Software tool to support research and training in the field of knowledge engineering

2016 ◽  
Author(s):  
E. E. Kotova ◽  
A. S. Pisarev ◽  
I. A. Pisarev
Keyword(s):  
Knowledge Engineering ◽  
Software Tool ◽  
And Training ◽  
Support Research

KEATS: A System to Support Knowledge Engineering and Training for Decision-Making Skills

1989 ◽  
Author(s):  
Fritz H. Brecke ◽  
Patrick Hays ◽  
Donald Johnston ◽  
Gail Slemon ◽  
Jane McGarvey ◽  
...  
Keyword(s):  
Decision Making ◽  
Knowledge Engineering ◽  
And Training

scholarly journals Software tool for naval surface warfare simulation and training

2007 ◽  
Vol 6 (s2) ◽  
pp. S427-S444 ◽  
Author(s):  
Sergiu Dascalu ◽  
Sermsak Buntha ◽  
Daniela Saru ◽  
Narayan Debnath
Keyword(s):  
Software Tool ◽  
Simulation And Training ◽  
Surface Warfare Simulation ◽  
And Training ◽  
Naval Surface Warfare

Capturing expertise by rule induction

1987 ◽  
Vol 2 (1) ◽  
pp. 55-63 ◽  
Author(s):  
Brian P. Bloomfield
Keyword(s):  
Expert System ◽  
Knowledge Engineering ◽  
Current Knowledge ◽  
Software Tool ◽  
Rule Induction ◽  
System Construction ◽  
Selection Of

AbstractThis paper examines the claim that machine induction can alleviate the current knowledge engineering bottleneck in expert system construction. It presents a case study of the rule induction software tool known as Expert-Ease and proposes a set of criteria which might guide the selection of appropriate domains.

scholarly journals New Results For Teaching Ship Handling Using Fast Time Simulation

2021 ◽  
Vol 93 (7s) ◽  
pp. 167-184
Author(s):  
Knud Benedict ◽  
◽  
Michèle Schaub ◽  
Michael Baldauf ◽  
Michael Gluch ◽  
...  
Keyword(s):  
Software Tool ◽  
Fast Time ◽  
Use Case ◽  
Planning Tool ◽  
Complex Dynamic ◽  
Knowledge For Teaching ◽  
Time Simulation ◽  
New Knowledge ◽  
And Training ◽  
Ship Handling

Some years ago, the SAMMON software tool box was introduced for “simulation augmented manoeuvring design, monitoring & conning”. It is based on the innovative “rapid advanced prediction & interface technology” (RAPIT) to simulate the ships motion by fast time simulation FTS with complex dynamic math models and to display the ships track immediately in an electronic sea chart for any rudder, thruster or engine manoeuvre planned by the navigator.specifically, the SAMMON planning tool will be shown in its opportunities for achieving new knowledge for teaching of ships dynamic and training of ship handling elements. That system represents the full information from ships’ manoeuvring documentation and from additional trial results squeezed in a ship dynamic model, capable of simulating environmental effects by using the RAPIT technology. The paper introduces the variety of opportunities of the training tools by presenting use case studies, e.g. For drifting under wind and how to get simple formulas for drift speed related to wind speed. Additionally, two complex manoeuvring strategies for a port arrival scenario will be compared for a ship with azimuth propeller to find out potential alternatives with less fuel consumptions and emissions.

East German Military Aid to the Sandinista Government of Nicaragua, 1979–1990

2014 ◽  
Vol 16 (2) ◽  
pp. 56-76 ◽  
Author(s):  
Klaus Storkmann
Keyword(s):  
National Defense ◽  
Military Assistance ◽  
Military Aid ◽  
Guerrilla Movements ◽  
East German ◽  
Decision Making Processes ◽  
Military Command ◽  
The Third World ◽  
And Training ◽  
Support Research

The East German regime provided extensive military assistance to developing countries and armed guerrilla movements in Africa, the Middle East, Southeast Asia, and Latin America. In the 1980s, the pro-Soviet Marxist government in Nicaragua was one of the major recipients of East German military assistance. This article focuses on contacts at the level of the ministries of defense, on Nicaraguan requests to the East German military command, and on political and military decision-making processes in East Germany. The article examines the provision of weaponry and training as well as other forms of cooperation and support. Research for the article was conducted in the formerly closed archives of the East German Ministry for National Defense regarding military supplies to the Third World as well as the voluminous declassified files of the Socialist Unity Party of Germany (the ruling Communist party).

Capturing Expertise by Rule Induction

1984 ◽  
Vol 1 (4) ◽  
pp. 30-36 ◽  
Author(s):  
Brian P. Bloomfield
Keyword(s):  
Expert System ◽  
Knowledge Engineering ◽  
Current Knowledge ◽  
Software Tool ◽  
Rule Induction ◽  
System Construction ◽  
Selection Of

AbstractThis paper examines the claim that machine induction can alleviate the current knowledge engineering bottleneck in expert system construction. It presents a case study of the rule induction software tool known as Expert-Ease and proposes a set of criteria which might guide the selection of appropriate domains.

scholarly journals DETECTION OF A HUMAN HEAD ON A LOW-QUALITY IMAGE AND ITS SOFTWARE IMPLEMENTATION

2019 ◽  
Vol XLII-2/W12 ◽  
pp. 237-241
Author(s):  
D. Yudin ◽  
A. Ivanov ◽  
M. Shchendrygin
Keyword(s):  
Software Tool ◽  
Human Head ◽  
Recognition Algorithm ◽  
False Positives ◽  
Minimum Size ◽  
Low Light ◽  
Training Samples ◽  
Head Detection ◽  
Computer Vision Applications ◽  
And Training

<p><strong>Abstract.</strong> The paper considers the task solution of detection on two-dimensional images not only face, but head of a human regardless of the turn to the observer. Such task is also complicated by the fact that the image receiving at the input of the recognition algorithm may be noisy or captured in low light conditions. The minimum size of a person’s head in an image to be detected for is 10&amp;thinsp;&amp;times;&amp;thinsp;10 pixels. In the course of development, a dataset was prepared containing over 1000 labelled images of classrooms at BSTU n.a. V.G. Shukhov. The markup was carried out using a segmentation software tool specially developed by the authors. Three architectures of convolutional neural networks were trained for human head detection task: a fully convolutional neural network (FCN) with clustering, the Faster R-CNN architecture and the Mask R-CNN architecture. The third architecture works more than ten times slower than the first one, but it almost does not give false positives and has the precision and recall of head detection over 90% on both test and training samples. The Faster R-CNN architecture gives worse accuracy than Mask R-CNN, but it gives fewer false positives than FCN with clustering. Based on Mask R-CNN authors have developed software for human head detection on a lowquality image. It is two-level web-service with client and server modules. This software is used to detect and count people in the premises. The developed software works with IP cameras, which ensures its scalability for different practical computer vision applications.</p>

scholarly journals Birds specimens of the zoological collection of the Universidad de Nariño, Colombia

2021 ◽  
Vol 23 (1) ◽  
pp. e983
Author(s):  
Jhon Jairo Calderón Leytón ◽  
Osvaldo Eduardo Arcos-Patiño ◽  
Cristhian D. Rosero-Calderón ◽  
Ronald A. Fernandez Gomez
Keyword(s):  
Conservation Status ◽  
Ecological Planning ◽  
Geographic Context ◽  
Darwin Core ◽  
Complete Dataset ◽  
Primary Literature ◽  
Biogeographic Regions ◽  
Administrative Units ◽  
And Training ◽  
Support Research

We provide a complete dataset of bird specimens of the zoological collection at the Universidad de Nariño, Colombia. For every specimen, we reviewed taxonomic identifications to species level by applying curatorial procedures, including the comparison of skins, the use of taxonomic keys and primary literature, and by confirming georeferenced locality data. We present 1249 specimens from 419 species. Most records come from ecosystems in southwestern Colombia, department of Nariño. All records are in the Darwin Core standard and have been made available through the Colombian biodiversity portal (SiB-Colombia) and the GBIF. In addition, we projected these bird occurrences in a geographic context to analyze the density, representation of ecosystems, biogeographic regions, and administrative units (municipalities). We also examine the representation of relevant species regarding their endemism, migratory, or conservation status. With this information, we want to support research and training initiatives to support ecological planning with biogeographic approaches to understand the temporal changes in bird faunas.

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