A5100571521- Music and Audio Processing
- Speech and Audio Processing
- Music Technology and Sound Studies
- Speech Recognition and Synthesis
- MXene and MAX Phase Materials
- Semiconductor materials and devices
- Advancements in Battery Materials
- GNSS positioning and interference
- Ga2O3 and related materials
- Ear Surgery and Otitis Media
- Statistical Distribution Estimation and Applications
- Gastrointestinal Tumor Research and Treatment
- Maternal Mental Health During Pregnancy and Postpartum
- Nasal Surgery and Airway Studies
- 2D Materials and Applications
- Amphibian and Reptile Biology
- Facial Rejuvenation and Surgery Techniques
- Statistical Methods and Bayesian Inference
- Nanomaterials for catalytic reactions
- Transition Metal Oxide Nanomaterials
- Video Surveillance and Tracking Methods
- Genomics and Phylogenetic Studies
- Industrial Technology and Control Systems
- Soil and Water Nutrient Dynamics
- Advanced Measurement and Detection Methods
Chinese Academy of Medical Sciences & Peking Union Medical College
2024-2025
Beijing Normal University
2024
Chengdu University of Technology
2024
Beijing Jiaotong University
2024
Institute of Semiconductors
2024
Chinese Academy of Sciences
2024
University of Chinese Academy of Sciences
2024
Peking Union Medical College Hospital
2024
Shaanxi University of Science and Technology
2023-2024
City University of Macau
2023
Transition-metal tellurides have been investigated as novel anode materials for application in sodium-ion batteries (SIBs) due to their rich active sites and unique controllable layered nanostructures. However, the weak structural strength inferior intercalation/deintercalation kinetics inhibit development of transition-metal tellurides. In this work, MoTe
We report on high performance and hysteresis-free amorphous indium-gallium-zinc oxide (a-IGZO) thin film transistors (TFTs) employing a low temperature (200 °C) spin-coated hafnium (HfO <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$_{{2}}{)}$ </tex-math></inline-formula> gate dielectric. An oxygen-doped precursor solution method (ODS) was proposed to improve the dielectric properties of these films,...
Background: The aim of this study was to investigate the effects different pressurization modes during high-load bench press training on muscle activation and subjective fatigue in bodybuilders. Methods: Ten bodybuilders participated a randomized, self-controlled crossover experimental design, performing under three modes: T1 (low pressure, high resistance), T2 (high C (non-pressurized conventional). Surface EMG signals were recorded from pectoralis major, deltoid, triceps muscles using...
Background The family-centered care is widely applied in pediatric nursing; however, there has been no research reflecting its extent of practice the auricular reconstruction process for families children with congenital microtia China. Objective This study aims to understand perspectives parents and nurses at centers Beijing, China, regarding practices specific areas that need improvement. Methods utilized Measure Processes Care (MPOC-20) Service Providers (MPOC-SP) survey 100 22 nurses....
Two-dimensional van der Waals (vdW) materials have attracted extensive interest because of their superior electrical, optical, thermodynamic, and mechanical properties, which hold great potential in the development flexible paper-based devices. The family vdW is significantly diverse electronic features range from metallic to semiconducting superconducting. This review covers state-of-the-art research progress various fabrication applications electronics optoelectronics. In particular,...
β-Ga <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> is expected to achieve polarization detection in the solar-blind ultraviolet due its ultra-broad bandgap and anisotropic crystal structure. In this work, we theoretically analyze physical mechanism of from probabilities electron transition. The photodetector with a Schottky photodiode structure has maximum responsivity 1.1 A/W...
In this paper, we propose a temporal-frequential attention model for sound event detection (SED). Our network learns how to listen with two models: temporal and frequential model. Proposed system when using the while it where on frequency axis With these models, attempt make our pay more important frames or segments components detection. proposed method is demonstrated task 2 of Detection Classification Acoustic Scenes Events (DCASE) 2017 Challenge achieves competitive performance.
Mn 2 Mo 3 O 8 /C nanotubes reshaped from micron-sized MnMoO 4 blocks using a simple method exhibited enhanced sodium storage performance.
In this paper, we propose a method for home activity monitoring. We demonstrate our model on dataset of Detection and Classification Acoustic Scenes Events (DCASE) 2018 Challenge Task 5. This task aims to classify multi-channel audios into one the provided pre-defined classes. All these classes are daily activities performed in environment. To tackle task, gated convolutional neural network with segment-level attention mechanism (SAM-GCNN). The proposed framework is two auxiliary modules:...
Sound event detection with weakly labeled data is considered as a problem of multi-instance learning.And the choice pooling function key to solving this problem.In paper, we proposed hierarchical structure improve performance sound system.Proposed has made remarkable improvements on three types without adding any parameters.Moreover, our system achieved competitive Task 4 Detection and Classification Acoustic Scenes Events (DCASE) 2017 Challenge using structure.
The complete mitochondrial genome of O. schmackeri has been sequenced and characterized in this study. mitogenome is a circular molecule 18 610 bp length, containing 13 protein-coding genes (PCGs), two ribosomal RNA (rRNA) genes, 21 transfer (tRNA) non-coding D-loop region (control region). Its gene arrangements are identical to the typical neobatrachian-type except for loss tRNAHis gene. Our data provide useful resource phylogenetic studies genus Odorrana.
In this paper, we propose a temporal-frequential attention model for sound event detection (SED). Our network learns how to listen with two models: temporal and frequential model. Proposed system when using the while it where on frequency axis With these models, attempt make our pay more important frames or segments components detection. proposed method is demonstrated task 2 of Detection Classification Acoustic Scenes Events (DCASE) 2017 Challenge achieves competitive performance.
Abstract Aiming at the problems of traditional industrial waste disposal, such as heavy workload, low efficiency and poor safety, a single visual servo sorting robot based on SVM is designed. These include intelligent identification classification systems, wireless communication systems. The adopts rectangular coordinate structure. After collecting picture information, interacts with upper computer. algorithm used to identify classify material realize autonomous transportation material. When...
Endoscopic resection (ER) of gastric submucosal tumors (G-SMTs) is challenging due to the difficulty exposure. Traction-assisted ER has been shown provide better outcomes than traditional endoscopic operation by exposing dissection plane. In this study, we investigated efficacy and safety snare traction-assisted method in G-SMTs.
Considering that the choice of loss function plays a significant role in derivation Bayesian estimators, we propose novel asymmetric named weighted Q-symmetric entropy for computing estimates parameter and reliability Burr XII distribution. This paper covers classical maximum-likelihood, uniformly minimum-variance unbiased, estimation methods under squared error loss, general new functions. Through Monte Carlo simulation, respective performances considered estimators are evaluated,...
Sound event detection with weakly labeled data is considered as a problem of multi-instance learning. And the choice pooling function key to solving this problem. In paper, we proposed hierarchical structure improve performance sound system. Proposed has made remarkable improvements on three types without adding any parameters. Moreover, our system achieved competitive Task 4 Detection and Classification Acoustic Scenes Events (DCASE) 2017 Challenge using structure.
In this paper, we propose a new method for rare sound event detection. Compared with conventional Convolutional Recurrent Neural Network (CRNN), devise Dilated-Gated (DGCNN) to improve the detection accuracy as well computational efficiency. Furthermore, loss function. Since frame-level predictions will be post processed get final prediction, continuous false alarm frames lead more insertion errors than single frame. So adopt discriminative penalty term function reduce errors. Our is tested...
With such strengths as global coverage, low facility cost and good compactness, GNSS is the most popular technology used in providing navigation positioning services for vehicles. To address concern that receive antenna impossible to be mounted on roof of a vehicle whole but only separately by means dual reflectors, an analysis was made principle dual-reflector antenna, upon which coordinate transformation reflectors well corresponding relation between position attitude determination were...
In this paper, we propose a method for home activity monitoring. We demonstrate our model on dataset of Detection and Classification Acoustic Scenes Events (DCASE) 2018 Challenge Task 5. This task aims to classify multi-channel audios into one the provided pre-defined classes. All these classes are daily activities performed in environment. To tackle task, gated convolutional neural network with segment-level attention mechanism (SAM-GCNN). The proposed framework is two auxiliary modules:...
In this paper, we describe our system for the Task 2 of Detection and Classification Acoustic Scenes Events (DCASE) 2019 Challenge: Audio tagging with noisy labels minimal supervision.This task provides a small amount verified data (curated data) larger quantity unverified (noisy as training data.Each audio clip contains one or more sound events, so it can be considered multi-label classification task.To tackle problem, mainly use four strategies.The first is sigmoid-softmax activation to...