Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Yongrui Qin"'
Publikováno v:
Entropy, Vol 24, Iss 12, p 1733 (2022)
The intelligent monitoring of tool wear status and wear prediction are important factors affecting the intelligent development of the modern machinery industry. Many scholars have used deep learning methods to achieve certain results in tool wear pre
Externí odkaz:
https://doaj.org/article/500e5c43ecd9498e8a79933acf4f642c
Publikováno v:
IEEE Access, Vol 7, Pp 31422-31434 (2019)
For missile's accuracy assessment, an accurate separation about the guidance of systematic errors is a critical part. Based on the vehicles from a mobile launcher platform, this paper proposes a nonlinear error separation model and a corresponding me
Externí odkaz:
https://doaj.org/article/87f9b61499244cee83451de1cf847e8e
Publikováno v:
IEEE Access, Vol 7, Pp 75153-75165 (2019)
Fault detection for closed-loop control systems is the future development in the field of the fault diagnosis. Since a closed-loop control system is generally very robust to the external disturbances, fault detection has been challenging a hot resear
Externí odkaz:
https://doaj.org/article/446144936f184e8090dc10b2b699531c
Publikováno v:
IEEE Access, Vol 7, Pp 171461-171470 (2019)
This paper addresses the challenge of 3D object detection from a single panoramic image under severe deformation. The advent of the two-stage approach has impelled significant progress in 3D object detection. However, most available methods only can
Externí odkaz:
https://doaj.org/article/57fedb357bed4d25a9591c456d75669c
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3058 (2022)
Prediction of building energy consumption using mathematical modeling is crucial for improving the efficiency of building energy utilization, assisting in building energy consumption planning and scheduling, and further achieving the goal of energy c
Externí odkaz:
https://doaj.org/article/09aa615fc2034a6cb00b7ff2d26bd2bc
Autor:
Mohammad Mehdi Motahari Kia, Jafar A. Alzubi, Mehdi Gheisari, Xiaobo Zhang, Mohamadtaghi Rahimi, Yongrui Qin
Publikováno v:
IEEE Access, Vol 6, Pp 77265-77271 (2018)
This paper presents a system that can recognize handwritten words expressed using broken letters of the Persian alphabet. The proposed system can be used for most activities related to the gathering of public information. Statistical features of the
Externí odkaz:
https://doaj.org/article/600f84eb57c94bc6858589904a21695b
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 6, Iss 1, Pp 1-22 (2017)
Abstract Fog computing is a new paradigm that extends the Cloud platform model by providing computing resources on the edges of a network. It can be described as a cloud-like platform having similar data, computation, storage and application services
Externí odkaz:
https://doaj.org/article/4ef85dab4a664ecc94c16f05160ca80e
Publikováno v:
Computing. 103:2093-2113
Mobile Agent (MA) technology brings many benefits into Wireless Sensor Networks (WSNs), such as saving network bandwidth and enabling energy efficient mechanisms for collecting sensor data. Nowadays, itinerary planning for MAs is one of the most impo
Publikováno v:
IEEE Transactions on Big Data. 7:327-340
Ridesharing is a challenging topic in the urban computing paradigm, which utilizes urban sensors to generate a wealth of benefits and thus is an important branch in ubiquitous computing. Traditionally, ridesharing is achieved by mainly considering th
Publikováno v:
Journal of the Franklin Institute. 357:13041-13084
Interacting multiple model (IMM) filter is a classical method to track targets in hybrid situations. However, it can exhibit divergence when the models are correlated or the system suffers from uncertainties. The generalized covariance intersection m