A Modeling Language Based on UML for Modeling Simulation Testing System of Avionic Software

Wang, Lize; Liu, Bin; Lu, Minyan

doi:10.1016/s1000-9361(11)60022-8

Cited by 8 publications

(2 citation statements)

References 7 publications

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“…The data layer is the data storage place of the smart contract, and the code is deployed in the ledger in a distributed and replicable manner, responsible for the functions of receiving, processing, storing, and sending, to achieve the automated execution of the contract terms. [4] Each node in the blockchain network records transaction information for each part, through a specific hash algorithm, these points are connected and form a block structure, from the perspective of cryptography theory, forming a decentralized database, information can be truly symmetric and shared, at the same time, each node synchronously updates the transaction information, reducing the possibility of tampering. Avoid mistakes.…”

Section: Blockchainmentioning

confidence: 99%

Research and Development of Intelligent Contract Auditing Platform Based on Artificial Intelligence Technology

Zhang,

Wang,

Zeng

et al. 2024

Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December

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The contract is an important legal element directly related to the interests of small and medium-sized enterprises (SMEs) and individuals. In the new era, we use artificial intelligence technology to solve contract problems in practice and realize the purpose of legal aid. The intelligent contract review platform utilizes several high-tech, based on the actual existence of the relevant issues to achieve the purpose of the research and development to reduce the risk of the contract, and at the same time to show the system's mode of operation, operational efficiency.

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Section: Blockchainmentioning

confidence: 99%

Research and Development of Intelligent Contract Auditing Platform Based on Artificial Intelligence Technology

Zhang,

Wang,

Zeng

et al. 2024

Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December

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“…This approach is presented using UML 2.2 notation with class diagrams for the conceptual model [13]. The UML means unified modeling language and appears in the avionics literature as base for other modeling approaches, such as the category DSML (domain-specific modeling language) to model simulation testing systems of avionic software [14]. Figure 2 shows the scheme of a general model process for the signal.…”

Section: Approach To Develop the Fdir Softwarementioning

confidence: 99%

FDIR for the IMU Component of AOCS Systems

Pontuschka

Fonseca

2014

Mathematical Problems in Engineering

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The main objective of this paper is the study of a FDIR for an IMU aiming at space applications with focus on the gyro signal analysis and the tests of the filtering algorithms. The algorithms have been tested by using lab data provided by the DMC LABSIM (Physical’s Simulation Laboratory of the Space Mechanics and Control Division of INPE). The results have demonstrated good agreement with the concepts applied in this study. Automatic detection procedures are very important in the characterization of occurrence, definition of criteria, and device types in the scenario of AOCS FDIR. An IMU comprised of four gyros in a tetrahedral configuration is one of the assumed components for the AOCS (attitude and orbit control subsystem) considered in this work. The types of failures considered in this paper are the step abrupt change, ramp/drift/slow, stuck, cyclic, erratic, spike, and finally the stuck for variance alteration noise. An appropriate algorithm for the automatic detection of each type of fault is developed. The approach includes the mapping capability of fault event indicators to the IMU. This mapping is very important in the characterization of the occurrence, definition of criteria, and device types as well as associated fault identification for an AOCS.

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