The Research of 3 D Point Cloud Registration Method Based On Regular Hexahedron Color Targets

Yu Guang,Shi Yunbo,Yu Boyang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.4

Coded structured light measurement is the important method of modern non-contact optical measurement, restricted by the camera field of view, the surfaces to be measured can complete a single perspective measurement, this is the 3 d point cloud registration, point cloud registration can reflect three-dimensional topography on the surface of the object, and it has reached the requirement of comprehensiveness.This paper has built coded structured light 3 d measurement system, to explore 3 d point cloud registration method based on regular hexahedron color targets with high accuracy, fast registration, which can be applied to industrial components comprehensive measuring characteristics.

A Kind of Encryption Method of QR Code based on ECA State Ring

Yu Guang,Shi Yunbo,Che Chang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.9

In view of the simple keys, time-consuming in encryption and decryption process and the loss of original function characteristics in encrypted image QR two-dimensional code, we adobe a kind of encryption method of QR code based on ECA state ring. In this method, the simple structure, highly parallel of elementary cellular automaton is being used. Operating each pixel point on the quick response code except which can express QR code function information. The simulation results show that the method is faster than two kinds of typical QR code encryption method, and the encrypted image can preserve the original QR code function information, while the safety coefficient is very similar.

Improving Delineation of the Corticospinal Tract in the Monkey Brain Scanned With Conventional Diffusion Tensor Imaging by Using a Compressed Sensing Based Algorithm

Yuguang Meng,Chun-Xia Li,Xiaodong Zhang 대한자기공명의과학회 2022 Investigative Magnetic Resonance Imaging Vol.26 No.4

Purpose: The corticospinal tract (CST) is a major tract for motor function. It can be impaired by stroke. Its degeneration is associated with stroke outcome. Diffusion tensor imaging (DTI) tractography plays an important role in assessing fiber bundle integrity. However, it is limited in detecting crossing fibers in the brain. The crossing fiber angular resolution of intra-voxel structure (CFARI) algorithm shows potential to resolve complex fibers in the brain. The objective of the present study was to improve delineation of CST pathways in monkey brains scanned by conventional DTI. Materials and Methods: Healthy rhesus monkeys were scanned by diffusion MRI with 128 diffusion encoding directions to evaluate the CFARI algorithm. Four monkeys with ischemic occlusion were also scanned with DTI (b = 1000 s/mm2, 30 diffusion directions) at 6, 48, and 96 hours poststroke. CST fibers were reconstructed with DTI and CFARIbased tractography and evaluated. A two-way repeated multivariate analysis of covariance was used to determine significances of changes in DTI indices, tract number, and volumes of the CST between hemispheres or poststroke time points. Results: CFARI algorithm revealed substantially more fibers originated from the ventral premotor cortex in healthy and stroke monkey brains than conventional DTI tractography. In addition, CFARI improved sensitivity in detecting CST abnormality compared to DTI tractography following stroke. Conclusion: CFARI significantly improved delineation of the CST in the brain scanned by DTI with 30 gradient directions. It showed better sensitivity in detecting abnormity of the CST following stroke. Preliminary results suggest that CFARI could facilitate prediction of function outcomes after stroke.

Occurrence and sources of microplastics in drinking water treatment plants

Yuguang WANG,Yan Laam CHENG,Muhammad Tariq KHAN,Yiu Fai TSANG 대한환경공학회 2019 대한환경공학회 학술발표논문집 Vol.2019 No.-

A hybrid deep neural network compression approach enabling edge intelligence for data anomaly detection in smart structural health monitoring systems

Yuguang Fu,Tarutal Ghosh Mondal,Jau-Yu Chou,Jian-Xiao Mao 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.32 No.3

This study explores an alternative to the existing centralized process for data anomaly detection in modern Internet of Things (IoT)-based structural health monitoring (SHM) systems. An edge intelligence framework is proposed for the early detection and classification of various data anomalies facilitating quality enhancement of acquired data before transmitting to a central system. State-of-the-art deep neural network pruning techniques are investigated and compared aiming to significantly reduce the network size so that it can run efficiently on resource-constrained edge devices such as wireless smart sensors. Further, depthwise separable convolution (DSC) is invoked, the integration of which with advanced structural pruning methods exhibited superior compression capability. Last but not least, quantization-aware training (QAT) is adopted for faster processing and lower memory and power consumption. The proposed edge intelligence framework will eventually lead to reduced network overload and latency. This will enable intelligent self-adaptation strategies to be employed to timely deal with a faulty sensor, minimizing the wasteful use of power, memory, and other resources in wireless smart sensors, increasing efficiency, and reducing maintenance costs for modern smart SHM systems. This study presents a theoretical foundation for the proposed framework, the validation of which through actual field trials is a scope for future work.

xShake: Intelligent wireless system for cost-effective real-time seismic monitoring of civil infrastructure

Yuguang Fu,Tu Hoang,Kirill Mechitov,Jong R. Kim,Dichuan Zhang,Billie F. Spencer Jr 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.4

Seismic structural health monitoring (SHM) of structures is critical not only to detect earthquakes to send early warning, but also to enable rapid structural condition assessment to ensure safety. Traditional monitoring systems using wired sensors are expensive. Wireless sensors offer tremendous opportunity to reduce costs, which remains elusive for seismic structural monitoring due to two main obstacles. First, there are constraints on power resources. Most wireless sensors are dutycycled to preserve limited battery power; and hence, can miss an earthquake in power-saving sleep mode. Second, there is a lack of support for rapid post-event data collection and processing. Conventional data transmission after sensing can introduce significant delays, and real-time data acquisition that eliminates these delays has limited throughput. In this paper, an intelligent wireless monitoring system, <i>xShake</i>, is developed for cost-effective real-time seismic SHM. It consists of: 1) energy-efficient wireless sensor prototypes utilizing on-demand sensing technique, 2) live-streaming framework that supports high-throughput real-time data acquisition, and 3) a rapid condition assessment application, enabling real-time data visualization and processing for end users. The performance of the <i>xShake</i> is validated through lab tests, demonstrating that it can capture high-fidelity synchronized data under earthquakes and enable real-time structural condition assessment.

ON FIXED POINT OF UNIFORMLY PSEUDO-CONTRACTIVE OPERATOR AND SOLUTION OF EQUATION WITH UNIFORMLY ACCRETIVE OPERATOR

Xu, Yuguang,Liu, Zeqing,Kang, Shin-Min The Youngnam Mathematical Society Korea 2008 East Asian mathematical journal Vol.24 No.3

The purpose of this paper is to study the existence and uniqueness of the fixed point of uniformly pseudo-contractive operator and the solution of equation with uniformly accretive operator, and to approximate the fixed point and the solution by the Mann iterative sequence in an arbitrary Banach space or an uniformly smooth Banach space respectively. The results presented in this paper show that if X is a real Banach space and A : X $\rightarrow$ X is an uniformly accretive operator and (I-A)X is bounded then A is a mapping onto X when A is continuous or $X^*$ is uniformly convex and A is demicontinuous. Consequently, the corresponding results which depend on the assumptions that the fixed point of operator and solution of the equation are in existence are improved.

On fixed point of uniformly pseudo-contractive operator and solution of equation with uniformly accretive operator

강신민,Yuguang Xu,Zeqing Liu 영남수학회 2008 East Asian mathematical journal Vol.24 No.3

The purpose of this paper is to study the existence and uniqueness of the fixed point of uniformly pseudo-contractive operator and the solution of equation with uniformly accretive operator, and to approximate the xed point and the solution by the Mann iterative sequence in an arbitrary Banach space or an uniformly smooth Banach space respectively. The results presented in this paper show that if X is a real Banach space and A : X -> X is an uniformly accretive operator and (I-A)X is bounded then A is a mapping onto X when A is continuous or X* is uniformly convex and A is demicontinuous. Consequently, the corresponding results which depend on the assumptions that the fixed point of operator and solution of the equation are in existence are improved.

A simulated experimental system and risk prediction method for ignition caused by overhead lines short-circuit

Donghui Li,Yuguang Zhong,Xue Zhou,Guofu Zhai 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.12

In windy weather, overhead lines swing and collide with each other, often resulting in short-circuits and arc faults. The line is partially molten and produces numerous hot metal particles, which fall and may ignite the fuels on the ground. This paper developed an experimental system to obtain hot particle dimensions at different short-circuit current levels. Based on the results of this experiment, an ignition prediction method was developed. The particle parameters from the experiments were used as a bridge that to complete the prediction from short-circuit current to ignition risk. A neural network was trained according to the experimental and calculated results, then used to predict the risk of ignition. The overhead lines in a forest were used as an example application to perform thte investigation. The results show that copper lines in a forest with needles on the ground create a high risk of ignition hazard.

Effects of turbulent wind and irregular waves on the dynamic characteristics of a floating offshore wind turbine platform

Yinong Tian,Yuguang Zhong,Hengxu Liu,Fankai Kong,Hailong Chen,Zhijun Ma 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.6

Studying the dynamic characteristics of the platform under unsteady loads is of great significance to the development of floating offshore wind turbines (FOWTs). In this work, a 15 MW semi-submersible FOWT is extensively simulated using OPENFAST software, and the influence of turbulent wind and irregular waves on the platform‘s motion is analyzed in detail. Results show that the surge motion of the platform of a complete FOWT system is mainly affected by wind speed, and the influence of turbulence intensity (TI) is slightly greater than the wave height. The heave motion is most significantly affected by the wave height. When the wave height is large, the influence of wind speed on the platform gradually decreases, and the effect of TI becomes more evident. The pitch and yaw motions are greatly affected by the wind speed and TI. The research results can serve as a reference for the platform design of large FOWTs in the future.