A5050378530- Fault Detection and Control Systems
- Nutrition and Health in Aging
- Machine Fault Diagnosis Techniques
- Advanced Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Frailty in Older Adults
- Maritime Navigation and Safety
- Advanced Control Systems Optimization
- Control Systems in Engineering
- Advanced Sensor and Control Systems
- Energy Load and Power Forecasting
- Sleep and related disorders
- Network Security and Intrusion Detection
- Time Series Analysis and Forecasting
- Obesity, Physical Activity, Diet
- Software Reliability and Analysis Research
- Adaptive Control of Nonlinear Systems
- Safety Systems Engineering in Autonomy
- Health Systems, Economic Evaluations, Quality of Life
- Water Quality Monitoring Technologies
- Maritime Transport Emissions and Efficiency
- Oil and Gas Production Techniques
- Artificial Immune Systems Applications
- MicroRNA in disease regulation
- Machine Learning and ELM
Marine Design & Research Institute of China
2018-2025
Sichuan University
2020-2023
West China Hospital of Sichuan University
2021
Northwest Normal University
2020
North Minzu University
2019
Harbin Engineering University
2013-2016
Abstract Background The trajectory of frailty and intrinsic capacity (IC) often overlap in older adults. Longitudinal analyses transitions IC, their associations with incident functional decline are limited. present study aimed to identify status explore between future disability among community-dwelling Methods In the West China Aging Trend Study, 808 participants aged ≥ 60 years completed baseline three follow-up (frailty, IC assessments). Physical was measured based on Fried phenotype....
Abstract Background and purpose Motoric cognitive risk (MCR) syndrome characterized by subjective complaints slow gait has been proposed validated as a pre‐dementia syndrome. The overall specific ethnic prevalence of MCR the associated factors are poorly understood in middle‐aged to older community‐dwelling residents west China. Methods present study included 6091 samples from prospective cohort study, West China Health Aging Trend (WCHAT). Multidimensional demography, lifestyle, social...
Marine diesel engine with high thermal efficiency and good economy has become the main power of ships. Anomaly detection is an important method to improve operation reliability marine engine. Most anomaly research focuses on failures that have occurred, few studies consider prediction. A predictive based echo state network (ESN) deep autoencoder proposed. Historical sample data collected used train prediction ESN auto-encoder. After training, predict sensor sequence in future. And predicted...
Waterjet propulsion, which generates thrust by ejecting water jets, has attracted significant attention in modern high-performance vessels due to its efficiency, superior cavitation resistance, and excellent maneuverability. While previous research primarily concentrated on optimizing the overall performance of waterjet propulsion systems, insufficient been paid detailed dynamic modeling actuators multi-pump a critical component for improving system control precision. This paper addresses...
Abstract Objective Uncertainties remain regarding the relationship between sarcopenic obesity and frailty. This study aimed to explore association of these two common geriatric syndromes among community-dwelling older adults. Methods Baseline data from West China Health Aging Trend (WCHAT) was used. Sarcopenia assessed based on criteria established by Asian working group for sarcopenia. Body fat percentages above 60th percentile specified sex were classified as obesity. Sarcopenic defined...
Unmanned surface vehicle (USV) is the future development direction of ships, but few studies have focused on USV's energy optimization based visual perception. An strategy object detection developed for USV. A target recognition method proposed by combining YOLOv5 and DeepSORT. Visual results are fused with radar targets to support route plan By dynamically adjusting threshold number provided radar, result more accurate. Experimental show that has best performance than other commonly used...
In recent years, unmanned surface vehicle (USV) has made great progress with the development of communication and electronic technologies. future, USVs will be widely used in marine tasks. USV begun to offer a wide variety large heterogeneous data sources. The architecture big is discussed. A prototype system established, preliminary anomaly detection application based on isolation forest method developed. effective results show that feasible. establishment meaningful can provide services.
In this study, we investigated whether nutrition status mediates the relationship between cognitive decline and sarcopenia. Sarcopenia was assessed in 4023 community-dwelling older adults from West China using AWGS 2014 diagnostic criteria. Cognitive function were 10-item Short Portable Mental Status Questionnaire (SPMSQ) Mini Nutrition Assessment-Short Form (MNA-SF) scale, respectively. Mediation model regression analysis demonstrated that negatively associated with sarcopenia (β = -0.521;...
The reliability and stability of marine diesel engines are pivotal to the safety economy maritime operations. Accurate efficient prediction states these is essential for performance evaluation operational continuity. This paper introduces a novel hybrid deep learning model, multi-dimensional global temporal predictive (MDGTP) designed synchronous multi-state engines. model incorporates parallel multi-head attention mechanisms, an enhanced long short-term memory (LSTM) with interleaved...
With the development of unmanned systems, more and attentions are paid to energy power systems data-driven ships. The autonomy ships puts forward urgent requirements for monitoring prediction system Aiming at state marine diesel engine, an improvement method based on variational modal decomposition (VMD) long short-term memory (LSTM) is proposed in this paper. sub signals obtained by decomposing signal be predicted through VMD, resident all with LSTM, reconstruction sum signal. Compared ESN,...
To determine the risk of poor health-related outcomes in older adults with cooccurring hearing impairment and cognitive impairment, to compare only, multiple morbidities. Cross-sectional study. Community-dwelling aged 60 years were included. The data missing status excluded, 3770 people participated function evaluation was conducted by questionnaire survey. Assessment completed using SPMSQ scale. subjects divided into group, only group neither group. Multiple logistic regression used analyze...
Abstract Objective Sarcopenic obesity is a prevalent geriatric syndrome, characterized by concurrence of sarcopenia and obesity. Sleep duration linked to both sarcopenia. However, little was known regarding the association sleep with sarcopenic In this study, we aimed examine in multi-ethnic community-dwelling older adults. Methods Sarcopenia defined according criteria established Asian Working Group for (AWGS) 2019. Obesity as body fat percentage above 60th percentile specified sex....
Diesel generator set is widely used in a variety of fields including industry, agriculture and daily life. In order to obtain the operation status information time facilitate health management fault prediction, wireless sensor network based data collection system developed. Most streaming series data, which anomalies provide important critical situations. Hierarchical temporal memory (HTM) technology cone neuron model on interaction between neuroscience physiology pyramidal neurons cerebral...
<b><i>Introduction:</i></b> Physical symptoms and frailty are common in older adults. A previous study has reported that multiple somatic associated with frailty. In this study, we aimed to describe the picture of physical adults western China examine relationship frailty, as well sex difference relationship. <b><i>Methods:</i></b> Cross-sectional analyses were based on West Health Aging Trend (WCHAT) comprising 4,106 community-dwelling (60–95...
A fuzzy adaptive analytic model predictive control method is proposed in this paper for a class of uncertain nonlinear systems. Specifically, invoking the standard results from Moore-Penrose inverse matrix, unmatched problem which exists commonly input and output dimensions systems firstly solved. Then, recurring to law, combined with approach, controller synthesis underlying developed. To further reduce impact approximation error on system improve robustness system, robust compensation term...
To deal with the problem how to control yaw and roll using rudder together for nonlinear ship stabilization motion, a method based on feedback linearization closed-loop gain shaping algorithm is proposed in this paper. Firstly, used design controller, then get linear law. When motion controlled by rudder, loss of steering gear can be increase, problem, fuzzy applied weighted coefficients optimization. Finally, simulation results show that controller has better adaptation yaw, reduced...
The maritime industry is on the cusp of a revolution with advent Unmanned Surface Vehicles (USVs), which are redefining paradigm autonomous operations. These sophisticated vessels transitioning from human-operated systems to entities, courtesy advancements in robotics and artificial intelligence (AI). This paper examines role embodied intelligence, integration AI into operational fabric USVs, enhancing capabilities these vessels. It delves current state USV applications, challenges...
Diesel engine is an important energy equipment. The valve system the core component of diesel with high failure rate. It great significance to study abnormal detection method and realize warning before occurs for avoiding unexpected shutdown engine. In this paper, anomaly marine based on Mahalanobis distance (MD) proposed. mode analyzed. Three thermal parameters are selected as monitoring roller fragmentation. Fault features extracted by MD threshold determined Box-Cox transformation....
An analytic model predictive control method is proposed to deal with a class of bounded uncertain nonlinear systems. Firstly, it can be redefined as the nominal system form, and optimal law uncertainties obtained. Derivation shows that obtained eliminates then able acquire utilizing boundary value. Apply Routh-Hurwitz criterion theory prove stability closed-loop system, therefore, provide selection conditions controller parameter. The original in process solving uncertainty problem converted...
Ship motion prediction plays a prominent role in the whole ship process. This paper presents new approach for prediction. In order to obtain more effective result, studied BP neural network and Volterra series model, chaos characteristics of time series. A novel method single-output three-layer identify kernels is proposed. Multi-step roll at 135° with accomplished. The simulation analysis demonstrate that based on has higher precision, longer time, effectiveness adaptability, it can predict exactly.