scholarly journals The Measurement of Knowledge Transfer

2018 ◽  
Author(s):  
Thomas von Clarmann
Keyword(s):  
Knowledge Transfer ◽  
Performance Assessment ◽  
Logical Structure ◽  
Research Groups ◽  
Open Questions ◽  
Overall Performance ◽  
Structure Of Knowledge

Abstract. The measurement of knowledge transfer is considered an important component of the overall performance assessment of research groups. It is, however, not a trivial task, because there is agreement on neither the definition nor on the logical structure of knowledge. In this paper the problems related to the explication of the title term are summarized and the relation between knowledge and information is critically discussed. Open questions with respect to the logical structure of knowledge and its transfer are identified. Requirements to the concept of a knowledge transferometer are developed. Finally the request to scientests to measure their knowledge transfer is critically discussed.

CTSA

2013 ◽  
Vol 1 (3) ◽  
pp. 12-33 ◽  
Author(s):  
Óscar Mortágua Pereira ◽  
Rui L. Aguiar ◽  
Maribel Yasmina Santos
Keyword(s):  
Performance Assessment ◽  
Relational Databases ◽  
Local Memory ◽  
Overall Performance ◽  
A Performance ◽  
Memory Structures

Call Level Interfaces (CLI) provide a set of functionalities to ease the connection between client applications and relational databases. Among them, the management of data retrieved from databases is emphasized. The retrieved data is kept in local memory structures (LMS) that allow client applications to read it and modify it through protocols. They are row (tuple) oriented and, while being executed, they cannot be preempted to start another protocol. This restriction leads to several difficulties when applications need to deal with several tuples at a time, namely in concurrent environments where several threads need to access to the same LMS instance, each one pointing to a different tuple and executing its particular protocol. To overcome this drawback, a Concurrent Tuple Set Architecture (CTSA) is proposed for LMS. A performance assessment is also carried out. The outcome is the evidence that in concurrent environments, the CTSA significantly improve the overall performance.

The quality of service: An overall performance assessment for water utilities

Omega ◽  
2017 ◽  
Vol 69 ◽  
pp. 115-125 ◽  
Author(s):  
F.S. Pinto ◽  
A.S. Costa ◽  
J.R. Figueira ◽  
R.C. Marques
Keyword(s):  
Quality Of Service ◽  
Performance Assessment ◽  
Water Utilities ◽  
Overall Performance

Performance Assessment of Sky Segmentation Approaches for UAVs

2019 ◽  
Vol 19 (04) ◽  
pp. 1950023
Author(s):  
Ahmed S. Mashaly
Keyword(s):  
Image Segmentation ◽  
Performance Assessment ◽  
General Purpose ◽  
Segmentation Method ◽  
Research Fields ◽  
Different Types ◽  
Segmentation Approach ◽  
Aerial Vehicle ◽  
Computer Vision Systems ◽  
Overall Performance

Image segmentation is one of the most challenging research fields for both image analysis and interpretation. The applications of image segmentation could be found as the primary step in various computer vision systems. Therefore, the choice of a reliable and accurate segmentation method represents a non-trivial task. Since the selected image segmentation method influences the overall performance of the remaining system steps, sky segmentation appears as a vital step for Unmanned Aerial Vehicle (UAV) autonomous obstacle avoidance missions. In this paper, we are going to introduce a comprehensive literature survey of the different types of image segmentation methodology followed by a detailed illustration of the general-purpose methods and the state-of-art sky segmentation approaches. In addition, we introduce an improved version of our previously published work for sky segmentation purpose. The performance of the proposed sky segmentation approach is compared with various image segmentation approaches using different parameters and datasets. For performance assessment, we test our approach under different situations and compare its performance with commonly used approaches in terms of several assessment indexes. From the experimental results, the proposed method gives promising results compared with the other image segmentation approaches.

Overall performance assessment for scramjet with boundary-layer ejection control based on thermodynamics

Energy ◽  
2017 ◽  
Vol 121 ◽  
pp. 318-330 ◽  
Author(s):  
Yubao He ◽  
Ruifeng Cao ◽  
Hongyan Huang ◽  
Jiang Qin ◽  
Daren Yu
Keyword(s):  
Boundary Layer ◽  
Performance Assessment ◽  
Overall Performance

Landslide Susceptibility Mapping and Model Performance Assessment

2013 ◽  
Vol 353-356 ◽  
pp. 3487-3493 ◽  
Author(s):  
Chen Chao Xiao ◽  
Yuan Tian ◽  
Kang Ping Si ◽  
Ting Li
Keyword(s):  
Logistic Regression ◽  
Performance Assessment ◽  
Landslide Susceptibility ◽  
Slope Angle ◽  
Model Performance ◽  
Susceptibility Mapping ◽  
Landslide Susceptibility Mapping ◽  
Susceptibility Maps ◽  
Overall Performance ◽  
Better Than

In this paper landslide susceptibility mapping and model performance assessment was conducted using three models, logistic regression, GAM, and SVM, in a study area in Shenzhen, China. Ten factors, slope angle, aspect, elevation, plan and profile curvature of the slope, lithology, NDVI, building density, the distance to the river, and the distance to the fault were selected as influencing factors for the landslide occurrences. All three models were trained and the resulting susceptibility maps were created. The performances of the three models were then assessed by AUC values through a 10-fold cross-validation. It could be concluded that in the study area GAM had the best overall performance among the three models, while SVM was better than logistic regression. Based on the derived DPR values, the optimum thresholds between stable areas and risky areas for all three models were also determined.

Comprehensive Methodology for Overall Performance Assessment of Water Utilities

2015 ◽  
Vol 29 (15) ◽  
pp. 5429-5450 ◽  
Author(s):  
Amir Nafi ◽  
Jacques Tcheng ◽  
Patrick Beau
Keyword(s):  
Performance Assessment ◽  
Water Utilities ◽  
Overall Performance
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