A5028520338- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Network Security and Intrusion Detection
- Impact of Light on Environment and Health
- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Wireless Sensor Networks and IoT
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Computer Graphics and Visualization Techniques
- Multimodal Machine Learning Applications
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Robotics and Sensor-Based Localization
- Advanced Steganography and Watermarking Techniques
- Energy Efficient Wireless Sensor Networks
- Simulation and Modeling Applications
- Microwave Engineering and Waveguides
- Ophthalmology and Visual Impairment Studies
- Visual perception and processing mechanisms
- Iron and Steelmaking Processes
- Medical Image Segmentation Techniques
- Radiative Heat Transfer Studies
- Advanced Decision-Making Techniques
- Air Quality Monitoring and Forecasting
Changchun University of Science and Technology
2016-2025
Yunnan Agricultural University
2024
Xian Yang Central Hospital
2024
Qufu Normal University
2009-2024
Institute of Optics and Electronics, Chinese Academy of Sciences
2019-2023
China Academy of Building Research
2008-2023
Chinese Academy of Sciences
2021-2023
Xi'an Aeronautical University
2023
Northeast Electric Power University
2022
University of Chinese Academy of Sciences
2021-2022
Abstract Biodegradable porous Mg scaffolds are a promising approach to bone repair. In this work, 3D-spherical Mg–1.5Zn–0.2Ca (wt.%) were prepared by vacuum infiltration casting technology, and MgF 2 fluorapatite coatings designed control the degradation behavior of Mg-based scaffolds. The results showed that pores in composed main spherical (450–600 μm) interconnected (150–200 μm), porosity was up 74.97%. exhibited sufficient mechanical properties with compressive yield strength about 4.04...
PM2.5 concentration predictions can provide air pollution control, management, and early warning. However, the data with high-dimensionality, complexity, dynamics pose a great challenge to achieve optimal prediction results. Convolutional Neural Networks (CNNs) has unique advantages in processing complex contributes state-of-the-art performances. designing architecture selecting learning rate for CNN are time-consuming requires prior knowledge. Evolutionary algorithms, of global convergence,...
Daylight represents a free source of illumination building's internal spaces. Tubular daylight devices (TDDs) are simple means directing (diffuse and direct light) into interior spaces underground Many predict models TDDs have been developed during the past years, but most them were established based on only few experiment results with no generality. In this paper, new mathematic model basis coefficient method for TDDs' light transfer characteristic was presented, which makes it feasible to...
The formation of root system architecture (RSA) plays a crucial role in plant growth. OsDRO1 is known to have function controlling RSA rice, however, the potato StDRO2, homolog rice OsDRO1, growth remains unclear. In this study, we obtained dro2 mutant lines by Clustered Regularly Interspaced Short Palindromic Repeats-CRISPR-Associated 9 (CRISPR/Cas9)-mediated genome editing system. were generated from splicing defect StDRO2 intron 1, which causes nonsense mutation StDRO2. Furthermore,...
The automatic classification of point interest (POI) function types based on POI name texts and intelligent computing can provide convenience in travel recommendations, map information queries, urban divisions, other services. However, belong to short texts, which few characters sparse features. Therefore, it is difficult guarantee the feature learning ability effect model when distinguishing types. This paper proposes a method extension deep establish short-text model. We utilize an...
Sky-luminance distribution is the basic requirement for daylighting calculations and design. It also important describing defining different sky types. However, owing to lack of test equipment measurement data, research on sky-luminance in China has been limited. Therefore, first time, we have obtained data using our self-developed spectrum scanner from observations over 12 months. Furthermore, established a relationship between actual types Beijing Commission Internationale de l'Eclairage...
A digital image watermarking algorithm based on fast curvelet transform is proposed. Firstly, the carrier decomposed by transform, and, scrambled Arnold transform. Secondly, binary embedded into medium frequency coefficients according to human visual characteristics and coefficients. Experiment results show that proposed has good performance in both invisibility security also robustness against noise, cropping, filtering, JPEG compression other attacks.
Abstract A compact high‐gain filtering patch antenna with harmonic suppression characteristic is proposed. The mainly contains a coupled transmission line and central rectangular patch. capacitive coupling between the generates radiating null at high frequencies. Then, acrossing hybrid principle, structure of microstrip‐to‐slotline transition builds two paths, which generate low In addition, vertical slots are carved into center to truncate lateral current. That removes higher order resonant...
In order to relieve the problem of unbalanced energy consumption sensor nodes near base station in wireless network, this paper proposes a mobile multi-sink path planning algorithm with balance (hexHPSO). An optimization model is established by considering each group, network lifetime, and movement sink nodes. Meanwhile, hybrid positive negative particle swarm (HPNPSOA) proposed solve obtain optimal grid traversal parking position. Compared DOSM algorithm, GLRM RWM hexHPSO improves lifetime...
Light adaptation is very important to keep the visual system acutely sensitive scene content over a wide range of illumination, and has strong influence on brightness perception, performance glare evaluation. The estimation method for light state under real circumstances big pending topic lighting industry. discovery Intrinsically Photosensitive Retinal Ganglion Cells (ipRGCs) offered us an exciting entry point comprehend how regulated. In this paper, we made comprehensive thorough analysis...
In this article, a data-driven model based on the incremental deep extreme learning machine (IDELM) algorithm is proposed to predict temperature distribution in furnace. To end, computational fluid dynamics (CFD) simulations are carried out first get distributions under typical working conditions. Based air mode, simulation results divided into six subclasses. Then K-means clustering method applied find benchmark condition of each subclass. Moreover, random sampling used extract samples...
The pupillary light reflex, which has been seen as an important noninvasive and objective indicator of autonomic nervous system function, can be used for evaluating the impact different lighting conditions in buildings on circadian behaviors, assessing ipRGC function healthy diseased retinas, explaining luminance adaptation. However, mechanism by intrinsic extrinsic signals ipRGCs regulate steady-state pupil size under continuous stimuli is still not clearly understood after decades...
Clustering by fast search and find of density peak (CFSFDP) is a simple crisp density-clustering algorithm. The original algorithm not suitable for direct application to anomaly detection. Its clustering results have high level redundant information. If used directly as behavior profiles, the computation storage costs detection are high. Therefore, an improved based on CFSFDP proposed uses few data points their radius support deletes without supporting profiles. This method only reduces...