2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)最新文献

{"title":"Evaluation of a Multimodal Interface for Pilot Interaction with Avionic Systems","authors":"J. Gauci, K. Theuma, A. Muscat, D. Zammit-Mangion","doi":"10.1109/DASC.2018.8569607","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569607","url":null,"abstract":"To date, most of the interactions between pilots and avionic systems of commercial passenger aircraft are carried out using physical controls. This paper discusses the evaluation of a multimodal interface which allows pilots to control various avionic systems using a combination of touchscreen gestures (via a single touchscreen interface) and voice commands. This interface was evaluated by eight commercial airline pilots in a fixed-based flight simulator. Although various improvements can be made to the interface, the evaluations successfully demonstrated the feasibility and potential benefits of using a multimodal interface in commercial flight.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134297116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flight Planning Under Trajectory-Based Operations","authors":"S. Mondoloni","doi":"10.1109/DASC.2018.8569292","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569292","url":null,"abstract":"Trajectory-Based Operations enable key changes to traditional approaches used for flight planning. The exchange of more and more timely information through System-Wide Information Management provides flight planners with greater situational awareness allowing a better assessment of an individual flight's outcome, given a flight plan. In-flight re-planning and collaborative planning further allows strategic decisions to consider and adapt to tactical impacts. This study describes and investigates three levels of flight planning: deterministic, expected value and collaborative planning enabled through Trajectory-Based Operations. Benefit mechanisms are described and a quantitative example coupling constraints on the North Atlantic Tracks with arrival management constraints is evaluated through simulation. Results show reductions in average costs and their standard deviation.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116496412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge Discovery for Avionics Maintenance Support","authors":"P. Luis, Lortal Gaëlle, Ma Yue, Reynaud Chantal","doi":"10.1109/dasc.2018.8569856","DOIUrl":"https://doi.org/10.1109/dasc.2018.8569856","url":null,"abstract":"In avionics maintenance complex and time-consuming actions have to be taken to return faulty equipment to a fully functional state. The objective of this work is to support the maintenance activity by providing technicians with cues of actions to take, in order to repair a faulty component. We use an ontology to model avionics maintenance, and discover new concepts in the ontology characterizing the equipment failures. In a further step we associate these new concepts to a set of corrective actions, and we use them as suggestions to support the technicians in the diagnosis process. The method intends to explore only those concepts expressions that are relevant i.e. that are related to some sample. We provide our own algorithm for concept learning that allow us to explore a (potentially reduced) space of concept expressions, and to trace the reason (the properties in the samples) that leads us to select each expression. A prototype for avionics maintenance diagnosis support has been implemented, where given an equipment test as an input, the suggested corrective actions are returned as output. The prototype uses information from a Thales Avionics (France) repair shop, with whom we have developed the model and selected the data. The final implementation is hosted in Thales Research & Technology (France) using a BigData platform, allowing massive processing and remote access. In this paper, we introduce the use-case and the data and then position the solution, the most relevant notions and the algorithms used. At the end, we present the implementation of the prototype for our use case before concluding and the plan for the upcoming work.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132114475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design Approach of a Future Air-to-Air Data Link","authors":"Miguel A. Bellido-Manganell","doi":"10.1109/DASC.2018.8569594","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569594","url":null,"abstract":"In the context of SESAR and NextGen frameworks, a series of air traffic services and operational concepts are envisaged for modernization of the air traffic management. These, however, assume the availability of an air-to-air (A/A) data link capable of supporting addressed, multicast, and broadcast data as well as voice communications under stringent performance requirements. Even though several A/A data links are available today, none of them is expected to be able to support all envisaged services under the demanding performance requirements. In this paper, we take the initial steps for the design of an advanced A/A data link. This system will not only have to support the envisaged services, but also to fulfil minimum performance requirements under the highly challenging dense air traffic expected in the future. First, we analyse the potential applications of the A/A data link and outline its desired capabilities and main design challenges. Then, we discuss the suitability of different medium access schemes, forward error correction codes, and modulation schemes for the design of the A/A data link. The most interesting candidates are proposed for a deeper analysis. Finally, we assess the availability of suitable air-to-ground, ground-to-ground, and air-to-air channel models, to be used for the design and evaluation of the A/A data link.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128504764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven Aircraft Trajectory Predictions using Ensemble Meta-Estimators","authors":"A. M. Hernández, Enrique J. Casado Magaña, A. Berná","doi":"10.1109/DASC.2018.8569535","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569535","url":null,"abstract":"Aircraft trajectory prediction is nowadays a core task in the development and implementation of new concepts and tools within the Air Traffic Management and Control environment. Traditionally, this problem has been tackled by the usage of sophisticated model-based approaches that do not consider tactical situations that greatly influence the actual evolution of the aircraft's trajectory. Currently, the focus has shifted towards the application of data-driven methods, which enable the adoption of these factors thanks to learning algorithms trained with recorded trajectory information. In this paper, the aircraft trajectory prediction problem is formulated as a regression problem to be solved by state-of-the-art ensemble machine learning techniques. The selected algorithms have been trained using reconstructed trajectory datasets derived from actual surveillance recorded data. Once trained, to compute a trajectory prediction, they are fed only by information available prior to the flight departure (i.e. filed Flight Plans and weather forecasts). Then, the predictions issued by the different families of ensemble meta-estimators are compared to weigh their suitability and accuracy as data-driven trajectory predictors. The main results show that the data-driven predictors presented in this paper are potentially able to estimate parameters at a designated trajectory points such as the Estimated Time of Arrival within an average error of ≈ 10 sec, which represents extraordinary results for ATM purposes, and the aircraft mass within an average range of ≈75 kg, thus possibly enabling very highly accurate future environmental impact assessments.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128510419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Object Oriented Checkers as a First Step Towards Coverage Driven Verification in DO-254 Design Assurance","authors":"H. Carter, T. Fitzpatrick, P. Williams","doi":"10.1109/DASC.2018.8569591","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569591","url":null,"abstract":"ASIC devices deployed in avionics systems continue to grow in complexity presenting verification challenges that must be addressed to ensure safe deployment. DO-254 recommends a requirements driven verification approach for these ASIC devices under test (DUTs). One of the simplest., and most obvious implementations of this recommendation is the construction of directed testcase libraries with each testcase corresponding to a specific ASIC design requirement. The one to one correspondence between testcases and design requirements makes the testcases easy to track in requirements based projects. However, this intentional one to one mapping between testcases and requirements buries much of the inherent value of the testcase library. While multiple requirements are usually exercised in each testcase, only one is intentionally checked. Bugs in the exercised secondary design requirements will not be detected if they do not impact operation of the primary requirement addressed by the test case. The one to one correspondence between testcases and requirements may also hide bugs that are caused by (perhaps unintended) interactions between two or more design requirements. Constrained random coverage driven verification, (CRCDV), a widely adopted verification methodology, addresses these and other shortcomings of directed testing by exercising and checking multiple design features in parallel. CRCDV consists of three steps: 1. Randomizing stimulus, including internal configuration parameters as well as external inputs, to the DUT; 2. constructing checkers-decoupled from the stimulus generation in step 1-used to detect errors in the DUT's functionality by observing only the inputs and outputs of the DUT; and 3. Cataloging, through functional coverage, the randomly generated stimulus, (again decoupled from the stimulus generation of step 1)., applied to the DUT to ensure that it covers a sufficient portion of the DUT's stimulus space. While CRCDV is a powerful and valuable methodology, making the move to this approach all at once can be a daunting and expensive prospect. What might not be immediately apparent is that there is unexploited randomness built into even pure directed testing verification environments. This randomness is inherent because various secondary device features are utilized in testing the primary feature of a test case. This randomness, however, typically remains hidden-its value not leveraged-because while the secondary features are exercised in ways that were perhaps not emphasized in the test cases where the secondary feature was the primary focus., in typical directed test suites., there are no checks for the correct operation of these secondary features. This paper outlines a small, but very valuable first step in the move to CRCDV: transferring existing directed testing checks into an object oriented, (OO), memory cloud where they can be independently utilized by all existing testcases. Because the methodology described requires no c","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134204000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Probably Heretical Look at Some of the Problems with the Conceptual Basis for Low Level and Derived Requirements, Followed by a Ray of Hope","authors":"M. Jaffe","doi":"10.1109/DASC.2018.8569849","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569849","url":null,"abstract":"Despite years of discussion within several RTCA/EUROCAE committees and the publication of various FAQ,s., both numerous unofficial ones on the web and the official ones published in DO-248C [4], there is still a fair bit of confusion over exactly what constitutes low level requirements and derived requirements. The problem is exacerbated by the fact that, although the terms are intuitively straight forward and appealing, the DO-178C [3] definitions are at odds with those in several other well-known standards documents such as IEC/ISO/IEEE 24765, Systems and Software Engineering - Vocabulary [2]. The result is that when trying to settle the seemingly interminable disputations about the nature of these terms, so central to understanding several crucial DO-178C objectives., we have little to build on from any outside sources. The purpose of this paper is to show the extent of the problem and then propose some possibly heretical ideas for the eventual upgrade of DO-178C to a D version in these areas, ideas which have been further developed in the years since the overly hurried and ultimately unsuccessful efforts in IP-217 to address these issues during the course of SC205.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134365462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Concept of Operations for Advanced Interval Management Applications in an Arrival Metering Environment","authors":"W. J. Penhallegon, H. Stassen","doi":"10.1109/DASC.2018.8569466","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569466","url":null,"abstract":"This paper describes Advanced Interval Management (A-IM) Operations planned to be available in the United States National Airspace System in the next decade. The focus is on a class of applications termed Interval Management Arrivals and Approaches with Time-Based Metering Setup. These are summarized in terms of: expected benefits; enabling avionics capabilities; controller and flight crew roles and responsibilities; and integration touchpoints between ground systems such as en route and terminal metering platforms. Sample scenarios illustrating selected applications are included.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133300426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heterogeneous Aeronautical Communications Network with Interference-Aware Detectors","authors":"Rajendra Prasad Sirigina, A. Madhukumar, Mark D. J. Bowyer","doi":"10.1109/DASC.2018.8569347","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569347","url":null,"abstract":"Full frequency reuse based heterogeneous satellite networks, where the satellite and terrestrial networks transmit on the same sub channel, is proposed. The inter spot beam interference and inter system interference (interference from the terrestrial base station) are the major performance-limiting factors at the satellite user. In this work, a novel approach, where only the dominant interfering signal is mitigated while ignoring the other interfering signals, is proposed. Interference-aware detector is proposed to mitigate the dominant interfering signal. In particular, successive interference canceler and joint decoder based interference mitigation strategies are investigated. The robustness of the joint decoder compared to that of the interference ignorant detector and successive interference canceler is proved through Monte-Carlo simulations.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134158825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AIRPORTS Metrics: A Big Data application for computing flights' performance indexes based on flown trajectories","authors":"I. García-Miranda, Laura Hernán-Muñoz, F. Díaz, A. Bregón, Miguel A. Martínez-Prieto, P. C. Álvarez-Esteban, J. Lopez-Leones","doi":"10.1109/DASC.2018.8569873","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569873","url":null,"abstract":"A research line of the AIRPORTS Project, a partnership between Boeing Research and Technology-Europe (BR&TE) and several Spanish institutions, is focused on the measurement and assessment of performance indicators involved in ATM systems from surveillance data. As primary source of information we have different ADS-B (Automatic Dependent Surveillance - Broadcast) providers and, possibly, other sources that can enrich the raw data with other flight-related information. Previous work has already proposed and described a Big Data-based architecture, referred to as AIRPORTS DL, to manage in a scalable way the huge available collection of data. The conceptual data model is built around a sequence of ADS-B messages to reconstruct flight trajectories and, if possible, relates each trajectory with the departure and arrival airports, the aircraft being used, the corresponding airline or its flight-plan. In this paper, we describe a first attempt to develop an end-user application under the AIRPORTS DL framework. The application computes different metrics or performance indexes that depend only on the flown trajectory (e.g., traffic density, peak load or number of conflicts). Details about the proposed workflow for computing in advance these metrics are given and then, some examples of computed metrics for reference volumes (ATC sectors, FIR regions or ASMA circles around major airports) of the Spanish airspace during the year 2016 are used to illustrate novel visualization components in the AIRPORTS dashboard.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133364028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}