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Sample records for monitoring optimization clare

  1. Limerick Clare Energy Plan

    DEFF Research Database (Denmark)

    Connolly, David; Mathiesen, Brian Vad; Dubuisson, Xavier

    2012-01-01

    The Limerick-Clare Region (LCR) has a long history of innovation within the energy sector in Ireland, which includes the construction of Ireland’s largest hydro plant, Ardnacrusha, in the late 1920’s as well as Ireland’s largest power plant, Moneypoint, in the 1980’s. Currently, energy systems wo...

  2. Limerick Clare Energy Plan

    DEFF Research Database (Denmark)

    Connolly, David; Mathiesen, Brian Vad; Dubuisson, Xavier

    2012-01-01

    Considering the security of supply concerns relating to the Irish energy system at present and the significant renewable energy resource available, many initiatives and policies have been developed to encourage the transition to renewable energy. These objectives are almost exclusively set...... at a national level, but they need to be supplemented by local plans also, since the most successful renewable energy projects to date are at a local level. For example, it is evident from the transition to renewable energy in Denmark, that 100% renewable energy systems can already be implemented at a local...... level. Hence, by initiating local action, national targets can be met and exceeded, while also creating a template for a wider transition to renewable energy. Accordingly, the primary goal of the project is: To develop a local energy plan for Limerick and Clare which is based on a quantified assessment...

  3. A designated centre for people with disabilities, operated by Brothers of Charity Services Clare, Clare

    LENUS (Irish Health Repository)

    Rock, Kathy

    2010-01-01

    ABSTRACT: INTRODUCTION: Hypercalcaemic hyperparathyroid crisis is a rare but life-threatening complication of primary hyperparathyroidism. Parathyroid carcinoma is a rare malignancy with an incidence of 0.5% to 4% of all reported cases of primary hyperparathyroidism. CASE PRESENTATION: We report the case of a 60-year-old Caucasian man with hypercalcaemic hyperparathyroid crisis associated with parathyroid carcinoma. He presented with a classic hypercalcaemic syndrome and his serum calcium and parathyroid hormone levels were at 4.65 mmol\\/L and 1743 ng\\/L, respectively. He initially presented with a two-week history of weakness and lethargy and a one-week history of vomiting, polyuria and polydipsia. An emergency left thyroid lobectomy and left lower parathyroidectomy were performed. There was a prompt decrease in his parathyroid hormone level immediately after surgery. Histology revealed that our patient had a 4-cm parathyroid carcinoma. CONCLUSION: In patients with parathyroid carcinoma, the optimal surgical treatment is en bloc resection with ipsilateral thyroid lobectomy and removal of any enlarged or abnormal lymph nodes. Surgery is the only curative treatment. In our patient, prompt surgical intervention proved successful. At six months the patient is well with no evidence of disease recurrence. This case highlights the importance of considering a hyperparathyroid storm in the context of a parathyroid carcinoma. Parathyroid carcinoma is a rare entity and our knowledge is mainly derived from case reports and retrospective studies. This case report increases awareness of this serious and life-threatening complication. This report also illustrates how prompt and appropriate management provides the best outcome for the patient.

  4. WiMAX network performance monitoring & optimization

    DEFF Research Database (Denmark)

    Zhang, Qi; Dam, H

    2008-01-01

    frequency reuse, capacity planning, proper network dimensioning, multi-class data services and so on. Furthermore, as a small operator we also want to reduce the demand for sophisticated technicians and man labour hours. To meet these critical demands, we design a generic integrated network performance......In this paper we present our WiMAX (worldwide interoperability for microwave access) network performance monitoring and optimization solution. As a new and small WiMAX network operator, there are many demanding issues that we have to deal with, such as limited available frequency resource, tight...... this integrated network performance monitoring and optimization system in our WiMAX networks. This integrated monitoring and optimization system has such good flexibility and scalability that individual function component can be used by other operators with special needs and more advanced function components can...

  5. Design Optimization of Structural Health Monitoring Systems

    Energy Technology Data Exchange (ETDEWEB)

    Flynn, Eric B. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2014-03-06

    Sensor networks drive decisions. Approach: Design networks to minimize the expected total cost (in a statistical sense, i.e. Bayes Risk) associated with making wrong decisions and with installing maintaining and running the sensor network itself. Search for optimal solutions using Monte-Carlo-Sampling-Adapted Genetic Algorithm. Applications include structural health monitoring and surveillance.

  6. Optimal Work Effort and Monitoring Cost

    Directory of Open Access Journals (Sweden)

    Tamara Todorova

    2012-12-01

    Full Text Available Using a simple job market equilibrium model we study the relationship between work effort and monitoring by firms. Some other determinants of work effort investigated include the educational level of the worker, the minimum or start-up salary as well as the economic conjuncture. As common logic dictates, optimal work effort increases with the amount of monitoring done by the employer. Quite contrary to common logic, though, we find that at the optimum employers observe and control good workers much more stringently and meticulously than poor workers. This is because under profit maximization most of the employer’s profit and surplus result from good workers and he risks losing a large amount of profit by not observing those. Managers monitor strictly more productive workers, fast learners and those starting at a higher autonomous level of monitoring, as those contribute more substantially to the firm’s profit.

  7. A Maturing Course of Modernism Pioneer——An Interpretation of Angel Clare

    Institute of Scientific and Technical Information of China (English)

    黄舒

    2007-01-01

    Tess of the D’urbervilles by Thomas Hardy has had a remarkably strong appeal for hundreds of thousands of readers for decades. Those who have read it always hold great sympathy for Tess and there have been many negative comments on the other hero – Angel Clare since this great works was created, most containing the idea that it is Angel that causes Tess’ whole tragedy. In my opinion, it is unfair to let Angel bear all the responsibilities. Virtually, to some extent, this novel is a description of the maturing course of modernism pioneer if a careful discussion of Angel Clare could be made.

  8. Optimization of Sensor Monitoring Strategies for Emissions

    Science.gov (United States)

    Klise, K. A.; Laird, C. D.; Downey, N.; Baker Hebert, L.; Blewitt, D.; Smith, G. R.

    2016-12-01

    Continuous or regularly scheduled monitoring has the potential to quickly identify changes in air quality. However, even with low-cost sensors, only a limited number of sensors can be placed to monitor airborne pollutants. The physical placement of these sensors and the sensor technology used can have a large impact on the performance of a monitoring strategy. Furthermore, sensors can be placed for different objectives, including maximum coverage, minimum time to detection or exposure, or to quantify emissions. Different objectives may require different monitoring strategies, which need to be evaluated by stakeholders before sensors are placed in the field. In this presentation, we outline methods to enhance ambient detection programs through optimal design of the monitoring strategy. These methods integrate atmospheric transport models with sensor characteristics, including fixed and mobile sensors, sensor cost and failure rate. The methods use site specific pre-computed scenarios which capture differences in meteorology, terrain, concentration averaging times, gas concentration, and emission characteristics. The pre-computed scenarios become input to a mixed-integer, stochastic programming problem that solves for sensor locations and types that maximize the effectiveness of the detection program. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

  9. Optimization of neutron monitor data correction algorithms

    Energy Technology Data Exchange (ETDEWEB)

    Paschalis, P. [Nuclear and Particle Physics Section, Physics Department, National and Kapodistrian University of Athens, Zografos 15783, Athens (Greece); Mavromichalaki, H., E-mail: emavromi@phys.uoa.gr [Nuclear and Particle Physics Section, Physics Department, National and Kapodistrian University of Athens, Zografos 15783, Athens (Greece)

    2013-06-21

    Nowadays, several neutron monitor stations worldwide, broadcast their cosmic ray data in real time, in order for the scientific community to be able to use these measurements immediately. In parallel, the development of the Neutron Monitor Database (NMDB; (http://www.nmdb.eu)) which collects all the high resolution real time measurements, allows the implementation of various applications and services by using these data instantly. Therefore, it is obvious that the need for high quality real time data is imperative. The quality of the data is handled by different correction algorithms that filter the real time measurements for undesired instrumental variations. In this work, an optimization of the Median Editor that is currently mainly applied to the neutron monitor data and the recently proposed ANN algorithm based on neural networks is presented. This optimization leads to the implementation of the Median Editor Plus and the ANN Plus algorithms. A direct comparison of these algorithms with the newly appeared Edge Editor is performed and the results are presented.

  10. Optimizing the spatial pattern of networks for monitoring radioactive releases

    NARCIS (Netherlands)

    Melles, S.J.; Heuvelink, G.B.M.; Twenhofel, C.J.W.; Dijk, van A.; Hiemstra, P.H.; Baume, O.P.; Stohlker, U.

    2011-01-01

    This study presents a method to optimize the sampling design of environmental monitoring networks in a multi-objective setting. We optimize the permanent network of radiation monitoring stations in the Netherlands and parts of Germany as an example. The optimization method proposed combines

  11. Optimizing the spatial pattern of networks for monitoring radioactive releases

    NARCIS (Netherlands)

    Melles, S.J.; Heuvelink, G.B.M.; Twenhofel, C.J.W.; Dijk, van A.; Hiemstra, P.H.; Baume, O.P.; Stohlker, U.

    2011-01-01

    This study presents a method to optimize the sampling design of environmental monitoring networks in a multi-objective setting. We optimize the permanent network of radiation monitoring stations in the Netherlands and parts of Germany as an example. The optimization method proposed combines minimiza

  12. Optimizing Groundwater Monitoring Networks Using Integrated Statistical and Geostatistical Approaches

    Directory of Open Access Journals (Sweden)

    Jay Krishna Thakur

    2015-08-01

    Full Text Available The aim of this work is to investigate new approaches using methods based on statistics and geo-statistics for spatio-temporal optimization of groundwater monitoring networks. The formulated and integrated methods were tested with the groundwater quality data set of Bitterfeld/Wolfen, Germany. Spatially, the monitoring network was optimized using geo-statistical methods. Temporal optimization of the monitoring network was carried out using Sen’s method (1968. For geostatistical network optimization, a geostatistical spatio-temporal algorithm was used to identify redundant wells in 2- and 2.5-D Quaternary and Tertiary aquifers. Influences of interpolation block width, dimension, contaminant association, groundwater flow direction and aquifer homogeneity on statistical and geostatistical methods for monitoring network optimization were analysed. The integrated approach shows 37% and 28% redundancies in the monitoring network in Quaternary aquifer and Tertiary aquifer respectively. The geostatistical method also recommends 41 and 22 new monitoring wells in the Quaternary and Tertiary aquifers respectively. In temporal optimization, an overall optimized sampling interval was recommended in terms of lower quartile (238 days, median quartile (317 days and upper quartile (401 days in the research area of Bitterfeld/Wolfen. Demonstrated methods for improving groundwater monitoring network can be used in real monitoring network optimization with due consideration given to influencing factors.

  13. Optimal Joint Liability Lending and with Costly Peer Monitoring

    NARCIS (Netherlands)

    Carli, F.; Uras, R.B.

    2014-01-01

    This paper characterizes an optimal group loan contract with costly peer monitoring. Using a fairly standard moral hazard framework, we show that the optimal group lending contract could exhibit a joint-liability scheme. However, optimality of joint-liability requires the involvement of a group lead

  14. Autonomous tools for Grid management, monitoring and optimization

    CERN Document Server

    Wislicki, Wojciech

    2007-01-01

    We outline design and lines of development of autonomous tools for the computing Grid management, monitoring and optimization. The management is proposed to be based on the notion of utility. Grid optimization is considered to be application-oriented. A generic Grid simulator is proposed as an optimization tool for Grid structure and functionality.

  15. OPTIMIZATION METHODS FOR HYDROECOLOGICAL MONITORING SYSTEMS

    OpenAIRE

    Inna Pivovarova

    2016-01-01

    The paper describes current approaches to the rational distribution of monitoring stations. A short review and the organization of the system of hydro-geological observations in different countries are presented. On the basis of real data we propose a solution to the problem of how to calculate the average area per one hydrological station, which is the main indicator of the efficiency and performance of the monitoring system in general. We conclude that a comprehensive approach to the monito...

  16. OPTIMIZATION METHODS FOR HYDROECOLOGICAL MONITORING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Inna Pivovarova

    2016-09-01

    Full Text Available The paper describes current approaches to the rational distribution of monitoring stations. A short review and the organization of the system of hydro-geological observations in different countries are presented. On the basis of real data we propose a solution to the problem of how to calculate the average area per one hydrological station, which is the main indicator of the efficiency and performance of the monitoring system in general. We conclude that a comprehensive approach to the monitoring system organization is important, because only hydrometric and hydrochemical activities coordinated in time provide possibilities needed to analyse the underline causes of the observed pollutants content dynamics in water bodies in the long term.

  17. Enhanced Multi-Objective Optimization of Groundwater Monitoring Networks

    DEFF Research Database (Denmark)

    Bode, Felix; Binning, Philip John; Nowak, Wolfgang

    Drinking-water well catchments include many sources for potential contaminations like gas stations or agriculture. Finding optimal positions of monitoring wells for such purposes is challenging because there are various parameters (and their uncertainties) that influence the reliability and optim...

  18. Signal processing for solar array monitoring, fault detection, and optimization

    CERN Document Server

    Braun, Henry; Spanias, Andreas

    2012-01-01

    Although the solar energy industry has experienced rapid growth recently, high-level management of photovoltaic (PV) arrays has remained an open problem. As sensing and monitoring technology continues to improve, there is an opportunity to deploy sensors in PV arrays in order to improve their management. In this book, we examine the potential role of sensing and monitoring technology in a PV context, focusing on the areas of fault detection, topology optimization, and performance evaluation/data visualization. First, several types of commonly occurring PV array faults are considered and detection algorithms are described. Next, the potential for dynamic optimization of an array's topology is discussed, with a focus on mitigation of fault conditions and optimization of power output under non-fault conditions. Finally, monitoring system design considerations such as type and accuracy of measurements, sampling rate, and communication protocols are considered. It is our hope that the benefits of monitoring presen...

  19. Use Alkalinity Monitoring to Optimize Bioreactor Performance.

    Science.gov (United States)

    Jones, Christopher S; Kult, Keegan J

    2016-05-01

    In recent years, the agricultural community has reduced flow of nitrogen from farmed landscapes to stream networks through the use of woodchip denitrification bioreactors. Although deployment of this practice is becoming more common to treat high-nitrate water from agricultural drainage pipes, information about bioreactor management strategies is sparse. This study focuses on the use of water monitoring, and especially the use of alkalinity monitoring, in five Iowa woodchip bioreactors to provide insights into and to help manage bioreactor chemistry in ways that will produce desirable outcomes. Results reported here for the five bioreactors show average annual nitrate load reductions between 50 and 80%, which is acceptable according to established practice standards. Alkalinity data, however, imply that nitrous oxide formation may have regularly occurred in at least three of the bioreactors that are considered to be closed systems. Nitrous oxide measurements of influent and effluent water provide evidence that alkalinity may be an important indicator of bioreactor performance. Bioreactor chemistry can be managed by manipulation of water throughput in ways that produce adequate nitrate removal while preventing undesirable side effects. We conclude that (i) water should be retained for longer periods of time in bioreactors where nitrous oxide formation is indicated, (ii) measuring only nitrate and sulfate concentrations is insufficient for proper bioreactor operation, and (iii) alkalinity monitoring should be implemented into protocols for bioreactor management.

  20. Local Rural Product as a "Relic" Spatial Strategy in Globalised Rural Spaces: Evidence from County Clare (Ireland)

    Science.gov (United States)

    Wilson, Geoff A.; Whitehead, Ian

    2012-01-01

    Using a case study from County Clare (Ireland), this study critically analyses notions of "local" rural production. It investigates where rural businesses source the different components of their products and how these interrelate with the locality, how local businesses use the notion of "local" in their product branding, and…

  1. Local Rural Product as a "Relic" Spatial Strategy in Globalised Rural Spaces: Evidence from County Clare (Ireland)

    Science.gov (United States)

    Wilson, Geoff A.; Whitehead, Ian

    2012-01-01

    Using a case study from County Clare (Ireland), this study critically analyses notions of "local" rural production. It investigates where rural businesses source the different components of their products and how these interrelate with the locality, how local businesses use the notion of "local" in their product branding, and…

  2. FREQUENCY OPTIMIZATION FOR SECURITY MONITORING OF COMPUTER SYSTEMS

    Directory of Open Access Journals (Sweden)

    Вogatyrev V.A.

    2015-03-01

    Full Text Available The subject areas of the proposed research are monitoring facilities for protection of computer systems exposed to destructive attacks of accidental and malicious nature. The interval optimization model of test monitoring for the detection of hazardous states of security breach caused by destructive attacks is proposed. Optimization function is to maximize profit in case of requests servicing in conditions of uncertainty, and intensity variance of the destructive attacks including penalties when servicing of requests is in dangerous conditions. The vector task of system availability maximization and minimization of probabilities for its downtime and dangerous conditions is proposed to be reduced to the scalar optimization problem based on the criterion of profit maximization from information services (service of requests that integrates these private criteria. Optimization variants are considered with the definition of the averaged periodic activities of monitoring and adapting of these periods to the changes in the intensity of destructive attacks. Adaptation efficiency of the monitoring frequency to changes in the activity of the destructive attacks is shown. The proposed solutions can find their application for optimization of test monitoring intervals to detect hazardous conditions of security breach that makes it possible to increase the system effectiveness, and specifically, to maximize the expected profit from information services.

  3. Accepting the Grotesque Body: Bildungs by Clare Boylan and Eilis Ni Dhuibhne

    Directory of Open Access Journals (Sweden)

    Jeanette Roberts Shumaker

    2006-03-01

    Full Text Available In Clare Boylan’s fantasy novel Black Baby  (1988 and Eilis Ni Dhuibhne’s realistic novel The Dancers Dancing  (1999, female protagonists fear those who symbolize the grotesqueness of their own overweight bodies; hence, these heroines reject marginalized women, either black or retarded, and Irish peasants. Through their heroines’ struggles to accept both themselves and marginalized others, Ni Dhuibhne and Boylan deconstruct the psychology of self-hatred, whether it occurs in teenage or elderly women. Bakhtin’s ideas about the grotesque body, along with Stallybrass and White’s connection of the grotesque to prejudice, and Kristeva’s theory of abjection illuminate the conflicts over self-acceptance that Boylan’s and Ni Dhuibhne’s heroines face.

  4. Optimal estuarine sediment monitoring network design with simulated annealing.

    Science.gov (United States)

    Nunes, L M; Caeiro, S; Cunha, M C; Ribeiro, L

    2006-02-01

    An objective function based on geostatistical variance reduction, constrained to the reproduction of the probability distribution functions of selected physical and chemical sediment variables, is applied to the selection of the best set of compliance monitoring stations in the Sado river estuary in Portugal. These stations were to be selected from a large set of sampling stations from a prior field campaign. Simulated annealing was chosen to solve the optimisation function model. Both the combinatorial problem structure and the resulting candidate sediment monitoring networks are discussed, and the optimal dimension and spatial distribution are proposed. An optimal network of sixty stations was obtained from an original 153-station sampling campaign.

  5. Optimization of Routine Monitoring of Workers Exposed to Plutonium Aerosols.

    Science.gov (United States)

    Davesne, Estelle; Quesne, Benoit; De Vita, Antoine; Chojnacki, Eric; Blanchardon, Eric; Franck, Didier

    2016-10-01

    In case of incidental confinement failure, mixed oxide (MOX) fuel preparation may expose workers to plutonium aerosols. Due to its potential toxicity, occupational exposure to plutonium compounds should be kept as low as reasonably achievable. To ensure the absence of significant intake of radionuclides, workers at risk of internal contamination are monitored by periodic bioassay planned in a routine monitoring programme. From bioassay results, internal dose may be estimated. However, accurate dose calculation relies on known exposure conditions, which are rarely available when the exposure is demonstrated by routine monitoring only. Therefore, internal dose calculation is subject to uncertainty from unknown exposure conditions and from activity measurement variability. The present study calculates the minimum detectable dose (MDD) for a routine monitoring programme by considering all plausible conditions of exposure and measurement uncertainty. The MDD evaluates the monitoring quality and can be used for optimization. Here, MDDs were calculated for the monitoring of workers preparing MOX fuel. Uncertain parameters were modelled by probability distributions defined according to information provided by experts of routine monitoring, of workplace radiological protection and of bioassay analysis. Results show that the current monitoring is well adapted to potential exposure. A sensitivity study of MDD highlights high dependence on exposure condition modelling. Integrating all expert knowledge is therefore crucial to obtain reliable MDD estimates, stressing the value of a holistic approach to worker monitoring.

  6. Interpolation and optimal monitoring in space and time

    NARCIS (Netherlands)

    Boer, E.P.J.

    2002-01-01

    This thesis shows how statistics can be used for both analysing data and for determining the (optimal) design for collecting data in environmental research. An important question is often where to place monitoring stations to meet the objective of measuring as good as possible. In thi

  7. Organic maturation levels, thermal history and hydrocarbon source rock potential of the Namurian rocks of the Clare Basin, Ireland

    Energy Technology Data Exchange (ETDEWEB)

    Goodhue, Robbie; Clayton, Geoffrey [Trinity Coll., Dept. of Geology, Dublin (Ireland)

    1999-11-01

    Vitrinite reflectance data from two inland cored boreholes confirm high maturation levels throughout the onshore part of the Irish Clare Basin and suggest erosion of 2 to 4 km of late Carboniferous cover and elevated palaeogeothermal gradients in the Carboniferous section. The observed maturation gradients are fully consistent with the published hypothesis of a late Carboniferous/Permian 'superplume' beneath Pangaea but local vertical reversals in gradients also suggest a complex thermal regime probably involving advective heating. The uppermost Visean--lower Namurian Clare Shale is laterally extensive and up to 300 m thick. Although this unit is post-mature, TOC values of up to 15% suggest that it could have considerable hydrocarbon source rock potential in any less mature offshore parts of the basin. (Author)

  8. Optimized, budget-constrained monitoring well placement using DREAM

    Energy Technology Data Exchange (ETDEWEB)

    Yonkofski, Catherine MR; Davidson, Casie L.; Rodriguez, Luke R.; Porter, Ellen A.; Bender, Sadie R.; Brown, Christopher F.

    2017-07-01

    Defining the ideal suite of monitoring technologies to be deployed at a carbon capture and storage (CCS) site presents a challenge to project developers, financers, insurers, regulators and other stakeholders. The monitoring, verification, and accounting (MVA) toolkit offers a suite of technologies to monitor an extensive range of parameters across a wide span of spatial and temporal resolutions, each with their own degree of sensitivity to changes in the parameter being monitored. Understanding how best to optimize MVA budgets to minimize the time to leak detection could help to address issues around project risks, and in turn help support broad CCS deployment. This paper presents a case study demonstrating an application of the Designs for Risk Evaluation and Management (DREAM) tool using an ensemble of CO2 leakage scenarios taken from a previous study on leakage impacts to groundwater. Impacts were assessed and monitored as a function of pH, total dissolved solids (TDS), and trace metal concentrations of arsenic (As), cadmium (Cd), chromium (Cr), and lead (Pb). Using output from the previous study, DREAM was used to optimize monitoring system designs based on variable sampling locations and parameters. The algorithm requires the user to define a finite budget to limit the number of monitoring wells and technologies deployed, and then iterates well placement and sensor type and location until it converges on the configuration with the lowest time to first detection of the leak averaged across all scenarios. To facilitate an understanding of the optimal number of sampling wells, DREAM was used to assess the marginal utility of additional sampling locations. Based on assumptions about monitoring costs and replacement costs of degraded water, the incremental cost of each additional sampling well can be compared against its marginal value in terms of avoided aquifer degradation. Applying this method, DREAM identified the most cost-effective ensemble with 14

  9. Optimized Radar Remote Sensing for Levee Health Monitoring

    Science.gov (United States)

    Jones, Cathleen E.

    2013-01-01

    Radar remote sensing offers great potential for high resolution monitoring of ground surface changes over large areas at one time to detect movement on and near levees and for location of seepage through levees. Our NASA-funded projects to monitor levees in the Sacramento Delta and the Mississippi River have developed and demonstrated methods to use radar remote sensing to measure quantities relevant to levee health and of great value to emergency response. The DHS-funded project will enable us is to define how to optimally monitor levees in this new way and set the stage for transition to using satellite SAR (synthetic aperture radar) imaging for better temporal and spatial coverage at lower cost to the end users.

  10. Optimizing bulk milk dioxin monitoring based on costs and effectiveness.

    Science.gov (United States)

    Lascano-Alcoser, V H; Velthuis, A G J; van der Fels-Klerx, H J; Hoogenboom, L A P; Oude Lansink, A G J M

    2013-07-01

    Dioxins are environmental pollutants, potentially present in milk products, which have negative consequences for human health and for the firms and farms involved in the dairy chain. Dioxin monitoring in feed and food has been implemented to detect their presence and estimate their levels in food chains. However, the costs and effectiveness of such programs have not been evaluated. In this study, the costs and effectiveness of bulk milk dioxin monitoring in milk trucks were estimated to optimize the sampling and pooling monitoring strategies aimed at detecting at least 1 contaminated dairy farm out of 20,000 at a target dioxin concentration level. Incidents of different proportions, in terms of the number of contaminated farms, and concentrations were simulated. A combined testing strategy, consisting of screening and confirmatory methods, was assumed as well as testing of pooled samples. Two optimization models were built using linear programming. The first model aimed to minimize monitoring costs subject to a minimum required effectiveness of finding an incident, whereas the second model aimed to maximize the effectiveness for a given monitoring budget. Our results show that a high level of effectiveness is possible, but at high costs. Given specific assumptions, monitoring with 95% effectiveness to detect an incident of 1 contaminated farm at a dioxin concentration of 2 pg of toxic equivalents/g of fat [European Commission's (EC) action level] costs €2.6 million per month. At the same level of effectiveness, a 73% cost reduction is possible when aiming to detect an incident where 2 farms are contaminated at a dioxin concentration of 3 pg of toxic equivalents/g of fat (EC maximum level). With a fixed budget of €40,000 per month, the probability of detecting an incident with a single contaminated farm at a dioxin concentration equal to the EC action level is 4.4%. This probability almost doubled (8.0%) when aiming to detect the same incident but with a dioxin

  11. Applied research of correspondence analysis method in waste tailings reservoir heavy metal pollution monitoring points optimization

    Institute of Scientific and Technical Information of China (English)

    WANG Cong-lu; WU Chao; LI Zi-jun; XUE Sheng-guo

    2010-01-01

    In order to optimize monitoring points and monitoring factor, the relationship between pollutants and soil sample were established by correspondence analysis. The study results show that the reflecting monitoring points and monitoring factors in the graphic on the same factor axis can clearly express the intrinsic link between pollutants and monitoring points and distribution characteristics. To determine the main monitoring point and the main monitoring indicators can reduce and optimize the number of monitoring points under the premise of ensuring the typical and representative of monitoring data.Using the correlation of pollutants can reduce the number of monitoring indicators and improve the effectiveness of data collection.

  12. Optimization of remediation strategies using vadose zone monitoring systems

    Science.gov (United States)

    Dahan, Ofer

    2016-04-01

    In-situ bio-remediation of the vadose zone depends mainly on the ability to change the subsurface hydrological, physical and chemical conditions in order to enable development of specific, indigenous, pollutants degrading bacteria. As such the remediation efficiency is much dependent on the ability to implement optimal hydraulic and chemical conditions in deep sections of the vadose zone. These conditions are usually determined in laboratory experiments where parameters such as the chemical composition of the soil water solution, redox potential and water content of the sediment are fully controlled. Usually, implementation of desired optimal degradation conditions in deep vadose zone at full scale field setups is achieved through infiltration of water enriched with chemical additives on the land surface. It is assumed that deep percolation into the vadose zone would create chemical conditions that promote biodegradation of specific compounds. However, application of water with specific chemical conditions near land surface dose not necessarily results in promoting of desired chemical and hydraulic conditions in deep sections of the vadose zone. A vadose-zone monitoring system (VMS) that was recently developed allows continuous monitoring of the hydrological and chemical properties of deep sections of the unsaturated zone. The VMS includes flexible time-domain reflectometry (FTDR) probes which allow continuous monitoring of the temporal variation of the vadose zone water content, and vadose-zone sampling ports (VSPs) which are designed to allow frequent sampling of the sediment pore-water and gas at multiple depths. Implementation of the vadose zone monitoring system in sites that undergoes active remediation provides real time information on the actual chemical and hydrological conditions in the vadose zone as the remediation process progresses. Up-to-date the system has been successfully implemented in several studies on water flow and contaminant transport in

  13. Velocity model optimization for surface microseismic monitoring via amplitude stacking

    Science.gov (United States)

    Jiang, Haiyu; Wang, Zhongren; Zeng, Xiaoxian; Lü, Hao; Zhou, Xiaohua; Chen, Zubin

    2016-12-01

    A usable velocity model in microseismic projects plays a crucial role in achieving statistically reliable microseismic event locations. Existing methods for velocity model optimization rely mainly on picking arrival times at individual receivers. However, for microseismic monitoring with surface stations, seismograms of perforation shots have such low signal-to-noise ratios (S/N) that they do not yield sufficiently reliable picks. In this study, we develop a framework for constructing a 1-D flat-layered a priori velocity model using a non-linear optimization technique based on amplitude stacking. The energy focusing of the perforation shot is improved thanks to very fast simulated annealing (VFSA), and the accuracies of shot relocations are used to evaluate whether the resultant velocity model can be used for microseismic event location. Our method also includes a conventional migration-based location technique that utilizes successive grid subdivisions to improve computational efficiency and source location accuracy. Because unreasonable a priori velocity model information and interference due to additive noise are the major contributors to inaccuracies in perforation shot locations, we use velocity model optimization as a compensation scheme. Using synthetic tests, we show that accurate locations of perforation shots can be recovered to within 2 m, even with pre-stack S/N ratios as low as 0.1 at individual receivers. By applying the technique to a coal-bed gas reservoir in Western China, we demonstrate that perforation shot location can be recovered to within the tolerance of the well tip location.

  14. Optimization of floodplain monitoring sensors through an entropy approach

    Science.gov (United States)

    Ridolfi, E.; Yan, K.; Alfonso, L.; Di Baldassarre, G.; Napolitano, F.; Russo, F.; Bates, P. D.

    2012-04-01

    To support the decision making processes of flood risk management and long term floodplain planning, a significant issue is the availability of data to build appropriate and reliable models. Often the required data for model building, calibration and validation are not sufficient or available. A unique opportunity is offered nowadays by the globally available data, which can be freely downloaded from internet. However, there remains the question of what is the real potential of those global remote sensing data, characterized by different accuracies, for global inundation monitoring and how to integrate them with inundation models. In order to monitor a reach of the River Dee (UK), a network of cheap wireless sensors (GridStix) was deployed both in the channel and in the floodplain. These sensors measure the water depth, supplying the input data for flood mapping. Besides their accuracy and reliability, their location represents a big issue, having the purpose of providing as much information as possible and at the same time as low redundancy as possible. In order to update their layout, the initial number of six sensors has been increased up to create a redundant network over the area. Through an entropy approach, the most informative and the least redundant sensors have been chosen among all. First, a simple raster-based inundation model (LISFLOOD-FP) is used to generate a synthetic GridStix data set of water stages. The Digital Elevation Model (DEM) used for hydraulic model building is the globally and freely available SRTM DEM. Second, the information content of each sensor has been compared by evaluating their marginal entropy. Those with a low marginal entropy are excluded from the process because of their low capability to provide information. Then the number of sensors has been optimized considering a Multi-Objective Optimization Problem (MOOP) with two objectives, namely maximization of the joint entropy (a measure of the information content) and

  15. Sensor Networks Hierarchical Optimization Model for Security Monitoring in High-Speed Railway Transport Hub

    Directory of Open Access Journals (Sweden)

    Zhengyu Xie

    2015-01-01

    Full Text Available We consider the sensor networks hierarchical optimization problem in high-speed railway transport hub (HRTH. The sensor networks are optimized from three hierarchies which are key area sensors optimization, passenger line sensors optimization, and whole area sensors optimization. Case study on a specific HRTH in China showed that the hierarchical optimization method is effective to optimize the sensor networks for security monitoring in HRTH.

  16. Optimization of Remediation Conditions using Vadose Zone Monitoring Technology

    Science.gov (United States)

    Dahan, O.; Mandelbaum, R.; Ronen, Z.

    2010-12-01

    Success of in-situ bio-remediation of the vadose zone depends mainly on the ability to change and control hydrological, physical and chemical conditions of subsurface. These manipulations enables the development of specific, indigenous, pollutants degrading bacteria or set the environmental conditions for seeded bacteria. As such, the remediation efficiency is dependent on the ability to implement optimal hydraulic and chemical conditions in deep sections of the vadose zone. Enhanced bioremediation of the vadose zone is achieved under field conditions through infiltration of water enriched with chemical additives. Yet, water percolation and solute transport in unsaturated conditions is a complex process and application of water with specific chemical conditions near land surface dose not necessarily result in promoting of desired chemical and hydraulic conditions in deeper sections of the vadose zone. A newly developed vadose-zone monitoring system (VMS) allows continuous monitoring of the hydrological and chemical properties of the percolating water along deep sections of the vadose zone. Implementation of the VMS at sites that undergoes active remediation provides real time information on the chemical and hydrological conditions in the vadose zone as the remediation process progresses. Manipulating subsurface conditions for optimal biodegradation of hydrocarbons is demonstrated through enhanced bio-remediation of the vadose zone at a site that has been contaminated with gasoline products in Tel Aviv. The vadose zone at the site is composed of 6 m clay layer overlying a sandy formation extending to the water table at depth of 20 m bls. The upper 5 m of contaminated soil were removed for ex-situ treatment, and the remaining 15 m vadose zone is treated in-situ through enhanced bioremedaition. Underground drip irrigation system was installed below the surface on the bottom of the excavation. Oxygen and nutrients releasing powder (EHCO, Adventus) was spread below the

  17. Strategy Developed for Selecting Optimal Sensors for Monitoring Engine Health

    Science.gov (United States)

    2004-01-01

    Sensor indications during rocket engine operation are the primary means of assessing engine performance and health. Effective selection and location of sensors in the operating engine environment enables accurate real-time condition monitoring and rapid engine controller response to mitigate critical fault conditions. These capabilities are crucial to ensure crew safety and mission success. Effective sensor selection also facilitates postflight condition assessment, which contributes to efficient engine maintenance and reduced operating costs. Under the Next Generation Launch Technology program, the NASA Glenn Research Center, in partnership with Rocketdyne Propulsion and Power, has developed a model-based procedure for systematically selecting an optimal sensor suite for assessing rocket engine system health. This optimization process is termed the systematic sensor selection strategy. Engine health management (EHM) systems generally employ multiple diagnostic procedures including data validation, anomaly detection, fault-isolation, and information fusion. The effectiveness of each diagnostic component is affected by the quality, availability, and compatibility of sensor data. Therefore systematic sensor selection is an enabling technology for EHM. Information in three categories is required by the systematic sensor selection strategy. The first category consists of targeted engine fault information; including the description and estimated risk-reduction factor for each identified fault. Risk-reduction factors are used to define and rank the potential merit of timely fault diagnoses. The second category is composed of candidate sensor information; including type, location, and estimated variance in normal operation. The final category includes the definition of fault scenarios characteristic of each targeted engine fault. These scenarios are defined in terms of engine model hardware parameters. Values of these parameters define engine simulations that generate

  18. Optimized Enhanced Bioremediation Through 4D Geophysical Monitoring and Autonomous Data Collection, Processing and Analysis

    Science.gov (United States)

    2014-09-01

    ER-200717) Optimized Enhanced Bioremediation Through 4D Geophysical Monitoring and Autonomous Data Collection, Processing and Analysis...N/A 3. DATES COVERED - 4. TITLE AND SUBTITLE Optimized Enhanced Bioremediation Through 4D Geophysical Monitoring and Autonomous Data...8 2.1.2 The Geophysical Signatures of Bioremediation ......................................... 8 2.2 PRIOR

  19. Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China

    Directory of Open Access Journals (Sweden)

    Dianfeng Liu

    2014-01-01

    Full Text Available The soil monitoring network plays an important role in detecting the spatial distribution of soil attributes and facilitates sustainable land-use decision making. Reduced costs, higher speed, greater scope, and a loss of accuracy are necessary to design a regional monitoring network effectively. In this paper, we present a stochastic optimization design method for regional soil carbon and water content monitoring networks with a minimum sample size based on a modified particle swarm optimization algorithm equipped with multiobjective optimization technique. Our effort is to reconcile the conflicts between various objectives, that is, kriging variance, survey budget, spatial accessibility, spatial interval, and the amount of monitoring sites. We applied the method to optimize the soil monitoring networks in a semiarid loess hilly area located in northwest China. The results reveal that the proposed method is both effective and robust and outperforms the standard binary particle swarm optimization and spatial simulated annealing algorithm.

  20. [Study on the optimization of monitoring indicators of drinking water quality during health supervision].

    Science.gov (United States)

    Ye, Bixiong; E, Xueli; Zhang, Lan

    2015-01-01

    To optimize non-regular drinking water quality indices (except Giardia and Cryptosporidium) of urban drinking water. Several methods including drinking water quality exceed the standard, the risk of exceeding standard, the frequency of detecting concentrations below the detection limit, water quality comprehensive index evaluation method, and attribute reduction algorithm of rough set theory were applied, redundancy factor of water quality indicators were eliminated, control factors that play a leading role in drinking water safety were found. Optimization results showed in 62 unconventional water quality monitoring indicators of urban drinking water, 42 water quality indicators could be optimized reduction by comprehensively evaluation combined with attribute reduction of rough set. Optimization of the water quality monitoring indicators and reduction of monitoring indicators and monitoring frequency could ensure the safety of drinking water quality while lowering monitoring costs and reducing monitoring pressure of the sanitation supervision departments.

  1. Monitoring and optimization of energy consumption of base transceiver stations

    CERN Document Server

    Spagnuolo, Antonio; Vetromile, Carmela; Formosi, Roberto; Lubritto, Carmine

    2015-01-01

    The growth and development of the mobile phone network has led to an increased demand for energy by the telecommunications sector, with a noticeable impact on the environment. Monitoring of energy consumption is a great tool for understanding how to better manage this consumption and find the best strategy to adopt in order to maximize reduction of unnecessary usage of electricity. This paper reports on a monitoring campaign performed on six Base Transceiver Stations (BSs) located central Italy, with different technology, typology and technical characteristics. The study focuses on monitoring energy consumption and environmental parameters (temperature, noise, and global radiation), linking energy consumption with the load of telephone traffic and with the air conditioning functions used to cool the transmission equipment. Moreover, using experimental data collected, it is shown, with a Monte Carlo simulation based on power saving features, how the BS monitored could save energy.

  2. Computer monitoring and optimization of the steam boiler performance

    OpenAIRE

    Sobota Tomasz

    2017-01-01

    The paper presents a method for determination of thermo-flow parameters for steam boilers. This method allows to perform the calculations of the boiler furnace chamber and heat flow rates absorbed by superheater stages. These parameters are important for monitoring the performance of the power unit. Knowledge of these parameters allows determining the degree of the furnace chamber slagging. The calculation can be performed in online mode and use to monitoring of steam boiler. The presented me...

  3. Global optimal design of ground water monitoring network using embedded kriging.

    Science.gov (United States)

    Dhar, Anirban; Datta, Bithin

    2009-01-01

    We present a methodology for global optimal design of ground water quality monitoring networks using a linear mixed-integer formulation. The proposed methodology incorporates ordinary kriging (OK) within the decision model formulation for spatial estimation of contaminant concentration values. Different monitoring network design models incorporating concentration estimation error, variance estimation error, mass estimation error, error in locating plume centroid, and spatial coverage of the designed network are developed. A big-M technique is used for reformulating the monitoring network design model to a linear decision model while incorporating different objectives and OK equations. Global optimality of the solutions obtained for the monitoring network design can be ensured due to the linear mixed-integer programming formulations proposed. Performances of the proposed models are evaluated for both field and hypothetical illustrative systems. Evaluation results indicate that the proposed methodology performs satisfactorily. These performance evaluation results demonstrate the potential applicability of the proposed methodology for optimal ground water contaminant monitoring network design.

  4. How to study optimal timing of PET/CT for monitoring of cancer treatment

    DEFF Research Database (Denmark)

    Vach, Werner; Høilund-Carlsen, Poul Flemming; Fischer, Barbara Malene Bjerregaard

    2011-01-01

    Purpose: The use of PET/CT for monitoring treatment response in cancer patients after chemo- or radiotherapy is a very promising approach to optimize cancer treatment. However, the timing of the PET/CT-based evaluation of reduction in viable tumor tissue is a crucial question. We investigated how...... to plan and analyze studies to optimize this timing. Methods: General considerations about studying the optimal timing are given and four fundamental steps are illustrated using data from a published study. Results: The optimal timing should be examined by optimizing the schedule with respect...... to predicting the overall individual time course we can observe in the case of dense measurements. The optimal timing needs not to and should not be studied by optimizing the association with the prognosis of the patient. Conclusions: The optimal timing should be examined in specific ‘schedule optimizing...

  5. Translating Charlottes. Clare Boylan’s “The Secret Diary of Mrs Rochester”: Between Red Rooms and Yellow Wallpapers

    Directory of Open Access Journals (Sweden)

    Giovanna Tallone

    2014-01-01

    Full Text Available In her short story “The Secret Diary of Mrs Rochester”, Clare Boylan playfully uses a variation of the postmodern trend of “writing back” Victorian classics to create a sequel of Charlotte Brontë’s Jane Eyre (1847. Shedding light on Jane’s married life, Boylan makes a parody of Brontë’s language and narrative conventions making Jane an eccentric. In particular, the presence of closed spaces in the story replicates the claustrophobia of the red room in Jane Eyre, and from this point of view Boylan’s story bears parallelisms with Charlotte Perkins Gilman’s short story “The Yellow Wallpaper” (1892. Intertextuality and metanarrative perspectives of both stories draw attention to the textual space of the story and the elusive text that is being written/read. The “secret diary” assumed in the title is not the text that appears on the page. In both stories the protagonist and first-person narrator is engaged in writing an elusive text while confined in a secluded space. 

  6. Optical Performance Monitoring and Signal Optimization in Optical Networks

    DEFF Research Database (Denmark)

    Petersen, Martin Nordal

    2006-01-01

    -optical-electrical regeneration points decreases. This thesis evaluates the impact of signal degrading effects that are becoming of increasing concern in all-optical high-speed networks due to all-optical switching and higher bit-rates. Especially group-velocity-dispersion (GVD) and a number of nonlinear effects will require......The thesis studies performance monitoring for the next generation optical networks. The focus is on all-optical networks with bit-rates of 10 Gb/s or above. Next generation all-optical networks offer large challenges as the optical transmitted distance increases and the occurrence of electrical...... enhanced attention to avoid signal degradations. The requirements for optical performance monitoring features are discussed, and the thesis evaluates the advantages and necessity of increasing the level of performance monitoring parameters in the physical layer. In particular, methods for optical...

  7. OPTIMAL WELL LOCATOR (OWL): A SCREENING TOOL FOR EVALUATING LOCATIONS OF MONITORING WELLS

    Science.gov (United States)

    The Optimal Well Locator ( OWL) program was designed and developed by USEPA to be a screening tool to evaluate and optimize the placement of wells in long term monitoring networks at small sites. The first objective of the OWL program is to allow the user to visualize the change ...

  8. Optimizing bulk milk dioxin monitoring based on costs and effectiveness

    NARCIS (Netherlands)

    Lascano Alcoser, V.; Velthuis, A.G.J.; Fels-Klerx, van der H.J.; Hoogenboom, L.A.P.; Oude Lansink, A.G.J.M.

    2013-01-01

    Dioxins are environmental pollutants, potentially present in milk products, which have negative consequences for human health and for the firms and farms involved in the dairy chain. Dioxin monitoring in feed and food has been implemented to detect their presence and estimate their levels in food

  9. Optimizing bulk milk dioxin monitoring based on costs and effectiveness

    NARCIS (Netherlands)

    Lascano Alcoser, V.; Velthuis, A.G.J.; Fels-Klerx, van der H.J.; Hoogenboom, L.A.P.; Oude Lansink, A.G.J.M.

    2013-01-01

    Dioxins are environmental pollutants, potentially present in milk products, which have negative consequences for human health and for the firms and farms involved in the dairy chain. Dioxin monitoring in feed and food has been implemented to detect their presence and estimate their levels in food ch

  10. Optimizing bulk milk dioxin monitoring based on costs and effectiveness

    NARCIS (Netherlands)

    Lascano Alcoser, V.; Velthuis, A.G.J.; Fels-Klerx, van der H.J.; Hoogenboom, L.A.P.; Oude Lansink, A.G.J.M.

    2013-01-01

    Dioxins are environmental pollutants, potentially present in milk products, which have negative consequences for human health and for the firms and farms involved in the dairy chain. Dioxin monitoring in feed and food has been implemented to detect their presence and estimate their levels in food ch

  11. Using models for the optimization of hydrologic monitoring

    Science.gov (United States)

    Fienen, Michael N.; Hunt, Randall J.; Doherty, John E.; Reeves, Howard W.

    2011-01-01

    Hydrologists are often asked what kind of monitoring network can most effectively support science-based water-resources management decisions. Currently (2011), hydrologic monitoring locations often are selected by addressing observation gaps in the existing network or non-science issues such as site access. A model might then be calibrated to available data and applied to a prediction of interest (regardless of how well-suited that model is for the prediction). However, modeling tools are available that can inform which locations and types of data provide the most 'bang for the buck' for a specified prediction. Put another way, the hydrologist can determine which observation data most reduce the model uncertainty around a specified prediction. An advantage of such an approach is the maximization of limited monitoring resources because it focuses on the difference in prediction uncertainty with or without additional collection of field data. Data worth can be calculated either through the addition of new data or subtraction of existing information by reducing monitoring efforts (Beven, 1993). The latter generally is not widely requested as there is explicit recognition that the worth calculated is fundamentally dependent on the prediction specified. If a water manager needs a new prediction, the benefits of reducing the scope of a monitoring effort, based on an old prediction, may be erased by the loss of information important for the new prediction. This fact sheet focuses on the worth or value of new data collection by quantifying the reduction in prediction uncertainty achieved be adding a monitoring observation. This calculation of worth can be performed for multiple potential locations (and types) of observations, which then can be ranked for their effectiveness for reducing uncertainty around the specified prediction. This is implemented using a Bayesian approach with the PREDUNC utility in the parameter estimation software suite PEST (Doherty, 2010). The

  12. Optimizing streamflow monitoring networks using joint permutation entropy

    Science.gov (United States)

    Stosic, Tatijana; Stosic, Borko; Singh, Vijay P.

    2017-09-01

    Using joint permutation entropy we address the issue of minimizing the cost of monitoring, while minimizing redundancy of the information content, of daily streamflow data recorded during the period 1989-2016 at twelve gauging stations on Brazos River, Texas, USA. While the conventional entropy measures take into account only the probability of occurrence of a given set of events, permutation entropy also takes into account local ordering of the sequential values, thus enriching the analysis. We find that the best cost efficiency is achieved by performing weekly measurements, in comparison with which daily measurements exhibit information redundancy, and monthly measurements imply information loss. We also find that the cumulative information redundancy of the twelve considered stations is over 10% for the observed period, and that the number of monitoring stations can be reduced by half bringing the cumulative redundancy level to less than 1%.

  13. Locating monitoring wells in groundwater systems using embedded optimization and simulation models.

    Science.gov (United States)

    Bashi-Azghadi, Seyyed Nasser; Kerachian, Reza

    2010-04-15

    In this paper, a new methodology is proposed for optimally locating monitoring wells in groundwater systems in order to identify an unknown pollution source using monitoring data. The methodology is comprised of two different single and multi-objective optimization models, a Monte Carlo analysis, MODFLOW, MT3D groundwater quantity and quality simulation models and a Probabilistic Support Vector Machine (PSVM). The single-objective optimization model, which uses the results of the Monte Carlo analysis and maximizes the reliability of contamination detection, provides the initial location of monitoring wells. The objective functions of the multi-objective optimization model are minimizing the monitoring cost, i.e. the number of monitoring wells, maximizing the reliability of contamination detection and maximizing the probability of detecting an unknown pollution source. The PSVMs are calibrated and verified using the results of the single-objective optimization model and the Monte Carlo analysis. Then, the PSVMs are linked with the multi-objective optimization model, which maximizes both the reliability of contamination detection and probability of detecting an unknown pollution source. To evaluate the efficiency and applicability of the proposed methodology, it is applied to Tehran Refinery in Iran.

  14. Multiple Optimal Solutions and Sag Occurrence Index Based Placement of Voltage Sag Monitors

    Directory of Open Access Journals (Sweden)

    M.A. Ali

    2014-05-01

    Full Text Available This study presents optimal placement of voltage sag monitors based on new Sag Occurrence Index (SOI which ensures observability even in case of monitor failure or line outages. Multiple solutions for optimal placement of voltage sag monitors for voltage sag detection have been obtained by genetic algorithm approach such that observability of the whole system is guaranteed. A new Sag Occurrence Index (SOI is proposed to obtain the severity of voltage sag at all the buses in the system. To obtain the best monitor arrangement in the system, the sum of SOI for each optimal combination is determined. IEEE 24-bus Reliability Test System (RTS and IEEE 57-bus system were used to demonstrate the effectiveness of the proposed method. The details of implementation and simulation results are also presented.

  15. Designing optimal greenhouse gas monitoring networks for Australia

    Science.gov (United States)

    Ziehn, T.; Law, R. M.; Rayner, P. J.; Roff, G.

    2016-01-01

    Atmospheric transport inversion is commonly used to infer greenhouse gas (GHG) flux estimates from concentration measurements. The optimal location of ground-based observing stations that supply these measurements can be determined by network design. Here, we use a Lagrangian particle dispersion model (LPDM) in reverse mode together with a Bayesian inverse modelling framework to derive optimal GHG observing networks for Australia. This extends the network design for carbon dioxide (CO2) performed by Ziehn et al. (2014) to also minimise the uncertainty on the flux estimates for methane (CH4) and nitrous oxide (N2O), both individually and in a combined network using multiple objectives. Optimal networks are generated by adding up to five new stations to the base network, which is defined as two existing stations, Cape Grim and Gunn Point, in southern and northern Australia respectively. The individual networks for CO2, CH4 and N2O and the combined observing network show large similarities because the flux uncertainties for each GHG are dominated by regions of biologically productive land. There is little penalty, in terms of flux uncertainty reduction, for the combined network compared to individually designed networks. The location of the stations in the combined network is sensitive to variations in the assumed data uncertainty across locations. A simple assessment of economic costs has been included in our network design approach, considering both establishment and maintenance costs. Our results suggest that, while site logistics change the optimal network, there is only a small impact on the flux uncertainty reductions achieved with increasing network size.

  16. Designing optimal greenhouse gas monitoring networks for Australia

    Directory of Open Access Journals (Sweden)

    T. Ziehn

    2015-08-01

    Full Text Available Atmospheric transport inversion is commonly used to infer greenhouse gas (GHG flux estimates from concentration measurements. The optimal location of ground based observing stations that supply these measurements can be determined by network design. Here, we use a Lagrangian particle dispersion model (LPDM in reverse mode together with a Bayesian inverse modelling framework to derive optimal GHG observing networks for Australia. This extends the network design for carbon dioxide (CO2 performed by Ziehn et al. (2014 to also minimize the uncertainty on the flux estimates for methane (CH4 and nitrous oxide (N2O, both individually and in a combined network using multiple objectives. Optimal networks are generated by adding up to 5 new stations to the base network, which is defined as two existing stations, Cape Grim and Gunn Point, in southern and northern Australia respectively. The individual networks for CO2, CH4 and N2O and the combined observing network show large similarities because the flux uncertainties for each GHG are dominated by regions of biologically productive land. There is little penalty, in terms of flux uncertainty reduction, for the combined network compared to individually designed networks. The location of the stations in the combined network is sensitive to variations in the assumed data uncertainty across locations. A simple assessment of economic costs has been included in our network design approach, considering both establishment and maintenance costs. Our results suggest that while site logistics change the optimal network, there is only a small impact on the flux uncertainty reductions achieved with increasing network size.

  17. FLUKA simulations for the optimization of the Beam Loss Monitors

    CERN Document Server

    Brugger, M; Ferrari, A; Magistris, M; Santana-Leitner, M; Vlachoudis, V; CERN. Geneva. AB Department

    2006-01-01

    The collimation system in the beam cleaning insertion IR7 of the Large Hadron Collider (LHC) is expected to clean the primary halo and the secondary radiation of a beam with unprecedented energy and intensity. Accidental beam losses can therefore entail severe consequences to the hardware of the machine. Thus, protection mechanisms, e.g. beam abort, must be instantaneously triggered by a set of Beam Loss Monitors (BLM's). The readings in the BLM's couple the losses from various collimators, thus rendering the identification of any faulty unit rather complex. In the present study the detailed geometry of IR7 is upgraded with the insertion of the BLM's, and the Monte Carlo FLUKA transport code is used to estimate the individual contribution of every collimator to the showers detected in each BLM.

  18. Performance monitoring and optimization of industrial processes [abstract

    Directory of Open Access Journals (Sweden)

    Sainlez, M.

    2010-01-01

    Full Text Available Data mining refers to extracting useful knowledge from large amounts of data. It is a result of the natural evolution of information technology and development of recent algorithms. Starting from large databases, the main objective is to find interesting latent patterns. In the end, the quality of a model is assessed by its performance for predicting new observations. Bagging and boosting are general strategies for improving classifier and predictor accuracy. They are examples of ensemble methods, or methods that use a combination of models. The bagging algorithm creates an ensemble of models (by boostrap sampling for a learning scheme where each model gives an equally-weighted prediction. Particularly, random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution for all trees in the forest. Internal estimates are also used to measure variable importance. Within the framework of a Kraft pulp mill, we analyze recovery boilers pollutants and steam production. This kind of boiler acts both as a high-pressure steam boiler and as a chemical reactor with reductive and oxidative zones. The steam is used in other mill processes and to run a steam turbine in order to produce electrical energy. Significant perspectives are already existing to optimize this production and reduce atmospheric pollutants. Nowadays random forests modeling is a promising way to achieve that.

  19. Collaboration pathway(s) using new tools for optimizing operational climate monitoring from space

    Science.gov (United States)

    Helmuth, Douglas B.; Selva, Daniel; Dwyer, Morgan M.

    2014-10-01

    Consistently collecting the earth's climate signatures remains a priority for world governments and international scientific organizations. Architecting a solution requires transforming scientific missions into an optimized robust `operational' constellation that addresses the needs of decision makers, scientific investigators and global users for trusted data. The application of new tools offers pathways for global architecture collaboration. Recent (2014) rulebased decision engine modeling runs that targeted optimizing the intended NPOESS architecture, becomes a surrogate for global operational climate monitoring architecture(s). This rule-based systems tools provide valuable insight for Global climate architectures, through the comparison and evaluation of alternatives considered and the exhaustive range of trade space explored. A representative optimization of Global ECV's (essential climate variables) climate monitoring architecture(s) is explored and described in some detail with thoughts on appropriate rule-based valuations. The optimization tools(s) suggest and support global collaboration pathways and hopefully elicit responses from the audience and climate science shareholders.

  20. Synthesize, optimize, analyze, repeat (SOAR): Application of neural network tools to ECG patient monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Watrous, R.; Towell, G.; Glassman, M.S. [Siemens Corporate Research, Princeton, NJ (United States)

    1995-12-31

    Results are reported from the application of tools for synthesizing, optimizing and analyzing neural networks to an ECG Patient Monitoring task. A neural network was synthesized from a rule-based classifier and optimized over a set of normal and abnormal heartbeats. The classification error rate on a separate and larger test set was reduced by a factor of 2. When the network was analyzed and reduced in size by a factor of 40%, the same level of performance was maintained.

  1. Optimization of in-vivo monitoring program for radiation emergency response

    Energy Technology Data Exchange (ETDEWEB)

    Ha, Wi Ho; Kim, Jong Kyung [Dept. of Nuclear Engineering, Hanyang University, Seoul (Korea, Republic of)

    2016-12-15

    In case of radiation emergencies, internal exposure monitoring for the members of public will be required to confirm internal contamination of each individual. In-vivo monitoring technique using portable gamma spectrometer can be easily applied for internal exposure monitoring in the vicinity of the on-site area. In this study, minimum detectable doses (MDDs) for '1'3'4Cs, {sup 137}Cs, and {sup 131}I were calculated adjusting minimum detectable activities (MDAs) from 50 to 1,000 Bq to find out the optimal in-vivo counting condition. DCAL software was used to derive retention fraction of Cs and I isotopes in the whole body and thyroid, respectively. A minimum detectable level was determined to set committed effective dose of 0.1 mSv for emergency response. We found that MDDs at each MDA increased along with the elapsed time. 1,000 Bq for {sup 134}Cs and {sup 137}Cs, and 100 Bq for {sup 131}I were suggested as optimal MDAs to provide in-vivo monitoring service in case of radiation emergencies. In-vivo monitoring program for emergency response should be designed to achieve the optimal MDA suggested from the present work. We expect that a reduction of counting time compared with routine monitoring program can achieve the high throughput system in case of radiation emergencies.

  2. Surface Water Quality Monitoring Site Optimization for Poyang Lake, the Largest Freshwater Lake in China

    Directory of Open Access Journals (Sweden)

    Hua Wang

    2014-11-01

    Full Text Available In this paper, we propose a coupled method to optimize the surface water quality monitoring sites for a huge freshwater lake based on field investigations, mathematical analysis, and numerical simulation tests. Poyang Lake, the largest freshwater lake in China, was selected as the research area. Based on the field investigated water quality data in the 5 years from 2008 to 2012, the water quality inter-annual variation coefficients at all the present sites and the water quality correlation coefficients between adjacent sites were calculated and analyzed to present an optimization scheme. A 2-D unsteady water quality model was established to get the corresponding water quality data at the optimized monitoring sites, which were needed for the rationality test on the optimized monitoring network. We found that: (1 the water quality of Piaoshan (No. 10 fluctuated most distinguishably and the inter-annual variation coefficient of NH3-N and TP could reach 99.77% and 73.92%, respectively. The four studied indexes were all closely related at Piaoshan (No. 10 and Tangyin (No. 11, and the correlation coefficients of COD and NH3-N could reach 0.91 and 0.94 separately. (2 It was suggested that the present site No. 10 be removed to avoid repeatability, and it was suggested that the three sites of Changling, Huzhong, and Nanjiang be added to improve the representativeness of the monitoring sites. (3 According to the rationality analysis, the 21 optimized water quality monitoring sites could scientifically replace the primary network, and the new monitoring network could better reflect the water quality of the whole lake.

  3. Deployment of Wireless Sensor Networks for Oilfield Monitoring by Multiobjective Discrete Binary Particle Swarm Optimization

    Directory of Open Access Journals (Sweden)

    Zhen-Lun Yang

    2016-01-01

    Full Text Available The deployment problem of wireless sensor networks for real time oilfield monitoring is studied. As a characteristic of oilfield monitoring system, all sensor nodes have to be installed on designated spots. For the energy efficiency, some relay nodes and sink nodes are deployed as a delivery subsystem. The major concern of the construction of the monitoring system is the optimum placement of data delivery subsystem to ensure the full connectivity of the sensor nodes while keeping the construction cost as low as possible, with least construction and maintenance complexity. Due to the complicated landform of oilfields, in general, it is rather difficult to satisfy these requirements simultaneously. The deployment problem is formulated as a constrained multiobjective optimization problem and solved through a novel scheme based on multiobjective discrete binary particle swarm optimization to produce optimal solutions from the minimum financial cost to the minimum complexity of construction and maintenance. Simulation results validated that comparing to the three existing state-of-the-art algorithms, that is, NSGA-II, JGGA, and SPEA2, the proposed scheme is superior in locating the Pareto-optimal front and maintaining the diversity of the solutions, thus providing superior candidate solutions for the design of real time monitoring systems in oilfields.

  4. How to study optimal timing of PET/CT for monitoring of cancer treatment

    DEFF Research Database (Denmark)

    Vach, Werner; Høilund-Carlsen, Poul Flemming; Fischer, Barbara Malene Bjerregaard

    2011-01-01

    Purpose: The use of PET/CT for monitoring treatment response in cancer patients after chemo- or radiotherapy is a very promising approach to optimize cancer treatment. However, the timing of the PET/CT-based evaluation of reduction in viable tumor tissue is a crucial question. We investigated how...

  5. US EPA OPTIMAL WELL LOCATOR (OWL): A SCREENING TOOL FOR EVALUATING LOCATIONS OF MONITORING WELLS

    Science.gov (United States)

    The Optimal Well Locator (OWL): uses linear regression to fit a plane to the elevation of the water table in monitoring wells in each round of sampling. The slope of the plane fit to the water table is used to predict the direction and gradient of ground water flow. Along with ...

  6. How to study optimal timing of PET/CT for monitoring of cancer treatment

    DEFF Research Database (Denmark)

    Vach, Werner; Høilund-Carlsen, Poul Flemming; Fischer, Barbara Malene Bjerregaard;

    2011-01-01

    Purpose: The use of PET/CT for monitoring treatment response in cancer patients after chemo- or radiotherapy is a very promising approach to optimize cancer treatment. However, the timing of the PET/CT-based evaluation of reduction in viable tumor tissue is a crucial question. We investigated how...

  7. Supplemental Assessment of the Y-12 Groundwater Protection Program Using Monitoring and Remediation Optimization System Software

    Energy Technology Data Exchange (ETDEWEB)

    Elvado Environmental LLC; GSI Environmental LLC

    2009-01-01

    A supplemental quantitative assessment of the Groundwater Protection Program (GWPP) at the Y-12 National Security Complex (Y-12) in Oak Ridge, TN was performed using the Monitoring and Remediation Optimization System (MAROS) software. This application was previously used as part of a similar quantitative assessment of the GWPP completed in December 2005, hereafter referenced as the 'baseline' MAROS assessment (BWXT Y-12 L.L.C. [BWXT] 2005). The MAROS software contains modules that apply statistical analysis techniques to an existing GWPP analytical database in conjunction with hydrogeologic factors, regulatory framework, and the location of potential receptors, to recommend an improved groundwater monitoring network and optimum sampling frequency for individual monitoring locations. The goal of this supplemental MAROS assessment of the Y-12 GWPP is to review and update monitoring network optimization recommendations resulting from the 2005 baseline report using data collected through December 2007. The supplemental MAROS assessment is based on the findings of the baseline MAROS assessment and includes only the groundwater sampling locations (wells and natural springs) currently granted 'Active' status in accordance with the Y-12 GWPP Monitoring Optimization Plan (MOP). The results of the baseline MAROS assessment provided technical rationale regarding the 'Active' status designations defined in the MOP (BWXT 2006). One objective of the current report is to provide a quantitative review of data collected from Active but infrequently sampled wells to confirm concentrations at these locations. This supplemental MAROS assessment does not include the extensive qualitative evaluations similar to those presented in the baseline report.

  8. Scheduling structural health monitoring activities for optimizing life-cycle costs and reliability of wind turbines

    Science.gov (United States)

    Hanish Nithin, Anu; Omenzetter, Piotr

    2017-04-01

    Optimization of the life-cycle costs and reliability of offshore wind turbines (OWTs) is an area of immense interest due to the widespread increase in wind power generation across the world. Most of the existing studies have used structural reliability and the Bayesian pre-posterior analysis for optimization. This paper proposes an extension to the previous approaches in a framework for probabilistic optimization of the total life-cycle costs and reliability of OWTs by combining the elements of structural reliability/risk analysis (SRA), the Bayesian pre-posterior analysis with optimization through a genetic algorithm (GA). The SRA techniques are adopted to compute the probabilities of damage occurrence and failure associated with the deterioration model. The probabilities are used in the decision tree and are updated using the Bayesian analysis. The output of this framework would determine the optimal structural health monitoring and maintenance schedules to be implemented during the life span of OWTs while maintaining a trade-off between the life-cycle costs and risk of the structural failure. Numerical illustrations with a generic deterioration model for one monitoring exercise in the life cycle of a system are demonstrated. Two case scenarios, namely to build initially an expensive and robust or a cheaper but more quickly deteriorating structures and to adopt expensive monitoring system, are presented to aid in the decision-making process.

  9. Ant colony optimization and neural networks applied to nuclear power plant monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Gean Ribeiro dos; Andrade, Delvonei Alves de; Pereira, Iraci Martinez, E-mail: gean@usp.br, E-mail: delvonei@ipen.br, E-mail: martinez@ipen.br [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

    2015-07-01

    A recurring challenge in production processes is the development of monitoring and diagnosis systems. Those systems help on detecting unexpected changes and interruptions, preventing losses and mitigating risks. Artificial Neural Networks (ANNs) have been extensively used in creating monitoring systems. Usually the ANNs created to solve this kind of problem are created by taking into account only parameters as the number of inputs, outputs, and hidden layers. The result networks are generally fully connected and have no improvements in its topology. This work intends to use an Ant Colony Optimization (ACO) algorithm to create a tuned neural network. The ACO search algorithm will use Back Error Propagation (BP) to optimize the network topology by suggesting the best neuron connections. The result ANN will be applied to monitoring the IEA-R1 research reactor at IPEN. (author)

  10. Sequential Optimal Monitoring Network Design using Iterative Kriging for Identification of Unknown Groundwater Pollution Sources Location

    Science.gov (United States)

    Prakash, O.; Datta, B.

    2011-12-01

    Identification of unknown groundwater pollution source characteristics, in terms of location, magnitude and activity duration is important for designing an effective pollution remediation strategy. Precise source characterization also becomes very important to ascertain liability, and to recover the cost of remediation from parties responsible for the groundwater pollution. Due to the uncertainties in accurately predicting the aquifer response to source flux injection, generally encountered sparsity of concentration observation data in the field, and the non uniqueness in the aquifer response to the subjected hydraulic and chemical stresses, groundwater pollution source characterization remains a challenging task. A scientifically designed pollutant concentration monitoring network becomes imperative for accurate pollutant source characterization. The efficiency of the unknown source locations identification process is largely determined by locations of monitoring wells where the pollutant concentration is observed. The proposed method combines spatial interpolation of concentration measurements and Simulated Annealing as optimization algorithm to find the optimum locations for monitoring wells. Initially, the observed concentration data at few sparsely and arbitrarily distributed wells are used to interpolate the concentration data for the aquifer study area. The concentration information is passed to the optimization algorithm (decision model) as concentration gradient which in turn finds the optimum locations for implementing the next sequence of monitoring wells. Concentration measurement data from these designed monitoring wells and already implemented monitoring network are iteratively used as feedback information for potential groundwater pollution source locations identification. The potential applicability of the developed methodology is demonstrated for an illustrative study area.

  11. A stochastic method for optimal location of groundwater monitoring sites at aquifer scale

    Science.gov (United States)

    Barca, E.; Passarella, G.

    2009-04-01

    With the growth of public environmental awareness and the improvement in national and EU legislation regarding the environment, monitoring assumed great importance in the frame of all managerial activities related to territories. In particular, recently, a number of public environmental agencies have invested great resources in planning and operating improvements on existing monitoring networks within their regions. In this framework, and, at the light of the Water Framework Directive, the optimal monitoring of the qualitative and quantitative state of groundwater becomes a priority, particularly, when severe economic constraints must be imposed and the territory to be monitored is quite wide. There are a lot of reasons justifying the optimal extension of a monitoring network. In fact, a modest coverage of the monitored area often makes impossible to provide the manager with a sufficient knowledge for decision-making processes. In general, monitoring networks are characterized by a scarce number of existing wells, irregularly spread over the considered area. This is a typical case of optimization and it may be solved seeking among existing, but unused, wells, all and only those able to make the monitoring network coverage, the most uniform among any arrangement. Using existing wells as new monitoring sites, allows one to drastically reduce the needed budget. In this paper, a four step method, based on simulated annealing, has been implemented with the aim of identifying scarcely monitored zones within the groundwater system boundaries. The steps are the following: I. Define aquifer boundaries, number and location of the existing monitoring sites and number and location of candidate new monitoring sites. Any constraint about the network size, and wells' location and characteristics need also to be identified at this step; II. Carry out stochastic simulations producing a large number of possible realizations of the improved monitoring network and choose the transient

  12. Site location optimization of regional air quality monitoring network in China: methodology and case study.

    Science.gov (United States)

    Zheng, Junyu; Feng, Xiaoqiong; Liu, Panwei; Zhong, Liuju; Lai, Senchao

    2011-11-01

    Regional air quality monitoring networks (RAQMN) are urgently needed in China due to increasing regional air pollution in city clusters, arising from rapid economic development in recent decades. This paper proposes a methodological framework for site location optimization in designing a RAQMN adapting to air quality management practice in China. The framework utilizes synthetic assessment concentrations developed from simulated data from a regional air quality model in order to simplify the optimal process and to reduce costs. On the basis of analyzing various constraints such as cost and budget, terrain conditions, administrative district, population density and spatial coverage, the framework takes the maximum approximate degree as an optimization objective to achieve site location optimization of a RAQMN. An expert judgment approach was incorporated into the framework to help adjust initial optimization results in order to make the network more practical and representative. A case study was used to demonstrate the application of the framework, indicating that it is feasible to conduct site optimization for a RAQMN design in China. The effects of different combinations of primary and secondary pollutants on site location optimization were investigated. It is suggested that the network design considering both primary and secondary pollutants could better represent regional pollution characteristics and more extensively reflect temporal and spatial variations of regional air quality. The work shown in this study can be used as a reference to guide site location optimization of a RAQMN design in China or other regions of the world.

  13. Model Based Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant

    Energy Technology Data Exchange (ETDEWEB)

    Kumar, Rajeeva; Kumar, Aditya; Dai, Dan; Seenumani, Gayathri; Down, John; Lopez, Rodrigo

    2012-12-31

    This report summarizes the achievements and final results of this program. The objective of this program is to develop a general model-based sensor network design methodology and tools to address key issues in the design of an optimal sensor network configuration: the type, location and number of sensors used in a network, for online condition monitoring. In particular, the focus in this work is to develop software tools for optimal sensor placement (OSP) and use these tools to design optimal sensor network configuration for online condition monitoring of gasifier refractory wear and radiant syngas cooler (RSC) fouling. The methodology developed will be applicable to sensing system design for online condition monitoring for broad range of applications. The overall approach consists of (i) defining condition monitoring requirement in terms of OSP and mapping these requirements in mathematical terms for OSP algorithm, (ii) analyzing trade-off of alternate OSP algorithms, down selecting the most relevant ones and developing them for IGCC applications (iii) enhancing the gasifier and RSC models as required by OSP algorithms, (iv) applying the developed OSP algorithm to design the optimal sensor network required for the condition monitoring of an IGCC gasifier refractory and RSC fouling. Two key requirements for OSP for condition monitoring are desired precision for the monitoring variables (e.g. refractory wear) and reliability of the proposed sensor network in the presence of expected sensor failures. The OSP problem is naturally posed within a Kalman filtering approach as an integer programming problem where the key requirements of precision and reliability are imposed as constraints. The optimization is performed over the overall network cost. Based on extensive literature survey two formulations were identified as being relevant to OSP for condition monitoring; one based on LMI formulation and the other being standard INLP formulation. Various algorithms to solve

  14. A framework for quantifying and optimizing the value of seismic monitoring of infrastructure

    Science.gov (United States)

    Omenzetter, Piotr

    2017-04-01

    This paper outlines a framework for quantifying and optimizing the value of information from structural health monitoring (SHM) technology deployed on large infrastructure, which may sustain damage in a series of earthquakes (the main and the aftershocks). The evolution of the damage state of the infrastructure without or with SHM is presented as a time-dependent, stochastic, discrete-state, observable and controllable nonlinear dynamical system. The pre-posterior Bayesian analysis and the decision tree are used for quantifying and optimizing the value of SHM information. An optimality problem is then formulated how to decide on the adoption of SHM and how to manage optimally the usage and operations of the possibly damaged infrastructure and its repair schedule using the information from SHM. The objective function to minimize is the expected total cost or risk.

  15. FLOODPLAIN, Clare COUNTY, MICHIGAN

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Floodplain Mapping deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance...

  16. A decision analysis approach for optimal groundwater monitoring system design under uncertainty

    Directory of Open Access Journals (Sweden)

    N. B. Yenigül

    2006-01-01

    Full Text Available Groundwater contamination is the degradation of the natural quality of groundwater as a result of human activity. Landfills are one of the most common human activities threatening the groundwater quality. The objective of the monitoring systems is to detect the contaminant plumes before reaching the regulatory compliance boundary in order to prevent the severe risk to both society and groundwater quality, and also to enable cost-effective counter measures in case of a failure. The detection monitoring problem typically has a multi-objective nature. A multi-objective decision model (called MONIDAM which links a classic decision analysis approach with a stochastic simulation model is applied to determine the optimal groundwater monitoring system given uncertainties due to the hydrogeological conditions and contaminant source characteristics. A Monte Carlo approach is used to incorporate uncertainties. Hydraulic conductivity and the leak location are the random inputs of the simulation model. The design objectives considered in the model are: (1 maximizing the detection probability, (2 minimizing the contaminated area and, (3 minimize the total cost of the monitoring system. The results show that the monitoring systems located close to the source are optimal except for the cases with very high unit installation and sampling cost and/or very cheap unit remediation cost.

  17. Collaboration pathway(s) using new tools for optimizing `operational' climate monitoring from space

    Science.gov (United States)

    Helmuth, Douglas B.; Selva, Daniel; Dwyer, Morgan M.

    2015-09-01

    Consistently collecting the earth's climate signatures remains a priority for world governments and international scientific organizations. Architecting a long term solution requires transforming scientific missions into an optimized robust `operational' constellation that addresses the collective needs of policy makers, scientific communities and global academic users for trusted data. The application of new tools offers pathways for global architecture collaboration. Recent rule-based expert system (RBES) optimization modeling of the intended NPOESS architecture becomes a surrogate for global operational climate monitoring architecture(s). These rulebased systems tools provide valuable insight for global climate architectures, by comparison/evaluation of alternatives and the sheer range of trade space explored. Optimization of climate monitoring architecture(s) for a partial list of ECV (essential climate variables) is explored and described in detail with dialogue on appropriate rule-based valuations. These optimization tool(s) suggest global collaboration advantages and elicit responses from the audience and climate science community. This paper will focus on recent research exploring joint requirement implications of the high profile NPOESS architecture and extends the research and tools to optimization for a climate centric case study. This reflects work from SPIE RS Conferences 2013 and 2014, abridged for simplification30, 32. First, the heavily securitized NPOESS architecture; inspired the recent research question - was Complexity (as a cost/risk factor) overlooked when considering the benefits of aggregating different missions into a single platform. Now years later a complete reversal; should agencies considering Disaggregation as the answer. We'll discuss what some academic research suggests. Second, using the GCOS requirements of earth climate observations via ECV (essential climate variables) many collected from space-based sensors; and accepting their

  18. Optimization of piezoelectric energy harvester for wireless smart sensors in railway health monitoring

    Science.gov (United States)

    Li, Jingcheng; Jang, Shinae; Tang, Jiong

    2013-04-01

    Wireless sensor network is one of the prospective methods for railway monitoring due to the long-term operation and low-maintenance performances. How to supply power to the wireless sensor nodes has drawn much attention recently. In railway monitoring, the idea of converting ambient vibration energy from vibration of railway track induced by passing trains to electric energy has made it a potential way for powering the wireless sensor nodes. Nowadays, most of vibration based energy harvesters are designed at resonance. However, as railway vibration frequency is a wide band range, how to design an energy harvester working at that range is critical. In this paper, the energy consumption of the wireless smart sensor platform, Imote2, at different working states were investigated. Based on the energy consumption, a design of a bimorph cantilever piezoelectric energy harvester has been optimized to generate maximum average power between a wide-band frequency range. Significant power and current outputs have been increased after optimal design. Finally, the rechargeable battery life for supplying the Imote2 for railway monitoring is predicted by using the optimized piezoelectric energy harvesting system.

  19. Optimizing urine drug testing for monitoring medication compliance in pain management.

    Science.gov (United States)

    Melanson, Stacy E F; Ptolemy, Adam S; Wasan, Ajay D

    2013-12-01

    It can be challenging to successfully monitor medication compliance in pain management. Clinicians and laboratorians need to collaborate to optimize patient care and maximize operational efficiency. The test menu, assay cutoffs, and testing algorithms utilized in the urine drug testing panels should be periodically reviewed and tailored to the patient population to effectively assess compliance and avoid unnecessary testing and cost to the patient. Pain management and pathology collaborated on an important quality improvement initiative to optimize urine drug testing for monitoring medication compliance in pain management. We retrospectively reviewed 18 months of data from our pain management center. We gathered data on test volumes, positivity rates, and the frequency of false positive results. We also reviewed the clinical utility of our testing algorithms, assay cutoffs, and adulterant panel. In addition, the cost of each component was calculated. The positivity rate for ethanol and 3,4-methylenedioxymethamphetamine were testing from our panel. We also lowered the screening cutoff for cocaine to meet the clinical needs of the pain management center. In addition, we changed our testing algorithm for 6-acetylmorphine, benzodiazepines, and methadone. For example, due the high rate of false negative results using our immunoassay-based benzodiazepine screen, we removed the screening portion of the algorithm and now perform benzodiazepine confirmation up front in all specimens by liquid chromatography-tandem mass spectrometry. Conducting an interdisciplinary quality improvement project allowed us to optimize our testing panel for monitoring medication compliance in pain management and reduce cost. Wiley Periodicals, Inc.

  20. Searchlight Correlation Detectors: Optimal Seismic Monitoring Using Regional and Global Networks

    Science.gov (United States)

    Gibbons, Steven J.; Kværna, Tormod; Näsholm, Sven Peter

    2015-04-01

    The sensitivity of correlation detectors increases greatly when the outputs from multiple seismic traces are considered. For single-array monitoring, a zero-offset stack of individual correlation traces will provide significant noise suppression and enhanced sensitivity for a source region surrounding the hypocenter of the master event. The extent of this region is limited only by the decrease in waveform similarity with increasing hypocenter separation. When a regional or global network of arrays and/or 3-component stations is employed, the zero-offset approach is only optimal when the master and detected events are co-located exactly. In many monitoring situations, including nuclear test sites and geothermal fields, events may be separated by up to many hundreds of meters while still retaining sufficient waveform similarity for correlation detection on single channels. However, the traveltime differences resulting from the hypocenter separation may result in significant beam loss on the zero-offset stack and a deployment of many beams for different hypothetical source locations in geographical space is required. The beam deployment necessary for optimal performance of the correlation detectors is determined by an empirical network response function which is most easily evaluated using the auto-correlation functions of the waveform templates from the master event. The correlation detector beam deployments for providing optimal network sensitivity for the North Korea nuclear test site are demonstrated for both regional and teleseismic monitoring configurations.

  1. Optimal design of hydrometric monitoring networks with dynamic components based on Information Theory

    Science.gov (United States)

    Alfonso, Leonardo; Chacon, Juan; Solomatine, Dimitri

    2016-04-01

    The EC-FP7 WeSenseIt project proposes the development of a Citizen Observatory of Water, aiming at enhancing environmental monitoring and forecasting with the help of citizens equipped with low-cost sensors and personal devices such as smartphones and smart umbrellas. In this regard, Citizen Observatories may complement the limited data availability in terms of spatial and temporal density, which is of interest, among other areas, to improve hydraulic and hydrological models. At this point, the following question arises: how can citizens, who are part of a citizen observatory, be optimally guided so that the data they collect and send is useful to improve modelling and water management? This research proposes a new methodology to identify the optimal location and timing of potential observations coming from moving sensors of hydrological variables. The methodology is based on Information Theory, which has been widely used in hydrometric monitoring design [1-4]. In particular, the concepts of Joint Entropy, as a measure of the amount of information that is contained in a set of random variables, which, in our case, correspond to the time series of hydrological variables captured at given locations in a catchment. The methodology presented is a step forward in the state of the art because it solves the multiobjective optimisation problem of getting simultaneously the minimum number of informative and non-redundant sensors needed for a given time, so that the best configuration of monitoring sites is found at every particular moment in time. To this end, the existing algorithms have been improved to make them efficient. The method is applied to cases in The Netherlands, UK and Italy and proves to have a great potential to complement the existing in-situ monitoring networks. [1] Alfonso, L., A. Lobbrecht, and R. Price (2010a), Information theory-based approach for location of monitoring water level gauges in polders, Water Resour. Res., 46(3), W03528 [2] Alfonso, L., A

  2. Artificial Neural Networks Applications: from Aircraft Design Optimization to Orbiting Spacecraft On-board Environment Monitoring

    Science.gov (United States)

    Jules, Kenol; Lin, Paul P.

    2002-01-01

    This paper reviews some of the recent applications of artificial neural networks taken from various works performed by the authors over the last four years at the NASA Glenn Research Center. This paper focuses mainly on two areas. First, artificial neural networks application in design and optimization of aircraft/engine propulsion systems to shorten the overall design cycle. Out of that specific application, a generic design tool was developed, which can be used for most design optimization process. Second, artificial neural networks application in monitoring the microgravity quality onboard the International Space Station, using on-board accelerometers for data acquisition. These two different applications are reviewed in this paper to show the broad applicability of artificial intelligence in various disciplines. The intent of this paper is not to give in-depth details of these two applications, but to show the need to combine different artificial intelligence techniques or algorithms in order to design an optimized or versatile system.

  3. Near-optimal sensor placement for health monitoring of civil structures

    Science.gov (United States)

    van der Linden, Gwendolyn W.; Emami-Naeini, Abbas; Kosut, Robert L.; Sederat, Hassan; Lynch, Jerome P.

    2010-04-01

    In this paper we focus on the optimal placement of sensors for state estimation-based continuous health monitoring of structures using three approaches. The first aims to minimize the static estimation error of the structure deflections, using the linear stiffness matrix derived from a finite element model. The second approach aims to maximize the observability of the derived linear state space model. The third approach aims to minimize the dynamic estimation error of the deflections using a Linear Quadratic Estimator. Both nonlinear mixed-integer and relaxed convex optimization formulations are presented. A simple search-based optimization implementation for each of the three approaches is demonstrated on a model of the long-span New Carquinez Bridge in California.

  4. Optimization of a Coastal Environmental Monitoring Network Based on the Kriging Method: A Case Study of Quanzhou Bay, China

    Directory of Open Access Journals (Sweden)

    Kai Chen

    2016-01-01

    Full Text Available Environmental monitoring is fundamental in assessing environmental quality and to fulfill protection and management measures with permit conditions. However, coastal environmental monitoring work faces many problems and challenges, including the fact that monitoring information cannot be linked up with evaluation, monitoring data cannot well reflect the current coastal environmental condition, and monitoring activities are limited by cost constraints. For these reasons, protection and management measures cannot be developed and implemented well by policy makers who intend to solve this issue. In this paper, Quanzhou Bay in southeastern China was selected as a case study; and the Kriging method and a geographic information system were employed to evaluate and optimize the existing monitoring network in a semienclosed bay. This study used coastal environmental monitoring data from 15 sites (including COD, DIN, and PO4-P to adequately analyze the water quality from 2009 to 2012 by applying the Trophic State Index. The monitoring network in Quanzhou Bay was evaluated and optimized, with the number of sites increased from 15 to 24, and the monitoring precision improved by 32.9%. The results demonstrated that the proposed advanced monitoring network optimization was appropriate for environmental monitoring in Quanzhou Bay. It might provide technical support for coastal management and pollutant reduction in similar areas.

  5. Optimizing computed tomography pulmonary angiography using right atrium bolus monitoring combined with spontaneous respiration

    Energy Technology Data Exchange (ETDEWEB)

    Min, Wang; Jian, Li; Rui, Zhai [Jining No. 1 People' s Hospital, Department of Computed Tomography, Jining City, ShanDong Province (China); Wen, Li [Jining No. 1 People' s Hospital, Department of Gastroenterology, Jining, ShanDong (China); Dai, Lun-Hou [Shandong Chest Hospital, Department of Radiology, Jinan, ShanDong (China)

    2015-09-15

    CT pulmonary angiography (CTPA) aims to provide pulmonary arterial opacification in the absence of significant pulmonary venous filling. This requires accurate timing of the imaging acquisition to ensure synchronization with the peak pulmonary artery contrast concentration. This study was designed to test the utility of right atrium (RA) monitoring in ensuring optimal timing of CTPA acquisition. Sixty patients referred for CTPA were divided into two groups. Group A (n = 30): CTPA was performed using bolus triggering from the pulmonary trunk, suspended respiration and 70 ml of contrast agent (CA). Group B (n = 30): CTPA image acquisition was triggered using RA monitoring with spontaneous respiration and 40 ml of CA. Image quality was compared. Subjective image quality, average CT values of pulmonary arteries and density difference between artery and vein pairs were significantly higher whereas CT values of pulmonary veins were significantly lower in group B (all P < 0.05). There was no significant difference between the groups in the proportion of subjects where sixth grade pulmonary arteries were opacified (P > 0.05). RA monitoring combined with spontaneous respiration to trigger image acquisition in CTPA produces optimal contrast enhancement in pulmonary arterial structures with minimal venous filling even with reduced doses of CA. (orig.)

  6. Assessing and optimizing the performance of infrasound networks to monitor volcanic eruptions

    Science.gov (United States)

    Tailpied, Dorianne; Le Pichon, Alexis; Marchetti, Emanuele; Assink, Jelle; Vergniolle, Sylvie

    2017-01-01

    We propose a numerical modeling technique based on a frequency-dependent attenuation relation to assess, quantify and optimize the performance of any arbitrary infrasound network to monitor explosive sources such as volcanic eruptions. Simulations are further enhanced by including realistic sources and propagation effects. We apply our approach to both hemispheres by considering the Euro-Mediterranean and the Eastern Australian regions. In these regions, we use quasi-permanent infrasound signals from Mt. Etna recorded in Tunisia and from Mt. Yasur recorded in New Caledonia. These well-instrumented volcanoes offer a unique opportunity to validate our attenuation model. In particular, accurate comparisons between near- and far-field recordings demonstrate the potential of the proposed methodology to remotely monitor volcanoes. A good agreement is found between modeled and observed results, especially when incorporating representative 10 m s-1 wind perturbations in the atmospheric specifications according to previous campaign measurements. To optimize the network layout in order to ensure the best monitoring of the volcanoes, we proceed through a grid search to find optimum locations of an additional array. We show that adding one array at an appropriate location in both regions under study could significantly improve detections half of the year. The application of the proposed methodology can provide in near real-time a realistic confidence level of volcanic eruption detections, useful to mitigate the risk of aircrafts encountering volcanic ash.

  7. Sampling design optimization of a wireless sensor network for monitoring ecohydrological processes in the Babao River basin, China

    NARCIS (Netherlands)

    Ge, Y.; Wang, J.H.; Heuvelink, G.B.M.; Jin, R.; Li, X.; Wang, J.F.

    2015-01-01

    Optimal selection of observation locations is an essential task in designing an effective ecohydrological process monitoring network, which provides information on ecohydrological variables by capturing their spatial variation and distribution. This article presents a geostatistical method for mu

  8. Monitoring and Optimization of ATLAS Tier 2 Center GoeGrid

    CERN Document Server

    AUTHOR|(INSPIRE)INSPIRE-00219638; Yahyapour, Ramin

    The demand on computational and storage resources is growing along with the amount of information that needs to be processed and preserved. In order to ease the provisioning of the digital services to the growing number of consumers, more and more distributed computing systems and platforms are actively developed and employed. The building block of the distributed computing infrastructure are single computing centers, similar to the Worldwide LHC Computing Grid, Tier 2 centre GoeGrid. The main motivation of this thesis was the optimization of GoeGrid performance by efficient monitoring. The goal has been achieved by means of the GoeGrid monitoring information analysis. The data analysis approach was based on the adaptive-network-based fuzzy inference system (ANFIS) and machine learning algorithm such as Linear Support Vector Machine (SVM). The main object of the research was the digital service, since availability, reliability and serviceability of the computing platform can be measured according to the const...

  9. TRACKING AND MONITORING OF TAGGED OBJECTS EMPLOYING PARTICLE SWARM OPTIMIZATION ALGORITHM IN A DEPARTMENTAL STORE

    Directory of Open Access Journals (Sweden)

    Indrajit Bhattacharya

    2011-05-01

    Full Text Available The present paper proposes a departmental store automation system based on Radio Frequency Identification (RFID technology and Particle Swarm Optimization (PSO algorithm. The items in the departmental store spanned over different sections and in multiple floors, are tagged with passive RFID tags. The floor is divided into number of zones depending on different types of items that are placed in their respective racks. Each of the zones is placed with one RFID reader, which constantly monitors the items in their zone and periodically sends that information to the application. The problem of systematic periodic monitoring of the store is addressed in this application so that the locations, distributions and demands of every item in the store can be invigilated with intelligence. The proposed application is successfully demonstrated on a simulated case study.

  10. Plug-and-play monitoring and performance optimization for industrial automation processes

    CERN Document Server

    Luo, Hao

    2017-01-01

    Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented. Contents PnP Process Monitoring and Control Architecture Real-Time Configuration Techniques for PnP Process Monitoring Real-Time Configuration Techniques for PnP Performance Optimization Benchmark Study and Real-Time Implementation Target Groups Researchers and students of Automation and Control Engineering Practitioners in the area of Industrial and Production Engineering The Author Hao Luo received the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, ...

  11. Differences between fully Bayesian and pragmatic methods to assess predictive uncertainty and optimal monitoring designs

    Science.gov (United States)

    Wöhling, Thomas; Geiges, Andreas; Gosses, Moritz; Nowak, Wolfgang

    2015-04-01

    Data acquisition for monitoring the state in different compartments of complex, coupled environmental systems is often time consuming and expensive. Therefore, experimental monitoring strategies are ideally designed such that most can be learned about the system at minimal costs. Bayesian methods for uncertainty quantification and optimal design (OD) of monitoring strategies are well suited to handle the non-linearity exhibited by most coupled environmental systems. However, their high computational demand restricts their applicability to models with comparatively low run-times. Therefore, pragmatic approaches have been used predominantly in the past where data worth and OD analyses have been restricted to linear or linearised problems and methods. Bayesian (nonlinear) and pragmatic (linear) OD approaches are founded on different assumptions and typically follow different steps in the modelling chain of 1) model calibration, 2) uncertainty quantification, and 3) optimal design analysis. The goal of this study is to follow through these steps for a Bayesian and a pragmatic approach and to discuss the impact of different assumptions (prior uncertainty), calibration strategies, and OD analysis methods on the proposed monitoring designs and their reliability to reduce predictive uncertainty. The OD framework PreDIA (Leube et al. 2012) is used for the nonlinear assessment with a conditional model ensemble obtained with Markov-chain Monte Carlo simulation representing the initial predictive uncertainty. PreDIA can consider any kind of uncertainties and non-linear (statistical) dependencies in data, models, parameters and system drivers during the OD process. In the pragmatic OD approach, the parameter calibration was performed with a non-linear global search and the initial predictive uncertainty was estimated using the PREDUNC utility (Moore and Doherty 2005) of PEST. PREDUNC was also used for the linear OD analysis. We applied PreDIA and PREDUNC for uncertainty

  12. Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring

    Directory of Open Access Journals (Sweden)

    Peng Lin

    2014-01-01

    Full Text Available A dam ant colony optimization (D-ACO analysis of the overall stability of high arch dams on complicated foundations is presented in this paper. A modified ant colony optimization (ACO model is proposed for obtaining dam concrete and rock mechanical parameters. A typical dam parameter feedback problem is proposed for nonlinear back-analysis numerical model based on field monitoring deformation and ACO. The basic principle of the proposed model is the establishment of the objective function of optimizing real concrete and rock mechanical parameter. The feedback analysis is then implemented with a modified ant colony algorithm. The algorithm performance is satisfactory, and the accuracy is verified. The m groups of feedback parameters, used to run a nonlinear FEM code, and the displacement and stress distribution are discussed. A feedback analysis of the deformation of the Lijiaxia arch dam and based on the modified ant colony optimization method is also conducted. By considering various material parameters obtained using different analysis methods, comparative analyses were conducted on dam displacements, stress distribution characteristics, and overall dam stability. The comparison results show that the proposal model can effectively solve for feedback multiple parameters of dam concrete and rock material and basically satisfy assessment requirements for geotechnical structural engineering discipline.

  13. Ant colony optimization analysis on overall stability of high arch dam basis of field monitoring.

    Science.gov (United States)

    Lin, Peng; Liu, Xiaoli; Chen, Hong-Xin; Kim, Jinxie

    2014-01-01

    A dam ant colony optimization (D-ACO) analysis of the overall stability of high arch dams on complicated foundations is presented in this paper. A modified ant colony optimization (ACO) model is proposed for obtaining dam concrete and rock mechanical parameters. A typical dam parameter feedback problem is proposed for nonlinear back-analysis numerical model based on field monitoring deformation and ACO. The basic principle of the proposed model is the establishment of the objective function of optimizing real concrete and rock mechanical parameter. The feedback analysis is then implemented with a modified ant colony algorithm. The algorithm performance is satisfactory, and the accuracy is verified. The m groups of feedback parameters, used to run a nonlinear FEM code, and the displacement and stress distribution are discussed. A feedback analysis of the deformation of the Lijiaxia arch dam and based on the modified ant colony optimization method is also conducted. By considering various material parameters obtained using different analysis methods, comparative analyses were conducted on dam displacements, stress distribution characteristics, and overall dam stability. The comparison results show that the proposal model can effectively solve for feedback multiple parameters of dam concrete and rock material and basically satisfy assessment requirements for geotechnical structural engineering discipline.

  14. Optimized two-level placement of test points for multi-objective air monitoring of the Three Gorges Reservoir area

    Institute of Scientific and Technical Information of China (English)

    XIAO Dong-hai; TAN Chun-lu; WANG Jun-qiang; ZHONG Yuan-chang

    2007-01-01

    To fit the complicated geographic conditions of the Three Gorges Reservoir area, a two-level multi-objective monitoring system was developed to monitor the atmosphere of the area. Statistical analysis of environmental monitoring data and the macro control principle were employed to configure the upper layer. The lower layer was designed by the application of the thumb rule to a local terrain and specific point sources of pollution therein. The optimized two-level system comprises an upper layer of 16 monitoring stations distributed at places of diverse geographical, ecological, economical and social characteristics, and a lower layer of 16 sub-machines at each monitoring station of the upper layer. This optimal outcome fits the complicated conditions of the Three Gorges Reservoir area, substantially cuts down the installation cost and the operation cost, and provides accurate monitoring data of atmosphere over the entire area with a high resolution.

  15. Optimal positioning of sensors for the monitoring of water dams; Optimale Positionierung von Messeinrichtungen an Staumauern zur Bauwerksueberwachung

    Energy Technology Data Exchange (ETDEWEB)

    Lahmer, Tom [Bauhaus-Univ. Weimar (Germany). DFG-Graduiertenkolleg 1462; Koenke, Carsten [Bauhaus-Univ. Weimar (Germany). Inst. fuer Strukturmechanik; Bettzieche, Volker [Ruhrverband, Essen (Germany)

    2010-07-01

    This article discusses cases of damages of water dams and describes well proven methods for the monitoring of the structures. Additionally, the effects of damages are investigated with the help of a multifield Finite Element Simulation. Using an inverse approach these damages are identified from the combined consideration of mechanical and hydraulic measurements. An optimal positioning of sensors monitoring the dams is proposed. (orig.)

  16. OPTIMAL WELL LOCATOR (OWL): A SCREENING TOOL FOR EVALUATING LOCATIONS OF MONITORING WELLS: USER'S GUIDE VERSION 1.2

    Science.gov (United States)

    The Optimal Well Locator ( OWL) program was designed and developed by USEPA to be a screening tool to evaluate and optimize the placement of wells in long term monitoring networks at small sites. The first objective of the OWL program is to allow the user to visualize the change ...

  17. Condition based maintenance optimization for wind power generation systems under continuous monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Tian, Zhigang; Wu, Bairong; Ding, Fangfang [Concordia Institute for Information Systems Engineering, Concordia University, 1515 Ste-Catherine Street, West EV-7.637, Montreal (Canada); Jin, Tongdan [Ingram School of Engineering, Texas State University (United States)

    2011-05-15

    By utilizing condition monitoring information collected from wind turbine components, condition based maintenance (CBM) strategy can be used to reduce the operation and maintenance costs of wind power generation systems. The existing CBM methods for wind power generation systems deal with wind turbine components separately, that is, maintenance decisions are made on individual components, rather than the whole system. However, a wind farm generally consists of multiple wind turbines, and each wind turbine has multiple components including main bearing, gearbox, generator, etc. There are economic dependencies among wind turbines and their components. That is, once a maintenance team is sent to the wind farm, it may be more economical to take the opportunity to maintain multiple turbines, and when a turbine is stopped for maintenance, it may be more cost-effective to simultaneously replace multiple components which show relatively high risks. In this paper, we develop an optimal CBM solution to the above-mentioned issues. The proposed maintenance policy is defined by two failure probability threshold values at the wind turbine level. Based on the condition monitoring and prognostics information, the failure probability values at the component and the turbine levels can be calculated, and the optimal CBM decisions can be made accordingly. A simulation method is developed to evaluate the cost of the CBM policy. A numerical example is provided to illustrate the proposed CBM approach. A comparative study based on commonly used constant-interval maintenance policy demonstrates the advantage of the proposed CBM approach in reducing the maintenance cost. (author)

  18. Toward Optimized Bioclogging and Biocementation Through Combining Advanced Geophysical Monitoring and Reactive Transport Modeling Approaches

    Science.gov (United States)

    Hubbard, C. G.; Hubbard, S. S.; Wu, Y.; Surasani, V.; Ajo Franklin, J. B.; Commer, M.; Dou, S.; Kwon, T.; Li, L.; Fouke, B. W.; Coates, J. D.

    2012-12-01

    Bioclogging and biocementation offer exciting opportunities for solutions to diverse problems ranging from soil stabilization to microbially enhanced hydrocarbon recovery. The effectiveness of bioclogging and biocementation strategies is governed by processes and properties ranging from microbial metabolism at the submicron scale, to changes in pore geometry at the pore scale, to geological heterogeneities at the field scale. Optimization of these strategies requires advances in mechanistic reactive transport modeling and geophysical monitoring methodologies. Our research focuses on (i) performing laboratory experiments to refine understanding of reaction networks and to quantify changes in hydrological properties (e.g. permeability), the evolution of biominerals and geophysical responses (focusing on seismic and electrical techniques); (ii) developing and using a reactive transport simulator capable of predicting the induced metabolic processes to numerically explore how to optimize the desired effect; and (iii) using loosely coupled reactive transport and geophysical simulators to explore detectability and resolvability of induced bioclogging and biocementation processes at the field scale using time-lapse geophysical methods. Here we present examples of our research focused on three different microbially-mediated methods to enhance hydrocarbon recovery through selective clogging of reservior thief zones, including: (a) biopolymer clogging through dextran production; (b) biomineral clogging through iron oxide precipitation; and (c) biomineral clogging through carbonate precipitation. We will compare the utility of these approaches for enhancing hydrocarbon recovery and will describe the utility of geophysical methods to remotely monitor associated field treatments.

  19. Online total organic carbon (TOC) monitoring for water and wastewater treatment plants processes and operations optimization

    Science.gov (United States)

    Assmann, Céline; Scott, Amanda; Biller, Dondra

    2017-08-01

    Organic measurements, such as biological oxygen demand (BOD) and chemical oxygen demand (COD) were developed decades ago in order to measure organics in water. Today, these time-consuming measurements are still used as parameters to check the water treatment quality; however, the time required to generate a result, ranging from hours to days, does not allow COD or BOD to be useful process control parameters - see (1) Standard Method 5210 B; 5-day BOD Test, 1997, and (2) ASTM D1252; COD Test, 2012. Online organic carbon monitoring allows for effective process control because results are generated every few minutes. Though it does not replace BOD or COD measurements still required for compliance reporting, it allows for smart, data-driven and rapid decision-making to improve process control and optimization or meet compliances. Thanks to the smart interpretation of generated data and the capability to now take real-time actions, municipal drinking water and wastewater treatment facility operators can positively impact their OPEX (operational expenditure) efficiencies and their capabilities to meet regulatory requirements. This paper describes how three municipal wastewater and drinking water plants gained process insights, and determined optimization opportunities thanks to the implementation of online total organic carbon (TOC) monitoring.

  20. Objective Functions for Information-Content-Based Optimal Monitoring Network Design

    Science.gov (United States)

    Weijs, S. V.; Huwald, H.; Parlange, M. B.

    2013-12-01

    Information theory has the potential to provide a common language for the quantification of uncertainty and its reduction by choosing optimally informative monitoring network layout. Numerous different objectives based on information measures have been proposed in recent literature, often focusing simultaneously on maximum information and minimum dependence between the chosen locations for data collection. We discuss these objective functions and conclude that a single objective optimization of joint entropy suffices to maximize the collection of information. Minimum dependence is a secondary objective that automatically follows from the first, but has no intrinsic justification. Furthermore it is demonstrated how the curse of dimensionality complicates the determination of information content for time series. In many cases found in the monitoring network literature, discrete multivariate joint distributions are estimated from relatively little data, leading to the occurrence of spurious dependencies in data, which change interpretations of previously published results. Aforementioned numerical challenges stem from inherent difficulties and subjectivity in determining information content. From information-theoretical logic it is clear that the information content of data depends on the state of knowledge prior to obtaining them. Less assumptions in formulating this state of knowledge leads to higher data requirements in formulating it. We further clarify the role of prior information in information content by drawing an analogy with data compression.

  1. Optimizing master event templates for CTBT monitoring with dimensionality reduction techniques: real waveforms vs. synthetics.

    Science.gov (United States)

    Rozhkov, Mikhail; Bobrov, Dmitry; Kitov, Ivan

    2014-05-01

    The Master Event technique is a powerful tool for Expert Technical Analysis within the CTBT framework as well as for real-time monitoring with the waveform cross-correlation (CC) (match filter) approach. The primary goal of CTBT monitoring is detection and location of nuclear explosions. Therefore, the cross-correlation monitoring should be focused on finding such events. The use of physically adequate waveform templates may significantly increase the number of valid, both natural and manmade, events in the Reviewed Event Bulletin (REB) of the International Data Centre. Inadequate templates for master events may increase the number of CTBT irrelevant events in REB and reduce the sensitivity of the CC technique to valid events. In order to cover the entire earth, including vast aseismic territories, with the CC based nuclear test monitoring we conducted a thorough research and defined the most appropriate real and synthetic master events representing underground explosion sources. A procedure was developed on optimizing the master event template simulation and narrowing the classes of CC templates used in detection and location process based on principal and independent component analysis (PCA and ICA). Actual waveforms and metadata from the DTRA Verification Database were used to validate our approach. The detection and location results based on real and synthetic master events were compared. The prototype of CC-based Global Grid monitoring system developed in IDC during last year was populated with different hybrid waveform templates (synthetics, synthetics components, and real components) and its performance was assessed with the world seismicity data flow, including the DPRK-2013 event. The specific features revealed in this study for the P-waves from the DPRK underground nuclear explosions (UNEs) can reduce the global detection threshold of seismic monitoring under the CTBT by 0.5 units of magnitude. This corresponds to the reduction in the test yield by a

  2. Optimization of a Groundwater Monitoring Network for a Sustainable Development of the Maheshwaram Catchment, India

    Directory of Open Access Journals (Sweden)

    Shakeel Ahmed

    2011-02-01

    Full Text Available Groundwater is one of the most valuable resources for drinking water and irrigation in the Maheshwaram Catchment, Central India, where most of the local population depends on it for agricultural activities. An increasing demand for irrigation and the growing concern about potential water contamination makes imperative the implementation of a systematic groundwater-quality monitoring program in the region. Nonetheless, limited funding and resources emphasize the need to achieve a representative but cost-effective sampling strategy. In this context, field observations were combined with a geostatistical analysis to define an optimized monitoring network able to provide sufficient and non-redundant information on key hydrochemical parameters. A factor analysis was used to evaluate the interrelationship among variables, and permitted to reduce the original dataset into a new configuration of monitoring points still able to capture the spatial variability in the groundwater quality of the basin. The approach is useful to maximize data collection and contributes to better manage the allocation of resources under budget constrains.

  3. A triaxial accelerometer monkey algorithm for optimal sensor placement in structural health monitoring

    Science.gov (United States)

    Jia, Jingqing; Feng, Shuo; Liu, Wei

    2015-06-01

    Optimal sensor placement (OSP) technique is a vital part of the field of structural health monitoring (SHM). Triaxial accelerometers have been widely used in the SHM of large-scale structures in recent years. Triaxial accelerometers must be placed in such a way that all of the important dynamic information is obtained. At the same time, the sensor configuration must be optimal, so that the test resources are conserved. The recommended practice is to select proper degrees of freedom (DOF) based upon several criteria and the triaxial accelerometers are placed at the nodes corresponding to these DOFs. This results in non-optimal placement of many accelerometers. A ‘triaxial accelerometer monkey algorithm’ (TAMA) is presented in this paper to solve OSP problems of triaxial accelerometers. The EFI3 measurement theory is modified and involved in the objective function to make it more adaptable in the OSP technique of triaxial accelerometers. A method of calculating the threshold value based on probability theory is proposed to improve the healthy rate of monkeys in a troop generation process. Meanwhile, the processes of harmony ladder climb and scanning watch jump are proposed and given in detail. Finally, Xinghai NO.1 Bridge in Dalian is implemented to demonstrate the effectiveness of TAMA. The final results obtained by TAMA are compared with those of the original monkey algorithm and EFI3 measurement, which show that TAMA can improve computational efficiency and get a better sensor configuration.

  4. MonALISA: An agent based, dynamic service system to monitor, control and optimize distributed systems

    Science.gov (United States)

    Legrand, I.; Newman, H.; Voicu, R.; Cirstoiu, C.; Grigoras, C.; Dobre, C.; Muraru, A.; Costan, A.; Dediu, M.; Stratan, C.

    2009-12-01

    The MonALISA (Monitoring Agents in a Large Integrated Services Architecture) framework provides a set of distributed services for monitoring, control, management and global optimization for large scale distributed systems. It is based on an ensemble of autonomous, multi-threaded, agent-based subsystems which are registered as dynamic services. They can be automatically discovered and used by other services or clients. The distributed agents can collaborate and cooperate in performing a wide range of management, control and global optimization tasks using real time monitoring information. Program summaryProgram title: MonALISA Catalogue identifier: AEEZ_v1_0 Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AEEZ_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland Licensing provisions: Caltech License - free for all non-commercial activities No. of lines in distributed program, including test data, etc.: 147 802 No. of bytes in distributed program, including test data, etc.: 2 5913 689 Distribution format: tar.gz Programming language: Java, additional APIs available in Java, C, C++, Perl and python Computer: Computing Clusters, Network Devices, Storage Systems, Large scale data intensive applications Operating system: The MonALISA service is mainly used in Linux, the MonALISA client runs on all major platforms (Windows, Linux, Solaris, MacOS). Has the code been vectorized or parallelized?: It is a multithreaded application. It will efficiently use all the available processors. RAM: for the MonALISA service the minimum required memory is 64 MB; if the JVM is started allocating more memory this will be used for internal caching. The MonALISA client requires typically 256-512 MB of memory. Classification: 6.5 External routines: Requires Java: JRE or JDK to run. These external packages are used (they are included in the distribution): JINI, JFreeChart, PostgreSQL (optional). Nature of problem: To monitor and control

  5. Optimized Autonomous Space In-situ Sensor-Web for volcano monitoring

    Science.gov (United States)

    Song, W.-Z.; Shirazi, B.; Kedar, S.; Chien, S.; Webb, F.; Tran, D.; Davis, A.; Pieri, D.; LaHusen, R.; Pallister, J.; Dzurisin, D.; Moran, S.; Lisowski, M.

    2008-01-01

    In response to NASA's announced requirement for Earth hazard monitoring sensor-web technology, a multidisciplinary team involving sensor-network experts (Washington State University), space scientists (JPL), and Earth scientists (USGS Cascade Volcano Observatory (CVO)), is developing a prototype dynamic and scaleable hazard monitoring sensor-web and applying it to volcano monitoring. The combined Optimized Autonomous Space -In-situ Sensor-web (OASIS) will have two-way communication capability between ground and space assets, use both space and ground data for optimal allocation of limited power and bandwidth resources on the ground, and use smart management of competing demands for limited space assets. It will also enable scalability and seamless infusion of future space and in-situ assets into the sensor-web. The prototype will be focused on volcano hazard monitoring at Mount St. Helens, which has been active since October 2004. The system is designed to be flexible and easily configurable for many other applications as well. The primary goals of the project are: 1) integrating complementary space (i.e., Earth Observing One (EO-1) satellite) and in-situ (ground-based) elements into an interactive, autonomous sensor-web; 2) advancing sensor-web power and communication resource management technology; and 3) enabling scalability for seamless infusion of future space and in-situ assets into the sensor-web. To meet these goals, we are developing: 1) a test-bed in-situ array with smart sensor nodes capable of making autonomous data acquisition decisions; 2) efficient self-organization algorithm of sensor-web topology to support efficient data communication and command control; 3) smart bandwidth allocation algorithms in which sensor nodes autonomously determine packet priorities based on mission needs and local bandwidth information in real-time; and 4) remote network management and reprogramming tools. The space and in-situ control components of the system will be

  6. [Triazole antifungal agents: practice guidelines of therapeutic drug monitoring and perspectives in treatment optimization].

    Science.gov (United States)

    Scodavolpe, Simon; Quaranta, Sylvie; Lacarelle, Bruno; Solas, Caroline

    2014-01-01

    Antifungal triazole agents (fluconazole, voriconazole, itraconazole and posaconazole) are widely used for the management of invasive fungal infections (IFI). These drugs are indicated both for the prophylaxis and treatment of IFI, particularly in candidiasis and aspergillosis, major cause of mortality in immunocompromised patients. Due to a large interindividual pharmacokinetic variability leading to sub-therapeutic or toxic concentrations and to concentration-efficacy and/or -toxicity relationships, therapeutic drug monitoring (TDM) of antifungal triazole is fully justified. This review provides an overview of literature based data that confirm the usefulness of such TDM and its level of evidence as well as the practical guidelines for its implementation. In addition, we discuss the interest of new tools to improve the clinical management of IFI, such as genotyping tests optimizing initial voriconazole dosing regimen or the development of a new solid oral tablet of posaconazole improving its bioavailability and limiting absorption disorders.

  7. Optimization of Kicker Pulse Bump by Using a SR Monitor at the Photon Factory

    CERN Document Server

    Mitsuhashi, Toshiyuki

    2005-01-01

    We plan to operate the Photon Factory storage ring by top-up injection mode from 2006. To realize this operation mode, remaining coherent oscillation of the stored beam due to error in the injection pulse bump is one of most serious problem. To reducing the error in the injection pulse bump, we calibrated kicking angles of the injection kicker magnets by means of the term by term instantaneous observation of beam profile. We have a SR monitor inside of injection pulse bump. By measureing the tern by tern beam position after the excitation of kicker magnet, we can calibrate the kick angle of the kicker magnet. By using this calibration, we optimized injection pulse bump. As a result, we reduced amplitude of remaining coherent oscillation less than 1/4 of the 1??of the beam size.

  8. Wireless Sensing, Monitoring and Optimization for Campus-Wide Steam Distribution

    Energy Technology Data Exchange (ETDEWEB)

    Olama, Mohammed M [ORNL; Allgood, Glenn O [ORNL; Kuruganti, Phani Teja [ORNL; Sukumar, Sreenivas R [ORNL; Woodworth, Ken [ORNL; Lake, Joe E [ORNL

    2011-11-01

    The US Congress has passed legislation dictating that all government agencies establish a plan and process for improving energy efficiencies at their sites. In response to this legislation, Oak Ridge National Laboratory (ORNL) has recently conducted a pilot study to explore the deployment of a wireless sensor system for a real-time measurement-based energy efficiency optimization. With particular focus on the 12-mile long steam distribution network in our campus, we propose an integrated system-level approach to optimize energy delivery within the steam distribution system. Our approach leverages an integrated wireless sensor and real-time monitoring capability. We make real time state assessment on the steam trap health and steam flow estimate of the distribution system by mounting acoustic sensors on the steam pipes/traps/valves and observing measurements of these sensors with state estimators for system health. Our assessments are based on a spectral-based energy signature scheme that interprets acoustic vibration sensor data to estimate steam flow rates and assess steam traps status. Experimental results show that the energy signature scheme has the potential to identify different steam trap states and it has sufficient sensitivity to estimate flow rate. Moreover, results indicate a nearly quadratic relationship over the test region between the overall energy signature factor and flow rate in the pipe. We are able to present the steam flow and steam trap status, sensor readings, and the assessed alerts as an interactive overlay within a web-based Google Earth geographic platform that enables decision makers to take remedial action. The goal is to achieve significant energy-saving in steam lines by monitoring and acting on leaking steam pipes/traps/valves. We believe our demonstration serves as an instantiation of a platform that extends implementation to include newer modalities to manage water flow, sewage and energy consumption.

  9. Optimal Fair Scheduling in S-TDMA Sensor Networks for Monitoring River Plumes

    Directory of Open Access Journals (Sweden)

    Miguel-Angel Luque-Nieto

    2016-01-01

    Full Text Available Underwater wireless sensor networks (UWSNs are a promising technology to provide oceanographers with environmental data in real time. Suitable network topologies to monitor estuaries are formed by strings coming together to a sink node. This network may be understood as an oriented graph. A number of MAC techniques can be used in UWSNs, but Spatial-TDMA is preferred for fixed networks. In this paper, a scheduling procedure to obtain the optimal fair frame is presented, under ideal conditions of synchronization and transmission errors. The main objective is to find the theoretical maximum throughput by overlapping the transmissions of the nodes while keeping a balanced received data rate from each sensor, regardless of its location in the network. The procedure searches for all cliques of the compatibility matrix of the network graph and solves a Multiple-Vector Bin Packing (MVBP problem. This work addresses the optimization problem and provides analytical and numerical results for both the minimum frame length and the maximum achievable throughput.

  10. Ultrasonic monitoring of fish thawing process optimal time of thawing and effect of freezing/thawing

    Directory of Open Access Journals (Sweden)

    Youssef Ait El Kadi

    2013-09-01

    Full Text Available Introduction. Fish quality is traditionally controlled by chemical and microbiological analysis. The non-de- structive control presents an enormous professional interest thanks to the technical contribution and precision of the analysis to which it leads. This paper presents the results obtained from a characterisation of fish thaw­ing process by the ultrasonic technique, with monitoring thermal processing from frozen to defrosted states. Material and methods. The study was carried out on fish type red drum and salmon cut into fillets of 15 mm thickness. After being frozen at -20°C, the sample is enclosed in a plexiglas vessel with parallel walls at the ambient temperature 30°C and excited in perpendicular incidence at 0.5 MHz by an ultrasonic pulser-receiver Sofranel 5052PR. the technique of measurement consists to study the signals reflected by fish during its thaw­ing, the specific techniques of signal processing are implemented to deduce informations characterizing the state of fish and its thawing process by examining the evolution of the position echoes reflected by the sample and the viscoelastic parameters offish during its thawing. Results. The obtained results show a relationship between the thermal state offish and its acoustic proper­ties, which allowed to deduce the optimal time of the first thawing in order to restrict the growth of microbial flora. For salmon, the results show a decrease of 36% of the time of the second thawing and an increase of 10.88% of the phase velocity, with a decrease of 65.5% of the peak-to-peak voltage of the signal reflected, thus a decrease of the acoustic impedance. Conclusions. This study shows an optimal time and an evolution rate of thawing specific to each type offish and a correlation between the acoustic behavior of fish and its thermal state which approves that this tech­nique of ultrasonic monitoring can substitute the control using the destructive chemical analysis in order to monitor

  11. Sequential optimal monitoring network design and iterative spatial estimation of pollutant concentration for identification of unknown groundwater pollution source locations.

    Science.gov (United States)

    Prakash, Om; Datta, Bithin

    2013-07-01

    One of the difficulties in accurate characterization of unknown groundwater pollution sources is the uncertainty regarding the number and the location of such sources. Only when the number of source locations is estimated with some degree of certainty that the characterization of the sources in terms of location, magnitude, and activity duration can be meaningful. A fairly good knowledge of source locations can substantially decrease the degree of nonuniqueness in the set of possible aquifer responses to subjected geochemical stresses. A methodology is developed to use a sequence of dedicated monitoring network design and implementation and to screen and identify the possible source locations. The proposed methodology utilizes a combination of spatial interpolation of concentration measurements and simulated annealing as optimization algorithm for optimal design of the monitoring network. These monitoring networks are to be designed and implemented sequentially. The sequential design is based on iterative pollutant concentration measurement information from the sequentially designed monitoring networks. The optimal monitoring network design utilizes concentration gradient information from the monitoring network at previous iteration to define the objective function. The capability of the feedback information based iterative methodology is shown to be effective in estimating the source locations when no such information is initially available. This unknown pollution source locations identification methodology should be very useful as a screening model for subsequent accurate estimation of the unknown pollution sources in terms of location, magnitude, and activity duration.

  12. Optimization of Deep Sedation with Spontaneous Respiration for Therapeutic Endoscopy Combining Propofol and Bispectral Index Monitoring

    Directory of Open Access Journals (Sweden)

    Kohei Matsumoto

    2015-01-01

    Full Text Available Background/Aims. This study aimed to establish optimal propofol anesthesia for therapeutic endoscopy, which has not been established. Methodology. We retrospectively investigated data on 89 patients who underwent upper-GI endoscopic submucosal dissection or endoscopic mucosal resection under anesthesia with propofol. Examined doses of propofol were changed according to efficacy and/or adverse events and classified into 5 periods. A bispectral index (BIS monitor was used at Period 5 to decrease the incidence of adverse events caused by oversedation. The initial dose of propofol was administered after bolus injection of pethidine hydrochloride (0.5 mg/kg, and 1.0 mL of propofol was added every minute until the patients fell asleep. Continuous and bolus infusion were performed to maintain sedation. When the patient moved or an adverse event occurred, the maintenance dose examined was increased or decreased by 5 mL/h regardless of body weight. Results. Dose combinations (introduction : maintenance and patient numbers for each period were as follows: Period 1 (n=27, 0.5 mg/kg : 5 mg/kg/h; Period 2 (n=11, 0.33 mg/kg : 3.3 mg/kg/h; Period 3 (n=7, 0.5 mg/kg : 3.3 mg/kg/h; Period 4 (n=14, 0.5 mg/kg : 2.5 mg/kg/h; Period 5 (n=30, 0.5 mg/kg : 2.5 mg/kg/h, using BIS monitor. During Period 5, an adverse event occurred in 10.0% of patients, which was lower than that for Periods 1–4. Conclusions. Period 5 propofol anesthesia with BIS protocol could be safe and useful for therapeutic endoscopy under deep sedation with spontaneous respiration.

  13. Optimal Non-Invasive Fault Classification Model for Packaged Ceramic Tile Quality Monitoring Using MMW Imaging

    Science.gov (United States)

    Agarwal, Smriti; Singh, Dharmendra

    2016-04-01

    Millimeter wave (MMW) frequency has emerged as an efficient tool for different stand-off imaging applications. In this paper, we have dealt with a novel MMW imaging application, i.e., non-invasive packaged goods quality estimation for industrial quality monitoring applications. An active MMW imaging radar operating at 60 GHz has been ingeniously designed for concealed fault estimation. Ceramic tiles covered with commonly used packaging cardboard were used as concealed targets for undercover fault classification. A comparison of computer vision-based state-of-the-art feature extraction techniques, viz, discrete Fourier transform (DFT), wavelet transform (WT), principal component analysis (PCA), gray level co-occurrence texture (GLCM), and histogram of oriented gradient (HOG) has been done with respect to their efficient and differentiable feature vector generation capability for undercover target fault classification. An extensive number of experiments were performed with different ceramic tile fault configurations, viz., vertical crack, horizontal crack, random crack, diagonal crack along with the non-faulty tiles. Further, an independent algorithm validation was done demonstrating classification accuracy: 80, 86.67, 73.33, and 93.33 % for DFT, WT, PCA, GLCM, and HOG feature-based artificial neural network (ANN) classifier models, respectively. Classification results show good capability for HOG feature extraction technique towards non-destructive quality inspection with appreciably low false alarm as compared to other techniques. Thereby, a robust and optimal image feature-based neural network classification model has been proposed for non-invasive, automatic fault monitoring for a financially and commercially competent industrial growth.

  14. Parameter Optimization of Information Channels for Laser Fluorescence Method of Vegetation Monitoring

    Directory of Open Access Journals (Sweden)

    M. L. Belov

    2015-01-01

    Full Text Available Nowadays, there is a growing interest in application of remote monitoring and accounting systems in agriculture.One of the promising areas of remote vegetation monitoring is a fluorescence analysis, as it potentially allows sensing stress of plants according to characteristics of their fluorescent radiation.The shape of the fluorescence spectra of vegetation in the normal condition differs from that of the fluorescence spectra of vegetation in stressful conditions. This potentially allows you to sence the plants by recording information about the shape of the fluorescence spectra.Analysis of the fluorescence spectrum shape can be replaced by the analysis of fluorescence intensities in several spectral bands, which simpifies problem-solving.Currently, there are various devices developed for laser fluorescence sensing of plant stress. However, a lot of issues important to the practice remain unclear.Most of these issues concern the parameters of receiving channels to record information signals, which allow you to perceve the stress-sensed plants:- how many information channels of spectral bands better to use;- what the best width of these spectral bands of information is ;- what is the best width of the spectral bands of information;- what the best threshold value for the threshold algorithm is, and if there is the better algorithm to process measurement data.The work uses mathematical modeling based on the experimentally measured fluorescence spectra to determine the optimal (in terms of probability of sensing characteristics of the stress of plants, i.e. the probability of good sense and false alarm parameters of information channels for laser fluorescence method to sense the plant stress: the central wavelength of the information spectral bands, their spectral width, and parameters of the algorithm in the case of processing two spectral channels of information. It is shown that using the additional third information spectral band allows you to

  15. U.S. EPA OPTIMAL WELL LOCATOR (OWL): A SCREENING TOOL FOR EVALUATING LOCATIONS OF MONITORING WELLS (ROCKY GAP, MD)

    Science.gov (United States)

    The Optimal Well Locator (OWL): uses linear regression to fit a plane to the elevation of the water table in monitoring wells in each round of sampling. The slope of the plane fit to the water table is used to predict the direction and gradient of ground water flow. Along with ...

  16. Design and performance of optimal detectors for guided wave structural health monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Dib, G.; Udpa, L.

    2016-01-01

    Ultrasonic guided wave measurements in a long term structural health monitoring system are affected by measurement noise, environmental conditions, transducer aging and malfunction. This results in measurement variability which affects detection performance, especially in complex structures where baseline data comparison is required. This paper derives the optimal detector structure, within the framework of detection theory, where a guided wave signal at the sensor is represented by a single feature value that can be used for comparison with a threshold. Three different types of detectors are derived depending on the underlying structure’s complexity: (i) Simple structures where defect reflections can be identified without the need for baseline data; (ii) Simple structures that require baseline data due to overlap of defect scatter with scatter from structural features; (iii) Complex structure with dense structural features that require baseline data. The detectors are derived by modeling the effects of variabilities and uncertainties as random processes. Analytical solutions for the performance of detectors in terms of the probability of detection and false alarm are derived. A finite element model is used to generate guided wave signals and the performance results of a Monte-Carlo simulation are compared with the theoretical performance. initial results demonstrate that the problems of signal complexity and environmental variability can in fact be exploited to improve detection performance.

  17. Optimized noninvasive monitoring of thermal changes on digital B-mode renal sonography during revascularization therapy.

    Science.gov (United States)

    Abolhassani, Mohammad D; Tavakoli, Vahid; Sahba, Nima

    2009-11-01

    Noninvasive real-time thermal change monitoring of human internal organs can play a critical role in diagnosis and treatment of many disorders, including reperfusion of renal arteries during anticoagulation therapy. This article focuses on tissue temperature detection using ultrasound velocity changes in different structures and their related speckle shift from their primary locations on high-quality B-mode digital sonography. We evaluated different speckle-tracking techniques and optimized them using appropriate motion estimation methods to determine the best algorithm and parameters. Performing thermal detection methods on simulated phantoms showed a good correlation between speckle shifts and the ground truth temperature. For the simulated images, average thermal error was 0.5 degrees C with an SD of 0.5 degrees C, where lower errors can be obtained in noiseless (motionless) data. The proposed technique was evaluated on real in vivo cases during surgical occlusion and reopening of the renal segmental artery and showed the potential of the algorithm for observation of internal organ changes using only digital ultrasound systems for diagnosis and therapy. The adaptive Rood pattern search proved to be the best block-matching technique, whereas the multiresolution Horn-Schunck technique was the best gradient optical flow method. The extracted thermal change during in vivo revascularization therapy is promising. In addition, we present an evaluation of several block-matching and optical flow motion estimation techniques.

  18. Guideline of choosing optical delay time to optimize the performance of an interferometry-based in-band OSNR monitor.

    Science.gov (United States)

    Huang, Zhuili; Qiu, Jifang; Wang, Sheng; Ji, Xue; Tian, Ye; Kong, Deming; Yu, Miao; Wu, Jian

    2016-09-15

    We propose and experimentally demonstrate a guideline of choosing optical delay time in an interferometry-based optical signal-to-noise ratio (OSNR) monitor to achieve the optimal monitoring performance by calculating the normalized autocorrelation function of the channel noise. According to the position of the first zero point of the calculated autocorrelation function, the delay time is determined; consequently the OSNR monitoring range up to 29 dB (within an error≤±0.5  dB) is achieved for 112 Gb/s PM-QPSK signal with a channel filter bandwidth of 100 GHz. The experimental results also show that the guideline is applicable to channel filters with different bandwidths and shapes. In simulation, the guideline is proven to be valid in OSNR monitoring for a 28 Gbaud PM-16QAM signal and a 50 Gbaud PM-QPSK signal.

  19. A heuristic optimization approach for Air Quality Monitoring Network design with the simultaneous consideration of multiple pollutants.

    Science.gov (United States)

    Elkamel, A; Fatehifar, E; Taheri, M; Al-Rashidi, M S; Lohi, A

    2008-08-01

    An interactive optimization methodology for allocating the number and configuration of an Air Quality Monitoring Network (AQMN) in a vast area to identify the impact of multiple pollutants is described. A mathematical model based on the multiple cell approach (MCA) was used to create monthly spatial distributions for the concentrations of the pollutants emitted from different emission sources. These spatial temporal patterns were subject to a heuristic optimization algorithm to identify the optimal configuration of a monitoring network. The objective of the optimization is to provide maximum information about multi-pollutants (i.e., CO, NO(x) and SO(2)) emitted from each source within a given area. The model was applied to a network of existing refinery stacks and the results indicate that three stations can provide a total coverage of more than 70%. In addition, the effect of the spatial correlation coefficient (R(C)) on total area coverage was analyzed. The modeling results show that as the cutoff correlation coefficient R(C) is increased from 0.75 to 0.95, the number of monitoring stations required for total coverage is increased. A high R(C) based network may not necessarily cover the entire region, but the covered region will be well represented. A low R(C) based network, on the other hand, would offer more coverage of the region, but the covered region may not be satisfactorily represented.

  20. Y-12 Groundwater Protection Program Monitoring Optimization Plan for Groundwater Monitoring Wells at the U.S. Department of Energy Y-12 National Security Complex, Oak Ridge, Tennessee

    Energy Technology Data Exchange (ETDEWEB)

    None, None

    2017-04-01

    This document is the monitoring optimization plan for groundwater monitoring wells associated with the U.S. Department of Energy (DOE) Y-12 National Security Complex (Y-12) in Oak Ridge, Tennessee. The plan describes the technical approach that is implemented under the Y-12 Groundwater Protection Program (GWPP) to focus available resources on the monitoring wells at Y-12 that provide the most useful hydrologic and groundwater quality monitoring data. The technical approach is based on the GWPP status designation for each well. Under this approach, wells granted “active” status are used by the GWPP for hydrologic monitoring and/or groundwater quality sampling, whereas wells granted “inactive” status are not used for either purpose. The status designation also defines the frequency at which the GWPP will inspect applicable wells, the scope of these well inspections, and extent of any maintenance actions initiated by the GWPP. Details regarding the ancillary activities associated with implementation of this plan (e.g., well inspection) are deferred to the referenced GWPP plans.

  1. Y-12 Groundwater Protection Program Monitoring Optimization Plan For Groundwater Monitoring Wells At The U.S. Department Of Energy Y-12 National Security Complex, Oak Ridge, Tennessee

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2013-09-01

    This document is the monitoring optimization plan for groundwater monitoring wells associated with the U.S. Department of Energy (DOE) Y-12 National Security Complex (Y-12) in Oak Ridge, Tennessee. The plan describes the technical approach that is implemented under the Y-12 Groundwater Protection Program (GWPP) to focus available resources on the monitoring wells at Y-12 that provide the most useful hydrologic and groundwater quality monitoring data. The technical approach is based on the GWPP status designation for each well. Under this approach, wells granted "active" status are used by the GWPP for hydrologic monitoring and/or groundwater quality sampling, whereas wells granted "inactive" status are not used for either purpose. The status designation also defines the frequency at which the GWPP will inspect applicable wells, the scope of these well inspections, and extent of any maintenance actions initiated by the GWPP. Details regarding the ancillary activities associated with implementation of this plan (e.g., well inspection) are deferred to the referenced GWPP plans. This plan applies to groundwater wells associated with Y-12 and related waste management areas and facilities located within three hydrogeologic regimes.

  2. Strategies to optimize monitoring schemes of recreational waters from Salta, Argentina: a multivariate approach

    Science.gov (United States)

    Gutiérrez-Cacciabue, Dolores; Teich, Ingrid; Poma, Hugo Ramiro; Cruz, Mercedes Cecilia; Balzarini, Mónica; Rajal, Verónica Beatriz

    2014-01-01

    Several recreational surface waters in Salta, Argentina, were selected to assess their quality. Seventy percent of the measurements exceeded at least one of the limits established by international legislation becoming unsuitable for their use. To interpret results of complex data, multivariate techniques were applied. Arenales River, due to the variability observed in the data, was divided in two: upstream and downstream representing low and high pollution sites, respectively; and Cluster Analysis supported that differentiation. Arenales River downstream and Campo Alegre Reservoir were the most different environments and Vaqueros and La Caldera Rivers were the most similar. Canonical Correlation Analysis allowed exploration of correlations between physicochemical and microbiological variables except in both parts of Arenales River, and Principal Component Analysis allowed finding relationships among the 9 measured variables in all aquatic environments. Variable’s loadings showed that Arenales River downstream was impacted by industrial and domestic activities, Arenales River upstream was affected by agricultural activities, Campo Alegre Reservoir was disturbed by anthropogenic and ecological effects, and La Caldera and Vaqueros Rivers were influenced by recreational activities. Discriminant Analysis allowed identification of subgroup of variables responsible for seasonal and spatial variations. Enterococcus, dissolved oxygen, conductivity, E. coli, pH, and fecal coliforms are sufficient to spatially describe the quality of the aquatic environments. Regarding seasonal variations, dissolved oxygen, conductivity, fecal coliforms, and pH can be used to describe water quality during dry season, while dissolved oxygen, conductivity, total coliforms, E. coli, and Enterococcus during wet season. Thus, the use of multivariate techniques allowed optimizing monitoring tasks and minimizing costs involved. PMID:25190636

  3. SOI built-in heat spreader with temperature and pressure integrated sensors for cooling optimization and in situ monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Bercu, Bogdan, E-mail: bogdan_bercu@yahoo.com [Institute of Microelectronics, Electromagnetism and Photonics (IMEP-LAHC) 3, parvis Louis Neel - BP 257, 38016 Grenoble Cedex 01 (France); Montes, Laurent; Morfouli, Panagiota [Institute of Microelectronics, Electromagnetism and Photonics (IMEP-LAHC) 3, parvis Louis Neel - BP 257, 38016 Grenoble Cedex 01 (France)

    2011-03-15

    This contribution presents an original solution for sensor integration into a heat spreader which is directly micromachined into the silicon substrate of the device to be cooled. Having both a high thermal conductivity coefficient and a high level of miniaturization, the vapor chamber heat spreader provides a high robustness due to the absence of any moving pumping parts. Simulation results as well as experimental results obtained with a prototype of the heat spreader with integrated temperature and pressure microsensors are presented. The results concerning device cooling optimization using the integrated sensors are highlighting the interest of this approach for accurate in situ monitoring and cooling optimization of silicon-integrated heat spreaders.

  4. Multi-objective optimization of long-term groundwater monitoring network design using a probabilistic Pareto genetic algorithm under uncertainty

    Science.gov (United States)

    Luo, Qiankun; Wu, Jianfeng; Yang, Yun; Qian, Jiazhong; Wu, Jichun

    2016-03-01

    Optimal design of long term groundwater monitoring (LTGM) network often involves conflicting objectives and substantial uncertainty arising from insufficient hydraulic conductivity (K) data. This study develops a new multi-objective simulation-optimization model involving four objectives: minimizations of (i) the total sampling costs for monitoring contaminant plume, (ii) mass estimation error, (iii) the first moment estimation error, and (iv) the second moment estimation error of the contaminant plume, for LTGM network design problems. Then a new probabilistic Pareto genetic algorithm (PPGA) coupled with the commonly used flow and transport codes, MODFLOW and MT3DMS, is developed to search for the Pareto-optimal solutions to the multi-objective LTGM problems under uncertainty of the K-fields. The PPGA integrates the niched Pareto genetic algorithm with probabilistic Pareto sorting scheme to deal with the uncertainty of objectives caused by the uncertain K-field. Also, the elitist selection strategy, the operation library and the Pareto solution set filter are conducted to improve the diversity and reliability of Pareto-optimal solutions by the PPGA. Furthermore, the sampling strategy of noisy genetic algorithm is adopted to cope with the uncertainty of the K-fields and improve the computational efficiency of the PPGA. In particular, Monte Carlo (MC) analysis is employed to evaluate the effectiveness of the proposed methodology in finding Pareto-optimal sampling network designs of LTGM systems through a two-dimensional hypothetical example and a three-dimensional field application in Indiana (USA). Comprehensive analysis demonstrates that the proposed PPGA can find Pareto optimal solutions with low variability and high reliability and is a promising tool for optimizing multi-objective LTGM network designs under uncertainty.

  5. Selecting optimal monitoring site locations for peak ambient particulate material concentrations using the MM5-CAMx4 numerical modelling system.

    Science.gov (United States)

    Sturman, Andrew; Titov, Mikhail; Zawar-Reza, Peyman

    2011-01-15

    Installation of temporary or long term monitoring sites is expensive, so it is important to rationally identify potential locations that will achieve the requirements of regional air quality management strategies. A simple, but effective, numerical approach to selecting ambient particulate matter (PM) monitoring site locations has therefore been developed using the MM5-CAMx4 air pollution dispersion modelling system. A new method, 'site efficiency,' was developed to assess the ability of any monitoring site to provide peak ambient air pollution concentrations that are representative of the urban area. 'Site efficiency' varies from 0 to 100%, with the latter representing the most representative site location for monitoring peak PM concentrations. Four heavy pollution episodes in Christchurch (New Zealand) during winter 2005, representing 4 different aerosol dispersion patterns, were used to develop and test this site assessment technique. Evaluation of the efficiency of monitoring sites was undertaken for night and morning aerosol peaks for 4 different particulate material (PM) spatial patterns. The results demonstrate that the existing long term monitoring site at Coles Place is quite well located, with a site efficiency value of 57.8%. A temporary ambient PM monitoring site (operating during winter 2006) showed a lower ability to capture night and morning peak aerosol concentrations. Evaluation of multiple site locations used during an extensive field campaign in Christchurch (New Zealand) in 2000 indicated that the maximum efficiency achieved by any site in the city would be 60-65%, while the efficiency of a virtual background site is calculated to be about 7%. This method of assessing the appropriateness of any potential monitoring site can be used to optimize monitoring site locations for any air pollution measurement programme.

  6. Optimization of monitoring aerodispersive pollution of the troposphere in urban areas

    Energy Technology Data Exchange (ETDEWEB)

    Binkova, B.; Binek, B.

    1986-04-01

    This paper discusses development of the AIM automatic system for monitoring air pollution in Prague. The system consists of a number of stationary and mobile stations which determine concentration of sulfur dioxide, nitrogen oxides, aerosols and trace elements in the air. Design and operation of the UKE-1 Malesice monitoring station which is one of the main elements of the AIM monitoring system is discussed. Types of measuring systems, measuring instruments, methods for air sampling and position of sampling instruments are described. On the example of the Malesice station some general problems associated with site selection for systems monitoring air pollution from coal combustion and from other pollution sources are evaluated. (26 refs.)

  7. Franchise Values, Regulatory Monitoring, and Capital Requirements in Optimal Bank Regulation

    DEFF Research Database (Denmark)

    Andersen, Thomas Barnebeck; Harr, Thomas

    2008-01-01

    This paper demonstrates that financial deregulation is likely to make standard prudential regulatory instruments less effective in curbing excessive risk-taking incentives among banks. This has interesting implications for optimal bank regulation. When there is an increase in competition......, the optimal capital requirement should increase, whereas regulatory auditing should decrease. In contrast, when there is an increase in gambling yields, auditing should always increase, whereas the optimal capital requirement may increase or decrease....

  8. Riverdale House, Blackwater, Ardnacrusha, Clare.

    LENUS (Irish Health Repository)

    O'Farrell, Anne M

    2010-11-18

    ABSTRACT: BACKGROUND: The objective of this study was to establish baseline data on alcohol consumption patterns, behaviours and harms among amateur sportsmen in the Republic of Ireland. FINDINGS: The study presents findings from the baseline survey for a cluster randomised controlled trial to evaluate the effectiveness of a community intervention programme to reduce problem alcohol use among a representative sample of Gaelic Athletic Association (GAA) clubs in two counties in the Republic of Ireland. Self reported alcohol use, prevalence of binge drinking, AUDIT scores and alcohol-related harms were assessed in amateur GAA sportsmen aged 16 years and over. Nine hundred and sixty (960) players completed questionnaires (72% response rate). Mean age was 24.0 years (S.D. 5.2). Of those aged 18 years or over, 75% had post-primary education; most (864, 90%) were current drinkers and 8.2% were regular smokers. The self-reported average yearly alcohol consumption was 12.5 litres. Almost one third (31%) of current drinkers reported drinking over the recommended limit of 21 standard drinks per week and just over half (54.3 %) reported drinking 6 or more standard drinks in a row at least once a week (regular binge drinking). Of those who (self) completed the Alcohol Use Disorder Identification Test (AUDIT) questionnaire, three-quarters (74.7%) had a score of 8 or more; 11.5% had a score of 20 or above warranting referral for diagnostic evaluation and treatment. Almost all (87.6%) of the 864 drinkers reported experiencing at least one harm due to their drinking. These alcohol misuse outcomes were higher than those found in a nationally representative sample of males of a similar age. There were strong associations between regular binge drinking and reporting harms such as being in a fight (adjusted odds ratio (OR) 2.02, p<0.001), missing time from work or college (adjusted OR 1.39, p=0.04) or being in an accident (adjusted OR 1.78, p=0.04). CONCLUSIONS: These male amateur sportsmen reported high rates of alcohol consumption and alcohol-related harm.

  9. BASEMAP, CLARE COUNTY, MI, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

  10. Optimal sensors placement for monitoring a steam condenser of the distillation column using bond graph approach

    Directory of Open Access Journals (Sweden)

    Samia LATRECHE

    2014-11-01

    Full Text Available This paper deals with monitoring of a process engineering system. The steam condenser was monitored by bond graph tool. The model was constituted by nine capacitive and resistive elements which needed minimum of sensors. This method was based on Analytical Redundancy Relations which were generated from a condenser model and represented residuals. After substitution, we obtained the placement of six sensors which guaranteed the monitoring of nine components. A fault is created by the abrupt annulment of the fluid flow value provided by the source. The block diagram is elaborated on SYMBOLS software and we supervised the residuals evolution.

  11. Optimization of environmental monitoring as a strategic component of economic security of Ukraine

    Directory of Open Access Journals (Sweden)

    V.H. Potapenko

    2013-06-01

    Full Text Available The aim of the article. The aim of this article is to analyze situation in the governmental environmental monitoring system and its improve of control over natural resources for economic security.The results of the analysis. The organizational structure of environmental monitoring is determined by a number of documents, including CMU On Approval of State Environmental Monitoring System according to which the environmental monitoring carried out by: the Ministry of Environment, the State Service for Emergency Situations, Ministry of Health, Ministry of Agriculture, State Committee, State Water Management Committee, State Committee for Land Resources, State Committee on Housing State Committee for Geology and use of mineral resources.The budget of environmental monitoring has been considered and analyzed. The conclusion is that financing is ineffective and insufficient. The GIS, database for the system of environmental monitoring will be on line open. The open access to these data can also become the instrument of control for international and civil organizations and business structures.The structure of environmental monitoring system is inefficient. The soviet system of parameters has not been harmonized with European standards. Eight departments which provide data decide themselves what and where they will measure using the available equipment, and do not follow the provisions of normative documents. The system of bilateral agreements is inefficient instrument. The Ministry of Nature is not the owner of information, it is only the user. The laws, or a draft of laws concerning the system of environmental monitoring, which will include the real conditions of budget, international requirements to environmental information and equipment do not prepared.Conclusions and directions of further researches. The conclusion is made that it is expedient to revise the system structure of the environmental monitoring as the element of the system of providing

  12. Closing the loop from continuous M-health monitoring to fuzzy logic-based optimized recommendations.

    Science.gov (United States)

    Benharref, Abdelghani; Serhani, Mohamed Adel; Nujum, Al Ramzana

    2014-01-01

    Continuous sensing of health metrics might generate a massive amount of data. Generating clinically validated recommendations, out of these data, to patients under monitoring is of prime importance to protect them from risk of falling into severe health degradation. Physicians also can be supported with automated recommendations that gain from historical data and increasing learning cycles. In this paper, we propose a Fuzzy Expert System that relies on data collected from continuous monitoring. The monitoring scheme implements preprocessing of data for better data analytics. However, data analytics implements the loopback feature in order to constantly improve fuzzy rules, knowledge base, and generated recommendations. Both techniques reduced data quantity, improved data quality and proposed recommendations. We evaluate our solution through a series of experiments and the results we have obtained proved that our fuzzy expert system combined with the intelligent monitoring and analytic techniques provide a high accuracy of collected data and valid advices.

  13. Optimism

    Science.gov (United States)

    Carver, Charles S.; Scheier, Michael F.; Segerstrom, Suzanne C.

    2010-01-01

    Optimism is an individual difference variable that reflects the extent to which people hold generalized favorable expectancies for their future. Higher levels of optimism have been related prospectively to better subjective well-being in times of adversity or difficulty (i.e., controlling for previous well-being). Consistent with such findings, optimism has been linked to higher levels of engagement coping and lower levels of avoidance, or disengagement, coping. There is evidence that optimism is associated with taking proactive steps to protect one's health, whereas pessimism is associated with health-damaging behaviors. Consistent with such findings, optimism is also related to indicators of better physical health. The energetic, task-focused approach that optimists take to goals also relates to benefits in the socioeconomic world. Some evidence suggests that optimism relates to more persistence in educational efforts and to higher later income. Optimists also appear to fare better than pessimists in relationships. Although there are instances in which optimism fails to convey an advantage, and instances in which it may convey a disadvantage, those instances are relatively rare. In sum, the behavioral patterns of optimists appear to provide models of living for others to learn from. PMID:20170998

  14. Optimal on-airport monitoring of the integrity of GPS-based landing systems

    Science.gov (United States)

    Xie, Gang

    2004-11-01

    The Global Positioning System (GPS) is a satellite-based radio navigation system. The Local Area Augmentation System (LAAS) is a version of Differential GPS (DGPS) designed to reliably support aircraft precision approaches. The Integrity Monitor Testbed (IMT) is a prototype of the LAAS Ground Facility (LGF) that is used to evaluate whether the LGF can meet system integrity requirements. To insure high integrity, the IMT has a variety of monitors to detect all possible failures. It also contains a failure-handling logic, known as Executive Monitoring (EXM), to exclude faulty measurements and recover once the failure disappears. Spatial ionospheric gradients are major threats to the LAAS. One focus of this thesis is exploring methods to quickly detect ionospheric gradients given the required low probability of false alarms. The first part of the thesis introduces GPS, LAAS, and the IMT and explains the algorithms and functionalities of IMT integrity monitors in detail. It then analyzes the failure responses of the integrity monitors under the most general measurement failure model. This analysis not only qualitatively maps the integrity monitors into the entire failure space, but also provides a tool to quantitatively compare the performance of different integrity monitors. In addition, the analysis examines the limitations of the existing monitors in detecting small but hazardous ionospheric gradients. The divergence Cumulative Sum (CUSUM) method is then derived and assessed. It can reduce the time required to detect marginal ionospheric gradients by about 30%. With the divergence CUSUM method implemented in the IMT, system integrity and performance are greatly improved. Different monitors can respond to the same failures. The last part of this thesis shows that the combination of these different monitors can detect certain failures more quickly than any individual monitor. This idea leads to a new method, called failure-specific testing, which can significantly

  15. A data fusion-based methodology for optimal redesign of groundwater monitoring networks

    Science.gov (United States)

    Hosseini, Marjan; Kerachian, Reza

    2017-09-01

    In this paper, a new data fusion-based methodology is presented for spatio-temporal (S-T) redesigning of Groundwater Level Monitoring Networks (GLMNs). The kriged maps of three different criteria (i.e. marginal entropy of water table levels, estimation error variances of mean values of water table levels, and estimation values of long-term changes in water level) are combined for determining monitoring sub-areas of high and low priorities in order to consider different spatial patterns for each sub-area. The best spatial sampling scheme is selected by applying a new method, in which a regular hexagonal gridding pattern and the Thiessen polygon approach are respectively utilized in sub-areas of high and low monitoring priorities. An Artificial Neural Network (ANN) and a S-T kriging models are used to simulate water level fluctuations. To improve the accuracy of the predictions, results of the ANN and S-T kriging models are combined using a data fusion technique. The concept of Value of Information (VOI) is utilized to determine two stations with maximum information values in both sub-areas with high and low monitoring priorities. The observed groundwater level data of these two stations are considered for the power of trend detection, estimating periodic fluctuations and mean values of the stationary components, which are used for determining non-uniform sampling frequencies for sub-areas. The proposed methodology is applied to the Dehgolan plain in northwestern Iran. The results show that a new sampling configuration with 35 and 7 monitoring stations and sampling intervals of 20 and 32 days, respectively in sub-areas with high and low monitoring priorities, leads to a more efficient monitoring network than the existing one containing 52 monitoring stations and monthly temporal sampling.

  16. Optimized Enhanced Bioremediation Through 4D Geophysical Monitoring and Autonomous Data Collection, Processing and Analysis

    Science.gov (United States)

    2014-09-01

    monitoring of primary production of turbidite reservoirs at South Timbalier Block 295, offshore Louisiana, Gulf of Mexico ." Geophysics 65(2): 351-367...Geoelectrical Effects Associated With the Presence of Bacteria in Contaminated Groundwater. EOS Trans. AGU, 85(47), Fall Meet. Suppl, Abstract B51F-02...al. (2005). Web Based Autonomous Geophysical/Hydrological Monitoring of the Gilt Edge Mine Site: Implementation and Results. Eos Trans. AGU, 86(18

  17. Optimized high performance liquid chromatography-ultraviolet detection method using core-shell particles for the therapeutic monitoring of methotrexate$

    Institute of Scientific and Technical Information of China (English)

    Milagros Montemurro; María M. De Zan n; Juan C. Robles

    2016-01-01

    Methotrexate (MTX) is an antineoplastic drug, and due to its high toxicity, the therapeutic drug mon-itoring is strictly conducted in the clinical practice. The chemometric optimization and validation of a high performance liquid chromatography (HPLC) method using core–shell particles is presented for the determination of MTX in plasma during therapeutic monitoring. Experimental design and response surface methodology (RSM) were applied for the optimization of the chromatographic system and the analyte extraction step. A Poroshell 120 EC-C18 (3.0 mm ? 75 mm, 2.7μm) column was used to obtain a fast and efficient separation in a complete run time of 4 min. The optimum conditions for the chroma-tographic system resulted in a mobile phase consisting of acetic acid/sodium acetate buffer solution (85.0 mM, pH¼4.00) and 11.2%of acetonitrile at a flow rate of 0.4 mL/min. Selectivity, linearity, accuracy and precision were demonstrated in a range of 0.10–6.0 mM of MTX. The application of the optimized method required only 150 mL of patient plasma and a low consumption of solvent to provide rapid re-sults.

  18. Investigation of Fossil Insect Systematics of Specimens Collected at the Clare Quarry Site in the Florissant Fossil Beds, Florissant, Colorado from 1996 to Present

    Science.gov (United States)

    Cancellare, J. A.; Villalobos, J. I.; Lemone, D.

    2012-12-01

    The Clare Quarry is located in the town of Florissant, Teller County, Colorado, approximately 30 miles west of Colorado Springs on State Highway 27. The elevation at the quarry face is 2500 meters ASL. Ar40/Ar39 dating of the upper beds of the Florissant Formation indicates an age of 34.07 +/- 0.10 Ma.An Oreodont fossil jaw and other mammalian fossils place the formation in the Chadronian Age.The basin in which the formation lies is undergirded by Wall Mountain Tuff dated at 37Ma, which sits on Pike's Peak Granite, which is dated at1080 Ma. In the Late Eocene the Florissant region was lacustrine in nature due to the damning of the river valley which runs north into Florissant. The ash and lahars from volcanic eruptions from the Thirty-nine Mile Volcano Field formed impoundments that produced shallow lakes for what is thought to been a period for 5000 years. Repeated ash falls placed plant matter and insect material in the lakes and streams that were formed intermittently during the period. The ash layers in the Florissant Formation are very fine grained, and contain diatomaceous mats that formed on the lake deposited ash layers aiding in the preservation of plant and insects material. Previous work on Florissant Fossils has been done by Lesquereaux (plants) 1878, Scudder (insects) 1890, and Mc Ginitie (plants) 1953. This project began 17 years ago and has consisted of collection trips ranging from one to eight days in the summers at a proprietary quarry owned land adjacent to The Florissant Fossil Beds National Monument. The collection consists of 2700 catalogued plants, insects, and fish fossils. Of this number, 513 are insect fossils (19% of the total collection). Quality of preservation ranges from very poor to very good with the average qualitative evaluation between poor to fair. The largest series identied to family are Tipulids (Craneflies) with 23 specimens in the series. In this series wing venation is often incomplete and smaller characters including

  19. 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.

  20. Demonstration and Validation of the Geostatistical Temporal-Spatial Algorithm (GTS) for Optimization of Long-Term Monitoring (LTM) of Groundwater at Military and Government Sites

    Science.gov (United States)

    2010-08-01

    Validation of the Geostatistical Temporal-Spatial Algorithm (GTS) for Optimization of Long-Term Monitoring (LTM) of Groundwater at Military and... Geostatistical Temporal-Spatial Algorithm (GTS) for Optimization of Long-Term Monitoring (LTM) of Groundwater at Military and Government Sites 5a. CONTRACT NUMBER...ABSTRACT The primary objective of this ESTCP project was to demonstrate and validate use of the Geostatistical Temporal-Spatial (GTS) groundwater

  1. The study of mechanism synthesis and optimization for the mechanism of fire-monitor with straight flow channel

    Science.gov (United States)

    Liu, Ping'an; Wang, Xiaoliang

    2017-01-01

    Design of a new fire-monitor through the substitution of the traditional bend flow channel with a straight tube is presented in this paper, in order to deduce the pressure drop when hydraulic fluid goes through the channel, and the serial-parallel structure with a four-bar linkage plus a revolute pair is used so as to realize two rotating degrees of freedom. The type synthesis of mechanism, the dimensional optimization of the four-bar linkage, as well as the design of the oscillating mechanism is delivered in sequence, and the model has also been developed, finally. All the work has achieved the expected results, which has guidance to the redevelopment of fire-monitor with high efficiency and lower energy assumption.

  2. Optimizing the transient transfection process of HEK-293 suspension cells for protein production by nucleotide ratio monitoring

    DEFF Research Database (Denmark)

    de Los Milagros Bassani Molinas, Maria; Beer, Christiane; Hesse, F

    2014-01-01

    Large scale, transient gene expression (TGE) is highly dependent of the physiological status of a cell line. Therefore, intracellular nucleotide pools and ratios were used for identifying and monitoring the optimal status of a suspension cell line used for TGE. The transfection efficiency upon......-dependent manner and could be used to distinguish early- from late-passage cells. The observed effects were also dependent on the presence of serum in the culture. Nucleotide ratios were shown being applied to investigate the optimal passage number of cultured cell lines for achieving a maximum productivity...... polyethyleneimine (PEI)-mediated transient gene delivery into HEK-293 cells cultured in suspension was investigated to understand the effect of different culture and transfection conditions as well as the significance of the culture age and the quality of the cell line used. Based on two different bicistronic model...

  3. Cyberphysical systems for epilepsy and related brain disorders multi-parametric monitoring and analysis for diagnosis and optimal disease management

    CERN Document Server

    Antonopoulos, Christos

    2015-01-01

    This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional “routine” clinic-based service purposes, at reduced cost, enhanced capability, and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient, and is demonstrated in several case studies.

  4. Optimizing the transient transfection process of HEK-293 suspension cells for protein production by nucleotide ratio monitoring

    DEFF Research Database (Denmark)

    de Los Milagros Bassani Molinas, Maria; Beer, Christiane; Hesse, F

    2014-01-01

    Large scale, transient gene expression (TGE) is highly dependent of the physiological status of a cell line. Therefore, intracellular nucleotide pools and ratios were used for identifying and monitoring the optimal status of a suspension cell line used for TGE. The transfection efficiency upon...... polyethyleneimine (PEI)-mediated transient gene delivery into HEK-293 cells cultured in suspension was investigated to understand the effect of different culture and transfection conditions as well as the significance of the culture age and the quality of the cell line used. Based on two different bicistronic model...

  5. Electromagnetic Design and Optimization of Directivity of Stripline Beam Position Monitors for the High Luminosity Large Hadron Collider

    CERN Document Server

    Draskovic, Drasko; Jones, Owain Rhodri; Lefèvre, Thibaut; Wendt, Manfred

    2015-01-01

    This paper presents the preliminary electromagnetic design of a stripline Beam Position Monitor (BPM) for the High Luminosity program of the Large Hadron Collider (HL-LHC) at CERN. The design is fitted into a new octagonal shielded Beam Screen for the low-beta triplets and is optimized for high directivity. It also includes internal Tungsten absorbers, required to reduce the energy deposition in the superconducting magnets. The achieved broadband directivity in wakefield solver simulations presents significant improvement over the directivity of the current stripline BPMs installed in the LHC.

  6. Optimized MPPT-based converter for TEG energy harvester to power wireless sensor and monitoring system in nuclear power plant

    Science.gov (United States)

    Xing, Shaoxu; Anakok, Isil; Zuo, Lei

    2017-04-01

    Accidents like Fukushima Disasters push people to improve the monitoring systems for the nuclear power plants. Thus, various types of energy harvesters are designed to power these systems and the Thermoelectric Generator (TEG) energy harvester is one of them. In order to enhance the amount of harvested power and the system efficiency, the power management stage needs to be carefully designed. In this paper, a power converter with optimized Maximum Power Point Tracking (MPPT) is proposed for the TEG Energy Harvester to power the wireless sensor network in nuclear power plant. The TEG Energy Harvester is installed on the coolant pipe of the nuclear plant and harvests energy from its heat energy while the power converter with optimized MPPT can make the TEG Energy Harvester output the maximum power, quickly response to the voltage change and provide sufficient energy for wireless sensor system to monitor the operation of the nuclear power plant. Due to the special characteristics of the Single-Ended Primary Inductor Converter (SEPIC) when it is working in the Discontinuous Inductor Current Mode (DICM) and Continuous Conduction Mode (CCM), the MPPT method presented in this paper would be able to control the converter to achieve the maximum output power in any working conditions of the TEG system with a simple circuit. The optimized MPPT algorithm will significantly reduce the cost and simplify the system as well as achieve a good performance. Experiment test results have shown that, comparing to a fixed- duty-cycle SEPIC which is specifically designed for the working on the secondary coolant loop in nuclear power plant, the optimized MPPT algorithm increased the output power by 55%.

  7. Wide-range structurally optimized channel for monitoring the certified power of small-core reactors

    Energy Technology Data Exchange (ETDEWEB)

    Koshelev, A. S., E-mail: alexsander.coshelev@yandex.ru; Kovshov, K. N.; Ovchinnikov, M. A.; Pikulina, G. N.; Sokolov, A. B. [Russian Federal Nuclear Center—All-Russian Scientific Research Institute of Experimental Physics (Russian Federation)

    2016-12-15

    The results of tests of a prototype version of a channel for monitoring the certified power of small-core reactors performed at the BR-K1 reactor at the All-Russian Scientific Research Institute of Experimental Physics are reported. An SNM-11 counter and commercial KNK-4 and KNK-3 compensated ion chambers were used as neutron detectors in the tested channel, and certified NCMM and CCMM measurement modules controlled by a PC with specialized software were used as measuring instruments. The specifics of metrological assurance of calibration of the channel in the framework of reactor power monitoring are discussed.

  8. An in-situ monitoring technique for optimizing antireflection coatings using a monolithic integrated photodetector

    DEFF Research Database (Denmark)

    Saini, Vikram; Yvind, Kresten; Larsson, David

    2006-01-01

    A very low reflectivity of the order of 10-4 is demonstrated for dual-layer anti-reflection coatings on normal facet semiconductor lasers, by integrated in situ monitoring. The method has been tested on three and eight quantum-well InGaAsP ridge lasers that consist of a gain section and an integr...

  9. Development and optimization of the Suna trap as a tool for mosquito monitoring and control

    NARCIS (Netherlands)

    Hiscox, A.F.; Otieno, B.; Kibet, A.; Mweresa, C.K.; Omusula, P.; Geier, M.; Rose, A.; Mukabana, W.R.; Takken, W.

    2014-01-01

    Background Monitoring of malaria vector populations provides information about disease transmission risk, as well as measures of the effectiveness of vector control. The Suna trap is introduced and evaluated with regard to its potential as a new, standardized, odour-baited tool for mosquito monitori

  10. Exercise strategies to optimize glycemic control in type 2 diabetes : a continuing glucose monitoring perspective

    NARCIS (Netherlands)

    van Dijk, Jan-Willem; van Loon, Luc J C

    2015-01-01

    IN BRIEF The introduction of continuous glucose monitoring (CGM) several years ago enabled researchers to investigate the impact of exercise strategies on 24-hour glycemic control. Such unique information on the glucoregulatory properties of exercise will ultimately lead to more effective exercise p

  11. Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system

    Science.gov (United States)

    Pradeep, M. V. K.; Balbir, S. M. S.; Norani, M. M.

    2016-11-01

    Demand for electricity in Malaysia has seen a substantial hike in light of the nation's rapid economic development. The current method of generating electricity is through the combustion of fossil fuels which has led to the detrimental effects on the environment besides causing social and economic outbreaks due to its highly volatile prices. Thus the need for a sustainable energy source is paramount and one that is quickly gaining acceptance is solar energy. However, due to the various environmental and geographical factors that affect the generation of solar electricity, the capability of solar electricity generating system (SEGS) is unable to compete with the high conversion efficiencies of conventional energy sources. In order to effectively monitor SEGS, this study is proposing a performance monitoring system that is capable of detecting drops in the system's performance for parallel networks through a diagnostic mechanism. The performance monitoring system consists of microcontroller connected to relevant sensors for data acquisition. The acquired data is transferred to a microcomputer for software based monitoring and analysis. In order to enhance the interception of sunlight by the SEGS, a sensor based sun tracking system is interfaced to the same controller to allow the PV to maneuver itself autonomously to an angle of maximum sunlight exposure.

  12. Detection Optimization of the Progressive Multi-Channel Correlation Algorithm Used in Infrasound Nuclear Treaty Monitoring

    Science.gov (United States)

    2013-03-01

    ultimately improved the quality of this written document . Anthony M. Runco, Jr. vii Table of Contents Page Abstract...Centre IMS International Monitoring System LANL Los Alamos National Laboratory LRT Likelihood ratio test LTA Long-term-power-average MAP Maximum a...station performance. The document then concludes with recommendations for future work. 6 II. Literature Review 2.1

  13. Optimized Distributed Feedback Dye Laser Sensor for Real-Time Monitoring of Small Molecule Diffusion

    DEFF Research Database (Denmark)

    Vannahme, Christoph; Smith, Cameron; Dufva, Martin

    2014-01-01

    Nanoimprinted distributed feedback dye laser sensors featuring multilayer slab waveguides are presented. A simple yet precise analytical model is used to optimize the lasers in order to give highest sensitivity and it is found that the thickness of a high index TiO2 top layer is the most importan...

  14. Optimal design of monitoring networks for multiple groundwater quality parameters using a Kalman filter: application to the Irapuato-Valle aquifer.

    Science.gov (United States)

    Júnez-Ferreira, H E; Herrera, G S; González-Hita, L; Cardona, A; Mora-Rodríguez, J

    2016-01-01

    A new method for the optimal design of groundwater quality monitoring networks is introduced in this paper. Various indicator parameters were considered simultaneously and tested for the Irapuato-Valle aquifer in Mexico. The steps followed in the design were (1) establishment of the monitoring network objectives, (2) definition of a groundwater quality conceptual model for the study area, (3) selection of the parameters to be sampled, and (4) selection of a monitoring network by choosing the well positions that minimize the estimate error variance of the selected indicator parameters. Equal weight for each parameter was given to most of the aquifer positions and a higher weight to priority zones. The objective for the monitoring network in the specific application was to obtain a general reconnaissance of the water quality, including water types, water origin, and first indications of contamination. Water quality indicator parameters were chosen in accordance with this objective, and for the selection of the optimal monitoring sites, it was sought to obtain a low-uncertainty estimate of these parameters for the entire aquifer and with more certainty in priority zones. The optimal monitoring network was selected using a combination of geostatistical methods, a Kalman filter and a heuristic optimization method. Results show that when monitoring the 69 locations with higher priority order (the optimal monitoring network), the joint average standard error in the study area for all the groundwater quality parameters was approximately 90 % of the obtained with the 140 available sampling locations (the set of pilot wells). This demonstrates that an optimal design can help to reduce monitoring costs, by avoiding redundancy in data acquisition.

  15. Optimization of a Large-scale Microseismic Monitoring Network in Northern Switzerland

    Science.gov (United States)

    Kraft, T.; Husen, S.; Mignan, A.; Bethmann, F.

    2011-12-01

    We have performed a computer aided network optimization for a regional scale microseismic network in northeastern Switzerland. The goal of the optimization was to find the geometry and size of the network that assures a location precision of 0.5 km in the epicenter and 2.0 km in focal depth for earthquakes of magnitude ML>= 1.0, by taking into account 67 existing stations in Switzerland, Germany and Austria, and the expected detectability of Ml 1 earthquakes in the study area. The optimization was based on the simulated annealing approach by Hardt and Scherbaum (1993), that aims to minimize the volume of the error ellipsoid of the linearized earthquake location problem (D-criterion). We have extended their algorithm: to calculate traveltimes of seismic body waves using a finite differences raytracer and the three-dimensional velocity model of Switzerland, to calculate seismic body waves amplitudes at arbitrary stations assuming Brune source model and using scaling relations recently derived for Switzerland, and to estimate the noise level at arbitrary locations within Switzerland using a first order ambient seismic noise model based on 14 land-use classes defined by the EU-project CORINE and open GIS data. Considering 67 existing stations in Switzerland, Germany and Austria, optimizations for networks of 10 to 35 new stations were calculated with respect to 2240 synthetic earthquakes of magnitudes between ML=0.8-1.1. We incorporated the case of non-detections by considering only earthquake-station pairs with an expected signal-to-noise ratio larger than 10 for the considered body wave. Station noise levels were derived from measured ground motion for existing stations and from the first order ambient noise model for new sites. The stability of the optimization result was tested by repeated optimization runs with changing initial conditions. Due to the highly non linear nature and size of the problem, station locations in the individual solutions show small

  16. 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.

  17. On-line near-infrared spectroscopy optimizing and monitoring biotransformation process of γ-aminobutyric acid

    Directory of Open Access Journals (Sweden)

    Guoyu Ding

    2016-06-01

    Full Text Available Near-infrared spectroscopy (NIRS with its fast and nondestructive advantages can be qualified for the real-time quantitative analysis. This paper demonstrates that NIRS combined with partial least squares (PLS regression can be used as a rapid analytical method to simultaneously quantify l-glutamic acid (l-Glu and γ-aminobutyric acid (GABA in a biotransformation process and to guide the optimization of production conditions when the merits of NIRS are combined with response surface methodology. The high performance liquid chromatography (HPLC reference analysis was performed by the o-phthaldialdehyde pre-column derivatization. NIRS measurements of two batches of 141 samples were firstly analyzed by PLS with several spectral pre-processing methods. Compared with those of the HPLC reference analysis, the resulting determination coefficients (R2, root mean square error of prediction (RMSEP and residual predictive deviation (RPD of the external validation for the l-Glu concentration were 99.5%, 1.62 g/L, and 11.3, respectively. For the GABA concentration, R2, RMSEP, and RPD were 99.8%, 4.00 g/L, and 16.4, respectively. This NIRS model was then used to optimize the biotransformation process through a Box-Behnken experimental design. Under the optimal conditions without pH adjustment, 200 g/L l-Glu could be catalyzed by 7148 U/L glutamate decarboxylase (GAD to GABA, reaching 99% conversion at the fifth hour. NIRS analysis provided timely information on the conversion from l-Glu to GABA. The results suggest that the NIRS model can not only be used for the routine profiling of enzymatic conversion, providing a simple and effective method of monitoring the biotransformation process of GABA, but also be considered to be an optimal tool to guide the optimization of production conditions.

  18. On-line near-infrared spectroscopy optimizing and monitoring biotransformation process ofγ-aminobutyric acid$

    Institute of Scientific and Technical Information of China (English)

    Guoyu Ding; Yuanyuan Hou; Jiamin Peng; Yunbing Shen; Min Jiang; Gang Bai

    2016-01-01

    Near-infrared spectroscopy (NIRS) with its fast and nondestructive advantages can be qualified for the real-time quantitative analysis. This paper demonstrates that NIRS combined with partial least squares (PLS) regression can be used as a rapid analytical method to simultaneously quantify L-glutamic acid (L-Glu) andγ-aminobutyric acid (GABA) in a biotransformation process and to guide the optimization of production conditions when the merits of NIRS are combined with response surface methodology. The high performance liquid chromatography (HPLC) reference analysis was performed by the o-phthaldialdehyde pre-column derivatization. NIRS measurements of two batches of 141 samples were firstly analyzed by PLS with several spectral pre-processing methods. Compared with those of the HPLC reference analysis, the resulting determination coefficients (R2), root mean square error of prediction (RMSEP) and residual predictive deviation (RPD) of the external validation for the L-Glu concentration were 99.5%, 1.62 g/L, and 11.3, respectively. For the GABA concentration, R2, RMSEP, and RPD were 99.8%, 4.00 g/L, and 16.4, re-spectively. This NIRS model was then used to optimize the biotransformation process through a Box-Behnken experimental design. Under the optimal conditions without pH adjustment, 200 g/L L-Glu could be catalyzed by 7148 U/L glutamate decarboxylase (GAD) to GABA, reaching 99%conversion at the fifth hour. NIRS analysis provided timely information on the conversion from L-Glu to GABA. The results suggest that the NIRS model can not only be used for the routine profiling of enzymatic conversion, providing a simple and effective method of monitoring the biotransformation process of GABA, but also be considered to be an optimal tool to guide the optimization of production conditions.

  19. Interactive Genetic Algorithm - An Adaptive and Interactive Decision Support Framework for Design of Optimal Groundwater Monitoring Plans

    Science.gov (United States)

    Babbar-Sebens, M.; Minsker, B. S.

    2006-12-01

    In the water resources management field, decision making encompasses many kinds of engineering, social, and economic constraints and objectives. Representing all of these problem dependant criteria through models (analytical or numerical) and various formulations (e.g., objectives, constraints, etc.) within an optimization- simulation system can be a very non-trivial issue. Most models and formulations utilized for discerning desirable traits in a solution can only approximate the decision maker's (DM) true preference criteria, and they often fail to consider important qualitative and incomputable phenomena related to the management problem. In our research, we have proposed novel decision support frameworks that allow DMs to actively participate in the optimization process. The DMs explicitly indicate their true preferences based on their subjective criteria and the results of various simulation models and formulations. The feedback from the DMs is then used to guide the search process towards solutions that are "all-rounders" from the perspective of the DM. The two main research questions explored in this work are: a) Does interaction between the optimization algorithm and a DM assist the system in searching for groundwater monitoring designs that are robust from the DM's perspective?, and b) How can an interactive search process be made more effective when human factors, such as human fatigue and cognitive learning processes, affect the performance of the algorithm? The application of these frameworks on a real-world groundwater long-term monitoring (LTM) case study in Michigan highlighted the following salient advantages: a) in contrast to the non-interactive optimization methodology, the proposed interactive frameworks were able to identify low cost monitoring designs whose interpolation maps respected the expected spatial distribution of the contaminants, b) for many same-cost designs, the interactive methodologies were able to propose multiple alternatives

  20. Optimization of an "in situ" subtidal rocky-shore sampling strategy for monitoring purposes.

    Science.gov (United States)

    Gallon, R K; Ysnel, F; Feunteun, E

    2013-09-15

    This study compared 2 standardized protocols to monitor subtidal rocky shores. We tested 2 sampling methods (temporal unit and quadrat) to assess the efficiency of extracting biota parameters (diversity, abundance, and biomass) of macroalgae, Mollusca, and Porifera with respect to time-cost and the number of sampling units. Species richness and occurrence of rocky subtidal habitats were better described by visual censuses than by quadrats. The same estimated richness was provided by the 2 methods. The association of a visual census and a quadrat was the most efficient way for responding to the requirements. A minimum of 5 sampling units per discrete area is recommended for accurately describing habitats. Then, we tested the sensitivity of the proposed protocol on the Bizeux Islet to study the variations of community structures according to depth and station. Based on the results, recommendations for monitoring purposes have been proposed according to European directives.

  1. Rotating Dual-Wire Beam Profile Monitor Optimized for Use in Merged-Beams Experiments

    Energy Technology Data Exchange (ETDEWEB)

    Seely, D. G. [Albion College; Bruhns, H. [Columbia University; Savin, D. W. [Columbia University; Kvale, Thomas Jay [University of Toledo, Toledo, OH; Galutschek, Ernst [ORNL; Aliabadi, Habib [ORNL; Havener, Charles C [ORNL

    2008-01-01

    A rotating dual-wire beam proile monitor based upon a modified National Electrostatics Corporation Model BPM80 beam profile monitor is described. The device can measure beam profiles in two perpendicular directions (horizontal and vertical) in each of two pseudoplanes that are situated along the beam axis and are separated by a distance of 6.0 cm. The output signal from the device is analyzed in real time to yield horizontal and vertical beam profiles and to calculate the divergence of a particle beam that traverses the device. This set-up is well-suited for merged-beams experiments where one beam is tuned to saved profiles from a second beam in order to minimize the merge angle and beam divergences while maximizing the beam-beam overlaps.

  2. Rotating dual-wire beam profile monitor optimized for use in merged-beams experiments

    Energy Technology Data Exchange (ETDEWEB)

    Seely, D.G. [Department of Physics, Albion College, Albion, MI 49224-1831 (United States)], E-mail: dseely@albion.edu; Bruhns, H.; Savin, D.W. [Columbia Astrophysics Laboratory, Columbia University, New York, NY 10027-6606 (United States); Kvale, T.J. [Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606-3390 (United States); Galutschek, E.; Aliabadi, H.; Havener, C.C. [Physics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6372 (United States)

    2008-01-21

    A rotating dual-wire beam profile monitor based upon a National Electrostatics Corporation Model BPM80 beam profile monitor is described. The device can measure beam profiles in two perpendicular directions (horizontal and vertical) in each of two pseudoplanes that are situated along the beam axis and are separated by a distance of 5.4 cm. The output signal from the device is analyzed in real time to yield horizontal and vertical beam profiles and to calculate the divergence of a particle beam that traverses the device. This set-up is well-suited for merged-beams experiments where one beam is tuned to saved profiles from a second beam in order to minimize the merge angle and beam divergences while maximizing the beam-beam overlaps.

  3. Exercise Strategies to Optimize Glycemic Control in Type 2 Diabetes: A Continuing Glucose Monitoring Perspective

    OpenAIRE

    van Dijk, Jan-Willem; van Loon, Luc J. C.

    2015-01-01

    IN BRIEF The introduction of continuous glucose monitoring (CGM) several years ago enabled researchers to investigate the impact of exercise strategies on 24-hour glycemic control. Such unique information on the glucoregulatory properties of exercise will ultimately lead to more effective exercise programs to prevent and treat type 2 diabetes. This article reviews the role of exercise and physical activity in the treatment of type 2 diabetes, complemented by recent data obtained by CGM.

  4. Optimized Monitoring of Production of Cellulose Nanowhiskers from Opuntia ficus-indica (Nopal Cactus

    Directory of Open Access Journals (Sweden)

    Horacio Vieyra

    2015-01-01

    Full Text Available Preparation of cellulose nanowhiskers (CNWs has grown significantly because they are useful for a wide range of applications. Additional advantage in their design requires that they meet the following characteristics: nontoxicity, abundance, sustainability, renewability, and low cost. To address these requirements, nanowhiskers were prepared from Opuntia ficus-indica (nopal cellulose by acid hydrolysis. Monitoring the process of CNWs preparation is necessary to ensure maximum yield and purity of the end product. In this study, the cellulose preparation was monitored by analyzing microscopic morphology by SEM; the purity degree was determined by fluorescence microscopy as a novel and rapid technique, and FTIR spectroscopy was used for confirmation. The additional parameters that monitored the process were the crystallinity index by X-ray diffraction and the size of the particle by dynamic light scattering (DLS. Nopal cellulose was found to be comparable to commercial microcrystalline cellulose. The use of Opuntia ficus-indica is a viable alternative for the production of highly pure CNWs and the strategy to supervise the preparation process was rapid.

  5. Optimization of a Liquid Crystal-based Sensory Platform for Monitoring Enzymatic Glucose Oxidation

    Energy Technology Data Exchange (ETDEWEB)

    Wei, Yibin; Jang, Chang-Hyun [Gachon University, Seongnam (Korea, Republic of)

    2016-05-15

    Managing glucose levels in human blood is extremely important for the treatment of diabetes. Here, an innovative sensory strategy has been developed to monitor the enzymatic activities of glucose and glucose oxidase by using confined liquid crystal (LC) birefringent droplet patterns. Acidic products released during the glucose oxidation process lead to a slight decrease in the pH of aqueous systems that can be monitored by pH-sensitive LC materials. Of the existing pH-sensitive LC materials, dodecanoic acid-doped 4-cyano-4'-pentylbiphenyl is inexpensive and easily adjusted to satisfy the 7.4 ± 0.05 pH requirement of human blood. Moreover, the orientational alignment of capillary-confined pH-responsive LCs can be disrupted at the aqueous/LC interface following a slight decrease in the critical pH of aqueous reaction systems, which results in an optical signal that can be observed with the naked eye by using polarizing optical microscopy. Based on the stable LC droplet patterns generated by the cylindrical confinement system, the functionalized LCs can selectively detect glucose at concentrations as low as 0.1 pM. This study further advances the previously reported LC-based glucose monitoring systems by reducing production costs and instituting a smarter LC sensory design. This improved system shows potential for the use in clinical bioassay applications.

  6. Demonstration and Validation of GTS Long-Term Monitoring Optimization Software at Military and Government Sites

    Science.gov (United States)

    2011-02-01

    Defense DoE Department of Energy DPT Direct push technology EPA Environmental Protection Agency ERPIMS Enviromental Restoration Program...geostatistical experts evaluate the same data using the same software. 1.3 REGULATORY DRIVERS There are no regulatory issues directly associated with this...overview of the GTS software and the project, and to receive input from the site on specific issues /characteristics that might impact the optimization

  7. An Ethnographic Observational Study to Evaluate and Optimize the Use of Respiratory Acoustic Monitoring in Children Receiving Postoperative Opioid Infusions.

    Science.gov (United States)

    Görges, Matthias; West, Nicholas C; Christopher, Nancy A; Koch, Jennifer L; Brodie, Sonia M; Lowlaavar, Nasim; Lauder, Gillian R; Ansermino, J Mark

    2016-04-01

    Respiratory depression in children receiving postoperative opioid infusions is a significant risk because of the interindividual variability in analgesic requirement. Detection of respiratory depression (or apnea) in these children may be improved with the introduction of automated acoustic respiratory rate (RR) monitoring. However, early detection of adverse events must be balanced with the risk of alarm fatigue. Our objective was to evaluate the use of acoustic RR monitoring in children receiving opioid infusions on a postsurgical ward and identify the causes of false alarm and optimal alarm thresholds. A video ethnographic study was performed using an observational, mixed methods approach. After surgery, an acoustic RR sensor was placed on the participant's neck and attached to a Rad87 monitor. The monitor was networked with paging for alarms. Vital signs data and paging notification logs were obtained from the central monitoring system. Webcam videos of the participant, infusion pump, and Rad87 monitor were recorded, stored on a secure server, and subsequently analyzed by 2 research nurses to identify the cause of the alarm, response, and effectiveness. Alarms occurring within a 90-second window were grouped into a single-alarm response opportunity. Data from 49 patients (30 females) with median age 14 (range, 4.4-18.8) years were analyzed. The 896 bedside vital sign threshold alarms resulted in 160 alarm response opportunities (44 low RR, 74 high RR, and 42 low SpO2). In 141 periods (88% of total), for which video was available, 65% of alarms were deemed effective (followed by an alarm-related action within 10 minutes). Nurses were the sole responders in 55% of effective alarms and the patient or parent in 20%. Episodes of desaturation (SpO2 10 bpm in 6 of 9 patients. Based on all RR samples observed, the default alarm thresholds, to serve as a starting point for each patient, would be a low RR of 6 (>10 years of age) and 10 (4-9 years of age). In this study

  8. Optimal Parameter Exploration for Online Change-Point Detection in Activity Monitoring Using Genetic Algorithms

    Directory of Open Access Journals (Sweden)

    Naveed Khan

    2016-10-01

    Full Text Available In recent years, smart phones with inbuilt sensors have become popular devices to facilitate activity recognition. The sensors capture a large amount of data, containing meaningful events, in a short period of time. The change points in this data are used to specify transitions to distinct events and can be used in various scenarios such as identifying change in a patient’s vital signs in the medical domain or requesting activity labels for generating real-world labeled activity datasets. Our work focuses on change-point detection to identify a transition from one activity to another. Within this paper, we extend our previous work on multivariate exponentially weighted moving average (MEWMA algorithm by using a genetic algorithm (GA to identify the optimal set of parameters for online change-point detection. The proposed technique finds the maximum accuracy and F_measure by optimizing the different parameters of the MEWMA, which subsequently identifies the exact location of the change point from an existing activity to a new one. Optimal parameter selection facilitates an algorithm to detect accurate change points and minimize false alarms. Results have been evaluated based on two real datasets of accelerometer data collected from a set of different activities from two users, with a high degree of accuracy from 99.4% to 99.8% and F_measure of up to 66.7%.

  9. Temporal stability of soil moisture spatial variability at two scales and its implication for optimal field monitoring

    Directory of Open Access Journals (Sweden)

    X. Zhou

    2007-05-01

    Full Text Available Soil moisture spatial distribution is a key component in characterizing and modeling water movement at multiple scales. The temporal stability of soil moisture spatial distribution at multiple depths was investigated at the 7.9-ha Shale Hills Catchment in central Pennsylvania with a year-round monitoring of 77 sites distributed across the catchment. For this catchment with heterogeneous soils and landforms, integration of soils information into the temporal stability assessment provided a more accurate location of representative monitoring sites for capturing mean soil moisture. The temporal stability pattern of soil moisture at the swale scale was similar to that at the catchment scale, suggesting that the swale could be used as a representative unit in the catchment study in terms of mean soil moisture dynamics. The temporal stability of soil moisture variability in this catchment varied over space and seasons. Temporally stable sites were found in the northwestern and southeastern parts of the catchment, while the areas near the stream and some swale areas had lower temporal stability. The spatial distribution of soil moisture was more stable over time during wet seasons, but less stable during transitional periods (i.e. drying or recharging periods. The temporal stability concept helps the optimal design of field monitoring sites and sampling strategies. On the other hand, the temporally unstable sites provide insights regarding the hydrological processes behind the spatial variability of soil moisture.

  10. Optimized Protocol for Quantitative Multiple Reaction Monitoring-Based Proteomic Analysis of Formalin-Fixed, Paraffin-Embedded Tissues.

    Science.gov (United States)

    Kennedy, Jacob J; Whiteaker, Jeffrey R; Schoenherr, Regine M; Yan, Ping; Allison, Kimberly; Shipley, Melissa; Lerch, Melissa; Hoofnagle, Andrew N; Baird, Geoffrey Stuart; Paulovich, Amanda G

    2016-08-01

    Despite a clinical, economic, and regulatory imperative to develop companion diagnostics, precious few new biomarkers have been successfully translated into clinical use, due in part to inadequate protein assay technologies to support large-scale testing of hundreds of candidate biomarkers in formalin-fixed paraffin-embedded (FFPE) tissues. Although the feasibility of using targeted, multiple reaction monitoring mass spectrometry (MRM-MS) for quantitative analyses of FFPE tissues has been demonstrated, protocols have not been systematically optimized for robust quantification across a large number of analytes, nor has the performance of peptide immuno-MRM been evaluated. To address this gap, we used a test battery approach coupled to MRM-MS with the addition of stable isotope-labeled standard peptides (targeting 512 analytes) to quantitatively evaluate the performance of three extraction protocols in combination with three trypsin digestion protocols (i.e., nine processes). A process based on RapiGest buffer extraction and urea-based digestion was identified to enable similar quantitation results from FFPE and frozen tissues. Using the optimized protocols for MRM-based analysis of FFPE tissues, median precision was 11.4% (across 249 analytes). There was excellent correlation between measurements made on matched FFPE and frozen tissues, both for direct MRM analysis (R(2) = 0.94) and immuno-MRM (R(2) = 0.89). The optimized process enables highly reproducible, multiplex, standardizable, quantitative MRM in archival tissue specimens.

  11. Sugammadex to reverse neuromuscular blockade and provide optimal conditions for motor-evoked potential monitoring

    Directory of Open Access Journals (Sweden)

    Mehdi Trifa

    2017-01-01

    Full Text Available Sugammadex is a novel pharmacologic agent, which reverses neuromuscular blockade (NMB via a mechanism that differs completely from acetylcholinesterase inhibitors. By encapsulating rocuronium, sugammadex can provide recovery of neuromuscular function even when there is a profound degree of NMB. We report anecdotal experience with the use of sugammadex to reverse NMB to facilitate intraoperative neurophysiological monitoring (motor evoked potentials in an adolescent with scoliosis during posterior spinal fusion. Its potential application in this unique clinical scenario is discussed, and potential dosing schemes are reviewed.

  12. Using Maximum Entropy Modeling for Optimal Selection of Sampling Sites for Monitoring Networks

    Directory of Open Access Journals (Sweden)

    Paul H. Evangelista

    2011-05-01

    Full Text Available Environmental monitoring programs must efficiently describe state shifts. We propose using maximum entropy modeling to select dissimilar sampling sites to capture environmental variability at low cost, and demonstrate a specific application: sample site selection for the Central Plains domain (453,490 km2 of the National Ecological Observatory Network (NEON. We relied on four environmental factors: mean annual temperature and precipitation, elevation, and vegetation type. A “sample site” was defined as a 20 km × 20 km area (equal to NEON’s airborne observation platform [AOP] footprint, within which each 1 km2 cell was evaluated for each environmental factor. After each model run, the most environmentally dissimilar site was selected from all potential sample sites. The iterative selection of eight sites captured approximately 80% of the environmental envelope of the domain, an improvement over stratified random sampling and simple random designs for sample site selection. This approach can be widely used for cost-efficient selection of survey and monitoring sites.

  13. Using maximum entropy modeling for optimal selection of sampling sites for monitoring networks

    Science.gov (United States)

    Stohlgren, Thomas J.; Kumar, Sunil; Barnett, David T.; Evangelista, Paul H.

    2011-01-01

    Environmental monitoring programs must efficiently describe state shifts. We propose using maximum entropy modeling to select dissimilar sampling sites to capture environmental variability at low cost, and demonstrate a specific application: sample site selection for the Central Plains domain (453,490 km2) of the National Ecological Observatory Network (NEON). We relied on four environmental factors: mean annual temperature and precipitation, elevation, and vegetation type. A “sample site” was defined as a 20 km × 20 km area (equal to NEON’s airborne observation platform [AOP] footprint), within which each 1 km2 cell was evaluated for each environmental factor. After each model run, the most environmentally dissimilar site was selected from all potential sample sites. The iterative selection of eight sites captured approximately 80% of the environmental envelope of the domain, an improvement over stratified random sampling and simple random designs for sample site selection. This approach can be widely used for cost-efficient selection of survey and monitoring sites.

  14. Optimizing the De-Noise Neural Network Model for GPS Time-Series Monitoring of Structures

    Directory of Open Access Journals (Sweden)

    Mosbeh R. Kaloop

    2015-09-01

    Full Text Available The Global Positioning System (GPS is recently used widely in structures and other applications. Notwithstanding, the GPS accuracy still suffers from the errors afflicting the measurements, particularly the short-period displacement of structural components. Previously, the multi filter method is utilized to remove the displacement errors. This paper aims at using a novel application for the neural network prediction models to improve the GPS monitoring time series data. Four prediction models for the learning algorithms are applied and used with neural network solutions: back-propagation, Cascade-forward back-propagation, adaptive filter and extended Kalman filter, to estimate which model can be recommended. The noise simulation and bridge’s short-period GPS of the monitoring displacement component of one Hz sampling frequency are used to validate the four models and the previous method. The results show that the Adaptive neural networks filter is suggested for de-noising the observations, specifically for the GPS displacement components of structures. Also, this model is expected to have significant influence on the design of structures in the low frequency responses and measurements’ contents.

  15. Wastewater Biosolid Composting Optimization Based on UV-VNIR Spectroscopy Monitoring.

    Science.gov (United States)

    Temporal-Lara, Beatriz; Melendez-Pastor, Ignacio; Gómez, Ignacio; Navarro-Pedreño, Jose

    2016-11-15

    Conventional wastewater treatment generates large amounts of organic matter-rich sludge that requires adequate treatment to avoid public health and environmental problems. The mixture of wastewater sludge and some bulking agents produces a biosolid to be composted at adequate composting facilities. The composting process is chemically and microbiologically complex and requires an adequate aeration of the biosolid (e.g., with a turner machine) for proper maturation of the compost. Adequate (near) real-time monitoring of the compost maturity process is highly difficult and the operation of composting facilities is not as automatized as other industrial processes. Spectroscopic analysis of compost samples has been successfully employed for compost maturity assessment but the preparation of the solid compost samples is difficult and time-consuming. This manuscript presents a methodology based on a combination of a less time-consuming compost sample preparation and ultraviolet, visible and short-wave near-infrared spectroscopy. Spectroscopic measurements were performed with liquid compost extract instead of solid compost samples. Partial least square (PLS) models were developed to quantify chemical fractions commonly employed for compost maturity assessment. Effective regression models were obtained for total organic matter (residual predictive deviation-RPD = 2.68), humification ratio (RPD = 2.23), total exchangeable carbon (RPD = 2.07) and total organic carbon (RPD = 1.66) with a modular and cost-effective visible and near infrared (VNIR) spectroradiometer. This combination of a less time-consuming compost sample preparation with a versatile sensor system provides an easy-to-implement, efficient and cost-effective protocol for compost maturity assessment and near-real-time monitoring.

  16. Spectroscopic synthetic optimizations monitoring of silver nanoparticles formation from Megaphrynium macrostachyum leaf extract

    Directory of Open Access Journals (Sweden)

    François Eya'ane Meva

    Full Text Available ABSTRACT Nanobiotechnology is one of the most promising areas in modern nanoscience and technology. Metallic nanoparticles have found uses in many applications in different fields, such as catalysis, photonics, electronics, medicine and agriculture. Synthesized nanoparticles through chemical and physical methods are expensive and have low biocompatibility. In the present study, silver nanoparticles have been synthesized from Megaphrynium macrostachyum (Benth. & Hook. f. Milne-Redh., Marantaceae, leaf extract. Megaphrynium macrostachyum is a plant with large leaves found in the rainforest of West and Central Africa. Synthetic optimizations following factors such as incubation time, temperature, pH, extract and silver ion concentration during silver formation are discussed. UV–visible spectra gave surface plasmon resonance for synthesized silver nanoparticles based Megaphrynium macrostachyum peaks at 400–450 nm. X-ray diffraction revealed the average size of pure crystallites composed from Ag and AgCl.

  17. Earth Observation as a Support to Marine Aquaculture (Sites Optimization and Monitoring)- The DUE-SMART Project

    Science.gov (United States)

    Mangin, Antoine; Bryere, Philippe; Pastres, Roberto; Loisel, Hubert; Vincent, Chloe; Palazzo, Dalila; Brigolin, Daniele; Hembise, Odile; Arino, Olivier

    2016-08-01

    The SMART project (Sustainable Management of Aquaculture through Remote sensing Technology, www.smart-eo.eu), supported by ESA DUE-Innovator program, aims to use the most advanced of Earth Observation (EO) to develop coastal aquaculture services. We present here the results concerning the monitoring of natural marine conditions for operational aquaculture, the optimization of locations for farming and the mapping of potential in terms of carrying capacity for shellfish. In this context EO derived information like Sea Surface Temperature (SST), Chlorophyll-a (Chl-a) and Suspended Matters (SPM), has been validated and used as input for a growth model of mussels. Moreover, a fish cage detection methodology based on Sentinel-1 and 2 images has been developed to map out cages number and location in the western Mediterranean Sea.

  18. A geostatistical methodology for the optimal design of space-time hydraulic head monitoring networks and its application to the Valle de Querétaro aquifer.

    Science.gov (United States)

    Júnez-Ferreira, H E; Herrera, G S

    2013-04-01

    This paper presents a new methodology for the optimal design of space-time hydraulic head monitoring networks and its application to the Valle de Querétaro aquifer in Mexico. The selection of the space-time monitoring points is done using a static Kalman filter combined with a sequential optimization method. The Kalman filter requires as input a space-time covariance matrix, which is derived from a geostatistical analysis. A sequential optimization method that selects the space-time point that minimizes a function of the variance, in each step, is used. We demonstrate the methodology applying it to the redesign of the hydraulic head monitoring network of the Valle de Querétaro aquifer with the objective of selecting from a set of monitoring positions and times, those that minimize the spatiotemporal redundancy. The database for the geostatistical space-time analysis corresponds to information of 273 wells located within the aquifer for the period 1970-2007. A total of 1,435 hydraulic head data were used to construct the experimental space-time variogram. The results show that from the existing monitoring program that consists of 418 space-time monitoring points, only 178 are not redundant. The implied reduction of monitoring costs was possible because the proposed method is successful in propagating information in space and time.

  19. Optimized Field Sampling and Monitoring of Airborne Hazardous Transport Plumes; A Geostatistical Simulation Approach

    Energy Technology Data Exchange (ETDEWEB)

    Chen, DI-WEN

    2001-11-21

    Airborne hazardous plumes inadvertently released during nuclear/chemical/biological incidents are mostly of unknown composition and concentration until measurements are taken of post-accident ground concentrations from plume-ground deposition of constituents. Unfortunately, measurements often are days post-incident and rely on hazardous manned air-vehicle measurements. Before this happens, computational plume migration models are the only source of information on the plume characteristics, constituents, concentrations, directions of travel, ground deposition, etc. A mobile ''lighter than air'' (LTA) system is being developed at Oak Ridge National Laboratory that will be part of the first response in emergency conditions. These interactive and remote unmanned air vehicles will carry light-weight detectors and weather instrumentation to measure the conditions during and after plume release. This requires a cooperative computationally organized, GPS-controlled set of LTA's that self-coordinate around the objectives in an emergency situation in restricted time frames. A critical step before an optimum and cost-effective field sampling and monitoring program proceeds is the collection of data that provides statistically significant information, collected in a reliable and expeditious manner. Efficient aerial arrangements of the detectors taking the data (for active airborne release conditions) are necessary for plume identification, computational 3-dimensional reconstruction, and source distribution functions. This report describes the application of stochastic or geostatistical simulations to delineate the plume for guiding subsequent sampling and monitoring designs. A case study is presented of building digital plume images, based on existing ''hard'' experimental data and ''soft'' preliminary transport modeling results of Prairie Grass Trials Site. Markov Bayes Simulation, a coupled Bayesian

  20. Optimization and application of satellite observations for air quality monitoring in Central Europe

    Science.gov (United States)

    Zhou, Y.; Brunner, D.; Boersma, F.

    2009-12-01

    Nitrogen oxides are key precursors of both ozone and secondary aerosols, and they are harmful to humans and ecosystems. The Ozone Monitoring Instrument (OMI) is a recent UV/visible spectrometer on NASA’s Aura satellite with a comparatively small pixel size and daily global coverage which makes it particularly suitable for air quality monitoring. Information on vertical tropospheric columns (VTCs) of tropospheric trace gases is derived from the spectroscopic data by means of a retrieval algorithm. The retrieval depends on a number of so-called a priori assumptions which introduce important uncertainties in the derived quantity. Current operational retrievals are based on global a priori data sets at coarse spatial and temporal resolution, which are much coarser than the resolution of individual OMI pixels. In order to obtain a more accurate retrieval of vertical tropospheric columns of nitrogen dioxide (NO2) than currently available, we are developing new data sets of critical retrieval parameters at high temporal and spatial resolution for Europe, such as high resolution surface pressure maps, surface reflectance, and a-priori vertical NO2 profiles from a regional model. As a first step, we analyzed the sensitivity of retrieved NO2 to the surface pressure, and the results demonstrate the importance of an accurate (i.e. high resolution) treatment of this parameter, in particular in the vicinity of complex topography such as the Alps. As a second step, a new illumination and viewing geometry dependent surface reflectance data set has been developed based on high temporal and spatial resolution multiangular reflectance observations from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS). Comparisons of this new surface reflectance data set with the coarse albedo data set of the operational OMI product will be shown and a sensitivity analysis of the impact on the retrieved NO2 will be presented. As a third step, a-priori vertical NO2 profiles used in

  1. Design optimization under uncertainty and speed variability for a piezoelectric energy harvester powering a tire pressure monitoring sensor

    Science.gov (United States)

    Toghi Eshghi, Amin; Lee, Soobum; Kazem Sadoughi, Mohammad; Hu, Chao; Kim, Young-Cheol; Seo, Jong-Ho

    2017-10-01

    Energy harvesting (EH) technologies to power small sized electronic devices are attracting great attention. Wasted energy in a vehicle’s rotating tire has a great potential to enable self-powered tire pressure monitoring sensors (TPMS). Piezoelectric type energy harvesters can be used to collect vibrational energy and power such systems. Due to the presence of harsh acceleration in a rotating tire, a design tradeoff needs to be studied to prolong the harvester’s fatigue life as well as to ensure sufficient power generation. However, the design by traditional deterministic design optimization (DDO) does not show reliable performance due to the lack of consideration of various uncertainty factors (e.g., manufacturing tolerances, material properties, and loading conditions). In this study, we address a new EH design formulation that considers the uncertainty in car speed, dimensional tolerances and material properties, and solve this design problem using reliability-based design optimization (RBDO). The RBDO problem is formulated to maximize compactness and minimize weight of a TPMS harvester while satisfying power and durability requirements. A transient analysis has been done to measure the time varying response of EH such as power generation, dynamic strain, and stress. A conservative design formulation is proposed to consider the expected power from varied speed and stress at higher speed. When compared to the DDO, the RBDO results show that the reliability of EH is increased significantly by scarifying the objective function. Finally, experimental test has been conducted to demonstrate the merits of RBDO design over DDO.

  2. Recommendations for Optimizing Tuberculosis Treatment: Therapeutic Drug Monitoring, Pharmacogenetics, and Nutritional Status Considerations.

    Science.gov (United States)

    Choi, Rihwa; Jeong, Byeong Ho; Koh, Won Jung; Lee, Soo Youn

    2017-03-01

    Although tuberculosis is largely a curable disease, it remains a major cause of morbidity and mortality worldwide. Although the standard 6-month treatment regimen is highly effective for drug-susceptible tuberculosis, the use of multiple drugs over long periods of time can cause frequent adverse drug reactions. In addition, some patients with drug-susceptible tuberculosis do not respond adequately to treatment and develop treatment failure and drug resistance. Response to tuberculosis treatment could be affected by multiple factors associated with the host-pathogen interaction including genetic factors and the nutritional status of the host. These factors should be considered for effective tuberculosis control. Therefore, therapeutic drug monitoring (TDM), which is individualized drug dosing guided by serum drug concentrations during treatment, and pharmacogenetics-based personalized dosing guidelines of anti-tuberculosis drugs could reduce the incidence of adverse drug reactions and increase the likelihood of successful treatment outcomes. Moreover, assessment and management of comorbid conditions including nutritional status could improve anti-tuberculosis treatment response.

  3. Design and optimization of photonic crystal fiber based sensor for gas condensate and air pollution monitoring

    Science.gov (United States)

    Islam, Md. Ibadul; Ahmed, Kawsar; Sen, Shuvo; Chowdhury, Sawrab; Paul, Bikash Kumar; Islam, Md. Shadidul; Miah, Mohammad Badrul Alam; Asaduzzaman, Sayed

    2017-09-01

    In this paper, a hexagonal shape photonic crystal fiber (H-PCF) has been proposed as a gas sensor of which both micro-structured core and cladding are organized by circular air cavities. The reported H-PCF has a single layer circular core which is surrounded by a five-layer hexagonal cladding. The overall pretending process of the H-PCF is completed by using a full vectorial finite element method (FEM) with perfectly matched layer (PML) boundary condition. All geometrical parameters like diameters and pitches of both core and cladding regions have fluctuated with an optimized structure. After completing the numerical analysis, it is clearly visualized that the proposed H-PCF exhibits high sensitivity with low confinement loss. The investigated results reveal the relative sensitivity of 56.65% and confinement loss of 2.31×10-5 dB/m at the 1.33-μm wavelength. Moreover, effective area, nonlinearity, and V-parameter of the suggested PCF are also briefly described.

  4. Optimizing outpatient phlebotomy staffing: tools to assess staffing needs and monitor effectiveness.

    Science.gov (United States)

    Mijailovic, Aleksandar S; Tanasijevic, Milenko J; Goonan, Ellen M; Le, Rachel D; Baum, Jonathan M; Melanson, Stacy E F

    2014-07-01

    Short patient wait times are critical for patient satisfaction with outpatient phlebotomy services. Although increasing phlebotomy staffing is a direct way to improve wait times, it may not be feasible or appropriate in many settings, particularly in the context of current economic pressures in health care. To effect sustainable reductions in patient wait times, we created a simple, data-driven tool to systematically optimize staffing across our 14 phlebotomy sites with varying patient populations, scope of service, capacity, and process workflows. We used staffing levels and patient venipuncture volumes to derive the estimated capacity, a parameter that helps predict the number of patients a location can accommodate per unit of time. We then used this parameter to determine whether a particular phlebotomy site was overstaffed, adequately staffed, or understaffed. Patient wait-time and satisfaction data were collected to assess the efficacy and accuracy of the staffing tool after implementing the staffing changes. In this article, we present the applications of our approach in 1 overstaffed and 2 understaffed phlebotomy sites. After staffing changes at previously understaffed sites, the percentage of patients waiting less than 10 minutes ranged from 88% to 100%. At our previously overstaffed site, we maintained our goal of 90% of patients waiting less than 10 minutes despite staffing reductions. All staffing changes were made using existing resources. Used in conjunction with patient wait-time and satisfaction data, our outpatient phlebotomy staffing tool is an accurate and flexible way to assess capacity and to improve patient wait times.

  5. Optimal Performance Monitoring of Hybrid Mid-Infrared Wavelength MIMO Free Space Optical and RF Wireless Networks in Fading Channels

    Science.gov (United States)

    Schmidt, Barnet Michael

    An optimal performance monitoring metric for a hybrid free space optical and radio-frequency (RF) wireless network, the Outage Capacity Objective Function, is analytically developed and studied. Current and traditional methods of performance monitoring of both optical and RF wireless networks are centered on measurement of physical layer parameters, the most common being signal-to-noise ratio, error rate, Q factor, and eye diagrams, occasionally combined with link-layer measurements such as data throughput, retransmission rate, and/or lost packet rate. Network management systems frequently attempt to predict or forestall network failures by observing degradations of these parameters and to attempt mitigation (such as offloading traffic, increasing transmitter power, reducing the data rate, or combinations thereof) prior to the failure. These methods are limited by the frequent low sensitivity of the physical layer parameters to the atmospheric optical conditions (measured by optical signal-to-noise ratio) and the radio frequency fading channel conditions (measured by signal-to-interference ratio). As a result of low sensitivity, measurements of this type frequently are unable to predict impending failures sufficiently in advance for the network management system to take corrective action prior to the failure. We derive and apply an optimal measure of hybrid network performance based on the outage capacity of the hybrid optical and RF channel, the outage capacity objective function. The objective function provides high sensitivity and reliable failure prediction, and considers both the effects of atmospheric optical impairments on the performance of the free space optical segment as well as the effect of RF channel impairments on the radio frequency segment. The radio frequency segment analysis considers the three most common RF channel fading statistics: Rayleigh, Ricean, and Nakagami-m. The novel application of information theory to the underlying physics of the

  6. Integrated High Resolution Microearthquake Analysis and Monitoring for Optimizing Steam Production at The Geysers Geothermal Field, California

    Energy Technology Data Exchange (ETDEWEB)

    Majer, Ernest; Peterson, John; Stark, Mitch; Smith, Bill; Rutqvist, Jonny; Kennedy, Mack

    2004-04-26

    In December of 2003 a large amount of water from the Santa Rosa wastewater project began being pumped to The Geysers for injection. Millions of dollars are being spent on this injection project in the anticipation that the additional fluid will not only extend the life of The Geysers but also greatly increase the net amount of energy extracted. Optimal use of the injected water, however, will require that the water be injected at the right place, in the right amount and at the proper rate. It has been shown that Microearthquake (MEQ) generation is a direct indicator of the effect of fluid injection at The Geysers (Majer and McEvilly 1979; Eberhart-Phillips and Oppenheimer 1984; Enedy et al. 1992; Stark 1992; Kirkpatrick et al. 1999; Smith et al. 2000). It is one of the few, if not only methods, practical to monitor the volumetric effect of water injection at The Geysers. At the beginning of this project there was not a detailed MEQ response, Geysers-wide, to a large influx of water such as will be the case from the Santa Rosa injection project. New technology in MEQ acquisition and analysis, while used in parts of The Geysers for short periods of time had not been applied reservoir-wide to obtain an integrated analysis of the reservoir. Also needed was a detailed correlation with the production and injection data on a site wide basis. Last but not least, needed was an assurance to the community that the induced seismicity is documented and understood such that if necessary, mitigation actions can be undertaken in a timely manner. This project was necessary not only for optimizing the heat recovery from the resource, but for assuring the community that there is no hazard associated with the increased injection activities. Therefore, the primary purpose of this project was to develop and apply high-resolution micro earthquake methodology for the entire Geysers geothermal field such that at the end of this project a monitoring and process definition methodology will

  7. Reaction monitoring using hyperpolarized NMR with scaling of heteronuclear couplings by optimal tracking

    Science.gov (United States)

    Zhang, Guannan; Schilling, Franz; Glaser, Steffen J.; Hilty, Christian

    2016-11-01

    Off-resonance decoupling using the method of Scaling of Heteronuclear Couplings by Optimal Tracking (SHOT) enables determination of heteronuclear correlations of chemical shifts in single scan NMR spectra. Through modulation of J-coupling evolution by shaped radio frequency pulses, off resonance decoupling using SHOT pulses causes a user-defined dependence of the observed J-splitting, such as the splitting of 13C peaks, on the chemical shift offset of coupled nuclei, such as 1H. Because a decoupling experiment requires only a single scan, this method is suitable for characterizing on-going chemical reactions using hyperpolarization by dissolution dynamic nuclear polarization (D-DNP). We demonstrate the calculation of [13C, 1H] chemical shift correlations of the carbanionic active sites from hyperpolarized styrene polymerized using sodium naphthalene as an initiator. While off resonance decoupling by SHOT pulses does not enhance the resolution in the same way as a 2D NMR spectrum would, the ability to obtain the correlations in single scans makes this method ideal for determination of chemical shifts in on-going reactions on the second time scale. In addition, we present a novel SHOT pulse that allows to scale J-splittings 50% larger than the respective J-coupling constant. This feature can be used to enhance the resolution of the indirectly detected chemical shift and reduce peak overlap, as demonstrated in a model reaction between p-anisaldehyde and isobutylamine. For both pulses, the accuracy is evaluated under changing signal-to-noise ratios (SNR) of the peaks from reactants and reaction products, with an overall standard deviation of chemical shift differences compared to reference spectra of 0.02 ppm when measured on a 400 MHz NMR spectrometer. Notably, the appearance of decoupling side-bands, which scale with peak intensity, appears to be of secondary importance.

  8. Reversal of rocuronium-induced neuromuscular blockade by sugammadex allows for optimization of neural monitoring of the recurrent laryngeal nerve.

    Science.gov (United States)

    Lu, I-Cheng; Wu, Che-Wei; Chang, Pi-Ying; Chen, Hsiu-Ya; Tseng, Kuang-Yi; Randolph, Gregory W; Cheng, Kuang-I; Chiang, Feng-Yu

    2016-04-01

    The use of neuromuscular blocking agent may effect intraoperative neuromonitoring (IONM) during thyroid surgery. An enhanced neuromuscular-blockade (NMB) recovery protocol was investigated in a porcine model and subsequently clinically applied during human thyroid neural monitoring surgery. Prospective animal and retrospective clinical study. In the animal experiment, 12 piglets were injected with rocuronium 0.6 mg/kg and randomly allocated to receive normal saline, sugammadex 2 mg/kg, or sugammadex 4 mg/kg to compare the recovery of laryngeal electromyography (EMG). In a subsequent clinical application study, 50 patients who underwent thyroidectomy with IONM followed an enhanced NMB recovery protocol-rocuronium 0.6 mg/kg at anesthesia induction and sugammadex 2 mg/kg at the operation start. The train-of-four (TOF) ratio was used for continuous quantitative monitoring of neuromuscular transmission. In our porcine model, it took 49 ± 15, 13.2 ± 5.6, and 4.2 ± 1.5 minutes for the 80% recovery of laryngeal EMG after injection of saline, sugammadex 2 mg/kg, and sugammadex 4 mg/kg, respectively. In subsequent clinical human application, the TOF ratio recovered from 0 to >0.9 within 5 minutes after administration of sugammadex 2 mg/kg at the operation start. All patients had positive and high EMG amplitude at the early stage of the operation, and intubation was without difficulty in 96% of patients. Both porcine modeling and clinical human application demonstrated that sugammadex 2 mg/kg allows effective and rapid restoration of neuromuscular function suppressed by rocuronium. Implementation of this enhanced NMB recovery protocol assures optimal conditions for tracheal intubation as well as IONM in thyroid surgery. NA. © 2016 The American Laryngological, Rhinological and Otological Society, Inc.

  9. Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

    Institute of Scientific and Technical Information of China (English)

    Shuming LIU; Wenjun LIU; Jinduan CHEN; Qi WANG

    2012-01-01

    A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydrau- lics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applica- tions. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods.

  10. Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method

    Science.gov (United States)

    Fisher, Jason C.

    2013-01-01

    Long-term groundwater monitoring networks can provide essential information for the planning and management of water resources. Budget constraints in water resource management agencies often mean a reduction in the number of observation wells included in a monitoring network. A network design tool, distributed as an R package, was developed to determine which wells to exclude from a monitoring network because they add little or no beneficial information. A kriging-based genetic algorithm method was used to optimize the monitoring network. The algorithm was used to find the set of wells whose removal leads to the smallest increase in the weighted sum of the (1) mean standard error at all nodes in the kriging grid where the water table is estimated, (2) root-mean-squared-error between the measured and estimated water-level elevation at the removed sites, (3) mean standard deviation of measurements across time at the removed sites, and (4) mean measurement error of wells in the reduced network. The solution to the optimization problem (the best wells to retain in the monitoring network) depends on the total number of wells removed; this number is a management decision. The network design tool was applied to optimize two observation well networks monitoring the water table of the eastern Snake River Plain aquifer, Idaho; these networks include the 2008 Federal-State Cooperative water-level monitoring network (Co-op network) with 166 observation wells, and the 2008 U.S. Geological Survey-Idaho National Laboratory water-level monitoring network (USGS-INL network) with 171 wells. Each water-level monitoring network was optimized five times: by removing (1) 10, (2) 20, (3) 40, (4) 60, and (5) 80 observation wells from the original network. An examination of the trade-offs associated with changes in the number of wells to remove indicates that 20 wells can be removed from the Co-op network with a relatively small degradation of the estimated water table map, and 40 wells

  11. Optimization of Water-Level Monitoring Networks in the Eastern Snake River Plain Aquifer Using a Kriging-Based Genetic Algorithm Method

    Science.gov (United States)

    Fisher, J. C.

    2013-12-01

    Long-term groundwater monitoring networks can provide essential information for the planning and management of water resources. Budget constraints in water resource management agencies often mean a reduction in the number of observation wells included in a monitoring network. A network design tool, distributed as an R package, was developed to determine which wells to exclude from a monitoring network because they add little or no beneficial information. A kriging-based genetic algorithm method was used to optimize the monitoring network. The algorithm was used to find the set of wells whose removal leads to the smallest increase in the weighted sum of the (1) mean standard error at all nodes in the kriging grid where the water table is estimated, (2) root-mean-squared-error between the measured and estimated water-level elevation at the removed sites, (3) mean standard deviation of measurements across time at the removed sites, and (4) mean measurement error of wells in the reduced network. The solution to the optimization problem (the best wells to retain in the monitoring network) depends on the total number of wells removed; this number is a management decision. The network design tool was applied to optimize two observation well networks monitoring the water table of the eastern Snake River Plain aquifer, Idaho; these networks include the 2008 Federal-State Cooperative water-level monitoring network (Co-op network) with 166 observation wells, and the 2008 U.S. Geological Survey-Idaho National Laboratory water-level monitoring network (USGS-INL network) with 171 wells. Each water-level monitoring network was optimized five times: by removing (1) 10, (2) 20, (3) 40, (4) 60, and (5) 80 observation wells from the original network. An examination of the trade-offs associated with changes in the number of wells to remove indicates that 20 wells can be removed from the Co-op network with a relatively small degradation of the estimated water table map, and 40 wells

  12. Monitoring Natural World Heritage Sites: optimization of the monitoring system in Bogda with GIS-based multi-criteria decision analysis.

    Science.gov (United States)

    Wang, Zhaoguo; Du, Xishihui

    2016-07-01

    Natural World Heritage Sites (NWHSs) are invaluable treasure due to the uniqueness of each site. Proper monitoring and management can guarantee their protection from multiple threats. In this study, geographic information system (GIS)-based multi-criteria decision analysis (GIS-MCDA) was used to assess criteria layers acquired from the data available in the literature. A conceptual model for determining the priority area for monitoring in Bogda, China, was created based on outstanding universal values (OUV) and expert knowledge. Weights were assigned to each layer using the analytic hierarchy process (AHP) based on group decisions, encompassing three experts: one being a heritage site expert, another a forest ranger, and the other a heritage site manager. Subsequently, evaluation layers and constraint layers were used to generate a priority map and to determine the feasibility of monitoring in Bogda. Finally, a monitoring suitability map of Bogda was obtained by referencing priority and feasibility maps.The high-priority monitoring area is located in the montane forest belt, which exhibits high biodiversity and is the main tourist area of Bogda. The northern buffer zone of Bogda comprises the concentrated feasible monitoring areas, and the area closest to roads and monitoring facilities is highly feasible for NWHS monitoring. The suitability of an area in terms of monitoring is largely determined by the monitoring priority in that particular area. The majority of planned monitoring facilities are well distributed in both suitable and less suitable areas. Analysis results indicate that the protection of Bogda will be more scientifically based due to its effective and all-around planned monitoring system proposed by the declaration text of Xinjiang Tianshan, which is the essential file submitted to World Heritage Centre to inscribe as a NWHS.

  13. Stack emission monitoring using non-dispersive infrared spectroscopy with an optimized nonlinear absorption cross interference correction algorithm

    Directory of Open Access Journals (Sweden)

    Y. W. Sun

    2013-08-01

    Full Text Available In this paper, we present an optimized analysis algorithm for non-dispersive infrared (NDIR to in situ monitor stack emissions. The proposed algorithm simultaneously compensates for nonlinear absorption and cross interference among different gases. We present a mathematical derivation for the measurement error caused by variations in interference coefficients when nonlinear absorption occurs. The proposed algorithm is derived from a classical one and uses interference functions to quantify cross interference. The interference functions vary proportionally with the nonlinear absorption. Thus, interference coefficients among different gases can be modeled by the interference functions whether gases are characterized by linear or nonlinear absorption. In this study, the simultaneous analysis of two components (CO2 and CO serves as an example for the validation of the proposed algorithm. The interference functions in this case can be obtained by least-squares fitting with third-order polynomials. Experiments show that the results of cross interference correction are improved significantly by utilizing the fitted interference functions when nonlinear absorptions occur. The dynamic measurement ranges of CO2 and CO are improved by about a factor of 1.8 and 3.5, respectively. A commercial analyzer with high accuracy was used to validate the CO and CO2 measurements derived from the NDIR analyzer prototype in which the new algorithm was embedded. The comparison of the two analyzers show that the prototype works well both within the linear and nonlinear ranges.

  14. A Study on the Optimal Positions of ECG Electrodes in a Garment for the Design of ECG-Monitoring Clothing for Male.

    Science.gov (United States)

    Cho, Hakyung; Lee, Joo Hyeon

    2015-09-01

    Smart clothing is a sort of wearable device used for ubiquitous health monitoring. It provides comfort and efficiency in vital sign measurements and has been studied and developed in various types of monitoring platforms such as T-shirt and sports bra. However, despite these previous approaches, smart clothing for electrocardiography (ECG) monitoring has encountered a serious shortcoming relevant to motion artifacts caused by wearer movement. In effect, motion artifacts are one of the major problems in practical implementation of most wearable health-monitoring devices. In the ECG measurements collected by a garment, motion artifacts are usually caused by improper location of the electrode, leading to lack of contact between the electrode and skin with body motion. The aim of this study was to suggest a design for ECG-monitoring clothing contributing to reduction of motion artifacts. Based on the clothing science theory, it was assumed in this study that the stability of the electrode in a dynamic state differed depending on the electrode location in an ECG-monitoring garment. Founded on this assumption, effects of 56 electrode positions were determined by sectioning the surface of the garment into grids with 6 cm intervals in the front and back of the bodice. In order to determine the optimal locations of the ECG electrodes from the 56 positions, ECG measurements were collected from 10 participants at every electrode position in the garment while the wearer was in motion. The electrode locations indicating both an ECG measurement rate higher than 80.0 % and a large amplitude during motion were selected as the optimal electrode locations. The results of this analysis show four electrode locations with consistently higher ECG measurement rates and larger amplitudes amongst the 56 locations. These four locations were abstracted to be least affected by wearer movement in this research. Based on this result, a design of the garment-formed ECG monitoring platform

  15. Optimal Design of Air Quality Monitoring Network and its Application in an Oil Refinery Plant: An Approach to Keep Health Status of Workers.

    Science.gov (United States)

    ZoroufchiBenis, Khaled; Fatehifar, Esmaeil; Ahmadi, Javad; Rouhi, Alireza

    2015-01-01

    Industrial air pollution is a growing challenge to humane health, especially in developing countries, where there is no systematic monitoring of air pollution. Given the importance of the availability of valid information on population exposure to air pollutants, it is important to design an optimal Air Quality Monitoring Network (AQMN) for assessing population exposure to air pollution and predicting the magnitude of the health risks to the population. A multi-pollutant method (implemented as a MATLAB program) was explored for configur-ing an AQMN to detect the highest level of pollution around an oil refinery plant. The method ranks potential monitoring sites (grids) according to their ability to represent the ambient concentration. The term of cluster of contiguous grids that exceed a threshold value was used to calculate the Station Dosage. Selection of the best configuration of AQMN was done based on the ratio of a sta-tion's dosage to the total dosage in the network. Six monitoring stations were needed to detect the pollutants concentrations around the study area for estimating the level and distribution of exposure in the population with total network efficiency of about 99%. An analysis of the design procedure showed that wind regimes have greatest effect on the location of monitoring stations. The optimal AQMN enables authorities to implement an effective program of air quality management for protecting human health.

  16. Optimal Design of Air Quality Monitoring Network and its Application in an Oil Refinery Plant: An Approach to Keep Health Satus of Workers

    Directory of Open Access Journals (Sweden)

    Khaled ZoroufchiBenis

    2015-12-01

    Full Text Available Background: Industrial air pollution is a growing challenge to humane health, especially in developing countries, where there is no systematic monitoring of air pollution. Given the importance of the availabil­ity of valid information on population exposure to air pollutants, it is important to design an optimal Air Quality Monitoring Network (AQMN for assessing population exposure to air pollution and predicting the magnitude of the health risks to the population. Methods: A multi-pollutant method (implemented as a MATLAB program was explored for configur­ing an AQMN to detect the highest level of pollution around an oil refinery plant. The method ranks potential monitoring sites (grids according to their ability to represent the ambient concentra­tion. The term of cluster of contiguous grids that exceed a threshold value was used to calculate the Station Dosage. Selection of the best configuration of AQMN was done based on the ratio of a sta­tion’s dosage to the total dosage in the network. Results: Six monitoring stations were needed to detect the pollutants concentrations around the study area for estimating the level and distribution of exposure in the population with total network effi­ciency of about 99%. An analysis of the design procedure showed that wind regimes have greatest effect on the location of monitoring stations. Conclusion: The optimal AQMN enables authorities to implement an effective program of air quality management for protecting human health.

  17. Optimizing Mouse Surgery with Online Rectal Temperature Monitoring and Preoperative Heat Supply. Effects on Post-Ischemic Acute Kidney Injury.

    Science.gov (United States)

    Marschner, Julian A; Schäfer, Hannah; Holderied, Alexander; Anders, Hans-Joachim

    2016-01-01

    Body temperature affects outcomes of tissue injury. We hypothesized that online body core temperature recording and selective interventions help to standardize peri-interventional temperature control and the reliability of outcomes in experimental renal ischemia reperfusion injury (IRI). We recorded core temperature in up to seven mice in parallel using a Thermes USB recorder and ret-3-iso rectal probes with three different protocols. Setup A: Heating pad during ischemia time; Setup B: Heating pad from incision to wound closure; Setup C: A ventilated heating chamber before surgery and during ischemia time with surgeries performed on a heating pad. Temperature profile recording displayed significant declines upon installing anesthesia. The profile of the baseline experimental setup A revealed that temperature readings were within the target range of 36.5 to 38.5°C. Setup B and C increased the target range readings to 34.6 ± 28.0% and 99.3 ± 1.5%, respectively. Setup C significantly increased S3 tubular necrosis, neutrophil influx, and mRNA expression of kidney injury markers. In addition, using setup C different ischemia times generated a linear correlation with acute tubular necrosis parameters at a low variability, which further correlated with the degree of kidney atrophy 5 weeks after surgery. Changing temperature control setup A to C was equivalent to 10 minutes more ischemia time. We conclude that body temperature drops quickly in mice upon initiating anesthesia. Immediate heat supply, e.g. in a ventilated heating chamber, and online core temperature monitoring can help to standardize and optimize experimental outcomes.

  18. Optimal body size with respect to maximal speed for the yellow-spotted monitor lizard (Varanus panoptes; Varanidae).

    Science.gov (United States)

    Clemente, Christofer J; Withers, Philip C; Thompson, Graham

    2012-01-01

    Studies of locomotor performance often link variation in morphology with ecology. While maximum sprint speed is a commonly used performance variable, the absolute limits for this performance trait are not completely understood. Absolute maximal speed has often been shown to increase linearly with body size, but several comparative studies covering a large range of body sizes suggest that maximal speed does not increase indefinitely with body mass but rather reaches an optimum after which speed declines. Because of the comparative nature of these studies, it is difficult to determine whether this decrease is due to biomechanical constraints on maximal speed or is a consequence of phylogenetic inertia or perhaps relaxed selection for lower maximal speed at large body size. To explore this issue, we have examined intraspecific variations in morphology, maximal sprint speed, and kinematics for the yellow-spotted monitor lizard Varanus panoptes, which varied in body mass from 0.09 to 5.75 kg. We show a curvilinear relationship between body size and absolute maximal sprint speed with an optimal body mass with respect to speed of 1.245 kg. This excludes the phylogenetic inertia hypothesis, because this effect should be absent intraspecifically, while supporting the biomechanical constraints hypothesis. The relaxed selection hypothesis cannot be excluded if there is a size-based behavioral shift intraspecifically, but the biomechanical constraints hypothesis is better supported from kinematic analyses. Kinematic measurements of hind limb movement suggest that the distance moved by the body during the stance phase may limit maximum speed. This limit is thought to be imposed by a decreased ability of the bones and muscles to support body mass for larger lizards.

  19. Application of Time-Lapse Seismic Monitoring for the Control and Optimization of CO2 Enhanced Oil Recovery Operations

    Energy Technology Data Exchange (ETDEWEB)

    Brian Toelle

    2008-11-30

    This project, 'Application of Time-Lapse Seismic Monitoring for the Control and Optimization of CO{sub 2} Enhanced Oil Recovery Operations', investigated the potential for monitoring CO{sub 2} floods in carbonate reservoirs through the use of standard p-wave seismic data. This primarily involved the use of 4D seismic (time lapse seismic) in an attempt to observe and map the movement of the injected CO{sub 2} through a carbonate reservoir. The differences between certain seismic attributes, such as amplitude, were used for this purpose. This technique has recently been shown to be effective in CO{sub 2} monitoring in Enhanced Oil Recovery (EOR) projects, such as Weyborne. This study was conducted in the Charlton 30/31 field in the northern Michigan Basin, which is a Silurian pinnacle reef that completed its primary production in 1997 and was scheduled for enhanced oil recovery using injected CO{sub 2}. Prior to injection an initial 'Base' 3D survey was obtained over the field and was then processed and interpreted. CO{sub 2} injection within the main portion of the reef was conducted intermittently during 13 months starting in August 2005. During this time, 29,000 tons of CO{sub 2} was injected into the Guelph formation, historically known as the Niagaran Brown formation. By September 2006, the reservoir pressure within the reef had risen to approximately 2000 lbs and oil and water production from the one producing well within the field had increased significantly. The determination of the reservoir's porosity distribution, a critical aspect of reservoir characterization and simulation, proved to be a significant portion of this project. In order to relate the differences observed between the seismic attributes seen on the multiple 3D seismic surveys and the actual location of the CO{sub 2}, a predictive reservoir simulation model was developed based on seismic attributes obtained from the base 3D seismic survey and available well data. This

  20. Plasmid transfection in bovine cells: Optimization using a realtime monitoring of green fluorescent protein and effect on gene reporter assay.

    Science.gov (United States)

    Osorio, Johan S; Bionaz, Massimo

    2017-08-30

    Gene reporter technology (GRT) has opened several new avenues for monitoring biological events including the activation of transcription factors, which are central to the study of nutrigenomics. However, this technology relies heavily on the insertion of foreign plasmid DNA into the nuclei of cells (i.e., transfection), which can be very challenging and highly variable among cell types. The objective of this study was to investigate the optimal conditions to generate reliable GRT assay data on bovine immortalized cell lines, Madin Darby Bovine Kidney (MDBK) and bovine mammary epithelial alveolar (MACT) cells. Results are reported for two experiments. In Experiment 1, using 96 well-plate and a robotic inverted fluorescent microscope, we compared transfection efficiency among commercially available transfection reagents (TR) Lipofectamine® 3000 (Lipo3), Lipofectamine® LTX (LipoLTX), and TransIT-X2® (TransX2), three doses of TR (i.e., 0.15, 0.3, and 0.4μL/well), and three doses of Green Fluorescent Protein plasmid DNA (i.e., 10, 25, and 50ng/well). Transfection efficiency and mortality rate were analyzed using CellProfiler software. Transfection efficiency increased until the end of the experiment (20h post-transfection) at which point MACT had greater transfection than MDBK cells (16.3% vs. 2.2%). It is unclear the reason for the low transfection in MDBK cells. Maximal transfection efficiency was obtained with 0.3μL/well of LipoLTX plus 25ng/well of plasmid DNA (ca. 29.5±1.9%) and 0.15μL/well of LipoLTX plus 25ng/well of plasmid DNA (ca. 4.0±0.4%) for MACT and MDBK cells, respectively. The higher amount of TR and DNA was generally associated with higher cell mortality. Using high, medium, and low transfection efficiency conditions determined in Experiment 1, we performed a GRT assay for peroxisome proliferator-activated response element (PPRE) luciferase in MACT and MDBK cells treated with 10nM or 100nM of synthetic Peroxisome Proliferator-activated Receptor

  1. ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring mass spectrometry

    Directory of Open Access Journals (Sweden)

    Ramos Hector

    2011-03-01

    Full Text Available Abstract Background Since its inception, proteomics has essentially operated in a discovery mode with the goal of identifying and quantifying the maximal number of proteins in a sample. Increasingly, proteomic measurements are also supporting hypothesis-driven studies, in which a predetermined set of proteins is consistently detected and quantified in multiple samples. Selected reaction monitoring (SRM is a targeted mass spectrometric technique that supports the detection and quantification of specific proteins in complex samples at high sensitivity and reproducibility. Here, we describe ATAQS, an integrated software platform that supports all stages of targeted, SRM-based proteomics experiments including target selection, transition optimization and post acquisition data analysis. This software will significantly facilitate the use of targeted proteomic techniques and contribute to the generation of highly sensitive, reproducible and complete datasets that are particularly critical for the discovery and validation of targets in hypothesis-driven studies in systems biology. Result We introduce a new open source software pipeline, ATAQS (Automated and Targeted Analysis with Quantitative SRM, which consists of a number of modules that collectively support the SRM assay development workflow for targeted proteomic experiments (project management and generation of protein, peptide and transitions and the validation of peptide detection by SRM. ATAQS provides a flexible pipeline for end-users by allowing the workflow to start or end at any point of the pipeline, and for computational biologists, by enabling the easy extension of java algorithm classes for their own algorithm plug-in or connection via an external web site. This integrated system supports all steps in a SRM-based experiment and provides a user-friendly GUI that can be run by any operating system that allows the installation of the Mozilla Firefox web browser. Conclusions Targeted

  2. Nuclear Energy Plant Optimization (NEPO) final report on aging and condition monitoring of low-voltage cable materials.

    Energy Technology Data Exchange (ETDEWEB)

    Assink, Roger Alan; Gillen, Kenneth Todd; Bernstein, Robert

    2005-11-01

    This report summarizes results generated on a 5-year cable-aging program that constituted part of the Nuclear Energy Plant Optimization (NEPO) program, an effort cosponsored by the U. S. Department of Energy (DOE) and the Electric Power Research Institute (EPRI). The NEPO cable-aging effort concentrated on two important issues involving the development of better lifetime prediction methods as well as the development and testing of novel cable condition-monitoring (CM) techniques. To address improved life prediction methods, we first describe the use of time-temperature superposition principles, indicating how this approach improves the testing of the Arrhenius model by utilizing all of the experimentally generated data instead of a few selected and processed data points. Although reasonable superposition is often found, we show several cases where non-superposition is evident, a situation that violates the constant acceleration assumption normally used in accelerated aging studies. Long-term aging results over extended temperature ranges allow us to show that curvature in Arrhenius plots for elongation is a common occurrence. In all cases the curvature results in a lowering of the Arrhenius activation energy at lower temperatures implying that typical extrapolation of high temperature results over-estimates material lifetimes. The long-term results also allow us to test the significance of extrapolating through the crystalline melting point of semi-crystalline materials. By utilizing ultrasensitive oxygen consumption (UOC) measurements, we show that it is possible to probe the low temperature extrapolation region normally inaccessible to conventional accelerated aging studies. This allows the quantitative testing of the often-used Arrhenius extrapolation assumption. Such testing indicates that many materials again show evidence of ''downward'' curvature (E{sub a} values drop as the aging temperature is lowered) consistent with the limited

  3. Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine Harvesters

    Directory of Open Access Journals (Sweden)

    Zhenwei Liang

    2015-01-01

    Full Text Available Grain separation losses is a key parameter to weigh the performance of combine harvesters, and also a dominant factor for automatically adjusting their major working parameters. The traditional separation losses monitoring method mainly rely on manual efforts, which require a high labor intensity. With recent advancements in sensor technology, electronics and computational processing power, this paper presents an indirect method for monitoring grain separation losses in tangential-axial combine harvesters in real-time. Firstly, we developed a mathematical monitoring model based on detailed comparative data analysis of different feeding quantities. Then, we developed a grain impact piezoelectric sensor utilizing a YT-5 piezoelectric ceramic as the sensing element, and a signal process circuit designed according to differences in voltage amplitude and rise time of collision signals. To improve the sensor performance, theoretical analysis was performed from a structural vibration point of view, and the optimal sensor structural has been selected. Grain collide experiments have shown that the sensor performance was greatly improved. Finally, we installed the sensor on a tangential-longitudinal axial combine harvester, and grain separation losses monitoring experiments were carried out in North China, which results have shown that the monitoring method was feasible, and the biggest measurement relative error was 4.63% when harvesting rice.

  4. Structure optimization of a grain impact piezoelectric sensor and its application for monitoring separation losses on tangential-axial combine harvesters.

    Science.gov (United States)

    Liang, Zhenwei; Li, Yaoming; Zhao, Zhan; Xu, Lizhang

    2015-01-14

    Grain separation losses is a key parameter to weigh the performance of combine harvesters, and also a dominant factor for automatically adjusting their major working parameters. The traditional separation losses monitoring method mainly rely on manual efforts, which require a high labor intensity. With recent advancements in sensor technology, electronics and computational processing power, this paper presents an indirect method for monitoring grain separation losses in tangential-axial combine harvesters in real-time. Firstly, we developed a mathematical monitoring model based on detailed comparative data analysis of different feeding quantities. Then, we developed a grain impact piezoelectric sensor utilizing a YT-5 piezoelectric ceramic as the sensing element, and a signal process circuit designed according to differences in voltage amplitude and rise time of collision signals. To improve the sensor performance, theoretical analysis was performed from a structural vibration point of view, and the optimal sensor structural has been selected. Grain collide experiments have shown that the sensor performance was greatly improved. Finally, we installed the sensor on a tangential-longitudinal axial combine harvester, and grain separation losses monitoring experiments were carried out in North China, which results have shown that the monitoring method was feasible, and the biggest measurement relative error was 4.63% when harvesting rice.

  5. A sensor network based virtual beam-like structure method for fault diagnosis and monitoring of complex structures with Improved Bacterial Optimization

    Science.gov (United States)

    Wang, H.; Jing, X. J.

    2017-02-01

    This paper proposes a novel method for the fault diagnosis of complex structures based on an optimized virtual beam-like structure approach. A complex structure can be regarded as a combination of numerous virtual beam-like structures considering the vibration transmission path from vibration sources to each sensor. The structural 'virtual beam' consists of a sensor chain automatically obtained by an Improved Bacterial Optimization Algorithm (IBOA). The biologically inspired optimization method (i.e. IBOA) is proposed for solving the discrete optimization problem associated with the selection of the optimal virtual beam for fault diagnosis. This novel virtual beam-like-structure approach needs less or little prior knowledge. Neither does it require stationary response data, nor is it confined to a specific structure design. It is easy to implement within a sensor network attached to the monitored structure. The proposed fault diagnosis method has been tested on the detection of loosening screws located at varying positions in a real satellite-like model. Compared with empirical methods, the proposed virtual beam-like structure method has proved to be very effective and more reliable for fault localization.

  6. Multivariate statistical process control (MSPC) using Raman spectroscopy for in-line culture cell monitoring considering time-varying batches synchronized with correlation optimized warping (COW).

    Science.gov (United States)

    Liu, Ya-Juan; André, Silvère; Saint Cristau, Lydia; Lagresle, Sylvain; Hannas, Zahia; Calvosa, Éric; Devos, Olivier; Duponchel, Ludovic

    2017-02-01

    Multivariate statistical process control (MSPC) is increasingly popular as the challenge provided by large multivariate datasets from analytical instruments such as Raman spectroscopy for the monitoring of complex cell cultures in the biopharmaceutical industry. However, Raman spectroscopy for in-line monitoring often produces unsynchronized data sets, resulting in time-varying batches. Moreover, unsynchronized data sets are common for cell culture monitoring because spectroscopic measurements are generally recorded in an alternate way, with more than one optical probe parallelly connecting to the same spectrometer. Synchronized batches are prerequisite for the application of multivariate analysis such as multi-way principal component analysis (MPCA) for the MSPC monitoring. Correlation optimized warping (COW) is a popular method for data alignment with satisfactory performance; however, it has never been applied to synchronize acquisition time of spectroscopic datasets in MSPC application before. In this paper we propose, for the first time, to use the method of COW to synchronize batches with varying durations analyzed with Raman spectroscopy. In a second step, we developed MPCA models at different time intervals based on the normal operation condition (NOC) batches synchronized by COW. New batches are finally projected considering the corresponding MPCA model. We monitored the evolution of the batches using two multivariate control charts based on Hotelling's T(2) and Q. As illustrated with results, the MSPC model was able to identify abnormal operation condition including contaminated batches which is of prime importance in cell culture monitoring We proved that Raman-based MSPC monitoring can be used to diagnose batches deviating from the normal condition, with higher efficacy than traditional diagnosis, which would save time and money in the biopharmaceutical industry. Copyright © 2016 Elsevier B.V. All rights reserved.

  7. Blood Pressure Deviations From Optimal Mean Arterial Pressure During Cardiac Surgery Measured With a Novel Monitor of Cerebral Blood Flow and Risk for Perioperative Delirium: A Pilot Study.

    Science.gov (United States)

    Hori, Daijiro; Max, Laura; Laflam, Andrew; Brown, Charles; Neufeld, Karin J; Adachi, Hideo; Sciortino, Christopher; Conte, John V; Cameron, Duke E; Hogue, Charles W; Mandal, Kaushik

    2016-06-01

    The aim of this study was to evaluate whether excursions of blood pressure from the optimal mean arterial pressure during and after cardiac surgery are associated with postoperative delirium identified using a structured examination. Prospective, observational study. University hospital. The study included 110 patients undergoing cardiac surgery. Patients were monitored using ultrasound-tagged near-infrared spectroscopy to assess optimal mean arterial pressure by cerebral blood flow autoregulation monitoring during cardiopulmonary bypass and the first 3 hours in the intensive care unit. The patients were tested preoperatively and on postoperative days 1 to 3 with the Confusion Assessment Method or Confusion Assessment Method for the Intensive Care Unit, the Delirium Rating Scale-Revised-98, and the Mini Mental State Examination. Summative presence of delirium on postoperative days 1 through 3, as defined by the consensus panel following Diagnostic and Statistical Manual of Mental Disorders-IV-TR criteria, was the primary outcome. Delirium occurred in 47 (42.7%) patients. There were no differences in blood pressure excursions above and below optimal mean arterial pressure between patients with and without summative presence of delirium. Secondary analysis showed blood pressure excursions above the optimal mean arterial pressure to be higher in patients with delirium (mean±SD, 33.2±26.51 mmHgxh v 23.4±16.13 mmHgxh; p = 0.031) and positively correlated with the Delirium Rating Scale score on postoperative day 2 (r = 0.27, p = 0.011). Summative presence of delirium was not associated with perioperative blood pressure excursions; but on secondary exploratory analysis, excursions above the optimal mean arterial pressure were associated with the incidence and severity of delirium on postoperative day 2. Copyright © 2016 Elsevier Inc. All rights reserved.

  8. Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms.

    Science.gov (United States)

    Martinek, Radek; Kahankova, Radana; Nazeran, Homer; Konecny, Jaromir; Jezewski, Janusz; Janku, Petr; Bilik, Petr; Zidek, Jan; Nedoma, Jan; Fajkus, Marcel

    2017-05-19

    This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters (such as step size μ and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode positions on the maternal body surface in improving the performance of these adaptive filters. The main criterion for optimal parameter selection was the Signal-to-Noise Ratio (SNR). We conducted experiments using signals supplied by the latest version of our LabVIEW-Based Multi-Channel Non-Invasive Abdominal Maternal-Fetal Electrocardiogram Signal Generator, which provides the flexibility and capability of modeling the principal distribution of maternal/fetal ECGs in the human body. Our novel algorithm enabled us to find the optimal settings of the adaptive filters based on maternal surface ECG electrode placements. The experimental results further confirmed the theoretical assumption that the optimal settings of these adaptive filters are dependent on the ECG electrode positions on the maternal body, and therefore, we were able to achieve far better results than without the use of optimization. These improvements in turn could lead to a more accurate detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to establish recommendations for standard electrode placement and find the optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing. Ultimately, diagnostic-grade fetal ECG signals would ensure the reliable detection of fetal hypoxia.

  9. Medication monitoring and optimization : a targeted pharmacist program for effective and cost-effective improvement of chronic therapy adherence

    NARCIS (Netherlands)

    van Boven, Job F.M.; Stuurman-Bieze, Ada G.G.; Hiddink, Eric G.; Postma, Maarten J.; Vegter, Stefan

    2014-01-01

    BACKGROUND: Community pharmacies provide a promising platform for monitoring and improving therapy adherence and providing pharmaceutical care. Structured methods and appropriate software are important tools to increase pharmacist effectiveness and improve health outcomes. In 2006, the Medication Mo

  10. Quantitative Damage Detection and Sparse Sensor Array Optimization of Carbon Fiber Reinforced Resin Composite Laminates for Wind Turbine Blade Structural Health Monitoring

    Science.gov (United States)

    Li, Xiang; Yang, Zhibo; Chen, Xuefeng

    2014-01-01

    The active structural health monitoring (SHM) approach for the complex composite laminate structures of wind turbine blades (WTBs), addresses the important and complicated problem of signal noise. After illustrating the wind energy industry's development perspectives and its crucial requirement for SHM, an improved redundant second generation wavelet transform (IRSGWT) pre-processing algorithm based on neighboring coefficients is introduced for feeble signal denoising. The method can avoid the drawbacks of conventional wavelet methods that lose information in transforms and the shortcomings of redundant second generation wavelet (RSGWT) denoising that can lead to error propagation. For large scale WTB composites, how to minimize the number of sensors while ensuring accuracy is also a key issue. A sparse sensor array optimization of composites for WTB applications is proposed that can reduce the number of transducers that must be used. Compared to a full sixteen transducer array, the optimized eight transducer configuration displays better accuracy in identifying the correct position of simulated damage (mass of load) on composite laminates with anisotropic characteristics than a non-optimized array. It can help to guarantee more flexible and qualified monitoring of the areas that more frequently suffer damage. The proposed methods are verified experimentally on specimens of carbon fiber reinforced resin composite laminates. PMID:24763210

  11. Quantitative Damage Detection and Sparse Sensor Array Optimization of Carbon Fiber Reinforced Resin Composite Laminates for Wind Turbine Blade Structural Health Monitoring

    Directory of Open Access Journals (Sweden)

    Xiang Li

    2014-04-01

    Full Text Available The active structural health monitoring (SHM approach for the complex composite laminate structures of wind turbine blades (WTBs, addresses the important and complicated problem of signal noise. After illustrating the wind energy industry’s development perspectives and its crucial requirement for SHM, an improved redundant second generation wavelet transform (IRSGWT pre-processing algorithm based on neighboring coefficients is introduced for feeble signal denoising. The method can avoid the drawbacks of conventional wavelet methods that lose information in transforms and the shortcomings of redundant second generation wavelet (RSGWT denoising that can lead to error propagation. For large scale WTB composites, how to minimize the number of sensors while ensuring accuracy is also a key issue. A sparse sensor array optimization of composites for WTB applications is proposed that can reduce the number of transducers that must be used. Compared to a full sixteen transducer array, the optimized eight transducer configuration displays better accuracy in identifying the correct position of simulated damage (mass of load on composite laminates with anisotropic characteristics than a non-optimized array. It can help to guarantee more flexible and qualified monitoring of the areas that more frequently suffer damage. The proposed methods are verified experimentally on specimens of carbon fiber reinforced resin composite laminates.

  12. Optimal design of an internal monitoring program for personnel in the Chornobyl exclusion zone radwaste management industrial complex.

    Science.gov (United States)

    Bondarenko, O O; Medvedev, S Yu; Novikov, O E; Andreyev, V V

    2007-01-01

    Modern state and approach regarding organisation of individual internal dose monitoring of the personnel of industrial complex for radioactive waste management at the Chornobyl exclusion zone (CEZ) is presented. Sensitivity and adequacy of the acknowledged instrumental methods is considered taking into account the features of interpretation using indirect methods in the specific working conditions of industrial complex for radioactive waste management at the CEZ. The performed analysis enables clear recommendations to be made with regard to optimum design of an internal monitoring program for personnel, including application of specific techniques.

  13. A Mnemonic for Pharmacists to Ensure Optimal Monitoring and Safety of Total Parenteral Nutrition: I AM FULL.

    Science.gov (United States)

    Bohl, Chris J; Parks, Ann

    2017-07-01

    To present a guideline-derived mnemonic that provides a systematic monitoring process to increase pharmacists' confidence in total parenteral nutrition (TPN) monitoring and improve safety and efficacy of TPN use. The American Society for Parenteral and Enteral Nutrition (ASPEN) guidelines were reviewed. Additional resources included a literature search of PubMed (1980 to May 2016) using the search terms: total parenteral nutrition, mnemonic, indications, allergy, macronutrients, micronutrients, fluid, comorbidities, labs, peripheral line, and central line. Articles (English-language only) were evaluated for content, and additional references were identified from a review of literature citations. All English-language observational studies, review articles, meta-analyses, guidelines, and randomized trials assessing monitoring parameters of TPN were evaluated. The ASPEN guidelines were referenced to develop key components of the mnemonic. Review articles, observational trials, meta-analyses, and randomized trials were reviewed in cases where guidelines did not adequately address these components. A guideline-derived mnemonic was developed to systematically and safely manage TPN therapy. The mnemonic combines 7 essential components of TPN use and monitoring: Indications, Allergies, Macro/Micro nutrients, Fluid, Underlying comorbidities, Labs, and Line type.

  14. Development of a Conductivity Sensor for Monitoring Groundwater Resources to Optimize Water Management in Smart City Environments.

    Science.gov (United States)

    Parra, Lorena; Sendra, Sandra; Lloret, Jaime; Bosch, Ignacio

    2015-08-26

    The main aim of smart cities is to achieve the sustainable use of resources. In order to make the correct use of resources, an accurate monitoring and management is needed. In some places, like underground aquifers, access for monitoring can be difficult, therefore the use of sensors can be a good solution. Groundwater is very important as a water resource. Just in the USA, aquifers represent the water source for 50% of the population. However, aquifers are endangered due to the contamination. One of the most important parameters to monitor in groundwater is the salinity, as high salinity levels indicate groundwater salinization. In this paper, we present a specific sensor for monitoring groundwater salinization. The sensor is able to measure the electric conductivity of water, which is directly related to the water salinization. The sensor, which is composed of two copper coils, measures the magnetic field alterations due to the presence of electric charges in the water. Different salinities of the water generate different alterations. Our sensor has undergone several tests in order to obtain a conductivity sensor with enough accuracy. First, several prototypes are tested and are compared with the purpose of choosing the best combination of coils. After the best prototype was selected, it was calibrated using up to 30 different samples. Our conductivity sensor presents an operational range from 0.585 mS/cm to 73.8 mS/cm, which is wide enough to cover the typical range of water salinities. With this work, we have demonstrated that it is feasible to measure water conductivity using solenoid coils and that this is a low cost application for groundwater monitoring.

  15. Optimization of the Building Energy Performance through Dynamic Modeling, Systems Simulation, Field Monitoring and Evaluation of Renewable Energy Applications

    Directory of Open Access Journals (Sweden)

    Reshmi Banerjee

    2015-02-01

    Full Text Available The annual energy consumption in the residential and commercial sectors, in India is rising consistently at about 8% and the overall energy consumption in buildings has seen an increase from a low of 14% in the 1970s to nearly 33% in 2004/05. The electricity sector in India had an installed capacity of 254.049 GW as of end of September 2014. The research paper will deal with the modeling and optimization of the building energy performance by means of the application of the dynamic building simulation, the optimization of the energy systems and the verification of the energy consumptions and comfort conditions. An integrated tool is at an early stage of development to optimize the building energy performance to be expressed in terms of total energy use. The goal of the research paper is to optimize the building energy performance through the potential of the passive building technologies and the increase of efficiency of the building system.

  16. Stepped MS(All) Relied Transition (SMART): An approach to rapidly determine optimal multiple reaction monitoring mass spectrometry parameters for small molecules.

    Science.gov (United States)

    Ye, Hui; Zhu, Lin; Wang, Lin; Liu, Huiying; Zhang, Jun; Wu, Mengqiu; Wang, Guangji; Hao, Haiping

    2016-02-11

    Multiple reaction monitoring (MRM) is a universal approach for quantitative analysis because of its high specificity and sensitivity. Nevertheless, optimization of MRM parameters remains as a time and labor-intensive task particularly in multiplexed quantitative analysis of small molecules in complex mixtures. In this study, we have developed an approach named Stepped MS(All) Relied Transition (SMART) to predict the optimal MRM parameters of small molecules. SMART requires firstly a rapid and high-throughput analysis of samples using a Stepped MS(All) technique (sMS(All)) on a Q-TOF, which consists of serial MS(All) events acquired from low CE to gradually stepped-up CE values in a cycle. The optimal CE values can then be determined by comparing the extracted ion chromatograms for the ion pairs of interest among serial scans. The SMART-predicted parameters were found to agree well with the parameters optimized on a triple quadrupole from the same vendor using a mixture of standards. The parameters optimized on a triple quadrupole from a different vendor was also employed for comparison, and found to be linearly correlated with the SMART-predicted parameters, suggesting the potential applications of the SMART approach among different instrumental platforms. This approach was further validated by applying to simultaneous quantification of 31 herbal components in the plasma of rats treated with a herbal prescription. Because the sMS(All) acquisition can be accomplished in a single run for multiple components independent of standards, the SMART approach are expected to find its wide application in the multiplexed quantitative analysis of complex mixtures.

  17. Real time monitoring for optimization of electrical transmission lines; Monitoramento em tempo real para otimizacao de linhas de transmissao

    Energy Technology Data Exchange (ETDEWEB)

    Nascimento, Carlos Alexandre M.; Carvalho, Renato Mauricio [Companhia Energetica de Minas Gerais (CEMIG), Belo Horizonte, MG (Brazil); Hortencio, Claudio Antonio; Leite, Rogerio Lara [Centro de Pesquisas e Desenvolvimento em Telecomunicacoes (CPqD), Campinas, SP (Brazil); Vinagre, Marcio de Pinho; Silva, Helio Francisco da [Universidade Federal de Juiz de Fora (UFJF), MG (Brazil)

    2010-02-15

    The advantages given by the monitoring of the transmission lines and the high cost of the imported equipment gave the reasons for development of systems with Brazilian technology. This paper reports the project of two prototypes, one based on optical fiber and the other based on laser emitter. It is also highlighted the elaboration of a computational system - patent object - which interprets the measured data and reduces the operation costs. (author)

  18. In situ monitoring and optimization of room temperature ultra-fast sensitization for dye-sensitized solar cells.

    Science.gov (United States)

    Davies, Matthew L; Watson, Trystan M; Holliman, Peter J; Connell, Arthur; Worsley, David A

    2014-10-25

    We describe the fastest dyeing of TiO2 photo-electrodes for dye-sensitized solar cells reported to date (12 h using the same dye mixture (η = 5.5%). Time-lapse photography has been used to monitor the ultra-fast co-sensitization. The data show significantly different dye uptake between passive and pump dyeing reflecting competitive sorption between a Ru complex (N719) and an organic dye (SQ1).

  19. Dynamic subnanosecond time-of-flight detection for ultra-precise diffusion monitoring and optimization of biomarker preservation

    Science.gov (United States)

    Bauer, Daniel R.; Stevens, Benjamin; Taft, Jefferson; Chafin, David; Petre, Vinnie; Theiss, Abbey P.; Otter, Michael

    2014-03-01

    Recently, it has been demonstrated that the preservation of cancer biomarkers, such as phosphorylated protein epitopes, in formalin-fixed paraffin-embedded tissue is highly dependent on the localized concentration of the crosslinking agent. This study details a real-time diffusion monitoring system based on the acoustic time-of-flight (TOF) between pairs of 4 MHz focused transducers. Diffusion affects TOF because of the distinct acoustic velocities of formalin and interstitial fluid. Tissue is placed between the transducers and vertically translated to obtain TOF values at multiple locations with a spatial resolution of approximately 1 mm. Imaging is repeated for several hours until osmotic equilibrium is reached. A post-processing technique, analogous to digital acoustic interferometry, enables detection of subnanosecond TOF differences. Reference subtraction is used to compensate for environmental effects. Diffusion measurements with TOF monitoring ex vivo human tonsil tissue are well-correlated with a single exponential curve (R2>0.98) with a magnitude of up to 50 ns, depending on the tissue size (2-6 mm). The average exponential decay constant of 2 and 6 mm diameter samples are 20 and 315 minutes, respectively, although times varied significantly throughout the tissue (σmax=174 min). This technique can precisely monitor diffusion progression and could be used to mitigate effects from tissue heterogeneity and intersample variability, enabling improved preservation of cancer biomarkers distinctly sensitive to degradation during preanalytical tissue processing.

  20. [Selection of indicators for continuous monitoring of the impact of programs optimizing antimicrobial use in Primary Care].

    Science.gov (United States)

    Fernández-Urrusuno, Rocío; Flores-Dorado, Macarena; Moreno-Campoy, Eva; Montero-Balosa, M Carmen

    2015-05-01

    To determine core indicators for monitoring quality prescribing in Primary Care based on the evidence, and to assess the feasibility of these indicators for monitoring the use of antibiotics. A literature review was carried out on quality indicators for antimicrobial prescribing through an electronic search limited to the period 2001-2012. It was completed with an "ad hoc" search on the websites of public national and international health services. Finally, indicators were chosen by consensus by a multidisciplinary group of professionals dedicated to managing infections from several areas. The feasibility and applicability of these indicators was verified through the reporting and use of data in the prescription database. Twenty two indicators were found. The consensus group selected 16 indicators. Eleven of them measure the specific antimicrobial selection, and 5 are consumption rates. The indicators were successfully applied to the prescription database, being able to make comparisons between different geographical areas and to observe trends in prescriptions. The definition of a basic set of indicators to monitor antibiotic use adapted to local conditions is required. The results of these indicators can be used for feedback to professionals and for evaluating the impact of programs aimed at improving antimicrobial use. Copyright © 2014 Elsevier España, S.L.U. y Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved.

  1. Application of Multivariate Statistical Methods to Optimize Water Quality Monitoring Network with Emphasis on the Pollution Caused by Fish Farms.

    Science.gov (United States)

    Tavakol, Mitra; Arjmandi, Reza; Shayeghi, Mansoureh; Monavari, Seyed Masoud; Karbassi, Abdolreza

    2017-01-01

    One of the key issues in determining the quality of water in rivers is to create a water quality control network with a suitable performance. The measured qualitative variables at stations should be representative of all the changes in water quality in water systems. Since the increase in water quality monitoring stations increases annual monitoring costs, recognition of the stations with higher importance as well as main parameters can be effective in future decisions to improve the existing monitoring network. Sampling was carried out on 12 physical and chemical parameters measured at 15 stations during 2013-2014 in Haraz River, northern Iran. The results of the measurements were analyzed using multivariate statistical analysis methods including cluster analysis (CA), principal component analysis (PCA), factor analysis (FA), and discriminant analysis (DA). According to the CA, PCA, and FA, the stations were divided into three groups of high pollution, medium pollution, and low pollution. The research findings confirm applicability of multivariate statistical techniques in the interpretation of large data sets, water quality assessment, and source apportionment of different pollution sources.

  2. Inline UV-Vis spectroscopy to monitor and optimize cleaning-in-place (CIP) of whey filtration plants

    DEFF Research Database (Denmark)

    Berg, Thilo Heinz Alexander; Ottosen, Niels; van der Berg, Franciscus Winfried J.

    2017-01-01

    used for every day. We investigated the capability of inline UV-Vis spectroscopy to elucidate the dynamics of CIP of membrane filtration plants as a gateway to control and optimize the process. For this investigation aged membranes that had been used for industrial ultrafiltration of whey were...... transferred to a pilot plant equipped with inline UV-Vis spectroscopy on both the retentate and permeate side. Then the dynamics of multiple fouling and cleaning of these membranes were investigated. The results indicate that the first CIP step, caustic cleaning could be shortened and possibly reduced...... in concentration. The second step of CIP, enzymatic cleaning, seems to be active even longer than the anticipated time. Challenges, first findings and future steps of full scale inline UV-Vis spectroscopy are discussed. We conclude that inline UV-Vis spectroscopy can be used to optimize the processing time, energy...

  3. Carrigoran House, Newmarket-on-Fergus, Clare.

    LENUS (Irish Health Repository)

    1986-01-01

    Please note that this handbook was written in the 1990s and information may have been superceded with more recent publications. Please check the Alzheimer\\'s Society of Ireland website for the most up to date versions of documents. This document is made available here for achival purposes.

  4. Athlunkard House Nursing Home, Athlunkard, Westbury, Clare.

    LENUS (Irish Health Repository)

    Brougham, D F

    2011-01-01

    We report the successful classification, by artificial neural networks (ANNs), of (1)H NMR spectroscopic data recorded on whole-cell culture samples of four different lung carcinoma cell lines, which display different drug resistance patterns. The robustness of the approach was demonstrated by its ability to classify the cell line correctly in 100% of cases, despite the demonstrated presence of operator-induced sources of variation, and irrespective of which spectra are used for training and for validation. The study demonstrates the potential of ANN for lung carcinoma classification in realistic situations.

  5. St. Joseph's Hospital, Lifford Road, Ennis, Clare.

    LENUS (Irish Health Repository)

    O'Connell, Sarah

    2016-01-01

    Studies suggest 2 per 1000 people in Dublin are living with HIV, the level above which universal screening is advised. We aimed to assess the feasibility and acceptability of a universal opt-out HIV, Hepatitis B and Hepatitis C testing programme for Emergency Department patients and to describe the incidence and prevalence of blood-borne viruses in this population.

  6. Cahercalla Community Hospital, Cahercalla Road, Ennis, Clare.

    LENUS (Irish Health Repository)

    Naasan, M

    2012-05-01

    Information on the outcomes of ART treatments in Ireland is not readily available to Irish practitioners. The data for hospital affiliated clinics has been made available for many years and is included in the hospital reports. We present a 10-year analysis of the Irish ART results voluntarily reported by six out of seven IVF clinics. The data was collected from published ESHRE reports and from results (2007-8) not yet published. Data collected included: number of clinics and ART cycles, female age, clinical and multiple pregnancy rates and treatment complications. The clinical pregnancy rate per embryo transfer was 31.7% for IVF and 29.8% for ICSI. The proportion of singleton, twin and triplet deliveries for IVF and ICSI combined was 75%, 23.35% and 1.64%. The rate of ovarian hyperstimulation was 0.8%. ART practice in Ireland is safe, effective and responsible. Financial and societal savings could result from the introduction of state funded IVF with compulsory eSET where recommended.

  7. Kilrush Nursing Home, Kilimer Road, Kilrush, Clare.

    LENUS (Irish Health Repository)

    2014-01-01

    Nutrition Screening Week results from 2010 and 2011 indicated that one in three to four patients admitted to Irish Hospitals are at risk of disease-related malnutrition, 74-75% of whom are at high risk1. Nutrition screening tools are used to screen for malnutrition risk. One such tool, the Malnutrition Universal Screening Tool (MUST)2 is a practical, easy to use tool that often takes ≤5 minutes to complete. MUST has been validated across care settings and across patient populations, and has been recommended for use in Irish Hospitals by the Department of Health and Children as part of standard care3. The National Institute for Health and Clinical Excellence in the UK has demonstrated significant financial savings associated with the use of routine nutrition screening, in part due to reduced length of hospital stay4. The Irish Society for Clinical Nutrition and Metabolism (IrSPEN) has also demonstrated this5

  8. The DEAD-Box Protein Dhh1p Couples mRNA Decay and Translation by Monitoring Codon Optimality.

    Science.gov (United States)

    Radhakrishnan, Aditya; Chen, Ying-Hsin; Martin, Sophie; Alhusaini, Najwa; Green, Rachel; Coller, Jeff

    2016-09-22

    A major determinant of mRNA half-life is the codon-dependent rate of translational elongation. How the processes of translational elongation and mRNA decay communicate is unclear. Here, we establish that the DEAD-box protein Dhh1p is a sensor of codon optimality that targets an mRNA for decay. First, we find mRNAs whose translation elongation rate is slowed by inclusion of non-optimal codons are specifically degraded in a Dhh1p-dependent manner. Biochemical experiments show Dhh1p is preferentially associated with mRNAs with suboptimal codon choice. We find these effects on mRNA decay are sensitive to the number of slow-moving ribosomes on an mRNA. Moreover, we find Dhh1p overexpression leads to the accumulation of ribosomes specifically on mRNAs (and even codons) of low codon optimality. Lastly, Dhh1p physically interacts with ribosomes in vivo. Together, these data argue that Dhh1p is a sensor for ribosome speed, targeting an mRNA for repression and subsequent decay.

  9. 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.

  10. Optimal Thawing of Cryopreserved Peripheral Blood Mononuclear Cells for Use in High-Throughput Human Immune Monitoring Studies

    Directory of Open Access Journals (Sweden)

    Ramu A. Subbramanian

    2012-07-01

    Full Text Available Cryopreserved peripheral blood mononuclear cells (PBMC constitute an important component of immune monitoring studies as they allow for efficient batch- testing of samples as well as for the validation and extension of original studies in the future. In this study, we systematically test the permutations of PBMC thawing practices commonly employed in the field and identify conditions that are high and low risk for the viability of PBMC and their functionality in downstream ELISPOT assays. The study identifies the addition of ice-chilled washing media to thawed cells at the same temperature as being a high risk practice, as it yields significantly lower viability and functionality of recovered PBMC when compared to warming the cryovials to 37 °C and adding a warm washing medium. We found thawed PBMC in cryovials could be kept up to 30 minutes at 37 °C in the presence of DMSO before commencement of washing, which surprisingly identifies exposure to DMSO as a low risk step during the thawing process. This latter finding is of considerable practical relevance since it permits batch-thawing of PBMC in high-throughput immune monitoring environments.

  11. Deadlock Prevention Policy with Behavioral Optimality or Suboptimality Achieved by the Redundancy Identification of Constraints and the Rearrangement of Monitors

    Directory of Open Access Journals (Sweden)

    Liang Hong

    2015-01-01

    Full Text Available This work develops an iterative deadlock prevention method for a special class of Petri nets that can well model a variety of flexible manufacturing systems. A deadlock detection technique, called mixed integer programming (MIP, is used to find a strict minimal siphon (SMS in a plant model without a complete enumeration of siphons. The policy consists of two phases. At the first phase, SMSs are obtained by MIP technique iteratively and monitors are added to the complementary sets of the SMSs. For the possible existence of new siphons generated after the first phase, we add monitors with their output arcs first pointed to source transitions at the second phase to avoid new siphons generating and then rearrange the output arcs step by step on condition that liveness is preserved. In addition, an algorithm is proposed to remove the redundant constraints of the MIP problem in this paper. The policy improves the behavioral permissiveness of the resulting net and greatly enhances the structural simplicity of the supervisor. Theoretical analysis and experimental results verify the effectiveness of the proposed method.

  12. Condition monitoring and thermoeconomic optimization of operation for a hybrid plant using artificial neural networks; Tillstaandsoevervakning och termoekonomisk driftoptimering av en hybridanlaeggning med artificiella neurala naetverk

    Energy Technology Data Exchange (ETDEWEB)

    Fast, Magnus; Assadi, Mohsen

    2007-12-15

    The project aim is to model the hybrid plant at Vaesthamnsverket in Helsingborg using artificial neural networks (ANN) and integrating the ANN models, for online condition monitoring and thermoeconomic optimization, at Vaesthamnsverket. The definition of a hybrid plant is that it uses more than one fuel, in this case a natural gas fuelled gas turbine with heat recovery steam generator (HRSG) and a biomass fuelled steam boiler with steam turbine. The project is a continuation of previous projects where ANN training was done with operational data from the plant. The ANN models have, if required, been updated to better suit the purpose of this project. The thermoeconomic optimization takes into account current electricity prices, taxes, fuel prices etc. and calculates the current production cost along with the 'predicted' production cost. The tool also has a built in feature of predicting when a compressor wash is economically beneficial. The user interface is developed together with co-workers at Vaesthamnsverket to ensure its usefulness. The user interface includes functions for warnings and alarms when possible deviations in operation occur and also includes a feature for plotting parameter trends in optional time intervals, both measured values and predicted. The target group is the plant owners and the original equipment manufacturers (OEM). The power plant owners want to acquire a product for condition monitoring and thermoeconomic optimization of e.g. maintenance. The OEMs main interest lies in investigating the possibilities of delivering ANN models along with their new gas turbines. The project has been carried out at Lund University, Department of Energy Sciences, with support from Vaesthamnsverket and Siemens. Vaesthamnsverket have contributed with operational data from the plant as well as support in plant related questions. They have also been involved in the implementation of the ANN models in their computer system and the development of the

  13. Monitoring Plasmodium falciparum growth and development by UV flow cytometry using an optimized Hoechst-thiazole orange staining strategy.

    Science.gov (United States)

    Grimberg, Brian T; Erickson, John J; Sramkoski, R Michael; Jacobberger, James W; Zimmerman, Peter A

    2008-06-01

    The complex life cycle of Plasmodium falciparum (Pf) makes it difficult to limit infections and reduce the risk of severe malaria. Improved understanding of Pf blood-stage growth and development would provide new opportunities to evaluate and interfere with successful completion of the parasite's life cycle. Cultured blood stage Pf was incubated with Hoechst 33342 (HO) and thiazole orange (TO) to stain DNA and total nucleic acids, respectively. Correlated HO and TO fluorescence emissions were then measured by flow cytometry. Complex bivariate data patterns were analyzed by manual cluster gating to quantify parasite life cycle stages. The permutations of viable staining with both reagents were tested for optimal detection of parasitized RBC (pRBC). Pf cultures were exposed to HO and TO simultaneously to achieve optimal staining of pRBC and consistent quantification of early and late stages of the replicative cycle (rings through schizonts). Staining of Pf nucleic acids allows for analysis of parasite development in the absence of fixatives, lysis, or radioactivity to enable examination of erythrocytes from parasite invasion through schizont rupture using sensitive and rapid assay procedures. Investigation of the mechanisms by which anti-malarial drugs and antibodies act against different Pf lifecycle stages will be aided by this cytometric strategy. (c) 2008 International Society for Advancement of Cytometry.

  14. An optimized DSP implementation of adaptive filtering and ICA for motion artifact reduction in ambulatory ECG monitoring.

    Science.gov (United States)

    Berset, Torfinn; Geng, Di; Romero, Iñaki

    2012-01-01

    Noise from motion artifacts is currently one of the main challenges in the field of ambulatory ECG recording. To address this problem, we propose the use of two different approaches. First, an adaptive filter with electrode-skin impedance as a reference signal is described. Secondly, a multi-channel ECG algorithm based on Independent Component Analysis is introduced. Both algorithms have been designed and further optimized for real-time work embedded in a dedicated Digital Signal Processor. We show that both algorithms improve the performance of a beat detection algorithm when applied in high noise conditions. In addition, an efficient way of choosing this methods is suggested with the aim of reduce the overall total system power consumption.

  15. 一个基于Web服务的在线优化和监控系统%An online optimization and monitoring system based on Web service technology

    Institute of Scientific and Technical Information of China (English)

    李相育; 钱宇

    2006-01-01

    Many information integration systems implemented in the process industry are based on Agent or CORBA technology. Thereare limitations in these schemes in terms of real time, security and stabilization in information communication. For a rational and better scheme, a novel Web service based optimization and monitoring system is implemented, in which some professional software such asMatlab, G2, GAMS are described as Web services by Web service wrapper and registered in the UDDI register centre. Finally the practicability and validity of the online optimization and monitoring system are verified through the application in the product development of Nipagin ester.%在流程工业,许多信息集成系统通过CORBA/Agent技术来实现,这些集成方案在实时性,安全性,以及数据通信的稳定性等方面尚待改进.为了研究更加合理的集成方案,实现了一个基于Web服务的在线优化和监控系统,在这个系统中,专业软件Matlab,G2,GAMS被分别封装成Web服务并在UDDI注册中心注册,然后实现了这些Web服务的集成.最后,通过在尼泊丁乙酯合成过程中的应用,证明了该在线优化和监控平台的有效性和适用性.

  16. Application of Frequency of Detection Methods in Design and Optimization of the INL Site Ambient Air Monitoring Network

    Energy Technology Data Exchange (ETDEWEB)

    Rood, Arthur S. [Idaho National Lab. (INL), Idaho Falls, ID (United States); Sondrup, A. Jeffrey [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-11-01

    This report presents an evaluation of a hypothetical INL Site monitoring network and the existing INL air monitoring network using frequency of detection methods. The hypothetical network was designed to address the requirement in 40 CFR Part 61, Subpart H (2006) that “emissions of radionuclides to ambient air from U.S. DOE facilities shall not exceed those amounts that would cause any member of the public to receive in any year an effective dose equivalent exceeding 10 mrem/year.” To meet the requirement for monitoring only, “radionuclide releases that would result in an effective dose of 10% of the standard shall be readily detectable and distinguishable from background.” Thus, the hypothetical network consists of air samplers placed at residence locations that surround INL and at other locations where onsite livestock grazing takes place. Two exposure scenarios were used in this evaluation: a resident scenario and a shepherd/rancher scenario. The resident was assumed to be continuously present at their residence while the shepherd/rancher was assumed to be present 24-hours at a fixed location on the grazing allotment. Important radionuclides were identified from annual INL radionuclide National Emission Standards for Hazardous Pollutants reports. Important radionuclides were defined as those that potentially contribute 1% or greater to the annual total dose at the radionuclide National Emission Standards for Hazardous Pollutants maximally exposed individual location and include H-3, Am-241, Pu-238, Pu 239, Cs-137, Sr-90, and I-131. For this evaluation, the network performance objective was set at achieving a frequency of detection greater than or equal to 95%. Results indicated that the hypothetical network for the resident scenario met all performance objectives for H-3 and I-131 and most performance objectives for Cs-137 and Sr-90. However, all actinides failed to meet the performance objectives for most sources. The shepherd/rancher scenario showed

  17. Analysis and optimization of Linux remote monitoring system based on DSP%基于DSP的Linux远程监控系统设计分析与优化

    Institute of Scientific and Technical Information of China (English)

    李森; 王超

    2014-01-01

    针对当前大多数数字信号处理器在控制和内存管理方面的缺陷,本文提出一个面向网络设备的嵌入式监控模型。该模型能最大限度的发挥数字信号处理器的性能,通过DSP芯片完成网络远程监控系统的主体搭建,并在此基础上进行此DSP系统的Linux平台移植,最后对视频压缩模块和实时传输模块进行四种优化方案阐述和测试分析。%For the defects in the control and memory management of the most current digital signal processor,in this paper a network model was depicted based on embedded monitoring.The model can maximize the performance of the digital signal processor,and build the main network remote monitoring system by DSP chip,then migrate it to Linux system,we describe four plans which can optimize the performance of video compress module and real-time transmission module,the testing results show the validity of these plan.

  18. Optimized two-dimensional thin layer chromatography to monitor the intracellular concentration of acetyl phosphate and other small phosphorylated molecules

    Science.gov (United States)

    2008-01-01

    Acetyl phosphate (acetyl-P) serves critical roles in coenzyme A recycling and ATP synthesis. It is the intermediate of the Pta-AckA pathway that inter-converts acetyl-coenzyme A and acetate. Acetyl-P also can act as a global signal by donating its phosphoryl group to specific two-component response regulators. This ability derives from its capacity to store energy in the form of a high-energy phosphate bond. This bond, while critical to its function, also destabilizes acetyl-P in cell extracts. This lability has greatly complicated biochemical analysis, leading in part to widely varying acetyl-P measurements. We therefore developed an optimized protocol based on two-dimensional thin layer chromatography that includes metabolic labeling under aerated conditions and careful examination of the integrity of acetyl-P within extracts. This protocol results in greatly improved reproducibility, and thus permits precise measurements of the intracellular concentration of acetyl-P, as well as that of other small phosphorylated molecules. PMID:18385806

  19. Condition Monitoring of Rolling Element Bearings Using Optimal Gabor Filters%采用Gabor滤波器的轴承状态监控方法

    Institute of Scientific and Technical Information of China (English)

    张丹; 隋文涛; 郭前建

    2016-01-01

    针对滚动轴承状态监控中最优共振频带难确定的问题,提出一种新的寻优方法和目标函数,可快速准确地定位共振频带,提取状态信息。通过两步网格搜索法,以包络稀疏性为目标函数,对Gabor滤波器参数寻优;然后对振动信号进行滤波并得到信号包络;最后运用包络自相关谱抑制噪声,突出运行状态信息。用仿真信号和实际信号对该方法进行了验证,结果表明,该方法能准确判明轴承运行状态。%Aiming to the difficulty in finding the resonant frequency band in condition monitoring of roll-ing element bearings, a new optimization method and objective function was proposed. The resonant fre-quency band can be located through this proposed method. Firstly, the parameters of Gabor filter are op-timized through the two-step grid search method, in which the envelope sparseness is as objective func-tion. The vibration signal was filtered through the optimal filter and the envelop signal was calculated. The envelop autocorrelation spectrum was adopted to restrain noise and highlight operation condition infor-mation. The effectiveness and advantages of the proposed method were proved through the simulation sig-nal and experimental signals. It is shown that the bearing operation condition can be recognized accurate-ly by the proposed method.

  20. A designated centre for people with disabilities operated by Brothers of Charity Services Clare, Clare

    LENUS (Irish Health Repository)

    Holland, Deirdre M

    2015-04-01

    Medication reconciliation is a basic principle of good medicines management. With the establishment of the National Acute Medicines Programme in Ireland, medication reconciliation has been mandated for all patients at all transitions of care. The clinical pharmacist is widely credited as the healthcare professional that plays the most critical role in the provision of medication reconciliation services.

  1. A designated centre for people with disabilities operated by Brothers of Charity Services Clare, Clare

    LENUS (Irish Health Repository)

    Irish, Muireann

    2011-08-04

    Abstract Background Decline in episodic memory is one of the hallmark features of Alzheimer\\'s disease (AD) and is also a defining feature of amnestic Mild Cognitive Impairment (MCI), which is posited as a potential prodrome of AD. While deficits in episodic memory are well documented in MCI, the nature of this impairment remains relatively under-researched, particularly for those domains with direct relevance and meaning for the patient\\'s daily life. In order to fully explore the impact of disruption to the episodic memory system on everyday memory in MCI, we examined participants\\' episodic memory capacity using a battery of experimental tasks with real-world relevance. We investigated episodic acquisition and delayed recall (story-memory), associative memory (face-name pairings), spatial memory (route learning and recall), and memory for everyday mundane events in 16 amnestic MCI and 18 control participants. Furthermore, we followed MCI participants longitudinally to gain preliminary evidence regarding the possible predictive efficacy of these real-world episodic memory tasks for subsequent conversion to AD. Results The most discriminating tests at baseline were measures of acquisition, delayed recall, and associative memory, followed by everyday memory, and spatial memory tasks, with MCI patients scoring significantly lower than controls. At follow-up (mean time elapsed: 22.4 months), 6 MCI cases had progressed to clinically probable AD. Exploratory logistic regression analyses revealed that delayed associative memory performance at baseline was a potential predictor of subsequent conversion to AD. Conclusions As a preliminary study, our findings suggest that simple associative memory paradigms with real-world relevance represent an important line of enquiry in future longitudinal studies charting MCI progression over time.

  2. A designated centre for people with disabilities operated by Brothers of Charity Services Clare, Clare

    LENUS (Irish Health Repository)

    Barker, Maja

    2007-01-01

    BACKGROUND: Self-perceptions of aging have been implicated as independent predictors of functional disability and mortality in older adults. In spite of this, research on self-perceptions of aging is limited. One reason for this is the absence of adequate measures. Specifically, there is a need to develop a measure that is theoretically-derived, has good psychometric properties, and is multidimensional in nature. The present research seeks to address this need by adopting the Self-Regulation Model as a framework and using it to develop a comprehensive, multi-dimensional instrument for assessing self-perceptions of aging. This study describes the validation of this newly-developed instrument, the Aging Perceptions Questionnaire (APQ). METHODS: Participants were 2,033 randomly selected community-dwelling older (+65 yrs) Irish adults who completed the APQ alongside measures of physical and psychological health. The APQ assesses self-perceptions of aging along eight distinct domains or subscales; seven of these examine views about own aging, these are: timeline chronic, timeline cyclical, consequences positive, consequences negative, control positive, control negative, and emotional representations; the eighth domain is the identity domain and this examines the experience of health-related changes. RESULTS: Mokken scale analysis showed that the majority of items within the views about aging subscales were strongly scalable. Confirmatory factor analysis also indicated that the model provided a good fit for the data. Overall, subscales had good internal reliabilities. Hierarchical linear regression was conducted to investigate the independent contribution of APQ subscales to physical and psychological health and in doing so determine the construct validity of the APQ. Results showed that self-perceptions of aging were independently related to physical and psychological health. Mediation testing also supported a role for self-perceptions of aging as partial mediators in the relationship between indices of physical functioning and physical and psychological health outcomes. CONCLUSION: Findings support the complex and multifaceted nature of the aging experience. The good internal reliability and construct validity of the subscales suggests that the APQ is a promising instrument that can enable a theoretically informed, multidimensional assessment of self-perceptions of aging. The potential role of self-perceptions of aging in facilitating physical and psychological health in later life is also highlighted.

  3. A designated centre for people with disabilities operated by Brothers of Charity Services Clare, Clare

    LENUS (Irish Health Repository)

    Morgan, Claire C

    2010-01-01

    ABSTRACT: BACKGROUND: Reproductive proteins are central to the continuation of all mammalian species. The evolution of these proteins has been greatly influenced by environmental pressures induced by pathogens, rival sperm, sexual selection and sexual conflict. Positive selection has been demonstrated in many of these proteins with particular focus on primate lineages. However, the mammalia are a diverse group in terms of mating habits, population sizes and germ line generation times. We have examined the selective pressures at work on a number of novel reproductive proteins across a wide variety of mammalia. RESULTS: We show that selective pressures on reproductive proteins are highly varied. Of the 10 genes analyzed in detail, all contain signatures of positive selection either across specific sites or in specific lineages or a combination of both. Our analysis of SP56 and Col1a1 are entirely novel and the results show positively selected sites present in each gene. Our findings for the Col1a1 gene are suggestive of a link between positive selection and severe disease type. We find evidence in our dataset to suggest that interacting proteins are evolving in symphony: most likely to maintain interacting functionality. CONCLUSION: Our in silico analyses show positively selected sites are occurring near catalytically important regions suggesting selective pressure to maximize efficient fertilization. In those cases where a mechanism of protein function is not fully understood, the sites presented here represent ideal candidates for mutational study. This work has highlighted the widespread rate heterogeneity in mutational rates across the mammalia and specifically has shown that the evolution of reproductive proteins is highly varied depending on the species and interacting partners. We have shown that positive selection and disease are closely linked in the Col1a1 gene.

  4. Improvement of in-hospital telemetry monitoring in coronary care units: an intervention study for achieving optimal electrode placement and attachment, hygiene and delivery of critical information to patients.

    Science.gov (United States)

    Pettersen, Trond R; Fålun, Nina; Norekvål, Tone M

    2014-12-01

    In-hospital telemetry monitoring is important for diagnosis and treatment of patients at risk of developing life-threatening arrhythmias. It is widely used in critical and non-critical care wards. Nurses are responsible for correct electrode placement, thus ensuring optimal quality of the monitoring. The aims of this study were to determine whether a complex educational intervention improves (a) optimal electrode placement, (b) hygiene, and (c) delivery of critical information to patients (reason for monitoring, limitations in cellular phone use, and not to leave the ward without informing a member of staff). A prospective interventional study design was used, with data collection occurring over two six-week periods: before implementation of the intervention (n=201) and after the intervention (n=165). Standard abstraction forms were used to obtain data on patients' clinical characteristics, and 10 variables related to electrode placement and attachment, hygiene and delivery of critical information. At pre-intervention registration, 26% of the electrodes were misplaced. Twelve per cent of the patients received information about limiting their cellular phone use while monitored, 70% were informed of the purpose of monitoring, and 71% used a protective cover for their unit. Post-intervention, outcome measures for the three variables improved significantly: use of protective cover (p<0.001), information about the purpose of monitoring (p=0.005) and information about limitations in cellular phone use (p=0.003). Nonetheless, 23% of the electrodes were still misplaced. The study highlights the need for better, continued education for in-hospital telemetry monitoring in coronary care units, and other units that monitor patients with telemetry. © The European Society of Cardiology 2013.

  5. Bravo capsule system optimizes intragastric pH monitoring over prolonged time: Effects of ghrelin on gastric acid and hormone secretion in the rat

    Institute of Scientific and Technical Information of China (English)

    Tobias Rudholm; Per Mikael Hellstrom; Elvar Theodorsson; Colin Allan Campbell; Peter Geoffrey McLean; Erik Naslund

    2008-01-01

    AIM: To evaluate measurements of intragastric pH with the Bravo capsule system over a prolonged time. METHODS: A Bravo capsule was placed inside the rat gastric body and pH was studied for periods up to five consecutive days. For comparison, a gastric fistula model was used. Effects of ghrelin and esomeprazole, with or without pentagastrin, on gastric pH were studied. In addition, effects of esomeprazole on plasma ghrelin, gastrin and somatostatin were analyzed. RESULTS: All rats recovered after surgery. The average 24-h pH during free feeding was 2.3±0.1 (η = 20) with a variation of 18%±6% over 5 d. Ghrelin, 2400 pmol/kg, t.i.d, increased pH from 1.7± 0.1 to 3.1±0.3 (P<0.01) as recorded with the Bravo system. After esomeprazole (1 mg/kg, 3 mg/kg and 5 mg/kg) there was a dose-dependent pH increase of maximally 3.4±0.1, with day-to-day variation over the entire period of 8%±3%. The fistula and pH studies generated similar results. Acid inhibition with esomeprazole increased plasma ghrelin from 10±2 pmol/L to 65±26 pmol/L (P<0.001), and somatostatin from 10±2 pmol/L to 67±18 pmol/L (P <0.001). CONCLUSION: pH measurements with the Bravo capsule are reliable, and comparable to those of the gastric fistula model. The Bravo system optimizes accurate intragastric pH monitoring over prolonged periods and allows both short- and long-term evaluation of effects of drugs and hormones.

  6. 洛河市区段河道监控系统的优化与设计%Optimization and Design of a Riverway Monitoring System in the Cantonal Area of Luohe River

    Institute of Scientific and Technical Information of China (English)

    时永鹏

    2012-01-01

    针对洛河市区段现有的河道监控系统提出了一种优化方法,提出了将热释电红外探测器应用到河道监控中,结合语音报警系统,构建了一种新的河道监控系统设计方案,该方案电路结构简单,可靠性强。%An optimization method for the existed riverway monitoring system in the cantonal area of Luohe river is presented. It is proposed that the pyroelectric infrared detector be applied to the riverway monitoring. Combined with the voice alarm system, a new riverway monitoring system with simple circuit structure and strong reliability is designed.

  7. 面向装备健康状态监测的传感器布置优化研究%Study on layout optimization of sensor for equipment health condition monitoring

    Institute of Scientific and Technical Information of China (English)

    陈伟; 李伟

    2012-01-01

    To improve the equipment health management level, layout optimization of condition monitoring sensor is studied. On the basis of analyzing main influencing factors, optimizes average comprehensive sensitivity of fault condition using sensor. Considering cost, fault rate and missed detection risk as constraint conditions, the ant colony algorithm is used to calculate the optimal solution. Optimization of type quantity and placement of sensor is realized, reliability of condition monitoring is improved, which lay a foundation for health management of equipment.%为了更好地对装备进行健康管理,从状态监测传感器布置优化的角度开展研究,在分析主要影响因素的基础上,利用传感器对故障状态的平均综合敏感度进行优化,同时考虑成本、故障率和漏检危害性作为约束条件,利用蚁群算法进行最优解的计算,实现传感器类型、数量和布点位置的优化,提高状态监测的可靠性,为装备健康管理奠定基础.

  8. A Lab-On-Chip Phosphate Analyzer for Long-term In Situ Monitoring at Fixed Observatories: Optimization and Performance Evaluation in Estuarine and Oligotrophic Coastal Waters

    Directory of Open Access Journals (Sweden)

    Maxime M. Grand

    2017-08-01

    Full Text Available The development of phosphate sensors suitable for long-term in situ deployments in natural waters, is essential to improve our understanding of the distribution, fluxes, and biogeochemical role of this key nutrient in a changing ocean. Here, we describe the optimization of the molybdenum blue method for in situ work using a lab-on-chip (LOC analyzer and evaluate its performance in the laboratory and at two contrasting field sites. The in situ performance of the LOC sensor is evaluated using hourly time-series data from a 56-day trial in Southampton Water (UK, as well as a month-long deployment in the subtropical oligotrophic waters of Kaneohe Bay (Hawaii, USA. In Kaneohe Bay, where phosphate concentrations were characteristic of the dry season (0.13 ± 0.03 μM, n = 704, the in situ sensor accuracy was 16 ± 12% and a potential diurnal cycle in phosphate concentrations was observed. In Southampton Water, the sensor data (1.02 ± 0.40 μM, n = 1,267 were accurate to ±0.10 μM relative to discrete reference samples. Hourly in situ monitoring revealed striking tidal and storm derived fluctuations in phosphate concentrations in Southampton Water that would not have been captured via discrete sampling. We show the impact of storms on phosphate concentrations in Southampton Water is modulated by the spring-neap tidal cycle and that the 10-fold decline in phosphate concentrations observed during the later stages of the deployment was consistent with the timing of a spring phytoplankton bloom in the English Channel. Under controlled laboratory conditions in a 250 L tank, the sensor demonstrated an accuracy and precision better than 10% irrespective of the salinity (0–30, turbidity (0–100 NTU, colored dissolved organic matter (CDOM concentration (0–10 mg/L, and temperature (5–20°C of the water (0.3–13 μM phosphate being analyzed. This work demonstrates that the LOC technology is mature enough to quantify the influence of stochastic events on

  9. Phasing Optimal Allocation of Power Quality Monitoring Devices Considering N-1 Conditions%计及N-1情况的电能质量监测装置阶段式优化配置

    Institute of Scientific and Technical Information of China (English)

    杨春雨

    2011-01-01

    To solve the problems that the power system is incomplete observable before power quality monitoring system installation completely and system key points can be monitored under N-1 conditions , optimal allocation methods of phasing power quality monitoring is proposed by considering N- 1 conditions. The optimal allocation model of complete observation is presented. Then the system redundant index is defined to consider multiple solutions in linear programming probably. At the same time, the optimal allocation model of complete observation is established by taking maximization number of observed nodes during and after the power quality monitoring devices installation and key nodes priority installation as goal. Finally, the results of the IEEE30-bus and IEEE118-bus system confirm that the proposed method is reasonable and effective.%针对电力系统在电能质量监测系统未完全安装完毕前为不完全观测及在N-1情况下需系统关键点可监测的问题,提出了计及N-1情况的电能质量监测装置阶段式优化配置方法,介绍了完全观测配置优化模型,针对线性规划中可能出现的多解情况定义了系统冗余性指标,以安装过程中及安装完毕后可观测节点数最大化及关键点优先安装为目标,构建了不完全观测的优化配置模型,并通过IEEE-30、IEEE-118节点系统进行了验证.结果表明,该方法合理、有效.

  10. Statistical analysis of the water-quality monitoring program, Upper Klamath Lake, Oregon, and optimization of the program for 2013 and beyond

    Science.gov (United States)

    Eldridge, Sara L. Caldwell; Wherry, Susan A.; Wood, Tamara M.

    2014-01-01

    Upper Klamath Lake in south-central Oregon has become increasingly eutrophic over the past century and now experiences seasonal cyanobacteria-dominated and potentially toxic phytoplankton blooms. Growth and decline of these blooms create poor water-quality conditions that can be detrimental to fish, including two resident endangered sucker species. Upper Klamath Lake is the primary water supply to agricultural areas within the upper Klamath Basin. Water from the lake is also used to generate power and to enhance and sustain downstream flows in the Klamath River. Water quality in Upper Klamath Lake has been monitored by the Klamath Tribes since the early 1990s and by the U.S. Geological Survey (USGS) since 2002. Management agencies and other stakeholders have determined that a re-evaluation of the goals for water-quality monitoring is warranted to assess whether current data-collection activities will continue to adequately provide data for researchers to address questions of interest and to facilitate future natural resource management decisions. The purpose of this study was to (1) compile an updated list of the goals and objectives for long-term water-quality monitoring in Upper Klamath Lake with input from upper Klamath Basin stakeholders, (2) assess the current water-quality monitoring programs in Upper Klamath Lake to determine whether existing data-collection strategies can fulfill the updated goals and objectives for monitoring, and (3) identify potential modifications to future monitoring plans in accordance with the updated monitoring objectives and improve stakeholder cooperation and data-collection efficiency. Data collected by the Klamath Tribes and the USGS were evaluated to determine whether consistent long-term trends in water-quality variables can be described by the dataset and whether the number and distribution of currently monitored sites captures the full range of environmental conditions and the multi-scale variability of water

  11. Cardiac output monitoring

    NARCIS (Netherlands)

    de Waal, Eric. E. C.; Wappler, Frank; Buhre, Wolfgang F.

    2009-01-01

    Purpose of review The primary goal of hemodynamic therapy is the prevention of inadequate tissue perfusion and inadequate oxygenation. Advanced cardiovascular monitoring is a prerequisite to optimize hemodynamic treatment in critically ill patients prone to cardiocirculatory failure. The most ideal

  12. 基于非负矩阵分解的机场噪声监测点优化布局%Optimal Locating Method for the Layout of Airport Noise Monitoring Sites Based on Non-negative Matrix Factorization

    Institute of Scientific and Technical Information of China (English)

    李永华; 唐先超

    2014-01-01

    近年来国内民航迅速发展,机场的新建、扩建和航空运输量的持续增长使得机场噪声污染事件不仅持续上升,而且噪声污染程度也日益加重,因而强化机场附近噪声污染的监测对机场建设及其环境评估十分重要。针对机场噪声污染监测问题,提出一种基于非负矩阵分解(NMF)方法对机场噪声监测点布局问题进行优化求解。该方法以大量网格点作为候选监测点,对单个飞机噪声事件候选监测点的噪声值所形成的矩阵按非负矩阵分解进行区域划分,得到噪声影响子区域。进一步以各子区域的中心点作为该区域的噪声影响代表点,以此确定机场噪声监测点数目和位置。研究结果表明所获得的解比贪心算法得到的解更优,需要的监测点更少。%With the rapid development of domestic civil aviation in recent years, noise pollution of airports is becoming a serious problem. Thus, strengthening the noise monitoring in the airport vicinity is very important for airport construction and environmental evaluation. Aiming at the monitoring of airport noise pollution, an optimization method based on non-negative matrix factorization (NMF) is put forward to optimize the layout of the noise monitoring sites. In this method, large number of the grid nodes is employed as the candidate monitoring points, and the non-negative matrix composed of the noise values from single flight event at the candidate monitoring points is formed. Then, the non-negative matrix is factorized to obtain the effective subdivision of noise. Furthermore, the location and number of the noise monitoring sites are determined by the representative central point of the effective subdivisions. It is shown that this method needs fewer monitoring locating sites and can get better results than the greedy algorithm.

  13. The Camino intracranial pressure sensor: is it optimal technology? An internal audit with a review of current intracranial pressure monitoring technologies.

    Science.gov (United States)

    Piper, I; Barnes, A; Smith, D; Dunn, L

    2001-11-01

    To audit the reliability of the Camino intracranial pressure (ICP) sensor (Camino Laboratories, San Diego, CA) in our clinical practice as part of a continuing quality assurance program, and to assess its relative usefulness as compared with currently available ICP monitoring technologies that we reviewed. Prospective audit of ICP device reliability and function in 50 patients with head injuries. Zero drift was recorded immediately after the ICP device was removed from the patient. Dynamic frequency response bench testing of each functioning catheter from 0 to 30 Hz and static calibration testing from 0 to 100 mmHg during environmental temperature variation from 22 to 40 degrees C were carried out. Zero drift (range, -13 to 22 mmHg; median, -1 mmHg) was recorded immediately after the devices were removed from patients. Seventeen (50%) of the devices tested for zero drift had absolute drifts of at least 3 mmHg. There was no correlation between recorded zero drift and duration of monitoring (r = 0.154, P = 0.207). Five sensors (10% of those tested) failed during patient monitoring and were replaced. Static and dynamic calibration tests of the functioning sensors were within the manufacturer's specifications. However, the sensitivity of the devices to environmental temperature remains a problem. The Camino ICP sensor remains one of the most popular ICP monitoring devices for use in patients with traumatic brain injuries. However, our recent in-house assessment demonstrated the robustness of the device to be less than adequate during routine practice. In this study, more than 50% exhibited zero drift greater than 3 mmHg, which is unacceptable in a catheter tip ICP monitoring device in which zero drift and calibration cannot be checked in vivo. A review of the literature revealed that other available ICP monitoring devices may prove to be more reliable and thus more appropriate for routine clinical measurement of ICP.

  14. Optimization of the most important operational parameters of a pneumatic seeder using real-time monitoring for Cucumber and Watermelon seeds

    Directory of Open Access Journals (Sweden)

    Z Abdolahzare

    2016-04-01

    devices for online measurement of various parameters, including: the actual forward speed, wheel sleep percent, drawbar pull, motor RPM, and fuel consumption. Wheel drive of the seed metering mechanism was equipped with Rotary Encoder model S48-8-0360ZT (TK1 to determine the seed disk rotation. For more precise vacuum pressure monitoring, a Vacuum Transmitter model BT 10-210 was used to measure relative pressure from 0 mbar to -1000 mbar. Investigation of seed falling trajectories was conducted using the AVI video acquisition system consisted of CCD (charge-coupled device camera (Fuji F660EXR capable of capturing images with a constant speed of 320 frames per second and a spatial resolution of 320×240 pixels. All data were transmitted to a data logger and displayed online on the PC's screen. For optimization of the factors affecting the performance of the pneumatic planter, the experiments were conducted with: two ranges of forward speeds [3 to 4 km h-1, and 6 to 8 km h-1; three levels of vacuum pressure [-2.5kPa, -3.5kPa and -4.5 kPa]; and two types of seed [cucumber and watermelon], keeping a three-factor factorial experimental design. The tests were replicated three times. The uniformity of seed spacing was measured with indicators described by kachman and smith (1995 which are defined as: I_miss=N_1/N×100 (1 I_mul=N_2/N×100 (2 I_qf=100-(I_mul+I_miss (3 P=s_d/x_ref (4 Which for planting distance of 45 cm, N1 is number of spacing > 1.5Xref; N2 is number of spacing ≤ 0.5Xref and N is total number of measured spacings, Sd is standard deviation of the spacing more than half but not more than 1.5 times, the set spacings Xref, Imiss is the miss index, Imul is the multiple index, quality of feed index Iq is the percentage of spacings that are more than half but not more than 1.5 times, the set planting distance and P is error index. Results and Discussion: According to the studies on both watermelon and cucumber, the ‘quality of feed index’ value in forward speed

  15. On the optimization of fiber Bragg grating optical sensor using genetic algorithm to monitor the strain of civil structure with high sensitivity

    Science.gov (United States)

    Kaur, Gurpreet; Kaler, Rajinder Singh; Kwatra, Naveen

    2016-08-01

    The effect of strain on civil structures is experimentally studied using fiber Bragg grating (FBG). The genetic algorithm is implemented to optimize the multiple parameters (Poisson's ratio, photoelastic coefficient P11, and photoelastic coefficient P12) of the proposed sensor. The optimized results helped in increasing the sensitivity in terms of wavelength shift. It is observed that the proposed FBG provides maximum wavelength shift of 38.16 nm with Poisson's ratio of 1.94, photoelastic coefficient P11 of 1.994, and photoelastic coefficient P12 of 1.8103.

  16. Optimization design for marine sediment monitoring frequency based on sedimentation rate%基于沉积速率确定海洋沉积物的监测频率

    Institute of Scientific and Technical Information of China (English)

    洛昊; 梁斌; 鲍晨光; 李冕; 于春艳; 马明辉

    2015-01-01

    为建立一套海洋沉积物监测频率的设计方法体系,作者根据中国海洋沉积物趋势性监测的特点和存在的问题,结合国内外海洋沉积物监测方案的设计理论和经验,建立了依据沉积速率确定海洋沉积物监测频率的方法和标准;基于210Pb 测年法和IDW空间插值法,绘制了中国监测海域的沉积速率空间分布图,并设计了不同空间尺度的海洋沉积物监测频率优化方案。结果显示,中国近岸区域沉积速率高于远海,河口区域沉积速率高,海湾沉积速率差异显著。其中,沉积速率高于1 cm/a的海域,监测频率为每年1次,如黄河口、长江口等河口区域;沉积速率低于1 cm/a的海域,监测周期为5 a,如渤海中部,黄海、东海远海区域等;个别沉积速率极低的海域,监测周期为10 a,如南沙海域(≤2 cm/1000 a)。监测频率高的区域主要集中在近岸沉积速率高的海域,而近海和远海沉积速率低的区域监测频率可适当降低。%According to the characteristics and the main problems of marine sediment monitoring in China, using the theory and experience of foreign and domestic marine sediment monitoring, the optimal design method and standard of marine sediment monitoring frequency were primarily established by sedimentation rate. Based on210 Pb radioactive dating and IDW interpolation, this paper put forward sedimentation rate distribution of Chinese ma-rine monitoring areas, and the optimization scheme of marine sediment monitoring frequency in different spatial scale. The results shows the deposition rate of offshore areas is higher than the open seas, and the deposition rate in Estuary is higher, it show significant differences in gulf. Monitoring frequency should be one time a year where deposition rate is higher than 1 cm/a, such as Yellow river estuary and Yangzi river estuary, and monitoring fre-quency should be one time per five year where deposition rate is lower than 1 cm

  17. Monitoring, Human Health Risk Assessment and Optimized Management for Typical Pollutants in Indoor Air from Random Families of University Staff, Wuhan City, China

    Directory of Open Access Journals (Sweden)

    Xiyao Chen

    2017-06-01

    Full Text Available In this study, 31 workers at a university were randomly selected for indoor environmental monitoring in Wuhan. Two indicators, formaldehyde and total volatile organic compounds (TVOC, and using 139 monitoring points, monitored the indoor environment (including home and workplace as well as the interior space of the main furniture. This study carried out the environmental quality assessment for TVOC based on the dB index method and the health risk assessment of indoor formaldehyde for the university staff receptors and, then focused on health risk in home environment to carry out detailed environmental health management. The results showed that TVOC in the three types of home spaces exceeded about 80% of the national standard. The excessive formaldehyde ratios for kitchens (79%, bedrooms (77% and living rooms (74% were calculated. Formaldehyde health risks all exceeded the United States Environmental Protection Agency, (USEPA acceptable risk threshold. The formaldehyde concentrations in workplaces were about 0.03 mg·m−3. While the risk contribution of the home environment to the total average health risk (0.0014, whether male and female is about 96%. For the adapted and unadapted persons, 90% and 55% of the monitoring points were located within the long-term tolerable range of TVOC decibel application, respectively. Long-term exposure to such an environment can lead to the Sick Building Syndrome (SBS. On the other hand, through comparison of the concentration of pollutants in the interior spaces of furniture and home spaces, it was determined tentatively that the pollutants were mainly concentrated in rarely used furniture. In summary, the air pollution in the studied homes of university staff was much serious than that in workplaces, which showed a need to manage TVOC and formaldehyde pollution by the three means: the purchase of green products, removal of internal pollution from furniture, and creating a good indoor volatile diffusion

  18. Optimal management of the critically ill: anaesthesia, monitoring, data capture, and point-of-care technological practices in ovine models of critical care.

    Science.gov (United States)

    Chemonges, Saul; Shekar, Kiran; Tung, John-Paul; Dunster, Kimble R; Diab, Sara; Platts, David; Watts, Ryan P; Gregory, Shaun D; Foley, Samuel; Simonova, Gabriela; McDonald, Charles; Hayes, Rylan; Bellpart, Judith; Timms, Daniel; Chew, Michelle; Fung, Yoke L; Toon, Michael; Maybauer, Marc O; Fraser, John F

    2014-01-01

    Animal models of critical illness are vital in biomedical research. They provide possibilities for the investigation of pathophysiological processes that may not otherwise be possible in humans. In order to be clinically applicable, the model should simulate the critical care situation realistically, including anaesthesia, monitoring, sampling, utilising appropriate personnel skill mix, and therapeutic interventions. There are limited data documenting the constitution of ideal technologically advanced large animal critical care practices and all the processes of the animal model. In this paper, we describe the procedure of animal preparation, anaesthesia induction and maintenance, physiologic monitoring, data capture, point-of-care technology, and animal aftercare that has been successfully used to study several novel ovine models of critical illness. The relevant investigations are on respiratory failure due to smoke inhalation, transfusion related acute lung injury, endotoxin-induced proteogenomic alterations, haemorrhagic shock, septic shock, brain death, cerebral microcirculation, and artificial heart studies. We have demonstrated the functionality of monitoring practices during anaesthesia required to provide a platform for undertaking systematic investigations in complex ovine models of critical illness.

  19. 煤矿数据远程监控的优化研究%Study on Optimization of Data Remote Monitoring of Coal Mine

    Institute of Scientific and Technical Information of China (English)

    熊晓明

    2013-01-01

    In order to improve the efficiency of coal mine remote monitoring, using the fuzzy clustering C algorithm for to clustering analysis for environmental data in coal mine. This paper firstly gave a brief introduction to mine data remote monitoring system, and then achieved optimizational research on remote monitoring and control from the background data processing, Lastly used the fuzzy clustering C algorithm to cluster complete data set, and the improved fuzzy clustering C algorithm to cluster incomplete data set, the experimental results showed that the obvious clustering effect, high stability, had certain research value.%为了提高煤矿数据远程监控的有效性,采用模糊聚类C算法对煤矿井下环境数据进行聚类分析。文章对现代化的煤矿数据远程监控系统进行了简要说明,从后台数据处理方向来实现远程监控的优化研究,采用模糊聚类C算法和改进的模糊聚类C算法分别对完整的数据样本和不完整的数据样本进行聚类,实验结果表明,聚类效果明显,稳定性高,具有一定的研究价值。

  20. Optimally Stopped Optimization

    Science.gov (United States)

    Vinci, Walter; Lidar, Daniel A.

    2016-11-01

    We combine the fields of heuristic optimization and optimal stopping. We propose a strategy for benchmarking randomized optimization algorithms that minimizes the expected total cost for obtaining a good solution with an optimal number of calls to the solver. To do so, rather than letting the objective function alone define a cost to be minimized, we introduce a further cost-per-call of the algorithm. We show that this problem can be formulated using optimal stopping theory. The expected cost is a flexible figure of merit for benchmarking probabilistic solvers that can be computed when the optimal solution is not known and that avoids the biases and arbitrariness that affect other measures. The optimal stopping formulation of benchmarking directly leads to a real-time optimal-utilization strategy for probabilistic optimizers with practical impact. We apply our formulation to benchmark simulated annealing on a class of maximum-2-satisfiability (MAX2SAT) problems. We also compare the performance of a D-Wave 2X quantum annealer to the Hamze-Freitas-Selby (HFS) solver, a specialized classical heuristic algorithm designed for low-tree-width graphs. On a set of frustrated-loop instances with planted solutions defined on up to N =1098 variables, the D-Wave device is 2 orders of magnitude faster than the HFS solver, and, modulo known caveats related to suboptimal annealing times, exhibits identical scaling with problem size.

  1. 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

  2. An official American Thoracic Society workshop report: optimal lung function tests for monitoring cystic fibrosis, bronchopulmonary dysplasia, and recurrent wheezing in children less than 6 years of age.

    Science.gov (United States)

    Rosenfeld, Margaret; Allen, Julian; Arets, Bert H G M; Aurora, Paul; Beydon, Nicole; Calogero, Claudia; Castile, Robert G; Davis, Stephanie D; Fuchs, Susanne; Gappa, Monika; Gustaffson, Per M; Hall, Graham L; Jones, Marcus H; Kirkby, Jane C; Kraemer, Richard; Lombardi, Enrico; Lum, Sooky; Mayer, Oscar H; Merkus, Peter; Nielsen, Kim G; Oliver, Cara; Oostveen, Ellie; Ranganathan, Sarath; Ren, Clement L; Robinson, Paul D; Seddon, Paul C; Sly, Peter D; Sockrider, Marianna M; Sonnappa, Samatha; Stocks, Janet; Subbarao, Padmaja; Tepper, Robert S; Vilozni, Daphna

    2013-04-01

    Although pulmonary function testing plays a key role in the diagnosis and management of chronic pulmonary conditions in children under 6 years of age, objective physiologic assessment is limited in the clinical care of infants and children less than 6 years old, due to the challenges of measuring lung function in this age range. Ongoing research in lung function testing in infants, toddlers, and preschoolers has resulted in techniques that show promise as safe, feasible, and potentially clinically useful tests. Official American Thoracic Society workshops were convened in 2009 and 2010 to review six lung function tests based on a comprehensive review of the literature (infant raised-volume rapid thoracic compression and plethysmography, preschool spirometry, specific airway resistance, forced oscillation, the interrupter technique, and multiple-breath washout). In these proceedings, the current state of the art for each of these tests is reviewed as it applies to the clinical management of infants and children under 6 years of age with cystic fibrosis, bronchopulmonary dysplasia, and recurrent wheeze, using a standardized format that allows easy comparison between the measures. Although insufficient evidence exists to recommend incorporation of these tests into the routine diagnostic evaluation and clinical monitoring of infants and young children with cystic fibrosis, bronchopulmonary dysplasia, or recurrent wheeze, they may be valuable tools with which to address specific concerns, such as ongoing symptoms or monitoring response to treatment, and as outcome measures in clinical research studies.

  3. Construction Equipment Monitoring System of the Optimization Control and Energy-saving%浅议建筑设备监控系统的优化控制与节能

    Institute of Scientific and Technical Information of China (English)

    李秀杰

    2012-01-01

    At present, our country construction equipment monitoring system already get more extensive application. But the fact is not very ideal, construction equipment monitoring system engineering from design, construction, commissioning, checking to operation management and so on each link in not norms of behavior, so that effective operation and management of equipment in the role of the systems rarely. Building lighting, heating, air conditioning, water supply system, office equipment and elevator of equipment such as energy consumption ~11 always be accompanied by the use of the building process and happen. In the whole life cycle of building, building materials and construction process of the consumption of energy resources accounts for only the total energy consumption by 20% or so, most of the energy consumption in buildings happened during operation. Building operation consumption can be through the advanced construction equipment monitoring system optimal management science, for saving energy Building operation consumption can be through the advanced construction equipment monitoring system optimal management science, for saving energy.%目前,我国建筑设备监控系统已得到较广泛的应用。但实际情况并不是非常理想,建筑设备监控系统工程从设计、施工、调试、验收到运行管理等各个环节都存在不规范的行为,以致有效投运并在设备管理上发挥作用的系统很少。建筑物照明、采暖、空调、给排水系统、办公设备和电梯等设备的能耗将一直伴随建筑物的使用过程。在建筑的全生命周期中,建筑材料和建造过程所消耗的能源一般只占其总能源消耗的20%左右,大部分能源消耗发生在建筑物运行过程中。建筑运行能耗可通过先进的建筑设备监控系统进行科学优化管理,实现节能降耗。

  4. Optimal Selection of Number and Location of Meteo-Hydrological Monitoring Networks on Vu Gia – Thu Bon River Basin using GIS

    Directory of Open Access Journals (Sweden)

    Nguyen Thi Hong

    2016-05-01

    Full Text Available Meteorological data play a particularly important role in hydrologic research because the climate and weather of an area exert a profound influence on most hydrologic processes. Meanwhile, hydrological data are critical for performing a range of purposes, including water resources assessment, impacts of climate change and flood forecasting and warning. It can be said that the prevention of disasters caused by floods and droughts would be impossible without rational forecasting technology based on an understanding of the rainfall-runoff phenomenon and statistical analysis of past hydrological data, which cannot be achieved without meteo-hydrological observations. The lack of adequate meteo-hydrological data affects the ability to model, predict and plan for catastrophic events such as floods and droughts which have obvious negative impacts on public health and socio-economic aspects. The accurate estimation of the spatial distribution of meteorological and hydrological parameters requires a dense network of instruments, which entails large installation and operational costs. It is thus necessary to optimize the number and location of meteo-hydrological stations. This paper presents a GIS-based approach to establishing an optimal meteo-hydrological station network on Vu Gia- Thu Bon river basin for developing an up-to-date real time flood warning system. Based on statistical analysis of the annual rainfall total data at 9 existing gauges in the study area from 1980 to 2013, it showed that the error of the existing network was about 7.47%. Considering 9 rain gauges as a standard representative of rainfall over the region, if the error decreases from 7.47% to 5%, the number of additional rain gauges should be 20. For adequate and economical network design, these additional rain gauges were spatially distributed between the different isohyetals after considering the relative distances between rain gauges, their accessibility, personnel required for

  5. An optimal solution for enhancing ambulance safety: implementing a driver performance feedback and monitoring device in ground emergency medical service vehicles.

    Science.gov (United States)

    Levick, Nadine R; Swanson, Jon

    2005-01-01

    A prospective study was conducted to determine if emergency vehicle driver risk behavior could be improved with an onboard computer-monitoring device, with real time auditory feedback. Data were collected over 18 months from 36 vehicles in a metropolitan EMS group, with >250 drivers. In >1.9 million recorded miles, performance improved from a baseline low of 0.018 miles between penalty counts to a high of 15.8 miles between counts. Seatbelt violations dropped from 13,500 to 4. There was a 20% saving in vehicle maintenance costs within 6 months. This technology demonstrated sustained cost savings in regards to vehicle maintenance as well as minimal retraining of drivers.

  6. Topology Reliability Design and Optimization Analysis of IoT-Based Monitoring%物联网监测拓扑可靠性设计与优化分析

    Institute of Scientific and Technical Information of China (English)

    田立勤; 林闯; 张琪; 陈振国

    2014-01-01

    unstable information transmission environment, this paper presents an effective mechanism and quantitative analysis method to guarantee the reliability of monitored region and remote backbone topology. This method highlights a dynamic optimization strategy to the topological reliability of those key transmission nodes. Theoretical analysis and simulation results show that this method is placed on traits such as even data fusion, effective energy saving and extensibility and is remarkable in improving the reliability of IoT-based remote monitoring. At the same time, theories from this paper have important theoretical and actual application reference value in guaranteeing topological reliability of IoT-based remote real-time monitoring of large region, such as agriculture, animal husbandry and forestry related industries.

  7. The Optimization of Mounting and Dismantling Method About in-Core Refuelling Monitoring System%堆内换料监测系统安装及拆卸方法优化

    Institute of Scientific and Technical Information of China (English)

    马孝龙; 尹江辉; 眭海军; 浦绍俭

    2016-01-01

    In-core refuelling monitoring system (RMS) in Tianwan nuclear power station(TNPS) mount detectors in vessel barrel, as supplement of source range in out-core nuclear instrument system, it is used to monitor neutron during reactor refueling. This paper introduces the RMS, contrapose the disadvantage on original mounting and dismantling method of RMS, such as the low degree of mechanization, long maintenance time, high operating risk, TNPS conducted research and optimization, and achieve good effects in application, this paper introduces the process of optimization and application effects in detail.%田湾核电站堆内换料监测系统(RMS)的探测器安装在堆芯围板中,作为堆外核测系统源量程的补充,用于堆芯换料期间中子的监测。本文对RMS系统进行简要介绍,针对俄罗斯原设计的系统安装和拆卸方法存在的问题,比如机械化程度低、占用大修主线时间长和工作风险高等,田湾核电站进行了深入研究和优化,在应用中取得了良好效果,文中对优化过程及应用效果进行了详细介绍。

  8. An official American Thoracic Society statement: continuous positive airway pressure adherence tracking systems. The optimal monitoring strategies and outcome measures in adults.

    Science.gov (United States)

    Schwab, Richard J; Badr, Safwan M; Epstein, Lawrence J; Gay, Peter C; Gozal, David; Kohler, Malcolm; Lévy, Patrick; Malhotra, Atul; Phillips, Barbara A; Rosen, Ilene M; Strohl, Kingman P; Strollo, Patrick J; Weaver, Edward M; Weaver, Terri E

    2013-09-01

    Continuous positive airway pressure (CPAP) is considered the treatment of choice for obstructive sleep apnea (OSA), and studies have shown that there is a correlation between patient adherence and treatment outcomes. Newer CPAP machines can track adherence, hours of use, mask leak, and residual apnea-hypopnea index (AHI). Such data provide a strong platform to examine OSA outcomes in a chronic disease management model. However, there are no standards for capturing CPAP adherence data, scoring flow signals, or measuring mask leak, or for how clinicians should use these data. American Thoracic Society (ATS) committee members were invited, based on their expertise in OSA and CPAP monitoring. Their conclusions were based on both empirical evidence identified by a comprehensive literature review and clinical experience. CPAP usage can be reliably determined from CPAP tracking systems, but the residual events (apnea/hypopnea) and leak data are not as easy to interpret as CPAP usage and the definitions of these parameters differ among CPAP manufacturers. Nonetheless, ends of the spectrum (very high or low values for residual events or mask leak) appear to be clinically meaningful. Providers need to understand how to interpret CPAP adherence tracking data. CPAP tracking systems are able to reliably track CPAP adherence. Nomenclature on the CPAP adherence tracking reports needs to be standardized between manufacturers and AHIFlow should be used to describe residual events. Studies should be performed examining the usefulness of the CPAP tracking systems and how these systems affect OSA outcomes.

  9. An optimized algorithm of image stitching in the case of a multi-modal probe for monitoring the evolution of scars

    Science.gov (United States)

    Kassab, R.; Treuillet, S.; Marzani, F.; Pieralli, C.; Lapayre, J. C.

    2013-03-01

    We propose a new system that makes possible to monitor the evolution of scars after the excision of a tumorous dermatosis. The hardware part of this system is composed of a new optical innovative probe with which two types of images can be acquired simultaneously: an anatomic image acquired under a white light and a functional one based on autofluorescence from the protoporphyrin within the cancer cells. For technical reasons related to the maximum size of the area covered by the probe, acquired images are too small to cover the whole scar. That is why a sequence of overlapping images is taken in order to cover the required area. The main goal of this paper is to describe the creation of two panoramic images (anatomic and functional). Fluorescence images do not have enough salient information for matching the images; stitching algorithms are applied over each couple of successive white light images to produce an anatomic panorama of the entire scar. The same transformations obtained from this step are used to register and stitch the functional images. Several experiments have been implemented using different stitching algorithms (SIFT, ASIFT and SURF), with various transformation parameters (angles of rotation, projection, scaling, etc…) and different types of skin images. We present the results of these experiments that propose the best solution. Thus, clinician has two panoramic images superimposed and usable for diagnostic support. A collaborative layer is added to the system to allow sharing panoramas among several practitioners over different places.

  10. Combining PLS regression with portable NIR spectroscopy to on-line monitor quality parameters in intact olives for determining optimal harvesting time.

    Science.gov (United States)

    Fernández-Espinosa, Antonio J

    2016-01-01

    This study presents a systematized method for predicting water content, fat content and free acidity in olive fruits by on-line NIR Spectroscopy combined with chemometric techniques (PCA, LDA and PLSR). Three cultivar varieties of Olea europaea - Hojiblanca cv., Picual cv. and Arbequina cv. - were monitored. Five olive cultivation areas of Southern Spain (Andalucia) and Southern Portugal (Alentejo) were studied in 2011 and 2012. 465 olive samples were collected during the ripening process (non-mature olives) and compared with other 203 samples of mature olives collected at the final ripening stage. NIR spectra were measured directly in the olive fruits in the wavelength region from 1000 to 2300 nm in reflectance mode. The reference analyses were performed on the olive paste by oven drying for the moisture, by mini-Soxhlet extraction for the fat content and by acid titration of the oil extracted from the olive paste. Calibrations and predictive models were developed by Partial Least Square Regression (PLSR) previous Principal Component and Linear Discriminant analyses (PCA and LDA) were employed as exploratory and clean-up tools of data sets. The final models obtained for the total samples showed acceptable statistics of prediction with R(2)=0.88, RMSEV%=4.88 and RMSEP%=4.98 for water content, R(2)=0.76, RMSECV%=19.5 and RMSEP%=20.0 for fat content and R(2)=0.83, RMSECV%=36.8 and RMSEP%=38.8 for free acidity. Regression coefficients were better for only one maturity state (ripe period) than for olive fruit with different composition (ripening period). All models obtained were applied to predict LQPs on a new set of samples with satisfactory results, a good prediction potential of the models.

  11. The Development and Optimization of Techniques for Monitoring Water Quality on-Board Spacecraft Using Colorimetric Solid-Phase Extraction (C-SPE)

    Energy Technology Data Exchange (ETDEWEB)

    Hill, April Ann [Iowa State Univ., Ames, IA (United States)

    2007-12-01

    The main focus of this dissertation is the design, development, and ground and microgravity validation of methods for monitoring drinking water quality on-board NASA spacecraft using clorimetric-solid phase extraction (C-SPE). The Introduction will overview the need for in-flight water quality analysis and will detail some of the challenges associated with operations in the absence of gravity. The ability of C-SPE methods to meet these challenges will then be discussed, followed by a literature review on existing applications of C-SPE and similar techniques. Finally, a brief discussion of diffuse reflectance spectroscopy theory, which provides a means for analyte identification and quantification in C-SPE analyses, is presented. Following the Introduction, four research chapters are presented as separate manuscripts. Chapter 1 reports the results from microgravity testing of existing C-SPE methods and procedures aboard NASA's C-9 microgravity simulator. Chapter 2 discusses the development of a C-SPE method for determining the total concentration of biocidal silver (i.e., in both dissolved and colloidal forms) in water samples. Chapter 3 presents the first application of the C-SPE technique to the determination of an organic analyte (i.e., formaldehyde). Chapter 4, which is a departure from the main focus of the thesis, details the results of an investigation into the effect of substrate rotation on the kinetics involved in the antigen and labeling steps in sandwich immunoassays. These research chapters are followed by general conclusions and a prospectus section.

  12. Mathematical model of optimizing the arrival of fire units with the use of information systems for monitoring transport logistics of Voronezh city

    Directory of Open Access Journals (Sweden)

    A. V. Kochegarov

    2016-01-01

    Full Text Available In recent years, the strong pace of construction is increasing in big cities. With their growth becomes a question of the deployment of firefighters and the number of fire stations. The most effective solution is the problem of finding the optimum route of fire departments, taking into account the information transport logistics systems within the city that will allow us to arrive at the scene at any time, regardless of the degree of congestion of city roads. Prompt arrival of fire units provides the most successful fire fighting. The main objective of the study is to develop a preliminary route and the route in case of unforeseen factors affecting the time fire engine arrived. To construct the routes used to develop actively in the current methods of machine learning artificial neural networks. To construct the optimal route requires a correct prediction of the future behavior of a complex system of urban traffic based on its past behavior. Within the framework of statistical machine learning theory considered the problem of classification and regression. The learning process is to select a classification or a regression function of a predetermined broad class of such functions. After determining the prediction scheme, it is necessary to evaluate the quality of its forecasts, which are measured not on the basis of observations, and on the basis of an improved stochastic process, the result of the construction of the prediction rules. The model is verified on the basis of data collected in real departures real fire brigades, which made it possible to obtain a minimum time of arrival of fire units.

  13. St. Dominic Savio Nursing Home, Cahilly, Liscannor, Clare.

    LENUS (Irish Health Repository)

    Lee, Graham R

    2016-04-01

    High sensitivity cardiac troponin T and I (hs-cTnT and hs-cTnI) assays show analytical, diagnostic and prognostic improvement over contemporary sensitive cTn assays. However, given the importance of troponin in the diagnosis of myocardial infarction, implementing this test requires rigorous analytical and clinical verification across the total testing pathway. This was the aim of this study.

  14. Ennis Nursing Home, Showgrounds Road, Drumbiggle, Ennis, Clare.

    LENUS (Irish Health Repository)

    Pinhasi, Ron

    2010-01-01

    In 2008, a well preserved and complete shoe was recovered at the base of a Chalcolithic pit in the cave of Areni-1, Armenia. Here, we discuss the chronology of this find, its archaeological context and its relevance to the study of the evolution of footwear. Two leather samples and one grass sample from the shoe were dated at the Oxford Radiocarbon Accelerator Unit (ORAU). A third leather sample was dated at the University of California-Irvine Accelerator Mass Spectrometry Facility (UCIAMS). The R_Combine function for the three leather samples provides a date range of 3627-3377 Cal BC (95.4% confidence interval) and the calibrated range for the straw is contemporaneous (3627-3377 Cal BC). The shoe was stuffed with loose, unfastened grass (Poaceae) without clear orientation which was more than likely used to maintain the shape of the shoe and\\/or prepare it for storage. The shoe is 24.5 cm long (European size 37), 7.6 to 10 cm wide, and was made from a single piece of leather that wrapped around the foot. It was worn and shaped to the wearer\\'s right foot, particularly around the heel and hallux where the highest pressure is exerted in normal gait. The Chalcolithic shoe provides solid evidence for the use of footwear among Old World populations at least since the Chalcolithic. Other 4th millennium discoveries of shoes (Italian and Swiss Alps), and sandals (Southern Israel) indicate that more than one type of footwear existed during the 4th millennium BC, and that we should expect to discover more regional variations in the manufacturing and style of shoes where preservation conditions permit.

  15. St. Dominic Savio Nursing Home, Cahilly, Liscannor, Clare.

    LENUS (Irish Health Repository)

    Scully, Patricia

    2012-09-20

    Interruptions and distractions are significant factors in medication errors in the pharmacy environment. “Although only a small percentage of these errors cause harm, medication errors need to be minimised in an effort to improve patient safety1.”\\r\

  16. Athlunkard House Nursing Home at St. Nicholas, Athlunkard, Westbury, Clare.

    LENUS (Irish Health Repository)

    Murray, Elizabeth

    2010-10-20

    Abstract Background The past decade has seen considerable interest in the development and evaluation of complex interventions to improve health. Such interventions can only have a significant impact on health and health care if they are shown to be effective when tested, are capable of being widely implemented and can be normalised into routine practice. To date, there is still a problematic gap between research and implementation. The Normalisation Process Theory (NPT) addresses the factors needed for successful implementation and integration of interventions into routine work (normalisation). Discussion In this paper, we suggest that the NPT can act as a sensitising tool, enabling researchers to think through issues of implementation while designing a complex intervention and its evaluation. The need to ensure trial procedures that are feasible and compatible with clinical practice is not limited to trials of complex interventions, and NPT may improve trial design by highlighting potential problems with recruitment or data collection, as well as ensuring the intervention has good implementation potential. Summary The NPT is a new theory which offers trialists a consistent framework that can be used to describe, assess and enhance implementation potential. We encourage trialists to consider using it in their next trial.

  17. Multi-core Optimization of Network Content Monitoring Class System of Innovative Applied Research%多核优化网络内容监测类系统的创新应用研究

    Institute of Scientific and Technical Information of China (English)

    周慧琴

    2014-01-01

    目前,互联网中充斥着大量不良信息,包括非法信息、色情信息和暴力信息等,这些不良信息通常以电子邮件、网页浏览、论坛发帖的形式进行传播.文章以自主研发的网络内容监测系统(IRCMS)为实例,分析了IRCMS存在的系统网络性能瓶颈问题,根据实际问题提出了一套IRCMS多核平台性能优化策略,经过实验研究发现,当有7个核心处理器同时进行计算时,网络内容监测系统的数据信息吞吐量可以达到优化之前的436.10%,真正提高了系统的网络性能.%Currently,the Internet is full of a lot of bad information,including the illegal information,pornography and violence information,bad information spread usually by e-mail,web browsing,and the form of forum posting. Independent research and development of network content monitoring system (IRCMS ) for instance, analyzed IRCMS system network performance bottlenecks. According to the practical problems,presented the IRCMS multi-core platform performance optimization strategy,the experimental study found that the data throughput of the network content monitoring system can be achieved 436. 10% as before op-timization,when seven core the processors are calculated at the same time. These improved the network performance of the system.

  18. Optimal Sensor Placement for Health Monitoring of Boom Structure of Concrete Pump Truck%混凝土泵车臂架结构健康监测传感器优化布置

    Institute of Scientific and Technical Information of China (English)

    滑广军; 吴运新

    2012-01-01

    In order to implement the optimal placement of strain sensors for the health monitoring of flexible multi-body structures such as the boom structure of concrete pump trucks, a fuzzy support degree matrix is constructed by using the correlation coefficients of strain signals of the measuring points to be selected, and the comprehensive support degree of each measuring point is calculated. Then, some factors, such as the stress level, the sensor installation difficulty, the measuring point security and the stress gradient, are classified and standardized, and the weight of each factor is determined through an analytical hierarchy process. Moreover, the sensor locations are optimized according to the comprehensive evaluation results. Finally, a typical four-segment boom concrete pump truck is selected as the object to perform the sensor placement optimization under four different working conditions. The results show that the proposed comprehensive evaluation method is both stable and feasible.%为实现混凝土泵车臂架类柔性多体结构健康监测的应变传感器优化布置,首先,利用各待选测点应变信号的相关系数构建了模糊支持度矩阵,计算了各待选测点的综合支持度;然后,将待选测点应力水平、传感器安装难易程度、测点安全性、应力梯度等因素进行了分级及标准量化;接着,利用层次分析法确定了各个因素的权重关系;最后,利用综合评价法对待选测点进行优化,确定了健康监测测点的最优位置.文中还以某四节臂架泵车为例,选择4种工况分别对其应变传感器的布置进行了优化,结果证明了该综合评价方法的稳定性和可行性.

  19. 网络寿命最优的管道监测传感网节点部署研究%Research on node deployment based on optimal network lifetime in pipeline monitoring sensor networks

    Institute of Scientific and Technical Information of China (English)

    余阳; 吴银锋; 于宁; 冯仁剑; 万江文

    2012-01-01

    This paper puts forward a sort of optimal node deployment scheme of pipeline monitoring sensor networks to lower the network node energy consumption and prolong network lifetime. Network cost-lifetime is adopted as the optimization objective. The relationship among network size, node spacing and data transmission structure is intensively analyzed. And a mathematical model of network deployment optimization problem is set up, which is solved using hybrid genetic algorithm. The algorithm amends the infeasible solution with external function method. In the meantime , the simulated annealing operator is used in the algorithm to enhance the searching capability. Theoretical analysis and experiment result show that compared with existing node deployment schemes, the new scheme not only reduces node energy consumption and balances network load, but also benefits network lifetime.%提出一种管道监测传感网中节点的优化部署方案,以降低天然气管道监测网络的节点能耗和延长网络寿命.采用一种新的性能指标——成本寿命作为优化目标,分析网络规模、节点间距以及数据传输结构对优化目标的影响,并建立求解节点部署优化问题的数学模型.模型的求解采用混合遗传算法,利用外点函数法修正不满足约束条件的解,同时把退火选择算子嵌入到实数编码的遗传算法中,增强其搜索能力.理论分析和实验结果表明,该方案不仅能够降低网络的节点能耗,平衡网络负载,而且对网络寿命有益处.

  20. optimal control

    Directory of Open Access Journals (Sweden)

    L. I. Rozonoer

    1999-01-01

    Full Text Available Necessary and sufficient conditions for existence of optimal control for all initial data are proved for LQ-optimization problem. If these conditions are fulfilled, necessary and sufficient conditions of optimality are formulated. Basing on the results, some general hypotheses on optimal control in terms of Pontryagin's maximum condition and Bellman's equation are proposed.

  1. ATLAS Offline Software Performance Monitoring and Optimization

    CERN Document Server

    Chauhan, N; Kittelmann, T; Langenberg, R; Mandrysch , R; Salzburger, A; Seuster, R; Ritsch, E; Stewart, G; van Eldik, N; Vitillo, R

    2014-01-01

    In a complex multi-developer, multi-package software environment, such as the ATLAS offline Athena framework, tracking the performance of the code can be a non-trivial task in itself. In this paper we describe improvements in the instrumentation of ATLAS offline software that have given considerable insight into the performance of the code and helped to guide optimisation. Code can be instrumented firstly using the PAPI tool, which is a programing interface for accessing hardware performance counters. PAPI events can count floating point operations, cycles and instructions and cache accesses. Triggering PAPI to start/stop counting for each algorithm and processed event gives a good understanding of the whole algorithm level performance of ATLAS code. Further data can be obtained using pin, a dynamic binary instrumentation tool. Pintools can be used to obtain similar statistics as PAPI, but advantageously without requiring recompilation of the code. Fine grained routine and instruction level instrumentation is...

  2. ATLAS Offline Software Performance Monitoring and Optimization

    CERN Document Server

    Chauhan, N; The ATLAS collaboration; Kittelmann, T; Langenberg, R; Mandrysch , R; Salzburger, A; Seuster, R; Ritsch, E; Stewart, G; van Eldik, N; Vitillo, R

    2013-01-01

    In a complex multi-developer, multi-package software environment, such as the ATLAS offline Athena framework, tracking the performance of the code can be a non-trivial task in itself. In this paper we describe improvements in the instrumentation of ATLAS offline software that have given considerable insight into the performance of the code and helped to guide optimisation. Code can be instrumented firstly using the PAPI tool, which is a programing interface for accessing hardware performance counters. PAPI events can count floating point operations, cycles and instructions and cache accesses. Triggering PAPI to start/stop counting for each algorithm and processed event gives a good understanding of the whole algorithm level performance of ATLAS code. Further data can be obtained using pin, a dynamic binary instrumentation tool. Pintools can be used to obtain similar statistics as PAPI, but advantageously without requiring recompilation of the code. Fine grained routine and instruction level instrumentation is...

  3. High Temperature ESP Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Jack Booker; Brindesh Dhruva

    2011-06-20

    The objective of the High Temperature ESP Monitoring project was to develop a downhole monitoring system to be used in wells with bottom hole well temperatures up to 300°C for measuring motor temperature, formation pressure, and formation temperature. These measurements are used to monitor the health of the ESP motor, to track the downhole operating conditions, and to optimize the pump operation. A 220 ºC based High Temperature ESP Monitoring system was commercially released for sale with Schlumberger ESP motors April of 2011 and a 250 ºC system with will be commercially released at the end of Q2 2011. The measurement system is now fully qualified, except for the sensor, at 300 °C.

  4. 结构健康监测中基于多重优化策略的传感器布置方法%Multiple optimization strategies based sensor placement method for structural health monitoring

    Institute of Scientific and Technical Information of China (English)

    伊廷华; 李宏男; 顾明

    2011-01-01

    如何在满足测试要求的前提下确定所需传感器的数目并优化其布设位置,已成为结构健康监测中亟待解决的问题。提出一种基于多重优化策略的传感器分步布设方法,首先以模态向量矩阵列主元正交三角分解得到传感器的初始布设位置;然后以模态置信度矩阵的最大非对角元为目标函数,采用逐步累积法,逐步增加可降低此初始布置模态置信度矩阵非对角元的传感器测点,并考虑非对角元均值的变化幅度,确定所需传感器的数量;最后通过基于二重结构编码的广义遗传算法优化传感器的布设位置。以600 m高的广州新电视塔为例,分析了传感器优化布置方案,发现对于刚度有突变的结构(如电视塔的塔身和天线),应对两者分开考虑传感器的布设。%How to determine the quantity of the sensors and the optimal sensor placement to satisfy the testing requirements is a primary problem to be solved in the structural health monitoring.A new step-by-step sensor placement method based on the multiple optimization strategies was proposed.The initial sensor placement was firstly obtained by the QR-factorization.Then the maximum off-diagonal element of the modal assurance criterion(MAC) matrix was taken as the target function.The freedoms of the structure by the forward sequential sensor placement algorithm were gradually added to reduce the off-diagonal element of the MAC.Considering the change extent of the off-diagonal element's mean value,the quantity of the sensors could be determined.Finally,the plan of optimal sensor placement could be obtained by the dual-structure codes-based generalized genetic algorithm.In the end,the analysis of the optimal sensor placement for the 600 m Guangzhou New TV Tower(GNTVT) was performed.The results show that,for the structures with stiffness mutation(like the main tower and antennary mast of GNTVT),the sensor placement had better to be

  5. Optimization of Electrical Methods for Sub -surface Monitoring of Biological Contamination: From Micro-scale to Macroscopic one through Sub-micrometric Topographic and Electrochemical Studies of Oxydation/Reduction Processes Provoked by Bacteria

    Science.gov (United States)

    Dhahri, S.; Marliere, C.

    2012-12-01

    the observed crossed correlations between physical, chemical and biological processes induced by the studied bacteria and the resulting variations of electrical signals as measured at different length scales. We indeed used variable sizes for the electrodes - from 10cm -square (colonies of around 10000 bacteria) to 0.1-1microns -square (the scale of an individual cell) thanks to newly manufactured AFM -SECM probes (using Focused Ion Beam - FIB method). These experiments were done with several bacterial strains, various medias (inoculated by bacteria versus non -inoculated). Furthermore, these results will shortly be applied to the optimized monitoring of the in -situ activity of bacteria consuming oil pollutants, following this way, in real -time, the bioremediation of an oil -contaminated soil (ANR ECOTECH_BIOPHY program).

  6. Optimization research on SDI test technology monitoring influent water quality in reverse osmosis system%反渗透系统进水SDI测试技术的优化研究

    Institute of Scientific and Technical Information of China (English)

    王旭亮; 潘献辉; 郝军; 张艳萍

    2013-01-01

    淤泥密度指数(SDI)作为重要的水质参数可以有效评价反渗透系统进水水质.开展反渗透系统进水SDI测试技术研究,考察各种测试条件和进水性质对SDI的影响,优化测试方法,从而实现对SDI准确高效的监测与分析.结果表明,SDI测试结果与测试条件密切相关,它随着测试时间间隔的缩短而增大,随着测试体积的增加而减小,随着测试水温的升高,SDI值会有增大的趋势,随着压力的增加,SDI值也会明显地增大;低浊度是反渗透系统进水的必要条件,测试时需控制进水的浊度在0.10 NTU以下.%Alstraet:Silt density index (SDI) is an important water quality parameter for evaluating influent water quality of reverse osmosis system.A research on SDI test technology monitoring influent water quality in reverse osmosis system was carried out.The effects of different conditions and influent water characteristics on SDI were investigated,and then,an optimized testing method was put forward,so as to realize the accurate and efficient monitoring of SDI.The test results showed that,SDI values were closely related to test conditions:it increased with the shortening of time interval between tests; decreased with the increasing of water sample volume; furthermore,along with the increasing of water temperature and pressure,SDI value also increased obviously.As low turbidity was a necessary characteristic of the influent water of reverse osmosis system,the turbidity of water sample should be controlled below 0.10 NTU during the SDI test.

  7. Monitoring blazars with FACT

    Energy Technology Data Exchange (ETDEWEB)

    Mannheim, Karl [Lehrstuhl fuer Astronomie, Universitaet Wuerzburg (Germany)

    2012-07-01

    The FACT collaboration operates an imaging air-Cherenkov telescope on La Palma optimized for monitoring bright blazars. Recently, the collaboration reported a technological breakthrough. For the first time, avalanche photo diodes operated in Geiger mode have been employed in the camera. The low power consumption, high quantum efficiency, and high reliability of the novel semi-conductor based camera is the key to robotic operation needed for monitoring. Moreover, linearity permits observations even during moon light. Analysis of gamma-ray lightcurves of blazars holds the key to understand particle acceleration and its relation to the central engine.

  8. Criteria for the optimal structuring of a groundwater quality monitoring network based on the time-space co-kriging estimation variance; Criterio per la configurazione ottimale di una rete di monitoraggio delle acque sotterranee basata sulla varianza di stima del cokriging spazio-temporale

    Energy Technology Data Exchange (ETDEWEB)

    Passarella, Giuseppe; Vurro, Michele [CNR, Bari (Italy). IRSA, Istituto di Ricerche sulle Acque; D`Agostino, Vito [Tecnopolis - Novus Ortus, Bari (Italy)

    1997-11-01

    Parameters estimation based on sampled data strongly influences managerial choices. A methodology based on cokriging estimation variance (CEV) evaluation is presented, useful to minimise the samples in an existing monitoring network keeping the CEV below a desired threshold. The spatial behaviour of the considered chemical parameter is assumed persistent in time so that the variogram parameters are evaluated using data from previous sampling campaigns. A sequential elimination procedure has been used to assess the optimal sampling arrangement for estimating concentrations in particular critical sites. The methodology has been applied to the monitoring network in the aquifer of Lucca Plain, Central Italy.

  9. Dynamic Optimization

    Science.gov (United States)

    Laird, Philip

    1992-01-01

    We distinguish static and dynamic optimization of programs: whereas static optimization modifies a program before runtime and is based only on its syntactical structure, dynamic optimization is based on the statistical properties of the input source and examples of program execution. Explanation-based generalization is a commonly used dynamic optimization method, but its effectiveness as a speedup-learning method is limited, in part because it fails to separate the learning process from the program transformation process. This paper describes a dynamic optimization technique called a learn-optimize cycle that first uses a learning element to uncover predictable patterns in the program execution and then uses an optimization algorithm to map these patterns into beneficial transformations. The technique has been used successfully for dynamic optimization of pure Prolog.

  10. Stochastic optimization

    CERN Document Server

    Schneider, Johannes J

    2007-01-01

    This book addresses stochastic optimization procedures in a broad manner. The first part offers an overview of relevant optimization philosophies; the second deals with benchmark problems in depth, by applying a selection of optimization procedures. Written primarily with scientists and students from the physical and engineering sciences in mind, this book addresses a larger community of all who wish to learn about stochastic optimization techniques and how to use them.

  11. Selective Optimization

    Science.gov (United States)

    2015-07-06

    consider a probabilistically-constrained portfolio optimization problem [16] to determine a minimum cost distribution of a unit investment among n assets...present a branching technique (Section 5). Through computational experiments on the probabilistic portfolio optimization problem (3) and an optimal ...at one. 15 DISTRIBUTION A: Distribution approved for public release. 6.2 Probabilistic Portfolio Optimization The first class of instances we test

  12. Optimal Composite Curing System

    Science.gov (United States)

    Handel, Paul; Guerin, Daniel

    The Optimal Composite Curing System (OCCS) is an intelligent control system which incorporates heat transfer and resin kinetic models coupled with expert knowledge. It controls the curing of epoxy impregnated composites, preventing part overheating while maintaining maximum cure heatup rate. This results in a significant reduction in total cure time over standard methods. The system uses a cure process model, operating in real-time, to determine optimal cure profiles for tool/part configurations of varying thermal characteristics. These profiles indicate the heating and cooling necessary to insure a complete cure of each part in the autoclave in the minimum amount of time. The system coordinates these profiles to determine an optimal cure profile for a batch of thermally variant parts. Using process specified rules for proper autoclave operation, OCCS automatically controls the cure process, implementing the prescribed cure while monitoring the operation of the autoclave equipment.

  13. Nonlinear optimization

    CERN Document Server

    Ruszczynski, Andrzej

    2011-01-01

    Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, principles, and methods within a reasonable time, but without sacrificing mathematical precision. Andrzej Ruszczynski, a leading expert in the optimization of nonlinear stochastic systems, integrates t

  14. Monitoring madness

    Energy Technology Data Exchange (ETDEWEB)

    Blankinship, S.

    2006-01-15

    High quality continuous emission monitoring capability can be as essential as high quality emission control equipment. Future mercury monitoring and control requirements add to the justification for better CEMS. The article discusses two prominent mercury measurement methods - the cold vapour atomic absorptive spectrometer (CVAAs) and the atomic absorptive spectrometer (AFS). It stresses the importance of maintaining a CEMS. 1 photo.

  15. Mobility Monitor

    DEFF Research Database (Denmark)

    Schæbel, Anne-Lise; Dybbro, Karina Løvendahl; Andersen, Lisbeth Støvring;

    2015-01-01

    Undersøgelse af digital monitorering af plejehjemsbeboeres vendinger under søvn på Fremtidens Plejehjem, Nørresundby......Undersøgelse af digital monitorering af plejehjemsbeboeres vendinger under søvn på Fremtidens Plejehjem, Nørresundby...

  16. Optimal semelparity.

    Directory of Open Access Journals (Sweden)

    James W Vaupel

    Full Text Available Semelparous organisms have a simple life cycle characterized by immediate death after reproduction. We assume that semelparous life histories can be separated into a juvenile non-reproductive period followed by an adult period during which reproduction is possible. We derive formulae for the optimal age and size at reproduction and for the optimal size of the offspring (e.g., seeds. Our main contribution is to determine the conditions under which the optimal size of the offspring does not depend on the optimal size at reproduction and vice versa.

  17. Website Optimization

    CERN Document Server

    King, Andrew

    2008-01-01

    Remember when an optimized website was one that merely didn't take all day to appear? Times have changed. Today, website optimization can spell the difference between enterprise success and failure, and it takes a lot more know-how to achieve success. This book is a comprehensive guide to the tips, techniques, secrets, standards, and methods of website optimization. From increasing site traffic to maximizing leads, from revving up responsiveness to increasing navigability, from prospect retention to closing more sales, the world of 21st century website optimization is explored, exemplified a

  18. Monitoring of the xrootd federations

    CERN Document Server

    CERN. Geneva

    2013-01-01

    Construction of the data federations and understanding the impact of the new approach to data management on user analysis requires complete and detailed monitoring. Monitoring functionality should cover the status of all components of the federated storage, measuring data traffic and data access performance, as well as being able to detect any kind of inefficiencies and to provide hints for resource optimization and effective data distribution policy. Data mining of the collected monito...

  19. Enviromental standards and costly monitoring

    OpenAIRE

    1999-01-01

    In this paper, we investigate the features of an optimal regulatory policy composed of pollution standards and probabilities of inspection to verify firms' behavior, where fines for noncompliance depend on the degree of violation. We find that the optimal policy can entail either compliance or noncompliance with the enviromental standards, the latter being more plausible when monitoring costs are high and, surprisingly, when fines for noncompliance are also high. In the event the planner has ...

  20. Medicinsk Optimering

    DEFF Research Database (Denmark)

    Birkholm, Klavs

    2010-01-01

    En undersøgelse af anvendelsen af medicin til optimering af koncentration, hukommelse og følelsestonus. Efterfulgt af etiske overvejelser og anbefalinger til det politiske system......En undersøgelse af anvendelsen af medicin til optimering af koncentration, hukommelse og følelsestonus. Efterfulgt af etiske overvejelser og anbefalinger til det politiske system...

  1. Topology Optimization

    DEFF Research Database (Denmark)

    A. Kristensen, Anders Schmidt; Damkilde, Lars

    2007-01-01

    . A way to solve the initial design problem namely finding a form can be solved by so-called topology optimization. The idea is to define a design region and an amount of material. The loads and supports are also fidefined, and the algorithm finds the optimal material distribution. The objective function...... dictates the form, and the designer can choose e.g. maximum stiness, maximum allowable stresses or maximum lowest eigenfrequency. The result of the topology optimization is a relatively coarse map of material layout. This design can be transferred to a CAD system and given the necessary geometrically...... refinements, and then remeshed and reanalysed in other to secure that the design requirements are met correctly. The output of standard topology optimization has seldom well-defined, sharp contours leaving the designer with a tedious interpretation, which often results in less optimal structures. In the paper...

  2. Dispositional Optimism

    Science.gov (United States)

    Carver, Charles S.; Scheier, Michael F.

    2014-01-01

    Optimism is a cognitive construct (expectancies regarding future outcomes) that also relates to motivation: optimistic people exert effort, whereas pessimistic people disengage from effort. Study of optimism began largely in health contexts, finding positive associations between optimism and markers of better psychological and physical health. Physical health effects likely occur through differences in both health-promoting behaviors and physiological concomitants of coping. Recently, the scientific study of optimism has extended to the realm of social relations: new evidence indicates that optimists have better social connections, partly because they work harder at them. In this review, we examine the myriad ways this trait can benefit an individual, and our current understanding of the biological basis of optimism. PMID:24630971

  3. Monarch Monitoring

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The US Fish and Wildlife Service has engaged in a multi-partnered, integrated strategy for monitoring conservation of the monarch butterfly (Danaus plexippus...

  4. Monitoring Hadoop

    CERN Document Server

    Singh, Gurmukh

    2015-01-01

    This book is useful for Hadoop administrators who need to learn how to monitor and diagnose their clusters. Also, the book will prove useful for new users of the technology, as the language used is simple and easy to grasp.

  5. Recombination monitor

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, S. Y. [Brookhaven National Lab. (BNL), Upton, NY (United States); Blaskiewicz, M. [Brookhaven National Lab. (BNL), Upton, NY (United States)

    2017-02-03

    This is a brief report on LEReC recombination monitor design considerations. The recombination produced Au78+ ion rate is reviewed. Based on this two designs are discussed. One is to use the large dispersion lattice. It is shown that even with the large separation of the Au78+ beam from the Au79+ beam, the continued monitoring of the recombination is not possible. Accumulation of Au78+ ions is needed, plus collimation of the Au79+ beam. In another design, it is shown that the recombination monitor can be built based on the proposed scheme with the nominal lattice. From machine operation point of view, this design is preferable. Finally, possible studies and the alternative strategies with the basic goal of the monitor are discussed.

  6. Gas House Autonomous System Monitoring

    Science.gov (United States)

    Miller, Luke; Edsall, Ashley

    2015-01-01

    Gas House Autonomous System Monitoring (GHASM) will employ Integrated System Health Monitoring (ISHM) of cryogenic fluids in the High Pressure Gas Facility at Stennis Space Center. The preliminary focus of development incorporates the passive monitoring and eventual commanding of the Nitrogen System. ISHM offers generic system awareness, adept at using concepts rather than specific error cases. As an enabler for autonomy, ISHM provides capabilities inclusive of anomaly detection, diagnosis, and abnormality prediction. Advancing ISHM and Autonomous Operation functional capabilities enhances quality of data, optimizes safety, improves cost effectiveness, and has direct benefits to a wide spectrum of aerospace applications.

  7. Bayesian Monitoring.

    OpenAIRE

    Kirstein, Roland

    2005-01-01

    This paper presents a modification of the inspection game: The ?Bayesian Monitoring? model rests on the assumption that judges are interested in enforcing compliant behavior and making correct decisions. They may base their judgements on an informative but imperfect signal which can be generated costlessly. In the original inspection game, monitoring is costly and generates a perfectly informative signal. While the inspection game has only one mixed strategy equilibrium, three Perfect Bayesia...

  8. Portfolio Optimization

    OpenAIRE

    Frajtova-Michalikova, Katarina; Spuchľakova, Erika; Misankova, Maria

    2015-01-01

    In this paper Portfolio Optimization techniques were used to determine the most favorable investment portfolio. In particular, stock indices of three companies, namely Microsoft Corporation, Christian Dior Fashion House and Shevron Corporation were evaluated. Using this data the amounts invested in each asset when a portfolio is chosen on the efficient frontier were calculated. In addition, the Portfolio with minimum variance, tangency portfolio and optimal Markowitz portfolio are presented.

  9. Monitoring in the Intensive Care

    Directory of Open Access Journals (Sweden)

    Eric Kipnis

    2012-01-01

    Full Text Available In critical care, the monitoring is essential to the daily care of ICU patients, as the optimization of patient’s hemodynamic, ventilation, temperature, nutrition, and metabolism is the key to improve patients' survival. Indeed, the decisive endpoint is the supply of oxygen to tissues according to their metabolic needs in order to fuel mitochondrial respiration and, therefore, life. In this sense, both oxygenation and perfusion must be monitored in the implementation of any resuscitation strategy. The emerging concept has been the enhancement of macrocirculation through sequential optimization of heart function and then judging the adequacy of perfusion/oxygenation on specific parameters in a strategy which was aptly coined “goal directed therapy.” On the other hand, the maintenance of normal temperature is critical and should be regularly monitored. Regarding respiratory monitoring of ventilated ICU patients, it includes serial assessment of gas exchange, of respiratory system mechanics, and of patients' readiness for liberation from invasive positive pressure ventilation. Also, the monitoring of nutritional and metabolic care should allow controlling nutrients delivery, adequation between energy needs and delivery, and blood glucose. The present paper will describe the physiological basis, interpretation of, and clinical use of the major endpoints of perfusion/oxygenation adequacy and of temperature, respiratory, nutritional, and metabolic monitorings.

  10. Monitoring managers through corporate compliance programs

    OpenAIRE

    Angelucci, C.; Han, M.A.

    2010-01-01

    Compliance programs entail monitoring of employees' behavior with the claimed objective of fighting corporate crime. (Competition) Authorities promote such intra-firm monitoring. In a three-tier hierarchy model, authority-shareholder-manager, we study the impact of monitoring through a compliance program on contracting within the firm and the authority's optimal sanctions and leniency policy. We find that compliance programs are beneficial in the fight against corporate crime if and only if t...

  11. Unconstrained Optimization

    DEFF Research Database (Denmark)

    Frandsen, P. E.; Jonasson, K.; Nielsen, Hans Bruun

    1999-01-01

    This lecture note is intended for use in the course 04212 Optimization and Data Fitting at the Technincal University of Denmark. It covers about 25% of the curriculum. Hopefully, the note may be useful also to interested persons not participating in that course. The aim of the note is to give...... an introduction to algorithms for unconstrained optimization. We present Conjugate Gradient, Damped Newton and Quasi Newton methods together with the relevant theoretical background. The reader is assumed to be familiar with algorithms for solving linear and nonlinear system of equations, at a level corresponding...

  12. Unconstrained Optimization

    DEFF Research Database (Denmark)

    Frandsen, P. E.; Jonasson, K.; Nielsen, Hans Bruun

    1999-01-01

    This lecture note is intended for use in the course 04212 Optimization and Data Fitting at the Technincal University of Denmark. It covers about 25% of the curriculum. Hopefully, the note may be useful also to interested persons not participating in that course. The aim of the note is to give...... an introduction to algorithms for unconstrained optimization. We present Conjugate Gradient, Damped Newton and Quasi Newton methods together with the relevant theoretical background. The reader is assumed to be familiar with algorithms for solving linear and nonlinear system of equations, at a level corresponding...

  13. 关河水库除险加固中大坝渗流监测系统的优化%Optimizing Dam Seepage Flow Monitoring System in Danger-removing and Consolidating Project of Guanhe Reservoir

    Institute of Scientific and Technical Information of China (English)

    张竞竞

    2012-01-01

    According to anti-thunderstroke capacity of seepage flow monitoring system , this system's lifespan , average failure-free operation time , construction management and investment condition , in combination with the ac-tual practice in danger-removing and consolidating project of Guanhe Reservoir , the comparison between wire moni-toring scheme and wireless monitoring scheme of dam seepage flow is carried out . The comparision result indicates that developing dam's wireless monitoring system is the general prevailing trend nowadays.%根据渗流监测系统抗雷击的能力、系统寿命和平均无故障时间、施工管理、投资等条件,结合关河水库工程的具体实际,对大坝渗流有线监测方案和无线监测方案进行比较,表明开发大坝无线监测系统已是大势所趋。

  14. Simulation of the crosshole ERT monitoring of the CO2 migration at the Research Laboratory on Geological Storage of CO2 in Hontomín (Burgos, Spain): assessing its feasibility and the optimal configuration

    Science.gov (United States)

    Vilamajó, Eloi; Bellmunt, Fabian; Queralt, Pilar; Marcuello, Álex; Ledo, Juanjo

    2013-04-01

    The Research Laboratory on Geological Storage of CO2 located in Hontomín (Burgos, Spain) is a multidisciplinary Technological Demonstration Plant oriented to test the geological storage of carbon dioxide in an onshore saline reservoir. Due to its academic orientation, it will provide a wide set of data obtained with complementary geophysical techniques. In order to allow the integration of the respective results, several geophysical methods will be used on the monitoring process of the storage of CO2 into a deep saline aquifer. The resistivity of the storage formation will be one of the geophysical properties most affected by the replacement of the conductive brine by resistive carbon dioxide. As the electrical and electromagnetic methods are the techniques most sensitive to such change, their use on the monitoring process of the Hontomín TDP will provide important insights on the migration of CO2. The current work is integrated in the electric and electromagnetic monitoring of the CO2 storage at Hontomín, where two boreholes (injection and monitoring) will be drilled beneath the injection depth. A set of electrodes is planned to be installed at the two wells allowing advantageous experiments in order to determine the resistivity variation into the reservoir. Crosshole ERT and CSEM experiments will be carried out previously to the injection of carbon dioxide and repeated systematically once the storage has started. The feasibility of the crosshole ERT monitoring is evaluated in the current work. Realistic pre-injection and post-injection experiments have been modeled to assess the potentiality and benefits of the crosshole ERT in order to monitor the stored CO2. A geoelectrical model obtained from previous characterization works has been used to describe the geoelectrical structure. The metallic casings planned to be installed at the two wells are considered in the simulations, given their possible effect on the experiments. Sets of synthetic data are generated

  15. Optimal transport

    CERN Document Server

    Eckmann, B

    2008-01-01

    At the close of the 1980s, the independent contributions of Yann Brenier, Mike Cullen and John Mather launched a revolution in the venerable field of optimal transport founded by G Monge in the 18th century, which has made breathtaking forays into various other domains of mathematics ever since. The author presents a broad overview of this area.

  16. Topology optimization

    DEFF Research Database (Denmark)

    Bendsøe, Martin P.; Sigmund, Ole

    2007-01-01

    Taking as a starting point a design case for a compliant mechanism (a force inverter), the fundamental elements of topology optimization are described. The basis for the developments is a FEM format for this design problem and emphasis is given to the parameterization of design as a raster image...

  17. Robust Constrained Blackbox Optimization with Surrogates

    Science.gov (United States)

    2015-05-21

    numbers assigned by the performing organization, e.g. BRL-1234; AFWL-TR-85-4017-Vol-21- PT -2. 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES...during reporting pe - riod: Published: 1. C. Audet, S. Le Digabel, and M. Peyrega. Linear equalities in blackbox optimization. Computational Optimization...A.E. Gheribi, S. Le Digabel, C. Audet, and P. Chartrand. Identifying optimal conditions for magnesium based alloy design using the mesh adaptive direct

  18. Collision Rate Monitors for LHC

    CERN Document Server

    Bravin, E; Burger, S; Byrd, J M; Chow, K; Dutriat, C; Jolliot, M; Lefèvre, T; Matis, H S; Monroy, M; Talanov, V; Turner, W C; Ratti, A; Renet, S

    2007-01-01

    Collision rate monitors are essential in bringing particle beams into collision and optimizing the performances of a collider. In the case of LHC the relative luminosity will be monitored by measuring the flux of small angle neutral particles produced in the collisions. Due to the very different luminosity levels at the four interaction regions (IR) of LHC two different types of monitors have been developed. At the high luminosity IR (ATLAS and CMS) fast ionization chambers will be installed while at the other two (ALICE and LHC-b) solid state polycrystalline Cadmium Telluride (CdTe) detectors will be used. The ionization chambers are being developed by LBNL while the CdTe monitors are being developed by CERN and CEA-LETI.

  19. Energy Monitoring

    DEFF Research Database (Denmark)

    Hansen, Claus T.; Madsen, Dines; Christiensen, Thomas

    Energy measurement has become an important aspect of our daily lives since we have learned that energy consumption, is one of the main source of global warming. Measuring instruments varies from a simple watt-meter to more sophisticated microprocessor control devices. The negative effects...... that fossil fuels induce on our environment has forced us to research renewable energy such as sunlight, wind etc. This new environmental awareness has also helped us to realize the importance of monitoring and controlling our energy use. The main purpose in this research is to introduce a more sophisticated...... but affordable way to monitor energy consumption of individuals or groups of home appliances. By knowing their consumption the utilization can be regulated for more efficient use. A prototype system has been constructed to demonstrate our idea....

  20. Energy Monitoring

    DEFF Research Database (Denmark)

    Hansen, Claus T.; Madsen, Dines; Christiensen, Thomas

    Energy measurement has become an important aspect of our daily lives since we have learned that energy consumption, is one of the main source of global warming. Measuring instruments varies from a simple watt-meter to more sophisticated microprocessor control devices. The negative effects...... that fossil fuels induce on our environment has forced us to research renewable energy such as sunlight, wind etc. This new environmental awareness has also helped us to realize the importance of monitoring and controlling our energy use. The main purpose in this research is to introduce a more sophisticated...... but affordable way to monitor energy consumption of individuals or groups of home appliances. By knowing their consumption the utilization can be regulated for more efficient use. A prototype system has been constructed to demonstrate our idea....

  1. Material monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Kotter, W.; Zirker, L.; Hancock, J.A.

    1995-11-01

    Waste Reduction Operations Complex (WROC) facilities are located at the Idaho National Engineering Laboratory (INEL). The overall goal for the Pollution Prevention/Waste Minimization Unit is to identify and establish the correct amount of waste generated so that it can be reduced. Quarterly, the INEL Pollution Prevention (P2) Unit compares the projected amount of waste generated per process with the actual amount generated. Examples of waste streams that would be addresses for our facility would include be are not limited to: Maintenance, Upgrades, Office and Scrap Metal. There are three potential sources of this variance: inaccurate identification of those who generate the waste; inaccurate identification of the process that generates the waste; and inaccurate measurement of the actual amount generated. The Materials Monitoring Program was proposed to identify the sources of variance and reduce the variance to an acceptable level. Prior to the implementation of the Material Monitoring Program, all information that was gathered and recorded was done so through an informal estimation of waste generated by various personnel concerned with each processes. Due to the inaccuracy of the prior information gathering system, the Material Monitoring Program was established. The heart of this program consists of two main parts. In the first part potential waste generators provide information on projected waste generation process. In the second part, Maintenance, Office, Scrap Metal and Facility Upgrade wastes from given processes is disposed within the appropriate bin dedicated to that process. The Material Monitoring Program allows for the more accurate gathering of information on the various waste types that are being generated quarterly.

  2. Optimization in mammography - monthly monitoring of image quality at the state of Minas Gerais, Brazil; Otimizacao em mamografia - monitoramento mensal da qualidade da imagem no estado de Minas Gerais, Brasil

    Energy Technology Data Exchange (ETDEWEB)

    Joana, Georgia S.; Andrade, Mauricio C. de; Silva, Sabrina D. da; Silva, Rafael R. da; Cesar, Adriana C.Z.; Oliveira, Mauricio de, E-mail: georgia.santos@saude.mg.gov.b, E-mail: mauricio.cavalcanti@saude.mg.gov.b, E-mail: adrianac@saude.mg.gov.b, E-mail: mauricio.oliveira@saude.mg.gov.b [Secretaria de Estado da Saude de Minas Gerais (SVS/SES-MG), Belo Horizonte, MG (Brazil). Superintendencia de Vigilancia Sanitaria; Oliveira, Marcio A.; Nogueira, Maria do S., E-mail: marcio.alves@saude.mg.gov.b, E-mail: mnogue@cdtn.b [Centro de Desenvolvimento da Tecnologia Nuclear (CDTN/CNEN-MG), Belo Horizonte, MG (Brazil); Peixoto, Joao E. [Instituto Nacional de Cancer (INCA), Rio de Janeiro, RJ (Brazil)

    2011-07-01

    The State Program of Quality Control in Mammography (PECQMamo) of the state of Minas Gerais was established in 2004 and consists of tests for evaluation of image quality and performance of equipment used in the diagnosis of breast cancer, and evaluation the infrastructure of mammography centers. The monthly monitoring of image quality in mammography is part of this program that has been executed since May 2009 with a character essentially educational. In the assessment of individual services that participate in the monthly monitoring, there was an increased percentage of average annual compliance from 2009 to 2010 in all 85 services with the exception of one service. Therefore, evolution of the performance of the services evaluated, since the program began, shows a positive impact on the numbers, confirming the relevance of this type of operation of Sanitary Surveillance in the area of quality in mammography. (author)

  3. 计算机监控系统上位机系统改造方案的优化与实施%Optimization and implementation of the reconstruction plan of to the host computer in computer monitoring system

    Institute of Scientific and Technical Information of China (English)

    俞立军

    2012-01-01

    The computer monitoring system reconstruction in Dongfeng power plant is the precedent of the computer monitoring system in hydropower plant of Guizhou province. Due to the reconstruction of the control component, the new system and the old system are in the parallel operation. The reconstruction plan, concrete reconstruction step and effects after reconstruction has been narrated.%东风发电厂计算机监控系统改造是贵州省水电厂计算机监控新老系统改造的先例,由于现地控制单元改造在后,新系统与老系统在一定时期内并列运行,叙述的改造方案及具体实施改造的步骤和改造后的效果。

  4. Putting combustion optimization to work

    Energy Technology Data Exchange (ETDEWEB)

    Spring, N.

    2009-05-15

    New plants and plants that are retrofitting can benefit from combustion optimization. Boiler tuning and optimization can complement each other. The continuous emissions monitoring system CEMS, and tunable diode laser absorption spectroscopy TDLAS can be used for optimisation. NeuCO's CombustionOpt neural network software can determine optimal fuel and air set points. Babcock and Wilcox Power Generation Group Inc's Flame Doctor can be used in conjunction with other systems to diagnose and correct coal-fired burner performance. The four units of the Colstrip power plant in Colstrips, Montana were recently fitted with combustion optimization systems based on advanced model predictive multi variable controls (MPCs), ABB's Predict & Control tool. Unit 4 of Tampa Electric's Big Bend plant in Florida is fitted with Emerson's SmartProcess fuzzy neural model based combustion optimisation system. 1 photo.

  5. Monitoring the oleuropein content of olive leaves and fruits using ultrasound- and salt-assisted liquid-liquid extraction optimized by response surface methodology and high-performance liquid chromatography.

    Science.gov (United States)

    Ismaili, Ahmad; Heydari, Rouhollah; Rezaeepour, Reza

    2016-01-01

    A novel and rapid ultrasound- and salt-assisted liquid-liquid extraction coupled with high-performance liquid chromatography has been optimized by response surface methodology for the determination of oleuropein from olive leaves. Box-Behnken design was used for optimizing the main parameters including ultrasound time (A), pH (B), salt concentration (C), and volume of miscible organic solvent (D). In this technique, a mixture of plant sample and extraction solvent was subjected to ultrasound waves. After ultrasound-assisted extraction, phase separation was performed by the addition of salt to the liquid phase. The optimal conditions for the highest extraction yield of oleuropein were ultrasound time, 30 min; volume of organic solvent, 2.5 mL; salt concentration, 25% w/v; and sample pH, 4. Experimental data were fitted with a quadratic model. Analysis of variance results show that BC interaction, A(2) , B(2) , C(2) , and D(2) are significant model terms. Unlike the conventional extraction methods for plant extracts, no evaporation and reconstitution operations were needed in the proposed technique.

  6. Optimal control

    CERN Document Server

    Aschepkov, Leonid T; Kim, Taekyun; Agarwal, Ravi P

    2016-01-01

    This book is based on lectures from a one-year course at the Far Eastern Federal University (Vladivostok, Russia) as well as on workshops on optimal control offered to students at various mathematical departments at the university level. The main themes of the theory of linear and nonlinear systems are considered, including the basic problem of establishing the necessary and sufficient conditions of optimal processes. In the first part of the course, the theory of linear control systems is constructed on the basis of the separation theorem and the concept of a reachability set. The authors prove the closure of a reachability set in the class of piecewise continuous controls, and the problems of controllability, observability, identification, performance and terminal control are also considered. The second part of the course is devoted to nonlinear control systems. Using the method of variations and the Lagrange multipliers rule of nonlinear problems, the authors prove the Pontryagin maximum principle for prob...

  7. Distributed optimality

    OpenAIRE

    Trommer, Jochen

    2005-01-01

    In dieser Dissertation schlage ich eine Synthese (Distributed Optimality, DO) von Optimalitätstheorie und einem derivationellen, morphologischem Asatz, Distributed Morphology (DM; Halle & Marantz, 1993) vor. Durch die Integration von OT in DM wird es möglich, Phänomene, die in DM durch sprachspezifische Regeln oder Merkmale von lexikalischen Einträge erfasst werden, auf die Interaktion von verletzbaren, universellen Constraints zurückzuführen. Andererseits leistet auch DM zwei substantielle B...

  8. Optimal learning

    CERN Document Server

    Powell, Warren B

    2012-01-01

    Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business. This book covers the

  9. Optimization Problems

    Directory of Open Access Journals (Sweden)

    Yaping Hu

    2015-01-01

    the nonsmooth convex optimization problem. First, by using Moreau-Yosida regularization, we convert the original objective function to a continuously differentiable function; then we use approximate function and gradient values of the Moreau-Yosida regularization to substitute the corresponding exact values in the algorithm. The global convergence is proved under suitable assumptions. Numerical experiments are presented to show the effectiveness of this algorithm.

  10. Technology monitoring; Technologie-Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Eicher, H.; Rigassi, R. [Eicher und Pauli AG, Liestal (Switzerland); Ott, W. [Econcept AG, Zuerich (Switzerland)

    2003-07-01

    This study made for the Swiss Federal Office of Energy (SFOE) examines ways of systematically monitoring energy technology development and the cost of such technologies in order to pave the way to a basis for judging the economic development of new energy technologies. Initial results of a survey of the past development of these technologies are presented and estimates are made of future developments in the areas of motor-based combined heat and power systems, fuel-cell heating units for single-family homes and apartment buildings, air/water heat pumps for new housing projects and high-performance thermal insulation. The methodology used for the monitoring and analysis of the various technologies is described. Tables and diagrams illustrate the present situation and development potential of various fields of technology.

  11. Luminosity monitor studies for TESLA

    Energy Technology Data Exchange (ETDEWEB)

    Napoly, O. [CEA Saclay, 91 - Gif-sur-Yvette (France). Dept. d`Astrophysique, de la Physique des Particules, de la Physique Nucleaire et de l`Instrumentation Associee; Schulte, D. [European Organization for Nuclear Research CERN, Geneva (Switzerland)

    1997-11-01

    The feasibility of a luminosity monitor based on a radiative Bhabha detector is investigated n the context of the TESLA linear collider. Another option based on low energy e{sup +}e{sup -} pair calorimetry is also discussed. In order to monitor the beam parameters at the interaction point by optimizing the luminosity, these detectors should be able to provide a relative measurement of the luminosity with a resolution better that 1% using a fraction of the TESLA bunch train. (author) 8 refs.

  12. The Distributed Network Monitoring Model with Bounded Delay Constraints

    Institute of Scientific and Technical Information of China (English)

    LIU Xiang-hui; YIN Jian-ping; LU Xi-cheng; CAI Zhi-ping; ZHAO Jian-min

    2004-01-01

    We address the problem of optimizing a distributed monitoring system and the goal of the optimization is to reduce the cost of deployment of the monitoring infrastructure by identifying a minimum aggregating set subject to delay constraint on the aggregating path. We show that this problem is NP-hard and propose approximation algorithm proving the approximation ratio with ln m+1, where is the number of monitoring nodes. At last we extend our modal with more constraint of bounded delay variation.

  13. Monitoring microcirculation.

    Science.gov (United States)

    Ocak, Işık; Kara, Atila; Ince, Can

    2016-12-01

    The clinical relevance of microcirculation and its bedside observation started gaining importance in the 1990s since the introduction of hand-held video microscopes. From then, this technology has been continuously developed, and its clinical relevance has been established in more than 400 studies. In this paper, we review the different types of video microscopes, their application techniques, the microcirculation of different organ systems, the analysis methods, and the software and scoring systems. The main focus of this review will be on the state-of-art technique, CytoCam-incident dark-field imaging, and the most recent technological and technical updates concerning microcirculation monitoring.

  14. Analysis of polymer molecules including reaction monitoring and control

    NARCIS (Netherlands)

    Schoenmakers, P.; van Herk, A.M.

    2013-01-01

    To monitor, control, and optimize emulsion polymerisations, there is a need to perform a variety of different measurements. The monomer conversion is a key parameter to monitor and control the reaction. A rapid response is required for real-time reaction monitoring. This chapter considers on-line an

  15. Cardiac event monitors

    Science.gov (United States)

    ... ECG) - ambulatory; Continuous electrocardiograms (EKGs); Holter monitors; Transtelephonic event monitors ... attached. You can carry or wear a cardiac event monitor up to 30 days. You carry the ...

  16. Optimal time-points for minimal residual disease monitoring change on the basis of the method used in patients with acute myeloid leukemia who underwent allogeneic stem cell transplantation: a comparison between multiparameter flow cytometry and Wilms' tumor 1 expression.

    Science.gov (United States)

    Rossi, Giovanni; Carella, Angelo Michele; Minervini, Maria Marta; di Nardo, Francesco; Waure, Chiara de; Greco, Michele Mario; Merla, Emanuela; Cillis, Giovanni Pio de; Di Renzo, Nicola; Melpignano, Angela; Capalbo, Silvana; Palumbo, Gaetano; Pisapia, Giovanni; Cascavilla, Nicola

    2015-02-01

    Minimal residual disease (MRD) of 30 adult AML patients was monitored by multiparameter flow cytometry (MFC) and WT1 expression before and after allogeneic stem cell transplantation (allo-SCT). Diagnostic performance of pre-transplant MRD measured by MFC was higher than that obtained by WT1 expression. Comparable results were displayed at day +30 post-transplant, while better values by WT1 compared to MFC were found at day +90. Positive MRD by MFC predicted a shorter disease free survival (DFS) before and 1 month after transplant (p=0.006 and p=0.005), while only high WT1 levels at 1 month from the transplant significantly impacted on DFS (p=0.010). Our results support the idea that MRD monitoring by MFC should be suggested before and 30 days after the transplant, while WT1 expression should be preferred after this procedure. The assessment of MRD at day +30 from allo-SCT is recommended as post transplant check-point for the predictive role displayed, independently of the method used.

  17. Particle size distribution and total solids suspension in samples monitoring of capturing water for optimization of water injection filtration system; Monitoramento da quantidade de particulas e do total de solidos em suspensao em amostras de agua de captacao

    Energy Technology Data Exchange (ETDEWEB)

    Ramalhao, Adriano Gorga; Seno, Carlos Eduardo; Ribeiro, Alice [3M do Brasil, Sumare, SP (Brazil)

    2008-07-01

    There is a wide variation in the amount of particulate material in sea water by a great number of reasons. The most well-known contaminant is the organic material derived from seaweed or fish spawning causing seasonally sensitive variations in the water quality treated and injected for enhance oil recovery. This paper presents the results of one year the water monitoring form water sampled at 30 meters deep in the Roncador field, which is located 125 km from the coast with a depth of 1290 meters. It was observed the water seasonal variation with peaks in summer and winter. The monitoring was done through particle counting and distribution analysis and total solids in suspension. It was noted that even in peak with largest amount of particles and greater quantity of solid in suspension the particles had remained concentrated in the range bellow 25 {mu}m. For that reason the life of final filter elements may vary and pre-filters are many times ineffective and sometimes even bypassed due to frequent clogging and not to do the protecting job of the final filter. (author)

  18. Discrete optimization

    CERN Document Server

    Parker, R Gary

    1988-01-01

    This book treats the fundamental issues and algorithmic strategies emerging as the core of the discipline of discrete optimization in a comprehensive and rigorous fashion. Following an introductory chapter on computational complexity, the basic algorithmic results for the two major models of polynomial algorithms are introduced--models using matroids and linear programming. Further chapters treat the major non-polynomial algorithms: branch-and-bound and cutting planes. The text concludes with a chapter on heuristic algorithms.Several appendixes are included which review the fundamental ideas o

  19. Combinatorial Optimization

    CERN Document Server

    Chvátal, V

    2011-01-01

    This book is a collection of six articles arising from the meeting of the NATO Advanced Study Institute (ASI) "Combinatorial Optimization: Methods and Applications," which was held at the University of Montreal in June 2006. This ASI consisted of seven series of five one-hour lectures and one series of four one-hour lectures. It was attended by some sixty students of graduate or postdoctoral level from fifteen countries worldwide. It includes topics such as: integer and mixed integer programming, facility location, branching on split disjunctions, convexity in combinatorial optimizat

  20. Aircraft Trajectory Optimization Using Parametric Optimization Theory

    OpenAIRE

    Valenzuela Romero, Alfonso

    2012-01-01

    In this thesis, a study of the optimization of aircraft trajectories using parametric optimization theory is presented. To that end, an approach based on the use of predefined trajectory patterns and parametric optimization is proposed. The trajectory pat

  1. Monitoring Leverage

    DEFF Research Database (Denmark)

    Geanakoplos, John; Heje Pedersen, Lasse

    2014-01-01

    We argue that leverage is a central element of economic cycles and discuss how leverage can be properly monitored. While traditionally the interest rate has been regarded as the single key feature of a loan, we contend that the size of the loan, i.e., the leverage, is in fact a more important...... measure of systemic risk. Indeed, systemic crises tend to erupt when highly leveraged economic agents are forced to deleverage, sending the economy into recession. We emphasize the importance of measuring both the average leverage on old loans (which captures the economy's vulnerability) and the leverage...... offered on new loans (which captures current credit conditions) since the economy enters a crisis when leverage on new loans is low and leverage on old loans is high. While leverage plays an important role in several economic models, the data on leverage is model-free and simply needs to be collected...

  2. Treaty Monitoring

    DEFF Research Database (Denmark)

    Canty, M.; Lingenfelder, I.; Nielsen, Allan Aasbjerg;

    2009-01-01

    This volume provides the reader with an overview of the state-of-the-art Earth Observation (EO) related research that deals with national and international security. An interdisciplinary approach was adopted in this book in order to provide the reader with a broad understanding on the uses...... of remote sensing technologies. The book therefore comprises management aspects (issues and priorities of security research, crisis response), applied methodologies and process chains (treaty monitoring, estimation of population densities and characteristics, border permeability models, damage assessment......, as well as project managers and decision makers working in the field of security having an interest in technical solutions. The integrative use of many figures and sample images are ideal in enabling the non-technical reader to grasp quickly the modern technologies that are being researched in the area...

  3. Intracranial pressure monitoring

    Science.gov (United States)

    ICP monitoring; CSF pressure monitoring ... There are 3 ways to monitor pressure in the skull (intracranial pressure). INTRAVENTRICULAR CATHETER The intraventricular catheter is the most accurate monitoring method. To insert an intraventricular catheter, a ...

  4. Optimal Selection of Core Temperature Monitoring Methods in Heat Treatment of Wood Package Materials%木质包装热处理中心温度监测方法的优选

    Institute of Scientific and Technical Information of China (English)

    吴剑光; 陈捷先; 刘晓莹

    2015-01-01

    通过对不同的木材中心温度测定方法的分析,以及进行木材中心温度直接测定法和简单确定方法的比较试验,为木质包装标识加施企业的热处理工作,提供简便、有效的中心温度监测方法。%The different determination methods of wood core temperature were analyzed, and the direct and the simple determination methods were compared, so as to provide an effective and easy core temperature monitoring method for heat treatment of wood package material labeling enterprises.

  5. Monitoring simultaneous photocatalytic-ozonation of mixture of pharmaceuticals in the presence of immobilized TiO2 nanoparticles using MCR-ALS: Identification of intermediates and multi-response optimization approach.

    Science.gov (United States)

    Fathinia, Mehrangiz; Khataee, Alireza; Naseri, Abdolhosein; Aber, Soheil

    2015-02-05

    The present study has focused on the degradation of a mixture of three pharmaceuticals, i.e. methyldopa (MDP), nalidixic acid (NAD) and famotidine (FAM) which were quantified simultaneously during photocatalytic-ozonation process. The experiments were conducted in a semi-batch reactor where TiO2 nanoparticles (crystallites mean size 8nm) were immobilized on ceramic plates irradiated by UV-A light in the proximity of oxygen and/or ozone. The surface morphology and roughness of the bare and TiO2-coated ceramic plates were analyzed using scanning electron microscopy (SEM) and atomic force microscopy (AFM). An analytical methodology was successfully developed based on both recording ultraviolet-visible (UV-Vis) spectra during the degradation process and a data analysis using multivariate curve resolution with alternating least squares (MCR-ALS). This methodology enabled the researchers to obtain the concentration and spectral profiles of the chemical compounds which were involved in the process. A central composite design was used to study the effect of several factors on multiple responses namely MDP removal (Y1), NAD removal (Y2) and FAM removal (Y3) in the simultaneous photocatalytic-ozonation of these pharmaceuticals. A multi-response optimization procedure based on global desirability of the factors was used to simultaneously maximize Y1, Y2 and Y3. The results of the global desirability revealed that 8mg/L MAD, 8mg/L NAD, 8mg/L FAM, 6L/h ozone flow rate and a 30min-reaction time were the best conditions under which the optimized values of various responses were Y1=95.03%, Y2=84.93% and Y3=99.15%. Also, the intermediate products of pharmaceuticals generated in the photocatalytic-ozonation process were identified by gas chromatography coupled to mass spectrometry.

  6. Monitoring simultaneous photocatalytic-ozonation of mixture of pharmaceuticals in the presence of immobilized TiO2 nanoparticles using MCR-ALS: Identification of intermediates and multi-response optimization approach

    Science.gov (United States)

    Fathinia, Mehrangiz; Khataee, Alireza; Naseri, Abdolhosein; Aber, Soheil

    2015-02-01

    The present study has focused on the degradation of a mixture of three pharmaceuticals, i.e. methyldopa (MDP), nalidixic acid (NAD) and famotidine (FAM) which were quantified simultaneously during photocatalytic-ozonation process. The experiments were conducted in a semi-batch reactor where TiO2 nanoparticles (crystallites mean size 8 nm) were immobilized on ceramic plates irradiated by UV-A light in the proximity of oxygen and/or ozone. The surface morphology and roughness of the bare and TiO2-coated ceramic plates were analyzed using scanning electron microscopy (SEM) and atomic force microscopy (AFM). An analytical methodology was successfully developed based on both recording ultraviolet-visible (UV-Vis) spectra during the degradation process and a data analysis using multivariate curve resolution with alternating least squares (MCR-ALS). This methodology enabled the researchers to obtain the concentration and spectral profiles of the chemical compounds which were involved in the process. A central composite design was used to study the effect of several factors on multiple responses namely MDP removal (Y1), NAD removal (Y2) and FAM removal (Y3) in the simultaneous photocatalytic-ozonation of these pharmaceuticals. A multi-response optimization procedure based on global desirability of the factors was used to simultaneously maximize Y1, Y2 and Y3. The results of the global desirability revealed that 8 mg/L MAD, 8 mg/L NAD, 8 mg/L FAM, 6 L/h ozone flow rate and a 30 min-reaction time were the best conditions under which the optimized values of various responses were Y1 = 95.03%, Y2 = 84.93% and Y3 = 99.15%. Also, the intermediate products of pharmaceuticals generated in the photocatalytic-ozonation process were identified by gas chromatography coupled to mass spectrometry.

  7. Monitoring teamwork: a narrative review.

    Science.gov (United States)

    Rutherford, J S

    2017-01-01

    A narrative review was carried out to identify articles on monitoring of teamwork, with particular relevance to anaesthetists. The papers reviewed showed that team monitoring takes place both implicitly and explicitly in the anaesthetic environment. No single optimal model of teamwork monitoring for all situations was identified. Most of the studies identified were of a pre-intervention, post-intervention design, without randomisation or control group. Information shared during a formal briefing is more likely to be recalled, and provides a basis for a shared team mental model. A number of studies appeared to show that targeted teamwork training has a positive impact on both teamwork and patient safety. © 2017 The Association of Anaesthetists of Great Britain and Ireland.

  8. Optimal produktion

    Directory of Open Access Journals (Sweden)

    Öje Danell

    1999-04-01

    Full Text Available Optimal Production in Reindeer Husbandry.There are three ways to optimize the reindeer herd: 1 Adjusting the reindeer number to pasture resources. 2 Keeping as many productive animals in the herd as possible through slaughter. 3 Increasing the herd quality through selection.Renhjorden bör optimeras så att den fungerar som en "skördeapparat" for bete och lämnar största möjliga bidrag till försörjningen för dem som lever av renskötsel. Det finns minst tre sätt att optimera renhjorden, nämligen (1 anpassning av djurantalet till betesresurserna så att djurens kondition och därmed produktiviteten kan bibehållas på hög nivå, (2 utforma renhjordens struktur med hjalp av slaktuttaget så att den innehåller så stor andel produktiva djur som möjligt, och (3 förbättra djurmaterialets produktionsmässiga kvalitet genom urval baserat på registrerad produktion. Betesanpassningen är den mest grundläggande åtgärden och ger den snabbaste effekten. Även hjordstrukturering är en åtgärd som ger relativt snabb effekt och som dessutom kan beslutas och utforas av den enskilde djuraägaren utan att störa den kollektiva renskötseln. Urval är en åtgärd som ger effekt först på längre sikt och därför kräver en konsekvent insats under en längre tid.

  9. Bispectral Index Monitor

    Science.gov (United States)

    2004-01-01

    after general anesthesia by optimizing drug delivery to each patient. Awareness is a rare complication in general anesthesia. The risk of intraoperative awareness varies among countries, depending on their anesthetic practices. In the United States, the incidence of intraoperative awareness is 0.1% to 0.2% of patients undergoing general anesthesia. The incidence of intraoperative awareness depends on the type of surgery. Trauma patients have reported the highest incidence of intraoperative awareness (11%–43%) followed by patients undergoing cardiac surgery (1.14%) and patients undergoing Cesarean section (0.9%). The BIS monitor, licensed by Health Canada, is the first quantitative EEG index used in clinical practice as a monitor to assess the depth of anesthesia. It consists of a sensor, a digital signal converter, and a monitor. The sensor is placed on the patient’s forehead to pick up the electrical signals from the cerebral cortex and transfer them to the digital signal converter. A BIS score quantifies changes in the electrophysiologic state of the brain during anesthesia. In patients who are awake, a typical BIS score is 90 to 100. Complete suppression of cortical activity results in a BIS score of 0, known as a flat line. Lower numbers indicate a higher hypnotic effect. Overall, a BIS value below 60 is associated with a low probability of response to commands. There are several alternative technologies to quantify the depth of anesthesia, but only the BIS and SNAP monitors are licensed in Canada. The list price of the BIS monitor is $13,500 (Cdn). The sensors cost $773 (Cdn) for a box of 25. Because intraoperative awareness and recall happen rarely, only 1 randomized controlled trial of all the studies reviewed, was adequately powered to show the impact of BIS monitoring. This was a large prospective, randomized, double-blinded, multicentre study that was designed to investigate if BIS-guided anesthesia reduces the incidence of intraoperative awareness. The

  10. [SIAM conference on optimization

    Energy Technology Data Exchange (ETDEWEB)

    1992-05-10

    Abstracts are presented of 63 papers on the following topics: large-scale optimization, interior-point methods, algorithms for optimization, problems in control, network optimization methods, and parallel algorithms for optimization problems.

  11. Contamination monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Alamares, A.L. [Philippine Nuclear Research Inst., Diliman, Quezon City (Philippines)

    1997-06-01

    By virture of Republic Act 2067, as amended the Philippine Atomic Energy Commission (PAEC), now renamed Philippine Nuclear Research Institute (PNRI) is the government agency charged with the regulations and control of radioactive materials in the Philippines. The protection against the hazards of non-ionizing radiation is being monitored by the Radiological Health Service (RHS) of the Department of Health pursuant to the provision of Presidental Decree 480. The RHS issues licenses for possession, handling, and use of x-ray machines and equipment, both industrial and medical, and provide radiation protection training to x-ray technologists and technicians. As part of its regulatory function, the PNRI is charged with the responsibility of assuring that the radiation workers and the public are protected from the hazards associated with the possession, handling, production, manufacturing, and the use of radioactive materials and atomic energy facilities in the Philippines. The protection of radiation workers from the hazards of ionizing radiation has always been a primary concern of PNRI and by limiting the exposure of radiation workers, the risk to population is kept to within acceptable level. In this paper, the following items are described: radiation protection program, radiation protection services, radiation control, and problems encountered/recommendation. (G.K.)

  12. 兔胸部微波照射中的温度监测与照射方式优化%Temperature monitoring and model optimization of rabbit chest extracorporeal microwave irradiation

    Institute of Scientific and Technical Information of China (English)

    张正平; 张殿忠; 裘秀春; 文艳华; 刘云燕; 范清宇

    2008-01-01

    Objective To clarify the temperature curve of the irradiation target area,its adjacent tissue and the whole body during extracorpereal microwave irradiation, then to compare and optimize different irradiation models. Methods Different parts of the chest of adult New Zealand white rabbit were irradiated using different extracorporeal microwave irradiation models. The temperature of the irradiated skin, the subcutaneous and deep parts, the adjacent tissues and the anus was measured. The experiment was bi-factor and multi-level designed according to the repeatedly measured data and the rabbits was divided into group a,b,c and d. Results The increase rate of the surface temperature in the dorsal lung was similar between group d and group b1(F=10.04,P0.05);腹侧肺表面温度升高较慢,10 min后该部位所测温度平均值低于b1组(F=10.04,P<0.01);而肛温升高较快,10 min后该部位所测温度平均值高于b1组(F=7.04,P<0.01)结论多发射源阵列照射方式可安全地获得满意照射深度及合适治疗温度,在良好控制下微波照射是理想热疗手段.

  13. Beam Loss Monitors at the ESRF

    CERN Document Server

    Joly, B; Naylor, G A

    2000-01-01

    The European Synchrotron radiation facility is a third generation x-ray source providing x-rays on a continuous basis. As a facility available to external users, the monitoring of radiation caused by the loss of high-energy stored beam is of great concern. A network of beam loss monitors has been installed inside the storage ring tunnel so as to detect and localize the slow loss of electrons during a beam decay. This diagnostic tool allows optimization of beam parameters and physical aperture limits as well as giving useful information on the machine to allow the lifetime to be optimized and defects localized.

  14. 大庆油田西部地区地下水动态监测网优化设计%Optimal design of groundwater monitoring network in west Daqing oil field

    Institute of Scientific and Technical Information of China (English)

    秦延军; 宋雷鸣; 刘梅侠; 刘金和

    2001-01-01

    大庆油田地下水动态监测网(用水文地质定性方法建立)历经30多年的开采,需要进行定量优化设计。本次研究采用卡尔曼滤波技术与地下水流系统确定-随机性数值模型相耦合的方法,首先对现有监测网进行质量评价,计算结果表明:监测网在漏斗区(地下水集中开采区)应增加监测孔的数目,调整监测孔的位置。为此,我们拟订了6套12个备选方案,从中选取了由88个监测孔组成的监测网,此监测网无论从监测目标上还是经费上都是最优的。%The groundwater regime observation network of Daqing,qualitatively estabilished by way of Hydro-geologic approach,required a quantitative optimal design after having been operated for over thirty years. By means of combining kalman filter algorithm and deterministic-stochastic numerical model of the groundwater flow system,the reserch estimates the quality of the existing groundwater regime observation network. The calculation vesults indicate that the numbers of observation wells should be increased in the cone region of groundwater level deproession and the positions of the observation wells should be adjusted. For this purpose, we design six different sets of plans (twelve individual ones)and select among them one plan in which the observation network is made up of eighty-eight observation wells.

  15. Genetic association studies of performance monitoring and learning from feedback: The role of dopamine and serotonin

    NARCIS (Netherlands)

    Ullsperger, M.

    2010-01-01

    Performance monitoring is essential for optimization of action outcomes. Research consistently implicates the posterior medial frontal cortex, particularly the rostral cingulate zone, in monitoring for unfavorable action outcomes, signaling the need for adjustments and learning from feedback.

  16. Monitoring the production of FRP composites: A review of in-line sensing methods

    National Research Council Canada - National Science Library

    Konstantopoulos, S; Fauster, E; Schledjewski, R

    2014-01-01

    .... Monitoring the running process (in-line monitoring) eliminates the need for prediction; real time data provided by appropriate sensing systems can be used in the direction of process optimization, quality upgrade or material characterization...

  17. On the value of structural health monitoring

    DEFF Research Database (Denmark)

    Faber, Michael Havbro; Thöns, Sebastian

    2014-01-01

    Health monitoring has, over the last 2-3 decades, become a topic of significant interest within the structural engineering research community, but also in the broader areas of civil and mechanical engineering. Whereas the merits of Structural Health Monitoring (SHM) are generally appreciated in q...... of SHM an example is provided. The example addresses the life-cycle benefit maximization for offshore jacket structures subject to fatigue crack growth utilizing monitoring of near field fatigue stresses as a means of optimizing risk based inspection and maintenance strategies....

  18. Holter and Event Monitors

    Science.gov (United States)

    ... Share this page from the NHLBI on Twitter. Holter and Event Monitors Also known as ambulatory EKG; continuous EKG; EKG event monitors. Holter and event monitors are small, portable electrocardiogram devices ...

  19. Multiple Satellite Trajectory Optimization

    Science.gov (United States)

    2004-12-01

    SOLVING OPTIMAL CONTROL PROBLEMS ........................................5...OPTIMIZATION A. SOLVING OPTIMAL CONTROL PROBLEMS The driving principle used to solve optimal control problems was first formalized by the Soviet...methods and processes of solving optimal control problems , this section will demonstrate how the formulations work as expected. Once coded, the

  20. Antenna optimization using Particle Swarm Optimization algorithm

    Directory of Open Access Journals (Sweden)

    Golubović Ružica M.

    2006-01-01

    Full Text Available We present the results for two different antenna optimization problems that are found using the Particle Swarm Optimization (PSO algorithm. The first problem is finding the maximal forward gain of a Yagi antenna. The second problem is finding the optimal feeding of a broadside antenna array. The optimization problems have 6 and 20 optimization variables, respectively. The preferred values of the parameters of the PSO algorithm are found for presented problems. The results show that the preferred parameters of PSO are somewhat different for optimization problems with different number of dimensions of the optimization space. The results that are found using the PSO algorithm are compared with the results that are found using other optimization algorithms, in order to estimate the efficiency of the PSO.

  1. Overall control and monitoring systems for pumped storage plants

    Energy Technology Data Exchange (ETDEWEB)

    Stepinski, B.; Cvetko, H.

    1982-06-01

    The article describes control and monitoring concepts in which the delegation of responsibility is becoming more decisive than ever (automation hierarchy), and which are capable of optimized, automatic control of process events in pumped storage plants. 8 refs.

  2. Monitoring Knowledge Base (MKB)

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Monitoring Knowledge Base (MKB) is a compilation of emissions measurement and monitoring techniques associated with air pollution control devices, industrial...

  3. Price versus value of marine monitoring

    Directory of Open Access Journals (Sweden)

    Henrik Nygård

    2016-10-01

    Full Text Available Monitoring data facilitate the basic understanding of changes taking place in nature and provide information for making management decisions, but environmental monitoring is often considered expensive. Here, we apply the concept of value of information to evaluate the value of marine monitoring in the EU Marine Strategy Framework Directive context. We estimated the costs of the Finnish marine monitoring program and used the costs and economic benefits estimates of the Finnish marine strategy to assess the value of environmental monitoring. The numbers were applied to scenarios with different levels of information available prior to management decision-making. Monitoring costs were related to the value of perfect information prior to the management decision, assuming that managers will choose the management option that maximizes the benefits. The underlying assumptions of the conceptual model are that more accurate information about the status facilitates the selection of an optimal set of measures to achieve the environmental objectives and the related welfare gains from the improved environmental status. Our results emphasize the fact that monitoring is an essential part of effective marine management. Importantly, our study show that the value of marine monitoring data is an order of magnitude greater than the resources currently spent on monitoring and that an improved knowledge base can facilitate the planning of more cost-effective measures.

  4. Integrated modeling of ozonation for optimization of drinking water treatment

    NARCIS (Netherlands)

    van der Helm, A.W.C.

    2007-01-01

    Drinking water treatment plants automation becomes more sophisticated, more on-line monitoring systems become available and integration of modeling environments with control systems becomes easier. This gives possibilities for model-based optimization. In operation of drinking water treatment

  5. Improvement of personalized Monte Carlo-aided direct internal contamination monitoring: optimization of calculation times and measurement methodology for the establishment of activity distribution; Amelioration des mesures anthroporadiametriques personnalisees assistees par calcul Monte Carlo: optimisation des temps de calculs et methodologie de mesure pour l'etablissement de la repartition d'activite

    Energy Technology Data Exchange (ETDEWEB)

    Farah, Jad

    2011-10-06

    To optimize the monitoring of female workers using in vivo spectrometry measurements, it is necessary to correct the typical calibration coefficients obtained with the Livermore male physical phantom. To do so, numerical calibrations based on the use of Monte Carlo simulations combined with anthropomorphic 3D phantoms were used. Such computational calibrations require on the one hand the development of representative female phantoms of different size and morphologies and on the other hand rapid and reliable Monte Carlo calculations. A library of female torso models was hence developed by fitting the weight of internal organs and breasts according to the body height and to relevant plastic surgery recommendations. This library was next used to realize a numerical calibration of the AREVA NC La Hague in vivo counting installation. Moreover, the morphology-induced counting efficiency variations with energy were put into equation and recommendations were given to correct the typical calibration coefficients for any monitored female worker as a function of body height and breast size. Meanwhile, variance reduction techniques and geometry simplification operations were considered to accelerate simulations. Furthermore, to determine the activity mapping in the case of complex contaminations, a method that combines Monte Carlo simulations with in vivo measurements was developed. This method consists of realizing several spectrometry measurements with different detector positioning. Next, the contribution of each contaminated organ to the count is assessed from Monte Carlo calculations. The in vivo measurements realized at LEDI, CIEMAT and KIT have demonstrated the effectiveness of the method and highlighted the valuable contribution of Monte Carlo simulations for a more detailed analysis of spectrometry measurements. Thus, a more precise estimate of the activity distribution is given in the case of an internal contamination. (author)

  6. MDP Optimal Control under Temporal Logic Constraints

    CERN Document Server

    Ding, Xu Chu; Belta, Calin; Rus, Daniela

    2011-01-01

    In this paper, we develop a method to automatically generate a control policy for a dynamical system modeled as a Markov Decision Process (MDP). The control specification is given as a Linear Temporal Logic (LTL) formula over a set of propositions defined on the states of the MDP. We synthesize a control policy such that the MDP satisfies the given specification almost surely, if such a policy exists. In addition, we designate an "optimizing proposition" to be repeatedly satisfied, and we formulate a novel optimization criterion in terms of minimizing the expected cost in between satisfactions of this proposition. We propose a sufficient condition for a policy to be optimal, and develop a dynamic programming algorithm that synthesizes a policy that is optimal under some conditions, and sub-optimal otherwise. This problem is motivated by robotic applications requiring persistent tasks, such as environmental monitoring or data gathering, to be performed.

  7. 耕地土壤环境质量监测网最优网格尺度识别研究--以珠三角耕地土壤镉为例%Identify Optimal Grid Scale on Soil Environmental Quality Monitoring Network as An Example of Cultivated Soil Cadmium in the Pearl River Delta

    Institute of Scientific and Technical Information of China (English)

    谢志宜; 罗小玲; 郭庆荣; 陈丹青; 吕小明; 陆泗进; 王业耀; 梁耀杰; 朱晓辉

    2015-01-01

    Confirming what would be the optimal sampling density is one of the difficulties for soil environment investigation, monitoring and the construction of monitoring station networks. There are only a few studies that have been conducted on the optimal grid scale for soil environment investigations. This paper is based on the investigation of a 2 km×2 km dense grid of arable soil in the Pearl River Delta, and describes the research carried out to determine the optimal monitoring grid for measuring soil cadmium content by classical statistical methods, geo-statistical methods and spatial interpolation. The results indicate that: (1) Under different monitoring sizes of cells (2 km×2 km, 4 km×4 km, 8 km×8 km, and 16 km×16 km), the distances between the sampling points with intensive spatial autocorrelation are all smaller than the distance of spatial dependence;with the fitting degree increasing, the expressive ability of spatial variability of soil Cd concentration strengthen, indicating the expressive ability of 8 km×8 km grid is strongest;(2) The monitoring grids, except for the 16 km×16 km one, was able to accurately reflect the spatial variability of the arable soil cadmium content in the Pearl River Delta;And (3) the confidence level of the grids (2 km×2 km, 4 km×4 km, 8 km×8 km) to the Cochran Equation is 95%and the relative error is 15%. Under these conditions, the sampling error of the grids (2 km×2 km, 4 km×4 km, 8 km×8 km) was smaller than the permissible laboratory error as specified in the Soil Environmental Monitoring Technical Specifications (HJ/T 166─2004). In conclusion, the 8 km×8 km grid is the theoretical sampling grid for measuring soil cadmium content as the evaluation target on the scale of the Pearl River delta.%最优采样密度的确定是土壤环境调查、监测及监测网建设过程中的热点和难点科学问题,但当前对土壤环境监测最优网格尺度识别的研究较少。文章在对珠江三

  8. Optimization modeling with spreadsheets

    CERN Document Server

    Baker, Kenneth R

    2015-01-01

    An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third Edition emphasizes model building skills in optimization analysis. By emphasizing both spreadsheet modeling and optimization tools in the freely available Microsoft® Office Excel® Solver, the book illustrates how to find solutions to real-world optimization problems without needing additional specialized software. The Third Edition includes many practical applications of optimization models as well as a systematic framework that il

  9. Monitor resultaten geluid 2000

    NARCIS (Netherlands)

    Jabben J; Potma CJM; Swart WJR; LLO

    2001-01-01

    As part of an enhanced effort in monitoring the environmental quality in 1999, the RIVM set up a noise monitoring programme. This programme forms part of the project, "Development of a monitoring system for noise and disturbance", which aims at establishing a number of permanent sites for monitoring

  10. Shape Optimization of Swimming Sheets

    Energy Technology Data Exchange (ETDEWEB)

    Wilkening, J.; Hosoi, A.E.

    2005-03-01

    The swimming behavior of a flexible sheet which moves by propagating deformation waves along its body was first studied by G. I. Taylor in 1951. In addition to being of theoretical interest, this problem serves as a useful model of the locomotion of gastropods and various micro-organisms. Although the mechanics of swimming via wave propagation has been studied extensively, relatively little work has been done to define or describe optimal swimming by this mechanism.We carry out this objective for a sheet that is separated from a rigid substrate by a thin film of viscous Newtonian fluid. Using a lubrication approximation to model the dynamics, we derive the relevant Euler-Lagrange equations to optimize swimming speed and efficiency. The optimization equations are solved numerically using two different schemes: a limited memory BFGS method that uses cubic splines to represent the wave profile, and a multi-shooting Runge-Kutta approach that uses the Levenberg-Marquardt method to vary the parameters of the equations until the constraints are satisfied. The former approach is less efficient but generalizes nicely to the non-lubrication setting. For each optimization problem we obtain a one parameter family of solutions that becomes singular in a self-similar fashion as the parameter approaches a critical value. We explore the validity of the lubrication approximation near this singular limit by monitoring higher order corrections to the zeroth order theory and by comparing the results with finite element solutions of the full Stokes equations.

  11. VOLTAGE MONITORING INSTRUMENT WITH FAST-TRANSIENTS CAPTURE CAPABILITY

    Directory of Open Access Journals (Sweden)

    M. Gracida-Aguirre

    2003-09-01

    Full Text Available A monitoring instrument aimed at recording the voltage levels at residential installations is described. Its main feature is the capability ot recording short transients, lasting less than one cycle, while requiring a rather modest amount of memory for long monitoring periods. The instrument uses synchronous sampling of the voltage waveform, and its response to outages has been optimized.

  12. Monitoring Akkuyu Nuclear Reactor Using Anti-Neutrino Flux Measurement

    CERN Document Server

    Ozturk, Sertac; Ozcan, V Erkcan; Unel, Gokhan

    2016-01-01

    We present a simulation based study for monitoring Akkuyu Nuclear Power Plant's activity using anti-neutrino flux originating from the reactor core. A water Cherenkov detector has been designed and optimization studies have been performed using Geant4 simulation toolkit. A first study for the design of a monitoring detector facility for Akkuyu Nuclear Power Plant has been discussed in this paper.

  13. Optimization of internal monitoring methodology of {sup 18}F in the form of {sup 18}FDG at the CRCN-NE, Recife, Pernambuco, Brazil; Otimizacao da metodologia de monitoracao interna de {sup 18}F na forma de {sup 18}FDG no CRCN-NE

    Energy Technology Data Exchange (ETDEWEB)

    Lacerda, Isabelle V.B.; Xavier, Aline C.S.; Lima, Fabiana F.; Oliveira, Mercia L., E-mail: fflima@cnen.gov.b, E-mail: mercial@cnen.gov.b, E-mail: falima@cnen.gov.b [Centro Regional de Ciencias Nucleares do Nordeste (CRCN-NE/CNEN-PE), Recife, PE (Brazil); Oliveira, Cassio M., E-mail: cmo@cdtn.b [Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG (Brazil); Silva, Tania V. da; Alonso, Thessa C.; Silva, Teogenes A. da, E-mail: silvatv@cdtn.b, E-mail: alonso@cdtn.b, E-mail: silvata@cdtn.b [Centro de Desenvolvimento da Tecnologia Nuclear (CDTN/CNEN), Belo Horizonte, MG (Brazil)

    2011-07-01

    The work aims to optimize and improve the efficiency of the internal monitoring technique developed at Centro Regional de Ciencias Nucleares do Nordeste for F-18 in form of F-18DG radiopharmaceuticals. It was performed two assays for the methodology developed. The first was performed in a makeshift room, while the second was performed in a room with walls reinforced with concrete. The detection system was a NaI (Tl) 3{sup x} 3{sup s}cintillation detector, coupled with the software Genie 2000. In order to obtain the calibration factor, a brain phantom containing {sup 22}Na liquid source was measured. The interpretation of the bioassay data was performed using the biokinetic models provided by the ICRP 53 and edited by software AIDE-version 6, which gives the fraction of activity retained in the organs as a function of time. The sensitivities of detection were similar, resulting in a minimum detectable dose below 1 mSv, as recommended by the IAEA. (author)

  14. Groundwater detection monitoring system design under conditions of uncertainty

    NARCIS (Netherlands)

    Yenigül, N.B.

    2006-01-01

    Landfills represent a wide-spread and significant threat to groundwater quality. In this thesis a methodology was developed for the design of optimal groundwater moni-toring system design at landfill sites under conditions of uncertainty. First a decision analysis approach was presented for optimal

  15. A neutron portal monitor for vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Coop, K.L.; Fehlau, P.E.; Atwater, H.F.

    1987-07-12

    We have designed and built a portal vehicle monitoring systems for detecting neutron-emitting special nuclear material (SNM) such as plutonium. Monte Carlo calculations were used to optimize the design of the 15-cm-deep x 122-cm-high x 244-cm-long detector chambers, which utilize /sup 3/He proportional counters inside a hollow polyethylene box. Results for a variety of parametric studies, including polyethylene thickness and detector number, are described. Our experimental measurements are in good agreement with the computer calculations. The monitor's decision logic uses the Sequential Probability Ratio Test (SPRT) on Poisson distributed counting data, which is superior to other statistical tests in many applications. We performed computer simulations of the SPRT logic to determine expected false-positive decision rates. A controller unit of our design that uses this SPRT was built commercially. The cost of the complete monitoring system is similar to that of vehicle portal monitors that detect gamma rays. This new neutron monitor can serve as an addition to standard gamma-ray vehicle portals or as a stand-alone portal monitor in particular safeguards monitoring situations. The monitor is being tested at Los Alamos and is scheduled for in-plant evaluation of another DOE facility in 1987. 7 refs.

  16. Applications of combinatorial optimization

    CERN Document Server

    Paschos, Vangelis Th

    2013-01-01

    Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aims to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. "Applications of Combinatorial Optimization" is presenting a certain number among the most common and well-known applications of Combinatorial Optimization.

  17. New Hoopoe Heuristic Optimization

    OpenAIRE

    El-Dosuky, Mohammed; EL-Bassiouny, Ahmed; Hamza, Taher; Rashad, Magdy

    2012-01-01

    Most optimization problems in real life applications are often highly nonlinear. Local optimization algorithms do not give the desired performance. So, only global optimization algorithms should be used to obtain optimal solutions. This paper introduces a new nature-inspired metaheuristic optimization algorithm, called Hoopoe Heuristic (HH). In this paper, we will study HH and validate it against some test functions. Investigations show that it is very promising and could be seen as an optimi...

  18. SNMP Based Network Optimization Technique Using Genetic Algorithms

    Directory of Open Access Journals (Sweden)

    M. Mohamed Surputheen

    2012-03-01

    Full Text Available Genetic Algorithms (GAs has innumerable applications through the optimization techniques and network optimization is one of them. SNMP (Simple Network Management Protocol is used as the basic network protocol for monitoring the network activities health of the systems. This paper deals with adding Intelligence to the various aspects of SNMP by adding optimization techniques derived out of genetic algorithms, which enhances the performance of SNMP processes like routing.

  19. Optimization design and experiment of monitoring system forBactrocera dorsalis trapping under lighting variations%适应场景光照变化的桔小实蝇诱捕监测系统优化设计与试验

    Institute of Scientific and Technical Information of China (English)

    肖德琴; 叶耀文; 冯健昭; 潘春华; 陆永跃

    2016-01-01

    Bactrocera Dorsalis is a type of invasive pests and causes serious damage to many important economic crops. In order to monitor Bactrocera Dorsalisaccurately, and to reduce the misjudgment of light-induced problem, a remote monitoring system which combined a hardware equipment and a software system was designed. The hardware equipment was optimized based on our preliminary design forBactrocera Dorsalis trapping. By improving the shading system, solar devices and 4G communications devices, the hardware equipment now can be self-powered and integrate the insect pest information collection, processing and transmission as a whole functionality. In addition, this paper presents a good human-computer interaction software system, which includes theBactrocera Dorsalis monitoring programs, the server and the client-side. The monitoring program can monitor the trapping process, precisely calculate the number ofBactrocera Dorsalis, and automatically transmit the results to the remote server or store it in a local storage card. Users are convenient to obtain the monitoring information through the client-side. In order to improve the accuracy ofthe Bactrocera Dorsalis detection algorithm (BDDA) and achieve the requirements of real-time systems, an algorithm namedBactrocera Dorsalis detection algorithm under lighting variations (BDDA-LV) was proposed. The BDDA-LV began by selecting appropriate background model according to the light conditions. Then the background difference method was used to extractBactrocera Dorsalis target preliminarily. Median filtering and morphological filtering for the image was used to reduce white noise, and eliminate holes in the target area to improve the image quality. The image was then divided into blocks based on the adjacent pixels of the image and used these blocks for Geometric feature matching, so that theBactrocera Dorsalis area can be extracted. Both BDDA-LV algorithm and BDDA algorithm were tested by two sets of data. These data came from

  20. Drug monitoring and individual dose optimization of antimicrobial drugs : oxazolidinones

    NARCIS (Netherlands)

    Cattaneo, Dario; Alffenaar, Jan-Willem; Neely, Michael

    INTRODUCTION: Oxazolidinones are synthetic antibiotics with bacteriostatic activity against Gram-positive pathogens. Linezolid, the first marketed oxazolidinone, has shown also activity against Mycobaterium tuberculosis, including multidrug-resistant and extensively drug-resistant strains. Recently,

  1. Drilling optimized by monitoring BHA dynamics with MWD

    Energy Technology Data Exchange (ETDEWEB)

    Sutcliffe, B. (Teleco Oilfield Services Inc., Aberdeen (GB)); Sim, D. (Teleco Oilfield Services Inc., Meriden, CT (US))

    1991-03-25

    By measuring the drilling performance of the bottom hole assembly (BHA) in real time, the probability of serious drilling problems can be reduced. A new logging tool and service directly measures bottom hole assembly performance, thus allowing swifter and more accurate corrective measures when necessary. Drilling time savings are realized through improved rates of penetration (ROP), reduced off-bottom time, and increase life of drillstring. Advances in measurement-while-drilling (MWD) technology have facilitated the inclusion of downhole drilling dynamics measurements into the package of MWD data transmitted in real time. Thus, the actual energy input to the bit and the resistance of the formation to drilling can be measured and compared to the surface data. This provides an extremely useful analytical tool for the drilling engineer.

  2. Drug monitoring and individual dose optimization of antimicrobial drugs : oxazolidinones

    NARCIS (Netherlands)

    Cattaneo, Dario; Alffenaar, Jan-Willem; Neely, Michael

    2016-01-01

    INTRODUCTION: Oxazolidinones are synthetic antibiotics with bacteriostatic activity against Gram-positive pathogens. Linezolid, the first marketed oxazolidinone, has shown also activity against Mycobaterium tuberculosis, including multidrug-resistant and extensively drug-resistant strains. Recently,

  3. Drug monitoring and individual dose optimization of antimicrobial drugs : oxazolidinones

    NARCIS (Netherlands)

    Cattaneo, Dario; Alffenaar, Jan-Willem; Neely, Michael

    2016-01-01

    INTRODUCTION: Oxazolidinones are synthetic antibiotics with bacteriostatic activity against Gram-positive pathogens. Linezolid, the first marketed oxazolidinone, has shown also activity against Mycobaterium tuberculosis, including multidrug-resistant and extensively drug-resistant strains. Recently,

  4. Contactless optoelectronic technique for monitoring epoxy cure.

    Science.gov (United States)

    Cusano, A; Buonocore, V; Breglio, G; Calabrò, A; Giordano, M; Cutolo, A; Nicolais, L

    2000-03-01

    We describe a novel noninvasive optical technique to monitor the refractive-index variation in an epoxy-based resin that is due to the polymerization process. This kind of resin is widely used in polymer matrix composites. It is well known that the process of fabricating a thermoset-based composite involves mass and heat transfer coupled with irreversible chemical reactions that induce physical changes. To improve the quality and the reliability of these materials, monitoring the cure and optimization of the manufacturing process are of key importance. We discuss the basic operating principles of an optical system based on angle deflection measurements and present typical cure-monitoring results obtained from optical characterization. The method provides a flexible, high-sensitivity, material-independent, low-cost, noninvasive tool for monitoring real-time refractive-index variation.

  5. A designated centre for people with disabilities operated by Brothers of Charity Services Ireland, Clare

    LENUS (Irish Health Repository)

    Vega, Tomás

    2015-05-30

    Although influenza-like illnesses (ILI) and acute respiratory illnesses (ARI) surveillance are well established in Europe, the comparability of intensity among countries and seasons remains an unresolved challenge.

  6. A designated centre for people with disabilities operated by Brothers of Charity Services Ireland, Clare

    LENUS (Irish Health Repository)

    Balfe, Myles

    2009-01-01

    BACKGROUND: In-depth understanding of the factors that prompt young adults to attend health services for sexually transmitted infection (STI) testing are needed to underpin sexual health programes. We conducted a qualitative study to identify and explore why young adults (18-29 years) in Ireland attended specialist and community health services for STI testing; the factors that supported\\/undermined their decisions to seek STI testing; and any factors that led to delay in seeking STI testing. METHODS: Semi-structured interviews with 30 adults (21 women, 9 men). Young adults were recruited from General Practice (GP) practices, Third Level College health services, Family Planning clinics and specialist STI treatment services for men who have sex with men (MSM). Interview questions examined why respondents decided to go for STI testing, whether they acted upon this desire immediately or decided to wait, and what they felt were important barriers\\/enablers to their health-seeking attempts. Interviews were thematically analyzed using standard qualitative techniques. RESULTS: Respondents sought STI testing for one of four reasons: they had reached a transitional moment in their lives (they were either about to stop using condoms with their sexual partner or were emerging from a period of their lives where they had a series of risky sexual relationships); they had had unprotected sex with a casual partner; they had symptoms of infection; and\\/or they were required to do so by their employer. Catalytic factors included media and government health promotion campaigns and knowing someone with an STI. However, many respondents delayed seeking testing. Reasons included respondents\\' concerns about stigma and that they would be judged by healthcare professionals, and feelings of invulnerability. Importantly, several respondents who waited up to four weeks to make an appointment after their initial decision to seek STI testing did not view this as delay. CONCLUSION: Sexual health promotion campaigns for young people should address the reasons why they delay testing, specifically through measures to avoid stigma (supply-side) and reassure young adults (demand-side). Strategies to increase testing-uptake should focus on these four key opportunities - young adults leaving relationships, those entering relationships where condoms will not be used, those who have had unprotected sex and those with STI-related symptoms.

  7. A designated centre for people with disabilities, operated by Acquired Brain Injury Ireland, Clare

    LENUS (Irish Health Repository)

    Murphy, Catriona

    2015-07-01

    This study aims to examine the extent to which statins are used by adults at high risk of cardiovascular disease (CVD) compared to European clinical guidelines. The high-risk groups examined are those with (1) known CVD, (2) known diabetes and (3) a high or very high risk (≥5%) of CVD mortality based on Systematic COronary Risk Evaluation (SCORE).

  8. A designated centre for people with disabilities operated by Brothers of Charity Services Ireland, Clare

    LENUS (Irish Health Repository)

    Kamel Boulos, Maged N

    2011-12-21

    Abstract \\'Wikification of GIS by the masses\\' is a phrase-term first coined by Kamel Boulos in 2005, two years earlier than Goodchild\\'s term \\'Volunteered Geographic Information\\'. Six years later (2005-2011), OpenStreetMap and Google Earth (GE) are now full-fledged, crowdsourced \\'Wikipedias of the Earth\\' par excellence, with millions of users contributing their own layers to GE, attaching photos, videos, notes and even 3-D (three dimensional) models to locations in GE. From using Twitter in participatory sensing and bicycle-mounted sensors in pervasive environmental sensing, to creating a 100,000-sensor geo-mashup using Semantic Web technology, to the 3-D visualisation of indoor and outdoor surveillance data in real-time and the development of next-generation, collaborative natural user interfaces that will power the spatially-enabled public health and emergency situation rooms of the future, where sensor data and citizen reports can be triaged and acted upon in real-time by distributed teams of professionals, this paper offers a comprehensive state-of-the-art review of the overlapping domains of the Sensor Web, citizen sensing and \\'human-in-the-loop sensing\\' in the era of the Mobile and Social Web, and the roles these domains can play in environmental and public health surveillance and crisis\\/disaster informatics. We provide an in-depth review of the key issues and trends in these areas, the challenges faced when reasoning and making decisions with real-time crowdsourced data (such as issues of information overload, "noise", misinformation, bias and trust), the core technologies and Open Geospatial Consortium (OGC) standards involved (Sensor Web Enablement and Open GeoSMS), as well as a few outstanding project implementation examples from around the world.

  9. A designated centre for people with disabilities operated by Brothers of Charity Services Ireland, Clare

    LENUS (Irish Health Repository)

    O'Mahoney, S

    2012-06-01

    AJ Cronin (1896-1981) was a Scottish-born doctor-turned-novelist whose most famous novel is The Citadel, published in 1937. The book describes the struggles of an idealistic young doctor working in Wales and London in the 1920s and 30s. The novel was a global bestseller and its portrayal of a largely ineffective, corruption-ridden system of healthcare is thought to have directly influenced the foundation of the National Health Service in 1948. The Citadel anticipates such phenomena as evidence-based medicine and continuing medical education. This paper argues that the novel was never intended as propaganda for a state-controlled national health service. On the contrary, Cronin was against state control. Analysis of the novel is informed by recent biographical revelations about Cronin and the blurring of the margin between fact and fiction in Cronin\\'s life and work is examined.

  10. A designated centre for people with disabilities operated by Camphill Community Mountshannon, Clare

    LENUS (Irish Health Repository)

    Daly, Caroline

    2013-01-01

    Proper assessment of the physiologic impact of coronary artery stenosis on the LV myocardium can affect patient prognosis and treatment decisions. Cardiac magnetic resonance imaging (CMR) assesses myocardial perfusion by imaging the myocardium during a first-pass transit of an intravenous gadolinium bolus, with spatial and temporal resolution substantially higher than nuclear myocardial perfusion imaging. Coupled with late gadolinium enhancement (LGE) imaging for infarction during the same imaging session, CMR with vasodilating stress perfusion imaging can qualitatively and quantitatively assess the myocardial extent of hypoperfusion from coronary stenosis independent of infarcted myocardium. This approach has been validated experimentally, and multiple clinical trials have established its diagnostic robustness when compared to stress single-photon emission computed tomography. In specialized centers, dobutamine stress CMR has been shown to have incremental diagnostic value above stress echocardiography due to its high imaging quality and ability to image the heart with no restriction of imaging window. This paper reviews the technical aspects, diagnostic utility, prognostic values, challenges to clinical adaptation, and future developments of stress CMR imaging.

  11. A designated centre for people with disabilities operated by Brothers of Charity Services Clare

    LENUS (Irish Health Repository)

    Skerritt, Louise

    2014-06-01

    This study aimed to establish the prevalence and aetiology of wounds, allowing an insight into the management of wound care, the use of dressings and the nursing time allocated to the provision of wound care in a community setting in Ireland. A cross-sectional survey was used, with data collected on all clients in the community who received treatment from public health nurses or community registered general nurses for wound care over a 1-week period in April 2013. A 98.9% response rate was realised, and 188 people were identified as having wounds, equating to a crude prevalence of 5% of the active community nursing caseload. A total of 60% (n=112) had leg ulcers, 22% (n=42) had pressure ulcers, 16% (n=30) had an acute wound (surgical or traumatic wounds), 1% (n=2) had a diabetic foot wound and a further 1% (n=2) had wounds of other aetiologies. The mean duration of wounds was 5.41 months. A total of 18% of wounds were identified as infected; however, 60% (n=112) of wounds had antimicrobial products in use as either a primary or secondary dressing. The study established that there is a significant prevalence of wounds in this community care area. There was absence of a clinical diagnosis in many cases, and evidence of inappropriate dressing use, risking an increase in costs and a decrease in good clinical outcomes. It also highlighted the importance of ongoing education and auditing in the provision of wound care.

  12. A designated centre for people with disabilities operated by Peter Bradley Foundation Limited, Clare

    LENUS (Irish Health Repository)

    1986-01-01

    Please note that this handbook was written in the 1990s and information may have been superceded with more recent publications. Please check the Alzheimer\\'s Society of Ireland website for the most up to date versions of documents. This document is made available here for achival purposes.

  13. A designated centre for people with disabilities operated by Brothers of Charity Services Ireland, Clare

    LENUS (Irish Health Repository)

    Dowling, Daniel

    2013-01-01

    The incidence of obesity, increased weight gain and the popularity of high-fat \\/ high-sugar diets are seriously impacting upon the global population. Billions of individuals are affected, and although diet and lifestyle are of paramount importance to the development of adult obesity, compelling evidence is emerging which suggests that maternal obesity and related disorders may be passed on to the next generation by non-genetic means. The processes acting within the uteri of obese mothers may permanently predispose offspring to a diverse plethora of diseases ranging from obesity and diabetes to psychiatric disorders. This review aims to summarise some of the molecular mechanisms and active processes currently known about maternal obesity and its effect on foetal and neonatal physiology and metabolism. Complex and multifactorial networks of molecules are intertwined and culminate in a pathologically synergistic manner to cause disruption and disorganisation of foetal physiology. This altered phenotype may potentiate the cycle of intergenerational transmission of obesity and related disorders.

  14. A designated centre for people with disabilities operated by Nua Healthcare Services, Clare

    LENUS (Irish Health Repository)

    Backert, Steffen

    2011-11-01

    Abstract Helicobacter pylori is a highly successful pathogen uniquely adapted to colonize humans. Gastric infections with this bacterium can induce pathology ranging from chronic gastritis and peptic ulcers to gastric cancer. More virulent H. pylori isolates harbour numerous well-known adhesins (BabA\\/B, SabA, AlpA\\/B, OipA and HopZ) and the cag (cytotoxin-associated genes) pathogenicity island encoding a type IV secretion system (T4SS). The adhesins establish tight bacterial contact with host target cells and the T4SS represents a needle-like pilus device for the delivery of effector proteins into host target cells such as CagA. BabA and SabA bind to blood group antigen and sialylated proteins respectively, and a series of T4SS components including CagI, CagL, CagY and CagA have been shown to target the integrin β1 receptor followed by injection of CagA across the host cell membrane. The interaction of CagA with membrane-anchored phosphatidylserine may also play a role in the delivery process. While substantial progress has been made in our current understanding of many of the above factors, the host cell receptors for OipA, HopZ and AlpA\\/B during infection are still unknown. Here we review the recent progress in characterizing the interactions of the various adhesins and structural T4SS proteins with host cell factors. The contribution of these interactions to H. pylori colonization and pathogenesis is discussed.

  15. A designated centre for people with disabilities operated by Brothers of Charity Services Limerick - Clare

    LENUS (Irish Health Repository)

    Bracken, Pat

    2012-12-01

    A series of editorials in this Journal have argued that psychiatry is in the midst of a crisis. The various solutions proposed would all involve a strengthening of psychiatry\\'s identity as essentially \\'applied neuroscience\\'. Although not discounting the importance of the brain sciences and psychopharmacology, we argue that psychiatry needs to move beyond the dominance of the current, technological paradigm. This would be more in keeping with the evidence about how positive outcomes are achieved and could also serve to foster more meaningful collaboration with the growing service user movement.

  16. A designated centre for people with disabilities operated by Brothers of Charity Services Ireland, Clare

    LENUS (Irish Health Repository)

    Lindsay, K.L

    2014-07-01

    The aim of the study is to explore the dietary intakes of a prominent ethnic minority group of women from Sub-Saharan Africa during pregnancy, in order to identify nutritional issues of concern which may impact on pregnancy outcomes and whether different food based dietary guidelines may be required to meet their needs.

  17. A designated centre for people with disabilities operated by Enable Ireland Disability Services Limited -Clare

    LENUS (Irish Health Repository)

    O'Malley, Margaret

    2012-10-15

    The risk of children getting dental injuries during sport can be minimised by using a mouthguard. Within Ireland, information on mouthguard use and policy is limited. The extent of dental trauma experienced by children during sport is also unclear.

  18. The CABES (Clare Adult Basic Education Service) Framework as a Tool for Teaching and Learning

    Science.gov (United States)

    Greene, Moira

    2015-01-01

    This article describes a Framework that can be used to help bridge the gap between theory and practice in adult learning. The Framework promotes practice informed by three strands important to adult literacy work: social theories of literacy, social-constructivist learning theory and principles of adult learning. The Framework shows how five key…

  19. Ultrasonic wireless health monitoring

    Science.gov (United States)

    Petit, Lionel; Lefeuvre, Elie; Guyomar, Daniel; Richard, Claude; Guy, Philippe; Yuse, Kaori; Monnier, Thomas

    2006-03-01

    The integration of autonomous wireless elements in health monitoring network increases the reliability by suppressing power supplies and data transmission wiring. Micro-power piezoelectric generators are an attractive alternative to primary batteries which are limited by a finite amount of energy, a limited capacity retention and a short shelf life (few years). Our goal is to implement such an energy harvesting system for powering a single AWT (Autonomous Wireless Transmitter) using our SSH (Synchronized Switch Harvesting) method. Based on a non linear process of the piezoelement voltage, this SSH method optimizes the energy extraction from the mechanical vibrations. This AWT has two main functions : The generation of an identifier code by RF transmission to the central receiver and the Lamb wave generation for the health monitoring of the host structure. A damage index is derived from the variation between the transmitted wave spectrum and a reference spectrum. The same piezoelements are used for the energy harvesting function and the Lamb wave generation, thus reducing mass and cost. A micro-controller drives the energy balance and synchronizes the functions. Such an autonomous transmitter has been evaluated on a 300x50x2 mm 3 composite cantilever beam. Four 33x11x0.3 mm 3 piezoelements are used for the energy harvesting and for the wave lamb generation. A piezoelectric sensor is placed at the free end of the beam to track the transmitted Lamb wave. In this configuration, the needed energy for the RF emission is 0.1 mJ for a 1 byte-information and the Lamb wave emission requires less than 0.1mJ. The AWT can harvested an energy quantity of approximately 20 mJ (for a 1.5 Mpa lateral stress) with a 470 μF storage capacitor. This corresponds to a power density near to 6mW/cm 3. The experimental AWT energy abilities are presented and the damage detection process is discussed. Finally, some envisaged solutions are introduced for the implementation of the required data

  20. Optical Performance Monitoring using Proactive Monitoring and the Time Caliper Method

    Science.gov (United States)

    Luk, Hon Tung

    The widespread real time multimedia applications generate increasing demands of data transmission capacity nowadays. Fiber-optic communication is the core technology to meet the capacity requirements of the fast growing internet data and to support the long haul transmission with low cost. Reliability is a key issue for high data rate transmission systems because the interruption of connection may result in substantial amount of data lost. Performance monitoring is essential for maintaining reliability by keeping track of the network status rapidly. In this thesis, we will investigate two aspects of performance monitoring in optical communication systems: network-based monitoring and link-based physical layer monitoring. In the case of network-based monitoring, proactive monitoring is used to reduce the acquisition time to obtain the monitoring information. The monitoring process is modeled as a Markov Decision Process. We propose nine different monitoring schemes and show that the scheme with increasing probing number and probing unpopular edge first has the best overall performance, regarding to coverage of monitoring links and blocking probability. On the other hand, if we would like to reduce the cost for proactive monitoring, the shortest path probing scheme is the optimal monitoring schemes when the monitoring paths are probed independently. In addition, if we consider the cases of edge overlapping and node overlapping of the monitoring paths, the overlapping probing scheme may require less number of hops during the monitoring process. Formulas have been derived for checking the conditions when the overlapping probing scheme can be applied. Simulations are performed under different optical network topologies and conditions to evaluate the performance of the schemes. Measurement of relative delay facilitates various monitoring and compensation applications, such as synchronization of subchannels in multiplexing systems, dispersion measurement. In the case of

  1. 8th Workshop on Computational Optimization

    CERN Document Server

    2016-01-01

    This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2015. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, control of ethanol production, minimal convex hill with application in routing algorithms, graph coloring, flow design in photonic data transport system, predicting indoor temperature, crisis control center monitoring, fuel consumption of helicopters, portfolio selection, GPS surveying and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization problems. .

  2. Mechanical Design Optimization Using Advanced Optimization Techniques

    CERN Document Server

    Rao, R Venkata

    2012-01-01

    Mechanical design includes an optimization process in which designers always consider objectives such as strength, deflection, weight, wear, corrosion, etc. depending on the requirements. However, design optimization for a complete mechanical assembly leads to a complicated objective function with a large number of design variables. It is a good practice to apply optimization techniques for individual components or intermediate assemblies than a complete assembly. Analytical or numerical methods for calculating the extreme values of a function may perform well in many practical cases, but may fail in more complex design situations. In real design problems, the number of design parameters can be very large and their influence on the value to be optimized (the goal function) can be very complicated, having nonlinear character. In these complex cases, advanced optimization algorithms offer solutions to the problems, because they find a solution near to the global optimum within reasonable time and computational ...

  3. Benchmarking optimization solvers for structural topology optimization

    DEFF Research Database (Denmark)

    Rojas Labanda, Susana; Stolpe, Mathias

    2015-01-01

    The purpose of this article is to benchmark different optimization solvers when applied to various finite element based structural topology optimization problems. An extensive and representative library of minimum compliance, minimum volume, and mechanism design problem instances for different...... sizes is developed for this benchmarking. The problems are based on a material interpolation scheme combined with a density filter. Different optimization solvers including Optimality Criteria (OC), the Method of Moving Asymptotes (MMA) and its globally convergent version GCMMA, the interior point...... profiles conclude that general solvers are as efficient and reliable as classical structural topology optimization solvers. Moreover, the use of the exact Hessians in SAND formulations, generally produce designs with better objective function values. However, with the benchmarked implementations solving...

  4. Microgenetic optimization algorithm for optimal wavefront shaping

    CERN Document Server

    Anderson, Benjamin R; Gunawidjaja, Ray; Eilers, Hergen

    2015-01-01

    One of the main limitations of utilizing optimal wavefront shaping in imaging and authentication applications is the slow speed of the optimization algorithms currently being used. To address this problem we develop a micro-genetic optimization algorithm ($\\mu$GA) for optimal wavefront shaping. We test the abilities of the $\\mu$GA and make comparisons to previous algorithms (iterative and simple-genetic) by using each algorithm to optimize transmission through an opaque medium. From our experiments we find that the $\\mu$GA is faster than both the iterative and simple-genetic algorithms and that both genetic algorithms are more resistant to noise and sample decoherence than the iterative algorithm.

  5. Blazar Monitoring List

    Data.gov (United States)

    National Aeronautics and Space Administration — This is a compilation of sources in major blazar monitoring programs. This list contains all blazars known to be regularly monitored, plus all the MOJAVE- &...

  6. Lunar Health Monitor Project

    Data.gov (United States)

    National Aeronautics and Space Administration — During the Phase II Lunar Health Monitor program, Orbital Research will develop a second generation wearable sensor suite for astronaut physiologic monitoring. The...

  7. Inductive Monitoring System (IMS)

    Data.gov (United States)

    National Aeronautics and Space Administration — IMS: Inductive Monitoring System The Inductive Monitoring System (IMS) is a tool that uses a data mining technique called clustering to extract models of normal...

  8. Flight Systems Monitor Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This SBIR Phase I project will develop the Flight System Monitor which will use non-intrusive electrical monitoring (NEMO). The electronic system health of...

  9. Spacecraft Power Monitor Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This SBIR Phase I project will develop the Spacecraft Power Monitor (SPM) which will use non-intrusive electrical monitoring (NEMO). NEMO transforms the power...

  10. Biological Monitoring Team

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Biological Monitoring Team (BMT) was a pilot project focused on addressing NWRS inventory and monitoring needs in Regions 3 and 5. The BMT was a precursor to the...

  11. Apnea monitor (image)

    Science.gov (United States)

    An apnea monitor checks the heart rate and respiration of the baby to make sure he or she is ... When either one falls below normal levels, the apnea monitor beeps to notify the care provider that ...

  12. Particle Swarm Optimization Toolbox

    Science.gov (United States)

    Grant, Michael J.

    2010-01-01

    The Particle Swarm Optimization Toolbox is a library of evolutionary optimization tools developed in the MATLAB environment. The algorithms contained in the library include a genetic algorithm (GA), a single-objective particle swarm optimizer (SOPSO), and a multi-objective particle swarm optimizer (MOPSO). Development focused on both the SOPSO and MOPSO. A GA was included mainly for comparison purposes, and the particle swarm optimizers appeared to perform better for a wide variety of optimization problems. All algorithms are capable of performing unconstrained and constrained optimization. The particle swarm optimizers are capable of performing single and multi-objective optimization. The SOPSO and MOPSO algorithms are based on swarming theory and bird-flocking patterns to search the trade space for the optimal solution or optimal trade in competing objectives. The MOPSO generates Pareto fronts for objectives that are in competition. A GA, based on Darwin evolutionary theory, is also included in the library. The GA consists of individuals that form a population in the design space. The population mates to form offspring at new locations in the design space. These offspring contain traits from both of the parents. The algorithm is based on this combination of traits from parents to hopefully provide an improved solution than either of the original parents. As the algorithm progresses, individuals that hold these optimal traits will emerge as the optimal solutions. Due to the generic design of all optimization algorithms, each algorithm interfaces with a user-supplied objective function. This function serves as a "black-box" to the optimizers in which the only purpose of this function is to evaluate solutions provided by the optimizers. Hence, the user-supplied function can be numerical simulations, analytical functions, etc., since the specific detail of this function is of no concern to the optimizer. These algorithms were originally developed to support entry

  13. Optimization of composite laminates

    Science.gov (United States)

    Gurdal, Zafer; Haftka, Raphael T.

    Design of composite structures can be viewed as a multi-faceted task, one which requires integration of issues related to composite mechanics, structural analysis, optimization, and manufacturing. The major coverage of the paper is on the issue of optimization, with special emphasis on the use of optimization for designing with discrete and integer valued variables required for the stacking-sequence optimization. Different techniques that can be used for stacking sequence optimization are introduced, and different aspects of their application are demonstrated for laminate buckling optimization.

  14. Analysis and monitoring design for networks

    Energy Technology Data Exchange (ETDEWEB)

    Fedorov, V.; Flanagan, D.; Rowan, T.; Batsell, S.

    1998-06-01

    The idea of applying experimental design methodologies to develop monitoring systems for computer networks is relatively novel even though it was applied in other areas such as meteorology, seismology, and transportation. One objective of a monitoring system should always be to collect as little data as necessary to be able to monitor specific parameters of the system with respect to assigned targets and objectives. This implies a purposeful monitoring where each piece of data has a reason to be collected and stored for future use. When a computer network system as large and complex as the Internet is the monitoring subject, providing an optimal and parsimonious observing system becomes even more important. Many data collection decisions must be made by the developers of a monitoring system. These decisions include but are not limited to the following: (1) The type data collection hardware and software instruments to be used; (2) How to minimize interruption of regular network activities during data collection; (3) Quantification of the objectives and the formulation of optimality criteria; (4) The placement of data collection hardware and software devices; (5) The amount of data to be collected in a given time period, how large a subset of the available data to collect during the period, the length of the period, and the frequency of data collection; (6) The determination of the data to be collected (for instance, selection of response and explanatory variables); (7) Which data will be retained and how long (i.e., data storage and retention issues); and (8) The cost analysis of experiments. Mathematical statistics, and, in particular, optimal experimental design methods, may be used to address the majority of problems generated by 3--7. In this study, the authors focus their efforts on topics 3--5.

  15. Environmental monitoring lecture notes

    Energy Technology Data Exchange (ETDEWEB)

    Soldat, J.K.

    1965-03-01

    Criteria for environmental monitoring programs for radioactivity are presented. Standards for public exposure and the basis for maximum permissible concentration values are discussed. The value of pre-operational surveys, operation surveys, and emergency surveys in environmental monitoring programs is considered. The environmental monitoring program at the Hanford Area is described. 90 references.

  16. Inside the Monitor Model

    DEFF Research Database (Denmark)

    Carl, Michael; Dragsted, Barbara

    2012-01-01

    a “monitor model” according to which translators start with a literal default rendering procedure and where a monitor interrupts the default procedure when a problem occurs. This paper suggests an extension of the monitor model in which comprehension and production are processed in parallel by the default...

  17. Multicriteria optimization informed VMAT planning

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Huixiao; Craft, David L.; Gierga, David P., E-mail: dgierga@partners.org

    2014-04-01

    We developed a patient-specific volumetric-modulated arc therapy (VMAT) optimization procedure using dose-volume histogram (DVH) information from multicriteria optimization (MCO) of intensity-modulated radiotherapy (IMRT) plans. The study included 10 patients with prostate cancer undergoing standard fractionation treatment, 10 patients with prostate cancer undergoing hypofractionation treatment, and 5 patients with head/neck cancer. MCO-IMRT plans using 20 and 7 treatment fields were generated for each patient on the RayStation treatment planning system (clinical version 2.5, RaySearch Laboratories, Stockholm, Sweden). The resulting DVH of the 20-field MCO-IMRT plan for each patient was used as the reference DVH, and the extracted point values of the resulting DVH of the MCO-IMRT plan were used as objectives and constraints for VMAT optimization. Weights of objectives or constraints of VMAT optimization or both were further tuned to generate the best match with the reference DVH of the MCO-IMRT plan. The final optimal VMAT plan quality was evaluated by comparison with MCO-IMRT plans based on homogeneity index, conformity number of planning target volume, and organ at risk sparing. The influence of gantry spacing, arc number, and delivery time on VMAT plan quality for different tumor sites was also evaluated. The resulting VMAT plan quality essentially matched the 20-field MCO-IMRT plan but with a shorter delivery time and less monitor units. VMAT plan quality of head/neck cancer cases improved using dual arcs whereas prostate cases did not. VMAT plan quality was improved by fine gantry spacing of 2 for the head/neck cancer cases and the hypofractionation-treated prostate cancer cases but not for the standard fractionation–treated prostate cancer cases. MCO-informed VMAT optimization is a useful and valuable way to generate patient-specific optimal VMAT plans, though modification of the weights of objectives or constraints extracted from resulting DVH of MCO

  18. Multicriteria optimization informed VMAT planning.

    Science.gov (United States)

    Chen, Huixiao; Craft, David L; Gierga, David P

    2014-01-01

    We developed a patient-specific volumetric-modulated arc therapy (VMAT) optimization procedure using dose-volume histogram (DVH) information from multicriteria optimization (MCO) of intensity-modulated radiotherapy (IMRT) plans. The study included 10 patients with prostate cancer undergoing standard fractionation treatment, 10 patients with prostate cancer undergoing hypofractionation treatment, and 5 patients with head/neck cancer. MCO-IMRT plans using 20 and 7 treatment fields were generated for each patient on the RayStation treatment planning system (clinical version 2.5, RaySearch Laboratories, Stockholm, Sweden). The resulting DVH of the 20-field MCO-IMRT plan for each patient was used as the reference DVH, and the extracted point values of the resulting DVH of the MCO-IMRT plan were used as objectives and constraints for VMAT optimization. Weights of objectives or constraints of VMAT optimization or both were further tuned to generate the best match with the reference DVH of the MCO-IMRT plan. The final optimal VMAT plan quality was evaluated by comparison with MCO-IMRT plans based on homogeneity index, conformity number of planning target volume, and organ at risk sparing. The influence of gantry spacing, arc number, and delivery time on VMAT plan quality for different tumor sites was also evaluated. The resulting VMAT plan quality essentially matched the 20-field MCO-IMRT plan but with a shorter delivery time and less monitor units. VMAT plan quality of head/neck cancer cases improved using dual arcs whereas prostate cases did not. VMAT plan quality was improved by fine gantry spacing of 2 for the head/neck cancer cases and the hypofractionation-treated prostate cancer cases but not for the standard fractionation-treated prostate cancer cases. MCO-informed VMAT optimization is a useful and valuable way to generate patient-specific optimal VMAT plans, though modification of the weights of objectives or constraints extracted from resulting DVH of MCO-IMRT or

  19. BPA genetic monitoring - BPA Genetic Monitoring Project

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Initiated in 1989, this study monitors genetic changes associated with hatchery propagation in multiple Snake River sub-basins for Chinook salmon and steelhead. We...

  20. Monitoring of plethysmography variability index and total hemoglobin levels during cesarean sections with antepartum hemorrhage for early detection of bleeding

    Directory of Open Access Journals (Sweden)

    Ahmed Elsakka

    2017-01-01

    Conclusion: Plethysmography variability index and non invasive hemoglobin monitoring as well can be used for optimization of intravascular volume status during cesarean sections in parturients with antepartum hemorrhage.

  1. Oil Reservoir Production Optimization using Optimal Control

    DEFF Research Database (Denmark)

    Völcker, Carsten; Jørgensen, John Bagterp; Stenby, Erling Halfdan

    2011-01-01

    Practical oil reservoir management involves solution of large-scale constrained optimal control problems. In this paper we present a numerical method for solution of large-scale constrained optimal control problems. The method is a single-shooting method that computes the gradients using the adjo......Practical oil reservoir management involves solution of large-scale constrained optimal control problems. In this paper we present a numerical method for solution of large-scale constrained optimal control problems. The method is a single-shooting method that computes the gradients using...... the adjoint method. We use an Explicit Singly Diagonally Implicit Runge-Kutta (ESDIRK) method for the integration and a quasi-Newton Sequential Quadratic Programming (SQP) algorithm for the constrained optimization. We use this algorithm in a numerical case study to optimize the production of oil from an oil...... reservoir using water ooding and smart well technology. Compared to the uncontrolled case, the optimal operation increases the Net Present Value of the oil field by 10%....

  2. NMR reaction monitoring in flow synthesis

    Directory of Open Access Journals (Sweden)

    M. Victoria Gomez

    2017-02-01

    Full Text Available Recent advances in the use of flow chemistry with in-line and on-line analysis by NMR are presented. The use of macro- and microreactors, coupled with standard and custom made NMR probes involving microcoils, incorporated into high resolution and benchtop NMR instruments is reviewed. Some recent selected applications have been collected, including synthetic applications, the determination of the kinetic and thermodynamic parameters and reaction optimization, even in single experiments and on the μL scale. Finally, software that allows automatic reaction monitoring and optimization is discussed.

  3. Optimization with PDE constraints

    CERN Document Server

    Pinnau, Rene

    2008-01-01

    Presents an introduction of pde constrained optimization. This book provides a precise functional analytic treatment via optimality conditions and a non-smooth algorithmical framework. It also presents structure-exploiting discrete concepts and large scale, practically relevant applications.

  4. Optimal Alarm Systems

    Data.gov (United States)

    National Aeronautics and Space Administration — An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms for a fixed detection probability. It...

  5. Nuclear reactor effluent monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Minns, J.L.; Essig, T.H. [Nuclear Regulatory Commission, Washington, DC (United States)

    1993-12-31

    Radiological environmental monitoring and effluent monitoring at nuclear power plants is important both for normal operations, as well as in the event of an accident. During normal operations, environmental monitoring verifies the effectiveness of in-plant measures for controlling the release of radioactive materials in the plant. Following an accident, it would be an additional mechanism for estimating doses to members of the general public. This paper identifies the U.S. Nuclear Regulatory Commission (NRC) regulatory basis for requiring radiological environmental and effluent monitoring, licensee conditions for effluent and environmental monitoring, NRC independent oversight activities, and NRC`s program results.

  6. Path Optimization Using APSO

    Directory of Open Access Journals (Sweden)

    Deepak Goyal

    2013-07-01

    Full Text Available This paper addresses the malicious node detection and path optimization problem for wireless sensor networks. Malicious node detection in neighborhood is a needed because that node may cause incorrect decisions or energy depletion. In this paper APSO (combination of Artificial bee colony and particular swarm optimization is used to choose an optimized path. Through this improved version we will overcome the disadvantage of local optimal which comes when we use PSO approach.

  7. Optimization techniques in statistics

    CERN Document Server

    Rustagi, Jagdish S

    1994-01-01

    Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimiza

  8. Pseudolinear functions and optimization

    CERN Document Server

    Mishra, Shashi Kant

    2015-01-01

    Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex functions. It discusses the properties, characterizations, and applications of pseudolinear functions in nonlinear optimization problems.The book describes the characterizations of solution sets of various optimization problems. It examines multiobjective pseudolinear, multiobjective fractional pseudolinear, static minmax pseudolinear, and static minmax fractional pseudolinear optimization problems and their results. The authors extend these results to locally

  9. Optimization algorithms and applications

    CERN Document Server

    Arora, Rajesh Kumar

    2015-01-01

    Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden-Fletcher-Goldfarb-Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible direc

  10. Environmental Monitoring Plan

    Energy Technology Data Exchange (ETDEWEB)

    Holland, R.C. [Science Applications International Corp., San Diego, CA (United States)

    1993-07-01

    This Environmental Monitoring Plan was written to fulfill the requirements of Department of Energy (DOE) Order 5400.1 and DOE Environmental Regulatory Guide DOE/EH 0173T. This Plan documents the background, organizational structure, and methods used for effluent monitoring and environmental surveillance at Sandia National Laboratories/California. The design, rationale, and historical results of the environmental monitoring system are discussed in detail. Throughout the Plan, recommendations for improvements to the monitoring system are made. This revision to the Environmental Monitoring Plan was written to document the changes made to the Monitoring Program during 1992. Some of the data (most notably the statistical analyses of past monitoring data) has not been changed.

  11. Remote and Centralized Monitoring of PV Power Plants

    DEFF Research Database (Denmark)

    Kopacz, Csaba; Spataru, Sergiu; Sera, Dezso

    2014-01-01

    the inverters within each PV plant. The monitoring software stores the PV measurements in a data warehouse optimized for managing and data mining large amounts of data, from where it can be later visualized, analyzed and exported. By combining PV production measurements data with I-V curve measurements......This paper presents the concept and operating principles of a low-cost and flexible monitoring system for PV plants. Compared to classical solutions which can require dedicated hardware and/or specialized data logging systems, the monitoring system we propose allows parallel monitoring of PV plants...

  12. Optimal obstacle control problem

    Institute of Scientific and Technical Information of China (English)

    ZHU Li; LI Xiu-hua; GUO Xing-ming

    2008-01-01

    In the paper we discuss some properties of the state operators of the optimal obstacle control problem for elliptic variational inequality. Existence, uniqueness and regularity of the optimal control problem are established. In addition, the approximation of the optimal obstacle problem is also studied.

  13. Symmetries in Optimal Control

    NARCIS (Netherlands)

    Schaft, A.J. van der

    1987-01-01

    It is argued that the existence of symmetries may simplify, as in classical mechanics, the solution of optimal control problems. A procedure for obtaining symmetries for the optimal Hamiltonian resulting from the Maximum Principle is given; this avoids the actual calculation of the optimal

  14. Optimization and control methods in industrial engineering and construction

    CERN Document Server

    Wang, Xiangyu

    2014-01-01

    This book presents recent advances in optimization and control methods with applications to industrial engineering and construction management. It consists of 15 chapters authored by recognized experts in a variety of fields including control and operation research, industrial engineering, and project management. Topics include numerical methods in unconstrained optimization, robust optimal control problems, set splitting problems, optimum confidence interval analysis, a monitoring networks optimization survey, distributed fault detection, nonferrous industrial optimization approaches, neural networks in traffic flows, economic scheduling of CCHP systems, a project scheduling optimization survey, lean and agile construction project management, practical construction projects in Hong Kong, dynamic project management, production control in PC4P, and target contracts optimization.   The book offers a valuable reference work for scientists, engineers, researchers and practitioners in industrial engineering and c...

  15. Optimization and optimal control in automotive systems

    CERN Document Server

    Kolmanovsky, Ilya; Steinbuch, Maarten; Re, Luigi

    2014-01-01

    This book demonstrates the use of the optimization techniques that are becoming essential to meet the increasing stringency and variety of requirements for automotive systems. It shows the reader how to move away from earlier  approaches, based on some degree of heuristics, to the use of  more and more common systematic methods. Even systematic methods can be developed and applied in a large number of forms so the text collects contributions from across the theory, methods and real-world automotive applications of optimization. Greater fuel economy, significant reductions in permissible emissions, new drivability requirements and the generally increasing complexity of automotive systems are among the criteria that the contributing authors set themselves to meet. In many cases multiple and often conflicting requirements give rise to multi-objective constrained optimization problems which are also considered. Some of these problems fall into the domain of the traditional multi-disciplinary optimization applie...

  16. Optimal Load Dispatch Using Ant Lion Optimization

    Directory of Open Access Journals (Sweden)

    Menakshi Mahendru Nischal

    2015-08-01

    Full Text Available This paper presents Ant lion optimization (ALO technique to solve optimal load dispatch problem. Ant lion optimization (ALO is a novel nature inspired algorithm. The ALO algorithm mimics the hunting mechanism of ant lions in nature. Five main steps of hunting prey such as the random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps are implemented. Optimal load dispatch (OLD is a method of determining the most efficient, low-cost and reliable operation of a power system by dispatching available electricity generation resources to supply load on the system. The primary objective of OLD is to minimize total cost of generation while honoring operational constraints of available generation resources. The proposed technique is implemented on 3, 6 & 20 unit test system for solving the OLD. Numerical results shows that the proposed method has good convergence property and better in quality of solution than other algorithms reported in recent literature.

  17. Particle Swarm Optimization Based Reactive Power Optimization

    CERN Document Server

    Sujin, P R; Linda, M Mary

    2010-01-01

    Reactive power plays an important role in supporting the real power transfer by maintaining voltage stability and system reliability. It is a critical element for a transmission operator to ensure the reliability of an electric system while minimizing the cost associated with it. The traditional objectives of reactive power dispatch are focused on the technical side of reactive support such as minimization of transmission losses. Reactive power cost compensation to a generator is based on the incurred cost of its reactive power contribution less the cost of its obligation to support the active power delivery. In this paper an efficient Particle Swarm Optimization (PSO) based reactive power optimization approach is presented. The optimal reactive power dispatch problem is a nonlinear optimization problem with several constraints. The objective of the proposed PSO is to minimize the total support cost from generators and reactive compensators. It is achieved by maintaining the whole system power loss as minimum...

  18. Surveillance and Monitoring of Dialysis Access

    Directory of Open Access Journals (Sweden)

    Lalathaksha Kumbar

    2012-01-01

    Full Text Available Vascular access is the lifeline of a hemodialysis patient. Currently arteriovenous fistula and graft are considered the permanent options for vascular access. Monitoring and surveillance of vascular access are an integral part of the care of hemodialysis patient. Although different techniques and methods are available for identifying access dysfunction, the scientific evidence for the optimal methodology is lacking. A small number of randomized controlled trials have been performed evaluating different surveillance techniques. We performed a study of the recent literature published in the PUBMED, to review the scientific evidence on different methodologies currently being used for surveillance and monitoring and their impact on the care of the dialysis access. The limited randomized studies especially involving fistulae and small sample size of the published studies with conflicting results highlight the need for a larger multicentered randomized study with hard clinical end points to evaluate the optimal surveillance strategy for both fistula and graft.

  19. Concepts of combinatorial optimization

    CERN Document Server

    Paschos, Vangelis Th

    2014-01-01

    Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.  The three volumes of the Combinatorial Optimization series aim to cover a wide range  of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization.Concepts of Combinatorial Optimization, is divided into three parts:- On the complexity of combinatorial optimization problems, presenting basics about worst-case and randomi

  20. Introduction to Continuous Optimization

    DEFF Research Database (Denmark)

    Andreasson, Niclas; Evgrafov, Anton; Patriksson, Michael

    optimal solutions for continuous optimization models. The main part of the mathematical material therefore concerns the analysis and linear algebra that underlie the workings of convexity and duality, and necessary/sufficient local/global optimality conditions for continuous optimization problems. Natural...... algorithms are then developed from these optimality conditions, and their most important convergence characteristics are analyzed. The book answers many more questions of the form “Why?” and “Why not?” than “How?”. We use only elementary mathematics in the development of the book, yet are rigorous throughout...

  1. Optimization theory with applications

    CERN Document Server

    Pierre, Donald A

    1987-01-01

    Optimization principles are of undisputed importance in modern design and system operation. They can be used for many purposes: optimal design of systems, optimal operation of systems, determination of performance limitations of systems, or simply the solution of sets of equations. While most books on optimization are limited to essentially one approach, this volume offers a broad spectrum of approaches, with emphasis on basic techniques from both classical and modern work.After an introductory chapter introducing those system concepts that prevail throughout optimization problems of all typ

  2. PARAMETER COORDINATION AND ROBUST OPTIMIZATION FOR MULTIDISCIPLINARY DESIGN

    Institute of Scientific and Technical Information of China (English)

    HU Jie; PENG Yinghong; XIONG Guangleng

    2006-01-01

    A new parameter coordination and robust optimization approach for multidisciplinary design is presented. Firstly, the constraints network model is established to support engineering change, coordination and optimization. In this model, interval boxes are adopted to describe the uncertainty of design parameters quantitatively to enhance the design robustness. Secondly, the parameter coordination method is presented to solve the constraints network model, monitor the potential conflicts due to engineering changes, and obtain the consistency solution space corresponding to the given product specifications. Finally, the robust parameter optimization model is established, and genetic arithmetic is used to obtain the robust optimization parameter. An example of bogie design is analyzed to show the scheme to be effective.

  3. 3D geodetic monitoring slope deformations

    Directory of Open Access Journals (Sweden)

    Weiss Gabriel

    1996-06-01

    Full Text Available For plenty of slope failures that can be found in Slovakia is necessary and very important their geodetic monitoring (because of their activity, reactivisations, checks. The paper gives new methodologies for these works, using 3D terrestrial survey technologies for measurements in convenient deformation networks. The design of an optimal type of deformation model for various kinds of landslides and their exact processing with an efficient testing procedure to determine the kinematics of the slope deformations are presented too.

  4. Particle Swarm Optimization

    Science.gov (United States)

    Venter, Gerhard; Sobieszczanski-Sobieski Jaroslaw

    2002-01-01

    The purpose of this paper is to show how the search algorithm known as particle swarm optimization performs. Here, particle swarm optimization is applied to structural design problems, but the method has a much wider range of possible applications. The paper's new contributions are improvements to the particle swarm optimization algorithm and conclusions and recommendations as to the utility of the algorithm, Results of numerical experiments for both continuous and discrete applications are presented in the paper. The results indicate that the particle swarm optimization algorithm does locate the constrained minimum design in continuous applications with very good precision, albeit at a much higher computational cost than that of a typical gradient based optimizer. However, the true potential of particle swarm optimization is primarily in applications with discrete and/or discontinuous functions and variables. Additionally, particle swarm optimization has the potential of efficient computation with very large numbers of concurrently operating processors.

  5. Integrated controls design optimization

    Science.gov (United States)

    Lou, Xinsheng; Neuschaefer, Carl H.

    2015-09-01

    A control system (207) for optimizing a chemical looping process of a power plant includes an optimizer (420), an income algorithm (230) and a cost algorithm (225) and a chemical looping process models. The process models are used to predict the process outputs from process input variables. Some of the process in puts and output variables are related to the income of the plant; and some others are related to the cost of the plant operations. The income algorithm (230) provides an income input to the optimizer (420) based on a plurality of input parameters (215) of the power plant. The cost algorithm (225) provides a cost input to the optimizer (420) based on a plurality of output parameters (220) of the power plant. The optimizer (420) determines an optimized operating parameter solution based on at least one of the income input and the cost input, and supplies the optimized operating parameter solution to the power plant.

  6. Evolutionary constrained optimization

    CERN Document Server

    Deb, Kalyanmoy

    2015-01-01

    This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful...

  7. Interactive Topology Optimization

    DEFF Research Database (Denmark)

    Nobel-Jørgensen, Morten

    software where the users are assumed to be well-educated both in the finite element method and topology optimization. This dissertation describes how various topology optimization methods have been used for creating cross-platform applications with high performance. The user interface design is based......Interactivity is the continuous interaction between the user and the application to solve a task. Topology optimization is the optimization of structures in order to improve stiffness or other objectives. The goal of the thesis is to explore how topology optimization can be used in applications...... in an interactive and intuitive way. By creating such applications with an intuitive and simple user interface we allow non-engineers like designers and architects to easily experiment with boundary conditions, design domains and other optimization settings. This is in contrast to commercial topology optimization...

  8. Sky monitoring with LOBSTER

    Science.gov (United States)

    Hudec, R.; Tichy, V.

    2014-12-01

    The X--ray sky monitoring represents valuable energy spectral extension to optical sky monitoring. Lobster--Eye all--sky monitors are able to provide relatively high sensitivity and good time resolution in the soft X--ray energy range up to 10 keV. The fine time resolution can be used to alert optical robotic telescopes for follow--up and multispectral analyzes in the visible light.

  9. Loads Monitoring and Hums

    Science.gov (United States)

    2001-03-01

    Strain Measurement Fibre Optic Strain Temperature Pressure Crack Gage Crack Growth Accelerometer C.G. or Local Acceleration, Vibration, Buffet Pressure...Fig. 3.3-3 Zone 4 sensor location and results 1-15 A different method of monitoring structural health is shown in Fig. 3.3-4, a fibre optic array...Computer System Fig. 3.3-4 Fibre Optic monitoring array embedded in structure The two major tasks of structural health monitoring: Identification of

  10. Implantable sensors for heart failure monitoring

    Directory of Open Access Journals (Sweden)

    P. Shasha Liu

    2013-12-01

    Implantable sensors in the CRT device offer a unique opportunity for continuous monitoring of a patient's clinical HF status by measuring cardiac rhythm, intracardiac pressures, cardiac events, and physical activity, as well as detecting any device malfunction. Detecting early signs of a deteriorating clinical condition allows prompt preemptive medical intervention to optimize HF management. As a result, not only healthcare professionals will benefit from a reduction in hospitalizations and routine in-office follow-ups, but also patients will benefit from efficient management of their HF. This review highlights the latest available device-based remote monitoring systems and the most up-to-date evidence for the use of remote monitoring in CRT.

  11. Atmospheric Monitoring for the MAGIC Telescopes

    CERN Document Server

    Gaug, M; Dorner, D; Doro, M; Font, Ll; Fruck, C; Garczarczyk, M; Garrido, D; Hrupec, D; Hose, J; López-Oramas, A; Maneva, G; Martinez, M; Mirzoyan, R; Temnikov, P; Zanin, R

    2014-01-01

    The monitoring of the atmosphere is very relevant for Imaging Atmospheric Cherenkov Telescopes. Adverse weather conditions (strong wind, high humidity, etc.) may damage the telescopes and must therefore be monitored continuously to guarantee a safe operation, and the presence of clouds and aerosols affects the transmission of the Cherenkov light and consequently the performance of the telescopes. The ATmospheric CAlibration (ATCA) technical working group of the MAGIC collaboration aims to cover all aspects related to atmosphere monitoring and calibration. In this paper we give an overview of the ATCA goals and activities, which include the set-up and maintenance of appropriate instrumentation, proper analysis of its data, the realization of MC studies, and the correction of real data taken under non-optimal atmospheric conditions. The final goal is to reduce the systematic uncertainties in the determination of the $\\gamma$-ray flux and energy, and to increase the duty cycle of the telescopes by establishing o...

  12. Physiologic Status Monitoring via the Gastrointestinal Tract.

    Science.gov (United States)

    Traverso, G; Ciccarelli, G; Schwartz, S; Hughes, T; Boettcher, T; Barman, R; Langer, R; Swiston, A

    2015-01-01

    Reliable, real-time heart and respiratory rates are key vital signs used in evaluating the physiological status in many clinical and non-clinical settings. Measuring these vital signs generally requires superficial attachment of physically or logistically obtrusive sensors to subjects that may result in skin irritation or adversely influence subject performance. Given the broad acceptance of ingestible electronics, we developed an approach that enables vital sign monitoring internally from the gastrointestinal tract. Here we report initial proof-of-concept large animal (porcine) experiments and a robust processing algorithm that demonstrates the feasibility of this approach. Implementing vital sign monitoring as a stand-alone technology or in conjunction with other ingestible devices has the capacity to significantly aid telemedicine, optimize performance monitoring of athletes, military service members, and first-responders, as well as provide a facile method for rapid clinical evaluation and triage.

  13. Monitoring of radiation exposure

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-02-01

    The guide specifies the requirements for the monitoring of radiation exposure in instances where radiation is used. In addition to workers, the guide covers students, apprentices and visitors. The guide shall also apply to exposure from natural radiation. However, the monitoring of radiation exposure in nuclear power plants is dealt with in YVL Guide 7.10 and 7.11. The guide defines the concepts relevant to the monitoring of radiation exposure and provides guidelines for determining the necessity of monitoring and subsequently arranging such in different operations. In addition, the guide specifies the criteria for the approval and regulatory control of the dosimetric service.

  14. Monitoring of radiation exposure

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-02-01

    The guide specifies the requirements for the monitoring of radiation exposure in instances where radiation is used. In addition to workers, the guide covers students, apprentices and visitors. The guide shall also apply to exposure from natural radiation. However, the monitoring of radiation exposure in nuclear power plants is dealt with in YVL Guide 7.10 and 7.11. The guide defines the concepts relevant to the monitoring of radiation exposure and provides guidelines for determining the necessity of monitoring and subsequently arranging such in different operations. In addition, the guide specifies the criteria for the approval and regulatory control of the dosimetric service.

  15. Environmental monitoring plan

    Energy Technology Data Exchange (ETDEWEB)

    Holland, R.C.

    1997-02-01

    This Environmental Monitoring Plan was written to fulfill the requirements of Department of Energy (DOE) Order 5400.1 and DOE Environmental Regulatory Guide DOE/EH 0173T. This Plan documents the background, organizational structure, and methods used for effluent monitoring and environmental surveillance at Sandia National Laboratories/California. The design, rationale, and historical results of the environmental monitoring system are discussed in detail. Throughout the Plan, recommendations for improvements to the monitoring system are made. 52 refs., 10 figs., 12 tabs.

  16. Remote Maintenance Monitoring System -

    Data.gov (United States)

    Department of Transportation — The Remote Maintenance and Monitoring System (RMMS) is a collection of subsystems that includes telecommunication components, hardware, and software, which serve to...

  17. Aerospace Systems Monitor Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Proposal Title: Aerospace Systems Monitor PHASE 1 Technical Abstract: This Phase II STTR project will continue development and commercialization of the Aerospace...

  18. Network Monitoring with Nagios

    CERN Document Server

    Dondich, Taylor

    2006-01-01

    Network monitoring can be a complex task to implement and maintain in your IT infrastructure. Nagios, an open-source host, service and network monitoring program can help you streamline your network monitoring tasks and reduce the cost of operation.With this shortcut guide, we'll go over how Nagios fits in the overall network monitoring puzzle. We'll also cover installation and basic usage. Finally, we'll show you how to extend Nagios with other tools to extend functionality.

  19. Intrinsic optimization using stochastic nanomagnets

    Science.gov (United States)

    Sutton, Brian; Camsari, Kerem Yunus; Behin-Aein, Behtash; Datta, Supriyo

    2017-01-01

    This paper draws attention to a hardware system which can be engineered so that its intrinsic physics is described by the generalized Ising model and can encode the solution to many important NP-hard problems as its ground state. The basic constituents are stochastic nanomagnets which switch randomly between the ±1 Ising states and can be monitored continuously with standard electronics. Their mutual interactions can be short or long range, and their strengths can be reconfigured as needed to solve specific problems and to anneal the system at room temperature. The natural laws of statistical mechanics guide the network of stochastic nanomagnets at GHz speeds through the collective states with an emphasis on the low energy states that represent optimal solutions. As proof-of-concept, we present simulation results for standard NP-complete examples including a 16-city traveling salesman problem using experimentally benchmarked models for spin-transfer torque driven stochastic nanomagnets. PMID:28295053

  20. The Brewing Process: Optimizing the Fermentation

    Directory of Open Access Journals (Sweden)

    Teodora Coldea

    2014-11-01

    Full Text Available Beer is a carbonated alcoholic beverage obtained by alcoholic fermentation of malt wort boiled with hops. Brown beer obtained at Beer Pilot Station of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca was the result of a recipe based on blond, caramel and black malt in different proportions, water, hops and yeast. This study aimed to monitorize the evolution of wort in primary and secondary alcoholic fermentation in order to optimize the process. Two wort batches were assambled in order to increase the brewing yeast fermentation performance. The primary fermentation was 14 days, followed by another 14 days of secondary fermentation (maturation. The must fermentation monitoring was done by the automatic FermentoStar analyzer. The whole fermentation process was monitorized (temperature, pH, alcohol concentration, apparent and total wort extract.

  1. Simulation of monitoring strategies for atrial arrhythmia detection

    Directory of Open Access Journals (Sweden)

    Federica Censi

    2013-06-01

    Full Text Available INTRODUCTION: The current external monitoring strategies used to detect atrial fibrillation (AF and atrial tachycardia (AT episodes are based either on transient periods of short-term ECG recordings or on infrequent period of long-term continuous monitoring. The aim of this study was to investigate the ability of short-term daily ECG monitoring strategies for the detection of AF events. METHODS AND MATERIALS: The investigation was based on simulations performed on data extracted from Burden II study (patients implanted with pacemaker for brady-tachy syndrome, reporting date, time and duration of each episodes. RESULTS AND CONCLUSIONS: We found that a short-term daily temporally-optimized ECG monitoring allows to detect a higher percentage of episodes than 1-day Holter monitoring and to be at least as effective as a 7-days monitoring.

  2. NOAA Satellite Based Real Time Forest Fire Monitoring System for Russia and North Asian Region

    OpenAIRE

    Kalpoma,Kazi A. / Kawano,Koichi / Kudoh,Jun-ichi; / カワノ,コウイチ / クドウ,ジュンイチ

    2007-01-01

    Forest fires cause severe damages to natural resources and human lives all over the world. Though a lot of forest fires occur in Russia and North Asia every year, there is no system available that monitors forest fire in real time processing. However the MODIS Land Rapid Response System provides near-real time fire observations globally, currently forest fire monitoring techniques are not efficient enough to optimally monitor this disaster. For a real-time forest fire monitor system an effici...

  3. Neuro-optimal control of helicopter UAVs

    Science.gov (United States)

    Nodland, David; Ghosh, Arpita; Zargarzadeh, H.; Jagannathan, S.

    2011-05-01

    Helicopter UAVs can be extensively used for military missions as well as in civil operations, ranging from multirole combat support and search and rescue, to border surveillance and forest fire monitoring. Helicopter UAVs are underactuated nonlinear mechanical systems with correspondingly challenging controller designs. This paper presents an optimal controller design for the regulation and vertical tracking of an underactuated helicopter using an adaptive critic neural network framework. The online approximator-based controller learns the infinite-horizon continuous-time Hamilton-Jacobi-Bellman (HJB) equation and then calculates the corresponding optimal control input that minimizes the HJB equation forward-in-time. In the proposed technique, optimal regulation and vertical tracking is accomplished by a single neural network (NN) with a second NN necessary for the virtual controller. Both of the NNs are tuned online using novel weight update laws. Simulation results are included to demonstrate the effectiveness of the proposed control design in hovering applications.

  4. On Validating Boolean Optimizers

    CERN Document Server

    Morgado, Antonio

    2011-01-01

    Boolean optimization finds a wide range of application domains, that motivated a number of different organizations of Boolean optimizers since the mid 90s. Some of the most successful approaches are based on iterative calls to an NP oracle, using either linear search, binary search or the identification of unsatisfiable sub-formulas. The increasing use of Boolean optimizers in practical settings raises the question of confidence in computed results. For example, the issue of confidence is paramount in safety critical settings. One way of increasing the confidence of the results computed by Boolean optimizers is to develop techniques for validating the results. Recent work studied the validation of Boolean optimizers based on branch-and-bound search. This paper complements existing work, and develops methods for validating Boolean optimizers that are based on iterative calls to an NP oracle. This entails implementing solutions for validating both satisfiable and unsatisfiable answers from the NP oracle. The wo...

  5. Workshop on Computational Optimization

    CERN Document Server

    2015-01-01

    Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2013. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, resource constrained project scheduling, problems arising in transport services, error correcting codes, optimal system performance and energy consumption and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others.

  6. Homotopy optimization methods for global optimization.

    Energy Technology Data Exchange (ETDEWEB)

    Dunlavy, Daniel M.; O' Leary, Dianne P. (University of Maryland, College Park, MD)

    2005-12-01

    We define a new method for global optimization, the Homotopy Optimization Method (HOM). This method differs from previous homotopy and continuation methods in that its aim is to find a minimizer for each of a set of values of the homotopy parameter, rather than to follow a path of minimizers. We define a second method, called HOPE, by allowing HOM to follow an ensemble of points obtained by perturbation of previous ones. We relate this new method to standard methods such as simulated annealing and show under what circumstances it is superior. We present results of extensive numerical experiments demonstrating performance of HOM and HOPE.

  7. Optimization and approximation

    CERN Document Server

    Pedregal, Pablo

    2017-01-01

    This book provides a basic, initial resource, introducing science and engineering students to the field of optimization. It covers three main areas: mathematical programming, calculus of variations and optimal control, highlighting the ideas and concepts and offering insights into the importance of optimality conditions in each area. It also systematically presents affordable approximation methods. Exercises at various levels have been included to support the learning process.

  8. Topology optimized microbioreactors

    DEFF Research Database (Denmark)

    Schäpper, Daniel; Lencastre Fernandes, Rita; Eliasson Lantz, Anna

    2011-01-01

    . Topology optimization is then used to change the spatial distribution of cells in the reactor in order to optimize for maximal product flow out of the reactor. This distribution accounts for potentially negative effects of, for example, by-product inhibition. We show that the theoretical improvement...... in productivity is at least fivefold compared with the homogeneous reactor. The improvements obtained by applying topology optimization are largest where either nutrition is scarce or inhibition effects are pronounced....

  9. Topics in Nonconvex Optimization

    CERN Document Server

    Mishra, Shashi Kant

    2011-01-01

    Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including engineering, mathematical economics, management science, financial engineering, and social science. This contributed volume consists of selected contributions from the Advanced Training Programme on Nonconvex Optimization and Its Applications he

  10. POSTDOC : THE HUMAN OPTIMIZATION

    OpenAIRE

    Satish Gajawada

    2013-01-01

    This paper is dedicated to everyone who is interested in the Artificial Intelligence. John Henry Holland proposed Genetic Algorithm in the early 1970s. Ant Colony Optimization was proposed by Marco Dorigo in 1992. Particle Swarm Optimization was introduced by Kennedy and Eberhart in 1995. Storn and Price introduced Differential Evolution in 1996. K.M. Passino introduced Bacterial Foraging Optimization Algorithm in 2002. In 2003, X.L. Li proposed Artificial Fish Swarm Algorithm....

  11. Frequencies of decision making and monitoring in adaptive resource management

    Science.gov (United States)

    Williams, Byron K.; Johnson, Fred A.

    2017-01-01

    Adaptive management involves learning-oriented decision making in the presence of uncertainty about the responses of a resource system to management. It is implemented through an iterative sequence of decision making, monitoring and assessment of system responses, and incorporating what is learned into future decision making. Decision making at each point is informed by a value or objective function, for example total harvest anticipated over some time frame. The value function expresses the value associated with decisions, and it is influenced by system status as updated through monitoring. Often, decision making follows shortly after a monitoring event. However, it is certainly possible for the cadence of decision making to differ from that of monitoring. In this paper we consider different combinations of annual and biennial decision making, along with annual and biennial monitoring. With biennial decision making decisions are changed only every other year; with biennial monitoring field data are collected only every other year. Different cadences of decision making combine with annual and biennial monitoring to define 4 scenarios. Under each scenario we describe optimal valuations for active and passive adaptive decision making. We highlight patterns in valuation among scenarios, depending on the occurrence of monitoring and decision making events. Differences between years are tied to the fact that every other year a new decision can be made no matter what the scenario, and state information is available to inform that decision. In the subsequent year, however, in 3 of the 4 scenarios either a decision is repeated or monitoring does not occur (or both). There are substantive differences in optimal values among the scenarios, as well as the optimal policies producing those values. Especially noteworthy is the influence of monitoring cadence on valuation in some years. We highlight patterns in policy and valuation among the scenarios, and discuss management

  12. Optimization : insights and applications

    CERN Document Server

    Brinkhuis, Jan

    2005-01-01

    This self-contained textbook is an informal introduction to optimization through the use of numerous illustrations and applications. The focus is on analytically solving optimization problems with a finite number of continuous variables. In addition, the authors provide introductions to classical and modern numerical methods of optimization and to dynamic optimization. The book's overarching point is that most problems may be solved by the direct application of the theorems of Fermat, Lagrange, and Weierstrass. The authors show how the intuition for each of the theoretical results can be s

  13. Integer and combinatorial optimization

    CERN Document Server

    Nemhauser, George L

    1999-01-01

    Rave reviews for INTEGER AND COMBINATORIAL OPTIMIZATION ""This book provides an excellent introduction and survey of traditional fields of combinatorial optimization . . . It is indeed one of the best and most complete texts on combinatorial optimization . . . available. [And] with more than 700 entries, [it] has quite an exhaustive reference list.""-Optima ""A unifying approach to optimization problems is to formulate them like linear programming problems, while restricting some or all of the variables to the integers. This book is an encyclopedic resource for such f

  14. Sequential stochastic optimization

    CERN Document Server

    Cairoli, Renzo

    1996-01-01

    Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic optimization problems can be formulated and solved. Offering much material that is either new or has never before appeared in book form, it lucidly presents a unified theory of optimal stopping and optimal sequential control of stochastic processes. This book has been carefully organized so that little prior knowledge of the subject is assumed; its only prerequisites are a standard graduate course in probability theory and some familiarity with discrete-paramet

  15. Optimization under Uncertainty

    KAUST Repository

    Lopez, Rafael H.

    2016-01-06

    The goal of this poster is to present the main approaches to optimization of engineering systems in the presence of uncertainties. We begin by giving an insight about robust optimization. Next, we detail how to deal with probabilistic constraints in optimization, the so called the reliability based design. Subsequently, we present the risk optimization approach, which includes the expected costs of failure in the objective function. After that the basic description of each approach is given, the projects developed by CORE are presented. Finally, the main current topic of research of CORE is described.

  16. Control and optimization system

    Science.gov (United States)

    Xinsheng, Lou

    2013-02-12

    A system for optimizing a power plant includes a chemical loop having an input for receiving an input parameter (270) and an output for outputting an output parameter (280), a control system operably connected to the chemical loop and having a multiple controller part (230) comprising a model-free controller. The control system receives the output parameter (280), optimizes the input parameter (270) based on the received output parameter (280), and outputs an optimized input parameter (270) to the input of the chemical loop to control a process of the chemical loop in an optimized manner.

  17. MULTIDISCIPLINARY ROBUST OPTIMIZATION DESIGN

    Institute of Scientific and Technical Information of China (English)

    Chen Jianjiang; Xiao Renbin; Zhong Yifang; Dou Gang

    2005-01-01

    Because uncertainty factors inevitably exist under multidisciplinary design environment, a hierarchical multidisciplinary robust optimization design based on response surface is proposed. The method constructs optimization model of subsystem level and system level to coordinate the coupling among subsystems, and also the response surface based on the artificial neural network is introduced to provide information for system level optimization tool to maintain the independence of subsystems,i.e. to realize multidisciplinary parallel design. The application case of electrical packaging demonstrates that reasonable robust optimum solution can be yielded and it is a potential and efficient multidisciplinary robust optimization approach.

  18. Optimal Recurrence Grammars

    CERN Document Server

    Graben, Peter beim; Fröhlich, Flavio

    2015-01-01

    We optimally estimate the recurrence structure of a multivariate time series by Markov chains obtained from recurrence grammars. The goodness of fit is assessed with a utility function derived from the stochastic Markov transition matrix. It assumes a local maximum for the distance threshold of the optimal recurrence grammar. We validate our approach by means of the nonlinear Lorenz system and its linearized stochastic surrogates. Finally we apply our optimization procedure to the segmentation of neurophysiological time series obtained from anesthetized animals. We propose the number of optimal recurrence domains as a statistic for classifying an animals' state of consciousness.

  19. OPTIMAL DELAUNAY TRIANGULATIONS

    Institute of Scientific and Technical Information of China (English)

    Long Chen; Jin-chao Xu

    2004-01-01

    The Delaunay triangulation, in both classic and more generalized sense, is studied in this paper for minimizing the linear interpolation error (measure in Lp-norm) for a given function. The classic Delaunay triangulation can then be characterized as an optimal triangulation that minimizes the interpolation error for the isotropic function ‖x‖2 among all the triangulations with a given set of vertices. For a more general function, a functiondependent Delaunay triangulation is then defined to be an optimal triangulation that minimizes the interpolation error for this .function and its construction can be obtained by a simple lifting and projection procedure.The optimal Delaunay triangulation is the one that minimizes the interpolation error among all triangulations with the same number of vertices, i.e. the distribution of vertices are optimized in order to minimize the interpolation error. Such a function-dependent optimal Delaunay triangulation is proved to exist for any given convex continuous function.On an optimal Delaunay triangulation associated with f, it is proved that ▽f at the interior vertices can be exactly recovered by the function values on its neighboring vertices.Since the optimal Delaunay triangulation is difficult to obtain in practice, the concept of nearly optimal triangulation is introduced and two sufficient conditions are presented for a triangulation to be nearly optimal.

  20. Deterministic Global Optimization

    CERN Document Server

    Scholz, Daniel

    2012-01-01

    This monograph deals with a general class of solution approaches in deterministic global optimization, namely the geometric branch-and-bound methods which are popular algorithms, for instance, in Lipschitzian optimization, d.c. programming, and interval analysis.It also introduces a new concept for the rate of convergence and analyzes several bounding operations reported in the literature, from the theoretical as well as from the empirical point of view. Furthermore, extensions of the prototype algorithm for multicriteria global optimization problems as well as mixed combinatorial optimization

  1. Stochastic optimization methods

    CERN Document Server

    Marti, Kurt

    2008-01-01

    Optimization problems arising in practice involve random model parameters. This book features many illustrations, several examples, and applications to concrete problems from engineering and operations research.

  2. Water Quality Monitoring Manual.

    Science.gov (United States)

    Mason, Fred J.; Houdart, Joseph F.

    This manual is designed for students involved in environmental education programs dealing with water pollution problems. By establishing a network of Environmental Monitoring Stations within the educational system, four steps toward the prevention, control, and abatement of water pollution are proposed. (1) Train students to recognize, monitor,…

  3. Improved Marine Waters Monitoring

    Science.gov (United States)

    Palazov, Atanas; Yakushev, Evgeniy; Milkova, Tanya; Slabakova, Violeta; Hristova, Ognyana

    2017-04-01

    IMAMO - Improved Marine Waters Monitoring is a project under the Programme BG02: Improved monitoring of marine waters, managed by Bulgarian Ministry of environment and waters and co-financed by the Financial Mechanism of the European Economic Area (EEA FM) 2009 - 2014. Project Beneficiary is the Institute of oceanology - Bulgarian Academy of Sciences with two partners: Norwegian Institute for Water Research and Bulgarian Black Sea Basin Directorate. The Project aims to improve the monitoring capacity and expertise of the organizations responsible for marine waters monitoring in Bulgaria to meet the requirements of EU and national legislation. The main outcomes are to fill the gaps in information from the Initial assessment of the marine environment and to collect data to assess the current ecological status of marine waters including information as a base for revision of ecological targets established by the monitoring programme prepared in 2014 under Art. 11 of MSFD. Project activities are targeted to ensure data for Descriptors 5, 8 and 9. IMAMO aims to increase the institutional capacity of the Bulgarian partners related to the monitoring and assessment of the Black Sea environment. The main outputs are: establishment of real time monitoring and set up of accredited laboratory facilities for marine waters and sediments chemical analysis to ensure the ability of Bulgarian partners to monitor progress of subsequent measures undertaken.

  4. Strategic Tutor Monitoring.

    Science.gov (United States)

    Chee-kwong, Kenneth Chao

    1996-01-01

    Discusses effective tutor monitoring strategies based on experiences at the Open Learning Institute of Hong Kong. Highlights include key performance and strategic control points; situational factors, including tutor expectations and relevant culture; Theory X versus Theory Y leadership theories; and monitoring relationships with tutors. (LRW)

  5. Strategic Tutor Monitoring.

    Science.gov (United States)

    Chee-kwong, Kenneth Chao

    1996-01-01

    Discusses effective tutor monitoring strategies based on experiences at the Open Learning Institute of Hong Kong. Highlights include key performance and strategic control points; situational factors, including tutor expectations and relevant culture; Theory X versus Theory Y leadership theories; and monitoring relationships with tutors. (LRW)

  6. Mariene monitoring & Natura 2000

    NARCIS (Netherlands)

    Paijmans, A.J.; Asjes, J.

    2012-01-01

    IMARES heeft in opdracht van het ministerie van EL&I een rapport opgesteld over de eisen die de Habitatrichtlijn en de Vogelrichtlijn stellen ten aanzien van de monitoring in de Nederlandse zoute wateren. Vervolgens is geanalyseerd waar de huidige monitoring die wordt uitgevoerd voldoet aan deze

  7. Global nuclear material monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Howell, J.A.; Monlove, H.O.; Goulding, C.A.; Martinez, B.J.; Coulter, C.A.

    1997-08-01

    This is the final report of a one-year Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). This project provided a detailed systems design for advanced integrated facility monitoring and identified the components and enabling technologies required to facilitate the development of the monitoring system of the future.

  8. Facility effluent monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Gleckler, B.P.

    1995-06-01

    This section of the 1994 Hanford Site Environmental Report summarizes the facility effluent monitoring programs and provides an evaluation of effluent monitoring data. These evaluations are useful in assessing the effectiveness of effluent treatment and control systems, as well as management practices.

  9. Monitoring Evolution at CERN

    CERN Document Server

    Andrade, P; Murphy, S; Pigueiras, L; Santos, M

    2015-01-01

    Over the past two years, the operation of the CERN Data Centres went through significant changes with the introduction of new mechanisms for hardware procurement, new services for cloud provisioning and configuration management, among other improvements. These changes resulted in an increase of resources being operated in a more dynamic environment. Today, the CERN Data Centres provide over 11000 multi-core processor servers, 130 PB disk servers, 100 PB tape robots, and 150 high performance tape drives. To cope with these developments, an evolution of the data centre monitoring tools was also required. This modernisation was based on a number of guiding rules: sustain the increase of resources, adapt to the new dynamic nature of the data centres, make monitoring data easier to share, give more flexibility to Service Managers on how they publish and consume monitoring metrics and logs, establish a common repository of monitoring data, optimise the handling of monitoring notifications, and replace the previous ...

  10. Job Oriented Monitoring Clusters

    Directory of Open Access Journals (Sweden)

    Vijayalaxmi Cigala,

    2011-03-01

    Full Text Available There has been a lot of development in the field of clusters and grids. Recently, the use of clusters has been on rise in every possible field. This paper proposes a system that monitors jobs onlarge computational clusters. Monitoring jobs is essential to understand how jobs are being executed. This helps us in understanding the complete life cycle of the jobs being executed on large clusters. Also, this paper describes how the information obtained by monitoring the jobs would help in increasing the overall throughput of clusters. Heuristics help in efficient job distribution among the computational nodes, thereby accomplishing fair job distribution policy. The proposed system would be capable of loadbalancing among the computational nodes, detecting failures, taking corrective actions after failure detection, job monitoring, system resource monitoring, etc.

  11. Monitoring for conservation

    Science.gov (United States)

    Nichols, J.D.; Williams, B.K.

    2006-01-01

    Human-mediated environmental changes have resulted in appropriate concern for the conservation of ecological systems and have led to the development of many ecological monitoring programs worldwide. Many programs that are identified with the purpose of `surveillance? represent an inefficient use of conservation funds and effort. Here, we revisit the 1964 paper by Platt and argue that his recommendations about the conduct of science are equally relevant to the conduct of ecological monitoring programs. In particular, we argue that monitoring should not be viewed as a stand-alone activity, but instead as a component of a larger process of either conservation-oriented science or management. Corresponding changes in monitoring focus and design would lead to substantial increases in the efficiency and usefulness of monitoring results in conservation.

  12. Monitoring Cray Cooling Systems

    Energy Technology Data Exchange (ETDEWEB)

    Maxwell, Don E [ORNL; Ezell, Matthew A [ORNL; Becklehimer, Jeff [Cray, Inc.; Donovan, Matthew J [ORNL; Layton, Christopher C [ORNL

    2014-01-01

    While sites generally have systems in place to monitor the health of Cray computers themselves, often the cooling systems are ignored until a computer failure requires investigation into the source of the failure. The Liebert XDP units used to cool the Cray XE/XK models as well as the Cray proprietary cooling system used for the Cray XC30 models provide data useful for health monitoring. Unfortunately, this valuable information is often available only to custom solutions not accessible by a center-wide monitoring system or is simply ignored entirely. In this paper, methods and tools used to harvest the monitoring data available are discussed, and the implementation needed to integrate the data into a center-wide monitoring system at the Oak Ridge National Laboratory is provided.

  13. Dedicated monitoring and machinery protection systems on reciprocating compressors

    Energy Technology Data Exchange (ETDEWEB)

    Grande, Alvaro; Wenisch, Markus [Hoerbiger Ventilwerke GmbH and Co KG, Wien (Austria); Jacobs, Denis [HOERBIGER do Brasil Industria de Equipamentos, Cajamar, SP (Brazil)

    2012-07-01

    Growing demands on reciprocating compressors (recips) in the process gas industry require particular solutions for machinery protection and performance monitoring systems. Compared to rotating equipment, monitoring systems for recips have to consider the special mechanical and physical characteristics, such as oscillating masses, variable vibration behaviour and varying operating conditions. Furthermore, they provide valuable information about the performance of cylinder related components allowing the operator the optimization of efficiency and availability, and therefore increase production. (author)

  14. Optimal Aging and Death

    DEFF Research Database (Denmark)

    Dalgaard, Carl-Johan Lars; Strulik, Holger

    2010-01-01

    This study introduces physiological aging into a simple model of optimal intertemporal consumption. In this endeavor we draw on the natural science literature on aging. According to the purposed theory, the speed of the aging process and the time of death are endogenously determined by optimal...

  15. Optimization in power systems

    Energy Technology Data Exchange (ETDEWEB)

    Costa, Geraldo R.M. da [Sao Paulo Univ., Sao Carlos, SP (Brazil). Escola de Engenharia

    1994-12-31

    This paper discusses, partially, the advantages and the disadvantages of the optimal power flow. It shows some of the difficulties of implementation and proposes solutions. An analysis is made comparing the power flow, BIGPOWER/CESP, and the optimal power flow, FPO/SEL, developed by the author, when applied to the CEPEL-ELETRONORTE and CESP systems. (author) 8 refs., 5 tabs.

  16. Transmission Line Security Monitor: Final Report

    Energy Technology Data Exchange (ETDEWEB)

    John Svoboda

    2011-04-01

    The Electric Power Transmission Line Security Monitor System Operational Test is a project funded by the Technical Support Working Group (TSWG). TSWG operates under the Combating Terrorism Technical Support Office that functions under the Department of Defense. The Transmission Line Security Monitor System is based on technology developed by Idaho National Laboratory. The technology provides a means for real-time monitoring of physical threats and/or damage to electrical transmission line towers and conductors as well as providing operational parameters to transmission line operators to optimize transmission line operation. The end use is for monitoring long stretches of transmission lines that deliver electrical power from remote generating stations to cities and industry. These transmission lines are generally located in remote transmission line corridors where security infrastructure may not exist. Security and operational sensors in the sensor platform on the conductors take power from the transmission line and relay security and operational information to operations personnel hundreds of miles away without relying on existing infrastructure. Initiated on May 25, 2007, this project resulted in pre-production units tested in realistic operational environments during 2010. A technology licensee, Lindsey Manufacturing of Azusa California, is assisting in design, testing, and ultimately production. The platform was originally designed for a security monitoring mission, but it has been enhanced to include important operational features desired by electrical utilities.

  17. Safety system status monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Lewis, J.R.; Morgenstern, M.H.; Rideout, T.H.; Cowley, P.J.

    1984-03-01

    The Pacific Northwest Laboratory has studied the safety aspects of monitoring the preoperational status of safety systems in nuclear power plants. The goals of the study were to assess for the NRC the effectiveness of current monitoring systems and procedures, to develop near-term guidelines for reducing human errors associated with monitoring safety system status, and to recommend a regulatory position on this issue. A review of safety system status monitoring practices indicated that current systems and procedures do not adequately aid control room operators in monitoring safety system status. This is true even of some systems and procedures installed to meet existing regulatory guidelines (Regulatory Guide 1.47). In consequence, this report suggests acceptance criteria for meeting the functional requirements of an adequate system for monitoring safety system status. Also suggested are near-term guidelines that could reduce the likelihood of human errors in specific, high-priority status monitoring tasks. It is recommended that (1) Regulatory Guide 1.47 be revised to address these acceptance criteria, and (2) the revised Regulatory Guide 1.47 be applied to all plants, including those built since the issuance of the original Regulatory Guide.

  18. Monitoring that matters

    Science.gov (United States)

    Johnson, Douglas H.; Gitzen, Robert A.; Millspaugh, Joshua J.; Cooper, Andrew B.; Licht, Daniel S.

    2012-01-01

    Monitoring is a critically important activity for assessing the status of a system, such as the health of an individual, the balance in one's checking account, profits and losses of a business, the economic activity of a nation, or the size of an animal population. Monitoring is especially vital for evaluating changes in the system associated with specific known impacts occurring to the system. It is also valuable for detecting unanticipated changes in the system and identifying plausible causes of such changes, all in time to take corrective action. Before proceeding, we should define "monitoring." One definition of "monitor" (Microsoft Corporation 2009) is "to check something at regular intervals in order to find out how it is progressing or developing." The key point here is "at regular intervals," suggesting a continuing process. Some definitions do not indicate the repetitive nature of monitoring and are basically synonymous with "observing." Most monitoring, in the strict sense of the word, is intended to persist for long periods of time, perhaps indefinitely or permanently. Similarly, Thompson et al. (1998: 3) referred to the "repeated assessment of status" of something, but noted that the term "monitor" is sometimes used for analogous activities such as collecting baseline information or evaluating projects for either implementation or effectiveness. For their purposes, they restricted the term to involve repeated measurements collected at a specified frequency of time units. Let us adopt that definition, recognizing that repeated measurements imply collecting comparable information on each occasion.

  19. Switchgear condition monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Budyn, M. [ABB Corporate Research, Krakow (Poland); Karandikar, H.M.; Urmson, M.G. [ABB Inc., Lake Mary, FL (United States)

    2010-07-01

    Electric utilities strive to keep switchgear in proper condition over their long life. Medium voltage switchgear are one of the key components in electrical power systems used to distribute electrical power, selectively isolate electrical loads and protect loads from cascading failure. They generally include a combination of electrical elements such as disconnectors, fuses, circuit breakers and distribution bus bars arranged in a lineup of frames. Since switchgear distributes electrical current, heat buildup becomes an important characteristic to monitor. The most significant amount of heat dissipation is on distribution elements like bus bars. Unexpected temperature rise at a particular location may indicate corrosion or a defect. If left uncorrected, this defect could result in catastrophic failure resulting in deactivated loads and potentially hazardous conditions to personnel. Currently, switchgear bus temperature monitoring is done periodically by manual inspections using IR cameras or by fibre-optic systems. Both methods have limitations, such as inaccurate and infrequent readouts, high implementation cost and limited monitoring area. This paper presented a modern approach for condition monitoring based on passive, SAW-based, wireless sensors, reducing installation costs and enhancing monitoring by allowing measurements in previously unreachable locations. A practical implementation of the wireless condition monitoring system was illustrated as a part of a general, built-in, switchgear diagnostics and maintenance system. The use of miniature SAW sensors proved effective in monitoring breaker connectors and non-invasive installation inside the switchgear. 8 refs., 5 figs.

  20. Space weather monitoring with neutron monitor measurements

    Energy Technology Data Exchange (ETDEWEB)

    Steigies, Christian [Christian-Albrechts-Universitaet zu Kiel (Germany)

    2013-07-01

    Space Weather affects many areas of the modern society, advance knowledge about space weather events is important to protect personnel and infrastructure. Cosmic Rays (CR) measurements by ground-based Neutron Monitors are influenced by Coronal Mass Ejections (CME), the intensity of the ever present Cosmic Rays is reduced in a Forbush decrease (Fd). In the case of very energetic CMEs, the measured intensity can be significantly increased in a Ground Level Enhancement (GLE). By detecting the anisotropy of the CR environment, a CME can be detected hours before it arrives at Earth. During a GLE the high-energy particles from the Sun can be detected before the more abundant lower energy particles arrive at Earth, thus allowing to take protective measures. Since the beginning of the Neutron Monitor Database (NMDB) project, which has been started in 2008 with funding from the European Commission, real-time data from Neutron Monitors around the world has been made available through one web-portal. We have more than doubled the number of stations providing data since the start of the project to now over 30 stations. The effectiveness of the ALERT applications which are based on NMDB data has been shown by the recent GLE71. We present different applications through which the measurements and different data products are accessible.