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Centroiding 1

Dense scale-invariant feature transform (dense SIFT) 1

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Histogram of oriented gradient (HOG) 1

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Precision limit optimization 1

Saliency 1

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building information modelling 1

curriculum development 1

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The Effect of “Star-Bombs” Undertaking on the Social Development of China

Miao Dongsheng

Strategic Study of CAE 2004, Volume 6, Issue 7, Pages 14-20

Abstract:

This paper holds that “Star-Bombs” undertaking has influenced the social development of

Keywords： “Star-Bombs” undertaking space science and technology exploiting outer space game in common wins

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An improved delta-star switching scheme for reactive power saving in three-phase induction motors

P. RAJA,N. KUMARESAN,M. SUBBIAH

Frontiers in Energy 2014, Volume 8, Issue 3, Pages 364-370 doi: 10.1007/s11708-014-0324-8

Abstract: permanently across each phase winding of a three-phase induction motor along with the conventional delta-starvalue for the capacitor and the criteria to be adopted for calculating the power output at which the starCompared to using only a single delta connected stator winding or a delta-star switching, the advantages

Keywords： delta-star switching induction motor power factor steady-state analysis

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Toward deep impacts of BIM on education

Žiga TURK, Andreja ISTENIČ STARČIČ

Frontiers of Engineering Management 2020, Volume 7, Issue 1, Pages 81-88 doi: 10.1007/s42524-019-0035-2

Abstract: Building information models (BIM) provide a way to represent buildings and communicate about them. In teaching engineering, we also need representations of buildings and are communicating knowledge about them. While teaching engineering we refer to the very same real-world objects that have an explicit conceptualization in BIM. This explicit conceptualization did not exist in the age when design communication relied on drawings and documents. The question that this paper asks is this: due to BIM, communication in the industry has changed. Should communication of engineering knowledge – teaching – change as well and how? While much has been written about teaching BIM and incorporating BIM into the curricula, this paper is exploring the general impact of BIM on engineering education. It grounds earlier work (Turk, 2018) on insights from pedagogy. Five scenarios of the interplay between BIM-influenced engineering communication and teaching are presented. The paper argues that ignoring BIM may create a cognitive dissonance between academic learning and industrial work. We are finding that the impact of BIM is twofold: vertically there is a need to establish a reference between knowledge concepts (in teaching building) and information objects (in building information models). Horizontally BIM is an integration technology that allows for a more holistic design and planning. Both the language of individual courses as well as cross references and synergies among courses should change. A “T” style structure of the courses around BIM is proposed as a basis for integrated curriculum. Pedagogical approaches based on deep learning, model based learning and project based learning are suggested.

Keywords： engineering education building information modelling engineering communication curriculum development

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An artificial intelligence enhanced star identification algorithm

Hao Wang, Zhi-yuan Wang, Ben-dong Wang, Zhuo-qun Yu, Zhong-he Jin, John L. Crassidis,roger@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11, Pages 1535-1670 doi: 10.1631/FITEE.1900590

Abstract: A model based on Vgg16 is used in the artificial intelligence algorithm to classify star images.

Keywords：星敏感器；姿态失锁；星图识别；卷积神经网络

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Detection of engineering vehicles in high-resolution monitoring images

Xun Liu, Yin Zhang, San-yuan Zhang, Ying Wang, Zhong-yan Liang, Xiu-zi Ye,star.liuxun@gmail.com,yinzh

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5, Pages 346-357 doi: 10.1631/FITEE.1500026

Abstract: This paper presents a novel formulation for detecting objects with articulated rigid bodies from high-resolution monitoring images, particularly . There are many pixels in high-resolution monitoring images, and most of them represent the background. Our method first detects object patches from monitoring images using a coarse detection process. In this phase, we build a descriptor based on histograms of oriented gradient, which contain color frequency information. Then we use a linear support vector machine to rapidly detect many image patches that may contain object parts, with a low false negative rate and a high false positive rate. In the second phase, we apply a refinement classification to determine the patches that actually contain objects. In this stage, we increase the size of the image patches so that they include the complete object using models of the object parts. Then an accelerated and improved salient mask is used to improve the performance of the dense scale-invariant feature transform descriptor. The detection process returns the absolute position of positive objects in the original images. We have applied our methods to three datasets to demonstrate their effectiveness.

Keywords： Object detection Histogram of oriented gradient (HOG) Dense scale-invariant feature transform (dense SIFT) Saliency Part models Engineering vehicles

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Analyzing the Effect of the Intra-Pixel Position of Small PSFs for Optimizing the PL of Optical Subpixel Localization Article

Haiyang Zhan, Fei Xing, Jingyu Bao, Ting Sun, Zhenzhen Chen, Zheng You, Li Yuan

Engineering 2023, Volume 27, Issue 8, Pages 140-149 doi: 10.1016/j.eng.2023.03.009

Abstract:

Subpixel localization techniques for estimating the positions of point-like images captured by pixelated image sensors have been widely used in diverse optical measurement fields. With unavoidable imaging noise, there is a precision limit when estimating the target positions on image sensors, which depends on the detected photon count, noise, point spread function (PSF) radius, and PSF’s intra-pixel position. Previous studies have clearly reported the effects of the first three parameters on the precision limit but have neglected the intra-pixel position information. Here, we develop a localization precision limit analysis framework for revealing the effect of the intra-pixel position of small PSFs. To accurately estimate the precision limit in practical applications, we provide effective PSF (ePSF) modeling approaches and apply the Cramér-Rao lower bound. Based on the characteristics of small PSFs, we first derive simplified equations for finding the best precision limit and the best intra-pixel region for an arbitrary small PSF; we then verify these equations on real PSFs. Next, we use the typical Gaussian PSF to perform a further analysis and find that the final optimum of the precision limit is achieved at the pixel boundaries when the Gaussian radius is as small as possible, indicating that the optimum is ultimately limited by light diffraction. Finally, we apply the maximum likelihood method. Its combination with ePSF modeling allows us to successfully reach the precision limit in experiments, making the above theoretical analysis effective. This work provides a new perspective on combining image sensor position control with PSF engineering to make full use of information theory, thereby paving the way for thoroughly understanding and achieving the final optimum of the precision limit in optical localization.

Keywords： measurement Subpixel localization Precision limit optimization Small point spread functions Centroiding Star

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A Multi-wavelength Star Optical Network Reusing All Channel Wavelengths Three Times and Its Features

Gan Chaoqin

Strategic Study of CAE 2002, Volume 4, Issue 10, Pages 84-89

Abstract:

In this paper, a novel multi-wavelength star optical network reusing all channel wavelengths threeIn this scheme, by interconnecting four conventional star couplers and reusing all channel wavelengthsthe maximum throughput of the network are all up to four times as many as that of conventional WDM starAll these advantages of the network efficiently overcome the disadvantages of conventional WDM star network

Keywords： wavelength division multiplexing wavelength reuse tunable wavelength router for multiwavelength selection distributed architecture return link wavelength group