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Adaptive conventional power system stabilizer based on artificial neural network

An artificial neural network (ANN), trained as an inverse of the controlled plant, to function as a power system stabilizer (PSS) is presented in this paper. In order to make the proposed ANN PSS work properly, it was trained over the full working range of the generating unit with a large variety of disturbances. Data used to train the ANN PSS consists of the control input and the synchronous machine response with an adaptive PSS (APSS) controlling the generator. During training, the ANN was required to memorize the reverse input/output mapping of the synchronous machine. After the training, the output of the synchronous machine was applied as the input of the ANN PSS and the output of the ANN PSS was used as the control signal. Simulation results show that the proposed ANN PSS can provide good damping of the power system over a wide ...

1994-09-01

Scintillation converter screen investigation for real-time neutron radiography

This paper deals with an artificial neural network (ANN) based adaptive conventional power system stabilizer (PSS). The ANN comprises an input layer, a hidden layer and an output layer. The input vector to the ANN comprises real power (P) and reactive power (Q), while the output vector comprises optimum PSS parameters. A systematic approach for generating training set covering wide range of operating conditions, is presented. The ANN has been trained using back-propagation training algorithm. Investigations reveal that the dynamic performance of ANN based adaptive conventional PSS is quite insensitive to wide variations in loading conditions.

1995-12-31

Life Cycle Inventory Development for Waste Management Operations: Composting and Anaerobic Digestion.

(1980). United States Panhuise, VE Bull, SR Seydel, JA Univ of Missouri-

1980-11-21

Wastenet

Author: METCALFE, J.P., BALDWIN, D.J. and CRAYFORD, J.A. (2000). Summary: Project Report. ENVIRONMENT AGENCY. (Submitted).

Influence of JA-Me in biosynthesis of phospholipids in germinating yellow lupin (Lupinus luteus) seeds

Hydrogen induced damage in pickled and anodized Ti--6Al--4V alloy surfaces

English 2008 p. 216 Poland Zalewski, K. Nitkiewicz, B. Department of

2008-09-07

Estimation of Human Toxicity From Animal Inhalation Toxicity ...

(Sep 1974). United States Das, KB Marceau, JA Boeing Co., Seattle

Insect-Induced Conifer Defense. White Pine Weevil and Methyl Jasmonate Induce Traumatic Resinosis, de Novo Formed Volatile Emissions, and Accumulation of Terpenoid Synthase and Putative Octadecanoid Pathway Transcripts in Sitka Spruce1[w

... Bisgard, GE, Ruiz, AV, Grover, RF & Will, JA, "Ventilatory control in the ... Watkins, BE, Riegle, GD & Heisey, SR, "Respiratory responses to ACTH and ...

1997-10-01

UK PubMed Central (United Kingdom)

Stem-boring insects and methyl jasmonate (MeJA) are thought to induce similar complex chemical and anatomical defenses in conifers. To compare insect- and MeJA-induced terpenoid responses, we analyzed...Full Text Available

2005-01-01

Theoretical and experimental aspects of supervised learning in artificial neural networks

Effect of the size of an artificial neural network used as pattern identifier

The topic of supervised learning within the conceptual framework of artificial neural network (ANN) models is addressed. An ANN is a parallel distributed processing system that consists of many computationally simple processing elements interconnected through uni-directional weighted connections. Such networks, which are roughly patterned after biological nervous systems, have been proposed for use in areas in which the traditional von Neumann computer architecture has been relatively unsuccessful. Learning in these networks is accomplished through the use of algorithms that adjust the values of the connection weights. The work presented here addresses the issue of improving the rate at which ANNs can learn to achieve the mapping of an input pattern to a desired output pattern. The most successful learning algorithms for accomplishing this task are based on gradient descent error minimization techniques. However, the large ...

1989-01-01

An application of artificial neural networks in breast cancer recognition using scintimammography

A novel way to extract relevant parameters associated with the outgoing ions from nuclear reactions, obtained by digitizing the signals provided by a Bragg curve spectrometer (BCS) is presented. This allowed the implementation of a more thorough pulse-shape analysis. Due to the complexity of this task, it was required to take advantage of new and more powerful computational paradigms. This was fulfilled using a back-propagation artificial neural network (ANN) as a pattern identifier. Over training of ANNs is a common problem during the training stage. In the performance of the ANN there is a compromise between its size and the size of the training set. Here, this effect will be illustrated in relation to the problem of Bragg Curve (BC) identification. (Author)

2003-07-01

A self-tuning power system stabilizer based on artificial neural network

The aim of the study was to assess the usefulness of artificial neural networks (ANN) application in evaluation of scintimammography in the context of clinical data in the diagnosis of breast cancer. The results produced by ANN were compared with the diagnosis of two independent observers, nuclear medicine specialists. Material and methods: The clinical data and the numerical values derived from scintimammograms of 103 patients were the material for the study. The reference method was the result of histopathology study (core biopsy and /or FNB). Results: The overall sensitivity of physician diagnosis was 78% with specificity of 72%. The ANN produced 71% sensitivity and specificity of 73%. The physicians and ANN results were not significantly different (p=0.4619). Conclusions: Artificial neutral networks are useful tool in clinical diagnosis of breast cancer. (authors)

Application of artificial neural network methods for the lightning performance evaluation of Hellenic high voltage transmission lines

This paper presents a systematic approach for designing a self-tuning power system stabilizer (PSS) based on artificial neural network (ANN). An ANN is used for self-tuning the parameters of PSS in real-time. The nodes in the input layer of the ANN receive generator terminal active power (P), reactive power (Q), and voltage (V{sub t}), while the nodes in the output layer provide the optimum PSS parameters, e.g. stabilizing gain (K{sub STAB}), time constants (T{sub 1} and T{sub 2}). A new approach for the selection of number of neurons in the hidden layer has been proposed. Investigations reveal that the dynamic performance of the system with self-tuning PSS based on ANN (ST-ANNPSS) is quite robust over a wide range of loading conditions and equivalent reactance, X{sub e}. (Author)

2004-07-01

University of Colorado, Boulder University of Colorado Center for ...

Feed-forward (FF) artificial neural networks (ANN) and radial basis function (RBF) ANN methods were addressed for evaluating the lightning performance of high voltage transmission lines. Several structures, learning algorithms and transfer functions were tested in order to produce a model with the best generalizing ability. Actual input and output data, collected from operating Hellenic high voltage transmission lines, as well as simulated output data were used in the training, validation and testing process. The aims of the paper are to describe in detail and compare the proposed FF and RBF ANN models, to state their advantages and disadvantages and to present results obtained by their application on operating Hellenic transmission lines of 150kV and 400kV. The ANN results are also compared with results obtained using conventional methods and real records of outage rate showing a quite satisfactory ...

2007-01-15

Unbiased Transcriptional Comparisons of Generalist and Specialist Herbivores Feeding on Progressively Defenseless Nicotiana attenuata Plants

Summary of personnel, commitments, and costs ... Origin of complex land-based ecosystems (W. Friedman) ...... technology has brought about the birth of lab- ..... Baross, J.A. and S.E. Hoffman, Submarine hydrothermal vents and ...

UK PubMed Central (United Kingdom)

BackgroundHerbivore feeding elicits dramatic increases in defenses, most of which require jasmonate (JA) signaling, and against which specialist herbivores are thought to be better...Full Text Available

Transuranium-element-contaminated soil cleanup

Partial (focal) seizure: MedlinePlus Medical Encyclopedia

Johnston Atoll (JA) is a small (270-ha), but strategic, US possession in the Pacific Ocean, which was previously used in nuclear weapons testing. Nuclear devices were launched by missile for detonations at very high altitudes. In 1962, one missile failed on the launch pad and two failed overhead. The devices were destructed without nuclear yield, but transuranium (TRU) elements were dispersed. Cleanup was swift and incomplete. A 2-ha area was placed under radiological controls and restricted from use due to residual contamination. Planning was begun in 1983 for a total JA cleanup to provide additional (unrestricted) land to meet future requirements. A TRUe soil cleanup is programmed to begin at JA in 1988 utilizing a full-scale mining plant. The plant should be able to process all contaminated soil by 1992 and produce less than #approx# 2000 m"3 of concentrated waste. This cleanup will increase the amount of land available ...

1987-06-07

Glossary of Commercial and Trade Law Terms (Kaubandus-ja Ariseaduse Oskussonastik). English/Estonian - Estonian/English.

Academy of Neurology and the American Epilepsy Society. Neurology. 2007;69:1991-2007. Rubin DH, Kornblau DH, Conway Jr EE, et al. Neurologic Disorders. In: Marx, JA, ed. Rosen's...

2011-08-30

Effect of microstructure on the strength, toughness, and stress-corrosion cracking susceptibility of a metastable beta titanium alloy (Ti--11.5Mo--6Zr--4.5Sn)

The definitions provided in this bilingual glossary are intended to serve as indicative explanations of the defined words and phrases and not for purposes of interpreting any particular contract or international agreement. Approximately 100 terms appear w...

1995-01-01

The influence of different SPECT reconstruction algorithms on cardiac ischemia with the use artificial neural networks

(Dec 1970). United States Feeney, JA Boeing Co., Renton, Wash.

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

The aim of the study was the attempt to evaluate the influence of two different methods of cardiac perfusion SPECT reconstruction (FBP and ITW) on clinical efficacy in diagnosing the coronary artery disease as well as the cardiac ischemia detection in three areas of heart vascularized by main coronary arteries: LAD, LCX and RCA with the use of artificial neural networks (ANN). The study was performed retrospectively with the use of the diagnostic image records as well as clinical dataset of 43 patients. Myocardial perfusion stress/rest SPECT study and X-ray coronarography data were evaluated for each patient. The results of coronary angiography were considered the reference method. The cardiac SPECT data were reconstructed using the two different methods: filtered backprojection (FBP) and iterative Wallis method (ITW). The local perfusion deficits denominated in stress and rest study in three main vessel cardiac segments were the main input values for the ...

Analysis on Correlation between AE Parameters and Stress Intensity Factor using Principal Component Regression and Artificial Neural Network

The project aim is to model the hybrid plant at Vaesthamnsverket in Helsingborg using artificial neural networks (ANN) and integrating the ANN models, for online condition monitoring and thermoeconomic optimization, at Vaesthamnsverket. The definition of a hybrid plant is that it uses more than one fuel, in this case a natural gas fuelled gas turbine with heat recovery steam generator (HRSG) and a biomass fuelled steam boiler with steam turbine. The project is a continuation of previous projects where ANN training was done with operational data from the plant. The ANN models have, if required, been updated to better suit the purpose of this project. The thermoeconomic optimization takes into account current electricity prices, taxes, fuel prices etc. and calculates the current production cost along with the 'predicted' production cost. The tool also has a built in feature of predicting ...

2007-12-15

Prediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networks

The aim of this study is to develop the methodology which enables to identify the mechanical properties of element such as stress intensity factor by using the AE parameters. Considering the multivariate and nonlinear properties of AE parameters such as ringdown count, rise time, energy, event duration and peak amplitude from fatigue cracks of machine element the principal component regression(PCR) and artificial neural network(ANN) models for the estimation of stress intensity factor were developed and validated. The AE parameters were found to be very significant to estimate the stress intensity factor. Since the statistical values including correlation coefficients, standard mr of calibration, standard error of prediction and bias were stable, the PCR and ANN models for stress intensity factor were very robust. The performance of ANN model for unknown data of stress intensity factor was better than that of PCR model

2001-02-15

Measurements of single and double spin asymmetry in pp elastic scattering in the CNI region with a polarized atomic hydrogen gas jet target

The objective of this study is to develop an artificial neural network (ANN) model to predict the thermal conductivity of ethylene glycol-water solutions based on experimentally measured variables. The thermal conductivity of solutions at different concentrations and various temperatures was measured using the cylindrical cell method that physical properties of the solution are being determined fills the annular space between two concentric cylinders. During the experiment, heat flows in the radial direction outwards through the test liquid filled in the annual gap to cooling water. In the steady state, conduction inside the cell was described by the Fourier equation in cylindrical coordinates, with boundary conditions corresponding to heat transfer between the solution and cooling water. The performance of ANN was evaluated by a regression analysis between the predicted and the experimental values. The ANN predictions ...

2009-10-15

MSI Observation Overview Document Author - Ann Harch, Cornell ...

Precise measurements of the single spin asymmetry AN, and the double spin asymmetry ANN, in proton-proton (pp) elastic scattering in the region of four-momentum transfer squared 0.0012 have been performed using a polarized atomic hydrogen gas jet target and the Relativistic Heavy Ion Collider (RHIC) polarized proton beam. We present measurements of AN and ANN at center-of-mass energies ?(s)=6.8 and 13.7 GeV. These spin-dependent observables are sensitive to the poorly known hadronic spin-dependent amplitudes. Comparing AN at different energies, a ?(s) dependence of the hadronic single spin-flip amplitude is suggested. A hadronic double spin-flip amplitude from the ANN data is consistent with zero within a 2-? level. We also present ??T, estimated from the measured ANN data. The results for ??T are consistent with zero. Our results provide significant constraints toward a comprehensive understanding of ...

2009-05-01

Estimation of gross calorific value based on coal analysis using regression and artificial neural networks

Seq 1 was 8 images spaced 2sec apart, 999 ms man exp, filter 0. ... This region is the 2 sigma ellipsoid. This means, there was 90% chance that ... At this point the ellipse was fat and collapsed as we were still looking more or less ...

Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester

Relationships of ultimate and proximate analysis of 4540 US coal samples from 25 states with gross calorific value (GCV) have been investigated by regression and artificial neural networks (ANNs) methods. Three set of inputs: (a) volatile matter, ash and moisture (b) C, H, N, O, S and ash (c) C, H{sub exclusive} {sub of} {sub moisture}, N, O{sub exclusive} {sub of} {sub moisture}, S, moisture and ash were used for the prediction of GCV by regression and ANNs. The multivariable regression studies have shown that the model (c) is the most suitable estimator of GCV. Running of the best arranged ANNs structures for the models (a) to (c) and assessment of errors have shown that the ANNs are not better or much different from regression, as a common and understood technique, in the prediction of uncomplicated relationships between proximate and ultimate analysis and coal GCV. (author)

2009-07-01

UK PubMed Central (United Kingdom)

BackgroundWax esters are important ingredients in cosmetics, pharmaceuticals, lubricants and other chemical industries due to their excellent wetting property. Since the naturally...Full Text Available

Artificial neural network alarm method based on signal time-frequency characteristics

Optimisation of reactive dye removal by sequential electrocoagulation-flocculation method: comparing ANN and RSM prediction.

On the problem of alarm when parts are falling in nuclear power plant, the artificial neural network (ANN) alarm method based on the signal time-frequency characteristics was developed. The method was realized by the improved BP algorithm, and demonstrated with the data from simulation experiments

1998-06-01

Incremental learning for recognizing handwritten characters using neural networks

The removal of Reactive Black 5 dye in an aqueous solution by electrocoagulation (EC) as well as addition of flocculant was investigated. The effect of operational parameters, i.e. current density, treatment time, solution conductivity and polymer dosage, was investigated. Two models, namely the artificial neural network (ANN) and the response surface method (RSM), were used to model the effect of independent variables on percentage of dye removal. The findings of this work showed that current density, treatment time and dosage of polymer had the most significant effect on percentage of dye removal (p0.8). PMID:21411950

2011-01-01

Retracted:Effects of pro-inflammatory cytokines on mineralization potential of rat dental pulp stem cells

Artificial Neural Networks (ANNs) are parallel distributed processing machines. The unique characteristics of ANNs are: Fault tolerance, robustness, plasticity and generalization. These offer great potential in many AI applications such as character recognition. Handwritten character recognition is an intrinsically interesting problem, but the difficulties of this task are the many variations in the characters. A robust new incremental learning method, which combines supervised and unsupervised learning paradigms implemented by the Functional Link Net, is illustrated with experimental results. Clustering, based on unsupervised learning, classifies the input data into several categories. The supervised learning paradigm then further classifies the data in the clustered categories.

1989-01-01

British Library Electronic Table of Contents (United Kingdom)

Abstract The following article from the Journal of Tissue Engineering and Regenerative Medicine, -Effects of Pro-inflammatory Cytokines on Mineralization Potential of Rat Dental Pulp Stem Cells- by Yang X, Walboomers XF, Bian Z, Jansen JA, Fan M, published online on 11 July 2011 in Wiley Online Library (), has been retracted by agreement between the authors, the journal Editor-in-Chief, and John Wiley & Sons, Ltd. The retraction has been agreed due to two authors (Walboomers XF, and Jansen JA) not having been involved in the research described, nor made aware of their names being listed on the manuscript, nor told of its submission to the journal.

2011-01-01

tgz Document (18304k)

50 CFR 17.95 - Critical habitat-fish and wildlife.

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2011-02-17

Simultaneous prediction of coal rank parameters based on ultimate analysis using regression and artificial neural network

...Critical habitat units are depicted for Baldwin County, Alabama, on the maps below...paragraph (2) of this entry, over 2005 Baldwin County, Alabama color photography (UTM...ER30JA07.000(6) Unit 1: Fort Morgan, Baldwin County, Alabama.(i) General...

2010-10-01

Modeling of electricity consumption in the Asian gaming and tourism center - Macao SAR, People's Republic of China

Results from ultimate analysis, proximate and petrographic analyses of a wide range of Kentucky coal samples were used to predict coal rank parameters (vitrinite maximum reflectance (R{sub max}) and gross calorific value (GCV)) using multivariable regression and artificial neural network (ANN) methods. Volatile matter, carbon, total sulfur, hydrogen and oxygen were used to predict both R{sub max} and GCV by regression and ANN. Multivariable regression equations to predict R{sub max} and GCV showed R{sup 2} = 0.77 and 0.69, respectively. Results from the ANN method with a 2-5-4-2 arrangement that simultaneously predicts GCV and R{sub max} showed R{sup 2} values of 0.84 and 0.90, respectively, for an independent test data set. The artificial neural network method can be appropriately used to predict R{sub max} and GCV when regression results do not have high accuracy. (author)

2010-07-01

Power system stabilizer based on inverse dynamics using an artificial neural network

The use of electricity is indispensable to modern life. As Macao Special Administrative Region becomes a gaming and tourism center in Asia, modeling the consumption of electricity is critical to Macao's economic development. The purposes of this paper are to conduct an extensive literature review on modeling of electricity consumption, and to identify key climatic, demographic, economic and/or industrial factors that may affect the electricity consumption of a country/city. It was identified that the five factors, namely temperature, population, the number of tourists, hotel room occupancy and days per month, could be used to characterize Macao's monthly electricity consumption. Three selected approaches including multiple regression, artificial neural network (ANN) and wavelet ANN were used to derive mathematical models of the electricity consumption. The accuracy of these models was assessed by using the mean squared error ...

2008-05-15

High voltage transmission lines studies with the use of artificial intelligence

A stable power system stabilizer (PSS) based on the inverse dynamics of the controlled system using an artificial neural network (ANN) is suggested to enhance the dynamic performances of a power system. First, an output feedback control law is driven with some conditions satisfied, which guarantees the internal stability and robustness against the asymptotically stable external disturbances. Then the control law is implemented using the inverse dynamics of the controlled plant. The inverse dynamics of the controlled plant is identified by an ANN, inverse dynamics neural network (IDNN), off-line. The pole-shifting technique and a scaling factor are introduced for the control system to meet the conditions for internal stability and robustness. The proposed controller is applied to a typical single-machine infinite-bus power system. Simulation results under various operation conditions are given which show that the proposed controller damps the ...

1996-06-01

Fault diagnosis on bottle filling plant using genetic-based neural network

The paper presents an alternative approach for the studies of high voltage transmission lines based on artificial intelligence and more specifically artificial neural networks (ANNs). In contrast to the existing conventional-analytical techniques and simulations which are using in the calculations empirical and/or approximating equations, this approach is based only on actual field data and actual measurements. The proposed approach is applied on high voltage transmission lines in order to calculate the lightning outages, on grounding systems in order to assess the grounding resistance and on high voltage transmission lines' polluted insulators in order to estimate the critical flashover voltage. The obtained results are very close to the actual ones for all three case studies, something which clearly implies that the ANN approach is well working and has an acceptable accuracy, constituting an additional tool of electric engineers. ...

2009-12-15

British Library Electronic Table of Contents (United Kingdom)

Timely detection of the pneumatic system problems is important in industry. Many techniques have been employed to solve this problem. In this paper, Genetic Algorithm (GA) based optimal configuration of neural networks is proposed for fault diagnostic of bottle filling systems. Back-propagation is used for neural networks algorithm. The back-propagation algorithm had six inputs and one output. A fitness function was designed to the minimize execution time of ANN model by keeping the number of hidden layer(s) and nodes as low as possible while the mean square error of estimated output error is minimized. The designed GA-ANN combination and the graphical user interface (GUI) eliminate the trial and error process for selection of the fastest and most accurate configuration. The performance of...

2011-01-01

1991 ice jamming along the Saint John River: a case study

School of Earth and Environment

Field investigations of major and damaging ice jamming on the Saint John River at Dickey, Maine , and at Sainte-Anne de-Madawaska, New Brunswick, in 1991, were described. The investigations included measurement of water surface profiles and shear wall heights at both sites. The measurements were supplemented by information from local observers and data collection agencies. Using a simplified equilibrium analysis, ice jam thickness and water level at the Dickey site was found to be generally in agreement with observed values. At Sainte-Anne-de-Madawaska sufficient data was obtained to construct and calibrate the numerical model RIVJAM which determined the configuration of the jam in nonequilibrium reaches. Use of the model enabled the successful reproduction of a measured water profile along the jam and the prediction of the approximate thickness of the jam, which was generally less than the measured shear wall height. 14 refs., 11 figs.

1996-04-01

1 2 3 4

Wastenet

...Verheggen, B; Dommen, J; Duplissy, J; Prevot, AS; Weingartner, E; Riipinen, I; Kulmala, M; Spracklen, DV; Carslaw, KS; ...Carslaw, KS; Boucher, O; Spracklen, DV; Mann, GW; Rae, JGL; Woodward, S; Kulmala, M (2010) A review of natural aerosol interactions ...Pickering, S; Ogren, JA; Andrews, E; Baltensperger, U; Weingartner, E; Boy, M; Kulmala, M; Laakso, L; Lihavainen, H; ...Fastrup, B; Gagne, S; Hahn, F; Harrison, RG; Kellett, B; Kirkby, J; Kulmala, M; Laakso, L; Laaksonen, A; ...

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Neural net formulations for organically modified, hydrophobic silica aerogel

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An artificial neural network for directional comparison relaying of transmission lines

Organic modification of aerogel chemical formulations is known to transfer desirable hydrophobicity to lightweight solids. However, the effects of chemical modification on other material constants such as elasticity, compliance, and sound dampening present a difficult optimization problem. Here a statistical treatment of a 9-variable optimization is accomplished with multiple regression and an artificial neural network (ANN). The ANN shows 95 percent prediction success for the entire data set of elasticity, compared to a multidimensional linear regression which shows a maximum correlation coefficient, R=0.782. In this case, using the Number of Categories Criterion for the standard multiple regression, traditional statistical methods can distinguish fewer than 1.83 categories (high and low elasticity) and cannot group or cluster the data to give more refined partitions. A non-linear surface requires at least 3 categories (high, low, and medium ...

1997-07-01

A critical survey of experimental cross section data, comparison with nuclear model calculations and estimation of production yields of "7"7Br and "7"7Kr in no-carrier-added form via various nuclear processes

Distance protection, differential protection and directional comparison schemes are presently used for protecting transmission lines. Directional comparison relays are set to respond to faults in the protection zone without intentional time delay and are, therefore, used where high-speed fault clearing is needed. Artificial Neural Networks (ANNs) can handle most situations which cannot be defined sufficiently for finding a deterministic solution. The design and testing of an ANN for directional comparison protection of transmission lines are presented in this paper. Training patterns were generated using voltage and current samples for faults at various locations along a transmission line. The faults were simulated using an electromagnetic transient program and a sample three-phase power system. The performance of the proposed discriminator was checked using data simulated for testing and the fault data recorded from 240 kV and 500 kV lines. ...

1997-12-31

Prediction of coal grindability based on petrography, proximate and ultimate analysis using multiple regression and artificial neural network models

Experimentally investigated nuclear reactions for production of no-carrier-added "7"7Br and "7"7Kr were critically surveyed. The survey covered nine reactions for the formation of "7"7Br and six reactions for "7"7Kr. Both radionuclides are simultaneously produced in many of the studied nuclear processes. The experimental data were compared with the results of nuclear model calculations based on the computer code ALICE-IPPE and the third version of TALYS-based Evaluated Nuclear Data Library, TENDL-2010. Good agreement was found over extended energy regions for the p-, "3He- and #alpha#-particle induced reactions on several target materials. In case of d-induced reactions, however, considerable discrepancies were noted between the experimental and theoretical data. The concordant sets of experimental cross section data for each reaction were fitted by a polynomial function to obtain a trend curve. From the thus obtained trend curves the yields of both "7"7Br and ...

2011-05-15

Performance prediction of 20 kWp grid-connected photovoltaic plant at Trieste (Italy) using artificial neural network

The effects of proximate and ultimate analysis, maceral content, and coal rank (R{sub max}) for a wide range of Kentucky coal samples from calorific value of 4320 to 14960 (BTU/lb) (10.05 to 34.80 MJ/kg) on Hardgrove Grindability Index (HGI) have been investigated by multivariable regression and artificial neural network methods (ANN). The stepwise least square mathematical method shows that the relationship between (a) Moisture, ash, volatile matter, and total sulfur; (b) ln (total sulfur), hydrogen, ash, ln ((oxygen + nitrogen)/carbon) and moisture; (c) ln (exinite), semifusinite, micrinite, macrinite, resinite, and R{sub max} input sets with HGI in linear condition can achieve the correlation coefficients (R{sup 2}) of 0.77, 0.75, and 0.81, respectively. The ANN, which adequately recognized the characteristics of the coal samples, can predict HGI with correlation coefficients of 0.89, 0.89 and 0.95 respectively in testing process. It was ...

2008-01-15

Inspection procedure and essential parameters in NDT qualification; Tarkastusohje ja olennaiset muuttujat NDT-paetevoeinnissae

Growing of PV for electricity generation is one of the highest in the field of the renewable energies and this tendency is expected to continue in the next years. Due to the various seasonal, hourly and daily changes in climate, it is relatively difficult to find a suitable analytic model for predicting the performance of a grid-connected photovoltaic (GCPV) plant. In this paper, an artificial neural network is used for modelling and predicting the power produced by a 20 kWp GCPV plant installed on the roof top of the municipality of Trieste (latitude 45 deg. 40'N, longitude 13 deg. 46'E), Italy. An experimental database of climate (irradiance and air temperature) and electrical (power delivered to the grid) data from January 29th to May 25th 2009 has been used. Two ANN models have been developed and implemented on experimental climate and electrical data. The first one is a multivariate model based on the solar irradiance and the air temperature, while the second ...

2010-12-01

Training and information technology issue, 2005

The objective of the inspection qualification is to ensure that applied non-destructive methods (NDT) have the required performance. The approach of the qualification process is systematic and carefully documented and therefore some new requirements can be seen concerning the composition of the documentation. There are also new document types, that only application of the inspection qualification requires. The most important of these is the technical justification, that includes the documented evidences concerning the performance of the inspection system. This publication includes two reports: 'Compilation of the inspection procedure' and 'Essential/influential parameters in NDT qualification'. The former of these discusses the issues to be considered in an inspection procedure especially from the point of view of the mechanised ultrasonic testing. The later report explains the parameters formulated to analyse in the technical justification all ...

2000-06-01

Prediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networks

The focus of the May-June issue is on training and information technology. Major articles/reports in this issue include: Communicating effectively, by Alain Bucaille, AREVA; Reputation management, by Susan Brisset, Bruce Power; Contol room and HSI modernization guidance, by Joseph Naser, EPRI; How far are we from public acceptance, by Jennifer A. Biedscheid and Murthy Devarakonda, Washington TRU Solutions LLC; Spent fuel management options, by Brent W. Dixon and Steven J. Piet, Idaho National Laboratory; Industry Awards; A secure energy future for America, by George W. Bush, President, United States of America; Vision of the future of nuclear energy, by Anne Lauvergeon, AREVA; and, Plant profile: strategy for transition to digital, TXU Power.

2005-05-15

British Library Electronic Table of Contents (United Kingdom)

2009-01-01

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Wastenet

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Fault detection and diagnosis of a gearbox in marine propulsion systems using bispectrum analysis and artificial neural networks

British Library Electronic Table of Contents (United Kingdom)

A marine propulsion system is a very complicated system composed of many mechanical components. As a result, the vibration signal of a gearbox in the system is strongly coupled with the vibration signatures of other components including a diesel engine and main shaft. It is therefore imperative to assess the coupling effect on diagnostic reliability in the process of gear fault diagnosis. For this reason, a fault detection and diagnosis method based on bispectrum analysis and artificial neural networks (ANNs) was proposed for the gearbox with consideration given to the impact of the other components in marine propulsion systems. To monitor the gear conditions, the bispectrum analysis was first employed to detect gear faults. The amplitude-frequency plots containing gear characteristic sign...

2011-01-01

Artificial neural network modeling of physicochemical changes of shrimp during boiling

British Library Electronic Table of Contents (United Kingdom)

Frozen boiled shrimp and dried shrimp are among the high-value fishery products of Thailand. During the production of these products boiling is one of the most important steps that affects significantly the product physicochemical properties, especially the quantity and quality of proteins, which in turn affect other apparent properties perceived by consumers. The protein changes are, however, difficult to evaluate comparing to other typical physical properties of shrimp. The objective of this study was therefore to develop an artificial neural network (ANN) model to predict the protein changes of shrimp in terms of protein loss and protein denaturation as a function of the boiling conditions, namely, concentration of salt solution and boiling time, as well as a rather easily determined ch...

2012-01-01

Application of feedback connection artificial neural network to seismic data filtering

CERN Document Server

The Elman artificial neural network (ANN) (feedback connection) was used for seismic data filtering. The recurrent connection that characterizes this network offers the advantage of storing values from the previous time step to be used in the current time step. The proposed structure has the advantage of training simplicity by a back-propagation algorithm (steepest descent). Several trials were addressed on synthetic (with 10% and 50% of random and Gaussian noise) and real seismic data using respectively 10 to 30 neurons and a minimum of 60 neurons in the hidden layer. Both an iteration number up to 4000 and arrest criteria were used to obtain satisfactory performances. Application of such networks on real data shows that the filtered seismic section was efficient. Adequate cross-validation test is done to ensure the performance of network on new data sets.

2008-01-01

Analysis of cerebrospinal fluid from chronic fatigue syndrome patients for multiple human ubiquitous viruses and xenotropic murine leukemia-related virus

British Library Electronic Table of Contents (United Kingdom)

Abstract Recent reports showed many patients with chronic fatigue syndrome (CFS) harbor a retrovirus, xenotropic murine leukemia-related virus (XMRV), in blood; other studies could not replicate this finding. A useful next step would be to examine cerebrospinal fluid, because in some patients CFS is thought to be a brain disorder. Finding a microbe in the central nervous system would have greater significance than in blood because of the integrity of the blood-brain barrier. We examined cerebrospinal fluid from 43 CFS patients using polymerase chain reaction techniques, but did not find XMRV or multiple other common viruses, suggesting that exploration of other causes or pathogenetic mechanisms is warranted. Ann Neurol 2011;

2011-01-01

A neuro power system stabilizer based on adaptive control technique

Fault detection and diagnosis of a gearbox in marine propulsion systems using bispectrum analysis and artificial neural networks

A power system stabilizer based on GMV (Generalized Minimum Variance), one of the adaptive control techniques, is developed to enhance the dynamic performances of a power system using an Artificial Neural Network (ANN). The stabilizer consists of two parts. One part is Inverse Dynamics Neural Networks (IDNN), which is trained to identify the inverse dynamics of controlled plant and used as a one-step ahead controller, or inverse controller. The other part is Adaptive Reference Model (ARM), which prevents excessive controller output. The ARM produces the modified reference value by minimizing a cost function recursively on the assumption that the IDNN perfectly identifies the controlled plant. The IDNN is used in the minimization procedure to calculate the sensitivities. The proposed controller is simulated in a typical one-machine-infinite-bus power system to show its effectiveness to damp sustained low frequency oscillation. (author)

1996-12-31

Environmental management; La gestione ambientale

2011-03-01

Activation cross sections of deuteron-induced nuclear reactions on hafnium

Nowadays, unlike in the past, companies have to operate in a context of sustainable development, in which the economic and social development, production and consumption have to take into account the medium and long term impact on environment. The article sets forth some considerations about these subjects, which are assuming a growing importance in the management of companies: the variable environment may for instance be a factor of discrimination between being competitive or not. In order to characterise the context within which the environmental management has to be applied, some basic concepts about environmental management systems, Life Cycle Assessment, and Eco labeling are illustrated. As an example of application of the methodology described, a brief reference to the Italgas Group Environmental Report is given. [Italian] Oggi, a differenza del passato, le imprese si trovano ad operare in un contesto di sviluppo sostenibile, nel quale l'evoluzione economica e sociale, ...

2000-04-01

The management of wounds following primary lower limb arthroplasty: a prospective, randomised study comparing hydrofibre and central pad dressings

Experimental excitation functions for deuteron-induced reactions up to 20 MeV on high purity natural hafnium were measured with the activation method using a stacked foil irradiation technique. Metallic hafnium foils with thickness of 10 #mu#m were stacked together with 50 #mu#m thick aluminium and 12 #mu#m thick titanium foils. The aluminium foils served as energy absorber while the titanium foils were used to monitor the energy and intensity of the bombarding deuteron beam. From a detailed remeasurement of the complete excitation function of the "n"a"tTi(d,x)"4"8V monitor reaction it was possible to adopt the proper incident energy and beam intensity by comparing the results with the recommended values. High resolution off-line gamma-ray spectrometry was applied to assess the activity of each foil. From the measured activity independent and/or cumulative elemental or isotopic cross section data for production of Ta, Hf and Lu radioisotopes by (d,x) reactions were determined. No ...

2010-11-15

British Library Electronic Table of Contents (United Kingdom)

Abuzakuk T, Coward P, Shenava Y, Kumar VS, Skinner JA. The management of wounds following primary lower limb arthroplasty: a prospective, randomised study comparing hydrofibre and central pad dressings. Abstract Wound care following lower limb arthroplasty has not been subject to in-depth clinical research, primarily because such wounds usually heal without complication. However, when prosthetic implants are used, serious wound problems can be disastrous (Whitehouse et al. Infect Control Hosp Epidemiol 2002;23:183-9; Lindwell OM. Clin Orthop Relat Res 1986;211:91-103). We report the results of a prospective, randomised, controlled trial comparing a hydrofibre (Aquacel) and central pad (Mepore) dressing in the management of acute wounds following primary total hip or knee arthroplasty left ...

2006-01-01

1 2 3 4

The management of wounds following primary lower limb arthroplasty: a prospective, randomised study comparing hydrofibre and central pad dressings

British Library Electronic Table of Contents (United Kingdom)

Abuzakuk T, Coward P, Shenava Y, Kumar VS, Skinner JA. The management of wounds following primary lower limb arthroplasty: a prospective, randomised study comparing hydrofibre and central pad dressings. Pris en charge des plaies apres arthroplastie primaire du member inferieur: une etude randomisee prospective comparant hydrofibre et pansements central pad La prise en charge des plaies apres arthroplastie du member inferieur n'a pas fait l'objet de recherches approfondies, essentiellement car ces plaies cicatrisent habituellement sans complications. Cependant, lorsque des implants prothetiques sont utilizes, les serieux problemes de plaies peuvent devenir desastreux. Nous rapportons les resultants d'une etude prospective, randomisee, controlee comparant un hydrofibre et un pasnement centra...

2006-01-01

Phosphorus and nitrogen in the eutrophication of waters. Fosfori ja typpi vesien rehevoeittaejinae - vaikutusten arviointi

Optimization of Evolutionary Neural Networks Using Hybrid Learning Algorithms

This report is a summary of the contribution of nitrogen and phosphorus in the eutrophication process of inland and coastal waters. Special attention was paid to the mechanisms of these nutrients in regulating biological processes and to the methods available in estimating their effects in the eutrophication of water bodies. The report includes five chapters which are entitled: Introduction, which is a general background to the subject with special attention to the requirements of the Finnish Water Act. Phosphorus and nitrogen as factors regulating biological processes. The topics included are: definition of eutrophication, forms of phosphorus and nitrogen and their sources to inland and coastal waters, effects of these nutrients as growth factors of phytoplankton and macrophytes and consequences of eutrophication. Estimation of the effects of phosphorus and nitrogen. The topics discussed from the point of view of the tasks of the National Board of Waters and the Environment are: ...

1992-01-01

CERN Document Server

Evolutionary artificial neural networks (EANNs) refer to a special class of artificial neural networks (ANNs) in which evolution is another fundamental form of adaptation in addition to learning. Evolutionary algorithms are used to adapt the connection weights, network architecture and learning algorithms according to the problem environment. Even though evolutionary algorithms are well known as efficient global search algorithms, very often they miss the best local solutions in the complex solution space. In this paper, we propose a hybrid meta-heuristic learning approach combining evolutionary learning and local search methods (using 1st and 2nd order error information) to improve the learning and faster convergence obtained using a direct evolutionary approach. The proposed technique is tested on three different chaotic time series and the test results are compared with some popular neuro-fuzzy systems and a recently developed cutting angle method of global ...

2004-01-01

New options for simulating swivel momentum in car door hinges with neural networks. Neue Moeglichkeiten zur Simulation von Schwenkmomenten an Automobiltuerscharnieren mit Neuronalen Netzen

Development of the heated length to diameter correction factor on critical heat flux using the artificial neural networks

The generation of a defined swivel momentum in car door hinges depends on numerous constructional and technical manufacturing parameters. If these parameters and their influence are to be investigated, then in addition to detailed experiments with variations in the parameters, methods are also required which enable the measuring data produced to be assessed in such a way that, in general, the non-linear relationships between initial and target size can be described sufficiently accurately. This paper explains the parameter reduction necessary in the experimental investigation, gives the results of the data assessment with conventional statistical methods and describes in particular the use of artificial neural networks (ANN) to construct so-called 'neuro hinge models' on the basis of the data resulting from the experiments. Parameter variations can be simulated with the hinge models and in this way optimal constructional and technical ...

1999-04-01

Gunshot wounds to the head. Correlations between CT and clinical findings, neurosurgical treatment and long-term sequels; Traumi cranio-encefalici da proiettile: correlazione tra tomografia computerizzata, clinica, trattamento neurochirurgico e sequele a distanza

With using artificial neural networks (ANNs), an analytical study related to the heated length effect on critical heat flux (CHF) has been carried out to make an improvement of the CHF prediction accuracy based on local condition correlations or table. It has been carried out to suggest a feasible criterion of the threshold length-to-diameter (L/D) value in which heated length could affect CHF. And within the criterion, a L/D correction factor has been developed through conventional regression. In order to validate the developed L/D correction factor, CHF experiments for various heated lengths have been carried out under low and intermediate pressure conditions. The developed threshold L/D correlation provides a new feasible criterion of L/D threshold value. The developed correction factor gives a reasonable accuracy for the original database, showing the error of -2.18% for average and 27.75% for RMS, and promising results for new experimental data. 7 refs., 12 ...

1998-12-31

The socio-economic effects of the use of forest chips from logging residues and small-sized trees in energy production; case study; Pienpuuhakkeen ja hakkuutaehdehakkeen energiakaeytoen sosioekonomiset vaikutukset; case-tarkastelu -osaprojekti

With the aim of demonstrating the usefulness of computerised tomography (CT) findings in the planning of brain neurosurgery in gunshot victims, for prompt and successful treatment, 30 patients with brain gunshot wounds were examined with CT over 5 years. The mortality rate of firearm wounds of the skull base was 34% higher than that of the hemisphere; this is due to carotid hemorrhage and midbrain damage. Such traumas require emergency radiological diagnosis and neurosurgical treatment because of their severity and early irreversible complications. Complex operations and skilled surgeons may prevent disabling postoperative sequels. CT findings are indispensable and must be correctly interpreted. The radiologist and the neurosurgeon must collaborate closely and both must consider several diagnostic factors affecting surgical planning. [Italian] Scopo dello studio e' stato quello di dimostrare l'utilita' della semeiologia della tomografia computerizzata in ...

2000-03-01

Size and morphology of fine particle emissions from heavy-duty vehicles; Raskaan ajoneuvokannan hiukkaspaeaestoen koko ja morfologia - HD-PM

The aim of this case study is to analyse the socio-economic effects of forest fuel supply and use chains. Two of the four cases are rural district heating plants. In Perho, the co-operative organisation of forest owners maintains the fuel supply and operates the plant. In Ruukki, the local forestry association supplies forest chips to the plant. These medium-scale plants use small-sized trees from young thinning stands as their main fuel. The trees are felled manually. The other two cases are large power plants. Alholmens Kraft's new power plant in Pietarsaari aim to use 250 000 solid-m3 of forest chips annually. The logging residues are hauled to the plant as bales using traditional timber harvesting equipment or as bulk material. At young thinning stands the trees are harvested using an accumulating feller buncher. The Toppila I and II power plants in the city of Oulu used about 36 000 solid-m3 of forest chips. Over 300 000 solid-m3 can potentially be used. There are three ...

2003-07-01

Molar heat capacities for (2-methyl-2-butanol + heptane) mixtures and cyclopentanol at temperatures from (284 to 353) K

Exhaust fine and ultra fine particle numbers, particle sizes, mass, shape, structure and density were studied from Euro II - EEV emission level heavy-duty vehicles. For total particle emission factors city buses were run on dynamic conditions simulating city bus driving. The new heavy-duty chassis dynamometer of VTT was used. Vehicles were a comprehensive sample of current city bus fleet, the type approved emission level of which was Euro II - Euro III. Also cleaner engines of Euro IV to EEV targeted emission level were included: CRT, CNG, DPF. Particle emissions of these buses were extremely low; numbers 1/100 - 1/1000 and masses 1/10 - 1/100 of those of the predominating techniques. Morphological properties of fine particle populations that represent majority of particle size distribution (Da < 500 nm) are being analyzed by image processing (Matlab) from electron microscopical images (SEM, ESEM and TEM) as a function of particle size. Particles from different formation ...

2004-07-01

Integrated production of wood fuels and pulpwood using chain-flail delimbing-debarking technology; Puupolttoaineen ja selluhakkeen integroitu tuotanto ketjukarsinta-kuorintatekniikalla

Isobaric specific heat capacities were measured for (2-methyl-2-butanol + heptane) mixtures and cyclopentanol within the temperature range from (284 to 353) K, and for 2-methyl-2-butanol in the (284 to 368) K temperature interval by means of a differential scanning calorimeter. The excess molar heat capacities were calculated from the experimental results. For the temperature range from (284 to 287) K, the excess molar heat capacity is S-shaped with negative values in the 2-methyl-2-butanol rich region and with small negative values at low alcohol concentrations at temperatures from (295 to 353) K. The excess molar heat capacities are positive for all compositions under test at temperatures from (288 to 294) K. The results are explained in terms of the influence of the molecular size and configuration of the alkanols on their self-association capability and of the change in molecular structure of the (2-methyl-2-butanol + heptane) mixtures. The differences between the temperature ...

2009-03-01

Decision making information systems and data base management; Applicazioni dei sistemi di supporto alle decisioni manageriali in un ente fortemente decentrato. Sviluppo di un prototipo per la valutazione di nuovi progetti

The objective of the research was to develop a procurement method for small-diameter pulpwood based on chain-flail delimbing-debarking method. The study consisted of four parts: Development of the chain-flail delimbing-debarking method (based on Peterson Pacific DDC 5000 device); Combined chain-flail delimbing and drum-debarking; Processing and procurement of the chain-flail delimbing chips and; Intensifying of the timber debarking in chain-flail delimbing. The project was coordinated by Metsaeteho, and it was carried out as cooperation between Metsaeteho, the Finnish Forest Research Institute (METLA), VTT Energy, Pertti Szepaniak Oy and Enso-Gutzeit Oy. A calculation model, by which it is possible to determine the costs of pulpwood chips and fuel-rawmaterials formed beside the pulpwood chips while using different kinds of procurement methods and chains, was developed for chain-flail delimbing-debarking-chipping method based on utilization of Peterson Pacific device. By the model it is ...

1996-12-31

Banks, environment and sustainable development. EMAS regulation n. 761/2001/EC applied to the financial institutions; Banche, ambiente e sviluppo sostenibile l'adesione degli istituti finanziari al regolamento EMAS

In these years Information Technology has been used in activities that require an intelligent intervention. In this context take placing Decision Support Systems, since they use Information Technology to support users in decision processes, that is problems of logical level greater then problems normally treated by traditional information systems. The purpose of this work is to describe Decision Support Systems specifying what they are, their functionally and structure, identifying, furthermore, user types referred to and interaction modality between them; and to present a prototype of these systems. From a preliminary analyses phase of ENEA being and its Information Systems to understand which topics can be supported by systems of this type, it deals with one of these topics: weighing of new project, finding parameters, or key quantity, that affect and determine decisions. It describes, then, models, conceived form parameters, that permit to the user, through a simple representation ...

1997-01-01

Fluoroscopic tumor tracking for image-guided lung cancer radiotherapy

The purpose of this work is to characterize the role of the financial institutions in achieving sustainable development meaning a process of development which leaves at least the same amount of capital, natural and man-made, to future generations as current generations have access to. This makes it clear that sustainable development is about capital allocation and thus should be at the core of financial markets activity. On a more practical level the different ways banks affect environment are analyzed: as investors - supplying the investments with environmental perspective; as lenders - developing new financial products to encourage sustainable development; as valuers - estimating risks and opportunities in project-financing; as powerful stake holders - as shareholders and lenders they can exercise considerable influence over companies; - as polluters - while not dirty industries, financial institutions do consume natural resources. By the study of these environmental aspects it comes ...

2001-07-01

A study of the importance of occupancy to building cooling load in prediction by intelligent approach

Accurate lung tumor tracking in real time is a keystone to image-guided radiotherapy of lung cancers. Existing lung tumor tracking approaches can be roughly grouped into three categories: (1) deriving tumor position from external surrogates; (2) tracking implanted fiducial markers fluoroscopically or electromagnetically; (3) fluoroscopically tracking lung tumor without implanted fiducial markers. The first approach suffers from insufficient accuracy, while the second may not be widely accepted due to the risk of pneumothorax. Previous studies in fluoroscopic markerless tracking are mainly based on template matching methods, which may fail when the tumor boundary is unclear in fluoroscopic images. In this paper we propose a novel markerless tumor tracking algorithm, which employs the correlation between the tumor position and surrogate anatomic features in the image. The positions of the surrogate features are not directly tracked; instead, we use principal component analysis of regions ...

2009-02-21

Size and morphology of heavy-duty vehicle particle emissions; Raskaan ajoneuvokannan hiukkaspaeaestoen koko ja morfologia - HD-PM

Research highlights: #-># The building occupancy affecting the cooling load prediction is studied. #-># PENN model is adopted in this study for predicting the building cooling load. #-># Statistical approach is adopted to result a less prejudice prediction performance. #-># Results show that occupancy data can significantly improve the prediction. -- Abstract: Building cooling load prediction is one of the key factors in the success of energy-saving measures. Many computational models available in the industry today have been developed from either forward or inverse modeling approaches. However, most of these models require extensive computer resources and involve lengthy computation. This paper discusses the use of data-driven intelligent approaches, a probabilistic entropy-based neural (PENN) model to predict the cooling load of a building. Although it is common knowledge that the presence and activity of building occupants have a significant impact on the required ...

2011-07-01

The law aspects of biotechnology patenting. The living source between discovery and invention; Aspetti giuridici del brevetto biotecnologico. La materia vivente tra scoperta e invenzione

Formation of particles from heavy duty diesel and CNG vehicles was studied in laboratory conditions. PM, nano and soot mode particle emissions formed from buses of Euro 2-5 -emission levels were studied in relation to age and type approval characteristics of the vehicle. Characteristic particle emission factors from city driving were obtained by driving the buses on VTT's heavy duty chassis dynamometer applying the transient Braunschweig city cycle. The vehicles were a representative set of Euro 2 to 3 emission categories, supplemented with Euro 4-5 (EEV) -targeted CRT, CNG and DPF cars. Particle number emissions from Euro 4 to 5 buses were 1/100-1/1000 and mass emissions 1/10-1/100 of those of the current fleet. Particle emission from natural gas buses and after an advanced CRT trap contained almost entirely liquid < 60 nm nano particles, which will make filter mass based PM control very challenging in the near future. One result was that gravimetric PM emission could ...

2006-10-15

Computed Tomography of the diabetic kidney; La Tomografia Computerizzata nello studio del rene diabetico

The aim of this work is to provide a comprehensive and consistent description of the complexity of laws regulating the field of biotechnology, mainly focusing on the definition of items to be patented, which is one of the most important and also controversial issues within the new 98/44/EC set of rules. As biotechnology is a specialist and multidisciplinary field, it has begun by giving a general description of the field, outlining the grounds for the new rules, and then thoroughly examined and evaluated previous national and international laws especially with regard to patenting. This was followed by an evaluation of what can be patented according to the new instructions by systematically assessing the section defining items to be patented in the field of biotechnology. It is used to be a matter of opinion whether biotechnological material was to be considered a discovery or an invention, the former being impatentable according to patenting laws. The new law pays particular attention ...

2001-07-01

Information Manpower Forecasting. Papers Presented at the FID/ET Seminar (Espoo, Finland, August 24-27, 1988).

The purpose of this work is to investigate whether any morphometric or densitometric are detectable in the kidneys of type 2 diabetic patients. 40 diabetic patients were examined and of 20 non-diabetics (the control group) were submitted to triphasic helical CT for different abdominal conditions. The type 2 diabetic patients were 23 men and 17 women, mean age 62 years, while the nondiabetic controls were 12 men and 8 women, mean age 58 years. All the CT images were analyzed using the Multiplanar Reconstruction (MPR) software. It was evaluated morphometric features, such as the presence of parenchymal or vascular calcifications, axial and coronal renal diameters, coronal renal area, and cortico medullary ratio, and densitometric and functional features, such as unenhanced renal density, cortical and medullary density in the arterial phase, parenchymal density in the nephrographic phase, and contrast elimination. It was also compared the results in the subgroups of patients with those in ...

2000-02-01

CT in the study of thoracic-pulmonary complications after liver transplantation; La Tomografia Computerizzata nello studio delle complicanze toraco-polmonari dopo trapianto del fegato

This collection contains 20 papers written by educators, administrators and information scientists who had conducted manpower surveys in the library and information fields: (1) "Background and Evolution of Educational Planning and Forecasting for Information Manpower" (Yves Courrier); (2) "Indicators for the Emerging Information Market" (Nick Moore); (3) "Information Scientists in the English-Speaking Caribbean: Challenges and Responses in the Development Process" (Gloria Greene, Reive Robb); (4) "National Survey on Manpower in Libraries, Information Centres and Archives in Thailand" (Suwakhon Phadungath); (5) "Predicting the Future: Manpower Forecasting for the Library and Information Professions in Southern Africa" (J. R. Neill, D. M. Mbaakanyi); (6) "Problems in Forecasting Manpower Needs" (Monique Jucquois-Delpierre); (7) "Electronic Measures for Human Resource Research" (Anthony Debons, Mariano Maura-Sardo, Anne Thompson); (8) "The Intersection of ...

1990-12-01