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- 저자 : Pang Jihong (검색결과 4 건)
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Jihong Pang 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.7
Forecasting quality of complex products is a major concern for quality engineers and enterprises' decision-makers. But only a few researchers have investigated how multiple linear regression analysis can improve forecasts. This article presents a predictive control model for personalized forecasting system of complex product quality using multiple linear regression analysis. First, this paper compares the performance of personalized forecasting system for product quality which leads to a better understanding of the applicability of the forecasting model. Second, this paper identifies the effect of predictive control model of multiple linear regression analysis on forecasting accuracy. Then, an example shows the feasibility of using predictive control model in complex product quality personalized forecasting. Finally, it makes a conclusion that the approved prediction system embraces superiority over the prediction of the quality factors and manufacturing resources.
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Load Interval Prediction of the Power System based on Type-2 Fuzzy Theory
He Tao,Liang Zhidong,Pang Jihong,Ye Xianquan,Yuan Jinxin 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.2
According to the power load has strong randomness and difficult to forecast, the introduction of the two types of fuzzy logic in order to improve the prediction accuracy. The interval type two non-single valued two type Mamdani fuzzy model for power load time series forecasting, and reverse the spread of a similarity of a singular value decomposition iterative blending algorithm to simplify the redundant rules in the model of fuzzy sets and redundant fuzzy rules, in order to eliminate the adverse effects. For ordinary type-2 fuzzy sets, uncertainty of the trace and once the membership function is the most important factor, therefore in the calculation formula for construction of two kinds of measure when considering these two factors; analysis of the ordinary type-2 fuzzy inclusion degree properties; discussed two kinds of conversion between the new measure of the relationship, revealing its internal relations; finally through an example to verify the performance of the new measure ordinary type-2, and the fuzzy similarity and Yang Shih clustering method combining cluster analysis used in Gauss plain type-2 fuzzy sets, obtained the reasonable clustering results, verify the rationality of the new measure and effectiveness.
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Research on Exploration and Analysis of Supply Chain Flexibility Measure Index
He Tao,Liang Zhidong,Ye Xinquan,Pang Jihong 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11
The supply chain risk assessment and management system has been developed, people still do not determine the way to overcome all these risks, especially for high impact, low probability events, such as SARS and the outbreak of foot-and-mouth disease, or a centralized terrorist attacks. This is because the lack of historical data to make all kinds of prediction and statistical tools fail. The modern supply chain were more vulnerable to risk, supply chain risk mainly comes from many aspects of the internal and external environment, the supply chain industry products background, upstream and downstream supply chain relationship, decision support. In this paper, the establishment of a complete supply chain model with variable structure, through the simulation method for quantitative observation of supply chain flexibility curve, and abstract to describe the elastic curve of a set of parameters; after the design of simulation experiment to observe the different supply chain structure parameters (inventory level, supply chain, supplier selection for number of sources) influence supply chain resilience curve.
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Modeling and Parameter Estimation of Particle Swarm Optimization Algorithm for Smart Power Grid
He Tao,Liang Zhidong,Ye Xinquan,Sun Shufeng,Pang Jihong 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.6
This paper analysis the electric power communication network structure and performance requirements. To investigate the power communication backbone network and network power substation general way, and in electric power communication network delay, error rate, network bandwidth demand were analyzed. The for prevalent in electric power communication network is not a fully meshed network, explore artificially cobweb logic change principle and system method, artificial transform sheet mesh to the standard web, and making use of the cobweb, based on the characteristics of network fast routing. In order to better in the smart grid communication network using artificially cobweb routing algorithm, for the smart grid in the presence of irregular mesh network, this paper presents a kind of the mesh network into logical artificially cobweb network general standardization method. The principle of combination of label switching, this paper presents artificially cobweb source routing algorithm, expounds the artificially cobweb routing algorithm of label switching and label update mechanism, and artificially cobweb routing algorithm balancing routing method and routing method is described in detail.
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