• Journal of Information Display
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• v.5 no.2
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• pp.39-42
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• 2004

A novel fast-switching LCD with dual-domain bend (DDB) mode is described. DDB alignment is achieved using antiparallel-rubbed cell filled with chiral-doped LC. Initial alignment is mono-domain 180-degree twist. Tilt direction is controlled by oblique electric field to be counter direction in each domain. Twist-to-DDB deformation occurs continuously so that DDB mode does not require high-voltage initialization which is inevitable in Optically Compen sated Bend (OCB) mode. DDB gives wide and symmetric viewing angle in contrast to mono-domain bend formed from 180-degree twist showing strong asymmetry.

• Journal of Drive and Control
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• v.13 no.1
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• pp.34-42
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• 2016

This study studied how the clearance, overlap and mismatch errors of spool-sleeve affect the static pressure characteristics of a servo valve. A computer simulation model was established as a direct acting servo valve and a series of simulations was conducted for various values of clearance, overlap and mismatch errors. Pressure gain decreased as the clearance increased. The overlap also affects the pressure gain and was similar to the effect of clearance. Asymmetry of the pressure plot got worse and worse as the mismatch error increased.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.193-200
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• 2019

Accruals-Quality(AQ) is an important proxy for evaluating the quality of accounting information disclosures. High-quality accounting information will provide high predictability and precision in the disclosure of earnings and will increase the response to stock prices. And high Accruals-Quality, such as mitigating heterogeneity in accounting information interpretation, provides information usefulness in capital markets. The purpose of this study is to suggest how AQ, which represents the quality of accounting information disclosure, is transformed into digitized data in real-time in combination with IT information technology and provided to financial analyst's information environment in real-time. And AQ is a framework for predictive analysis through big data log analysis system. This real-time information from AQ will help financial analysts to increase their activity and reduce information asymmetry. In addition, AQ, which is provided in real time through IT information technology, can be used as an important basis for decision-making by users of capital market information, and is expected to contribute in providing companies with incentives to voluntarily improve the quality of accounting information disclosure.

• Journal of Advanced Information Technology and Convergence
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• v.10 no.2
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• pp.83-90
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• 2020

A protocol HMNR, was proposed to utilize control information of every other process piggybacked on each sent message for minimizing the number of forced checkpoints. Then, an improved protocol, called Lazy-HMNR, was presented to lower the possibility of taking forced checkpoints incurred by the asymmetry between checkpointing frequencies of processes. Despite these two different minimization techniques, if the high message interaction traffic occurs, Lazy-HMNR may considerably lower the probability of knowing whether there occurs no Z-cycle due to its shortcomings. Also, we recognize that no previous work has smart procedures to be able to utilize network infrastructures for highly decreasing the number of forced checkpoints with dependency information carried on every application message. We introduce a novel Lazy-HMNR protocol for group communication-based distributed computing systems to cut back the number of forced checkpoints in a more effective manner. Our simulation outcomes showed that the proposed protocol may highly lessen the frequency of forced checkpoints by comparison to Lazy-HMNR.

• The Journal of Small Business Innovation
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• v.20 no.3
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• pp.19-30
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• 2017

Today's new engine of economic growth is innovative technology intensive SMEs. However, they have limited access to funding because of asymmetric information problems. Sharing of SME information helps reduce information asymmetry. This paper explains the Korean system of SME technology information sharing, as well as SME credit information sharing. It also provides theoretical analysis about the effects of the SME information sharing on banks' credit analysis activities, based on Karapetyan and Stacescu (2013). Sharing of SME credit and technology information expands the data set of banks and it will enhance their credit analysis. In addition, SME information sharing increases banks' investments in credit analysis activities. To encourage SME information sharing and production, the government can subsidize the production of SME technology information.

• Journal of the Korean Society for Precision Engineering
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• v.25 no.12
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• pp.39-46
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• 2008

Asymmetric glass lens core for portable projection optic system was designed and simulated. And it was machined by newly developed non-rotational ultra precision grinding method. With the designed lens data which optimized for multi-collimation, we generated the we core surface data. Mold pressing conditions analyzed by FEM. In the machining process, ground profile errors were compensated based on measured data, minimized feed rate and depth of cut. The deviations of machined core profile were acceptable level for glass mold press. Mold pressed glass array lens was coated with $SiO_2\;and\;Ta_2O_5$ for anti-reflection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3923-3942
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• 2022

Environment, price, regulation, and other factors influence the price of agricultural products, which is a social signal of product supply and demand. The price of many agricultural products fluctuates greatly due to the asymmetry between production and marketing details. Horticultural goods are particularly price sensitive because they cannot be stored for long periods of time. It is very important and helpful to forecast the price of horticultural products which is crucial in designing a cropping plan. The proposed method guides the farmers in agricultural product production and harvesting plans. Farmers can benefit from long-term forecasting since it helps them plan their planting and harvesting schedules. Customers can also profit from daily average price estimates for the short term. This paper study the time series models such as ARIMA, SARIMA, and neural network models such as BPN, LSTM and are used for wheat cost prediction in India. A large scale available data set is collected and tested. The results shows that since ARIMA and SARIMA models are well suited for small-scale, continuous, and periodic data, the BPN and LSTM provide more accurate and faster results for predicting well weekly and monthly trends of price fluctuation.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.165-182
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• 2019

An equity crowdfunding system of Korea has been introduced since January 25, 2016. The crowdfunding has contributed to remove the funding gap for startups in Korea. In the three years since the introduction of the system, the amount issued has been growing annually 31 percent. In 2018, the general investors who participated in equity crowdfunding, account for 93.8% of the total market size. General investors are a large part of equity crowdfunding. Investors, however, are facing the information asymmetry problems. General investors rely heavily on the investment prospectus provided by startups to obtain the information they need to determine their investment decisions. Under these circumstances, startups have the incentive to provide information that is advantageous to them, and investors are likely to be adversely affected by the investment prospectus. In this study, we collected the novel crowdfunding prospectus dataset: a total of 459 investment prospectus and conducted a morphological analysis. The analysis showed that the more positive the word, the higher the success rate of investors' subscriptions. We also compared projects that were heavily invested by general investors with projects that were heavily invested by professional investors. Then, we were able to examine that the success rates of project subscription, which were heavily invested by general investors, were higher than the projects of professional investor type. It can be interpreted as a general investor driven crowdfunding market. Based on these results, we propose three policies. First, the supervisor should be strengthened to provide more detailed information on investment risk factors in the prospectus. Second, the crowdfunding intermediary should monitor information provided by startups. Third, an investor should be asked to add a question to the investment compliance test that allows the investor to recognize the problem in the manual.

• Nuclear Engineering and Technology
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• v.20 no.3
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• pp.189-196
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• 1988

This study investigates the effect of fuel pellet eccentricity on fuel rod thermal performance under the steady state condition. The governing equations in the fuel pellet and the cladding region are set up in 2-dimensional cylindrical coordinate (r, $\theta$) and are solved by finite element method. The angular-dependent heat transfer coefficient in the gap region is used in order to account for the asymmetry of gap width. Material propeties are used as a function of temperature and volumetric heat generation as a function of radial position. The results show the increase of maximum local heat flux at the cladding outer surface and the decrease of maximum and average fuel temperatures due to eccentricity. The former is expected to affect the uncertainties in the minimum DNBR calculation. The latter two are expected to reduce the possibility of fuel melting and the fuel stored energy. Also, the fuel pellet eccentricity introduces asymmetry in fuel pellet temperature and movement of the location of maximum fuel pellet temperature.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.31-39
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• 2015

In the modern society, as development innovative technology consumers could access various information. It make consumers empower in the market, and information asymmetry problem were solving more and more. In the technical information, however, there are still information asymmetry because technical information is very difficult to understand, and those are related with professional knowledge such as financial information. This study used the dataset which was collected to track Korean consumers consumption index by KCA(Korea Consumer Agency) which included consumer's problem experience at financial field. The results are followings. Firstly, consumers want to get exact and important information to decide purchase or not and comparative information in technical information area. Secondly, age is the influence variable to experience more problems in technical information section. Thirdly, consumer's subjective financial competency is major influence factor to reduce problem experience.