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Pedro PONCE, Therese PEFFER, Arturo MOLINA
《能源前沿(英文)》 2019年 第13卷 第3期 页码 522-538 doi: 10.1007/s11708-018-0562-2
关键词: thermostats perceptions beliefs signal detection theory (SDT) fuzzy signal detection theory (FSDT) chi-square (CS) test
Advances in airborne microorganisms detection using biosensors: A critical review
《环境科学与工程前沿(英文)》 2021年 第15卷 第3期 doi: 10.1007/s11783-021-1420-8
Humanity has been facing the threat of a variety of infectious diseases. Airborne microorganisms can cause airborne infectious diseases, which spread rapidly and extensively, causing huge losses to human society on a global scale. In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be roughly divided into biochemical, immune, and molecular technologies.
关键词: Biosensor Airborne microorganisms Microbiological detection technology
Recent advances in SERS detection of perchlorate
Jumin Hao, Xiaoguang Meng
《化学科学与工程前沿(英文)》 2017年 第11卷 第3期 页码 448-464 doi: 10.1007/s11705-017-1611-9
关键词: perchlorate SERS detection substrate modification nanostructure
《环境科学与工程前沿(英文)》 2022年 第16卷 第3期 doi: 10.1007/s11783-021-1472-9
• A spectral machine learning approach is proposed for predicting mixed antibiotic.
关键词: Antibiotic contamination Spectral detection Machine learning
Edge detection of steel plates at high temperature using image measurement
Qiong Zhou, Qi An
《机械工程前沿(英文)》 2009年 第4卷 第1期 页码 77-82 doi: 10.1007/s11465-009-0013-1
关键词: thermal expansion image measurement edge detection image calibration
Machine vision-based automatic fruit quality detection and grading
《农业科学与工程前沿(英文)》 doi: 10.15302/J-FASE-2023532
● A machine vision-based prototype system was developed for fruit grading.
关键词: Computer and machine vision convolution neural network deep learning defective fruit detection fruit grading microcontroller
Experimental and numerical study on microcrack detection using contact nonlinear acoustics
Xiaojia CHEN, Yuanlin WANG
《结构与土木工程前沿(英文)》 2009年 第3卷 第2期 页码 137-141 doi: 10.1007/s11709-009-0028-z
关键词: microcrack detection contact nonlinearity numerical analysis
Digital image correlation-based structural state detection through deep learning
《结构与土木工程前沿(英文)》 2022年 第16卷 第1期 页码 45-56 doi: 10.1007/s11709-021-0777-x
关键词: structural state detection deep learning digital image correlation vibration signal steel frame
Damage detection in beam-like structures using static shear energy redistribution
《结构与土木工程前沿(英文)》 2022年 第16卷 第12期 页码 1552-1564 doi: 10.1007/s11709-022-0903-4
关键词: damage detection beam structure strain energy static displacement variation energy damage index
Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation
《结构与土木工程前沿(英文)》 2023年 第17卷 第5期 页码 732-744 doi: 10.1007/s11709-023-0965-y
关键词: tunnel engineering crack segmentation fast detection DeepLabv3+ feature fusion attention mechanism
The defect-length effect in corrosion detection with magnetic method for bridge cables
Qiwei ZHANG, Rongya XIN
《结构与土木工程前沿(英文)》 2018年 第12卷 第4期 页码 662-671 doi: 10.1007/s11709-018-0512-4
Quantitative evaluation of the steel corrosion in cables is significant for the safe operation of cable-supported bridges. The magnetic flux (MF) examination shows great potential to detect the corrosion defect, or loss of metallic cross-sectional area (LMA). An LMA defect in steel cables can be measured accurately when it is longer than a certain length. However, for defects in early stage, where the length of corrosion area is short, the MF examination may produce unacceptable error. In this study, the effect of defect length on the MF examination for corrosion detection of bridge cables is investigated through theoretical analysis and model experiments. An original analytical model to quantify the influence of defect length is proposed based on the equivalent magnetic circuit method. Then, MF examination experiments are performed on a series of cable models with different defect lengths and locations to verify the analytical model. Further, parameter study is conducted based on the proposed analytical model to clarify the mechanism of the defect-length effect. The results show that the area loss caused by short corrosion damage will be underestimated if the defect-length effect is neglected, and this effect can be quantified efficiently with the proposed analytical model.
关键词: bridge cable corrosion detection defect length MF examination quantitative evaluation
Image-based fall detection and classification of a user with a walking support system
Sajjad TAGHVAEI, Kazuhiro KOSUGE
《机械工程前沿(英文)》 2018年 第13卷 第3期 页码 427-441 doi: 10.1007/s11465-017-0465-7
The classification of visual human action is important in the development of systems that interact with humans. This study investigates an image-based classification of the human state while using a walking support system to improve the safety and dependability of these systems. We categorize the possible human behavior while utilizing a walker robot into eight states (i.e., sitting, standing, walking, and five falling types), and propose two different methods, namely, normal distribution and hidden Markov models (HMMs), to detect and recognize these states. The visual feature for the state classification is the centroid position of the upper body, which is extracted from the user’s depth images. The first method shows that the centroid position follows a normal distribution while walking, which can be adopted to detect any non-walking state. The second method implements HMMs to detect and recognize these states. We then measure and compare the performance of both methods. The classification results are employed to control the motion of a passive-type walker (called “RT Walker”) by activating its brakes in non-walking states. Thus, the system can be used for sit/stand support and fall prevention. The experiments are performed with four subjects, including an experienced physiotherapist. Results show that the algorithm can be adapted to the new user’s motion pattern within 40 s, with a fall detection rate of 96.25% and state classification rate of 81.0%. The proposed method can be implemented to other abnormality detection/classification applications that employ depth image-sensing devices.
关键词: fall detection walking support hidden Markov model multivariate analysis
Crack detection for wading-concrete structures using water irrigation and electric heating
《结构与土木工程前沿(英文)》 2023年 第17卷 第3期 页码 368-377 doi: 10.1007/s11709-022-0926-x
关键词: structural health monitoring underwater concrete structure fiber Bragg grating crack detection temperature tracer method
《机械工程前沿(英文)》 2023年 第18卷 第3期 doi: 10.1007/s11465-023-0760-4
关键词: multi-information fusion contact detection quadruped robot probabilistic contact model unstructured terrain
标题 作者 时间 类型 操作
Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico
Pedro PONCE, Therese PEFFER, Arturo MOLINA
期刊论文
A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning
期刊论文
Experimental and numerical study on microcrack detection using contact nonlinear acoustics
Xiaojia CHEN, Yuanlin WANG
期刊论文
The defect-length effect in corrosion detection with magnetic method for bridge cables
Qiwei ZHANG, Rongya XIN
期刊论文
Image-based fall detection and classification of a user with a walking support system
Sajjad TAGHVAEI, Kazuhiro KOSUGE
期刊论文