检索结果-内蒙古大学图书馆

8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Zhou, Zhen Ci, Yunsong Yang, Shiyu Zhang, Siqi Zhang, Haoze Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations Harbin University of Science and Technology Harbin150080 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Escherichia coli (E. coli) is a common source of contamination in dairy products and other beverages. In this paper, Ultraviolet-visible (UV-Vis) spectroscopy is applied to measurement of E. coli biomass concentration in milk due to its fast and non-contact advantages. Standard Normal Variable (SNV) combined with Multivariate Scattering Correction method (MSC) was used to processes the obtained Ultraviolet-visible spectrum to improve the feature intensity and reduce noise. Two-dimensional correlation analysis is used to capture the absorption characteristics of E. coli after red shift. The characteristic band of E. coli extracted from the two-dimensional correlation analysis was used as the initial data, combined with the Extreme Learning Machine network to establish a prediction model, and compared with the result of the plate counting method. It proves that the method in this paper is reasonable and effective. The results show that the accurate prediction model is coefficient of determination (R2) = 0.92741, mean squared error (mse) = 0.051274. Compared with the traditional method, the time in the analysis process is greatly shortened, from 10 min to 1 min, which means that the new method is more in line with the requirements of online measurement of dairy companies. © 2022 SPIE

关键词： Escherichia coli

来源：评论

学校读者我要写书评

暂无评论

Capsule Endoscopy Image Deblurring Method Based on Multi-scale Recurrent Network 3

Capsule Endoscopy Image Deblurring Method Based on Multi-sca...

引用

2023 3rd International Conference on Computer, Remote Sensing and Aerospace, CRSA 2023

作者： Yang, Shiyu Guo, Tai Zhan, Ruoya Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations Harbin University of Science and Technology Heilongjiang Harbin150080 China School of Information Science and Engineering Guilin University and Technology Guangxi Guilin541004 China

During the process of acquiring capsule endoscope images, image motion blur may result from errors made by the operating physician. A multi-scale recurrent attention network is proposed to address the issue of motion blur in collected images. Considering the issue of over-exposure during image acquisition in capsule endoscopy, which can adversely affect network generation results, an image preprocessing module has been incorporated into the network to eliminate highlights caused by over-exposure in input images. To enhance network sampling efficiency, the encoder is equipped with a Convolutional Block Attention Module (CBAM) to extract fuzzy features more effectively. Additionally, depthwise separable convolution is employed to reduce parameter count. Since the structure of images obtained through capsule endoscopy is relatively simple and stable, we have opted for the mean square error as our loss function due to its heightened sensitivity to data errors. The experimental results demonstrate that the proposed network achieves a Peak Signal-to-Noise Ratio (PSNR) of 31.096 and a Structural Similarity Index Measure (SSIM) of 0.925, indicating a significant improvement over DeblurGAN-v2 and Pix2pix. © Published under licence by IOP Publishing Ltd.

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

A retinopathy detection method based on improved YOLO 4

A retinopathy detection method based on improved YOLO

引用

4th International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2024

作者： Guo, Tai Yang, Shiyu Zhan, Ruoya School of Information Science and Engineering Guilin University and Technology Guilin541004 China Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations Harbin University of Science and Technology Harbin150080 China Zhongshan Institute of Changchun University of Science and Technology Zhongshan528400 China

ISBN: (数字)9781510682818

ISBN: (纸本)9781510682801

To improve the efficiency of diagnosing retinal diseases, deep learning-based object detection methods are employed for auxiliary diagnosis. Given the excellent performance of the You Only Look Once (YOLO) series models in the field of object detection, this paper proposes an improved YOLO model based on the YOLOv8n for detecting fundus images. Firstly, to enhance the model's ability to detect small objects, the Concat in the neck network of YOLOv8n is replaced with BiFPN. Additionally, considering that lesions in fundus images often have irregular and blurred boundaries, the original CIoU loss function in YOLOv8n is replaced with the Inner-IoU loss function to improve the model's recognition accuracy. Experimental results show that the Mean Average Precision at IoU=0.5 (mAP@0.5) of the improved YOLO model reaches 0.963, which is an improvement of 2.2% and 13.8% compared to the baseline model YOLOv8n and the classic object detection model Faster-RCNN, respectively. © 2024 SPIE.

关键词： Ophthalmology

来源：评论

学校读者我要写书评

暂无评论

Joint power allocation and relay selection algorithm for multiple-antenna terminals in cooperative MIMO systems

引用

International Journal of Performability Engineering 2019年第6期15卷 1570-1579页

作者： Han, Yuhui Sun, Jiyu Higher Educational Key Laboratory for Measuring and Control Technology Instrumentations of Heilongjiang Harbin150080 China School of Measurement and Control Technology and Communications Engineering Harbin University of Science and Technology Harbin150080 China

The relay selection and power allocation of cooperative MIMO with multiple-antenna terminals are investigated. Based on the classic worst-link-first algorithm, we propose a joint power allocation and relay selection algorithm, which takes maximizing the system energy gain as the optimization purpose. We consider quasi-static, flat fading channels, select relays, and allocate power according to the instantaneous channel state information. Theoretical analysis and computer simulations show that the proposed algorithm can achieve higher average network energy gain than the traditional worst-link-first algorithm, and its computational complexity is much lower. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： MIMO systems

来源：评论

学校读者我要写书评

暂无评论

Passively Q-switched diode-pumped Tm,Ho:LuVO4 laser with a black phosphorus saturable absorber

引用

Chinese Physics B 2019年第9期28卷 203-205页

作者： Linjun Li Tianxin Li Long Zhou Jianying Fan Yuqiang Yang Wenqiang Xie Shasha Li The Higher Educational Key Laboratory for Measuring&Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and TechnologyHarbin 150080China Heilongjiang Province Key Laboratory of Optoelectronics and Laser Technology&Heilongjiang Province Engineering Technology Research Center of Solid-state Laser Technology and Application Heilongjiang Institute of TechnologyHarbin 150050China

We presented a passively Q-switched(PQS) diode-pumped c-cut Tm, Ho:LuVO_4 laser with a black phosphorus saturable absorber for the first *** PQS mode, an average output power of 0.86 W and a peak power of 2.32 W were acquired from the Tm, Ho:LuVO4 laser with the pump power of 14.55 W, corresponding to a pulse width of 2.89 μs,a pulse repetition rate of 71.84 kHz, and a pulse energy of about 6.70 μJ.

关键词： passively Q-switched(PQS) technology Tm Ho:LuVO4 crystal pulse width

来源：评论

学校读者我要写书评

暂无评论

3D surface measurement of human abdomen by fourier fringe analysis and chinese remainder theorem

引用

International Journal of Performability Engineering 2020年第4期16卷 647-655页

作者： Wang, Yang Chen, Deyun Xie, Jinkai Zhu, Jiahao Zhang, Guangyue Postdoctoral Station of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations Harbin University of Science and Technology Harbin150080 China

Aiming at the breathing movement of the human abdominal surface during surgical treatment or radiation therapy, the three-dimensional (3D) dynamic measurement method was studied. This paper proposes a dynamic three-dimensional measurement method based on a 3D Fourier transform to obtain the wrapped phase and unwrap using the Chinese remainder theorem (CRT) to obtain the absolute phase. The three primary colors are used to compile the coding pattern, and the three-dimensional inverse Fourier transform is used to obtain the wrapped phase information. By increasing the time-dimensional filtering, the ringing effect is reduced, and the accuracy of the wrapped phase extraction is improved. When there is no interference, the root means square error does not exceed 0.006 rad, and the peak-to-valley error does not exceed 0.016 rad. Its fault tolerance ability is higher than the two-dimensional Fourier fringe analysis and three-dimensional Fourier fringe with other filters on the abdomen surface. A new method based on CRT is used to unwrap the wrapped phase. Under the limited conditions, the error of the absolute phase does not exceed the error of the wrapped phase. The simulation and actual measurement results show that the method in this paper can realize the 3D dynamic measurements of the human abdominal surface. © 2020 Totem Publisher, Inc. All rights reserved.

关键词： Fault tolerance

来源：评论

学校读者我要写书评

暂无评论

Heart sound acquisition with ECM sensor array and array data fusion algorithm

引用

International Journal of Performability Engineering 2020年第3期16卷 383-391页

作者： Wang, Tian Shi, Yunbo Hardt, Wolfram Feng, Qiaohua Kang, Lingui Higher Educational Key Laboratory for Measuring and Control Technology Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China Faculty of Computer Science Chemnitz University of Technology ChemnitzD-09111 Germany

In this paper, a sensor array using small ECM sensors is proposed to construct a lightweight heart sound pickup device, and a data processing unit combining FPGA and MCU is established to interface with the sensor array and perform multiple sensor data processing jobs. By studying this sensor array and data processing unit, a possible method of designing a small-size, low-cost heart sound recorder is presented. The prototype device combining the sensor array and data processing unit running with the array data fusion algorithm gives the following result: the background noise level of heart sounds processed by the data processing unit is 2 dB lower than that of any single sensor output in the sensor array. Also, a comparison between the heart sounds recorded by the prototype device and those recorded by a dedicated heart sound sensor is made, showing that the prototype device is capable of recording heart sounds with more details. The sensor array and data processing unit is suitable for achieving compact and lightweight heart sound acquisition. © 2020 Totem Publisher, Inc. All rights reserved.

关键词： Heart

来源：评论

学校读者我要写书评

暂无评论

Image recognition and classification based on elastic model and BOF algorithm

引用

International Journal of Performability Engineering 2019年第10期15卷 2794-2804页

作者： Liu, Mingzhu Bao, Xue Pang, Lu Higher Educational Key Laboratory for Measuring and Control Technology Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China

To solve the problems of mosaic effect and block distortion in the process of image enlargement or reduction, which decrease the accuracy of image recognition and classification, a new fusion algorithm is proposed in this paper. It is a method that integrates an elastic model with the BOF algorithm. Firstly, the distortion phenomenon of static images is studied in depth. Then, the basic principle of the classical BOF algorithm is studied. At the same time, the method and steps of generating feature descriptors using the BOF algorithm are deeply analyzed, and the clustering of feature elements is realized by using the spatial pyramid method. Aiming at the problem of low classification accuracy of scaled images with block distortion, an elastic model method is proposed. It introduces elasticity parameters to scaled image processing and combines the new features obtained by the BOF algorithm to further compensate the block distortion, so as to improve the image recognition accuracy. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

Contrast enhancement of illumination layer image using optimized subsection-based histogram equalization

引用

International Journal of Performability Engineering 2018年第11期14卷 2624-2632页

作者： Wang, Yongxin Diao, Ming Wu, Haibin School of Information and Communication Engineering Harbin Engineering University Harbin150080 China Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentation of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China

A key problem of underwater image sharpening is to improve image contrast while retaining image detail. The retinex model is used to obtain the illumination and detail layer images. The histogram of the illumination layer image is divided into under-exposure subsection and over-exposure subsection by using the maximum interclass variance method, and the histogram subsections are equalized separately. The above process of histogram dividing and equalization is repeated until the difference between adjacent thresholds for dividing histogram subsections reaches its optimal value. This enhances the contrast of the illumination layer image. As a result, our contrast enhancement method of illumination layer image using optimized histogram subsection based histogram equalization is formed. Furthermore, by multiplying the enhanced contrast of illumination layer image with the original detail layer image, the contrast of underwater image is enhanced and its original details are retained. Some evaluations, e.g. information entropy and mean structure similarity, are examined to show that the underwater image quality is improved appropriately. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

A novel color encoding fringe projection profilometry based on wavelet ridge technology and phase-crossing

引用

International Journal of Performability Engineering 2018年第5期14卷 917-926页

作者： Wang, Yang Sun, Yankee Zhang, Tianqi Chen, Deyun Yu, Xiaoyang Postdoctoral Station of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China Higher Educational Key Laboratory for Measuring and Control Technology Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China

There are two challenges in three-dimensional (3D) profilometry, such as real-time and accuracy. Color-encoding fringe projection profilometry (CEFPP) can solve these challenges to some extent. It encodes in the red, green, and blue color channels, and CEFP can use three completely different fringe patterns. In this paper, a novel CEFP that only uses one color fringe image acquired by experiential 3CCD cameras is presented. First, the wavelet transform coefficients phase at the ridge position under the Morlet wavelet is theoretically clarified. A simple and quick method that acquires the scaling coefficient is introduced. The wrapped phases in the three color channels of the color fringe image are obtained by wavelet bridge position. The phase original of color fringe pattern is defined as one white color. Using an evolution function defined in this paper, the phase-crossing is located. An absolute phase is acquired by a three coding pitch method in a two coding direction. In order to verify the presented method, some profilometry experiments are carried out in the constructed 3D profilometry system using one projector and one 3CCD camera. The experimental results showed that a maximum standard deviation of measurement error is 1.42mm, and the reconstruction surface of a gypsum head portrait can be determined. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：