scholarly journals STATE-OF-THE-ART TECHNOLOGIES TO BE USED IN COMMAND AND CONTROL SYSTEMS

2021 ◽  
Vol 10 (2) ◽  
pp. 54-63
Author(s):  
Cezar POPA ◽  
Ion MITULEȚU
Keyword(s):  
Artificial Intelligence ◽  
Control Systems ◽  
Information Technologies ◽  
State Of The Art ◽  
Command And Control ◽  
Operational Environment ◽  
Military Operation ◽  
Advanced Technologies ◽  
And Control ◽  
The Military

With the diversification of risks and threats in the multidimensional operational environment, in variable geometry conflicts, state-of-the-art technology must be used at all times in the architecture of command and control systems. This will ensure optimal response conditions both at the planning level and at the level of the execution of the military operation/action. Real-time communication, horizontally and vertically, between tactical level forces, operational and strategic level command and support structures, and with other institutions with security and defence responsibilities can only be ensured and protected by using advanced technologies. Not to be neglected at all is the training of the human resource for an efficient use of equipment as well as the algorithms and processes for making an efficient decision-making process, in line with technical, technological and artificial intelligence developments.   Keywords: command and control; artificial intelligence; efficiency; technologies; 'Information Technologies.  

scholarly journals Drone Deep Reinforcement Learning: A Review

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 999
Author(s):  
Ahmad Taher Azar ◽  
Anis Koubaa ◽  
Nada Ali Mohamed ◽  
Habiba A. Ibrahim ◽  
Zahra Fathy Ibrahim ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
State Of The Art ◽  
Real Life ◽  
Environment Monitoring ◽  
Simulated Environments ◽  
Infrastructure Inspection ◽  
Remote Sensing Mapping ◽  
And Control ◽  
The Military ◽  
Uav Navigation

Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and diversified applications. These applications belong to the civilian and the military fields. To name a few; infrastructure inspection, traffic patrolling, remote sensing, mapping, surveillance, rescuing humans and animals, environment monitoring, and Intelligence, Surveillance, Target Acquisition, and Reconnaissance (ISTAR) operations. However, the use of UAVs in these applications needs a substantial level of autonomy. In other words, UAVs should have the ability to accomplish planned missions in unexpected situations without requiring human intervention. To ensure this level of autonomy, many artificial intelligence algorithms were designed. These algorithms targeted the guidance, navigation, and control (GNC) of UAVs. In this paper, we described the state of the art of one subset of these algorithms: the deep reinforcement learning (DRL) techniques. We made a detailed description of them, and we deduced the current limitations in this area. We noted that most of these DRL methods were designed to ensure stable and smooth UAV navigation by training computer-simulated environments. We realized that further research efforts are needed to address the challenges that restrain their deployment in real-life scenarios.

The Special Corps of Railway Troops’ command and control staff training in the Moscow Military Railway School (1932–1941)

2021 ◽  
pp. 191-199
Author(s):  
Denis S. Lapay
Keyword(s):  
Staff Training ◽  
Historical Memory ◽  
Command And Control ◽  
Time Frame ◽  
Teaching Staff ◽  
School Activities ◽  
Red Army ◽  
And Control ◽  
The Military ◽  
And Training

The study is devoted to the Moscow Military Railway School activities in the command and control staff qualifying for the Special Corps of Railway Troops during its existence from 1932 to 1941. The relevance of the research is due to the lack of the issues of construction and training studies of the Special Railway Corps military personnel and the little studied aspects of command and control staff training in the Moscow Military Railway School during the period of Russian historiography. Factor analysis of justification of Railway School foundation historical necessity is carried out. We reveal the main activities of the military authorities, management and teaching staff of the school to train specialists for the Railway troops of the Workers’ and Peasants’ Red Army. The experience of deploying the material and training base of the military school within a limited time frame is analyzed. The specificities of the school’s variable staffing system are also noted. The background for the school establishment discontinuing is analyzed, and the conclusion is drawn that this reorganization in March 1941 on the eve of the Great Patriotic War is unjustified, as well as the need to restore historical memory of the school.

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