37 Result(s)
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Article
Computing camera parameters using vanishing-line information from a rectangular parallelepiped
A new approach to camera calibration using vanishing line information for three-dimensional computer vision is proposed. Calibrated parameters include the orientation, the position, the focal length, and the i...
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Article
VASS—A VLSI array system synthesizer
This paper presents a computer-aided design environment called VASS, which assists the VLSI array design. It applies a systematic methodology to synthesize a competitive array system from a behavioral descript...
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Chapter and Conference Paper
New Operators for Faster Convergence and Better Solution Quality in Modified Genetic Algorithm
The aim of this paper is to study two new forms of genetic operators: duplication and fabrication. Duplication is a reproduce procedure that will reproduce the best fit chromosome from the elite base. The intr...
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Chapter and Conference Paper
Evolving Case-Based Reasoning with Genetic Algorithm in Wholesaler’s Returning Book Forecasting
In this paper, a hybrid system is developed by evolving Case-Based Reasoning (CBR) with Genetic Algorithm (GA) for reverse sales forecasting of returning books. CBR systems have been successfully applied in se...
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Chapter and Conference Paper
Fuzzy Back-Propagation Network for PCB Sales Forecasting
Reliable prediction of sales can improve the quality of business strategy. In this research, fuzzy logic and artificial neural network are integrated into the fuzzy back-propagation network (FBPN) for printed ...
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Chapter and Conference Paper
Mining Sequential Patterns in Large Datasets
A novel algorithm FFSPAN (Fast Frequent Sequential Pattern mining algorithm) is proposed in this paper. FFSPAN mines all the frequent sequential patterns in large datasets, and solves the problem of searching fre...
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Chapter and Conference Paper
Synthesizing Variational Direction and Scale Texture on Planar Region
Traditional 2D texture synthesis methods mainly focus on seamlessly generating a big size texture, with coherent texture direction and homogeneous texture scale, from an input sample. This paper presents a met...
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Chapter and Conference Paper
Combining SOM and GA-CBR for Flow Time Prediction in Semiconductor Manufacturing Factory
Flow time of semiconductor manufacturing factory is highly related to the shop floor status; however, the processes are highly complicated and involve more than hundred of production steps. Therefore, a simula...
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Chapter and Conference Paper
Hybrid Self-Organizing Map and Neural Network Clustering Analysis for Technology Professionals Turnover Rate Forecasting
This research applies clustering analysis technology of data mining to predict trend of the Technology Professionals turnover rate, including SOM (Self-Organizing Map) combined with Artificial Neural Network c...
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Chapter and Conference Paper
An Image-Aided Diagnosis System for Dementia Classification Based on Multiple Features and Self-Organizing Map
Mild cognitive impairment (MCI) is considered as a transitional stage between normal aging and dementia. MCI has a high risk to convert into Alzheimer’s disease (AD). In the related research, the volumetric an...
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Chapter and Conference Paper
Grid-Based Retargeting with Transformation Consistency Smoothing
Effective and Efficient retargeting are critical to improve user browsing experiences in mobile devices. One important issue in previous works lies in their semantic gap in modeling user focuses and intensions...
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Article
Gene selection using independent variable group analysis for tumor classification
Microarrays are capable of detecting the expression levels of thousands of genes simultaneously. So, gene expression data from DNA microarray are characterized by many measured variables (genes) on only a few ...
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Chapter and Conference Paper
Plant Classification Based on Multilinear Independent Component Analysis
Plant classification is very important and necessary with respect to agricultural informization, ecological protection and plant automatic classification system. In this paper, we present a multilinear indepen...
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Article
Parameter optimization of etching process for a LGP stamper
This study proposes a two-stage system to optimize the etching process parameter for making a light guide plate (LGP) stamper. The multi-quality characteristics of the parameter settings include depth and unif...
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Article
Parallelization of Connected-Component Labeling on TILE64 Many-Core Platform
Many-core technology is considering as a key to improve the performance of recent computer systems. To obtain good performance for a many-core system, exploiting parallelism in arithmetic level is not enough a...
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Chapter and Conference Paper
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems
The open nature of recommender systems makes them vulnerable to shilling attacks. Biased ratings are introduced in order to affect recommendations, have been shown to cause great harm to collaborative filterin...
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Chapter and Conference Paper
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization
Personalized recommendation system (PRS) is an effective tool to automatically extract meaningful information from the big data of the users. Collaborative filtering is one of the most widely used personalized...
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Chapter and Conference Paper
Joint Visualization of UKF Tractography Data
Tractography methods provide ways to explore white mater in brain. UKF Tractography is a promising one in processing cross fibers and edema regions. In order to get more insight into UKF tractography, we prese...
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Article
An experimental comparison of superpixels detection methods for contour detection
Recently, many superpixels detection methods have been proposed and used in various applications. We are interested in which method is more suitable for the application of contour detection. In this paper, sup...
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Article
Video Super-resolution using Edge-based Optical Flow and Intensity Prediction
Full-image based motion prediction is widely used in video super-resolution (VSR) that results outstanding outputs with arbitrary scenes but costs huge time complexity. In this paper, we propose an edge-based ...
