• 창의정보문화연구
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• 제7권4호
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• pp.217-224
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• 2021

인공지능 등의 4차 산업 기술의 발전과 코로나 상황으로 인해 최근의 대학 사회는 급격하게 변화하고 있다. 대학의 입시 환경도 심각하게 어려워지고 있어 대학 내에서 학과와 전공이 급속하게 변화하고 있다. 따라서, 대학의 학과는 학과의 내·외부 환경에 따라 새로운 전공 또는 융합 전공을 위한 교육과정을 개발할 필요가 있다. 하지만, 이러한 교육과정을 정확하게 개발하는 것은 매우 어렵고 긴 시간이 걸리는 작업이다. 본 논문에서는 국가직무능력표준(NCS)을 사용한 교육과정 개발 방법과 적용 사례를 제안하고 있다. 본 논문에서 제시한 교육과정 개발 방법은 전통적인 3단계 방식, 즉 분석, 설계, 그리고 개발로 구성되어 있으며, 각 단계에서 NCS를 활용하였다. 본 논문에서 제안한 방법은 교육과정 개발의 시간을 줄이는 것에 중점을 두었으며, 제안한 방법의 유용성을 보여주기 위해서 교육과정 개발의 한 사례를 제시하였다.

• 인간식물환경학회지
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• 제24권6호
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• pp.707-718
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• 2021

Background and objective: Due to the recent crisis of extinction in local areas, the mountain village promotion policy is recognized as an important task. This study examined the priorities of major policy projects in the forest sector that affect mountain village promotion. Methods: For research methods, literature search, expert advisory meetings, and a survey were conducted. The survey was conducted on 42 policy stakeholders from June 1 to August 13, 2021. The literature search was based on policy projects in the forest sector by 8 upper-level local governments including mountain villages. For questionnaire items, 173 forest policy projects were classified into 27 types through expert review, and the importance and performance of each type were rated on a 5-point Likert scale. Paired t-test, IPA, Locus for Focus model, and Borich needs assessment were used as the analysis methods, and the statistical program SPSS 21.0 was used as the analytical tool. Results: The results showed that 'creating forest-related jobs' and 'supporting cultivation of professional forestry workers' both showed high importance and performance, implying that they would show an effect in mountain village promotion. 'Creating forests for environmental improvement', 'discovering forest cultural assets' 'establishing and boosting forest tourism', 'providing forest therapy services', 'creating forest-related jobs', 'supporting community revitalization', and 'urban-rural exchanges' were found to be the types that needed improvement and concentration for mountain village promotion. In particular, 'creating forests for environmental improvement' and 'discovering forest cultural assets' were derived as priority considerations for mountain village promotion policies. Conclusion: In summary, it was found that in order to promote mountain villages, various content projects must be improved and carried out to enhance the physical environment and revitalize mountain villages.

• 디지털융복합연구
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• 제20권2호
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• pp.415-424
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• 2022

본 연구는 TV 멀티뷰 현황과 이용행태를 조사하고, 멀티뷰 조작법의 사용성을 평가하는 사용자 경험 연구이다. TV는 전통적인 TV 방송 프로그램 시청에서 노트북이나 모바일을 연결해 다목적으로 사용하는 확장형 미디어로 진화하고 있다. 멀티뷰 기능을 활용해 새로운 TV 사용을 경험할 수 있지만 아직까지 멀티뷰의 사용성에 관한 연구는 활발히 이루어지지 않은 상태이다. 본 연구에서는 사례 조사와 사전 설문조사를 실시해 사용자들이 중요하게 생각하는 요소와 이용행태를 파악하고, 멀티뷰 진입부터 종료까지의 전 과정을 태스크 기반으로 수행하는 사용성 테스트와 심층 인터뷰를 진행하였다. 그 결과, 사용자들은 상황에 따라 선호하는 진입 방식과 조작 기능이 달랐고, 멀티뷰를 쉽게 접근할 수 있는 직관적인 인터페이스와 사용자 경험이 개선되어야 한다는 인사이트를 얻을 수 있었다. 본 연구는 사용자 중심의 멀티뷰로 개선하기 위한 방안을 모색하는데 기여할 것으로 기대된다.

• 대한의용생체공학회:의공학회지
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• 제43권6호
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• pp.375-381
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• 2022

Brain-computer interface (BCI) is a technology that allows users with motor disturbance to control machines by brainwaves without a physical controller. Motor imagery (MI)-BCI is one of the popular BCI techniques, but it needs a long calibration time for users to perform a mental task that causes high fatigue to the users. MI is reported as showing a similar neural mechanism as motor execution (ME) and motor observation (MO). However, integrative investigations of these three tasks are rarely conducted. In this study, we propose a new paradigm that incorporates three tasks (MI, ME, and MO) and conducted a comparative analysis. For this study, we collected Electroencephalograms (EEG) of motor imagery/execution/observation from 28 healthy subjects and investigated alpha event-related (de)synchronization (ERD/ERS) and classification accuracy (left vs. right motor tasks). As result, we observed ERD and ERS in MI, MO and ME although the timing is different across tasks. In addition, the MI showed strong ERD on the contralateral hemisphere, while the MO showed strong ERD on the ipsilateral side. In the classification analysis using a Riemannian geometry-based classifier, we obtained classification accuracies as MO (66.34%), MI (60.06%) and ME (58.57%). We conclude that there are similarities and differences in fundamental neural mechanisms across the three motor tasks and that these results could be used to advance the current MI-BCI further by incorporating data from ME and MO.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• 한국자원식물학회지
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• 제35권6호
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• pp.785-795
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• 2022

Traditional germplasms are unsuitable for mechanized production, limiting adzuki bean production. The creation of cultivars that can be harvested by mechanized means is an urgent task for breeders. The bottom pod height (BPH), lodging resistance, and synchronous maturing of adzuki beans are critical factors for the reduction of losses due to mechanized harvesting. In this study, 14 traits of 806 adzuki bean accessions were analyzed. All growth stages and the yield, lodging score, and synchronous maturing correlated negatively with the BPH. These negative correlations reflect the increased difficulty of breeding to simultaneously satisfy the needs for no lodging, high synchronous maturing rates, BPHs > 10 cm, and high yield. We screened three germplasms with no lodging, high synchronous maturing rates, and BPHs > 10 cm that were used as mechanization-adapted breeding material for crossing with high-yield cultivars. Agronomic trait diversity in adzuki beans was also examined in this study. Principal component and cluster analyses were conducted for 806 germplasms resulting in three clusters with the yield and three growth stage traits serving as the main discriminating factors. Cluster 1 included high-yield germplasms with the number of pods per plant and the number of seeds per pod being the major discriminant factors. Cluster 2 included germplasms with long growth periods and large 100-seed weights while cluster 3 contained germplasms with high BPHs. In general, the characteristics that make mechanical harvesting feasible and those assessed in this study could be utilized to choose and enhance adzuki beans production.

• International Journal of Computer Science & Network Security
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• 제23권5호
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• pp.172-178
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• 2023

In this paper, performance of autoencoder based OFDM communication systems is compared with IEEE 802.11a Wireless Lan System (Wi-Fi). The proposed autoencoder based OFDM system is composed of the following steps. First, one sub-carrier's transmitter - channel - receiver system is created by autoencoder. Then learning process of the one sub-carrier autoencoder generates constellation map. Secondly, using the plural sub-carrier autoencoder systems, parallel bundle is configured with inserting IFFT and FFT before and after the channel to configure OFDM system. Finally, the receiver part of the OFDM communication system was updated by re-learning process for adapting channel condition such as multipath channel. For performance comparison, IEEE802.11a and the proposed autoencoder based OFDM system are compared. For channel estimation, Wi-Fi uses initial long preamble to measure channel condition. but Autoencoder needs re-learning process to create an equalizer which compensate a distortion caused by the transmission channel. Therefore, this autoencoder based system has basic advantage to the Wi-Fi system. For the comparison of the system, additive random noise and 2-wave and 4-wave multipaths are assumed in the transmission path with no inter-symbol interference. A simulation was performed to compare the conventional type and the autoencoder. As a result of the simulation, the autoencoder properly generated automatic constellations with QPSK, 16QAM, and 64QAM. In the previous simulation, the received data was relearned, thus the performance was poor, but the performance improved by making the initial value of reception a random number. A function equivalent to an equalizer for multipath channels has been realized in OFDM systems. As a future task, there is not include error correction at this time, we plan to make further improvements by incorporating error correction in the future.

• 의학교육논단
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• 제25권2호
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• pp.159-173
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• 2023

The purpose of this study was to develop and validate a competency tool for new nurses and to pilot-test it with new nurses. A Delphi survey was conducted to develop a competency tool, and a self-evaluation was conducted among new nurses who pilot-tested the finally derived competencies. The Delphi survey panel consisted of 18 people, including adjunct professors at the College of Nursing, nursing managers, and nurses with master's degrees. The Delphi survey asked about the validity of the competencies constructed in two rounds. After analyzing the Delphi results with mean, standard deviation, content validity ratio, degrees of convergence, and degrees of consensus, 12 core competencies and 36 enabling competencies were finally derived. The competencies consisted of clinical judgment and management (nine items), task competence (four items), patient orientation (five items), moral value orientation (three items), cooperation (two items), supply management (two items), professional development (three items), confidence (one item), self-control (two items), flexibility (two items), influence (one item), and nurturing others (two items). The finally derived competencies were pilot-tested with 229 new nurses who had worked for 2-12 months. The self-evaluation scores of new nurses were distributed differently according to their working period. In this study, the competencies required for new nurses were identified and the corresponding enabling competencies were identified. In the future, it is expected that a competency-based education program will be prepared based on these findings, and furthermore, it will be possible to provide high-quality medical and nursing services that meet patients' needs by improving the competency of new nurses and lowering the turnover rate.

• 실천공학교육논문지
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• 제14권3호
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• pp.555-563
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• 2022

본 연구는 외국인학습자들 사이의 PBL의 상호작용을 강화하고자 메타버스 도구를 활용한 e-PBL의 교육적 효과를 탐색하였다. C대학교의 매주 3시간의 15주차의 PBL 교과목을 비대면 상황에 맞추어 체계적으로 재구성하였고 우리 사회 이슈와 밀접한 실제적인 문제해결을 e-PBL로 수행하는 과정에서 상호작용의 도구로서 메타버스 테크놀로지를 활용하였다. 11개 국적의 43명의 참여 수강생 중 절반 이상인 외국인 학습자들로 구성된 e-PBL 강의에서 언어와 국적을 초월하여 효과적인 소통의 도구로서의 메타버스 활용을 통해 학습자들은 프로젝트 활동에 한층 더 능동적으로 상호작용할 수 있음을 확인하였다. 메타버스 공간에서 팀 구성원들간의 언어적 소통 외의 다양한 비언어적 소통이 가능했고 그 과정에서 메타버스 공간 특유의 행동 유도 기능들은 매우 유용하게 작용했음을 확인 할 수 있었다. 본 연구를 통해 언어적 의사소통이 완벽하지 않은 학습자들간의 상호작용을 개선하기 위한도구로서의 메타버스 활용 e-PBL 교수방법을 모색하는 계기가 될 수 있다.

• 융합경영연구
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• 제12권2호
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• pp.11-18
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• 2024

Purpose: The purpose of this study is to suggest the activation plan of the post-construction sales through the results of a survey on the perception of Seoul citizens and experts. Research design, data and methodology: The purpose of this study is to suggest the activation plan of the post-construction sales through the results of a survey on the perception of Seoul citizens and experts. Results: According to a survey of Seoul citizens' perceptions, 76.7% of Seoul citizens were well aware of post-construction sales and recognized that post-construction sales would reduce pre-sale speculation and confusion in the real estate market. Second, 73.6% of Seoul citizens were willing to buy houses through post-construction sales, and third, 79.6% of Seoul citizens recognized that a post-sale system was necessary. Experts' opinions generally responded to the expansion of the introduction of post-construction sales, saying, 'It is necessary for both the public and the private sectors'. Second, while experts say that there are also positive effects, negative effects such as polarization centered on large corporations, an increase in sales prices, and a decrease in housing supply are also concerned. Third, experts responded that 'diversification of financing methods' is the most important task in revitalizing the post-sale system. Conclusions: The policy implications are that it is necessary to mandate the post-construction sales in the long term, and that the quality assurance system needs to be supplemented even if the sale is promoted post-construction sales. In addition, private participation is essential to revitalize the post-construction sales, and government support such as initial financing, low-interest rates, and various financing measures should be sought to expand private participation.