A5101860598- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Cloud Computing and Resource Management
- Meat and Animal Product Quality
- Advanced Data Storage Technologies
- Caching and Content Delivery
- Smart Agriculture and AI
- Remote Sensing and Land Use
- Parallel Computing and Optimization Techniques
- Water Quality Monitoring Technologies
- Advanced Algorithms and Applications
- Water Quality Monitoring and Analysis
- Bamboo properties and applications
- Identification and Quantification in Food
- Graph Theory and Algorithms
- Essential Oils and Antimicrobial Activity
- Plant Disease Management Techniques
- Date Palm Research Studies
- Vehicle Routing Optimization Methods
- Spectroscopy Techniques in Biomedical and Chemical Research
- Ziziphus Jujuba Studies and Applications
- Environmental Quality and Pollution
- Fish Biology and Ecology Studies
- Plant Physiology and Cultivation Studies
- Wood Treatment and Properties
Ningbo University of Technology
2010-2023
Guizhou Normal University
2020
Zhejiang University
2003-2017
Zhejiang University of Science and Technology
2015
Early detection of foliar diseases is vital to the management plant disease, since these pathogens hinder crop productivity worldwide. This research applied hyperspectral imaging (HSI) technology early Magnaporthe oryzae-infected barley leaves at four consecutive infection periods. The averaged spectra were used identify periods samples. Additionally, principal component analysis (PCA), spectral unmixing and angle mapping (SAM) adopted locate lesion sites. results indicated that linear...
Virtualization technology enables multiple virtual machines (VMs) to share a single physical server. Commercial servers increasingly use the nonuniform memory access (NUMA) architecture due its scalable performance. However, VMs running on NUMA server will cause performance overheads such as remote latency and shared microarchitectural resource contention, which makes VM less efficient stable. These are mainly caused by traffic from data-intensive workloads. In this paper, we propose...
Hyperspectral imaging is a non-destructive method for the detection of chilling injury in fruit. However, limitation this technique lacking an appropriate working parameters and feasible discriminating model on-line sorting. This research was aimed to select optimal spectral resolution, scanning speed, classification green jujube based on hyperspectral reflectance imaging. Criminisi algorithm firstly carried out reconstruct specular reflection region images before deriving mean spectra, thus...
Summary Hybrid storage systems that consist of flash‐based solid state drives (SSDs) and traditional disks are now widely used. In hybrid systems, there exists a two‐level cache hierarchy regard dynamic random access memory (DRAM) as the first level SSD second for disk storage. However, this typically uses independent replacement policies each level, which makes resource management inefficient reduces system performance. paper, we propose novel adaptive multi‐level (AMC) algorithm in...
In the cloud service community, providers typically limit component services to perform a specific and limited function maximize versatility of services. However, business needs consumers are often very complex, requiring multiple be combined complete business. process composition, question how find right combination partner is challenging. This paper starts with brief history execution it then analyzes historical information execution. Based on invocation relationship service, community...
To compare lead (Pb) tolerance and accumulation characteristics, 14 herbaceous plants were treated with different concentrations of (0 mg•kg -1 , 500 1000 1500 2000 ) through an indoor pot experiment.Results indicated that the shoot dry weights (DWs), index (TI) root (RTI) decreased increase concentration.After comprehensive evaluation, Campsis grandiflora, Polygonum lapathifolium, Lolium perenne, Poa annua confirmed as tolerant to be cultivated in lead-zinc mining area.Moreover, shoots...
Abstract: An identification method combining sparse representation with principal component analysis (PCA) was proposed for discriminating varieties of transmission fluid automobile by using hyperspectral imaging technology. Principal applied to obtain the characteristic information in 874-1 733 nm spectra. For each variety, 80 samples were randomly selected as training set, and 20 testing set. The eigenvectors all form matrix used representation, problem types classification transformed...
Aiming at resolving the problems of how to route and schedule vehicles in logistics distribution, which has a characteristic large scale scheduling question, spatial decision support system (SDSS) architecture is designed improve efficiency minimize transportation costs for distribution this paper. A three-stage solution framework vehicle routing problem (LSVRP) applied SDSS. Firstly, numbers customers are merged according their space attributes. Secondly, assigned using sweep algorithm....
This research has developed a neural network model based on deep learning, which consists of recognition part and counting part. The is realized by the Fully Convolutional Neural Network (FCN), thecounting NAS-CNN model. Labelme (online labeling tool) was used to manually mark two types targets, remnant bait white prawn, special data set for identification prawn created. Experiments show that FCN achieved excellent results, with training accuracy rate 99%, verification 96.13%. When residual...