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1st Space Exploration Conference: Continuing the Voyage of Discovery

作者： Goforth, Andre Karsai, Gabor Orosz, Michael Neches, Robert Szekely, Pedro Ashish, Naveen NASA Ames Research Center Moffett Field CA 94035-1000 United States Vanderbilt University Institute for Software Integrated Systems Nashville TN 37235 United States University of Southern California Information Sciences Institute Marina del Rey CA 90292 United States USRA Research Institute for Advanced Computer Science NASA Ames Research Center Moffett Field CA 94035 United States Code TC MS269-4 United States Department of Electrical and Computer Engineering Distributed Scalable Systems Division

ISBN: (纸本)1563477270

Program affordability needs to be built-in at the initial concept formulation stage. For NASA's space exploration vision this is critical for long range sustainability of human presence in space. What is often overlooked in the initial concept formulation of a large scale system endeavor such as NASA's Constellation program is the hidden cost of maintaining requisite operational safety margins and redundancy through adequate supply chain logistics. Ensuring adequate supply chain logistics necessitates the integration of operations and maintenance cycles. What enables this integration is the coordination and reconciliation across multiple equipment types of system health features and logistical information such as: (1) prognostic drivers from Integrated Vehicle Health Monitoring (IVHM) systems producing proactive condition-based "maintain me" demands, (2) maintenance management systems tracking usage and producing scheduled maintenance demands, (3) unscheduled maintenance demands resulting from any trouble reports entered by human observers of conditions missed by the IVHM system, and (4) implicit maintenance demands resulting from mission plans which require assignment of vehicular/robotic assets and consequently require assurance of the assigned assets' fitness for the intended tasks. In this paper we discuss how Coordinated Multi-source Maintenance on Demand (CMMD) technology, which is being is transitioned to the USMC Coherent Analytical Computing Environment (CACE) program and the Joint Strike Fighter Program, can be applied to the NASA domain, and its benefits in terms of mission affordability, operations efficiency and system health effectiveness. Using concepts derived from CMMD, we discuss the kind of IVHM capabilities needed to optimize multiple, parallel, yet inter-linked, operations-maintenance cycles, thereby optimizing program affordability while meeting specific mission supportability requirements across a broad range of mission scenarios.

关键词： Space research

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Fault mitigation schemes for future spaceflight multicore processors

Fault mitigation schemes for future spaceflight multicore pr...

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AIAA Infotech at Aerospace Conference and Exhibit 2012

作者： Alexander, James W. Clement, Bradley J. Gostelow, Kim P. Lai, John Y. Jet Propulsion Laboratory California Institute of Technology GN and C Hardware and Testbed Development Group 4800 Oak Grove Drive MS 198-235 Pasadena CA 91109 United States Jet Propulsion Laboratory California Institute of Technology Cyber Defense and Information Architecture Group 4800 Oak Grove Drive MS 301-285 Pasadena CA 91109 United States Jet Propulsion Laboratory California Institute of Technology Advanced Computer Systems and Technologies Group 4800 Oak Grove Drive MS 321-151 Pasadena CA 91109 United States

ISBN: (数字)9781600869396

ISBN: (纸本)9781600869396

Future planetary exploration missions demand significant advances in on-board computing capabilities over current avionics architectures based on a single-core processing element. The state-of-the-art multi-core processor provides much promise in meeting such challenges while introducing new fault tolerance problems when applied to space missions. Software-based schemes are being presented in this paper that can achieve system-level fault mitigation beyond that provided by radiation-hard-by-design (RHBD). For mission and time critical applications such as the Terrain Relative Navigation (TRN) for planetary or small body navigation, and landing, a range of fault tolerance methods can be adapted by the application. The software methods being investigated include Error Correction Code (ECC) for data packet routing between cores, virtual network routing, Triple Modular Redundancy (TMR), and Algorithm-Based Fault Tolerance (ABFT). A robust fault tolerance framework that provides fail-operational behavior under hard real-time constraints and graceful degradation will be demonstrated using TRN executing on a commercial Tilera® processor with simulated fault injections. © 2012 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Fault tolerance

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Vision based Injector Spray pattern Testing system

Vision based Injector Spray pattern Testing system

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International Joint Conference on Neural Networks (IJCNN)

作者： Priyanka Desai Sreela Sasi Manoj Kumar Prabhakaran Completed MS degree in Computer and Information Science Gannon University Erie PA USA Gannon University Erie PA USA General Electric Transportation Systems Erie PA USA

In a diesel engine any malfunction of the injector degrades engine performance. Currently, the testing of injectors is done using Volumetric Testing, Illuminated spray test tube with high intensity LED or ITU-101 Common rail tester. The current methods require experienced and skilled personnel and are manual in nature. In this research, a novel computer vision based Injector Spray pattern Testing (VIST) system is designed to automate the testing of the diesel spray pattern using images acquired using a CCD camera. The macroscopic and microscopic features of the images are extracted, and analyzed for testing the reliability of the diesel injector. An interactive user interface is developed to display the results. As compared to the manual volumetric testing, the VIST system is more accurate because it uses individual plume features to distinguish between good and defective injector.

关键词： Spraying System testing Diesel engines Automatic testing Degradation Light emitting diodes Rails Personnel computer vision Charge coupled devices

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Web-it-man: A web-based integrated tool for manufacturing environment

Web-it-man: A web-based integrated tool for manufacturing en...

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ASME 1998 Design Engineering Technical Conferences, DETC 1998

作者： Karne, Ramesh K. Dandekar, Swati V. Poluri, Sridhar Chen, Gang Baras, John S. Nau, Dana S. Ball, Michael O. Lin, Edward Trichur, Vinai S. Williams, James T. Towson University Department of Computer and Information Sciences Stephens Hall TowsonMD21252 United States Isr A.V.Williams Building University of Maryland College ParkMD20742 United States Northrop Grumman Electronic Sensors and Systems Division P.O.Box 746 MS 709 BaltimoreMD21203 United States

ISBN: (纸本)9780791880364

Exponential growth in Internet applications and the need for a global access for future manufacturing demands webbased tools that operate seamlessly in heterogeneous environments. We present a Web-based Integrated Tool for Manufacturing that assists designers with a variety of CAD/CAM tools through a unified user interface. Web enabled system architecture is proposed for the future development of manufacturing tools. Design issues and research topics pertinent to this architecture are described. A prototype implementation based on this architecture and its current status is outlined. Finally, our research efforts in the development of this tool and some future research areas are identified. © 1998 by ASME.

关键词： computer aided design

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SOFTWARE FAILURE DATA ANALYSIS USING THE LEAST SQUARES APPROACH AND THE TIME PER FAILURE CONCEPT

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International Journal of Reliability, Quality and Safety Engineering 1995年第2期2卷 161-176页

作者： G.J. KNAFL J.A. MORGAN R.L. FOLLENWEIDER R.M. KARCICH School of Computer Science Telecommunications and Information Systems DePaul University 243 South Wabash Ave. Chicago IL 60604–2302 USA Systems Reliability Engineering Department Storage Technology Corporation MS 4232 2270 South 88th Street Louisville CO 80028 USA

We adapt data analytic techniques to the software reliability setting. We develop an evaluation procedure based on scatterplots of transformed data, crossvalidation using the predicted residual sum of squares (PRESS) criterion, residual plots, and normal plots. We analyze a software failure data set collected at Storage Technology Corporation utilizing this evaluation technique. We identify a new model which, for this data set, outperforms several established software reliability models, including the delayed S-shaped, exponential, inverse linear, logarithmic, power, and log power models. The failure intensity, and hence the reliability, for this model at any point in time is a function of the time per failure, that is, the ratio of cumulative time divided by cumulative failures, a quantity that agrees with the mean time between failures for time points at which failures occur.

关键词： Least Squares Predictive Validation Software Reliability Time per Failure Models

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Hybrid powertrain design using a domain-specific modeling environment

Hybrid powertrain design using a domain-specific modeling en...

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： W. Gao S. Neema J. Gray J. Picone S. Porandla S. Musunuri J. Mathews Center for Advanced Vehicular Systems Mississippi State University Starkville MS USA Institute of Software Integrated Systems Vanderbilt University Nashville TN USA Department of Computer and Information Sciences University of Alabama Birmingham Birmingham AL USA

State of the art design tools in automotive engineering still lack the power, sophistication, and automation of design tools that are used in the electronics industry. Widely accepted automotive powertrain design tools such as PSAT and ADVISOR still rely on manual manipulation of the design parameters for optimization. This paper presents a new methodology that merges model-based design, knowledge-based engineering, and physics-based modeling to realize large-scale design optimization. The extensible domain-specific design environment is capable of rapidly assimilating new knowledge from experts and design database. Further, it can be used to automate the management of design knowledge in a customizable manner. Introducing a design process that can handle the complexity of millions of competing constraints in an automated way will allow automotive manufacturers to reduce design time considerably.

关键词： Mechanical power transmission Automotive engineering Design optimization Design automation Electronics industry Design engineering Knowledge engineering Power engineering and energy Large-scale systems Databases

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Validating a Two Category Secured Access Database Model

Validating a Two Category Secured Access Database Model

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Marn-Ling Shing Chen-chi Shing Kuo Lane Chen Huei Lee Early Child Education Department and Institute of Child Development Taipei Municipal University of Education Taipei Taiwan Information Technology Department Radford University Radford VA USA School of Accountancy and Information Systems University of Southern Mississippi Hattiesburg MS USA Department of Computer Information Systems Eastern Michigan University Ypsilanti MI USA

Unauthorized attempts to access database and data warehouse in a data mining system are unavoidable. The privileged group and the public group are involved in a secured data mining system. The privileged group may take four different actions and the public group who has only two different ¿read¿ privileges. In this paper this two category secured access database model by semi-Markov chains is discussed. It shows how to validate this simplified two category secured access database model.

关键词： Databases Data mining information systems Data warehouses Internet Scattering Fuzzy systems information technology Computational modeling computer simulation

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Modeling Confidentiality in a Simplified Database Access

Modeling Confidentiality in a Simplified Database Access

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International Joint Conference on Bioinformatics, systems Biology and Intelligent Computing, IJCBS

作者： Chen-chi Shing Marn-Ling Shing Kuo Lane Chen Huei Lee Early Child Education Department and Institute of Child Development Taipei Municipal University of Education Taipei Taiwan Information Technology Department Radford University Radford VA USA School of Accountancy and Information Systems University of Southern Mississippi Hattiesburg MS USA Department of Computer Information Systems Eastern Michigan University Ypsilanti MI USA

In a simplified secured database access model, privileged group and public group can access data with any distribution. In order to secure the database, the confidentiality policy must be applied. Often, the management of the database privacy is neglected. This paper looks into the data confidentiality management and suggests to use semi-Markov chains to model the policy and the simulation results are discussed.

关键词： Databases information security Data security Software tools IEEE news Web pages Markov processes Distributed computing Pediatrics Data privacy

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Enhanced and Explainable Deep Learning-Based Intrusion Detection in IoT Networks

Enhanced and Explainable Deep Learning-Based Intrusion Detec...

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MILCOM, Military Communications Conference

作者： Sohan Gyawali Kamran Sartipi Benjamin Van Ravesteyn Jiaqi Huang Yili Jiang Department of Technology Systems East Carolina University NC USA Department of Computer Science East Carolina University NC USA Department of Computer Science and Cybersecurity University of Central Missouri MO USA Department of Computer and Information Science University of Mississippi MS USA

The proliferation of IoT networks has significantly increased the potential for cyber attacks. Deep learning models have shown effectiveness in detecting complex attacks; however, they face challenges related to imbalanced datasets and a lack of interpretability. In this work, we propose an enhanced and interpretable deep learning approach that addresses the common challenges of data imbalance and interoperability. To tackle the data imbalance issue, we employ CTGAN, a technique that expands the dataset by generating synthetic samples for the minority class traffic. Additionally, we utilize Boruta Shap for feature extraction, resulting in a reduced number of features and enhancing the efficiency of detection. Moreover, we incorporate SHAP for model explainability. We validate the results obtained from SHAP by conducting a thorough analysis of each attack type in both the NSL-KDD and UNSW-NB15 datasets. Furthermore, we conduct a comparative evaluation of our framework against a previous approach, demonstrating that our proposed framework outperforms the previous one in accurately detecting attacks for majority of class types.

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Federated Learning Model for Early Detection of Dementia Using Blood Biosamples

Federated Learning Model for Early Detection of Dementia Usi...

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Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), IEEE International Conference on

作者： Mohamed Elsersy Ahmed Sherif Ahmad Abdel-Aliem Imam Mohammad M. R. Khan Mamun Kasem Khalil Mohamed Haitham Computer and Information Systems Dept. Higher Colleges of Technology Abu Dhabi UAE School of Computing Sciences and Computer Engineering University of Southern Mississippi MS USA College of Osteopathic Medicine William Carey University Mississippi MS USA Electrical and Computer Engineering Department Tennessee Technological University TN USA Electrical and Computer Engineering Department University of Mississippi MS USA University of Prince Edward Island (UPEI) Cairo Egypt

Alzheimer’s disease (AD) is a serious, long-term health problem that causes much pain and loss for the person with it and their family. Its early and accurate detection might result in a substantial reduction of the disease outcomes and consequences. Blood biosamples are a simple and inexpensive technique in medical testing. This paper proposes diagnostic models for blood biosamples based on federated learning (FL) and its modifications to detect AD early. Our experiments used blood biosample data sets from the ADNI website to evaluate our models. Our performance analysis indicates that our algorithms are more accurate and achieve an accuracy of 87% for early detection.

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