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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

Abstract: It is a very important task to automatically fix the number of die in the image recognition system ofA multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedExperimental results demonstrated that the number of target images could be determined by the algorithmAs a result, time consumed by one image recognition is shortened, the performance of the image recognition

Keywords: clustering     different     recognition algorithm     Algorithm     multiobjective    

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

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition

Keywords: Drainage online recognition     UV-vis spectra     Derivative spectrum     Convolutional neural network    

The modified Adaboost algorithm for Chinese handwritten character recognitionThe modified Adaboost algorithmfor Chinese handwritten character recognition

Ding Xiaoqing,Fu Qiang

Strategic Study of CAE 2009, Volume 11, Issue 10,   Pages 19-24

Abstract:

The proposed modified Adaboost algorithm adopts the descriptive modelIn order to reduce the recognition complexity, the pruning method was performed to pick out only oneApplying the algorithm to Chinese handwritten character recognition on HCL2000 and THOCR-HCD databases

Keywords: multiclass Adaboost algorithm     Chinese handwritten character recognition     generalized confidence     modified    

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

Abstract: Emotion recognition via facial expressions (ERFE) has attracted a great deal of interest with recentadvances in artificial intelligence and pattern recognition.In this paper, we propose a real-time emotion recognition approach based on both 2D and 3D facial expressionA fusion algorithm based on improved emotional profiles (IEPs) and maximum confidence is proposed to

Keywords: Kinect     Emotion recognition     Facial expression     Real-time classification     Fusion algorithm     Support vector    

Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 81-84

Abstract: Based on the fuzzy pattern recognition, data are sorted and further classified, with cooperative clusteringalgorithm.

Keywords: fuzzy pattern recognition     nearest neighbor(NN)     cooperative clustering algorithm(CCA)     slurry concentration    

Research on constraint-based virtual assembly technologies

YANG Rundang, WU Dianliang, FAN Xiumin, YAN Juanqi

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 243-249 doi: 10.1007/s11465-007-0043-5

Abstract: First, the automatic recognition algorithm based on the assembly relation is used to determine the positionSecond, to satisfy the new constraint, according to the positing solving algorithm, the position andFinally, the algorithm of movement navigation based on the generalized coordinate system is put forward

Keywords: movement DOF     recognition algorithm     assembly     orientation     combination    

A Smart Metasurface for Electromagnetic Manipulation Based on Speech Recognition Article

Lin Bai, Yuan Ke Liu, Liang Xu, Zheng Zhang, Qiang Wang, Wei Xiang Jiang, Cheng-Wei Qiu, Tie Jun Cui

Engineering 2023, Volume 22, Issue 3,   Pages 185-190 doi: 10.1016/j.eng.2022.06.026

Abstract: realize a smart metasurface for programming electromagnetic (EM) manipulations based on human speech recognitionThe smart metasurface platform is composed of a digital coding metasurface, a speech-recognition moduleTogether with the DAC and single-chip computer, the speech-recognition module can recognize voice commandsIn addition, a genetic algorithm (GA) is adopted in the design of the metasurface for efficiently optimizing

Keywords: Speech recognition     Programmable metasurface     Genetic algorithm     Smart electromagnetic manipulation    

Learning and Applications of Procedure Neural Networks

He Xingui,Liang Jiuzhen,Xu Shaohua

Strategic Study of CAE 2001, Volume 3, Issue 4,   Pages 31-35

Abstract:

This paper deals with learning algorithms for procedure neural networks (PNN) and its applications in aggregation chemical reaction and seepage test in oil geology. Weight bases selection rules and pattern curve standard problems are also discussed. These examples show that PNN have extensive applications.

Keywords: procedure neural networks     learning algorithm     pattern recognition     chemical reaction     seepage    

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

Abstract: has become the focus of spinal surgery research so as to strengthen the objectivity of tissue state recognitionThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords: spinal surgery     tissue state recognition     image     force sensing     bioelectrical impedance    

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

Abstract: Human action recognition is currently one of the most active research areas in computer vision.However, some extrinsic factors are barriers for the development of action recognition; e.g., human actionsthe nearest neighborhood graph construction procedure, a robust locally adaptive multi-view learning algorithmdemonstrate data adaptiveness, effectiveness, and efficiency of our algorithm.More importantly, when the feature dimension is correctly selected (i.e.,>60), the proposed algorithm

Keywords: View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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

Abstract: With the development of face recognition using sparse representation based classification (SRC), manyA fast marching algorithm is used to rapidly select the subset from the graph, and SRC is implemented

Keywords: Face recognition     Sparse representation     Manifold structure     Metric learning     Subset selection    

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

Abstract: Named entity recognition (NER) is essential in many natural language processing (NLP) tasks such as information

Keywords: NER     NLP     Chinese language     construction document    

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

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2,   Pages 231-237 doi: 10.1007/s11705-017-1633-3

Abstract: The resulting gel can be applied as a fascinating platform for visual recognition of enantiomeric 1-(

Keywords: gelator     Schiff base     chiral recognition     gel formation     gel collapse    

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

Abstract:

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

Abstract: Named entity recognition (NER) is a core component in many natural language processing applications.

Keywords: NER corpora     Chinese Wikipedia     Entity classification     Domain adaptation     Corpus selection    

Title Author Date Type Operation

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Journal Article

The modified Adaboost algorithm for Chinese handwritten character recognitionThe modified Adaboost algorithmfor Chinese handwritten character recognition

Ding Xiaoqing,Fu Qiang

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

Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Journal Article

Research on constraint-based virtual assembly technologies

YANG Rundang, WU Dianliang, FAN Xiumin, YAN Juanqi

Journal Article

A Smart Metasurface for Electromagnetic Manipulation Based on Speech Recognition

Lin Bai, Yuan Ke Liu, Liang Xu, Zheng Zhang, Qiang Wang, Wei Xiang Jiang, Cheng-Wei Qiu, Tie Jun Cui

Journal Article

Learning and Applications of Procedure Neural Networks

He Xingui,Liang Jiuzhen,Xu Shaohua

Journal Article

Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

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

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

IDEEA activity monitor: validity of activity recognition for lying, reclining, sitting and standing

Yuyu Jiang, Janet L. Larson

Journal Article

Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Journal Article