A5050974637- Indoor and Outdoor Localization Technologies
- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Underwater Vehicles and Communication Systems
- Speech and Audio Processing
- Dark Matter and Cosmic Phenomena
- Robotics and Sensor-Based Localization
- Context-Aware Activity Recognition Systems
- Metal Forming Simulation Techniques
- ECG Monitoring and Analysis
- IoT and Edge/Fog Computing
- Music and Audio Processing
- Hand Gesture Recognition Systems
- Magnetic Properties of Alloys
- Metallurgy and Material Forming
- Wireless Networks and Protocols
- Cardiovascular, Neuropeptides, and Oxidative Stress Research
- Cardiac Health and Mental Health
- Collaboration in agile enterprises
- Adversarial Robustness in Machine Learning
- Network Security and Intrusion Detection
- Temporomandibular Joint Disorders
- Erosion and Abrasive Machining
- Sleep and Work-Related Fatigue
- Emotion and Mood Recognition
Wuhan Textile University
2023-2025
Wuhan University
2014-2024
Renmin Hospital of Wuhan University
2023-2024
Shanghai Jiao Tong University
2024
Sir Run Run Shaw Hospital
2024
Zhejiang University
2024
Fujian Business University
2022
Fujian Chuanzheng Communications College
2022
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2021
Hefei University of Technology
2018-2019
The PandaX-4T liquid xenon detector at the China Jinping Underground Laboratory is used to measure solar <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mrow><a:mmultiscripts><a:mrow><a:mi mathvariant="normal">B</a:mi></a:mrow><a:mprescripts/><a:none/><a:mrow><a:mn>8</a:mn></a:mrow></a:mmultiscripts></a:mrow></a:math> neutrino flux by detecting neutrinos through coherent scattering with nuclei. Data samples requiring coincidence of scintillation and ionization...
PandaX-4T experiment is a deep-underground dark matter direct search that employs dual-phase time projection chamber with sensitive volume containing 3.7 tonne of liquid xenon. The detector capable simultaneously collecting the primary scintillation and ionization signals, utilizing their ratio to discriminate signals from background sources such as gamma rays beta particles. signal response model plays crucial role in interpreting data obtained by PandaX-4T. It describes conversion...
Location-based services have become more and important with the development of Internet Things (IoT) technology in recent years. Global Navigation Satellite System (GNSS) is widely used for positioning outdoors while it still challenging to realize accurate universal 3D indoor localization complex environments. Crowdsourcing-based method proposed aiming at autonomously constructing navigation database based on pedestrians' daily-life data. This paper proposes an autonomous algorithm using...
Indoor wireless localization toward the next generation Wi-Fi access point has attracted considerable attention due to presentation of state-of-art fine time measurement (FTM) protocol. In order improve autonomy, accuracy, and universality positioning based on Internet Things (IoT) terminals, this article proposes a hybrid system which contains integration FTM, crowdsourced received signal strength indicator (RSSI) fingerprinting micro-electro-mechanical-system (MEMS) sensors (H-WPS). A...
Fatigue is believed to be the leading factor for traffic accidents (e.g., fatigue driving) and health problems heart disease diabetes). However, fatigue-related risks are difficult quantify because there no efficient reliable detection method comparable blood alcohol testing drunk drivers. Conventional methods either require wiring of sensors EEG ECG) that inconvenient or leverage video camera systems lighting sensitive may leak privacy. We present Ubi-Fatigue, a comfortable contactless...
Myocardial infarction (MI) is the myocardial necrosis caused by persistent ischemia and hypoxia of coronary arteries. People do not realize that they are suffering from MI until have a heart attack. Early detection plays vital role in symptom relief improvement performance daily activities. However, conventional methods require expensive inconvenient medical tests, e.g., intrusive blood tests or wear electrocardiogram (ECG) sensors, which can only be performed institutions. In this paper, we...
Water flow and silt movement in a double-suction centrifugal pump were simulated using an Euler–Lagrange multiphase model. Blade erosion rates predicted particle model the influence of inlet outlet shapes on abrasion was analyzed. The results show: relative velocity is larger suction side than pressure side; blade are severely abraded average rate always impact angle two important influencing factors, can be controlled by changing to reduce increase efficiency. In this simulation, effective...
Asthma is a common respiratory disease in modern society. However, people are rarely aware of the symptoms asthma because early stage similar to that cold (e.g., wheeze, cough, and shortness breath). To tackle this challenge, we propose an detection system, Ubi-Asthma, based on smartwatch. Ubi-Asthma combines breathing signals guttural sound cough throat-clearing sound) realize passive accurate without interrupting user. Not only can extract from user even if walking but also recognize when...
Non-Line of Sight (NLOS) error due to the blockage direct paths has been considered as major problem in wireless localization. Therefore, this paper studies influence on different algorithms caused by same NLOS order identify LOS base stations (BS) from BS. Specifically, Time Arrival (TOA) based algorithm and Sum arrival (TSOA) are chosen be two localization detect BS paper. Simulations show that proposed strategy presents superior performance Dense environment.
Sympathetic nervous system overactivation and abnormal lipid metabolism are featured in obesity may lead to cardiac remodeling. The effects of carotid baroreceptor stimulation (CBS) on remodeling obese rats the underlying mechanisms were explored.An model was induced by 16-week high-fat diet feeding. A CBS device implanted at 8th week. Body weight blood pressure measurements, electrocardiography, echocardiography, glucose insulin tolerance tests conducted before sampling. Plasma analysis...
Electrical energy consumption is an important component of for internal combustion engine vehicle, which directly affects the fuel economy. A bus-based electrical management system built, and strategy based on driving cycle recognition load perception presented to achieve refined vehicle energy. Six typical cycles are selected establish improved learning vector quantization neural network model recognition. The corresponding training algorithm designed by utilizing a similar classification...
Blood pressure (BP) is an essential vital sign related to many severe diseases, such as heart failure, kidney failure. Frequent BP detection can provide doctors more information treat the disease. However, conventional at-home devices require completely blocking blood flow, which lead discomfort and disruption of normal activity when users want perform frequent assessments. So a convenient solution should reduce trouble detecting in daily life. In this work, we have designed evaluated...
Alzheimer’s disease (AD) is an insidious and progressive neurodegenerative disease, the annual relevant social cost for AD patients can reach about $1 trillion worldwide. Therefore, early diagnosis treatment of play a vital role in slowing progression. However, existing detection methods cognitive impairment cannot consistently screen stage AD. To tackle this challenge, we propose system, Ubi-AD, which combines features multiple biomarkers to realize passive accurate detection. Unlike work,...
Abstract Electroencephalogram (EEG), as a tool capable of objectively recording brain electrical signals during emotional expression, has been extensively utilized. Current technology heavily relies on datasets, with its performance being limited by the size dataset and accuracy annotations. At same time, unsupervised learning contrastive methods largely depend feature distribution within thus requiring training tailored to specific datasets for optimal results. However, collection EEG is...
Obesity-associated cardiac remodeling is characterized by sympathetic nerve over-activation and pro-inflammatory macrophage infiltration. We identified norepinephrine (NE), a neurotransmitter, as effector to activate NLRP3 inflammasome, which contributed inflammation. In vivo, Sprague-Dawley (SD) rats were fed high-fat diet (HFD) for 12 weeks establish obese rat models. Obese exhibited marked hypertrophy compared normal rats. The expression of interleukin (IL)-1β was upregulated, accompanied...
This study evaluated the effectiveness of "Internet Plus" remote management in enhancing cardiac rehabilitation outcomes for patients with acute myocardial infarction (AMI) following percutaneous coronary intervention (PCI). A total 101 AMI post-PCI from Sir Run Shaw Hospital were included between December 2021 and November 2022. Patients retrospectively categorized into two groups based on type care they received: control group receiving standard rehabilitation, observation via six months....
Tracking the menstrual cycle (MC) is essential for women to manage their health and schedule, especially those with irregular MC. Existing MC tracking methods either rely on length of previous cycles (e.g., calendar noting) or require additional devices collect more information basal temperature), which are not able realize both accuracy convenience. Inspired by medical studies that gait patterns will be affected MC, we design a smartphone-based application named MC-Tracking, monitors based...