National Defence University, Pakistan

About: National Defence University, Pakistan is a education organization based out in Islamabad, Pakistan. It is known for research contribution in the topics: Decision support system & Population. The organization has 802 authors who have published 816 publications receiving 3701 citations. The organization is also known as: National Defence University of Pakistan & National Defence University Islamabad.

Modeling of the behind armor action of fragments of armor obstacle on elements of combat armored vehicles

Abstract: According to the experience of military conflicts in recent decades, including the Anti-Terrorist Operation (Joint Forces Operation), it is known that the survivability of armored combat vehicles and crew largely depends on the level of their protection. From the analysis of the received damages during performance of tasks it is known that repeatedly fighting armored cars due to a low level of protection lost a working condition because of receiving damages of knots (aggregates) by fragments of external armoring, which were formed during its penetration. Therefore, the task is to find ways to improve the layout of armored combat vehicles, to reduce the number of deadly fragments generated by external armor. The article presents an approach for evaluating the results of the impact of fragments of external armor elements on the internal equipment of armored combat vehicles using mathematical modeling of the processes of spreading the action of fragments on the internal units of the vehicle. It was also found that the fragments, which have a high impact capacity, fly behind the obstacle in the form of cone-shaped flows and are evenly separated, and their penetrating ability is a random variable. Therefore, the article shows the probability of damage (penetration) of the aggregate by fragments, as well as the average number of fragments that can affect the aggregate. For clarity, in accordance with the proposed method determined the probability of damage to the aggregates of some abstract sample of armored combat vehicle, the results allow us to judge the nature of the impact of fragments on various aggregates and combat calculation of armored combat vehicle, as well as identify those vital aggregates that are more subject to influence and damage by fragments.

Development of a methodology for the formation and adjustment of the catalog of defense forces capabilities

Abstract: The study results have made it possible to devise a methodology for the formation and adjustment of the Defense Forces Capabilities Catalog using cluster analysis and the developed tree-like system of basic indicators characterizing groups and subgroups (clusters). That enables stakeholders to form and adjust the Defense Force Capabilities Catalog with the proper quality, according to the uniform developed algorithm and defined identifiers (features). The methodology is intended for use by members of the Inter-Departmental Working Group on Defense Review, as well as working groups in the course of a separate review or capacity assessment. The Defense Force Capabilities Catalog was deconstructed into five levels of hierarchy, each of which contains interdependent typical tasks, organizational structures, and means (systems, complexes). The procedure is to analyze and clearly cluster individual capabilities of the defense forces according to certain features (requirements, characteristics) to group them and include them in the relevant groups, subgroups, and functional capabilities groups. A system of the indicators for the formation and adjustment of the Defense Forces Capabilities Catalog has been proposed, as well as a conformity criterion based on the generalized indicator, which defines the level of formation (adjustment) of the Defense Forces Capabilities Catalog. Seven steps of the procedure have been defined: from identifying individual capabilities based on their description (step 1) to verifying the acceptability of the results obtained (step 7) using the evaluation criterion and specially designed tables. The methodology was tested during a passive experiment in 2020 on the analysis of the current Defense Forces Capabilities Catalog, which made it possible to identify a series of significant shortcomings in its structure and content.

Architecture of Military Model in Joint Operations Simulation System

Abstract: One of key problems encountered in architecture design of a joint operations simulation system is to design the systems of model(model structure and model data) resembling the simulated object (joint operations) in architecture level, that means that the systems should include military model of entities, entities activity and relationships between military models which are mapped to various relationships among entities. The paper designs the architecture of military model in the joint operations simulation system with joint operations simulation as application background, its relevant concepts are explained too. The exploitation process of military model is expatiated and the information controlled relationship between military models within the joint operations simulation system is confirmed.

Defining the socio-demographic predictors of priority investment in the context of tasks for the financial subsystem of startup-management

Abstract: This research has investigated the retrospective trends in financing startups in Ukraine corresponding to the socio-demographic characteristics of startuppers (founders). Studying the dependences between the amount of funding and the qualitative characteristics of startuppers has made it possible to determine the socio-demographic predictors of making a positive decision regarding the financing of startups. As the current study has shown, in order to receive an investment, a startupper must meet the investor's expectations regarding reliability, qualifications, experience, and potential prospects. The investor analyzes not only the business idea of the startup but also the potential recipient for compliance with a series of socio-demographic predictors such as gender, age, level, and specialization of education. It has been proven that the largest amount of funding for startups in Ukraine is received by male funders, aged 35 to 45, who have a higher technical education. Startup investors consider such startuppers a priority for their investments since they see the least risks and a high probability of successful deployment of invested funds. The identified investors' preferences when choosing startup founders can be extrapolated to the startup environment of any country, however, they may change over time, depending on the specificity of the situation in the investment country. To rationally solve problems in the financial subsystem of startup management, it is necessary to preliminary determine the socio-demographic predictors of priority investment of startups of the respective country and area of activity. The practical tools for determining such predictors have been tested during this study. The practical significance of the research is due to the growing pace of development of startup technologies, the need to improve the effectiveness of the startup management financial subsystem, and increase the efficiency of the startup support infrastructure

Why the rising China needs alliances

Abstract: Alliances remain at the heart of history, since they serve states in achieving geopolitical needs and securing grand strategic necessities. Apart from strategic considerations, the article aspires ...