scholarly journals Investigation of fungicidal activity of biocides by method of direct contact with test cultures

2018 ◽  
Vol 251 ◽  
pp. 01018 ◽  
Author(s):  
Valeriya Strokova ◽  
Viktoriya Nelyubova ◽  
Marina Rykunova
Keyword(s):  
Direct Contact ◽  
Large Scale ◽  
Fungicidal Activity ◽  
Cost Savings ◽  
Full Scale ◽  
Operating Conditions ◽  
Express Method ◽  
Test Cultures ◽  
Full Scale Testing

The article substantiates the possibility of using the method of direct contact with test cultures as an express method for assessing the quality of biocidal substances. This technique allows to test soluble biocidal preparations, while reducing the time of biocide selection, which eliminates the need for large-scale full-scale testing of structures under real operating conditions, providing cost savings.

Experimental Measurements and Computational Solutions for Aerodynamic Forces on an Ahmed Body at Various Ground Clearances

2003 ◽  
Author(s):  
Ilhan Bayraktar ◽  
Drew Landman ◽  
Tuba Bayraktar
Keyword(s):  
Large Scale ◽  
Bluff Body ◽  
Ground Plane ◽  
Computational Simulation ◽  
Simulation Method ◽  
Full Scale ◽  
Operating Conditions ◽  
Navier Stokes ◽  
Ground Clearance ◽  
Ahmed Body

Reliable computer solutions to external aerodynamic flow fields on road vehicles are extremely desirable to road vehicle designers. In a previous publication a study was performed to validate a Reynolds-averaged unsteady Navier-stokes solution for the aerodynamic characterization of a large-scale bluff body. In the present study, the external aerodynamics of this body as a function of ground clearance are explored. Experimental force measurements are obtained in a full-scale wind tunnel using an Ahmed body model and test conditions representative of full-scale operating conditions. A Reynolds averaged Navier-Stokes solver is employed for computational simulation of the external flowfield at the same conditions. Experimental and computational force coefficients versus vehicle ground clearance are presented for fixed ground, moving ground, and suction slot road simulations. Experimental results using boundary layer suction are compared to computational results with a moving ground plane in order to better understand the effect of a road simulation method.

An Efficient Algorithm for Measurement and Comparison of Large-Scale Hull Pieces in the Line-Heating Process

2004 ◽  
Vol 20 (01) ◽  
pp. 60-67
Author(s):  
Jong Gye Shin ◽  
Jong-Moo Lee ◽  
Jong-Ho Nam
Keyword(s):  
Manufacturing Process ◽  
Efficient Algorithm ◽  
Large Scale ◽  
Full Scale ◽  
Heating Process ◽  
Control Software ◽  
Comparison System ◽  
Human Errors ◽  
New Approach

When a curved plate is subject to deformation during the forming operation in the shipbuilding process, the deformed shape is repeatedly measured and compared to the designed shape. Because there are a number of large curved plates of different sizes and shapes, efficient measuring and comparison processes are essential to examine the quality of deformed plates rapidly and accurately, and consequently to enhance productivity in the whole manufacturing process. Currently, deformed plates are measured and examined using traditional templates. This practice is not only time-consuming but prone to human errors. Therefore, a new approach to streamlining the measurement and comparison processes needs to be proposed. In this paper, an efficient algorithm for the measurement and comparison of curved plates is introduced. A full-scale measurement machine with its control software is constructed, and an algorithm for the comparison system is implemented. The integrated algorithm is verified with many curved pieces of different sizes and shapes.

Increased Molybdenum Loading for Vitrified High Level Waste

2014 ◽  
Vol 1665 ◽  
pp. 253-259
Author(s):  
Nick R. Gribble ◽  
Rick J Short ◽  
Barbara F. Dunnett ◽  
Carl J. Steele
Keyword(s):  
Solubility Limit ◽  
Full Scale ◽  
High Level Waste ◽  
Borosilicate Glasses ◽  
Highly Active ◽  
New Formulation ◽  
The Uk ◽  
High Level ◽  
Full Scale Testing

ABSTRACTThe solubility of molybdenum in borosilicate glasses is low. The UK National Nuclear Laboratory has developed a new glass formulation containing calcium and zinc for the vitrification of high molybdenum containing waste arising from the Post Operational Clean Out of the Highly Active Storage Tanks at Sellafield that will decrease the number of product containers required, reducing both production and disposal costs. The new formulation increases the quantity of molybdenum that can be vitrified through the formation of a durable CaMoO4 phase once the solubility limit of molybdenum in the glass has been exceeded. Extensive laboratory trials confirmed the potential to increase the Mo loading significantly. Recently full scale testing has been performed on the Vitrification Test Rig using highly active liquor simulants to determine the maximum MoO3 loading that can be achieved. This paper explores the full scale testing and product quality of the glass manufactured during this study.

Simulating the effect of blanket characteristics on the floc blanket clarification process

1997 ◽  
Vol 36 (4) ◽  
pp. 77-84 ◽  
Author(s):  
Richard Head ◽  
Jem Hart ◽  
Nigel Graham
Keyword(s):  
Mathematical Model ◽  
Water Treatment ◽  
Full Scale ◽  
Operating Conditions ◽  
Treated Water ◽  
Treatment Conditions ◽  
Model Predictions

Previous attempts at simulating the floc blanket clarification process have failed to predict adequately the performance of ‘real’ tanks on water treatment works over a range of treatment conditions. In this paper, a mathematical model of the floc blanket clarification process is presented. This model has been used to simulate the performance of a flat-bottomed clarifier operating on a full-scale water treatment works. The model predictions have been compared with data obtained from the treatment works, and the model has been shown to perform well. The model has then been used to simulate the effects of changes in the operating conditions of the clarifier on the concentration of the blanket in the clarifier and the quality of the treated water. The importance and potential uses of a model of the process at a treatment works are discussed.

scholarly journals Sensitivity analysys and potential evaluation using building thermal mass combined with DSM strategies

2019 ◽  
Vol 111 ◽  
pp. 06029
Author(s):  
MCarmen Pavón ◽  
José Sánchez ◽  
MCarmen Guerrero ◽  
JLuis Molina ◽  
Servando Álvarez
Keyword(s):  
Thermal Comfort ◽  
Heat Pump ◽  
User Behavior ◽  
Cost Savings ◽  
Operating Conditions ◽  
Thermal Mass ◽  
Peak Loads ◽  
Potential Evaluation ◽  
The Cost

The objective of the work is to develop an algorithm that automatically manages the activation of the heat pump in response to the most appropriate strategies according to the pricing and operating conditions. It is interesting to see if a balance can be reached between the cost savings, the increase in energy consumed, the thermal comfort of the occupants and the contribution to the reduction of the peak loads. The study shows different results and conclusions, highlighting the important influence of various factors on the results obtained, such as user behavior, constructive quality of the building and electric pricing. Connection with a future renewable production can maximize the economic savings; it is interesting the use of buildings as thermal storage of unused photovoltaic surplus. Finally, the possibility of combining these measures with electrical storage and with the possible arbitration linked to renewable production.

scholarly journals Using Soft Sensors as a Basis of an Innovative Architecture for Operation Planning and Quality Evaluation in Agricultural Sprayers

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1269
Author(s):  
Elmer A. G. Peñaloza ◽  
Vilma A. Oliveira ◽  
Paulo E. Cruvinel
Keyword(s):  
Large Scale ◽  
Principal Component ◽  
Soft Sensor ◽  
Operating Conditions ◽  
K Nearest Neighbor ◽  
Pesticide Application ◽  
Soft Sensors ◽  
Agricultural Pesticides ◽  
Pcr Method

One of the major problems facing humanity in the coming decades is the production of food on a large scale. The production of large quantities of food must be conducted in a sustainable and responsible manner for nature and humans. In this sense, the appropriate application of agricultural pesticides plays a fundamental role since pesticide application in a qualified manner reduces human and environmental risks as well as the costs of food production. Evaluation of the quality of application using sprayers is an important issue, and several quality descriptors related to the average diameter and distribution of droplets are used. This paper describes the construction of a data-driven soft sensor using the parametric principal component regression (PCR) method based on principal component analysis (PCA), which works in two configurations: with the input being the operating conditions of the agricultural boom sprayers and its outputs being the prediction of the quality descriptors of spraying, and vice versa. The soft sensor provides, in one configuration, estimates of the quality of pesticide application at a certain time and, in the other, estimates of the appropriate sprayer-operating conditions, which can be used for control and optimization of the processes in pesticide application. Full cone nozzles are used to illustrate a practical application as well as to validate the usefulness of the soft sensor designed with the PCR method. The selection of historical data, exploration, and filtering of data, and the structure and validation of the soft sensor are presented. For comparison purposes, the results with the well-known nonparametric k-Nearest Neighbor (k−NN) regression method are presented. The results of this research reveal the usefulness of soft sensors in the application of agricultural pesticides and as a knowledge base to assist in agricultural decision-making.

Assessment of quality of life in patients with the effects of transient ischemic stroke

2016 ◽  
pp. 37-39
Author(s):  
A. Babirad
Keyword(s):  
Quality Of Life ◽  
Ischemic Stroke ◽  
Large Scale ◽  
Cerebrovascular Diseases ◽  
Control Measures ◽  
Sociological Research ◽  
Cerebrovascular Events ◽  
Sf 36 ◽  
Angioplasty And Stenting

Cerebrovascular diseases are a problem of the world today, and according to the forecast, the problem of the near future arises. The main risk factors for the development of ischemic disorders of the cerebral circulation include oblique and aging, arterial hypertension, smoking, diabetes mellitus and heart disease. An effective strategy for the prevention of cerebrovascular events is based on the implementation of large-scale risk control measures, including the use of antiagregant and anticoagulant therapy, invasive interventions such as atheromectomy, angioplasty and stenting. In this connection, the efforts of neurologists, cardiologists, angiosurgery, endocrinologists and other specialists are the basis for achieving an acceptable clinical outcome. A review of the SF-36 method for assessing the quality of life in patients with the effects of transient ischemic stroke is presented. The assessment of quality of life is recognized in world medical practice and research, an indicator that is also used to assess the quality of the health system and in general sociological research.

Adsorption Isotherm Predictions for Multiple Molecules in MOFs Using the Same Deep Learning Model

2019 ◽  
Author(s):  
Ryther Anderson ◽  
Achay Biong ◽  
Diego Gómez-Gualdrón
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Molecular Simulation ◽  
Large Scale ◽  
Learning Model ◽  
Operating Conditions ◽  
Small Subset ◽  
Screening Methods ◽  
Large Set ◽  
Metal Organic

<div>Tailoring the structure and chemistry of metal-organic frameworks (MOFs) enables the manipulation of their adsorption properties to suit specific energy and environmental applications. As there are millions of possible MOFs (with tens of thousands already synthesized), molecular simulation, such as grand canonical Monte Carlo (GCMC), has frequently been used to rapidly evaluate the adsorption performance of a large set of MOFs. This allows subsequent experiments to focus only on a small subset of the most promising MOFs. In many instances, however, even molecular simulation becomes prohibitively time consuming, underscoring the need for alternative screening methods, such as machine learning, to precede molecular simulation efforts. In this study, as a proof of concept, we trained a neural network as the first example of a machine learning model capable of predicting full adsorption isotherms of different molecules not included in the training of the model. To achieve this, we trained our neural network only on alchemical species, represented only by their geometry and force field parameters, and used this neural network to predict the loadings of real adsorbates. We focused on predicting room temperature adsorption of small (one- and two-atom) molecules relevant to chemical separations. Namely, argon, krypton, xenon, methane, ethane, and nitrogen. However, we also observed surprisingly promising predictions for more complex molecules, whose properties are outside the range spanned by the alchemical adsorbates. Prediction accuracies suitable for large-scale screening were achieved using simple MOF (e.g. geometric properties and chemical moieties), and adsorbate (e.g. forcefield parameters and geometry) descriptors. Our results illustrate a new philosophy of training that opens the path towards development of machine learning models that can predict the adsorption loading of any new adsorbate at any new operating conditions in any new MOF.</div>

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

2018 ◽  
pp. 45-51
Author(s):  
A. V. Ponomarev
Keyword(s):  
Large Scale ◽  
Wide Spectrum ◽  
Preference Relation ◽  
Pairwise Comparison ◽  
Ground Truth ◽  
Comparison Method ◽  
Characteristic Matrix ◽  
Image Tagging ◽  
Proposed Model

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 

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