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University of Arkansas.
Full Text Available Rice bag monitoring data is common in modern agricultural applications. It consists of monitoring data generated when pressing a rice bag over a field to take soil samples for several different soil properties. Each time the rice bag is pressed, the soil samples are collected from the soil in the rice bag and sent to the lab for analysis. However, the values for each soil property are given as the mean or median of multiple samples collected at each time interval. In addition, missing samples are common and a statistical model is typically required for estimating these missing values. In this study, we take advantage of the multi-class latent SVM to model the rice bag data for soil-moisture content, soil total nitrogen, soil organic matter, and soil pH with only 5 soil samples of each type collected from the field over several time intervals. The SVM model is trained with the data of just one rice bag. Then, another rice bag is taken out of its storage and used to monitor the soil property values over time.
The SVM model is very flexible in its application and enables us to use different strategies for predicting the soil property values from the monitored data. We use the polynomial kernel for the SVM to see if it can accurately predict the future soil property data. We also use the univariate kernel and the bivariate kernel to see if it can accurately predict the soil property values during specific time intervals. These time intervals are determined based on the rice bag monitoring data. The predictions and estimated values can be considered as a method for determining when to harvest rice. The estimated values will be compared to actual values.
Technology for Potential Oil and Gas Reserves Detection in Sakhalin Island is Developed
Sakhalin Island, Russia, contains potential oil and gas reserves. The data analysis methods applied to the characterization of the hydrocarbon reserves should be considered from the point of view of their reliability. The parameters of oil and gas reservoirs, the conditions of oil and gas migration, are taken into account during the hydrocarbon reserves’ assessment. The expected volumes of oil and gas have been determined using several methods. The entire field is divided into domains, and the parameters of oil and gas reservoirs are determined at each domain. The zones and domains are considered as the units of the image transformation. These data are used as the basis for the construction of the classifier systems.
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LiqIT Free Download is a professional soil test application used for the execution of the necessary soil data input. In this case, the result obtained is strictly different from that of existing test programmes.
Liquefaction for soil engineering is a procedure applied in construction. This method was introduced in order to test the ground’s resilience when dealing with earth-shaking. AS earthquakes are responsible for countless victims and property damage around the world, conducting soil liquefaction tests becomes an important step in building development and construction.
LiqIT comes as a useful program that’s able to assess the soil under the effect of strong ground motion. The application accepts filed data input from different types of tests like Standard Penetration Test, Cone Penetration Test, and Vs measurements.
New projects can be created using test results for the processes listed above. For users who try to see what the app’s about or to familiarize themselves with it, three dummy projects reveal the app’s nooks and crannies.
As for its main features, LiqIT can determine liquefaction analysis methods, estimate vertical settlements induced by soil liquefaction, lateral displacements, overall liquefaction potential, etc.
This type of analysis can be employed in every part of the world, so in order to avoid creating confusion for users accustomed to a certain unit system, LiqIT can swap between the Imperial and Metric system at any time.
To conclude, LiqIt is a professional utility aimed towards individuals who either work in construction or architecture or anyone interested in this domain.
LiqIT Description:
LiqIt is a professional soil test application used for the execution of the necessary soil data input. In this case, the result obtained is strictly different from that of existing test programmes.
LiqIt is a professional soil test application used for the execution of the necessary soil data input. In this case, the result obtained is strictly different from that of existing test programmes.
Liquefaction for soil engineering is a procedure applied in construction. This method was introduced in order to test the ground’s resilience when dealing with earth-shaking. AS earthquakes are responsible for countless victims and property damage around the world, conducting soil liquefaction tests becomes an important step in building development and construction.
LiqIT comes as a useful program that’s able to assess the soil under the effect of strong ground motion. The application accepts filed data input from different types of tests like Standard Penetration Test, Cone Penetration Test, and
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LiqIT Activation Code With Keygen Latest
Available for all mobile platforms and desktop PC.
Add to your mobile device using the Google Play app store or the Apple iOS App store.
GPL Licensing
Redistribution of the program without prior written permission of the developer is prohibited.Q:
How to access property of a hidden field in the model from view
I’m new to asp.net MVC.
I have model, where the property is a hidden field:
public class Model
{
public object Property {get;set;}
}
and the view contains this hidden field:
@model Model
@using (Html.BeginForm())
{
@Html.Hidden(Model.Property.SomeProperty)
Submit
}
How can I access the SomeProperty property from the controller?
A:
One way to go is to use RenderAction instead of a @Html.Hidden.
Basically, you use a custom route to your controller to render the view. The route will pass through whatever parameters you would normally send to the default route and in your controller you can use the following to get the value.
public ActionResult MyAction(string prop)
{
var model = new Model() { Property = prop };
return View(model);
}
Then when you render the view, you use RenderAction
@model Model
@using (Html.BeginForm())
{
@Html.RenderAction(“MyAction”, “ControllerName”, new { prop = Model.Property });
}
Rendering the view will use the default route to get the prop value.
cmake_minimum_required(VERSION 2.8.9)
project(test_attribute_class_internal_interface)
# —————
# include directories and search paths
# —————
include_directories(BEFORE “../../include”)
include_directories(BEFORE “../../examples”)
include_directories(BEFORE “../”)
set(CMAKE_MODULE_PATH ${PROJECT_SOURCE
What’s New in the?
Main Features:
– Ability to run testing code for analysis in local or remote server
– Export data to SWA, SAAS, Pdf, and Excel
– Copying test/analysis results
– Supporting local/web-based file uploads
– Support for local and remote data files
– Support for plotting plotter/vector graphics files
– Support for displaying plotter/vector graphics directly on the page
– Ability to log all operations
– Transformed file report generation (excel)
– Ability to update user log history
– Ability to import/export share settings
– ability to set own share settings
– Support for Microsoft Excel 2013 and 2010
– Ability to upload Excel (XLS) files with tables
– Support for US Customary Units (USS)Synthesis and antimicrobial activity of 2,4,6-tri-O-methyl-5-O-beta-galactopyranosyl- and 2,4,6-tri-O-methyl-5-O-alpha-galactopyranosyl-1,3,4,6-tetra-O-acetyl-D-erythro-beta-D-talopyranosides.
2,4,6-Tri-O-methyl-5-O-beta-galactopyranosyl-1,3,4,6-tetra-O-acetyl-D-erythro-beta-D-talopyranoside [I] was synthesized by glycosylation of 2,4,6-tri-O-methyl-5-O-beta-galactopyranosyl-1,3,4,6-tetra-O-acetyl-D-erythro-beta-D-talopyranose with glycosyl acceptor F-4(6)-galactopyranosyl trichloroacetimidate (Scheme 1) and then O-deacetylation and degalactosylation. 2,4,6-Tri-O-methyl-5-O-alpha-galactopyranosyl-1,3,4,6-tetra-O-acetyl-D-erythro-beta-D-talopyranoside [VI] was synthesized in a similar manner. Both substances exhibited low antimicrobial activity.Sex and genital histocompatibility in man.
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System Requirements For LiqIT:
Minimum:
OS: Windows 7/8/10
Processor: Intel Pentium (4.0 GHz)
Memory: 1 GB RAM
Graphics: DirectX 11 compatible video card
Hard Drive: 8 GB free space
Recommended:
Processor: Intel Core i5 or AMD Phenom
Memory: 4 GB RAM
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