56 Result(s)
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Chapter and Conference Paper
Study on Spatial Scale Transformation Method of MODIS NDVI and NOAA NDVI in Inner Mongolia Grassland
Based on MODIS NDVI and NOAA NDVI datum, covering the primary grassland types of Inner Mongolian in growing seasons from 2000 to 2003, this paper analyzes annual variation rule of the relationship between MODI...
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Chapter and Conference Paper
Analysis on Dynamic Characteristics of Landscape Patterns in Hailer and around Areas
This paper analyzed the spatial-temporal dynamic changes of landscape patterns in Hailer and around areas. Firstly, landscape patterns types of research area were divided into water, sand, farmland, city and g...
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Chapter and Conference Paper
Power-Aware DBMS: Potential and Challenges
Energy consumption has become a first-class optimization goal in computing system design and implementation. Database systems, being a major consumer of computing resources (thus energy) in modern data centers...
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Chapter and Conference Paper
Current Situation and Prospect of Grassland Management Decision Support Systems in China
China, with wide grassland areas of the second rank throughout the world, is faced with a severe challenge on how to manage its vast and degenerating/degenerated grassland. Computer and network technologies ar...
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Chapter and Conference Paper
Research on Assembly Line Modeling and Simulation Optimization
In this paper, assembly line is discussed with plant simulation. Firstly, the method of assembly line modeling is proposed. Secondly, assembly line simulation optimization is researched. Finally, assembly line...
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Chapter and Conference Paper
Directional Discriminant Analysis for Image Feature Extraction
A novel subspace learning algorithm based on nearest feature line and directional derivative gradient is proposed in this paper. The proposed algorithm combines neighborhood discriminant nearest feature line a...
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Chapter and Conference Paper
Genetic Generalized Discriminant Analysis and Its Applications
In this paper, a novel Genetic Generalized Discriminant Analysis (GGDA) is proposed. GGDA is a generalized version of Exponential Discriminant Analysis (EDA). EDA algorithm is equivalent to map the samples to ...
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Chapter and Conference Paper
Lexical Semantic Constraints on the Syntactic Realization of Semantic Role Theme
When mapped to syntactic elements, semantic roles are constrained by lexical semantic categories of words that assume the semantic roles. Based on a large-scale tagged corpus, this paper takes the semantic rol...
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Chapter and Conference Paper
Robust Adaptive Control for Robotic Systems with Guaranteed Parameter Estimation
In this paper, we propose a novel adaptive control scheme for robotic systems by incorporating the parameter error into the adaptive law. By carrying out filter operations, the robotic system is linearly param...
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Chapter and Conference Paper
Dynamic Power-Aware Disk Storage Management in Database Servers
Energy consumption has become a first-class optimization goal in design and implementation of data-intensive computing systems. This is particularly true in the design of database management system (DBMS), whi...
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Chapter and Conference Paper
Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues
Chronic kidney disease (CKD) affects about 10 % of the population worldwide. Millions of people die prematurely from CKD each year. Dietary restrictions can slow the progression of CKD and improve outcomes. In...
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Chapter and Conference Paper
Fingertip in the Eye: An Attention-Based Method for Real-Time Hand Tracking and Fingertip Detection in Egocentric Videos
The hand and fingertip tracking is the crucial part in the egocentric vision interaction, and it remains a challenging problem due to various factors like dynamic environment and hand deformation. We propose a...
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Chapter and Conference Paper
Wind Disturbance Rejection in Position Control of Unmanned Helicopter by Nonlinear Dam**
This paper presents a new design of a Lyapunov-redesigned control system for large horizontal wind disturbance rejection on a small-scale unmanned autonomous helicopter (UAH). In this paper, the wind disturban...
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Chapter and Conference Paper
Cascade Spatial Autoregression for Air Pollution Prediction
Recent years have witnessed a growing interest in air quality prediction and a variety of predictions models have been applied for this task. However, all of these models only use local attributes of each sit...
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Chapter and Conference Paper
An Automatic Shoeprint Retrieval Method Using Neural Codes for Commercial Shoeprint Scanners
In this paper, an automatic shoeprint retrieval method used in forensic science is proposed. The proposed method extracts shoeprint features using recently reported descriptor called neural code. The first ste...
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Chapter and Conference Paper
A Study on a Novel Application of Eye Tracking Technology in Product Customization
In the context of industry 4.0, personalized customization of products will be an important part of intelligent manufacturing. In a market competition, improving customer satisfaction is important to enhance t...
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Chapter and Conference Paper
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it’s still very challenging for translation tasks that require high quality, especially at...
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Chapter and Conference Paper
Research on OFDM Carrier Synchronization
OFDM technology is the simultaneous transmission of signals in multiple overlap** channels. In order to correctly receive, the orthogonality of subcarriers must be ensured strictly. However, due to Doppler f...
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Chapter and Conference Paper
A Modified Teaching and Learning Based Optimization Algorithm and Application in Deep Neural Networks Optimization for Electro-Discharge Machining
In order to improve the output precision of depth neural networks, an improved teaching and learning optimization algorithm is proposed to optimize the weights and thresholds of depth neural networks. The algo...
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Chapter and Conference Paper
Automatic Liver and Tumor Segmentation of CT Based on Cascaded U-Net
Automatic segmentation of liver and tumor plays a crucial role in medical-aided diagnosis. At present, neural networks have been widely used in medical image processing. There are many FCN-based methods used f...
