scholarly journals Natural Frequency Prediction Method for 6R Machining Industrial Robot

2020 ◽  
Vol 10 (22) ◽  
pp. 8138 ◽  
Author(s):  
Jiabin Sun ◽  
Weimin Zhang ◽  
Xinfeng Dong
Keyword(s):  
Natural Frequency ◽  
Industrial Robot ◽  
Dynamic Performance ◽  
Prediction Method ◽  
Partial Least Square ◽  
Least Square ◽  
Machining Performance ◽  
Prediction Ability ◽  
Robot Machining ◽  
Pls Method

The industrial robot machining performance is highly dependent on dynamic behavior of the robot, especially the natural frequency. This paper aims at introducing a method to predict the natural frequency of a 6R industrial robot at random configuration, for improving dynamic performance during robot machining. A prediction model of natural frequency which expresses the mathematical relation between natural frequency and configuration is constructed for a 6R robot. Joint angles are used as input variables to represent the configurations in the model. The quantity and range of variables are limited for efficiency and practicability. Then sample configurations are selected by central composite design method due to its capacity of disposing nonlinear effects, and natural frequency data is acquired through experimental modal test. The model, which is in form of regression equation, is fitted and optimized with sample data through partial least square (PLS) method. The proposed model is verified with random configurations and compared with the original model and a model fitted by least square method. Prediction results indicate that the model fitted and optimized by PLS method has the best prediction ability. The universality of the proposed method is validated through implementation onto a similar 6R robot.

Model Optimization and Stability of Hemoglobin Analysis in Human Soluble Blood Samples by FTIR/ATR Spectroscopy

2011 ◽  
Vol 55-57 ◽  
pp. 1168-1171
Author(s):  
Tao Pan ◽  
Ai Hong Peng ◽  
Wen Jie Huang
Keyword(s):  
Signal To Noise Ratio ◽  
Attenuated Total Reflection ◽  
Partial Least Square ◽  
Least Square ◽  
Model Optimization ◽  
Optimal Model ◽  
Blood Samples ◽  
Quantification Method ◽  
Atr Spectroscopy ◽  
Pls Method

Using Fourier transform infrared spectroscopy (FTIR), attenuated total reflection (ATR) technology and partial least square (PLS) method, the rapid quantification method of hemoglobin (HGB) in human soluble blood samples was established. Based on the distribution of samples’ HGB chemical value and absorbance on 1543 cm-1 which had the highest signal to noise ratio for HGB, all samples were divided into calibration set and prediction set for 50 times. PLS models were established for all divisions, based on the average data RMSEPAve, the stable optimal model was selected, the corresponding PLS factor, RMSEPAve and RP,Ave were 2, 6.81 g/L and 0.943 respectively.

scholarly journals Studi Mediasi Kepuasan Pelanggan Pada Industri Retail: Peran Kualitas Layanan dan Implikasinya terhadap Loyalitas Pelanggan

IQTISHODUNA ◽  
2020 ◽  
Vol 16 (2) ◽  
pp. 115-130
Author(s):  
Mohammad Nur Safri Ramadhan ◽  
Nur Asnawi
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Direct Effect ◽  
Customer Loyalty ◽  
Comparative Research ◽  
Partial Least Square ◽  
Least Square ◽  
Retail Service ◽  
Retail Service Quality ◽  
Pls Method

The purpose of this research is to determine the direct effect of retail service quality on customers' loyalty and satisfaction, the effect of customer satisfaction on their loyalty and how much customer satisfaction mediates retail service quality on customers' loyalty on Super Indo Bendungan Sutami customers, Malang. This research method uses comparative research with a quantitative approach. The sample used was 120 respondents with collected data by a questionnaire. The data analysis in this study used the Partial Least Square (PLS) method. The results of this research indicate that there is a direct effect of the retail service quality variable upon customers' loyalty and also on customer satisfaction which has a direct influence on customers of Super Indo Bendungan Sutami. Meanwhile, loyalty and can mediate the effect of retail service quality on customer loyalty.               

scholarly journals Variabel Pengajuan Sertifikasi Halal Usaha Kecil Keripik Tempe di Kota Malang

AGROINTEK ◽  
2021 ◽  
Vol 15 (3) ◽  
pp. 736-747
Author(s):  
Sucipto Sucipto ◽  
Elvira Moudhy Syahputri ◽  
Riska Septifani
Keyword(s):  
Local Government ◽  
Small Business ◽  
Consumer Demand ◽  
Partial Least Square ◽  
Least Square ◽  
Costs And Benefits ◽  
Tourism Destinations ◽  
Pls Method

Malang is one of the halal tourism destinations in Indonesia. Halal certification of superior food souvenirs such as tempeh chips is important to support halal tourism. In fact, the small business of halal certified chips is still limited. This study aimed to identify variables that affect the tempeh crispy small business submission for halal certification. The study used the Partial Least Square (PLS) method. Data was obtained from a questionnaire of 40 respondents consisting of 20 tempeh chips not halal certified and 20 businesses that were halal certified. Research variables include producer awareness, halal certification procedures, halal certification costs, halal certification regulations, and consumer demand. The results showed that the variable halal certification regulations and consumer demand significantly influence the submission of halal certification. Awareness and knowledge of producers of the procedures, costs, and benefits of halal certification can be increased in collaboration with the Halal Product Guarantee Agency (HPGA), the industrial offices of local government, and universities to provide information, improve, and assist producers to submit halal certification.

scholarly journals Estimating Soil Organic Carbon in Agricultural Gypsiferous Soils by Diffuse Reflectance Spectroscopy

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 261 ◽  
Author(s):  
Maria Marques ◽  
Ana Álvarez ◽  
Pilar Carral ◽  
Iris Esparza ◽  
Blanca Sastre ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Prediction Ability ◽  
Greenhouse Gas Inventories ◽  
Starting Point

Contents of soil organic carbon (SOC), gypsum, CaCO3, and quartz, among others, were analyzed and related to reflectance features in visible and near-infrared (VIS/NIR) range, using partial least square regression (PLSR) in ParLes software. Soil samples come from a sloping olive grove managed by frequent tillage in a gypsiferous area of Central Spain. Samples were collected in three different layers, at 0–10, 10–20 and 20–30 cm depth (IPCC guidelines for Greenhouse Gas Inventories Programme in 2006). Analyses were performed by C Loss-On-Ignition, X-ray diffraction and water content by the Richards plates method. Significant differences for SOC, gypsum, and CaCO3 were found between layers; similarly, soil reflectance for 30 cm depth layers was higher. The resulting PLSR models (60 samples for calibration and 30 independent samples for validation) yielded good predictions for SOC (R2 = 0.74), moderate prediction ability for gypsum and were not accurate for the rest of rest of soil components. Importantly, SOC content was related to water available capacity. Soils with high reflectance features held c.a. 40% less water than soils with less reflectance. Therefore, higher reflectance can be related to degradation in gypsiferous soil. The starting point of soil degradation and further evolution could be established and mapped through remote sensing techniques for policy decision making.

scholarly journals The investigation of the effects of spiritual values and behaviors on business development and performance of Muslim preneurship

2018 ◽  
Vol 60 (2) ◽  
pp. 730-740
Author(s):  
Mahyarni Mahyarni ◽  
Astuti Meflinda ◽  
Henni Indrayani
Keyword(s):  
Design Methodology ◽  
Partial Least Square ◽  
Least Square ◽  
Spiritual Values ◽  
Content Type ◽  
Data Processing Method ◽  
The Future ◽  
West Sumatra ◽  
And Performance ◽  
Pls Method

Purpose This paper aims to determine the effect between variables and formulate policies related to Muslim business preneurship in the future. Design/methodology/approach Partial least square (PLS) data processing method is used is this study. Findings The result shows that Muslim preneurship spiritual values will lead to an increase in Muslim preneurship behaviors in running a business on society and performance on society. Indonesian people realize that Muslim preneurship development at the present time cannot be separated from the development of small- and medium-sized enterprises spread throughout the country. Originality/value The PLS method that was applied to determine the effect between variables and formulate policies related to Muslim businesses preneurship in the future. This research location was Riau and West Sumatra, Indonesia, and the variables were spiritual values and behavioral and developmental Muslim business preneurship.

Recursive PLS Modeling of Aromatics and Olefins in Gasoline

2013 ◽  
Vol 740 ◽  
pp. 267-272 ◽  
Author(s):  
Jing Fang Wang
Keyword(s):  
Near Infrared ◽  
Partial Least Square ◽  
Least Square ◽  
Oil Refining ◽  
Enterprise Application ◽  
Calibration Models ◽  
Recursive Pls ◽  
Comparison Of The Results ◽  
Pls Method ◽  
Separate Calibration

The separate calibration models of aromatics and olefins were established for gasoline through recursive partial least square (R-PLS) method in this paper.The some oil refining enterprise application has achieved better effect on the software being realized by R-PLS method. The calibration models were validated through comparison of the results determined by fluorescent indicator adsorption (FIA) and near infrared spectroscopy (NIR) methods.The NIR analysis results were well coincident with those of FIA method.The NIR can not only raise the analysis efficiency and lower the analysis cost,but also has better precision compared with FIA method.

scholarly journals Determination and Prediction of Some Soil Properties using Partial Least Square (PLS) Calibration and Mid-Infra Red (MIR) Spectroscopy Analysis

2013 ◽  
Vol 16 (2) ◽  
pp. 93-98 ◽  
Author(s):  
Irnanda Aiko Fifi Djuuna ◽  
Lynette Abbott ◽  
Craig Russell
Keyword(s):  
Soil Properties ◽  
Soil Microbial Biomass ◽  
Microbial Biomass Carbon ◽  
Partial Least Square ◽  
Least Square ◽  
Soil Extraction ◽  
Soil Microbial ◽  
Mir Spectroscopy ◽  
Infra Red ◽  
Pls Method

Soil chemical, physical and biological analyses are a crucial but often expensive and time-consuming step in the characterization of soils. Rapid and accurate predictions and relatively simple methods are ideally needed for soil analysis. The objective of this study was to predict some soil properties (e.g. pH, EC, total C, total N,C/N, NH4-N, NO3-N, P, K, clay, silt, and sand and soil microbial biomass carbon) across the Wickepin farm during summer season using a Mid-Infra Red - Partial Least Square (MIR–PLS) method. The 291 soil samples were analyzed bothwith soil extraction procedure and MIR Spectrometer. Calibrations were developed between MIR spectral data and the results of soil extraction procedures. Results using the PLS-MIR showed that MIR-predicted values were almost as highly correlated to the measured value obtained by the soil extraction method of total carbon, total nitrogen and soil pH. Values for EC, NH4-N, NO3-N, C/N, P, K, clay, silt, sand, and soil microbial biomass carbon were not successfully predicted by the MIR – PLS technique. There was a tendency for these factors to correlate with the MIR predicted value, but the correlation values were very low. This study has confirmed that the MIR-PLS method can be used to predict some soil properties based on calibrations of MIR values.Keywords: MIR-Partial Least Square, MIR-Spectroscopy, soil properties

scholarly journals The Influence of Demographics and Religiosity Factors on Islamic Financial Literacy

INFERENSI ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 91-116
Author(s):  
Riris Aishah Prasetyowati ◽  
Djubaedi Yunus ◽  
Ahmad Rodoni ◽  
Amilin Amilin
Keyword(s):  
Moral Hazard ◽  
Hypothesis Testing ◽  
Sample Size ◽  
Financial Literacy ◽  
Likert Scale ◽  
Partial Least Square ◽  
Least Square ◽  
Quantitative Approach ◽  
Survey Method ◽  
Pls Method

The purpose of this study is to examine the influence of demographics and religiosity on Islamic financial literacy. Using a quantitative approach with a Likert scale questionnaire-based survey method, the population was 2800 respondents of Sharia Bank customers in Jakarta, Bogor, Depok, Bekasi, Tangerang, Surabaya, Semarang, and other cities in Indonesia. The accidental method was used and obtained a selected sample size of 400 respondents, which were analyzed using the Partial Least Square (PLS) method. The novelty shows that dimensions that do not support the significant effect of demographic and religiosity variables on Islamic financial literacy are income, moral, and experience if associated with moral hazard because they are supported by manifestations related to morality. The results of hypothesis testing show that there is a significant effect of demographics on religiosity, a significant effect of demography on Islamic financial literacy, and a significant effect of religiosity on Islamic financial literacy.

scholarly journals Organizational culture as moderating the influence of internal control and community participation on fraud prevention in village fund management during the COVID-19 pandemic

2021 ◽  
Vol 6 ◽  
Author(s):  
I Made Yoga Darma Putra ◽  
Ni Ketut Rasmini ◽  
Gayatri Gayatri ◽  
Ni Made Dwi Ratnadi
Keyword(s):  
Organizational Culture ◽  
Community Participation ◽  
Internal Control ◽  
Partial Least Square ◽  
Least Square ◽  
Fraud Prevention ◽  
Cash Assistance ◽  
Analysis Technique ◽  
Positive Effect ◽  
Pls Method

The purpose of this study was to examine organizational culture in moderating the influence of internal control and community participation on fraud prevention in managing village funds during the covid-19 pandemic. The sample of this study was 27 villages in the province of Bali with 3 villages in each district/city having the highest Village Fund Direct Cash Assistance, so that there were 161 respondents. Data collected using a questionnaire. The data analysis technique used the Partial Least Square (PLS) method. Results show that internal control and community participation have a positive effect on preventing fraud in managing village funds during the Covid-19 pandemic. The results also show that organizational culture strengthens the influence of internal control and community participation on fraud prevention in managing village funds during the Covid-19 pandemic. This shows that the better internal control, and community participation which is strengthened by organizational culture, the prevention of fraud in the management of village funds during the covid-19 pandemic will be better.

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