Command System Research Articles

The New Method for Increasing the Efficiency of Vectorization of BLAS Operations

The issue of increasing the efficiency of software for computing architectures that support vector extensions of the command system is considered. Modern compilers can perform automatic vectorization of calculations, convert programs from a scalar representation to a vector implementation. The paper analyzes the effectiveness of automatic vectorization performed by modern compilers, discusses the problems inherent in automatic vectorization. A new algorithm for vectorization of calculations is proposed, which allows to significantly increasing the efficiency of the resulting software.

The Commander’s Place on the Battlefield

News of Russian generals getting killed on the battlefields raises the question of whether a commander should lead an operation remotely, taking advantage of improved technical capabilities, or whether his presence close to the battlefield is necessary to meet the needs of his troops. The requirements of multi-domain operations and multi-domain integration call for command posts with enhanced capabilities along human, informational and physical dimensions. Unfortunately, these types of command posts have become very large, easily recognisable and vulnerable to attack. Alexander Kohli argues that commanders should not exclusively remain in remote command posts but should also provide support close to the front through personal contact with subordinate commanders and troops. Therefore, they must be able to rely on a command post concept encompassing several smaller forward and alternate command posts operating inconspicuously, yet capable of using a comprehensive command and control system. ◼

Коллизии политической целесообразности и законности в интерпретации сущности права на примере СССР 1920–1930-х годов и современных стран Запада

The article discusses the issues of conflicts of the essence of law in the approaches of Soviet scientists and statesmen of the USSR in the 30s and their analogies in modern conditions, using the example of the legal policy of Western countries in relation to the Russian Federation. The author focuses on the problem of politicization of the principle of expediency both in the law of the USSR and in the modern conditions of the sanctions pressure of Western countries on Russia. The article points out the positive and negative aspects of revolutionary expediency within the framework of the administrative command system and the mechanism of legal regulation in the USSR. And also — on the illegality of the priority of political expediency and certain “rules” in the politics of Western countries over international law in modern conditions. In conclusion, the author concludes that the interests of both the revolutionary expediency in the USSR and the representatives of the “deep state” in the modern United States are directly dependent on collisions in the assessments of the essence of law, which are mediated by the political and economic interests of the dominant forces.

Civil Protection in Europe: Towards a Unified Command System? Update on knowledge-sharing work and future actions

In the context of climate change, increasing disaster severity and extension, the paper suggests to DGECHO, agency managing the European civil protection mechanism, an improvement for joint operations command-and-control practices. It constitutes an update of Monet et al. (2020) paper, enhancing the work progresses in terms of analysis, applicability, monitoring and training. In this perspective, the work of the authors is completely dedicated to the improvement of interoperability when different (national) civil protection forces work together, to respond to emergencies or disasters. Building on theoretical comparative studies, this opinion paper now relies on an interoperability monitoring tool and consolidates the ways on defining the future for an “European Command System”, proposing innovative operational practices by associating knowledge exchange and operational training. Actually, the presentation will depict how to organize a training strategy at European level, alternating international and regional courses, to pave the way for future harmonization.

Developing Different Test Conditions to Verify the Robustness and Versatility of Robotic Arms Controlled by Evolutionary Algorithms

In this paper, different test cases where robotic arms are tested will be presented. A robotic arm is tested for the gravity effects that can be observed on it. The other robotic arm is tested for how much precision it has by using it to learn to write. The other robotic arm is tested on how well it can function as a solar tracker and how precisely it can function as an energy harvester. On the basis of these tests, the robotic arm’s mechanical structure, electronics, and software are put to the test. The software is based on evolutionary software that implements genetic algorithms. The entire command system is also ported to FPGAs (to hardware) to increase speed and response time.

Lessons for tomorrow: The role of relationships and mindfulness in sustaining services during a crisis.

The COVID-19 pandemic placed unprecedented demands on hospitals around the globe, making timely crisis response critical for organizational success. One mechanism that has played an effective role in health care service management during large-scale crises is the Hospital Incident Command System. The aim of this article was to understand the role of HICS in the management of a large academic medical center and its impact on relationships and communication among providers in the delivery of services during a crisis. This mixed methods study was based on meeting observations, document reviews, semistructured interviews, and two measures of team performance within an academic medical center in the Northeast during the COVID-19 pandemic. Descriptive and bivariate analyses were applied, and qualitative data were coded and analyzed for themes. HICS provided a systematic information-sharing and decision-making process that increased communication and coordination among team members. Analyses indicate a correlation between dimensions of relational coordination and organizational mindfulness. Qualitative data revealed the importance of shared meetings and huddles and the evolution of HICS across multiple waves of the crisis. HICS facilitated organizational improvements during the crisis response and generated opportunities to maintain specific coordination practices beyond the crisis. The prolonged implementation of HICS during the COVID-19 pandemic created challenges, including the disruption of the routine leadership structure. Applying relational coordination and organizational mindfulness frameworks may allow hospitals to leverage communications and relationships within a high-stakes environment to improve service delivery.

Chaff Cloud Integrated Communication and TT&C: An Integrated Solution for Single-Station Emergency Communications and TT&C in a Denied Environment

In response to potential denial environments such as canyons, gullies, islands, and cities where users are located, traditional Telemetry, Tracking, and Command (TT&C) systems can still maintain core requirements such as availability, reliability, and sustainability in the face of complex electromagnetic environments and non-line-of-sight environments that may cause service degradation or even failure. This paper presents a single-station emergency solution that integrates communication and TT&C (IC&T) functions based on radar chaff cloud technology. Firstly, a suitable selection of frequency bands and modulation methods is provided for the emergency IC&T system to ensure compatibility with existing communication and TT&C systems while catering to the future needs of IC&T. Subsequently, theoretical analyses are conducted on the communication link transmission loss, data transmission, code tracking accuracy, and anti-multipath model of the emergency IC&T system based on the chosen frequency band and modulation mode. This paper proposes a dual-way asynchronous precision ranging and time synchronization (DWAPR&TS) system employing dual one-way ranging (DOWR) measurement, a dual-way asynchronous incoherent Doppler velocity measurement (DWAIDVM) system, and a single baseline angle measurement system. Next, we analyze the physical characteristics of the radar chaff and establish a dynamic model of spherical chaff cloud clusters based on free diffusion. Additionally, we provide the optimal strategy for deploying chaff cloud. Finally, the emergency IC&T application based on the radar chaff cloud relay is simulated, and the results show that for severe interference, taking drones as an example, under a measurement baseline of 100 km, the emergency IC&T solution proposed in this paper can achieve an accuracy range of approximately 100 m, a velocity accuracy of 0.1 m/s, and an angle accuracy of 0.1°. In comparison with existing TT&C system solutions, the proposed system possesses unique and potential advantages that the others do not have. It can serve as an emergency IC&T reference solution in denial environments, offering significant value for both civilian and military applications.

Why are emergency responses ineffective and inefficient? Lessons learnt from past events

Effective and efficient emergency responses can significantly reduce damage to personnel, properties, and the environment. However, responses to emergencies are not always satisfactory. The Functional Resonance Analysis Method (FRAM) is a powerful tool for modeling and analyzing sociotechnical systems and processes, such as emergency responses. This study aimed to investigate real emergency responses using FRAM. First, a FRAM model of the emergency response process, including 21 functions, was built to explain how it is accomplished. Then, three case studies were investigated to demonstrate the applicability of the FRAM model to emergency responses. Functional variability-based analyses were conducted to identify weak points in each response. The results of this study showed that two functions with significant variability appeared in all three case studies: "developing Incident Action Plan (IAP)" and "assigning roles and responsibilities". The variability of these two functions should be managed; otherwise, it can propagate in the emergency response process, affect downstream functions, and result in negative outcomes. Effective implementation of Incident Command System (ICS) and enhancing the improvisation capacity of the organization both deem to be damping factors for successfully managing variability during emergency responses.

Development and Evaluation of an Immersive Cinematic Escape Room for Disaster Preparedness and Self-Efficacy Among Nurses

BackgroundThe occurrence of natural disasters is unpredictable. Nurses need to have the core competency of disaster nursing to effectively respond to natural disasters. This study aimed to develop and evaluate the effectiveness of an immersive cinematic escape room (ICER) instructional approach in disaster preparedness and self-efficacy in nurses. MethodThis quasi-experimental research design used a convenience sample of 115 nurses. The course contents covered establishment of medical stations, incident command system (ICS), personal preparedness and protection in disasters, and mass casualty triage (START). Evaluation of disaster preparedness and self-efficacy occurred before, one week after and four weeks after the course. ResultsThe experimental group, lacking prior disaster preparedness education experiences, demonstrated a statistically significant improvement (p < .01) compared to the control group with more such experiences. At week four, both groups showed improvement in the self-efficacy scores, but the improvement did not achieve statistical significance (p > .05). ConclusionThe ICER approach significantly enhanced nurses’ disaster preparedness and self-efficacy. Educators are encouraged to adopt this approach for comprehensive disaster nursing education.

Hardware-in-the-loop simulation to validate the fractional-order neuro-fuzzy power control of variable-speed dual-rotor wind turbine systems

New and efficient command strategies and algorithms are needed in the field of wind turbine energy generation to ensure power quality according to international standards. However, conventional linear strategies are still used to command doubly-fed induction generators (DFIGs). Thus, inadequate power quality is obtained, which can cause network-level disturbances. This Hardware-in-the loop (HIL) study presents a new command scheme for a DFIG-based dual-rotor wind turbine (DRWT) system. The new command is a combination of a neuro-fuzzy algorithm and fractional-order control that overcomes the declining power quality of the DFIG-DRWT system. The new strategy is based on using pulse width modulation to generate command pulses for the rotor-side converter of DFIG. In the designed command system, the reference value of the active power is determined using maximum power point tracking to provide efficient power conversion performance under different operating conditions. First, MATLAB software is used to implement the fractional-order neuro-fuzzy (FONF) control technique, and the behavior of the proposed strategy is studied in comparison to that of the traditional direct power command (DPC) technique. A comparison is performed in terms of the ripple minimization ratio, durability, overshoot, steady-state error, reference tracking, and current quality. The results of the comparison show the high performance of the FONF technique. Second, the FONF technique is implemented in HIL test using the dSPACE 1104 Card, where two different forms of wind speed are used to study the characteristics of the proposed strategy and confirm its effectiveness and performance in HIL test compared to DPC technique. The experimental results obtained in the two tests confirm the efficiency, effectiveness, and high performance of the proposed FONF technique compared to DPC technique in improving the energy system characteristics, and the simulation obtains the same results.

Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals.

Currently, surface EMG signals have a wide range of applications in human-computer interaction systems. However, selecting features for gesture recognition models based on traditional machine learning can be challenging and may not yield satisfactory results. Considering the strong nonlinear generalization ability of neural networks, this paper proposes a two-stream residual network model with an attention mechanism for gesture recognition. One branch processes surface EMG signals, while the other processes hand acceleration signals. Segmented networks are utilized to fully extract the physiological and kinematic features of the hand. To enhance the model's capacity to learn crucial information, we introduce an attention mechanism after global average pooling. This mechanism strengthens relevant features and weakens irrelevant ones. Finally, the deep features obtained from the two branches of learning are fused to further improve the accuracy of multi-gesture recognition. The experiments conducted on the NinaPro DB2 public dataset resulted in a recognition accuracy of 88.25% for 49 gestures. This demonstrates that our network model can effectively capture gesture features, enhancing accuracy and robustness across various gestures. This approach to multi-source information fusion is expected to provide more accurate and real-time commands for exoskeleton robots and myoelectric prosthetic control systems, thereby enhancing the user experience and the naturalness of robot operation.

Hospital preparedness assessment for road traffic accidents with mass casualties: a cross-sectional study in Kurdistan Province, Iran

BackgroundRoad traffic accidents (RTAs) are predicted to become the world’s seventh leading cause of death by 2030. Given the significant impact of RTAs on public health, effective hospital preparedness plays a pivotal role in managing and mitigating associated health and life-threatening issues. This study aims to meticulously evaluate the preparedness of selected hospitals in western Iran to handle road traffic accidents with mass casualties (RTAs-MC).MethodsThe study employed a descriptive-analytical approach, utilizing a reliable and valid questionnaire to measure hospitals’ preparedness levels. Descriptive statistics (frequency distribution and mean) were utilized to provide an overview of the data, followed by analytical statistics (Spearman correlation test) to examine the relationship between hospital preparedness and its dimensions with the hospital profile. Data analysis, performed using SPSS software, categorized preparedness levels as weak, moderate, or high.ResultsThe study found that hospitals in Kurdistan province had a favorable preparedness level (70.30) to respond to RTAs-MC. The cooperation and coordination domain had the highest preparedness level (98.75), while the human resource management (59.44) and training and exercise (54.00) domains had the lowest preparedness levels. The analysis revealed a significant relationship between hospital preparedness and hospital profile, including factors such as hospital specialty, number of beds, ambulances, staff, and specialized personnel, such as emergency medicine specialists.ConclusionEnhancing preparedness for RTAs-MC necessitates developing response plans to improve hospital profile, considering the region’s geographic and topographic features, utilizing past experiences and lessons learned, implementing of Hospital Incident Command System (HICS), providing medical infrastructure and equipment, establishing communication channels, promoting cooperation and coordination, and creating training and exercise programs.

Research on Road Geological Hazard Risk Assessment Model Based on Computational Deep Learning Algorithm Integrated With GIS

This paper studies the geological disaster emergency command and management system based on geographic information system. This system is for the province, city, county land resources and other aspects of the comprehensive application, the realization of real-time information display, meteorological early warning, group measurement and mass prevention, monitoring and early warning, major disaster management, prevention plan, quick report processing, emergency investigation, emergency disposal, emergency consultation and other functions. Through the GSM network, the monitoring data is sent to the monitoring center through the mobile phone, and then the monitoring center processes, stores, displays and alarms the monitoring data. Finally, B/S structure is used to build a remote Web data service publishing platform, so that it can carry out real-time monitoring at any place, and improve the speed, efficiency and intuition of high-speed slope disaster. It is proved that the method has the advantages of stable operation, accurate data, fast transmission speed and high monitoring accuracy through the practical application of a highway project foundation pit slope monitoring.

Научная политика СССР в 1950-е–начале 1980-х годов в исследованиях советских и американских ученых

In the 1950s the leadership of the USSR began to realize the country’s technological lag behind the advanced Western countries. In this regard, the Soviet Union began to transform its scientific policy. The search for optimal mechanisms for the organization of science continued until the end of the Soviet period. Scientists and historians of science, being direct participants in these events, assessed the ongoing transformation. This assessment has not always been objective. Nowadays, thanks to new computer technologies, researchers have access to the documents of American specialists who studied the main mechanisms of our country’s scientific policy at the state level in the 1970s-1980s. The purpose of the paper is to compare the conclusions of Soviet and American specialists who studied the scientific policy of the USSR in the 1970s-1980s, and to identify assessments of the main mechanisms for the implementation of scientific policy in the USSR. The main sources of the work were reports by American members of the working group on the study of scientific policy, which had not been used before in Russian historiography. After conducting a comparative analysis of the works, the author comes to the conclusion that Soviet scientific policy developed in the general global mainstream. Some of the science management mechanisms developed in the USSR were innovative. Others did not work at all in the absence of competition and a rigid command system.

A Loop-Gain-Adaptive-Adjustment Method Based on Fuzzy Logic for Timing Recovery in Space TT&amp;C Systems

This work proposes an loop-gain-adaptive-adjustment (LGAA) algorithm for the timing recovery tracking loop in space tracking, telemetry and command (TT&C) systems. The proposed algorithm generates an adjustment coefficient by using a fuzzy logic (FL) controller, which is designed based on the tracking loop convergence characteristics. The proposed algorithm could enhance the performance of the timing recovery without changing other parameters of the tracking loop. Simulation results show that the proposed LGAA-based tracking loop achieves a better balance between locking time and tracking accuracy compared to the conventional tracking loop that uses a fixed loop gain.

건축물 화재안전에 관한 관련법상 연구

Every time a major fire incident occurs, such as the Seocheon Specialized Market fire incident in South Chungcheong Province on January 22, 2024, the fire safety management authorities, including the central government (Ministry of Public Administration and Security, National Fire Agency) and local governments (local governments, fire stations), have revised organizations, mechanisms, and laws and promised to prevent recurrence. However, they are unable to effectively manage fire safety due to overlapping duties between fire safety management departments, dual regulations in fire-related laws, deficiencies in on-site command systems, and the public's insensitivity to disaster safety. Protecting the lives, bodies, and property of citizens from various unexpected fires aligns with the objectives of the「Constitution」,「Basic Fire Fighting Act」,「Fire-related Laws」, and「Building- related Laws」. This paper aims to present the problems and improvement directions of the laws related to fire safety management in buildings, followed by personal opinions and methods for enhancing public fire safety awareness and conducting education.

Exploring hospital resilience protective or risk factors: lessons for future disaster response efforts.

Hospital resilience is essential in responding to disasters, but current research focuses mainly on frameworks and models rather than the protection of resilience and analysis of risk factors during public health emergencies. This study aims to examine the development of resilience in Chinese frontline hospitals during the initial COVID-19 outbreak in 2020, providing insights for future disaster response efforts. We conducted interviews with 26 hospital staff members who were involved in the initial response to the COVID-19 outbreak in China. We used a semi-structured interview approach and employed purposive sampling and snowball sampling techniques. The interview outline was guided by the 'Action Framework' proposed by the World Health Organization (WHO) for responding to infectious disease emergencies. This framework includes dimensions such as command, surveillance, risk communication, medical response, and public health response. We analyzed the collected data using Colaizzi's seven-step data analysis method and the template analysis method. WHO's 'action framework' effectively highlights the factors that contribute to hospital resilience. While medical response, including the availability of materials and facilities, the use of information technology, and the capacity for infectious disease diagnosis and treatment, remains crucial, other important aspects include awareness and beliefs about infections, treatment experience, interdisciplinary collaboration, and more. Additionally, it is essential to establish an intelligent command system, foster trusting partnerships between teams, improve monitoring capabilities for infectious disease agents, enhance risk communication through information synchronization and transparency, strengthen infection control planning, and improve environmental disinfection capabilities for effective public health emergency response. These contradictions significantly impact the enhancement of hospital resilience in dealing with major infectious disease outbreaks. In responding to sudden major infectious diseases, hospitals play a vital role within the healthcare system. Enhancing hospital resilience involves more than just improving treatment capabilities. It also requires effective command coordination at the hospital level, infection control planning, and the deployment of intelligent equipment. Additionally, planning for effective communication and coordination between hospitals, communities, and the national healthcare system can further enhance hospital resilience.

Empowering coffee farming using counterfactual recommendation based RNN driven IoT integrated soil quality command system

Soil health is essential for whirling stale soil into rich coffee-growing land. By keeping healthy soil, coffee producers may improve plant growth, leaf health, buds, cherry and bean quality, and yield. Traditional soil monitoring is tedious, time-consuming, and error-prone. Enhancing the monitoring system using AI-based IoT technologies for quick and precise changes. Integrated soil fertility control system to optimize soil health, maximize efficiency, promote sustainability, and prevent crop threads using real-time data analysis to turn infertile land into fertile land. The RNN-IoT approach uses IoT sensors in the coffee plantation to collect real-time data on soil temperature, moisture, pH, nutrient levels, weather, CO2 levels, EC, TDS, and historical data. Data transmission using a wireless cloud platform. Testing and training using recurrent neural networks (RNNs) and gated recurrent units gathered data for predicting soil conditions and crop hazards. Researchers are carrying out detailed qualitative testing to evaluate the proposed RNN-IoT approach. Utilize counterfactual recommendations for developing alternative strategies for irrigation, fertilization, fertilizer regulation, and crop management, taking into account the existing soil conditions, forecasts, and historical data. The accuracy is evaluated by comparing it to other deep learning algorithms. The utilization of the RNN-IoT methodology for soil health monitoring enhances both efficiency and accuracy in comparison to conventional soil monitoring methods. Minimized the ecological impact by minimizing water and fertilizer utilization. Enhanced farmer decision-making and data accessibility with a mobile application that provides real-time data, AI-generated suggestions, and the ability to detect possible crop hazards for swift action.

Assessing Challenges in Police and Private Security Partnership in Nairobi County, Kenya

In Nairobi County, Kenya, maintaining public safety needed coordination between private security firms and law enforcement. The primary goal of this study was to properly examine the obstacles they encountered. The study's purpose was to define the nature of collaboration within the historical framework of shared responsibilities, with an emphasis on identifying and comprehending the barriers to constructive cooperation.&#x0D; Our research took a complete approach, combining quantitative and qualitative methodologies inspired by the differential link notion and the theoretical foundations of systems theory. Nairobi was chosen as the primary data collection hub since it is home to many state and private security service providers.&#x0D; The results revealed a statistically significant link (r = 0.682; p 0.05) between the police force and private security firms, emphasizing the importance of their collaborative efforts to ensure public safety in Nairobi County. Accountability issues, insufficient information exchange, and a lack of a regulatory framework were discovered to be complicated (R2 = 0.713). Surprisingly, insufficient manpower, a lack of resources, and a centralized command system were the key causes of these failures.&#x0D; This study considerably contributed to the body of knowledge by filling a significant data vacuum regarding police-private security collaborations in Kenya. It also acted as a springboard for further research, supporting a more in-depth examination of Kenya's entire population preservation policy.&#x0D; The information acquired from this investigation was critical for politicians, law enforcement, and private security interests. The detailed examination and analysis of these limitations provided the basis for proposing targeted solutions that may improve collaboration, make the best use of available resources, and improve public safety throughout Nairobi County. This summary, which contained the methodology, important findings, and study impact, communicated the core goal of our investigation concisely and clearly.

Rebel Institutionalization, Religious Holidays, and Political Violence

Abstract Identifying a clear relationship between rebel group structures and the use of violence faces the challenge that group structures rarely change over time. We exploit the analytical advantage provided by long religious holidays to address this issue using the principal-agent framework. Religious holidays serve as a focal point and reduce group coordination costs, but also raise the societal costs of violence. We argue the principal of rebel groups is more sensitive to the increased societal costs than the agents and thereby attempts to restrain the agents from attacking during religious holidays. However, the success of these attempts depends on the group’s institutionalization level. Long religious holidays exacerbate the principal-agent problem due to the high costs of restraining agents from attacking for an extended period, making them the most likely case for our analysis. We test the theory by first conducting microlevel analysis of Islamic separatist groups in three Southeast Asian countries and then analyzing a cross-sectional sample of Islamic rebel groups. Results show that highly institutionalized groups that have a central command system and control over constituent groups are less likely to attack during long religious holidays than on other days, and vice versa for weakly institutionalized groups.