Operations Command Research Articles

ParaVerse: co-design of a parachute rehearsal and training virtual-reality enhanced simulator for the Australian Defence Force: combining a generative co-design framework and an agile approach to development

While co-design methods are crucial for developing digital educational interventions that are user-centred, contextually relevant, inclusive, and effective in meeting the diverse needs of learners and educators, little attention has been paid to the potential value of co-design processes for digital application development in the Defence context. This research gauged the efficacy of combining a generative co-design framework making use of agile and iterative co-design principles in an applied research and development project. The project produced an immersive virtual reality based digital solution in collaboration with the Australian Defence Force Special Operations Command (SOCOMD) Army. Specifically, the ParaVerse project sought to develop a solution considering the advanced Tactics, Techniques and Procedures (TTPs) relevant to special operations soldiers for advanced parachute training. A Defence advisory group consisting of a series of subject matter experts was formulated to consult with the research and development team over the course of the co-design process. End-user testing with 35 SOCOMD personnel demonstrated the value of the ParaVerse application for SOCOMD personnel, speaking to the success of the leveraged generative co-design model. End-users rated ParaVerse as having greater capacity to influence education and training practices for SOCOMD and Defence generally in comparison to a pre-existing virtual parachute simulator. ParaVerse was also rated higher for satisfaction and useability and was associated with fewer instances of motion sickness. The Generative Co-Design Framework leveraged for this research provides one roadmap on how to integrate end-users in innovation design, particularly for projects working across the nexus of Defence and academia.

Bi-Layer Model Predictive Control strategy for techno-economic operation of grid-connected microgrids

Effective management of renewable energy sources (RESs) alongside energy storage systems is crucial for maintaining stability and enhancing the economic performance of a grid-connected microgrid (MG). To address shortcomings in existing energy management strategies, which often overlook essential elements such as voltage support, battery degradation management, and uncertainties in load demand and solar generation, this study proposes a Bi-Layer Strategy for optimizing the operation of Battery Energy Storage Systems (BESS) within grid-connected MGs. The proposed approach maximizes economic returns, minimizes battery degradation, and provides reactive power support to maintain voltage stability. The method consists of the Energy Management Layer (EML) and the Control Layer (CL). The EML adopts a Model Predictive Control (MPC) framework to optimize the BESS power output over a 24-h rolling horizon based on forecasted solar generation, load demand, and electricity prices. The CL translates the optimized hourly setpoints from the EML into real-time operational commands, ensuring that the BESS adapts to actual grid conditions and maintains stable operation. Simulations conducted on a test MG, comprising 150 households, 500 kW rooftop solar PV, and a 300 kWh Li-Ion BESS demonstrate the strategy’s effectiveness under both fixed-rate and Time-of-Use (ToU) pricing schemes. The strategy reduces costs, mitigates battery degradation, and enhances voltage stability by optimizing BESS operations. Compared to a similar method in the literature, it reduces battery degradation by 24%, leading to net savings of $10,000 AUD, while the compared strategy resulted in a $5000 AUD loss. Real-time validation using the OPAL-RT platform further confirms the strategy’s effectiveness in optimizing BESS operations under real-world conditions.

An adaptive operation planning and EBO-BPNN optimization method for decision support systems

Formulating a course of action (COA) before a combat is crucial for operational command. Research in command and control (C2) artificial intelligence is currently focused on using intelligent auxiliary decision-making methods to implement COA. This paper proposes a COA planning method based on line of operation (LOO) and uses planning domain definition language (PDDL) to describe combat scenarios and COA. Following the effect-based optimization (EBO) principle, an effect evaluation model for COA was constructed, and dynamic bayesian networks (DBNs) was used to determine the reasoning and calculate the results of the effect evaluation network. To further improve the execution efficiency of the effect evaluation model in practical applications, the network was optimized through a back propagation neural network (BPNN). Relevant experiments based on the coordinated distributed air defense and anti-missile scenario were carried out using the LOO model to complete the planning of COA. A BPNN evaluation model based on the DBNs evaluation model was built. After training and fine-tuning, it achieved similar evaluation results, with a mean absolute percentage error (MAPE) of less than 0.02%. Compared with the DBNs model, the BPNN model achieved an efficiency improvement of no less than 65%, effectively reducing the consumption of computing resources. This research is the first time to realize the modeled description of COA planning, automatic evaluation, and calculation optimization of COA effects. It can support the development of decision support systems (DSS) and has the potential for practical application.

How to build and operationalise a hospital command centre

In the ever-evolving healthcare landscape, hospitals routinely grapple with daily disruptions and unforeseen events affecting resources and capacity. This paper explores the implementation and impact of the Rochester Hospital Operations Command Center (RHOCC) as a strategic response to challenges faced by the Mayo Clinic Hospital campuses in Rochester. The RHOCC, developed with an expedited timeline in response to capacity issues, exacerbated by COVID-19, serves as a centralised hub for real-time monitoring, coordination and decision-making related to patient flow. The process of establishing the command centre involved role identification, skill set determination, location of important personnel in an organised central space and vendor selection to develop the necessary infrastructure. Dashboards were developed to provide real-time actionable insights into external transfers, surgical and other planned admissions, emergency department status, patient throughput and discharges. These dashboards include colour-coded keys highlighting thresholds related to patient flow metrics and are used to facilitate daily huddles and enhance transparency and data-driven decision-making among hospital stakeholders. The outcomes of implementing the RHOCC include improved efficiency and collaboration, as well as a significantly enhanced ability to proactively respond to factors affecting census. The development of a command centre — driven by leadership endorsement and a commitment to continuous improvement — emerges as a transformative strategy in healthcare innovation. The RHOCC’s approach of building capability, fostering inclusion and articulating a vision of providing superior care while driving impactful improvements, positions it as a leading force in creating operational efficiencies to define healthcare delivery.

Operational mental health. . .what practitioners and commanders should know.

Mental Health support to military operations is well established as an integral part of military medicine. Unfortunately, Commanders often receive little or no training in how best to use their mental health assets or what their capabilities are. Conversely, members of a Field Mental Health Team frequently have no operational experience and try to merely translate their civilian practice onto the battlefield. This article describes what mental health professional can, and should do on military deployments and calls for greater training and awareness of both Mental Health professionals and Operational Commanders to foster mutual understanding and use the Field Mental Health Team to best effect. The paper drawson the experience of working in a Field Mental Health Team on six operational deployments in Iraq and Afghanistan. Military mental health professionals work mostly in peacetime and this work ill prepares them for the very different type of work required of them on operations. More training is required to prepare both practitioners and commanders for the mental health issues that confront them on operational deployments.

Using SUMO for Test Automation and Demonstration of Digitalized Railway Concepts

The Train Dispatcher in the Cloud (ZLiC) is a cloud-based approach to digitalize the German Zugleitbetrieb (comparable to American track warrant control). The ZLiC aims to replace the train dispatcher with speech to text, natural-language understanding, a digital occupancy sheet, a prototype interlocking logic, and text to speech. For train conductors, who operate on the trains, the voice-based communication with the train dispatcher remains unchanged. Because the external interfaces of the ZLiC are either voice-based or graphic, understanding and testing the internal components from an integration level is a challenge. To address these challenges, we first injected the Simulation of Urban Mobility (SUMO) as a simulation environment. Since the ZLiC has been developed model-based, the integration requires minimal modifications. Afterward, we fetch the operation commands (e.g., registering trains, locating trains, drive requests for trains) between the components and send them to a SUMO instance for analyzing and visualizing the train operations in the railway network. Lastly, we insert additional planned trains to add simulated traffic. The reproducible operations enable test automation of the ZLiC while reusing the sophisticated models in SUMO. This prototype shows that SUMO can support the development of digitalized railway operating procedures.

A trauma expert consensus: Capabilities are required early to improve survivability from traumatic injury.

Mortality reviews examine US military fatalities resulting from traumatic injuries during combat operations. These reviews are essential to the evolution of the military trauma system to improve individual, unit, and system-level trauma care delivery and inform trauma system protocols and guidelines. This study identifies specific prehospital and hospital interventions with the potential to provide survival benefits. US Special Operations Command fatalities with battle injuries deemed potentially survivable (2001-2021) were extracted from previous mortality reviews. A military trauma review panel consisting of trauma surgeons, forensic pathologists, and prehospital and emergency medicine specialists conducted a methodical review to identify prehospital, hospital, and resuscitation interventions (e.g., laparotomy, blood transfusion) with the potential to have provided a survival benefit. Of 388 US Special Operations Command battle-injured fatalities, 100 were deemed potentially survivable. Of these (median age, 29 years; all male), 76.0% were injured in Afghanistan, and 75% died prehospital. Gunshot wounds were in 62.0%, followed by blast injury (37%), and blunt force injury (1.0%). Most had a Maximum Abbreviated Injury Scale severity classified as 4 (severe) (55.0%) and 5 (critical) (41.0%). The panel recommended 433 interventions (prehospital, 188; hospital, 315). The most recommended prehospital intervention was blood transfusion (95%), followed by finger/tube thoracostomy (47%). The most common hospital recommendations were thoracotomy and definitive vascular repair. Whole blood transfusion was assessed for each fatality: 74% would have required ≥10 U of blood, 20% would have required 5 to 10 U, 1% would have required 1 to 4 U, and 5% would not have required blood products to impact survival. Five may have benefited from a prehospital laparotomy. This study systematically identified capabilities needed to provide a survival benefit and examined interventions needed to inform trauma system efforts along the continuum of care. The determination was that blood transfusion and massive transfusion shortly after traumatic injury would impact survival the most. Expert Opinion; Level V.

Perceptions of general surgery residents at military treatment facilities: Excellent training with crisis of confidence.

The declining operative volume at Military Treatment Facilities (MTFs) has resulted in Program Directors finding alternate civilian sites for resident rotations. The continued shift away from MTFs for surgical training is likely to have unintended negative consequences. An anonymous survey was generated and sent to the program directors of military general surgery training programs for distribution to their residents. A total of 42 residents responded (response rate 21%) with adequate representation from all PGY years. Ninety-five percent of residents believed that their programs provided the training needed to be a competent general surgeon. However, when asked about career choices, only 30.9% reported being likely/extremely likely to remain in the military beyond their initial service obligation, while 54.7% reported that it was unlikely/extremely unlikely and 19% reported uncertainty. Eighty-eight percent reported that decreasing MTF surgical volume directly influenced their decision to stay in the military, and half of respondents regretted joining the military. When asked to assess their confidence in the military to provide opportunities for skill sustainment as a staff surgeon, 90.4% were not confident or were neutral. Although military surgical residents have a generally positive perception of their surgical training, they also lack confidence in their future military surgical careers. Our findings suggest that declining MTF surgical volume will likely negatively impact long-term retention of military surgeons and may negatively impact force generation for Operational Commander. Prognostic and Epidemiological, Level IV.

Design and Evaluation of Pen Body Commands

In current pen-based interactive interfaces, the input channels used by the pen are limited, and target selection and command selection are generally separated sequentially. The intermediate time generated by the movement between target selection and command selection operations further increases the overall operation time. When there are many targets or command operations are frequent, the alternating operations between target selection and command selection easily lead to fatigue. In order to reduce fatigue during frequent movements and decrease multitasking time, we propose pen commands, which can improve the current sequential “select-action” interaction. Based on the differences between the movement trajectories of the pen tip and the pen tail when the pen is rotated, we designed three types of pen body commands. Using the continuous interactive tasks of copy and paste as experimental tasks, we investigated the interactive performance of pen body commands in both target-present and target-absent scenarios through quantitative and qualitative analyses. The experimental results indicate that the interaction time for pen body commands is shorter than that for the combination of rubber band selection and menu clicks, with a performance improvement of 70.448%. Additionally, the error rate of pen body commands is also lower. Based on these results, we analyse the effectiveness of pen body commands and provided usage suggestions and application scenarios.

A Method for Human Systems Integration Requirements within Model Based Systems Engineering

AbstractThe Department of Defense (DoD) employs broad human factors requirements across various applications, resulting in a universal application of the same standards to a multitude of DoD acquisition systems. In unconventional warfare, specifically within missions conducted by US Special Operations Command (USSOCOM), operators face intensified workloads and domain‐specific challenges that current human factors considerations do not adequately address. The objective of this paper aims to introduce a novel framework, the Relational and Technological Capstone (RTC), designed to expand existing Human Systems Integration (HSI) requirements. The objective is to enhance the consideration of human factors in USSOCOM missions by addressing the unique challenges posed by intensified workloads and domain‐specific ontologies. The RTC employs a methodology‐driven approach utilizing both architectural and parametric diagrams. It integrates with Model Based Systems Engineering (MBSE) to improve the design of human‐system interactions, incorporating a Special Operations Task List and Performance Shaping Factors (PSFs) into aggregated parametrics. The results of this paper demonstrate the efficacy of RTC within MBSE, showcasing its value through improved design processes and as a foundation for new programs. The containment tree format aids in developing USSOCOM MBSE and opens possibilities for automation tools. Continual use of RTC contributes to the maturity of MBSE models and diagrams, fostering the evolution of a federation‐of‐models and Program of Record standards. This not only benefits subsequent SOCOM programs and projects but also facilitates cross‐cooperation with other nations in optimizing special operation acquisitions. The ultimate goal is to center the RTC around the operator, ensuring compatibility and optimization across cooperative nations' special operation acquisitions.

Mission Command in Multi-Domain Operations

Abstract The world is constantly changing and so are the requirements for conducting military operations imposed by the complexity of today’s operational environment. This paper addresses the appropriateness of mission command for multi-domain operations, a transformative concept in NATO that aims to orchestrate military activities across all physical environments, integrated with nonmilitary ones. Mission command is crucial in a multi-domain environment where there are no sanctuaries of safe areas. Advanced technologies have increased battlefield transparency and enabled adversaries to threaten critical infrastructure. Building trust, fostering relationships and promoting shared understanding are essential elements for successful employment of mission command in multi-domain operations.

The Influence of Non-Kinetic Actions on Multi-Domain Operations Command and Control

Abstract In the current context, the way military actions are carried out determines rethinking the military leadership and approaching it through the lens of hybrid, non-kinetic approaches, of high precision technologies and of those that integrate all areas of military operations. Potential adversaries are increasingly using non-kinetic warfare strategies that include subversive and disinformation campaigns, espionage and cyber attacks. Thus, non-kinetic actions are relevant elements for military operations requiring the implementation of new operating and command-control concepts. In modern military confrontations it is imperative that leadership systems project power and use both precise and long-range kinetic actions as well as non-kinetic actions with chain effects and substantial benefits in mission accomplishments.

Impact of Respiratory Muscle Training on Exercise Tolerance in Hypobaric Hypoxia

Hypoxia and certain chronic diseases can intensify the work of breathing, potentially impacting the muscle hyperemic response during exercise and overall exercise performance. Respiratory muscle training (RMT) has been observed to decrease perceived effort under hypoxic conditions; however, it remains unclear if RMT boosts exercise performance in acute hypoxia. We investigated whether 4 weeks of RMT could enhance maximal and submaximal exercise performance in hypoxia (PB=425 mmHg, ~4876 m). Seven adult males underwent a 250 kJ submaximal (RPE 15-17) cycling trial in hypoxia, followed by an incremental test to maximal exertion. After 4 weeks of RMT under normoxic conditions, these tests were repeated in hypoxia. Although six of the participants displayed improvements in submaximal exercise performance, these numerical differences failed to reach statistical significance. However, RMT did raise VO2max peak power (Pre-RMT: 242.62 ± 35, Post-RMT: 251.85 ± 38 W, p=0.04). Moreover, even with an increased HR during the submaximal exercise trial after RMT (Pre-RMT:154.14 ± 16, Post-RMT: 160.86 ± 12, p<0.05), the RPE showed no significant difference during the test (Pre-RMT: 17.43 ± 0.79, Post-RMT: 17.43 ± 0.53, P>0.05). Despite this, no substantial increase in hypoxic submaximal exercise performance was observed, likely due to the small sample size. These findings suggest RMT might increase hypoxic exercise tolerance by reducing perceived exertion for a given HR. This work was supported by funding from the United States Special Operations Command (USSOCOM) and the National Institutes of Health (2L30HL134123-03). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Cumulative Blast Impulse Is Predictive for Changes in Chronic Neurobehavioral Symptoms Following Low Level Blast Exposure during Military Training.

Cumulative low-level blast exposure during military training may be a significant occupational hazard, increasing the risk of poor long-term outcomes in brain function. US Public Law 116-92 section717 mandates that US Department of Defense agencies document the blast exposure of each Service member to help inform later disability and health care decisions. However, which empirical measures of training blast exposure, such as the number of incidents, peak overpressure, or impulse, best inform changes in the neurobehavioral symptoms reflecting brain health have not been established. This study was approved by the US Army Special Operations Command, the University of North Carolina at Chapel Hill, and the VA Puget Sound Health Care System. Using methods easily deployable across different organizational structures, this study sought to identify and measure candidate risk factors related to career occupational blast exposure predictive of changes in neurobehavioral symptom burden. Blast dosimetry-symptom relationships were first evaluated in mice and then tested in a military training environment. In mice, the righting time neurobehavioral response was measured after exposure to a repetitive low-level blast paradigm modeled after Special Operations training. In the military training environment, 23 trainees enrolled in a 6-week explosive breaching training course, 13 instructors, and 10 Service member controls without blast exposure participated in the study (46 total). All participants provided weekly Neurobehavioral Symptom Inventory (NSI) surveys. Peak blast overpressure, impulse, total number of blasts, Time in Low-Level Blast Occupation, and Time in Service were analyzed by Bayesian analysis of regression modeling to determine their probability of influence on the post-training symptoms reported by participants. We tested the hypothesis that cumulative measures of low-level blast exposure were predictive of changes in neurobehavioral symptoms. In mice, repetitive blast resulted in reduced righting times correlated with cumulative blast impulse. In Service members, peak blast overpressure, impulse, total number of blasts, Time in Low-Level Blast Occupation, and Time in Service all showed strong evidence of influence on NSI scores after blast exposure. However, only models including baseline NSI scores and cumulative blast impulse provided significant predictive value following validation. These results indicate that measures of cumulative blast impulse may have utility in predicting changes in NSI scores. Such paired dosimetry-symptom measures are expected to be an important tool in safely guiding Service members' occupational exposure and optimizing force readiness and lethality.

Prima Donnas in Kevlar zones. Challenges to the Unconventional Warfare efforts of the U.S. Special Forces during Operation Enduring Freedom

ABSTRACT When Operation Enduring Freedom (OEF) commenced in October 2001, the U.S. Special Forces (SF) were the first U.S. military unit on the ground in Afghanistan, utilising their Unconventional Warfare (UW) capabilities. Despite their significant role at the initial stage of the military campaign, SF began to encounter numerous challenges from as early as 2002 and throughout OEF. Based on an analysis of forty-five master’s theses authored by SF officers, this paper discusses the structural-organisational and cultural-conceptual challenges. These obstacles led to the marginalisation of SF’s UW efforts. Scholarship on special operations forces (SOF) often regards the period of the so-called global war on terrorism (GWOT) as U.S. SOF’s golden age focusing predominantly on the activities of SOF units linked to the U.S. Joint Special Operations Command rather than on SF. By examining the challenges faced by SF, this article aims to contribute to a more nuanced discussion of SOF efforts during GWOT.

Qualitative investigation of military surgical resuscitation teams: what are the drivers of success of a rapid response team?

ObjectivesThis qualitative study explores the characteristics of a specialised military medical rapid response team (MRRT), the surgical resuscitation team (SRT). Despite mixed evidence of efficacy, civilian MRRTs are widely employed,...

Neurological Effects of Repeated Blast Exposure in Special Operations Personnel.

Exposure to blast overpressure has been a pervasive feature of combat-related injuries. Studies exploring the neurological correlates of repeated low-level blast exposure in career "breachers" demonstrated higher levels of tumor necrosis factor alpha (TNFα) and interleukin (IL)-6 and decreases in IL-10 within brain-derived extracellular vesicles (BDEVs). The current pilot study was initiated in partnership with the U.S. Special Operations Command (USSOCOM) to explore whether neuroinflammation is seen within special operators with prior blast exposure. Data were analyzed from 18 service members (SMs), inclusive of 9 blast-exposed special operators with an extensive career history of repeated blast exposures and 9 controls matched by age and duration of service. Neuroinflammation was assessed utilizing positron emission tomography (PET) imaging with [18F]DPA-714. Serum was acquired to assess inflammatory biomarkers within whole serum and BDEVs. The Blast Exposure Threshold Survey (BETS) was acquired to determine blast history. Both self-report and neurocognitive measures were acquired to assess cognition. Similarity-driven Multi-view Linear Reconstruction (SiMLR) was used for joint analysis of acquired data. Analysis of BDEVs indicated significant positive associations with a generalized blast exposure value (GBEV) derived from the BETS. SiMLR-based analyses of neuroimaging demonstrated exposure-related relationships between GBEV, PET-neuroinflammation, cortical thickness, and volume loss within special operators. Affected brain networks included regions associated with memory retrieval and executive functioning, as well as visual and heteromodal processing. Post hoc assessments of cognitive measures failed to demonstrate significant associations with GBEV. This emerging evidence suggests neuroinflammation may be a key feature of the brain response to blast exposure over a career in operational personnel. The common thread of neuroinflammation observed in blast-exposed populations requires further study.

Evaluating Command and Control Systems’ Effectiveness in Enhancing Situational Awareness: ENDF 6th Mechanized Division in the Danakil Desert.

Effective military command and control is critical for the success of modern military operations. C2 systems enable the coordination of forces, decision-making, and information sharing across hierarchal command structures. This paper provides an over view of C2 key concepts and challenges in military C2. It examines the evolution of C2 approaches from centralized to more distributed models, driven by factors such as technological advancements, the complexity of the battle space, and the need for adaptability. The paper discusses the role of information systems, situational awareness and risk assessment, communication networks, decision support tools in enhancing C2 capabilities. It also highlights issues around interpretability, resilience, and the integration of emerging technologies like artificial intelligence and the role of all level military commanders. The analysis draws on case studies and empirical research to identify best practices and areas for further improvement in military C2. The findings aim to inform military leaders, policy makers, and system designers on strategies to strengthen command and control for future military operations.

Talk to the Wall: The Role of Speech Interaction in Collaborative Visual Analytics.

We present the results of an exploratory study on how pairs interact with speech commands and touch gestures on a wall-sized display during a collaborative sensemaking task. Previous work has shown that speech commands, alone or in combination with other input modalities, can support visual data exploration by individuals. However, it is still unknown whether and how speech commands can be used in collaboration, and for what tasks. To answer these questions, we developed a functioning prototype that we used as a technology probe. We conducted an in-depth exploratory study with 10 participant pairs to analyze their interaction choices, the interplay between the input modalities, and their collaboration. While touch was the most used modality, we found that participants preferred speech commands for global operations, used them for distant interaction, and that speech interaction contributed to the awareness of the partner's actions. Furthermore, the likelihood of using speech commands during collaboration was related to the personality trait of agreeableness. Regarding collaboration styles, participants interacted with speech equally often whether they were in loosely or closely coupled collaboration. While the partners stood closer to each other during close collaboration, they did not distance themselves to use speech commands. From our fndings, we derive and contribute a set of design considerations for collaborative and multimodal interactive data analysis systems. All supplemental materials are available at https://osf.io/8gpv2.

Integrated scheduling method for fleet wave sorties and maintenance of naval distributed platforms

Managing operational command and maintenance support activities for carrier-based aircraft in a multi-platform system is challenging. This research presents an integrated mathematical model for scheduling deployment, sortie, and maintenance of carrier-based aircraft. The model helps decision-makers formulate fleet allocation plans, create sortie flight schedules, and coordinate repairs for future maritime distributed operations. We have introduced a novel bi-level iteration optimization method that improves traditional manual empirical scheduling methods. An advanced version, a two-stage optimization method, can handle a large number of states and solution spaces while ensuring accuracy. Our statistical validation shows that the two-stage optimization method has an insignificant deviation of 1–2% (with an average of −0.91%) from accurate results. Importantly, this method significantly reduces computational time (with an average of 98.25%), which enhances decision-making accuracy and real-time feasibility. Finally, the research discusses a cross-platform linkage mechanism for distributing aircraft repair tasks. This mechanism aims to enhance mission readiness and operational metrics by avoiding backlogs and reducing inefficiencies caused by concentrating maintenance on a single platform. The results of this study provide a foundation for decision-making regarding future naval distributed systems and their operations.