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Your search keyword '"Qiao, Yongjie"' showing total 29 results
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29 results on '"Qiao, Yongjie"'

4. Information Systems Dynamics: Foundations and Applications

Author

Xu, Jianfeng, Liu, Zhenyu, Wang, Shuliang, Zheng, Tao, Wang, Yashi, Wang, Yingfei, Qiao, Yongjie, and Dang, Yingxu

Subjects
Computer Science - Information Theory
Abstract

This article firstly reviews and summarizes the rapid development of information technology, characterized by the close combination of computer and network communication, which leads to a series of investigations, including the analyses of the important role of a series of technological achievements in the context of information movement and application, the interrelationship between the real-world, information space and information system, and the integrated framework of the real-world and information system, and the modifications and improvements of the Xu's previous mathematical theory on information models, properties and metrics. Based on the mathematical foundations, eleven types of information measure efficacies and their distribution across information systems are put forward, and then the dynamics configurations of information systems are comprehensively analyzed, which constitutes the basic theoretical framework of information systems dynamics with general significance. Finally, Smart Court SoSs (System of Systems) Engineering Project of China are introduced as the exemplified application of the theoretical work, which aims at providing a reference for the analysis, design, development and evaluation of large-scale complex information systems., Comment: in English language

Published
2021

24. Detection ability modeling of balloon-borne radar against cruise missile

Author

Qiao Yongjie, Wei Heng, Liu Jinrong, Ding Hong, and Xu Zhong-Fu

Subjects
Queueing theory, Engineering, business.industry, Process (computing), ComputerApplications_COMPUTERSINOTHERSYSTEMS, Radar lock-on, law.invention, ALARM, Cruise missile, Missile, law, Key (cryptography), Radar, business, Physics::Atmospheric and Oceanic Physics, Simulation
Abstract

To precisely estimate missile detection capability of balloon-borne radar is a key issue in designing low-altitude radar network. Based on stochastic service theory, an M/D/C finite queuing model of searching process is established, and the definition and calculation of balloon-borne radar service time, missing alarm probability and missile queuing time is presented. Through the analysis of L-88 balloon-borne radar search process, model validity is proved, the relationship between missing alarm probability and missile attack intensity is obtained. This model shows a good expansibility, and the results can be effectively applied to design land-based or air-based radar detection system.

Published
2011

25. Detection probability of early warning radar against hypersonic cruise missile

Author

Li Xiangru, Liu Jinrong, Qiao Yongjie, Ding Hong, and Bai Liping

Subjects
Man-portable radar, Cruise missile, Early-warning radar, business.industry, Computer science, 3D radar, Missile guidance, Aerospace engineering, Radar warning receiver, business, Radar lock-on, Semi-active radar homing, Remote sensing
Abstract

Detection probability against hypersonic cruise missile is a key factor to assess early warning radar performance. Based on the search theory, detection probability models of early warning radar for hypersonic cruise missile are set up respectively in the case of no target indication, missile azimuth and motion state indication. Take PAVE PAWS radar for example, detection probability of the three conditions above is solved. The research process can apply to design and evaluate the early warning radar.

Published
2011

28. Improved STMask R-CNN-based defect detection model for automatic visual inspection of an optics lens.

Author

Tang H, Liang S, Yao D, and Qiao Y

Abstract

A lens defect is a common quality issue that has seriously harmed the scattering characteristics and performance of optical elements, reducing the quality consistency of the finished products. Furthermore, the energy hotspots coming from the high-energy laser through diffraction of optical component defects are amplified step by step in multi-level laser conduction, causing serious damage to the optical system. Traditional manual detection mainly relies on experienced workers under a special light source environment with high labor intensity, low efficiency, and accuracy. The common machine vision techniques are incapable of detecting low contrast and complex morphological defects. To address these challenges, a deep learning-based method, named STMask R-CNN, is proposed to detect defects on the surface and inside of a lens in complex environments. A Swin Transformer, which focuses on improving the modeling and representation capability of the features in order to improve the detection performance, is incorporated into the Mask R-CNN in this case. A challenge dataset containing more than 3800 images (18000 defect sample targets) with five different types of optical lens defects was created to verify the proposed approach. According to our experiments, the presented STMask R-CNN reached a precision value of 98.2%, recall value of 97.7%, F1 score of 97.9%, mAP@0.5 value of 98.1%, and FPS value of 24 f/s, which outperformed the SSD, Faster R-CNN, and YOLOv5. The experimental results demonstrated that the proposed STMask R-CNN outperformed other popular methods for multiscale targets, low contrast target detection and nesting, stacking, and intersecting defects sample detection, exhibiting good generalizability and robustness, as well as detection speed to meet mechanical equipment production efficiency requirements. In general, this research offers a favorable deep learning-based method for real-time automatic detection of optical lens defects.

Published
2023
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29. Malignant transformation of an aneurysmal bone cyst of the femoral neck: A case report.

Author

Song X, Qiao Y, Zhang H, Sha L, Lou J, Yu X, Liu H, Zhu L, and Zhou S

Abstract

Aneurysmal bone cyst (ABC) is a benign, distending, osteolytic and locally aggressive bone tumor that is mostly associated with trauma. Approximately 1% of bone tumors are ABCs, which are most prevalent in adolescents and are usually detected in the spine and long tubular bones. The diagnosis of ABC mainly relies on histopathology, malignant transformation is rare, and the chance of malignancy increases if there are multiple recurrences. Due to the rarity of reports of malignant transformation of ABCs into osteosarcoma, there is still considerable debate on the appropriate treatment strategy. The current paper presents a case of aneurysmal bone cyst malignant to osteosarcoma and the therapeutic measures to provide expertise for the diagnosis and treatment of ABCs that are malignant to osteosarcoma., Competing Interests: The authors declare that they have no competing interests., (Copyright: © Song et al.)

Published
2023
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