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Criteria for Generalized Strictly Diagonally Dominant Matrix
In this paper, a set of generalized strictly diagonally dominant matrix are discussed. We give some sufficient conditions for generalized strictly diagonally dominant matrices based on the theorem of Á-diagonally dominant matrix. Finally, two numerical ...
An Ensemble Technique to Daily Rainfall Forecasting Based on SSA
In this paper, we have proposed a constructive methodology for temporal data learning supported by results and prescriptions related to the embedding theorem, and using the singular spectrum analysis both in order to reduce the effects of the possible ...
Modeling and Simulation of C2 Systems Based on Entity Relationship
Modeling and simulation is recognized as a useful way to evaluate the effectiveness of command and control (C2) systems whereas the modeling of C2 systems is rather difficult. In order to model C2 systems, an entity relationship based method is raised. ...
An Novel Effective Simulation Method of Star Atlas for Star Identification
In order to further improve the attitude control accuracy of the spacecraft and analysis the star identification algorithm, an effective simulation method of star atlas is proposed. This approach utilizes the same field of view in different latitude to ...
On a Computational Method for Impact of Compressible Fluid
The initial stage of a compressible liquid jet impact onto an elastic plate is considered in the paper. A numerical model is built and the wave governing equation is approximated by a doubly asymptotic method. Theoretical solution at the impact instant ...
An Improved EEMD-based Framework for CPI Forecasting
Although the Empirical Mode Decomposition (EMD)-based decomposition and ensemble framework for time series forecasting has been widely used, the end effect of EMD has not been addressed adequately. This study proposed to incorporate Mirror Method (MM), ...
Wind Park Power Forecasting Models and Comparison
In this paper, four new forecasting models C univariate LS-SVM model and three hybrid models of ARIMA and LS-SVM models are introduced for wind power output forecasting. Historical data of 78 wind farms are used to compare and evaluate the performance ...
Analysis of Students' Employability Self-efficacy and Entrepreneurial Career Intention: Using Labor Market Information as a Mediator Variable
- Chun-Mei Chou,
- Chien-Hua Shen,
- Hsi-Chi Hsiao,
- Hui-Tzu Chang,
- Ying-Jung Chen,
- Wan-Hsuan Lee,
- Su-Chang Chen,
- Chen Chin-pin,
- Jen-Chia Chang,
- Shih-Hsien Chuang
The Reflexive Optimal Approximation Solution of Matrix Equation AXB + CYD = E
This paper investigates the matrix nearness problem associated with the matrix equation AXB+XYD=E over reflexive (anti-reflexive) matrices. The problem is a 3-step optimization problem. Firstly, the matrices X and Y were defined as reflexive (anti-...
A New Algorithm for Solving the Equation X + A*X-1A = I
In this paper, we investigate the existence of positive definite solutions for the matrix equation X+A*X-1A=I. A new inversion free variant of the basic fixed point iteration method for obtaining the maximal positive definite solution is established. ...
An Adaptive Regularization Method for Ill-conditioned Problem
In order to solve ill-conditioned problem more efficiently, a new method called Adaptive Regularization Method based on Normal Operator(ARMNO) is proposed. By analyzing weakness of the existing adaptive regularization method, we gave a new ...
De Novo Peptide Sequencing Based on Vertex Contraction Algorithm
De novo peptide sequencing is an important method for peptide sequencing and protein identification. It can be transformed into a special case of paths avoiding forbidden pairs problem (PAFP). General PAFP is NP-complete. The definition of PAFP is the ...
Simplification Algorithm for General Meshes
A new mesh simplification framework based on the ®simplex collapse', which can produce approximations of simplified complexes of any type of meshes embedded in three dimensional Euclidean spaces, such as triangular meshes, quadrangular meshes, ...
Information Based Model Selection Criterion for Binary Response Generalized Linear Mixed Models
Conditional Akaike information criterion is derived within the framework of conditional-likelihood-based method for binary response generalized linear mixed models. The criterion essentially is the asymptotically unbiased estimator of conditional Akaike ...
Statistical Inference on Progressive Type-II Censored Data from Extreme-value Distribution
We conduct statistical inference on data collected from extreme-value distribution under a progressive Type-II censoring scheme in this paper. By converting the extreme-value model into a Wei bull model, the computation of the maximum likelihood ...
A Coordinated Dynamic Positioning Control Algorithm Based on Active Disturbance Rejection Control
The problem of coordinated dynamic positioning for multiple vessels in the presence of uncertainties and unknown exogenous disturbances is considered. A robust coordinated positioning control algorithm based on the active disturbance rejection control ...
GPU Accelerated Wavelet Transform Profilometry
Huge workload and time-consuming of the phase computation based on the Wavelet Transform Profilometry (WTP) so that not meet real-time three-dimensional (3D) measurement needs. Fortunately the pixels which in situ need to be processed and the already ...
A New Class of Cooperative Fuzzy Games on Choquet Integral
In the paper, we make a study of cooperative fuzzy games with infinite players and with fuzzy coalitions, which admit the representation of rates of players' participation to each coalition. We propose a natural class of fuzzy games with Choquet ...
The Optimal Portfolio Model Based on Mean-CvaR with Linear Weighted Sum Method
This paper proposed the optimal portfolio model maximizing returns and minimizing the risk expressed as CvaR under the assumption that the portfolio return subjects to heavy tail. With linear weighted sum method, we solved the multi-objectives model, ...
The Credit Evaluation System for Marketers of Online Group Buying
Online group buying (OGB) has a rapid development as a new kind of consumption pattern after it has been introduced to China. However, after the appearance of a series of consumer fraud cases, consumers' confidence in group buying websites has massively ...
Ordering Strategy for Retail Companies under the Option Contract of Supply
This paper studies the ordering strategy for retail companies in the two-stage supply chain for perishable products consisting of a retailer and a risk-neutral supplier under option contracts. Through building the total profit model and the retailer ...
Strategies for Reducing Collaboration Disruption Risk between Logistics
Collaboration between logistics provider and manufacturer is the necessary condition to improve the overall competitiveness of a supply chain. However, collaboration disrupts from time to time due to poor weather, natural and man-made disasters, or a ...
Volatility of Stock Yield Based on ARCH Model
The yield and volatility of shanghai A stock market is studied based on ARCH model in this paper. Moreover, analysis about the volatility of China stock market has been make to clarify the tendency and the features of the China stock market, which is ...
Approximating the Minimum Distribution of Two Normally Distributed Variables Each with the Same Mean and Variance
Several integrals impose excessive computational burden in the solution of the minimum distribution of two normally distributed variables each with the same mean and variance. To overcome the inefficiency, this paper first investigates the probability ...
The KPI-based Interface Design of Hull Block Fabrication Process Optimization System
Hull block fabrication management information system has been widely used in the enterprises at present. However, due to the complex and tedious process, it is inconvenient for the staff to operate the management information system. In this paper, we ...
Index Terms
- Proceedings of the 2012 Fifth International Joint Conference on Computational Sciences and Optimization