WorldWideScience

Sample records for applying model production

  1. Shrinking core models applied to the sodium silicate production process

    Directory of Open Access Journals (Sweden)

    Stanković Mirjana S.

    2007-01-01

    Full Text Available The sodium silicate production process, with the molar ratio SiO2/Na2O = 2, for detergent zeolite 4A production, is based on quartz sand dissolving in NaOH aqueous solution, with a specific molality. It is a complex process performed at high temperature and pressure. It is of vital importance to develop adequate mathematical models, which are able to predict the dynamical response of the process parameters. A few kinetic models were developed within this study, which were adjusted and later compared to experimental results. It was assumed that SiO2 particles are smooth spheres, with uniform diameter. This diameter decreases during dissolving. The influence of particle diameter, working temperature and hydroxide ion molality on the dissolution kinetics was investigated. It was concluded that the developed models are sufficiently correct, in the engineering sense, and can be used for the dynamical prediction of process parameters.

  2. Financial modelling applied to long-horizon savings and pension products.

    OpenAIRE

    Stanghelle, Håkon

    2007-01-01

    his thesis studies financial models applied to valuation and risk measurement applicable to products in the life and pension area. Stock market theory and option pricing are described as a theoretical background. Mathematical models for simulation and pricing of financial instruments shows the history of financial mathematics and is the backbone of interest rate models and derivatives. Popular one-factor interest rate models and more complex models such as the Heath Jarrow Morton and LIBO...

  3. Mercury's geochronology revised by applying Model Production Functions to Mariner 10 data: geological implications

    CERN Document Server

    Massironi, M; Marchi, S; Martellato, M; Mottola, M; Wagner, R J

    2009-01-01

    Model Production Function chronology uses dynamic models of the Main Belt Asteroids (MBAs) and Near Earth Objects (NEOs) to derive the impactor flux to a target body. This is converted into the crater size-frequency-distribution for a specific planetary surface, and calibrated using the radiometric ages of different regions of the Moon's surface. This new approach has been applied to the crater counts on Mariner 10 images of the highlands and of several large impact basins on Mercury. MPF estimates for the plains show younger ages than those of previous chronologies. Assuming a variable uppermost layering of the Hermean crust, the age of the Caloris interior plains may be as young as 3.59 Ga, in agreement with MESSENGER results that imply that long-term volcanism overcame contractional tectonics. The MPF chronology also suggests a variable projectile flux through time, coherent with the MBAs for ancient periods and then gradually comparable also to the NEOs.

  4. Reynolds-Stress and Triple-Product Models Applied to Flows with Rotation and Curvature

    Science.gov (United States)

    Olsen, Michael E.

    2016-01-01

    Predictions for Reynolds-stress and triple product turbulence models are compared for flows with significant rotational effects. Driver spinning cylinder flowfield and Zaets rotating pipe case are to be investigated at a minimum.

  5. Applying Boolean discrete methods in the production of a real-valued probabilistic programming model

    OpenAIRE

    Nix, Jonathan Darren

    2016-01-01

    In this paper we explore the application of some notable Boolean methods, namely the Disjunctive Normal Form representation of logic table expansions, and apply them to a real-valued logic model which utilizes quantities on the range [0,1] to produce a probabilistic programming of a game character's logic in mathematical form.

  6. Network model for an integrated production system applied to the Zeit Bay field, Egypt

    Energy Technology Data Exchange (ETDEWEB)

    Abdel Waly, A.A. [King Saud University, Petroleum Engineering Department, Riyadh (Saudi Arabia); El-Massry, Y. [Suez Oil Company, Giza (Egypt); Darweesh, T.A.; El Sallaly, M. [Cairo University, Giza (Egypt)

    1996-07-20

    A network model for the Zeit Bay field in Egypt was constructed to simulate the combined performance of the reservoir, production wells, chokes, flowlines and transmitting pipelines. The integrated production network was constructed by calculating overall pressure losses with the producing layer and wells connected to the manifolds, pipelines and separator. The overall solution of pressure losses was determined by iteration of pressures and flow rates at all nodes using only the known reservoir and separator pressures. Thus, the integrated production network was treated as a single iterative model by using correlations that best simulate the performance of each component within the production system. Quantitative comparison between the network model and the actual performance was obtained. Two different methods of error analyses were used to evaluate rate differences between the network model and actual network production rates. The validity of the method is indicated by underprediction of field performance by an average of only 125 STB/D; an absolute error of about 10%

  7. The Toyota product development system applied to a design management workshop model

    DEFF Research Database (Denmark)

    Thyssen, Mikael Hygum; Emmitt, Stephen; Bonke, Sten;

    2008-01-01

    Within a lean framework the goal is to enhance productivity by maximizing client value and minimizing waste known as muda. In the construction industry focus has mainly been on minimizing waste within the construction site production process. However, research has shown that a great amount of the...... reports the early findings of a research project which aims to develop a workshop method for lean design management in construction through a deeper understanding of the Toyota product development system (TPDS) and value theory in general. Results from a case-study will be presented and a theoretical...... comparison of the workshop model with lean principles will lead to proposals for further develop-ment of the workshop approach to design management....

  8. Agents Modeling Experience Applied To Control Of Semi-Continuous Production Process

    Directory of Open Access Journals (Sweden)

    Gabriel Rojek

    2014-01-01

    Full Text Available The lack of proper analytical models of some production processes prevents us from obtaining proper values of process parameters by simply computing optimal values. Possible solutions of control problems in such areas of industrial processes can be found using certain methods from the domain of artificial intelligence: neural networks, fuzzy logic, expert systems, or evolutionary algorithms. Presented in this work, a solution to such a control problem is an alternative approach that combines control of the industrial process with learning based on production results. By formulating the main assumptions of the proposed methodology, decision processes of a human operator using his experience are taken into consideration. The researched model of using and gathering experience of human beings is designed with the contribution of agent technology. The presented solution of the control problem coincides with case-based reasoning (CBR methodology.

  9. Applying Neural Network to Dynamic Modeling of Biosurfactant Production Using Soybean Oil Refinery Wastes

    Directory of Open Access Journals (Sweden)

    Shokoufe Tayyebi

    2013-01-01

    Full Text Available Biosurfactants are surface active compounds produced by various microorganisms. Production of biosurfactants via fermentation of immiscible wastes has the dual benefit of creating economic opportunities for manufacturers, while improving environmental health. A predictor system, recommended in such processes, must be scaled-up. Hence, four neural networks were developed for the dynamic modeling of the biosurfactant production kinetics, in presence of soybean oil or refinery wastes including acid oil, deodorizer distillate and soap stock. Each proposed feed forward neural network consists of three layers which are not fully connected. The input and output data for the training and validation of the neural network models were gathered from batch fermentation experiments. The proposed neural network models were evaluated by three statistical criteria (R2, RMSE and SE. The typical regression analysis showed high correlation coefficients greater than 0.971, demonstrating that the neural network is an excellent estimator for prediction of biosurfactant production kinetic data in a two phase liquid-liquid batch fermentation system. In addition, sensitivity analysis indicates that residual oil has the significant effect (i.e. 49% on the biosurfactant in the process.

  10. Optimization of grapevine yield by applying mathematical models to obtain quality wine products

    Science.gov (United States)

    Alina, Dobrei; Alin, Dobrei; Eleonora, Nistor; Teodor, Cristea; Marius, Boldea; Florin, Sala

    2016-06-01

    Relationship between the crop load and the grape yield and quality is a dynamic process, specific for wine cultivars and for fresh consumption varieties. Modeling these relations is important for the improvement of technological works. This study evaluated the interrelationship of crop load (B - buds number) and several production parameters (Y - yield; S - sugar; A - acidity; GaI - Glucoacidimetric index; AP - alcoholic potential; F - flavorings, WA - wine alcohol; SR - sugar residue, in Muscat Ottonel wine cultivar and Y - yield; S - sugar; A - acidity; GaI - Glucoacidimetric Index; CP - commercial production; BS - berries size in the Victoria table grape cultivar). In both varieties have been identified correlations between the independent variable (B - buds number as a result of pruning and training practices) and quality parameters analyzed (r = -0.699 for B vsY relationship; r = 0.961 for the relationship B vs S; r = -0.959 for B vs AP relationship; r = 0.743 for the relationship Y vs S, p cultivar, respectively r = -0.907 for relationship B vs Y; r = -0.975 for B vs CP relationship; r = -0.971 for relationship B vs BS; r = 0.990 for CP vs BS relationship in the Victoria cultivar. Through regression analysis were obtained models that describe the variation concerning production and quality parameters in relation to the independent variable (B - buds number) with statistical significance results.

  11. Optimization of grapevine yield by applying mathematical models to obtain quality wine products

    Science.gov (United States)

    Alina, Dobrei; Alin, Dobrei; Eleonora, Nistor; Teodor, Cristea; Marius, Boldea; Florin, Sala

    2016-06-01

    Relationship between the crop load and the grape yield and quality is a dynamic process, specific for wine cultivars and for fresh consumption varieties. Modeling these relations is important for the improvement of technological works. This study evaluated the interrelationship of crop load (B - buds number) and several production parameters (Y - yield; S - sugar; A - acidity; GaI - Glucoacidimetric index; AP - alcoholic potential; F - flavorings, WA - wine alcohol; SR - sugar residue, in Muscat Ottonel wine cultivar and Y - yield; S - sugar; A - acidity; GaI - Glucoacidimetric Index; CP - commercial production; BS - berries size in the Victoria table grape cultivar). In both varieties have been identified correlations between the independent variable (B - buds number as a result of pruning and training practices) and quality parameters analyzed (r = -0.699 for B vsY relationship; r = 0.961 for the relationship B vs S; r = -0.959 for B vs AP relationship; r = 0.743 for the relationship Y vs S, p r = -0.907 for relationship B vs Y; r = -0.975 for B vs CP relationship; r = -0.971 for relationship B vs BS; r = 0.990 for CP vs BS relationship in the Victoria cultivar. Through regression analysis were obtained models that describe the variation concerning production and quality parameters in relation to the independent variable (B - buds number) with statistical significance results.

  12. Applying complex models to poultry production in the future--economics and biology.

    Science.gov (United States)

    Talpaz, H; Cohen, M; Fancher, B; Halley, J

    2013-09-01

    The ability to determine the optimal broiler feed nutrient density that maximizes margin over feeding cost (MOFC) has obvious economic value. To determine optimal feed nutrient density, one must consider ingredient prices, meat values, the product mix being marketed, and the projected biological performance. A series of 8 feeding trials was conducted to estimate biological responses to changes in ME and amino acid (AA) density. Eight different genotypes of sex-separate reared broilers were fed diets varying in ME (2,723-3,386 kcal of ME/kg) and AA (0.89-1.65% digestible lysine with all essential AA acids being indexed to lysine) levels. Broilers were processed to determine carcass component yield at many different BW (1.09-4.70 kg). Trial data generated were used in model constructed to discover the dietary levels of ME and AA that maximize MOFC on a per broiler or per broiler annualized basis (bird × number of cycles/year). The model was designed to estimate the effects of dietary nutrient concentration on broiler live weight, feed conversion, mortality, and carcass component yield. Estimated coefficients from the step-wise regression process are subsequently used to predict the optimal ME and AA concentrations that maximize MOFC. The effects of changing feed or meat prices across a wide spectrum on optimal ME and AA levels can be evaluated via parametric analysis. The model can rapidly compare both biological and economic implications of changing from current practice to the simulated optimal solution. The model can be exploited to enhance decision making under volatile market conditions. PMID:23960140

  13. Applied impulsive mathematical models

    CERN Document Server

    Stamova, Ivanka

    2016-01-01

    Using the theory of impulsive differential equations, this book focuses on mathematical models which reflect current research in biology, population dynamics, neural networks and economics. The authors provide the basic background from the fundamental theory and give a systematic exposition of recent results related to the qualitative analysis of impulsive mathematical models. Consisting of six chapters, the book presents many applicable techniques, making them available in a single source easily accessible to researchers interested in mathematical models and their applications. Serving as a valuable reference, this text is addressed to a wide audience of professionals, including mathematicians, applied researchers and practitioners.

  14. Simulating the use of products: applying the nucleus paradigm to resource-integrated virtual interaction models

    NARCIS (Netherlands)

    Van der Vegte, W.F.; Horváth, I.; Rusák, Z.

    2009-01-01

    We introduce a methodology for modelling and simulating fully virtual human-artefact systems, aiming to resolve two issues in virtual prototyping: (i) integration of distinct modelling and simulation approaches, and (ii) extending the deployability of simulations towards conceptual design. We are go

  15. Extensions of the Ordered Response Model Applied to Consumer Valuation of New Products

    OpenAIRE

    Das, J.W.M.

    1995-01-01

    In an ordered response model the observed variable is based upon classifying an unobserved variable into one out of a finite number of intervals forming a dissection of the real line (cf. Amemiya, 1981). This model considers the boundaries of the intervals as (unknown) deterministic parameters, the same for every individual. Terza (1985) extended this through the relaxation of the assumed constancy of the boundaries: he allowed the boundaries to be a linear function of observed explanatory va...

  16. A multi-layered approach to product architecture modeling: Applied to technology prototypes

    DEFF Research Database (Denmark)

    Martin Ravn, Poul; Guðlaugsson, Tómas Vignir; Mortensen, Niels Henrik

    2016-01-01

    –private partnership project to support the development of technology prototypes using electro-active polymer transducer technology. The findings showed that the TePPAT supported the development teams in the four cases. It is concluded that the TePPAT can support multidisciplinary development teams in modeling and...

  17. A Hybrid MCDM Model for New Product Development: Applied on the Taiwanese LiFePO4 Industry

    Directory of Open Access Journals (Sweden)

    Wen-Chin Chen

    2015-01-01

    Full Text Available Recent years, since problems with respect to atmosphere pollution hasten countries to accentuate green-related policy regarding the sustainable energy, the lithium-iron phosphate (LiFePO4 battery has been appealed to the world. However, more and more firms invest the LiFePO4 batteries production that has launched a fierce competition. Successful new product development (NPD processes have been considered the key for LiFePO4 battery firms to increase their competitive advantage. Firms must make correct decision faster due to the rapid development of technology and the decreasing product life cycle. This study proposes a hybrid multiple criteria decision making (MCDM model based on the literature review and consultation with the experts, interpretive structural modeling (ISM, and fuzzy analytic network process (FANP for evaluating various strategies for NPD. First of all, reviewing of literature and meeting with the experts are used to screen factors and select the criteria. Then, an ISM is managed to determine the feedback and interdependency of those factors in a network. Finally, a fuzzy theory is applied to resolve the linguistic hedges and an ANP is adopted to obtain the weights of all the factors. A case study is undertaken to validate the model in a Taiwanese company that provides professional packing and design for lithium-iron phosphate battery.

  18. Applying a bio-economic optimal control model to charcoal production: The case of slash and burn agriculture in Mexico

    OpenAIRE

    Arrocha, Fernando; Mauricio G. Villena

    2011-01-01

    This paper analyzes the relationship between rural poverty and forestland management in the context of charcoal production under slash and burn. An optimal control model determines how a representative household makes decisions on the allocation of labor and forest areas to exploit, which in turn affects the renewable resource base available to the community. The proposed optimal control model for charcoal production is built upon the agricultural model of slash and burn of Pascual and Barbie...

  19. Applying a bio-economic optimal control model to charcoal production: The case of slash and burn agriculture in Mexico

    OpenAIRE

    Arrocha, Fernando; Mauricio G. Villena

    2011-01-01

    This paper analyzes the relationship between rural poverty and forest land management in the context of charcoal production under slash and burn. An optimal control model determines how a representative household makes decisions on the allocation of forest areas to work and use them to affect the renewable resource base on which it depends. The proposed optimal control model for charcoal production is built upon the agricultural model of slash and burn by Pascual and Barbier (2007). This theo...

  20. Applied Bayesian modelling

    CERN Document Server

    Congdon, Peter

    2014-01-01

    This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBU

  1. Applying an empathic design model to gain an understanding of consumers’ cognitive orientations and develop a product prototype

    Directory of Open Access Journals (Sweden)

    Ding-Bang Luh

    2012-06-01

    Full Text Available Purpose: Consideration of consumer opinion is a key success factor when it comes to developing a new product. However, businesses may lack suitable methods for this, and designers may lack practical training, with both situations meaning that firms are unable to precisely adopt consumer opinions. Moreover, consumer cognitions for a product are widely regarded as changeable and abstract. It is worth studying how to determine consumers’ opinions and transform them into references for prototype development. The purpose of this study is thus to create an Empathic Design Model which would be able to determine consumer cognitive orientation.Design/methodology/approach: This model includes observing related phenomena, laddering the cognition, connecting the elements of the Associations Matrix, producing the hierarchy of the following four items, attributes, functional consequences, psychosocial consequences and values, and then producing a prototype to help designers and consumers reach a consensus on the cognitive structure of products.Findings: As demonstrated in a case study of the design of an “electronic tour guide”, the authors developed a prototype that can help a guide to perform their job on a group package tour. Consequently, the Empathic Design Model can be operated and put into practice. By Mind Mapping, the prototype can be then imitated and reinvented by designers as needed.Originality/value: This model focuses on the early phase of the design process, providing the designing industry with a technique to forecast consumers’ potential needs and develop a prototype effectively.

  2. A new net primary production estimating model using NOAA-AVHRR applied to the Haihe Basin, China

    Science.gov (United States)

    Xu, Xingang; Wu, Bingfang; Li, Qiangzi; Meng, Jihua; Zhang, Fengli

    2006-10-01

    Terrestrial net primary production (NPP), as an important component of carbon cycle on land, not only indicates directly the production level of vegetation community on land, but also shows the status of terrestrial ecosystem. What's more, NPP is also a determinant of carbon sinks on land and a key regulator of ecological processes, including interactions among tropic levels. In the study, three existing models are combined with each other to assess net primary production in Haihe Basin, China. The photosynthetically active radiation (PAR) model of Monteith is used for the calculation of absorbed photosynthetically active radiation (APAR), the light utilization efficiency model of Potter et al. is used for determining the light utilization efficiency, and the surface energy balance system (SEBS) of Su is used into Potter's model to describe water stress in land wetness conditions. To assess NPP, We use NOAA-AVHRR data from November 2003 to September 2004 and the corresponding daily data of temperature and hours of sunshine obtained from meteorological stations in Haihe Basin, China. After atmospheric, geometrical and radiant corrections, every ten days NOAA data are processed to become an image of NDVI by means of the maximal value composition method (MVC) in order to eliminate some noises. Using these data, we compute NPP in spring season and spring season of 2004 in Haihe Basin, China. The result shows, in Haihe Basin, NPP for spring season is averaged to 336.10gC•m -2, and 709.16 gC•m -2 for autumn season. In spatial distribution, NPP is greater in both ends than in middle for spring season, and decrease increasingly from north to south for autumn season. Future work should rely on the integration of high and low resolution images to assess net primary production, which will probably have more accurately estimation.

  3. Sensitivity analysis of catch-per-unit-effort of Atlantic bigeye tuna (Thunnus obesus) data series applied to production model

    OpenAIRE

    Andrade, Humber A.

    2015-01-01

    Different datasets and a Bayesian production model were used to assess the status of the Atlantic bigeye tuna (Thunnus obesus) stock. Several datasets convey little information hence estimations of parameters are imprecise unless a very restrictive prior is used. Modes of posteriors calculated for composite datasets are in between modes of the posteriors calculated for separated datasets. Most of the calculations indicate that biomass has decreased until the beginning of 1990's when the stock...

  4. Sensitivity analysis of catch-per-unit-effort of Atlantic bigeye tuna (Thunnus obesus data series applied to production model

    Directory of Open Access Journals (Sweden)

    Humber A Andrade

    2015-03-01

    Full Text Available Different datasets and a Bayesian production model were used to assess the status of the Atlantic bigeye tuna (Thunnus obesus stock. Several datasets convey little information hence estimations of parameters are imprecise unless a very restrictive prior is used. Modes of posteriors calculated for composite datasets are in between modes of the posteriors calculated for separated datasets. Most of the calculations indicate that biomass has decreased until the beginning of 1990's when the stock was overfished. Catches decreased after 1999 but there is doubt if the stock was recovering in 2000's. The answer depends on the dataset and on the prior distribution.

  5. Applying the Context, Input, Process, Product Evaluation Model for Evaluation, Research, and Redesign of an Online Master’s Program

    Directory of Open Access Journals (Sweden)

    Hatice Sancar Tokmak

    2013-07-01

    Full Text Available This study aimed to evaluate and redesign an online master’s degree program consisting of 12 courses from the informatics field using a context, input, process, product (CIPP evaluation model. Research conducted during the redesign of the online program followed a mixed methodology in which data was collected through a CIPP survey, focus-group interview, and open-ended questionnaire. An initial CIPP survey sent to students, which had a response rate of approximately 60%, indicated that the Fuzzy Logic course did not fully meet the needs of students. Based on these findings, the program managers decided to improve this course, and a focus group was organized with the students of the Fuzzy Logic course in order to obtain more information to help in redesigning the course. Accordingly, the course was redesigned to include more examples and visuals, including videos; student-instructor interaction was increased through face-to-face meetings; and extra meetings were arranged before exams so that additional examples could be presented for problem-solving to satisfy students about assessment procedures. Lastly, the modifications to the Fuzzy Logic course were implemented, and the students in the course were sent an open-ended form asking them what they thought about the modifications. The results indicated that most students were pleased with the new version of the course.

  6. A Hybrid MCDM Model for New Product Development: Applied on the Taiwanese LiFePO4 Industry

    OpenAIRE

    Wen-Chin Chen; Li-Yi Wang; Meng-Chen Lin

    2015-01-01

    Recent years, since problems with respect to atmosphere pollution hasten countries to accentuate green-related policy regarding the sustainable energy, the lithium-iron phosphate (LiFePO4) battery has been appealed to the world. However, more and more firms invest the LiFePO4 batteries production that has launched a fierce competition. Successful new product development (NPD) processes have been considered the key for LiFePO4 battery firms to increase their competitive advantage. Firms must m...

  7. Terahertz spectroscopy applied to food model systems

    DEFF Research Database (Denmark)

    Møller, Uffe

    Water plays a crucial role in the quality of food. Apart from the natural water content of a food product, the state of that water is very important. Water can be found integrated into the biological material or it can be added during production of the product. Currently it is difficult to differ...... differentiate between these types of water in subsequent quality controls. This thesis describes terahertz time-domain spectroscopy applied on aqueous food model systems, with particular focus on ethanol-water mixtures and confined water pools in inverse micelles....

  8. Applying Product Configuration Systems in Engineering Companies

    DEFF Research Database (Denmark)

    Ladeby, Klaes Rohde

    engineering companies?” Product configuration systems are a fairly young field of research, and the literature used in this project is presented in chapter 2. Chapter 3 begins with a discussion of the scientific point of view, and develops the research questions are by an investigation into shortcomings and......This Ph.D. thesis looks into the application of configuration systems in engineering companies, and how configuration systems can be used to support business processes in engineering companies. Often the motivation stated by researchers and practitioners is, that a configuration project is a......,133 books apply. Type it in on Google scholar and 8,580,000 homepages apply3. Obviously, strategy is an important subject. However, the subject also seems to be difficult to perceive. Although this thesis is not about strategy, or strategizing, I would like to pursue the definition of strategy one step...

  9. From Product Models to Product State Models

    DEFF Research Database (Denmark)

    Larsen, Michael Holm

    1999-01-01

    A well-known technology designed to handle product data is Product Models. Product Models are in their current form not able to handle all types of product state information. Hence, the concept of a Product State Model (PSM) is proposed. The PSM and in particular how to model a PSM is the Research...

  10. Risk assessment of topically applied products

    DEFF Research Database (Denmark)

    Søborg, Tue; Basse, Line Hollesen; Halling-Sørensen, Bent

    2007-01-01

    as model compounds. Tolerable daily intake (TDI) values have been established for BADGE and derivatives. Endocrine disruption was chosen as endpoint for 3-BC and 4-MBC. Skin permeation of the model compounds was investigated in vitro using pig skin membranes. Tape stripping was applied to simulate broken...... skin associated with various skin disorders. BADGE and derivatives had a tendency to permeate pig skin membranes in vitro with higher fluxes in the tape stripped membranes compared to the non-treated membranes. Data from the in vitro skin permeation study and from the literature were used as input....... Both UV filters are endocrine disrupting compounds with 3-BC being the more potent. UV filters in sunscreen are often present in high concentrations, which potentially may lead to high systemic exposure dosages. Thus, the risk associated with use of 3-BC and 4-MBC containing sunscreen with regards...

  11. DATA CRYSTALLIZATION APPLIED FOR DESIGNING NEW PRODUCTS

    Institute of Scientific and Technical Information of China (English)

    Kenichi HORIE; Yoshiharu MAENO; Yukio OHSAWA

    2007-01-01

    It is only the observable part of the real world that can be stored in data.For such incomplete and ill-structured data,data crystallizing aims at presenting the hidden structure among events including unobservable events.This is realized by data crystallization,where dummy items,corresponding to potential existence ofunobservable events,are inserted to the given data.These dummy items and their relations with observable events are visualized by applying KeyGraph to the data with dummy items,like the crystallization of snow where dusts are involved in the formation of crystallization of water molecules.For tuning the granularity level of structure to be visualized,the tool of data crystallization is integrated with human's process of understanding significant scenarios in the real world.This basic method is expected to be applicable for various real world domains where previous methods of chance-discovery lead human to successful decision making.In this paper,we apply the data crystallization with human-interactive annealing (DCHA) to the design of products in a real company.The results show its effect to industrial decision making.

  12. Production models

    DEFF Research Database (Denmark)

    Svensson, Carsten

    2002-01-01

    The Project is co-financed with Nilpeter A/S and investigates the industrialization of build to order production. Project content: - Enterprise engineering - Specification processes - Mass Customization/ Build To Order - Knowledge/information management - Configuration - Supply Chain Management...

  13. Tensor product variational formulation applied to pentagonal lattice

    International Nuclear Information System (INIS)

    The uniform two-dimensional variational tensor product state is applied to the transverse-field Ising, XY, and Heisenberg models on a regular hyperbolic lattice surface. The lattice is constructed by tessellation of the congruent pentagons with the fixed coordination number being four. As a benchmark, the three models are studied on the flat square lattice simultaneously. The mean-field-like universality of the Ising phase transition is observed in full agreement with its classical counterpart on the hyperbolic lattice. The tensor product ground state in the thermodynamic limit has an exceptional three-parameter solution. The variational ground-state energies of the spin models are calculated. (paper)

  14. Experience on Re-engineering Applying with Software Product Line

    OpenAIRE

    Jirapanthong, Waraporn

    2012-01-01

    In this paper, we present our experience based on a reengineering project. The software project is to re-engineer the original system of a company to answer the new requirements and changed business functions. Reengineering is a process that involves not only the software system, but also underlying business model. Particularly, the new business model is designed along with new technologies to support the new system. This paper presents our experience that applies with software product line a...

  15. Product personality: from analysing to applying

    NARCIS (Netherlands)

    Pourtalebi Hendehkhaleh, S.; Pouralvar, K.

    2012-01-01

    Nowadays products are expected to undertake their functions properly and the competition for satisfying consumer is in the field of product attachments and emotional characteristics. Products have a symbolic meaning in addition to their utilitarian benefits. This symbolic meaning that refers to phys

  16. Synthetic studies applied to polyketide natural products

    OpenAIRE

    Mandel, Alexander

    2008-01-01

    Polyketide natural products are valuable components of the modern pharmacopea. These secondary metabolites have a diverse range of structures and activities. Studies of their biosynthesis and activity will help to provide access to better medicinal compounds. To this end, directly probing these mechanisms with derivatives of natural products is an important goal. Synthetic organic chemistry allows production of a greater variety of compounds than can be accessed by manipulation of isolated na...

  17. Applying Software Engineering Principles to Process Modeling

    OpenAIRE

    Henry, Joel

    1992-01-01

    Process models are constructed using specific modeling methods or techniques. These techniques impart certain characteristics to the models they produce. Application of the software engineering principles of information hiding, top-down functional decomposition and stepwise refinement to process modeling imparts many desirable characteristics to the process models produced. This paper describes an approach to process modeling which applies these software engineering principles to control flow...

  18. Self-energy production applied to buildings

    Energy Technology Data Exchange (ETDEWEB)

    Carlo, Fabricio Ramos del; Balestieri, Jose Antonio Perrella [Sao Paulo State University Julio de Mesquita Filho (UNESP), Guaratingueta, SP (Brazil)], E-mail: perrella@feg.unesp.br; Holanda, Marcelo Rodrigues de [Sao Paulo Univ. (EEL/USP), Lorena, SP (Brazil). Engineering School], E-mail: marcelo@debas.eel.usp.br

    2010-07-01

    The decentralization of energy production in order to obtain better environmental conditions, reducing greenhouse gas emissions and the cost reduction of electricity and thermal energy consumed in residential buildings has been proposed in the literature. This paper proposes to demonstrate what are the chances of having a microcogeneration system toward the residential application. In this study, we contemplate the technologies involved and their possible inputs that are arranged in a superstructure to be studied. As a first step we obtain the cost of the products generated by the configuration that consists basically of two sources of power generation, and through optimization calculations intended to obtain the best configuration, taking into consideration the selection between four fuels, two equipment generators (Fuel Cell and Internal Combustion Engine)and three levels of energy production for each one. An economic analysis is also presented to evaluate the opportunity of selling the energy generated considering the fluctuations of the residential building consumption needs. (author)

  19. Applied Modeling of Air Pollution (AMAP)

    International Nuclear Information System (INIS)

    This report summarizes the activities in the first year of the project Applied Modeling of Air Pollution (AMAP). This project which has a duration of three years aims at concentrating and improve the available air quality modeling expertise in the Austrian Research Centre Seibersdorf. The overall project consists of the subprojects Dispersion Modeling, Receptor Modeling and Urban Airshed Modeling. During the first year appropriate models (such as ISCST3, CMB, UAM-IV and CALGRID) were installed and tested with data from real and fictive examples as well as with synthetic data. High emphasis was given to the visualization of the model outputs. (author)

  20. Educational software design: applying models of learning

    OpenAIRE

    Richards, Stephen

    2011-01-01

    The model of learning adopted within this paper is the 'spreading ripples' (SR) model proposed by Race (1994). This model was chosen for two important reasons. First, it makes use of accessible ideas and language, .and is therefore simple. Second, .Race suggests that the model can be used in the design, of educational and training programmes (and can thereby be applied to the design of computer-based learning materials).DOI:10.1080/0968776960040303

  1. Applying mechanistic models in bioprocess development

    DEFF Research Database (Denmark)

    Lencastre Fernandes, Rita; Bodla, Vijaya Krishna; Carlquist, Magnus; Heins, Anna-Lena; Eliasson Lantz, Anna; Sin, Gürkan; Gernaey, Krist V

    2013-01-01

    incorporates process-relevant input (critical process variables)-output (product concentration and product quality attributes) relations. The model therefore has great value in planning experiments, or in determining which critical process variables need to be monitored and controlled tightly. Mechanistic...... complex case studies as well....

  2. Applying the WEAP Model to Water Resource

    DEFF Research Database (Denmark)

    Gao, Jingjing; Christensen, Per; Li, Wei

    Water resources assessment is a tool to provide decision makers with an appropriate basis to make informed judgments regarding the objectives and targets to be addressed during the Strategic Environmental Assessment (SEA) process. The study shows how water resources assessment can be applied in SEA...... in assessing the effects on water resources using a case study on a Coal Industry Development Plan in an arid region in North Western China. In the case the WEAP model (Water Evaluation And Planning System) were used to simulate various scenarios using a diversity of technological instruments like...... irrigation efficiency, treatment and reuse of water. The WEAP model was applied to the Ordos catchment where it was used for the first time in China. The changes in water resource utilization in Ordos basin were assessed with the model. It was found that the WEAP model is a useful tool for water resource...

  3. Applying environmental product design to biomedical products research.

    OpenAIRE

    Messelbeck, J; Sutherland, L

    2000-01-01

    The principal themes for the Biomedical Research and the Environment Conference Committee on Environmental Economics in Biomedical Research include the following: healthcare delivery companies and biomedical research organizations, both nonprofit and for-profit, need to improve their environmental performance; suppliers of healthcare products will be called upon to support this need; and improving the environmental profile of healthcare products begins in research and development (R&D). The c...

  4. Applied probability models with optimization applications

    CERN Document Server

    Ross, Sheldon M

    1992-01-01

    Concise advanced-level introduction to stochastic processes that frequently arise in applied probability. Largely self-contained text covers Poisson process, renewal theory, Markov chains, inventory theory, Brownian motion and continuous time optimization models, much more. Problems and references at chapter ends. ""Excellent introduction."" - Journal of the American Statistical Association. Bibliography. 1970 edition.

  5. Applied Integer Programming Modeling and Solution

    CERN Document Server

    Chen, Der-San; Dang, Yu

    2011-01-01

    An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully comprehend the algorithms associated with integer programming, it is important to understand not only how algorithms work, but also why they work. Applied Integer Programming features a unique emphasis on this point, focusing on problem modeling and solution using commercial software. Taking an application-oriented approach, this book addresses the art and science of mathematical modeling related to the mixed integer programming (MIP) framework and

  6. Geostatistical methods applied to field model residuals

    DEFF Research Database (Denmark)

    Maule, Fox; Mosegaard, K.; Olsen, Nils

    The geomagnetic field varies on a variety of time- and length scales, which are only rudimentary considered in most present field models. The part of the observed field that can not be explained by a given model, the model residuals, is often considered as an estimate of the data uncertainty (which...... consists of measurement errors and unmodelled signal), and is typically assumed to be uncorrelated and Gaussian distributed. We have applied geostatistical methods to analyse the residuals of the Oersted(09d/04) field model [http://www.dsri.dk/Oersted/Field_models/IGRF_2005_candidates/], which is based...... on 5 years of Ørsted and CHAMP data, and includes secular variation and acceleration, as well as low-degree external (magnetospheric) and induced fields. The analysis is done in order to find the statistical behaviour of the space-time structure of the residuals, as a proxy for the data covariances...

  7. Applied research in uncertainty modeling and analysis

    CERN Document Server

    Ayyub, Bilal

    2005-01-01

    Uncertainty has been a concern to engineers, managers, and scientists for many years. For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous. In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty. In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on...

  8. Information Model for Product Modeling

    Institute of Scientific and Technical Information of China (English)

    焦国方; 刘慎权

    1992-01-01

    The Key problems in product modeling for integrated CAD ∥CAM systems are the information structures and representations of products.They are taking more and more important roles in engineering applications.With the investigation on engineering product information and from the viewpoint of industrial process,in this paper,the information models are proposed and the definitions of the framework of product information are given.And then,the integration and the consistence of product information are discussed by introucing the entity and its instance.As a summary,the information structures described in this paper have many advantage and natures helpful in engineering design.

  9. Applied Mathematics, Modelling and Computational Science

    CERN Document Server

    Kotsireas, Ilias; Makarov, Roman; Melnik, Roderick; Shodiev, Hasan

    2015-01-01

    The Applied Mathematics, Modelling, and Computational Science (AMMCS) conference aims to promote interdisciplinary research and collaboration. The contributions in this volume cover the latest research in mathematical and computational sciences, modeling, and simulation as well as their applications in natural and social sciences, engineering and technology, industry, and finance. The 2013 conference, the second in a series of AMMCS meetings, was held August 26–30 and organized in cooperation with AIMS and SIAM, with support from the Fields Institute in Toronto, and Wilfrid Laurier University. There were many young scientists at AMMCS-2013, both as presenters and as organizers. This proceedings contains refereed papers contributed by the participants of the AMMCS-2013 after the conference. This volume is suitable for researchers and graduate students, mathematicians and engineers, industrialists, and anyone who would like to delve into the interdisciplinary research of applied and computational mathematics ...

  10. Applying incentive sensitization models to behavioral addiction

    DEFF Research Database (Denmark)

    Rømer Thomsen, Kristine; Fjorback, Lone; Møller, Arne;

    2014-01-01

    The incentive sensitization theory is a promising model for understanding the mechanisms underlying drug addiction, and has received support in animal and human studies. So far the theory has not been applied to the case of behavioral addictions like Gambling Disorder, despite sharing clinical...... symptoms and underlying neurobiology. We examine the relevance of this theory for Gambling Disorder and point to predictions for future studies. The theory promises a significant contribution to the understanding of behavioral addiction and opens new avenues for treatment....

  11. Modelling future oil production

    Energy Technology Data Exchange (ETDEWEB)

    Laherrere, Jean [Preuilly sur Claise (France)

    2002-07-01

    versus the cumulative number of new field wildcats, is a powerful tool. Another method is to plot the percentage of annual to cumulative production versus cumulative production, and extrapolate the trend. Future production can also be modelled with one or more bell-shaped curves. The bell-shaped curve was invented by K. Hubbert in the 1950s and successfully applied to the production of the 48 US lower states, which are bell-shaped curves similar to a normal curve. In other regions with several E and P episodes, one has to use several such curves, each one related to its discovery pattern. Oil production in the world outside OPEC and the FSU can be readily modelled with such a bell-shaped curve, despite the recent surge of deepwater production and suggests a peak of about 32 Mb/d during this decade. Modelling the FSU has to recognise the over-production of the late 1980s and the under-production during the 1990s following the collapse of the Soviet Union. What has been under-produced in the 1990s or under-developed in the Soviet era is now creating a new cycle. The main contributing regions will be East Siberia and Sakhalin, as well as new discoveries in the Caspian, together giving a peak of about 10 Mb/d in 2010. Modelling OPEC production is more questionable, but it could peak in 2020 at between 40 and 45 Mb/d. Combining the three crude oil models for OPEC, the FSU and the rest of the world gives a world ultimate recovery of 2200 Gb. with a peak at about 80 Mb/d between 2010 and 2020. Non-conventional oil and other liquids, with an ultimate of about 800 Gb, could peak in 2050 at around 20 Mb/d. The combined model for all liquids gives a peak of 90 Mb/d around 2015. Annual world oil production as a percentage of remaining 'mean' reserves has increased from 1% in 1960 to 2.5 % in 2000. If demand was to rise to 115 Mb/d by 2020 it would require the finding of some 300 Gb of additional reserves, for which there is little evidence. Hence our conclusion that demand

  12. Assessing Product Line Derivation Operators Applied to Java Source Code: An Empirical Study

    OpenAIRE

    Ferreira Filho, João Bosco; Allier, Simon; Barais, Olivier; Acher, Mathieu; Baudry, Benoit

    2015-01-01

    Product Derivation is a key activity in Software Product Line Engineering. During this process, derivation operators modify or create core assets (e.g., model elements, source code instructions, components) by adding, removing or substituting them according to a given configuration. The result is a derived product that generally needs to conform to a programming or modeling language. Some operators lead to invalid products when applied to certain assets, some others do not; knowing this in ad...

  13. Markov Model Applied to Gene Evolution

    Institute of Scientific and Technical Information of China (English)

    季星来; 孙之荣

    2001-01-01

    The study of nucleotide substitution is very important both to our understanding of gene evolution and to reliable estimation of phylogenetic relationships. In this paper nucleotide substitution is assumed to be random and the Markov model is applied to the study of the evolution of genes. Then a non-linear optimization approach is proposed for estimating substitution in real sequences. This substitution is called the "Nucleotide State Transfer Matrix". One of the most important conclusions from this work is that gene sequence evolution conforms to the Markov process. Also, some theoretical evidences for random evolution are given from energy analysis of DNA replication.

  14. Applied Regression Modeling A Business Approach

    CERN Document Server

    Pardoe, Iain

    2012-01-01

    An applied and concise treatment of statistical regression techniques for business students and professionals who have little or no background in calculusRegression analysis is an invaluable statistical methodology in business settings and is vital to model the relationship between a response variable and one or more predictor variables, as well as the prediction of a response value given values of the predictors. In view of the inherent uncertainty of business processes, such as the volatility of consumer spending and the presence of market uncertainty, business professionals use regression a

  15. Model for integrated management of quality, labor risks prevention, environment and ethical aspects, applied to R&D&I and production processes in an organization

    Science.gov (United States)

    González, M. R.; Torres, F.; Yoldi, V.; Arcega, F.; Plaza, I.

    2012-04-01

    It is proposed an integrated management model for an organization. This model is based on the continuous improvement Plan-Do-Check-Act cycle and it intends to integrate the environmental, risk prevention and ethical aspects as well as research, development and innovation projects management in the general quality management structure proposed by ISO 9001:2008. It aims to fulfill the standards ISO 9001, ISO 14001, OSHAS 18001, SGE 21 y 166002.

  16. Applying target shadow models for SAR ATR

    Science.gov (United States)

    Papson, Scott; Narayanan, Ram M.

    2007-04-01

    Recent work has suggested that target shadows in synthetic aperture radar (SAR) images can be used effectively to aid in target classification. The method outlined in this paper has four steps - segmentation, representation, modeling, and selection. Segmentation is the process by which a smooth, background-free representation of the target's shadow is extracted from an image chip. A chain code technique is then used to represent the shadow boundary. Hidden Markov modeling is applied to sets of chain codes for multiple targets to create a suitable bank of target representations. Finally, an ensemble framework is proposed for classification. The proposed model selection process searches for an optimal ensemble of models based on various target model configurations. A five target subset of the MSTAR database is used for testing. Since the shadow is a back-projection of the target profile, some aspect angles will contain more discriminatory information then others. Therefore, performance is investigated as a function of aspect angle. Additionally, the case of multiple target looks is considered. The capability of the shadow-only classifier to enhance more traditional classification techniques is examined.

  17. Applying axiomatic design methodology in developing modified libertation products

    Directory of Open Access Journals (Sweden)

    Bibiana Margarita Vallejo Díaz

    2010-04-01

    Full Text Available Some conceptual elements regarding the axiomatic design method were applied to a specific case-study regarding developing modified liberation compressed product (CLM-UN, for use in the agricultural sector as pH regulating agent in solil. The study was orientated towards defining functional requeriments, design parameters and process variables for manufacturing the product. Independence and information were evaluated, supporting axiomatic design as an alternative for integral product and process design (as a rational and systemic exercise, facilitating producing products having the quality which future users expect from them.

  18. Model Counting in Product Configuration

    CERN Document Server

    Kübler, Andreas; Küchlin, Wolfgang; 10.4204/EPTCS.29.5

    2010-01-01

    We describe how to use propositional model counting for a quantitative analysis of product configuration data. Our approach computes valuable meta information such as the total number of valid configurations or the relative frequency of components. This information can be used to assess the severity of documentation errors or to measure documentation quality. As an application example we show how we apply these methods to product documentation formulas of the Mercedes-Benz line of vehicles. In order to process these large formulas we developed and implemented a new model counter for non-CNF formulas. Our model counter can process formulas, whose CNF representations could not be processed up till now.

  19. Optimization of Oil Production - Applied to the Marlim Field

    OpenAIRE

    Langvik, Andrea Sundby; Dzubur, Lamija

    2012-01-01

    This thesis considers short-term petroleum production planning at the Marlim field operated by the Brazilian energy company, Petrobras. The production asset to be optimized is an Floating Production and Storage Operating unit, including several oil producing wells and gas lift technology. Current practice for oil companies is to optimize the different parts of a production system separately. To avoid sub-optimal decisions, there is a need for integrated optimization models that consider all...

  20. Fuzzy sets, rough sets, and modeling evidence: Theory and Application. A Dempster-Shafer based approach to compromise decision making with multiattributes applied to product selection

    Science.gov (United States)

    Dekorvin, Andre

    1992-01-01

    The Dempster-Shafer theory of evidence is applied to a multiattribute decision making problem whereby the decision maker (DM) must compromise with available alternatives, none of which exactly satisfies his ideal. The decision mechanism is constrained by the uncertainty inherent in the determination of the relative importance of each attribute element and the classification of existing alternatives. The classification of alternatives is addressed through expert evaluation of the degree to which each element is contained in each available alternative. The relative importance of each attribute element is determined through pairwise comparisons of the elements by the decision maker and implementation of a ratio scale quantification method. Then the 'belief' and 'plausibility' that an alternative will satisfy the decision maker's ideal are calculated and combined to rank order the available alternatives. Application to the problem of selecting computer software is given.

  1. Product and Process Modelling

    DEFF Research Database (Denmark)

    Cameron, Ian T.; Gani, Rafiqul

    This book covers the area of product and process modelling via a case study approach. It addresses a wide range of modelling applications with emphasis on modelling methodology and the subsequent in-depth analysis of mathematical models to gain insight via structural aspects of the models....... These approaches are put into the context of life cycle modelling, where multiscale and multiform modelling is increasingly prevalent in the 21st century. The book commences with a discussion of modern product and process modelling theory and practice followed by a series of case studies drawn from a variety...... to biotechnology applications, food, polymer and human health application areas. The book highlights to important nature of modern product and process modelling in the decision making processes across the life cycle. As such it provides an important resource for students, researchers and industrial practitioners....

  2. Applying EFT to Higgs pair production in universal extra dimensions

    Science.gov (United States)

    Edelhäuser, Lisa; Knochel, Alexander; Steeger, Thomas

    2015-11-01

    We investigate single Higgs and Higgs pair production at the LHC in models of Universal Extra Dimensions. After calculating the relevant cross sections, we use the UED model as a testing ground for the Effective Field Theory approach to physics beyond the Standard Model. We show how the UED contributions to Higgs production can be matched to a dimension-6 operator. We then discuss the range of validity of this approach, in particular for Higgs pair production, and determine the sensitivity to the number of KK modes in the loop.

  3. Learning to apply models of materials while explaining their properties

    Science.gov (United States)

    Karpin, Tiia; Juuti, Kalle; Lavonen, Jari

    2014-09-01

    Background:Applying structural models is important to chemistry education at the upper secondary level, but it is considered one of the most difficult topics to learn. Purpose:This study analyses to what extent in designed lessons students learned to apply structural models in explaining the properties and behaviours of various materials. Sample:An experimental group is 27 Finnish upper secondary school students and control group included 18 students from the same school. Design and methods:In quasi-experimental setting, students were guided through predict, observe, explain activities in four practical work situations. It was intended that the structural models would encourage students to learn how to identify and apply appropriate models when predicting and explaining situations. The lessons, organised over a one-week period, began with a teacher's demonstration and continued with student experiments in which they described the properties and behaviours of six household products representing three different materials. Results:Most students in the experimental group learned to apply the models correctly, as demonstrated by post-test scores that were significantly higher than pre-test scores. The control group showed no significant difference between pre- and post-test scores. Conclusions:The findings indicate that the intervention where students engage in predict, observe, explain activities while several materials and models are confronted at the same time, had a positive effect on learning outcomes.

  4. A Cooperation Model Applied in a Kindergarten

    Directory of Open Access Journals (Sweden)

    Jose I. Rodriguez

    2011-10-01

    Full Text Available The need for collaboration in a global world has become a key factor for success for many organizations and individuals. However in several regions and organizations in the world, it has not happened yet. One of the settings where major obstacles occur for collaboration is in the business arena, mainly because of competitive beliefs that cooperation could hurt profitability. We have found such behavior in a wide variety of countries, in advanced and developing economies. Such cultural behaviors or traits characterized entrepreneurs by working in isolation, avoiding the possibilities of building clusters to promote regional development. The needs to improve the essential abilities that conforms cooperation are evident. It is also very difficult to change such conduct with adults. So we decided to work with children to prepare future generations to live in a cooperative world, so badly hit by greed and individualism nowadays. We have validated that working with children at an early age improves such behavior. This paper develops a model to enhance the essential abilities in order to improve cooperation. The model has been validated by applying it at a kindergarten school.

  5. European oil product supply modelling

    International Nuclear Information System (INIS)

    Over the last few years, trends in European oil product consumption (in terms of level as structure and quality) has important implications of the refining industry. In this context, the purpose of this thesis consists in building a mathematical programming model applied to the European refineries in order to determine oil product supply prices, European refining industry investments and oil product exchanges of the European Union. The first part presents the reason for our choice for a long-term aggregate multi-refineries linear programming model, based on European refineries characteristics and the objectives of our model. Its dual properties are studied in detail and we focus particularly on the European exchange modelling. In the second part, an analysis of the European refining trends leads us to identify parameters and variables of the model that are essential to the aggregate representation of the European oil product supply. The third part is devoted to the use of this model, regarding two scenarios of increasingly stringent specifications for gasoline and diesel oil. Our interest for these products is due to their important share of the European oil product consumption and the not insignificant responsibility of the transport sector for atmospheric pollution. Finally, in order to have the use of an overall picture of the European refining industry, we build a regression model summarizing, though a few equations, the main relations between the major endogenous and exogenous variables o the LP model. Based on pseudo-data, this kind of model provides a simple and robust representation of the oil product supply. But a more specialized analysis of the refining industry operations, turning on a technical assessment of processing units, is reliant on the use of an optimization model such as the model we have built. (author)

  6. Modelling Retail Floorspace Productivity

    OpenAIRE

    Thurik, Roy; Kooiman, P.

    1986-01-01

    textabstractThis research note presents a "switching regime" model to investigate the impact of environmental factors on floorspace productivity of individual retail stores. The model includes independent supply and demand functions, which are incorporated within a sales maximizing framework. Unlike previous models, the switching approach allows the model to determine first whether sales are determined by demand or supply side constraints. The appropriate regime is then chosen to estimate spa...

  7. Product Platform Modeling

    DEFF Research Database (Denmark)

    Pedersen, Rasmus

    encapsulation can be visually modelled during product platform projects. A fundamental hypothesis in this project is that decision makers and important stakeholders have to be able to see the platform in order to manage it. Consequently, the thesis also investigates how visual models of important phenomena can...... two main purposes; First, various phenomena related to product platforms are investigated and secondly it is investigated how some of these phenomena can be visually modelled in order to support decision making in industrial platform projects. The investigation of platform phenomena is based on the...... support decision makers during a product platform project. The reaction from stakeholders in the case companies indicates that the decision base is improved by means of visual models. Another finding is that the sometimes rather theoretical and intangible phenomena can be instantiated in models and...

  8. Linear model applied to the evaluation of pharmaceutical stability data

    Directory of Open Access Journals (Sweden)

    Renato Cesar Souza

    2013-09-01

    Full Text Available The expiry date on the packaging of a product gives the consumer the confidence that the product will retain its identity, content, quality and purity throughout the period of validity of the drug. The definition of this term in the pharmaceutical industry is based on stability data obtained during the product registration. By the above, this work aims to apply the linear regression according to the guideline ICH Q1E, 2003, to evaluate some aspects of a product undergoing in a registration phase in Brazil. With this propose, the evaluation was realized with the development center of a multinational company in Brazil, with samples of three different batches composed by two active principal ingredients in two different packages. Based on the preliminary results obtained, it was possible to observe the difference of degradation tendency of the product in two different packages and the relationship between the variables studied, added knowledge so new models of linear equations can be applied and developed for other products.

  9. Digital prototyping technique applied for redesigning plastic products

    Science.gov (United States)

    Pop, A.; Andrei, A.

    2015-11-01

    After products are on the market for some time, they often need to be redesigned to meet new market requirements. New products are generally derived from similar but outdated products. Redesigning a product is an important part of the production and development process. The purpose of this paper is to show that using modern technology, like Digital Prototyping in industry is an effective way to produce new products. This paper tries to demonstrate and highlight the effectiveness of the concept of Digital Prototyping, both to reduce the design time of a new product, but also the costs required for implementing this step. The results of this paper show that using Digital Prototyping techniques in designing a new product from an existing one available on the market mould offers a significantly manufacturing time and cost reduction. The ability to simulate and test a new product with modern CAD-CAM programs in all aspects of production (designing of the 3D model, simulation of the structural resistance, analysis of the injection process and beautification) offers a helpful tool for engineers. The whole process can be realised by one skilled engineer very fast and effective.

  10. Monitoring operational data production applying Big Data tooling

    Science.gov (United States)

    Som de Cerff, Wim; de Jong, Hotze; van den Berg, Roy; Bos, Jeroen; Oosterhoff, Rijk; Klein Ikkink, Henk Jan; Haga, Femke; Elsten, Tom; Verhoef, Hans; Koutek, Michal; van de Vegte, John

    2015-04-01

    Within the KNMI Deltaplan programme for improving the KNMI operational infrastructure an new fully automated system for monitoring the KNMI operational data production systems is being developed: PRISMA (PRocessflow Infrastructure Surveillance and Monitoring Application). Currently the KNMI operational (24/7) production systems consist of over 60 applications, running on different hardware systems and platforms. They are interlinked for the production of numerous data products, which are delivered to internal and external customers. All applications are individually monitored by different applications, complicating root cause and impact analysis. Also, the underlying hardware and network is monitored separately using Zabbix. Goal of the new system is to enable production chain monitoring, which enables root cause analysis (what is the root cause of the disruption) and impact analysis (what other products will be effected). The PRISMA system will make it possible to dispose all the existing monitoring applications, providing one interface for monitoring the data production. For modeling the production chain, the Neo4j Graph database is used to store and query the model. The model can be edited through the PRISMA web interface, but is mainly automatically provided by the applications and systems which are to be monitored. The graph enables us to do root case and impact analysis. The graph can be visualized in the PRISMA web interface on different levels. Each 'monitored object' in the model will have a status (OK, error, warning, unknown). This status is derived by combing all log information available. For collecting and querying the log information Splunk is used. The system is developed using Scrum, by a multi-disciplinary team consisting of analysts, developers, a tester and interaction designer. In the presentation we will focus on the lessons learned working with the 'Big data' tooling Splunk and Neo4J.

  11. Metoder for Modellering, Simulering og Regulering af Større Termiske Processer anvendt i Sukkerproduktion. Methods for Modelling, Simulation and Control of Large Scale Thermal Systems Applied in Sugar Production

    DEFF Research Database (Denmark)

    Nielsen, Kirsten Mølgaard; Nielsen, Jens Frederik Dalsgaard

    of a computer, a data terminal and an electric interface corresponding to the interface at the sugar plant. The simulator is operating in realtime and thus a realistic test of controllers is possible. The idiomatic control methodology has been investigated developing a control concept for the......The subject of this Ph.D. thesis is to investigate and develop methods for modelling, simulation and control applicable in large scale termal industrial plants. An ambition has been to evaluate the results in a physical process. Sugar production is well suited for the purpose. In collaboration with...... evaporator simulator has been developed. The simulator handles the normal working conditions relevant to control engineers. A non-linear dynamic model based on mass and energy balances has been developed. The model parameters have been adjusted to data measured on a Danish sugar plant. The simulator consists...

  12. Applied model for the growth of the daytime mixed layer

    DEFF Research Database (Denmark)

    Batchvarova, E.; Gryning, Sven-Erik

    1991-01-01

    A slab model is proposed for developing the height of the mixed layer capped by stable air aloft. The model equations are closed by relating the consumption of energy (potential and kinetic) at the top of the mixed layer to the production of convective and mechanical turbulent kinetic energy within...... the mixed layer. By assuming that the temperature difference at the top of the mixed layer instantaneously adjusts to the actual meteorological conditions without regard to the initial temperature difference that prevailed, the model is reduced to a single differential equation which easily can be...... solved numerically. When the mixed layer is shallow or the atmosphere nearly neutrally stratified, the growth is controlled mainly by mechanical turbulence. When the layer is deep, its growth is controlled mainly by convective turbulence. The model is applied on a data set of the evolution of the height...

  13. Model Counting in Product Configuration

    Directory of Open Access Journals (Sweden)

    Andreas Kübler

    2010-07-01

    Full Text Available We describe how to use propositional model counting for a quantitative analysis of product configuration data. Our approach computes valuable meta information such as the total number of valid configurations or the relative frequency of components. This information can be used to assess the severity of documentation errors or to measure documentation quality. As an application example we show how we apply these methods to product documentation formulas of the Mercedes-Benz line of vehicles. In order to process these large formulas we developed and implemented a new model counter for non-CNF formulas. Our model counter can process formulas, whose CNF representations could not be processed up till now.

  14. Applied Creativity: The Creative Marketing Breakthrough Model

    Science.gov (United States)

    Titus, Philip A.

    2007-01-01

    Despite the increasing importance of personal creativity in today's business environment, few conceptual creativity frameworks have been presented in the marketing education literature. The purpose of this article is to advance the integration of creativity instruction into marketing classrooms by presenting an applied creative marketing…

  15. Estimating Production Potentials: Expert Bias in Applied Decision Making

    International Nuclear Information System (INIS)

    A study was conducted to evaluate how workers predict manufacturing production potentials given positively and negatively framed information. Findings indicate the existence of a bias toward positive information and suggest that this bias may be reduced with experience but is never the less maintained. Experts err in the same way non experts do in differentially processing negative and positive information. Additionally, both experts and non experts tend to overestimate production potentials in a positive direction. The authors propose that these biases should be addressed with further research including cross domain analyses and consideration in training, workplace design, and human performance modeling

  16. Applying MDL to Learning Best Model Granularity

    CERN Document Server

    Gao, Q; Vitanyi, P; Gao, Qiong; Li, Ming; Vitanyi, Paul

    2000-01-01

    The Minimum Description Length (MDL) principle is solidly based on a provably ideal method of inference using Kolmogorov complexity. We test how the theory behaves in practice on a general problem in model selection: that of learning the best model granularity. The performance of a model depends critically on the granularity, for example the choice of precision of the parameters. Too high precision generally involves modeling of accidental noise and too low precision may lead to confusion of models that should be distinguished. This precision is often determined ad hoc. In MDL the best model is the one that most compresses a two-part code of the data set: this embodies ``Occam's Razor.'' In two quite different experimental settings the theoretical value determined using MDL coincides with the best value found experimentally. In the first experiment the task is to recognize isolated handwritten characters in one subject's handwriting, irrespective of size and orientation. Based on a new modification of elastic...

  17. Reduction of the complexity of product modelling by modularisation

    DEFF Research Database (Denmark)

    Andreasen, Mogens Myrup

    1998-01-01

    The complexity in handling product aspects in design and production may be reduced by using approaches, which are applied in the field of modular engineering. This unit-oriented "spelling" of products, leading to product models with encapsulation, is introduced.......The complexity in handling product aspects in design and production may be reduced by using approaches, which are applied in the field of modular engineering. This unit-oriented "spelling" of products, leading to product models with encapsulation, is introduced....

  18. Applying a Cognitive Model to Document Cycling.

    Science.gov (United States)

    Dorff, Diane Lee; Duin, Ann Hill

    1989-01-01

    Explores the writing model developed by Linda Flower and John Hayes, examining its usefulness in studying workplace writing from the social perspective. Finds that the model is a valuable tool from the cognitive perspective of composition research but notes its limitations in describing the group processes of collaborative writing. (MG)

  19. Applying the Sport Education Model to Tennis

    Science.gov (United States)

    Ayvazo, Shiri

    2009-01-01

    The physical education field abounds with theoretically sound curricular approaches such as fitness education, skill theme approach, tactical approach, and sport education. In an era that emphasizes authentic sport experiences, the Sport Education Model includes unique features that sets it apart from other curricular models and can be a valuable…

  20. Applied modelling and computing in social science

    CERN Document Server

    Povh, Janez

    2015-01-01

    In social science outstanding results are yielded by advanced simulation methods, based on state of the art software technologies and an appropriate combination of qualitative and quantitative methods. This book presents examples of successful applications of modelling and computing in social science: business and logistic process simulation and optimization, deeper knowledge extractions from big data, better understanding and predicting of social behaviour and modelling health and environment changes.

  1. Applying business strategy models in organizations

    OpenAIRE

    López Cuesta, Lidia; Franch Gutiérrez, Javier

    2014-01-01

    Increasing adoption of Open Source Software (OSS) in information system engineering has led to the emergence of different OSS business strate-gies that affect and shape organizations’ business models. In order to obtain the specific organizational model for a concrete organization that is adhering to a specific OSS business strategy, we need to instantiate the general knowledge included in this business strategy. This paper describe the process in which this general knowledge is instantiated ...

  2. Product Development Process Modeling

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    The use of Concurrent Engineering and other modern methods of product development and maintenance require that a large number of time-overlapped "processes" be performed by many people. However, successfully describing and optimizing these processes are becoming even more difficult to achieve. The perspective of industrial process theory (the definition of process) and the perspective of process implementation (process transition, accumulation, and inter-operations between processes) are used to survey the method used to build one base model (multi-view) process model.

  3. Professional applied physical training of future specialists of agricultural production

    Directory of Open Access Journals (Sweden)

    Karabanov Y.A.

    2015-01-01

    Full Text Available Purpose : develop and experimentally prove the contents, methods and forms of physical training of future specialists of agricultural production. This takes into account advanced course of professional applied physical preparation means kettlebell sport. Material : The study involved 141 students. Duration of study is 5 years. Results : It was found that a significant increase in indicators of flexibility, strength, coordination abilities of students promoted the use of exercises using weights of different weights. Confirmed the legitimacy of the use of such means of physical education for the development of muscle strength of the upper body, back, legs, abdominals. These muscles are the most loaded in the performance of professional activities of mechanical engineers. Conclusions : The program meets the basic criteria for the formation of curriculum for physical education. The program promotes the development of professional applications of physical qualities, motor skills and improve physical performance of students.

  4. Relativistic Computing Model Applied in Corporate Networks

    Directory of Open Access Journals (Sweden)

    Chau Sen Shia*1,

    2014-05-01

    Full Text Available Environmental computing information technology (it is one of the subjects of interest for organizations when the subject covers financial economics and return on investment for companies. This work aims to present as a contribution proposing a relativistic model of computation using the relativistic physics concepts and foundations of quantum mechanics to propose a new vision in the use of virtualization environment in corporate networks. The model was based on simulation and testing of connection with providers in virtualization environments with Datacenters and implementing the basics of relativity and quantum mechanics in communication with networks of companies, to establish alliances and resource sharing between organizations. The data were collected and then were performed calculations that demonstrate and identify connections and integrations that establish relations of cloud computing with the relativistic vision, in such a way that complement the approaches of physics and computing with the theories of the magnetic field and the propagation of light. The research is characterized as exploratory, because searches check physical connections with cloud computing, the network of companies and the adhesion of the proposed model. Were presented the relationship between the proposal and the practical application that makes it possible to describe the results of the main features, demonstrating the relativistic model integration with new technologies of virtualization of Datacenters, and optimize the resource with the propagation of light, electromagnetic waves, simultaneity, length contraction and time dilation

  5. Applying Fixed Effects to Hierarchical Segregation Models

    OpenAIRE

    Dina Shatnawi; Ronald Oaxaca; Michael Ransom

    2011-01-01

    This paper expands the empirical implementation of hierarchical segregation models to allow for the use of panel methods. We use firm level data collected between 1977 and 1985 from a regional grocery store that faced a title VII class-action lawsuit over gender discrimination much the same as Wal-Mart and Costco. Special problems arise in implementing decompositions in a fixed effects and random effects setting, especially when analyzing wage-level differences. We develop a variation of wage...

  6. Research on Urban Engineering Applying Location Models

    OpenAIRE

    Cosenza, Carlos Alberto N.; Lima, Fernando Rodrigues; Neves, Cesar das

    2010-01-01

    Location models can also be employed for previewing land use and occupation of urban areas. An analogy could be done considering an occupation typology (habitational buildings, industrial zone, etc.) as a project for an urban site (district, zone, land, etc.). A list of location factors that direct urban development could be selected from spatial, economic and social data records (population, market, education, prices, mobility, health care, etc.). The offer of these location factors could be...

  7. Applying fuel cell experience to sustainable power products

    Science.gov (United States)

    King, Joseph M.; O'Day, Michael J.

    Fuel cell power plants have demonstrated high efficiency, environmental friendliness, excellent transient response, and superior reliability and durability in spacecraft and stationary applications. Broader application of fuel cell technology promises significant contribution to sustainable global economic growth, but requires improvement to size, cost, fuel flexibility and operating flexibility. International Fuel Cells (IFC) is applying lessons learned from delivery of more than 425 fuel cell power plants and 3 million h of operation to the development of product technology which captures that promise. Key findings at the fuel cell power plant level include: (1) ancillary components account for more than 40% of the weight and nearly all unscheduled outages of hydrocarbon-fuelled power plants; a higher level of integration and simplification is required to achieve reasonable characteristics, (2) hydrocarbon fuel cell power plant components are highly interactive; the fuel processing approach and power plant operating pressure are major determinants of overall efficiency, and (3) achieving the durability required for heavy duty vehicles and stationary applications requires simultaneous satisfaction of electrochemical, materials and mechanical considerations in the design of the cell stack and other power plant components. Practical designs must minimize application specific equipment. Related lessons for stationary fuel cell power plants include: (1) within fuel specification limits, natural gas varies widely in heating value, minor constituents such as oxygen and nitrogen content and trace compounds such as the odorant; (2) city water quality varies widely; recovery of product water for process use avoids costly, complicated and site-specific water treatment systems, but water treatment is required to eliminate impurities and (3) the embedded protection functions for reliable operation of fuel cell power conditioners meet or exceed those required for connection to

  8. Product Knowledge Modelling and Management

    DEFF Research Database (Denmark)

    Zhang, Y.; MacCallum, K. J.; Duffy, Alex

    1996-01-01

    function-oriented design. Both Specific Product Knowledge and Product Domain Knowledge are modelled at two levels, a meta-model and an information-level.Following that, a computer-based scheme to manage the proposed product lknowledge models within a dynamically changing environment is presented.......The term, Product Knowledge is used to refer to two related but distinct concepts; the knowledge of a specific product (Specific Product Knowledge) and the knowledge of a product domain (Product Domain Knowledge). Modelling and managing Product Knowlege is an essential part of carrying out design.......A scheme is presented in this paper to model, i.e. classify, structure and formalise the product knowledge for the purpose of supporting function-oriented design. The product design specification and four types of required attributes of a specific product have been identified to form the Specific Product...

  9. Proactive Modeling of Market, Product and Production Architectures

    DEFF Research Database (Denmark)

    Mortensen, Niels Henrik; Hansen, Christian Lindschou; Hvam, Lars; Andreasen, Mogens Myrup

    This paper presents an operational model that allows description of market, products and production architectures. The main feature of this model is the ability to describe both structural and functional aspect of architectures. The structural aspect is an answer to the question: What constitutes...... the architecture, e.g. standard designs, design units and interfaces? The functional aspect is an answer to the question: What is the behaviour or the architecture, what is it able to do, i.e. which products at which performance levels can be derived from the architecture? Among the most important...... benefits of this model is the explicit ability to describe what the architecture is prepared for, and what it is not prepared for - concerning development of future derivative products. The model has been applied in a large scale global product development project. Among the most important benefits is...

  10. Numerical modeling of leachate production

    International Nuclear Information System (INIS)

    A key issue for sustainable development of Pakistan is the management and disposal of increased quantities of waste. The majority of the municipal solid waste is presently disposed off by tipping or dumping on the land surface- a process known as land filling. waste materials disposed off as land filling are progressively decomposed by biochemical and physical reactions , producing a number of By-products. Those of most concerned for environmental protection point of view are landfill gas and leachate. Landfill gas is a mixture of methane, carbon dioxide, oxygen and various trace gases, many of which can be detrimental to human health. Leachate is the liquid pollutant generated during waste decomposition, which has the potential to contaminate surface and ground water resources. The prediction of water resources is a fundamental consideration in managing landfill operations. Landfill sites should be designed and operated so as to control leachate production and hence minimize the risk of surface and groundwater pollution. Whether leachate is to be collect and treated or allowed to discharge to the surrounding soil and water , it may be essential to have estimates of leachate flow and strength. This paper considers the development of an applied numerical model named NUMMOL (Numerical Modeling of Leachate based on the waste balance approach, which simulates the leachate production, movement and distribution within landfill sites. NUMMOL incorporates the most appropriate mathematical models representing the various landfill hydrological processes. The moisture flow through waste layers is modeled using the models derived through experimental investigation. The primary purpose of the model is to estimate the leachate quantity and to assist in the comparison of landfill design alternatives as judged by their water balances. (authors)

  11. Learning to Apply Models of Materials While Explaining Their Properties

    Science.gov (United States)

    Karpin, Tiia; Juuti, Kalle; Lavonen, Jari

    2014-01-01

    Background: Applying structural models is important to chemistry education at the upper secondary level, but it is considered one of the most difficult topics to learn. Purpose: This study analyses to what extent in designed lessons students learned to apply structural models in explaining the properties and behaviours of various materials.…

  12. Finite element models applied in active structural acoustic control

    OpenAIRE

    Oude Nijhuis, Marco H.H.; de Boer; Rao, Vittal S.

    2002-01-01

    This paper discusses the modeling of systems for active structural acoustic control. The finite element method is applied to model structures including the dynamics of piezoelectric sensors and actuators. A model reduction technique is presented to make the finite element model suitable for controller design. The reduced structural model is combined with an acoustic model which uses the radiation mode concept. For a test case consisting of a rectangular plate with one piezo patch the model re...

  13. Finite element models applied in active structural acoustic control

    NARCIS (Netherlands)

    Oude Nijhuis, Marco H.H.; Boer, de André; Rao, Vittal S.

    2002-01-01

    This paper discusses the modeling of systems for active structural acoustic control. The finite element method is applied to model structures including the dynamics of piezoelectric sensors and actuators. A model reduction technique is presented to make the finite element model suitable for controll

  14. A nonlinear interface model applied to masonry structures

    Science.gov (United States)

    Lebon, Frédéric; Raffa, Maria Letizia; Rizzoni, Raffaella

    2015-12-01

    In this paper, a new imperfect interface model is presented. The model includes finite strains, micro-cracks and smooth roughness. The model is consistently derived by coupling a homogenization approach for micro-cracked media and arguments of asymptotic analysis. The model is applied to brick/mortar interfaces. Numerical results are presented.

  15. Essays on Applied Resource Economics Using Bioeconomic Optimization Models

    Science.gov (United States)

    Affuso, Ermanno

    With rising demographic growth, there is increasing interest in analytical studies that assess alternative policies to provide an optimal allocation of scarce natural resources while ensuring environmental sustainability. This dissertation consists of three essays in applied resource economics that are interconnected methodologically within the agricultural production sector of Economics. The first chapter examines the sustainability of biofuels by simulating and evaluating an agricultural voluntary program that aims to increase the land use efficiency in the production of biofuels of first generation in the state of Alabama. The results show that participatory decisions may increase the net energy value of biofuels by 208% and reduce emissions by 26%; significantly contributing to the state energy goals. The second chapter tests the hypothesis of overuse of fertilizers and pesticides in U.S. peanut farming with respect to other inputs and address genetic research to reduce the use of the most overused chemical input. The findings suggest that peanut producers overuse fungicide with respect to any other input and that fungi resistant genetically engineered peanuts may increase the producer welfare up to 36.2%. The third chapter implements a bioeconomic model, which consists of a biophysical model and a stochastic dynamic recursive model that is used to measure potential economic and environmental welfare of cotton farmers derived from a rotation scheme that uses peanut as a complementary crop. The results show that the rotation scenario would lower farming costs by 14% due to nitrogen credits from prior peanut land use and reduce non-point source pollution from nitrogen runoff by 6.13% compared to continuous cotton farming.

  16. Nonlinear Eddy Viscosity Models applied to Wind Turbine Wakes

    DEFF Research Database (Denmark)

    Laan, van der, Paul Maarten; Sørensen, Niels N.; Réthoré, Pierre-Elouan;

    2013-01-01

    The linear k−ε eddy viscosity model and modified versions of two existing nonlinear eddy viscosity models are applied to single wind turbine wake simulations using a Reynolds Averaged Navier-Stokes code. Results are compared with field wake measurements. The nonlinear models give better results...

  17. Calculation of fissile nuclides and fission products inventory applied to ETRR-1 research reactor

    International Nuclear Information System (INIS)

    The study of the nuclear reactor fuel safety implies studying physical mechanical, thermal and chemical proportions of the fuel during normal operation and accident conditions. A model was developed to calculate the fissile nuclides and fission products inventory in an operating reactor. The model considers the production and removal of different radionuclides leaking into account the decay schemes of each. The mathematical formulas were treated without any approximations. A decay model was developed for the period after reactor shutdown. The amount of different nuclides was evaluated for a given cooling time. Egypt test and research reactor number 1, ETRR-1. Was chosen to apply the model. The amount of about 200 nuclides was calculated. A certain nuclides was chosen to be presented based on their poisoning ratios. Criticality calculations were carried out to investigate the criticality condition of the reactor at different operating times. 4 fig

  18. MODIFIED GENETIC ALGORITHM APPLIED TO SOLVE PRODUCT FAMILY OPTIMIZATION PROBLEM

    Institute of Scientific and Technical Information of China (English)

    CHEN Chunbao; WANG Liya

    2007-01-01

    The product family design problem solved by evolutionary algorithms is discussed. A successfiil product family design method should achieve an optimal tradeoff among a set of competing objectives, which involves maximizing conunonality across the family of products and optimizing the performances of each product in the family. A 2-level chromosome structured genetic algorithm (2LCGA) is proposed to solve this dass of problems and its performance is analyzed in comparing its results with those obtained with other methods. By interpreting the chromosome as a 2-level linear structure, the variable commonality genetic algorithm (GA) is constructed to vary the amount of platform commonality and automatically searches across varying levels of commonality for the platform while trying to resolve the tradeoff between commonality and individual product performance within the product family during optimization process. By incorporating a commonality assessing index to the problem formulation, the 2LCGA optimize the product platform and its corresponding family of products in a single stage, which can yield improvements in the overall performance of the product family compared with two-stage approaches (the first stage involves determining the best settings for the platform variables and values of unique variables are found for each product in the second stage). The scope of the algorithm is also expanded by introducing a classification mechanism to allow multiple platforms to be considered during product family optimization, offering opportunities for superior overall design by more efficacious tradeoffs between commonality and performance. The effectiveness of 2LCGA is demonstrated through the design of a family of universal electric motors and comparison against previous results.

  19. Uncovering product development competence by applying the laddering technique

    DEFF Research Database (Denmark)

    Jensen, Bjarne; Harmsen, Hanne

    This paper addresses companies' lack of implementation of success factors in new product development. Drawing on theories in the competence perspective and an exploratory empirical study, the paper points to two major areas that have not been covered by previous studies on new product development...

  20. 14 CFR 39.15 - Does an airworthiness directive apply if the product has been changed?

    Science.gov (United States)

    2010-01-01

    ... the product has been changed? 39.15 Section 39.15 Aeronautics and Space FEDERAL AVIATION... directive apply if the product has been changed? Yes, an airworthiness directive applies to each product identified in the airworthiness directive, even if an individual product has been changed by...

  1. Applying life cycle management of colombian cocoa production

    Directory of Open Access Journals (Sweden)

    Oscar Orlando Ortiz-R

    2014-03-01

    Full Text Available The present research aims to evaluate the usefulness of the application of Life Cycle Management in the agricultural sector focusing on the environmental and socio-economic aspects of decision making in the Colombian cocoa production. Such appraisal is based on the application of two methodological tools: Life Cycle Assessment, which considers environmental impacts throughout the life cycle of the cocoa production system, and Taguchi Loss Function, which measures the economic impact of a process' deviation from production targets. Results show that appropriate improvements in farming practices and supply consumption can enhance decision-making in the agricultural cocoa sector towards sustainability. In terms of agri-business purposes, such qualitative shift allows not only meeting consumer demands for environmentally friendly products, but also increasing the productivity and competitiveness of cocoa production, all of which has helped Life Cycle Management gain global acceptance. Since farmers have an important role in improving social and economic indicators at the national level, more attention should be paid to the upgrading of their cropping practices. Finally, one fundamental aspect of national cocoa production is the institutional and governmental support available for farmers in face of socio-economic or technological needs.

  2. Comparison of two multiaxial fatigue models applied to dental implants

    Directory of Open Access Journals (Sweden)

    JM. Ayllon

    2015-07-01

    Full Text Available This paper presents two multiaxial fatigue life prediction models applied to a commercial dental implant. One model is called Variable Initiation Length Model and takes into account both the crack initiation and propagation phases. The second model combines the Theory of Critical Distance with a critical plane damage model to characterise the initiation and initial propagation of micro/meso cracks in the material. This paper discusses which material properties are necessary for the implementation of these models and how to obtain them in the laboratory from simple test specimens. It also describes the FE models developed for the stress/strain and stress intensity factor characterisation in the implant. The results of applying both life prediction models are compared with experimental results arising from the application of ISO-14801 standard to a commercial dental implant.

  3. Chemical Product Design: A new challenge of applied thermodynamics

    DEFF Research Database (Denmark)

    Abildskov, Jens; Kontogeorgis, Georgios

    2004-01-01

    Chemical products involving specialty chemicals and microstructured materials are often multicomponent systems. A number of five to 20 molecules is not unusual, comprising a range of different chemical compounds e.g. polymers, surfactants, solid particles and water. Milk is an example of such a p......Chemical products involving specialty chemicals and microstructured materials are often multicomponent systems. A number of five to 20 molecules is not unusual, comprising a range of different chemical compounds e.g. polymers, surfactants, solid particles and water. Milk is an example...... of such a product involving both solid-liquid phases and (non-equilibrium) metastable states. Thus, many of these products are colloidal systems of different types, e.g. liquid-liquid emulsions, suspensions, powders, solid and liquid dispersions, aerosols and sprays. The physical chemistry (thermodynamics...

  4. Applied systems biology - vanillin production in Saccharomyces cerevisiae

    DEFF Research Database (Denmark)

    Strucko, Tomas; Eriksen, Carsten; Nielsen, J.;

    2012-01-01

    Vanillin is the most important aroma compound based on market value, and natural vanillin is extracted from the cured seed pods of the Vanilla orchid. Most of the world’s vanillin, however, is obtained by chemical synthesis from petrochemicals or wood pulp lignins. As an alternative, de novo...... biosynthesis of vanillin in baker’s yeast Saccharomyces cerevisiae was recently demonstrated by successfully introducing the metabolic pathway for vanillin production in yeast. Nevertheless, the amount of vanillin produced in this S. cerevisiae strain is insufficient for commercial production and improvements...... need to be done. We have introduced the genes necessary for vanillin production in an identical manner in two different yeast strains S288c and CEN.PK,where comprehensive – omics datasets are available, hence, allowing vanillin production in the two strain backgrounds to be evaluated and compared in a...

  5. Productivity through Innovation: Applied Research at Canada's Colleges and Institutes

    Science.gov (United States)

    Association of Canadian Community Colleges, 2011

    2011-01-01

    Applied research at Canada's colleges and institutes has expanded rapidly over the last five years. This report provides an overview of the current context and positions colleges and institutes as key players in Canada's innovation system. The report builds upon findings of previous research and reports on the results of the 2009-2010 "Applied…

  6. Modelling Product Families for Product Configuration Systems with Product Variant Master

    DEFF Research Database (Denmark)

    Mortensen, Niels Henrik; Hvam, Lars; Haug, Anders

    2010-01-01

    -cards for modelling and visualising the parts and properties of a complete product family. The modelling techniques include: Customer, engineering and part views on the product assortment to model the properties, functions and structure of the product family. This also makes it possible to map the links...... further developed in cooperation with several industrial companies. This article refers to experiences from applying the modelling technique in three different companies. Based upon these experiences, the utility of the product variant master and CRC-cards is evaluated. Significance. Product configuration...... systems are increasingly used in industrial companies as a means for efficient design of customer tailored products. The design and implementation of product configuration systems is a new and challenging task for the industrial companies and calls for a scientifically based framework to support the...

  7. Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system

    International Nuclear Information System (INIS)

    This paper is keeping with the topic of two papers which treated dynamic reliability problems and were presented in previous conferences. Its aim is to confirm the potentialities of a method which combines the high modeling ability of the piecewise deterministic processes and the great computing power inherent to the Monte Carlo simulation. This method is now applied to a simplified but realistic offshore oil production system which is a hybrid system combining continuous-time and discrete-time dynamics. The results thus obtained have been compared with those given by an ad hoc Petri net model for comparison and validation purposes

  8. Experience in applying lean production concepts in the service sector

    Directory of Open Access Journals (Sweden)

    Dyrina Evgeniya

    2016-01-01

    Full Text Available This article describes the experience of implementing lean production tools in the company services. The authors have based the research of the chef’s work, built Ishikawa’s diagram on one of the most important problems of the company and proposed the cyclogram of cooks at work. Problems were identified using this technology after analyzing domestic and foreign experience in implementing lean production. The algorithm for implementing lean production and the necessary tools for achievement of the goals of the enterprise were authored on the basis of experience gained analyses of theoretical materials, which were tested on the basis of the small business «White Dragon».

  9. Applying the means-end chain concept to product development

    DEFF Research Database (Denmark)

    Søndergaard, Helle Alsted

    This paper proposes that the means-end chain (MEC) approach can influence the use of market information and inter-functional communication in new product development (NPD). The central question is whether market information represented by means-end chain data can be a vehicle for inter-functional......This paper proposes that the means-end chain (MEC) approach can influence the use of market information and inter-functional communication in new product development (NPD). The central question is whether market information represented by means-end chain data can be a vehicle for inter...

  10. Spectrophotometry with optical fibers applied to nuclear product processing

    International Nuclear Information System (INIS)

    Absorption spectrophotometry is widely used in laboratories for composition analysis and quality control of chemical processes. Using optical fibers for transmitting the light between the instrument and the process line allows to improve the safety and productivity of chemical processes, thanks to real time measurements. Such applications have been developed since 1975 in CEA for the monitoring of nuclear products. This has led to the development of fibers, measurement cells, and optical feedthrough sustaining high radiation doses, of fiber/spectrophotometer couplers, and finally of a photodiode array spectrophotometer optimized for being used together with optical fibers

  11. Nambu Jona-Lasinio models applied to dense hadronic matter

    International Nuclear Information System (INIS)

    The Nambu Jona-Lasinio model is briefly introduced and applied to dense baryonic matter. The effects of the regularization on the model parameters are discussed. Dense nuclear matter is discussed in the cases where either quarks or nucleons fill the Fermi sea. In the latter case the theory is compared to Walecka's relativistic mean field theory of nuclear matter

  12. Modeling Protein Folding and Applying It to a Relevant Activity

    Science.gov (United States)

    Nelson, Allan; Goetze, Jim

    2004-01-01

    The different levels of protein structure that can be easily understood by creating a model that simulates protein folding, which can then be evaluated by applying it to a relevant activity, is presented. The materials required and the procedure for constructing a protein folding model are mentioned.

  13. An applied general equilibrium model for Dutch agribusiness policy analysis.

    NARCIS (Netherlands)

    Peerlings, J.H.M.

    1993-01-01

    The purpose of this thesis was to develop a basic static applied general equilibrium (AGE) model to analyse the effects of agricultural policy changes on Dutch agribusiness. In particular the effects on inter-industry transactions, factor demand, income, and trade are of interest.The model is fairly

  14. Empirical modeling and data analysis for engineers and applied scientists

    CERN Document Server

    Pardo, Scott A

    2016-01-01

    This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creati...

  15. IMPROVEMENT OF QUALITY IN PRODUCTION PROCESS BY APPLYING KAIKAKU METHOD

    Directory of Open Access Journals (Sweden)

    Milan Radenkovic

    2013-12-01

    Full Text Available In this paper, Kaikaku method is presented. The essence of this method is introduction, principles and ways of implementation in the real systems. The main point how Kaikaku method influences on quality. It is presented on the practical example (furniture industry, one way how to implement Kaikaku method and how influence on quality improvement of production process.

  16. PRODUCTION OF BIODIESEL FROM ALGAE APPLIED TO AGRICULTURAL WASTEWATER TREATMENT

    Science.gov (United States)

    With increasing dependence on foreign oil, escalating energy prices, and persistent air and water pollution associated with energy production, the U.S. is in need of a clean-burning renewable energy sources. Biodiesel is a rapidly expanding alternative fuel that has the po...

  17. Modeling in applied sciences a kinetic theory approach

    CERN Document Server

    Pulvirenti, Mario

    2000-01-01

    Modeling complex biological, chemical, and physical systems, in the context of spatially heterogeneous mediums, is a challenging task for scientists and engineers using traditional methods of analysis Modeling in Applied Sciences is a comprehensive survey of modeling large systems using kinetic equations, and in particular the Boltzmann equation and its generalizations An interdisciplinary group of leading authorities carefully develop the foundations of kinetic models and discuss the connections and interactions between model theories, qualitative and computational analysis and real-world applications This book provides a thoroughly accessible and lucid overview of the different aspects, models, computations, and methodology for the kinetic-theory modeling process Topics and Features * Integrated modeling perspective utilized in all chapters * Fluid dynamics of reacting gases * Self-contained introduction to kinetic models * Becker–Doring equations * Nonlinear kinetic models with chemical reactions * Kinet...

  18. LEARNING SEMANTICS-ENHANCED LANGUAGE MODELS APPLIED TO UNSUEPRVISED WSD

    Energy Technology Data Exchange (ETDEWEB)

    VERSPOOR, KARIN [Los Alamos National Laboratory; LIN, SHOU-DE [Los Alamos National Laboratory

    2007-01-29

    An N-gram language model aims at capturing statistical syntactic word order information from corpora. Although the concept of language models has been applied extensively to handle a variety of NLP problems with reasonable success, the standard model does not incorporate semantic information, and consequently limits its applicability to semantic problems such as word sense disambiguation. We propose a framework that integrates semantic information into the language model schema, allowing a system to exploit both syntactic and semantic information to address NLP problems. Furthermore, acknowledging the limited availability of semantically annotated data, we discuss how the proposed model can be learned without annotated training examples. Finally, we report on a case study showing how the semantics-enhanced language model can be applied to unsupervised word sense disambiguation with promising results.

  19. Applying Functional Modeling for Accident Management of Nuclear Power Plant

    DEFF Research Database (Denmark)

    Lind, Morten; Zhang, Xinxin

    2014-01-01

    The paper investigate applications of functional modeling for accident management in complex industrial plant with special reference to nuclear power production. Main applications for information sharing among decision makers and decision support are identified. An overview of Multilevel Flow...

  20. Applying Functional Modeling for Accident Management of Nucler Power Plant

    DEFF Research Database (Denmark)

    Lind, Morten; Zhang, Xinxin

    2014-01-01

    The paper investigates applications of functional modeling for accident management in complex industrial plant with special reference to nuclear power production. Main applications for information sharing among decision makers and decision support are identified. An overview of Multilevel Flow...

  1. Exergy analyses in cement production applying waste fuel and mineralizer

    International Nuclear Information System (INIS)

    Highlights: • The exergy destroyed from calciner and rotary kiln correspond 47% and 30%. • Mineralizer saves energy. • Waste fuel provides 12% of energy demand. - Abstract: The cement industry is an energy-intensive industry and emits large quantities of carbon dioxide, so waste fuels could usefully substitute part of the fossil fuels. They can also help resolve air pollution problems associated with the use of fossil fuels. Other wastes have properties of reducing the thermal energy consumption of clinker production. They are named mineralizers. Then the application of both in the cement industry contributes to the reduction of environmental liabilities and provides lower cost of acquisition of fossil fuels. The aim of the present study is confirm the advantages of the application of waste SPL (spent pot lining) as a mineralizer in clinker production from an exergetic viewpoint

  2. Statistical modeling of bowing control applied to violin sound synthesis

    OpenAIRE

    Maestre E.; Blaauw M.; Bonada J.; Guaus E.; Perez A.

    2010-01-01

    Excitation-continuous music instrument control patterns are often not explicitly represented in current sound synthesis techniques when applied to automatic performance. Both physical model-based and sample-based synthesis paradigms would benefit from a flexible and accurate instrument control model, enabling the improvement of naturalness and realism. We present a framework for modeling bowing control parameters in violin performance. Nearly non-intrusive sensing techniques allow fo...

  3. An applied general equilibrium model for Dutch agribusiness policy analysis.

    OpenAIRE

    Peerlings, J.H.M.

    1993-01-01

    The purpose of this thesis was to develop a basic static applied general equilibrium (AGE) model to analyse the effects of agricultural policy changes on Dutch agribusiness. In particular the effects on inter-industry transactions, factor demand, income, and trade are of interest.The model is fairly general and could be used to analyse a great variety of agricultural policy changes. However, generality requires that the model should be adapted and extended for special research questions. This...

  4. MIMIC; An Applied General Equilibrium model for The Netherlands

    OpenAIRE

    Graafland, J.J.; Mooij, Ruud De

    1998-01-01

    textabstractMIMIC is CPB’s applied general equilibrium model for the Dutch economy. The model is designed to help Dutch policymakers investigate the structural labormarket implications of changes in the systems of taxation and social insurance. MIMIC combines a rich theoretical framework based on modern economic theories, a firm empirical foundation, and an elaborate description of the actual tax and social insurance systems in the Netherlands. The theoretical foundation of the model implies ...

  5. Applying Megamodelling to Model-Driven Performance Engineering

    OpenAIRE

    Fritzsche, Mathias; Brunelière, Hugo; Vanhooff, Bert; Berbers, Yolande; Jouault, Frédéric; Gilani, Wasif

    2009-01-01

    Model Driven Engineering (MDE) has to deal with an increasing number of interrelated modelling artefacts. The Model Driven Performance Engineering (MDPE) process is one concrete illustration of such a situation. This process applies MDE within the context of performance engineering in order to support domain experts, who generally lack the necessary performance expertise. In this paper, we demonstrate the use of megamodelling to manage the numerous artefacts involved in MDPE. Megamodelling en...

  6. Apply Functional Modelling to Consequence Analysis in Supervision Systems

    OpenAIRE

    Zhang, Xinxin; Lind, Morten; Gola, Giulio; Ravn, Ole

    2013-01-01

    This paper will first present the purpose and goals of applying functional modelling approach to consequence analysis by adopting Multilevel Flow Modelling (MFM). MFM Models describe a complex system in multiple abstraction levels in both means-end dimension and whole-part dimension. It contains causal relations between functions and goals. A rule base system can be developed to trace the causal relations and perform consequence propagations. This paper will illustrate how to use MFM for cons...

  7. Applied systems biology - vanillin production in Saccharomyces cerevisiae

    OpenAIRE

    Strucko, Tomas; Eriksen, Carsten; Nielsen, J.; Mortensen, Uffe Hasbro

    2012-01-01

    Vanillin is the most important aroma compound based on market value, and natural vanillin is extracted from the cured seed pods of the Vanilla orchid. Most of the world’s vanillin, however, is obtained by chemical synthesis from petrochemicals or wood pulp lignins. As an alternative, de novo biosynthesis of vanillin in baker’s yeast Saccharomyces cerevisiae was recently demonstrated by successfully introducing the metabolic pathway for vanillin production in yeast. Nevertheless, the amount of...

  8. ELECTROFLOCCULATION APPLIED TO THE TREATMENT OF OIL PRODUCTION WASTEWATER

    OpenAIRE

    RODRIGUES, Bárbara Martins; CERQUEIRA, Alexandre Andrade; Russo, Carlos; MARQUES, Monica Regina da Costa

    2010-01-01

    Treatment of industrial wastewater has grown in the last years and industries have been continuously searching improvements in the treatment`s processes based on CONAMA 357/2005 resolution. In this context, the electroflocculation may be a promising alternative due to its economic and environmental benefits, allowing water reuse. This work aims to study the treatment of oil production water by electroflocculation process, with aluminum electrode, in a batch reactor. The study focused on remov...

  9. Applying Network Technology to Improve TV News Production Mode

    Institute of Scientific and Technical Information of China (English)

    冷劲松; 林成栋

    2003-01-01

    With the development of database and computer network technology, traditional TV news production mode (TVNPM) faces great challenge. Up to now, evolution of TVNPM has experienced two stages: In the beginning, TV news is produced completely by hand, named as pipelining TVNPM in this paper. This production mode is limited to space and time, so its production cycle is very time-consuming, and it requires a lot of harmony in different departments; Subsequently, thanks to applications of database technology, a new TVNPM appears, which is named as pooled information resource TVNPM. Compared with pipelining TVNPM, this mode promotes information sharing. However, with the development of network technology, especially the Intranet and the Internet, the pooled information resource TVNPM receives strong impact, and it is referred to contrive a new TVNPM. This new TVNPM must support information sharing, remote collaboration, and interaction in communications so as to improve group work efficiency. In this paper, we present such a new TVNPM, namely, Network TVNPM, give a suit of system solution to support the new TVNPM, introduce the new workflow, and in the end analyze the advantages of Network TVNPM.

  10. Information-theoretic model selection applied to supernovae data

    CERN Document Server

    Biesiada, M

    2007-01-01

    There are several different theoretical ideas invoked to explain the dark energy with relatively little guidance of which one of them might be right. Therefore the emphasis of ongoing and forthcoming research in this field shifts from estimating specific parameters of cosmological model to the model selection. In this paper we apply information-theoretic model selection approach based on Akaike criterion as an estimator of Kullback-Leibler entropy. In particular, we present the proper way of ranking the competing models based on Akaike weights (in Bayesian language - posterior probabilities of the models). Out of many particular models of dark energy we focus on four: quintessence, quintessence with time varying equation of state, brane-world and generalized Chaplygin gas model and test them on Riess' Gold sample. As a result we obtain that the best model - in terms of Akaike Criterion - is the quintessence model. The odds suggest that although there exist differences in the support given to specific scenario...

  11. Applying the means-end chain concept to product development

    DEFF Research Database (Denmark)

    Søndergaard, Helle Alsted

    This paper proposes that the means-end chain (MEC) approach can influence the use of market information and inter-functional communication in new product development (NPD). The central question is whether market information represented by means-end chain data can be a vehicle for inter......-functional communication. This paper describes a PhD project - that through case studies and action research in two companies - aims at investigating the effects on communication and attitudes to communication by those involved when introducing means-end chain data as market information in NPD....

  12. Research on Digital Product Modeling Key Technologies of Digital Manufacturing

    Institute of Scientific and Technical Information of China (English)

    DING Guoping; ZHOU Zude; HU Yefa; ZHAO Liang

    2006-01-01

    With the globalization and diversification of the market and the rapid development of Information Technology (IT) and Artificial Intelligence (AI), the digital revolution of manufacturing is coming. One of the key technologies in digital manufacturing is product digital modeling. This paper firstly analyzes the information and features of the product digital model during each stage in the product whole lifecycle, then researches on the three critical technologies of digital modeling in digital manufacturing-product modeling, standard for the exchange of product model data and digital product data management. And the potential signification of the product digital model during the process of digital manufacturing is concluded-product digital model integrates primary features of each stage during the product whole lifecycle based on graphic features, applies STEP as data exchange mechanism, and establishes PDM system to manage the large amount, complicated and dynamic product data to implement the product digital model data exchange, sharing and integration.

  13. Methods for model selection in applied science and engineering.

    Energy Technology Data Exchange (ETDEWEB)

    Field, Richard V., Jr.

    2004-10-01

    Mathematical models are developed and used to study the properties of complex systems and/or modify these systems to satisfy some performance requirements in just about every area of applied science and engineering. A particular reason for developing a model, e.g., performance assessment or design, is referred to as the model use. Our objective is the development of a methodology for selecting a model that is sufficiently accurate for an intended use. Information on the system being modeled is, in general, incomplete, so that there may be two or more models consistent with the available information. The collection of these models is called the class of candidate models. Methods are developed for selecting the optimal member from a class of candidate models for the system. The optimal model depends on the available information, the selected class of candidate models, and the model use. Classical methods for model selection, including the method of maximum likelihood and Bayesian methods, as well as a method employing a decision-theoretic approach, are formulated to select the optimal model for numerous applications. There is no requirement that the candidate models be random. Classical methods for model selection ignore model use and require data to be available. Examples are used to show that these methods can be unreliable when data is limited. The decision-theoretic approach to model selection does not have these limitations, and model use is included through an appropriate utility function. This is especially important when modeling high risk systems, where the consequences of using an inappropriate model for the system can be disastrous. The decision-theoretic method for model selection is developed and applied for a series of complex and diverse applications. These include the selection of the: (1) optimal order of the polynomial chaos approximation for non-Gaussian random variables and stationary stochastic processes, (2) optimal pressure load model to be

  14. The product formula algorithm applied to linear and radiation diffusion

    International Nuclear Information System (INIS)

    We extend an unconditionally stable, explicit algorithm due to DeRaedt and Richardson, Farrell, and Long to include various linear and radiation diffusion problems in one and two dimensions with open and/or reflecting boundary conditions. We consider the ramifications of the ordering ambiguity problem (a feature that arises in the product formula scheme). In order to improve accuracy, we introduce a new type of subcycling based on the Lie-Trotter product formula. We consider a one-dimensional test problem which consists of a slab of material with a constant driving temperature source on one side. We compare the analytic and numerical results for the time evolution of the temperature profile in the linear and radiation diffusion problems as a function of Courant factor (α). We find excellent agreement except when α much-gt 1. For large α, the transient temperature profiles exhibit a open-quotes staircase close-quote like behavior. However, we show (albeit, not rigorously) that all solutions regardless of α approximately converge to the correct steady state solution. We also present results for a two-dimensional problem consisting of a constant driving temperature source on one side of a slab of material with an optically thick region interior to the slab

  15. A comparison of economic evaluation models as applied to geothermal energy technology

    Science.gov (United States)

    Ziman, G. M.; Rosenberg, L. S.

    1983-01-01

    Several cost estimation and financial cash flow models have been applied to a series of geothermal case studies. In order to draw conclusions about relative performance and applicability of these models to geothermal projects, the consistency of results was assessed. The model outputs of principal interest in this study were net present value, internal rate of return, or levelized breakeven price. The models used were VENVAL, a venture analysis model; the Geothermal Probabilistic Cost Model (GPC Model); the Alternative Power Systems Economic Analysis Model (APSEAM); the Geothermal Loan Guarantee Cash Flow Model (GCFM); and the GEOCOST and GEOCITY geothermal models. The case studies to which the models were applied include a geothermal reservoir at Heber, CA; a geothermal eletric power plant to be located at the Heber site; an alcohol fuels production facility to be built at Raft River, ID; and a direct-use, district heating system in Susanville, CA.

  16. ELECTROFLOCCULATION APPLIED TO THE TREATMENT OF OIL PRODUCTION WASTEWATER

    Directory of Open Access Journals (Sweden)

    RODRIGUES, Bárbara Martins

    2010-08-01

    Full Text Available Treatment of industrial wastewater has grown in the last years and industries have been continuously searching improvements in the treatment`s processes based on CONAMA 357/2005 resolution. In this context, the electroflocculation may be a promising alternative due to its economic and environmental benefits, allowing water reuse. This work aims to study the treatment of oil production water by electroflocculation process, with aluminum electrode, in a batch reactor. The study focused on removal of O&G, color, turbidity and boron. The results indicate that the process of electroflocculation is a technically viable alternative for removal of O&G, color and turbidity, obtaining average removals of 84%, 83% and 83%, respectively. However, it wasn’t efficient to remove boron

  17. Noise and vibrations theory applied to industrial production systems

    International Nuclear Information System (INIS)

    This work discusses different techniques for the detection and control of incandescent slag slopping in B.O.F. converters (Basic Oxygen Furnace), using on line measures of vibrations and noise.The slag slopping usually occurs during the process which refines the steel and it goes against the production indexes.It was chosen for this work the technique which analyzes the sound coming from the converter.The method requires to measures the sound in gases at high temperatures.For fulfill this requirement it was designed a prototype that allows to take the sound signal from atmospheres at very high temperature (the order of 1000 0C) and in corrosive conditions.There were carried out test in laboratory scale to validate the concepts proponed and the results were satisfactory.The equipment for measuring allowed recording the sound in gases at 850 ± 50 0C in a trustable manner

  18. Applied data analysis and modeling for energy engineers and scientists

    CERN Document Server

    Reddy, T Agami

    2011-01-01

    ""Applied Data Analysis and Modeling for Energy Engineers and Scientists"" discusses mathematical models, data analysis, and decision analysis in modeling. The approach taken in this volume focuses on the modeling and analysis of thermal systems in an engineering environment, while also covering a number of other critical areas. Other material covered includes the tools that researchers and engineering professionals will need in order to explore different analysis methods, use critical assessment skills and reach sound engineering conclusions. The book also covers process and system design and

  19. Applying a realistic evaluation model to occupational safety interventions

    DEFF Research Database (Denmark)

    Pedersen, Louise Møller

    2016-01-01

    characteristics of key actors (defined mechanisms), and the interplay between them, and can be categorized as expected or unexpected. However, little is known about ’how’ to include context and mechanisms in evaluations of intervention effectiveness. A revised realistic evaluation model has been introduced as a...... method to overcome these challenges. Focus is: What works, for whom, under what circumstances, in what respects, and how? Contextual factors such as underreporting of accidents/injuries and mechanisms, e.g. leader motivation, are included in the model and proposed to be measured using quantitative and...... qualitative methods. This revised model has, however, not been applied in a real life context. Method: The model is applied in a controlled, four-component, integrated behaviour-based and safety culture-based safety intervention study (2008-2010) in a medium-sized wood manufacturing company. The interventions...

  20. Mathematical models applied in inductive non-destructive testing

    Energy Technology Data Exchange (ETDEWEB)

    Wac-Wlodarczyk, A.; Goleman, R.; Czerwinski, D. [Technical University of Lublin, 20 618 Lublin, Nadbystrzycka St 38a (Poland); Gizewski, T. [Technical University of Lublin, 20 618 Lublin, Nadbystrzycka St 38a (Poland)], E-mail: t.gizewski@pollub.pl

    2008-10-15

    Non-destructive testing are the wide group of investigative methods of non-homogenous material. Methods of computer tomography, ultrasonic, magnetic and inductive methods still developed are widely applied in industry. In apparatus used for non-destructive tests, the analysis of signals is made on the basis of complex system answers. The answer is linearized due to the model of research system. In this paper, the authors will discuss the applications of the mathematical models applied in investigations of inductive magnetic materials. The statistical models and other gathered in similarity classes will be taken into consideration. Investigation of mathematical models allows to choose the correct method, which in consequence leads to precise representation of the inner structure of examined object. Inductive research of conductive media, especially those with ferromagnetic properties, are run with high frequency magnetic field (eddy-currents method), which considerably decrease penetration depth.

  1. Mathematical models applied in inductive non-destructive testing

    International Nuclear Information System (INIS)

    Non-destructive testing are the wide group of investigative methods of non-homogenous material. Methods of computer tomography, ultrasonic, magnetic and inductive methods still developed are widely applied in industry. In apparatus used for non-destructive tests, the analysis of signals is made on the basis of complex system answers. The answer is linearized due to the model of research system. In this paper, the authors will discuss the applications of the mathematical models applied in investigations of inductive magnetic materials. The statistical models and other gathered in similarity classes will be taken into consideration. Investigation of mathematical models allows to choose the correct method, which in consequence leads to precise representation of the inner structure of examined object. Inductive research of conductive media, especially those with ferromagnetic properties, are run with high frequency magnetic field (eddy-currents method), which considerably decrease penetration depth

  2. A Research on the E-commerce Applied to the Construction of Marketing Model

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The function of E-commerce is becoming more and more widely applied to many fields,which bring about some new challenges and opportunities for the construction of marketing model.It is proved that the more E-com- merce applied to the construction of marketing,the more precision of forecast for the enterprises can acquire,which is very helpful for the production and marketing of enterprises.Therefore,the research on the E-commerce applied to the construction of marketing is popular today.This paper applie...

  3. Modeling Organizational Design - Applying A Formalism Model From Theoretical Physics

    Directory of Open Access Journals (Sweden)

    Robert Fabac

    2008-06-01

    Full Text Available Modern organizations are exposed to diverse external environment influences. Currently accepted concepts of organizational design take into account structure, its interaction with strategy, processes, people, etc. Organization design and planning aims to align this key organizational design variables. At the higher conceptual level, however, completely satisfactory formulation for this alignment doesn’t exist. We develop an approach originating from the application of concepts of theoretical physics to social systems. Under this approach, the allocation of organizational resources is analyzed in terms of social entropy, social free energy and social temperature. This allows us to formalize the dynamic relationship between organizational design variables. In this paper we relate this model to Galbraith's Star Model and we also suggest improvements in the procedure of the complex analytical method in organizational design.

  4. Applying the health action process approach (HAPA) to the choice of health products: An exploratory study

    DEFF Research Database (Denmark)

    Krutulyte, Rasa; Grunert, Klaus G.; Scholderer, Joachim;

    role of the behavioural intention predictors such as risk perception, outcome expectations and self-efficacy. The model has been proved to be a useful framework for understanding consumer choosing health food and is substantial in the further application of dietary choice issues.......This paper presents the results of a qualitative pilot study that aimed to uncovering Danish consumers' motives for choosing health food. Schwarzer's (1992) health action process approach (HAPA) was applied to understand the process by which people chose health products. The research focused on the...

  5. Remarks on orthotropic elastic models applied to wood

    Directory of Open Access Journals (Sweden)

    Nilson Tadeu Mascia

    2006-09-01

    Full Text Available Wood is generally considered an anisotropic material. In terms of engineering elastic models, wood is usually treated as an orthotropic material. This paper presents an analysis of two principal anisotropic elastic models that are usually applied to wood. The first one, the linear orthotropic model, where the material axes L (Longitudinal, R( radial and T(tangential are coincident with the Cartesian axes (x, y, z, is more accepted as wood elastic model. The other one, the cylindrical orthotropic model is more adequate of the growth caracteristics of wood but more mathematically complex to be adopted in practical terms. Specifically due to its importance in wood elastic parameters, this paper deals with the fiber orientation influence in these models through adequate transformation of coordinates. As a final result, some examples of the linear model, which show the variation of elastic moduli, i.e., Young´s modulus and shear modulus, with fiber orientation are presented.

  6. Phosphazenes for energy production and storage: Applied and exploratory synthesis

    Science.gov (United States)

    Hess, Andrew R.

    This dissertation involves progress toward phosphazene-based ion conducting materials with a focus on structure-property relationships to improve these materials. This dissertation also includes some more fundamental exploratory syntheses to probe the limits of phosphazene chemistry and discover structure-property relationships that may be useful in designing compounds to fulfill important technical requirements. Chapter 1 provides a brief introduction to polymers and polyphosphazenes as well as ion-conducting materials and the contribution of polyphosphazene chemistry to that field. Chapter 1 also provides a brief introduction to some analytical techniques. Chapter 2 begins with the use of organophosphates as stand-alone non-volatile and fire-retardant liquid electrolyte media for dye sensitized solar cells (DSSCs) as well as their use as plasticizer in polymer gel electrolytes intended for application in lithium batteries. These organophosphates are the smallest phosphorus containing model molecules investigated in this dissertation. A homologous series of oligoalkyleneoxy substituted phosphates was synthesized and the effect of the substituent chain length on viscosity and conductivity was investigated. Small, test-scale DSSCs were constructed and showed promising results with overall cell efficiencies of up to 3.6% under un-optimized conditions. Conductivity measurements were performed on polymer gel-electrolytes based on poly[bis(2-(2-methoxyethoxy)ethoxy)phosphazene] (MEEP) plasticized with the phosphate with the best combination of properties, using a system loaded with lithium trifluoromethanesulfonate as the charge carrier. In chapter 3 the effect of the cation of the charge carrier species on the anionic conductivity of DSSC type electrolytes is evaluated using hexakis(2-(2-methoxyethoxy)ethoxy)cyclotriphosphazene (MEE-trimer) as a small molecule model for MEEP. The iodides of lithium, sodium, and ammonium as well as the ionic liquid, 1-propyl-3

  7. Predictive control applied to an evaporator mathematical model

    Directory of Open Access Journals (Sweden)

    Daniel Alonso Giraldo Giraldo

    2010-07-01

    Full Text Available This paper outlines designing a predictive control model (PCM applied to a mathematical model of a falling film evaporator with mechanical steam compression like those used in the dairy industry. The controller was designed using the Connoisseur software package and data gathered from the simulation of a non-linear mathematical model. A control law was obtained from minimising a cost function sublect to dynamic system constraints, using a quadratic programme (QP algorithm. A linear programming (LP algorithm was used for finding a sub-optimal operation point for the process in stationary state.

  8. Applying Functional Modeling for Accident Management of Nuclear Power Plant

    International Nuclear Information System (INIS)

    The paper investigate applications of functional modeling for accident management in complex industrial plant with special reference to nuclear power production. Main applications for information sharing among decision makers and decision support are identified. An overview of Multilevel Flow Modeling is given and a detailed presentation of the foundational means-end concepts is presented and the conditions for proper use in modelling accidents are identified. It is shown that Multilevel Flow Modeling can be used for modelling and reasoning about design basis accidents. Its possible role for information sharing and decision support in accidents beyond design basis is also indicated. A modelling example demonstrating the application of Multilevel Flow Modelling and reasoning for a PWR LOCA is presented

  9. A general diagnostic model applied to language testing data.

    Science.gov (United States)

    von Davier, Matthias

    2008-11-01

    Probabilistic models with one or more latent variables are designed to report on a corresponding number of skills or cognitive attributes. Multidimensional skill profiles offer additional information beyond what a single test score can provide, if the reported skills can be identified and distinguished reliably. Many recent approaches to skill profile models are limited to dichotomous data and have made use of computationally intensive estimation methods such as Markov chain Monte Carlo, since standard maximum likelihood (ML) estimation techniques were deemed infeasible. This paper presents a general diagnostic model (GDM) that can be estimated with standard ML techniques and applies to polytomous response variables as well as to skills with two or more proficiency levels. The paper uses one member of a larger class of diagnostic models, a compensatory diagnostic model for dichotomous and partial credit data. Many well-known models, such as univariate and multivariate versions of the Rasch model and the two-parameter logistic item response theory model, the generalized partial credit model, as well as a variety of skill profile models, are special cases of this GDM. In addition to an introduction to this model, the paper presents a parameter recovery study using simulated data and an application to real data from the field test for TOEFL Internet-based testing. PMID:17535481

  10. The BB/NBD + 1 Model Applied to Rotation Policy

    OpenAIRE

    Kyeho Yun; Bruce Buchanan; Ambar G. Rao

    1991-01-01

    An early dismissal policy for unproductive recruiters is proposed. The policy is based on a bivariate stochastic model for productivity; this model considers both incidence of reporting a positive quantity of sales and the quantity per report. All recruiters are observed for a probational period; those who exceed minimum incidence and quantity requirements are allowed to continue to the end of a (fixed) maximum tenure while others are replaced with new recruiters after the probational period....

  11. Applied systems ecology: models, data, and statistical methods

    Energy Technology Data Exchange (ETDEWEB)

    Eberhardt, L L

    1976-01-01

    In this report, systems ecology is largely equated to mathematical or computer simulation modelling. The need for models in ecology stems from the necessity to have an integrative device for the diversity of ecological data, much of which is observational, rather than experimental, as well as from the present lack of a theoretical structure for ecology. Different objectives in applied studies require specialized methods. The best predictive devices may be regression equations, often non-linear in form, extracted from much more detailed models. A variety of statistical aspects of modelling, including sampling, are discussed. Several aspects of population dynamics and food-chain kinetics are described, and it is suggested that the two presently separated approaches should be combined into a single theoretical framework. It is concluded that future efforts in systems ecology should emphasize actual data and statistical methods, as well as modelling.

  12. Applying Ontological Engineering to Ecological Modelling: Detection of Conceptual Errors

    OpenAIRE

    Kalfoglou, Yannis

    1998-01-01

    Despite the fact that ontologies have gained great interest by the knowledge based systems community in the recent years, there is a dearth of applications based on formal ontologies. In the paper we shed light in an undiscovered corner in the use of formal ontologies: use of ontological constraints in combination with meta-interpretation in order to reveal potential conceptual errors in specifications. We applied this approach to ecological modelling and we report here 7 potential error case...

  13. Applying learning style models to prioritize conflicting goals

    OpenAIRE

    Martínez Carod, Nadina; Cechich, Alejandra

    2004-01-01

    In this paper, we explicitly consider a learning style model to extend a goal-oriented requirements analysis method in order to characterize stakeholders’ preferences in communication processes. The success of applying this method depends on the definition of the goals involved, and on the prioritization and selection among conflicting goals. Our proposal focalises on the resolution of this kind of conflicts studying the way people perceive, understand, learn and process information. The char...

  14. Multisectorial models applied to the environment: an analysis for catalonia

    OpenAIRE

    Pié Dols, Laia

    2010-01-01

    The objective of this doctoral thesis is to apply different multisectorial models available to analyse the impact that would had on the Catalan economy as a result of the introduction of policies designed to reduce emissions of greenhouse effect gases and save energy, and also at the same time to improve the environmental competitiveness of both individual companies and the economy as a whole. For the purposes of this thesis I have analysed the six greenhouse gases that are regulated by the K...

  15. An applied model for measuring the knowledge sharing capability

    OpenAIRE

    Babak Sohrabi Yurtchi; Iman Raeesi Vanani; Sepideh Shafia

    2010-01-01

    Nowadays, knowledge sharing has become a strategic source of gaining and preserving competitive advantage. Acquiring this advantage requires solutions and approaches that make the organizations capable of measuring their knowledge sharing capabilities. The initial goal of this paper is to present an applied model for measuring the knowledge sharing capability through the identification of the most approved and practical measurement indicators in this area. In the next step, there has been an ...

  16. MODELING EXTENSIVE LIVESTOCK PRODUCTION SYSTEMS: AN APPLICATION TO SHEEP PRODUCTION IN KAZAKHSTAN

    OpenAIRE

    Howitt, Richard E.; Kobayashi, Mimako; Jarvis, Lovell S.; Laca, Emilio A

    2003-01-01

    A stochastic dynamic programming model for extensive livestock systems is developed. The model optimizes sales/retention decisions when future forage production, which affects animal performance and hence profitability, is uncertain. The model is applied to sheep production in Kazakhstan to evaluate policy alternatives.

  17. Fractional calculus model of electrical impedance applied to human skin.

    Directory of Open Access Journals (Sweden)

    Zoran B Vosika

    Full Text Available Fractional calculus is a mathematical approach dealing with derivatives and integrals of arbitrary and complex orders. Therefore, it adds a new dimension to understand and describe basic nature and behavior of complex systems in an improved way. Here we use the fractional calculus for modeling electrical properties of biological systems. We derived a new class of generalized models for electrical impedance and applied them to human skin by experimental data fitting. The primary model introduces new generalizations of: 1 Weyl fractional derivative operator, 2 Cole equation, and 3 Constant Phase Element (CPE. These generalizations were described by the novel equation which presented parameter [Formula: see text] related to remnant memory and corrected four essential parameters [Formula: see text] We further generalized single generalized element by introducing specific partial sum of Maclaurin series determined by parameters [Formula: see text] We defined individual primary model elements and their serial combination models by the appropriate equations and electrical schemes. Cole equation is a special case of our generalized class of models for[Formula: see text] Previous bioimpedance data analyses of living systems using basic Cole and serial Cole models show significant imprecisions. Our new class of models considerably improves the quality of fitting, evaluated by mean square errors, for bioimpedance data obtained from human skin. Our models with new parameters presented in specific partial sum of Maclaurin series also extend representation, understanding and description of complex systems electrical properties in terms of remnant memory effects.

  18. Fractional calculus model of electrical impedance applied to human skin.

    Science.gov (United States)

    Vosika, Zoran B; Lazovic, Goran M; Misevic, Gradimir N; Simic-Krstic, Jovana B

    2013-01-01

    Fractional calculus is a mathematical approach dealing with derivatives and integrals of arbitrary and complex orders. Therefore, it adds a new dimension to understand and describe basic nature and behavior of complex systems in an improved way. Here we use the fractional calculus for modeling electrical properties of biological systems. We derived a new class of generalized models for electrical impedance and applied them to human skin by experimental data fitting. The primary model introduces new generalizations of: 1) Weyl fractional derivative operator, 2) Cole equation, and 3) Constant Phase Element (CPE). These generalizations were described by the novel equation which presented parameter [Formula: see text] related to remnant memory and corrected four essential parameters [Formula: see text] We further generalized single generalized element by introducing specific partial sum of Maclaurin series determined by parameters [Formula: see text] We defined individual primary model elements and their serial combination models by the appropriate equations and electrical schemes. Cole equation is a special case of our generalized class of models for[Formula: see text] Previous bioimpedance data analyses of living systems using basic Cole and serial Cole models show significant imprecisions. Our new class of models considerably improves the quality of fitting, evaluated by mean square errors, for bioimpedance data obtained from human skin. Our models with new parameters presented in specific partial sum of Maclaurin series also extend representation, understanding and description of complex systems electrical properties in terms of remnant memory effects. PMID:23577065

  19. Online traffic flow model applying dynamic flow-density relation

    International Nuclear Information System (INIS)

    This dissertation describes a new approach of the online traffic flow modelling based on the hydrodynamic traffic flow model and an online process to adapt the flow-density relation dynamically. The new modelling approach was tested based on the real traffic situations in various homogeneous motorway sections and a motorway section with ramps and gave encouraging simulation results. This work is composed of two parts: first the analysis of traffic flow characteristics and second the development of a new online traffic flow model applying these characteristics. For homogeneous motorway sections traffic flow is classified into six different traffic states with different characteristics. Delimitation criteria were developed to separate these states. The hysteresis phenomena were analysed during the transitions between these traffic states. The traffic states and the transitions are represented on a states diagram with the flow axis and the density axis. For motorway sections with ramps the complicated traffic flow is simplified and classified into three traffic states depending on the propagation of congestion. The traffic states are represented on a phase diagram with the upstream demand axis and the interaction strength axis which was defined in this research. The states diagram and the phase diagram provide a basis for the development of the dynamic flow-density relation. The first-order hydrodynamic traffic flow model was programmed according to the cell-transmission scheme extended by the modification of flow dependent sending/receiving functions, the classification of cells and the determination strategy for the flow-density relation in the cells. The unreasonable results of macroscopic traffic flow models, which may occur in the first and last cells in certain conditions are alleviated by applying buffer cells between the traffic data and the model. The sending/receiving functions of the cells are determined dynamically based on the classification of the

  20. Image reconstruction techniques applied to nuclear mass models

    Science.gov (United States)

    Morales, Irving O.; Isacker, P. Van; Velazquez, V.; Barea, J.; Mendoza-Temis, J.; Vieyra, J. C. López; Hirsch, J. G.; Frank, A.

    2010-02-01

    A new procedure is presented that combines well-known nuclear models with image reconstruction techniques. A color-coded image is built by taking the differences between measured masses and the predictions given by the different theoretical models. This image is viewed as part of a larger array in the (N,Z) plane, where unknown nuclear masses are hidden, covered by a “mask.” We apply a suitably adapted deconvolution algorithm, used in astronomical observations, to “open the window” and see the rest of the pattern. We show that it is possible to improve significantly mass predictions in regions not too far from measured nuclear masses.

  1. Image reconstruction techniques applied to nuclear mass models

    International Nuclear Information System (INIS)

    A new procedure is presented that combines well-known nuclear models with image reconstruction techniques. A color-coded image is built by taking the differences between measured masses and the predictions given by the different theoretical models. This image is viewed as part of a larger array in the (N,Z) plane, where unknown nuclear masses are hidden, covered by a 'mask'.' We apply a suitably adapted deconvolution algorithm, used in astronomical observations, to 'open the window' and see the rest of the pattern. We show that it is possible to improve significantly mass predictions in regions not too far from measured nuclear masses.

  2. Inexpensive rf modeling and analysis techniques as applied to cyclotrons

    International Nuclear Information System (INIS)

    A review and expansion of the circuit analogy method of modeling and analysing multiconductor TEM mode rf resonators is described. This method was used to predict the performance of the NSCL K500 and K1200 cyclotron resonators and the results compared well to the measured performance. The method is currently being applied as the initial stage of the design process to optimize the performance of the rf resonators for a proposed K250 cyclotron for medical applications. Although this technique requires an experienced rf modeller, the input files tend to be simple and small, the software is very inexpensive or free, and the computer runtimes are nearly instantaneous

  3. Applying the Five-Factor Model to Game Design

    OpenAIRE

    Bildtgård, Marcus

    2014-01-01

    What makes us like or dislike certain games? Is there relation between our tastes in games and our personalities and can it be measured? This dissertation examines gamer personalities and game attributes with the help of the Five-Factor Model, also called The Big Five. It treats an experiment on how to apply the Five-Factor Model to games and their players and what it may be used for. By interviewing gamers, recording their favored and unfavored games, letting the gamers take a Big Five perso...

  4. Polymer science applied to petroleum production; Ciencia de polimeros aplicada a producao de petroleo

    Energy Technology Data Exchange (ETDEWEB)

    Lucas, Elizabete F.; Mansur, Claudia R.E.; Garreto, Maria S.E.; Honse, Siller O.; Mazzeo, Claudia P.P. [Universidade Federal do Rio de Janeiro/ Instituto de Macromoleculas/ Laboratorio de Macromoleculas e Coloides na Industria de Petroleo, Rio de Janeiro, RJ (Brazil)], e-mail: elucas@ima.ufrj.br

    2011-07-01

    The petroleum production comprises several operations, from well drilling to oil and water treatment, in which polymer science is applied. This work is focused in the phase behavior of asphaltenes that can be evaluated by precipitation tests and particle size determination. Recent researches show that the petroleum can be diluted with a specific model solvent, without causing any changes on asphaltenes phase behavior, and that a representative model system can be obtained if asphaltenes could be extracted using n-alkane as low as C1. The phase behavior of asphaltenes directly depends on the solubility parameter, which can be estimated for petroleum and asphaltenic fractions by microcalorimetry. More polar asphaltenes are not completely stabilized by less polar molecules, and this affects the stability of the A/O emulsions. There is a relationship between the amount of polar groups in the polymer chain and its capability in stabilizing/flocculating the asphaltenes, which interferes in the asphaltenes particle sizes. (author)

  5. Probabilistic Analysis Techniques Applied to Complex Spacecraft Power System Modeling

    Science.gov (United States)

    Hojnicki, Jeffrey S.; Rusick, Jeffrey J.

    2005-01-01

    Electric power system performance predictions are critical to spacecraft, such as the International Space Station (ISS), to ensure that sufficient power is available to support all the spacecraft s power needs. In the case of the ISS power system, analyses to date have been deterministic, meaning that each analysis produces a single-valued result for power capability because of the complexity and large size of the model. As a result, the deterministic ISS analyses did not account for the sensitivity of the power capability to uncertainties in model input variables. Over the last 10 years, the NASA Glenn Research Center has developed advanced, computationally fast, probabilistic analysis techniques and successfully applied them to large (thousands of nodes) complex structural analysis models. These same techniques were recently applied to large, complex ISS power system models. This new application enables probabilistic power analyses that account for input uncertainties and produce results that include variations caused by these uncertainties. Specifically, N&R Engineering, under contract to NASA, integrated these advanced probabilistic techniques with Glenn s internationally recognized ISS power system model, System Power Analysis for Capability Evaluation (SPACE).

  6. Mathematical modelling applied to LiDAR data

    Directory of Open Access Journals (Sweden)

    Javier Estornell

    2013-06-01

    Full Text Available The aim of this article is to explain the application of several mathematic calculations to LiDAR (Light Detection And Ranging data to estimate vegetation parameters and modelling the relief of a forest area in the town of Chiva (Valencia. To represent the surface that describes the topography of the area, firstly, morphological filters were applied iteratively to select LiDAR ground points. From these data, the Triangulated Irregular Network (TIN structure was applied to model the relief of the area. From LiDAR data the canopy height model (CHM was also calculated. This model allowed obtaining bare soil, shrub and tree vegetation mapping in the study area. In addition, biomass was estimated from measurements taken in the field in 39 circular plots of radius 0.5 m and the 95th percentile of the LiDAR height datanincluded in each plot. The results indicated a high relationship between the two variables (measurednbiomass and 95th percentile with a coeficient of determination (R2 of 0:73. These results reveal the importance of using mathematical modelling to obtain information of the vegetation and land relief from LiDAR data.

  7. Online traffic flow model applying dynamic flow-density relation

    CERN Document Server

    Kim, Y

    2002-01-01

    This dissertation describes a new approach of the online traffic flow modelling based on the hydrodynamic traffic flow model and an online process to adapt the flow-density relation dynamically. The new modelling approach was tested based on the real traffic situations in various homogeneous motorway sections and a motorway section with ramps and gave encouraging simulation results. This work is composed of two parts: first the analysis of traffic flow characteristics and second the development of a new online traffic flow model applying these characteristics. For homogeneous motorway sections traffic flow is classified into six different traffic states with different characteristics. Delimitation criteria were developed to separate these states. The hysteresis phenomena were analysed during the transitions between these traffic states. The traffic states and the transitions are represented on a states diagram with the flow axis and the density axis. For motorway sections with ramps the complicated traffic fl...

  8. Applying New Laser Interaction Models to the ORION Problem

    International Nuclear Information System (INIS)

    Previously, Phipps, et al. developed a model that permitted laser ablation impulse predictions within a factor of two over an extremely broad range of pulse durations and wavelengths in the plasma regime. This model lacked the ability to predict the intensity for optimum impulse generation. For the lower-intensity vapor regime, below the plasma transition, Sinko developed a useful, fluence-dependent model which predicts impulse delivered for pulsed lasers on polymers at a specific wavelength. Phipps subsequently developed an alternate model which treats elemental solids in the vapor regime, that only requires knowledge of basic material parameters and vapor pressure vs. temperature data. These data, except for optical absorptivity, are wavelength-independent. A simple technique combines either vapor model with the plasma model to form a complete model that moves smoothly through the vapor to plasma transition. In this paper, we apply these models to show the optimum momentum coupling fluence on target, at the transition from the vapor to the plasma regimes, for aluminum (a typical debris material) and polyoxymethylene (representing polymeric debris). The application of this work is the ORION laser space debris mitigation concept. This is an improvement over previous work, in which this optimum was only estimated from the plasma ignition threshold. We present calculations showing how impulse delivered to debris targets in the ORION concept varies with pulse duration, at an optimum fluence determined by nonlinear optical effects in the Earth's atmosphere.

  9. Measuring productivity differences in equilibrium search models

    DEFF Research Database (Denmark)

    Lanot, Gauthier; Neumann, George R.

    1996-01-01

    Equilibrium search models require unobserved heterogeneity in productivity to fit observed wage distribution data, but provide no guidance about the location parameter of the heterogeneity. In this paper we show that the location of the productivity heterogeneity implies a mode in a kernel density...... estimate of the wage distribution. The number of such modes and their location are identified using bump hunting techniques due to Silverman (1981). These techniques are applied to Danish panel data on workers and firms. These estimates are used to assess the importance of employer wage policy....

  10. Product models for the Construction industry

    DEFF Research Database (Denmark)

    Sørensen, Lars Schiøtt

    1996-01-01

    Different types of product models for the building sector was elaborated and grouped. Some discussion on the different models was given. The "definition" of Product models was given.......Different types of product models for the building sector was elaborated and grouped. Some discussion on the different models was given. The "definition" of Product models was given....

  11. Apply a hydrological model to estimate local temperature trends

    International Nuclear Information System (INIS)

    Continuous times series {f(x)} such as a depth of water is written f(x) = T(x)+P(x)+S(x)+C(x) in hydrological science where T(x),P(x),S(x) and C(x) are called the trend, periodic, stochastic and catastrophic components respectively. We simplify this model and apply it to the local temperature data such as given E. Halley (1693), the UK (1853-2010), Germany (1880-2010), Japan (1876-2010). We also apply the model to CO2 data. The model coefficients are evaluated by a symbolic computation by using a standard personal computer. The accuracy of obtained nonlinear curve is evaluated by the arithmetic mean of relative errors between the data and estimations. E. Halley estimated the temperature of Gresham College from 11/1692 to 11/1693. The simplified model shows that the temperature at the time rather cold compared with the recent of London. The UK and Germany data sets show that the maximum and minimum temperatures increased slowly from the 1890s to 1940s, increased rapidly from the 1940s to 1980s and have been decreasing since the 1980s with the exception of a few local stations. The trend of Japan is similar to these results

  12. A deterministic aggregate production planning model considering quality of products

    International Nuclear Information System (INIS)

    Aggregate Production Planning (APP) is a medium-term planning which is concerned with the lowest-cost method of production planning to meet customers' requirements and to satisfy fluctuating demand over a planning time horizon. APP problem has been studied widely since it was introduced and formulated in 1950s. However, in several conducted studies in the APP area, most of the researchers have concentrated on some common objectives such as minimization of cost, fluctuation in the number of workers, and inventory level. Specifically, maintaining quality at the desirable level as an objective while minimizing cost has not been considered in previous studies. In this study, an attempt has been made to develop a multi-objective mixed integer linear programming model that serves those companies aiming to incur the minimum level of operational cost while maintaining quality at an acceptable level. In order to obtain the solution to the multi-objective model, the Fuzzy Goal Programming approach and max-min operator of Bellman-Zadeh were applied to the model. At the final step, IBM ILOG CPLEX Optimization Studio software was used to obtain the experimental results based on the data collected from an automotive parts manufacturing company. The results show that incorporating quality in the model imposes some costs, however a trade-off should be done between the cost resulting from producing products with higher quality and the cost that the firm may incur due to customer dissatisfaction and sale losses.

  13. A deterministic aggregate production planning model considering quality of products

    Science.gov (United States)

    Madadi, Najmeh; Yew Wong, Kuan

    2013-06-01

    Aggregate Production Planning (APP) is a medium-term planning which is concerned with the lowest-cost method of production planning to meet customers' requirements and to satisfy fluctuating demand over a planning time horizon. APP problem has been studied widely since it was introduced and formulated in 1950s. However, in several conducted studies in the APP area, most of the researchers have concentrated on some common objectives such as minimization of cost, fluctuation in the number of workers, and inventory level. Specifically, maintaining quality at the desirable level as an objective while minimizing cost has not been considered in previous studies. In this study, an attempt has been made to develop a multi-objective mixed integer linear programming model that serves those companies aiming to incur the minimum level of operational cost while maintaining quality at an acceptable level. In order to obtain the solution to the multi-objective model, the Fuzzy Goal Programming approach and max-min operator of Bellman-Zadeh were applied to the model. At the final step, IBM ILOG CPLEX Optimization Studio software was used to obtain the experimental results based on the data collected from an automotive parts manufacturing company. The results show that incorporating quality in the model imposes some costs, however a trade-off should be done between the cost resulting from producing products with higher quality and the cost that the firm may incur due to customer dissatisfaction and sale losses.

  14. Applying a Dynamic Resource Supply Model in a Smart Grid

    Directory of Open Access Journals (Sweden)

    Kaiyu Wan

    2014-09-01

    Full Text Available Dynamic resource supply is a complex issue to resolve in a cyber-physical system (CPS. In our previous work, a resource model called the dynamic resource supply model (DRSM has been proposed to handle resources specification, management and allocation in CPS. In this paper, we are integrating the DRSM with service-oriented architecture and applying it to a smart grid (SG, one of the most complex CPS examples. We give the detailed design of the SG for electricity charging request and electricity allocation between plug-in hybrid electric vehicles (PHEV and DRSM through the Android system. In the design, we explain a mechanism for electricity consumption with data collection and re-allocation through ZigBee network. In this design, we verify the correctness of this resource model for expected electricity allocation.

  15. Liquid-drop model applied to heavy ions irradiation

    International Nuclear Information System (INIS)

    Liquid-drop model is used, previously applied in the study of radiation damage in metals, in an energy range not covered by molecular dynamics, in order to understand experimental data of particle tracks in an organic material (Makrofol E), which cannot be accurately described by the existing theoretical methods. The nuclear and electronic energy depositions are considered for each ion considered and the evolution of the thermal explosion is evaluated. The experimental observation of particle tracks in a region previously considered as 'prohibited' are justified. Although the model used has free parameters and some discrepancies with the experimental diametrical values exist, the agreement obtained is highly superior than that of other existing models. (author)

  16. Climate Change and Market Collapse: A Model Applied to Darfur

    Directory of Open Access Journals (Sweden)

    Ola Olsson

    2016-03-01

    Full Text Available A recurring argument in the global debate is that climate deterioration is likely to make social conflicts over diminishing natural resources more common in the future. The exact mechanism behind such a development has so far not been successfully characterized in the literature. In this paper, we present a general model of a community populated by farmers and herders who can either divide up land in a market economy or in autarky. The key insight from our model is that decreasing resources can make trade between the two groups collapse, which in turn makes each group’s welfare independent of that of the other. Predictions from the model are then applied to the conflict in Darfur. Our analysis suggests that three decades of drought in the area can at least partially explain the observed disintegration of markets and the subsequent rise of social tensions.

  17. Surface-bounded growth modeling applied to human mandibles

    DEFF Research Database (Denmark)

    Andresen, Per Rønsholt

    1999-01-01

    pointing more upward. The full dataset consists of 31 mandibles from six patients. Each patient is longitudinally CT scanned between three and seven times. Age range is 1 month to 12 years old for the scans. Growth modeling consists of three overall steps: 1.extraction of features. 2.registration of the...... old mandible based on the 3 month old scan. When using successively more recent scans as basis for the model the error drops to 2.0 mm for the 11 years old scan. Thus, it seems reasonable to assume that the mandibular growth is linear.......This thesis presents mathematical and computational techniques for three dimensional growth modeling applied to human mandibles. The longitudinal shape changes make the mandible a complex bone. The teeth erupt and the condylar processes change direction, from pointing predominantly backward to...

  18. Three-Dimensional Gravity Model Applied to Underwater Navigation

    Institute of Scientific and Technical Information of China (English)

    YAN Lei; FENG Hao; DENG Zhongliang; GAO Zhengbing

    2004-01-01

    At present, new integrated navigation, which usesthe location function of reference gravity anomaly map to control the errors of the inertial navigation system (INS), has been developed in marine navigation. It is named the gravityaided INS. Both the INS and real-time computation of gravity anomalies need a 3-D marine normal gravity model.Conventionally, a reduction method applied in geophysical survey is directly introduced to observed data processing. This reduction does not separate anomaly from normal gravity in the observed data, so errors cannot be avoided. The 3-D marine normal gravity model was derived from the J2 gravity model, and is suitable for the region whose depth is less than 1000 m.

  19. Remote sensing applied to numerical modelling. [water resources pollution

    Science.gov (United States)

    Sengupta, S.; Lee, S. S.; Veziroglu, T. N.; Bland, R.

    1975-01-01

    Progress and remaining difficulties in the construction of predictive mathematical models of large bodies of water as ecosystems are reviewed. Surface temperature is at present the only variable than can be measured accurately and reliably by remote sensing techniques, but satellite infrared data are of sufficient resolution for macro-scale modeling of oceans and large lakes, and airborne radiometers are useful in meso-scale analysis (of lakes, bays, and thermal plumes). Finite-element and finite-difference techniques applied to the solution of relevant coupled time-dependent nonlinear partial differential equations are compared, and the specific problem of the Biscayne Bay and environs ecosystem is tackled in a finite-differences treatment using the rigid-lid model and a rigid-line grid system.

  20. Dynamic Decision Making for Graphical Models Applied to Oil Exploration

    CERN Document Server

    Martinelli, Gabriele; Hauge, Ragnar

    2012-01-01

    We present a framework for sequential decision making in problems described by graphical models. The setting is given by dependent discrete random variables with associated costs or revenues. In our examples, the dependent variables are the potential outcomes (oil, gas or dry) when drilling a petroleum well. The goal is to develop an optimal selection strategy that incorporates a chosen utility function within an approximated dynamic programming scheme. We propose and compare different approximations, from simple heuristics to more complex iterative schemes, and we discuss their computational properties. We apply our strategies to oil exploration over multiple prospects modeled by a directed acyclic graph, and to a reservoir drilling decision problem modeled by a Markov random field. The results show that the suggested strategies clearly improve the simpler intuitive constructions, and this is useful when selecting exploration policies.

  1. Curve Fitting And Interpolation Model Applied In Nonel Dosage Detection

    Directory of Open Access Journals (Sweden)

    Jiuling Li

    2013-06-01

    Full Text Available The Curve Fitting and Interpolation Model are applied in Nonel dosage detection in this paper firstly, and the gray of continuous explosive in the Nonel has been forecasted. Although the traditional infrared equipment establishes the relationship of explosive dosage and light intensity, but the forecast accuracy is very low. Therefore, gray prediction models based on curve fitting and interpolation are framed separately, and the deviations from the different models are compared. Simultaneously, combining on the sample library features, the cubic polynomial fitting curve of the higher precision is used to predict grays, and 5mg-28mg Nonel gray values are calculated by MATLAB. Through the predictive values, the dosage detection operations are simplified, and the defect missing rate of the Nonel are reduced. Finally, the quality of Nonel is improved.

  2. Applying CIPP Model for Learning-Object Management

    Science.gov (United States)

    Morgado, Erla M. Morales; Peñalvo, Francisco J. García; Martín, Carlos Muñoz; Gonzalez, Miguel Ángel Conde

    Although knowledge management process needs to receive some evaluation in order to determine their suitable functionality. There is not a clear definition about the stages where LOs need to be evaluated and the specific metrics to continuously promote their quality. This paper presents a proposal for LOs evaluation during their management for e-learning systems. To achieve this, we suggest specific steps for LOs design, implementation and evaluation into the four stages proposed by CIPP model (Context, Input, Process, Product).

  3. Applying fuzzy analytic network process in quality function deployment model

    Directory of Open Access Journals (Sweden)

    Mohammad Ali Afsharkazemi

    2012-08-01

    Full Text Available In this paper, we propose an empirical study of QFD implementation when fuzzy numbers are used to handle the uncertainty associated with different components of the proposed model. We implement fuzzy analytical network to find the relative importance of various criteria and using fuzzy numbers we calculate the relative importance of these factors. The proposed model of this paper uses fuzzy matrix and house of quality to study the products development in QFD and also the second phase i.e. part deployment. In most researches, the primary objective is only on CRs to implement the quality function deployment and some other criteria such as production costs, manufacturing costs etc were disregarded. The results of using fuzzy analysis network process based on the QFD model in Daroupat packaging company to develop PVDC show that the most important indexes are being waterproof, resistant pill packages, and production cost. In addition, the PVDC coating is the most important index in terms of company experts’ point of view.

  4. Experimental Validation of Simplified Free Jet Turbulence Models Applied to the Vocal Tract

    CERN Document Server

    Grandchamp, Xavier; Pelorson, Xavier

    2008-01-01

    Sound production due to turbulence is widely shown to be an important phenomenon involved in a.o. fricatives, singing, whispering and speech pathologies. In spite of its relevance turbulent flow is not considered in classical physical speech production models mostly dealing with voiced sound production. The current study presents preliminary results of an experimental validation of simplified turbulence models in order to estimate the time-mean velocity distribution in a free jet downstream of a tube outlet. Aiming a future application in speech production the influence of typical vocal tract shape parameters on the velocity distribution is experimentally and theoretically explored: the tube shape, length and the degree and geometry of the constriction. Simplified theoretical predictions are obtained by applying similarity solutions of the bidimensional boundary layer theory to a plane and circular free jet in still air. The orifice velocity and shape are the main model input quantities. Results are discussed...

  5. Experimental designs for autoregressive models applied to industrial maintenance

    International Nuclear Information System (INIS)

    Some time series applications require data which are either expensive or technically difficult to obtain. In such cases scheduling the points in time at which the information should be collected is of paramount importance in order to optimize the resources available. In this paper time series models are studied from a new perspective, consisting in the use of Optimal Experimental Design setup to obtain the best times to take measurements, with the principal aim of saving costs or discarding useless information. The model and the covariance function are expressed in an explicit form to apply the usual techniques of Optimal Experimental Design. Optimal designs for various approaches are computed and their efficiencies are compared. The methods working in an application of industrial maintenance of a critical piece of equipment at a petrochemical plant are shown. This simple model allows explicit calculations in order to show openly the procedure to find the correlation structure, needed for computing the optimal experimental design. In this sense the techniques used in this paper to compute optimal designs may be transferred to other situations following the ideas of the paper, but taking into account the increasing difficulty of the procedure for more complex models. - Highlights: • Optimal experimental design theory is applied to AR models to reduce costs. • The first observation has an important impact on any optimal design. • Either the lack of precision or small starting observations claim for large times. • Reasonable optimal times were obtained relaxing slightly the efficiency. • Optimal designs were computed in a predictive maintenance context

  6. Model for fission-product calculations

    International Nuclear Information System (INIS)

    Many fission-product cross sections remain unmeasurable thus considerable reliance must be placed upon calculational interpolation and extrapolation from the few available measured cross sections. The vehicle, particularly for the lighter fission products, is the conventional optical-statistical model. The applied goals generally are: capture cross sections to 7 to 10% accuracies and inelastic-scattering cross sections to 25 to 50%. Comparisons of recent evaluations and experimental results indicate that these goals too often are far from being met, particularly in the area of inelastic scattering, and some of the evaluated fission-product cross sections are simply physically unreasonable. It is difficult to avoid the conclusion that the models employed in many of the evaluations are inappropriate and/or inappropriately used. In order to alleviate the above unfortunate situations, a regional optical-statistical (OM) model was sought with the goal of quantitative prediction of the cross sections of the lighter-mass (Z = 30-51) fission products. The first step toward that goal was the establishment of a reliable experimental data base consisting of energy-averaged neutron total and differential-scattering cross sections. The second step was the deduction of a regional model from the experimental data. It was assumed that a spherical OM is appropriate: a reasonable and practical assumption. The resulting OM then was verified against the measured data base. Finally, the physical character of the regional model is examined

  7. Product State Modelling based on a Meta Production

    DEFF Research Database (Denmark)

    Larsen, Michael Holm; Sørensen, Christian; Langer, Gilad

    ) is a product model that contains continuously updated data regarding the outcome of the production processes. The main contribution of this paper is a definition and a description of a Production Meta Product State Model (Production Meta PSM), using the Unified Modelling Language (UML). The meta......As products often deviate from their original design and specifications when being produced, adjustments of the product or process are required in order to meet specifications. A prerequisite for this adjustment, is appropriate and effectively collected shop floor data. The Product State Model (PSM...... model incorporates a set of characteristics associated to the (1) scope or application domain of the PSM, (2) the artefact or product, and (3) the events transforming the product and trigging product state changes. Moreover, the paper provides guidelines for a specialisation of the meta model with...

  8. Development of a production meta Product State Model

    DEFF Research Database (Denmark)

    Larsen, Michael Holm; Sørensen, Christian; Langer, Gilad

    As products often deviate from their original design and specifications when being produced, adjustments of the product or process are required in order to meet specifications. A prerequisite for this adjustment, is appropriate and effectively collected shop floor data. The Product State Model (PSM......) is a product model that contains continuously updated data regarding the outcome of the production processes. The main contribution of this paper is a definition and a description of a Production Meta Product State Model (Production Meta PSM), using the Unified Modelling Language (UML). The meta...... model incorporates a set of characteristics associated to the (1) scope or application domain of the PSM, (2) the artefact or product, and (3) the events transforming the product and trigging product state changes. Moreover, the paper provides guidelines for a specialisation of the meta model with...

  9. A GIS modeling method applied to predicting forest songbird habitat

    Science.gov (United States)

    Dettmers, Randy; Bart, Jonathan

    1999-01-01

    We have developed an approach for using a??presencea?? data to construct habitat models. Presence data are those that indicate locations where the target organism is observed to occur, but that cannot be used to define locations where the organism does not occur. Surveys of highly mobile vertebrates often yield these kinds of data. Models developed through our approach yield predictions of the amount and the spatial distribution of good-quality habitat for the target species. This approach was developed primarily for use in a GIS context; thus, the models are spatially explicit and have the potential to be applied over large areas. Our method consists of two primary steps. In the first step, we identify an optimal range of values for each habitat variable to be used as a predictor in the model. To find these ranges, we employ the concept of maximizing the difference between cumulative distribution functions of (1) the values of a habitat variable at the observed presence locations of the target organism, and (2) the values of that habitat variable for all locations across a study area. In the second step, multivariate models of good habitat are constructed by combining these ranges of values, using the Boolean operators a??anda?? and a??or.a?? We use an approach similar to forward stepwise regression to select the best overall model. We demonstrate the use of this method by developing species-specific habitat models for nine forest-breeding songbirds (e.g., Cerulean Warbler, Scarlet Tanager, Wood Thrush) studied in southern Ohio. These models are based on speciesa?? microhabitat preferences for moisture and vegetation characteristics that can be predicted primarily through the use of abiotic variables. We use slope, land surface morphology, land surface curvature, water flow accumulation downhill, and an integrated moisture index, in conjunction with a land-cover classification that identifies forest/nonforest, to develop these models. The performance of these

  10. Neurofuzzy evolutionary models applied to non-linear systems identification

    International Nuclear Information System (INIS)

    Neurofuzzy models are attractive to system identification to combine learning and structural features of neural network and the exposition based in rules associated to fuzzy systems. Genetic programming is a genetic algorithm extension where individuals are computer programs. It was proposed a modeling scheme where it's created, through genetic programming, a population of neurofuzzy systems capable to identify a given non-linear system. The data obtained when applying the resulting system to the identification of a simple non-linear function allows to conclude the technique has a quite promising application potential, and that are necessary improvements so that solutions can be obtained with a smaller number of generations and consequently in a smaller space of time. (author)

  11. APPLYING A JUST-IN-TIME INTEGRATED SUPPLY CHAIN MODEL WITH INVENTORY AND WASTE REDUCTION CONSIDERATIONS

    Directory of Open Access Journals (Sweden)

    Li-Hsing Ho

    2013-01-01

    Full Text Available Just-In-Time (JIT has been playing an important role in supply chain environments. Countless firms have been applying JIT in production to gain and maintain a competitive advantage. This study introduces an innovative model which integrates inventory and quality assurance in a JIT supply chain. This approach assumes that manufacturing will produce some defective items and those products will not influence the buyer’s purchase policy. The vendor absorbs all the inspection costs. Using a function to compute the expected amount of total cost every year will minimize the total cost and the nonconforming fraction. Finally, a numerical example further confirms this model.

  12. Applying new solar particle event models to interplanetary satellite programs

    International Nuclear Information System (INIS)

    Variability in the models and methods used for single event upset (SEU) calculations in microelectronic memory devices can lead to a range of possible upset rates. In order to compare the Adams 1986 interplanetary solar flare model to a new model proposed by scientists at the Jet Propulsion Laboratory (JPL92) the authors have calculated an array of upset rates using heavy ion and proton data for selected DRAM and SRAM memories and for Actel Field Programmable Gate Arrays (FPGAs). To make more general comparisons of the models the authors have produced a set of engineering curves of predicted upset rates versus hypothetical device cross-section parameters. The results show that use of this more realistic, although still conservative, JPL model can have significant benefits for satellite programs, especially those which must operate continuously during solar particle events. The benefits include more flexibility in model choice, a higher level of confidence in the environment, and potential cost savings by the calculation of less pessimistic SEU rates which allows designers to integrate commercial products into their spacecraft design with the use of Error Detection and Correction (EDAC) schemes

  13. Applying the luminosity function statistics in the fireshell model

    Science.gov (United States)

    Rangel Lemos, L. J.; Bianco, C. L.; Ruffini, R.

    2015-12-01

    The luminosity function (LF) statistics applied to the data of BATSE, GBM/Fermi and BAT/Swift is the theme approached in this work. The LF is a strong statistical tool to extract useful information from astrophysical samples, and the key point of this statistical analysis is in the detector sensitivity, where we have performed careful analysis. We applied the tool of the LF statistics to three GRB classes predicted by the Fireshell model. We produced, by LF statistics, predicted distributions of: peak ux N(Fph pk), redshift N(z) and peak luminosity N(Lpk) for the three GRB classes predicted by Fireshell model; we also used three GRB rates. We looked for differences among the distributions, and in fact we found. We performed a comparison between the distributions predicted and observed (with and without redshifts), where we had to build a list with 217 GRBs with known redshifts. Our goal is transform the GRBs in a standard candle, where a alternative is find a correlation between the isotropic luminosity and the Band peak spectral energy (Liso - Epk).

  14. Supersymmetric quantum mechanics applied to nonrelativistic quark models

    International Nuclear Information System (INIS)

    The authors examine the effect of changing the energy levels and normalization constants of bound states corresponding to baryons and mesons in nonrelativistic quark models. They do this by applying the transformations of supersymmetric quantum mechanics (SUSYQM) to the potentials used in these models. In particular, they fit the spectra and leptonic decay widths of cc and bb mesons by modifying several existing qq potential by means of supersymmetric transformations. It is found that the potentials are unchanged beyond 2 fm, and that fitting the widths induces greater oscillations in the potentials than those generated by adjusting the energy levels only. Transformations of SUSYQM are applied to the hypercentral potential in order to accommodate the Roper resonance in the s-wave nucleon spectrum. The quark-quark potential found by inverting the transformed hypercentral potential via a new exact Abel transform differs significantly from the original potential up to 5 fm from the origin and violates the concavity requirement. The qq potential related to this potential by Lipkin's rule does not reproduce the meson spectrum. As the Hall-Post lower bound is also accurate for baryons, the results of the application of supersymmetric transformations in this approximation scheme are also considered and compared to the upper bound of the hypercentral approximation

  15. Multiresolution active contour model applied on lung and colon images

    Science.gov (United States)

    Dehmeshki, Jamshid; Siddique, Musib; Wong, Wing; Chis Ster, Irina

    2004-05-01

    This paper deploys a wavelet based scale-space approach to extract the boundary of the object of interest in medical CT images. The classical approach of the active contour models consists of starting with an initial contour, to deform it under the action of some forces attracting the contour towards the edges by means of a set of forces. The mathematical model involves in the minimisation of an objective function called energy functional, which depends on the geometry of the contour as well as of the image characteristics. Various strategies could be used for the formulation of the energy functional and its optimisation. In this study, a wavelet based scale-space approach has been adopted. The coarsest scale is able to enlarge the capture region surrounding an object and avoids the trapping of contour into weak edges. The finer scales are used to refine the contour as close as possible to the boundary of the object. An adaptive scale coefficient for the balloon energy has been introduced. Four levels of resolution have been applied in order to get reproducibility of the contour despite poor different initialisations. The scheme has been applied to segment the regions of interest in CT lung and colon images. The result has been shown to be accurate and reproducible for the cases containing fat, holes and other small high intensity objects inside lung nodules as well as colon polyps.

  16. Applying generalized Pad\\'e approximants in analytic QCD models

    CERN Document Server

    Cvetič, Gorazd

    2011-01-01

    A method of resummation of truncated perturbation series, related to diagonal Pad\\'e approximants but giving results exactly independent of the renormalization scale, was developed more than ten years ago by us with a view of applying it in perturbative QCD. We now apply this method in analytic QCD models, i.e., models where the running coupling has no unphysical singularities, and we show that the method has attractive features such as a rapid convergence. The method can be regarded as a generalization of the scale-setting methods of Stevenson, Grunberg, and Brodsky-Lepage-Mackenzie. The method involves the fixing of various scales and weight coefficients via an auxiliary construction of diagonal Pad\\'e approximant. In low-energy QCD observables, some of these scales become sometimes low at high order, which prevents the method from being effective in perturbative QCD where the coupling has unphysical singularities at low spacelike momenta. There are no such problems in analytic QCD.

  17. A bidirectional coupling procedure applied to multiscale respiratory modeling

    Energy Technology Data Exchange (ETDEWEB)

    Kuprat, A.P., E-mail: andrew.kuprat@pnnl.gov [Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA (United States); Kabilan, S., E-mail: senthil.kabilan@pnnl.gov [Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA (United States); Carson, J.P., E-mail: james.carson@pnnl.gov [Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA (United States); Corley, R.A., E-mail: rick.corley@pnnl.gov [Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA (United States); Einstein, D.R., E-mail: daniel.einstein@pnnl.gov [Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA (United States)

    2013-07-01

    pressure applied to the multiple sets of ODEs. In both the simplified geometry and in the imaging-based geometry, the performance of the method was comparable to that of monolithic schemes, in most cases requiring only a single CFD evaluation per time step. Thus, this new accelerator allows us to begin combining pulmonary CFD models with lower-dimensional models of pulmonary mechanics with little computational overhead. Moreover, because the CFD and lower-dimensional models are totally separate, this framework affords great flexibility in terms of the type and breadth of the adopted lower-dimensional model, allowing the biomedical researcher to appropriately focus on model design. Research funded by the National Heart and Blood Institute Award 1RO1HL073598.

  18. A Bidirectional Coupling Procedure Applied to Multiscale Respiratory Modeling

    Energy Technology Data Exchange (ETDEWEB)

    Kuprat, Andrew P.; Kabilan, Senthil; Carson, James P.; Corley, Richard A.; Einstein, Daniel R.

    2013-07-01

    In this study, we present a novel multiscale computational framework for efficiently linking multiple lower-dimensional models describing the distal lung mechanics to imaging-based 3D computational fluid dynamics (CFD) models of the upper pulmonary airways in order to incorporate physiologically appropriate outlet boundary conditions. The framework is an extension of the Modified Newton’s Method with nonlinear Krylov accelerator developed by Carlson and Miller [1, 2, 3]. Our extensions include the retention of subspace information over multiple timesteps, and a special correction at the end of a timestep that allows for corrections to be accepted with verified low residual with as little as a single residual evaluation per timestep on average. In the case of a single residual evaluation per timestep, the method has zero additional computational cost compared to uncoupled or unidirectionally coupled simulations. We expect these enhancements to be generally applicable to other multiscale coupling applications where timestepping occurs. In addition we have developed a “pressure-drop” residual which allows for stable coupling of flows between a 3D incompressible CFD application and another (lower-dimensional) fluid system. We expect this residual to also be useful for coupling non-respiratory incompressible fluid applications, such as multiscale simulations involving blood flow. The lower-dimensional models that are considered in this study are sets of simple ordinary differential equations (ODEs) representing the compliant mechanics of symmetric human pulmonary airway trees. To validate the method, we compare the predictions of hybrid CFD-ODE models against an ODE-only model of pulmonary airflow in an idealized geometry. Subsequently, we couple multiple sets of ODEs describing the distal lung to an imaging-based human lung geometry. Boundary conditions in these models consist of atmospheric pressure at the mouth and intrapleural pressure applied to the multiple

  19. A bidirectional coupling procedure applied to multiscale respiratory modeling

    Science.gov (United States)

    Kuprat, A. P.; Kabilan, S.; Carson, J. P.; Corley, R. A.; Einstein, D. R.

    2013-07-01

    pressure applied to the multiple sets of ODEs. In both the simplified geometry and in the imaging-based geometry, the performance of the method was comparable to that of monolithic schemes, in most cases requiring only a single CFD evaluation per time step. Thus, this new accelerator allows us to begin combining pulmonary CFD models with lower-dimensional models of pulmonary mechanics with little computational overhead. Moreover, because the CFD and lower-dimensional models are totally separate, this framework affords great flexibility in terms of the type and breadth of the adopted lower-dimensional model, allowing the biomedical researcher to appropriately focus on model design. Research funded by the National Heart and Blood Institute Award 1RO1HL073598.

  20. A bidirectional coupling procedure applied to multiscale respiratory modeling

    International Nuclear Information System (INIS)

    pressure applied to the multiple sets of ODEs. In both the simplified geometry and in the imaging-based geometry, the performance of the method was comparable to that of monolithic schemes, in most cases requiring only a single CFD evaluation per time step. Thus, this new accelerator allows us to begin combining pulmonary CFD models with lower-dimensional models of pulmonary mechanics with little computational overhead. Moreover, because the CFD and lower-dimensional models are totally separate, this framework affords great flexibility in terms of the type and breadth of the adopted lower-dimensional model, allowing the biomedical researcher to appropriately focus on model design. Research funded by the National Heart and Blood Institute Award 1RO1HL073598

  1. Applying a Virtual Economy Model in Mexico's Oil Sector

    International Nuclear Information System (INIS)

    The state of Mexico's oil industry, including the accomplishments of Pemex, Mexico's national oil company, was discussed, with particular reference to the progress made in the period of 1988-1994, and the outlook for innovations in the post-Salinas era. The concept of an evolutionary trend from a command economy (State as sole producer), towards market (State as regulator) or mixed economies (State as business partner) in developing countries, was introduced, placing Pemex within this evolutionary model as moving away from centralized control of oil production and distribution, while achieving international competitiveness. The concept of ''virtual market economy'' was also discussed. This model contains the legal basis of a command economy, while instituting modernization programs in order to stimulate market-economic conditions. This type of economy was considered particularly useful in this instance, sine it would allow Pemex units to operate within international performance and price benchmarks while maintaining state monopoly. Specific details of how Pemex could transform itself to a virtual market economy were outlined. It was recommended that Pemex experiment with the virtual mixed economy model; in essence, making the state a co-producer, co-transporter, and co-distributor of hydrocarbons. The effects of such a move would be to bring non-debt funding to oil and gas production, transmission, and associated industrial activities

  2. Risk matrix model applied to the outsourcing of logistics' activities

    Directory of Open Access Journals (Sweden)

    Fouad Jawab

    2015-09-01

    Full Text Available Purpose: This paper proposes the application of the risk matrix model in the field of logistics outsourcing. Such an application can serve as the basis for decision making regarding the conduct of a risk management in the logistics outsourcing process and allow its prevention. Design/methodology/approach: This study is based on the risk management of logistics outsourcing in the field of the retail sector in Morocco. The authors identify all possible risks and then classify and prioritize them using the Risk Matrix Model. Finally, we have come to four possible decisions for the identified risks. The analysis was made possible through interviews and discussions with the heads of departments and agents who are directly involved in each outsourced activity. Findings and Originality/value: It is possible to improve the risk matrix model by proposing more personalized prevention measures according to each company that operates in the mass-market retailing. Originality/value: This study is the only one made in the process of logistics outsourcing in the retail sector in Morocco through Label’vie as a case study. First, we had identified as thorough as we could all possible risks, then we applied the Risk Matrix Model to sort them out in an ascending order of importance and criticality. As a result, we could hand out to the decision-makers the mapping for an effective control of risks and a better guiding of the process of risk management.

  3. TCSC impedance regulator applied to the second benchmark model

    Energy Technology Data Exchange (ETDEWEB)

    Hamel, J.P.; Dessaint, L.A. [Ecole de Technologie Superieure, Montreal, PQ (Canada). Dept. of Electrical Engineering; Champagne, R. [Ecole de Technologie Superieure, Montreal, PQ (Canada). Dept. of Software and IT Engineering; Pare, D. [Institut de Recherche d' Hydro-Quebec, Varennes, PQ (Canada)

    2008-07-01

    Due to the combination of electrical demand growth and the high cost of building new power transmission lines, series compensation is increasingly used in power systems all around the world. Series compensation has been proposed as a new way to transfer more power on existing lines. By adding series compensation to an existing line (a relatively small change), the power transfer can be increased significantly. One of the means used for line compensation is the addition of capacitive elements in series with the line. This paper presented a thyristor-controlled series capacitor (TCSC) model that used impedance as reference, had individual controls for each phase, included a linearization module and considered only the fundamental frequency for impedance computations, without using any filter. The model's dynamic behavior was validated by applying it to the second benchmark model for subsynchronous resonance (SSR). Simulation results from the proposed model, obtained using EMTP-RV and SimPowerSystems were demonstrated. It was concluded that SSR was mitigated by the proposed approach. 19 refs., 19 figs.

  4. Model output statistics applied to wind power prediction

    Energy Technology Data Exchange (ETDEWEB)

    Joensen, A.; Giebel, G.; Landberg, L. [Risoe National Lab., Roskilde (Denmark); Madsen, H.; Nielsen, H.A. [The Technical Univ. of Denmark, Dept. of Mathematical Modelling, Lyngby (Denmark)

    1999-03-01

    Being able to predict the output of a wind farm online for a day or two in advance has significant advantages for utilities, such as better possibility to schedule fossil fuelled power plants and a better position on electricity spot markets. In this paper prediction methods based on Numerical Weather Prediction (NWP) models are considered. The spatial resolution used in NWP models implies that these predictions are not valid locally at a specific wind farm. Furthermore, due to the non-stationary nature and complexity of the processes in the atmosphere, and occasional changes of NWP models, the deviation between the predicted and the measured wind will be time dependent. If observational data is available, and if the deviation between the predictions and the observations exhibits systematic behavior, this should be corrected for; if statistical methods are used, this approaches is usually referred to as MOS (Model Output Statistics). The influence of atmospheric turbulence intensity, topography, prediction horizon length and auto-correlation of wind speed and power is considered, and to take the time-variations into account, adaptive estimation methods are applied. Three estimation techniques are considered and compared, Extended Kalman Filtering, recursive least squares and a new modified recursive least squares algorithm. (au) EU-JOULE-3. 11 refs.

  5. A soil-plant model applied to phytoremediation of metals.

    Science.gov (United States)

    Lugli, Francesco; Mahler, Claudio Fernando

    2016-01-01

    This study reports a phytoremediation pot experiment using an open-source program. Unsaturated water flow was described by the Richards' equation and solute transport by the advection-dispersion equation. Sink terms in the governing flow and transport equations accounted for root water and solute uptake, respectively. Experimental data were related to application of Vetiver grass to soil contaminated by metal ions. Sensitivity analysis revealed that due to the specific experimental set-up (bottom flux not allowed), hydraulic model parameters did not influence root water (and contaminant) uptake. In contrast, the results were highly correlated with plant solar radiation interception efficiency (leaf area index). The amounts of metals accumulated in the plant tissue were compared to numerical values of cumulative uptake. Pb(2+) and Zn(2+) uptake was satisfactorily described using a passive model. However, for Ni(2+) and Cd(2+), a specific calibration of the active uptake model was necessary. Calibrated MM parameters for Ni(2+), Cd(2+), and Pb(2+) were compared to values in the literature, generally suggesting lower rates and saturation advance. A parameter (saturation ratio) was introduced to assess the efficiency of contaminant uptake. Numerical analysis, applying actual field conditions, showed the limitation of the active model for being independent of the transpiration rate. PMID:26457927

  6. Extending product modeling methods for integrated product development

    DEFF Research Database (Denmark)

    Bonev, Martin; Wörösch, Michael; Hauksdóttir, Dagný;

    2013-01-01

    . Updated design requirements have then to be made explicit and mapped against the existing product architecture. In this paper, existing methods are adapted and extended through linking updated requirements to suitable product models. By combining several established modeling techniques, such as the DSM......-based models to link and evaluate updated requirements to several levels of the product architecture and to illustrate how these requirements have an upstream (towards stakeholders) and downstream (towards production) effect on the product architecture....

  7. Applying the model of excellence in dental healthcare

    Directory of Open Access Journals (Sweden)

    Tekić Jasmina

    2015-01-01

    Full Text Available Introduction. Models of excellence are considered a practical tool in the field of management that should help a variety of organizations, including dental, to carry out the measurement of the quality of provided services, and so define their position in relation to excellence. The quality of healthcare implies the degree within which the system of healthcare and health services increases the likelihood of positive treatment outcome. Objective. The aim of the present study was to define a model of excellence in the field of dental healthcare (DHC in the Republic of Serbia and suggest the model of DHC whose services will have the characteristics of outstanding service in the dental practice. Methods. In this study a specially designed questionnaire was used for the assessment of the maturity level of applied management regarding quality in healthcare organizations of the Republic of Serbia. The questionnaire consists of 13 units and a total of 240 questions. Results. The results of the study were discussed involving four areas: (1 defining the main criteria and sub-criteria, (2 the elements of excellence of DHC in the Republic of Serbia, (3 the quality of DHC in the Republic of Serbia, and (4 defining the framework of the model of excellence for the DHC in the Republic of Serbia. The main criteria which defined the framework and implementation model of excellence in the field of DHC in Serbia were: leadership, management, human resources, policy and strategy, other resources, processes, patients’ satisfaction, employee’s satisfaction, impact on society and business results. The model had two main parts: the possibilities for the first five criteria and options for the other four criteria. Conclusion. Excellence in DHC business as well as the excellence of provided dental services are increasingly becoming the norm and good practice, and progressively less the exception.

  8. Chemometric methods and near-infrared spectroscopy applied to bioenergy production

    International Nuclear Information System (INIS)

    data analysis (i) successfully determine the concentrations of moisture, protein, and starch in the feedstock material as well as glucose, ethanol, glycerol, lactic acid, acetic acid in the processed bioethanol broths; (ii) and allow quantifying a complex biofuel's property such as the heating value. At the third stage, this thesis focuses on new chemometric methods that improve mathematical analysis of multivariate data such as NIR spectra. The newly developed method 'repeated double cross validation' (rdCV) separates optimization of regression models from tests of model performance; furthermore, rdCV estimates the variability of the model performance based on a large number of prediction errors from test samples. The rdCV procedure has been applied to both the classical PLS regression and the robust 'partial robust M' regression method, which can handle erroneous data. The peculiar and relatively unknown 'random projection' method is tested for its potential of dimensionality reduction of data from chemometrics and chemoinformatics. The main findings are: (i) rdCV fosters a realistic assessment of model performance, (ii) robust regression has outstanding performance for data containing outliers and thus is strongly recommendable, and (iii) random projection is a useful niche application for high-dimensional data combined with possible restrictions in data storage and computing time. The three chemometric methods described are available as functions for the free software R. (author)

  9. Motor fuel demand analysis - applied modelling in the European union

    International Nuclear Information System (INIS)

    Motor fuel demand in Europe amounts to almost half of petroleum products consumption and to thirty percent of total final energy consumption. This study considers, Firstly, the energy policies of different European countries and the ways in which the consumption of motor gasoline and automotive gas oil has developed. Secondly it provides an abstract of demand models in the energy sector, illustrating their specific characteristics. Then it proposes an economic model of automotive fuel consumption, showing motor gasoline and automotive gas oil separately over a period of thirty years (1960-1993) for five main countries in the European Union. Finally, forecasts of consumption of gasoline and diesel up to the year 2020 are given for different scenarios. (author)

  10. Production cost models with regard to liberalised electricity markets

    OpenAIRE

    Martinez Diaz, David José

    2008-01-01

    This book makes a contribution to the formulation and implementation of production cost models for the modelling of liberalized electricity markets by addressing issues associated with the level of detail in the representation of the underlying power system, the accuracy of the results and the modelling effort. To this end a production cost model was formulated and applied to estimate the short-run marginal cost of the power systems of three important European electricity markets.

  11. Model of the Product Development Lifecycle.

    Energy Technology Data Exchange (ETDEWEB)

    He, Sunny L. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Roe, Natalie H. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Wood, Evan [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Nachtigal, Noel M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Helms, Jovana [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-10-01

    While the increased use of Commercial Off-The-Shelf information technology equipment has presented opportunities for improved cost effectiveness and flexibility, the corresponding loss of control over the product's development creates unique vulnerabilities and security concerns. Of particular interest is the possibility of a supply chain attack. A comprehensive model for the lifecycle of hardware and software products is proposed based on a survey of existing literature from academic, government, and industry sources. Seven major lifecycle stages are identified and defined: (1) Requirements, (2) Design, (3) Manufacturing for hardware and Development for software, (4) Testing, (5) Distribution, (6) Use and Maintenance, and (7) Disposal. The model is then applied to examine the risk of attacks at various stages of the lifecycle.

  12. Structuring as a Basis for Product Modelling

    DEFF Research Database (Denmark)

    Mortensen, Niels Henrik; Hansen, Claus Thorp

    Structure means the way which things are built up. A composite product does not exhibit one structure, but hides in its structure of parts several different structuring principles, which fit the production, service, transport etc. Structuring of product models is complex where many factors are...... influencing. This paper identifies four factors that are influencing the structure of a product model: genetics, functionality/property, product life and product assortment. Three principles, which support determination of product model structures, are proposed....

  13. Spectral Aging Model Applied to Meteosat First Generation Visible Band

    Directory of Open Access Journals (Sweden)

    Ilse Decoster

    2014-03-01

    Full Text Available The Meteosat satellites have been operational since the early eighties, creating so far a continuous time period of observations of more than 30 years. In order to use this data for climate data records, a consistent calibration is necessary between the consecutive instruments. Studies have shown that the Meteosat First Generation (MFG satellites (1982–2006 suffer from in-flight degradation which is spectral of nature and is not corrected by the official calibration of EUMETSAT. Continuing on previous published work by the same authors, this paper applies the spectral aging model to a set of clear-sky and cloudy targets, and derives the model parameters for all six MFG satellites (Meteosat-2 to -7. Several problems have been encountered, both due to the instrument and due to geophysical occurrences, and these are discussed and illustrated here in detail. The paper shows how the spectral aging model is an improvement compared to the EUMETSAT calibration method with a stability of 1%–2% for Meteosat-4 to -7, which increases up to 6% for ocean sites using the full MFG time period.

  14. From LCA to PSS – Making leaps towards sustainability by applying product/service-system thinking in product development

    DEFF Research Database (Denmark)

    Bey, Niki; McAloone, Timothy Charles

    optimisations on all system levels. However, as the act of ecodesign conventionally focuses on physical products, the search for potential optimisations is usually directed ‘downwards’, i.e. towards lower system levels, resulting in optimised components within products rather than optimised products within...... their surrounding systems. This paper will exemplify that when broadening the ecodesign horizon to environmental product/service-system (PSS) design, there is a better possibility of applying a system-oriented life cycle thinking approach, and therefore a potential to yield extreme improvements towards...

  15. Growth model of agri-food production

    OpenAIRE

    Bezat-Jarzębowska, Agnieszka; Rembisz, Włodzimierz; Sielska, Agata

    2012-01-01

    Consumer, agricultural producer and agri-food processors in the model. Role of the processor in the growth model of agri-food production. Growth factors of agricultural production in the developed model.

  16. ComParison of delay difference model and surPlus Production model aPPlied to albacore(Thunnus alalunga)in the South Atlantic Ocean%时滞差分模型与剩余产量模型的应用比较--以南大西洋长鳍金枪鱼为例

    Institute of Scientific and Technical Information of China (English)

    张魁; 陈作志; 黄梓荣; 许友伟

    2015-01-01

    We applied surplus production model and delay difference model to analyze the data of the southern Atlantic albacore (Thunnus alalunga)stock. Results show that the delay difference model captured annual fluctuation of catch per unit effort(CPUE) better than the Schaefer model. Akaike information criterion(AIC)also reveals that delay difference model performed better. We cal-culated an 80% percentile confidence interval of maximum sustainable yield(MSY)of 21 756 ~ 23 408 t(median 22 490 t)and 26 116 ~ 28 959 t(median 27 520 t)by delay difference model and Schaefer model,respectively. Results of biological reference points show that the southern Atlantic albacore stock was in a good state before 1985 but had been overfished from 1985 to 2005;after that,it was rebuilt gradually but must be taken care of. The delay difference model gave more effective and conservative results than the surplus production model.%将剩余产量模型和时滞差分模型分别应用于南大西洋长鳍金枪鱼(Thunnus alalunga)渔业数据,结果表明,比起剩余产量模型,时滞差分模型拟合的单位捕捞努力渔获量( catch per unit effort,CPUE)曲线能够更好地捕捉到 CPUE 随着时间的波动。赤池信息量准则( Akaike information criterion,AIC)的结果显示,时滞差分模型比Schaefer 模型的评估效果要好。时滞差分模型评估的最大可持续产量( maximum sustainable yield,MSY)中值为22490 t,80%置信区间为21756~23408 t;剩余产量模型评估的 MSY 中值为27520 t,80%的置信区间为26116~28959 t。生物学参考点的结果表明目标群体在1985年以前资源状态较好;1985年~2005年的20年里处于过度捕捞状态;2005年后资源状况得到改善,但仍需加强管理。比起剩余产量模型,时滞差分模型给出了更为有效且保守的评估结果。

  17. Food Security, Energy Equity, and the Global Commons: a Computable Village Model applied to sub-Saharan Africa

    OpenAIRE

    Winter, Etti Maria; Fasse, Anja

    2009-01-01

    This paper examines potential of contract farming as a rural development tool by revealing its effect on productivity and income of small holders in tea production in north-western Vietnam. In the present research, three economic analyses are applied. First, the technical efficiency of tea production is estimated by using stochastic frontier model. The results show that contract farming achieved significantly higher technical efficiency compared to non-contract farming. Second, logit model is...

  18. An applied model for measuring the knowledge sharing capability

    Directory of Open Access Journals (Sweden)

    Babak Sohrabi Yurtchi

    2010-12-01

    Full Text Available Nowadays, knowledge sharing has become a strategic source of gaining and preserving competitive advantage. Acquiring this advantage requires solutions and approaches that make the organizations capable of measuring their knowledge sharing capabilities. The initial goal of this paper is to present an applied model for measuring the knowledge sharing capability through the identification of the most approved and practical measurement indicators in this area. In the next step, there has been an attempt to statistically validate and localize the indicators and keep those indicators, which are sufficiently able to measure the knowledge sharing capability by the approval of the experts in the field. Afterwards, the final model has been evaluated in three public universities of Iran, namely Sharif University of Technology, University of Tehran and Amir Kabir University of Technology for identifying the strengths and weaknesses of each university and specifying knowledge sharing capability and the path for improving quality of knowledge management in these universities. Finally, a set of guidelines and future research directions has been provided for interested practitioners and scholars.

  19. Cohesive model applied to fracture propagation in Indiana Limestone

    Science.gov (United States)

    Dewers, T. A.; Rinehart, A. J.; Bishop, J. E.

    2014-12-01

    We apply a cohesive fracture (CF) model to results of short-rod (SR), notched 3-point-bend (N3PB) tests, and Brazil tests in Indiana Limestone. Calibration and validation of the model are performed within a commercial finite element modeling platform. By using a linear traction-displacement softening response for a defined fracture-opening displacement (w1) following peak tensile stress (σcrit), the CF model numerically lumps different spatially distributed inelastic processes occurring at and around fracture tips into a thin zone within an elastic domain. Both the SR and the N3PB test specimen geometries use a notch partway through the sample to control the location of fracture propagation. We develop a mesh for both the SR and N3PB geometries with a narrow cohesive zone in the center of notches. From the Brazil tests, we find a tensile splitting stress (σsplit) of 5.9 MPa. We use a σsplit as the peak tensile stress (σcrit) for all simulations. The Young's modulus (E) and the critical crack opening distance (w1) of the CF model are calibrated against the SR data. The model successfully captures the elastic, yield, peak, and initial and late failure behavior and compares favorably against the N3PB tests. Differences in force-displacement and crack propagation are primarily caused by: more mixed-mode (shear and opening) crack propagation in N3PB than in SR tests, causing a higher peak; and transition from compression (high E) to tension (low E) in a larger volume of the N3PB sample than in the SR geometry. This material is based upon work supported as part of the Center for Frontiers of Subsurface Energy Security, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award Number DE-SC0001114. 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

  20. Biases in simulation of the rice phenology models when applied in warmer climates

    Science.gov (United States)

    Zhang, T.; Li, T.; Yang, X.; Simelton, E.

    2015-12-01

    The current model inter-comparison studies highlight the difference in projections between crop models when they are applied to warmer climates, but these studies do not provide results on how the accuracy of the models would change in these projections because the adequate observations under largely diverse growing season temperature (GST) are often unavailable. Here, we investigate the potential changes in the accuracy of rice phenology models when these models were applied to a significantly warmer climate. We collected phenology data from 775 trials with 19 cultivars in 5 Asian countries (China, India, Philippines, Bangladesh and Thailand). Each cultivar encompasses the phenology observations under diverse GST regimes. For a given rice cultivar in different trials, the GST difference reaches 2.2 to 8.2°C, which allows us to calibrate the models under lower GST and validate under higher GST (i.e., warmer climates). Four common phenology models representing major algorithms on simulations of rice phenology, and three model calibration experiments were conducted. The results suggest that the bilinear and beta models resulted in gradually increasing phenology bias (Figure) and double yield bias per percent increase in phenology bias, whereas the growing-degree-day (GDD) and exponential models maintained a comparatively constant bias when applied in warmer climates (Figure). Moreover, the bias of phenology estimated by the bilinear and beta models did not reduce with increase in GST when all data were used to calibrate models. These suggest that variations in phenology bias are primarily attributed to intrinsic properties of the respective phenology model rather than on the calibration dataset. Therefore we conclude that using the GDD and exponential models has more chances of predicting rice phenology correctly and thus, production under warmer climates, and result in effective agricultural strategic adaptation to and mitigation of climate change.

  1. Modelling product quality in horticulture: an overview

    OpenAIRE

    Heuvelink, E.; L.M.M TIJSKENS; Kang, M.

    2004-01-01

    Although modelling product quality is of special importance in the horticultural production and supply chain, including product quality in crop modelling is still in its infancy. In this paper several examples of modelling product quality are presented and discussed. More often than not models on postharvest behaviour of products are not explicitly linked to pre-harvest conditions, although these conditions are known to be of great importance. Besides the average value for a quality attribute...

  2. Cellular Automata Models Applied to the Study of Landslide Dynamics

    Science.gov (United States)

    Liucci, Luisa; Melelli, Laura; Suteanu, Cristian

    2015-04-01

    Landslides are caused by complex processes controlled by the interaction of numerous factors. Increasing efforts are being made to understand the spatial and temporal evolution of this phenomenon, and the use of remote sensing data is making significant contributions in improving forecast. This paper studies landslides seen as complex dynamic systems, in order to investigate their potential Self Organized Critical (SOC) behavior, and in particular, scale-invariant aspects of processes governing the spatial development of landslides and their temporal evolution, as well as the mechanisms involved in driving the system and keeping it in a critical state. For this purpose, we build Cellular Automata Models, which have been shown to be capable of reproducing the complexity of real world features using a small number of variables and simple rules, thus allowing for the reduction of the number of input parameters commonly used in the study of processes governing landslide evolution, such as those linked to the geomechanical properties of soils. This type of models has already been successfully applied in studying the dynamics of other natural hazards, such as earthquakes and forest fires. The basic structure of the model is composed of three modules: (i) An initialization module, which defines the topographic surface at time zero as a grid of square cells, each described by an altitude value; the surface is acquired from real Digital Elevation Models (DEMs). (ii) A transition function, which defines the rules used by the model to update the state of the system at each iteration. The rules use a stability criterion based on the slope angle and introduce a variable describing the weakening of the material over time, caused for example by rainfall. The weakening brings some sites of the system out of equilibrium thus causing the triggering of landslides, which propagate within the system through local interactions between neighboring cells. By using different rates of

  3. Product Family Modelling for Manufacturing Planning

    DEFF Research Database (Denmark)

    Jørgensen, Kaj Asbjørn; Petersen, Thomas Ditlev; Nielsen, Kjeld; Habib, Tufail

    2011-01-01

    of the product family model, however, the model should be enriched with data for planning and execution of the manufacturing processes. The idea is that, when any individual product is specified using the product configurator, a product model can be extracted with all data necessary for planning of...... sometimes also dependent on the specific assembly structure of the configured product, i.e. the combination of modules. In this paper, issues of how to create manufacturing structures and related planning data in product family models are presented. Primarily, the more complicated multi-level manufacturing......To enable product configuration of a product family, it is important to develop a model of the selected product family. From such a model, an often performed practice is to make a product configurator from which customers can specify individual products from the family. To get further utilisation...

  4. Defining Requirements and Applying Information Modeling for Protecting Enterprise Assets

    Science.gov (United States)

    Fortier, Stephen C.; Volk, Jennifer H.

    The advent of terrorist threats has heightened local, regional, and national governments' interest in emergency response and disaster preparedness. The threat of natural disasters also challenges emergency responders to act swiftly and in a coordinated fashion. When a disaster occurs, an ad hoc coalition of pre-planned groups usually forms to respond to the incident. History has shown that these “system of systems” do not interoperate very well. Communications between fire, police and rescue components either do not work or are inefficient. Government agencies, non-governmental organizations (NGOs), and private industry use a wide array of software platforms for managing data about emergency conditions, resources and response activities. Most of these are stand-alone systems with very limited capability for data sharing with other agencies or other levels of government. Information technology advances have facilitated the movement towards an integrated and coordinated approach to emergency management. Other communication mechanisms, such as video teleconferencing, digital television and radio broadcasting, are being utilized to combat the challenges of emergency information exchange. Recent disasters, such as Hurricane Katrina and the tsunami in Indonesia, have illuminated the weaknesses in emergency response. This paper will discuss the need for defining requirements for components of ad hoc coalitions which are formed to respond to disasters. A goal of our effort was to develop a proof of concept that applying information modeling to the business processes used to protect and mitigate potential loss of an enterprise was feasible. These activities would be modeled both pre- and post-incident.

  5. On the possibility of production of cyclotron isotopes applied in nuclear medicine and technics

    International Nuclear Information System (INIS)

    Radiochemical methods such as ion-exchange chromatography, static extraction, dynamic extraction and thermochromatography were applied to isolate the following nuclides: 48V, 57Co, 67Ga, 111In and 169Yb. The nuclides were obtained on the U-120 cyclotron in the Institute of Nuclear Physics, Cracow or on the synchrocyclotron in the Joint Institute of Nuclear Research, Dubna, USSR. Prospects for production of other neutron-deficient isotopes applied or to be applied in nuclear medicine are outlined. 10 refs., 2 tabs. (author)

  6. Applied genre analysis: a multi-perspective model

    Directory of Open Access Journals (Sweden)

    Vijay K Bhatia

    2002-04-01

    Full Text Available Genre analysis can be viewed from two different perspectives: it may be seen as a reflection of the complex realities of the world of institutionalised communication, or it may be seen as a pedagogically effective and convenient tool for the design of language teaching programmes, often situated within simulated contexts of classroom activities. This paper makes an attempt to understand and resolve the tension between these two seemingly contentious perspectives to answer the question: "Is generic description a reflection of reality, or a convenient fiction invented by applied linguists?". The paper also discusses issues related to the nature and use of linguistic description in a genre-based educational enterprise, claiming that instead of using generic descriptions as models for linguistic reproduction of conventional forms to respond to recurring social contexts, as is often the case in many communication based curriculum contexts, they can be used as analytical resource to understand and manipulate complex inter-generic and multicultural realisations of professional discourse, which will enable learners to use generic knowledge to respond to novel social contexts and also to create new forms of discourse to achieve pragmatic success as well as other powerful human agendas.

  7. Vertically and Horizontally Mounted Wind Mills : Wind Energy Production in Tampere University of Applied Sciences

    OpenAIRE

    Evdokimova, Ekaterina

    2013-01-01

    The purpose of this thesis was to gather information about vertical and horizontal wind mills and to complete a research on wind power production by wind mills which were installed in Tampere University of Applied Sciences. The horizontally mounted wind mill Windspot 3.5 and vertically mounted wind mill Cypress were installed in summer 2011 but they started functioning and supplying energy only during 2012. In the theoretical part of this thesis wind speed and wind power production is dis...

  8. Benthic microalgal production in the Arctic: Applied methods and status of the current database

    DEFF Research Database (Denmark)

    Glud, Ronnie Nøhr; Woelfel, Jana; Karsten, Ulf;

    2009-01-01

    The current database on benthic microalgal production in Arctic waters comprises 10 peer-reviewed and three unpublished studies. Here, we compile and discuss these datasets, along with the applied measurement approaches used. The latter is essential for robust comparative analysis and to clarify...... between increased freshwater run-off, shrinking sea-ice cover, light availability and benthic primary production to assess future impact on the Arctic food web and trophic coupling....

  9. Research on forecasting models of cost of natural uranium production

    International Nuclear Information System (INIS)

    The forecasting model is established for the product cost of long term or short term on the basis of the history data of natural uranium, focusing on the relationship between the factors such as the ore grade, excavate rate, digging depth and ore properties, and the product cost of natural uranium. Another forecasting model is founded for sub-product cost using symbolic statistical linear regression method. The models described above are applied to the product cost of some uranium mine corporation. The method is easy, practical and reliable with reference value. (authors)

  10. International Conference on Applied Mathematics, Modeling and Computational Science & Annual meeting of the Canadian Applied and Industrial Mathematics

    CERN Document Server

    Bélair, Jacques; Kunze, Herb; Makarov, Roman; Melnik, Roderick; Spiteri, Raymond J

    2016-01-01

    Focusing on five main groups of interdisciplinary problems, this book covers a wide range of topics in mathematical modeling, computational science and applied mathematics. It presents a wealth of new results in the development of modeling theories and methods, advancing diverse areas of applications and promoting interdisciplinary interactions between mathematicians, scientists, engineers and representatives from other disciplines. The book offers a valuable source of methods, ideas, and tools developed for a variety of disciplines, including the natural and social sciences, medicine, engineering, and technology. Original results are presented on both the fundamental and applied level, accompanied by an ample number of real-world problems and examples emphasizing the interdisciplinary nature and universality of mathematical modeling, and providing an excellent outline of today’s challenges. Mathematical modeling, with applied and computational methods and tools, plays a fundamental role in modern science a...

  11. Validation of Infrared Azimuthal Model as Applied to GOES Data Over the ARM SGP

    Science.gov (United States)

    Gambheer, Arvind V.; Doelling, David R.; Spangenberg, Douglas A.; Minnis, Patrick

    2004-01-01

    The goal of this research is to identify and reduce the GOES-8 IR temperature biases, induced by a fixed geostationary position, during the course of a day. In this study, the same CERES LW window channel model is applied to GOES-8 IR temperatures during clear days over the Atmospheric Radiation Measurement-Southern Great Plains Central Facility (SCF). The model-adjusted and observed IR temperatures are compared with topof- the-atmosphere (TOA) estimated temperatures derived from a radiative transfer algorithm based on the atmospheric profile and surface radiometer measurements. This algorithm can then be incorporated to derive more accurate Ts from real-time satellite operational products.

  12. Applied Research Consultants (ARC): A Vertical Practicum Model of Training Applied Research

    Science.gov (United States)

    Nadler, Joel T.; Cundiff, Nicole L.

    2009-01-01

    The demand for highly trained evaluation consultants is increasing. Furthermore, the gap between job seekers' evaluation competencies and job recruiters' expectations suggests a need for providing practical training experiences. A model using a vertical practicum (advanced students assisting in the training of newer students) is suggested as an…

  13. A unified framework for benchmark dose estimation applied to mixed models and model averaging

    DEFF Research Database (Denmark)

    Ritz, Christian; Gerhard, Daniel; Hothorn, Ludwig A.

    2013-01-01

    This article develops a framework for benchmark dose estimation that allows intrinsically nonlinear dose-response models to be used for continuous data in much the same way as is already possible for quantal data. This means that the same dose-response model equations may be applied to both...

  14. The economic production lot size model with several production rates

    DEFF Research Database (Denmark)

    Larsen, Christian

    should be chosen in the interval between the demand rate and the production rate, which minimize unit production costs, and should be used in an increasing order. Then, given the production rates, we derive closed form solutions for the optimal runtimes as well as the minimum average cost. Finally we......We study an extension of the economic production lot size model, where more than one production rate can be used during a cycle. The production rates and their corresponding runtimes are decision variables. We decompose the problem into two subproblems. First, we show that all production rates...... derive a near-optimal solution to the general problem....

  15. Alignment of Product Models and Product State Models - Integration of the Product Lifecycle Phases

    DEFF Research Database (Denmark)

    Larsen, Michael Holm; Kirkby, Lars Phillip; Vesterager, Johan

    1999-01-01

    The purpose of this paper is to discuss the integration of the Product Model (PM) and the Product State Model (PCM). Focus is on information exchange from the PSM to the PM within the manufacturing of a single ship. The paper distinguishes between information and knowledge integration. The paper...... provides some overall strategies for integrating PM and PSM. The context of this discussion is a development project at Odense Steel Shipyard....

  16. Model-driven and software product line engineering

    CERN Document Server

    Royer, Jean-Claude

    2013-01-01

    Many approaches to creating Software Product Lines have emerged that are based on Model-Driven Engineering. This book introduces both Software Product Lines and Model-Driven Engineering, which have separate success stories in industry, and focuses on the practical combination of them. It describes the challenges and benefits of merging these two software development trends and provides the reader with a novel approach and practical mechanisms to improve software development productivity.The book is aimed at engineers and students who wish to understand and apply software product lines

  17. Proactive Modeling of Market, Product and Production Architectures

    DEFF Research Database (Denmark)

    Mortensen, Niels Henrik; Hansen, Christian Lindschou; Hvam, Lars;

    2011-01-01

    This paper presents an operational model that allows description of market, products and production architectures. The main feature of this model is the ability to describe both structural and functional aspect of architectures. The structural aspect is an answer to the question: What constitutes...

  18. Robust Decision-making Applied to Model Selection

    Energy Technology Data Exchange (ETDEWEB)

    Hemez, Francois M. [Los Alamos National Laboratory

    2012-08-06

    The scientific and engineering communities are relying more and more on numerical models to simulate ever-increasingly complex phenomena. Selecting a model, from among a family of models that meets the simulation requirements, presents a challenge to modern-day analysts. To address this concern, a framework is adopted anchored in info-gap decision theory. The framework proposes to select models by examining the trade-offs between prediction accuracy and sensitivity to epistemic uncertainty. The framework is demonstrated on two structural engineering applications by asking the following question: Which model, of several numerical models, approximates the behavior of a structure when parameters that define each of those models are unknown? One observation is that models that are nominally more accurate are not necessarily more robust, and their accuracy can deteriorate greatly depending upon the assumptions made. It is posited that, as reliance on numerical models increases, establishing robustness will become as important as demonstrating accuracy.

  19. A Model Driven Engineering Approach Applied to Master Data Management

    Science.gov (United States)

    Menet, Ludovic; Lamolle, Myriam

    The federation of data sources and the definition of pivot models are strongly interrelated topics. This paper explores a mediation solution based on XML architecture and the concept of Master Data Management. In this solution, pivot models use the standard XML Schema allowing the definition of complex data structures. The introduction of a MDE approach is a means to make modeling easier. We use UML as an abstract modeling layer. UML is a modeling object language, which is more and more used and recognized as a standard in the software engineering field, which makes it an ideal candidate for the modeling of XML Schema models. In this purpose we introduce features of the UML formalism, through profiles, to facilitate the definition and the exchange of models.

  20. Adequateness of applying the Zmijewski model on Serbian companies

    Directory of Open Access Journals (Sweden)

    Pavlović Vladan

    2012-12-01

    Full Text Available The aim of the paper is to determine the accuracy of the prediction of Zmijewski model in Serbia on the eligible sample. At the same time, the paper identifies model's strengths, weaknesses and limitations of its possible application. Bearing in mind that the economic environment in Serbia is not similar to the United States at the time the model was developed, Zmijewski model is surprisingly accurate in the case of Serbian companies. The accuracy was slightly weaker than the model results in the U.S. in its original form, but much better than the results model gave in the U.S. in the period 1988-1991, and 1992-1999. Model gave also better results in Serbia comparing those in Croatia, even in Croatia model was adjusted.

  1. Reliability measures for indexed semi-Markov chains applied to wind energy production

    CERN Document Server

    D'Amico, Guglielmo; Prattico, Flavio

    2013-01-01

    The computation of the dependability measures is a crucial point in the planning and development of a wind farm. In this paper we address the issue of energy production by wind turbine by using an indexed semi-Markov chain as a model of wind speed. We present the mathematical model, we describe the data and technical characteristics of a commercial wind turbine (Aircon HAWT-10kW). We show how to compute some of the main dependability measures such as reliability, availability and maintainability functions. We compare the results of the model with real energy production obtained from data available in the Lastem station (Italy) and sampled every 10 minutes.

  2. Modeling Paradigms Applied to the Analysis of European Air Quality

    OpenAIRE

    Makowski, M.

    2000-01-01

    The paper presents an overview of various modeling paradigms applicable to the analysis of complex decision-making that can be represented by large non-linear models. Such paradigms are illustrated by their application to the analysis of a model that helps to identify and analyze various cost-effective policy options aimed at improving European air quality. Also presented is the application of this model to support intergovernmental negotiations.

  3. Applying MDE Tools at Runtime: Experiments upon Runtime Models

    OpenAIRE

    Song, Hui; Huang, Gang; Chauvel, Franck; Sun, Yanshun

    2010-01-01

    to be published International audience Runtime models facilitate the management of running systems in many different ways. One of the advantages of runtime models is that they enable the use of existing MDE tools at runtime to implement common auxiliary activities in runtime management, such as querying, visualization, and transformation. In this tool demonstration paper, we focus on this specific aspect of runtime models. We discuss the requirements of runtime models to enable the use of...

  4. Applying the transferable belief model to diagnostic problems

    International Nuclear Information System (INIS)

    Short presentation of the most relevant elements of the transferable belief model and its use for two problems related to the diagnostic process. These examples are used to enhance the advantages of the transferable belief model over its contender, the bayesian model

  5. Modeling and Optimal Control applied to a vector borne disease

    OpenAIRE

    Rodrigues, Helena Sofia; Monteiro, M. Teresa T.; Torres, Delfim F. M.

    2012-01-01

    A model with six mutually-exclusive compartments related to Dengue disease is presented. In this model there are three vector control tools: insecticides (larvicide and adulticide) and mechanical control. The problem is studied using an Optimal Control (OC) approach. The human data for the model is based on the Cape Verde Dengue outbreak. Some control measures are simulated and their consequences analyzed.

  6. Preliminary Hazard Analysis applied to Uranium Hexafluoride - UF6 production plant

    International Nuclear Information System (INIS)

    The purpose of this paper is to present the results of the Preliminary hazard Analysis applied to the UF6 Production Process, which is part of the UF6 Conversion Plant. The Conversion Plant has designed to produce a high purified UF6 in accordance with the nuclear grade standards. This Preliminary Hazard Analysis is the first step in the Risk Management Studies, which are under current development. The analysis evaluated the impact originated from the production process in the plant operators, members of public, equipment, systems and installations as well as the environment. (author)

  7. Modeling Consumer Learning from Online Product Reviews

    OpenAIRE

    Yi Zhao; Sha Yang; Vishal Narayan; Ying Zhao

    2013-01-01

    We propose a structural model to study the effect of online product reviews on consumer purchases of experiential products. Such purchases are characterized by limited repeat purchase behavior of the same product item (such as a book title) but significant past usage experience with other products of the same type (such as books of the same genre). To cope with the uncertainty in quality of the product item, we posit that consumers may learn from their experience with the same type of product...

  8. Applying the Job Characteristics Model to the College Education Experience

    Science.gov (United States)

    Kass, Steven J.; Vodanovich, Stephen J.; Khosravi, Jasmine Y.

    2011-01-01

    Boredom is one of the most common complaints among university students, with studies suggesting its link to poor grades, drop out, and behavioral problems. Principles borrowed from industrial-organizational psychology may help prevent boredom and enrich the classroom experience. In the current study, we applied the core dimensions of the job…

  9. A procedure for building product models

    DEFF Research Database (Denmark)

    Hvam, Lars; Riis, Jesper; Malis, Martin; Hansen, Benjamin Loer

    This article presents a procedure for building product models to support the specification processes dealing with sales, design of product variants and production preparation. The procedure includes, as the first phase, an analysis and redesign of the business processes, which are to be supported...... with product models. The next phase includes an analysis of the product assortment, and the set up of a so-called product master. Finally the product model is designed and implemented using object oriented modelling. The procedure is developed in order to ensure that the product models constructed are...... fit for the business processes they support, and properly structured and documented, in order to facilitate that the systems can be maintained continually and further developed. The research has been carried out at the Centre for Industrialisation of Engineering, Department of Manufacturing...

  10. Applying XML for designing and interchanging information for multidimensional model

    Institute of Scientific and Technical Information of China (English)

    Lu Changhui; Deng Su; Zhang Weiming

    2005-01-01

    In order to exchange and share information among the conceptual models of data warehouse, and to build a solid base for the integration and share of metadata, a new multidimensional concept model is presented based on XML and its DTD is defined, which can perfectly describe various semantic characteristics of multidimensional conceptual model. According to the multidimensional conceptual modeling technique which is based on UML, the mapping algorithm between the multidimensional conceptual model is described based on XML and UML class diagram, and an application base for the wide use of this technique is given.

  11. Database 'catalogue of techniques applied to materials and products of nuclear engineering'

    International Nuclear Information System (INIS)

    The database 'Catalogue of techniques applied to materials and products of nuclear engineering' (IS MERI) was developed to provide informational support for SSC RF RIAR and other enterprises in scientific investigations. This database contains information on the techniques used at RF Minatom enterprises for reactor material properties investigation. The main purpose of this system consists in the assessment of the current status of the reactor material science experimental base for the further planning of experimental activities and methodical support improvement. (author)

  12. The Production Of Scientific Knowledge In Italy : Evidence In Theoretical, Applied And Technical Sciences.

    OpenAIRE

    Patrucco, Pier Paolo

    2006-01-01

    The paper presents preliminary empirical evidence on the production of scientific knowledge in Italy, in theoretical sciences (physics), applied sciences (chemistry) and technical sciences (engineer ing and petrology). It elaborates on an original dataset of publications and citations for 2,673 Italian researchers, distributed across 61 universities, covering the years between 1990 and 2004. According to a well-established tradition of studies in the economics of science, the results show tha...

  13. Optimisation of a pillow production line applying Lean principles 

    OpenAIRE

    Fookes, William

    2010-01-01

    Manufacturing companies throughout the world are interested in reducing the time between a customer placing an order and them receiving the payment for that order. This premise is something that is a central characteristic for the Lean philosophy, and is one of the reasons to apply it. Today manufacturers around the world are embracing Lean techniques in order to reduce waste and increase productivity, and also increase the inventory turns, which reflects in an improvement of cash flow for th...

  14. The Production of Scientific Knowledge in Italy: Evidence in Theoretical, Applied and Technical Sciences

    OpenAIRE

    Patrucco, Pier Paolo

    2006-01-01

    The paper presents preliminary empirical evidence on the production of scientific knowledge in Italy, in theoretical sciences (physics), applied sciences (chemistry) and technical sciences (engineer ing and petrology). It elaborates on an original dataset of publications and citations for 2,673 Italian researchers, distributed across 61 universities, covering the years between 1990 and 2004. According to a well-established tradition of studies in the economics of science, the results show tha...

  15. Performance Evaluation Model for Product Quality Control of Vegetable Cooperatives

    Directory of Open Access Journals (Sweden)

    Li Qin

    2013-08-01

    Full Text Available The purpose of this study is to investigate the product quality control performance of vegetable cooperatives in China, using Heilongjiang province as a case. This study applies fuzzy integral theory to develop a comprehensive evaluation model and analyzes the product quality control performance of the vegetable cooperatives. The results show that the performance of vegetable cooperatives in the production process is the highest. That is, vegetable cooperatives have important effect on the performance of product quality control mainly in the production process. Through the large-scale operation and the implementation of standardized production, vegetable cooperatives can effectively transform the decentralized production into the unified production. To exert the role of vegetable cooperatives in the product quality control, the incentive systems and the financial support policies should be improved and actively implement the brand strategy.

  16. A procedure for Building Product Models

    DEFF Research Database (Denmark)

    Hvam, Lars

    1999-01-01

    , easily adaptable concepts and methods from data modeling (object oriented analysis) and domain modeling (product modeling). The concepts are general and can be used for modeling all types of specifications in the different phases in the product life cycle. The modeling techniques presented have been...... activities. A basic assumption is that engineers have to take the responsability for building product models to be used in their domain. To do that they must be able to carry out the modeling task on their own without any need for support from computer science experts. This paper presents a set of simple...

  17. Migrating from Process Automation to Process Management Support: A Holistic Approach to Software Engineering applied to Media Production

    Directory of Open Access Journals (Sweden)

    Atta Badii

    2010-04-01

    Full Text Available  This paper presents the on-going research performed in order to migrate from process automation to process management support in the context of media production and more specifically 3D cinematographic immersive and interactive production. The endeavour has been addressed on the basis of a holistic approach to software engineering applied to media production modelling to ensure design correctness, completeness and effectiveness. The focus of the designed application is on information and metadata management throughout the process in a similar fashion to that achieved in Decision Support Systems (DSS to facilitate well-grounded business decisions. The paper sets out the aims and objectives and the methodology deployed. The proposed solution is then described in some detail including the workflow to be supported and the experimental scenario as planned. The paper concludes with some preliminary conclusions and sets out the planned future work.

  18. Applying Model Checking to Industrial-Sized PLC Programs

    CERN Document Server

    AUTHOR|(CDS)2079190; Darvas, Daniel; Blanco Vinuela, Enrique; Tournier, Jean-Charles; Bliudze, Simon; Blech, Jan Olaf; Gonzalez Suarez, Victor M

    2015-01-01

    Programmable logic controllers (PLCs) are embedded computers widely used in industrial control systems. Ensuring that a PLC software complies with its specification is a challenging task. Formal verification has become a recommended practice to ensure the correctness of safety-critical software but is still underused in industry due to the complexity of building and managing formal models of real applications. In this paper, we propose a general methodology to perform automated model checking of complex properties expressed in temporal logics (\\eg CTL, LTL) on PLC programs. This methodology is based on an intermediate model (IM), meant to transform PLC programs written in various standard languages (ST, SFC, etc.) to different modeling languages of verification tools. We present the syntax and semantics of the IM and the transformation rules of the ST and SFC languages to the nuXmv model checker passing through the intermediate model. Finally, two real cases studies of \\CERN PLC programs, written mainly in th...

  19. An Optimization Model for Product Placement on Product Listing Pages

    Directory of Open Access Journals (Sweden)

    Yan-Kwang Chen

    2014-01-01

    Full Text Available The design of product listing pages is a key component of Website design because it has significant influence on the sales volume on a Website. This study focuses on product placement in designing product listing pages. Product placement concerns how venders of online stores place their products over the product listing pages for maximization of profit. This problem is very similar to the offline shelf management problem. Since product information sources on a Web page are typically communicated through the text and image, visual stimuli such as color, shape, size, and spatial arrangement often have an effect on the visual attention of online shoppers and, in turn, influence their eventual purchase decisions. In view of the above, this study synthesizes the visual attention literature and theory of shelf-space allocation to develop a mathematical programming model with genetic algorithms for finding optimal solutions to the focused issue. The validity of the model is illustrated with example problems.

  20. APPLYING ENTERPRISE MODELS AS INTERFACE FOR INFORMATION SEARCHING

    OpenAIRE

    MATONGO, Tanguy; DEGBELO, Auriol

    2009-01-01

    Nowadays, more and more companies use Enterprise Models to integrate and coordinate their business processes with the aim of remaining competitive on the market. Consequently, Enterprise Models play a critical role in this integration enabling to improve the objectives of the enterprise, and ways to reach them in a given period of time. Through Enterprise Models, companies are able to improve the management of their operations, actors, processes and also to improve communication within the or...

  1. Lithospheric structure models applied for locating the Romanian seismic events

    OpenAIRE

    Oancea, V.; Popescu, E.; M. Rizescu; Enescu, D.

    1994-01-01

    The paper presents our attempts made for improving the locations obtained for local seismic events, using refined lithospheric structure models. The location program (based on Geiger method) supposes a known model. The program is run for some seismic sequences which occurred in different regions, on the Romanian territory, using for each of the sequences three velocity models: 1) 7 layers of constant velocity of seismic waves, as an average structure of the lithosphere for the whole territory...

  2. Applied General Equilibrium Modelling and Labour Market Forecasting

    OpenAIRE

    G.A.Meagher; P. D. Adams; J.M. Horridge

    2000-01-01

    This paper describes the application of the MONASH CGE model to labour market forecasting in Australia. The method consists of solving a top-down sequence of models that proceeds from a macro scenario to the CGE model to various labour market extensions. The extensions involve ex post processing of the MONASH results based on employment data from the census and a number of large sample surveys. Their purpose is to greatly increase the amount of information furnished by the simulations at mode...

  3. Manifold learning techniques and model reduction applied to dissipative PDEs

    OpenAIRE

    Sonday, Benjamin E.; Singer, Amit; Gear, C. William; Kevrekidis, Ioannis G.

    2010-01-01

    We link nonlinear manifold learning techniques for data analysis/compression with model reduction techniques for evolution equations with time scale separation. In particular, we demonstrate a `"nonlinear extension" of the POD-Galerkin approach to obtaining reduced dynamic models of dissipative evolution equations. The approach is illustrated through a reaction-diffusion PDE, and the performance of different simulators on the full and the reduced models is compared. We also discuss the relati...

  4. Epidemiological Models Applied to Viruses in Computer Networks

    OpenAIRE

    José R.S. Piqueira; Betyna F. Navarro; Luiz H. A. Monteiro

    2005-01-01

    To investigate the use of classical epidemiological models for studying computer virus propagation we described analogies between computer and population disease propagation using SIR (Susceptible-Infected-Removed) epidemiological models. By modifying these models with the introduction of anti-viral individuals we analyzed the stability of the disease free equilibrium points. Consequently, the basal virus reproduction rate gives some theoretical hints about how to avoid infections in a comput...

  5. Macroscopic fission gas release model applied to Russian fuel

    International Nuclear Information System (INIS)

    Most models for estimating the rate of fission gas release (FGR) usually maintain the fuel temperature as an independent variable. The FGR model developed by M. Uchida is a modified Booth-type diffusional model with a change from temperature dependence to power dependence. Uchida's model has been checked by Kola-3 and Sofit-1.1 data sets. Very good agreement between calculated and experimental values is observed for Kola-3 and considerable discrepancies were found with Sofit-1.1 data sets. (author)

  6. Green Technology Applying Heat Pump Drying, Modelling and Simulation

    OpenAIRE

    Mukhatov, Kirill

    2014-01-01

    This work has focused on the development of atmospheric freeze and non-freeze drying applying a heat pump system as an environmental friendly and economically preferable technology compare to vacuum freeze drying. The main reason of the research is a lack of knowledge and information in the literature about the atmospheric heat pump drying, while the more common vacuum freeze drying process is widely covered.The main objective for developing atmospheric heat pump drying as a new drying techno...

  7. An effective model for ergonomic optimization applied to a new automotive assembly line

    Science.gov (United States)

    Duraccio, Vincenzo; Elia, Valerio; Forcina, Antonio

    2016-06-01

    An efficient ergonomic optimization can lead to a significant improvement in production performance and a considerable reduction of costs. In the present paper new model for ergonomic optimization is proposed. The new approach is based on the criteria defined by National Institute of Occupational Safety and Health and, adapted to Italian legislation. The proposed model provides an ergonomic optimization, by analyzing ergonomic relations between manual work in correct conditions. The model includes a schematic and systematic analysis method of the operations, and identifies all possible ergonomic aspects to be evaluated. The proposed approach has been applied to an automotive assembly line, where the operation repeatability makes the optimization fundamental. The proposed application clearly demonstrates the effectiveness of the new approach.

  8. MASS CUSTOMIZATION and PRODUCT MODELS

    DEFF Research Database (Denmark)

    Svensson, Carsten; Malis, Martin

    2003-01-01

    to the product. Through the application of a mass customization strategy, companies have a unique opportunity to create increased customer satisfaction. In a customized production, knowledge and information have to be easily accessible since every product is a unique combination of information. If the dream...... of a customized alternative instead of a uniform mass-produced product shall become a reality, then the cross-organizational efficiency must be kept at a competitive level. This is the real challenge for mass customization. A radical restructuring of both the internal and the external knowledge management systems...

  9. A productivity model for parasitized, multibrooded songbirds

    Science.gov (United States)

    Powell, L.A.; Knutson, M.G.

    2006-01-01

    We present an enhancement of a simulation model to predict annual productivity for Wood Thrushes (Hylocichla mustelina) and American Redstarts (Setophaga ruticilla); the model includes effects of Brown-headed Cowbird (Molothrus ater) parasitism. We used species-specific data from the Driftless Area Ecoregion of Wisconsin, Minnesota, and Iowa to parameterize the model as a case study. The simulation model predicted annual productivity of 2.03 ?? 1.60 SD for Wood Thrushes and 1.56 ?? 1.31 SD for American Redstarts. Our sensitivity analysis showed that high parasitism lowered Wood Thrush annual productivity more than American Redstart productivity, even though parasitism affected individual nests of redstarts more severely. Annual productivity predictions are valuable for habitat managers, but productivity is not easily obtained from field studies. Our model provides a useful means of integrating complex life history parameters to predict productivity for songbirds that experience nest parasitism. ?? The Cooper Ornithological Society 2006.

  10. Bio-based composites from stone groundwood applied to new product development

    Directory of Open Access Journals (Sweden)

    Pere Mutje

    2012-11-01

    Full Text Available This paper deals with the product design, engineering, and material selection intended for the manufacturing of an eco-friendly chair. The final product is expected to combine design attributes with technical and legal feasibility with the implementation of new bio-based materials. Considering the industrial design, a range of objectives and trends were determined after setting the market requirements, and the final concept was proposed and modeled. The product geometry, production technology, and legal specifications were the input data for product engineering. The material selection was based on the technical requirements. Polypropylene (PP composite materials based on coupled-fiberglass, sized-fiberglass, and coupled-stone ground wood reinforcements were prepared and characterized. Final formulations based on these PP composites are proposed and justified.

  11. A review of the technology and process on integrated circuits failure analysis applied in communications products

    Science.gov (United States)

    Ming, Zhimao; Ling, Xiaodong; Bai, Xiaoshu; Zong, Bo

    2016-02-01

    The failure analysis of integrated circuits plays a very important role in the improvement of the reliability in communications products. This paper intends to mainly introduce the failure analysis technology and process of integrated circuits applied in the communication products. There are many technologies for failure analysis, include optical microscopic analysis, infrared microscopic analysis, acoustic microscopy analysis, liquid crystal hot spot detection technology, optical microscopic analysis technology, micro analysis technology, electrical measurement, microprobe technology, chemical etching technology and ion etching technology. The integrated circuit failure analysis depends on the accurate confirmation and analysis of chip failure mode, the search of the root failure cause, the summary of failure mechanism and the implement of the improvement measures. Through the failure analysis, the reliability of integrated circuit and rate of good products can improve.

  12. Applying CBR to machine tool product configuration design oriented to customer requirements

    Science.gov (United States)

    Wang, Pengjia; Gong, Yadong; Xie, Hualong; Liu, Yongxian; Nee, Andrew Yehching

    2016-03-01

    Product customization is a trend in the current market-oriented manufacturing environment. However, deduction from customer requirements to design results and evaluation of design alternatives are still heavily reliant on the designer's experience and knowledge. To solve the problem of fuzziness and uncertainty of customer requirements in product configuration, an analysis method based on the grey rough model is presented. The customer requirements can be converted into technical characteristics effectively. In addition, an optimization decision model for product planning is established to help the enterprises select the key technical characteristics under the constraints of cost and time to serve the customer to maximal satisfaction. A new case retrieval approach that combines the self-organizing map and fuzzy similarity priority ratio method is proposed in case-based design. The self-organizing map can reduce the retrieval range and increase the retrieval efficiency, and the fuzzy similarity priority ratio method can evaluate the similarity of cases comprehensively. To ensure that the final case has the best overall performance, an evaluation method of similar cases based on grey correlation analysis is proposed to evaluate similar cases to select the most suitable case. Furthermore, a computer-aided system is developed using MATLAB GUI to assist the product configuration design. The actual example and result on an ETC series machine tool product show that the proposed method is effective, rapid and accurate in the process of product configuration. The proposed methodology provides a detailed instruction for the product configuration design oriented to customer requirements.

  13. Trailing edge noise model applied to wind turbine airfoils

    Energy Technology Data Exchange (ETDEWEB)

    Bertagnolio, F.

    2008-01-15

    The aim of this work is firstly to provide a quick introduction to the theory of noise generation that are relevant to wind turbine technology with focus on trailing edge noise. Secondly, the socalled TNO trailing edge noise model developed by Parchen [1] is described in more details. The model is tested and validated by comparing with other results from the literature. Finally, this model is used in the optimization process of two reference airfoils in order to reduce their noise signature: the RISOE-B1-18 and the S809 airfoils. (au)

  14. Trailing edge noise model applied to wind turbine airfoils

    DEFF Research Database (Denmark)

    Bertagnolio, Franck

    The aim of this work is firstly to provide a quick introduction to the theory of noise generation that are relevant to wind turbine technology with focus on trailing edge noise. Secondly, the socalled TNO trailing edge noise model developed by Parchen [1] is described in more details. The model i...... tested and validated by comparing with other results from the literature. Finally, this model is used in the optimization process of two reference airfoils in order to reduce their noise signature: the RISØ-B1-18 and the S809 airfoils....

  15. Blue sky catastrophe as applied to modeling of cardiac rhythms

    Science.gov (United States)

    Glyzin, S. D.; Kolesov, A. Yu.; Rozov, N. Kh.

    2015-07-01

    A new mathematical model for the electrical activity of the heart is proposed. The model represents a special singularly perturbed three-dimensional system of ordinary differential equations with one fast and two slow variables. A characteristic feature of the system is that its solution performs nonclassical relaxation oscillations and simultaneously undergoes a blue sky catastrophe bifurcation. Both these factors make it possible to achieve a phenomenological proximity between the time dependence of the fast component in the model and an ECG of the human heart.

  16. Epidemiological Models Applied to Viruses in Computer Networks

    Directory of Open Access Journals (Sweden)

    José R.S. Piqueira

    2005-01-01

    Full Text Available To investigate the use of classical epidemiological models for studying computer virus propagation we described analogies between computer and population disease propagation using SIR (Susceptible-Infected-Removed epidemiological models. By modifying these models with the introduction of anti-viral individuals we analyzed the stability of the disease free equilibrium points. Consequently, the basal virus reproduction rate gives some theoretical hints about how to avoid infections in a computer network. Numerical simulations show the dynamics of the process for several parameter values giving the number of infected machines as a function of time.

  17. The Cheshire Cat principle applied to hybrid bag models

    International Nuclear Information System (INIS)

    Here is argued for the Cheshire Cat point of view according to which the bag (itself) has only notational, but no physical significance. It is explained in a 1+1 dimensional exact Cheshire Cat model how a fermion can escape from the bag by means of an anomaly. We also suggest that suitably constructed hybrid bag models may be used to fix such parameters of effective Lagrangians that can otherwise be obtained from experiments only. This idea is illustrated in a calculation of the mass of the pseudoscalar η' meson in 1+1 dimension. Thus there is hope to find a construction principle for a phenomenologically sensible model. (orig.)

  18. Pegase modelling studies applied to micropollutants: use cases

    OpenAIRE

    Grard, Aline; Everbecq, Etienne; Deliège, Jean-François

    2012-01-01

    For the last years, PEGASE model has been used in two studies aiming at better assessment of the source and behaviour of micropollutants in the rivers network. In the first study, with financial support from INERIS1, the PEGASE model has been used to simulate the fate of micropollutants (Cd, Zn & Cu) within the basins of the Meuse and the Adour. The choice of the modelled micropollutants and sub-basins has been performed in agreement with INERIS, the involved Water Agencies and the Aquapol...

  19. Nature preservation acceptance model applied to tanker oil spill simulations

    DEFF Research Database (Denmark)

    Friis-Hansen, Peter; Ditlevsen, Ove Dalager

    2003-01-01

    This paper emphazises the adverse event categorization principle in risk acceptance analysis, and suggests the use of a standard type risk profile of lognormal type for each category of adverse events. The risk profile for a specified category of adverse events and corresponding to a given...... of the single oil spill, a risk profile for the costs is obtained that is indistinguishable from the standard lognormal risk profile.Finally the question of formulating a public risk acceptance criterion is addressed following Ditlevsen, and it is argued that a Nature Preservation Willingness Index...... risk acceptance criterion for the pollution of the environment. This NPWI acceptance criterion is applied to the oil spill example....

  20. Lithospheric structure models applied for locating the Romanian seismic events

    Directory of Open Access Journals (Sweden)

    V. Oancea

    1994-06-01

    Full Text Available The paper presents our attempts made for improving the locations obtained for local seismic events, using refined lithospheric structure models. The location program (based on Geiger method supposes a known model. The program is run for some seismic sequences which occurred in different regions, on the Romanian territory, using for each of the sequences three velocity models: 1 7 layers of constant velocity of seismic waves, as an average structure of the lithosphere for the whole territory; 2 site dependent structure (below each station, based on geophysical and geological information on the crust; 3 curves deseribing the dependence of propagation velocities with depth in the lithosphere, characterizing the 7 structural units delineated on the Romanian territory. The results obtained using the different velocity models are compared. Station corrections are computed for each data set. Finally, the locations determined for some quarry blasts are compared with the real ones.

  1. Applied topology optimization of vibro-acoustic hearing instrument models

    Science.gov (United States)

    Søndergaard, Morten Birkmose; Pedersen, Claus B. W.

    2014-02-01

    Designing hearing instruments remains an acoustic challenge as users request small designs for comfortable wear and cosmetic appeal and at the same time require sufficient amplification from the device. First, to ensure proper amplification in the device, a critical design challenge in the hearing instrument is to minimize the feedback between the outputs (generated sound and vibrations) from the receiver looping back into the microphones. Secondly, the feedback signal is minimized using time consuming trial-and-error design procedures for physical prototypes and virtual models using finite element analysis. In the present work it is demonstrated that structural topology optimization of vibro-acoustic finite element models can be used to both sufficiently minimize the feedback signal and to reduce the time consuming trial-and-error design approach. The structural topology optimization of a vibro-acoustic finite element model is shown for an industrial full scale model hearing instrument.

  2. A Model-Based Prognostics Approach Applied to Pneumatic Valves

    Data.gov (United States)

    National Aeronautics and Space Administration — Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain...

  3. A Model-based Prognostics Approach Applied to Pneumatic Valves

    Data.gov (United States)

    National Aeronautics and Space Administration — Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain...

  4. Simulation of Cognitive Radio System Applying Different Wireless Channel Models

    Directory of Open Access Journals (Sweden)

    Mohamed Shalaby

    2013-04-01

    Full Text Available Cognitive radio is an emerging technology, which aims to upgrade the spectrum utilization by allowing thesecondary users to operate at the spectrum bands vacated by the primary users. A cognitive radio systemmodel was simulated and the performance of the energy detector was evaluated by using different wirelesschannel models. These models include Additive White Gaussian Noise (AWGN model, Rayleigh fadingmodel, and Rician fading model. The simulation results show that by increasing the signal to noise ratio,the detection capability of the energy detector can be improved and the false alarm probability and themissed detection probability can be reduced. Moreover, the line of sight path strength of the Rician fadinghas a great effect on the energy detector performance. It was observed that, the line of sight path strength(k of 20 can save the signal power by 40 dB over a single path transmission and 25 dB over a multipathtransmission.

  5. Tensegrity applied to modelling the motion of viruses

    Institute of Scientific and Technical Information of China (English)

    Cretu Simona-Mariana; Brinzan Gabriela-Catalina

    2011-01-01

    A considerable number of viruses' structures have been discovered and more are expected to be identified. Different viruses' symmetries can be observed at the nanoscale level. The mechanical models of some viruses realised by scientists are described in this paper, none of which has taken into consideration the internal deformation of subsystems.The authors' models for some viruses' elements are introduced, with rigid and flexible links, which reproduce the movements of viruses including internal deformations of the subunits.

  6. The J3 SCR model applied to resonant converter simulation

    Science.gov (United States)

    Avant, R. L.; Lee, F. C. Y.

    1985-01-01

    The J3 SCR model is a continuous topology computer model for the SCR. Its circuit analog and parameter estimation procedure are uniformly applicable to popular computer-aided design and analysis programs such as SPICE2 and SCEPTRE. The circuit analog is based on the intrinsic three pn junction structure of the SCR. The parameter estimation procedure requires only manufacturer's specification sheet quantities as a data base.

  7. Tensegrity applied to modelling the motion of viruses

    Science.gov (United States)

    Simona-Mariana, Cretu; Gabriela-Catalina, Brinzan

    2011-02-01

    A considerable number of viruses' structures have been discovered and more are expected to be identified. Different viruses' symmetries can be observed at the nanoscale level. The mechanical models of some viruses realised by scientists are described in this paper, none of which has taken into consideration the internal deformation of subsystems. The authors' models for some viruses' elements are introduced, with rigid and flexible links, which reproduce the movements of viruses including internal deformations of the subunits.

  8. BFFT formalism applied to the minimal chiral Schwinger model

    CERN Document Server

    Natividade, C P; Belvedere, L V

    2000-01-01

    The minimal chiral Schwinger model is discussed from the Batalin-Fradkin-Fradkina-Tyutin point of view. The conversion of second-class constraints to first-class ones results in an extended gauge-invariant theory which is equivalent for $a=2$ to the vector Schwinger model at the Lagrangian level. Here, we present arguments which show that such equivalence does no exist at the operatorial level.

  9. Validation of models with constant bias: an applied approach

    Directory of Open Access Journals (Sweden)

    Salvador Medina-Peralta

    2014-06-01

    Full Text Available Objective. This paper presents extensions to the statistical validation method based on the procedure of Freese when a model shows constant bias (CB in its predictions and illustrate the method with data from a new mechanistic model that predict weight gain in cattle. Materials and methods. The extensions were the hypothesis tests and maximum anticipated error for the alternative approach, and the confidence interval for a quantile of the distribution of errors. Results. The model evaluated showed CB, once the CB is removed and with a confidence level of 95%, the magnitude of the error does not exceed 0.575 kg. Therefore, the validated model can be used to predict the daily weight gain of cattle, although it will require an adjustment in its structure based on the presence of CB to increase the accuracy of its forecasts. Conclusions. The confidence interval for the 1-α quantile of the distribution of errors after correcting the constant bias, allows determining the top limit for the magnitude of the error of prediction and use it to evaluate the evolution of the model in the forecasting of the system. The confidence interval approach to validate a model is more informative than the hypothesis tests for the same purpose.

  10. A diffusion model for service products

    OpenAIRE

    Shi, Xiaohui; Chumnumpan, Pattarin; Fernandes, Kiran

    2014-01-01

    Purpose – This paper aims to develop a diffusion model that can be used to understand and forecast the market growth of service products in a competitive environment. Despite the fast growth of the service sector, the existing literature has dedicated little effort to modeling the market growth of service products. Design/methodology/approach – The authors propose a choice-type diffusion model that links the issues of service product utility, customers’ choice preference, customer switching b...

  11. Nutrient-controlled growth of Skeletonema costatum: an applied model

    Science.gov (United States)

    Sun, Ke; Qiu, Zhongfeng; He, Yijun; Yin, Baoshu

    2014-05-01

    To model Skeletonema costatum blooms and their relationship with environmental parameters in situ, a S. costatum-specific zero-dimensional box model based on the mechanistic model Eco3M was established using physiological features. The parameters were calibrated using experimental counterparts, and simulations were compared with published laboratory findings. The resulting normalized objective function (NOF) values are less than 1.0 (and in most cases less than 0.58) and the values for the slope γ (between 0.656 7-1.127 4) and R 2 (between 0.806 8-0.971) are close to 1.0 for most of the sub-figures. This indicates good agreement between simulated and measured data and suggests that the model reproduces the general characteristics of S. costatum growth and use of nutrients under different N- or P-limiting conditions. The model is appropriate for further applications and can be used to test more scenarios using other nutrients.

  12. Mathematical modeling applied to the left ventricle of heart

    CERN Document Server

    Ranjbar, Saeed

    2014-01-01

    Background: How can mathematics help us to understand the mechanism of the cardiac motion? The best known approach is to take a mathematical model of the fibered structure, insert it into a more-or-less complex model of cardiac architecture, and then study the resulting fibers of activation that propagate through the myocardium. In our paper, we have attempted to create a novel software capable of demonstrate left ventricular (LV) model in normal hearts. Method: Echocardiography was performed on 70 healthy volunteers. Data evaluated included: velocity (radial, longitudinal, rotational and vector point), displacement (longitudinal and rotational), strain rate (longitudinal and circumferential) and strain (radial, longitudinal and circumferential) of all 16 LV myocardial segments. Using these data, force vectors of myocardial samples were estimated by MATLAB software, interfaced in the echocardiograph system. Dynamic orientation contraction (through the cardiac cycle) of every individual myocardial fiber could ...

  13. Applied Bounded Model Checking for Interlocking System Designs

    DEFF Research Database (Denmark)

    Haxthausen, Anne Elisabeth; Peleska, Jan; Pinger, Ralf

    2013-01-01

    In this article the verification and validation of interlocking systems is investigated. Reviewing both geographical and route-related interlocking, the verification objectives can be structured from a perspective of computer science into (1) verification of static semantics, and (2) verification...... of behavioural (operational) semantics. The former checks that the plant model – that is, the software components reflecting the physical components of the interlocking system – has been set up in an adequate way. The latter investigates trains moving through the network, with the objective to uncover potential...... safety violations. From a formal methods perspective, these verification objectives can be approached by theorem proving, global, or bounded model checking. This article explains the techniques for application of bounded model checking techniques, and discusses their advantages in comparison...

  14. Applied Bounded Model Checking for Interlocking System Designs

    DEFF Research Database (Denmark)

    Haxthausen, Anne Elisabeth; Peleska, Jan; Pinger, Ralf

    2014-01-01

    In this paper the verification and validation of interlocking systems is investigated. Reviewing both geographical and route-related interlocking, the verification objectives can be structured from a perspective of computer science into (1) verification of static semantics, and (2) verification of...... behavioural (operational) semantics. The former checks that the plant model – that is, the software components reflecting the physical components of the interlocking system – has been set up in an adequate way. The latter investigates trains moving through the network, with the objective to uncover potential...... safety violations. From a formal methods perspective, these verification objectives can be approached by theorem proving, global, or bounded model checking. This paper explains the techniques for application of bounded model checking techniques, and discusses their advantages in comparison to the...

  15. Differential Evolution algorithm applied to FSW model calibration

    Science.gov (United States)

    Idagawa, H. S.; Santos, T. F. A.; Ramirez, A. J.

    2014-03-01

    Friction Stir Welding (FSW) is a solid state welding process that can be modelled using a Computational Fluid Dynamics (CFD) approach. These models use adjustable parameters to control the heat transfer and the heat input to the weld. These parameters are used to calibrate the model and they are generally determined using the conventional trial and error approach. Since this method is not very efficient, we used the Differential Evolution (DE) algorithm to successfully determine these parameters. In order to improve the success rate and to reduce the computational cost of the method, this work studied different characteristics of the DE algorithm, such as the evolution strategy, the objective function, the mutation scaling factor and the crossover rate. The DE algorithm was tested using a friction stir weld performed on a UNS S32205 Duplex Stainless Steel.

  16. Differential Evolution algorithm applied to FSW model calibration

    International Nuclear Information System (INIS)

    Friction Stir Welding (FSW) is a solid state welding process that can be modelled using a Computational Fluid Dynamics (CFD) approach. These models use adjustable parameters to control the heat transfer and the heat input to the weld. These parameters are used to calibrate the model and they are generally determined using the conventional trial and error approach. Since this method is not very efficient, we used the Differential Evolution (DE) algorithm to successfully determine these parameters. In order to improve the success rate and to reduce the computational cost of the method, this work studied different characteristics of the DE algorithm, such as the evolution strategy, the objective function, the mutation scaling factor and the crossover rate. The DE algorithm was tested using a friction stir weld performed on a UNS S32205 Duplex Stainless Steel

  17. Computational modeling applied to stress gradient analysis for metallic alloys

    International Nuclear Information System (INIS)

    Nowadays composite materials including materials reinforced by particles are the center of the researcher's attention. There are problems with the stress measurements in these materials, connected with the superficial stress gradient caused by the difference of the stress state of particles on the surface and in the matrix of the composite material. Computer simulation of diffraction profile formed by superficial layers of material allows simulate the diffraction experiment and gives the possibility to resolve the problem of stress measurements when the stress state is characterized by strong gradient. The aim of this paper is the application of computer simulation technique, initially developed for homogeneous materials, for diffraction line simulation of composite materials and alloys. Specifically we applied this technique for siluminum fabricated by powder metallurgy. (author)

  18. Making geochemical data representation simple: pattern classification applied to products of Mt Etna volcano

    Science.gov (United States)

    Corsaro, Rosa Anna; Falsaperla, Susanna; Langer, Horst

    2013-04-01

    We apply a pattern classification method based on Kohonen maps and fuzzy clustering to geochemical analyses of volcanic products erupted by Mt Etna during lava flows, Strombolian and lava-fountain activity. Two data sets are considered: the first one refer to volcanic products collected at Mt. Etna from 1995 to 2005; the second data set covers the time span from 2006 to 2012 during which important volcanic unrests (in 2006 and 2007-08) and 25 lava fountains (in 2011-12) occurred. For each sample, 13 major and trace elements are considered. The classifier provides an efficient identification of groups of volcanic products with similar geochemical composition. The potential benefits of the method for the visualization of multi-component characteristics of magma are presented. Unlike the many low-dimensional diagrams (78 possible combinations in conventional 2D graphs) required by classical analyses, our method offers the graphical visualization of the results in just a single picture, using a convenient color code. In addition, this graphical visualization allows us the rapid identification of the compositional features of each sample and their comparison with all products analyzed in the 16-year-long time span. This simplified representation of the multivariate data it is extremely useful to investigate on the development of geochemical properties of the erupted material in time. Using pattern classification on geochemical data collected at Etna from 1995-2005, Corsaro et al. (2013) highlight links between eruptive centers, which deliver a reliable picture of a multifaceted plumbing system in agreement with geochemical and geophysical evidence reported in the literature. Applying the classification method to the data collected from 2006 on, we analyze how the most recent eruptive products are related to this picture, investigating on time developments as well as similarities to data groups identified in the previous decade.

  19. Applying Buddhist Practices to Advocacy: The Advocacy-Serving Model

    Science.gov (United States)

    Warren, Jane; Klepper, Konja K.; Lambert, Serena; Nunez, Johnna; Williams, Susan

    2011-01-01

    Creating and retaining empathic connections with the most disenfranchised among us can take a toll on the wellness of counselor advocates. The Advocacy-Serving Model is introduced as a creative approach to strengthening the ability of advocates to serve through enhancing awareness, focusing actions, and connecting to community. The model…

  20. Improving Credit Scorecard Modeling Through Applying Text Analysis

    Directory of Open Access Journals (Sweden)

    Omar Ghailan

    2016-04-01

    Full Text Available In the credit card scoring and loans management, the prediction of the applicant’s future behavior is an important decision support tool and a key factor in reducing the risk of Loan Default. A lot of data mining and classification approaches have been developed for the credit scoring purpose. For the best of our knowledge, building a credit scorecard by analyzing the textual data in the application form has not been explored so far. This paper proposes a comprehensive credit scorecard model technique that improves credit scorecard modeling though employing textual data analysis. This study uses a sample of loan application forms of a financial institution providing loan services in Yemen, which represents a real-world situation of the credit scoring and loan management. The sample contains a set of Arabic textual data attributes defining the applicants. The credit scoring model based on the text mining pre-processing and logistic regression techniques is proposed and evaluated through a comparison with a group of credit scorecard modeling techniques that use only the numeric attributes in the application form. The results show that adding the textual attributes analysis achieves higher classification effectiveness and outperforms the other traditional numerical data analysis techniques.

  1. Applying the elastic model for various nucleus-nucleus fusion

    International Nuclear Information System (INIS)

    The Elastic Model of two free parameters m,d given by Scalia has been used for wider energy regions to fit the available experimental data for potential barriers and cross sections. In order to generalize Scalia's formula in both sub- and above-barrier regions, we calculated m, d for pairs rather than those given by Scalia and compared the calculated cross sections with the experimental data. This makes a generalization of the Elastic Model in describing fusion process. On the other hand, Scalia's range of interacting systems was 24 ≤ A ≤194 where A is the compound nucleus mass number. Our extension of that model includes an example of the pairs of A larger than his final limit aiming to make it as a general formula for any type of reactants: light, intermediate or heavy systems. A significant point is the comparison of Elastic Model calculations with the well known methods studying complete fusion and compound nucleus formation, namely with the resultants of using Proximity potential with either Sharp or Smooth cut-off approximations

  2. Applying an Employee-Motivation Model to Prevent Student Plagiarism.

    Science.gov (United States)

    Malouff, John M.; Sims, Randi L.

    1996-01-01

    A model based on Vroom's expectancy theory of employee motivation posits that instructors can prevent plagiarism by ensuring that students understand the rules of ethical writing, expect assignments to be manageable and have personal benefits, and expect plagiarism to be difficult and have important personal costs. (SK)

  3. Polarimetric SAR interferometry applied to land ice: modeling

    DEFF Research Database (Denmark)

    Dall, Jørgen; Papathanassiou, Konstantinos; Skriver, Henning

    2004-01-01

    This paper introduces a few simple scattering models intended for the application of polarimetric SAR interfer-ometry to land ice. The principal aim is to eliminate the penetration bias hampering ice sheet elevation maps generated with single-channel SAR interferometry. The polarimetric coherent...

  4. Modular Modelling and Simulation Approach - Applied to Refrigeration Systems

    DEFF Research Database (Denmark)

    Sørensen, Kresten Kjær; Stoustrup, Jakob

    2008-01-01

    This paper presents an approach to modelling and simulation of the thermal dynamics of a refrigeration system, specifically a reefer container. A modular approach is used and the objective is to increase the speed and flexibility of the developed simulation environment. The refrigeration system is...

  5. Dynamics Model Applied to Pricing Options with Uncertain Volatility

    Directory of Open Access Journals (Sweden)

    Lorella Fatone

    2012-01-01

    model is proposed. The data used to test the calibration problem included observations of asset prices over a finite set of (known equispaced discrete time values. Statistical tests were used to estimate the statistical significance of the two parameters of the Black-Scholes model: the volatility and the drift. The effects of these estimates on the option pricing problem were investigated. In particular, the pricing of an option with uncertain volatility in the Black-Scholes framework was revisited, and a statistical significance was associated with the price intervals determined using the Black-Scholes-Barenblatt equations. Numerical experiments involving synthetic and real data were presented. The real data considered were the daily closing values of the S&P500 index and the associated European call and put option prices in the year 2005. The method proposed here for calibrating the Black-Scholes dynamics model could be extended to other science and engineering models that may be expressed in terms of stochastic dynamical systems.

  6. Validating and Applying Numerical Models for Current Energy Capture Devices

    Science.gov (United States)

    Hirlinger, C. Y.; James, S. C.; Cardenas, M. P.

    2014-12-01

    With the growing focus on renewable energy, there is increased interest in modeling and optimizing current energy capture (CEC) devices. The interaction of multiple wakes from CEC devices can affect optimal placement strategy, and issues of environmental impacts on sediment transport and large-scale flow should be examined. Numerical models of four flume-scale experiments were built using Sandia National Laboratories' Environmental Fluid Dynamics Code (SNL-EFDC.) Model predictions were calibrated against measured velocities to estimate flow and turbine parameters. The velocity deficit was most sensitive to αmd, the dimensionless Smagorinsky constant related to horizontal momentum diffusion, and to CPB, the dimensionless partial blockage coefficient accounting for the physical displacement of fluid due to turbine blockage. Calibration to four data sets showed αmd ranged from 0.3 to 1.0 while CPB ranged from 40 to 300. Furthermore, results of parameter estimation indicated centerline velocity data were insufficient to uniquely identify the turbulence, flow, and device parameters; cross-channel velocity measurements at multiple locations downstream yielded important calibration information and it is likely that vertical velocity profiles would also be useful to the calibration effort. In addition to flume scale models, a full-scale implementation of a CEC device at Roza Canal in Yakima, WA was developed. The model was analyzed to find an appropriate grid size and to understand the sensitivity of downstream velocity profiles to horizontal momentum diffusion and partial blockage coefficients. Preliminary results generally showed that as CPB increased the wake was enhanced vertically.

  7. CRC-cards for Product Modelling

    DEFF Research Database (Denmark)

    Hvam, Lars; Riis, Jesper; Hansen, Benjamin Loer

    2003-01-01

    , transportation, service and decommissioning. A main challenge when building product models is to collect and document the product related data, information and knowledge in a structured way. CRC cards are index cards (or computerized versions of these) which are used to record proposed classes, the behavior...... of the classes, their responsibilities, and their relationship to other classes (collaboration). CRC modelling gives an effective, low-tech method for domain-experts, programmers and users to work closely together to identify, structure, understand and document a product model. CRC cards were originally...... introduced back in 1989 for software developers in general as a tool for defining an object oriented analysis model. In this paper CRC cards and the associated object oriented modelling techniques are adapted to product modelling. CRC modelling includes for instance: Organizing the CRC modelling team...

  8. Sum rule limitations of kinetic particle-production models

    International Nuclear Information System (INIS)

    Photoproduction and absorption sum rules generalized to systems at finite temperature provide a stringent check on the validity of kinetic models for the production of hard photons in intermediate energy nuclear collisions. We inspect such models for the case of nuclear matter at finite temperature employed in a kinetic regime which copes those encountered in energetic nuclear collisions, and find photon production rates which significantly exceed the limits imposed by the sum rule even under favourable concession. This suggests that coherence effects are quite important and the production of photons cannot be considered as an incoherent addition of individual NNγ production processes. The deficiencies of present kinetic models may also apply for the production of probes such as the pion which do not couple perturbatively to the nuclear currents. (orig.)

  9. A grand model for chemical product design

    DEFF Research Database (Denmark)

    Fung, Ka Y.; Ng, Ka M.; Zhang, Lei;

    2016-01-01

    , a pricing model, an economic model as well as factors such as company strategy, government policies and regulations. This article introduces the model and highlights selected aspects of the model with two case studies. One is a die attach adhesive that illustrates how pricing affects profitability......, and how product composition changes with market conditions. Another is a hand lotion that illustrates how product quality affects the profit.(C) 2016 Elsevier Ltd. All rights reserved....

  10. Integrated modelling of crop production and nitrate leaching with the Daisy model

    OpenAIRE

    Manevski, Kiril; Børgesen, Christen D.; Li, Xiaoxin; ANDERSEN, MATHIAS N.; Abrahamsen, Per; Hu, Chunsheng; Hansen, Søren

    2016-01-01

    An integrated modelling strategy was designed and applied to the Soil-Vegetation-Atmosphere Transfer model Daisy for simulation of crop production and nitrate leaching under pedo-climatic and agronomic environment different than that of model original parameterisation. The points of significance and caution in the strategy are: • Model preparation should include field data in detail due to the high complexity of the soil and the crop processes simulated with process-based model, and should re...

  11. Programação estocástica robusta aplicada ao planejamento agregado de safra em usinas cooperadas do setor sucroenergético Stochastic robust optimization model applied to the aggregate production planning in mill cooperative socities in the sugar-energy sector

    Directory of Open Access Journals (Sweden)

    Rafael Piatti Oiticica de Paiva

    2011-01-01

    Full Text Available Neste trabalho, apresenta-se um modelo de programação estocástica robusta aplicado ao planejamento agregado da produção em usinas cooperadas do setor sucroenergético. Esta modelagem considera a relação hierárquica existente entre o planejamento anual da cooperativa e o planejamento tático de safra das usinas cooperadas, além de contemplar importantes incertezas existentes nos parâmetros de entrada do modelo. Para resolver os problemas de programação linear e programação inteira mista envolvidos, utiliza-se uma linguagem de modelagem algébrica e um software de última geração de programação matemática. Os resultados computacionais obtidos são comparados aos resultados da modelagem determinística PASUC, discutida em Paiva e Morabito (in press, utilizando os mesmos dados do estudo de caso da Usina Santa Clotilde e da Cooperativa Regional dos Produtores de Açúcar e Álcool de Alagoas.This work presents a stochastic robust optimization model applied to the aggregate production planning in mill cooperative societies in the sugar-energy sector This mathematical model is based on a hierarchical relationship between the annual planning of the cooperative and the tactical planning horizon of the sugarcane mills taking into account important uncertainties in several parameters of this model. In order to solve the linear and mixed integer programming problems involved, an optimization modeling language solver was used. Computational results are presented and compared with the deterministic approach PASUC, dicussed by Paiva e Morabito (in press using the same data from the case studies conducted in the Santa Clotilde milling company and in the regional cooperative society of sugar and ethanol producers of Alagoas.

  12. Applying learning theories and instructional design models for effective instruction.

    Science.gov (United States)

    Khalil, Mohammed K; Elkhider, Ihsan A

    2016-06-01

    Faculty members in higher education are involved in many instructional design activities without formal training in learning theories and the science of instruction. Learning theories provide the foundation for the selection of instructional strategies and allow for reliable prediction of their effectiveness. To achieve effective learning outcomes, the science of instruction and instructional design models are used to guide the development of instructional design strategies that elicit appropriate cognitive processes. Here, the major learning theories are discussed and selected examples of instructional design models are explained. The main objective of this article is to present the science of learning and instruction as theoretical evidence for the design and delivery of instructional materials. In addition, this article provides a practical framework for implementing those theories in the classroom and laboratory. PMID:27068989

  13. Applying ecological modeling to parenting for Australian refugee families.

    Science.gov (United States)

    Grant, Julian; Guerin, Pauline B

    2014-10-01

    Children in families with parents from refugee backgrounds are often viewed as a vulnerable group with increased risks of developing physical or psychological problems. However, there is very little research regarding the strategies that parents might use to parent their children in a new country while they also manage the interrelated challenges of poverty, social isolation, maternal stress, and mental ill health that often go along with resettlement. We explore the application of ecological modeling, specifically at individual, institutional, and policy levels, within an Australian context to critique the factors that shape the development of parenting capacity within refugee families settling in a new Western country. Ecological modeling enables examination of how public policy at local state and national levels influences the individual and family directly and through the organizations that are given the task of implementing many of the policy recommendations. Recommendations for health practice and research are made. PMID:24583875

  14. Linear delta expansion applied to the O'Raifeartaigh model

    International Nuclear Information System (INIS)

    We reassess the method of the linear delta expansion for the calculation of effective potentials in superspace, by adopting the improved version of the super-Feynman rules in the framework of the O'Raifeartaigh model for spontaneous supersymmetry breaking. The effective potential is calculated using both the fastest apparent convergence and the principle of minimal sensitivity criteria and the consistency and efficacy of the method are checked in deriving the Coleman-Weinberg potential.

  15. Applying the model of excellence in dental healthcare

    OpenAIRE

    Tekić Jasmina; Majstorović Vidosav D.; Marković Dejan

    2015-01-01

    Introduction. Models of excellence are considered a practical tool in the field of management that should help a variety of organizations, including dental, to carry out the measurement of the quality of provided services, and so define their position in relation to excellence. The quality of healthcare implies the degree within which the system of healthcare and health services increases the likelihood of positive treatment outcome. Objective. The aim of t...

  16. Multi-phase Flow Modeling applied to Metallurgical Processes

    Directory of Open Access Journals (Sweden)

    Stein T. Johansen

    2002-04-01

    Full Text Available Multiphase flow models have been improved significantly during the last two decades. Together with the development of more advanced numerical techniques and faster and cheaper computers we now see that computational fluid dynamics (CFD becomes a powerful tool in predicting the performance of complex industrial processes. In particular the processes faced by the metallurgical industries may serve as examples of such complexity.

  17. Experiences & Tools from Modeling Instruction Applied to Earth Sciences

    Science.gov (United States)

    Cervenec, J.; Landis, C. E.

    2012-12-01

    The Framework for K-12 Science Education calls for stronger curricular connections within the sciences, greater depth in understanding, and tasks higher on Bloom's Taxonomy. Understanding atmospheric sciences draws on core knowledge traditionally taught in physics, chemistry, and in some cases, biology. If this core knowledge is not conceptually sound, well retained, and transferable to new settings, understanding the causes and consequences of climate changes become a task in memorizing seemingly disparate facts to a student. Fortunately, experiences and conceptual tools have been developed and refined in the nationwide network of Physics Modeling and Chemistry Modeling teachers to build necessary understanding of conservation of mass, conservation of energy, particulate nature of matter, kinetic molecular theory, and particle model of light. Context-rich experiences are first introduced for students to construct an understanding of these principles and then conceptual tools are deployed for students to resolve misconceptions and deepen their understanding. Using these experiences and conceptual tools takes an investment of instructional time, teacher training, and in some cases, re-envisioning the format of a science classroom. There are few financial barriers to implementation and students gain a greater understanding of the nature of science by going through successive cycles of investigation and refinement of their thinking. This presentation shows how these experiences and tools could be used in an Earth Science course to support students developing conceptually rich understanding of the atmosphere and connections happening within.

  18. A GOMS model applied to a simplified control panel design

    International Nuclear Information System (INIS)

    The design of the user interface for a new system requires many decisions to be considered. To develop sensitivity to user needs requires understanding user behavior. The how-to-do-it knowledge is a mixture of task-related and interface-related components. A conscientious analysis of these components, allows the designer to construct a model in terms of goals, operators, methods, and selection (GOMS model) rules that can be advantageously used in the design process and evaluation of a user interface. The emphasis of the present work is on describing the importance and use of a GOMS model as a formal user interface analysis tool in the development of a simplified panel for the control of a nuclear power plant. At Pennsylvania State University, a highly automated control system with a greatly simplified human interface has been proposed to improve power plant safety. Supervisory control is to be conducted with a simplified control panel with the following functions: startup, shutdown, increase power, decrease power, reset, and scram. Initial programming of the operator interface has been initiated within the framework of a U.S. Department of Energy funded university project for intelligent distributed control. A hypothesis to be tested is that this scheme can be also used to estimate mental work load content and predict human performance

  19. Statistical modelling applied to the contents of waste drums - 16085

    International Nuclear Information System (INIS)

    Gamma spectrometry is widely used to determine the radioactive content of waste drums. However, the results of such surveys often result in large numbers of limit-of-detection (LOD) results. In this paper we will show how simple statistical methods can be used to obtain useful information on the average drum activities, even in these unfavourable circumstances. Results from measurements on 60Co, 152Eu, 154Eu activities in drums of waste from decommissioning of the GLEEP reactor suggest that these activities are log-normally distributed with geometric standard deviations (GSD) ranging from 3-4. This statistical model can be used to extract information from 235U, 234mPa and 234Th datasets which show only LOD activity results. In a repository of N drums, each with activity < L, the total activity is clearly < NL. However, we can use the lognormal model to make a much stronger statement about the total waste activity. This model is developed quantitatively in the paper. (authors)

  20. Simulation of Road Traffic Applying Model-Driven Engineering

    Directory of Open Access Journals (Sweden)

    Alberto FERNÁNDEZ-ISABEL

    2016-05-01

    Full Text Available Road traffic is an important phenomenon in modern societies. The study of its different aspects in the multiple scenarios where it happens is relevant for a huge number of problems. At the same time, its scale and complexity make it hard to study. Traffic simulations can alleviate these difficulties, simplifying the scenarios to consider and controlling their variables. However, their development also presents difficulties. The main ones come from the need to integrate the way of working of researchers and developers from multiple fields. Model-Driven Engineering (MDE addresses these problems using Modelling Languages (MLs and semi-automatic transformations to organise and describe the development, from requirements to code. This paper presents a domain-specific MDE framework for simulations of road traffic. It comprises an extensible ML, support tools, and development guidelines. The ML adopts an agent-based approach, which is focused on the roles of individuals in road traffic and their decision-making. A case study shows the process to model a traffic theory with the ML, and how to specialise that specification for an existing target platform and its simulations. The results are the basis for comparison with related work.

  1. Mathematical model of gas plasma applied to chronic wounds

    Energy Technology Data Exchange (ETDEWEB)

    Wang, J. G.; Liu, X. Y.; Liu, D. W.; Lu, X. P. [State Key Lab of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, WuHan, HuBei 430074 (China); Zhang, Y. T. [Shandong Provincial Key Lab of UHV Technology and Gas Discharge Physics, School of Electrical Engineering, Shandong University, Jinan, Shandong Province 250061 (China)

    2013-11-15

    Chronic wounds are a major burden for worldwide health care systems, and patients suffer pain and discomfort from this type of wound. Recently gas plasmas have been shown to safely speed chronic wounds healing. In this paper, we develop a deterministic mathematical model formulated by eight-species reaction-diffusion equations, and use it to analyze the plasma treatment process. The model follows spatial and temporal concentration within the wound of oxygen, chemoattractants, capillary sprouts, blood vessels, fibroblasts, extracellular matrix material, nitric oxide (NO), and inflammatory cell. Two effects of plasma, increasing NO concentration and reducing bacteria load, are considered in this model. The plasma treatment decreases the complete healing time from 25 days (normal wound healing) to 17 days, and the contributions of increasing NO concentration and reducing bacteria load are about 1/4 and 3/4, respectively. Increasing plasma treatment frequency from twice to three times per day accelerates healing process. Finally, the response of chronic wounds of different etiologies to treatment with gas plasmas is analyzed.

  2. A SIMULATION OF THE PENICILLIN G PRODUCTION BIOPROCESS APPLYING NEURAL NETWORKS

    Directory of Open Access Journals (Sweden)

    A.J.G. da Cruz

    1997-12-01

    Full Text Available The production of penicillin G by Penicillium chrysogenum IFO 8644 was simulated employing a feedforward neural network with three layers. The neural network training procedure used an algorithm combining two procedures: random search and backpropagation. The results of this approach were very promising, and it was observed that the neural network was able to accurately describe the nonlinear behavior of the process. Besides, the results showed that this technique can be successfully applied to control process algorithms due to its long processing time and its flexibility in the incorporation of new data

  3. Application of a check-all-that-apply question for evaluating and characterizing meat products.

    Science.gov (United States)

    Jorge, Élida da Conceição; Mendes, Andressa Cristina Gaione; Auriema, Bruna Emygdio; Cazedey, Henrique Pereira; Fontes, Paulo Rogério; Ramos, Alcinéia de Lemos Souza; Ramos, Eduardo Mendes

    2015-02-01

    Four different mortadella samples were technologically characterized by physical/chemical and instrumental analyses and were sensorially characterized by acceptance testing and check-all-that-apply (CATA) questions. Samples were divided into three groups by using a principle component analysis (PCA) of the technological characteristics and by using an internal preference map (IPM) of the sensory attributes from the acceptance test. CATA divided these samples into four different external preference map (EPM) groups because each sample was associated with different sensory attributes. The PCA indicated that there was a relationship between the instrumental color and texture analyses and the CATA attributes, whereby identifying the terms that positively or negatively contributed to sample acceptance. The CATA questions effectively discriminated between the meat products regarding their sensory characteristics. In addition, these attributes were linked to chemical and instrumental quality parameters. Thus, the CATA questions are a potential tool for evaluating and developing novel products. PMID:25460115

  4. Modeling Sustainability in Product Development and Commercialization

    Science.gov (United States)

    Carlson, Robert C.; Rafinejad, Dariush

    2008-01-01

    In this article, the authors present the framework of a model that integrates strategic product development decisions with the product's impact on future conditions of resources and the environment. The impact of a product on stocks of nonrenewable sources and sinks is linked in a feedback loop to the cost of manufacturing and using the product…

  5. Selection of productivity improvement techniques via mathematical modeling

    Directory of Open Access Journals (Sweden)

    Mahassan M. Khater

    2011-07-01

    Full Text Available This paper presents a new mathematical model to select an optimal combination of productivity improvement techniques. The proposed model of this paper considers four-stage cycle productivity and the productivity is assumed to be a linear function of fifty four improvement techniques. The proposed model of this paper is implemented for a real-world case study of manufacturing plant. The resulted problem is formulated as a mixed integer programming which can be solved for optimality using traditional methods. The preliminary results of the implementation of the proposed model of this paper indicate that the productivity can be improved through a change on equipments and it can be easily applied for both manufacturing and service industries.

  6. State and parameter estimation based on a nonlinear filter applied to an industrial process control of ethanol production

    Directory of Open Access Journals (Sweden)

    Meleiro L.A.C.

    2000-01-01

    Full Text Available Most advanced computer-aided control applications rely on good dynamics process models. The performance of the control system depends on the accuracy of the model used. Typically, such models are developed by conducting off-line identification experiments on the process. These experiments for identification often result in input-output data with small output signal-to-noise ratio, and using these data results in inaccurate model parameter estimates [1]. In this work, a multivariable adaptive self-tuning controller (STC was developed for a biotechnological process application. Due to the difficulties involving the measurements or the excessive amount of variables normally found in industrial process, it is proposed to develop "soft-sensors" which are based fundamentally on artificial neural networks (ANN. A second approach proposed was set in hybrid models, results of the association of deterministic models (which incorporates the available prior knowledge about the process being modeled with artificial neural networks. In this case, kinetic parameters - which are very hard to be accurately determined in real time industrial plants operation - were obtained using ANN predictions. These methods are especially suitable for the identification of time-varying and nonlinear models. This advanced control strategy was applied to a fermentation process to produce ethyl alcohol (ethanol in industrial scale. The reaction rate considered for substratum consumption, cells and ethanol productions are validated with industrial data for typical operating conditions. The results obtained show that the proposed procedure in this work has a great potential for application.

  7. Forecasting coconut production in the Philippines with ARIMA model

    Science.gov (United States)

    Lim, Cristina Teresa

    2015-02-01

    The study aimed to depict the situation of the coconut industry in the Philippines for the future years applying Autoregressive Integrated Moving Average (ARIMA) method. Data on coconut production, one of the major industrial crops of the country, for the period of 1990 to 2012 were analyzed using time-series methods. Autocorrelation (ACF) and partial autocorrelation functions (PACF) were calculated for the data. Appropriate Box-Jenkins autoregressive moving average model was fitted. Validity of the model was tested using standard statistical techniques. The forecasting power of autoregressive moving average (ARMA) model was used to forecast coconut production for the eight leading years.

  8. Production of charm in the quark-gluon strings model

    International Nuclear Information System (INIS)

    The quark-gluon strings model based on the 1/Nf - expansion in QCD is applied to the production of the charmed particles D(D-bar)-mesons and Λc+-hyperons. It is demonstrated that the model describes quantitatively the basic characteristics of the inclusive charm production generation. Experimental data indicate to the nonlinearity of the Ψ-mesons Regge trajectory with a close to zero intercept (αΨ(0) ∼ 0). The model predictions for the inclusive spectra of the charmed particles are given in a wide energy range

  9. Three-dimensional decomposition models for carbon productivity

    International Nuclear Information System (INIS)

    This paper presents decomposition models for the change in carbon productivity, which is considered a key indicator that reflects the contributions to the control of greenhouse gases. Carbon productivity differential was used to indicate the beginning of decomposition. After integrating the differential equation and designing the Log Mean Divisia Index equations, a three-dimensional absolute decomposition model for carbon productivity was derived. Using this model, the absolute change of carbon productivity was decomposed into a summation of the absolute quantitative influences of each industrial sector, for each influence factor (technological innovation and industrial structure adjustment) in each year. Furthermore, the relative decomposition model was built using a similar process. Finally, these models were applied to demonstrate the decomposition process in China. The decomposition results reveal several important conclusions: (a) technological innovation plays a far more important role than industrial structure adjustment; (b) industry and export trade exhibit great influence; (c) assigning the responsibility for CO2 emission control to local governments, optimizing the structure of exports, and eliminating backward industrial capacity are highly essential to further increase China's carbon productivity. -- Highlights: ► Using the change of carbon productivity to measure a country's contribution. ► Absolute and relative decomposition models for carbon productivity are built. ► The change is decomposed to the quantitative influence of three-dimension. ► Decomposition results can be used for improving a country's carbon productivity.

  10. The effective action approach applied to nuclear chiral sigma model

    International Nuclear Information System (INIS)

    The nuclear chiral sigma model of nuclear matter is considered by means of the Cornwall-Jackiw-tomboulis (CTJ) effective action. The method provides a very general framework for investigating many important problems: chiral symmetry in nuclear medium, energy density of nuclear ground state, nuclear Schwinger-Dyson (SD) equations, etc. It is shown that the SD equations for sigma-omega mixing are actually not present in this formalism. For numerical computation purposes the Hartree-Fock (HF) approximation for ground state energy density is also presented. (author). 26 refs

  11. Order and Disorder in Product Innovation Models

    NARCIS (Netherlands)

    Pina e Cunha, Miguel; Gomes, Jorge F.S.

    2003-01-01

    This article argues that the conceptual development of product innovation models goes hand in hand with paradigmatic changes in the field of organization science. Remarkable similarities in the change of organizational perspectives and product innovation models are noticeable. To illustrate how chan

  12. Modelling Configuration Knowledge in Heterogeneous Product Families

    DEFF Research Database (Denmark)

    Queva, Matthieu Stéphane Benoit; Männistö, Tomi; Ricci, Laurent;

    2011-01-01

    variability in such heterogeneous product families. Our approach is based on a framework that aims to cater for the different stakeholders involved in the modelling and management of the product family. The modelling approach is centred around the concepts of views, types and constraints and is illustrated by...

  13. Photosensitizer nanocarriers modeling for photodynamic therapy applied to dermatological diseases

    Science.gov (United States)

    Salas-García, I.; Fanjul-Vélez, F.; Ortega-Quijano, N.; López-Escobar, M.; Arce-Diego, J. L.

    2011-02-01

    Photodynamic Therapy involves the therapeutic use of photosensitizers in combination with visible light. The subsequent photochemical reactions generate reactive oxygen species which are considered the principal cytotoxic agents to induce cell death. This technique has become widely used in medicine to treat tumors and other nonmalignant diseases. However, there are several factors related to illumination or the photosensitizer that limit an optimal treatment outcome. The use of nanoparticles (NP) for PDT has been proposed as a solution to current shortcomings. In this way, there are NPs that act as carriers for photosensitizers, NPs that absorb the light and transfer the energy to the photosensitizer and NPs that are themselves photodynamically active. In dermatology, the use of topical photosensitizers produces a time dependent inhomogeneous distribution within the tumor, where the stratum corneum is the main barrier to the diffusion of the photosensitizer to the deeper layers of skin. This produces an insufficient photosensitizer accumulation in tumor tissues and therefore, a low therapeutic efficiency in the case of deep lesions. This work focuses in the use of NPs as photosensitizer carriers to improve the actual topical drug distribution in malignant skin tissues. We present a mathematical model of PS distribution in tumor tissue using NPs that takes into account parameters related to nanoparticles binding. Once the concentration profile of NPs into tissue is obtained, we use a photochemical model which allows us to calculate the temporal evolution of reactive oxygen species according to PS distribution calculated previously from NPs profile.

  14. Experimental modelling of fragmentation applied to volcanic explosions

    Science.gov (United States)

    Haug, Øystein Thordén; Galland, Olivier; Gisler, Galen R.

    2013-12-01

    Explosions during volcanic eruptions cause fragmentation of magma and host rock, resulting in fragments with sizes ranging from boulders to fine ash. The products can be described by fragment size distributions (FSD), which commonly follow power laws with exponent D. The processes that lead to power-law distributions and the physical parameters that control D remain unknown. We developed a quantitative experimental procedure to study the physics of the fragmentation process through time. The apparatus consists of a Hele-Shaw cell containing a layer of cohesive silica flour that is fragmented by a rapid injection of pressurized air. The evolving fragmentation of the flour is monitored with a high-speed camera, and the images are analysed to obtain the evolution of the number of fragments (N), their average size (A), and the FSD. Using the results from our image-analysis procedure, we find transient empirical laws for N, A and the exponent D of the power-law FSD as functions of the initial air pressure. We show that our experimental procedure is a promising tool for unravelling the complex physics of fragmentation during phreatomagmatic and phreatic eruptions.

  15. Applying Sewage Sludge to Eucalyptus grandis Plantations: Effects on Biomass Production and Nutrient Cycling through Litterfall

    International Nuclear Information System (INIS)

    In most Brazilian cities sewage sludge is dumped into sanitary landfills, even though its use in forest plantations as a fertilizer and soil conditioner might be an interesting option. Sewage sludge applications might reduce the amounts of mineral fertilizers needed to sustain the productivity on infertile tropical soils. However, sewage sludge must be applied with care to crops to avoid soil and water pollution. The aim of our study was to assess the effects of dry and wet sewage sludges on the growth and nutrient cycling of Eucalyptus grandis plantations established on the most common soil type for Brazilian eucalypt plantations. Biomass production and nutrient cycling were studied over a 36-month period in a complete randomized block design. Four experimental treatments were compared: wet sewage sludge, dry sludge, mineral fertilizer, and no fertilizer applications. The two types of sludges as well as mineral fertilizer increased significantly the biomass of Eucalyptus trees. Wood biomass productions 36 months after planting were similar in the sewage sludge and mineral fertilization treatments (about 80 tons ha-'1) and 86 % higher than in the control treatment. Sewage sludge application also affected positively leaf litter production and significantly increased nutrient transfer among the components of the ecosystem.

  16. 75 FR 47592 - Final Test Guideline; Product Performance of Skin-applied Insect Repellents of Insect and Other...

    Science.gov (United States)

    2010-08-06

    ..., 2007 (72 FR 32647) (FRL-8135-9), of national experts in which the revisions made in June 2006, were... AGENCY Final Test Guideline; Product Performance of Skin-applied Insect Repellents of Insect and Other... Product Performance of Skin-applied Insect Repellents of Insect and Other Arthropods Test...

  17. Modeling European ruminant production systems

    NARCIS (Netherlands)

    Kipling, Richard P.; Bannink, André; Bellocchi, Gianni; Dalgaard, Tommy; Fox, Naomi J.; Hutchings, Nicholas J.; Kjeldsen, Chris; Lacetera, Nicola; Sinabell, Franz; Topp, Cairistiona F.E.; Oijen, van Marcel; Virkajärvi, Perttu; Scollan, Nigel D.

    2016-01-01

    Ruminant production systems are important producers of food, support rural communities and culture, and help to maintain a range of ecosystem services including the sequestering of carbon in grassland soils. However, these systems also contribute significantly to climate change through greenhouse

  18. A General Framework for Modeling Production

    OpenAIRE

    Steven T. Hackman; Robert C. Leachman

    1989-01-01

    We introduce a general framework that guides the management scientist's formulation of deterministic models of production processes. Using the framework, we reformulate the constraints of familiar linear programming-based planning models to specifically treat components of production lead time, thereby realizing a more accurate representation of the production process. In addition, the reformulation accommodates noninteger values for lead times as well as unequal-length planning periods. Manu...

  19. Mathematical Modeling Applied to Prediction of Landslides in Southern Brazil

    Science.gov (United States)

    Silva, Lúcia; Araújo, João; Braga, Beatriz; Fernandes, Nelson

    2013-04-01

    Mass movements are natural phenomena that occur on the slopes and are important agents working in landscape development. These movements have caused serious damage to infrastructure and properties. In addition to the mass movements occurring in natural slopes, there is also a large number of accidents induced by human action in the landscape. The change of use and land cover for the introduction of agriculture is a good example that have affected the stability of slopes. Land use and/or land cover changes have direct and indirect effects on slope stability and frequently represent a major factor controlling the occurrence of man-induced mass movements. In Brazil, especially in the southern and southeastern regions, areas of original natural rain forest have been continuously replaced by agriculture during the last decades, leading to important modifications in soil mechanical properties and to major changes in hillslope hydrology. In these regions, such effects are amplified due to the steep hilly topography, intense summer rainfall events and dense urbanization. In November 2008, a major landslide event took place in a rural area with intensive agriculture in the state of Santa Catarina (Morro do Baú) where many catastrophic landslides were triggered after a long rainy period. In this area, the natural forest has been replaced by huge banana and pine plantations. The state of Santa Catarina in recent decades has been the scene of several incidents of mass movements such as this catastrophic event. In this study, based on field mapping and modeling, we characterize the role played by geomorphological and geological factors in controlling the spatial distribution of landslides in the Morro do Baú area. In order to attain such objective, a digital elevation model of the basin was generated with a 10m grid in which the topographic parameters were obtained. The spatial distribution of the scars from this major event was mapped from another image, obtained immediately

  20. Applying a Hybrid MCDM Model for Six Sigma Project Selection

    Directory of Open Access Journals (Sweden)

    Fu-Kwun Wang

    2014-01-01

    Full Text Available Six Sigma is a project-driven methodology; the projects that provide the maximum financial benefits and other impacts to the organization must be prioritized. Project selection (PS is a type of multiple criteria decision making (MCDM problem. In this study, we present a hybrid MCDM model combining the decision-making trial and evaluation laboratory (DEMATEL technique, analytic network process (ANP, and the VIKOR method to evaluate and improve Six Sigma projects for reducing performance gaps in each criterion and dimension. We consider the film printing industry of Taiwan as an empirical case. The results show that our study not only can use the best project selection, but can also be used to analyze the gaps between existing performance values and aspiration levels for improving the gaps in each dimension and criterion based on the influential network relation map.

  1. Electrostatic Model Applied to ISS Charged Water Droplet Experiment

    Science.gov (United States)

    Stevenson, Daan; Schaub, Hanspeter; Pettit, Donald R.

    2015-01-01

    The electrostatic force can be used to create novel relative motion between charged bodies if it can be isolated from the stronger gravitational and dissipative forces. Recently, Coulomb orbital motion was demonstrated on the International Space Station by releasing charged water droplets in the vicinity of a charged knitting needle. In this investigation, the Multi-Sphere Method, an electrostatic model developed to study active spacecraft position control by Coulomb charging, is used to simulate the complex orbital motion of the droplets. When atmospheric drag is introduced, the simulated motion closely mimics that seen in the video footage of the experiment. The electrostatic force's inverse dependency on separation distance near the center of the needle lends itself to analytic predictions of the radial motion.

  2. Virtual building environments (VBE) - Applying information modeling to buildings

    Energy Technology Data Exchange (ETDEWEB)

    Bazjanac, Vladimir

    2004-06-21

    A Virtual Building Environment (VBE) is a ''place'' where building industry project staffs can get help in creating Building Information Models (BIM) and in the use of virtual buildings. It consists of a group of industry software that is operated by industry experts who are also experts in the use of that software. The purpose of a VBE is to facilitate expert use of appropriate software applications in conjunction with each other to efficiently support multidisciplinary work. This paper defines BIM and virtual buildings, and describes VBE objectives, set-up and characteristics of operation. It informs about the VBE Initiative and the benefits from a couple of early VBE projects.

  3. On the combined gravity gradient modeling for applied geophysics

    CERN Document Server

    Veryaskin, Alexey

    2007-01-01

    Gravity gradiometry research and development has intensified in recent years to the extent that technologies providing a resolution of about 1 Eotvos per 1 sec average shall likely soon be available for multiple critical applications such as natural resources exploration, oil reservoir monitoring and defence establishment. Much of the content of this paper was composed a decade ago, and only minor modifications were required for the conclusions to be just as applicable today. In this paper we demonstrate how gravity gradient data can be modeled, and show some examples of how gravity gradient data can be combined in order to extract valuable information. In particular, this study demonstrates the importance of two gravity gradient components, Txz and Tyz which, when processed together, can provide more information on subsurface density contrasts than that derived solely from the vertical gravity gradient (Tzz).

  4. Reliability Measures of Second-Order Semi-Markov Chain Applied to Wind Energy Production

    Directory of Open Access Journals (Sweden)

    Guglielmo D'Amico

    2013-01-01

    Full Text Available We consider the problem of wind energy production by using a second-order semi-Markov chain in state and duration as a model of wind speed. The model used in this paper is based on our previous work where we have shown the ability of second-order semi-Markov process in reproducing statistical features of wind speed. Here we briefly present the mathematical model and describe the data and technical characteristics of a commercial wind turbine (Aircon HAWT-10 kW. We show how, by using our model, it is possible to compute some of the main dependability measures such as reliability, availability, and maintainability functions. We compare, by means of Monte Carlo simulations, the results of the model with real energy production obtained from data available in the Lastem station (Italy and sampled every 10 minutes. The computation of the dependability measures is a crucial point in the planning and development of a wind farm. Through our model, we show how the values of this quantity can be obtained both analytically and computationally.

  5. MULTIVARIATE TECHNIQUES APPLIED TO EVALUATION OF LIGNOCELLULOSIC RESIDUES FOR BIOENERGY PRODUCTION

    Directory of Open Access Journals (Sweden)

    Thiago de Paula Protásio

    2013-12-01

    Full Text Available http://dx.doi.org/10.5902/1980509812361The evaluation of lignocellulosic wastes for bioenergy production demands to consider several characteristicsand properties that may be correlated. This fact demands the use of various multivariate analysis techniquesthat allow the evaluation of relevant energetic factors. This work aimed to apply cluster analysis and principalcomponents analyses for the selection and evaluation of lignocellulosic wastes for bioenergy production.8 types of residual biomass were used, whose the elemental components (C, H, O, N, S content, lignin, totalextractives and ashes contents, basic density and higher and lower heating values were determined. Bothmultivariate techniques applied for evaluation and selection of lignocellulosic wastes were efficient andsimilarities were observed between the biomass groups formed by them. Through the interpretation of thefirst principal component obtained, it was possible to create a global development index for the evaluationof the viability of energetic uses of biomass. The interpretation of the second principal component alloweda contrast between nitrogen and sulfur contents with oxygen content.

  6. Safe production model for small mines

    Institute of Scientific and Technical Information of China (English)

    Calizaya F.; Suryanto S.

    2008-01-01

    Presented a "safe production model" that can be adopted by small mine opera-tors to achieve their production targets safely and efficiently. The model consists of eightelements ranging from management commitment and leadership to safety account-abilityand communication. The model is developed considering the mine operators' resourcelimitations and the workers' training needs. The study concludes with a summary of asample survey that is conducted to validate the model and estimate a parameter for eachmine and determine its position in the safe production scale.

  7. Production economic models of fisheries

    DEFF Research Database (Denmark)

    Andersen, Jesper Levring

    fishermen’s behaviour are analysed. In Paper 2, technical efficiency and reasons for inefficiency are estimated using the Stochastic Production Frontier Approach. The results suggest that the level of technical efficiency is not influenced by the choice of revenue or weight as the output measure. Also, it...... considers how to include fish stocks in efficiency analyses. The biological developments are important in relation to fisheries, because fish stocks are one of the primary components in the production process. It is worthwhile to evaluate whether different methods of including fish stocks give rise to...... different conclusions. Three methods are investigated as possible ways to include fish stocks. The first method is based on catch data, while the two other methods are based on independent stock measures. It is shown that estimations based on the former give different results from the ones based on the...

  8. Applying Dispersive Changes to Lagrangian Particles in Groundwater Transport Models

    Science.gov (United States)

    Konikow, L.F.

    2010-01-01

    Method-of-characteristics groundwater transport models require that changes in concentrations computed within an Eulerian framework to account for dispersion be transferred to moving particles used to simulate advective transport. A new algorithm was developed to accomplish this transfer between nodal values and advecting particles more precisely and realistically compared to currently used methods. The new method scales the changes and adjustments of particle concentrations relative to limiting bounds of concentration values determined from the population of adjacent nodal values. The method precludes unrealistic undershoot or overshoot for concentrations of individual particles. In the new method, if dispersion causes cell concentrations to decrease during a time step, those particles in the cell having the highest concentration will decrease the most, and those with the lowest concentration will decrease the least. The converse is true if dispersion is causing concentrations to increase. Furthermore, if the initial concentration on a particle is outside the range of the adjacent nodal values, it will automatically be adjusted in the direction of the acceptable range of values. The new method is inherently mass conservative. ?? US Government 2010.

  9. Atomistic Method Applied to Computational Modeling of Surface Alloys

    Science.gov (United States)

    Bozzolo, Guillermo H.; Abel, Phillip B.

    2000-01-01

    The formation of surface alloys is a growing research field that, in terms of the surface structure of multicomponent systems, defines the frontier both for experimental and theoretical techniques. Because of the impact that the formation of surface alloys has on surface properties, researchers need reliable methods to predict new surface alloys and to help interpret unknown structures. The structure of surface alloys and when, and even if, they form are largely unpredictable from the known properties of the participating elements. No unified theory or model to date can infer surface alloy structures from the constituents properties or their bulk alloy characteristics. In spite of these severe limitations, a growing catalogue of such systems has been developed during the last decade, and only recently are global theories being advanced to fully understand the phenomenon. None of the methods used in other areas of surface science can properly model even the already known cases. Aware of these limitations, the Computational Materials Group at the NASA Glenn Research Center at Lewis Field has developed a useful, computationally economical, and physically sound methodology to enable the systematic study of surface alloy formation in metals. This tool has been tested successfully on several known systems for which hard experimental evidence exists and has been used to predict ternary surface alloy formation (results to be published: Garces, J.E.; Bozzolo, G.; and Mosca, H.: Atomistic Modeling of Pd/Cu(100) Surface Alloy Formation. Surf. Sci., 2000 (in press); Mosca, H.; Garces J.E.; and Bozzolo, G.: Surface Ternary Alloys of (Cu,Au)/Ni(110). (Accepted for publication in Surf. Sci., 2000.); and Garces, J.E.; Bozzolo, G.; Mosca, H.; and Abel, P.: A New Approach for Atomistic Modeling of Pd/Cu(110) Surface Alloy Formation. (Submitted to Appl. Surf. Sci.)). Ternary alloy formation is a field yet to be fully explored experimentally. The computational tool, which is based on

  10. A spectrophotometric model applied to cluster galaxies: the WINGS dataset

    CERN Document Server

    Fritz, J; Bettoni, D; Cava, A; Couch, W J; D'Onofrio, M; Dressler, A; Fasano, G; Kjaergaard, P; Moles, M; Varela, J

    2007-01-01

    [Abridged] The WIde-field Nearby Galaxy-cluster Survey (WINGS) is a project aiming at the study of the galaxy populations in clusters in the local universe (0.04model is the possibility of treating dust extinction as a function of age, allowing younger stars to be more obscured than older ones. Our technique, for the first time, takes into account this feature in a spectral fitting code. A set of template spectra spanning a wide range of star formation histories is built, with features closely resembling those of typical spectra in our sample in terms of spectral resolution, noise and wavelength coverage. Our method of analyzing these spectra allows us to test the reliability and the uncertainties related to each physical parameter we are inferring. The well-known degeneracy problem, i.e. the non-uniqu...

  11. Advanced Mathematical Model to Describe the Production of Biodiesel Process

    Directory of Open Access Journals (Sweden)

    Hikmat S. Al-Salim

    2009-12-01

    Full Text Available Advanced mathematical model was used to capture the batch reactor characteristics of reacting compounds. The model was applied to batch reactor for the production of bio-diesel from palm and kapok oils. Results of the model were compared with experimental data in terms of conversion of transesterification reaction for the production of bio-diesel under unsteady state. A good agreement was obtained between our model predictions and the experimental data. Both experimental and modeling results showed that the conversion of triglycerides to methyl ester was affected by the process conditions. The transesterification process with temperature of about 70 oC, and methanol ratio to the triglyceride of about 5 times its stoichiometry, and the NAOH catalyst of wt 0.4%, appear to be acceptable process conditions for bio diesel process production from palm oil and kapok oil. The model can be applied for endothermic batch process. © 2009 BCREC UNDIP. All rights reserved[Received: 12 August 2009, Revised: 15 October 2009; Accepted: 18 October 2009][How to Cite: A.S. Ibrehem, H. S. Al-Salim. (2009. Advanced Mathematical Model to Describe the Production of Biodiesel Process. Bulletin of Chemical Reaction Engineering and Catalysis, 4(2: 37-42. doi:10.9767/bcrec.4.2.28.37-42][How to Link/DOI: http://dx.doi.org/10.9767/bcrec.4.2.28.37-42

  12. Minimization of Heat Energy Intensity in Food Production Companies Applying Sustainable Industrial Development Methods

    Directory of Open Access Journals (Sweden)

    Irina Kliopova

    2011-10-01

    Full Text Available Lithuanian food and drink sector of industry is characterized by high energy intensity, which is 29% higher than the EU average. At the confectionary plant chosen for the experiment, an environmental impact has been controlled and its maximum managed by creating different procedures to reduce pollution. Assessment of the plant's environmental costs has revealed that the energy costs amount to main part of the environmental ones (up to 55.4%. In recent years several energy efficiency projects have been implemented allowing minimizing the plant's energy intensity up to 15%. An algorithm of feasibility analysis of increasing thermal energy efficiency of the plant was suggested which could also be applied to other food industry plants. Demand for heat energy within the plant was evaluated for each technological process; the fuel and energy balance of the plant boiler-house was drawn up. It was revealed that huge heat energy losses were made during heat energy production and usage. During the research period a control system of significant environmental aspects was suggested, its objective function was estimated. Several environmental alternatives were suggested for optimization of the heat energy production processes. Three projects were chosen for the feasibility analysis. Results of technical, economic and environmental evaluations of Cleaner Production (CP innovations as well as conclusions made are presented in this article.

  13. Development of simple-to-apply biogas kinetic models for the co-digestion of food waste and maize husk.

    Science.gov (United States)

    Owamah, H I; Izinyon, O C

    2015-10-01

    Biogas kinetic models are often used to characterize substrate degradation and prediction of biogas production potential. Most of these existing models are however difficult to apply to substrates they were not developed for since their applications are usually substrate specific. Biodegradability kinetic (BIK) model and maximum biogas production potential and stability assessment (MBPPSA) model were therefore developed in this study for better understanding of the anaerobic co-digestion of food waste and maize husk for biogas production. Biodegradability constant (k) was estimated as 0.11 d(-1) using the BIK model. The results of maximum biogas production potential (A) obtained using the MBPPSA model were found to be in good correspondence, both in value and trend with the results obtained using the popular but complex modified Gompertz model for digesters B-1, B-2, B-3, B-4, and B-5. The (If) value of MBPPSA model also showed that digesters B-3, B-4, and B-5 were stable, while B-1 and B-2 were inhibited/unstable. Similar stability observation was also obtained using the modified Gompertz model. The MBPPSA model can therefore be used as an alternative model for anaerobic digestion feasibility studies and plant design. PMID:26188550

  14. A physiological production model for cacao : results of model simulations

    OpenAIRE

    Zuidema, P.A.; Leffelaar, P. A.

    2002-01-01

    CASE2 is a physiological model for cocoa (Theobroma cacao L.) growth and yield. This report introduces the CAcao Simulation Engine for water-limited production in a non-technical way and presents simulation results obtained with the model.

  15. One dimensional averaged (K-ε) turbulence model applied to channel, pipe and rod bundle flows

    International Nuclear Information System (INIS)

    Full text of publication follows: In order to calculate accurately the flows that can occur in the wide and complex geometry of nuclear reactor, using reasonable means that do not calculate every part of the whole circuit with 3D thin meshes, one possible way is to use simultaneously several numerical tools dedicated to the different parts of the circuit. As an example, the lower plenum could be calculated with 3D CFD tool while rod bundle part could be calculated with porous 3D code and pipes could be calculated with one dimensional code. This approach requires the coupling and the consistency of all these tools. As part of this project, work is in progress to develop a one dimensional averaged (k-ε) turbulence model that is coherent with the standard 3D (k-ε) model. This consistency is required to consider the one-way or two-way coupling between 1D and 3D calculations. The development of a turbulence model suitable for both pipe and charged medium such as rod bundles requires a porous media formulation for the equations governing the turbulent flow. The volume-averaging theory (VAT) is thus applied to the standard (k-ε) turbulence model equations. It gives a new system of equations for the transport of the volumetric averaged turbulence kinetic energy and its dissipation rate. Those new equations are different from the original ones; they involve additional terms which come from the averaging process for porous model and that correspond to internal production/dissipation mechanisms. Currently, there is no general well-developed closure expression for these additional terms, even if Nakayama et al. proposed a closure method for the one appearing in the averaged (k-ε) transport equations in the case of regular morphologies. These unknown terms due to the porous matrix are modeled collectively by these authors in order to obtain correlations adapted to classical porous media. Following these ideas, we propose here a closure expression adapted to channel, pipe

  16. Advanced model structures applied to system identification of a servo- hydraulic test rig

    Directory of Open Access Journals (Sweden)

    P. Czop

    2010-07-01

    Full Text Available Purpose: This paper deals with a method for the parametric system identification of a nonlinear system to obtain its parametric representation using a linear transfer function. Such representation is applicable in off-line profile correction methods minimizing the error between a reference input signal and a signal performed by the test rig. In turn, a test signal can be perfectly tracked by a servo-hydraulic test rig. This is the requirement in massive production where short test sequences are repeated to validate the products.Design/methodology/approach: A numerical and experimental case studies are presented in the paper. The numerical study presents a system identification process of a nonlinear system consisting of a linear transfer function and a nonlinear output component, being a static function. The experimental study presents a system identification process of a nonlinear system which is a servo-hydraulic test rig. The simulation data has been used to illustrate the feasibility study of the proposed approach, while the experimental data have been used to validate advanced model structures under operational conditions.Findings: The advanced model structures confirmed their better performance by means of the model fit in the time domain.Research limitations/implications: The method applies to analysis of such mechanical and hydraulic systems for which measurements are corrupted by residual harmonic disturbances resulting from system nonlinearities.Practical implications: The advanced model structures are intended to be used as inverse models in off-line signal profile correction.Originality/value: The results state the foundation for the off-line parametric error cancellation method which aims in improving tracking of load signals on servo-hydraulic test rigs.

  17. Multiphoton production at high energies in the Standard Model, 1

    CERN Document Server

    Mahlon, G

    1993-01-01

    We examine multiphoton production in the electroweak sector of the Standard Model in the high energy limit using the equivalence theorem in combination with spinor helicity techniques. We obtain recursion relations for currents consisting of a charged scalar, spinor, or vector line that radiates $n$ photons. Closed form solutions to these recursion relations for arbitrary $n$ are presented for the cases of like-helicity and one unlike-helicity photon production. We apply the currents singly and in pairs to obtain amplitudes for processes involving the production of $n$ photons with up to two unlike helicities from a pair of charged particles. The replacement of one or more photons by transversely polarized

  18. Identification of profitable areas to apply product configuration systems in Engineering-To-Order companies

    DEFF Research Database (Denmark)

    Kristjansdottir, Katrin; Hvam, Lars; Shafiee, Sara;

    2015-01-01

    This article suggests a systematic framework for identifying potential areas, where Engineering-To-Order (ETO) companies may increase their profit-ability by implementing a Product Configuration System (PCS). In order to do so a three-step framework is proposed based on literature. The starting...... point is to conduct a profitability analysis to determine the accuracy of the cost estima-tions, and based on that the reason for the deviations across different projects is found. The next step is to generate the scope for different scenarios that aim to improve the current situation. Finally, it is...... suggested to make a cost-benefit analysis for different scenarios to determine where a PCS can provide the most benefits. This article is supplemented with a case study from an ETO company where potential areas for using PCS were found by applying the suggested framework....

  19. Entropy correlation distance method applied to study correlations between the Gross Domestic Product of rich countries

    CERN Document Server

    Ausloos, Marcel

    2009-01-01

    The Theil index is much used in economy and finance; it looks like the Shannon entropy, but pertains to event values rather than to their probabilities. Any time series can be remapped through the Theil index. Correlation coefficients can be evaluated between the new time series, thereby allowing to study their mutual statistical distance, - to be contrasted to the usual correlation distance measure for the primary time series. As an example this entropy-like correlation distance method (ECDM) is applied to the Gross Domestic Product of 20 rich countries in order to test some economy globalization process. Hierarchical distances allow to construct (i) a linear network, (ii) a Locally Minimal Spanning Tree. The role of time averaging in finite size windows is illustrated and discussed. It is also shown that the mean distance between the most developed countries, was decreasing since 1960 till 2000, - which we consider to be a proof of globalization of the economy for these countries.

  20. Potentially synbiotic product based on Andean blackberry (Rubus glaucus by applying vacuum impregnation

    Directory of Open Access Journals (Sweden)

    Rodríguez-Barona, Sneyder

    2012-12-01

    Full Text Available The aim of this study was to develop a product potentially symbiotic by applying vacuum impregnating over Andean blackberry slices immersed in three solutions: a solution of fructooligosaccharides (FOS, natural blackberry juice, and a mixture of fruit juice and solution of FOS, inoculated with Lactobacillus casei ATCC 393 with 109 UCF/mL. The blackberry slices impregnated with the mixture of fruit juice and FOS, and with just the FOS solution, they were found to contain 108 UCF/g and over 0.0022 g of FOS per 100g of impregnated sample after being stored for 72 hours under refrigeration conditions. The results indicate that the presence of FOS in the impregnation solution increases the viability of the microorganisms and it can be concluded that it is feasible to obtain a potentially symbiotic food from Andean blackberry by means of the impregnation of its porous matrix with beneficial microorganisms and prebiotic substances.

  1. Costs Models in Design and Manufacturing of Sand Casting Products

    CERN Document Server

    Perry, Nicolas; Bernard, Alain

    2010-01-01

    In the early phases of the product life cycle, the costs controls became a major decision tool in the competitiveness of the companies due to the world competition. After defining the problems related to this control difficulties, we will present an approach using a concept of cost entity related to the design and realization activities of the product. We will try to apply this approach to the fields of the sand casting foundry. This work will highlight the enterprise modelling difficulties (limits of a global cost modelling) and some specifics limitations of the tool used for this development. Finally we will discuss on the limits of a generic approach.

  2. Model Proposition for the Fiscal Policies Analysis Applied in Economic Field

    Directory of Open Access Journals (Sweden)

    Larisa Preda

    2007-05-01

    Full Text Available This paper presents a study about fiscal policy applied in economic development. Correlations between macroeconomics and fiscal indicators signify the first steep in our analysis. Next step is a new model proposal for the fiscal and budgetary choices. This model is applied on the date of the Romanian case.

  3. Applying consequential LCA to support energy policy: Land use change effects of bioenergy production

    Energy Technology Data Exchange (ETDEWEB)

    Vázquez-Rowe, Ian, E-mail: ian.vazquez@tudor.lu; Marvuglia, Antonino; Rege, Sameer; Benetto, Enrico

    2014-02-01

    Luxembourg aims at complying with the EU objective of attaining a 14% use of bioenergy in the national grid by 2020. The increase of biomethane production from energy crops could be a valuable option in achieving this objective. However, the overall environmental benefit of such option is yet to be proven. Consequential Life Cycle Assessment (CLCA) has shown to be a useful tool to evaluate the environmental suitability of future energy scenarios and policies. The objective of this study was, therefore, to evaluate the environmental consequences of modifying the Luxembourgish agricultural system to increase maize production for biomethane generation. A total of 10 different scenarios were modelled using a partial equilibrium (PE) model to identify changes in land cultivation based on farmers' revenue maximisation, which were then compared to the baseline scenario, i.e. the state of the agricultural sector in 2009. The results were divided into three different consequential decision contexts, presenting differing patterns in terms of land use changes (LUCs) but with minor shifts in environmental impacts. Nevertheless, energy from maize production would imply substantially higher environmental impacts when compared with the current use of natural gas, mainly due to increases in climate change and agricultural land occupation impacts. The results are discussed based on the consequences they may generate on the bioenergy policy, the management of arable land, the changes in import–export flows in Luxembourg and LUCs in the domestic agricultural system. In addition, the specific PE + LCA method presented intends to be of use for other regional studies in which a high level of site-specific data is available. - Highlights: • Partial equilibrium (PE) model created for the agricultural sector in Luxembourg • PE model combined with a consequential LCA approach to support energy policy • The impact of LUCs due to the additional production of maize for energy was

  4. Applying consequential LCA to support energy policy: Land use change effects of bioenergy production

    International Nuclear Information System (INIS)

    Luxembourg aims at complying with the EU objective of attaining a 14% use of bioenergy in the national grid by 2020. The increase of biomethane production from energy crops could be a valuable option in achieving this objective. However, the overall environmental benefit of such option is yet to be proven. Consequential Life Cycle Assessment (CLCA) has shown to be a useful tool to evaluate the environmental suitability of future energy scenarios and policies. The objective of this study was, therefore, to evaluate the environmental consequences of modifying the Luxembourgish agricultural system to increase maize production for biomethane generation. A total of 10 different scenarios were modelled using a partial equilibrium (PE) model to identify changes in land cultivation based on farmers' revenue maximisation, which were then compared to the baseline scenario, i.e. the state of the agricultural sector in 2009. The results were divided into three different consequential decision contexts, presenting differing patterns in terms of land use changes (LUCs) but with minor shifts in environmental impacts. Nevertheless, energy from maize production would imply substantially higher environmental impacts when compared with the current use of natural gas, mainly due to increases in climate change and agricultural land occupation impacts. The results are discussed based on the consequences they may generate on the bioenergy policy, the management of arable land, the changes in import–export flows in Luxembourg and LUCs in the domestic agricultural system. In addition, the specific PE + LCA method presented intends to be of use for other regional studies in which a high level of site-specific data is available. - Highlights: • Partial equilibrium (PE) model created for the agricultural sector in Luxembourg • PE model combined with a consequential LCA approach to support energy policy • The impact of LUCs due to the additional production of maize for energy was

  5. Hybrid simulation models of production networks

    CERN Document Server

    Kouikoglou, Vassilis S

    2001-01-01

    This book is concerned with a most important area of industrial production, that of analysis and optimization of production lines and networks using discrete-event models and simulation. The book introduces a novel approach that combines analytic models and discrete-event simulation. Unlike conventional piece-by-piece simulation, this method observes a reduced number of events between which the evolution of the system is tracked analytically. Using this hybrid approach, several models are developed for the analysis of production lines and networks. The hybrid approach combines speed and accuracy for exceptional analysis of most practical situations. A number of optimization problems, involving buffer design, workforce planning, and production control, are solved through the use of hybrid models.

  6. Framework for product knowledge and product related knowledge which supports product modelling for mass customization

    DEFF Research Database (Denmark)

    Riis, Jesper; Hansen, Benjamin Loer; Hvam, Lars

    2003-01-01

    The article presents a framework for product knowledge and product related knowledge which can be used to support the product modelling process which is needed for developing IT systems. These IT systems are important tools for many companies when they aim at achieving mass customization and...... personalization. The framework for product knowledge and product related knowledge is based on the following theories: axiomatic design, technical systems, theory of domains, theory of structuring, theory of properties and the framework for the content of product and product related models. The framework is built...... on experience from product modelling projects in several companies. Among them for example companies manufacturing electronic switchboards, spray dryer systems and air conditioning equipment. The framework is divided into three views: the product knowledge view, the life phase system view and the...

  7. Modeling oil production based on symbolic regression

    International Nuclear Information System (INIS)

    Numerous models have been proposed to forecast the future trends of oil production and almost all of them are based on some predefined assumptions with various uncertainties. In this study, we propose a novel data-driven approach that uses symbolic regression to model oil production. We validate our approach on both synthetic and real data, and the results prove that symbolic regression could effectively identify the true models beneath the oil production data and also make reliable predictions. Symbolic regression indicates that world oil production will peak in 2021, which broadly agrees with other techniques used by researchers. Our results also show that the rate of decline after the peak is almost half the rate of increase before the peak, and it takes nearly 12 years to drop 4% from the peak. These predictions are more optimistic than those in several other reports, and the smoother decline will provide the world, especially the developing countries, with more time to orchestrate mitigation plans. -- Highlights: •A data-driven approach has been shown to be effective at modeling the oil production. •The Hubbert model could be discovered automatically from data. •The peak of world oil production is predicted to appear in 2021. •The decline rate after peak is half of the increase rate before peak. •Oil production projected to decline 4% post-peak

  8. Model based sustainable production of biomethane

    OpenAIRE

    Biernacki, Piotr

    2014-01-01

    The main intention of this dissertation was to evaluate sustainable production of biomethane with use of mathematical modelling. To achieve this goal, widely acknowledged models like Anaerobic Digestion Model No.1 (ADM1), describing anaerobic digestion, and electrolyte Non-Random Two Liquid Model (eNRTL), for gas purification, were utilized. The experimental results, batch anaerobic digestion of different substrates and carbon dioxide solubility in 2-(Ethylamino)ethanol, were used to determin...

  9. Modeling Fission Product Sorption in Graphite Structures

    Energy Technology Data Exchange (ETDEWEB)

    Szlufarska, Izabela [University of Wisconsin, Madison, WI (United States); Morgan, Dane [University of Wisconsin, Madison, WI (United States); Allen, Todd [University of Wisconsin, Madison, WI (United States)

    2013-04-08

    The goal of this project is to determine changes in adsorption and desorption of fission products to/from nuclear-grade graphite in response to a changing chemical environment. First, the project team will employ principle calculations and thermodynamic analysis to predict stability of fission products on graphite in the presence of structural defects commonly observed in very high- temperature reactor (VHTR) graphites. Desorption rates will be determined as a function of partial pressure of oxygen and iodine, relative humidity, and temperature. They will then carry out experimental characterization to determine the statistical distribution of structural features. This structural information will yield distributions of binding sites to be used as an input for a sorption model. Sorption isotherms calculated under this project will contribute to understanding of the physical bases of the source terms that are used in higher-level codes that model fission product transport and retention in graphite. The project will include the following tasks: Perform structural characterization of the VHTR graphite to determine crystallographic phases, defect structures and their distribution, volume fraction of coke, and amount of sp2 versus sp3 bonding. This information will be used as guidance for ab initio modeling and as input for sorptivity models; Perform ab initio calculations of binding energies to determine stability of fission products on the different sorption sites present in nuclear graphite microstructures. The project will use density functional theory (DFT) methods to calculate binding energies in vacuum and in oxidizing environments. The team will also calculate stability of iodine complexes with fission products on graphite sorption sites; Model graphite sorption isotherms to quantify concentration of fission products in graphite. The binding energies will be combined with a Langmuir isotherm statistical model to predict the sorbed concentration of fission

  10. Error-free pathology: applying lean production methods to anatomic pathology.

    Science.gov (United States)

    Condel, Jennifer L; Sharbaugh, David T; Raab, Stephen S

    2004-12-01

    The current state of our health care system calls for dramatic changes. In their pathology department, the authors believe these changes may be accomplished by accepting the long-term commitment of applying a lean production system. The ideal state of zero pathology errors is one that should be pursued by consistently asking, "Why can't we?" The philosophy of lean production systems began in the manufacturing industry: "All we are doing is looking at the time from the moment the customer gives us an order to the point when we collect the cash. And we are reducing that time line by removing non-value added wastes". The ultimate goals in pathology and overall health care are not so different. The authors' intention is to provide the patient (customer) with the most accurate diagnostic information in a timely and efficient manner. Their lead histotechnologist recently summarized this philosophy: she indicated that she felt she could sleep better at night knowing she truly did the best job she could. Her chances of making an error (in cutting or labeling) were dramatically decreased in the one-by-one continuous flow work process compared with previous practices. By designing a system that enables employees to be successful in meeting customer demand, and by empowering the frontline staff in the development and problem solving processes, one can meet the challenges of eliminating waste and build an improved, efficient system. PMID:15555747

  11. Applying Catastrophe Theory to an Information-Processing Model of Problem Solving in Science Education

    Science.gov (United States)

    Stamovlasis, Dimitrios; Tsaparlis, Georgios

    2012-01-01

    In this study, we test an information-processing model (IPM) of problem solving in science education, namely the working memory overload model, by applying catastrophe theory. Changes in students' achievement were modeled as discontinuities within a cusp catastrophe model, where working memory capacity was implemented as asymmetry and the degree…

  12. Fuzzy clustering applied to a demand response model in a smart grid contingency scenario

    OpenAIRE

    Pereira, Rita; Fagundes, Andre; Melicio, Rui; Mendes, Victor,; Figueiredo, Joao; Martins, Joao; Quadrado, Jose

    2014-01-01

    This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.

  13. Alternative Supply Chain Production-Sales Policies for New Product Diffusion: An Agent-Based Modeling and Simulation Approach

    OpenAIRE

    Amini, Mehdi; Wakolbinger, Tina; Racer, Michael; Nejad, Mohammed G.

    2012-01-01

    Applying Agent-Based Modeling and Simulation (ABMS) methodology, this paper analyzes the impact of alternative production-sales policies on the diffusion of a new product and the generated NPV of profit. The key features of the ABMS model, that captures the marketplace as a complex adaptive system, are: (i) supply chain capacity is constrained; (ii) consumers' new product adoption decisions are influenced by marketing activities as well as positive and negative word of mouth (W...

  14. Particle production beyond the thermal model

    Science.gov (United States)

    Wolschin, Georg

    2016-07-01

    The sources of particle production in relativistic heavy-ion collisions are investigated from RHIC to LHC energies. Whereas charged-hadron production in the fragmentation sources follows a ln(sNN/s0) law, particle production in the mid-rapidity low-x gluon-gluon source exhibits a much stronger dependence ∝ ln3(sNN/s0), and becomes dominant between RHIC and LHC energies. The equilibration of the three sources is investigated in a relativistic diffusion model (RDM). It agrees with the thermal model only for t → ∞.

  15. Particle production beyond the thermal model

    Directory of Open Access Journals (Sweden)

    Wolschin Georg

    2016-01-01

    Full Text Available The sources of particle production in relativistic heavy-ion collisions are investigated from RHIC to LHC energies. Whereas charged-hadron production in the fragmentation sources follows a ln(sNN/s0 law, particle production in the mid-rapidity low-x gluon-gluon source exhibits a much stronger dependence ∝ ln3(sNN/s0, and becomes dominant between RHIC and LHC energies. The equilibration of the three sources is investigated in a relativistic diffusion model (RDM. It agrees with the thermal model only for t → ∞.

  16. 30 CFR 206.112 - What adjustments and transportation allowances apply when I value oil production from my lease...

    Science.gov (United States)

    2010-07-01

    ... 206.112 Mineral Resources MINERALS MANAGEMENT SERVICE, DEPARTMENT OF THE INTERIOR MINERALS REVENUE MANAGEMENT PRODUCT VALUATION Federal Oil § 206.112 What adjustments and transportation allowances apply...

  17. Structuring the modeling space and supporting evolution in software product line engineering

    OpenAIRE

    Dhungana, Deepak; Grunbacher, Paul; Rabiser, Rick; Neumayer, Thomas

    2010-01-01

    peer-reviewed The scale and complexity of product lines means that it is practically infeasible to develop a single model of the entire system, regardless of the languages or notations used. The dynamic nature of real-world systems means that product line models need to evolve continuously to meet new customer requirements and to reflect changes of product line artifacts. To address these challenges, product line engineers need to apply different strategies for structuring the modeling spa...

  18. Methodology for Applying Cyber Security Risk Evaluation from BN Model to PSA Model

    Energy Technology Data Exchange (ETDEWEB)

    Shin, Jin Soo; Heo, Gyun Young [Kyung Hee University, Youngin (Korea, Republic of); Kang, Hyun Gook [KAIST, Dajeon (Korea, Republic of); Son, Han Seong [Joongbu University, Chubu (Korea, Republic of)

    2014-08-15

    There are several advantages to use digital equipment such as cost, convenience, and availability. It is inevitable to use the digital I and C equipment replaced analog. Nuclear facilities have already started applying the digital system to I and C system. However, the nuclear facilities also have to change I and C system even though it is difficult to use digital equipment due to high level of safety, irradiation embrittlement, and cyber security. A cyber security which is one of important concerns to use digital equipment can affect the whole integrity of nuclear facilities. For instance, cyber-attack occurred to nuclear facilities such as the SQL slammer worm, stuxnet, DUQU, and flame. The regulatory authorities have published many regulatory requirement documents such as U.S. NRC Regulatory Guide 5.71, 1.152, IAEA guide NSS-17, IEEE Standard, and KINS Regulatory Guide. One of the important problem of cyber security research for nuclear facilities is difficulty to obtain the data through the penetration experiments. Therefore, we make cyber security risk evaluation model with Bayesian network (BN) for nuclear reactor protection system (RPS), which is one of the safety-critical systems to trip the reactor when the accident is happened to the facilities. BN can be used for overcoming these problems. We propose a method to apply BN cyber security model to probabilistic safety assessment (PSA) model, which had been used for safety assessment of system, structure and components of facility. The proposed method will be able to provide the insight of safety as well as cyber risk to the facility.

  19. Methodology for Applying Cyber Security Risk Evaluation from BN Model to PSA Model

    International Nuclear Information System (INIS)

    There are several advantages to use digital equipment such as cost, convenience, and availability. It is inevitable to use the digital I and C equipment replaced analog. Nuclear facilities have already started applying the digital system to I and C system. However, the nuclear facilities also have to change I and C system even though it is difficult to use digital equipment due to high level of safety, irradiation embrittlement, and cyber security. A cyber security which is one of important concerns to use digital equipment can affect the whole integrity of nuclear facilities. For instance, cyber-attack occurred to nuclear facilities such as the SQL slammer worm, stuxnet, DUQU, and flame. The regulatory authorities have published many regulatory requirement documents such as U.S. NRC Regulatory Guide 5.71, 1.152, IAEA guide NSS-17, IEEE Standard, and KINS Regulatory Guide. One of the important problem of cyber security research for nuclear facilities is difficulty to obtain the data through the penetration experiments. Therefore, we make cyber security risk evaluation model with Bayesian network (BN) for nuclear reactor protection system (RPS), which is one of the safety-critical systems to trip the reactor when the accident is happened to the facilities. BN can be used for overcoming these problems. We propose a method to apply BN cyber security model to probabilistic safety assessment (PSA) model, which had been used for safety assessment of system, structure and components of facility. The proposed method will be able to provide the insight of safety as well as cyber risk to the facility

  20. Gluon dominance model and cluster production

    CERN Document Server

    Kokoulina, E; Nikitin, V; Kokoulina, Elena; Kutov, Andrey; Nikitin, Vladimir

    2007-01-01

    Gluon dominance model (GDM) studies multiparticle production in lepton and hadron processes. It is based on the QCD and phenomenological scheme of hadronization. The model describes well multiplicity distributions and their moments. It has revealed an active role of gluons in multiparticle production, it also has confirmed the fragmentation mechanism of hadronization in e+e- annihilation and its change to recombination mechanism in hadron and nucleus interactions. The GDM explains the shoulder structure of multiplicity distributions. The agreement with Au+Au peripheral collisions data for hadron-pion ratio has been also obtained with this model. Development of GDM allows one to research the multiplicity behavior of ppbar annihilation at tens of GeV. The mechanism of soft photons production and estimates of their emission region have been offered. The experimental data (project "Thermalization", U-70, IHEP) have confirmed a cluster nature of multiparticle production.

  1. Applying a Hybrid QFD-TOPSIS Method to Design Product in the Industry (Case Study in Sum Service Company

    Directory of Open Access Journals (Sweden)

    Babak Haji Karimi

    2012-09-01

    Full Text Available Electronics industry as an industry with high added value and television production industry especially as one of its pillars play an important role in the economy of each country. Therefore, the aim study of this paper is to illustrate how, using a combined QFD-TOPSIS model, organizations are able to their design product in accordance with requirements of consumers with a case study in Sum Service Company. Quality Function Deployment (QFD is one such extremely important quality management tool that is useful in product design and development. Traditionally, QFD rates the Design Requirements (DRs with respect to customer needs and aggregates the rating to get relative importance score of DRs. An increasing number of studies emphasize on the need to incorporate additional factors, such as cost and environmental impact, while calculating the relative importance of DRs. However, there is variety of methodologies for driving the relative importance of DRs, when several additional factors are considered. TOPSIS (technique for order preferences by similarity to ideal solution is suggested for the purpose of the research. This research proposes new approach of TOPSIS for considering the rating of DRs with respect to CRs and several additional factors simultaneously. Proposed method is illustrated using by step-by-step procedure. The proposed fuzzy QFDTOPSIS methodology was applied for the Sum Service Company in Iran.

  2. Applying a Markov approach as a Lean Thinking analysis of waste elimination in a Rice Production Process

    Directory of Open Access Journals (Sweden)

    Eldon Glen Caldwell Marin

    2015-01-01

    Full Text Available The Markov Chains Model was proposed to analyze stochastic events when recursive cycles occur; for example, when rework in a continuous flow production affects the overall performance. Typically, the analysis of rework and scrap is done through a wasted material cost perspective and not from the perspective of waste capacity that reduces throughput and economic value added (EVA. Also, we can not find many cases of this application in agro-industrial production in Latin America, given the complexity of the calculations and the need for robust applications. This scientific work presents the results of a quasi-experimental research approach in order to explain how to apply DOE methods and Markov analysis in a rice production process located in Central America, evaluating the global effects of a single reduction in rework and scrap in a part of the whole line. The results show that in this case it is possible to evaluate benefits from Global Throughput and EVA perspective and not only from the saving costs perspective, finding a relationship between operational indicators and corporate performance. However, it was found that it is necessary to analyze the markov chains configuration with many rework points, also it is still relevant to take into account the effects on takt time and not only scrap´s costs.

  3. Modelling Fungal Fermentations for Enzyme Production

    DEFF Research Database (Denmark)

    Albæk, Mads Orla; Gernaey, Krist; Hansen, Morten S.;

    We have developed a process model of fungal fed-batch fermentations for enzyme production. In these processes, oxygen transfer rate is limiting and controls the substrate feeding rate. The model has been shown to describe cultivations of both Aspergillus oryzae and Trichoderma reesei strains in 550...

  4. A procedure for Building Product Models

    DEFF Research Database (Denmark)

    Hvam, Lars

    1999-01-01

    activities. A basic assumption is that engineers have to take the responsability for building product models to be used in their domain. To do that they must be able to carry out the modeling task on their own without any need for support from computer science experts. This paper presents a set of simple...

  5. Applying consequential LCA to support energy policy: land use change effects of bioenergy production.

    Science.gov (United States)

    Vázquez-Rowe, Ian; Marvuglia, Antonino; Rege, Sameer; Benetto, Enrico

    2014-02-15

    Luxembourg aims at complying with the EU objective of attaining a 14% use of bioenergy in the national grid by 2020. The increase of biomethane production from energy crops could be a valuable option in achieving this objective. However, the overall environmental benefit of such option is yet to be proven. Consequential Life Cycle Assessment (CLCA) has shown to be a useful tool to evaluate the environmental suitability of future energy scenarios and policies. The objective of this study was, therefore, to evaluate the environmental consequences of modifying the Luxembourgish agricultural system to increase maize production for biomethane generation. A total of 10 different scenarios were modelled using a partial equilibrium (PE) model to identify changes in land cultivation based on farmers' revenue maximisation, which were then compared to the baseline scenario, i.e. the state of the agricultural sector in 2009. The results were divided into three different consequential decision contexts, presenting differing patterns in terms of land use changes (LUCs) but with minor shifts in environmental impacts. Nevertheless, energy from maize production would imply substantially higher environmental impacts when compared with the current use of natural gas, mainly due to increases in climate change and agricultural land occupation impacts. The results are discussed based on the consequences they may generate on the bioenergy policy, the management of arable land, the changes in import-export flows in Luxembourg and LUCs in the domestic agricultural system. In addition, the specific PE+LCA method presented intends to be of use for other regional studies in which a high level of site-specific data is available. PMID:24291133

  6. Oxygen production System Models for Lunar ISRU

    Science.gov (United States)

    Santiago-Maldonado, Edgardo

    2007-01-01

    In-Situ Resource Utilization (ISRU) seeks to make human space exploration feasible; by using available resources from a planet or the moon to produce consumables, parts, and structures that otherwise would be brought from Earth. Producing these in situ reduces the mass of such that must be launched and doing so allows more payload mass' for each mission. The production of oxygen from lunar regolith, for life support and propellant, is one of the tasks being studied under ISRU. NASA is currently funding three processes that have shown technical merit for the production of oxygen from regolith: Molten Salt Electrolysis, Hydrogen Reduction of Ilmenite, and Carbothermal Reduction. The ISRU program is currently developing system models of, the , abovementioned processes to: (1) help NASA in the evaluation process to select the most cost-effective and efficient process for further prototype development, (2) identify key parameters, (3) optimize the oxygen production process, (4) provide estimates on energy and power requirements, mass and volume.of the system, oxygen production rate, mass of regolith required, mass of consumables, and other important parameters, and (5) integrate into the overall end-to-end ISRU system model, which could be integrated with mission architecture models. The oxygen production system model is divided into modules that represent unit operations (e.g., reactor, water electrolyzer, heat exchanger). Each module is modeled theoretically using Excel and Visual Basic for Applications (VBA), and will be validated using experimental data from on-going laboratory work. This modularity (plug-n-play) feature of each unit operation allows the use of the same model on different oxygen production systems simulations resulting in comparable results. In this presentation, preliminary results for mass, power, volume will be presented along with brief description of the oxygen production system model.

  7. Evolution of Gross Domestic Product - Analysis Models

    OpenAIRE

    Constantin ANGHELACHE; Catalin DEATCU; Daniel DUMITRESCU; Adina Mihaela DINU

    2013-01-01

    This paper describes a use case for macro economical models, the objective being the structural analysis of the Gross Domestic Product. The authors first introduce the theoretical foundation of the model, then offer a snapshot on GDP evolution. The econometric models proposed for analysis are designed with the help of EViews software and their performance and reliability are described through the optics of the statistical tests.

  8. Asymptotic laws for disparity statistics in product multinomial models

    Czech Academy of Sciences Publication Activity Database

    Morales, D.; Pardo, L.; Vajda, Igor

    2003-01-01

    Roč. 85, č. 3 (2003), s. 335-360. ISSN 0047-259X R&D Projects: GA AV ČR IAA1075101 Grant ostatní: BMF(ES) 2000-0800 Institutional research plan: CEZ:AV0Z1075907 Keywords : Goodness-of-fit testing * product multinomial models * disparity statistics Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.320, year: 2003

  9. Global sensitivity analysis applied to drying models for one or a population of granules

    DEFF Research Database (Denmark)

    Mortier, Severine Therese F. C.; Gernaey, Krist; Thomas, De Beer;

    2014-01-01

    The development of mechanistic models for pharmaceutical processes is of increasing importance due to a noticeable shift toward continuous production in the industry. Sensitivity analysis is a powerful tool during the model building process. A global sensitivity analysis (GSA), exploring sensitiv......The development of mechanistic models for pharmaceutical processes is of increasing importance due to a noticeable shift toward continuous production in the industry. Sensitivity analysis is a powerful tool during the model building process. A global sensitivity analysis (GSA), exploring...

  10. Making Faces - State-Space Models Applied to Multi-Modal Signal Processing

    DEFF Research Database (Denmark)

    Lehn-Schiøler, Tue

    2005-01-01

    The two main focus areas of this thesis are State-Space Models and multi modal signal processing. The general State-Space Model is investigated and an addition to the class of sequential sampling methods is proposed. This new algorithm is denoted as the Parzen Particle Filter. Furthermore, the...... optimizer can be applied to speed up convergence. The linear version of the State-Space Model, the Kalman Filter, is applied to multi modal signal processing. It is demonstrated how a State-Space Model can be used to map from speech to lip movements. Besides the State-Space Model and the multi modal...

  11. A PRODUCTIVITY EVALUATION MODEL BASED ON INPUT AND OUTPUT ORIENTATIONS

    Directory of Open Access Journals (Sweden)

    C.O. Anyaeche

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: Many productivity models evaluate either the input or the output performances using standalone techniques. This sometimes gives divergent views of the same system’s results. The work reported in this article, which simultaneously evaluated productivity from both orientations, was applied on real life data. The results showed losses in productivity (–2% and price recovery (–8% for the outputs; the inputs showed productivity gain (145% but price recovery loss (–63%. These imply losses in product performances but a productivity gain in inputs. The loss in the price recovery of inputs indicates a problem in the pricing policy. This model is applicable in product diversification.

    AFRIKAANSE OPSOMMING: Die meeste produktiwiteitsmodelle evalueer of die inset- of die uitsetverrigting deur gebruik te maak van geïsoleerde tegnieke. Dit lei soms tot uiteenlopende perspektiewe van dieselfde sisteem se verrigting. Hierdie artikel evalueer verrigting uit beide perspektiewe en gebruik ware data. Die resultate toon ‘n afname in produktiwiteit (-2% en prysherwinning (-8% vir die uitsette. Die insette toon ‘n toename in produktiwiteit (145%, maar ‘n afname in prysherwinning (-63%. Dit impliseer ‘n afname in produkverrigting, maar ‘n produktiwiteitstoename in insette. Die afname in die prysherwinning van insette dui op ‘n problem in die prysvasstellingbeleid. Hierdie model is geskik vir produkdiversifikasie.

  12. The ZEW combined microsimulation-CGE model : innovative tool for applied policy analysis

    OpenAIRE

    Clauss, Markus; Schubert, Stefanie

    2009-01-01

    This contribution describes the linkage of microsimulation models and computable general equilibrium (CGE) models using two already established models called "STSM" and "PACE-L" used by the Centre for European Economic Research. This state of the art research method for applied policy analysis combines the advantages of both model types: On the one hand, microsimulation models allow for detailed labor supply and distributional effects due to policy measures, as individual household data is us...

  13. Agro-ecological aspects when applying the remaining products from agricultural biogas processes as fertilizer in crop production

    Energy Technology Data Exchange (ETDEWEB)

    Bermejo Dominguez, Gabriela

    2012-06-11

    With the increase of biogas production in recent years, the amount of digestates or the remaining residues increased accordingly. Every year in Germany more than 50 million tons of digestates are produced, which are used as fertilizer. Thus nutrients return into the circulation of agricultural ecosystems. However, the agro-ecological effects have not been deeply researched until now. For this reason, the following parameters were quantified: the influence of dry and liquid fermentation products on the yield of three selected crops in comparison to or in combination with mineral-N-fertilizers in on-farm experiments; the growth, development and yield of two selected crops in comparison to mineral-N-fertilizer, liquid manure and farmyard manure in a randomized complete block design; selected soil organisms as compared to mineral-N-fertilizer, liquid manure and farmyard manure in a randomized complete block design. In addition, the mineralization of dry and wet digestates in comparison with liquid manure and farmyard manure was investigated in order to evaluate the effects of different fertilizers on the humus formation under controlled conditions. The 2-year results of on-farm experiments showed that for a sandy soil, the combination of digestates in autumn and mineral-N-fertilizer in spring for winter crops (wheat, rye and rape) brought the highest yields. The wet digestate achieved the highest dry-matter yield as the only fertilizer for maize in spring. In a clayey soil, the use of 150 kg ha{sup -1} N mineral-N-fertilizer brought the highest grain yield. These results were similar to the ones obtained by the application of dry digestates, if they were applied in two doses. Maize showed no signif-icant differences between the dry-matter yields of the different treatments. The results in the field experiments from 2009 to 2011 showed that the effect of digestates on the yield of winter wheat and Sorghum sudanense was up to 15 % lower than the effect of the mineral

  14. "Analyze, Acquire, Apply, and Write" as a New Learning Model in Science

    Science.gov (United States)

    Choe, Jeong V.

    2015-01-01

    I have developed a new teaching and learning model called AAAW, which stand for Analyze, Acquire, Apply and Write. This model grows from action research and unique experience in teaching a biochemistry course to high school students who are talented in math and science. In this model, students first "Analyze" lab data to generate…

  15. Applied Railway Optimization in Production Planning at DSB-S-tog - Tasks, Tools and Challenges

    DEFF Research Database (Denmark)

    Clausen, Jens

    2007-01-01

    customers, and has concurrently been met with demands for higher efficiency in the daily operation. The plans of timetable, rolling stock and crew must hence allow for a high level of customer service, be efficient, and be robust against disturbances of operations. It is a highly non-trivial task to meet...... scheduling. In addition we describe on-going efforts in using mathematical models in activities such as timetable design and work-force planning. We also identify some organizatorial key factors, which have paved the way for extended use of optimization methods in railway production planning....... these conflicting goals. S-tog has therefore on the strategic level decided to use software with optimization capabilities in the planning processes. We describe the current status for each activity using optimization or simulation as a tool: Timetable evaluation, rolling stock planning, and crew...

  16. Applied genomics in ruminants-new discoveries and model for predictive medicine

    Science.gov (United States)

    An overview of the progress for Dr. Sonstegard’s work in applied genomics in dairy cattle will be presented. The overview will include how applied research in livestock offers unique investigative models to discover gene function as a result of genetic load or inbreeding and also how genome selectio...

  17. Production scheduling model in aluminium foundry:

    OpenAIRE

    Lovrić, Tadija; Majdandžić, Niko; Matičević, Gordana

    2008-01-01

    There are numerous methods and strategies for production management which are successfully implemented in the metal industry and in the automobile and machine tools industry in particular. However, little research has been published regarding scheduling foundry operations. Therefore, the main goal ofthis paper is to develop a new mathematical model for scheduling foundry operations based on the MRP II (Manufacturing Resource Planning), JIT (Just inTime) and OPT (Optimized Production Technolog...

  18. Clinical Productivity System - A Decision Support Model

    CERN Document Server

    Bennett, Casey C

    2012-01-01

    Purpose: This goal of this study was to evaluate the effects of a data-driven clinical productivity system that leverages Electronic Health Record (EHR) data to provide productivity decision support functionality in a real-world clinical setting. The system was implemented for a large behavioral health care provider seeing over 75,000 distinct clients a year. Design/methodology/approach: The key metric in this system is a "VPU", which simultaneously optimizes multiple aspects of clinical care. The resulting mathematical value of clinical productivity was hypothesized to tightly link the organization's performance to its expectations and, through transparency and decision support tools at the clinician level, affect significant changes in productivity, quality, and consistency relative to traditional models of clinical productivity. Findings: In only 3 months, every single variable integrated into the VPU system showed significant improvement, including a 30% rise in revenue, 10% rise in clinical percentage, a...

  19. Product modelling in the seafood industry

    DEFF Research Database (Denmark)

    Jonsdottir, Stella; Vesterager, Johan

    1997-01-01

    The paper addresses the aspects of Concurrent Engineering (CE) as a means to obtain integrated product development in the seafood industry. It is assumed that the future New Product Development (NPD) in seafood industry companies will shift from being retailer driven and reactive to be more company...... assessments, speed up the process and ensure a constant renewal of the seafood products. The objective, therefore, is to estimate the suitability of the CE, and especially CE through product modelling, in the seafood industry as a means to obtain an integration of the entire chain, i.e., a business and market...... driven and proactive to comply with the increasing competition, in such a way that the fish processor issues new products covering both the current and especially latent future consumer demands. This implies a need for new systematic approaches in the NPD as procedures and tools, which integrate...

  20. Applying different quality and safety models in healthcare improvement work: Boundary objects and system thinking

    International Nuclear Information System (INIS)

    A number of theoretical models can be applied to help guide quality improvement and patient safety interventions in hospitals. However there are often significant differences between such models and, therefore, their potential contribution when applied in diverse contexts. The aim of this paper is to explore how two such models have been applied by hospitals to improve quality and safety. We describe and compare the models: (1) The Organizing for Quality (OQ) model, and (2) the Design for Integrated Safety Culture (DISC) model. We analyze the theoretical foundations of the models, and show, by using a retrospective comparative case study approach from two European hospitals, how these models have been applied to improve quality and safety. The analysis shows that differences appear in the theoretical foundations, practical approaches and applications of the models. Nevertheless, the case studies indicate that the choice between the OQ and DISC models is of less importance for guiding the practice of quality and safety improvement work, as they are both systemic and share some important characteristics. The main contribution of the models lay in their role as boundary objects directing attention towards organizational and systems thinking, culture, and collaboration

  1. STEP - Product Model Data Sharing and Exchange

    DEFF Research Database (Denmark)

    Kroszynski, Uri

    1998-01-01

    During the last fifteen years, a very large effort to standardize the product models employed in product design, manufacturing and other life-cycle phases has been undertaken. This effort has the acronym STEP, and resulted in the International Standard ISO-10303 "Industrial Automation Systems...... - Product Data Representation and Exchange", featuring at present some 30 released parts, and growing continuously. Many of the parts are Application Protocols (AP). This article presents an overview of STEP, based upon years of involvement in three ESPRIT projects, which contributed to the development of...

  2. Conceptual Modelling of Complex Production Systems

    Directory of Open Access Journals (Sweden)

    Nenad Perši

    2008-12-01

    Full Text Available Complex system dynamics, structure and behaviour performances call for a wide range of methods, algorithms and tools to reach a model capable of finding optimal performing parameters. In the modelling process, it is up to the analyst to select the appropriate combination of methods, algorithms and tools to express significant system performances. Such a methodology for designing complex systems should be based upon conceptual modelling to perform a sensitive analysis of different system levels and views, allowing system representations for developing computer models.Complex systems, such as business systems with a continuous-discrete production process, require a well organised supply chain highly reactive to production assortment changes. Aligning two different production components distinctive in their behaviour is especially delicate at the production parameters transition point. Such system performances require distinctive designing methods that can follow the double nature of the production process behaviour in accordance with their entities dynamics caused by assortment changes. Consequently, such systems need different conceptual presentations for their purpose to be realized from different views and aspects.

  3. Ex-vessel fission product release modeling

    International Nuclear Information System (INIS)

    Release of fission products from core debris after reactor vessel failure is of interest in current severe accident source term research. This paper focuses on significant physical phenomena, requirements, and feedbacks in the context of integrated accident analysis for modeling these releases after initial corium distribution outside the vessel. There are many assumptions made in integrated accident analyses to which ex-vessel fission product release is sensitive. One assumption internal to the release model, the allowed species list, has been demonstrated to significantly affect release of strontium and lanthanum

  4. An integrated production, inventory and preventive maintenance model for a multi-product production system

    International Nuclear Information System (INIS)

    This paper considers a production system that can produce multiple products alternately. Products go through the system in a sequence and a complete run of all products forms a production cycle. An integrated production, inventory and preventive maintenance model is constructed, which is characterized by the delay-time concept. Two different situations are studied based on whether the unqualified products and downtime caused by the failures of the system, set-up and preventive maintenance can be ignored or not. Three cases are considered for each situation, depending on the position of the preventive maintenance epochs: the first case, where preventive maintenance is carried out at the end of each production cycle; the second case, where preventive maintenance is carried out at each set-up time of the products; and the third case, where preventive maintenance is carried out at some set-up times only, since it may not always be optimal to carry out preventive maintenance at the end of the production cycle or at each set-up time. The modeling objectives are to find the optimal number of production cycles per year and the optimal position of preventive maintenance that will maximize the expected profit per unit time. Numerical examples, using real data, are presented to illustrate the model. - Highlights: • We propose an integrated economic production quantity and preventive maintenance model. • The situation that multiple products are produced on the same system alternately is studied. • Two situations are studied based on whether the downtime and the product quality can be ignored or not. • We use enumeration method and analytical method to select the optimal preventive maintenance policy, respectively. • We use the delay-time concept to model the preventive maintenance policy

  5. Monitoring and Modeling Farmland Productivity Along the Venice Coastland, Italy

    DEFF Research Database (Denmark)

    Manoli, G.; Bonetti, S.; Scudiero, E.;

    2013-01-01

    The southern portion of the Venice coastland is a very precarious environment and salt contamination of land and groundwater is a severe problem that is seriously impacting the farmland productivity. Geophysical surveys, lab testing and continuous monitoring of hydrological parameters together wi...... model is linked to the atmosphere by the calculation of the stomatal conductance which is optimized for maximum carbon gain. The model is applied to the field site to understand the impact of land elevation, soil heterogeneities, and seawater contamination on land productivity.......The southern portion of the Venice coastland is a very precarious environment and salt contamination of land and groundwater is a severe problem that is seriously impacting the farmland productivity. Geophysical surveys, lab testing and continuous monitoring of hydrological parameters together with...

  6. Chitosan and Its Derivatives Applied in Harvesting Microalgae for Biodiesel Production: An Outlook

    OpenAIRE

    Guanyi Chen; Liu Zhao; Yun Qi; Yuan-Lu Cui

    2014-01-01

    Although oil-accumulating microalgae are a promising feedstock for biodiesel production, large-scale biodiesel production is not yet economically feasible. As harvesting accounts for an important part of total production cost, mass production of microalgae biodiesel requires an efficient low-energy harvesting strategy so as to make biodiesel production economically attractive. Chitosan has emerged as a favorable flocculating agent in harvesting of microalgae. The aim of this paper is to revie...

  7. Design Automation Systems for Production Preparation : Applied on the Rotary Draw Bending Process

    OpenAIRE

    Johansson, Joel

    2008-01-01

    Intensive competition on the global market puts great pressure on manufacturing companies to develop and produce products that meet requirements from customers and investors. One key factor in meeting these requirements is the efficiency of the product development and the production preparation process. Design automation is a powerful tool to increase efficiency in these two processes. The benefits of automating the production preparation process are shortened led-time, improved product perfo...

  8. Advanced Mathematical Model to Describe the Production of Biodiesel Process

    Directory of Open Access Journals (Sweden)

    Ahmmed S. Ibrehem

    2009-12-01

    Full Text Available Advanced mathematical model was used to capture the batch reactor characteristics of reacting compounds. The model was applied to batch reactor for the production of bio-diesel from palm and kapok oils. Results of the model were compared with experimental data in terms of conversion of transesterification reaction for the production of bio-diesel under unsteady state. A good agreement was obtained between our model predictions and the experimental data. Both experimental and modeling results showed that the conversion of triglycerides to methyl ester was affected by the process conditions. The transesterification process with temperature of about 70 oC, and methanol ratio to the triglyceride of about 5 times its stoichiometry, and the NAOH catalyst of wt 0.4%, appear to be acceptable process conditions for bio diesel process production from palm oil and kapok oil. The model can be applied for endothermic batch process. © 2009 BCREC UNDIP. All rights reserved[Received: 12 August 2009, Revised: 15 October 2009; Accepted: 18 October 2009][How to Cite: A.S. Ibrehem, H. S. Al-Salim. (2009. Advanced Mathematical Model to Describe the Production of Biodiesel Process. Bulletin of Chemical Reaction Engineering and Catalysis, 4(2: 37-42.  doi:10.9767/bcrec.4.2.7109.37-42][How to Link/DOI: http://dx.doi.org/10.9767/bcrec.4.2.7109.37-42 || or local:  http://ejournal.undip.ac.id/index.php/bcrec/article/view/7109 ] 

  9. A Production Model for Construction: A Theoretical Framework

    Directory of Open Access Journals (Sweden)

    Ricardo Antunes

    2015-03-01

    Full Text Available The building construction industry faces challenges, such as increasing project complexity and scope requirements, but shorter deadlines. Additionally, economic uncertainty and rising business competition with a subsequent decrease in profit margins for the industry demands the development of new approaches to construction management. However, the building construction sector relies on practices based on intuition and experience, overlooking the dynamics of its production system. Furthermore, researchers maintain that the construction industry has no history of the application of mathematical approaches to model and manage production. Much work has been carried out on how manufacturing practices apply to construction projects, mostly lean principles. Nevertheless, there has been little research to understand the fundamental mechanisms of production in construction. This study develops an in-depth literature review to examine the existing knowledge about production models and their characteristics in order to establish a foundation for dynamic production systems management in construction. As a result, a theoretical framework is proposed, which will be instrumental in the future development of mathematical production models aimed at predicting the performance and behaviour of dynamic project-based systems in construction.

  10. Automated estimation of the truncation of room impulse response by applying a nonlinear decay model.

    Science.gov (United States)

    Janković, Marko; Ćirić, Dejan G; Pantić, Aleksandar

    2016-03-01

    Noise represents one of the most significant disturbances in measured room impulse responses (RIRs), and it has a potentially large impact on evaluation of the decay parameters. In order to reduce noise effects, various methods have been applied, including truncation of an RIR. In this paper, a procedure for the response truncation based on a model of RIR (nonlinear decay model) is presented. The model is represented by an exponential decay plus stationary noise. Unknown parameters of the model are calculated by an optimization that minimizes the difference between the curve generated by the model and the target one of the response to be truncated. Different curves can be applied in the optimization-absolute value of the RIR, logarithmic decay curve, and Schroeder curve obtained by the backward integration of the RIR. The proposed procedure is tested on various synthesized and measured impulse responses. It is compared with the procedure taken from the literature, often applied in practice. PMID:27036242

  11. Applying Social Psychological Models to Predicting HIV-Related Sexual Risk Behaviors Among African Americans

    OpenAIRE

    Cochran, Susan D.; MAYS, VICKIE M.

    1993-01-01

    Existing models of attitude-behavior relationships, including the Health Belief Model, the Theory of Reasoned Action, and the Self-Efficacy Theory, are increasingly being used by psychologists to predict human immunodeficiency virus (HIV)-related risk behaviors. The authors briefly highlight some of the difficulties that might arise in applying these models to predicting the risk behaviors of African Americans. These social psychological models tend to emphasize the importance of individualis...

  12. Procurement model for copper and polymer electrical products

    Directory of Open Access Journals (Sweden)

    S. Sremac

    2013-10-01

    Full Text Available Procurement model for copper and polymer electrical products. Electrical cable structure (wire, insulation, filling and mantle is in accordance with the technical specifications of individual cable components in terms of the incorporated materials. Materials used in cable manufacture are copper, aluminum, rubber and polyvinyl chloride. One of the key issues in managing the flow of goods pertains to the timing of procurement. The combination of the two concepts can take advantage of individual strengths of fuzzy logic and neural networks in hybrid systems of homogeneous structure. The model has high practical significance, as, with minor modifications, it can be applied in any enterprise responsible for managing the goods flows.

  13. Space weather products at the Community Coordinated Modeling Center

    Science.gov (United States)

    Hesse, Michael

    In addition to supporting space research in the international community, the Community Co-ordinated Modeling Center (CCMC) has as its second objective to bring to apply the power of modern research models toward space weather specification and forecasting. Initially motivated by the objective to test models and to ease the transition of research models to space weather forecasting organization, the CCMC has developed a number of real-time modeling systems, as well as large number of modeling and data products for space weather forecasting. Over time, these activities have evolved into tailored products for partners, as well as into a direct support of the space weather needs within NASA robotic mission community. Accessible through a customizable interface, users within the US or at partnering institutions internationally have access to space weather tools driven by the most advanced space research models. Through partnering with agencies and institutions in the US and abroad, the CCMC strives to set up further data sharing agreements to the benefit of all participating institutions. In this presen-tation, we provide an overview of existing CCMC space weather services and products, and we will explore additional avenues for international collaborations.

  14. Product modelling: '20 years of stalemate'?

    DEFF Research Database (Denmark)

    Galle, Per

    1998-01-01

    In a recent special issue of Design Studies Michael Ramscar, John Lee, and Helen Pain level a severe criticism against a field of research known as product modeling; a criticism that would be rather damaging if it were based on cogent arguments. I shall argue in this paper that it is not....

  15. Sensor Management for Applied Research Technologies (SMART) On Demand Modeling (ODM) Project

    Science.gov (United States)

    Conover, H.; Berthiau, G.; Blakeslee, R.; Botts, M.; Goodman, M.; Hood, R.; Jedlovec, G.; Li, X.; Lu, J.; Maskey, M.

    2007-12-01

    On-demand data processing and analysis of Earth science observations will facilitate timely decision making that can lead to the realization of the practical benefits of satellite instruments, airborne and surface remote sensing systems. However, a significant challenge exists in accessing and integrating data from multiple sensors or platforms to address Earth science problems because of the large data volumes, varying sensor scan characteristics, unique orbital coverage, and the steep learning curve associated with each sensor, data type and associated products. The development of sensor web capabilities to autonomously process these data streams (whether real-time or archived) provides an opportunity to overcome these obstacles and facilitate the integration and synthesis of Earth science data and weather model output. The authors will present initial results from Sensor Management for Applied Research Technologies (SMART) On Demand Modeling (ODM). This NASA- funded project is developing and demonstrating the readiness of Open Geospatial Consortium Sensor Web Enablement (SWE) capabilities that integrate both Earth observations and forecast model output into new data acquisition and assimilation strategies. First year accomplishments include development of numerous Sensor Observation Services (SOS) and an SOS registry for sensor data discovery and access, as well as a prototype user application, built on these services, for validating cloud types as observed by multiple instruments. The three-year goal of this project is to demonstration how SWE-enabled systems can have practical and efficient uses in the Earth science community for enhanced data set generation, real-time data assimilation with operational applications, and for autonomous sensor tasking for unique data collection.

  16. Design, product structuring and modelling of mechatronic products and systems

    DEFF Research Database (Denmark)

    Conrad, Finn; Sørensen, Torben

    2003-01-01

    Information Technology offers software and hardware for improvement of the engineering design, structuring and control systems, and industrial applications. The latest progress in IT makes integration of an overall design and manufacturing IT- concept feasible and commercially attractive. An IT-tool...... concept for modelling, simulation and design of mechatronic products and systems is proposed in this paper. It built on results from a Danish mechatronic research program on intelligent motion control as well as from the Esprit project SWING on IT-tools for rapid prototyping of fluid power components...

  17. Sampling from stochastic reservoir models constrained by production data

    Energy Technology Data Exchange (ETDEWEB)

    Hegstad, Bjoern Kaare

    1997-12-31

    When a petroleum reservoir is evaluated, it is important to forecast future production of oil and gas and to assess forecast uncertainty. This is done by defining a stochastic model for the reservoir characteristics, generating realizations from this model and applying a fluid flow simulator to the realizations. The reservoir characteristics define the geometry of the reservoir, initial saturation, petrophysical properties etc. This thesis discusses how to generate realizations constrained by production data, that is to say, the realizations should reproduce the observed production history of the petroleum reservoir within the uncertainty of these data. The topics discussed are: (1) Theoretical framework, (2) History matching, forecasting and forecasting uncertainty, (3) A three-dimensional test case, (4) Modelling transmissibility multipliers by Markov random fields, (5) Up scaling, (6) The link between model parameters, well observations and production history in a simple test case, (7) Sampling the posterior using optimization in a hierarchical model, (8) A comparison of Rejection Sampling and Metropolis-Hastings algorithm, (9) Stochastic simulation and conditioning by annealing in reservoir description, and (10) Uncertainty assessment in history matching and forecasting. 139 refs., 85 figs., 1 tab.

  18. Hybrid optimization model of product concepts

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Deficiencies of applying the simple genetic algorithm to generate concepts were specified. Based on analyzing conceptual design and the morphological matrix of an excavator, the hybrid optimization model of generating its concepts was proposed, viz. an improved adaptive genetic algorithm was applied to explore the excavator concepts in the searching space of conceptual design, and a neural network was used to evaluate the fitness of the population. The optimization of generating concepts was finished through the "evolution - evaluation" iteration. The results show that by using the hybrid optimization model, not only the fitness evaluation and constraint conditions are well processed, but also the search precision and convergence speed of the optimization process are greatly improved. An example is presented to demonstrate the advantages of the proposed method and associated algorithms.

  19. Pebble Bed Reactor Dust Production Model

    International Nuclear Information System (INIS)

    The operation of pebble bed reactors, including fuel circulation, can generate graphite dust, which in turn could be a concern for internal components; and to the near field in the remote event of a break in the coolant circuits. The design of the reactor system must, therefore, take the dust into account and the operation must include contingencies for dust removal and for mitigation of potential releases. Such planning requires a proper assessment of the dust inventory. This paper presents a predictive model of dust generation in an operating pebble bed with recirculating fuel. In this preliminary work the production model is based on the use of the assumption of proportionality between the dust production and the normal force and distance traveled. The model developed in this work uses the slip distances and the inter-pebble forces computed by the authors PEBBLES. The code, based on the discrete element method, simulates the relevant static and kinetic friction interactions between the pebbles as well as the recirculation of the pebbles through the reactor vessel. The interaction between pebbles and walls of the reactor vat is treated using the same approach. The amount of dust produced is proportional to the wear coefficient for adhesive wear (taken from literature) and to the slip volume, the product of the contact area and the slip distance. The paper will compare the predicted volume with the measured production rates. The simulation tallies the dust production based on the location of creation. Two peak production zones from intra pebble forces are predicted within the bed. The first zone is located near the pebble inlet chute due to the speed of the dropping pebbles. The second peak zone occurs lower in the reactor with increased pebble contact force due to the weight of supported pebbles. This paper presents the first use of a Discrete Element Method simulation of pebble bed dust production

  20. Incorporation of genetic technologies associated with applied reproductive technologies to enhance world food production

    Science.gov (United States)

    Animal breeding and reproductive physiology have been closely related throughout the history of animal production science. Artificial insemination provides the best method of increasing the influence of sires with superior genetics to improve production traits. Multiple ovulation embryo transfer (MO...

  1. Food Safety Detection Methods Applied to National Special Rectification of Product Quality and Food Safety

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ Afour-month period of national special rectification for product quality and food safety officially started on August 25, and was focused on eight fields, including those of agricultural products and processed foods.

  2. Alternative methods of modeling wind generation using production costing models

    International Nuclear Information System (INIS)

    This paper examines the methods of incorporating wind generation in two production costing models: one is a load duration curve (LDC) based model and the other is a chronological-based model. These two models were used to evaluate the impacts of wind generation on two utility systems using actual collected wind data at two locations with high potential for wind generation. The results are sensitive to the selected wind data and the level of benefits of wind generation is sensitive to the load forecast. The total production cost over a year obtained by the chronological approach does not differ significantly from that of the LDC approach, though the chronological commitment of units is more realistic and more accurate. Chronological models provide the capability of answering important questions about wind resources which are difficult or impossible to address with LDC models

  3. Applying unit process life cycle inventory (UPLCI) methodology in product/packaging combinations

    NARCIS (Netherlands)

    Oude Luttikhuis, Ellen; Toxopeuw, Marten E.; Overcash, Michael; Nee, Andrew Y.C.; Song, Bin; Ong, Soh-Khim

    2013-01-01

    This paper discusses how the UPLCI approach can be used for determining the inventory of the manufacturing phases of product/packaging combinations. The UPLCI approach can make the inventory of the manufacturing process of the product that is investigated more accurate. The life cycle of product/pac

  4. Divorce and Child Behavior Problems: Applying Latent Change Score Models to Life Event Data

    Science.gov (United States)

    Malone, Patrick S.; Lansford, Jennifer E.; Castellino, Domini R.; Berlin, Lisa J.; Dodge, Kenneth A.; Bates, John E.; Pettit, Gregory S.

    2004-01-01

    Effects of parents' divorce on children's adjustment have been studied extensively. This article applies new advances in trajectory modeling to the problem of disentangling the effects of divorce on children's adjustment from related factors such as the child's age at the time of divorce and the child's gender. Latent change score models were used…

  5. Applying Modern Techniques and Carrying Out English .Extracurricular—— On the Model United Nations Activity

    Institute of Scientific and Technical Information of China (English)

    XuXiaoyu; WangJian

    2004-01-01

    This paper is an introduction of the extracurricular activity of the Model United Nations in Northwestern Polyteehnical University (NPU) and it focuses on the application of the modem techniques in the activity and the pedagogical theories applied in it. An interview and questionnaire research will reveal the influence of the Model United Nations.

  6. Eta and kaon production in a chiral quark model

    CERN Document Server

    Golli, Bojan

    2016-01-01

    We apply a coupled-channel formalism incorporating quasi-bound quark-model states to calculate pion scattering into eta N, K Lambda and K Sigma channels, as well eta p, eta n, K+Lambda, and K0Sigma+ photo-production processes. The meson-baryon and photon-baryon vertices are determined in a SU(3) version of the Cloudy Bag Model. Our model predicts sizable amplitudes in the P11, P13, P33 and S11 partial waves in agreement with the latest MAID isobar model and the recent partial-wave analyses of the Bonn-Gatchina group. We are able to give a quark-model explanation for the apparent resonance at 1685 MeV in the eta n channel.

  7. Latex Colloid Dynamics in Complex Dispersions : Fluorescence Microscopy Applied to Coating Color Model Systems

    OpenAIRE

    Carlsson, Gunilla

    2004-01-01

    Coating colors are applied to the base paper in order to maximize the performance of the end product. Coating colors are complex colloidal systems, mainly consisting of water, binders, and pigments. To understand the behavior of colloidal suspensions, an understanding of the interactions between its components is essential.

  8. Applying a Knowledge Management Modeling Tool for Manufacturing Vision (MV) Development

    DEFF Research Database (Denmark)

    Wang, Chengbo; Luxhøj, James T.; Johansen, John

    2004-01-01

    This paper introduces an empirical application of an experimental model for knowledge management within an organization, namely a case-based reasoning model for manufacturing vision development (CBRM). The model integrates the development process of manufacturing vision with the methodology of case...... that the CBRM is supportive to the decision-making process of applying and augmenting organizational knowledge. It provides a new angle to tackle strategic management issues within the manufacturing system of a business operation. Explores a new proposition within strategic manufacturing management by...... enriching and extending the concept of MV while trying to lead the CBR methodology into a new domain by applying it in strategic management....

  9. Mining Product Data Models: A Case Study

    Directory of Open Access Journals (Sweden)

    Cristina-Claudia DOLEAN

    2014-01-01

    Full Text Available This paper presents two case studies used to prove the validity of some data-flow mining algorithms. We proposed the data-flow mining algorithms because most part of mining algorithms focuses on the control-flow perspective. First case study uses event logs generated by an ERP system (Navision after we set several trackers on the data elements needed in the process analyzed; while the second case study uses the event logs generated by YAWL system. We offered a general solution of data-flow model extraction from different data sources. In order to apply the data-flow mining algorithms the event logs must comply a certain format (using InputOutput extension. But to respect this format, a set of conversion tools is needed. We depicted the conversion tools used and how we got the data-flow models. Moreover, the data-flow model is compared to the control-flow model.

  10. Examples of New Models Applied in Selected Simulation Systems with Respect to Database

    Directory of Open Access Journals (Sweden)

    Z. Ignaszak

    2013-01-01

    Full Text Available The tolerance of damage rule progressively meets the approval in the design casting parts procedures. Therefore, there were appeared thenew challenges and expectations for permanent development of process virtualization in the mechanical engineering industry.Virtualization is increasingly developed on the stage of product design and materials technologies optimization. Increasing expectations of design and process engineers regarding the practical effectiveness of applied simulation systems with new proposed up-grades modules is observed. The purpose is to obtain simulation tools allowing the most possible realistic prognosis of the casting structure, including indication, with the highest possible probability, places in the casting that are endangered with the possibility of shrinkage– and gas porosity formation. This 3D map of discontinuities and structure transformed in local mechanical characteristics are used to calculate the local stresses and safety factors. The needs of tolerance of damage and new approach to evaluate the quality of such prognosis must be defined. These problems of validation of new models/modules used to predict the shrinkage– and gas porosity including the chosen structure parameters in the example of AlSi7 alloy are discussed in the paper.

  11. Knowledge fusion: Time series modeling followed by pattern recognition applied to unusual sections of background data

    International Nuclear Information System (INIS)

    This report describes work performed during FY 95 for the Knowledge Fusion Project, which by the Department of Energy, Office of Nonproliferation and National Security. The project team selected satellite sensor data as the one main example to which its analysis algorithms would be applied. The specific sensor-fusion problem has many generic features that make it a worthwhile problem to attempt to solve in a general way. The generic problem is to recognize events of interest from multiple time series in a possibly noisy background. By implementing a suite of time series modeling and forecasting methods and using well-chosen alarm criteria, we reduce the number of false alarms. We then further reduce the number of false alarms by analyzing all suspicious sections of data, as judged by the alarm criteria, with pattern recognition methods. This report describes the implementation and application of this two-step process for separating events from unusual background. As a fortunate by-product of this activity, it is possible to gain a better understanding of the natural background

  12. Modelling the ATP production in mitochondria

    CERN Document Server

    Saa, Alberto

    2012-01-01

    We revisit here the mathematical model for ATP production in mitochondria introduced recently by Bertram, Pedersen, Luciani, and Sherman (BPLS) as a simplification of the more complete but intricate Magnus and Keizer's model. We correct some inaccuracies in the BPLS original approximations and then analyze some of the dynamical properties of the model. We infer from exhaustive numerical explorations that the enhanced BPLS equations have a unique attractor fixed point for physiologically acceptable ranges of mitochondrial variables and respiration inputs. We determine, in the stationary regime, the dependence of the mitochondrial variables on the respiration inputs, namely the cytosolic concentration of calcium ${\\rm Ca}_{\\rm c}$ and the substrate fructose 1,6-bisphosphate FBP. The same effect of calcium saturation reported for the original BPLS model is observed here. We find out, however, an interesting non-stationary effect: the inertia of the model tends to increase considerably for high concentrations of ...

  13. Modelling preparation and consumption of pork products

    DEFF Research Database (Denmark)

    Swart, Arno; Nauta, Maarten; Evers, Eric;

    types of pork are considered: minced meat, pork cuts and dry cured sausages. This particular choice was made because each product represents a clear distinct hazard. Pork cuts are usually cooked well, but there is a chance of cross contamination during cutting and handling of the meat. Minced meat is...... daily life food handling practices are hard to obtain. We performed a literature survey and parametrised the model including the inherent variability in consumer behaviour. The output is the number of Salmonellae ingested per person per day, for each pig meat product. This output will in feed into the...

  14. Influence of storage conditions in the evolution of phytochemicals in nutraceutical products applying high resolution mass spectrometry.

    Science.gov (United States)

    López-Gutiérrez, Noelia; Romero-González, Roberto; Vidal, José Luis Martínez; Frenich, Antonia Garrido

    2016-06-15

    An adequate knowledge about possible transformation of bioactive compounds in nutraceutical products during long storage is important in order to know potential modifications of this type of compounds. In this study, one year monitoring was performed in different types of nutraceutical products based on natural extracts (green tea, soy, royal jelly and grapes) observing the appearance of new bioactive compounds, which were not detected at the initial conditions, as well as the decrease of some of the detected compounds. To determine these transformation products, an analytical procedure based on high resolution mass spectrometry (Exactive-Orbitrap analyzer) was applied. It was noted that transformation products were detected after 3 months of storage in green tea and soy products, while 6 months were necessary to observe transformation products in royal jelly. PMID:26868548

  15. Musculoskeletal modelling of muscle activation and applied external forces for the correction of scoliosis

    OpenAIRE

    Curtin, Maurice; Lowery, Madeleine M.

    2014-01-01

    Background This study uses biomechanical modelling and computational optimization to investigate muscle activation in combination with applied external forces as a treatment for scoliosis. Bracing, which incorporates applied external forces, is the most popular non surgical treatment for scoliosis. Non surgical treatments which make use of muscle activation include electrical stimulation, postural control, and therapeutic exercises. Electrical stimulation has been largely dismissed as a viabl...

  16. Applying Some Elements of Just in Time System to Improve TELMEC’s Internal Production Performance

    OpenAIRE

    Gomes Eduardo, Adao Francisco

    2009-01-01

    The author has been doing its Dissertation Project at Strategic Business unit (SBU), which is one of the TELMEC Company’s Factory Units, that produces mainly domestics cooking pots and pans. The factory has been presenting some internal production performance issues. One of these issues which have been affecting the production is the excessive transportation of material handling caused by old production layout design, and the inadequate co-ordination of information process causing an increase...

  17. Examples of Communicating Uncertainty Applied to Earthquake Hazard and Risk Products

    Science.gov (United States)

    Wald, D. J.

    2013-12-01

    When is communicating scientific modeling uncertainty effective? One viewpoint is that the answer depends on whether one is communicating hazard or risk: hazards have quantifiable uncertainties (which, granted, are often ignored), yet risk uncertainties compound uncertainties inherent in the hazard with those of the risk calculations, and are thus often larger. Larger, yet more meaningful: since risk entails societal impact of some form, consumers of such information tend to have a better grasp of the potential uncertainty ranges for loss information than they do for less-tangible hazard values (like magnitude, peak acceleration, or stream flow). I present two examples that compare and contrast communicating uncertainty for earthquake hazard and risk products. The first example is the U.S. Geological Survey's (USGS) ShakeMap system, which portrays the uncertain, best estimate of the distribution and intensity of shaking over the potentially impacted region. The shaking intensity is well constrained at seismograph locations yet is uncertain elsewhere, so shaking uncertainties are quantified and presented spatially. However, with ShakeMap, it seems that users tend to believe what they see is accurate in part because (1) considering the shaking uncertainty complicates the picture, and (2) it would not necessarily alter their decision-making. In contrast, when it comes to making earthquake-response decisions based on uncertain loss estimates, actions tend to be made only after analysis of the confidence in (or source of) such estimates. Uncertain ranges of loss estimates instill tangible images for users, and when such uncertainties become large, intuitive reality-check alarms go off, for example, when the range of losses presented become too wide to be useful. The USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system, which in near-real time alerts users to the likelihood of ranges of potential fatalities and economic impact, is aimed at

  18. Test of large-scale specimens and models as applied to NPP equipment materials

    International Nuclear Information System (INIS)

    The paper presents the test results on low-cycle fatigue, crack growth rate and fracture toughness of large-scale specimens and structures, manufactured from steel, widely applied in power engineering industry and used for the production of NPP equipment with VVER-440 and VVER-1000 reactors. The obtained results are compared with available test results of standard specimens and calculation relations, accepted in open-quotes Calculation Norms on Strength.close quotes At the fatigue crack initiation stage the experiments were performed on large-scale specimens of various geometry and configuration, which permitted to define 15X2MFA steel fracture initiation resistance by elastic-plastic deformation of large material volume by homogeneous and inhomogeneous state. Besides the above mentioned specimen tests in the regime of low-cycle loading, the test of models with nozzles were performed and a good correlation of the results on fatigue crack initiation criterium was obtained both with calculated data and standard low-cycle fatigue tests. It was noted that on the Paris part of the fatigue fracture diagram a specimen thickness increase does not influence fatigue crack growth resistance by tests in air both at 20 and 350 degrees C. The estimation of the comparability of the results, obtained on specimens and models was also carried out for this stage of fracture. At the stage of unstable crack growth by static loading the experiments were conducted on specimens of various thickness for 15X2MFA and 15X2NMFA steels and their welded joints, produced by submerged arc welding, in as-produced state (the beginning of service) and after embrittling heat treatment, simulating neutron fluence attack (the end of service). The obtained results give evidence of the possibility of the reliable prediction of structure elements brittle fracture using fracture toughness test results on relatively small standard specimens. 35 refs., 23 figs

  19. The accident evolution and barrier model applied to incident analysis in the processing industries

    International Nuclear Information System (INIS)

    This study presents a model for how accidents develop and how the accident evolution can be arrested. The model describes the interaction between the technical and human-organizational systems which may lead to an accident. The framework provided by the model may be used in predictive safety analyses as well as in post-hoc incident analyses. To illustrate this, the model is applied on an incident reported by the nuclear industry of Sweden. In general, application of the model will indicate where safety can be improved and raises questions about issues such as the cost, feasibility and effectiveness of different ways of increasing safety. (author). 15 refs, 2 figs

  20. Microplume model of spatial-yield spectra. [applying to electron gas degradation in molecular nitrogen gas

    Science.gov (United States)

    Green, A. E. S.; Singhal, R. P.

    1979-01-01

    An analytic representation for the spatial (radial and longitudinal) yield spectra is developed in terms of a model containing three simple 'microplumes'. The model is applied to electron energy degradation in molecular nitrogen gas for 0.1 to 5 keV incident electrons. From the nature of the cross section input to this model it is expected that the scaled spatial yield spectra for other gases will be quite similar. The model indicates that each excitation, ionization, etc. plume should have its individual spatial and energy dependence. Extensions and aeronomical and radiological applications of the model are discussed.

  1. Modeling of power train by applying the virtual prototype concept; Kaso genkei ni yoru power train no model ka

    Energy Technology Data Exchange (ETDEWEB)

    Hiramatsu, S.; Harada, Y.; Arakawa, H.; Komori, S. [Mazda Motor Corp., Hiroshima (Japan); Sumida, S. [U-Shin Corp., Tokyo (Japan)

    1997-10-01

    This paper describes the simulation of power train that includes the model developed by applying the virtual prototype concept. By this concept, subsystem models which consist of functional model and mechanism models are integrated into a total system model. This peculiarity in architecture of model, which is called the hierarchical structure, enables us to model a system of large scale with many units, systems and parts easily. Two kinds of computer simulations are performed. One is engine revolution fluctuation by accessory load input, and the other is changing gears by automatic transmission. They are verified to have sufficient accuracy. 2 refs., 12 figs.

  2. Product with service, technology with business model

    DEFF Research Database (Denmark)

    Sakao, Tomohiko; McAloone, Tim C.

    2011-01-01

    /Service-Systems (PSS) design. This paper first explains PSS design as a type of an expansion of the engineering design of a physical product. Secondly, it gives a review of PSS research and a projection of future research issues, also ranging out into untraditional fields of research. Finally, it presents a new......Looking back over the last decade, the importance of an expanded understanding of engineering design has been shared within the engineering design community. Presented concepts and methods to support such expansion include Functional Product Development, Service Engineering, and Product...... promising concept beyond PSS design; via an integrated development of technology and business model. This can be of particular interest for further research, especially due to its high freedom for designers....

  3. Gridded radar rainfall product for comparison with model rainfall

    Science.gov (United States)

    Jyothi, K. Amar; Devajyoti, D.; Kumar, D. Preveen; Rajagopal, E. N.; Rao, T. Narayana

    2016-05-01

    A tool for the entire Indian weather radar network using the static composite QI (Quality Index) map is generated. Various customized modules are used for this generation of the radar mosaic. The characterization of quality of DWR (Doppler weather Radar) data in terms of their QI is essential for assimilating the data into NWP (Numerical Weather Prediction) models. The static QI maps give a quick overview about the inherent errors in the DWR data. Quality control algorithms are applied for the generation of composite QI. The near real time access to the DWR data at NCMRWF enables the generation of an accumulated gridded radar rainfall product. This gridded rainfall map is useful for generating products like high resolution rainfall product, QPE (quantitative precipitation estimate) and for other applications. Results of some case studies shall be presented.

  4. A Numerical Procedure for Model Identifiability Analysis Applied to Enzyme Kinetics

    DEFF Research Database (Denmark)

    Daele, Timothy, Van; Van Hoey, Stijn; Gernaey, Krist;

    2015-01-01

    structure evaluation by assessing the local identifiability characteristics of the parameters. Moreover, such a procedure should be generic to make sure it can be applied independent from the structure of the model. We hereby apply a numerical identifiability approach which is based on the work of Walter...... and Pronzato (1997) and which can be easily set up for any type of model. In this paper the proposed approach is applied to the forward reaction rate of the enzyme kinetics proposed by Shin and Kim(1998). Structural identifiability analysis showed that no local structural model problems were occurring....... In contrast, the practical identifiability analysis revealed that high values of the forward rate parameter Vf led to identifiability problems. These problems were even more pronounced athigher substrate concentrations, which illustrates the importance of a proper experimental designto avoid...

  5. Research on the Multi-target Training Model for Applied College Undergraduates

    Directory of Open Access Journals (Sweden)

    Baiqing Zhu

    2013-05-01

    Full Text Available In this study, we have a research on the multi-target training model for applied college undergraduates. As the consequence of the increasing challenges from the rapid development of the current economic society and the change of the employment situation, new demands are emerged for the applied college’s personnel training, the objectives of the applied college are not only training undergraduates to become an employee with good professional knowledge and vocational skills, but also training a certain number of undergraduates to become an entrepreneur who provide the job opportunity. To achieve these, a multi-target training model has to be established which integrates professional knowledge with vocational skills and entrepreneurial ability and the space-time restriction of the multi-target training model must be break through.

  6. Studying the Relationship Between Climatic Factors and Cotton Production by Different Applied Methods

    Directory of Open Access Journals (Sweden)

    Zakaria M. Sawan

    2013-11-01

    Full Text Available This study investigates the statistical relationship between climatic variables and aspects of cotton production (G. barbadense, and the effects of climatic factors prevailing prior to flowering or subsequent to boll setting on flower and boll production and retention in cotton. Also, the study covers the predicted effects of climatic factors during convenient intervals (in days on cotton flower and boll production compared with daily observation. Further, cotton flower and boll production as affected by climatic factors and soil moisture status has been considered. Evaporation, sunshine duration, relative humidity , surface soil temperature at 1800 h, and maximum air temperature are the important climatic factors that significantly affect flower and boll production. The least important variables were found to be surface soil temperature at 0600 h and minimum temperature. The five-day interval was found to be more adequately and sensibly related to yield parameters. Evaporation, minimum humidity and sunshine duration were the most effective climatic factors during preceding and succeeding periods on boll production and retention. There was a negative correlation between flower and boll production and either evaporation or sunshine duration, while that correlation with minimum relative humidity was positive. The soil moisture status showed low and in significant correlation with flower and boll production. Higher minimum relative humidity, short period of sunshine duration, and low temperatures enhanced flower and boll formation.

  7. A STUDY ON NEW PRODUCT DEMAND FORECASTING BASED ON BASS DIFFUSION MODEL

    OpenAIRE

    Zuhaimy Ismail; Noratikah Abu

    2013-01-01

    A forecasting model of new product demand has been developed and applied to forecast new vehicle demand in Malaysia. Since the publication of the Bass model in 1969, innovation of new diffusion theory has sparked considerable research among marketing science scholars, operational researchers and mathematicians. This study considers the Bass Model for forecasting the diffusion of new products or an innovation in the Malaysian society. The objective of the proposed model is to represent the lev...

  8. Modeling of petroleum products demand in France

    International Nuclear Information System (INIS)

    This project was carried out under the responsibility of the Strategy -Economics - Program Division of the Institut Francais du Petrole. The goal was the short-term (12 months) forecasting of the demand with regard to the four leading petroleum products in France - gas oil (GO), automotive fuel (CA), home heating oil (FOD) and heavy fuel oil (FL). It was decided to test an original method (1) and to compare it with the widely used Box and Jenkins method (2), which gives good results for the GO and CA series but which proves disappointing for the FOD and FL series. This study is in two parts: (1) the first part describes the original method by breaking it down into trends and seasonality, with the model being additive or multiplicative. We improved its performances by using the theory of the Weiner filter. (2) The second part concerns Box and Jenkins modeling. This model was used on the unprocessed series and then on the series corrected for the influence of working days with the help of the ''Census X11'' de-seasoning program. For each method, the principal phases are described for the modeling of gas oil on the French domestic market. For the other products, only the principal results are given, i.e. structure of the model retained, matching with reality, reliability of forecasts. (Author). 5 refs., 7 tabs., 3 annexes

  9. MODELLING PRODUCTIONS AND ATTRACTIONS OF FREIGHT TRANSPORT

    OpenAIRE

    Zibelnik, Klemen

    2011-01-01

    This diploma thesis addresses the theoretical bases of the regression analysis, identifies the data necessary for the performance of the analysis and modelling of productions and freight transport attractions and examines dependence of European states’ export and import respectively on socio-economic indicators of the states. The focus was limited to the EU Member States and candidate countries for the entry into the EU as well as the available railway and road transport data a...

  10. Integrated modelling of nitrate loads to coastal waters and land rent applied to catchment scale water management

    DEFF Research Database (Denmark)

    Jacosen, T.; Refsgaard, A.; Jacobsen, Brian H.;

    agricultural production and leakage of nitrate constitute a major pollution problem with respect groundwater aquifers (drinking water), fresh surface water systems (water quality of lakes) and coastal receiving waters (eutrophication). The case study presented illustrates an advanced modelling approach applied...... in river basin management. Point sources (e.g. sewage treatment plant discharges) and distributed diffuse sources (nitrate leakage) are included to provide a modelling tool capable of simulating pollution transport from source to recipient to analyse effects of specific, localized basin water...... management plans. The paper also includes a land rent modelling approach which can be used to choose the most cost effective measures and the location of these measures. As a forerunner to the use of basin scale models in WFD basin water management plans this project demonstrates potential and limitations in...

  11. Collaborative Product Configuration Model in Networked Manufacturing Based on Semantic Web%投稿须知

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Aim at the requirements of collaborative product configuration design in networked manufacturing, a collaborative product configuration model based on semantic web was exploredA semantic web-based structure of the collaborative product configuration model was proposedAnd a product configuration design workflow model was constructedThe collaborative product configuration ontology was constructed by definition of semantic-based metadata of collaborative product configuration information. The ontology was used for semantic annotation of information that dispersed in the network.So the product configuration information can shared between collaborative enterprises in networked manufacturing.And the efficiency of distribute information exchange and the collaborative product development level can be improved,The validity of the model was verified by applying the model into a networked collaborative design platform.

  12. Product with service, technology with business model

    DEFF Research Database (Denmark)

    Sakao, Tomohiko; McAloone, Tim C.

    Looking back over the last decade, the importance of an expanded understanding of engineering design has been shared within the engineering design community. Presented concepts and methods to support such expansion include Functional Product Development, Service Engineering, and Product/Service-S...... promising concept beyond PSS design; via an integrated development of technology and business model. This can be of particular interest for further research, especially due to its high freedom for designers.......Looking back over the last decade, the importance of an expanded understanding of engineering design has been shared within the engineering design community. Presented concepts and methods to support such expansion include Functional Product Development, Service Engineering, and Product....../Service-Systems (PSS) design. This paper first explains PSS design as a type of an expansion of the engineering design of a physical product. Secondly, it gives a review of PSS research and a projection of future research issues, also ranging out into untraditional fields of research. Finally, it presents a new...

  13. Recent developments of surface complexation models applied to environmental aquatic chemistry

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Based on numerous latest references, the current developments in surface complexation, surface precipitation and the corresponding models (SCMs and SPMs), were reviewed. The contents involved comparison on surface charge composition and layer-structure of solid-solution interface for the classical 1-pK and 2- pK models, In addition, the fundamental concept and relations of the new models, i.e., multi-site complexation (MUSIC) and charge -distribution (CD) MUSIC models were described as well. To avoid misuse or abuse, it must be emphasized that the applicability nd limitation for each model should be considered carefully when selecting the concerned model(s). In addition, some new powerful techniques for surface characterization and analysis applied to model establishment and modification were also briefly introduced.

  14. Fluidized Bed Gasification as a Mature And Reliable Technology for the Production of Bio-Syngas and Applied in the Production of Liquid Transportation Fuels: A Review

    OpenAIRE

    Verkooijen, Adrian H. M.; Wiebren de Jong; Marcin Siedlecki

    2011-01-01

    Biomass is one of the renewable and potentially sustainable energy sources and has many possible applications varying from heat generation to the production of advanced secondary energy carriers. The latter option would allow mobile services like the transportation sector to reduce its dependency on the fossil fuel supply. This article reviews the state-of-the-art of the fluidization technology applied for the gasification of biomass aimed at the production of gas for subsequent synthesis of ...

  15. The HAZOP methodology applied to the study of the quality and the productivity

    International Nuclear Information System (INIS)

    This article makes reference to an adaptation of the method HAZOP, used in Administration of Risks, to the study and solution of problems related with the quality and the productivity of matters cousins, processes, products and services. The described methodology, it is based in the definition of, intentions, or objectives for each part of the process, sub-process, product or service, with the purpose of finding, deviations, or problems of quality or productivity with the use of words guide. It thinks about that each deviation should be analyzed for the determination of its causes and consequences, with the purpose of defining the corrective pertinent actions. The work of interdisciplinary groups intends as an unavoidable requirement, the same as the will of its members to make the things better every day

  16. INTENSIFICATION OF COOLING THE POLYMER OR RUBBER ISOLATION APPLIED TO THE CORES OF CABLE PRODUCTS

    OpenAIRE

    Мікульонок, Ігор Олегович; Сокольський, Олександр Леонідович; Соколенко, В. В.

    2015-01-01

    In manufacture of cable production with insulation on the basis of high-molecular substances necessary productivity of technological lines is usually reached by application of a high-efficiency extrusion method.During formation of electric insulation from polymers and rubber mixes the temperature of an insulating cover of current-carrying cores changes from temperature of formation of polymer or vulcanization of a rubber mix to temperature in receiving device of a technological line for impos...

  17. Effect of applied environmental stress on growth, photosynthesis, carbon allocation, and hydrocarbon production in Euphorbia lathyris

    International Nuclear Information System (INIS)

    Photosynthetic activity was reduced by salinity stress, but is was found to be less sensitive than growth. Salinity stress also caused changes in the concentrations of specific cations. Moderate water stress had little effect on growth, but large changes in hydrocarbon production were still observed. Carbon allocation experiments with radiolabeled carbon indicated that carbon for latex production was supplied by nearby leaves, with some translocation down the stem also occurring

  18. Unintegrated parton densities applied to heavy quark production in the CCFM approach

    OpenAIRE

    Jung, H

    2001-01-01

    The application of k_t - factorization supplemented with the CCFM small-x evolution equation to heavy quark production is discussed. The b-b_bar production cross sections at the TEVATRON can be consistently described using the k_t-factorization formalism together with the unintegrated gluon density obtained within the CCFM evolution approach from a fit to HERA F_2 data. Special attention is drawn to the comparison with measured visible cross sections. The visible measured cross sections at HE...

  19. Optimization performance of an AnSBBR applied to biohydrogen production treating whey.

    Science.gov (United States)

    Lima, D M F; Lazaro, C Z; Rodrigues, J A D; Ratusznei, S M; Zaiat, M

    2016-03-15

    The present study investigated the influence of the influent concentration of substrate, feeding time and temperature on the production of biohydrogen from cheese whey in an AnSBBR with liquid phase recirculation. The highest hydrogen yield (0.80 molH2.molLactose(-1)) and productivity (660 mLH2 L(-1) d(-1)) were achieved for influent concentrations of 5400 mgDQO L(-1). No significant difference was noted in the biological hydrogen production for the feeding time conditions analyzed. The lowest temperature tested (15 °C) promoted the highest hydrogen yield and productivity (1.12 molH2 molLactose(-1) and 1080 mLH2 L(-1) d(-1)), and for the highest temperature (45 °C), hydrogen production did not occur. The indicator values for the hydrogen production obtained with this configuration were higher than those obtained in other studies using traditional configurations such as UASBr and CSTR. A phylogenetic analysis showed that the majority of the analyzed clones were similar to Clostridium. In addition, clones phylogenetically similar to the Lactobacilaceae family, notably Lactobacillus rhamnosus, and clones with similar sequences to Acetobacter indonesiensis were observed in small proportion in the reactor. PMID:26751813

  20. Co-Production of Quality in the Applied Education Research Scheme

    Science.gov (United States)

    Ozga, Jenny

    2007-01-01

    This contribution looks at the ways in which research quality is defined and addressed in the Applied Education Research Scheme (AERS), particularly within the network on Schools and Social Capital, which is one of the four areas of work within the overall AERS scheme. AERS is a five-year programme, funded jointly by the Scottish Executive and the…

  1. Finite element modeling and analysis of piezo-integrated composite structures under large applied electric fields

    Science.gov (United States)

    Rao, M. N.; Tarun, S.; Schmidt, R.; Schröder, K.-U.

    2016-05-01

    In this article, we focus on static finite element (FE) simulation of piezoelectric laminated composite plates and shells, considering the nonlinear constitutive behavior of piezoelectric materials under large applied electric fields. Under the assumptions of small strains and large electric fields, the second-order nonlinear constitutive equations are used in the variational principle approach, to develop a nonlinear FE model. Numerical simulations are performed to study the effect of material nonlinearity for piezoelectric bimorph and laminated composite plates as well as cylindrical shells. In comparison to the experimental investigations existing in the literature, the results predicted by the present model agree very well. The importance of the present nonlinear model is highlighted especially in large applied electric fields, and it is shown that the difference between the results simulated by linear and nonlinear constitutive FE models cannot be omitted.

  2. Models for Curricular Materials Development: Combining Applied Development Processes with Theory

    Science.gov (United States)

    Appleton, James; Lawrenz, Frances; Craft, Elaine; Cudmore, Wynn; Hall, Jim; Waintraub, Jack

    2007-12-01

    Developing curricular materials for technical and vocational education is particularly challenging because of the comprehensive requirements for technical education and the rapidity with which technical positions are evolving. Well-educated employees are expected to have general communication, reasoning, problem-solving, and behavioral skills in addition to occupation-specific technical knowledge. Furthermore, technical and vocational education materials must meet the needs of various contexts each with its own unique array of factors which must be accommodated. To assist in the process of materials development, this paper presents a comprehensive and contextualized model as a guide for curricular developers. This model was formed through the synthesis of two theoretical and four applied models, with the outline of the applied models occurring as part of a national evaluation of the National Science Foundation's Advanced Technological Education Program. Examples illuminating the elements of the template are provided.

  3. Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model

    Science.gov (United States)

    Said, Nadia; Engelhart, Michael; Kirches, Christian; Körkel, Stefan; Holt, Daniel V.

    2016-01-01

    Computational models of cognition provide an interface to connect advanced mathematical tools and methods to empirically supported theories of behavior in psychology, cognitive science, and neuroscience. In this article, we consider a computational model of instance-based learning, implemented in the ACT-R cognitive architecture. We propose an approach for obtaining mathematical reformulations of such cognitive models that improve their computational tractability. For the well-established Sugar Factory dynamic decision making task, we conduct a simulation study to analyze central model parameters. We show how mathematical optimization techniques can be applied to efficiently identify optimal parameter values with respect to different optimization goals. Beyond these methodological contributions, our analysis reveals the sensitivity of this particular task with respect to initial settings and yields new insights into how average human performance deviates from potential optimal performance. We conclude by discussing possible extensions of our approach as well as future steps towards applying more powerful derivative-based optimization methods. PMID:27387139

  4. Divorce and Child Behavior Problems: Applying Latent Change Score Models to Life Event Data

    OpenAIRE

    Malone, Patrick S; Lansford, Jennifer E.; Castellino, Domini R.; Berlin, Lisa J.; Dodge, Kenneth A.; Bates, John E.; Pettit, Gregory S.

    2004-01-01

    Effects of parents' divorce on children's adjustment have been studied extensively. This article applies new advances in trajectory modeling to the problem of disentangling the effects of divorce on children's adjustment from related factors such as the child's age at the time of divorce and the child's gender. Latent change score models were used to examine trajectories of externalizing behavior problems in relation to children's experience of their parents' divorce. Participants included 35...

  5. Modeling the QSAR of ACE-Inhibitory Peptides with ANN and Its Applied Illustration

    OpenAIRE

    Ronghai He; Haile Ma; Weirui Zhao; Wenjuan Qu; Jiewen Zhao; Lin Luo; Wenxue Zhu

    2012-01-01

    A quantitative structure-activity relationship (QSAR) model of angiotensin-converting enzyme- (ACE-) inhibitory peptides was built with an artificial neural network (ANN) approach based on structural or activity data of 58 dipeptides (including peptide activity, hydrophilic amino acids content, three-dimensional shape, size, and electrical parameters), the overall correlation coefficient of the predicted versus actual data points is = 0 . 9 2 8 , and the model was applied in ACE-inhibitory ...

  6. Applying the Balaton Sector Model for Analysis of Phosphorus Dynamics in Lake Balaton, 1976-1978

    OpenAIRE

    Leonov, A.V.

    1981-01-01

    The Balaton Sector Model was developed at IIASA. It includes the interaction between five phosphorus fractions (dissolved organic P, dissolved inorganic P, nonliving particulate P, phytoplankton P, and bacterial P) and takes into account the wind- and temperature-regulated phosphorus exchange between sediment and water as well as the horizontal transport of phosphorus fractions from basin to basin by wind induced and advective water flow. This model was applied to a real set of field observat...

  7. Two birds with one stone: Improving the quality of market information and inter-functional integration during product development by applying a means-end-chain approach

    DEFF Research Database (Denmark)

    Søndergaard, Helle Alsted; Harmsen, Hanne

    The need for better links to the market as well as improved internal sharing and use of market information have been stressed as central for market oriented product development. In this paper we suggest a conseptual model for the identification of relevant market information (based on the...... understanding of consumers' vertical and horizontal decision structure) combined with considerations on effective internal use of the information. The suggested model is applied in case studies in an action research project, and experiences with the application are discussed....

  8. Two birds with one stone: Improving the quality of market information and inter-functional integration during product development by applying a means-end-chain approach

    DEFF Research Database (Denmark)

    Søndergaard, Helle Alsted

    2005-01-01

    The need for better links to the market as well as improved internal sharing and use of market information have been stressed as central for market oriented product development. In this paper we suggest a conceptual model for the identification of relevant market information (based on the...... understanding of consumers' vertical and horizontal decision structure) combined with considerations on effective internal use of the information. The suggested model is applied in case studies in an action research project, and experiences with the application are discussed....

  9. Applying the Transtheoretical Model to Reality Television: The Biggest Loser Case Study

    Science.gov (United States)

    Barry, Adam E.; Piazza-Gardner, Anna K.

    2012-01-01

    This teaching idea presents a heuristic example using reality television as a tool for applying health behavior theory. It utilizes The Biggest Loser (TBL) to provide "real world" cases depicting how individuals progress through/experience the Transtheoretical Model (TTM). Observing TBL contestants provides students practice grounding…

  10. Crystal Field Theory and the Angular Overlap Model Applied to Hydrides of Main Group Elements.

    Science.gov (United States)

    Moore, E. A.

    1990-01-01

    Described is how crystal field theory and the angular overlap model can be applied to very simple molecules which can then be used to introduce such concepts as bonding orbitals, MO diagrams, and Walsh diagrams. The main-group compounds are used as examples and a switch to the transition metal complexes. (KR)

  11. Applying footprint models to investigate MO-dissimilarity over heterogeneous areas

    NARCIS (Netherlands)

    Boer, van de A.; Graf, A.; Moene, A.F.; Schüttemeyer, D.

    2012-01-01

    Monin Obukhov Similarity Theory (MOST) is one of the cornerstones of surface layer meteorology and as such it is widely applied in models and for data analysis. One major disadvantage of using MOST for describing land-atmosphere interactions is that all turbulence properties are described as a funct

  12. Lovaas Model of Applied Behavior Analysis. What Works Clearinghouse Intervention Report

    Science.gov (United States)

    What Works Clearinghouse, 2010

    2010-01-01

    The "Lovaas Model of Applied Behavior Analysis" is a type of behavioral therapy that initially focuses on discrete trials: brief periods of one-on-one instruction, during which a teacher cues a behavior, prompts the appropriate response, and provides reinforcement to the child. Children in the program receive an average of 35 to 40 hours of…

  13. Risk assessment and food allergy: the probabilistic model applied to allergens

    NARCIS (Netherlands)

    Spanjersberg, M.Q.I.; Kruizinga, A.G.; Rennen, M.A.J.; Houben, G.F.

    2007-01-01

    In order to assess the risk of unintended exposure to food allergens, traditional deterministic risk assessment is usually applied, leading to inconsequential conclusions as 'an allergic reaction cannot be excluded'. TNO therefore developed a quantitative risk assessment model for allergens based on

  14. Problems and advantages of applying the e-learning model to the teaching of English

    OpenAIRE

    Shaparenko, А.; Golikova, А.

    2013-01-01

    In this article we mention some potential and noted problems and advantages of applying the e-learning model to the teaching of English. In the area of foreign language teaching a lot has been done, but there are constant attempts for new solutions. Another option for e-learning is a hybrid course.

  15. Flipped Classroom Adapted to the ARCS Model of Motivation and Applied to a Physics Course

    Science.gov (United States)

    Asiksoy, Gülsüm; Özdamli, Fezile

    2016-01-01

    This study aims to determine the effect on the achievement, motivation and self-sufficiency of students of the flipped classroom approach adapted to Keller's ARCS (Attention, Relevance, Confidence and Satisfaction) motivation model and applied to a physics course. The study involved 66 students divided into two classes of a physics course. The…

  16. From Add-On to Mainstream: Applying Distance Learning Models for ALL Students

    Science.gov (United States)

    Zai, Robert, III.; Wesley, Threasa L.

    2013-01-01

    The use of distance learning technology has allowed Northern Kentucky University's W. Frank Steely Library to remove traditional boundaries between both distance and on-campus students. An emerging model that applies these distance learning methodologies to all students has proven effective for enhancing reference and instructional services.…

  17. APPLYING SEASONAL CLIMATE TRENDS TO AGRICULTURAL PRODUCTION IN TANJUNG KARANG, MALAYSIA

    Directory of Open Access Journals (Sweden)

    Mohd Ekhwan Toriman

    2014-01-01

    Full Text Available The North West Selangor Integrated Agriculture Development Agency (NWS-IADA is the most productive agricultural part in Selangor, Malaysia. This is partly because of the inherent high fertility of the soils and the moderate variable climate. However, with increasing global concern about climate impacts, this article examines relative importance of climate influences on the paddy production rate over 28 years (1980-2008. Data collection involved compiling and analyzing climate records from auxiliary station MARDI, Tg. Karang, Malaysia (Station no. 44325, 24 m M.S.L at the coordinates of N 03° 27’ 17” E 101° 09’ 24”. The results indicate that the average rainfall recorded is 1, 765 mm which is similar to national rainfall trend. Meanwhile, the daily humidity varied between 94-96% (8.00 AM and around 70% (2.00 PM while the sunshine hours ranged between 2.3 to 9.5 h. A correlation analysis between the production yield and climatic data at the studied area for the year 2000-2008, showed that for precipitation; rainfall is redundant during the main season while during the off season it bears direct effect on the production yield with the R2 value of -0.293 and 0.1715, respectively; Sunshine hours and temperature demonstrate their importance to production yield as suggested with their respective R2 values.

  18. Applying Value Stream Mapping Technique for Production Improvement in a Manufacturing Company: A Case Study

    Science.gov (United States)

    Jeyaraj, K. L.; Muralidharan, C.; Mahalingam, R.; Deshmukh, S. G.

    2013-01-01

    The purpose of this paper is to explain how value stream mapping (VSM) is helpful in lean implementation and to develop the road map to tackle improvement areas to bridge the gap between the existing state and the proposed state of a manufacturing firm. Through this case study, the existing stage of manufacturing is mapped with the help of VSM process symbols and the biggest improvement areas like excessive TAKT time, production, and lead time are identified. Some modifications in current state map are suggested and with these modifications future state map is prepared. Further TAKT time is calculated to set the pace of production processes. This paper compares the current state and future state of a manufacturing firm and witnessed 20 % reduction in TAKT time, 22.5 % reduction in processing time, 4.8 % reduction in lead time, 20 % improvement in production, 9 % improvement in machine utilization, 7 % improvement in man power utilization, objective improvement in workers skill level, and no change in the product and semi finished product inventory level. The findings are limited due to the focused nature of the case study. This case study shows that VSM is a powerful tool for lean implementation and allows the industry to understand and continuously improve towards lean manufacturing.

  19. Model for H-, D- production by hydrogen backscattering from alkali and alkali/transition-metal surfaces

    International Nuclear Information System (INIS)

    A model for H-, D- production by energetic particles reflecting from metal surfaces is discussed. The model employs the energy and angular distribution data derived from the Marlowe code. The model is applied to particles incident normally upon Cs, Ni, and Cs/Ni surfaces

  20. Uncertainty from Model Calibration: Applying a New Method to Transport Energy Demand Modelling

    NARCIS (Netherlands)

    Ruijven, B.; Van der Sluijs, J.P.; Van Vuuren, D.P.; Janssen, P.; Heuberger, P.S.C.; De Vries, B.

    2009-01-01

    Uncertainties in energy demand modelling originate from both limited understanding of the real-world system and a lack of data for model development, calibration and validation. These uncertainties allow for the development of different models, but also leave room for different calibrations of a sin

  1. Bottom-Up modeling, a tool for decision support for long-term policy on energy and environment - The TIMES model applied to the energy intensive industries

    International Nuclear Information System (INIS)

    Among the energy users in France and Europe, some industrial sectors are very important and should have a key role when assessing the final energy demand patterns in the future. The aim of our work is to apply a prospective model for the long range analysis of energy/technology choices in the industrial sector, focussing on the energy-intensive sectors. The modelling tool applied in this study is the TIMES model (family of best known MARKAL model). It is an economic linear programming model generator for local, national or multi regional energy systems, which provides a technology-rich basis for estimating energy dynamics over a long term, multi period time. We illustrate our work with nine energy-intensive industrial sectors: paper, steel, glass, cement, lime, tiles, brick, ceramics and plaster. It includes a detailed description of the processes involved in the production of industrial products, providing typical energy uses in each process step. In our analysis, we identified for each industry, several commercially available state-of-the-art technologies, characterized and chosen by the Model on the basis of cost effectiveness. Furthermore, we calculated potential energy savings, carbon dioxide emissions' reduction and we estimated the energy impact of a technological rupture. This work indicates that there still exists a significant potential for energy savings and carbon dioxide emissions' reduction in all industries. (author)

  2. Organic Production Business Model and the Concept of Corporate Social Responsibility

    OpenAIRE

    Arabska, Ekaterina; Terziev, Venelin

    2016-01-01

    The concept of corporate social responsibility (CSR) considering competitiveness and sustainability issues in contemporary globalizing world is closely linked to organic production being a production system applying holistic approaches in the overall management and production activities and assurance of the highest degree of conformability to sustainable use and preservation of resources. The paper examines the organic production as a business model corresponding to the spheres of CSR regardi...

  3. An Analysis of Research Production in Corpus Linguistics Applied to Translation

    OpenAIRE

    Candel-Mora, Miguel Ángel; Vargas Sierra, Chelo

    2013-01-01

    The aim of the paper is to analyze with data the consolidation of corpus methods in translation and to specify which issues are under research and the features that characterize these studies. To that end, different contributions to corpus linguistics research, teaching and practice of translation were compiled to build a sufficiently representative sample: 389 bibliographic records on corpus linguistics applied to translation. This study deals with the identification and analysis of differen...

  4. Towards a model for protein production rates

    CERN Document Server

    Dong, J J; Zia, R K P

    2007-01-01

    In the process of translation, ribosomes read the genetic code on an mRNA and assemble the corresponding polypeptide chain. The ribosomes perform discrete directed motion which is well modeled by a totally asymmetric simple exclusion process (TASEP) with open boundaries. Using Monte Carlo simulations and a simple mean-field theory, we discuss the effect of one or two ``bottlenecks'' (i.e., slow codons) on the production rate of the final protein. Confirming and extending previous work by Chou and Lakatos, we find that the location and spacing of the slow codons can affect the production rate quite dramatically. In particular, we observe a novel ``edge'' effect, i.e., an interaction of a single slow codon with the system boundary. We focus in detail on ribosome density profiles and provide a simple explanation for the length scale which controls the range of these interactions.

  5. Towards a Model for Protein Production Rates

    Science.gov (United States)

    Dong, J. J.; Schmittmann, B.; Zia, R. K. P.

    2007-07-01

    In the process of translation, ribosomes read the genetic code on an mRNA and assemble the corresponding polypeptide chain. The ribosomes perform discrete directed motion which is well modeled by a totally asymmetric simple exclusion process (TASEP) with open boundaries. Using Monte Carlo simulations and a simple mean-field theory, we discuss the effect of one or two "bottlenecks" (i.e., slow codons) on the production rate of the final protein. Confirming and extending previous work by Chou and Lakatos, we find that the location and spacing of the slow codons can affect the production rate quite dramatically. In particular, we observe a novel "edge" effect, i.e., an interaction of a single slow codon with the system boundary. We focus in detail on ribosome density profiles and provide a simple explanation for the length scale which controls the range of these interactions.

  6. Effect of foliar applied (Zn, Fe, Cu and Mn) in citrus production

    International Nuclear Information System (INIS)

    A study was conducted to evaluate the impact of micronutrients (Zn, Fe, Cu and Mn) on sweet orange (Citrus Sinensis L.), blood red var., on farmer's orchard at Khanpur, district Haripur, NWFP, during 2002-03. Micronutrients were applied in foliar sprays over the canopy of each tree. The main effects and interactions of Zinc sulphate (Zn), iron sulphate (Fe), Copper Sulphate (Cu) and Manganese Sulphate (Mn) were studied in factorial combinations. A basal dose of nitrogen, phosphorus and potassium was applied at the rate 1.5, 1 and 1 kg tree/sup -1/. Zn, Fe, Cu and Mn were applied alone and in various combinations at the rate 0.115, 0.057, 0.05 and 0.13 kg in 100 liters of water. Application of micronutrients significantly increased Zn, Fe, Cu and Mn concentrations in leaves, compared with control. Zn treatments significantly increased the yield, number of fruit and total sugar. Manganese treatments significantly increased the total soluble solids and reduced the acidity of fruit juice. Other quality parameters, including fruit size, percent peel, percent pulp, sugar as well as total soluble solids, were improved with the application of Zn, Fe, Cu and Mn. (author)

  7. Integrated modelling of crop production and nitrate leaching with the Daisy model

    DEFF Research Database (Denmark)

    Manevski, Kiril; Børgesen, Christen Duus; Li, Xiaoxin;

    2016-01-01

    An integrated modelling strategy was designed and applied to the Soil-Vegetation-Atmosphere Transfer model Daisy for simulation of crop production and nitrate leaching under pedo-climatic and agronomic environment different than that of model original parameterisation. The points of significance...... and caution in the strategy are: i) Model preparation should include field data in detail due to the high complexity of the soil and the crop processes simulated with process-based model, and should reflect the study objectives. Inclusion of interactions between parameters in a sensitivity analysis results...... in better account for impacts on outputs of measured variables. ii) Model evaluation on several independent data sets increases robustness, at least on coarser time scales such as month or year. It produces a valuable platform for adaptation of the model to new crops or for the improvement of the existing...

  8. Applying the RUSLE and the USLE-M on hillslopes where runoff production during an erosion event is spatially variable

    Science.gov (United States)

    Kinnell, P. I. A.

    2014-11-01

    The assumption that runoff is produced uniformly over the eroding area underlies the traditional use of Universal Soil Loss Equation (USLE) and the revised version of it, the RUSLE. However, although the application of the USLE/RUSLE to segments on one dimensional hillslopes and cells on two-dimensional hillslopes is based on the assumption that each segment or cell is spatially uniform, factors such as soil infiltration, and hence runoff production, may vary spatially between segments or cells. Results from equations that focus on taking account of spatially variable runoff when applying the USLE/RUSLE and the USLE-M, the modification of the USLE/RUSLE that replaces the EI30 index by the product of EI30 and the runoff ratio, in hillslopes during erosion events where runoff is not produced uniformly were compared on a hypothetical a 300 m long one-dimensional hillslope with a spatially uniform gradient. Results were produced for situations where all the hillslope was tilled bare fallow and where half of the hillslope was cropped with corn and half was tilled bare fallow. Given that the erosive stress within a segment or cell depends on the volume of surface water flowing through the segment or cell, soil loss can be expected to increase not only with distance from the point where runoff begins but also directly with runoff when it varies about the average for the slope containing the segment or cell. The latter effect was achieved when soil loss was predicted using the USLE-M but not when the USLE/RUSLE slope length factor for a segment using an effective upslope length that varies with the ratio of the upslope runoff coefficient and the runoff coefficient for the slope to the bottom of the segment or cell was used. The USLE-M also predicted deposition to occur in a segment containing corn when an area with tilled bare fallow soil existed immediately upslope of it because the USLE-M models erosion on runoff and soil loss plots as a transport limited system. In a

  9. Integrated modelling of nitrate loads to coastal waters and land rent applied to catchment-scale water management

    DEFF Research Database (Denmark)

    Refsgaard, A.; Jacobsen, T.; Jacobsen, Brian H.;

    2007-01-01

    intensive agricultural production and leakage of nitrate constitute a major pollution problem with respect groundwater aquifers (drinking water), fresh surface water systems (water quality of lakes) and coastal receiving waters (eutrophication). The case study presented illustrates an advanced modelling......The EU Water Framework Directive (WFD) requires an integrated approach to river basin management in order to meet environmental and ecological objectives. This paper presents concepts and full-scale application of an integrated modelling framework. The Ringkoebing Fjord basin is characterized by...... approach applied in river basin management. Point sources (e.g. sewage treatment plant discharges) and distributed diffuse sources (nitrate leakage) are included to provide a modelling tool capable of simulating pollution transport from source to recipient to analyse the effects of specific, localized...

  10. A Model of Multicultural Software Project Team Management applied in Requirements Engineering

    OpenAIRE

    Alkandari, Mohammad A.

    2012-01-01

    In todayâ s world of global software teams, managing members from multiple countries and cultures adds to an already complex mix of software productivity issues. While software team compositions have been researched based on tasks, personality, and role descriptions, few models exist to help software project managers reason about software teams with respect to culture. As more culturally diverse teams develop software products, software project managers need to manage teams based on cultural...

  11. Modelling the effects of the sterile insect technique applied to Eldana saccharina Walker in sugarcane

    Directory of Open Access Journals (Sweden)

    L Potgieter

    2012-12-01

    Full Text Available A mathematical model is formulated for the population dynamics of an Eldana saccharina Walker infestation of sugarcane under the influence of partially sterile released insects. The model describes the population growth of and interaction between normal and sterile E.saccharina moths in a temporally variable, but spatially homogeneous environment. The model consists of a deterministic system of difference equations subject to strictly positive initial data. The primary objective of this model is to determine suitable parameters in terms of which the above population growth and interaction may be quantified and according to which E.saccharina infestation levels and the associated sugarcane damage may be measured. Although many models have been formulated in the past describing the sterile insect technique, few of these models describe the technique for Lepidopteran species with more than one life stage and where F1-sterility is relevant. In addition, none of these models consider the technique when fully sterile females and partially sterile males are being released. The model formulated is also the first to describe the technique applied specifically to E.saccharina, and to consider the economic viability of applying the technique to this species. Pertinent decision support is provided to farm managers in terms of the best timing for releases, release ratios and release frequencies.

  12. Product-internal assembly functions: a novel micro-assembly concept applied to optical interconnects

    NARCIS (Netherlands)

    Henneken, V.A.

    2008-01-01

    In this project, the technical feasibility of a novel assembly concept was explored, in which microsystem-based self-assembly functionality is added to an existing product. The case considered is the accurate alignment of an optical fibre relative to a telecommunication laser source. In the most dem

  13. Buchner and Beyond: Arene Cyclopropanation as Applied to Natural Product Total Synthesis

    OpenAIRE

    Reisman, Sarah E.; Nani, Roger R.; Levin, Sergiy

    2011-01-01

    Buchner and Curtius first reported the cyclopropanation of arenes in 1885. Since the initial discovery, the Buchner reaction has been the subject of significant research by both physical and synthetic organic chemists. Described herein is a brief overview of the Buchner reaction and related arene cyclopropanation processes, with an emphasis on their application to natural product total synthesis.

  14. Developing engineering processes through integrated modelling of product and process

    OpenAIRE

    Nielsen, Jeppe Bjerrum; Hvam, Lars

    2012-01-01

    This article aims at developing an operational tool for integrated modelling of product assortments and engineering processes in companies making customer specific products. Integrating a product model in the design of engineering processes will provide a deeper understanding of the engineering activities as well as insight into how product features affect the engineering processes. The article suggests possible ways of integrating models of products with models of engineering processes. The ...

  15. Applying an integrated neuro-expert system model in a real-time alarm processing system

    Science.gov (United States)

    Khosla, Rajiv; Dillon, Tharam S.

    1993-03-01

    In this paper we propose an integrated model which is derived from the combination of a generic neuro-expert system model, an object model, and unix operating system process (UOSP) model. This integrated model reflects the strengths of both artificial neural nets (ANNs) and expert systems (ESs). A formalism of ES object, ANN object, UOSP object, and problem domain object is used for developing a set of generic data structures and methods. These generic data structures and methods help us to build heterogeneous ES-ANN objects with uniform communication interface. The integrated model is applied in a real-time alarm processing system for a non-trivial terminal power station. It is shown how features like hierarchical/distributed ES/ANN objects, inter process communication, and fast concurrent execution help to cope with real-time system constraints like, continuity, data variability, and fast response time.

  16. Generalized pricing formulas for stochastic volatility jump diffusion models applied to the exponential Vasicek model

    Science.gov (United States)

    Liang, L. Z. J.; Lemmens, D.; Tempere, J.

    2010-06-01

    Path integral techniques for the pricing of financial options are mostly based on models that can be recast in terms of a Fokker-Planck differential equation and that, consequently, neglect jumps and only describe drift and diffusion. We present a method to adapt formulas for both the path-integral propagators and the option prices themselves, so that jump processes are taken into account in conjunction with the usual drift and diffusion terms. In particular, we focus on stochastic volatility models, such as the exponential Vasicek model, and extend the pricing formulas and propagator of this model to incorporate jump diffusion with a given jump size distribution. This model is of importance to include non-Gaussian fluctuations beyond the Black-Scholes model, and moreover yields a lognormal distribution of the volatilities, in agreement with results from superstatistical analysis. The results obtained in the present formalism are checked with Monte Carlo simulations.

  17. Dilepton production with the SMASH model

    CERN Document Server

    Weil, Janus; Petersen, Hannah

    2016-01-01

    In this work the SMASH model is presented ("Simulating Many Accelerated Strongly-Interacting Hadrons"), a next-generation hadronic transport approach, which is designed to describe the non-equilibrium evolution of hadronic matter in heavy-ion collisions. We discuss first dilepton spectra obtained with SMASH in the few-GeV energy range of GSI/FAIR, where the dynamics of hadronic matter is dominated by the production and decay of various resonance states. In particular we show how electromagnetic transition form factors can emerge in a transport picture under the hypothesis of vector-meson dominance.

  18. Fast hadron production in parton model

    International Nuclear Information System (INIS)

    The problem of inclusive fast hadron production with small transverse momentum in the framework of the parton model is considered. It is shown that at the proper account for the parton momentum conservation law the fast hadron spectrum always reproduces valence quark distribution independently of a special choice for the recombination function. A recombination function, which takes into account quantum numbers of the produced hadron and short-range of partons in the rapidity space is proposed. There is no difference between functions for quark recombination of identical quark content. This fact is caused by neglecting the spin-spin interaction of quarks in hadrons

  19. Comparison among Models to Estimate the Shielding Effectiveness Applied to Conductive Textiles

    Directory of Open Access Journals (Sweden)

    Alberto Lopez

    2013-01-01

    Full Text Available The purpose of this paper is to present a comparison among two models and its measurement to calculate the shielding effectiveness of electromagnetic barriers, applying it to conductive textiles. Each one, models a conductive textile as either a (1 wire mesh screen or (2 compact material. Therefore, the objective is to perform an analysis of the models in order to determine which one is a better approximation for electromagnetic shielding fabrics. In order to provide results for the comparison, the shielding effectiveness of the sample has been measured by means of the standard ASTM D4935-99.

  20. Bayesian model selection applied to artificial neural networks used for water resources modeling

    Science.gov (United States)

    Kingston, Greer B.; Maier, Holger R.; Lambert, Martin F.

    2008-04-01

    Artificial neural networks (ANNs) have proven to be extremely valuable tools in the field of water resources engineering. However, one of the most difficult tasks in developing an ANN is determining the optimum level of complexity required to model a given problem, as there is no formal systematic model selection method. This paper presents a Bayesian model selection (BMS) method for ANNs that provides an objective approach for comparing models of varying complexity in order to select the most appropriate ANN structure. The approach uses Markov Chain Monte Carlo posterior simulations to estimate the evidence in favor of competing models and, in this study, three known methods for doing this are compared in terms of their suitability for being incorporated into the proposed BMS framework for ANNs. However, it is acknowledged that it can be particularly difficult to accurately estimate the evidence of ANN models. Therefore, the proposed BMS approach for ANNs incorporates a further check of the evidence results by inspecting the marginal posterior distributions of the hidden-to-output layer weights, which unambiguously indicate any redundancies in the hidden layer nodes. The fact that this check is available is one of the greatest advantages of the proposed approach over conventional model selection methods, which do not provide such a test and instead rely on the modeler's subjective choice of selection criterion. The advantages of a total Bayesian approach to ANN development, including training and model selection, are demonstrated on two synthetic and one real world water resources case study.