Research on children’s air purifier based on Emotional design

The purpose of this article is to explore new functions and experience methods for children’s air purifiers based on the theory of emotional design. The research method is, first, to collect perceptual vocabulary and typical samples, and use the semantic difference method to build a perceptual evaluation table. Secondly, the analysis data is imported into SPSS software for factor analysis and principal component analysis. Establish user demand models for children’s air purifiers through user interviews. Finally, using the hierarchical analysis method to get the three elements of design: shape, function, experience, and then use the three elements of design to guide practice. The significance of the research lies in the use of emotional design methods, which provide new solutions for communication between parents, children and purifiers.

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Dimension Reduction Big Data Using Recognition of Data Features Based on Copula Function and Principal Component Analysis

Advances in Mathematical Physics ◽

10.1155/2021/9967368 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Fazel Badakhshan Farahabadi ◽

Kianoush Fathi Vajargah ◽

Rahman Farnoosh

Keyword(s):

Principal Component Analysis ◽

Dimension Reduction ◽

High Speed ◽

Principal Component ◽

Analysis Data ◽

Component Analysis ◽

Copula Function ◽

Analysis Method ◽

Principal Component Analysis Method ◽

Effective Dimensions

Nowadays, data are generated in the world with high speed; therefore, recognizing features and dimensions reduction of data without losing useful information is of high importance. There are many ways to dimension reduction, including principal component analysis (PCA) method, which is by identifying effective dimensions in an acceptable level, reducing dimension of data. In the usual method of principal component analysis, data are usually normal, or we normalize data; then, the principal component analysis method is used. Many studies have been done on the principal component analysis method as a step of data preparation. In this paper, we propose a method that improves the principal component analysis method and makes data analysis easier and more efficient. Also, we first identify the relationships between the data by fitting the multivariate copula function to data and simulate new data using the estimated parameters; then, we reduce the dimensions of new data by principal component analysis method; the aim is to improve the performance of the principal component analysis method to find effective dimensions.

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The influence of mascot’s modeling characteristics on emotional image

E3S Web of Conferences ◽

10.1051/e3sconf/202017902062 ◽

2020 ◽

Vol 179 ◽

pp. 02062

Author(s):

Zhu Zhe ◽

Shi Huimin

Keyword(s):

Principal Component Analysis ◽

Morphological Analysis ◽

Principal Component ◽

Theory Of Science ◽

Difference Image ◽

Semantic Difference ◽

Emotional Imagery ◽

Spss Software ◽

The Impact ◽

Representative Samples

We intends to investigate the impact of the characteristics of mascots modelling on the emotional imagery based on the theory of perceptual engineering. Specifically, we used the method of semantic difference image cognitive analysis on representative samples by virtue of SPSS software, which completes principal component analysis and regression analysis, typical vocabulary screening, as well as extraction of projects and category of the project modelling using morphological analysis in combination with the theory of science I analysis the correlation coefficient. Eventually, we will translate user’s perceptual demand description into rational modelling characteristics, so as to acquire a better understanding of the correlation between mascots modelling characteristic and emotional image, all of which provide certain reference basis for designers.

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Nonlinear analysis of electroencephalograms of healthy people during driving test based on symplectic principal component analysis method

PsycEXTRA Dataset ◽

10.1037/e573792014-017 ◽

2014 ◽

Author(s):

Min Lei ◽

Guang Meng ◽

Nilanjan Sarkar ◽

Jing Fan ◽

Josh Wade ◽

...

Keyword(s):

Principal Component Analysis ◽

Nonlinear Analysis ◽

Principal Component ◽

Component Analysis ◽

Healthy People ◽

Analysis Method ◽

Principal Component Analysis Method

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PENELITIAN DAN PENGEMBANGAN SENSOR AROMATIK SEBAGAI ALAT DETEKSI ALKOHOL PADA PARFUM DAN WEWANGIAN UNTUK AUTENTIKASI PRODUK PARFUM HALAL

Jurnal Penelitian Agama ◽

10.24090/jpa.v18i2.2017.pp302-322 ◽

2017 ◽

Vol 18 (2) ◽

pp. 302-322

Author(s):

Fajar Hardoyono

Keyword(s):

Sensor Array ◽

Principal Component ◽

Metal Oxide Semiconductor ◽

Oxide Semiconductor ◽

Response Patterns ◽

Data Recording ◽

Analysis Method ◽

Sample Group ◽

Array Pattern ◽

Group Data

Abstract: The development of aromatic sensor array instrument for the detection of alcohol in perfume. The research was conducted by developing the sensor array using 8 sensors made of metal oxide semiconductor. The sensor types used in this study consisted of TGS 813, TGS 822, TGS 2600, TGS 826, TGS 2611, TGS 2620, TGS 2612 and TGS 2602. Response patterns of 8 sensors formed a sensor array pattern used to detect the aroma of 2 groups of samples perfume made from the essential oil of ginger. The first sample group is pure ginger atsiri oil without mixed alcohol. The second sample group was made from the ginger atsiri oil mixed with alcohol with a level of 0.02 M. The results of the data recording show that the developed instrument is able to dissect the first sample group with the second sample group. Data analysis using principal component analysis method (PCA shows that the instrument is able to distinguish the contaminated alcohol perfume group 0.2 M with the alcohol-free perfume group with 100% accuracy. Keywords: Sensor Aroma, Perfume.

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Pendidikan Karakter Profetik dalam Sirah Nabawiyah (Telaah Kitab al-Râhiq al-Makhtûm Karya Shafiy al-Rahmân al-Mubârakfuri)

Jurnal Penelitian Pendidikan Islam ◽

10.36667/jppi.v6i2.293 ◽

2018 ◽

Vol 6 (2) ◽

pp. 147 ◽

Cited By ~ 1

Author(s):

Ahmad Syahid ◽

H. Husni

Keyword(s):

Content Analysis ◽

Data Collection ◽

Character Education ◽

Research Method ◽

Analysis Data ◽

Educational Goals ◽

Research Approach ◽

Analysis Method ◽

Library Research ◽

History Of

This study aims to analyze the character values in Sirah Nabawiyah Ar-Rahiq Al-Makhtum by Syafiyyurrahman al-Mubarakfuri, so that it is revealed how the character education of the Prophet Muhammad. and analyze its relevance to current educational goals. The research method used is library research, the type of research approach is deductive and the analysis method is content analysis. Data collection techniques used were library techniques. This research succeeded in proving that prophetic values based on the history of the Prophet Muhammad have a strong relevance to the concept of contemporary character education. Prophetic values loaded with character education in this era, especially related to religiosity, honesty, tolerance, discipline, hard work, creative, independent, democracy, curiosity, national spirit, love of the motherland, respect for achievement, friendship, love for peace , likes to read, care about the environment, care about social, and responsibility.

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Modeling, comparison and evaluation of one-DOF six-bar bioinspired jumping leg mechanisms

Advances in Mechanical Engineering ◽

10.1177/1687814021992954 ◽

2021 ◽

Vol 13 (2) ◽

pp. 168781402199295

Author(s):

Ziqiang Zhang ◽

Qi Yang ◽

Xingkun Liu ◽

Chuanzhong Zhang ◽

Jinnong Liao

Keyword(s):

Center Of Mass ◽

Principal Component ◽

Analysis Method ◽

Index Distribution ◽

Inertial Moment ◽

Structure Index ◽

Mean And Variance ◽

Research Objects ◽

Leg Mechanisms ◽

Selection Of

One degree-of-freedom (DOF) jumping leg has the advantages of simple control and high stiffness, and it has been widely used in bioinspired jumping robots. Compared with four-bar jumping leg, six-bar jumping leg mechanism can make the robot achieve more abundant motion rules. However, the differences among different configurations have not been analyzed, and the choice of configurations lacks basis. In this study, five Watt-type six-bar jumping leg mechanisms were selected as research objects according to the different selection of equivalent tibia, femur and trunk link, and a method for determining the dimension of the jumping leg was proposed based on the movement law of jumping leg of locust in take-off phase. On this basis, kinematics indices (sensitivity of take-off direction angle and trunk attitude angle), dynamics indices (velocity loss, acceleration fluctuation, and mean and variance of total inertial moment) and structure index (distribution of center of mass) were established, and the differences of different configurations were compared and analyzed in detail. Finally, according to the principal component analysis method, the optimal selection method for different configurations was proposed. This study provides a reference for the design of one DOF bioinspired mechanism.

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.50-51.728 ◽

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.

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