Information Approach to Evaluating Effectiveness of the Marine Surface Monitoring System Functioning
Keywords:reliability, completeness, operational efficiency, marine surface monitoring system, effectiveness, indicator.
The article shows that the main purpose of the Border Guard Agency's marine surface monitoring system is the information support of the decision making. To achieve this purpose such tasks were performed: provided rationale for the indicators of the marine surface monitoring system effectiveness; developed the analytical models for determining indicators of reliability, completeness, operational efficiency processed by the marine surface monitoring system; developed an analytical model of the integral indicator of evaluating the efficiency of the marine surface monitoring system functioning; investigated the results of applying the information approach to evaluating the effectiveness of the marine surface monitoring system in different circumstances. The choice of system effectiveness indicators has been justified. It is stated that the composion of indicators of reliability, completeness and operational efficiency corresponds to the properties of the information resource of the marine surface monitoring system. A formal description of these indicators has been made and an integral indicator of the effective functioning of the marine surface monitoring system has been formed. The obtained value of the integral effectiveness indicator allowed to compare the results of modeling with the standard value of the effectiveness indicator and justified the managerial solution on the use of operational resources at the maritime border area.
Al Rababah, A. A. (2019). Assurance Quality and Efficiency in Corporate Information Systems / International journal of computer science and network security. International Journal of Computer Science and Network Security, 19(4), 87-95.
Avital, M., Mathiassen, L. & Schultze, U. (2017). Alternative genres in information systems research. European Journal of Information Systems, 26, 240–247. https://doi.org/10.1057/s41303-017-0051-4
Cao Y., Wang Y. P., Tang X. M. & Zhao X. F. (2018). An evaluation Method for network Communication System Efficiency Based on Multi-Source Information Fusion. 37th Chinese Control Conference (CCC), Wuhan, 4305-4309.
DeLone, W. H. & McLean, E. R. (2016). Information Systems Success Measurement, Foundations and Trends. Information Systems, 2(1), 1-116. http://dx.doi.org/10.1561/2900000005
Eroshkin, S. Y., Kameneva, N., Kovkov, D., & Sukhorukov, A. (2017). Conceptual system in the modern information management. Procedia Computer Science, 103, 609-612. https://doi.org/10.1016/j.procs.2017.01.079
Harasymchu, O. I. & Kostiv, Y. M. (2011). Otsinka efektyvnosti system [Evaluation of System Effectiveness]. Visnyk KNU im. M. Ostrohradskoho [Bulletin of M. Ostrogradskyi National University of Ukraine], 1(66). Chastyna 1 [Part 1].
Koivisto, J. & Hamari, J. (2019). The rise of motivational information systems: A review of gamification research. International Journal of Information Management, 45, 191-210. https://doi.org/10.1016/j.ijinfomgt.2018.10.013
Lakshminarayana, V. & Rajasekaran P (2017). Environmental Monitoring System in Marine using IoT Technology. Indian Journal of Public Health Research & Development, 8(3s), 486-488. https://doi.org/10.5958/0976-5506.2017.00255.8
Mancosu, P., Fogliata, A., Stravato, A., Tomatis, S., Cozzi, L. & Scorsetti, M. (2016). Accuracy evaluation of the optical surface monitoring system on EDGE linear accelerator in a phantom study. Medical Dosimetry, 41(2), 173–179. https://doi.org/10.1016/j.meddos.2015.12.003
Mazur, V. Y. & Borovyk, O. V. (2018). Metodychni osnovy otsinky efektyvnosti funktsionuvannia yedynoii systemy vysvitlennia nadvodnoii obstanovky na morskii diliantsi [Methodical Bases of Evaluation of Effectiveness of a Unified Marine Surface Monitoring System Functioning on the Sea]. Nauka i tekhnika Povitrianykh Syl Zbroinykh Syl Ukraiiny [Science and Technology of the Air Force of the Armed Forces of Ukraine], 2(31S), 182–189.
Mazur, V. Y. (2017). Metodyka otsiniuvannia efektyvnosti funktsionuvannia elementiv systemy vysvitlennia nadvodnoii obstanovky [Methodology of Evaluating Effective Functioning of the Marine Surface Monitoring System Elements]. Chest i zakon [Honor and Law], 4(63S), 81–85.
Mazur, V. Y. (2018). Metodyka ekspertnoho otsiniuvannia velychyn parametriv modeli funktsionuvannia systemy vysvitlennia nadvodnoii obstanovky. Uchast pravookhoronnykh formuvan Ukraiiny u zabezpechenni hromadskoii bezpeky [Methodology of Expert Evaluation of Model Parameters of the Marine Surface Monitoring System Functioning. Participation of Ukraine’s Law Enforcement Units in Ensuring Public Security], zb. tez. III Vseukr. nauk.-prakt. konf. (m. Kharkiv, 29 lystop. 2018 r.). Kharkiv, S, 33–34.
Mkrtchyan, F. A., & Varotsos, C. A. (2018). A New Monitoring System for the Surface Marine Anomalies. Water Air Soil Pollut, 229, 273. https://doi.org/10.1007/s11270-018-3938-3
Petukhov, G. B. & Yakunin, V. I. (2006). Metodologicheskiie osnovy vneshnego proektirovaniia tselenapravlennykh protsessov i tseleustremlonnykh sistem [Methodological Foundations of the External Design of Goal-Oriented Processes and Purposeful Systems]. AST.
Strelbitsky, M. & Katerynchuk, I. (2019). Model of Information Flows of the Information System at Stage of Modernization. 3rd International Conference on Advanced Information and Communications Technologies, ACIT 2019 – Proceeding. https://doi.org/10.1109/AIACT.2019.8847911
Xu, G., Shen, W. & Wang, X. (2014). Applications of Wireless Sensor Networks in Marine Environment Monitoring: A Survey. Sensors, 14(9), 16932-16954. https://doi.org/10.3390/s140916932
Yang, L., Xiao Ming, L., Zhi Huan, W. & Yan Qiu, W. (2019). Design of Command Effectiveness Evaluation Software for Overseas Anti-terrorism Operation Command System. IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chengdu, China, 1161-1166. https://doi.org/10.1109/IAEAC47372.2019.8998038
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