- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Advanced Data Storage Technologies
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Reservoir Engineering and Simulation Methods
- Real-Time Systems Scheduling
- Image Retrieval and Classification Techniques
- Autonomous Vehicle Technology and Safety
- Simulation Techniques and Applications
- Business Process Modeling and Analysis
- Nanoplatforms for cancer theranostics
- Real-time simulation and control systems
- Research Data Management Practices
- Embedded Systems Design Techniques
- Interactive and Immersive Displays
- Wireless Sensor Networks and IoT
- Advanced biosensing and bioanalysis techniques
- Image Enhancement Techniques
- Text and Document Classification Technologies
- Image and Object Detection Techniques
- 3D Shape Modeling and Analysis
- Educational Technology and Assessment
- Network Time Synchronization Technologies
- COVID-19 diagnosis using AI
Changchun University of Science and Technology
2020-2025
State Ethnic Affairs Commission
2024
Anhui University
2021
Jilin Province Science and Technology Department
2017-2020
Jilin University
2010-2020
Universität Innsbruck
2005-2009
South Central Minzu University
2007
Due to the low contrast of abdominal CT (Computer Tomography) images and similar color shape liver other organs such as spleen, stomach, kidneys, segmentation presents significant challenges. Additionally, 2D obtained from different angles (such sagittal, coronal, transverse planes) increase diversity morphology complexity segmentation. To address these issues, this paper proposes a Detail Enhanced Convolution (DE Conv) improve feature learning thereby enhance performance. Furthermore,...
We present the ASKALON environment whose goal is to simplify development and execution of workflow applications on Grid. centered around a set high-level services for transparent effective Grid access, including Scheduler optimized mapping workflows onto Grid, an Enactment Engine reliable application execution, Resource Manager covering both computers components, Performance Prediction service based training phase statistical methods. A sophisticated XML-based programming interface that...
Pine nematode is a highly contagious disease that causes great damage to the world’s pine forest resources. Timely and accurate identification of can help control it. At present, there are few research on identification, it difficult accurately identify locate in single by existing methods. This paper proposes new network, SCANet (spatial-context-attention network), based unmanned aerial vehicle (UAV) multi-spectral remote sensing images. In this method, spatial information retention module...
Currently grid application developers often configure available components into a workflow of tasks that they can submit for executing on the grid. In this paper, we present an abstract language (AGWL) describing applications at high level abstraction. AGWL has been designed such user concentrate specifying without dealing with either complexity or any specific implementation technology (e.g. Web service). is XML-based which allows programmer to define graph activities refer mostly...
Raycasting is a common technique for selecting targets in virtual reality, yet small, distant moving remains challenge. Inspired by the comet mechanism, we propose TrailTag, which enhances selection adding Trail to each target, dynamically adjusting its activation area based on speed and size. Additionally, static Tag attached, allowing via either or depending scenario. We define design criteria both Tag, implement visual feedback, determine optimal trail width through experiments....
Existing work does not provide a flexible dataset-oriented data flow mechanism to meet the complex requirements of scientific Grid workflow applications. In this paper we present sophisticated approach problem by introducing collection concept and corresponding distribution constructs, which are inspired HPF, however applied Based on these more fine-grained flows can be specified at an abstract language level, such as mapping portion dataset activity, independently distributing multiple...
Abstract Inferring the 3D surface shape of a known template from 2D images captured by monocular camera is challenging problem. Due to severely underconstrained nature problem, inferring accurately becomes particularly when exhibits high curvature, resulting in disappearance feature points and significant differences between inferred actual deformations. To address this paper proposes concise innovative approach that utilizes physical simulator incorporating object’s material properties...
Existing knowledge based grid workflow languages and composition tools require sophisticated expertise of domain scientists in order to automate the process managing workflows its components (activities). So far semantic specification management has not been addressed from a general integrated perspective. This paper presents novel oriented approach which features separations concerns between data meaning representation activity function (semantic description activities) type (syntactic...
The workflow paradigm is one of the most important programming models for Grid. composition Grid workflows has been widely studied in community. However, there still a lack general and efficient approach automatic workflows. In this paper, we present STRIPS (Stanford Research Institute Problem Solver) based formal definition problem, followed by novel graph algorithm high quality (portable, fault tolerant optimized) Our searches semantic descriptions activities, i.e., Activity Functions...
Multilevel thresholding is to find the thresholds segment image with grey levels. Usually, are so determined that some indicator functions of segmented optimized. To improve computational efficiency, we presented an optimization method for multilevel thresholding. First, solution space divided into subspaces. Second, subspaces searched obtain their current local optimal value. Third, worse value eliminated. Then, next round elimination exerted in remainder. The repeated until only one...
Increasing functionality and complexity of automotive embedded system have led to more risks from systematic faults random hardware faults. This makes it necessary perform the functional safety process throughout lifecycle these systems. In addition, appearance new standard ISO 26262 also make consideration as part design implementation for systems is growing in importance. paper presents a comprehensive analysis approach based on model. The modeling outlined applied Dual Clutch Transmission...
In the production of automotive gauge, one most important step is to test meters on dashboard some which are needle meters. Based computer vision technology, a dynamic automatic reading value method presented in paper. With hardware loop (HIL) platform simulating actual vehicle running state and providing sensor signals or data via CAN(controller area network) bus for tested dashboard, by comparing input indication obtained through image process method. As core technology method, how read...
FlexRay is a hybrid communication protocol tailored to the requirements of safety‐critical distributed real‐time automotive systems, providing support for transmission time‐critical periodic frames in static segment and event‐triggered dynamic segment. With development intelligence networking vehicles, such systems are becoming increasingly connected external environments; thus, security has become pressing issue system design. However, FlexRay‐based architecture does not have direct secure...
Hollow carbon nanospheres (HCNs) are an ideal nanomaterial for photothermal therapy (PTT) as a result of their low cytotoxicity, excellent conversion performance, unique cavities and porous shells. However, poor...