Resource Type

Journal Article 20

Year

2023 1

2022 4

2021 2

2020 1

2019 1

2017 1

2015 4

2013 1

2009 1

2007 1

2006 1

2001 1

open ︾

Keywords

Kalman filter 2

Polygonum multiflorum 1

Actor-critic structure 1

Adaptive optimal control actor 1

Autonomous exploration 1

Bayesian filtering 1

Boundary control 1

Chinese herbal medicine 1

Coagulation 1

Constrained filtering 1

Cut-balance condition 1

Drinking water treatment 1

Dynamic balance 1

Dynamic clustering 1

Filtration 1

Flocculation 1

Fuzzy C-means 1

Fuzzy-regulated critic 1

Gaussian filter 1

open ︾

Search scope:

排序： Display mode:

The problems about the theory of “Known for unknown”

Zhu Xun

Strategic Study of CAE 2015, Volume 17, Issue 2,   Pages 35-39

Abstract:

“Known for unknown” is an important guiding ideology and prospecting method in mineral“Known for unknown” discuss relative to the prospecting for new working target，mainly inspace layout and the difference between the point and the surface and the unknown regions and known oredeposits，and put forward prospecting method to analysis of development theory in “Known for unknownAnd then promote and determine “Known for unknown” theory in ore prospecting work in practical

Keywords： Known for unknown； theory； prospecting； method； practice    

HTML PDF Collect

Being good or being known: International reputation of high-speed railway enterprises

Frontiers of Engineering Management   Pages 455-466 doi: 10.1007/s42524-023-0250-8

Abstract: framework for the international reputation of HSR enterprises from two perspectives: Being good and being known

Keywords： high-speed railway     international reputation     being good     being known     structural equation modeling    

HTML PDF Collect

What have we known so far about microplastics in drinking water treatment? A timely review

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 5, doi: 10.1007/s11783-021-1492-5

Abstract:

• 23 available research articles on MPs in drinking water treatment are reviewed.

Keywords： Microplastics     Drinking water treatment     Coagulation     Flocculation     Membrane     Filtration    

HTML PDF Collect

Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 168-174 doi: 10.1007/s11465-007-0028-4

Abstract: To precisely implement the force control of robot manipulators in an unknown environment, a control strategyThe influences of unknown parameters of the environment on the contact force are analyzed based on experimentaltrajectory in the impedance model is predicted exactly and rapidly in the cases that the contact surface is unknown, the contact stiffness changes, and the fuzzy force control algorithm has high adaptability to the unknown

Keywords： predictive     tracking     corresponding     stiffness     algorithm    

HTML PDF Collect

Stability and agility: biped running over varied and unknown terrain

Yang YI,Zhi-yun LIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 283-292 doi: 10.1631/FITEE.1400284

Abstract: We tackle the problem of a biped running over varied and unknown terrain.Then to ensure a small state jump at touchdown on the unknown terrain, the velocity of the swing foot

Keywords： Underactuated running biped     Dynamic balance     Varied and unknown terrain    

HTML PDF Collect

A robot fuzzy motion planning approach in unknown environments

FU Yi-li, JIN Bao, LI Han, WANG Shu-guo

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 336-340 doi: 10.1007/s11465-006-0033-z

Abstract: A fuzzy robot motion planning approach is proposed in unknown environments for three-degree industrial

Keywords： manipulator     repelling influence     manipulator configuration     three-degree industrial     simulation    

HTML PDF Collect

What have we known so far for fluorescence staining and quantification of microplastics: A tutorial review

Shengdong Liu, Enxiang Shang , Jingnan Liu , Yining Wang , Nanthi Bolan , M.B. Kirkham , Yang Li

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 1,   Pages 8-8 doi: 10.1007/s11783-021-1442-2

Abstract: Understanding the fate and toxicity of microplastics (MPs,<5 mm plastic particles) is limited by quantification methods. This paper summarizes the methods in use and presents new ones. First, sampling and pretreatment processes of MPs, including sample collection, digestion, density separation, and quality control are reviewed. Then the promising and convenient staining procedures and quantification methods for MPs using fluorescence dyes are reviewed. The factors that influence the staining of MPs, including their physicochemical properties, are summarized to provide an optimal operation procedure. In general, the digestion step is crucial to eliminate natural organic matter (NOM) to avoid interference in quantification. Chloroform was reported to be the most appropriate solvent, and 10–20 μg/mL are recommended as optimal dye concentrations. In addition, a heating and cooling procedure is recommended to maintain the fluorescence intensity of MPs for two months. After staining, a fluorescence microscope is usually used to characterize the morphology, mass, or number of MPs, but compositional analysis cannot be determined with it. These fluorescence staining methods have been implemented to study MP abundance, transport, and toxicity and have been combined with other chemical characterization techniques, such as Fourier transform infrared spectroscopy and Raman spectroscopy. More studies are needed to focus on the synthesis of novel dyes to avoid NOM’s interference. They need to be combined with other spectroscopic techniques to characterize plastic composition and to develop image-analysis methods. The stability of stained MPs needs to be improved.
HTML PDF Collect

High-order moment methods for LRFD including random variables with unknown probability distributions

Zhao-Hui LU, Yan-Gang ZHAO, Zhi-Wu YU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 288-295 doi: 10.1007/s11709-013-0210-1

Abstract: the determination of the load and resistance factors, the basic random variables are assumed to have knownHowever, in reality, the probability distributions of some of the basic random variables are often unknownIn this paper, the high-order moment methods for LRFD including random variables with unknown probabilityfactors can be determined even when the probability distributions of the basic random variables are unknown

Keywords： high-order moment methods     applicable range     load and resistance factors     target mean resistance    

HTML PDF Collect

Evidence chain-based causality identification in herb-induced liver injury: exemplification of a well-known

Jiabo Wang,Zhijie Ma,Ming Niu,Yun Zhu,Qingsheng Liang,Yanling Zhao,Jingyuan Song,Zhaofang Bai,Yaming Zhang,Ping Zhang,Na Li,Yakun Meng,Qi Li,Lushan Qin,Guangju Teng,Junling Cao,Baosen Li,Shilin Chen,Yonggang Li,Zhengsheng Zou,Honghao Zhou,Xiaohe Xiao

Frontiers of Medicine 2015, Volume 9, Issue 4,   Pages 457-467 doi: 10.1007/s11684-015-0417-8

Abstract:

Herbal medicines have recently been recognized as the second most common cause of drug-induced liver injury (DILI) in the United States. However, reliable methods to identify the DILI causality of some herbs, such as Heshouwu (dried root of Polygonum multiflorum), remain lacking. In this study, a total of 12 307 inpatients with liver dysfunction and 147 literature-reported cases of Heshouwu DILI were screened. A general algorithm indicated that only 22.5% (9/40) and 30.6% (45/147) of all hospitalization and literature case reports, respectively, demonstrate the high probability of DILI causality of Heshouwu. By contrast, 95% (19/20) of all cases prospectively investigated by pharmacognosy, phytochemistry, and metabolomic tests exhibited highly probable causality, including a patient who was previously incorrectly attributed and a case that was excluded from Heshouwu causality by pharmacognostic evidence. Toxin (heavy metals, pesticides, and mycotoxins) contamination was also excluded from Heshouwu DILI causality. The objectivity of these screening methods for Heshouwu DILI diagnosis addresses safety concerns regarding stilbene-containing herbal medicines and dietary supplements.

Keywords： drug-induced liver injury     pharmacognosy     metabolomics     stilbene     Polygonum multiflorum     Chinese herbal medicine    

HTML PDF Collect

Analysis of A Block Cipher Based on Chaos

Jin Chenhui

Strategic Study of CAE 2001, Volume 3, Issue 6,   Pages 75-80

Abstract: in “Design of Block Cipher substitution network on chaos” can be broken by attack with known

Keywords： chaos sequence     block cipher     transposition cipher     attack with known plaintext     attack with ciphertext only    

HTML PDF Collect

New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 386-392 doi: 10.1007/s11465-009-0041-x

Abstract: local controller with interaction forces at substructural interfaces, which are considered as “unknownAn algorithm of recursive least squares estimation for the unknown excitation is proposed.

Keywords： substructures     decentralized control     linear quadratic Gaussian (LQG)     Kalman filter     unknown input     least-squares    

HTML PDF Collect

Convergence of time-varying networks and its applications Research Articles

Qingling Wang,qlwang@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000160

Abstract: In this study, we present the convergence of . Then, we apply the convergence property to cooperative control of nonlinear multiagent systems (MASs) with (UCDs), and illustrate a new kind of based control algorithms. It is proven that if the are cut-balance, the convergence of nonlinear MASs with nonidentical UCDs is achieved using the presented algorithms. A critical feature of this application is that the designed algorithms can deal with nonidentical UCDs by employing conventional s. Finally, one simulation example is given to illustrate the effectiveness of the presented algorithms.

Keywords： Time-varying networks     Unknown control directions     Nussbaum-type function     Cut-balance condition    

HTML PDF Collect

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Intelligent power systems can improve operational efficiency by installing a large number of sensors. Data-based methods of supervised learning have gained popularity because of available Big Data and computing resources. However, the common paradigm of the loss function in supervised learning requires large amounts of labeled data and cannot process unlabeled data. The scarcity of fault data and a large amount of normal data in practical use pose great challenges to fault detection algorithms. Moreover, sensor data faults in power systems are dynamically changing and pose another challenge. Therefore, a fault detection method based on self-supervised feature learning was proposed to address the above two challenges. First, self-supervised learning was employed to extract features under various working conditions only using large amounts of normal data. The self-supervised representation learning uses a sequence-based Triplet Loss. The extracted features of large amounts of normal data are then fed into a unary classifier. The proposed method is validated on exhaust gas temperatures (EGTs) of a real-world 9F gas turbine with sudden, progressive, and hybrid faults. A comprehensive comparison study was also conducted with various feature extractors and unary classifiers. The results show that the proposed method can achieve a relatively high recall for all kinds of typical faults. The model can detect progressive faults very quickly and achieve improved results for comparison without feature extractors in terms of F1 score.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear time series    

HTML PDF Collect

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900610

Abstract: indirect adaptive fuzzy-regulated optimal control scheme for continuous-time nonlinear systems with unknown

Keywords： Hamilton-Jacobi-Bellman equation     Fuzzy-regulated critic     Adaptive optimal control actor     Actor-critic structure     Unknown    

HTML PDF Collect

Decentralized Searching of Multiple Unknown and Transient Radio Sources with Paired Robots Article

Chang-Young Kim, Dezhen Song, Jingang Yi, Xinyu Wu

Engineering 2015, Volume 1, Issue 1,   Pages 58-65 doi: 10.15302/J-ENG-2015010

Abstract: this paper, we develop a decentralized algorithm to coordinate a group of mobile robots to search for unknown

Keywords： wireless localization     networked robots     transient targets    

HTML PDF Collect

Title Author Date Type Operation

The problems about the theory of “Known for unknown”

Zhu Xun

Journal Article

Being good or being known: International reputation of high-speed railway enterprises

Journal Article

What have we known so far about microplastics in drinking water treatment? A timely review

Journal Article

Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Journal Article

Stability and agility: biped running over varied and unknown terrain

Yang YI,Zhi-yun LIN

Journal Article

A robot fuzzy motion planning approach in unknown environments

FU Yi-li, JIN Bao, LI Han, WANG Shu-guo

Journal Article

What have we known so far for fluorescence staining and quantification of microplastics: A tutorial review

Shengdong Liu, Enxiang Shang , Jingnan Liu , Yining Wang , Nanthi Bolan , M.B. Kirkham , Yang Li

Journal Article

High-order moment methods for LRFD including random variables with unknown probability distributions

Zhao-Hui LU, Yan-Gang ZHAO, Zhi-Wu YU

Journal Article

Evidence chain-based causality identification in herb-induced liver injury: exemplification of a well-known

Jiabo Wang,Zhijie Ma,Ming Niu,Yun Zhu,Qingsheng Liang,Yanling Zhao,Jingyuan Song,Zhaofang Bai,Yaming Zhang,Ping Zhang,Na Li,Yakun Meng,Qi Li,Lushan Qin,Guangju Teng,Junling Cao,Baosen Li,Shilin Chen,Yonggang Li,Zhengsheng Zou,Honghao Zhou,Xiaohe Xiao

Journal Article

Analysis of A Block Cipher Based on Chaos

Jin Chenhui

Journal Article

New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Journal Article

Convergence of time-varying networks and its applications

Qingling Wang,qlwang@seu.edu.cn

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Journal Article

Decentralized Searching of Multiple Unknown and Transient Radio Sources with Paired Robots

Chang-Young Kim, Dezhen Song, Jingang Yi, Xinyu Wu

Journal Article