At present, with the rapid development of the information industry, database technology has been greatly affected, and distributed database systems have gradually emerged. This article explains in detail the implement...
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This paper introduces an innovative low-cost approach to real-time range synchronization, tailored to meet the demands of time-sensitive safety-critical applications. Traditionally, safety-critical applications such a...
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ISBN:
(纸本)9798350350470;9798350350487
This paper introduces an innovative low-cost approach to real-time range synchronization, tailored to meet the demands of time-sensitive safety-critical applications. Traditionally, safety-critical applications such as rocket launches rely on dedicated range timesynchronization protocols like IRIG-B to achieve precise timesynchronization of distributed systems within the range. However, Commercial Off-the-Shelf (COTS) solutions for IRIG synchronization are often prohibitively expensive. In this study, we present a feasibility analysis to implement the IRIG-B protocol on a low-cost embedded solution that fulfills all the requirements of the aerospace industry. Our solution utilizes the Programmable real-time Units embedded within the BeagleBone Black as a cost-effective means to precisely implement the IRIG-B protocol. The implementation comprises a Demodulator module, a BeagleBone PRU-based decoder module, a Triple Modular Redundant logic for optimal IRIG input selection from three independent IRIG chains, and a UDP protocol for precise timesynchronization of different subsystems within the range. The results of our study demonstrate compliance with aerospace industry requirements, and further ablation studies were conducted to ensure the reliability of our findings. This work enhances real-time range synchronization in aerospace applications by providing a practical and cost-effective solution for precisely synchronizing multiple subsystems within a range through a network-based protocol.
Locust swarms are destructive agricultural and biological disasters in China. The green prevention and control (GPC, such as ecological regulation and physical control) of locusts is a comprehensive and complex proces...
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Locust swarms are destructive agricultural and biological disasters in China. The green prevention and control (GPC, such as ecological regulation and physical control) of locusts is a comprehensive and complex process, especially in information technology. In this study, a web-based decision support system (DSS) integrated with geographic information system (GIS) is developed to prevent and control locusts efficiently, accurately, and rapidly. The locust prevention and control DSS (LPCDSS) is developed to assist farmers and local government agencies in Chinese provinces with high incidence of locust by providing spatial decision-making information. LPCDSS offers online access to county, city, provincial, and national level data queries and is capable of storing, spatial analyzing, and displaying geographically referenced information of locust data. The system can also provide the real-time tracking of global positioning system (GPS) location, as well as goods scheduling of locust plagues prevention. Six types of web service, real-time data synchronization model, and locust population estimation model are developed and implemented to improve the decision-making usability and feasibility of LPCDSS by adopting a three-layer system architecture. The system is developed by using several programming languages, libraries, and software components. As a result, this system has been running successfully for several years and has improved efficiency of the locust prevention and control in China with high efficiency and great accuracy. The approaches and methodologies presented in this paper can serve as a reference for those who are interested in developing integrated pest control system applications. (C) 2017 Elsevier B.V. All rights reserved.
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