Mechanics, Materials Science & Engineering, May 2016
ISSN 2412-5954
Alena Gaibatova 1, Grigory Krylov 1, Ilya Seryy 1, Anastasiia Vorobeva 1, Konstantin Vorobev 1
1
National Research Nuclear University MEPHI, Moscow, Russia DOI 10.13140/RG.2.1.4889.4329
Keywords: IFES, principal component analysis (PCA), professional selection, financial monitoring, professional orientation, systematic analysis.
ABSTRACT. NRNU MEPHI on the profile activities in the sphere of financial monitoring. In this work, we have investigated a new subject field: applica profiles of their training.
Introduction. Over the last years, innovative technologies are applied to assess human resources. The use of up to date high-tech methods of analysis of specialists training quality, in particular the method of principal components of factor analysis is one of such technologies. Currently, preparation of qualified and competitive in the global labour market specialists by training students in multidisciplinary areas of education is the main purpose of the higher education institutions of the Russian Federation. O.Y.Golodets, Deputy Chairman of the Government of the Russian Federation, during her speech in the international conference
O.Y.Gorodets stressed that, based on the analytical indicators of the higher education institutions -discipline specialist are more Researches of the career guidance of students of economic security were conducted earlier to their further recruitment to the Federal Financial Monitoring Service. These researches are discussed in -based students assignment to core financial intelligence unit
D.N.Krymzin conducted a study to assess human resources of the higher education institutions on the example of N.P.Ogarev Mordovia State University [4]. Abstract of dissertation for the degree of regulation of information security and the possibilities for its versatile application in the Russian medical entities in the interests of procedures of medical decisions making using the PCA method, assessments of militaryIn this work, methods of system analysis, of mathematical statistics and of factor analysis are applied MMSE Journal. Open Access www.mmse.xyz
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analytical The PCA method was used as tool for the analysis of statistical data. Performance of each student can be effectively evaluate based on the mentioned data. In multivariate analysis object is described by different sets of data indicators. The direct perception and analysis of big amount of data is difficult. Thus, you have to use data with not high dimension, i.e. change multivariate sample to data with low dimension, when exploring an object. The main purpose of the PCA meth without significant loss of information contained in the system. Method consists of decomposition of k-dimensional random vector by Formula 1 (using orthogonal transformation) for the system of linearly independent vectors, which is selected as orthonormal set of eigenvectors (evectors), corresponding to the eigenvalues (evalues) of covariance matrix of vector X [7]: (1) In other words, after the transformation of multidimensional observations, only attributes that have the most importance in transition from one object to another are selected. Correlational symmetrical matrices are b Dispersions of principal components and correlation coefficients are received on the basis of correlation matrices and are shown in Fig. 1 and 2.
2% 5% 12% 78%
activities in the region of informatics and computer engineering.
6%
6%
7% 8% 11%
62%
profile activities in the region of AML / CFT / FPWMD.
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Mechanics, Materials Science & Engineering, May 2016
ISSN 2412-5954
The most important moment in implementing the PCA method is interpretation of received results and founded principal components. Weight of contribution made by components of each discipline were determined by using Analytic Hierarchy Process. The analysis of hierarchy based on the survey of experts in relevant spheres (areas) about importance of knowledge and skills. -analytical security systems 1. Analytical sphere of activity; 2. IT-sphere; 3. Activity in the sphere of information security; 4. International sphere of activity. 1. System engineer; 2. Software engineer; 3. System analyst. For the purpose of results verification it was carried out comparative analysis of values, revealed by the principal components method, with 24 expert assessments of knowledge contributions, the generation of which is foreseen by educational teaching process per said academic disciplines in profile activities in the field of financial monitoring (see. Fig. 3-6) and in the region of informatics and computer engineering (see. Fig. 7-9).
Fig. 3. Comparative analysis o the field of IT - technologies and programming
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of information security
Fig. international sphere of AML / CFT / FPWMD A comparative analysis showed that the second principal component is an integral assesstment of direction of training of specialists in IT spehere technologies and programming; indicators obtained sphere; indicators of the forth principal component is an integral assesstmen sphere of information security.
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Mechanics, Materials Science & Engineering, May 2016
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the field of analytical activities for financial monitoring As can be seen from the above, per the sixth principal component, the integral characteristic of factors, is specified. positively correlating with the sixth field of financial monitoring. Fig. 7discipline the main component 4 is corresponding to the direction of systems engineer training. Principal component 8 fully characterizes the trend of programmer engineer training. Principal component 8 corresponds to the following trend - system analyst. 5 4 3 2 1 0 -1 -2 -3 -4 -5 -6
Fig. 7. Comparison of the fourth principal component with the indexes of system engineer training
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Mechanics, Materials Science & Engineering, May 2016
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Fig. 8. Comparison of the eighth principal component with the indexes of programmer engineer training
Fig. 9. Comparison of the eighth principal component with the indexes of system analyst training
predisposition to the one of direction of training provided by the curriculum. The results were reported at a wee distribution by specialized groups according to their propensity to the specific priority direction of practice. References [1] O.Y.Golodets: modern universities should provide students a multidisciplinary education. [Online]. Available: http://tass.ru/obschestvo/1574291. -based students assignment to core financial intelligence unit departments curity of Information and Networks, ACM New York, NY, USA, 2015, p. 107-108. MMSE Journal. Open Access www.mmse.xyz
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-linear analysis for researches of dependence of the assessment of the personnel capacity of higher education institution from characteri Vestnik NSUEM, 2014, p. 134-141. al -medical entities by the Moscow, 2000. [6] S. A. Aivazyan, Applied statistics: Fundamentals of Modeling and Primary Data Processing [in Russian], Finansy i Statistika, Moscow, 1983, p. 472.
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