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High-Temperature Target Recognition Based on Spectral Radiation Information
Fan Xueliang,Cheng Xiaofang,Xu Jun
Strategic Study of CAE 2004, Volume 6, Issue 6, Pages 57-62
Keywords: video image object recognition radiation information liquid crystal light valve
Robust object tracking with RGBD-based sparse learning Article
Zi-ang MA, Zhi-yu XIANG
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7, Pages 989-1001 doi: 10.1631/FITEE.1601338
Keywords: Object tracking Sparse learning Depth view Occlusion templates Occlusion detection
Creating technical heritage object replicas in a virtual environment
Olga EGOROVA,Dmitry SHCHERBININ
Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1, Pages 108-115 doi: 10.1007/s11465-016-0363-4
The paper presents innovative informatics methods for creating virtual technical heritage replicas, which are of significant scientific and practical importance not only to researchers but to the public in general. By performing 3D modeling and animation of aircrafts, spaceships, architectural-engineering buildings, and other technical objects, the process of learning is achieved while promoting the preservation of the replicas for future generations. Modern approaches based on the wide usage of computer technologies attract a greater number of young people to explore the history of science and technology and renew their interest in the field of mechanical engineering.
Keywords: 3D document history of science and technology technical knowledge popularization virtual environment replica mechanism and machine science (MMS)
Multiobjective image recognition algorithm in the fully automatic die bonder
JIANG Kai, CHEN Hai-xia, YUAN Sen-miao
Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3, Pages 313-316 doi: 10.1007/s11465-006-0026-y
Keywords: clustering different recognition algorithm Algorithm multiobjective
Advances in tissue state recognition in spinal surgery: a review
Hao Qu, Yu Zhao
Frontiers of Medicine 2021, Volume 15, Issue 4, Pages 575-584 doi: 10.1007/s11684-020-0816-3
Keywords: spinal surgery tissue state recognition image force sensing bioelectrical impedance
Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY
Frontiers in Energy 2013, Volume 7, Issue 3, Pages 279-287 doi: 10.1007/s11708-013-0268-4
Keywords: ocean wave energy point absorbers heaving body non-floating object heave response ratio artificial neural
View-invariant human action recognition via robust locally adaptive multi-view learning
Jia-geng FENG,Jun XIAO
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11, Pages 917-920 doi: 10.1631/FITEE.1500080
Keywords: View-invariant Action recognition Multi-view learning L1-norm Local learning
Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6
• UV-vis absorption analyzer was applied in drainage type online recognition
Keywords: Drainage online recognition UV-vis spectra Derivative spectrum Convolutional neural network
Face recognition based on subset selection via metric learning on manifold
Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12, Pages 1046-1058 doi: 10.1631/FITEE.1500085
Keywords: Face recognition Sparse representation Manifold structure Metric learning Subset selection
Underwater object detection by fusing features from different representations of sonar data Research Article
Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6, Pages 828-843 doi: 10.1631/FITEE.2200429
Keywords: Underwater object detection Sonar data representation Feature fusion
Named entity recognition for Chinese construction documents based on conditional random field
Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 237-249 doi: 10.1007/s42524-021-0179-8
Keywords: NER NLP Chinese language construction document
Xuhong Zhang, Haimiao Li, Xin Zhang, Meng An, Weiwei Fang, Haitao Yu
Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2, Pages 231-237 doi: 10.1007/s11705-017-1633-3
Keywords: gelator Schiff base chiral recognition gel formation gel collapse
UsingKinect for real-time emotion recognition via facial expressions
Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4, Pages 272-282 doi: 10.1631/FITEE.1400209
Keywords: Kinect Emotion recognition Facial expression Real-time classification Fusion algorithm Support vector
IDEEA activity monitor: validity of activity recognition for lying, reclining, sitting and standing
Yuyu Jiang, Janet L. Larson
Frontiers of Medicine 2013, Volume 7, Issue 1, Pages 126-131 doi: 10.1007/s11684-012-0236-0
Recent evidence demonstrates the independent negative effects of sedentary behavior on health, but there are few objective measures of sedentary behavior. Most instruments measure physical activity and are not validated as measures of sedentary behavior. The purpose of this study was to evaluate the validity of the IDEEA system’s measures of sedentary and low-intensity physical activities: lying, reclining, sitting and standing. Thirty subjects, 14 men and 16 women, aged 23 to 77 years, body mass index (BMI) between 18 to 34 kg/m2, participated in the study. IDEEA measures were compared to direct observation for 27 activities: 10 lying in bed, 3 lying on a sofa, 1 reclining in a lawn chair, 10 sitting and 3 standing. Two measures are reported, the percentage of activities accurately identified and the percentage of monitored time that was accurately labeled by the IDEEA system for all subjects. A total of 91.6% of all observed activities were accurately identified and 92.4% of the total monitored time was accurately labeled. The IDEEA system did not accurately differentiate between lying and reclining so the two activities were combined for calculating accuracy. Using this approach the IDEEA system accurately identified 96% of sitting activities for a total of 97% of the monitored sitting time, 99% and 99% for standing, 87% and 88% for lying in bed, 87% and 88% for lying on the sofa, and 83% and 83% for reclining on a lawn chair. We conclude that the IDEEA system accurately recognizes sitting and standing positions, but it is less accurate in identifying lying and reclining positions. We recommend combining the lying and reclining activities to improve accuracy. The IDEEA system enables researchers to monitor lying, reclining, sitting and standing with a reasonable level of accuracy and has the potential to advance the science of sedentary behaviors and low-intensity physical activities.
Keywords: IDEEA activity monitor sedentary behavior
Automatically building large-scale named entity recognition corpora from Chinese Wikipedia
Jie ZHOU,Bi-cheng LI,Gang CHEN
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11, Pages 940-956 doi: 10.1631/FITEE.1500067
Keywords: NER corpora Chinese Wikipedia Entity classification Domain adaptation Corpus selection
Title Author Date Type Operation
High-Temperature Target Recognition Based on Spectral Radiation Information
Fan Xueliang,Cheng Xiaofang,Xu Jun
Journal Article
Creating technical heritage object replicas in a virtual environment
Olga EGOROVA,Dmitry SHCHERBININ
Journal Article
Multiobjective image recognition algorithm in the fully automatic die bonder
JIANG Kai, CHEN Hai-xia, YUAN Sen-miao
Journal Article
modeling on improved performance of an innovative method of using heave response of a non-floating object
Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY
Journal Article
View-invariant human action recognition via robust locally adaptive multi-view learning
Jia-geng FENG,Jun XIAO
Journal Article
Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm
Journal Article
Face recognition based on subset selection via metric learning on manifold
Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU
Journal Article
Underwater object detection by fusing features from different representations of sonar data
Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn
Journal Article
Named entity recognition for Chinese construction documents based on conditional random field
Journal Article
Visual chiral recognition of 1,1′-binaphthol through enantioselective collapse of gel based on an amphiphilic
Xuhong Zhang, Haimiao Li, Xin Zhang, Meng An, Weiwei Fang, Haitao Yu
Journal Article
UsingKinect for real-time emotion recognition via facial expressions
Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN
Journal Article
IDEEA activity monitor: validity of activity recognition for lying, reclining, sitting and standing
Yuyu Jiang, Janet L. Larson
Journal Article