Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jun Chi Ma"'
Autor:
Di‐Wei Zheng, Ji‐Yan Qiao, Jun‐Chi Ma, Jia‐Xin An, Chi‐Hui Yang, Yu Zhang, Qian Cheng, Zhi‐Yong Rao, Si‐Min Zeng, Lin Wang, Xian‐Zheng Zhang
Publikováno v:
Advanced Materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c4e413a59cce37ca1adb8a894b884ab
https://doi.org/10.1002/adma.202300977
https://doi.org/10.1002/adma.202300977
Publikováno v:
Applied Mechanics and Materials. :2569-2572
The new logging data of Daqing Oilfield every year is still scattered stored on a computer system in a separate document form at present, everytime use these logs are required to achieve through remote transmission,it’s very inconvenient and low re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb51d03c73fefb00697edebdcf0fd1a9
https://doi.org/10.4028/www.scientific.net/amm.687-691.2569
https://doi.org/10.4028/www.scientific.net/amm.687-691.2569
Publikováno v:
Applied Mechanics and Materials. :105-108
For the NLOS(non-line-of-sight) mobile robot system which use S3C2410 as a controller ,use ARM-Linux as an embedded operating system, this paper presents the positioning of the robot and its implementation method , which uses GPS global positioning t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::858e1ef3377e0426abe51bdc79f89907
https://doi.org/10.4028/www.scientific.net/amm.687-691.105
https://doi.org/10.4028/www.scientific.net/amm.687-691.105
Publikováno v:
Advanced Materials Research. :1076-1079
Tag collision problems seriously affected the performance of the RFID system. In order to solve this problem, we proposed an improved Recession Binary Tree Algorithm to avoid duplication and redundancy search, so that system throughput can substantia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03343b95479aa9ec6ac450925b1fc181
https://doi.org/10.4028/www.scientific.net/amr.1006-1007.1076
https://doi.org/10.4028/www.scientific.net/amr.1006-1007.1076
Publikováno v:
Advanced Materials Research. :1416-1419
The parameters of the oil pumping machine model determines its performance and balance rate, A set of good parameters can effectively improve the balance rate of pumping unit. Several oil pumping machine model subroutine has developed and practicaly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7663b4efe1c741efcd1252cc570b5694
https://doi.org/10.4028/www.scientific.net/amr.753-755.1416
https://doi.org/10.4028/www.scientific.net/amr.753-755.1416
Publikováno v:
Advanced Materials Research. :3116-3119
The system for well-logging data designed for data files unified management, can offer a function based on data query and download, also can offer instant replays for data curves. This system contains some functions following that format converting,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::696cc52f2cfa809f7c002d3c17767389
https://doi.org/10.4028/www.scientific.net/amr.753-755.3116
https://doi.org/10.4028/www.scientific.net/amr.753-755.3116
Publikováno v:
Journal of Education in New Century, Vol 1, Iss 1 (2013)
在单片机课程教学过程中，传统教学存在理论和实践脱节，实验资源利用率低、实验模式不适应等弊端，致使学生的工程应用能力并未得到实质提升。笔者结合教学实践，在单片机教学过程
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::0e776356e7a4b088c3ddefefd6516316
http://journal.newcenturyscience.com/index.php/jenc/article/view/121
http://journal.newcenturyscience.com/index.php/jenc/article/view/121
Publikováno v:
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology. 46(12)
To evaluate the effect of denture base resin surface pretreatment with chemical etchants on microleakage and bond strength between silicone-based resilient liner and denture base resin. The initial bending strength of denture base resin after surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0da44711d87d9fc0882b303cc1a90b10
https://pubmed.ncbi.nlm.nih.gov/22333361
https://pubmed.ncbi.nlm.nih.gov/22333361
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