The Forecasts Study of City Economy and Cyclic Integrating Development

2013 ◽  
Vol 798-799 ◽  
pp. 1144-1147
Author(s):  
Tian Shui Lin
Keyword(s):  
Principal Component Analysis ◽  
Quantitative Evaluation ◽  
Circular Economy ◽  
Arima Model ◽  
Principal Component ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Chongqing City ◽  
Economic Trends ◽  
Comprehensive Study

In this paper, we select the multi-dimensional evaluation index system based on principal component analysis for quantitative evaluation of circular economy in Chongqing . We use ARIMA model to predict Chongqing city cycle economic trends which rely on a comprehensive study in the development of circular economy status quote.

Effect Evaluation of Video Surveillance System on the Basis of Principal Component Analysis

2015 ◽  
Vol 713-715 ◽  
pp. 479-481
Author(s):  
Tao Zhu ◽  
Wei Jun Hong
Keyword(s):  
Principal Component Analysis ◽  
Video Surveillance ◽  
Index System ◽  
Surveillance System ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Video Surveillance System ◽  
Effect Evaluation

The effect evaluation of video surveillance system is important for the effect of expected protection on the system. A comprehensive effect evaluation index system of video surveillance system is established. The Principal Component Analysis (PCA) method is applied on the established index system to obtain a new evaluation index system. It is proved in instances that the effect evaluation method of video surveillance system with the application of the index system is capable of evaluating the video surveillance system effectively and quantitatively. The protective effect of the video surveillance system is evaluated objectively on the basis of the new index system with the PCA.

scholarly journals Constructing a Method for an Evaluation Index System Based on Graph Distance Classification and Principal Component Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Keyou Shi ◽  
Yong Liu ◽  
Zhijun Zhang ◽  
Qing Yu ◽  
Qiucai Zhang
Keyword(s):  
Principal Component Analysis ◽  
Environmental Quality ◽  
Index System ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Radiation Environment ◽  
Graph Distance ◽  
System A

Based on the importance of having an evaluation index system, a new method that combines PCA with graph distance classification is presented to make up the deficiencies of principal component analysis in the process of index screening, and this method is applied in the construction of an evaluation index system for the environmental quality of decommissioning uranium tailing. The seepage indexes were classified into six classes using graph distance classification, which selects the representative elements, including pH, ∑α, 210Pb, 210Po, F−, and NO3−. All of the representative elements were analyzed by PCA while determining the seepage indexes, including pH, U, Ra, ∑α, NH4-N, and F−, and establishing an index system for environmental quality evaluation that consists of two primary indexes (seepage and radiation environment) and 12 secondary indexes. The results showed that the model had ensured that the sifted indexes had a significant effect on the evaluation result and avoided the deletion of some important indexes and that it had stronger applicability and maneuverability.

An Empirical Analysis on the Level of New Industrialization in Hefei

2011 ◽  
Vol 361-363 ◽  
pp. 1790-1794
Author(s):  
Zheng Qing Luo ◽  
Jun Yan Luo
Keyword(s):  
Principal Component Analysis ◽  
Empirical Analysis ◽  
Quantitative Study ◽  
Rapid Development ◽  
Principal Component ◽  
Intermediate Stage ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Medium Term ◽  
New Industrialization

Hefei is in a period of rapid development of new industrialization, but there is no quantitative study on where the new industrialization level is. Therefore, this article designs a set of evaluation index system of new industrialization, and uses principal component analysis to calculate the new Industrialization level in Hefei. The result shows that Hefei has been in the medium-term of the intermediate stage of new industrialization.

The Competitiveness of Ecological Civilization

2011 ◽  
Vol 356-360 ◽  
pp. 2620-2623
Author(s):  
Yi Xia Tao ◽  
Xue Hua Zhang
Keyword(s):  
Principal Component Analysis ◽  
Index System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Ecological Civilization ◽  
Independent Components ◽  
Autonomous Regions

Abstract. According to the meaning of ecological civilization, we build an evaluation index system of ecological civilization competitiveness. We select 30 provinces or autonomous regions in China, collect the relevant data and through principal component analysis 9 independent components are picked up from 19 comprehensive evaluation indices which reflect the competitiveness of ecological civilization. Then we evaluate and rank the regions’ ecological civilization competitiveness. By comparing the results, we find out strengths and gaps of the regions as well as the related reasons.

scholarly journals Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs

2021 ◽  
Vol 13 (20) ◽  
pp. 4123
Author(s):  
Hanqi Wang ◽  
Zhiling Wang ◽  
Linglong Lin ◽  
Fengyu Xu ◽  
Jie Yu ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Time Series ◽  
Pose Estimation ◽  
Point Cloud ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index ◽  
Evaluation Indexes ◽  
Learning Network ◽  
Estimation Algorithms

Vehicle pose estimation is essential in autonomous vehicle (AV) perception technology. However, due to the different density distributions of the point cloud, it is challenging to achieve sensitive direction extraction based on 3D LiDAR by using the existing pose estimation methods. In this paper, an optimal vehicle pose estimation network based on time series and spatial tightness (TS-OVPE) is proposed. This network uses five pose estimation algorithms proposed as candidate solutions to select each obstacle vehicle's optimal pose estimation result. Among these pose estimation algorithms, we first propose the Basic Line algorithm, which uses the road direction as the prior knowledge. Secondly, we propose improving principal component analysis based on point cloud distribution to conduct rotating principal component analysis (RPCA) and diagonal principal component analysis (DPCA) algorithms. Finally, we propose two global algorithms independent of the prior direction. We provided four evaluation indexes to transform each algorithm into a unified dimension. These evaluation indexes’ results were input into the ensemble learning network to obtain the optimal pose estimation results from the five proposed algorithms. The spatial dimension evaluation indexes reflected the tightness of the bounding box and the time dimension evaluation index reflected the coherence of the direction estimation. Since the network was indirectly trained through the evaluation index, it could be directly used on untrained LiDAR and showed a good pose estimation performance. Our approach was verified on the SemanticKITTI dataset and our urban environment dataset. Compared with the two mainstream algorithms, the polygon intersection over union (P-IoU) average increased by about 5.25% and 9.67%, the average heading error decreased by about 29.49% and 44.11%, and the average speed direction error decreased by about 3.85% and 46.70%. The experiment results showed that the ensemble learning network could effectively select the optimal pose estimation from the five abovementioned algorithms, making pose estimation more accurate.

Study on Establishment and Application of Circular Economy Evaluation Index System for the Chemical Industry

2012 ◽  
Vol 524-527 ◽  
pp. 3455-3458 ◽  
Author(s):  
Ji Liang Zheng ◽  
Yi Huang ◽  
Zi Qiang Wang
Keyword(s):  
Chemical Industry ◽  
Circular Economy ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Important Work ◽  
Ahp Method ◽  
Weight Value ◽  
The Index System ◽  
Economy Evaluation

The chemical industry is the focus of circular economy construction, and the construction of evaluation index system of circular economy is an important work. In this paper, a circular economy evaluation index system that may be used for quantized evaluation for the chemical industry is established based on the previous research results, where the weight value of the index system is obtained by the AHP method. The rationality of the evaluation index system is verified through the case studies.

Principal Component Analysis the Economy of Shanghai in 2010

2011 ◽  
Vol 50-51 ◽  
pp. 404-408
Author(s):  
Xiao Qiang Guo ◽  
Zhen Dong Li ◽  
Dong Dong Hao ◽  
Xin Xie ◽  
Jian Min Wang
Keyword(s):  
Principal Component Analysis ◽  
Economic Development ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index ◽  
Short Term ◽  
Construction Costs ◽  
World Expo ◽  
Shanghai World Expo

This paper from the economic analysis, quantitative evaluation of the 2010 Shanghai World Exop impact. First, from the short-term and long-term benefits of the two considerations, the loss of earnings, base construction costs on the percentage of total funding, permanent building retained, the number of daily tours, the number of participating countries for the evaluation index, subjectively weight to the five indicators，calculate its scores to rank for five World Expos including Shanghai World Expo. Second, using principal component analysis, we get the five indicators of objective weighting and ranking for above five World Expos. The results show that the Shanghai World Expo will boost the economic development and has a huge influence on the economy

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