Living room design using Kansei Engineering approach with toddler safety aspect by Azizah Nurul Hanifati, Nora Azmi, Anik Nur Habyba

“…These Kansei words injected into the concept design, which is the harmonious design concept and the simple design concept, by using Principal Component Analysis. The harmonious design has a wood table (X5.1) with a sofa (X7.2) and TV (X9.1) and no flower vase (X11.2) as its decoration, while the simple design has a plastic table (X5.2) with a wood seat (X7.1) and with flower vase (X11.1) but no TV (X9.2). …”
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Personal Authentication Using Multifeatures Multispectral Palm Print Traits by Gayathri Rajagopal, Senthil Kumar Manoharan

“…This paper proposes a multispectral palm print recognition method with extraction of multiple features using kernel principal component analysis and modified finite radon transform. …”
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Research on Water Quality Change and Prediction Based on Wavelet Analysis —— A Case Study of Guohe River by ZHAO Guizhang, WANG Shuli, LI Zhiping, GONG Jianshi, WANG Hesheng

“…Utilizing the monthly monitoring data of water quality indexes in the Guohe River Basin from 2005 to 2018 (a total of 168 months),this paper explores the application of wavelet analysis and neural network in the water quality research of the river basin.Wavelet analysis is employed to clarify the multi-scale change rules of water quality indexes in the Guohe River Basin.The main influencing factors of water quality are selected by principal component analysis,and a wavelet neural network model is established to predict the main influencing factors.The results show that each water quality index presents multi-scale oscillation,and there are three main change periods of about 8 months,20 months,and 30 months. …”
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Multivariate Analysis of Metal Levels in Paddy Soil, Rice Plants, and Rice Grains: A Case Study from Shakargarh, Pakistan by Saadia R. Tariq, Nabila Rashid

“…The Pb content of soil was strongly positively correlated with plants as well as the grains. The principal component analysis and cluster analysis were used to depict the origin of enhanced metal levels in rice plants. …”
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Prediction and Identification of Antioxidant Peptides in Potato Protein Hydrolysate by Juan Wu, Chao Mao, Wenli Zhang, Yu Cheng

“…Principal component analysis (PCA) was used to cluster the possible amino acid compositions of antioxidant peptides in potato protein hydrolysate (PPH). …”
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Would Phrynops geoffroanus’ plastron formula and morphological diversity be preserved under anthropic conditions? by Mauro Sérgio Cruz Souza Lima, Ulisses Caramaschi, Jonas Pederassi, Joara de Sousa Andrade, Diogo Brunno e Silva Barbosa

“…For the morphometric analyses, the following were calculated: standard error, class intervals, sample standard deviation, principal component analysis, and allometry. When evaluating the morphometric dependence, r = 0.85 was obtained, which allowed us to verify the allometric classification Y, the growth rate K, and the proportion of growth b for each segment that composes the length of the plastron (LP). …”
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Modeling of Temperature Effect on Modal Frequency of Concrete Beam Based on Field Monitoring Data by Wenchen Shan, Xianqiang Wang, Yubo Jiao

“…In this paper, principal component analysis (PCA) is conducted on the temperatures taken from all embedded thermocouples for extracting input parameters of regression models. …”
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Psychometric Properties of the Persian Version of the Short Beck Depression Inventory with Iranian Psychiatric Outpatients by Mahboubeh Dadfar, Zornitsa Kalibatseva

“…The instrument indicated good reliability with Cronbach’s alpha of .85 and strong construct validity based on moderate to strong positive correlations with other measures of mental health issues. Using a Principal Component Analysis and Varimax Rotation with Kaiser Normalization, three factors were identified and labeled Affective (F1), Somatic/Vegetative (F2), and Cognitive/Loss of Functioning (F3). …”
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The Use of Parsimonious Questionnaires in Occupational Health Surveillance: Psychometric Properties of the Short Italian Version of the Effort/Reward Imbalance Questionnaire by Nicola Magnavita, Sergio Garbarino, Johannes Siegrist

“…The internal consistency of scales was satisfactory. Principal component analysis enabled to identify the model’s main factors. …”
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Nutrient dynamic in sediment and organs of the mangrove Avicennia marina (Forsk.) Vierh by Ariyanto Dafit, Pringgenies Delianis, Natalia Br Ginting Devica

“…The statistical analysis used the principal component analysis (PCA) approach. The nutrients analyzed were nitrogen (N), phosphorus (P), zinc (Z), magnesium (Mg), and iron (Fe) in the leaves, roots, and sediment. …”
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Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm by Xiaoyu Zhang, Jiusheng Chen, Quan Gan

“…In this paper, an improved kernel principal component analysis (KPCA) method is proposed to search for signatures of anomalies in flight datasets through the squared prediction error statistics, in which the number of principal components and the confidence for the confidence limit are automatically determined by OpenMP-based K-fold cross-validation algorithm and the parameter in the radial basis function (RBF) is optimized by GPU-based kernel learning method. …”
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Mixture Augmented Lagrange Multiplier Method for Tensor Recovery and Its Applications by Huachun Tan, Bin Cheng, Jianshuai Feng, Li Liu, Wuhong Wang

“…In the new algorithm, the tensor recovery problem is formulated as a mixture convex multilinear Robust Principal Component Analysis (RPCA) optimization problem by minimizing a sum of the nuclear norm and the ℓ1-norm. …”
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Physicochemical, Major Anions and Heavy Metals in Surface Water and Groundwater at Pb – Zn Mining areas of Ebonyi State, Nigeria by SU Opoke, AD Osayande

“…The result of the Correlation analysis and principal component analysis ( R- Mode and Q-mode) applied to the data analysis show that Zn, Pb, Cd, Cu, and Cr heavy metals originated from similar sources but may have been influenced by mining operation, while Ni, and As are attributed to a geogenic source. …”
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Wi-Pest:a method for detecting stored grain pests based on CSI by Shaowei SHAN, Weidong YANG, Le XIAO, Ke WANG

“…The environmental and biological factors that affect the food security during the food storage,such as the food temperature,environment humidity,moisture,gas,mildew,pests and others pose a threat to the food storage security,among which the pest is an important factor threatening food storage security.Therefore,a fast and effective detection method is needed to detect stored grain pests.Some of the existing methods are time consuming,using expensive equipment,potentially harmful to health and inefficient.A non-contact,fast and low-cost detection method for stored grain pests based on the amplitude of the channel state information (CSI) was proposed,namely,wireless-pest (Wi-Pest).The feasibility of the pest detection in the stored grain was verified by using CSI amplitude data.On this basis,a Wi-Pest detection method was designed.Firstly,the amplitude data of CSI was preprocessed by outliers removal,data normalization and noise elimination.Then the principal component analysis (PCA) was used to compress the data and extract the main feature components.Finally,random forest (RF) classification method was used to detect stored grain pests.Experiments show that the abnormal density of live pests in grain heaps can be detected under the line of sight (LOS) scenario,and the detection accuracy of the proposed method can reach 97% on average.…”
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GC-IMS-Based Preliminary Analysis of Volatile Flavor Compounds in Ejiao at Different Processing Stages by Ning Ma, Rui Guan, Rentang Zhao, Yue Geng

“…During Ejiao processing, the formation of these substances is mainly attributable to the Maillard reaction, amino acid or protein-oxidized lipid interaction, lipid oxidation and degradation, and long-chain compound degradation during heating. Principal component analysis results showed that volatile flavor compounds could be used to distinguish different Ejiao processing stages. …”
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Wavelet Domain Multidictionary Learning for Single Image Super-Resolution by Xiaomin Wu, Jiulun Fan, Jian Xu, Yanzi Wang

“…Therefore, an algorithm to learn 4 coupled principal component analysis (PCA) dictionaries to describe the relationship between the approximation subband and the detail subbands is proposed in this paper. …”
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Application of Financial Cloud in the Sustainable Development of Smart Cities by Yangchun Cao, Guangyu Zhang, Chunyao Ou

“…Secondly, it investigates the construction of the evaluation model, using the power of the financial cloud, through exploratory factor analysis, selecting the principal component analysis method to extract the factors, for screening and dimensionality reduction of the indicators, and making hypotheses. …”
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Analysis and Implementation of Optimization Techniques for Facial Recognition by Justice Kwame Appati, Huzaifa Abu, Ebenezer Owusu, Kwaku Darkwah

“…In this study, the principal component analysis (PCA) method with the inherent property of dimensionality reduction was adopted for feature selection. …”
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Clutter Mitigation in Echocardiography Using Sparse Signal Separation by Javier S. Turek, Michael Elad, Irad Yavneh

“…MCA is compared to Singular Value Filtering (SVF), a Principal Component Analysis- (PCA-) based filtering technique, and to a high-pass Finite Impulse Response (FIR) filter. …”
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Temporal Variations in Concentrations of Ozone, Nitrogen Dioxide, and Carbon Monoxide at Osijek, Croatia by Elvira Kovač-Andrić, Tatjana Radanović, Iva Topalović, Berislav Marković, Nikola Sakač

“…We have attempted to establish correlations between measured pollutant concentrations and meteorological parameters using the technique of multivariate principal component analysis (PCA).…”
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