2016 IEEE AUTOTESTCON最新文献

{"title":"Testing GPS systems and devices with M-Code","authors":"L. Perdue, Tim Klimasewski","doi":"10.1109/AUTEST.2016.7589566","DOIUrl":"https://doi.org/10.1109/AUTEST.2016.7589566","url":null,"abstract":"A major component of GPS modernization, M-Code offers further improvement to the anti-jamming and secure access of radio-navigation signals to the armed forces. M-Code is required for all US DOD applications after FY17. This paper provides a brief update on the introduction of M-code as the replacement for the previous generation of encrypted GPS known as SAASM. It then describes testing M-Code compatible systems by RF simulation for integrators and testers of navigation systems to ensure a successful transition to M-Code receivers.","PeriodicalId":314357,"journal":{"name":"2016 IEEE AUTOTESTCON","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116364728","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":"Integrating cybersecurity into NAVAIR OTPS acquisition","authors":"Thomas Combass, A. Shilling","doi":"10.1109/AUTEST.2016.7589632","DOIUrl":"https://doi.org/10.1109/AUTEST.2016.7589632","url":null,"abstract":"Assessment of cybersecurity vulnerabilities and associated risks is a prevalent and escalating requirement for the Operational Test Program Set (OTPS) acquisition and development communities. In August of 1992, the Defense Information Systems Agency (DISA) developed the Department of Defense Information Technology Security Certification and Accreditation Process (DITSCAP); an assessment process for all Department of Defense (DoD) information systems. The accreditation and requirements process was service-specific and system-centric. In July 2006, the DoD Information Assurance Certification and Accreditation Process (DIACAP) was distributed. DIACAP implemented enterprise-wide Information Assurance (IA) through a standardized set of IA controls with continuous monitoring and annual reviews of the system's security posture. The current process, implemented in May 2014, is the Risk Management Framework (RMF). RMF is a more dynamic and integrated process than its predecessors. Instead of DoD defined security controls, RMF uses the Committee on National Security Systems Instructions (CNSSI) and National Institute of Standards and Technology (NIST) publications for its risk assessment guidelines and security control references respectively. Under RMF, all Information Technology (IT) is placed into four broad categories. These categories are Information Systems (IS), Platform IT (PIT), IT services and IT products. Fundamentally, all DoD IT assets must be categorized, security controls tailored, and implemented for the specific asset. Operational Test Program Sets (OTPS) mainly fall into the category of PIT. However, there may be circumstances where OTPSs fall into the category of an IS or any number of ambiguous areas. Since only generic high-level guidance is provided to evaluate PIT, guidelines for evaluating PIT OTPSs will be summarized. Also, since not all OTPSs are PIT and it may not be immediately clear which system category an OTPS falls, guidelines will be created to define these systems for proper evaluation. For the majority of OTPSs during the acquisition lifecycle; risk categorization, control selection, and assessment will occur. Case studies of OTPSs will be analyzed and discussed; OTPS PIT, OTPS IS, and ambiguous examples. In each of these cases, the question of task dependence versus the definition of what makes a particular OTPS a PIT or IS will be explored.","PeriodicalId":314357,"journal":{"name":"2016 IEEE AUTOTESTCON","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128102861","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":"Complex system health analysis by the Graphical Evolutionary Hybrid Neuro-Observer (GNeuroObs)","authors":"F. J. Maldonado, S. Oonk, R. Selmic","doi":"10.1109/AUTEST.2016.7589604","DOIUrl":"https://doi.org/10.1109/AUTEST.2016.7589604","url":null,"abstract":"Obtaining methodologies that enable predictive health monitoring of components degradation and the propagation of related effects across the overall system is a need when designing complex systems (such as autonomous vehicles, robotic systems, and aerospace platforms). In this paper, a current software development is presented for workflow generation and visualization to evaluate how component degradation impacts an entire system. Relevant technical aspects of this “Graphical Evolutionary Hybrid Neuro-Observer” (GNeuroObs) include: (a) highly accurate system modeling; (b) techniques for system level analysis; and (c) low level entity instantiations that builds on health monitoring and root cause analysis. The GNeuroObs is described with the application of a fuel subsystem. In that system, the methodology allows for describing interrelations among a set of heterogeneous sensors, where Health Monitoring algorithms are used to analyze failures in entities and propagation of effects across the system.","PeriodicalId":314357,"journal":{"name":"2016 IEEE AUTOTESTCON","volume":"415 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124160274","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 modular, extendible, and reusable test configuration for design verification testing of mission computers","authors":"Mehmet Turkuzan, Yusuf Yildirim, Hayati Cem Atakan, Mert Degerli","doi":"10.1109/AUTEST.2016.7589585","DOIUrl":"https://doi.org/10.1109/AUTEST.2016.7589585","url":null,"abstract":"This study shows a different approach for mission computer testing. The standard procedure of testing mission computers consists of the design of wiring set and the interface adaptor. The overall system can be partitioned into three blocks, namely; mission computer(DUT), the interface adaptor, and the test computer. In order to test different mission computers with different wiring interfaces, the interface adaptor and the wirings between these blocks need to be updated for each mission computers. In this study a generic, computer aided and modular test configuration is proposed as a solution to the design verification tests of mission computers. The test computer is prepared on PXI chassis with all required communication ports (RS-422, RS-232, Ethernet, CAN, 1553). In addition, some required modules are added, such as a relay module, a multiplexer module, and a DMM module. A VPC G18 receiver is also combined with the test computer via some mechanical parts. A custom design interface box is the last part of the hardware. The software part is developed in C-sharp and is used mainly for automated tests. However it is also possible to be used at some manually configured, operator driven tests. The proposed test configuration provides a number of improvements compared to the existing test configurations. Reduced test preparation time, reduced engineering support for test preparation, reduced price, and reduced failure rate are some of the major improvements of the proposed system. This configuration is implemented and used on various mission computers that are deployed on various systems on different platforms.","PeriodicalId":314357,"journal":{"name":"2016 IEEE AUTOTESTCON","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133176763","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}