scholarly journals Sports Event Level Measurement Indicator System Using Multisensor Information Fusion

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Weiwei Yu ◽  
Jinming Xing
Keyword(s):  
Bayesian Estimation ◽  
Information Fusion ◽  
Index System ◽  
Simulated Annealing Algorithm ◽  
Indicator System ◽  
Coverage Rate ◽  
Alternative Measure ◽  
Level Measurement ◽  
Multisensor Information Fusion ◽  
Measurement Index

In view of the imperfection of the measurement index of the level of sports events, the coverage rate of the measurement index is low and the stability is poor. Therefore, this paper puts forward a sports event level measurement index system based on multisensor information fusion. First, the simulated annealing algorithm is used to cluster the grouped sensors and fuse the optimal Bayesian estimation of compatible sensors. Second, the relative entropy measure method is used to expand the compatibility measure of the sensor information in the group, and the optimal Bayesian estimation value of the consistent measure test is obtained. The outliers are eliminated, the optimal fusion value is obtained by the overall weighted statistical fusion, and the alternative measure index system is constructed. Finally, analytic hierarchy process (AHP) is used to calculate the weight of each alternative index, so as to achieve the final measurement index. The results show that the standard deviation of clustering average energy consumption is low, and the energy loss is small. The system can effectively construct the measurement index, and the index coverage rate is as high as 95%.

scholarly journals Measuring Risks of Confirming Warehouse Financing from the Third Party Logistics Perspective

2019 ◽  
Vol 11 (23) ◽  
pp. 6573 ◽  
Author(s):  
Zhixin Wang ◽  
Yue Wang
Keyword(s):  
Supply Chain ◽  
Index System ◽  
Indicator System ◽  
Risk Measurement ◽  
Third Party ◽  
Third Party Logistics ◽  
Prediction Ability ◽  
Supply Chain Finance ◽  
Measurement Index System ◽  
Measurement Index

Confirmation warehouse financing is an important model in supply chain finance. This type of financing has special characteristics due to the existence of the reverse repurchase link, and it increases the risk commitment of the core enterprise at a certain level. Previous research on supply chain financial risk mostly settled in ‘all-industry, multi-model’, ignoring the special risks of single mode. To supplement the vacancies in the current research, the special risks of supply chain finance should be identified under a single model. On this basis, a measurement index system for confirmation warehouse financing risk is created. The article uses a Back Propagation (BP) neural network to build a Third Party Logistics (3PL) perspective of the risk measurement model for confirmation warehouse financing. The said network is combined with the 24 sets of actual cases from ZY Logistics. MATLAB is used to train the sample data. Results show that the absolute errors—0.042998, −0.011102, 0.020514 and 0.039448—between the training value and the predicted value are smaller than the preset error value. Among the 24 cases, high-risk businesses reached 41.7%, whereas low-risk businesses only accounted for 29.2%. The ZY enterprise confirms that warehouse financial business risk is high, and this situation should be revised. Research shows that the risk measurement indicator system has good risk prediction ability. This study establishes and verifies the rationality of the risk measurement index system and provides a reliable reference for 3PL risk aversion in supply chain finance.

Online Decision Support Index System Suite for Limiting Short Circuit Current

2013 ◽  
Vol 860-863 ◽  
pp. 1857-1861
Author(s):  
Li Wen Wang ◽  
Bi Qiang Tang ◽  
Ling Ling Pan ◽  
Fei Shi ◽  
Jun Liu
Keyword(s):  
Decision Support ◽  
Index System ◽  
Short Circuit ◽  
Power Grid ◽  
Short Circuit Current ◽  
Indicator System ◽  
Current Level ◽  
System Operation ◽  
On Line ◽  
The Index System

Topology adjustment is a main measure to limit short circuit current, but changes of power grid structure might bring deep impact on power system operation. Measures to limit short circuit current are difficult to apply online due to unable to completely evaluate its safety and feasibility. This paper presents an on-line decision support indicator system, which applied to evaluate online short circuit current level of power grid. Based on practical power grid model and typical cross-section, short circuit current level under the current and future maintenance mode is analyzed, decision support to limit short circuit current is given, and the effectiveness and feasibility of limiting measures are evaluated. Analysis results show that the index system is reasonable.

Research on Evaluation Index System for Green Manufacturing Based on PSR Model and Life Cycle

2010 ◽  
Vol 34-35 ◽  
pp. 79-84 ◽  
Author(s):  
Qing Song Wang ◽  
Xue Liang Yuan ◽  
Da Yong Cao ◽  
Chun Yuan Ma ◽  
Kai Zhang
Keyword(s):  
Life Cycle ◽  
Index System ◽  
Green Manufacturing ◽  
Indicator System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Research On Evaluation ◽  
Life Cycle Theory ◽  
Rapid Economic Growth ◽  
Environmental Attributes

Green manufacturing is the important manufacturing pattern to achieve sustainable development. The core is to reduce the damage on the environment and to realize sustained rapid economic growth. The Paper establishes evaluation index system of green manufacturing using life cycle theory and the “pressure - state – response” model. The index system is the 3-tier indicator system, a total of 39 sub-indicators, including 17 environmental attributes index, 8 energy property index, 7 resource properties index and 7 economic attributes index.

Study on Capabilities of Hydropower Development Project

2012 ◽  
Vol 212-213 ◽  
pp. 1004-1008
Author(s):  
Jia Ning Wang ◽  
Wen Zhe Tang ◽  
Yu Xuan Li ◽  
Yong Mei Shen
Keyword(s):  
Index System ◽  
Performance Indicator ◽  
Organizational Capacity ◽  
Indicator System ◽  
Project Performance ◽  
Development Project ◽  
Competence Model ◽  
Hydropower Development ◽  
Capability Index ◽  
Constituent Elements

The competence model is commonly used for study of an enterprise’s capabilities related to performance in the specific background. However, there is no analysis on capability index system and project performance indicator system of owners as large hydropower development enterprises in the former studies on the competence-based organizational capacity. In this paper, the owner’s capability index system related to the performance is put forth by studying the capability factors of a large hydropower development enterprise, and verified in our analyses on them. So, the constituent elements of the owner’s capability can be revealed.

scholarly journals Construction of Credit Evaluation Index System for Two-Stage Bayesian Discrimination: An Empirical Analysis of Small Chinese Enterprises

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zhanjiang Li ◽  
Lin Guo
Keyword(s):  
Empirical Analysis ◽  
Index System ◽  
Loss Rate ◽  
Indicator System ◽  
Evaluation Index ◽  
Nonparametric Model ◽  
Small Enterprises ◽  
Two Stage ◽  
Credit Evaluation ◽  
Discriminant Model

In China, small enterprises have a direct role in economic growth, but they have difficulty in financing development. To address this problem, this paper creates a small business credit evaluation index using a two-stage Bayesian discriminant model. In the first stage, customers are distinguished by whether they are in default, and in the second stage, customers with continuing default are divided into those with a high default loss rate and those with a low default loss rate. The literature to date has identified a credit index only for the first stage; the credit evaluation index proposed here is based on two stages, which is more sensitive. Then, we conduct an empirical analysis using credit data on 3,111 small enterprises in China with a two-stage nonparametric Bayesian discriminant model and a parametric discriminant model, and then, we test the two indicator systems with discriminant accuracy and an ROC curve; the discriminant accuracy of the established index system is 77.95% and 70.95%, respectively, and their prediction accuracy is 0.902 and 0.866, respectively; they show that the constructed indicator system is robust and effective. Finally, we conduct a comparative analysis of discriminant accuracy in three models, finding that the two-stage nonparametric model is optimal, the two-stage logistic regression model is suboptimal, and the two-stage parametric model is poor.

scholarly journals Monitoring and Analysis of Physical Exercise Effects Based on Multisensor Information Fusion

2022 ◽  
Vol 2022 ◽  
pp. 1-12
Author(s):  
Xinliang Zhou ◽  
Shantian Wen
Keyword(s):  
Physical Exercise ◽  
Data Fusion ◽  
Information Fusion ◽  
Development Process ◽  
System Optimization ◽  
Physiological Parameters ◽  
Fusion Technology ◽  
Multisensor Data Fusion ◽  
Multiple Sensors ◽  
Multisensor Information Fusion

In this paper, multiple sensors are used to track human physiological parameters during physical exercise, and data information fusion technology is used to extract useful information for monitoring and analyzing the effects of physical exercise. This paper explores the interaction and developmental dynamics of multisensor information fusion technology and physical exercise data monitoring based on the interrelationship and interpenetration between the two. The design ideas and principles that should be followed for the software designed in this study are discussed from the perspective of the portable design of measurement instruments and the perspective of multisensor information fusion, and then, the overall architecture and each functional module are studied to propose a scientific and reasonable design model. The general methodological model to be followed for the development of this resource is designed, and the basic development process of the model is explained and discussed, especially the requirement analysis and structural design, and how to build the development environment are explained in detail; secondly, based on the course unit development process in this model, we clarify the limitations of the system through meticulous analysis of the measurement results, which provides a solid foundation for the next step of system optimization. Finally, with a focus on future development, we elaborate on the potential possible role and development trend of multisensor information fusion in the future period. In this paper, we propose to apply the multisensor data fusion algorithm to the monitoring, analysis, and evaluation of the effect of physical exercise, by collecting multiple human physiological parameters during physical exercise through multiple sensors and performing data fusion processing on the collected physiological parameters to finally evaluate the effect of physical exercise.

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