be Why this old topic again? What's New to discuss the matter? But, for the first time everyone agrees that undoubtedly automation testing today is not today what it used to be ten or fifteen years ago, because it has evolved in scope and magnitude. What began as a simple linear scripts for web applications today has a complex architecture and a hybrid framework to facilitate the implementation of testing applications developed with various platforms and technologies. Undoubtedly automation has advanced, but so did the myths associated with it. The change in perspective and knowledge of people on automation has altered the terrain. This article reflects the points of views and experience of the author in what has to do with the transformation of the original myths in new versions, and how they are derived; also provides his thoughts on the new generation of myths.

  11. Automated data model evaluation

    International Nuclear Information System (INIS)

    Modeling process is essential phase within information systems development and implementation. This paper presents methods and techniques for analysis and evaluation of data model correctness. Recent methodologies and development results regarding automation of the process of model correctness analysis and relations with ontology tools has been presented. Key words: Database modeling, Data model correctness, Evaluation

  12. Automated solvent concentrator

    Science.gov (United States)

    Griffith, J. S.; Stuart, J. L.

    1976-01-01

    Designed for automated drug identification system (AUDRI), device increases concentration by 100. Sample is first filtered, removing particulate contaminants and reducing water content of sample. Sample is extracted from filtered residue by specific solvent. Concentrator provides input material to analysis subsystem.

  13. ELECTROPNEUMATIC AUTOMATION EDUCATIONAL LABORATORY

    OpenAIRE

    Dolgorukov, S. O.; National Aviation University; Roman, B. V.; National Aviation University

    2013-01-01

    The article reflects current situation in education regarding mechatronics learning difficulties. Com-plex of laboratory test benches on electropneumatic automation are considered as a tool in advancing through technical science. Course of laboratory works developed to meet the requirement of efficient and reliable way of practical skills acquisition is regarded the simplest way for students to learn the ba-sics of mechatronics.

  14. System automation for a bacterial colony detection and identification instrument via forward scattering

    International Nuclear Information System (INIS)

    A system design and automation of a microbiological instrument that locates bacterial colonies and captures the forward-scattering signatures are presented. The proposed instrument integrates three major components: a colony locator, a forward scatterometer and a motion controller. The colony locator utilizes an off-axis light source to illuminate a Petri dish and an IEEE1394 camera to capture the diffusively scattered light to provide the number of bacterial colonies and two-dimensional coordinate information of the bacterial colonies with the help of a segmentation algorithm with region-growing. Then the Petri dish is automatically aligned with the respective centroid coordinate with a trajectory optimization method, such as the Traveling Salesman Algorithm. The forward scatterometer automatically computes the scattered laser beam from a monochromatic image sensor via quadrant intensity balancing and quantitatively determines the centeredness of the forward-scattering pattern. The final scattering signatures are stored to be analyzed to provide rapid identification and classification of the bacterial samples

  15. Generator Coordinate Truncations

    CERN Document Server

    Hagino, K; Reinhard, P G

    2003-01-01

    We investigate the accuracy of several schemes to calculate ground-state correlation energies using the generator coordinate technique. Our test-bed for the study is the $sd$ interacting boson model, equivalent to a 6-level Lipkin-type model. We find that the simplified projection of a triaxial generator coordinate state using the $S_3$ subgroup of the rotation group is not very accurate in the parameter space of the Hamiltonian of interest. On the other hand, a full rotational projection of an axial generator coordinate state gives remarkable accuracy. We also discuss the validity of the simplified treatment using the extended Gaussian overlap approximation (top-GOA), and show that it works reasonably well when the number of boson is four or larger.

  16. Breast radiotherapy: dose distribution optimization by an integrated automated pre segmentation method (OAPS/Isogray/Dosisoft); Radiotherapie du sein: optimisation de la distribution de dose par une methode de presegmentation automatisee integree (OAPS/Isogray/Dosisoft)

    Energy Technology Data Exchange (ETDEWEB)

    Heymann, S.; Verstraet, R.; Vergne, E.; Pichenot, C.; Lefkopoulos, D.; Biron, B.; Bourhis, J.; Bourgier, C. [Institut Gustave-Roussy, 94 - Villejuif (France); Husson, F.; Kafrouni, H. [Societe Dosisoft, 94 - Cachan, (France)

    2010-10-15

    In order to optimize the protection of healthy tissues, notably by improving the homogenization of dose distribution within the breast volume, the authors report the development of a dose distribution segmentation method: the optimization with pre segmentation. Based on twelve clinic cases, they report the dosimetric validation of this method by comparing it with the three-dimensional-conformational irradiation. They obtain an improved conformity index of 0.984 compared to 0.910. Short communication

  17. Automating spectral measurements

    Science.gov (United States)

    Goldstein, Fred T.

    2008-09-01

    This paper discusses the architecture of software utilized in spectroscopic measurements. As optical coatings become more sophisticated, there is mounting need to automate data acquisition (DAQ) from spectrophotometers. Such need is exacerbated when 100% inspection is required, ancillary devices are utilized, cost reduction is crucial, or security is vital. While instrument manufacturers normally provide point-and-click DAQ software, an application programming interface (API) may be missing. In such cases automation is impossible or expensive. An API is typically provided in libraries (*.dll, *.ocx) which may be embedded in user-developed applications. Users can thereby implement DAQ automation in several Windows languages. Another possibility, developed by FTG as an alternative to instrument manufacturers' software, is the ActiveX application (*.exe). ActiveX, a component of many Windows applications, provides means for programming and interoperability. This architecture permits a point-and-click program to act as automation client and server. Excel, for example, can control and be controlled by DAQ applications. Most importantly, ActiveX permits ancillary devices such as barcode readers and XY-stages to be easily and economically integrated into scanning procedures. Since an ActiveX application has its own user-interface, it can be independently tested. The ActiveX application then runs (visibly or invisibly) under DAQ software control. Automation capabilities are accessed via a built-in spectro-BASIC language with industry-standard (VBA-compatible) syntax. Supplementing ActiveX, spectro-BASIC also includes auxiliary serial port commands for interfacing programmable logic controllers (PLC). A typical application is automatic filter handling.

  18. Coordination and citizen participation.

    Science.gov (United States)

    Tucker, D J

    1980-03-01

    This study investigates the validity of the assumption that coordination and citizen participation are related inversely and, thus, are incompatible as features in the same social service reform strategy. Seventeen social service organizations situated in the same urban area were studied. Data were obtained by structured interview. The concepts of coordination and citizen participation were operationalized by means of scales. The findings support the validity of the assumption noted above. Although interpretations of the findings can be provided, they are post-factum. This implies a need for explanatory research which might be guided by theories of community power structure and of organizational behavior. PMID:10246483

  19. Introduction to Coordination Chemistry

    CERN Document Server

    Lawrance, Geoffrey Alan

    2010-01-01

    Introduction to Coordination Chemistry examines and explains how metals and molecules that bind as ligands interact, and the consequences of this assembly process. This book describes the chemical and physical properties and behavior of the complex assemblies that form, and applications that may arise as a result of these properties. Coordination complexes are an important but often hidden part of our world?even part of us?and what they do is probed in this book. This book distills the essence of this topic for undergraduate students and for research scientists.

  20. Euler's fluid equations: Optimal control vs optimization

    International Nuclear Information System (INIS)

    An optimization method used in image-processing (metamorphosis) is found to imply Euler's equations for incompressible flow of an inviscid fluid, without requiring that the Lagrangian particle labels exactly follow the flow lines of the Eulerian velocity vector field. Thus, an optimal control problem and an optimization problem for incompressible ideal fluid flow both yield the same Euler fluid equations, although their Lagrangian parcel dynamics are different. This is a result of the gauge freedom in the definition of the fluid pressure for an incompressible flow, in combination with the symmetry of fluid dynamics under relabeling of their Lagrangian coordinates. Similar ideas are also illustrated for SO(N) rigid body motion.

  1. Automated measurement of Drosophila wings

    Directory of Open Access Journals (Sweden)

    Mezey Jason

    2003-12-01

    Full Text Available Abstract Background Many studies in evolutionary biology and genetics are limited by the rate at which phenotypic information can be acquired. The wings of Drosophila species are a favorable target for automated analysis because of the many interesting questions in evolution and development that can be addressed with them, and because of their simple structure. Results We have developed an automated image analysis system (WINGMACHINE that measures the positions of all the veins and the edges of the wing blade of Drosophilid flies. A video image is obtained with the aid of a simple suction device that immobilizes the wing of a live fly. Low-level processing is used to find the major intersections of the veins. High-level processing then optimizes the fit of an a priori B-spline model of wing shape. WINGMACHINE allows the measurement of 1 wing per minute, including handling, imaging, analysis, and data editing. The repeatabilities of 12 vein intersections averaged 86% in a sample of flies of the same species and sex. Comparison of 2400 wings of 25 Drosophilid species shows that wing shape is quite conservative within the group, but that almost all taxa are diagnosably different from one another. Wing shape retains some phylogenetic structure, although some species have shapes very different from closely related species. The WINGMACHINE system facilitates artificial selection experiments on complex aspects of wing shape. We selected on an index which is a function of 14 separate measurements of each wing. After 14 generations, we achieved a 15 S.D. difference between up and down-selected treatments. Conclusion WINGMACHINE enables rapid, highly repeatable measurements of wings in the family Drosophilidae. Our approach to image analysis may be applicable to a variety of biological objects that can be represented as a framework of connected lines.

  2. Advances in Automation and Robotics, Vol1

    CERN Document Server

    International conference on Automation and Robotics ICAR2011

    2012-01-01

    The international conference on Automation and Robotics-ICAR2011 is held during December 12-13, 2011 in Dubai, UAE. The proceedings of ICAR2011 have been published by Springer Lecture Notes in Electrical Engineering, which include 163 excellent papers selected from more than 400 submitted papers.   The conference is intended to bring together the researchers and engineers/technologists working in different aspects of intelligent control systems and optimization, robotics and automation, signal processing, sensors, systems modeling and control, industrial engineering, production and management.   This part of proceedings includes 81 papers contributed by many researchers in relevant topic areas covered at ICAR2011 from various countries such as France, Japan, USA, Korea and China etc.     Many papers introduced their advanced research work recently; some of them gave a new solution to problems in the field, with powerful evidence and detail demonstration. Others stated the application of their designed and...

  3. Advances in Automation and Robotics, Vol 2

    CERN Document Server

    International conference on Automation and Robotics-ICAR2011

    2012-01-01

    The international conference on Automation and Robotics-ICAR2011 is held during December 12-13, 2011 in Dubai, UAE. The conference is intended to bring together the researchers and engineers/technologists working in different aspects of intelligent control systems and optimization, robotics and automation, signal processing, sensors, systems modeling and control, industrial engineering, production and management. This part of proceedings includes 82 papers contributed by many researchers in relevant topic areas covered at ICAR2011 from various countries such as France, Japan, USA, Korea and China etc.  The session topics of this proceedings are signal processing and industrial engineering, production and management, which includes papers about signal reconstruction, mechanical sensors, real-time systems control system identification, change detection problems, business process modeling, production planning, scheduling and control, computer-based manufacturing technologies, systems modeling and simulation, fa...

  4. 基于优化的多机协同目标被动跟踪与控制方法%Optimized Passive Target Tracking and Coordinated Control by Multi-UAV Cooperation

    Institute of Scientific and Technical Information of China (English)

    李飞飞; 李超; 周锐

    2014-01-01

    To improve the observability and locating precision of targets under electronic silence and tactic invisibility,the optimal passive target tracking by multiple Unmanned Aerial Vehicles (UAVs) using Receding Horizon Optimization ( RHO) was studied.With respect to optimal tracking by dual cooperative UAVs,the spacial layout of the UAVs has great effect on the quality of passive target locating and tracking .To realize the optimal target tracking,the RHO was used to obtain the optimal control solution,and the headings of UAVs were adjusted in real time .Simulation results demonstrate the effectiveness of this method .%为提高“战术隐身”和“静默攻击”环境下目标的可观测性和跟踪定位精度,研究并完成了基于滚动时域优化( RHO)的纯方位角被动测量的UAV协同最优目标跟踪问题。对于双机协同最优跟踪的情况,观测UAV的空间相对布局对于被动定位与跟踪的质量起着极为重要的作用,采用最优控制的思想求取最优估计的控制量,实时调整UAV的航向,达到最优目标跟踪,并进行了仿真验证,结果证明了该方法的有效性。

  5. Automation in photogrammetry: Recent developments and applications (1972-1976)

    Science.gov (United States)

    Thompson, M.M.; Mikhail, E.M.

    1976-01-01

    An overview of recent developments in the automation of photogrammetry in various countries is presented. Conclusions regarding automated photogrammetry reached at the 1972 Congress in Ottawa are reviewed first as a background for examining the developments of 1972-1976. Applications are described for each country reporting significant developments. Among fifteen conclusions listed are statements concerning: the widespread practice of equipping existing stereoplotters with simple digitizers; the growing tendency to use minicomputers on-line with stereoplotters; the optimization of production of digital terrain models by progressive sampling in stereomodels; the potential of digitization of a photogrammetric model by density correlation on epipolar lines; the capabilities and economic aspects of advanced systems which permit simultaneous production of orthophotos, contours, and digital terrain models; the economy of off-line orthophoto systems; applications of digital image processing; automation by optical techniques; applications of sensors other than photographic imagery, and the role of photogrammetric phases in a completely automated cartographic system. ?? 1976.

  6. Effects of an Automated Maintenance Management System on organizational communication

    International Nuclear Information System (INIS)

    The primary purpose of the project was to evaluate the effectiveness of two techniques for improving organizational communication: (1) an Automated Maintenance Management System (AMMS) and (2) Interdepartmental Coordination Meetings. Additional objectives concerned the preparation of functional requirements for an AMMS, and training modules to improve group communication skills. Four nuclear power plants participated in the evaluation. Two plants installed AMMSs, one plant instituted interdepartmental job coordination meetings, and the fourth plant served as a control for the evaluation. Questionnaires and interviews were used to collect evaluative data. The evaluation focused on five communication or information criteria: timeliness, redundancy, withholding or gatekeeping, feedback, and accuracy/amount

  7. Recursive Advice for Coordination

    DEFF Research Database (Denmark)

    Terepeta, Michal Tomasz; Nielson, Hanne Riis; Nielson, Flemming

    Aspect-oriented programming is a programming paradigm that is often praised for the ability to create modular software and separate cross-cutting concerns. Recently aspects have been also considered in the context of coordination languages, offering similar advantages. However, introducing aspect...... systems. Even though primarily used for analysis of recursive programs, we are able to adapt them to fit this new context....

  8. Coordination of mobile labor

    Czech Academy of Sciences Publication Activity Database

    Steiner, Jakub

    2008-01-01

    Roč. 139, č. 1 (2008), s. 25-46. ISSN 0022-0531 R&D Projects: GA MŠk LC542 Institutional research plan: CEZ:AV0Z70850503 Keywords : coordination * general equilibrium * global game s Subject RIV: AH - Economics Impact factor: 1.224, year: 2008

  9. Facets of coordination chemistry

    CERN Document Server

    Agarwala, BV

    1993-01-01

    A concise account of coordination chemistry since its inception is given here together with some of the newer significant facets. This book covers a broad spectrum of various topics on Environment, Cyclic Voltammetry, Chromatography, Metal Complexes of biological interest, Alkoxides, NMR spectroscopy and others. These are useful to the scientific community engaged in the field of Inorganic Chemistry and Analytical Chemistry.

  10. Coordinating Work with Groupware

    DEFF Research Database (Denmark)

    Pors, Jens Kaaber; Simonsen, Jesper

    One important goal of employing groupware is to make possible complex collaboration between geographically distributed groups. This requires a dual transformation of both technology and work practice. The challenge is to re­duce the complexity of the coordination work by successfully inte­grating...

  11. Optimizing elliptic curve scalar multiplication for small scalars

    Science.gov (United States)

    Giorgi, Pascal; Imbert, Laurent; Izard, Thomas

    2009-08-01

    On an elliptic curve, the multiplication of a point P by a scalar k is defined by a series of operations over the field of definition of the curve E, usually a finite field Fq. The computational cost of [k]P = P + P + ...+ P (k times) is therefore expressed as the number of field operations (additions, multiplications, inversions). Scalar multiplication is usually computed using variants of the binary algorithm (double-and-add, NAF, wNAF, etc). If s is a small integer, optimized formula for [s]P can be used within a s-ary algorithm or with double-base methods with bases 2 and s. Optimized formulas exists for very small scalars (s number of field operations makes it a very difficult task when s > 5. We present a generic method to automate transformations of formulas for elliptic curves over prime fields in various systems of coordinates. Our method uses a directed acyclic graph structure to find possible common subexpressions appearing in the formula and several arithmetic transformations. It produces efficient formulas to compute [s]P for a large set of small scalars s. In particular, we present a faster formula for [5]P in Jacobian coordinates. Moreover, our program can produce code for various mathematical software (Magma) and libraries (PACE).

  12. Automated Preferences Elicitation

    Czech Academy of Sciences Publication Activity Database

    Kárný, Miroslav; Guy, Tatiana Valentine

    Prague : Institute of Information Theory and Automation, 2011, s. 20-25. ISBN 978-80-903834-6-3. [The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011). Sierra Nevada (ES), 16.12.2011-16.12.2011] R&D Projects: GA MŠk 1M0572; GA ČR GA102/08/0567 Institutional research plan: CEZ:AV0Z10750506 Keywords : elicitation * decision making * Bayesian decision making * fully probabilistic design Subject RIV: BB - Applied Statistics, Operational Research http://library.utia.cas.cz/separaty/2011/AS/karny-automated preferences elicitation.pdf

  13. Automated drawing generation system

    International Nuclear Information System (INIS)

    Since automated CAD drawing generation systems still require human intervention, improvements were focussed on an interactive processing section (data input and correcting operation) which necessitates a vast amount of work. As a result, human intervention was eliminated, the original objective of a computerized system. This is the first step taken towards complete automation. The effects of development and commercialization of the system are as described below. (1) The interactive processing time required for generating drawings was improved. It was determined that introduction of the CAD system has reduced the time required for generating drawings. (2) The difference in skills between workers preparing drawings has been eliminated and the quality of drawings has been made uniform. (3) The extent of knowledge and experience demanded of workers has been reduced. (author)

  14. Terminal automation system maintenance

    Energy Technology Data Exchange (ETDEWEB)

    Coffelt, D.; Hewitt, J. [Engineered Systems Inc., Tempe, AZ (United States)

    1997-01-01

    Nothing has improved petroleum product loading in recent years more than terminal automation systems. The presence of terminal automation systems (TAS) at loading racks has increased operational efficiency and safety and enhanced their accounting and management capabilities. However, like all finite systems, they occasionally malfunction or fail. Proper servicing and maintenance can minimize this. And in the unlikely event a TAS breakdown does occur, prompt and effective troubleshooting can reduce its impact on terminal productivity. To accommodate around-the-clock loading at racks, increasingly unattended by terminal personnel, TAS maintenance, servicing and troubleshooting has become increasingly demanding. It has also become increasingly important. After 15 years of trial and error at petroleum and petrochemical storage and transfer terminals, a number of successful troubleshooting programs have been developed. These include 24-hour {open_quotes}help hotlines,{close_quotes} internal (terminal company) and external (supplier) support staff, and {open_quotes}layered{close_quotes} support. These programs are described.

  15. ATLAS Distributed Computing Automation

    CERN Document Server

    Schovancova, J; The ATLAS collaboration; Borrego, C; Campana, S; Di Girolamo, A; Elmsheuser, J; Hejbal, J; Kouba, T; Legger, F; Magradze, E; Medrano Llamas, R; Negri, G; Rinaldi, L; Sciacca, G; Serfon, C; Van Der Ster, D C

    2012-01-01

    The ATLAS Experiment benefits from computing resources distributed worldwide at more than 100 WLCG sites. The ATLAS Grid sites provide over 100k CPU job slots, over 100 PB of storage space on disk or tape. Monitoring of status of such a complex infrastructure is essential. The ATLAS Grid infrastructure is monitored 24/7 by two teams of shifters distributed world-wide, by the ATLAS Distributed Computing experts, and by site administrators. In this paper we summarize automation efforts performed within the ATLAS Distributed Computing team in order to reduce manpower costs and improve the reliability of the system. Different aspects of the automation process are described: from the ATLAS Grid site topology provided by the ATLAS Grid Information System, via automatic site testing by the HammerCloud, to automatic exclusion from production or analysis activities.

  16. Rapid automated nuclear chemistry

    International Nuclear Information System (INIS)

    Rapid Automated Nuclear Chemistry (RANC) can be thought of as the Z-separation of Neutron-rich Isotopes by Automated Methods. The range of RANC studies of fission and its products is large. In a sense, the studies can be categorized into various energy ranges from the highest where the fission process and particle emission are considered, to low energies where nuclear dynamics are being explored. This paper presents a table which gives examples of current research using RANC on fission and fission products. The remainder of this text is divided into three parts. The first contains a discussion of the chemical methods available for the fission product elements, the second describes the major techniques, and in the last section, examples of recent results are discussed as illustrations of the use of RANC

  17. Rapid automated nuclear chemistry

    Energy Technology Data Exchange (ETDEWEB)

    Meyer, R.A.

    1979-05-31

    Rapid Automated Nuclear Chemistry (RANC) can be thought of as the Z-separation of Neutron-rich Isotopes by Automated Methods. The range of RANC studies of fission and its products is large. In a sense, the studies can be categorized into various energy ranges from the highest where the fission process and particle emission are considered, to low energies where nuclear dynamics are being explored. This paper presents a table which gives examples of current research using RANC on fission and fission products. The remainder of this text is divided into three parts. The first contains a discussion of the chemical methods available for the fission product elements, the second describes the major techniques, and in the last section, examples of recent results are discussed as illustrations of the use of RANC.

  18. Automated Microbial Metabolism Laboratory

    Science.gov (United States)

    1973-01-01

    Development of the automated microbial metabolism laboratory (AMML) concept is reported. The focus of effort of AMML was on the advanced labeled release experiment. Labeled substrates, inhibitors, and temperatures were investigated to establish a comparative biochemical profile. Profiles at three time intervals on soil and pure cultures of bacteria isolated from soil were prepared to establish a complete library. The development of a strategy for the return of a soil sample from Mars is also reported.

  19. Automation of dissolution tests

    OpenAIRE

    Rolf Rolli

    2003-01-01

    Dissolution testing of drug formulations was introduced in the 1960s and accepted by health regulatory authorities in the 1970s. Since then, the importance of dissolution has grown rapidly as have the number of tests and demands in quality-control laboratories. Recent research works lead to the development of in-vitro dissolution tests as replacements for human and animal bioequivalence studies. For many years, a lot of time and effort has been invested in automation of dissolution tests. The...

  20. Automated uranium assays

    International Nuclear Information System (INIS)

    Precise, timely inventories of enriched uranium stocks are vital to help prevent the loss, theft, or diversion of this material for illicit use. A wet-chemistry analyzer has been developed at LLL to assist in these inventories by performing automated analyses of uranium samples from different stages in the nuclear fuel cycle. These assays offer improved accuracy, reduced costs, significant savings in manpower, and lower radiation exposure for personnel compared with present techniques

  1. Construction Automation and Robotics

    OpenAIRE

    Bock, Thomas

    2008-01-01

    Due to the high complexity of the construction process and the stagnating technological development a long-term preparation is necessary to adapt it to advanced construction methods. Architects, engineers and all other participants of the construction process have to be integrated in this adaptation process. The short- and long-term development of automation will take place step-by-step and will be oriented to the respective application and requirements. In the initial phase existing building...

  2. Shielded cells transfer automation

    International Nuclear Information System (INIS)

    Nuclear waste from shielded cells is removed, packaged, and transferred manually in many nuclear facilities. To reduce radiation exposure to operators, technological advances in remote handling and automation were employed. An industrial robot and a specially designed end effector, access port, and sealing machine were used to remotely bag waste containers out of a glove box. The system is operated from a control panel outside the work area via television cameras

  3. LINAC control automation system

    International Nuclear Information System (INIS)

    A 7 MeV Electron Beam Linear Accelerator (LINAC) being used for pulse radiolysis experiments at RC and CDD, B.A.R.C. has been automated with a PLC based control panel designed and developed by Computer Division, B.A.R.C.. The control panel after power on switches ON various units in a pre-defined sequence and intervals on a single turn of START key from OFF to ON position. The control panel also generates various ramp signals in a pre-defined sequence and rate and steady values and feeds to the LINAC bringing it to the ready for experiment condition. Similarly on a single turn of STOP key from OFF to ON position, the panel ramps down the various signals in pre-defined manners and makes OFF the various units in predefined sequence and timing providing safety to the machine. The steady values for various signals are on line settable as and when required so. This automation system relieves the operator from fatigue of time consuming manual ramping up or down of various signals and running around in four rooms for switching ON or OFF the various units enhancing efficiency and safety. This also facilitates the user scientist to do start up and shutdown operation in the absence of skilled operators and thus adds flexibility for working up to extended timing. This unit has been working satisfactorily since August 2002. For extraordinary condition automation to manual or vice versa change over has been provided. (author)

  4. Fully Automated Molecular Biology Routines on a Plasmid-Based Functional Proteomic Workcell: Evaluation and Characterization of Yeast Strains Optimized for Growth on Xylose and Engineered to Express an Insecticidal Peptide

    Science.gov (United States)

    Optimization of genes important to production of fuel ethanol from hemicellulosic biomass for use in engineering improved commercial yeast strains is necessary to meet the United States' rapidly expanding need for ethanol. United States Department of Agriculture, Agricultural Research Service, Nati...

  5. Towards reduction of Paradigm coordination models

    Directory of Open Access Journals (Sweden)

    Suzana Andova

    2011-08-01

    Full Text Available The coordination modelling language Paradigm addresses collaboration between components in terms of dynamic constraints. Within a Paradigm model, component dynamics are consistently specified at a detailed and a global level of abstraction. To enable automated verification of Paradigm models, a translation of Paradigm into process algebra has been defined in previous work. In this paper we investigate, guided by a client-server example, reduction of Paradigm models based on a notion of global inertness. Representation of Paradigm models as process algebraic specifications helps to establish a property-preserving equivalence relation between the original and the reduced Paradigm model. Experiments indicate that in this way larger Paradigm models can be analyzed.

  6. An automated approach to magnetic divertor configuration design

    OpenAIRE

    Blommaert, Maarten; Dekeyser, Wouter; Baelmans, Martine; Gauger, Nicolas Ralph; Reiter, Detlev

    2015-01-01

    Automated methods based on optimization can greatly assist computational engineering design in many areas. In this paper an optimization approach to the magnetic design of a nuclear fusion reactor divertor is proposed and applied to a tokamak edge magnetic configuration in a first feasibility study. The approach is based on reduced models for magnetic field and plasma edge, which are integrated with a grid generator into one sensitivity code. The design objective chosen here for demonstrat...

  7. Conformal Fermi Coordinates

    CERN Document Server

    Dai, Liang; Schmidt, Fabian

    2015-01-01

    Fermi Normal Coordinates (FNC) are a useful frame for isolating the locally observable, physical effects of a long-wavelength spacetime perturbation. Their cosmological application, however, is hampered by the fact that they are only valid on scales much smaller than the horizon. We introduce a generalization that we call Conformal Fermi Coordinates (CFC). CFC preserve all the advantages of FNC, but in addition are valid outside the horizon. They allow us to calculate the coupling of long- and short-wavelength modes on all scales larger than the sound horizon of the cosmological fluid, starting from the epoch of inflation until today, by removing the complications of the second order Einstein equations to a large extent, and eliminating all gauge ambiguities. As an application, we present a calculation of the effect of long-wavelength tensor modes on small scale density fluctuations. We recover previous results, but clarify the physical content of the individual contributions in terms of locally measurable ef...

  8. Principles of Coordination Polymerisation

    Science.gov (United States)

    Kuran, Witold

    2001-11-01

    The first all-inclusive text covering coordination polymerisation, including important classes of non-hydrocarbon monomers. Charting the achievements and progress in the field, in terms of both basic and industrial research, this book offers a unified and complete overview of coordination polymerisation. Provides detailed description of the historical development of the subject Presents a unified view of catalysis, mechanisms, structures and utility Encourages learning through a step-by-step progression from basic to in-depth text Features end-of-chapter exercises to reinforce understanding Offers a full bibliography and comprehensive literature review Requisite reading for research students studying introductory and advanced courses in; polymer science, catalysis and polymerisation catalysis, and valuable reference for researchers and technicians in industry.

  9. Communication and interference coordination

    OpenAIRE

    Blasco-Serrano, Ricardo; Thobaben, Ragnar; Skoglund, Mikael

    2014-01-01

    We study the problem of controlling the interference created to an external observer by a communication processes. We model the interference in terms of its type (empirical distribution), and we analyze the consequences of placing constraints on the admissible type. Considering a single interfering link, we characterize the communication-interference capacity region. Then, we look at a scenario where the interference is jointly created by two users allowed to coordinate their actions prior to...

  10. Global coordination: weighted voting

    Directory of Open Access Journals (Sweden)

    Jan-Erik Lane

    2014-03-01

    Full Text Available In order to halt the depletion of global ecological capital, a number of different kinds of meetings between Governments of countries in the world has been scheduled. The need for global coordination of environmental policies has become ever more obvious, supported by more and more evidence of the running down of ecological capital. But there are no formal or binding arrangements in sight, as global environmental coordination suffers from high transaction costs (qualitative voting. The CO2 equivalent emissions, resulting in global warming, are driven by the unstoppable economic expansion in the global market economy, employing mainly fossil fuel generated energy, although at the same time lifting sharply the GDP per capita of several emerging countries. Only global environmental coordination on the successful model of the World Band and the IMF (quantitative voting can stem the rising emissions numbers and stop further environmental degradation. However, the system of weighted voting in the WB and the IMF must be reformed by reducing the excessive voting power disparities, for instance by reducing all member country votes by the cube root expression.

  11. Improving Project Manufacturing Coordination

    Directory of Open Access Journals (Sweden)

    Korpivaara Ville

    2014-09-01

    Full Text Available The objective of this research is to develop firms’ project manufacturing coordination. The development will be made by centralizing the manufacturing information flows in one system. To be able to centralize information, a deep user need assessment is required. After user needs have been identified, the existing system will be developed to match these needs. The theoretical background is achieved through exploring the literature of project manufacturing, development project success factors and different frameworks and tools for development project execution. The focus of this research is rather in customer need assessment than in system’s technical expertise. To ensure the deep understanding of customer needs this study is executed by action research method. As a result of this research the information system for project manufacturing coordination was developed to respond revealed needs of the stakeholders. The new system improves the quality of the manufacturing information, eliminates waste in manufacturing coordination processes and offers a better visibility to the project manufacturing. Hence it provides a solid base for the further development of project manufacturing.

  12. Engineering systems for novel automation methods

    International Nuclear Information System (INIS)

    Modern automation methods of Optimal Control, or for state reconstruction or parameter identification, require a discrete dynamic path model. This is established among others by time and location discretisation of a system of partial differential equations. The digital wave filter principle is paricularly suitable for this purpose, since the numeric stability of the derived algorithms can be easily guaranteed, and their robustness as to effects of word length limitations can be proven. This principle is also particularly attractive in that it can be excellently integrated into currently existing engineering systems for instrumentation and control. (orig./CB)

  13. M2m Automation: Matlab-To-Map Reduce Automation

    Directory of Open Access Journals (Sweden)

    Archana C S

    2014-06-01

    Full Text Available Abstract- MapReduce is a very popular parallel programming model for cloud computing platforms, and has become an effective method for processing massive data by using a cluster of computers. Program language -to-MapReduce Automator is a possible solution to help traditional programmers easily deploy an application to cloud systems through translating sequential codes to MapReduce codes.M2M Automation mainly focuses on automating numerical computations by using hadoop at the back end. M2M automates Hadoop, for faster execution of Matlab commands using MapReduce code.

  14. 基于Plant Simulation的大型游乐园区域协调与优化研究%A Research on Area Coordinating and Optimizing of Amusement Park by Using Plant Simulation

    Institute of Scientific and Technical Information of China (English)

    曹欢欢; 许志沛

    2016-01-01

    In order to maximize the customers' satisfaction and improve the operators' economic benefit, the layout plans and intercoordination of the typical amusement equipment and people's routes in the amusement park were analyzed and optimized. The people's routes and the working of amusement equipment were simulated in different customer proportion, different festivals and different amusement equipment proportion by plant simulation. The ways to optimizing the layouts of amusement equipment were explored and reasonable advices for similar parks were proposed.%为使游客达到最大满意度、提高运营经济效益,对典型的大型游乐园游乐设施和游乐线路的布局、规划、相互协调进行了分析和择优。并运用plant simulation模拟软件对不同客源比例、节假日和游乐设施配置游乐园运作状况进行仿真和研究,分析其功能区域间、游乐设施间协调的利弊,探讨优化途径,提出针对性的合理化建议,供同类游乐园规划与运营调整的借鉴与参考。

  15. 融合阶段满意度的动态供应链产销协同优化%Dynamic coordinated optimization of production-distribution under stage satisfaction degree

    Institute of Scientific and Technical Information of China (English)

    张雷; 孔艳岩

    2012-01-01

    将产品阶段满意度作为决策变量引入到供应链网络优化模型,针对易逝性电子产品生命周期阶段需求特征差异性引起的生产模式的不同,考虑阶段满意度的动态性,构建以单一产品整个生命周期内盈利最大化为目标函数的0-1混合整数优化模型;利用Lingo9.0软件设计算法程序求解.运用模型进行了实证分析,结果表明了该模型的合理性及有效性.%This paper introduced the stage satisfaction degree into the supply chain network optimization model as decision variable. With differences of production mode which caused by differences of stage demand characteristics throughout perishable electron product life cycle, considering dynamic character of stage satisfaction degree, it built 0-1 mixed integer optimization model with maximum profit throughout single product' s life-cycle as objective function. By making use of Iingo9.0 software , it designed programmed algorithm to solve the model. Finally, it analyzed the model by examples. The results show that the proposed model is rational and effective.

  16. SafetyNet: Streamlining and Automating QA in radiotherapy.

    Science.gov (United States)

    Hadley, Scott W; Kessler, Marc L; Litzenberg, Dale W; Lee, Choonik; Irrer, Jim; Chen, Xiaoping; Acosta, Eduardo; Weyburne, Grant; Keranen, Wayne; Lam, Kwok; Covington, Elizabeth; Younge, Kelly C; Matuszak, Martha M; Moran, Jean M

    2016-01-01

    Proper quality assurance (QA) of the radiotherapy process can be time-consuming and expensive. Many QA efforts, such as data export and import, are inefficient when done by humans. Additionally, humans can be unreliable, lose attention, and fail to complete critical steps that are required for smooth operations. In our group we have sought to break down the QA tasks into separate steps and to automate those steps that are better done by software running autonomously or at the instigation of a human. A team of medical physicists and software engineers worked together to identify opportunities to streamline and automate QA. Development efforts follow a formal cycle of writing software requirements, developing software, testing and commissioning. The clinical release process is separated into clinical evaluation testing, training, and finally clinical release. We have improved six processes related to QA and safety. Steps that were previously performed by humans have been automated or streamlined to increase first-time quality, reduce time spent by humans doing low-level tasks, and expedite QA tests. Much of the gains were had by automating data transfer, implementing computer-based checking and automation of systems with an event-driven framework. These coordinated efforts by software engineers and clinical physicists have resulted in speed improvements in expediting patient-sensitive QA tests. PMID:26894365

  17. Motion Planning Based Coordinated Control for Hydraulic Excavators

    Institute of Scientific and Technical Information of China (English)

    GAO Yingjie; JIN Yanchao; ZHANG Qin

    2009-01-01

    Hydraulic excavator is one type of the most widely applied construction equipment for various applications mainly because of its versatility and mobility. Among the tasks performed by a hydraulic excavator, repeatable level digging or flat surface finishing may take a large percentage. Using automated functions to perform such repeatable and tedious jobs will not only greatly increase the overall productivity but more importantly also improve the operation safety. For the purpose of investigating the technology without loss of generality, this research is conducted to create a coordinate control method for the boom, arm and bucket cylinders on a hydraulic excavator to perform accurate and effective works. On the basis of the kinematic analysis of the excavator linkage system, the tip trajectory of the end-effector can be determined in terms of three hydraulic cylinders coordinated motion with a visualized method. The coordination of those hydraulic cylinders is realized by controlling three electro-hydranlic proportional valves coordinately. Therefore,the complex control algorithm of a hydraulic excavator can be simplified into coordinated motion control of three individual systems.This coordinate control algorithm was validated on a wheeled hydraulic excavator, and the validation results indicated that this developed control method could satisfaetorily accomplish the auto-digging function for level digging or flat surface finishing.

  18. Automated Critical Peak Pricing Field Tests: Program Descriptionand Results

    Energy Technology Data Exchange (ETDEWEB)

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-04-06

    will respond to this form of automation for CPP. (4) Evaluate what type of DR shifting and shedding strategies can be automated. (5) Explore how automation of control strategies can increase participation rates and DR saving levels with CPP. (6) Identify optimal demand response control strategies. (7) Determine occupant and tenant response.

  19. Automated Assessment, Face to Face

    OpenAIRE

    Rizik M. H. Al-Sayyed; Amjad Hudaib; Muhannad AL-Shboul; Yousef Majdalawi; Mohammed Bataineh

    2010-01-01

    This research paper evaluates the usability of automated exams and compares them with the paper-and-pencil traditional ones. It presents the results of a detailed study conducted at The University of Jordan (UoJ) that comprised students from 15 faculties. A set of 613 students were asked about their opinions concerning automated exams; and their opinions were deeply analyzed. The results indicate that most students reported that they are satisfied with using automated exams but they have sugg...

  20. Automation System Products and Research

    OpenAIRE

    Rintala, Mikko; Sormunen, Jussi; Kuisma, Petri; Rahkala, Matti

    2014-01-01

    Automation systems are used in most buildings nowadays. In the past they were mainly used in industry to control and monitor critical systems. During the past few decades the automation systems have become more common and are used today from big industrial solutions to homes of private customers. With the growing need for ecologic and cost-efficient management systems, home and building automation systems are becoming a standard way of controlling lighting, ventilation, heating etc. Auto...

  1. Software Testing and Documenting Automation

    OpenAIRE

    Tsybin, Anton; Lyadova, Lyudmila

    2008-01-01

    This article describes some approaches to problem of testing and documenting automation in information systems with graphical user interface. Combination of data mining methods and theory of finite state machines is used for testing automation. Automated creation of software documentation is based on using metadata in documented system. Metadata is built on graph model. Described approaches improve performance and quality of testing and documenting processes.

  2. Embedded system for building automation

    OpenAIRE

    Rolih, Andrej

    2014-01-01

    Home automation is a fast developing field of computer science and electronics. Companies are offering many different products for home automation. Ranging anywhere from complete systems for building management and control, to simple smart lights that can be connected to the internet. These products offer the user greater living comfort and lower their expenses by reducing the energy usage. This thesis shows the development of a simple home automation system that focuses mainly on the enhance...

  3. Automation of a Versatile Crane (the LSMS) for Lunar Outpost Construction, Maintenance and Inspection

    Science.gov (United States)

    Doggett, William R.; Roithmayr, Carlos M.; Dorsey, John T.; Jones, Thomas C.; Shen, Haijun; Seywald, Hans; King, Bruce D.; Mikulas, Martin M., Jr.

    2009-01-01

    , greatly expanding the operational versatility of the LSMS. This paper develops the equations describing the forward and inverse relation between LSMS joint angles and Cartesian coordinates of the LSMS tip. These equations allow a variety of schemes to be used to maneuver the LSMS to optimize the maneuver. One such scheme will be described in detail that eliminates undesirable swinging of the payload at the conclusion of a maneuver, even when the payload is suspended from a passive rigid link. The swinging is undesirable when performing precision maneuvers, such as aligning an object for mating or positioning a camera. Use of the equations described here enables automated control of the LSMS greatly improving its operational versatility.

  4. Communication, leadership and coordination failure

    OpenAIRE

    Dong, Lu; Montero, Maria; Possajennikov, Alex

    2015-01-01

    Using experimental methods, this paper investigates the limits of communication and leadership in aiding group coordination in a minimum effort game. Choosing the highest effort is the payoff dominant Nash equilibrium in this game, and communication and leadership are expected to help in coordinating on such an equilibrium. We consider an environment in which the benefits of coordination are low compared to the cost of mis-coordination. In this environment, players converge to the most ineffi...

  5. Communication, Leadership and Coordination Failure

    OpenAIRE

    Lu Dong; Maria Montero; Alex Possajennikov

    2015-01-01

    Using experimental methods, this paper investigates the limits of communication and leadership in aiding group coordination in a minimum effort game. Choosing the highest effort is the payoff dominant Nash equilibrium in this game, and communication and leadership are expected to help in coordinating on such an equilibrium. We consider an environment in which the benefits of coordination are low compared to the cost of mis-coordination. In this environment, players converge to the most ineffi...

  6. World-wide distribution automation systems

    Energy Technology Data Exchange (ETDEWEB)

    Devaney, T.M.

    1994-12-31

    A worldwide power distribution automation system is outlined. Distribution automation is defined and the status of utility automation is discussed. Other topics discussed include a distribution management system, substation feeder, and customer functions, potential benefits, automation costs, planning and engineering considerations, automation trends, databases, system operation, computer modeling of system, and distribution management systems.

  7. AUTOMATED API TESTING APPROACH

    Directory of Open Access Journals (Sweden)

    SUNIL L. BANGARE

    2012-02-01

    Full Text Available Software testing is an investigation conducted to provide stakeholders with information about the quality of the product or service under test. With the help of software testing we can verify or validate the software product. Normally testing will be done after development of software but we can perform the software testing at the time of development process also. This paper will give you a brief introduction about Automated API Testing Tool. This tool of testing will reduce lots of headache after the whole development of software. It saves time as well as money. Such type of testing is helpful in the Industries & Colleges also.

  8. Automated radioimmunoassay of nicotine

    International Nuclear Information System (INIS)

    The authors have developed an automated nonequilibrium procedure for the radioimmunoassay of nicotine. The use of a unique iodinated nicotine derivative in this procedure gave a sensitivity of 10 μg/l for nicotine with a between-run precision of 7.4% and within-run precision of 6.0%. Nicotine levels of 60 to 67 μg/l were found in subjects 15 min after smoking one standard cigarette. The technique herein reported is a very rapid, and sensitive radioimmunoassay for nicotine and facilitates the determination of nicotine in smoking subjects during the actual process of smoking. (Auth.)

  9. Automated Motivic Analysis

    DEFF Research Database (Denmark)

    Lartillot, Olivier

    2016-01-01

    Motivic analysis provides very detailed understanding of musical composi- tions, but is also particularly difficult to formalize and systematize. A computational automation of the discovery of motivic patterns cannot be reduced to a mere extraction of all possible sequences of descriptions....... The systematic approach inexorably leads to a proliferation of redundant structures that needs to be addressed properly. Global filtering techniques cause a drastic elimination of interesting structures that damages the quality of the analysis. On the other hand, a selection of closed patterns allows...

  10. Mechatronic Design Automation

    DEFF Research Database (Denmark)

    Fan, Zhun

    This book proposes a novel design method that combines both genetic programming (GP) to automatically explore the open-ended design space and bond graphs (BG) to unify design representations of multi-domain Mechatronic systems. Results show that the method, formally called GPBG method, can...... successfully design analogue filters, vibration absorbers, micro-electro-mechanical systems, and vehicle suspension systems, all in an automatic or semi-automatic way. It also investigates the very important issue of co-designing plant-structures and dynamic controllers in automated design of Mechatronic...

  11. ASteCA - Automated Stellar Cluster Analysis

    CERN Document Server

    Perren, Gabriel I; Piatti, Andrés E

    2014-01-01

    We present ASteCA (Automated Stellar Cluster Analysis), a suit of tools designed to fully automatize the standard tests applied on stellar clusters to determine their basic parameters. The set of functions included in the code make use of positional and photometric data to obtain precise and objective values for a given cluster's center coordinates, radius, luminosity function and integrated color magnitude, as well as characterizing through a statistical estimator its probability of being a true physical cluster rather than a random overdensity of field stars. ASteCA incorporates a Bayesian field star decontamination algorithm capable of assigning membership probabilities using photometric data alone. An isochrone fitting process based on the generation of synthetic clusters from theoretical isochrones and selection of the best fit through a genetic algorithm is also present, which allows ASteCA to provide accurate estimates for a cluster's metallicity, age, extinction and distance values along with its unce...

  12. Rowing Crew Coordination Dynamics at Increasing Stroke Rates

    OpenAIRE

    Cuijpers, Laura S.; Zaal, Frank T.J.M.; De Poel, Harjo J.

    2015-01-01

    In rowing, perfect synchronisation is important for optimal performance of a crew. Remarkably, a recent study on ergometers demonstrated that antiphase crew coordination might be mechanically more efficient by reducing the power lost to within-cycle velocity fluctuations of the boat. However, coupled oscillator dynamics predict the stability of the coordination to decrease with increasing stroke rate, which in case of antiphase may eventually yield breakdowns to in-phase. Therefore, this stud...

  13. Scalable Coordinated Beamforming for Dense Wireless Cooperative Networks

    OpenAIRE

    Shi, Yuanming; Zhang, Jun; Letaief, Khaled B.

    2014-01-01

    To meet the ever growing demand for both high throughput and uniform coverage in future wireless networks, dense network deployment will be ubiquitous, for which co- operation among the access points is critical. Considering the computational complexity of designing coordinated beamformers for dense networks, low-complexity and suboptimal precoding strategies are often adopted. However, it is not clear how much performance loss will be caused. To enable optimal coordinated beamforming, in thi...

  14. Contribution to MPC coordination of distributed and power generation systems

    OpenAIRE

    Sandoval Moreno, John Anderson

    2014-01-01

    This thesis is mainly about coordination of distributed systems, with a special attention to multi-energy electric power generation ones. For purposes of optimality, as well as constraint enforcement, Model Predictive Control (MPC) is chosen as the underlying tool, while wind turbines, fuel cells, photovoltaic panels, and hydroelectric plants are mostly considered as power sources to be controlled and coordinated. In the first place, an application of MPC to a micro-grid system is proposed, i...

  15. Information-driven coordination: experimental results with heterogeneous individuals

    OpenAIRE

    Semeshenko, Viktoriya; Garapin, Alexis; Ruffieux, Bernard; Mirta B. Gordon

    2009-01-01

    We study experimentally a coordination game with N heterogeneous individuals under different information treatments. We explore the effects of information on the emergence of Pareto-efficient outcomes, by means of a gradual decrease of the information content provided to the players in successive experiments. We observe that successful coordination is possible with private information alone, although not on a Pareto-optimal equilibrium. Reinforcement-based learning models reproduce the qualit...

  16. Modeling Students' Units Coordinating Activity

    OpenAIRE

    Boyce, Steven James

    2014-01-01

    Primarily via constructivist teaching experiment methodology, units coordination (Steffe, 1992) has emerged as a useful construct for modeling students' psychological constructions pertaining to several mathematical domains, including counting sequences, whole number multiplicative conceptions, and fractions schemes. I describe how consideration of units coordination as a Piagetian (1970b) structure is useful for modeling units coordination across contexts. In this study, I extend teaching ...

  17. Data Assimilation by delay-coordinate nudging

    Science.gov (United States)

    Pazo, Diego; Lopez, Juan Manuel; Carrassi, Alberto

    2016-04-01

    A new nudging method for data assimilation, delay-coordinate nudging, is presented. Delay-coordinate nudging makes explicit use of present and past observations in the formulation of the forcing driving the model evolution at each time-step. Numerical experiments with a low order chaotic system show that the new method systematically outperforms standard nudging in different model and observational scenarios, also when using an un-optimized formulation of the delay-nudging coefficients. A connection between the optimal delay and the dominant Lyapunov exponent of the dynamics is found based on heuristic arguments and is confirmed by the numerical results, providing a guideline for the practical implementation of the algorithm. Delay-coordinate nudging preserves the easiness of implementation, the intuitive functioning and the reduced computational cost of the standard nudging, making it a potential alternative especially in the field of seasonal-to-decadal predictions with large Earth system models that limit the use of more sophisticated data assimilation procedures.

  18. Coordination Hydrothermal Interconnection Java-Bali Using Simulated Annealing

    Science.gov (United States)

    Wicaksono, B.; Abdullah, A. G.; Saputra, W. S.

    2016-04-01

    Hydrothermal power plant coordination aims to minimize the total cost of operating system that is represented by fuel costand constraints during optimization. To perform the optimization, there are several methods that can be used. Simulated Annealing (SA) is a method that can be used to solve the optimization problems. This method was inspired by annealing or cooling process in the manufacture of materials composed of crystals. The basic principle of hydrothermal power plant coordination includes the use of hydro power plants to support basic load while thermal power plants were used to support the remaining load. This study used two hydro power plant units and six thermal power plant units with 25 buses by calculating transmission losses and considering power limits in each power plant unit aided by MATLAB software during the process. Hydrothermal power plant coordination using simulated annealing plants showed that a total cost of generation for 24 hours is 13,288,508.01.

  19. Optimal Reorientation Of Spacecraft Orbit

    Directory of Open Access Journals (Sweden)

    Chelnokov Yuriy Nikolaevich

    2014-06-01

    Full Text Available The problem of optimal reorientation of the spacecraft orbit is considered. For solving the problem we used quaternion equations of motion written in rotating coordinate system. The use of quaternion variables makes this consideration more efficient. The problem of optimal control is solved on the basis of the maximum principle. An example of numerical solution of the problem is given.

  20. PDB_REDO: automated re-refinement of X-ray structure models in the PDB

    OpenAIRE

    Joosten, R.P.; Salzemann, J.; Bloch, V.; Stockinger, H.; Berglund, A; Blanchet, C.; Bongcam-Rudloff, E.; Combet, C.; Da Costa, A.L.; Deleage, G.; Diarena, M.; Fabbretti, R.; Fettahi, G.; Flegel, V.; Gisel, A.

    2009-01-01

    Structural biology, homology modelling and rational drug design require accurate three-dimensional macromolecular coordinates. However, the coordinates in the Protein Data Bank (PDB) have not all been obtained using the latest experimental and computational methods. In this study a method is presented for automated re-refinement of existing structure models in the PDB. A large-scale benchmark with 16 807 PDB entries showed that they can be improved in terms of fit to the deposited experimenta...

  1. Maneuver Automation Software

    Science.gov (United States)

    Uffelman, Hal; Goodson, Troy; Pellegrin, Michael; Stavert, Lynn; Burk, Thomas; Beach, David; Signorelli, Joel; Jones, Jeremy; Hahn, Yungsun; Attiyah, Ahlam; Illsley, Jeannette

    2009-01-01

    The Maneuver Automation Software (MAS) automates the process of generating commands for maneuvers to keep the spacecraft of the Cassini-Huygens mission on a predetermined prime mission trajectory. Before MAS became available, a team of approximately 10 members had to work about two weeks to design, test, and implement each maneuver in a process that involved running many maneuver-related application programs and then serially handing off data products to other parts of the team. MAS enables a three-member team to design, test, and implement a maneuver in about one-half hour after Navigation has process-tracking data. MAS accepts more than 60 parameters and 22 files as input directly from users. MAS consists of Practical Extraction and Reporting Language (PERL) scripts that link, sequence, and execute the maneuver- related application programs: "Pushing a single button" on a graphical user interface causes MAS to run navigation programs that design a maneuver; programs that create sequences of commands to execute the maneuver on the spacecraft; and a program that generates predictions about maneuver performance and generates reports and other files that enable users to quickly review and verify the maneuver design. MAS can also generate presentation materials, initiate electronic command request forms, and archive all data products for future reference.

  2. Automated Test Case Generation

    CERN Document Server

    CERN. Geneva

    2015-01-01

    I would like to present the concept of automated test case generation. I work on it as part of my PhD and I think it would be interesting also for other people. It is also the topic of a workshop paper that I am introducing in Paris. (abstract below) Please note that the talk itself would be more general and not about the specifics of my PhD, but about the broad field of Automated Test Case Generation. I would introduce the main approaches (combinatorial testing, symbolic execution, adaptive random testing) and their advantages and problems. (oracle problem, combinatorial explosion, ...) Abstract of the paper: Over the last decade code-based test case generation techniques such as combinatorial testing or dynamic symbolic execution have seen growing research popularity. Most algorithms and tool implementations are based on finding assignments for input parameter values in order to maximise the execution branch coverage. Only few of them consider dependencies from outside the Code Under Test’s scope such...

  3. Automation from pictures

    International Nuclear Information System (INIS)

    The state transition diagram (STD) model has been helpful in the design of real time software, especially with the emergence of graphical computer aided software engineering (CASE) tools. Nevertheless, the translation of the STD to real time code has in the past been primarily a manual task. At Los Alamos we have automated this process. The designer constructs the STD using a CASE tool (Cadre Teamwork) using a special notation for events and actions. A translator converts the STD into an intermediate state notation language (SNL), and this SNL is compiled directly into C code (a state program). Execution of the state program is driven by external events, allowing multiple state programs to effectively share the resources of the host processor. Since the design and the code are tightly integrated through the CASE tool, the design and code never diverge, and we avoid design obsolescence. Furthermore, the CASE tool automates the production of formal technical documents from the graphic description encapsulated by the CASE tool. (author)

  4. Automated digital magnetofluidics

    Energy Technology Data Exchange (ETDEWEB)

    Schneider, J; Garcia, A A; Marquez, M [Harrington Department of Bioengineering Arizona State University, Tempe AZ 85287-9709 (United States)], E-mail: tony.garcia@asu.edu

    2008-08-15

    Drops can be moved in complex patterns on superhydrophobic surfaces using a reconfigured computer-controlled x-y metrology stage with a high degree of accuracy, flexibility, and reconfigurability. The stage employs a DMC-4030 controller which has a RISC-based, clock multiplying processor with DSP functions, accepting encoder inputs up to 22 MHz, provides servo update rates as high as 32 kHz, and processes commands at rates as fast as 40 milliseconds. A 6.35 mm diameter cylindrical NdFeB magnet is translated by the stage causing water drops to move by the action of induced magnetization of coated iron microspheres that remain in the drop and are attracted to the rare earth magnet through digital magnetofluidics. Water drops are easily moved in complex patterns in automated digital magnetofluidics at an average speed of 2.8 cm/s over a superhydrophobic polyethylene surface created by solvent casting. With additional components, some potential uses for this automated microfluidic system include characterization of superhydrophobic surfaces, water quality analysis, and medical diagnostics.

  5. Automated Postediting of Documents

    CERN Document Server

    Knight, K; Knight, Kevin; Chander, Ishwar

    1994-01-01

    Large amounts of low- to medium-quality English texts are now being produced by machine translation (MT) systems, optical character readers (OCR), and non-native speakers of English. Most of this text must be postedited by hand before it sees the light of day. Improving text quality is tedious work, but its automation has not received much research attention. Anyone who has postedited a technical report or thesis written by a non-native speaker of English knows the potential of an automated postediting system. For the case of MT-generated text, we argue for the construction of postediting modules that are portable across MT systems, as an alternative to hardcoding improvements inside any one system. As an example, we have built a complete self-contained postediting module for the task of article selection (a, an, the) for English noun phrases. This is a notoriously difficult problem for Japanese-English MT. Our system contains over 200,000 rules derived automatically from online text resources. We report on l...

  6. A New Approach to an Automated Air Traffic Control

    Institute of Scientific and Technical Information of China (English)

    Patchev Dragoljub

    2014-01-01

    This paper identifies areas of improvements of the air traffic control system and proposes modification of the concept of automation by using available technologies. With the proposed modification, the current Europe wide en route network structure can be modified in order to make routes more optimal. For this new route network structure, a new concept of automation will be used to manage with the air traffic. The first identified area of improvement is implementation of automation process that will enable decentralization of the air traffic control functionality to each individual aircraft and this will be achieved through automated routing of the aircrafts and CD&R (conflict detection and resolution). The FMS (flight management system) at the aircraft will make decisions for the optimal flight route based on the sensor inputs, information on selection of the routes, next hope points and flight levels, all received by ADS-B (automatic dependant surveillance-broadcast). The second area is processing the information about the deviation from the optimal route as in flight plan due to a traffic management (vectoring, level change) and taking it into consideration when further actions are undertaken. For each action, a cost factor will be calculated from the fuel burned for that action. This factor will be used to select conflict resolution protocol. The proposed concept shall increase the capacity of the network, and enable the air traff~c more efficient and more environmentally friendly while maintaining safe separation.

  7. Coordination Processes in International Organisations

    DEFF Research Database (Denmark)

    Nedergaard, Peter

    2008-01-01

    The EU is not a member of the International Labour Organisation (ILO), but relatively elaborate EU coordination takes place anyway. This paper addresses two research questions: 1) How is it possible to evaluate the coordination of the EU in its specific observable configuration in the ILO?, and 2......) To what outcome does this coordination lead and why? Based on an analysis of EU coordination before and during the International Labour Conference in 2005, and on a comparison with coordination processes of the IMEC group, it is found that the Commission and the Presidency act as twin-agents vis...

  8. 23rd International Conference on Flexible Automation & Intelligent Manufacturing

    CERN Document Server

    2013-01-01

    The proceedings includes the set of revised papers from the 23rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2013). This conference aims to provide an international forum for the exchange of leading edge scientific knowledge and industrial experience regarding the development and integration of the various aspects of Flexible Automation and Intelligent Manufacturing Systems covering the complete life-cycle of a company’s Products and Processes. Contents will include topics such as: Product, Process and Factory Integrated Design, Manufacturing Technology and Intelligent Systems, Manufacturing Operations Management and Optimization and Manufacturing Networks and MicroFactories.

  9. Knowledge Automation How to Implement Decision Management in Business Processes

    CERN Document Server

    Fish, Alan N

    2012-01-01

    A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information-business knowledge

  10. Automated Alphabet Reduction for Protein Datasets

    Directory of Open Access Journals (Sweden)

    Valencia Alfonso

    2009-01-01

    Full Text Available Abstract Background We investigate automated and generic alphabet reduction techniques for protein structure prediction datasets. Reducing alphabet cardinality without losing key biochemical information opens the door to potentially faster machine learning, data mining and optimization applications in structural bioinformatics. Furthermore, reduced but informative alphabets often result in, e.g., more compact and human-friendly classification/clustering rules. In this paper we propose a robust and sophisticated alphabet reduction protocol based on mutual information and state-of-the-art optimization techniques. Results We applied this protocol to the prediction of two protein structural features: contact number and relative solvent accessibility. For both features we generated alphabets of two, three, four and five letters. The five-letter alphabets gave prediction accuracies statistically similar to that obtained using the full amino acid alphabet. Moreover, the automatically designed alphabets were compared against other reduced alphabets taken from the literature or human-designed, outperforming them. The differences between our alphabets and the alphabets taken from the literature were quantitatively analyzed. All the above process had been performed using a primary sequence representation of proteins. As a final experiment, we extrapolated the obtained five-letter alphabet to reduce a, much richer, protein representation based on evolutionary information for the prediction of the same two features. Again, the performance gap between the full representation and the reduced representation was small, showing that the results of our automated alphabet reduction protocol, even if they were obtained using a simple representation, are also able to capture the crucial information needed for state-of-the-art protein representations. Conclusion Our automated alphabet reduction protocol generates competent reduced alphabets tailored specifically for a

  11. 基于关键链优化的课程教学与实践教学契合 OA 绩效方法研究%OA Research on Coordination Methods of Course Teaching and Practical Teaching Based on Critical Chain Optimization

    Institute of Scientific and Technical Information of China (English)

    朱卫未; 黄阳; 李彦东

    2012-01-01

      作为高等教育体系中的两大主要模块,课程教学与实践教学在时间维度、逻辑维度和认知协同维度往往会存在矛盾,导致了教学质量的降低。本文从这三个维度出发,首先确定了具有普适性的教学绩效评估方法;随后根据多项目管理的关键链法提出了教学优化的具体步骤;最后以工商管理专业课程为实例根据上述教学绩效评估方法验证了教学优化的效果。%  As the two major modules in Higher Education System, course teaching and practical teaching are often in contradiction with each other from the dimensions of time, logic and cognition coordination, which lowers the quality of Higher Education. This paper probes into the universal teaching performance evaluation approach from the three dimensions, and concrete teaching optimization procedures using critical chain method are put forward as well. Illustrated by the case of Business Administration major, effect of the teaching optimization using the aforementioned performance e-valuation approach was verified.

  12. Testing automation of projects in telecommunication domain

    OpenAIRE

    Alexey, Veselov; Vsevolod, Kotlyarov

    2010-01-01

    This paper presents an integrated approach to testing automation of telecommunication projects along with proposals to automation of conformance testing. The underlying idea is to benefit from combining formal verification and testing automation techniques in order to improve product quality.

  13. Opening up Library Automation Software

    Science.gov (United States)

    Breeding, Marshall

    2009-01-01

    Throughout the history of library automation, the author has seen a steady advancement toward more open systems. In the early days of library automation, when proprietary systems dominated, the need for standards was paramount since other means of inter-operability and data exchange weren't possible. Today's focus on Application Programming…

  14. Automation, Performance and International Competition

    DEFF Research Database (Denmark)

    Kromann, Lene; Sørensen, Anders

    productivity growth than other firms. Moreover, automation improves the efficiency of all stages of the production process by reducing setup time, run time, and inspection time and increasing uptime and quantity produced per worker. The efficiency improvement varies by type of automation....

  15. Automated separation for heterogeneous immunoassays

    OpenAIRE

    Truchaud, A.; Barclay, J; Yvert, J. P.; Capolaghi, B.

    1991-01-01

    Beside general requirements for modern automated systems, immunoassay automation involves specific requirements as a separation step for heterogeneous immunoassays. Systems are designed according to the solid phase selected: dedicated or open robots for coated tubes and wells, systems nearly similar to chemistry analysers in the case of magnetic particles, and a completely original design for those using porous and film materials.

  16. Automated Methods Of Corrosion Measurements

    DEFF Research Database (Denmark)

    Bech-Nielsen, Gregers; Andersen, Jens Enevold Thaulov; Reeve, John Ch;

    1997-01-01

    The chapter describes the following automated measurements: Corrosion Measurements by Titration, Imaging Corrosion by Scanning Probe Microscopy, Critical Pitting Temperature and Application of the Electrochemical Hydrogen Permeation Cell.......The chapter describes the following automated measurements: Corrosion Measurements by Titration, Imaging Corrosion by Scanning Probe Microscopy, Critical Pitting Temperature and Application of the Electrochemical Hydrogen Permeation Cell....

  17. Price schedules coordination for electricity pool markets

    Science.gov (United States)

    Legbedji, Alexis Motto

    2002-04-01

    We consider the optimal coordination of a class of mathematical programs with equilibrium constraints, which is formally interpreted as a resource-allocation problem. Many decomposition techniques were proposed to circumvent the difficulty of solving large systems with limited computer resources. The considerable improvement in computer architecture has allowed the solution of large-scale problems with increasing speed. Consequently, interest in decomposition techniques has waned. Nonetheless, there is an important class of applications for which decomposition techniques will still be relevant, among others, distributed systems---the Internet, perhaps, being the most conspicuous example---and competitive economic systems. Conceptually, a competitive economic system is a collection of agents that have similar or different objectives while sharing the same system resources. In theory, constructing a large-scale mathematical program and solving it centrally, using currently available computing power can optimize such systems of agents. In practice, however, because agents are self-interested and not willing to reveal some sensitive corporate data, one cannot solve these kinds of coordination problems by simply maximizing the sum of agent's objective functions with respect to their constraints. An iterative price decomposition or Lagrangian dual method is considered best suited because it can operate with limited information. A price-directed strategy, however, can only work successfully when coordinating or equilibrium prices exist, which is not generally the case when a weak duality is unavoidable. Showing when such prices exist and how to compute them is the main subject of this thesis. Among our results, we show that, if the Lagrangian function of a primal program is additively separable, price schedules coordination may be attained. The prices are Lagrange multipliers, and are also the decision variables of a dual program. In addition, we propose a new form of

  18. A fully-automated software pipeline for integrating breast density and parenchymal texture analysis for digital mammograms: parameter optimization in a case-control breast cancer risk assessment study

    Science.gov (United States)

    Zheng, Yuanjie; Wang, Yan; Keller, Brad M.; Conant, Emily; Gee, James C.; Kontos, Despina

    2013-02-01

    Estimating a woman's risk of breast cancer is becoming increasingly important in clinical practice. Mammographic density, estimated as the percent of dense (PD) tissue area within the breast, has been shown to be a strong risk factor. Studies also support a relationship between mammographic texture and breast cancer risk. We have developed a fullyautomated software pipeline for computerized analysis of digital mammography parenchymal patterns by quantitatively measuring both breast density and texture properties. Our pipeline combines advanced computer algorithms of pattern recognition, computer vision, and machine learning and offers a standardized tool for breast cancer risk assessment studies. Different from many existing methods performing parenchymal texture analysis within specific breast subregions, our pipeline extracts texture descriptors for points on a spatial regular lattice and from a surrounding window of each lattice point, to characterize the local mammographic appearance throughout the whole breast. To demonstrate the utility of our pipeline, and optimize its parameters, we perform a case-control study by retrospectively analyzing a total of 472 digital mammography studies. Specifically, we investigate the window size, which is a lattice related parameter, and compare the performance of texture features to that of breast PD in classifying case-control status. Our results suggest that different window sizes may be optimal for raw (12.7mm2) versus vendor post-processed images (6.3mm2). We also show that the combination of PD and texture features outperforms PD alone. The improvement is significant (p=0.03) when raw images and window size of 12.7mm2 are used, having an ROC AUC of 0.66. The combination of PD and our texture features computed from post-processed images with a window size of 6.3 mm2 achieves an ROC AUC of 0.75.

  19. Optimization and Optimal Control

    CERN Document Server

    Chinchuluun, Altannar; Enkhbat, Rentsen; Tseveendorj, Ider

    2010-01-01

    During the last four decades there has been a remarkable development in optimization and optimal control. Due to its wide variety of applications, many scientists and researchers have paid attention to fields of optimization and optimal control. A huge number of new theoretical, algorithmic, and computational results have been observed in the last few years. This book gives the latest advances, and due to the rapid development of these fields, there are no other recent publications on the same topics. Key features: Provides a collection of selected contributions giving a state-of-the-art accou

  20. Network Coordinator Report

    Science.gov (United States)

    Himwich, Ed; Strand, Richard

    2013-01-01

    This report includes an assessment of the network performance in terms of lost observing time for the 2012 calendar year. Overall, the observing time loss was about 12.3%, which is in-line with previous years. A table of relative incidence of problems with various subsystems is presented. The most significant identified causes of loss were electronics rack problems (accounting for about 21.8% of losses), antenna reliability (18.1%), RFI (11.8%), and receiver problems (11.7%). About 14.2% of the losses occurred for unknown reasons. New antennas are under development in the USA, Germany, and Spain. There are plans for new telescopes in Norway and Sweden. Other activities of the Network Coordinator are summarized.

  1. Coordination using Implicit Communication

    CERN Document Server

    Cuff, Paul

    2011-01-01

    We explore a basic noise-free signaling scenario where coordination and communication are naturally merged. A random signal X_1,...,X_n is processed to produce a control signal or action sequence A_1,...,A_n, which is observed and further processed (without access to X_1,...,X_n) to produce a third sequence B_1,...,B_n. The object of interest is the set of empirical joint distributions p(x,a,b) that can be achieved in this setting. We show that H(A) >= I(X;A,B) is the necessary and sufficient condition for achieving p(x,a,b) when no causality constraints are enforced on the encoders. We also give results for various causality constraints. This setting sheds light on the embedding of digital information in analog signals, a concept that is exploited in digital watermarking, steganography, cooperative communication, and strategic play in team games such as bridge.

  2. Coordinating Group report

    International Nuclear Information System (INIS)

    In December 1992, western governors and four federal agencies established a Federal Advisory Committee to Develop On-site Innovative Technologies for Environmental Restoration and Waste Management (the DOIT Committee). The purpose of the Committee is to advise the federal government on ways to improve waste cleanup technology development and the cleanup of federal sites in the West. The Committee directed in January 1993 that information be collected from a wide range of potential stakeholders and that innovative technology candidate projects be identified, organized, set in motion, and evaluated to test new partnerships, regulatory approaches, and technologies which will lead to improve site cleanup. Five working groups were organized, one to develop broad project selection and evaluation criteria and four to focus on specific contaminant problems. A Coordinating Group comprised of working group spokesmen and federal and state representatives, was set up to plan and organize the routine functioning of these working groups. The working groups were charged with defining particular contaminant problems; identifying shortcomings in technology development, stakeholder involvement, regulatory review, and commercialization which impede the resolution of these problems; and identifying candidate sites or technologies which could serve as regional innovative demonstration projects to test new approaches to overcome the shortcomings. This report from the Coordinating Group to the DOIT Committee highlights the key findings and opportunities uncovered by these fact-finding working groups. It provides a basis from which recommendations from the DOIT Committee to the federal government can be made. It also includes observations from two public roundtables, one on commercialization and another on regulatory and institutional barriers impeding technology development and cleanup

  3. Coordinating distributed work: Exploring situated coordination with gaming-simulation

    OpenAIRE

    van Laere, J.

    2003-01-01

    Organizational work has become more and more distributed nowadays. Information and communication technologies (ICT) provide opportunities to improve coordination of distributed work, but in practice many organizations struggle with integrating new organizational structures, new work practices and ICT. In this dissertation we present a design approach for improving the coordination of distributed work. First we develop an integrated view on coordination, based on observations of current coordi...

  4. Automated Standard Hazard Tool

    Science.gov (United States)

    Stebler, Shane

    2014-01-01

    The current system used to generate standard hazard reports is considered cumbersome and iterative. This study defines a structure for this system's process in a clear, algorithmic way so that standard hazard reports and basic hazard analysis may be completed using a centralized, web-based computer application. To accomplish this task, a test server is used to host a prototype of the tool during development. The prototype is configured to easily integrate into NASA's current server systems with minimal alteration. Additionally, the tool is easily updated and provides NASA with a system that may grow to accommodate future requirements and possibly, different applications. Results of this project's success are outlined in positive, subjective reviews complete by payload providers and NASA Safety and Mission Assurance personnel. Ideally, this prototype will increase interest in the concept of standard hazard automation and lead to the full-scale production of a user-ready application.

  5. Expedition automated flow fluorometer

    Science.gov (United States)

    Krikun, V. A.; Salyuk, P. A.

    2015-11-01

    This paper describes an apparatus and operation of automated flow-through dual-channel fluorometer for studying the fluorescence of dissolved organic matter, and the fluorescence of phytoplankton cells with open and closed reaction centers in sea areas with oligotrophic and eutrophic water type. The step-by step excitation by two semiconductor lasers or two light-emitting diodes is realized in the current device. The excitation wavelengths are 405nm and 532nm in the default configuration. Excitation radiation of each light source can be changed with different durations, intensities and repetition rate. Registration of the fluorescence signal carried out by two photo-multipliers with different optical filters of 580-600 nm and 680-700 nm band pass diapasons. The configuration of excitation sources and spectral diapasons of registered radiation can be changed due to decided tasks.

  6. Robust automated knowledge capture.

    Energy Technology Data Exchange (ETDEWEB)

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  7. Berkeley automated supernova search

    International Nuclear Information System (INIS)

    The Berkeley automated supernova search employs a computer controlled 36-inch telescope and charge coupled device (CCD) detector to image 2500 galaxies per night. A dedicated minicomputer compares each galaxy image with stored reference data to identify supernovae in real time. The threshold for detection is m/sub v/ = 18.8. We plan to monitor roughly 500 galaxies in Virgo and closer every night, and an additional 6000 galaxies out to 70 Mpc on a three night cycle. This should yield very early detection of several supernovae per year for detailed study, and reliable premaximum detection of roughly 100 supernovae per year for statistical studies. The search should be operational in mid-1982

  8. Automated synthetic scene generation

    Science.gov (United States)

    Givens, Ryan N.

    Physics-based simulations generate synthetic imagery to help organizations anticipate system performance of proposed remote sensing systems. However, manually constructing synthetic scenes which are sophisticated enough to capture the complexity of real-world sites can take days to months depending on the size of the site and desired fidelity of the scene. This research, sponsored by the Air Force Research Laboratory's Sensors Directorate, successfully developed an automated approach to fuse high-resolution RGB imagery, lidar data, and hyperspectral imagery and then extract the necessary scene components. The method greatly reduces the time and money required to generate realistic synthetic scenes and developed new approaches to improve material identification using information from all three of the input datasets.

  9. Automated Electrostatics Environmental Chamber

    Science.gov (United States)

    Calle, Carlos; Lewis, Dean C.; Buchanan, Randy K.; Buchanan, Aubri

    2005-01-01

    The Mars Electrostatics Chamber (MEC) is an environmental chamber designed primarily to create atmospheric conditions like those at the surface of Mars to support experiments on electrostatic effects in the Martian environment. The chamber is equipped with a vacuum system, a cryogenic cooling system, an atmospheric-gas replenishing and analysis system, and a computerized control system that can be programmed by the user and that provides both automation and options for manual control. The control system can be set to maintain steady Mars-like conditions or to impose temperature and pressure variations of a Mars diurnal cycle at any given season and latitude. In addition, the MEC can be used in other areas of research because it can create steady or varying atmospheric conditions anywhere within the wide temperature, pressure, and composition ranges between the extremes of Mars-like and Earth-like conditions.

  10. [From automation to robotics].

    Science.gov (United States)

    1985-01-01

    The introduction of automation into the laboratory of biology seems to be unavoidable. But at which cost, if it is necessary to purchase a new machine for every new application? Fortunately the same image processing techniques, belonging to a theoretic framework called Mathematical Morphology, may be used in visual inspection tasks, both in car industry and in the biology lab. Since the market for industrial robotics applications is much higher than the market of biomedical applications, the price of image processing devices drops, and becomes sometimes less than the price of a complete microscope equipment. The power of the image processing methods of Mathematical Morphology will be illustrated by various examples, as automatic silver grain counting in autoradiography, determination of HLA genotype, electrophoretic gels analysis, automatic screening of cervical smears... Thus several heterogeneous applications may share the same image processing device, provided there is a separate and devoted work station for each of them. PMID:4091303

  11. Integrated Microreactors for Reaction Automation: New Approaches to Reaction Development

    Science.gov (United States)

    McMullen, Jonathan P.; Jensen, Klavs F.

    2010-07-01

    Applications of microsystems (microreactors) in continuous-flow chemistry have expanded rapidly over the past two decades, with numerous reports of higher conversions and yields compared to conventional batch benchtop equipment. Synthesis applications are enhanced by chemical information gained from integrating microreactor components with sensors, actuators, and automated fluid handling. Moreover, miniaturized systems allow experiments on well-defined samples at conditions not easily accessed by conventional means, such as reactions at high pressure and temperatures. The wealth of synthesis information that could potentially be acquired through use of microreactors integrated with physical sensors and analytical chemistry techniques for online reaction monitoring has not yet been well explored. The increased efficiency resulting from use of continuous-flow microreactor platforms to automate reaction screening and optimization encourages a shift from current batchwise chemical reaction development to this new approach. We review advances in this new area and provide application examples of online monitoring and automation.

  12. Quantifying, Visualizing, and Monitoring Lead Optimization.

    Science.gov (United States)

    Maynard, Andrew T; Roberts, Christopher D

    2016-05-12

    Although lead optimization (LO) is by definition a process, process-centric analysis and visualization of this important phase of pharmaceutical R&D has been lacking. Here we describe a simple statistical framework to quantify and visualize the progression of LO projects so that the vital signs of LO convergence can be monitored. We refer to the resulting visualizations generated by our methodology as the "LO telemetry" of a project. These visualizations can be automated to provide objective, holistic, and instantaneous analysis and communication of LO progression. This enhances the ability of project teams to more effectively drive LO process, while enabling management to better coordinate and prioritize LO projects. We present the telemetry of five LO projects comprising different biological targets and different project outcomes, including clinical compound selection, termination due to preclinical safety/tox, and termination due to lack of tractability. We demonstrate that LO progression is accurately captured by the telemetry. We also present metrics to quantify LO efficiency and tractability. PMID:26262898

  13. A cost-effective intelligent robotic system with dual-arm dexterous coordination and real-time vision

    Science.gov (United States)

    Marzwell, Neville I.; Chen, Alexander Y. K.

    1991-01-01

    Dexterous coordination of manipulators based on the use of redundant degrees of freedom, multiple sensors, and built-in robot intelligence represents a critical breakthrough in development of advanced manufacturing technology. A cost-effective approach for achieving this new generation of robotics has been made possible by the unprecedented growth of the latest microcomputer and network systems. The resulting flexible automation offers the opportunity to improve the product quality, increase the reliability of the manufacturing process, and augment the production procedures for optimizing the utilization of the robotic system. Moreover, the Advanced Robotic System (ARS) is modular in design and can be upgraded by closely following technological advancements as they occur in various fields. This approach to manufacturing automation enhances the financial justification and ensures the long-term profitability and most efficient implementation of robotic technology. The new system also addresses a broad spectrum of manufacturing demand and has the potential to address both complex jobs as well as highly labor-intensive tasks. The ARS prototype employs the decomposed optimization technique in spatial planning. This technique is implemented to the framework of the sensor-actuator network to establish the general-purpose geometric reasoning system. The development computer system is a multiple microcomputer network system, which provides the architecture for executing the modular network computing algorithms. The knowledge-based approach used in both the robot vision subsystem and the manipulation control subsystems results in the real-time image processing vision-based capability. The vision-based task environment analysis capability and the responsive motion capability are under the command of the local intelligence centers. An array of ultrasonic, proximity, and optoelectronic sensors is used for path planning. The ARS currently has 18 degrees of freedom made up by two

  14. Quantitative analysis of spider locomotion employing computer-automated video tracking

    DEFF Research Database (Denmark)

    Baatrup, E; Bayley, M

    1993-01-01

    The locomotor activity of adult specimens of the wolf spider Pardosa amentata was measured in an open-field setup, using computer-automated colour object video tracking. The x,y coordinates of the animal in the digitized image of the test arena were recorded three times per second during four...

  15. Exploring the Lived Experiences of Program Managers Regarding an Automated Logistics Environment

    Science.gov (United States)

    Allen, Ronald Timothy

    2014-01-01

    Automated Logistics Environment (ALE) is a new term used by Navy and aerospace industry executives to describe the aggregate of logistics-related information systems that support modern aircraft weapon systems. The development of logistics information systems is not always well coordinated among programs, often resulting in solutions that cannot…

  16. Extensible automated dispersive liquid–liquid microextraction

    Energy Technology Data Exchange (ETDEWEB)

    Li, Songqing; Hu, Lu; Chen, Ketao; Gao, Haixiang, E-mail: hxgao@cau.edu.cn

    2015-05-04

    Highlights: • An extensible automated dispersive liquid–liquid microextraction was developed. • A fully automatic SPE workstation with a modified operation program was used. • Ionic liquid-based in situ DLLME was used as model method. • SPE columns packed with nonwoven polypropylene fiber was used for phase separation. • The approach was applied to the determination of benzoylurea insecticides in water. - Abstract: In this study, a convenient and extensible automated ionic liquid-based in situ dispersive liquid–liquid microextraction (automated IL-based in situ DLLME) was developed. 1-Octyl-3-methylimidazolium bis[(trifluoromethane)sulfonyl]imide ([C{sub 8}MIM]NTf{sub 2}) is formed through the reaction between [C{sub 8}MIM]Cl and lithium bis[(trifluoromethane)sulfonyl]imide (LiNTf{sub 2}) to extract the analytes. Using a fully automatic SPE workstation, special SPE columns packed with nonwoven polypropylene (NWPP) fiber, and a modified operation program, the procedures of the IL-based in situ DLLME, including the collection of a water sample, injection of an ion exchange solvent, phase separation of the emulsified solution, elution of the retained extraction phase, and collection of the eluent into vials, can be performed automatically. The developed approach, coupled with high-performance liquid chromatography–diode array detection (HPLC–DAD), was successfully applied to the detection and concentration determination of benzoylurea (BU) insecticides in water samples. Parameters affecting the extraction performance were investigated and optimized. Under the optimized conditions, the proposed method achieved extraction recoveries of 80% to 89% for water samples. The limits of detection (LODs) of the method were in the range of 0.16–0.45 ng mL{sup −1}. The intra-column and inter-column relative standard deviations (RSDs) were <8.6%. Good linearity (r > 0.9986) was obtained over the calibration range from 2 to 500 ng mL{sup −1}. The proposed

  17. Extensible automated dispersive liquid–liquid microextraction

    International Nuclear Information System (INIS)

    Highlights: • An extensible automated dispersive liquid–liquid microextraction was developed. • A fully automatic SPE workstation with a modified operation program was used. • Ionic liquid-based in situ DLLME was used as model method. • SPE columns packed with nonwoven polypropylene fiber was used for phase separation. • The approach was applied to the determination of benzoylurea insecticides in water. - Abstract: In this study, a convenient and extensible automated ionic liquid-based in situ dispersive liquid–liquid microextraction (automated IL-based in situ DLLME) was developed. 1-Octyl-3-methylimidazolium bis[(trifluoromethane)sulfonyl]imide ([C8MIM]NTf2) is formed through the reaction between [C8MIM]Cl and lithium bis[(trifluoromethane)sulfonyl]imide (LiNTf2) to extract the analytes. Using a fully automatic SPE workstation, special SPE columns packed with nonwoven polypropylene (NWPP) fiber, and a modified operation program, the procedures of the IL-based in situ DLLME, including the collection of a water sample, injection of an ion exchange solvent, phase separation of the emulsified solution, elution of the retained extraction phase, and collection of the eluent into vials, can be performed automatically. The developed approach, coupled with high-performance liquid chromatography–diode array detection (HPLC–DAD), was successfully applied to the detection and concentration determination of benzoylurea (BU) insecticides in water samples. Parameters affecting the extraction performance were investigated and optimized. Under the optimized conditions, the proposed method achieved extraction recoveries of 80% to 89% for water samples. The limits of detection (LODs) of the method were in the range of 0.16–0.45 ng mL−1. The intra-column and inter-column relative standard deviations (RSDs) were <8.6%. Good linearity (r > 0.9986) was obtained over the calibration range from 2 to 500 ng mL−1. The proposed method opens a new avenue for automated

  18. 78 FR 73819 - Forest Resource Coordinating Committee

    Science.gov (United States)

    2013-12-09

    ... Forest Service Forest Resource Coordinating Committee AGENCY: Forest Service, USDA. ACTION: Notice of...-18, 2013 meeting of the Forest Resource Coordinating Committee due to the Government partial shutdown... INFORMATION CONTACT: Maya Solomon, Forest Resource Coordinating Committee Program Coordinator; by phone...

  19. Automating the radiographic NDT process

    International Nuclear Information System (INIS)

    Automation, the removal of the human element in inspection, has not been generally applied to film radiographic NDT. The justication for automating is not only productivity but also reliability of results. Film remains in the automated system of the future because of its extremely high image content, approximately 8 x 109 bits per 14 x 17. The equivalent to 2200 computer floppy discs. Parts handling systems and robotics applied for manufacturing and some NDT modalities, should now be applied to film radiographic NDT systems. Automatic film handling can be achieved with the daylight NDT film handling system. Automatic film processing is becoming the standard in industry and can be coupled to the daylight system. Robots offer the opportunity to automate fully the exposure step. Finally, computer aided interpretation appears on the horizon. A unit which laser scans a 14 x 17 (inch) film in 6 - 8 seconds can digitize film information for further manipulation and possible automatic interrogations (computer aided interpretation). The system called FDRS (for Film Digital Radiography System) is moving toward 50 micron (*approx* 16 lines/mm) resolution. This is believed to meet the need of the majority of image content needs. We expect the automated system to appear first in parts (modules) as certain operations are automated. The future will see it all come together in an automated film radiographic NDT system (author)

  20. Automating the radiographic ndt process

    International Nuclear Information System (INIS)

    Automation, the removal of the human element in inspection, has not been generally applied to film radiographic NDT. The justification for automating is not only productivity but also reliability of results. Film remains in the automated system of the future because of its extremely high image content, approximately 8 x 109 bits per 14 x 17. This is equivalent to 2200 computer floppy discs. Parts handling systems and robotics applied for manufacturing and some NDT modalities, should now be applied to film radiographic NDT systems. Automatic film handling can be achieved with the daylight NDT film handling system. Automatic film processing is becoming the standard in industry and can be coupled to the daylight system. Robots offer the opportunity to automate fully the exposure step. Finally, computer aided interpretation appears on the horizon. A unit which laser scans a 14 x 17 inch film in 6 - 8 seconds can digitize film information for further manipulation and possible automatic interrogations (computer aided interpretation). The system called FDRS (for Film Digital Radiography System) is moving toward 50 micron (16 lines/mm) resolution. This is believed to meet the need of the majority of image content needs. We expect the automated system to appear first in separate parts (modules) as certain operations are automated. The future will see it all come together in an automated film radiographic NDT system