Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jiachuang Wang"'
Autor:
Xiawei Yue, Jiachuang Wang, Heng Yang, Zening Li, Fangyu Zhao, Wenyuan Liu, Pingping Zhang, Hong Chen, Hanjun Jiang, Nan Qin, Tiger H. Tao
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract The olfactory sensory system of Drosophila has several advantages, including low power consumption, high rapidity and high accuracy. Here, we present a biomimetic intelligent olfactory sensing system based on the integration of an 18-channel
Externí odkaz:
https://doaj.org/article/9beb24abf34947a5af96efb8e7742126
Autor:
Mengwei Liu, Yujia Zhang, Jiachuang Wang, Nan Qin, Heng Yang, Ke Sun, Jie Hao, Lin Shu, Jiarui Liu, Qiang Chen, Pingping Zhang, Tiger H. Tao
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
For the object recognition in lightless environments, the authors propose the olfactory-tactile machine learning approach, inspired by the star-nose mole’s neural system. They show how bionic flexible sensor arrays allow for real-time acquisition o
Externí odkaz:
https://doaj.org/article/d2af36bae5414f4caa2fe3e925d0e5ea
Autor:
Dexuan Huo, Jilin Zhang, Xinyu Dai, Pingping Zhang, Shumin Zhang, Xiao Yang, Jiachuang Wang, Mengwei Liu, Xuhui Sun, Hong Chen
Publikováno v:
Sensors, Vol 23, Iss 5, p 2433 (2023)
The sensitivity and selectivity profiles of gas sensors are always changed by sensor drifting, sensor aging, and the surroundings (e.g., temperature and humidity changes), which lead to a serious decline in gas recognition accuracy or even invalidati
Externí odkaz:
https://doaj.org/article/bee317b02e1c40d98f8f4e28b3f15dd8
Publikováno v:
Mathematics, Vol 11, Iss 4, p 838 (2023)
Rockburst is a common and huge hazard in underground engineering, and the scientific prediction of rockburst disasters can reduce the risks caused by rockburst. At present, developing an accurate and reliable rockburst risk prediction model remains a
Externí odkaz:
https://doaj.org/article/b9c4950719cd4f45823a195aa3227d9a
Autor:
Jiachuang Wang, Jiang Guo
Publikováno v:
IEEE Access, Vol 7, Pp 123710-123724 (2019)
Rock mass grading is a basic problem in the construction industry and underground engineering research. Because the index parameters that affect the rock mass quality are ambiguous and random, rock mass quality classification is often uncertain. Base
Externí odkaz:
https://doaj.org/article/29644981601d49619570a2905561c71c
Publikováno v:
Frontiers in Physics, Vol 8 (2021)
Under high-stress conditions, rock burst disasters can significantly impact underground civil engineering construction. For underground metal mines, rock burst evaluations and prevention during mining have become major research topics, and the predic
Externí odkaz:
https://doaj.org/article/d3ce8daf620443d7a4a54f55d19a86a2
Autor:
Jiachuang Wang, Jiang Guo
The overexploitation of mineral resources and the heavy use of mineral resources have caused serious environmental damage. The growing problem of mine safety also directly threatens the personal safety of the surrounding population and hinders the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe4762d4b56635c525265bb4424060f5
https://doi.org/10.21203/rs.3.rs-2454988/v1
https://doi.org/10.21203/rs.3.rs-2454988/v1
Publikováno v:
2023 IEEE 36th International Conference on Micro Electro Mechanical Systems (MEMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe2676b2f3ab9aad42091330352c5ed0
https://doi.org/10.1109/mems49605.2023.10052128
https://doi.org/10.1109/mems49605.2023.10052128
Autor:
Longjun Dong, Jiachuang Wang
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 1; Pages: 423
Safety ergonomics is an important branch of safety science and environmental engineering. As humans enter the era of big data, the development of information technology has brought new opportunities and challenges to the innovation, transformation, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b0738564e0ec8a071c6ba19c1d5a3dd
https://pubmed.ncbi.nlm.nih.gov/36612744
https://pubmed.ncbi.nlm.nih.gov/36612744
Publikováno v:
Sustainability; Volume 14; Issue 4; Pages: 2435
To study the occurrence characteristics of hazardous chemical accidents in China, mathematical analysis methods were used to study hazardous chemical fatalities (HCFs) in recent years. This research focused on selecting seven accident characteristics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe8f144b193244becf1d7606abe41516