FORMATION OF QUALITIES OF THE GRADUATE OF THE «MANAGEMENT» DIRECTION ON THE BASIS OF THE FACTOR MATRIX OF COMPETENCIES

2021 ◽  
Vol 2 (2) ◽  
pp. 53-58
Author(s):  
Olga Iosifovna Likhtanskaya ◽  
Svetlana Alekseevna Barkova ◽  
Viktor Markovich Krasilov ◽  
Anna Koshel
Keyword(s):  
Factor Matrix

scholarly journals Beach Development Strategy as Tourism Destination in Tabanan Bali

2019 ◽  
Vol 10 (01) ◽  
pp. 21219-21228
Author(s):  
Ni Luh Putu Suratini ◽  
I Ketut Arnawa ◽  
I Gusti Ngurah Alit Wiswasta
Keyword(s):  
Development Strategy ◽  
Swot Analysis ◽  
Community Leaders ◽  
Analysis Method ◽  
Tourist Destination ◽  
Factor Matrix ◽  
Tourist Destinations ◽  
The Government ◽  
Suitable Potential

The purpose of the study is to: (1). Analyzing the attractiveness of Pasut Beach as one of the tourist destinations in Tabanan Regency. (2). Analyze the strategy of developing Pasut Beach as a tourist destination in Tabanan Regency. The research location was determined by purposive sampling Pasut Beach, located in Tibubiu Village, Kerambitan District, Tabanan on the basis of having a very suitable potential to be developed into a tourist destination. The sample of the study was taken by 49 people consisting of elements from the Government, community leaders and tourism actors. This study uses qualitative qualitative analysis method (giving more detailed reviews and interpretations of the data obtained and SWOT analysis. Furthermore, in the SWOT method the External Strategy Factor Matrix (EFAS) model and the Internal Strategy Factor Matrix Model (IFAS) are used, followed by IFE matrix and EFE matrix to determine the weight, rating and score and to determine the strategy and position of the quadrant I - E matrix, Beach Pas po is in the position in quadrant I, with the S-O strategy where the values ​​of strength and opportunity are equally high ( use the power to get opportunities) by improving the quality of human resources, especially in the field of mastering technology, communication and information.

Full-factor matrix model of accuracy of dimensions performed on multi-purpose CNC machines

2021 ◽  
Vol 23 (4) ◽  
pp. 6-20
Author(s):  
Nizami Yusubov ◽  
◽  
Heyran Abbasova ◽  
Keyword(s):  
Matrix Models ◽  
Cutting Conditions ◽  
Machining Process ◽  
Technological System ◽  
Design System ◽  
Machining Accuracy ◽  
Factor Matrix ◽  
Cnc Machines ◽  
Plane Parallel ◽  
Base Points

Introduction. One of the main reasons that modern multi-purpose CNC machines do not use the capabilities of multi-tool processing is the lack of recommendations for design in this direction and, accordingly, for adjustment schemes. The study of the possibilities of multi-tool processing on multi-purpose machines is the subject of the work. The purpose of research: The problem of developing full-factor matrix models of dimensional accuracy and its sensitivity to the machining process is considered to increase the machining efficiency while ensuring machining accuracy using the technological capabilities of multi-tool machining on modern multi-purpose CNC machines. For this purpose, full-factor matrix models of the size scattering fields performed on multi-tool double-carriage adjustments have been developed, taking into account the cases of processing parts with dimensions that differ sharply in different directions, which are often encountered in practice, and in this case, the significant influence of the turns of the workpiece on the processing error, especially in directions with sharply different overall dimensions. Results of research: The developed accuracy models make it possible to calculate not only plane-parallel displacements of the technological system for double-carriage adjustments, but also angular displacements around base points, take into account the combined effect of many factors – a complex characteristic of the subsystems of the technological system (plane-parallel matrix of compliance and angular matrix of compliance), the geometry of the cutting tool , the amount of bluntness of the tool, cutting conditions, etc. As a result, based on the developed accuracy models, it is possible to obtain several ways to control multi-tool machining, including improving the structure of multi-tool adjustments, calculating the limiting values of cutting conditions. Based on the developed full-factor matrix models, it became possible to develop recommendations for the design of adjustments and the creation of an automated design system for multi-tool machining for a group of modern multi-purpose CNC lathes. Scope of the results: The results obtained can be used to create mathematical support for the design of operations in CAD-systems provided for multi-tool multi-carriage machining performed on multi-purpose machines. Conclusions: The developed models and methodology for simulating the machining accuracy make it possible to increase the accuracy and efficiency of simultaneous machining, to predict the machining accuracy within the specified conditions.

Robust Adaptive Kalman Filtering – a method based on quasi-accurate detection and plant noise variance–covariance matrix tuning

2016 ◽  
Vol 70 (1) ◽  
pp. 137-148 ◽  
Author(s):  
Xiaowen Luo ◽  
Haitao Wang
Keyword(s):  
Global Positioning System ◽  
Adaptive Estimation ◽  
Detailed Calculation ◽  
Equivalent Weight ◽  
Noise Variance ◽  
Adaptive Kalman Filter ◽  
Factor Matrix ◽  
Abrupt Changes ◽  
Global Positioning ◽  
Robust Adaptive

In this paper, we propose an algorithm for tuning both the kinematic and measurement noise Variance–Covariance (VCV) matrices to produce a more robust and adaptive Kalman filter. The proposed algorithm simultaneously considers both observation outliers and abrupt changes. This algorithm may be divided into two basic parts: 1. Robust estimation, from which the position components of the filtering estimates and the equivalent weight factor matrix can be obtained; and 2. Adaptive estimation, from which the adaptive kinematic noise VCV tuning matrix is calculated. To demonstrate the efficiency of our algorithm, we process a set of kinematic Global Positioning System (GPS) data received from a rover mounted on an aeroplane. The processing results are found to be very satisfactory, with observation outliers and abrupt changes detected and dealt with accordingly. The detailed calculation procedure for the adaptive VCV tuning matrix is also described.

scholarly journals Modeling Phase Shifters in Power System Simulations Based on Reduced Networks

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2167
Author(s):  
Nuno Marinho ◽  
Yannick Phulpin ◽  
Adrien Atayi ◽  
Martin Hennebel
Keyword(s):  
Power System ◽  
Network Models ◽  
Phase Shifters ◽  
Power Transfer ◽  
Distribution Factor ◽  
Factor Matrix ◽  
Reduced Models ◽  
Static Power ◽  
The Impact ◽  
Model Phase

Phase shifters are becoming widespread assets operated by transmission system operators to deal with congestions and contingencies using non-costly remedial actions. The setting of these controllable devices, which impacts power flows over large areas, may vary significantly according to the operational conditions. It is thus a key challenge to model phase shifters appropriately in power system simulation. In particular, accounting for the flexibility of phase shifters in reduced network models is a vibrant issue, as system stakeholders rely more and more on reduced models to perform studies supporting operational and investment decisions. Different approaches in the literature are proposed to model phase shifters in reduced network. Nevertheless, these approaches are based on the electrical parameters of the system which are not suitable for reduced network models. To address this problem, our paper proposes a methodology and assesses the impact of this contribution in terms of accuracy of the modelling on reduced network models. The approach was applied to a realistic case-study of the European transmission network that was clustered into a reduced network consisting of 54 buses and 82 branches. The reduction was performed using classical clustering methods and represented using a static power transfer distribution factor matrix. The simulations highlight that including an explicit phase shifter transformers representation in reduced models is of interest, when comparing with the representation using only a static power transfer distribution factor matrix.

Measurement of Movement Confidence with a Stunt Movement Confidence Inventory

1989 ◽  
Vol 11 (1) ◽  
pp. 26-40 ◽  
Author(s):  
Norma S. Griffin ◽  
Michael E. Crawford
Keyword(s):  
Total Variance ◽  
Response Patterns ◽  
High Confidence ◽  
Factor Matrix ◽  
Model Interaction ◽  
Validity Coefficient ◽  
Response Profiles ◽  
Reliability Coefficients ◽  
Three Components

The purposes of this study were (a) to construct and validate a Stunt Movement Confidence Inventory (SMCI) that would reliably discriminate between high- and low-confidence children and (b) to examine perceived confidence in light of assumptions from the movement confidence model. Interaction of three components postulated in the model (competence, potentials for enjoyment, and harm) was studied by analyzing the response patterns of 356 children. Reliability coefficients for item, subscale, total scale, and subject stability ranged from r=.79 to .93. SMCI subscales successfully classified 88% of all subjects with a 52.3% improvement over chance and a validity coefficient of .98. The factor matrix accounted for 49% of the total variance and verified the dominance of the competence subscale and the multivariate nature of the harm variable (subscale). Response profiles of low- and high-confidence groups validated the identity and separability of the model's theoretical components—competence, enjoyment, and harm. The SMCI was reliable and valid in discriminating between high- and low-confidence children.

Comparative Study of Factor Structure of Raven's Coloured Progressive Matrices

1980 ◽  
Vol 51 (3_suppl2) ◽  
pp. 1244-1246 ◽  
Author(s):  
Armin Schmidtke ◽  
Sylvia Schaller
Keyword(s):  
Factor Structure ◽  
Age Groups ◽  
Similarity Coefficient ◽  
Abstract Reasoning ◽  
High Similarity ◽  
Factor Solution ◽  
Factor Matrix ◽  
Perceptual Closure ◽  
Mean Similarity ◽  
Three Factor

The Raven Coloured Progressive Matrices were administered on group or individual bases to children ranging in age from 4 yr. 9 mo. to 11 yr. 0 mo. ( N = 728). Factor analysis yielded three factors: 1. Perceptual closure involving complex figures and patterns with heterogeneous inner structures, 2. Concrete and abstract reasoning, 3. Completion of homogeneous patterns and recognition of given elements. Factor matrix comparisons across age groups resulted in a mean similarity coefficient of .75. Comparisons of data with earlier analyses also resulted in high similarity. This supports the hypothesis of a three-factor structure rather than a four-factor solution or a simple dual classification into items which can be solved by perceptual processes and those which require conceptual solutions.

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