- Electric Motor Design and Analysis
- Craniofacial Disorders and Treatments
- Sensorless Control of Electric Motors
- Multilevel Inverters and Converters
- Facial Trauma and Fracture Management
- Cleft Lip and Palate Research
- Facial Rejuvenation and Surgery Techniques
- Acoustic Wave Phenomena Research
- Anatomy and Medical Technology
- Orthodontics and Dentofacial Orthopedics
- Magnetic Bearings and Levitation Dynamics
- Machine Fault Diagnosis Techniques
- Speech and Audio Processing
- Magnetic Properties and Applications
- Non-Destructive Testing Techniques
- Advanced Adaptive Filtering Techniques
- Biosensors and Analytical Detection
- Anomaly Detection Techniques and Applications
- Electrical Fault Detection and Protection
- Advanced biosensing and bioanalysis techniques
- Advanced MEMS and NEMS Technologies
- Medical and Biological Sciences
- Acoustic Wave Resonator Technologies
- HVDC Systems and Fault Protection
- Reconstructive Facial Surgery Techniques
National Institute of Metrology
2015-2025
Hebei University of Technology
2015-2025
Huazhong Agricultural University
2023-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2015-2024
Dalian Polytechnic University
2024
Changsha University
2024
First Bethune Hospital of Jilin University
2024
Hefei Cement Research Design Institute
2023
Peking Union Medical College Hospital
2009-2022
Zhejiang University
2017-2022
Stochastic Gradient Descent (SGD) is a popular algorithm that can achieve state-of-the-art performance on variety of machine learning tasks. Several researchers have recently proposed schemes to parallelize SGD, but all require performance-destroying memory locking and synchronization. This work aims show using novel theoretical analysis, algorithms, implementation SGD be implemented without any locking. We present an update scheme called HOGWILD! which allows processors access shared with...
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they been applied to many data intensive problems including information extraction, entity resolution, text mining. Current implementations of MLNs do not scale large real-world sets, which is preventing their widespread adoption. We present Tuffy achieves scalability via three novel contributions: (1) bottom-up approach grounding allows us leverage the full power relational...
This paper presents a detailed comparative evaluation of several direct torque control (DTC) strategies for permanent magnet synchronous machines (PMSMs), namely basic DTC, model predictive DTC (MPDTC) and with duty ratio modulation (DTC-duty). Moreover, field orient (FOC) is also included in this study. The aforementioned are reviewed their performances analyzed compared. comparison carried out through simulation 60 kW PMSM fed by two-level voltage source inverter (VSI). With the intent to...
This paper proposes a novel duty ratio modulated direct torque control (DDTC) to concurrently reduce ripple and stator flux that are typically associated with conventional (DTC). Three different methods of determination presented achieve various objectives, namely DDTC-final, DDTC-mean DDTC-rms. Additionally, adjustable error weight coefficients introduced balance the reduction reduction. Experimental results validate effectiveness proposed DDTC. Furthermore, comparative evaluation DDTC,...
This article elaborates a novel online full parameter estimation method for permanent magnet synchronous motors (PMSMs). Usually, only two parameters can be estimated using voltage functions in the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d-q</i> frame due to problem of rank deficiency. The α-β possesses inherent advantage that motor during steady and transient states. An algorithm based on recursive least squares is proposed estimate...
In this article, we propose a novel quasi-sinusoidal-wave excitation scheme for switched reluctance motors (SRMs) to minimize torque ripple fully considering the high-order inductance harmonics and their phase angle difference. The production mechanism is interpreted by interaction of defined virtual currents, based on which components, influence factors, compensation principle are analyzed in detail. To reduce caused fundamental zero-axis article proposes <italic...
Abstract The improper use and overuse of antibiotics have led to significant burdens detrimental effects on the environment, food supply, human health. Herein, a magnetic solid‐phase extraction program an optical immunosensor based bimetallic Ce/Zr‐UiO 66 for detection are developed. A Fe 3 O 4 @SiO 2 @Ce/Zr‐UiO metal‐organic framework (MOF) is prepared extract enrich chloramphenicol from fish, wastewater, urine samples, horseradish peroxidase (HRP)‐Ce/Zr‐UiO 66@bovine serum...
Clostridium butyricum (CbAgo)-based bioassays are popular due to their programmability and directional cleavage capabilities. However, the relatively compact protein structure of CbAgo limits its activity (even at optimal temperature), thus restricting wider application. Here, we observed that guide DNA (gDNA) with specific structural features significantly enhanced efficiency. Then, invented a novel gDNA containing DNAzyme segments (gDNAzyme) substantially efficency (by 100%). Using...
Detection of nucleic acids from a single multiplexed and amplification-free test is critical for ensuring food safety, clinical diagnostics, environmental monitoring. In this study, we introduced mesophilic Argonaute protein Clostridium butyricum (CbAgo), which exhibits acid endonuclease activity, to achieve programmable, system (PASS) rapid quantification at ambient temperatures in one pot. By using CbAgo-mediated binding with specific guide DNA (gDNA) subsequent targeted cleavage wild-type...
Pathogenic bacterial infections pose a significant threat to human life, health, and socioeconomic development, with those arising from Escherichia coli (E. coli) O157:H7 being particularly concerning. Herein, customized aggregation-induced emission luminogens (AIEgen)-based signaling tags (TPA-galactose) were combined microfluidic chip for the determination of E. O157:H7. TPA-galactose undergoes hydrolysis by β-galactosidase, resulting in formation highly fluorescent TPA–OH AIE...
Researchers have approached knowledge-base construction (KBC) with a wide range of data resources and techniques. The authors present Elementary, prototype KBC system that is able to combine diverse different techniques via machine learning statistical inference construct knowledge bases. Using they implemented solution the TAC-KBP challenge quality comparable state art, as well an end-to-end online demonstration automatically continuously enriches Wikipedia structured by reading millions...
Racing to unleash the full potential of big data with latest statistical and machine-learning techniques.
This article develops a highly integrated solar-assisted switched reluctance motor (SRM) drive for electric vehicle (EV) applications with electric-drive-reconstructed grid-to-vehicle (G2V) and vehicle-to-grid (V2G)/vehicle-to-load (V2L) functions. The flexible efficient multimode energy transmission is realized among SRM, battery pack, solar photovoltaic (PV) panels, ac grid. Under motoring condition, the standard switch modules are employed to implement bipolar current excitation...
Background: Oriental people usually have a wide midface and prominent zygoma. Reduction malarplasty is one of the most frequently requested procedures for improvement facial contour in Orient. Some methods involve coronal or preauricular incision osteotomy, but this increases likelihood skin scars injury to nerves, duration surgery. an intraoral approach cannot control degree reduction precision interosseous fixation with designed osteotomy lines. The authors L-shaped malar prominence...
DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected stored but which cannot be exploited by standard tools. If information in data --- scientific papers, Web classified ads, customer service notes, so on were instead database, it would give analysts access to massive highly-valuable new set "big data" exploit.
A maximum torque per ampere (MTPA) control based on virtual signal injection for an interior permanent magnet synchronous motor with fast dynamic response is proposed in this paper. small square wave mathematically injected into the current angle accurately tracking MTPA points. The extracted derivative of electromagnetic utilized to compensate initially set real operation angle. Due absence bandpass and low-pass filters, which are essential sinusoidal scheme, method shows good response. By...