The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Levent Guvenc - One of the best experts on this subject based on the ideXlab platform.
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development of a cross compatible micro Avionics System for aerorobotics
IEEE Intelligent Vehicles Symposium, 2007Co-Authors: T Mutlu, Sertac Karaman, S Comak, Ismail Bayezit, Gokhan Inalhan, Levent GuvencAbstract:In this work, we present a micro-Avionics System structured around the controller area network (CAN) bus data backbone. The System is designed to be cross-compatible across our experimental mini-helicopters and ground vehicles, and it is tailored to allow autonomous navigation and control for a variety of different research test cases. The expandable architecture deploys a hybrid selection of COTS Motorola (MPC555) and Arm processor boards (LPC2294), each with different operating Systems and coding techniques (such as rapid algorithmic prototyping using automatic code generation via Matlab/Real Time Workshop Embedded Target). The micro-Avionics System employs a complete sensor suite that provides real-time position, orientation and associated time-rate information. As a part of the on-going fleet autonomy experiments, we present the design of a novel wireless SmartCan node. This wireless node allows seamless CAN Bus access of low-level sensor and operational data of other vehicles within close proximity.
Guoqing Wang - One of the best experts on this subject based on the ideXlab platform.
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The organization and architecture of the Avionics System
The Principles of Integrated Technology in Avionics Systems, 2020Co-Authors: Guoqing Wang, Wenhao ZhaoAbstract:Abstract The organization architecture of the Avionics System is a System organization architecture oriented to System applications, System functions, and System resource requirements, which builds organization of System capabilities, System processes, and System performance, to achieve System application goals, System function processing, and System resource operations. The Avionics System architecture is a flight application mode based on multiple applications, multiple objectives, and multitype tasks. It covers the System functional capability with a wide range of disciplines, multitype domains, and multiple capabilities, supporting the Systemic organization of multiple resources, multiple environment, and multiple performance resource operations, and it provides the flight application task organization mode and architecture, System functional processing and architecture, and System physical resource organization mode and architecture. According to the illustration on the concept and organization of the Avionics System architecture, this chapter can be divided into three sections, where Section 2.1 introduces the current organization architecture of Avionics System, including separated, federated, integrated modular, and distributed integrated modular Avionics System. Section 2.2 discusses the hierarchical organization of applications, functions, and resources. Finally, Section 2.3 further discusses the organization mode of the hierarchical Avionics System, including task, function, and physical equipment as well.
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The integration of Avionics System organization
The Principles of Integrated Technology in Avionics Systems, 2020Co-Authors: Guoqing Wang, Wenhao ZhaoAbstract:Abstract The Avionics System organization is a Systemic structured organization. The application task layer, System function layer, and physical equipment layer have independent organization, operation and management modes, supporting System tasks, functions and equipment operation and management, and providing overall System organization and management capabilities. By building an Avionics System application task layer, System function layer, and physical equipment layer integrated organization and management, the Avionics System integration constructs System application tasks, function processing, and physical resources integration operation process to achieve System application tasks, function processing, and physics resource integration optimization goals. Chapter 7 can be divided into five sections. Section 1 introduces the System applications, capabilities, and equipment components. Section 2 describes the flight application mission, System function capabilities, and equipment physical resources integration mode. For the System integration organization, Section 3 describes the System task composition and organization process oriented to the target requirements of flight applications, the System function structure and organization process oriented to application task operation requirements, and the equipment resource composition and organization process oriented to System function processing requirements. Section 4 describes the System function mode of System applications, functions, and equipment. Finally, Section 5 describes the comprehensive technical organization architecture of System application tasks, System functions, and equipment resources.
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The integrated architecture of typical Avionics Systems
The Principles of Integrated Technology in Avionics Systems, 2020Co-Authors: Guoqing Wang, Wenhao ZhaoAbstract:Abstract Typical Avionics System integration architecture describes representatives of typical engineering integrated technical architecture in the development history of Avionics Systems. Through the balance between technological advancement and technological effectiveness, the balance between System organization and System complexity, and the balance between application requirements and development costs, the typical representatives of Avionics System integration technology architecture are formed: the federated System architecture, integrated modular Avionics (IMA) System architecture, and distributed integrated modular Avionics (DIMA) System architecture. Chapter 8 can be divided into three sections where it introduces the federated, IMA, and DIMA System integration one by one. Section 1 discusses that the federated System architecture is based on the digital technology, bus technology, and software technology capabilities at that time, and the application tasks of the System with different equipment are integrated. Section 2 describes that the IMA System architecture is based on the System general computing platform, hosted System application integration, and System network organization technologies to realize the integration of tasks based on IMA platform resources, IMA System functions, and Avionics System applications. And Section 3 describes that the DIMA System architecture is a distributed technology based on the application distributed organization, function distribution processing, and resource distribution operations of the System to achieve the task mode integration, function capability integration, and resource operation integration of Avionics System.
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Integrated Modular Avionics System Design Based on Formal Dynamic Organization
2019 IEEE AIAA 38th Digital Avionics Systems Conference (DASC), 2019Co-Authors: Miao Wang, Gang Xiao, Xiaoqin Liu, Guoqing WangAbstract:Avionics System integration is a System technology through which can improve the effectiveness of the System task, the efficiency of System function and the availability of resources operating. Therefore, the most important core technology of integrated Avionics System is to implement optimized System organizing for System efficiency, effectiveness and validity by adopting the uniform methods of System synthesis, fusion and integration based on System application requirements, System capacity and resource operating. The aim of integrated Avionics System is to minimize resource allocation and maximize operating effectiveness, as well as to optimize function executing and maximize System efficiency. In this paper, for integrated Avionics System, three views are proposed for the System organization and evaluation with the formal multi-stage decision making., i.e., formal dynamic organization., which paves more efficient and effective way to establish the integrated Avionics System. (Abstract)
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Research on Integrated Avionics System Safety
Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 2014Co-Authors: Guoqing Wang, Miao Wang, Lihua ZhangAbstract:System safety is the principal driver of Avionics System requirements and has caused more and more attention. For the reason that the main concern of Avionics System research is System capacity and constitution since early safety analysis, System reliability has become dominant trends for studying System effectiveness. With the Avionics System becoming more and more complex, the traditional research methods which are used in studying System reliability, faces the challenges of organizing problem for multiple System goals, multiple processes, multiple elements, multiple relations, and multiple conditions. To solve the problem of safety analysis for integrated Avionics System, hazard and mishap modes of Avionics System are studied and the methods of risk analysis, risk evaluation, risk controlling, risk elimination, and risk mitigation are presented based on the System risk controlling theory. Finally, the organizing and engineering technologies of System safety, software safety, and hardware safety are also discussed to provide foundation for designing integrated Avionics System safety.
T Mutlu - One of the best experts on this subject based on the ideXlab platform.
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development of a cross compatible micro Avionics System for aerorobotics
IEEE Intelligent Vehicles Symposium, 2007Co-Authors: T Mutlu, Sertac Karaman, S Comak, Ismail Bayezit, Gokhan Inalhan, Levent GuvencAbstract:In this work, we present a micro-Avionics System structured around the controller area network (CAN) bus data backbone. The System is designed to be cross-compatible across our experimental mini-helicopters and ground vehicles, and it is tailored to allow autonomous navigation and control for a variety of different research test cases. The expandable architecture deploys a hybrid selection of COTS Motorola (MPC555) and Arm processor boards (LPC2294), each with different operating Systems and coding techniques (such as rapid algorithmic prototyping using automatic code generation via Matlab/Real Time Workshop Embedded Target). The micro-Avionics System employs a complete sensor suite that provides real-time position, orientation and associated time-rate information. As a part of the on-going fleet autonomy experiments, we present the design of a novel wireless SmartCan node. This wireless node allows seamless CAN Bus access of low-level sensor and operational data of other vehicles within close proximity.
Shi Guoqing - One of the best experts on this subject based on the ideXlab platform.
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Communication performance analysis of Scalable Coherent Interface
2011 IEEE 2nd International Conference on Computing Control and Industrial Engineering, 2011Co-Authors: Zhang Jiandong, Wu Yong-le, Shi GuoqingAbstract:In the designing process of the integrated Avionics System, the bus System performance is closely related to the overall index of the entire Avionics System. Scalable Coherent Interface (SCI) possesses some advantages, such as low latency and high bandwidth, and it can also meet the interconnection requirements within a System and between Systems, which makes it applicable to various key operations. This paper researches the SCI multi-ring simulation problem. It starts from the SCI protocol, and uses Petri nets as a tool to establish an exchange unit model and the System model. At last it is found that the simulating and solving of the System model can derive the relationship between System throughput and delay time.
Xiong Huagang - One of the best experts on this subject based on the ideXlab platform.
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Reliability analysis on ring network of Scalable Coherent Interface
Asia-Pacific Conference on Environmental Electromagnetics 2003. CEEM 2003. Proceedings., 2003Co-Authors: Jiang Zhen-ya, Shao Dingrong, Xiong HuagangAbstract:The paper discusses the problem of reliability modeling on the Scalable Coherent Interface (SCI) in a distributed real-time Avionics System. Considering the System to be degradable, we propose a message-based source-termination reliability model for the SCI network. Numerical computations have been done to present the results graphically and a mathematical proof has also been given.