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2020 Spring Simulation Conference, SpringSim 2020

作者： Chhaya, Bharvi Jafer, Shafagh Embry-Riddle Aeronautical University Department of Electrical Computer Software and Systems Engineering 1 Aerospace Boulevard Daytona BeachFL United States

ISBN: (纸本)9781565553705

Ontology-Driven software Development has emerged as a significant mechanism in creating domain-specific languages (DSLs), allowing for expressing domain concepts effectively. Once an ontology is built, it is a simple process to generate the language's metamodel and establish relationships among related concepts. However, the creation of the ontology is often a time-consuming and laborious task requiring familiarity with the domain being modeled as well as a basic understanding of ontology engineering. This paper discusses the use of natural language scenarios to create a domain ontology, which can be applied towards generating a metamodel for a DSL. A case study for aviation scenarios is presented by using increasing numbers of scenarios and comparing the models at different stages to observe the evolution of the ontology. The scenario-driven ontology developed is compared to an existing aviation ontology to understand its value. © 2020 SCS.

关键词： Ontology

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Corrigendum to: Facial Surface Anthropometric Features and Measurements With an Emphasis on Rhinoplasty

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Aesthetic surgery journal 2022年第2期42卷 230-231页

作者： M Mazhar Celikoyar Michael F Pérez M Ilhan Akbas Oguzhan Topsakal Department of Otolaryngology Istanbul Florence Nightingale Hospital Istanbul Turkey. Computer Science Department Florida Polytechnic University Lakeland FL USA. Electrical Computer Software and Systems Engineering Department Embry-Riddle Aeronautical University Daytona Beach FL USA.

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The Importance Of Security In Cyber-Physical System

The Importance Of Security In Cyber-Physical System

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IEEE World Forum on Internet of Things (WF-IoT)

作者： Faisal alrefaei Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona Beach FL

ISBN: (数字)9781728155036

ISBN: (纸本)9781728155043

There is a term more common and used on the full range between industries and authors, which is a cyber-physical system(CPS). It is a system that applied to smart grid, medical devices, and manufactory and civil infrastructure. CPS consists of three main components, which are sensors, actuators that connected by a network. Recently, we have seen there is a vast increase by using cyber-physical system, so the security of this system is critical at design more than any policy. The security of this sort of operation must be vital and reaching a high level of protection [2],[3],[13]. The security of this system includes some techniques to be used, such as attack detection attack design and secure estimation. As a result of that, the necessitate of security in this system is required. Hence, we address and collected issues and solutions. This paper analyzes and shows how we can prevent this system from unauthorized access or damages that would happen during the process. Also, it shows some examples and how some solutions are useful and valuable [21].

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Scenario-Based Generation of Ontologies for Domain-Specific Languages

Scenario-Based Generation of Ontologies for Domain-Specific ...

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Spring Simulation Conference (SpringSim)

作者： Bharvi Chhaya Shafagh Jafer Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona Beach FL USA

ISBN: (数字)9781565553705

ISBN: (纸本)9781728163642

关键词： Ontologies DSL Natural languages FAA OWL Airports Domain specific languages

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Data Resolution Improvement for Ocean of Things Based on Improved FCM

Data Resolution Improvement for Ocean of Things Based on Imp...

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2020 International Conference on Computing, Networking and Communications, ICNC 2020

作者： Yang, Jiachen Wen, Jiabao Jiang, Bin Song, Hoibing Kong, Fanhii Zhen, Zhizhio Tianjin University School of Electrical and Information Engineering Tianjin China Embry-Riddle Aeronautical University Department of Electrical Computer Software and Systems Engineering Daytona Beach United States Tianjin University of Technology School of Management Tianiin China Hebei University of Technology School of Artificial Intelligence Tianiin China

ISBN: (纸本)9781728149059

In Ocean of Things, information prediction is an important part of marine data processing. Due to a variety of marine acquisition devices, the distribution of marine information is discrete. The marine area is wide, and the resolution of the collected data is small, which causes the IoT device to accurately calculate the information of a small sea area. Processing discrete and sparse data is the main job of marine information processing equipment. The main purpose of this paper is to predict the information of the blind area based on the collected data. In order to increase the resolution of sea surface information, the availability of marine data in the Internet of Things is improved. This paper proposes a method for predicting information on marine blind spots. This method is based on the improved machine learning algorithm FCM. This method is used to predict sea surface temperature and improve the resolution of sea surface data. Finally, this paper has done a number of simulation experiments, based on different methods to predict the sea surface temperature. The experimental results are discussed and the performance of the proposed method is analyzed. © 2020 IEEE.

关键词： Surface temperature

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Emergency response UAS logistics models for coastal and offshore locations

Emergency response UAS logistics models for coastal and offs...

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2019 Institute of Industrial and systems Engineers Annual Conference and Expo, IISE 2019

作者： Rau, James Babiceanu, Radu F. Seker, Remzi Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona BeachFL United States

ISBN: (纸本)9781713814092

Recently there has been a rapid increase in the advancements and use of Small Unmanned Aerial systems (sUAS) for a wide range of applications ranging from precision agriculture, to environmental monitoring, and to the delivery of commercial products from logistic companies. Fixed wing, vertical takeoff-landing (FW-VTOL) sUAS offer significant usability and safety advantages over its rival systems. During emergencies, frequent transportation and delivery of medical materials, such as blood derivatives, among hospitals, and to mass causality scenes and offshore vessels are needed. This research considers sUAS logistics supply networks to all end locations within a 40 nautical miles radius, based from a central hub location. Units of medical materials will be continuously distributed outwards and return with emergency location samples. The optimization of this sUAS logistics supply model is based on transporting the most number of units between the hub and network nodes at the lowest cost of deployment and the shortest amount of time. At a first stage, the optimization model will include only one node of the network per flight, constraint to be relaxed at a second iteration where two or more nodes could be visited per each flight. © 2019 IISE Annual Conference and Expo 2019. All rights reserved.

关键词： Location

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Blocks' Network: Redesign architecture based on blockchain technology 2

Blocks' Network: Redesign architecture based on blockchain t...

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2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019

作者： Hanif, Moataz Song, Houbing Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona BeachFL32114 United States

ISBN: (纸本)9781728129778

The internet is a global network that uses communication protocols. It is considered the most important system reached by humanity, which no one can abandon [1]. However, this technology has become a weapon that threatens the privacy of users, especially in the client-server model, where data is stored and managed privately. Additionally, users have no power over their data that store in a private server, which means users' data may interrupt by government or might be sold via service provider for-profit purposes. Furthermore, blockchain is a technology that we can rely on to solve issues related to client-server model if appropriately used. However, blockchain technology uses consensus protocol, which is used for creating an incontrovertible system of agreement between members across a distributed network [2]. Thus, the consensus protocol is used to slow all member down from generating too fast in order to control the network creation pattern, which leads to scalability and latency problems. This paper will present a platform that leverages modernize blockchain called Blocks' Network. The system is taking into consideration the issues related to privacy and confidentiality from the client-side model, and scalability and latency issues from the blockchain technology side. Blocks' network is a public and a permissioned network that use a multi-dimensional hash to generate multiple chains for the purpose of a systematic approach. The proposed platform is users' assembly point to create a decentralized network via P2P protocols. The system has a high data flow due to frequent use by participants (e.g., the use of the Internet). Besides, the system will store all traffic of the network overtly via Blocks' Network. © 2019 IEEE.

关键词： Blockchain

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Incorporating a Virtual Reality Environment in the Teaching of Analysis of software Requirements 49

Incorporating a Virtual Reality Environment in the Teaching ...

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49th IEEE Frontiers in Education Conference, FIE 2019

作者： Ochoa, Omar Babbit, Adam Embry-Riddle Aeronautical University Department of Electrical Computer Software Systems Engineering Daytona BeachFL32114 United States

ISBN: (纸本)9781728117461

This Work in Progress paper in the Innovative Practice Category presents an approach to incorporate the use of a virtual reality environment in the teaching of analysis of software requirements through modeling. Common models include use case diagrams, state charts, data flow diagrams, etc., all serving their own role in defining different perspectives of a system. These different perspectives of the same system can be a powerful technique to facilitate the analysis of requirements about the system. Using a virtual reality environment allows for the linking of multiple perspectives from the separate analysis models to be viewed in three dimensions. This approach can be particularly beneficial to students in learning how to analyze models by providing a mechanism to examine the visual relationship between the perspectives. Using this approach allows the student to view, create, manipulate, and alter models within the native three-dimensional space, which can provide an indept. experience better suited for learning. The virtual reality environment also allows models to be nested to provide better abstractions and layered to provide a level of complexity impossible to replicate in the traditional two-dimensional space. This paper explores a prototype virtual reality environment to facilitate the use of software requirement models for undergraduate software engineering students. As part of this work, students will be exposed to the tool and tasked with using the virtual reality environment to analyze the models of systems. Assessment of the use of the approach will be conducted and results will be presented including feedback from the students, benefits found, insights and potential ways to evolve the approach for other areas such as design or testing. © 2019 IEEE.

关键词： Students

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Differential privacy–based location privacy enhancing in edge computing

Differential privacy–based location privacy enhancing in ed...

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作者： Miao, Qiucheng Jing, Weipeng Song, Houbing College of Information and Computer Engineering Northeast Forestry University Harbin China Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona Beach United States

In the era of edge computing, real-time data preprocessing on the edge node has the potential to improve computational efficiency and data accuracy. However, a significant challenge is private data disclosure, particularly in the case of location-based services. To address this challenge, in this paper, by leveraging differential privacy, we propose a privacy-aware framework for mobile edge computing called MEPA to protect the location privacy in which the edge node is regarded as an anonymous central server. The proposed framework can provide computing services without deploying special infrastructure. To be specific, in order to solve the problem of constrained computing resources in the edge nodes, the algorithm of Quadtree Differential Privacy based on Hilbert curve division (QTDP-H) two-dimensional spatial data query transmission is proposed. First, a noise quadtree is established and the privacy budget is divided according to the tree level. Then, the constructed quadtree is represented by quanternary, so that the partition based on Hilbert curve can be established and the two-dimensional data in the area can be converted into one-dimensional, which can greatly improve the retrieval efficiency. The effectiveness of the proposed algorithm in terms of time complexity and retrieval accuracy has been verified by extensive experimental results. Compared with traditional methods of (D,Ε) − LP, the average runtime can be reduced by 15%-20%, and the average relative error is reduced by 20%. © 2018 John Wiley & Sons, Ltd.

关键词： Location based services

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An Association-Rules Learning Approach to Unsupervised Classification of Street Networks

An Association-Rules Learning Approach to Unsupervised Class...

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IEEE Southeastcon

作者： Quentin Goss Mustafa İlhan Akbaş Alireza Chakeri Luis G. Jaimes Florida Polytechnic University Lakeland FL Electrical ComputerSoftware&Systems Engineering Embry-Riddle Aeronautical University Daytona FL University of South Florida Tampa FL

ISBN: (数字)9781728168616

ISBN: (纸本)9781728168623

Street networks (SN) are intricate connections of roads and intersections; there is an enormous amount of available, open source street network (SN) data, such as the worldwide SN hosted by OpenStreetMaps, a popular source of SNs used in SUMO (Simulation of Urban Mobility) models, including the TAPASCologne project (TAPASCP). These SNs are intricate and high in feature dimension, notable are the edges containing data about road name, number of lanes, speed limit, etc. As a result, SN models that utilize this data are robust and highly-detailed. In this paper, we identify five significant ed ge features (SEF) from exploratory data analysis of the TAPASCP, present an unsupervised methodology of classifying bags of edges though an association rules learning approach to SEF aggregation, and measure the success of our methodology with SUMO simulations.

关键词： Analytical models Data analysis Roads Data models

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