Conference PaperPDF Available

Artificial intelligence as the basis of future control networks.

Authors:
  • Central Scientific Research Insitute of Armaments and Military Equipment of Armed Forces of Ukraine

Abstract

This is the official publication of the Prepint "Artificial intelligence as the basis of future control networks", July 2019. - DOI: 10.13140/RG.2.2.30247.50087
MINISTRY Of DEFENCE Of UKRAINE MINISTRY OF EDUCATION AND
SCIENCE OF UKRAINE
Central Research Institute of Arms of the Armed Forces of Ukraine
COORDINATION PROBLEMS OF MILITARY TECHNICAL AND
DEVENSIVE INDUSTRIAL POLICY IN UKRAINE. WEAPONS AND
MILITARY EQUIPMENT DEVELOPMENT PERSPECTIVES
VIІ International Scientific and Practical Conference
Abstracts of reports
October 09–10
Kyiv
2019
ORGANIZING COMMITTEE
Chairman of the Organizing Committee Chepkov I. B. DEng, Professor, Chief
of the Central Research Institute of Armaments and Military Equipment of the
Armed Forces of Ukraine
Deputy Chairman of the Organizing Committee
Sliusar V.I.
DEng, Professor, Principal Research Fellow of the Central Research Institute of
Armaments and Military Equipment of the Armed Forces of Ukraine Members
of the Organizing Committee:
Lapytskyi S.V.
Sotnyk V.V.
DEng, Professor, Principal Research Fellow of the Central Research Institute of
Armaments and Military Equipment of the Armed Forces of Ukraine Ph.D. in
Eng., Senior Research Fellow, Deputy Chief of the Central Research Institute of
Armaments and Military Equipment of the Armed Forces of Ukraine for
Scientific Affairs
Koliennikov A.P. Deputy Chief of the Central Research Institute of Armaments
and Military Equipment of the Armed Forces of Ukraine for Development and
Trials
Storozhyk I.V. Deputy Chief of the Central Research Institute of Armaments
and Military Equipment of the Armed Forces of Ukraine for Human Resources
Hultiaiev A.A. Ph.D. in Eng., Senior Research Fellow, Chief of the Research
Directorate for Military-Technical Policy
Larin O.U. Ph.D. in Eng., Chief of the Research Directorate for Development of
Weapons and Military Equipment of the Ground Forces
Holovin O.O. Ph.D. in Eng., Senior Research Fellow, Chief of the Research
Directorate for Development of Weapons and Military Equipment of the Air
Forces
Tverdokhlibov V.V. Ph.D. in Eng., Senior Research Fellow, Chief of the
Research Directorate for Development of Weapons and Military Equipment of
the Special Operations Forces
Kosiakovskyi A.V. Ph.D. in Eng., Chief of the Research Directorate for
Development of Armament and Military Equipment of the Navy
Kapas A.H. Chief of the Scientific and Organizational Department
Kanischev V.V. Chief of the 1st Research Department
Komarov V.O. Chief of the 2nd Research Department
Himber S.M. Chief of the Scientific Information Department
Chayka D.Yu. Ph.D. in Geography, General Director of the Directorate for
Innovation and Technology Transfer, Ministry of Education and Science of
Ukraine Ivanov O.V. Main specialist of the Technology Transfer Department,
Ministry of Education and Science of Ukraine
Secretary of the Organizing Committee
Chuchmii A.V. Senior Research Fellow of the Scientific Information
Department
VII International Scientific and Practical Conference
4
Lukianov P., Bulka V. Implementation of modern technologies to the management system
of the life cycle of protected purpose
64
Megey K.V. Italian experience on measures of ame development planning
63
Nikolaev I.V., Kalugin D.S. Summary, forms and functions of operating and strategic
requirements to the perspective system AME AD
64
Nor P.I. Assessment of capabilities at ame creation by industry enterprises
65
Pochernin S.P., Zotova L.M. NATO policy on the application of civil standards in the
armament standardization
66
Radov D.H. Competition issues between dics of the usa and eu, possibility of Ukraine’s
participation in the european allocation of jobs in wme production
67
Rusevich A.O. Analysis of the impact of the development of arms and military equipment
on the level of military security of the state, ways of determination of impact
70
Riabets O.M., Borokhvostov V.K. The essence of a system methodology for the prediction
(forecasting) and risk management to resolve the issues of the armed forces of Ukraine
72
Savelyev Yu.V., Markovska L.А. New protective coatings for protection of structures and
objects exploited under specific conditions
74
Slyusar V.I. Artificial intelligence as the basis of future control networks
76
Smirnov V.O. Actualization of the task of creating a lifecycle management system for
armaments and military equipment in Ukraine
77
Smirnov V.O. Changes in Ukraine's position on the world arms market
80
Smirnov V.O. On the conceptual apparatus in the field of military-technical policy
82
Smirnov V.O. On creation of monitoring system of military-technical policy of Ukraine
85
Sotnik V.V., Zhubarev V.V., Borokhvostov V.K., Riabets O.M. Scientific and
methodological apparatus for risk management in the development, manufacturing, and
purchase of new (modernized) samples of armaments and military equipment
87
Sotnik V.V., Zhubarev V.V., Borokhvostov V.K., Riabets O.M. Need for the provision and
forecast of the risks influence of the negative circumstances and the events under the time
of the development, manufacturin
g, and purchase of new (modernized) samples of
armaments and military equipment
89
Sotnyk V.М., Kupchyn A.V. Foresight for the selection of critical technologies
90
Sotnyk V.М., Kupchyn A.V. The method of critical technologies
91
Tomchuk V.V. Global scientific and technological trends in development of armaments and
military equipment
92
Chepura M.M., Megey K.V. Basic directions of state policy in safety and defense area of
Ukraine
94
Chernega М.A. Main task of the initial stage of the reformation of the defense-industrial
complex
95
Shapoval P.I. Parameter assessment models of stochastic dynamic systems radio element
parameter assessment
98
Shcherbyna I.M. Prerequisites for organization of the pricing process for the production o
defense technoparks
98
SECTION 1
DEVELOPMENT PROSPECTS OF THE GROUND FORCES ARMAMENT AND
MILITARY EQUIPMENT
Sus S.V. Analysis of the problems affecting the scientific support of the research and
construction works on the development and modernization of the arms and the arms and
the possible ways to solve them
102
Akimov O.O., Bursala O.L., Boiarov V.T., Zhdanyuk M.M. Researches of smoothness of the
VII International Scientific and Practical Conference
76
duration of their operation, and d) in general, increasing the safety and operation
life of structures and objects.
The organization of PCM is possible on active (or reconstructed) chemical
production using standard chemical equipment. Slyusar V.I., Dr.t.s., Prof.
Central RI AME AF of Ukraine
ARTIFICIAL INTELLIGENCE AS THE BASIS OF FUTURE
CONTROL NETWORKS
The implementation of Artificial Intelligence (AI) is an important trend in the
development of battlefield and weapons control systems. NATO experts use two
alternative definitions of artificial intelligence (NIAG StudyGroup SG-238 “GBAD
Operations against the 21st Century Peer Nation Cruise Missile and Unmanned
Aerial Systems (UAS)”):
“AI is the capability provided by algorithms of selecting optimal or sub-
optimal choices from a wide possibility space, in order to achieve goals by applying
strategies which can include learning or adapting to the environment”;
“Artificial intelligence (AI) refers to systems designed by humans that, given a
complex goal, act in the physical or digital world by perceiving their environment,
interpreting the collected structured or unstructured data, reasoning on the
knowledge derived from this data and deciding the best action(s) to take (according
to pre-defined parameters) to achieve the given goal. AI systems can also be
designed to learn to adapt their behavior by analyzing how the environment is
affected by their previous actions”.
As a scientific discipline AI includes several approaches and techniques, such
as: machine learning (deep learning and reinforcement learning),
machine reasoning (planning, scheduling, knowledge representation and
reasoning, search, and optimization),
robotics (control, perception, sensors and actuators, as well as the integration
of all other techniques into cyber-physical systems).
AI is useful in particular with respect to Human resources & manning
requirements: making (heterogeneous) systems work together; data exchange;
command coordination; target allocation (also between nations); working with
fewer resources; taking the man on/over the loop; coordination of sensors and
effectors; threat detection and identification; semi-autonomous weapon allocation;
improving timeliness (fast threat, pop up, numerous threat); derivation of intent,
situational awareness and evaluation.
The main applications of Artificial Intelligence and Machine Learning are to
enhance C2, Communications, Sensors, Integration and Interoperability.
On the basis of Artificial Intelligence (AI) and Machine Learning (ML) with
Microsoft Common Objects in Context (MS-COCO) or Limpid Armor Inc.
"COORDINATION ISSUES OF THE MILITARY-TECHNICAL AND DEFENSE-INDUSTRIAL POLICY
IN UKRAIN
PLENARY SESSION |
77
(Ukraine) technologies the Synthesis of Augmented Reality Symbols can be
provided. It enables target acquisition, targeting of moving targets (single or
swarm), coordination and deconfliction of distributed Join Fires between networked
combat vehicles, tanks, ships etc. also inside Manned and Unmanned Teams
(MUM-T). Smirnov V.O., PhD, Senior Scientific Researcher
Central RI AME AF of Ukraine
ACTUALIZATION OF THE TASK OF CREATING A LIFECYCLE
MANAGEMENT SYSTEM FOR ARMAMENTS AND MILITARY
EQUIPMENT IN UKRAINE
The need to create a lifecycle management system for armaments and
military equipment (LCMS AME) in Ukraine is due to several factors, and, first
of all, the imperfection of the existing lifecycle management system for AME.
There are several aspects here. Admitting to the troops in the process of
rearmament of the army and navy modern high-tech equipment should be
maintained in constant readiness for its intended purpose. This is especially true
when performing time-consuming, medium, major and major overhaul with
modernization. These types of repair are capable of performing only
organizations - manufacturers of defense-industrial complex (DIC).
Another, equally important aspect is the lifetime of the equipment. For a
large part of the AME it is ten years. They may undergo several upgrades during
this period. This will save considerable money on the purchase of new samples.
And without serious logistical support from DIC organizations, this task is
impossible.
The main disadvantages of the current LCMS AME are the following:
the main contractors for the creation, production, repair of products are
responsible for the quality of work only within a separate stage of the life cycle.
At the same time, the work performed at different stages of the lifecycle products
remains weakly interdependent, and the overall goal of control for the entire
lifecycle is not fully achieved;
there is no effective mechanism for engaging industry to perform
maintenance and repair work;
the participants of the lifecycle products are not provided with complete
and up-to-date information about the lifecycle, first of all, information about the
actual indicators of reliability, readiness, consumption of resources, costs of the
lifecycle;
continuous monitoring of the values of the tactical and technical
characteristics of the products, the value costs of the lifecycle, from designing the
product to its decommissioning, is not provided;
Conference Paper
Artificial intelligence is primed to disrupt our society and the industry. The AI trend of technological singularity is continuously accelerating and is being employed to the different facets of humanity from education, medicine, business, engineering, arts and the like. Government and private companies have been hooked up with this fast pacing technology. AI may displace some non-digital jobs that performs heavy load and repetitive tasks, but it certainly augments labor shortage by realigning the workforce competitiveness to what the technology requires. The diffusion of AI technology is necessary for mental shift of the government and industry leaders to adopt the technology. Research and development is very promising to uplift mankind to faster productivity and positively affect the industries in international perspective. The Philippines is still coping up with the adoption of AI system, but it can steer up globally by strengthening the technology governance of strictly implementing the policies with measures the PDP 2017-2022 and its HNRDA.
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