A5035895311- Insect Utilization and Effects
- Wood Treatment and Properties
- Insect symbiosis and bacterial influences
- Advanced Optical Network Technologies
- Caching and Content Delivery
- Geophysical Methods and Applications
- Material Properties and Processing
- Cloud Computing and Resource Management
- Software-Defined Networks and 5G
- Remote Sensing and LiDAR Applications
- Tree Root and Stability Studies
- IoT and Edge/Fog Computing
- Advanced Cellulose Research Studies
- Insect and Arachnid Ecology and Behavior
- Advanced Wireless Communication Technologies
- Peer-to-Peer Network Technologies
- Insect Pest Control Strategies
- Insect-Plant Interactions and Control
- Image and Video Quality Assessment
- Tree-ring climate responses
- Satellite Communication Systems
- Optical Network Technologies
- Smart Materials for Construction
- Visual Attention and Saliency Detection
- Plant and animal studies
Northeast Forestry University
2019-2025
University of British Columbia
2024
Beijing University of Posts and Telecommunications
2023-2024
Abstract Electromagnetic waves are used in wood inspection and treatment. Three important parameters need to be considered the application of this method, including moisture content (MC), porosity, dielectric constant ( ε ), which affect effectiveness electromagnetic waves, these can interact with each other. This study’ elucidated effect porosity on at different MCs (absolute dry saturated) frequency f ) range 1 Hz–10 7 Hz. The results indicated that needs consider both MC. Relationships...
To understand how ambient temperature affect the gypsy moth larvae, and provide a theoretical basis for pest control in different environments. Fourth instar larvae were incubating 3 hr at 15℃, 20℃, 25℃, 30℃, 35℃, 40℃, respectively. Afterward, digestive antioxidant enzyme activities, total capacity, intestinal microflora community analyzed to reveal caterpillars respond stress. Results showed that both enzymes regulated by temperature. The optimum incubation temperatures of protease,...
Laboratory and field experiments were performed to examine the feasibility of using Time Domain Reflectometry (TDR) monitor moisture content (MC) wood standing trees. The TDR was used detect electromagnetic wave propagation time four tree species (Betula platyphylla, Tilia tuan, Picea asperata, Fraxinus mandshurica) at different MCs. During test, effects probe insertion depths on MC predictive accuracy considered. best results obtained an depth 8 cm. At selective cm depth, a species-specific...
Accurately measuring the moisture content (MC) of square timber is crucial for ensuring quality and performance wood products in processing. Traditional MC detection methods have certain limitations. Therefore, this study developed a one-dimensional convolutional neural network (1D-CNN) model based on first 8 nanoseconds ground-penetrating radar (GPR) signals to predict timber. The found that mixed-species exhibited effective predictive (R2 = 0.9864, RMSE 0.0393) across tree species red...
Abstract To study dietary pH effects on Lymantria dispar asiatica larvae and provide a theoretical basis for its control in different forests, phosphate buffers (PBs) of 6, 7, 8 were used to prepare experimental diets. The diet prepared with 6 PB was named as DPB6, DPB8, 7 DPB7 (control). 5.00 6.05 control, 6.50 DPB8. After feeding the diets values 84 hr, fourth‐instar caterpillars randomly collected. Growth various physiological traits determined 16S recombinant DNA sequencing performed...
We propose an on-demand computing provisioning method in power network with mixed CPU and GPU. Simulation results validate that more tasks can be accommodated by optimizing the usage of heterogeneous resources.
The computing power network (CPN) is expected to realize the efficient provisioning of heterogeneous through collaboration between cloud and edge computing. Heterogeneous resources consist CPU, GPU, other types power. Different applications may have diverse requirements for resources, such as general applications, CPU-intensive GPU-intensive applications. Service providers are concerned about how dynamically provide different in a cost-effective manner, deploy more much possible with limited...
<title>Abstract</title> Electromagnetic waves are gradually used in wood inspection and treatment. Three important parameters need to be considered the application of this method, including moisture content (MC), porosity, dielectric constant (ε), which affect effectiveness electromagnetic waves, these can interact with each other. This study’s objective is elucidate effect mechanism porosity on ε different MCs (absolute dry saturated) frequency(<italic>f</italic>) range 1 Hz-10<sup>7</sup>...
Abstract To address the low accuracy of non-destructive detection moisture content (MC) logs (especially in small diameters) by ground penetrating radar (GPR) signals, MC 10–15 cm diameter spruce, Manchurian ash, and white birch were predicted using time-frequency parameters GPR signals a back-propagation neural network (BPNN) model. B-scan obtained tree on barks discs selected from fresh green logs. Then, 31 optimised least absolute shrinkage selection operator (Lasso) principal component...
This paper proposes a tidal-aware deployment algorithm for RAR-based DMT services in tidal CPN. The performance is evaluated resource sufficient and constrained cases, respectively. Simulation results verify the benefit of reducing 20.6% GPU usage by dynamically partitioning training data allocating resources.
Abstract In the present study, diel pattern in gut microbial communities insects were evaluated. Lymantria dispar asiatica fourth instar larvae (72 ± 2 hr after molting) at noon (LdD) and midnight (LdN) used for a comparative analysis of community. Ten bacterial operational taxonomic units (OTUs) shared between LdD LdN samples. One OTU was specific to LdD. The dominant microbes OTU72 OTU75 LdN. A linear discriminant effect size cladogram suggested that ten OTUs maintain significant...
We propose the concept of RVC to quantify usage efficiency CPU and GPU in CPN. A RVC-based computing provisioning algorithm is then designed for processing video stream services. The can accommodate more services by reducing 4.2% blocking probability through cost-effective provisioning.
We propose a tidal-aware spectrum defragmentation using deep reinforcement learning in elastic optical networks with tidal traffic, which balances reconfiguration times and blocking performance. Simulation results verify the 7% reduction of rate.
Abstract Accurate tree decay detection and quality evaluation at low temperature is a scientific problem. The electric resistance tomography (ERT) stress wave (SWT) are two widely recognized methods for detection, but the influence of ice formation on has not been studied. objective this study to investigate effect cross-section electrical (ER) velocity (SWV) in living trees temperature. Larix gmelinii Populus simonii specimens were conducted moisture content (MC) measurement using time...