Studying on the Industrial Competitiveness of Internet of Things in China's Provinces Based on Principal Component Analysis

2013 ◽  
Vol 834-836 ◽  
pp. 1858-1861
Author(s):  
Jia Jun Li ◽  
Ying Zhang ◽  
Nan Ma
Keyword(s):  
Principal Component Analysis ◽  
Internet Of Things ◽  
Industrial Development ◽  
Principal Component ◽  
Component Analysis ◽  
The Internet ◽  
Key Points ◽  
The Internet Of Things ◽  
Develop System ◽  
System Layout

According to the present situation of the industrial resources of Internet of Things (IOT) are distributed in unbalance in different provinces, in this paper, using principal component analysis, it has ranked the competency of the industrial development of Internet of Things in 31 provinces; On the basis of the result, analyzing the top five provinces, the factors that restrict the industrial development of Internet of Things, we find the competitive advantage of the Internet of Things industry is concentrated in key points, which include the number of developing projects in new products high technology and the number of regional patent authorizations, providing the basis for the Internet of Things industry to develop system layout and competitive strategy.

scholarly journals Urban Socio-Economic Variables and Intra-Urban Trips in Ogun State, Nigeria

2014 ◽  
Vol 46 (1) ◽  
pp. 52
Author(s):  
Solanke Muse Olayiwola
Keyword(s):  
Principal Component Analysis ◽  
Industrial Development ◽  
Principal Component ◽  
Component Analysis ◽  
Correlation Technique ◽  
Trip Generation ◽  
Economic Variables ◽  
Ogun State ◽  
Bivariate Correlation ◽  
Socio Economic Variables

This study examines the relative influence of socio-economic variables of urban centers on intra-city tripgeneration. Data were collected on sixteen socio-economic variables and household trip generation in fourteen urbancenters of the state. The nature and degree of relationships between socio-economic variables and trips generated wereestablished through simple bivariate correlation technique. Multiple regression analysis was used to explain variablesthat predict trips generated. The principal component analysis was used to resolve observed collinearity problem in regressionanalysis.There is a strong significant positive correlation between trip generated and 13 out of sixteen socio-economicvariables. The principal component analysis on the socio-economic variables produced two components: socialand commercial component and industrial development component.The two components explain 58.68% of variationin intra-urban trips generated (F=7.830, P≤0.50), (F=13.982, P≤0.50). The industrial development component does notprovide significant explanation.The study emphasizes the need for proper planning and effective monitoring of developingof socio-economic variables in cities because of their critical influence on trip generation.

scholarly journals College Student Internet Use: Convenience and Amusement

2007 ◽  
Vol 33 (1) ◽  
Author(s):  
Genevieve M. Johnson
Keyword(s):  
College Students ◽  
Principal Component Analysis ◽  
College Student ◽  
Internet Use ◽  
Principal Component ◽  
Component Analysis ◽  
The Internet ◽  
Internet Users ◽  
Online Behaviour ◽  
Negative Perceptions

Four hundred five college students completed a questionnaire that assessed patterns of Internet use. Results describe college students, with rare exception, as Internet users. The vast majority of college students frequently communicate online and access websites. While an Internet game experience is typical, relatively few college students are heavy online gamers. Overwhelmingly (i.e., 77.8%), college students conceptualized the Internet as a convenience, although 17.8% considered the Internet a source of amusement. Approximately 5% of college students reported negative perceptions of the Internet (frustrating or a waste of time). Principal component analysis revealed three patterns of online behaviour; integrated-Internet-use, games-only use, and dating-only use. Implications for online instructional practice are presented. Résumé : Quatre cent cinq étudiants du niveau collégial ont répondu à un questionnaire mesurant leurs tendances de l’utilisation d’Internet. Les résultats présentent ces étudiants comme des usagers d’Internet, à quelques exceptions près. La grande majorité de ces étudiants utilisent fréquemment les outils de communication en ligne et naviguent sur Internet. Alors qu’une expérience de jeu en ligne s’avère commune, peu d’étudiants du collège s’avèrent être des joueurs en ligne excessifs. Essentiellement (c.à-d. 77,8 %), ces étudiants perçoivent Internet comme une commodité, même si 17,8 % d’entre eux le considère comme une source d’amusement. Environ 5 % ont indiqué des perceptions négatives d’Internet (frustrations ou pertes de temps). L’analyse en composantes principales a révélé 3 tendances de comportements en ligne, l’utilisation intégrée d’Internet, l’utilisation seule de jeux et l’utilisation à des fins de rencontre seulement. On présente des conséquences pour la pratique de l’enseignement en ligne.

scholarly journals An online and real-time adaptive operational modal parameter identification method based on fog computing in Internet of Things

2020 ◽  
Vol 16 (2) ◽  
pp. 155014772090361 ◽  
Author(s):  
Cheng Wang ◽  
Haiyang Huang ◽  
Jianwei Chen ◽  
Wei Wei ◽  
Tian Wang
Keyword(s):  
Principal Component Analysis ◽  
Internet Of Things ◽  
Modal Analysis ◽  
Real Time ◽  
Fog Computing ◽  
Principal Component ◽  
Component Analysis ◽  
Operational Modal Analysis ◽  
Smart Devices ◽  
Analysis Method

A large number of smart devices make the Internet of Things world smarter. However, currently cloud computing cannot satisfy real-time requirements and fog computing is a promising technique for real-time processing. Operational modal analysis obtains modal parameters that reflect the dynamic properties of the structure from the vibration response signals. In Internet of Things, the operational modal analysis method can be embedded in the smart devices to achieve structural health monitoring and fault detection. In this article, a four-layer framework for combining fog computing and operational modal analysis in Internet of Things is designed. This four-layer framework introduces fog computing to solve tasks that cloud computing cannot handle in real time. Moreover, to reduce the time and space complexity of the operational modal analysis algorithm and support the real-time performance of fog computing, a limited memory eigenvector recursive principal component analysis–based operational modal analysis approach is proposed. In addition, by examining the cumulative percent variance of principal component analysis, this article explains the reasons behind the identified modal order exchange. Finally, the time-varying operational modal identification results from non-stationary random response signals of a cantilever beam whose density changes slowly indicate that the limited memory eigenvector recursive principal component analysis–based operational modal analysis method requires less memory and runtime and has higher stability and identification effect.

Green-Efficiency Assessment of Chinese Industry Based on Principal Component Analysis and Super-Efficiency Data Envelopment Analysis

2012 ◽  
Vol 490-495 ◽  
pp. 2264-2268 ◽  
Author(s):  
Rui Jie Liu ◽  
Zhi Hui Zhang
Keyword(s):  
Principal Component Analysis ◽  
Data Envelopment Analysis ◽  
Industrial Development ◽  
Principal Component ◽  
Component Analysis ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Chinese Industry ◽  
Year 2000 ◽  
Efficiency Data

Industry is playing an important role in national economy, the efficiency and developing trend of which is widely being paid attention to. However, severe environmental problems always emerge along with rapid industrial development at the same time. Based on the method integrating Principal Component Analysis and Super-efficiency Data Envelopment Analysis, this article introduces environmental factors into the system to evaluate Chinese industrial green-efficiency of year 2000~2008, indicating the current major problems which hinder coordinated economic-environmental development of Chinese industry, and putting forward the improving direction.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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