Military Academy

About: Military Academy is a based out in . It is known for research contribution in the topics: Population & Context (language use). The organization has 2478 authors who have published 3003 publications receiving 33188 citations.

Designing tomorrow’s snow park jump

Abstract: Recent epidemiological studies of injuries at ski resorts have found that snow park jumps pose a significantly greater risk for certain classes of injury to resort patrons than other normal skiing activities. Today, most recreational jumps are built by skilled groomers without an engineering design process, but the Snow Skiing Committee (F-27) of the American Society for Testing and Materials is considering the inclusion of recreational jumps in their purview which may lead to a greater role for engineering jump designs in the US in the future. Similar efforts are underway in Europe as well. The purpose of this work is to review the current state of the science of snow park jumps, describe the jump design process, and outline the role that modelling will play in designing tomorrow’s snow park jumps.

Application of importance-satisfaction analysis and influence-relations map to evaluate design delay factors

Abstract: Design delays can negatively influence the total completion time of a facility construction project. Knowing the factors to which design delays are most sensitive supports the time management of designs. However, factors that cause design delays are several and interrelated. This study proposes a new model to identify key factors that drive design delays. The core of the model integrates importance-satisfaction analysis (ISA) and an influence-relations map (IRM). The ISA evaluates the performance of each delay factor, while the IRM captures the causal relationships among factors. Additionally, the IRM is generated using a decision making trial and evaluation laboratory technique (DEMATEL). The model is applied to a real-world high-tech facility construction project to indicate the strengths of the model. In this investigation, four first-level delay factors and 17 second-level delay sub-factors are derived. The factor of “organization's decision making and budget constraints” is identified as the ...

Wireless Sensor Network in Agriculture: Model of Cyber Security.

Abstract: Nowadays, wireless sensor networks (WSN) are widely used in agriculture monitoring to improve the quality and productivity of farming. In this application, sensors gather different types of data (i.e., humidity, carbon dioxide level, and temperature) in real-time scenarios. Thus, data gathering, transmission, and rapid response to new circumstances require a secured data mechanism to avoid malicious adversaries. Therefore, this paper focuses on data security from the data origin source to the end-user, and proposes a general data security model that is independent of the network topology and structure, and can be widely used in the agriculture monitoring application. The developed model considers practical aspects, the architecture of the sensor node, as well as the necessity to save energy while ensuring data security, and optimize the model through the application of organizational and technical measures. The model evaluation is conducted through simulation in terms of energy consumption. The result shows that the proposed model ensures good data security at the cost of a slight increase in energy consumption at receiver and sender nodes, and energy consumption per bit, up to 2%, 7%, and 1.3%, respectively, due to overhead added for authentication in the network.