This study proposes a deep learning model utilizing the BACnet (Building Automation and Control Network) protocol for real-time detection of mechanical faults security vulnerabilities in building automation systems. Integrating various machine algorithms outlier techniques, this is capable monitoring anomaly patterns real-time. The primary aim paper to enhance reliability efficiency buildings industrial facilities, offering solutions applicable across diverse industries such as...

Presented at AIAA Aircraft Technology, Integration, and Operation (ATIO) Technical Forum, October 1-3, 2002, Los Angeles, CA.

The goal of a future transportation architecture is an expansion in mobility, enabling new types travel and commerce currently not affordable thus pro- ducing induced societal benefit. From the design per- spective, complexity, high dimensionality di- verse nature space make study such architectures extremely difficult. An abstraction frame- work modeling hypothesis are proposed, steps vital to proper start aggressive challenge. core entities within abstracted: stakeholders (consumers,...

In this paper the feasibility of electric on-demand aircraft is discussed in a context that includes performance characteristics but also its potential cost. Traditional vehicle sizing methods are utilized and weight regressions updated to link acquisition Moreover, cost variables sensitive identified enable integration between costs operation performance. This formulation used assess by considering coupling physical constraints With design environment enables space exploration constructed....

The air transportation system is undergoing significant changes in order to be able face the future challenges such as environmental concerns and increase demand. Forecasts are essential plan make decisions on what improvements crucial. While there various forecast methodologies available, this study adopts agent-based modeling simulation technique a way generate demand forecasts. Since any mode subject competition interactions with other modes, multimodal perspective emphasized. existing...

Abstract The Smart Grid is a large‐scale endeavour to accommodate future electric power needs. It plans deploy innovative technologies for higher level of system efficiency and sustainability. A solid understanding on multitude facets this challenge vital hence system‐of‐systems perspective was adopted. resulting model created capture dynamics between the supply demand aspects, underpinned by agent‐based modeling simulation techniques. After defining consumer agent environment that includes...

As the starting point of any transportation related study, an accurate analysis and forecast for demand is important appropriate planning necessary technological improvements. Multiple modeling simulation techniques are available, including bottom-up agent-based top-down system dynamics. The purpose this research to build a multi-modal model using System Dynamics approach (Ground Air Modes Explorer) supported by existing Mi. These two complementary models were calibrated against each other...

This paper describes a model for the US air transportation network employing multitier evolution concept. In an attempt to concisely represent dynamics behind complex structure, is decomposed into multiple tiers. The primary tier of major hub airports whereas secondary non-hub airports. A algorithm utilized modeling tier. main idea in considering chronological and spatial evolution. engages access switching shortest-path-finding multi-stop routings. These algorithms find shortest route...

An accurate forecast for future transportation demand and emissions is important all stakeholders in the National Airspace System. Due to uncertainties socio-economic variables technologies, a scenario-based analysis essential. In this sense an interactive simulation environment that provides capability explore various possibilities desired. A Transportation System-of-Systems Simulator (TSS) was envisioned answer above challenges. This system-of-system level parametric tradeoff includes...

As concern for environmental impact of various sectors grows, new methodologies and tools are needed to explore scenarios representing the wide variety possible future socioeconomic environments technologies. Sustainability transportation system is paramount importance, as it a driver economic growth non negligible sector in terms emissions. This study focuses on two main modes longdistance travel continental United States: commercial air automobiles. A parametric simulation environment,...

This paper presents an approach that addresses the limitations of current practices on aviation demand. As opposed to segment and airport enplanement metrics used in many studies, a 'true' origin-destination demand is focal point this research. An model analogous gravity law hypothesized discover underlying mechanics governing produced attracted enplanements at local airport. The result reveals intrinsic nature relationships between socioeconomic attributes demands.

This work demonstrates how a water and energy sustainable building's heating, ventilation, air conditioning (HVAC) system may be operated to maximize condensate production while upholding user thermal comfort consumption requirements. A physics-based HVAC model was presented validated against operating data from the Kendeda Building for Innovative Sustainable Design (KBISD), 3,437.4-m2 (37,000-ft2) academic building on Georgia Institute of Technology's Atlanta campus. sensitivity study power...

An agent-based model of the National Transportation System is used to investigate sensitivity market demand design requirements a short haul Vertical Takeo and Landing Personal Air Vehicle that assumed enter service in 2020 timeframe. The for this concept calculated from consumer preference standpoint, theorizing transportation modes are evaluated by rational travelers looking maximize their utility while constrained travel time cost. such vehicle presence other analyzed with respect speed,...

Determination of an appropriate aircraft capacity requirement is a fundamental, yet difficult decision making task in civil design. The difficulty arises from the fact that both market forces and engineering itself must be considered. This paper examines interacting effect these two perspectives for case small operating on point-to-point network 2030-2035 timeframe. Existing demand estimation, airline cost conceptual design, geographic information system tools are integrated with clustering...

This paper documents the unique operations journey and an overview of accompanying model-based analysis award-winning Kendeda Building for Innovative Sustainable Design, designed to become most environmentally sustainable classroom lab building in Southeast US, addressing performance metrics including energy water use. As energy, primary goal was achieve Leadership Energy Environmental Design (LEED) Zero as well International Living Future Institute's (ILFI) Challenge (LBC) certifications,...

In many engineering applications including multidisciplinary optimization (MDO) problems, a decision maker often tends to evaluate and optimize multiple criteria at the same time carry out tradeoff study.Nevertheless, solving an multi-criteria (MCO) problem, in general, is difficult practice.Numerous methods have been proposed applied various over past few decades.This paper introduces new MCO method suitable for continuous, nonlinear problems.The concept of method, spotlight search (SSM),...