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International Conference on Optical Communications and Networks (ICOCN)

作者： Yuxin Zhao Jiuxing Jiang Yuqiang Yang Yongguang Wang Jianda Lu Liu Jiacheng The School of Science Harbin University of Science and Technology Harbin Heilongjiang China The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin Heilongjiang China

A high-sensitivity all-fiber Fabry-Perot interferometer (FPI) gas refractive index (RI) sensor based on lateral offset splicing and Vernier Effect is proposed. The sensing head consist of a reference FPI and a sensing FPI. A reference FPI and the sensing FPI is connected by two circulators. The sensing FPI is an open cavity made by lateral offset splicing of single mode fibers (SMFs), and the reference FPI is spliced by SMF and fiber tube. The Cascaded double-cavity produces a Vernier Effect and improves the sensitivity of gas RI. Experimental results show that the sensor has a high gas RI sensitivity of 16335.96 nm/RIU. The sensor has broad application prospects in gas composition detection, environmental monitoring, biosensors and other fields.

关键词： Sensitivity Splicing Reflection Fabry-Perot interferometers Optical fiber sensors Circulators

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Visual saliency detection for RGB-D images under a Bayesian framework

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IPSJ Transactions on Computer Vision and Applications 2018年第1期10卷 1页

作者： Wang, Songtao Zhou, Zhen Jin, Wei Qu, Hanbing The Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China Res. Center for Artif. Intell. and Big Data Anal. Beijing Academy of Science and Technology Beijing100094 China

In this paper, we propose a saliency detection model for RGB-D images based on the deep features of RGB images and depth images within a Bayesian framework. By analysing 3D saliency in the case of RGB images and depth images, the class-conditional mutual information is computed for measuring the dependence of deep features extracted using a convolutional neural network;then, the posterior probability of the RGB-D saliency is formulated by applying Bayes’ theorem. By assuming that deep features are Gaussian distributions, a discriminative mixed-membership naive Bayes (DMNB) model is used to calculate the final saliency map. The Gaussian distribution parameters can be estimated in the DMNB model by using a variational inference-based expectation maximization algorithm. The experimental results on RGB-D images from the NLPR dataset and NJU-DS400 dataset show that the proposed model performs better than other existing models. © 2018, The Author(s).

关键词： Gaussian distribution

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In-situ detecting cooperative-target's speed and rotation inertia using structured light

arXiv

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arXiv 2019年

作者： Hu, Xiao-Bo Bo-Zhao Zhu, Zhi-Han Gao, Wei Rosales-Guzmán, Carmelo Higher Educational Key Laboratory for Measuring & Control Technology Instrumentations of Heilongjiang Province Harbin University of Science & Technology Harbin150080 China Wang Da-Heng Collaborative Innovation Center Heilongjiang Provincial Key Laboratory of Quantum Manipulation & Control Harbin University of Science and Technology Harbin150080 China

Laser remote sensing represents a powerful tool that enables the accurate measurement of the speed of moving targets. Crucially, most sensing techniques are 2- Dimensional and only enable direct determination of the speed along the line of sight. A disadvantage that is very often overcome using two-dimensional techniques that in many cases are hard to implement and expensive. Here we put forward a novel 3-Dimensional technique that enables the direct and simultaneous measurement of both, the speed and the spin rate of cooperative targets. This technique is based on the use of complex vector light beams, whose polarization and spatial degree of freedom are coupled in a non-separable way. We present experimental evidence of our technique by performing a laboratory proof-ofprinciple experiment. Copyright © 2019, The Authors. All rights reserved.

关键词： Degrees of freedom (mechanics)

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Passively Q-Switched Tm: YAP Laser with a WSe2 Saturable Absorber

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IOP Conference Series: Materials Science and Engineering 2020年第2期782卷

作者： Guoxing Li Xining Yang Linjun Li Hongda Zhang Ziqiu Zhang Liang Zhang State Grid Heilongjiang Electric Power Company Limited Electric power Research Institute Harbin 150001 China The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang province Harbin University of Science and Technology Harbin 150080 China

In this paper, WSe2 nanosheets were prepared and demonstrated to have non-linear absorption characteristics that were saturated at about 2 μm. A passively Q-swithched (PQS) Tm:YAP laser was perfectly implemented with the Wse2 nanosheets as a saturable absorber (SA). In PQS mode, an average output power of 1.01 W with a pulse duration of 1.7 μs at 166.7 kHz was achieved with a pump power of 12.1 W, corresponding to an optical-optical conversion efficiency of 8.3%. A peak power of 3.88 W was acquired from a PQS Tm: YAP laser.

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Active/passive Q-switching operation of 2 μm Tm,Ho:YAP laser with an acousto-optical Q-switch/MoS_2 saturable absorber mirror

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Photonics Research 2018年第6期6卷 614-619页

作者： LINJUN LI XINING YANG LONG ZHOU WENQIANG XIE YUNLONG WANG YINGJIE SHEN YUQIANG YANG WENLONG YANG WEI WANG ZHIWEI LV XIAOMING DUAN MINGHUA CHEN Heilongjiang Provincial Key Laboratory of Optoelectronics and Laser Technology Heilongjiang Institute of Technology School of Electronic and Information Engineering Hebei University of Technology The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology School of Opto-Electronic Information Science and Technology Yantai University College of Sciences Harbin University of Science and Technology National Key Laboratory of Tunable Laser Technology Harbin Institute of Technology Key Laboratory of Engineering Dielectric and Applications Ministry of EducationHarbin University of Science and Technology

The active/passive Q-switching operation of a 2 [tm a-cut Tm,Ho：YAP laser was experimentally demonstrated with an acousto-optical Q-switch/MoS2 saturable absorber mirror. The active Q-switch laser was operated for the first time, to the best of our knowledge, with an average output power of 12.3 W and a maximum pulse energy of 10.3 mJ. The passive Q-switch laser was also the first acquired with an average output power of 3.3 W and per pulse energy of 23.31 μJ, and the beam quality factors of Mx^2 = 1.06 and My^2 = 1.06 were measured at the average output power of 2 W.

关键词： Lasers Q-switched Lasers solid-state

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Recent advances on horizontal lower limb rehabilitation robot

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Recent Patents on Mechanical Engineering 2017年第2期10卷 88-101页

作者： Jiang, Jingang Ma, Xuefeng Huo, Biao Yu, Xiaoyang Guo, Xiaowei Han, Yingshuai Robotics & ITS Engineering Research Center Harbin University of Science and Technology Harbin150080 China Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China

Background: As a kind of bionic robot, horizontal lower limb rehabilitation robot integrates the medical technology and robot technology. It can simulate the movements of human lower limbs. It can be mainly used for rehabilitation training of patients with lower limb dysfunction. Objective: To provide a general summarization of recent horizontal lower limb rehabilitation robot and introduce their respective characteristics and development. Method: This paper summarizes various representative patents related to horizontal lower limb rehabilitation robot. The structural characteristics, applications of the typical horizontal lower limb rehabilitation robots are represented. Results: The differences of all kinds of horizontal lower limb rehabilitation robots are compared and analyzed, and the structural characteristics are concluded. The main problems in its development are analyzed, the development trend is foreseen, and the current and future research of the patents on horizontal lower limb rehabilitation robot is discussed. Conclusion: Horizontal lower limb rehabilitation robot has important practical significance for promoting social harmony, and plays an important role in improving the ability of independent survival of patient. Further improvements are needed in the aspects of reliability, comfortable capability, interesting, intelligence and security of the horizontal lower limb rehabilitation robot. More patents on horizontal lower limb rehabilitation robot should be invented. © 2017 Bentham Science Publishers.

关键词： Exoskeleton (Robotics)

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Recent advances on lower limb exoskeleton rehabilitation robot

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Recent Patents on Engineering 2017年第3期11卷 194-207页

作者： Jiang, Jin-Gang Ma, Xue-Feng Huo, Biao Zhang, Yong-De Yu, Xiao-Yang Robotics & its Engineering Research Center Harbin University of Science and Technology Harbin150080 China Higher Educational Key Laboratory for Measuring Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China

Background: Lower limb exoskeleton rehabilitation robot is a bionic robot, which is the product of the combination of medical technology and robot technology, simulating human walking movement. It can be mainly used for rehabilitation training of patients with lower limb dysfunction. Objective: To provide an overview of recent lower limb exoskeleton rehabilitation robot and introduce their respective characteristics and development. Method: A recent lower limb exoskeleton rehabilitation robot is divided into passive drive, pneumatic drive, hydraulic drive and motor drive. This paper reviews various representative patents related to lower limb exoskeleton rehabilitation robot. The structural characteristics and applications of the typical lower limb exoskeleton rehabilitation robots are introduced. Results: The differences between different types of lower limb exoskeleton rehabilitation robots are compared and analyzed, and the structural characteristics are concluded. The main problems in its development are analyzed, the development trend is foreseen, and the current and future research of the patents on lower limb exoskeleton rehabilitation robot is discussed. Conclusion: There are a lot of patents and articles about the exoskeleton rehabilitation robots, however, if these problems can be solved, such as small size, light weight and high power output are solved at the same time, the consistency with human body will be advanced, with the combination of traditional rehabilitation medicine. It will be possible to maximize the rehabilitation of the lower limbs. © 2017 Bentham Science Publishers.

关键词： Exoskeleton (Robotics)

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Application of passive self-ligating brackets in orthodontic treatment

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Recent Patents on Engineering 2017年第2期11卷 95-104页

作者： Jiang, Jin-Gang Guo, Xiao-Wei Han, Ying-Shuai Zhang, Yong-De Yu, Xiao-Yang Robotics and its Engineering Research Center Harbin University of Science and Technology Harbin150080 China Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China

Background: Malocclusion is a common oral disease. Wearing the lingual or labial straight archwire appliance is an effective treatment method. For the traditional appliance, the bracket is a non self-ligating structure. Orthodontic archwire is fixed by the ligature, so the ligation and removal operation is time-consuming. And the end of the ligation wire may be easy to scratch the oral cavity and the aggregation bacteria. With the continuous development of orthodontic technique, the self-ligating bracket is the development direction for future clinical orthodontic treatment, and has become an advanced research hotspot. Objective: To provide an overview of recent passive self-ligating brackets, and introduce their respective characteristics and development. Method: The recent typical brackets are divided into passive self-ligating bracket, active self-ligating bracket and interactive self-ligating bracket. This paper reviews various representative patents related to passive self-ligating bracket. The structural characteristics and applications of the typical passive selfligating bracket are introduced. Results: The differences of different types of passive self-ligating bracket are compared and analyzed, and the structural characteristics are concluded. The main problems in its development are analyzed, the development trend is foreseen, and the current and future research of the patents on passive self-ligating bracket is discussed. The passive self-ligating bracket, because of its small friction, gentle orthodontic force, discomfort reduction, chair time reduction and excellent oral hygiene maintenance, is recognized and applied by more and more orthodontic doctors. Conclusion: The passive self-ligating bracket has important practical significance. And further improvements are needed in the aspects of structure, cost, use and reliability, bracket base failure of the passive self-ligating bracket, and detachment of locking system from bracket’s main structure. More

关键词： Locks (fasteners)

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Event-triggered Resilient Filtering for Time-varying Systems with Randomly Occurring Nonlinearity and Missing Measurements

Event-triggered Resilient Filtering for Time-varying Systems...

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第30届中国控制与决策会议

作者： Ming Gao Jun Hu Hongxu Zhang Department of Mathematics Harbin University of Science and Technology School of Engineering University of South Wales School of Measurement and Communication Harbin University of Science and Technology The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology

This paper studies the event-triggered resilient filtering problem for a class of nonlinear systems with randomly occurring nonlinearity and missing measurements. Both the phenomena of the randomly occurring nonlinearity and the missing measurements are described by Bernoulli distributed random variables, where the occurrence probabilities could be uncertain. The event-triggered communication mechanism is introduced to save the network bandwidth during the data transmissions through the network. Additionally, the filter gain perturbations are characterized by employing the norm bounded uncertainties. The aim of the paper is to develop a robust event-triggered resilient filtering algorithm against the randomly occurring nonlinearity and missing measurements. Note that the analytical expressions of the filtering error covariance cannot be computed directly. Consequently, we derive its upper bound as an alternative way and subsequently minimize such an upper bound by properly designing the filter gain at each time step. Finally, an illustrative example is presented to show the effectiveness of the provided filtering algorithm.

关键词： Time-varying systems event-triggered mechanism randomly occurring nonlinearity missing measurements uncertain occurrence probabilities

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Bayesian Saliency Detection for RGB-D Images

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自动化学报 2017年第10期43卷 1810-1828页

作者： Songtao Wang Zhen Zhou Hanbing Qu Bin Li Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin 150080 China Key Laboratory of Pattern Recognition Beijing Academy of Science and Technology Beijing 100094 China

In this paper, we propose a saliency detection model for RGB-D images based on the contrasting features of color and depth within a Bayesian framework. The depth feature map is extracted based on superpixel contrast computation with spatial priors. We model the depth saliency map by approximating the density of depth-based contrast features using a Gaussian distribution. Similar to the depth saliency computation, the color saliency map is computed using a Gaussian distribution based on multi-scale contrasts in superpixels by exploiting low-level cues. By assuming that color- and depth-based contrast features are conditionally independent, given the classes, a discriminative mixed-membership naive Bayes （DMNB） model is used to calculate the final saliency map from the depth saliency and color saliency probabilities by applying Bayes＇ theorem. The Caussian distribution parameter can be estimated in the DMNB model by using a variational inference-based expectation maximization algorithm. The experimental results on a recent eye tracking database show that the proposed model performs better than other existing models.

关键词：贝叶斯定理检测模型显著性图像期望最大化算法分布计算特征映射高斯分布

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