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No description available.

No description available.

Due to the separation of Police and Fire Fighting systems, fire control organizations are growing enormously in the recent years, creating heavy workload for the authorities. With the serious shortage of fire fighters in all level of fight control system, the affiliation of military substitute service is a great relief for the fire control societies. Currently, the management of military substitute service and the evaluation of their psychoanalysis still lack of practical methods within the country. This research focuses on the analysis of fire control organizations¡¦ application of military substitute service, management issues, and the psychoanalysis of military substitute service participants. Opinions and background information of participants are collected in large-scale with questionnaires and various methods. Results are evaluated and analyzed to derive logical management patterns, thus develop an ideal scheme to improve the performance of military substitute service participants, as well as maintaining discipline. Defects of existing systems are discussed and improvement strategies are suggested for the fire control authorities to reference for future consideration of military substitute service recruit program.

Thesis (Master of Business Administration)--Naval Postgraduate School, June 2009. / Thesis Advisor(s): San Miguel, Joseph G. "June 2009." Description based on title screen as viewed on July 14, 2009. Author(s) subject terms: software reuse, reuse, ASW software, sonar, fire control, APB, ARCI. Includes bibliographical references (p. 97-100). Also available in print.

In this thesis, burst distance is optimized to increase air defense capability for systems utilizing airburst munitions. A simulator program is created to use during the study by taking advantage of the MATLAB environment. While creating the simulator program, a munition path model is derived by using fourth order Runge-Kutta method. Then, simulations are conducted at different burst distances and related information are recorded. By using least square optimization method and gathered data, optimum burst distance is found. Moreover, the effects of several factors on optimum burst distances are analyzed, including: the weights of the objectives in the optimization, target dimensions, target range, wind, target position ambiguity, firing angle, and velocity ambiguity after burst. Furthermore, a firing method is proposed. The result of the proposed firing method and the optimum solution are compared and success is presented. To sum up, this study presents a way to find optimum burst distance, analyzes the factors that may affect optimum burst distance, and suggests a firing method for effective shots.

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2007. / Title from title page of PDF document (viewed on: Aug 15, 2008). "17 May 2007." Includes bibliographical references (p. 162-177).

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2007. / Title from title screen; viewed on July 9, 2007. "17 May 2007." Electronic version of original print document. Includes bibliographical references (p. 162-177).

No / The Internet of Things (IoT) has improved our lives through various applications such as home automation, smart city monitoring, environmental monitoring, intelligent farming, and a host of others. IoT is increasingly being used for environmental monitoring to prevent fire incidents and other environmental hazards. However, for IoT systems to function effectively in preventing fire incidents, they must operate in a safe, reliable, and dependable manner. The intelligent sensors and devices that constitute the system are prone to different types of failures, which can lead to unsafe or dangerous conditions. Failure of a fire prevention system can pose significant risks to Health, Safety, and the Environment (HSE). To address these concerns, it is essential to understand how component failures can contribute to the overall system failure. This paper adopts Fault Tree Analysis, a widely used framework for failure behaviour analysis in other safety-critical domains, to qualitatively analyse an intelligent fire detection system in an industrial setting. The analysis outlines the ways in which the system can fail and the necessary prevention mechanism to guard against undesired system failure.

In this thesis, an error analysis based method is proposed to calculate single shot hit probability (PSSH) values of a fire control system. The proposed method considers that a weapon and a threat are located in three dimensional space. They may or may not have relative motion in three dimensions with respect to each other. The method accounts for the changes in environmental conditions. It is applicable in modeling and simulation as well as in top down design of a fire control system to reduce the design cost. The proposed method is applied to a specific fire control system and it is observed that PSSH values highly depend on the distance between the weapon and the threat, hence they are time varying. Monte Carlo simulation is used to model various defense scenarios in order to evaluate a heuristic developed by G&uuml / lez (2007) for weapon-threat assignment and scheduling of weapons&rsquo / shots. The heuristic uses the proposed method for PSSH and time of flight computation. It is observed that the difference between the results of simulation and heuristic depends on the scenario used.