http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Xinchang Zhang (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
Xinchang Zhang,Wenyuan Cui,Frank Liou 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.8 No.6
In the component repair process using additive manufacturing (AM) technique, reconstructing the repair volume is essential to generate the repair tool path and guide the AM system to deposit correct geometry on the worn parts. In this study, a novel repair volume reconstruction methodology based on voxel modeling was introduced. At first, the stereolithography (STL) models of the nominal and damaged components were acquired either from computer-aided design (CAD) modeling or through robot-aided 3D scanning. The pre-machining approach was introduced to guarantee the defective zone is accessible to repair tools. The damaged models were aligned with the nominal models by best-fitting their common convex-hull centroids. After that, these STL models were converted to voxel models using the Marching Cube algorithm. The accuracy of the transferred voxel models was investigated by comparing them with the exact geometry. Boolean operations algorithm based on constructive solid geometry was proposed to extract the repair volume by comparing the nominal and damaged voxel models. The Boolean operations can output both the repair volume that is missing from the damaged parts which should be restored by AM and the excess geometry which should be removed by subtractive machining. The proposed approach was implemented on three CAD models and three scanned models. The repair volumes for these damaged parts were successfully reconstructed. Three components were repaired via the directed energy deposition AM process. Finally, the bonding performance between the deposited layers and base parts was evaluated via tensile testing.
-
Optimizing Energy-Latency Tradeoff for Computation Offloading in SDIN-Enabled MEC-based IIoT
Xinchang Zhang,Changsen Xia,Tinghuai Ma,Lejun Zhang,Zilong Jin 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.12
With the aim of tackling the contradiction between computation intensive industrial applications and resource-weak Edge Devices (EDs) in Industrial Internet of Things (IIoT), a novel computation task offloading scheme in SDIN-enabled MEC based IIoT is proposed in this paper. With the aim of reducing the task accomplished latency and energy consumption of EDs, a joint optimization method is proposed for optimizing the local CPU-cycle frequency, offloading decision, and wireless and computation resources allocation jointly. Based on the optimization, the task offloading problem is formulated into a Mixed Integer Nonlinear Programming (MINLP) problem which is a large-scale NP-hard problem. In order to solve this problem in an accessible time complexity, a sub-optimal algorithm GPCOA, which is based on hybrid evolutionary computation, is proposed. Outcomes of emulation revel that the proposed method outperforms other baseline methods, and the optimization result shows that the latency-related weight is efficient for reducing the task execution delay and improving the energy efficiency.
-
Minggang Zhao,Xinchang Wang,Jipeng Cheng,Li-wei Zhang,Jianfeng Jia,Xin-Jian Li 한국물리학회 2013 Current Applied Physics Vol.13 No.2
Undoped and Al-doped ZnO nanofibers were synthesized via a simple electrospinning method, and then characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), Raman scattering and photoluminescence (PL) spectroscopy. The ethanol sensing properties of the sensor based on the nanofibers were also investigated. The results show that the sensor fabricated from Al-doped ZnO nanofibers exhibits better gas sensing performance than that fabricated from the undoped ZnO nanofibers, and the gas sensing mechanism is discussed.
-
Xinghui Han,Xinchang Zhang,Lin Hua 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.10
In cold orbital forging machine with two eccentricity rings, the kinetic locus of the upper tool includes two types. The first one is thekinetic locus of one point in the axis of the upper tool, which is produced by the motion of the two eccentricity rings. The second one isthe kinetic locus of one point in the working surface of the upper tool, which is produced by the first type of kinetic locus. Both types ofkinetic locus of the upper tool is critical to cold orbital forging. The first one has great influences on the deformation of cold orbitalforged components and the second one can be used to make the intervention examination between the upper tool and components. So thispaper aims at obtaining the kinetic locus of the upper tool in cold orbital forging machine with two eccentricity rings so as to better designand check the cold orbital forging tools. Firstly, a model of analyzing the kinetic locus of the upper tool is developed. Then, the generalequations of the kinetic locus of the upper tool, which can describe the kinetic locus of the arbitrary point in the upper tool under allkinds of geometric and kinematic relations between the two eccentricity rings in cold orbital forging machine, are achieved. Finally, thecharacteristics and applications of the kinetic locus of the upper tool are discussed based on these equations. This study has great significancesfor adjusting the two eccentricity rings of the machine to control the motion of the upper tool and designing and checking the coldorbital forging tools.
-
Fang Ting,Liu Suyi,Chen Liying,Ren Yating,Lu Dingqi,Yao Xinyi,Hong Tao,Zhang Xvfeng,Xie Zhimin,Yang Kepeng,Wang Xinchang 한국유전학회 2023 Genes & Genomics Vol.45 No.9
Background As a multisystemic autoimmune illness, the basic mechanisms behind the pathophysiology of systemic lupus erythematosus (SLE) remain poorly understood. Objective We aimed to investigate the possible significance of SLE’s DNA methylation and gain further insight into potential SLE-related biomarkers and therapeutic targets. Methods We used whole genome bisulfite sequencing (WGBS) method to analyze DNA methylation in 4 SLE patients and 4 healthy people. Results 702 differentially methylated regions (DMRs) were identified, and 480 DMR-associated genes were annotated. We found the majority of the DMR-associated elements were enriched in repeat and gene bodies. The top 10 hub genes identified were LCK, FYB, PTK2B, LYN, CTNNB1, MAPK1, GNAQ, PRKCA, ABL1, and CD247. Compared to the control group, LCK and PTK2B had considerably decreased levels of mRNA expression in the SLE group. Receiver operating characteristic (ROC) curve suggested that LCK and PTK2B may be potential candidate biomarkers to predict SLE. Conclusions Our study improved comprehension of the DNA methylation patterns of SLE and identified potential biomarkers and therapeutic targets for SLE.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
