scholarly journals FY18 L2 Milestone #6360 Report: Initial Capability of an Arm-based Advanced Architecture Prototype System and Software Environment.

2018 ◽  
Author(s):  
Laros, James H., ◽  
Kevin Pedretti ◽  
Simon David Hammond ◽  
Michael J. Aguilar ◽  
Matthew Leon Curry ◽  
...  
Keyword(s):  
Prototype System ◽  
Software Environment

FY18 L2 Milestone #8759 Report: Vanguard Astra and ATSE ? an ARM-based Advanced Architecture Prototype System and Software Environment.

2018 ◽  
Author(s):  
Laros, James H., ◽  
Kevin Pedretti ◽  
Simon David Hammond ◽  
Michael J. Aguilar ◽  
Matthew Leon Curry ◽  
...  
Keyword(s):  
Prototype System ◽  
Software Environment

Explanatory Power for Medical Expert Systems: Studies in the Representation of Causal Relationships for Clinical Consultations

1982 ◽  
Vol 21 (03) ◽  
pp. 127-136 ◽  
Author(s):  
J. W. Wallis ◽  
E. H. Shortliffe
Keyword(s):  
Explanatory Power ◽  
Prototype System ◽  
Inference Rules ◽  
Medical Expert ◽  
Comprehensive Knowledge ◽  
Different Types ◽  
Medical Expert Systems ◽  
Explanation System ◽  
Systems Studies

This paper reports on experiments designed to identify and implement mechanisms for enhancing the explanation capabilities of reasoning programs for medical consultation. The goals of an explanation system are discussed, as is the additional knowledge needed to meet these goals in a medical domain. We have focussed on the generation of explanations that are appropriate for different types of system users. This task requires a knowledge of what is complex and what is important; it is further strengthened by a classification of the associations or causal mechanisms inherent in the inference rules. A causal representation can also be used to aid in refining a comprehensive knowledge base so that the reasoning and explanations are more adequate. We describe a prototype system which reasons from causal inference rules and generates explanations that are appropriate for the user.

INFORMATION STRUCTURING FOR SOLVING TASKS IN SPREADSHEET ENVIRONMENT

2019 ◽  
pp. 42-46
Author(s):  
A. A. Nedbaylov
Keyword(s):  
Programming Languages ◽  
Engineering Students ◽  
Electronic Information ◽  
User Friendliness ◽  
Software Environment ◽  
C Programming ◽  
Source Data ◽  
Training Courses ◽  
Engineering Psychology ◽  
Different Levels

The calculations required in project activities for engineering students are commonly performed in electronic spreadsheets. Practice has shown that utilizing those calculations could prove to be quite difficult for students of other fields. One of the causes for such situation (as well as partly for problems observed during Java and C programming languages courses) lies in the lack of a streamlined distribution structure for both the source data and the end results. A solution could be found in utilizing a shared approach for information structuring in spreadsheet and software environment, called “the Book Method”, which takes into account the engineering psychology issues regarding the user friendliness of working with electronic information. This method can be applied at different levels in academic institutions and at teacher training courses.

Rancang Bangun E-Learning Pronounciation Bahasa Inggris STKIP Setiabudhi Rangkasbitung Berbasis Web

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Dentik Karyaningsih ◽  
Puji Siswanto
Keyword(s):  
Teaching And Learning ◽  
English Language ◽  
English Education ◽  
System Development ◽  
Language Education ◽  
Prototype System ◽  
Study Program ◽  
Education Study ◽  
English Pronunciation ◽  
E Learning

Lecture courses in the English Language Education Study Program of STKIP Setiabudhi Rangkasbitung are still conducted in face-to-face class, so the students who do not attend lectures cannot know the pronunciation material at that time, because the Pronunciation course is a practical course in the English pronunciation system. The E-Learning Pronunciation is built so that lectures can be carried out anywhere and anytime without reducing the quality of the teaching and learning process. Therefore, the students who are left behind can continue to follow the Pronunciation course material, as well as habituating students in utilizing communication and information technology. E-Learning Pronunciation is important to be built to improve the ability of students’ pronunciation when doing distance learning, so that students are clearer and more firm in understanding Pronunciation so that there are no errors in English pronunciation. Participants in this study were first semester students of English education study programs. This study uses an experimental research design with the Prototype System development method and system of testing uses Black box testing.

The Impact of Light Polarisation on Light Field of Scenes with Multiple Reflections

2020 ◽  
pp. 108-115 ◽  
Author(s):  
Vladimir P. Budak ◽  
Anton V. Grimaylo
Keyword(s):  
Mathematical Model ◽  
Light Field ◽  
Global Illumination ◽  
Multiple Reflections ◽  
Software Environment ◽  
The Monte Carlo Method ◽  
Mueller Matrices ◽  
Volume Integration ◽  
The Impact

The article describes the role of polarisation in calculation of multiple reflections. A mathematical model of multiple reflections based on the Stokes vector for beam description and Mueller matrices for description of surface properties is presented. On the basis of this model, the global illumination equation is generalised for the polarisation case and is resolved into volume integration. This allows us to obtain an expression for the Monte Carlo method local estimates and to use them for evaluation of light distribution in the scene with consideration of polarisation. The obtained mathematical model was implemented in the software environment using the example of a scene with its surfaces having both diffuse and regular components of reflection. The results presented in the article show that the calculation difference may reach 30 % when polarisation is taken into consideration as compared to standard modelling.

Unifying Calibration Parameters for Dielectric Moisture Meter

2006 ◽  
Vol 2 (1) ◽  
pp. 73-94 ◽  
Author(s):  
Péter Mészáros ◽  
David B. Funk
Keyword(s):  
The United States ◽  
Temperature Correction ◽  
Physical Parameters ◽  
Correction Coefficient ◽  
Prototype System ◽  
United States Department ◽  
Very High Frequency ◽  
Grain Moisture ◽  
University Of Budapest ◽  
Improved Accuracy

The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many grain types into a single “unified calibration”. The purposes of this research were to establish processes for determining unifying parameters from the chemical and physical properties of grains. The data used in this research were obtained as part of the United States Department of Agriculture-Grain Inspection, Packers and Stockyards Administration's Annual Moisture Calibration Study. More than 5,000 grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a Very High Frequency prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major grain types were obtained from the literature. Data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation unifying parameters were not modeled successfully, but these parameters can be estimated relatively easily through limited grain tests.

94-LB: Measurement Accuracy of a Newly Developed Prototype System for Noninvasive Glucose Monitoring

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 94-LB
Author(s):  
GUIDO FRECKMANN ◽  
STEFAN PLEUS ◽  
PETER WINTERGERST ◽  
DELIA WALDENMAIER ◽  
NINA R. JENDRIKE ◽  
...  
Keyword(s):  
Measurement Accuracy ◽  
Glucose Monitoring ◽  
Prototype System ◽  
Noninvasive Glucose Monitoring

Create your own data and energy integrated communication network: A brief tutorial and a prototype system

2020 ◽  
Vol 17 (9) ◽  
pp. 193-209
Author(s):  
Yali Zheng ◽  
Yitian Zhang ◽  
Yang Wang ◽  
Jie Hu ◽  
Kun Yang
Keyword(s):  
Communication Network ◽  
Prototype System ◽  
Integrated Communication
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