54 Result(s)
within
English
Special Purpose and Application-Based Systems
Dong-**ng Wang
Conference Paper
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Chapter and Conference Paper
A Functionality Based Instruction Level Software Power Estimation Model for Embedded RISC Processors
This paper describes a functionality-based instruction-level power analysis model, which aims at reducing workload of computing inter-instruction power and kee** the convenience to observe necessary paramete...
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Chapter and Conference Paper
Planting-Density Optimization Study Fortomato Fruit Set and Yield Based Onfunctional-Structural Model Greenlab
Quantification of tomato's fruit-sets depends on the level of competition for assimilate in different environment, and this paper presented some results of fruit yield and quality (fruit size) in response to e...
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Chapter and Conference Paper
Minimum Variance Energy Allocation for a Solar-Powered Sensor System
Using solar power in wireless sensor networks (WSNs) requires adaptation to a highly varying energy supply. From an application’s perspective, however, it is often preferred to operate at a constant quality le...
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Chapter and Conference Paper
Development and Application of Computer Assisted Breeding System in Rabbit Breeding Farm
In order to meet the requirement of national modern rabbit husbandry and breeding management, based on animal breeding theory and the computer application technology, the Modern Rabbit Management Software that...
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Chapter and Conference Paper
Research and Application of Space-Time Evolution of Soil Fertility Data Mining Based on Visualization
Soil fertility is a comprehensive reflection of soil properties, and its variation has been a central issue in the field of soil science. Most of current research on Variation of the soil fertility are most fo...
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Chapter and Conference Paper
Carbon Dynamics of Pinus Massoniana Plantations Following a Thinning Treatment 5 Years and 10 Years Before
The change of carbon storage in Pinus massoniana plantations after thinning is important to improve the plantation management. The forest biomass distribution, biodiversity, soil respiration, and soil total carbo...
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Chapter and Conference Paper
Comparison of Four Models on Forest above Ground Biomass Estimation Based on Remote Sensing
The estimating of forest biomass can help us to find out the carbon storage of our country, gradually raise the level of carbon emissions constraints, reduce the concentration of the greenhouse gases in the at...
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Chapter and Conference Paper
Optimal Low-Hit-Zone Frequency-Hop** Sequence Set via Cyclotomy
Frequency-hop** sequence set with low Hamming correlation within the fixed zone around the origin is called LHZ FHS set. In the quasi-synchronous frequency-hop** code division multiple access systems, the ...
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Chapter and Conference Paper
A Feature Selection Method Based on Multi-objective Optimisation with Gravitational Search Algorithm
The process of feature selection (FS) is a substantial task that has a significant effect in the performance of a given algorithm. The goal is to choose a subset of available features by eliminating the unnece...
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Chapter and Conference Paper
SmartSwim: An Infrastructure-Free Swimmer Localization System Based on Smartphone Sensors
Many works have focused their attention on the sports activity monitoring and recognition using inherit sensors on the smartphone. However, distinct from many on-the-ground activities, swimming is not only har...
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Chapter and Conference Paper
LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering
The last decade has witnessed a rapid development of the ensemble clustering technique. Despite the great progress that has been made, there are still some challenging problems in the ensemble clustering resea...
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Chapter and Conference Paper
A Hybrid Approach for Recovering Information Propagational Direction
With the rapid development of network technology, people are communicating with each other through a variety of network access, such as computer, mobile phone, tablet, etc., for the sharing of information and ...
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Chapter and Conference Paper
Low-Rank and Sparse Matrix Completion for Recommendation
Recently, recommendation algorithms have been widely used to improve the benefit of businesses and the satisfaction of users in many online platforms. However, most of the existing algorithms generate intermed...
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Chapter and Conference Paper
Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations
The rapid development of Location-based Social Networks (LBSNs) has led to the great demand of personalized Point-of-interests (POIs) recommendation. Although previous researches have presented a variety of me...
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Chapter and Conference Paper
A Scalable FPGA Accelerator for Convolutional Neural Networks
Convolution Neural Networks (CNN) have achieved undisputed success in many practical applications, such as image classification, face detection, and speech recognition. As we all know, FPGA-based CNN predictio...
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Chapter and Conference Paper
A Research of Network Applications Classification Based on Deep Learning
Nowadays, the huge traffic generated by a growing number of network applications occupies enormous network bandwidth and increases the burden of network management. The ability to identify and categorize netwo...
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Chapter and Conference Paper
Shortest Paths in HSI Space for Color Texture Classification
Color texture representation is an important step in the task of texture classification. Shortest paths was used to extract color texture features from RGB and HSV color spaces. In this paper, we propose to us...
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Chapter and Conference Paper
A Novel Anomaly Detection Algorithm Based on Trident Tree
In this paper, we propose a novel anomaly detection algorithm, named T-Forest, which is implemented by multiple trident trees (T-trees). Each T-tree is constructed recursively by isolating the data outside of 3 s...
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Chapter and Conference Paper
Over-Sampling Algorithm Based on VAE in Imbalanced Classification
The imbalanced classification problem is a problem that violates the assumption of uniform distribution of samples, classes differ in sample size, sample distribution and misclassification cost. The traditiona...
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Chapter and Conference Paper
An Improved Measurement of the Imbalanced Dataset
Imbalanced classification is a classification problem that violates the assumption of uniform distribution of samples. In such problems, traditional imbalanced datasets are measured in terms of the imbalance o...
