Intelligent Command Research Articles

Implementing an artificial intelligence command centre in the NHS: a mixed-methods study

Implementing an artificial intelligence command centre in the NHS: a mixed-methods study

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.

Exploring the Intelligent Emergency Management Mode of Rural Natural Disasters in the Era of Digital Technology

In recent years, rural areas of China have experienced frequent occurrences of various natural disasters. These calamities pose significant threats to the safety, property, and mental well-being of rural residents while also presenting substantial obstacles to the sustainable development of the rural economy. Currently, emergency management in China faces several challenges such as inadequate emergency institutions, insufficient security policies, weak disaster infrastructure, and difficulties in information sharing. In light of this situation, we propose an intelligent command mode based on modern digital technology that capitalizes on its advantages and integrates early warning systems with decision-making processes and rescue operations to establish a comprehensive emergency event processing system. This innovative approach opens up new avenues for exploring and researching effective modes of rural emergency management. The article elaborates on how the construction of a smart rural emergency management mode facilitates the digital integration of disaster elements while enhancing the efficiency of emergency response efforts and promoting sustainable development. The research methodology employed includes literature review methods along with field research techniques and analysis methods. Finally, this discussion evaluates both the benefits and challenges associated with implementing this mode within rural emergency management practices.

A novel robust adaptive neuro-sliding mode steering controller for autonomous ground vehicles

This paper intends to harness recent advances in intelligent commands to develop a novel steering control strategy for autonomous ground vehicles (AGVs) maneuvering problems. In this research, the vehicle is embodied by a single track-model (ST) taking into consideration its lateral dynamics. Besides, it is subject to unknown disturbances and uncertainties, associated with the tire/road adhesion coefficient, which are upper bounded by a positive limit. An on-line Radial Basis-function Neural-Networks (RBNN) adaptive mechanism is designed to estimate this upper limit in the sense of Lyapunov. On this basis, a novel robust adaptive neuro-sliding mode steering angle controller (AN-SMC) is introduced. Whilst the effectiveness of the controller is impacted by its parameters, a new neural-network optimization algorithm (NNA) is employed to provide optimal values for these settings. The proposed approach is evaluated through a single lane-change-maneuver planned out by a new methodology. The steering controller revealed a powerful path-tracking via the comparisons carried out in support of the developed strategy.

Canada's Defence Intelligence Toolkit

On November 22, 2022, Lane Anker, Acting Assistant Chief of Defence Intelligence (ACDI) Canadian Forces Intelligence Command (CFINTCOM), presented on Canada's Defence Intelligence Toolkit. The key points discussed were the role and structure of CFINTCOM, the major global disruption points impacting Canada, and the means available to Canadian defence intelligence to address these challenges. Received: 2023-05-12 Revised: 2023-05-22

Nature-Skin-Derived e-Skin as Versatile "Wound Therapy-Health Monitoring" Bioelectronic Skin-Scaffolds: Skin to Bio-e-Skin.

Electronic skins (e-skins) have the potential to turn into breakthroughs in biomedical applications. Herein, a novel acellular dermal matrix (ADM)-based bioelectronic skin (e-ADM) is used to fabricate versatile "wound therapy-health monitoring" tissue-nanoengineered skin scaffolds via a facile "one-pot" bio-compositing strategy to incorporate the conductive carbon nanotubes and self-assembled micro-copper oxide microspheres with a cicada-wing-like rough surface and nanocone microstructure. The e-ADM exhibits robust tensile strength (22MPa), flexibility, biodegradability, electroactivity, and antibacterial properties. Interestingly, e-ADM exhibits the pH-responsive ability for intelligent command between sterilization and wound repair . Additionally, e-ADM enables accurate real-time monitoring of human activities, providing a novel flexible e-skin sensor to record injury and motions. In vitro and in vivo experiments show that with electrical stimulation, e-ADM could prominently facilitate cell growth and proliferation and further promote full-thickness skin wound healing, providing a comprehensive therapeutic strategy for smart sensing and tissue repair, guiding the development of high-performance "wound therapy-health monitoring" bioelectronic skin-scaffolds.

The Auxiliary Role of Artificial Intelligence in the Intelligent Creation and Conducting of Symphony

In order to improve the effect of symphony intelligent creation and command, this paper combines artificial intelligence technology to study the symphony intelligent creation and command system. Moreover, this paper designs three common signal conditioning circuits, namely gain-adjustable circuit, universal high-order filter, and D/A converter, and implements them in a cross-coupled POTA-based FPAA array. In addition, this paper verifies the programmability and correctness of these three signal conditioning circuits through simulation analysis in cadence software. Finally, this paper builds a simulation system based on the requirements of symphony intelligent creation and conducting. Through the simulation evaluation, it can be seen that the symphony intelligent creation and command system based on artificial intelligence proposed in this paper has a good simulation effect in the symphony intelligent creation and command system, and can play an important role in the symphony intelligent creation and command.

In the eye of the Sphinx: US army intelligence collection and surveillance, 1965–1970

ABSTRACT From 1965 to 1970, the United States Army executed a widespread program of surveillance of civilian political activity within the United States. The program’s originator was the US Army Intelligence Command, a geographically widespread counterintelligence organization built for the mission of protecting the army from foreign intelligence adversaries. Within Intelligence Command, this mission engendered an organizational culture that valued supporting the army above all else, including regulatory and legal restrictions. When the domestic disorders of the late 1960s necessitated repeated federal responses, Intelligence Command became the primary instrument for collecting information related to civil disturbances. Imbued with this culture, counterintelligence agents across the country conducted continuous surveillance of individuals, groups, and activities across the political spectrum. Yet, even when later exposed and under intense public scrutiny, Intelligence Command’s mission focus never wavered, thereby demonstrating the danger when the culture of an intelligence organization clashes with its legal limits.

Constitutional-legal aspects of information security in the context of globalization

One of the main issues of world politics since the 21st century is a scientific and technological breakthrough that can have far-reaching consequences in all areas of human activity. The computerization and information revolution have led to scientific and technological progress in the military field. The application of high technology has radically changed the nature and capabilities of conventional armaments, intelligence and military command systems, and expanded the possibilities of long-distance warfare. Today, the tactics of creating conflicts in many military and other fields with the help of information technology are changing in the world. Who controls information and misinformation plays an important role. Sometimes misinformation becomes a dangerous weapon. Although the existing terms "Information Security" and "Information War" are more commonly used in the military field, they are beginning to take on a slightly different meaning with the development of mass media and communication technologies. This article identifies the legal characteristics and legal specifics of the information rights of citizens, proclaimed by the Constitution of Azerbaijan. The article substantiates the need to consider the constitutional and legal foundations of information security as a complex political and legal phenomenon. It is proposed to analyze the constitutional and legal aspects of information security in the synthesis of constitutional ideology, constitutional theory and constitutional practice of the development of Azerbaijani statehood. The author proves that the constitutional legal provision of the information security of Azerbaijan considers positive international experience in this field

Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol

IntroductionThis paper presents a mixed-methods study protocol that will be used to evaluate a recent implementation of a real-time, centralised hospital command centre in the UK. The command centre represents...

A model for the assessment, care, and treatment of suicidal risk within the military intelligence community

ABSTRACT This paper describes the development of a behavioral health and wellness model into the US Army Intelligence and Security Command (INSCOM) to address concerns about suicide within this community. In response to stresses existing within the intelligence community (IC), INSCOM partnered with the Army Public Health Center (APHC) to assess the health and wellbeing of Command personnel. A Community Health Assessment (CHA) survey was conducted (N = 2,704 Soldiers; N = 959 Civilians) that included focus groups across three installations and secondary source data. Six key areas were prioritized: suicide behavior, behavioral health access to care and health promotion, behavioral health stigma and maintaining clearances, workplace environment, sleep health, and overall fitness. Several actions were implemented to address the report’s findings and recommendations. A Command Surgeon office was established within INSCOM. An INSCOM Health Assessment and Readiness Team (I-HART) was established. The Deputy Undersecretary of the Army provided support to address suicide within INSCOM by approving 4 highly qualified experts (HQE’s) in behavioral health and clinical suicidology to provide research oversight and make recommendations. The Command General approved 8 behavioral health providers. There are planned research efforts within the command focusing on scalable and technology enabled care delivery to improve mental well-being and decrease suicides.

Components and Features of Intelligent Command and Control on the Battlefield

تجربیات جنگ­های اخیر نشان داده است که شبکه‌های فرماندهی و کنترل منسجم و هوشمند به‌عنوان اصلی‌ترین رکن فرماندهی و اداره صحنه نبرد است. بنابراین این پژوهش با هدف تعیین مؤلفه‌ها و ویژگی­های فرماندهی و کنترل هوشمند در صحنه نبرد انجام شد. روش تحقیق با رویکرد کیفی با استفاده از روش توصیفی، تحلیلی و نوع تحقیق کاربردی است. نوع تجزیه‌وتحلیل بکار رفته در این تحقیق با استفاده از آمار ناپارامتریک استنباطی (تحلیل بار عاملی از طریق لیزرل در نرم­افزار SPSS ) و توصیفی (فراوانی و میانگین) بود. نتایج تحقیق نشان داد که فرماندهی و کنترل هوشمند در صحنه نبرد به ترتیب شامل چهار مؤلفه­ است که عبارت‌اند از: 1) تصمیم­گیری با پنج ویژگی 2) اقدام با سه ویژگی 3) مشاهده با هشت ویژگی 4) توجیه با چهار ویژگی.

Sustainable Fault Diagnosis of Imbalanced Text Mining for CTCS-3 Data Preprocessing

At present, the method for fault diagnosis and maintenance of the CTCS-3 (Chinese Train Control System Level 3) electronic equipment relies too heavily on expert knowledge. Moreover, the use of historical fault data is not valued. This paper proposes a sustainable fault diagnosis model based on imbalanced text mining. First, to process fault data from the field recorded in natural language, natural language processing technology is used to extract fault feature words. Then, a term frequency-inverse document frequency model is used to transform the fault feature words extracted from the database into vectors. It is worth noting that imbalance in the fault samples affects the accuracy of this sustainable fault diagnosis model. To solve this problem, we use the borderline-synthetic minority over-sampling technique in the step of predicting train fault components, we also use the backpropagation neural network we proposed and the naive Bayesian model which is commonly used as a classification model, to compare the prediction accuracy of these two algorithms. The experimental results perform well, which proves that the fault diagnosis method using the backpropagation neural network can further assist engineers to complete timely repair and maintenance work. The research in this paper has played a very important role in technical support for intelligent train dispatching and command, and will also play a positive role in technical support for the automatic operation of urban rail transit under the prevention and control of the new coronavirus.

Agent-based MULTI-USV Intelligent Command and Control Cooperative System

This Paper on the basis of analysing the USV characteristics and Agent technology, inducts the Agent technology into the USV command and control cooperative system. According to the process of operation and command, set up the Agent architecture of the USV. Even more, set up the multi-USV command and control cooperative system. The system can control multiple USV simultaneously and make the USV have a high adaptation to the changing war environment.

Function Analysis of Command and Control System in Intelligent War

With the in-depth application of artificial intelligence and other new technologies in the military field, intelligent war has gradually emerged and shown a strong combat effectiveness. First of all, the main combat forces and functional modules of intelligent war are analyzed to grasp the characteristics of “autonomy” and “integration of cross domain operation and control” in intelligent war. Then the main functions of command and control system in intelligent war are analyzed and elaborated, focusing on the functions with human participation, the main contents of each function are stated in detail. Through the analysis of system functions, it can provide high reference value for the design and construction of intelligent command and control system in the future.

Neuron Network Prediction Feed- Forwad Wind Speed Network on Mauritania's North Coast: Ballawack Case

The assessment of the suitability of a wind system depends largely on the prediction of the wind potential. Indeed, the variability and uncertainty inherent in renewable energy sources can have a significant impact on accurate and reliable prediction of the power produced. Wind sources are needed at different time stages and at different altitudes. Thus, putting in place tools for predicting these wind resources is essential for their effective integration in the frame of electricity generation. In this context, the paper of this study is to propose a short-term wind energy prediction method through the formation of historical wind velocity data based on neural networks. This assessment involves modelling wind speed using ANN through the feed-forwad network. So, ANN are at the basis of adaptive identification methods and intelligent command laws. In this sense, first, the process of forecasting wind energy involves the creation of a raw data base, which is then filtered by probabilistic neural network. More concretely, the contribution of the work can be given in the form of technical results. These results start with a proposal of the theoretical models, then it is given the approach method that is used, then it is proposed the design of the system and the whole is closed by a performance evaluation. As far as performance evaluation is concerned, it is presented in the form of the results of analysed simulations of the forecast model. In practical terms, it should be noted that the proposed model also provides a high degree of accuracy for the measured data. In the end, normalized average absolute errors were recorded between 4.7% and 4.9%. As, it was found a regression factor R (measures the correlation between output-Target) between 91% and 96% for the site of the northern Mauritanian coast. This is largely acceptable for similar calculations.

Command and its discontents: Instabilities of institutional anytime algorithms on a Clausewitz landscape

It has long been understood that the inevitably time-constrained cognitive processes of command on a Clausewitz landscape of uncertainty and imprecision are subject to gross instabilities. Even very experienced, capable, and intelligent command teams lose wars. Using formal approaches from control and information theories, we show how failure to understand and recognize underlying structure and dynamics in organized conflict expresses itself as increased “noise,” eventually triggering strategic collapse, often in a highly punctuated manner

Research on the Framework of Intelligent Command Decision System for Flood Control

Starting from the process of flood control and flood control decision-making, the shortcomings of the traditional flood control and flood control command and decision-making system are analyzed, and an intelligent decision-making system for flood control and flood control is proposed. The structure and functions of the system framework are elaborated in detail, and the key issues in the process of building intelligent systems are pointed out. Based on the real-time information monitoring system, this intelligent system can predict the next phase of hydrometeorology, flood and other related information, help decision makers to identify risks, and optimize the best flood control dispatching plan for decision makers to choose.

Technology Framework of the Intelligent Command and Control System

With the rapid application and development of artificial intelligence technology in the civilian field, the research on intelligent combat and command systems in the military field is also intensifying. In order to improve the cognition and decision-making ability of international command and control system, this paper elaborates the overall technical framework of the system, and brings forth intelligent solutions and development suggestions in situation cognition, planning, decision making, and action control.

Research on Metro Anti-Terror Intelligent Real-Time Warning and Response Upgrade

Metro is a high-risk area of terrorist attacks. Although the method of manual security check is generally adopted in domestic subway, the traditional security check method has big loopholes due to the large number of passengers and long lines. This paper argues that, on the basis of the traditional metro security mode, the front end of video should be mainly reconstructed and the video monitoring system should be upgraded, so that it can have the functions of intelligent monitoring, intelligent command, intelligent research and judgment, and intelligent disposal, so that the subway anti-terrorism and effective platform can exert its maximum effectiveness.