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CABIN ARCHITECTURE FOR WIRELESS DISTRIBUTION SYSTEM

2019-08-13
CURRENT
ARINC820
This document defines a secure Wi-Fi distribution network installed in the aircraft passenger cabin for passenger and crew use. Carry-on Portable Electronic Devices (PEDs) such as smart phones, tablets, and laptops may use this network to access public internet services provided on the aircraft.
Standard

FIBER OPTIC TRAINING REQUIREMENTS

2019-01-10
CURRENT
ARINC807-4
This document is based upon the SAE ARP5602 document, A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education. ARINC Report 807: Fiber Optic Training Requirements is a subset of the SAE ARP5602 document designed to meet the requirements of the commercial air transport industry. Certification to the SAE ARP5602 document fulfills the requirements of ARINC Report 807. This document defines recommended general practices for training requirements of aerospace fiber optic systems. It is the intention of this document to outline proven training practices and general standards of workmanship for technicians engaged in aerospace fiber optic manufacturing, installation, maintenance, and repair for the air transport industry. It is also recommended that management and purchasing personnel receive fundamental training to familiarize themselves with the requirements of aerospace fiber optics.
Standard

Training Program Guidelines for Deicing/Anti-Icing of Aircraft on Ground-Digital Annex

2019-09-11
CURRENT
ARP5149CDA
This Digital Annex (DA) contains the current, full-PDF version of ARP5149B, Training Program Guidelines for Deicing/Anti-Icing of Aircraft on Ground, as well as .jpeg format files of Appendix D, Application Guidelines Configuration, Critical Component, and Spray Area Diagrams for Aircraft. The .jpeg diagram files may be used by purchasers in accordance with the terms of the included license agreement.
Video

What If We Let Consumers Design PHEVs?

2011-11-04
Auto manufacturers have known and surveys confirm that consumers require short payback periods (2-4 years) for investments in fuel economy. Using societal discount rates, engineering-economic generally find substantial potential to increase fuel economy, cost-effectively. This phenomenon, often referred to as the ?energy paradox?, has been observed in nearly all consumers? choices of energy-using durable goods. Loss aversion, perhaps the most well established theory of behavioral economics, provides a compelling explanation. Engineering economic analyses generally overlook the fact that consumers? investments in fuel economy are not sure things but rather risky bets. Future energy prices, real world on-road fuel economy, and many other factors are uncertain. Loss aversion describes a fundamental human tendency to exaggerate the potential for loss relative to gain when faced with a risky bet. It provides a sufficient explanation for consumers?
Video

Advances of Virtual Testing and Hybrid Simulation in Automotive Performance and Durability Evaluation

2012-02-15
Moir� method is useful to measure the shape and the whole-field distributions of displacement and strain of structures. There are many kinds of moir� methods such as geometric moir� method, sampling moir� method, Fourier transform moir� method, moir� interferometry, shadow moir� method and moir� topography. Grating method analyzing directly deformation of a grating without any moir� fringe pattern is considered as an extended technique of moire method. Phase analysis of the moire fringe patterns and the grating patterns provides accurate measurements of shapes or displacement and strain distributions. Some applications of these moir� methods and grating methods to dynamic shape and strain distribution measurements of a rotating tire, sub-millimeter displacement measurements from long distance for landslide prediction, real-time shape measurements with micro-meter order accuracy, etc. are shown. Presenter Yoshiharu Morimoto, Moire Institute Inc.
Video

Fault-Tree Generation for Embedded Software Implementing Dual-Path Checking

2011-11-17
Given the fast changing market demands, the growing complexity of features, the shorter time to market, and the design/development constraints, the need for efficient and effective verification and validation methods are becoming critical for vehicle manufacturers and suppliers. One such example is fault-tree analysis. While fault-tree analysis is an important hazard analysis/verification activity, the current process of translating design details (e.g., system level and software level) is manual. Current experience indicates that fault tree analysis involves both creative deductive thinking and more mechanical steps, which typically involve instantiating gates and events in fault trees following fixed patterns. Specifically for software fault tree analysis, a number of the development steps typically involve instantiating fixed patterns of gates and events based upon the structure of the code. In this work, we investigate a methodology to translate software programs to fault trees.
Video

Neural Network-based Optimal Control for Advanced Vehicular Thermal Management Systems

2011-12-05
Advanced vehicular thermal management system can improve engine performance, minimize fuel consumption, and reduce emissions by harmoniously operating computer-controlled servomotor components. In this paper, a neural network-based optimal control strategy is proposed to regulate the engine temperature through the advanced cooling system. Presenter Asma Al Tamimi, Hashemite University
Video

Cooling Airflow System Modeling in CFD Using Assumption of Stationary Flow

2011-11-29
Battery Electric Vehicles and Extended Range Electric Vehicles, like the Chevrolet Volt, can use electrical energy from the Grid to meet the majority of a driver�s transportation needs. This has the positive societal effects of displace petroleum consumption and associated pollutants from combustion on a well to wheels basis, as well as reduced energy costs for the driver. CO2 may also be lower, but this depends upon the nature of the grid energy generation. There is a mix of sources � coal-fired, gas -fired, nuclear or renewables, like hydro, solar, wind or biomass for grid electrical energy. This mix changes by region, and also on the weather and time of day. By monitoring the grid mix and communicating it to drivers (or to their vehicles) in real-time, electrically driven vehicles may be recharged to take advantage of the lowest CO2, and potentially lower cost charging opportunities.
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