• Journal of Sensor Science and Technology
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• v.19 no.3
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• pp.191-196
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• 2010

In this paper, modeling of the non-ideal frequency response, especially "notch-and-spike" magnitude phenomenon and phase lag distortion, are discussed. To characterize the non-ideal frequency response, a new electro-mechanical simulation model based on SPICE is proposed using the driving loop of the capacitive vibratory gyroscope. The parasitic components of the driving loop are found to be the major factors of non-ideal frequency response, and it is verified with the measurement results.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.870-881
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• 2020

This paper presents cell ID (cell identity) detection schemes using PSS/SSS (primary synchronization signal/secondary synchronization signal) for 5G NR (new radio) system and evaluates the detection performance. In this paper, we consider two cell ID detection schemes, i.e. two-stage detection and joint detection schemes. The two-stage detection scheme consists of two stages which estimate a channel gain between a transmitter and receiver and detect the PSS and SSS sequences. The joint detection scheme jointly detects the PSS and SSS sequences. In addition, this paper presents coherent and non-coherent combining schemes. The coherent scheme calculates the correlation value for the total length of the given PSS and SSS sequences, and the non-coherent combining scheme calculates the correlation within each group by dividing the total length of the sequence into several groups and then combines them non-coherently. For the detection schemes considered in this paper, the detection error rates of PSS, SSS and overall cell ID are evaluated and compared through computer simulations. The simulation results show that the joint detection scheme outperforms the two-stage detection scheme for both coherent and non-coherent combining schemes, but the two-stage detection scheme can greatly reduce the computational complexity compared to the joint detection scheme. In addition, the non-coherent combining detection scheme shows better performance under the additive white Gaussian noise (AWGN), fixed, and mobile environments.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.185-190
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• 2020

The programming education of non-computer major undergraduates aims to increase the their problem-solving and coding skills so that the skills can be applied to various fields and motivate them to continuously study computer or programming. However, it difficult for them to recognize the necessity of programming knowledge and to find out how it can be used in their major. Therefore, the professor needs to give students a full explanation of their roles to play. In this paper, we revisit the necessity of programming knowledge for non-computer major undergraduates by looking at the convergence cases of ICT technology and the humanities and social arts fields. And we propose an instruction direction of programming learning for them.

• Journal of The Korean Association For Science Education
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• v.29 no.8
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• pp.910-922
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• 2009

The purpose of the study was to investigate the professional level of the Korean non-physics major middle-school science teachers in 'force and motion' content knowledge. For the study, nine science teachers who majored in chemistry, biology, or earth science were sampled from middle-schools in a big city in Korea. The physics concept test-tool (subjective type), which the authors developed, were administered, and then followed by in-depth interviews. The research findings are as follows: Firstly, non-physics major science teachers' correct answer rate in physics knowledge test of secondary school level was not so high that they may have difficulty in teaching correct concepts in physics to middle-school students. Secondly, some teachers show that they can not apply some physics concepts from one to another situation. That means that they may have difficulty in teaching physics conceptual application in various situations to students.

• Journal of the Ergonomics Society of Korea
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• v.31 no.5
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• pp.695-704
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• 2012

Objective: The purpose of this study was to investigate major factors influencing adoption of smartphone to promote its use by older adults. Background: Despite increasing proportion of elderly people and elderly market, the proportion of elderly smartphone user is still relatively small compared to whole smartphone users. Thus, we need to find out major factors influencing adoption of smartphone to increase proportion of elderly smartphone users. Method: Seven major factors were extracted from 36 survey questions using factor analysis. Regression analysis was also applied to determine specific factors affecting intention of use based on user versus non-user of smartphone, age, gender, and educational background. Results: As results of factor analysis and regression analysis, major factors influencing adoption of smartphone for elderly users were significantly different according to gender, age, educational background based on smartphone users or non-users. Conclusion: The result of this study identified major factors influencing adoption of smartphone for the elderly and provided basic information related to adoption of smartphone according to elderly people's characteristics. Consequently, we can expect to reduce the information gap and to improve quality of life for the elderly. Application: The development and marketing strategy could be applied differently based on the factors influencing adoption of smartphone. It is also possible to develop a prediction model for smartphone adoption according to elderly users' characteristics.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.114-121
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• 2019

The purpose of this study was to examine the effects of the undergraduate research program(URP) among Korean students. URP is frequently implemented in STEM(Science, Technology, Engineering, Math) majors, and this study tested whether the participation of URP was effective in convergence competency, major satisfaction, and academic achievement. Data were collected from 101 participants and 117 non-participants of URP at an A university. The research results showed that the mean scores of convergence competency, major satisfaction, and academic achievement of the URP participating group were significantly higher than those of the non-participating group.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.5
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• pp.500-508
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• 2018

Objective: The aim of this study was to evaluate the clinical characteristics of heat stroke in a bath facility and investigate predictive factors of multiple major complications in heat stroke patients. Methods: This was a retrospective study on heat stroke patients who visited an urban emergency center from January 2010 to March 2018. We compared clinical characteristics, complication, and outcomes of heat stroke patients in bath and non-bath facilities. Multivariate logistic regression analysis were performed to identify independent predictors of multiple major complications in heat stroke patients. Results: A total of 67 heat stroke patients with heat stroke were enrolled, of which 42 (62.6%) were in a bath facility and 25 (37.3%) were in a non-bath facility. Patients with heat stroke in the bath facility were characterized by old age, past medical history of hypertension and diabetes mellitus, and high incidence of hypotension compared with those in the non-bath facility but also low incidence of acute renal failure, seizure, and multiple major complications. In the multivariate analysis, predictive factors of multiple major complications in heat stroke patients were non-bath facility (odds ratio [OR], 5.4; 95% confidence interval [CI], 1.2-29.9), Glasgow Coma Scale (GCS)${\leq}8$ (OR, 8.2; 95% CI, 1.3-49.4), and mean arterial pressure (MAP), body temperature above $40.5^{\circ}C$ (OR, 8.1; 95% CI, 1.1-58.8) <60 mmHg (OR, 14.8; 95% CI, 1.8-122.9). Conclusion: Heat stroke in the bath facility resulted in less major complications, and high body temperature, GCS ${\leq}8$, and MAP <60 mmHg were independent predictive factors of multiple major complications in heat stroke patients.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.2
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• pp.141-148
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• 2014

In this work, effects of plasma on different hardness of welding steel using laser-induced breakdown spectroscopy were investigated. The ratios of ionic to atomic spectrum peaks were related to its material hardness. The major spectrum peak (Fe) and minor spectrum peak (Mn) were considered as monitoring elements. The stronger repulse plasma was generated, the harder material it was. The ratios of ionic to atomic spectrum peaks increased with respect to the material hardness as well. The correlation of minor spectrum peaks was stronger than that of major spectrum peaks. However, the major spectrum peaks indicated a similar trend, which could be used to estimate the hardness, too. Based on this result, the method could be used as a non-contact remote measurement of material properties.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.35-39
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• 2018

More and more universities are enforcing SW education for non-major undergraduates. However, they are experiencing difficulties in educating non-major students to understand computational thinking processes. In this paper, we did not use the mathematical operation problem to solve this problem. And we proposed a basic problem-solving process teaching method based on computational thinking using simple physical devices. In the proposed educational method, we teach a LED circuit using an Arduino board as an example. And it explains the problem-solving process with computational thinking. Through this, students learn core computational thinking processes such as abstraction, problem decomposition, pattern recognition and algorithms. By applying the proposed methodology, students can gain the concept and necessity of computational thinking processes without difficulty in understanding and analyzing the given problem.

• Journal of Creative Information Culture
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• v.7 no.2
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• pp.69-77
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• 2021

In the past, computer programming was a course taken by students of computing domain majors. With the advent of the fourth industrial revolution, students in all major fields are taking it as the general required course. However, students have difficulties in learning new subject such as unfamiliar computational problem solving approach and general purposed programming language, which can lead to negative phenomena such as learning effectiveness, confidence, and decreased interest. In this paper, the causes of difficulties experienced by non-majors students while learning programming language are analyzed and identified through qualitative and quantitative research on questionnaires, journals, and achievements. Thus, we suggest that designing an educational plan that minimizes difficulties.