• Title/Summary/Keyword: Market Comparison

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PLC and Arduino CNC Control for Comparison of 2D Outputs (2D 출력물 비교를 위한 PLC와 아두이노 CNC 제어)

  • Cho, Hae-Jun;Kim, Kang-Ho;Jang, Hyun-Su;Jeon, Jong-Hwan;Lee, Seung-Dae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1295-1302
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    • 2021
  • As the market size of 3D printers increases, the precision of the printout and the speed of operation by the motor are very important issues. In this parer, G-code of each output was generated using a CURA program to compare whether the output of the PLC equipment is the same as that of the Arduino CNC. And after conversion to NC File, a pen was attached to each device to output a result to A4 paper. As a result, the output time was measured to be 1m 39s for PLC equipment and 2m 5s for Arduino CNC. In addition, it was confirmed that the 2D output was equally from the two equipments.

A Comparison of Predictive Power among Forecasting Models of Monthly Frozen Mackerel Consumer Price Models (냉동 고등어 소비자가격 모형 간 예측력 비교)

  • Jeong, Min-Gyeong;Nam, Jong-Oh
    • The Journal of Fisheries Business Administration
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    • v.52 no.4
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    • pp.13-28
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    • 2021
  • The purpose of this study is to compare short-term price predictive power among ARMA ARMAX and VAR forecasting models based on the MDM test using monthly consumer price data of frozen mackerel. This study also aims to help policymakers and economic actors make reasonable choices in the market on monthly consumer price of frozen mackerel. To analyze this study, the frozen wholesale prices and new consumer prices were used as variables while the price time series data were used from December 2013 to July 2021. Through the unit root test, it was confirmed that the time series variables employed in the models were stable while the level variables were used for analysis. As a result of conducting information standards and Granger causality tests, it was found that the wholesale prices and fresh consumer prices from the previous month have affected the frozen consumer prices. Then, the model with the highest predictive power was selected by RMSE, RMSPE, MAE, MAPE, and Theil's inequality coefficient criteria where the predictive power was compared by the MDM test in order to examine which model is superior. As a result of the analysis, ARMAX(1,1) with the frozen wholesale, ARMAX(1,1) with the fresh consumer model and VAR model were selected. Through the five criteria and MDM tests, the VAR model was selected as the superior model in predicting the monthly consumer price of frozen mackerel.

Comparison on Absorption of Commercially Available Urinary Incontinence Panty

  • Cha, Su-Joung
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.11
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    • pp.209-218
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    • 2022
  • This study sought to measure the absorption of commercially available urinary incontinence panty by applying a method of measuring the maximum saline amount of adult diapers in an international standard. The subject was 15 products from 3 brands on the market, and the SPSS 27.0 program was used for analysis. As a result of measuring the maximum absorption of commercial incontinence panty, it was found that the maximum absorption of product B was the highest and the maximum absorption of product C was the lowest. Even though the product was marked with the same absorption amount, it showed differences in the same product of the same brand, and it also showed differences depending on the brand. The reflux amount of the injected physiological saline and the urinary incontinence panty showed a positive (+) correlation, and as the amount of the injected physiological saline increased, the reflux amount of the urinary incontinence panty increased. It was analyzed that the time when the leakage begins and the amount of leakage have a negative (-) correlation. In future research, it is believed that the development of functional pads that can increase absorption and reduce reflux and leakage should be carried out.

Comparative mitogenomics of Pleurotus ostreatus Gonji7ho and its cap color mutant

  • Oh, Min-Ji;Na, Kyeong Sook;Jung, Hwa Jin;Lee, Young Kuk;Ryu, Jae-San
    • Journal of Mushroom
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    • v.20 no.2
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    • pp.43-49
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    • 2022
  • Pleurotus ostreatus is a globally cultivated mushroom crop. Cap color is a quality factor in P. ostreatus. However, cap color can spontaneously mutate, degrading the quality of the mushroom on the market. Early detection and removal of mutant strains is the best way to maintain the commercial value of the crop. To detect the cap color mutant Gonji7ho, molecular markers were developed based on insertion/deletions (InDels) derived from the comparison of mitogenomes of Gonji7ho and Gonji7hoM mushrooms. Sequencing, assembly, and comparative analysis of the two mitogenomes revealed genome sizes of 73,212 bp and 72,576 bp with 61 and 57 genes or open reading frames (ORFs) in P. ostreatus Gonji7ho and Gonji7hoM, respectively. Fourteen core protein-encoding genes, two rRNA, and 24 tRNA with some OFRs were predicted. Of the 61 genes or OFRs in the wild type, dpo, rpo, and two orf139 were missing (or remnant) in the mutant strain. Molecular markers were developed based on the sequence variations (InDels) between the two mitogenomes. Six polymorphic molecular markers could detect the mutated mitochondria by PCR. These results provide basic knowledge of the mitogenomes of wild-type and mutant P. ostreatus, and can be applied to discriminate mutated mitochondria.

A Study on the Evaluation Differences of Korean and Chinese Users in Smart Home App Services through Text Mining based on the Two-Factor Theory: Focus on Trustness (이요인 이론 기반 텍스트 마이닝을 통한 한·중 스마트홈 앱 서비스 사용자 평가 차이에 대한 연구: 신뢰성 중심)

  • Yuning Zhao;Gyoo Gun Lim
    • Journal of Information Technology Services
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    • v.22 no.3
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    • pp.141-165
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    • 2023
  • With the advent of the fourth industrial revolution, technologies such as the Internet of Things, artificial intelligence and cloud computing are developing rapidly, and smart homes enabled by these technologies are rapidly gaining popularity. To gain a competitive advantage in the global market, companies must understand the differences in consumer needs in different countries and cultures and develop corresponding business strategies. Therefore, this study conducts a comparative analysis of consumer reviews of smart homes in South Korea and China. This study collected online reviews of SmartThings, ThinQ, Msmarthom, and MiHome, the four most commonly used smart home apps in Korea and China. The collected review data is divided into satisfied reviews and dissatisfied reviews according to the ratings, and topics are extracted for each review dataset using LDA topic modeling. Next, the extracted topics are classified according to five evaluation factors of Perceived Usefulness, Reachability, Interoperability,Trustness, and Product Brand proposed by previous studies. Then, by comparing the importance of each evaluation factor in the two datasets of satisfaction and dissatisfaction, we find out the factors that affect consumer satisfaction and dissatisfaction, and compare the differences between users in Korea and China. We found Trustness and Reachability are very important factors. Finally, through language network analysis, the relationship between dissatisfied factors is analyzed from a more microscopic level, and improvement plans are proposed to the companies according to the analysis results.

Comparison of Stock Price Prediction Using Time Series and Non-Time Series Data

  • Min-Seob Song;Junghye Min
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.8
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    • pp.67-75
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    • 2023
  • Stock price prediction is an important topic extensively discussed in the financial market, but it is considered a challenging subject due to numerous factors that can influence it. In this research, performance was compared and analyzed by applying time series prediction models (LSTM, GRU) and non-time series prediction models (RF, SVR, KNN, LGBM) that do not take into account the temporal dependence of data into stock price prediction. In addition, various data such as stock price data, technical indicators, financial statements indicators, buy sell indicators, short selling, and foreign indicators were combined to find optimal predictors and analyze major factors affecting stock price prediction by industry. Through the hyperparameter optimization process, the process of improving the prediction performance for each algorithm was also conducted to analyze the factors affecting the performance. As a result of feature selection and hyperparameter optimization, it was found that the forecast accuracy of the time series prediction algorithm GRU and LSTM+GRU was the highest.

A Comparison of Quality Assurance Systems in International Students' Education: Australia, Canada, the Netherlands's Cases (외국인 유학생 교육기관 인증제 국제 비교 연구)

  • Byoun, Su-Youn;Byun, Ki-Yong
    • Korean Journal of Comparative Education
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    • v.24 no.1
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    • pp.1-29
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    • 2014
  • The purpose of this case study is to examine and compare the basic characteristics of quality assurance systems of the 3 leading countries in international higher education: Australia, Canada, and the Netherlands. The comparative analysis of the three cases demonstrates that, taking a more commercial stance on the international education service market, quality assurance systems of the 3 countries aim at facilitating effective promotion of student recruitment and enhancing their national brand image as advanced knowledge society. Consequently, rules and regulations of their systems are concerned primarily with strengthening institutional capacities to educate international students effectively, and, ultimately, improving their learning experiences in the host countries. Compared to these foreign cases, the newly-adopted quality assurance system in Korea places too much emphasis on internationalization process itself, thereby neglecting evaluation of educational capabilities of higher education institutions. Further implications for improvement of the Korean International Education Quality Assurance System(IEQAS) are discussed.

Comparison of Fentanyl-Based Rapid Onset Opioids for the Relief of Breakthrough Cancer Pain: Drug Price Based on Effect Size

  • Seongchul Kim;Hayoun Jung;Jina Park;Jinsol Baek;Yeojin Yun;Junghwa Hong;Eunyoung Kim
    • Korean Journal of Clinical Pharmacy
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    • v.33 no.1
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    • pp.43-50
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    • 2023
  • Background and Objective: With the advancement of cancer treatments and increased life expectancy, managing breakthrough cancer pain (BTcP) is essential to improve the quality of life for cancer patients. This study aimed to compare the major rapid onset opioids in Korea based on their characteristics and costs to determine the best option for each patient. Methods: Based on sales information from IQVIA-MIDAS, sublingual fentanyl tablet (SLF), fentanyl buccal tablet (FBT), and oral transmucosal fentanyl citrate (OTFC) were selected as the top three drugs for the treatment of BTcP in Korea, considering them the most comparable drugs. The cost and cost-pain relief ratio of the drugs for short-term (1 month) and long-term (1 year) treatment were compared and the ease of administration based on various factors, including pharmacokinetics, onset of action, and administration procedures were evaluated. Results: SLF was evaluated as the best overall in terms of rapid onset of action, ease of administration, and drug cost and also had the highest market share. SLF had the lowest cost pain relief ratio for both the initial and supplemental treatment for the 1-month pain intensity difference 15 (PID15) ratio. However, for the 1-month PID30 ratio, SLF was not superior to OTFC or FBT. The longer the breakthrough cancer pain duration, the more cost-effective the other rapid onset opioids. Conclusion: The rapid onset opioids that fit the patient's breakthrough cancer pain pattern have the best cost-effectiveness.

An Empirical Study on the Comparison of LSTM and ARIMA Forecasts using Stock Closing Prices

  • Gui Yeol Ryu
    • International journal of advanced smart convergence
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    • v.12 no.1
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    • pp.18-30
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    • 2023
  • We compared empirically the forecast accuracies of the LSTM model, and the ARIMA model. ARIMA model used auto.arima function. Data used in the model is 100 days. We compared with the forecast results for 50 days. We collected the stock closing prices of the top 4 companies by market capitalization in Korea such as "Samsung Electronics", and "LG Energy", "SK Hynix", "Samsung Bio". The collection period is from June 17, 2022, to January 20, 2023. The paired t-test is used to compare the accuracy of forecasts by the two methods because conditions are same. The null hypothesis that the accuracy of the two methods for the four stock closing prices were the same were rejected at the significance level of 5%. Graphs and boxplots confirmed the results of the hypothesis tests. The accuracies of ARIMA are higher than those of LSTM for four cases. For closing stock price of Samsung Electronics, the mean difference of error between ARIMA and LSTM is -370.11, which is 0.618% of the average of the closing stock price. For closing stock price of LG Energy, the mean difference is -4143.298 which is 0.809% of the average of the closing stock price. For closing stock price of SK Hynix, the mean difference is -830.7269 which is 1.00% of the average of the closing stock price. For closing stock price of Samsung Bio, the mean difference is -4143.298 which is 0.809% of the average of the closing stock price. The auto.arima function was used to find the ARIMA model, but other methods are worth considering in future studies. And more efforts are needed to find parameters that provide an optimal model in LSTM.

Distribution and Improvement of the Capital Market in Indonesia: A Comparative Study of Risk Management

  • Murtiadi AWALUDDIN;Rustan DM;HASBIAH;Muhammad Akil RAHMAN;Sri Prilmayanti AWALUDDIN;Nadya Yuni BAHRA
    • Journal of Distribution Science
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    • v.21 no.5
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    • pp.11-18
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    • 2023
  • Purpose: The purpose of this article is to determine whether there are differences in the level of return and risk of the conventional and Islamic capital markets. Research design, data and methodology: This study takes data on the Jakarta Islamic Index (JII) and the Liquid-45 (LQ45) stock groups in the 2017 to 2020 period. The research approach used is quantitative research with a type of comparison. The data used secondary data sourced from the closing price of shares on the Indonesia Stock Exchange. The statistical method used to test the hypothesis is a different test or independent sample t-test. Results: There is a significant difference between the rate of return and investment risk in JII and LQ-45. The rate of return and risk of investing in LQ-45 is higher than that of JII. Conclusions: There is a significant difference in the rate of return on investment in Jakarta Islamic Index (JII) and LQ-45, including conventional stock Liquid-45 (LQ-45) is higher than the rate of return on shares of JII shares. There is a significant difference in the level of investment risk in the Jakarta Islamic Index (JII) and the Liquid-45 (LQ-45), where the risk level for the LQ-45 is higher than that of the JII shares.