- Embedded Systems Design Techniques
- Real-Time Systems Scheduling
- Geophysical Methods and Applications
- Structural Health Monitoring Techniques
- SAS software applications and methods
- Gamma-ray bursts and supernovae
- Rock Mechanics and Modeling
- Teleoperation and Haptic Systems
- Acoustic Wave Phenomena Research
- Robotics and Automated Systems
- EEG and Brain-Computer Interfaces
- Mineral Processing and Grinding
- Ultrasonics and Acoustic Wave Propagation
- Advanced Sensor and Control Systems
- Water Systems and Optimization
- Fault Detection and Control Systems
- Petri Nets in System Modeling
- Advanced Adaptive Filtering Techniques
- Drilling and Well Engineering
- Infrastructure Maintenance and Monitoring
- Emotion and Mood Recognition
- Robot Manipulation and Learning
- Education and Critical Thinking Development
- Hydrocarbon exploration and reservoir analysis
- Advanced Measurement and Detection Methods
Chongqing University
2011-2022
Jackson State University
2020
Fujian University of Technology
2010-2015
University of California, Berkeley
2005-2012
Academy of Military Transportation
2011
Harbin Engineering University
2009
Chinese Academy of Sciences
2005-2008
National Space Science Center
2008
Shenyang Institute of Automation
2005-2007
Beihang University
2007
The complexity and physical distribution of modern active safety, chassis, powertrain automotive applications requires the use distributed architectures. Complex functions designed as networks function blocks exchanging signal information are deployed onto HW implemented in a SW architecture consisting set tasks messages. typical configuration features priority-based scheduling messages imposes end-to-end deadlines. In this work, we present compare formulations procedures for optimization...
Time-triggered architectures (TTAs) are strong candidate platforms for safety-critical real-time applications. A typical time-triggered architecture is constituted by one or more clusters. Each cluster consists of nodes communicating with another via a communication protocol. Designing applications to run on such platform challenging task. We address this problem constructing UML-based design framework which exposes the essential features at UML-level and allows be developed abstract level...
FlexRay is a new communication protocol for automotive systems, providing support transmission of periodic messages in static segments and priority-based scheduling event-triggered dynamic segments. The design schedule not an easy task because constraints demands extensibility flexibility. We study the problem bus from perspective application designer, interested optimizing performance related timing metrics or extensibility. provide solutions different policies on existing industry...
The objective of this paper is to present how design a system that can accommodate additional functionality with either no changes the or adding architectural modules without changing implementation legacy functionality. This very relevant industrial domains where an architecture designed before full range functionalities support known. We focus on important aspect automotive systems: scheduling problem for hard real time distributed embedded systems. Two metrics are used capture goals....
Modern automotive architectures support the execution of distributed safety- and time-critical functions on a complex networked system with several buses tens ECUs. Schedulability theory allows analysis worst case end-to-end latencies evaluation possible architecture configurations options respect to timing constraints. The paper presents an optimization framework, based ILP formulation problem, select communication synchronization model that leverages trade-offs between purely periodic...
With embedded system being used in every corner of military and civil electronic industries, its security problem is prominent. Inspired by the natural immune system, paper proposes an middleware to prevent from misacting when net intrusion or inner mistake happens. Firstly a flexible bus that has three-layer architecture presented help acquire compatibility, multi- functionality standardization. Then based on this multiplayer architecture, evolved concept antigen antibody proposed. The...
Modern automotive architectures support the execution of distributed safety- and time-critical functions on a complex networked system with several buses tens ECUs. Schedulability theory allows analysis worst case end-to-end latencies evaluation possible architecture configurations options respect to timing constraints. The paper presents an optimization framework, based ILP formulation problem, select communication synchronization model that leverages trade-offs between purely periodic...
FlexRay [9] is an automotive standard for high-speed and reliable communication that being widely deployed next generation cars. The protocol has powerful error-detection mechanisms, but its error-management scheme forces a corrupted frame to be dropped without any notification the transmitter. In this paper, we analyze feasibility of propose optimization approach application-level acknowledgement retransmission which transmission time allocated on top existing schedule. We formulate problem...
To solve the development problems caused by geological characteristics of heterogeneous sandstone reservoirs, such as uneven interlayer exploitation, a method for improving exploitation differences applying injection–production coupling technology is proposed. A physical model elaborated in detail, and its mechanism enhancing oil recovery analyzed. The reservoir property parameters are measured, productivity numerical two-phase flow oil–water was established based on measurement results....
Music can regulate and improve the emotions of brain. Traditional emotional regulation approaches often adopt complete music. As is well-known, music may vary in pitch, volume, other ups downs. An individual’s also multiple states, preference varies from person to person. Therefore, traditional methods have problems, such as long duration, variable poor adaptability. In view these we use different processing stacked sparse auto-encoder neural networks identify state brain this paper. We...
FlexRay [9] is an automotive standard for high-speed and reliable communication that being widely deployed next generation cars. The protocol has powerful error-detection mechanisms, but its error-management scheme forces a corrupted frame to be dropped without any notification the transmitter. In this paper, we analyze feasibility of propose optimization approach application-level acknowledgement retransmission which transmission time allocated on top existing schedule. We formulate problem...
Acoustic emission (AE) and vibration signal are significant criteria of damage identification in structural health monitoring (SHM) engineering. Multi-disciplinary knowledge synergistic parameter effects technical challenges for assessment modelling. This study proposes a cause-and-effect analysis method based on information entropy. Monitoring data is used to form time-domain feature wave (TFW). The strength degradation factor (DF) would be define entropy (SDIE) vector. cause effect model...
Leaks in water pipelines can create many problems, such as financial loss, environmental pollution, and public health hazards. Previous scholars engineers have researched leak detection localization methods for water-filled pipe systems, which proven to be effective fault detection, even if under external noise. However, the performance of these techniques is unavoidably affected by noise from pipe, includes branch noise, has motivated researchers explore more high-performance technologies...
Embedded systems are often assembled from black box components. System-level analyses, including verification and timing analysis, typically assume the system description, such as RTL or source code, an input. There is therefore a need to automatically generate formal models of components facilitate analysis. We propose new method real-time embedded based on machine learning execution traces, under given hypothesis about system's model computation. Our technique novel formulation generation...
Long-term structural health monitoring (SHM) systems need intelligent management of the data. By analogy with way human brain processes memories, we present a bio-inspired memory model (BIMM) that does not require prior knowledge structure parameters. The contains three time-domain areas: sensory area, short-term area and long-term area. First, initial parameters state are specified to establish safety criteria. Then large amount data falls within limits is filtered while outside captured...
The focus of this paper is dynamic link allocation algorithms for sharing the limited resources tracking and data relay satellites (TDRS) system among many burst users with varying quality service (QoS) requirements. task scheduling communications between TDRS spacecraft getting more critical since an increasing number must communicate ground station by TDRS. In such a congested scenario, current practice, in which experts build hand-made schedules, often leaves large communication requests...
Abstract Effects of Scaffolding Creative Problem Solving Through Question Prompts in Project-Based Service LearningThis paper is intended to present the effect scaffolding (CPS)process through freshmen’s Community Learning on students’self-regulated learning and creative problem solving skills; probe contexts andconditions question prompts as for effectively facilitating students’ self-regulatedlearning problem-solving process their problem-based processes andproducing positive outcomes;...