• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1054-1057
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• 1993

A direct method of fuzzy inference and a fuzzy algorithm with learning function are applied to the steam generator level control of nuclear power plant. The fuzzy controller by use of direct inference can control the steam generator in the entire range of power level. There is a little long response time of fuzzy direct inference controller at low power level. The rule base of fuzzy controller with learning function is divided into two parts. One part of the rule base is provided to level control of steam generator at low power level (0%∼30% of full power). Response time of steam generator level control at low power level with this rule base is shown generator level control at low power level with this rule base is shown to be shorter than that of fuzzy controller with direct inference.

• Korean Journal of Materials Research
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• v.17 no.7
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• pp.347-351
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• 2007

Vertical interconnect technology called 3D stacking has been a major focus of the next generation of IC industries. 3D stacked devices in the vertical dimension give several important advantages over conventional two-dimensional scaling. The most eminent advantage is its performance improvement. Vertical device stacking enhances a performance such as inter-die bandwidth improvements, RC delay mitigation and geometrical routing and placement advantages. At present memory stacking options are of great interest to many industries and research institutes. However, these options are more focused on a form factor reduction rather than the high performance improvements. In order to improve a stacked device performance significantly vertical interconnect technology with wafer level stacking needs to be much more progressed with reduction in inter-wafer pitch and increases in the number of stacked layers. Even though 3D wafer level stacking technology offers many opportunities both in the short term and long term, the full performance benefits of 3D wafer level stacking require technological developments beyond simply the wafer stacking technology itself.

• Food Science and Biotechnology
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• v.18 no.6
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• pp.1541-1544
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• 2009

This study evaluated effects of enzymatic hydrolysates of squid on cholesterol lowering in rats. Thirty male rats were blocked into 3 groups [high cholesterol diet (control), 5% normal squid, and 5% enzymatic hydrolysates of squid] and were raised for 10 weeks. Triglyceride level in enzymatic hydrolysates of squid-fed rats was lower than that in the control. Serum low density lipoprotein-cholesterol level followed in the order of control>normal squid>enzymatic hydrolysates. Serum high density lipoprotein-cholesterol level in enzymatic hydrolysates of squid-fed rats was higher than that in control rats. Liver cholesterol level in enzymatic hydrolysates of squid-fed rats was lower than that in control rats.

• Journal of Technologic Dentistry
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• v.41 no.2
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• pp.113-122
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• 2019

Purpose: This study analyzed the difference in participation motive, expectation for educational institution and educational satisfaction depending on participation level of students of advanced course for bachelor of dental technology. Methods: 81 students of advanced course for bachelor of dental technology from four university were selected by convenience sampling method. To analyzed influence of participation level depending on participation motive, expectation for educational institution and educational satisfaction, regression analysis was carried out. Results: The participation level of the students was found to be influenced by the educational satisfaction, participation motive and expectation for educational institution. Conclusion: Based on the results, it is important to understand the participation motive of the students and to offer satisfaction environment and administrative support for enhancing the expectation for education for educational institution.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.671-678
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• 2021

In a previous study, technology protection levels were set on a qualitative basis. That study lacked quantitative standards, so here, we conduct a study to complement the previous study and to present an objective standard. This paper provides a method of setting a technical protection level that applies statistical analysis. To set the technology protection level, statistical analysis of six technical survey items is performed first. Second, the technical survey items are analyzed by AHP to quantify the opinions of experts in order to derive weights for each technical survey item. Finally, by using the normal distribution scatter map and median calculation method, the technology protection level is selected in three stages using the final detailed factor technology score reflecting the weight. The technology protection level methodology developed through this study is the first methodology with objectivity that can evaluate defense technology by level. If this methodology is applied in practice, it is believed that it will provide a scientific and quantitative technology value judgment criterion when setting the technology protection level in the future.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.1-8
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• 2020

Artificial-intelligence (AI) technology is used in a variety of fields, from robot cleaner motion control to call center counselors, AI speakers, and Mars exploration. Because the technology levels of all applications and services that utilize AI vary widely, it is not possible to view all applications using AI technology at the same level. Nevertheless, there have been no cases in which the level of AI technology was defined. Therefore, the Electronics and Telecommunications Research Institute (ETRI) Artificial Intelligence Research Laboratory has defined the levels of the main technical elements of AI from steps 1 to 6. In this report, the Artificial Intelligence Technology Level 1.0 (ATL 1.0) is presented. It was established by comprehensively referring to the AI technology prospects and technology roadmaps of major countries. It is hoped that it can be used as a measure for determining the levels of AI applications or services or as an indicator for establishing a technology roadmap.

• Journal of the Semiconductor & Display Technology
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• v.21 no.2
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• pp.123-126
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• 2022

We investigated deep levels in n-type 4H-SiC epitaxy layer of the Positive-Intrinsic-Negative diode and Schottky barrier diodes by using deep level transient spectroscopy. Despite the excellent performance of 4H-SiC, research on various deep level defects still requires a lot of research to improve device performance. In Positive-Intrinsic-Negative diode, two defects of 196K and 628K are observed more than Schottky barrier diode. This is related to the action of impurity atoms infiltrating or occupying the 4H-SiC lattice in the ion implantation process. The I-V characteristics of the Positive-Intrinsic-Negative diode shows about ~100 times lower the leakage current level than Schottky barrier diode due to the grid structures in Positive-Intrinsic-Negative. As a result of comparing the capacitance of devices diode and Schottky barrier diode devices, it can be seen that the capacitance value lowered if it exists the P implantation regions from C-V characteristics.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.8
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• pp.1285-1290
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• 2018

Objective: This study shows the effects of dietary fiber levels on cecal microbiota composition in geese at day 70 according to pyrosequencing of the 16S ribosomal RNA gene. Methods: A total of 468 1-day-old healthy male Yangzhou goslings with similar body weight were randomly divided into 3 groups with 6 replicates per group and 26 geese per replicate. Geese were fed diets with fiber levels of 2.5% (low fiber level diet, Group I) and 6.1% (Group III) during days 1-70, respectively, or 4.3% for days 1-28 and 6.1% for days 29-70 (Group II). Results: Low fiber level diet decreased body weight, average daily gain during, increased lower feed conversation rate of geese during day 1 to 70 (p<0.05). Low fiber level diet decreased the total operational taxonomic units, Chao1 index and Shannon index, whereas increased the Simpson index of cecal microbiota in geese at day 70. Low fiber level diet decreased the relative abundance of Bacteroidetes, Firmicutes, Bacteroides, and Paraprevotella in cecum of geese at day 70. The similarity of cecal microbiota between low fiber level diet group and other groups was smaller. Conclusion: This study indicates that the low fiber level diet decreased diversity of microbiota, and relative abundance of some beneficial microbiota in cecum of geese at day 70, implying that the low fiber level diet has negative influence on performance by altering the diversity and population of cecal microbiota in geese.

• Journal of Information Technology Services
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• v.15 no.2
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• pp.107-123
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• 2016

The purpose of this study is to find the continuance intention to use for reCAPTCHA technology which has information security and social contributions (decrypting archives) according to the user's pro-social level. In this research, reCAPTCHA technique generally gives users to information security and decrypting archives. However, as a result of preliminary survey, most users were not even aware of information security and social contributions (decrypting archives) functions. Therefore, in this research, we will measure with two kinds of focus. The first is the assumption that there will be also a difference in the continuance use depending pro-social level of the user of information technology, second we explain only the function of information security to the first group as well as decrypting archives to the second group. Generally, pro-social means that degree of understanding and supporting to the other people's interest, actions, needs, help, and care. In this research, we assume that if users have a low level of others care, they might evaluate that reCAPTCHA technology's social contributions is low. While they have a high level of others care, they recognize reCAPTCHA technology's social contribution is high and then they tend to use this technology continuously. Through this research, we finally find the most efficient way to increase the degree of continuance use of information technology.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.347-357
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• 2020

This research aims to shed light on the technology adoption process and its drivers in the Vietnamese educational system. Research data was collected with an online questionnaire from more than 600 teachers in primary schools, secondary schools, high schools, colleges, and universities in Vietnam in 2020. Based on a holistic literature review, we develop a model of two extrinsic factors (global needs and school-infrastructure), and two intrinsic factors (teachers' technological literacy and their beliefs), which are correlated with the teachers' technological adoption. We measure the dependent variable by asking the teachers' ability and their efficacy to implement technology in teaching according to a Likert scale. With the support of SPSS_22 and STATA_2015, we find that over 70% of changes in technology adoption are explained by the changes in four independent variables and three control variables related to age, gender, and teaching-level of the teachers. Furthermore, these independent variables are significantly and positively associated with two dependent variables. However, a significant difference in technology integration ability can be seen among teachers' gender, age, and school-level. Specifically, male teachers seem to adopt technology at schools than female teachers better, and university teachers have the lowest level of technology adoption compared to other school-level teachers.