The Core Capabilities Of Icf

Entering the combat systems market is a difficult task that is capital intensive and requires a unique, game changing solution that can be proven safe, reliable and effective in short order and superior to industry leaders such as GD. Though the steady growth within the industry and the large contract award values entices new entrants to explore entry, most will find that it is ultimately not feasible to compete against such industry leaders.

Army mathematical research includes applied analysis, computational mathematics, probability and statistics, systems and controls, discrete mathematics, and intelligent systems. Advances in these areas of math will help the Army develop a well-equipped strategic force that will be able to reach victory in conflicts. In order to reach this goal, there has to be constant interaction between several sections of the military including researchers, Army development personnel, and Army field soldiers. This collaboration will ensure that Army systems are built quickly and correctly the first

This paper will give a brief definition of the term Artificial Intelligence (AI). It will take an in-depth look at the origins and purpose of this exciting field in computer science. In particular, this paper will discuss a few of the many subcategories of research, applications and current technological obstacles that scientist face when developing AI. In addition, the author will look at AI’s various military specific applications for the purpose of training, target acquisition and command and control capabilities.

The automated workforce systems above enhance projection of military readiness. A real-time analysis allows the echelon to make strategic decisions throughout peacetime and mobilization phases. Commanders have the capability and resources of projecting training and development needs to meet mission sustainment. The interchanging within HR system information, leaders are capable of undertaking operational control measures. In the personnel realm updated

Imaging of those task processes being executed via the design system, the same, the initiator shall utilize functional modules to achieve his or her intents, and receivers will get or be aware of those intents via some objects

Commanders are facing a wide range of tasks, missions and operations ranging from low to high intensity situations that span the tactical and operational levels and also the battlespace is forever evolving. The ability of making effective and timely decisions the commanders needs a curtain degree of Situational Awareness (AS) at all levels in order to act quickly and decisively.

In concert with this, RTI teams are providing for a modular Active Protection System (MAPS) framework and controller. In short, MAPS provides the foundation for the Army Active Protection System Strategy which enables tailored capability, integration commonality on any platform, and provides an avenue for technology insertion and growth; and 3) development of a modular and open power, data and electronics architecture capable of operating at higher temperatures with greater efficiency. Additionally, I have ensured that RTI remains resolute in pursuing/building foundational architectures for the next generation of combat vehicle technologies that enable cutting-edge ground vehicle capabilities to be designed to effectively and flexibly meet the needs of the current force Army, as well the future Army that will need new concepts and combat vehicles be developed. These foundational architectures enable things like scalable power solutions, active protection to address evolving threats, a flexible architecture for vehicle electronics, as well as autonomous, tele-operated or driver-optional systems to greatly enhance Soldier safety while growing capability for mission

The Command Element (CE) serves as the brain center of the MAGTF. Its functions are naturally wide ranging. The CE is concerned with Command and Control (C2), Current Operations and Future Operations planning, rear area operations and security, supply and sustainment, as well as everything in between, across the entire range of military operations. However, just as the human brain cannot function effectively without a wide variety of optical, auditory, and tactile inputs, the CE is similarly restricted without all appropriate information. Perhaps no aspect of the CE is more important to the single-battle concept than the Intelligence, Surveillance, and Reconnaissance (ISR) assets. This is not to downplay the necessity or importance of the

The complexity of the current and future Operational Environment (OE) requires the Joint Force Commander (JFC) to extend the reach of his situational understanding to continuously adapt to a changing

Skeletal plans are plan schemata at various levels of detail that are used to capture the essence of procedures but leave room for execution time flexibility in the achievement of particular goals [147]. The main element in Asbru is the plan library where domain descriptions, value definitions, and plan groups can be specified. Plan groups contain individual plans that consist of a name, a set of arguments including time annotations, as well as five components: preferences, intentions, conditions, effects, and a plan body which describes the actions to be executed [148]. Preferences constrain the applicability of a plan and express the behavior of the plan for example the kind of strategy to be used. Intentions represent high level goals that should be achieved, maintained or avoided during execution. Conditions need to be true in order for a plan to be started, suspended, reactivated, aborted or completed. Effects define relationships between plan arguments and measurable parameters via mathematical functions. The plan body contains plans or actions to be carried out if the preconditions evaluate to true. The execution unit executes plans [19]. Formalizing guidelines in Asbru requires the use of several tools. Guidelines are written in Asbru XML using the DELT/A tool. They can be visualized using AsbruView and AsbruFlow tools. AsbruView allows guidelines to be viewed as three dimensional metaphors in topological view, and as a tree structure in temporal view. Plan info view presents information for a single plan. AsbruView can also be used for creating and modifying skeletal plans. AsbruFlow represents guidelines in the form of a flow chart. Asbru Interpreter executes Asbru

Using a contemporary example of a multi-role manoeuvre Combat Brigade within the Australian Army, the 1st Brigade is in the preliminary stages of digital development under Land 200. Nested under the 1st Brigade’s Digitisation Plan, the Brigade employs BMS as the primary means of C2 within a mobile battlespace as part of its Readying Phase exercise series. The 1st Brigade faces various challenges – a key one being the distances it is required to cover within its vast training areas, and more significantly, it remains the last priority for the project Land 200 roll out timeline meaning it is yet to fully acquire digitised systems across all direct command units. Utilising BMS during its training activities will test and validate BMS linkages between Bde and BG level over significant distances and while on the move. This will inform the further development of BMS from BG to CT level across Army. In terms of the provision of CSS, this improvement in C2 will undergo further validation of the Brigade’s ability to plan, communicate and execute CSS tasks from the Brigade Maintenance Area (BMA) down to CT

The KMS contains learning documents from operations that are part of the core competencies and ensures that everyone has an understanding of the organization and its mission (Darling, Parry, & Moore, 2005). The goal is to foster an environment of learning and facilitated knowledge flow between all army units from the leaders to subordinates. However, one problem is that generals are held solely responsible to make sure all lessons are completed between commanders, staffs, and subordinates. It is imperative that all army units are onboard and using the system in order to collect accurate data to analyze on the four questions that are asked. It is also key that leaders correct any deficiencies from the training assessment and identify the strengths and performance of the both the individual soldiers and those who are in charge. The benefits of the system outweigh the areas that need improvement and are crucial as they provide a knowledge advantage on new military technologies and strategies. This system is also modular and highly adaptable and as new technological innovations are readily integrated into the

• The determination of the processes and data that are required by a new system.

The interview session has been done by include an open-ended and closed-ended question which are related to the implemented project. Next, sampling technique is executed by system analyst who does evaluation to the current system or prototype. These processes give feedback in evaluation form that filled after tested the system. Lastly, observation is performed by using questionnaire form. According to Burch (1992), the questionnaire is analyzed and transform into structured form that easy to understand. After all information has been collected, structuring of system requirement takes place. It focused on development process modeling which perform “graphically representing the process, or actions, that capture, manipulate, store, and distribute data between a system and environment” (Hoffer, George, & Valacich, 2012, p. 182). In this step, Data flow diagram (DFD) is structured by system analyst using special tools and techniques to create a decision table. According to Hoffer, George and Valacich (2012), decision table is a “diagram of process logic where the logic is reasonably complicated” (p. 200). This table is useful to help system analyst to make a decision toward the project. Then all information’s gained from this phase are documented in System Analysis Report (SAR) that acts as a guideline or reference to the future system development project (Burch, 1992).

The Standard Process Model (SPM) is decomposed into a collection of event action rules that trigger one another to encode the underlying control flow logic. The fundamental idea is to define precondition set (i.e., encapsulating all the possible ways of reaching an activity) for all the activities in SPM. Each precondition set is associated with an activity and defines the possible way of enabling the activity. Afterwards, all the precondition set with their associated activities are transformed into event-action rule which in turn translates into BPEL event handlers. However, this approach only holds for one specific process model type by applying structural restriction on BPDs. Eventually, the resulting BPEL code is not readable and thus difficult to modify and maintain.