A Hausdorff Distance Based Image Registration Algorithm

Liu Hui,Zhang Zhichun,Wei Dong 보안공학연구지원센터(IJSIP) 2015 International Journal of Signal Processing, Image Vol.8 No.1

Hausdorff distance is a common image registration method that is based on the edge features in the image. Theoretically, using Hausdorff distance method, the rotation, scaling and translation factors of the image can be obtained by searching the four-dimensional space that includes one rotation factor, one scaling factor and two translation factors. However, each additional factor means that the dimension degree of searching space is increased one more. The searching speed will be greatly reduced with the increasing of dimension degree. This paper presents a new image registration algorithm that combines the Hausdorff distance with the angle transform. Using this method, the translation factors can be obtained by Hausdorff distance and the angle transform can be directly computed. There is three step for finishing the image registration through the new method. Firstly, discrete Canny edge detection is used on the image. Secondly, the linear features of the image is directly used to calculate the rotation angle parameter. Then Hausdorff distance is used searching in two-dimensional space for getting the translation parameters of the image. Simulation results verified the correctness and validity of the paper method.

Research on R&D Investment of China s New Energy Vehicle Innovative Enterprises

Yu,Zhichun,Wan,Yanjiao,Choi,Youngjun 한국산업경영학회 2021 경영연구 Vol.36 No.4

연구목적: 본 논문은 BYD, Yutong Bus, Zhongtong Bus, Zotye Automobile, Great Wall Motor, King Long Motor, FAW Automobile, Foton Motor, SAIC Motor 등 중국 신에너지 자동차 상장사의 2012-2019년 데이터를기반으로 중국의 신에너지 자동차 R&D 투자 영향 요인을 분석했다. 연구방법: 본 논문에서는 중국 신에너지 자동차 기업의 연구개발에 영향을 미치는 요인을 단위근본검정, Westerlund 공동적분검정, Hausman 검정 및 2SLS 내생계측변수법을 사용하여 평가한다. 결과: 기업의 R&D 부서의 직원 수는 R&D 강도와 긍정적인 상관관계가 있다. R&D부서의 규모를 늘리고고급 기술자를 도입하면 R&D의 질을 높일 수 있다. 그 회사의 수익성은 연구 개발의 강도와 밀접한 관련이있다. 회사의 수익성을 개선하면 회사의 지속 가능한 운영을 보장하고, 다른 사업 활동을 보다 효과적으로수행할 수 있으며, 기술 연구 및 개발에 자금을 제공할 수 있다. 장기적인 R&D 투자는 기업의 경쟁력과 직결된다. 합리적인 정부 보조금은 기업의 R&D 투자를 촉진하고 더 많은 기업들이 핵심 기술과 경쟁력을 향상시키도록 장려할 수 있다. 독창성/가치: 본 논문은 중국 신에너지차의 현재 국제경쟁력을 글로벌 가치사슬의 관점에서 분석하고 신에너지 자동차의 국제경쟁력의 R&D투자에 영향을 미치는 결정적 요인을 분석해 중국 신에너지 자동차 회사들의R&D 투자를 늘리기 위한 건설적인 제안을 제공하기 위한 것이다. Purpose: This paper analyzes the influencing factors of China s new energy vehicle R&D investment based on the 2012~2019 data of Chinese new energy vehicle listed companies including BYD, Yutong Bus, Zhongtong Bus, Zotye Automobile, Great Wall Motor, King Long Motor, FAW Automobile, Foton Motor, and SAIC Motor. Design/Methodology: In this paper, the factors affecting the R&D of Chinese new energy automobile companies are evaluated using the unit root test, the Westerlund cointegration test, the Hausman test, and the 2SLS endogenous instrumental variable method. Findings: The number of employees in the company s R&D department is positively correlated with R&D intensity. Increasing the scale of the research and development department and introducing advanced technical experts can improve the quality of research and development. The company s profitability is closely related to the intensity of its research and development. Improving the company s profitability can ensure the company s sustainable operation, carry out other business activities more effectively, and provide a source of funding for technology research and development. Long-term R&D investment is directly related to the competitiveness of enterprises. Reasonable government subsidies can stimulate enterprises’ R&D investment and encourage more enterprises to improve their core technologies and competitiveness. Originality/Value: This paper analyzes the current international competitiveness of China s new energy vehicles from the perspective of global value chains, and analyzes the decisive factors that affect the international competitiveness of new energy vehicles, so as to provide constructive suggestions for increasing the R&D investment of China s new energy vehicle companies.

Research on Calculation Method of Suspension Bridge Internal Force under Random Traffic Load

Pengfei Wu,Zhichun Fang,Xue Wang,Renyuan Wang,Qiang Xu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.11

Suspension bridge is a flexible structure. The weight, location and number of traffic on the bridge will affect the geometric alignment of the bridge. Although the finite element software can analyze the geometric nonlinearity of the bridge, the calculation of random load combination in finite element software is huge. In this paper, based on the deformation coordination, static equilibrium and constitutive model of the bridge, the force expression considering the geometric nonlinearity of the bridge is derived. Finite element software is used to simulate the internal force of components of suspension bridge under train load and vehicle load. The accuracy is verified by comparing the finite element results. Considering the random number of traffics, the random location of traffics, and the random weight of traffics, this paper analyzes the stress state of bridge under the random process of train load and vehicle load respectively. The method in this paper can be well used to analyze the actual stress state of the bridge, and provide a theoretical basis for related calculations.

Asymmetric Temperature Load Method for Simulation Study of Wing Leading Edge in Flight Deicing with MFC

Wei Wang,Zhichun Yang 보안공학연구지원센터 2013 International Journal of Control and Automation Vol.6 No.6

Reliability Evaluation and Prediction of Deep Buried Tunnel Based on Similarity Theory and Model Test

Pengfei Wu,Zhichun Fang,Xue Wang,Guangyi Zhu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.6

Deep buried tunnel has a complex stress environment and large stress level. At present, it is difficult to dynamic monitoring for such tunnels. In order to make the safety evaluation and prediction of tunnel closer to the engineering practice, this paper deduces the tunnel reliability evaluation algorithm. The time-varying reliability of deep tunnel excavation process is analyzed and predicted. Based on the similarity theory, the actual deep tunnel excavation is simulated by indoor model test, the stress and deformation are monitored. The results show that after the tunnel excavation, the reliability of the structure does not decrease gradually, but increases slowly first and then decreases sharply. With the increase of the buried depth of the tunnel, the structural reliability decreases gradually. When the buried depth reaches a certain depth, the structural reliability will decrease rapidly. The influence of different parameters on the structural reliability has different sensitivity. The sensitivity of friction angle is the highest, and the sensitivity of gravity is the lowest. The sensitivity has little effect with the change of tunnel excavation time and tunnel buried depth. The accuracy of this method is verified by the comparative analysis of model box tests.

Stability Analysis of High-order Proportional Delayed Cellular Neural Networks with D Operators

Xiaojin Guo,Chuangxia Huang,Zhichun Yang,Jiping Zhang,Jinde Cao 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.2

In this paper, we focus on a class of high-order proportional delayed cellular neural networks involving D operator. First of all, the existence on the positive equilibrium points of the addressed system is revealed by applying the Brouwer’s fixed point theorem. Secondly, by utilizing the differential inequality techniques, Lyapunov function method and the matrix spectral radius theory, the global exponential stability of the positive equilibrium point is established for the first time, which shows that all solutions of the addressed system are eventually positive. Finally, the validity and practicability of our results are illustrated by some numerical simulations. The obtained results extend and improve some existing ones.

18F-fluorodeoxyglucose positron emission tomography/computed tomography of bilateral primary ureter lymphoma

( Liang Yin ),( Yusheng Zhen ),( Zhichun Lin ),( Weilong Li ),( Zhaowei Meng ) 대한내과학회 2021 The Korean Journal of Internal Medicine Vol.36 No.3

Nonlinear Aeroelastic Analysis of Heated Curved Panels in Supersonic Air Flow

Zhou Jian,Xu Minglong,Yang Zhichun 한국항공우주학회 2020 International Journal of Aeronautical and Space Sc Vol.21 No.4

A nonlinear aeroelastic model for a two-dimensional heated curved panel in supersonic air flow is established by using Galerkin method. The von Karman large deflection theory and the third-order piston theory appended with the static aerodynamic loading are used in the governing equations. The static aero-thermal deflection of the curved panel is firstly obtained by using Newton iterative approach. Then the stability boundary under different temperature elevations is achieved by using Lyapunov’s indirect method. Lastly, the motion equations of a heated curved panel in supersonic air flow are solved by a fourth-order Runge–Kutta numerical scheme. Time history responses, phase plots, Poincare maps and bifurcation diagrams are used for better understanding of the pre/post-flutter responses of a curved panel by varying parameters, including curvatures, dynamic pressures and temperature elevations. The results demonstrate that the flutter boundary drops significantly with increasing temperature elevation for panels with small curvatures. However, the flutter boundary almost keeps the same for panels with large curvatures. The nonlinear flutter characteristics of the curved panel differs from those of flat panels significantly, the nonlinear flutter response of heated curved panels changes from static equilibrium point or LCO to chaos with the increase of temperature elevation or dynamic pressure and the static, LCO motions also exist in the chaotic area. For panels with large curvatures, the chaotic motions cannot occur, and the amplitude of LCO is limited in a certain range.

Comparative morphology of sensilla on antenna, maxillary palp and labial palp of larvae of white‐spotted and yellow‐spotted Asian long‐horned beetle, Anoplophora glabripennis Motschulsky (Coleoptera: Cerambycidae)

Yuchao Yang,Lili XU,Lili REN,Zhichun XU,Shixiang ZONG 한국곤충학회 2017 Entomological Research Vol.47 No.1

The Asian long‐horned beetle (ALB) is one of the most important wood‐boring insects worldwide that damages broad‐leaved trees, primarily poplar, willow, elm and maple. Based on the color of the spots on the elytra, the beetles are separated into white‐spotted (ALB‐W) and yellow‐spotted (ALB‐Y) Asian long‐horned beetles. In order to clarify the morphology of sensilla on antenna, maxillary palp and labial palp of ALB‐W and ALB‐Y larvae, we studied the typology, morphology, number and distribution of the sensilla by scanning electron microscopy. The results showed that: (i) the antennae of two biotypes had five types of sensilla, including three types of sensilla basiconica (b.) and two types of sensilla twig basiconica (s.tb); numbers of b.1, b.2, b.3 and s.tb1 on antenna were not significantly different (P > 0.05) between two biotypes, and the numbers of s.tb2 were significantly different (P < 0.05); (ii) the maxillary palp of two biotypes had four types of sensilla, including sensilla styloconica (st.), two types of s.tb and digitiform sensilla (ds.); the numbers of st. and ds. on the maxillary palp were not significantly different (P > 0.05) between two biotypes, and the numbers of s.tb1 and s.tb2 were significantly different (P < 0.05); (iii) the labial palp of two biotypes had four types of sensilla, including b., st. and two types of s.tb, and the numbers of b.3, st., s.tb1 and s.tb2 on the labial palp were not significantly different (P > 0.05) between two biotypes. We discuss the relationships between sensilla and damage caused by the larvae inside the host trees.

Efficiently targeted therapy of glioblastoma xenograft via multifunctional biomimetic nanodrugs

Zhipeng Yao,Xiaochun Jiang,Hong Yao,Yafeng Wu,Fan Zhang,Cheng Wang,Chenxue Qi,Chenhui Zhao,Zeyu Wu,Min Qi,Jia Zhang,Xiaoxiang Cao,Zhichun Wang,Fei Wu,Chengyun Yao,Songqin Liu,Shizhang Ling,Hongping Xi 한국생체재료학회 2022 생체재료학회지 Vol.26 No.4

Background: Glioblastoma multiforme (GBM) is a fatal malignant primary brain tumor in adults. The therapeutic efficacy of chemotherapeutic drugs is limited due to the blood-brain barrier (BBB), poor drug targeting, and short biological half-lives. Multifunctional biomimetic nanodrugs have great potential to overcome these limitations of chemotherapeutic drugs. Methods: We synthesized and characterized a biomimetic nanodrug CMS/PEG-DOX-M. The CMS/PEG-DOX-M effectively and rapidly released DOX in U87 MG cells. Cell proliferation and apoptosis assays were examined by the MTT and TUNEL assays. The penetration of nanodrugs through the BBB and anti-tumor efficacy were investigated in the orthotopic glioblastoma xenograft models. Results: We showed that CMS/PEG-DOX-M inhibited cell proliferation of U87 MG cells and effectively induced cell apoptosis of U87 MG cells. Intracranial antitumor experiments showed that free DOX hardly penetrated the BBB, but CMS/PEG-DOX-M effectively reached the orthotopic ntracranial tumor through the BBB and significantly inhibited tumor growth. Immunofluorescence staining of orthotopic tumor tissue sections confirmed that nanodrugs promoted apoptosis of tumor cells. This study developed a multimodal nanodrug treatment system with the enhanced abilities of tumor-targeting, BBB penetration, and cancer-specific accumulation of chemotherapeutic drugs by combining chemotherapy and photothermal therapy. It can be used as a flexible and effective GBM treatment system and it may also be used for the treatment of other central nervous systems (CNS) tumors and extracranial tumors.