A5101960250- Acoustic Wave Resonator Technologies
- Energy Efficient Wireless Sensor Networks
- Industrial Vision Systems and Defect Detection
- Advanced Image Fusion Techniques
- Mechanical and Optical Resonators
- Manufacturing Process and Optimization
- Advanced MEMS and NEMS Technologies
- Advanced Measurement and Detection Methods
- Indoor and Outdoor Localization Technologies
- Gear and Bearing Dynamics Analysis
- Advanced Neural Network Applications
- Infrastructure Maintenance and Monitoring
- Advanced Algorithms and Applications
- Machine Fault Diagnosis Techniques
- Water resources management and optimization
- Remote Sensing and Land Use
- Ultrasonics and Acoustic Wave Propagation
- Water-Energy-Food Nexus Studies
- Spectroscopy and Laser Applications
- Electronic Packaging and Soldering Technologies
- Advanced Sensor and Control Systems
- Flexible and Reconfigurable Manufacturing Systems
- Anomaly Detection Techniques and Applications
- Advanced Sensor Technologies Research
- Autonomous Vehicle Technology and Safety
Binghamton University
2021-2025
Chinatex Posts and Telecommunications Consulting and Design Institute (China)
2024-2025
Shanghai University of Engineering Science
2015-2025
Dalian Jiaotong University
2024
Anhui University
2018-2024
Shanghai International Studies University
2023
Chongqing Normal University
2021
University of Shanghai for Science and Technology
2010-2021
LINKS Foundation
2020
Shanghai Power Equipment Research Institute
2020
Abstract The water-short adjacent basins of the Huang (Yellow), Huai and Hai Rivers in North China contain most China's farmland. This study evaluates water vulnerability there as a function sensitivity to climate change, people per unit flow, use-to-availability ratio, capita use. Three scenarios for 2030 are considered: (1) change without socio-economic changes; (2) changes change; (3) both changes. Results show increases already precarious vulnerability, especially river basin. Keywords:...
Purpose – The purpose of this paper is to examine the quality voluntary intellectual capital (IC) by universities in New Zealand, Australia, and UK. Design/methodology/approach An IC framework was developed measure reporting university sector. Content analysis used analyse 2011 annual reports before a three-year comparative 90 (eight Zealand universities, 38 Australian 44 UK universities) undertaken. Findings outperformed terms disclosures. Additionally, study found moderate increases levels...
Product quality inspection is a crucial element of industrial manufacturing, yet flaws such as blemishes and stains frequently emerge after the product completed. Most research has utilized detection models avoided segmenting networks due to unequal distribution faulty information. To overcome this challenge, work presents rapid segmentation-based technique for surface defect detection. The proposed model based on modified U-Net, which introduces hybrid residual module (SAFM), combining an...
In industry, defect detection involves two kinds of tasks: classification and location, which make it difficult to ensure the accuracy both, also task still challenging in practical application. Based on analysis advantages disadvantages current method, this paper proposes a method based attention mechanism multi-scale maxpooling (MSMP). order effectively improve model, we use Resnet50 as pre-training network construct two-stage model is used be baseline network, introduce MSMP module basis....
In industry, the task of defect classification and localization is an important part detection system. However, existing studies only focus on one it difficult to ensure accuracy both tasks. This paper proposes a system based improved Yolo_v4, which greatly improves ability minor defects. For K_Means algorithm clustering prianchors question with strong subjectivity, Density Based Spatial Clustering Applications Noise (DBSCAN) determine number Anchors. To solve problem low rate small targets...
In this paper, we present an intruder detection system that uses a wireless sensor network and mobile robots. The unsupervised fuzzy Adaptive Resonance Theory (ART) neural to learn detect intruders in previously unknown environment. Upon the of intruder, robot travels position where is detected investigate. hierarchical communication/learning structure, root node tree. Our ART based on Kulakov Davcev’s implementation [6]. We enhanced time-series time-related changes using Markov model....
Lane detection is a challenging problem. It has attracted the attention of computer vision community for several decades. Essentially, lane multifeature problem that become real challenge and machine learning techniques. Although many methods are used detection, they mainly classification rather than feature design. But modern can be to identify features rich in recognition have achieved success tests. However, these not been fully implemented efficiency accuracy detection. In this paper, we...
We have developed a novel method to estimate missing observations in wireless sensor networks. use hierarchical unsupervised fuzzy ART neural network represent the data cluster prototypes. then inputs by using new spatial-temporal imputation technique. evaluated this approach through experiments on both real and artificially generated data. Our experimental results show that our proposed performs better than nine other estimation algorithms including moving average Expectation-Maximization...
Abstract Rolling bearing is an indispensable part of the contemporary industrial system, and its working conditions affect state entire system. Therefore, there great engineering value to researching improving fault diagnosis technology rolling bearings. However, with involvement whole mechanical equipment, we need have a large quantity data support accuracy diagnosis, while efficiency classical machine learning algorithms poor in processing big data, huge amount computing resources...
The dynamic job-shop scheduling problem is a complex and uncertain task that involves optimizing production planning resource allocation in environment. Traditional methods are limited effectively handling events quickly generating solutions; order to solve this problem, paper proposes solution by transforming the into Markov decision process leveraging deep reinforcement learning techniques. proposed framework introduces several innovative components, which make full use of human domain...
In this work, double dispersant‐assisted ionic liquid dispersive liquid–liquid microextraction coupled with micellar electrokinetic chromatography was developed to determine four UV filters (benzophenone, 4‐hydroxybenzophenone, 2,4‐dihydroxybenzophenone, and 2‐hydroxy‐4‐methoxybenzophenone). 1‐Hexyl‐3‐methylimidazolium hexafluorophosphate used as the extraction solvent. The main novelty of present work that acetonitrile‐Triton X‐114 disperser Parameters affected efficiency were investigated...
Purpose This paper aims to review the effects of home regulatory institutions on outward foreign direct investment (OFDI) in context China and discuss extent which they can be extended other emerging markets. The authors especially compare these empirical studies with theoretical discussions each category, identify research gaps suggest future ideas. Practical implications are discussed. Design/methodology/approach It focuses specifically three categories institutions, including overall...