Research on Waste Tubes Recycling with Material Properties in Wuhan

2014 ◽  
Vol 951 ◽  
pp. 133-136
Author(s):  
Min Zhang ◽  
Jia Ying Wang ◽  
Liang Liang Liang ◽  
Bin Hu ◽  
Wan Li Hu
Keyword(s):  
Principal Component Analysis ◽  
Material Properties ◽  
Research Result ◽  
Residual Effect ◽  
Principal Component ◽  
Effect Factors ◽  
Factors Affecting ◽  
Personal Profile ◽  
Is Theory ◽  
Main Factors

The theoretical framework of this research is Theory of Planned Behavior (TPB). And from personal profile, residual effect factors and attitudes to recycling, this research investigates the factors affecting residents’ behavior of recycling waste fluorescent tubes, the characteristics of the behavior and related preference. The survey data are collected by the means of questionnaires and their exploratory analysis is conducted by SPSS and Principal Component Analysis (PCA). The statistical result illustrates that the main factors affecting the behaviors are propaganda, enterprise, recycling device, stimulation and government. Based on the summary of research result, a recycling device used to recycle waste tubes in communities is designed to improve this research.

Study on the Effect Factors of Non-Perormance Loan Ratio of Chinese Commerical Banks

2011 ◽  
Vol 50-51 ◽  
pp. 728-732
Author(s):  
Ping Li ◽  
Ming Ying Zhuo ◽  
Li Chao Feng ◽  
Rui Zhang
Keyword(s):  
Principal Component Analysis ◽  
Commercial Banks ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Analysis Model ◽  
Principal Component Analysis Model ◽  
Effect Factors ◽  
Financial Indicator ◽  
Commerical Banks

Non-performance loan ratio is one of the important assessment criteria of the security of credit assets. It is also an important financial indicator to evaluate the general strength of commercial banks. Using principal component analysis method and statistical software SPSS16.0 and based on the non-performance loan ratio and relative data of some commercial banks in China in 2007, this paper provided a principal component analysis model for the non-performance loan ratio of China’s commercial banks. The factors that affect the non-performance loan ratio were refined in this paper. Finally, the characteristics of effect factors of each bank were analyzed and compared in detail.

Reliability Parameters Forecasting for Transmission Lines Based on Principal Component Regression

2013 ◽  
Vol 291-294 ◽  
pp. 2381-2386 ◽  
Author(s):  
Wen Xia Liu ◽  
Ji Kai Xu ◽  
Hong Yuan Jiang ◽  
Yong Tao Shen
Keyword(s):  
Principal Component Analysis ◽  
Transmission Lines ◽  
Principal Component Regression ◽  
Principal Component ◽  
Forecasting Accuracy ◽  
Factors Affecting ◽  
Reliability Parameters ◽  
Impacting Factors ◽  
Simulation Results

It is the foundation for evaluating the reliability of transmission lines to obtain and analyze the original reliability parameters. However, these parameters depend on long- term statistic and calculation. In the case of lacking such parameters in a new project , this paper proposes a method of Principal Component Analysis to obtain the principal component of the impacting factors ,in which various factors affecting reliability parameters are taken into account. Through this method, we can use PCR to obtain the failure rate of the unknown transmission lines on the base of the known credible lines’ rates. The simulation results show that the proposed approach possesses higher forecasting accuracy and provides references for the power system dispatching departments and transmission lines maintenance departments.

scholarly journals Detection of Fatigue Microcrack Using Eddy Current Pulsed Thermography

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiang Zhang ◽  
Jianping Peng ◽  
Luquan Du ◽  
Jie Bai ◽  
Lingfan Feng ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Signal Processing ◽  
Eddy Current ◽  
Material Properties ◽  
Principal Component ◽  
Tucker Decomposition ◽  
Pulsed Thermography ◽  
Signal Processing Algorithms ◽  
Microcrack Detection ◽  
Processing Algorithms

Microcracks are a common metallic defect, resulting in degradation of material properties. In this paper, specimens with different fatigue microcracks were detected by eddy current pulsed thermography (ECPT). Signal processing algorithms were investigated to improve the detectability and sensitivity; principal component analysis (PCA) and Tucker decomposition were used to compare the performance of microcrack detection. It was found that both algorithms were highly adaptable. A thermal quotient was used to assess the temperature variation trend. Furthermore, the potential correspondence between crack closure and temperature change was investigated.

scholarly journals Research on key influence factors of creativity development of applied undergraduates based on PCA

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiangmin Ren ◽  
Jingwei Yu
Keyword(s):  
Principal Component Analysis ◽  
Influence Factors ◽  
Principal Component ◽  
Heilongjiang Province ◽  
Key Factors ◽  
Factors Affecting ◽  
The Core ◽  
Creativity Development ◽  
Teachers And Students ◽  
Core Characteristics

Abstract Creativity is one of the core characteristics of talent; for this reason, the creativity development of applied undergraduates should be one of the basic components of their education. This article gives an overview of the meaning of the creativity of applied undergraduates and makes a literature knowledge-mining and expert investigation on the factors affecting the creativity development. We obtained more than 100 influencing factors, filtered out the duplicative factors, and formed the remaining factors into a questionnaire. A survey was conducted among 1460 teachers and students of some applied undergraduates in Heilongjiang Province. By using principal component analysis (PCA) to analyse the questionnaire, the key factors that affect the creativity development of applied undergraduates are obtained, and the key factors are systematically analysed. According to the results of the analysis, the specific ways and methods of the creativity development of applied undergraduates are put forward.

scholarly journals Diversity of entomopathogenic fungi associated with Mediterranean fruit fly (Ceratitis capitata (Diptera: Tephritidae)) in Moroccan Argan forests and nearby area: impact of soil factors on their distribution

BMC Ecology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ayoub Hallouti ◽  
Mohamed Ait Hamza ◽  
Abdelaziz Zahidi ◽  
Rachid Ait Hammou ◽  
Rachid Bouharroud ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Entomopathogenic Fungi ◽  
Ceratitis Capitata ◽  
Chemical Properties ◽  
Principal Component ◽  
Fruit Fly ◽  
Component Analysis ◽  
Organic Content ◽  
Pathogenicity Test ◽  
Factors Affecting

Abstract Background Studying the ecology of biocontrol-agents is a prerequisite to effectively control medfly (Ceratitis capitata (Diptera: Tephritidae)) with entomopathogenic fungi. In this context, factors affecting the occurrence and distribution of medfly-associated entomopathogenic-fungi were studied. Soil samples (22) were collected from natural and cultivated areas of Souss-region Morocco. Results A total of 260 fungal isolates belonging to 22 species and 10 genera were obtained by using medfly pupae as bait. Medfly-associated fungi were detected in all studied soils and pupae infection percentages ranged from 3.33% to 48%. Two genera, Fusarium and Beauveria were the most frequent with 83 isolates (32%) and 50 isolates (19.23%) respectively. Pathogenicity test of isolated species against medfly pupae showed high mortality rates up to 91% for some strains. Principal component analysis (PCA) demonstrated a strong influence of origin, physical, and chemical properties of soil on the abundance of these fungi. In general, medfly-associated fungi were more abundant in soils with moderate pH (7.5 to 8) having high sand and organic content. High relative humidity negatively influenced the abundance of these fungi. Both factors directly affected the fungal infection percentages in pupae. The response of fungi to these parameters varied among species. According to principal component analysis (PCA), the soils of argan fields and forests were more suitable for the development of medfly-associated fungi than citrus orchards. Conclusions These results guide identifying suitable soils for the effective application of entomopathogenic fungi as biological control agents. In summary, isolated indigenous strains seem to be a promising option to control C. capitata.

An Evaluation Method Based on Grey Incidence Coefficient and Double-Point Method

2011 ◽  
Vol 50-51 ◽  
pp. 766-769
Author(s):  
Pu Yu Hao ◽  
Bao Feng Li ◽  
Yu Huan Cui
Keyword(s):  
Principal Component Analysis ◽  
Correlation Matrix ◽  
Double Point ◽  
Evaluation Method ◽  
Correlation Method ◽  
Principal Component ◽  
Point Method ◽  
Economic Indicators ◽  
Evaluation Indexes ◽  
Main Factors

To one company, it takes 8 major economic indicators as evaluation indexes. Firstly, it uses correlation method to determine the weight and uses the double-point method to sort the 8-years comprehensive economic enterprises. Then through the analysis of the correlation matrix, it identifies the main factors. Finally, the ranking and principal component analysis results are compared and analyzed.

Principal component analysis of the main factors of line intensity enhancements observed in oscillating direct current plasma

2010 ◽  
Vol 65 (11) ◽  
pp. 927-934 ◽  
Author(s):  
Milovan M. Stoiljković ◽  
Igor A. Pašti ◽  
Miloš D. Momčilović ◽  
Jelena J. Savović ◽  
Mirjana S. Pavlović
Keyword(s):  
Principal Component Analysis ◽  
Direct Current ◽  
Line Intensity ◽  
Principal Component ◽  
Component Analysis ◽  
Direct Current Plasma ◽  
Main Factors

scholarly journals Menşe İşaretli Karnavas Dut Pekmezi’nin Tüketici Tercihlerine Dayalı Pazarlama Stratejileri

2017 ◽  
Vol 5 (7) ◽  
pp. 822 ◽  
Author(s):  
Yavuz Topcu ◽  
Derya Baran
Keyword(s):  
Direct Marketing ◽  
Principal Component ◽  
Production Method ◽  
Primary Data ◽  
Factors Affecting ◽  
Penetration Effect ◽  
Marketing Tactic ◽  
Product Image ◽  
Main Factors ◽  
Traditional Production

The aim of the study is to determine the integrated marketing tactic and strategies based on the main factors affecting the preferences and purchase patterns related to Karnavas Mullberry Molasses with PDO of the consumers dwelling in Erzurum. The main material of the study was provided by the primary data obtained from a survey conducted on 401 households residing in Erzurum during 2015, and consuming Karnavas Mullberry Molasses. Principal Component Analysis (PCA) and Two-step Cluster Analysis were used to determine the main factors impacting on their purchase decisions, and then to segment homogenous clusters according to their purchase frequencies by taking into consideration the data, respectively. The results of the study indicated that the heavy and medium users who consume Karnavas Mullberry Molasses pointed out the necessity of the augmented and actual product image positioning at retail level under local individual brands considering the attributes of the holistic quality with PDO label and those of the sensory quality obtained from traditional production methods to contribute to rural development under the direct marketing approaches, respectively. On the other hand, the light users also focused on the increase of market penetration effect via promotion mix and the product positioning under the local branded actual product image implementing traditional production method and hedonic quality approaches. It could be applied the positioning and promotion strategies according to the consumers’ utility expectation and the product images, therefore, by considering their requirements and desires in each segment.

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