scholarly journals ON THE NECESSITY OF IMPROVING THE METHOD OF CLUSTERIZATION OF VESSEL ROUTES AS A PROCEDURAL MODULE OF THE AUTOMATED DATA PRODUCTION PROCESSING SYSTEM IN SUN

2020 ◽  
Vol 2 (2) ◽  
pp. 38-46
Author(s):  
O. BOROVYK ◽  
◽  
D. BOROVYK ◽  
T. KOSTELNA ◽  
◽  
...  

The article is devoted to the analysis of the existing method of clustering of ship routes within the exclusive sea (economic) zone from the standpoint of substantiation of its application or identification of ways to improve it for use in the surface lighting system in the interests of national security at the state border. The study found that the existing method of clustering ship routes can not be explicitly applicable for use in the surface lighting system as a procedural module of the automated data processing system, which would provide a sufficient level of reliability to detect signs of violations of border legislation within the exclusive maritime ( economic) zone. It is also established that the improvement of the method of clustering of routes of ships should address the following issues: definition of such types of approximation for the formation of continuous routes of individual ships, which would provide a sufficient level of reliability of the results on given experimental data sets. time; justification for the choice of such a number of experimental points of location of ships and directly a combination of points that would ensure a sufficient level of reliability of the conclusions formed; study of different metrics to establish the similarity of arbitrary routes of ships from the standpoint of ensuring unambiguous conclusions; adaptation of the proposed tools to the boundary initial conditions of the studied problem; adaptation of the method for the case of arbitrary complexity of the route of vessels; formation of such a method of constructing a reference route within the desired cluster, which would ensure the reproduction of the route in the form of a continuous trajectory

1987 ◽  
Vol 62 (6) ◽  
pp. 469-471
Author(s):  
Yu. D. Fedorov ◽  
Yu. F. Sviridova ◽  
A. V. Kiselev ◽  
V. I. Marusev ◽  
N. D. Loginov

1964 ◽  
Vol 3 (02) ◽  
pp. 57-60
Author(s):  
A. Lemlich ◽  
H. Ziffer

A computer supported clinical study concerning the natural history and prognosis of heart disease was carried out. The use of automated data processing system facilitated the collection of clinical data and permitted the use of advanced statistical- procedures in the evaluation of these data. Clinical shock was found to be the most important factor in the prognosis of this disease. Other important clinical and laboratory features of this disease were investigated statistically. Further studies concerning the application of computer systems and techniques to clinical diagnosis are in progress and will be reported upon in the future.


2016 ◽  
Vol 79 ◽  
pp. 01068 ◽  
Author(s):  
Sergey Shmakov ◽  
Maxim Cherniak ◽  
Anna Boruzdina ◽  
Peter Skorobogatov ◽  
Alexander Nikiforov

Transfusion ◽  
1970 ◽  
Vol 10 (4) ◽  
pp. 215-220 ◽  
Author(s):  
M. O'Hara ◽  
A. M. Josephson

1971 ◽  
Vol 1 (1) ◽  
pp. 15-18 ◽  
Author(s):  
B. Sherwood Mather ◽  
I. Cope ◽  
J. Greenwell

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