• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.129-152
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• 2021

Regardless of previous educational attempts in youth career education, there are not specific methods for reading to improve career maturity yet. This study aims to identify the reading method based on cognitive aspect which impacts career maturity and the mediation effect of self-efficacy in this process. This study tries to understand the roles of reading by applying the various reading methods suggested in the 2015 Revised National Curriculum. Data was collected through interviews and statistical analysis from a survey completed by middle school students. Findings showed that critical reading affected the decisiveness as well as the confidence of career maturity. Also, emotional reading and creative reading influenced the preparation of career maturity. Critical reading impacted all subvariables of self-efficacy - confidence, self-regulating efficacy, and task difficulty preference. Findings also showed that emotional reading affected self-regulating efficacy. Ultimately, the confidence of self-efficacy partly mediated critical reading and decisiveness. This study contributes to guiding reading instructions for practitioners and school curriculums to develop career maturity and self-efficacy.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.129-152
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• 2021

This study proposed a plan to develop wearable devices suitable for female college students by analyzing female college students' perceptions and preferences for wearable devices and their needs for health care using topic modeling and network analysis techniques. To this end, 2,457 posts related to health care and wearable devices were collected from the community used by S Women's University students. After preprocessing the collected posts and comment data, LDA-based topic modeling was performed. Through topic modeling techniques, major issues of female college students related to health care and wearable devices are derived, and bi-gram analysis and network analysis are performed on posts containing related keywords to understand female college students' views on wearable devices.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.1-8
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• 2023

In this paper, we propose a training method of a recommendation learning model that analyzes the battlefield situation and recommends a suitable hypothesis for the current situation. The proposed learning model uses the preference determined by comparing the two hypotheses as a label data to learn which hypothesis best analyzes the current battlefield situation. Our model is based on Siamese neural network architecture which uses the same weights on two different input vectors. The model takes two hypotheses as an input, and learns the priority between two hypotheses while sharing the same weights in the twin network. In addition, a score is given to each hypothesis through the proposed post-processing ranking algorithm, and hypotheses with a high score can be recommended to the commander in charge.

• Smart Media Journal
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• v.12 no.9
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• pp.89-94
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• 2023

Recommender systems provide users with the most favorable items by analyzing explicit or implicit feedback of users on items. Recently, as the size of deep-learning-based models employed in recommender systems has increased, many studies have focused on reducing inference time while maintaining high recommendation accuracy. As one of them, a study on recommender systems with a knowledge distillation (KD) technique is actively conducted. By KD, a small-sized model (i.e., student) is trained through knowledge extracted from a large-sized model (i.e., teacher), and then the trained student is used as a recommendation model. Existing studies on KD for recommender systems have been mainly performed only for implicit feedback settings. Thus, in this paper, we try to investigate the performance and accuracy when applied to explicit feedback settings. To this end, we leveraged a total of five state-of-the-art KD methods and three real-world datasets for recommender systems.

• Korean Journal of Optics and Photonics
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• v.35 no.2
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• pp.71-80
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• 2024

We developed a Raman lidar system for remote measurement of carbon dioxide present in atmospheric space. An air-cooled laser with 355-nm wavelength and a 6-inch optical receiver was used to miniaturize the Raman lidar system, and a scanning Raman lidar system was developed using a two-axis scanning device and a photon counter. To verify the performance of the developed Raman lidar system, a gas chamber capable of maintaining a concentration was located at a distance of about 87 m, and the change in Raman signal according to the change in the concentration of carbon dioxide was measured. As a result, it was confirmed that the change in the Raman scattering signal of carbon dioxide that appeared for a change in carbon dioxide concentration from about 0.67 to 40 vol% was linear, and the coefficient of determination (R²) value, which indicates the correlation between the carbon dioxide concentration and Raman scattering signal, showed a high linearity of 0.9999.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.864-868
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• 2006

댐과 양쪽의 산 능선에 감싸이어 있는 저수지의 모습은 이렇다할만한 특징을 찾아보기가 쉽지 않다. 우리나라의 각지에 건설되어진 다목적댐으로 인해 형성되어진 저수지들을 둘러보아도, 역시 주변의 지형을 자세히 비교해 보기 전에는 구별하기 힘들만큼, 그만큼 외관상으로는 닮아있다. 하지만, 이러한 저수지들이 보여주는 자연현상은 실제로는 너무나도 다양하다. 잔잔한 물 표면의 안쪽에 저마다 눈에 보이지 않는 특성들을 감추고 있으리라 추측해 본다. 하지만, 그 특성을 정량적으로 파악 하기란 좀처럼 쉽지가 않다. 영양염분의 과다 유입으로 부영양화가 초래되면 여기저기서 녹조를 발생 시키고, 또한 홍수나 상류 유역의 토사 붕괴로 인하여 좀처럼 침강되지 않는 미세 입자가 과다 유입되면, 1년 내내 누런 탁수로 몸살을 앓는다. 이처럼, 인간의 눈에 보여 지는 저수지는 '매우 닮은 모습에서 너무나 다른 모습'으로 '계단의 층계변화'와 같은 극단적인 상태 변화만이 파악되어진다. 최근에 들어서, 장비의 발달과 환경에 대한 관심의 고조로 한 달에 한번 많으면 일주일에 한 번씩 현장 조사를 수행하고는 있지만, 지속적으로 저수지를 파악하기 위한 '선형적인 현상'을 보여주기에는 충분하지가 않다. 본 연구에서는, 저수지 수온을 모니터링 함으로서, 홍수와 가뭄과 같은 이벤트 및 계절 변화로 인한 수체의 온도분포를 조사 하였다. 그 방법으로, 자체 개발한 써미스터체인을 용담호의 댐축 지점과 댐축으로부터 상류방향으로 6.6km 떨어진 유입지점의 두 곳에 설치하였으며, 연 중 10분 간격으로 수온데이터를 로거에 저장한 후, 두 달에 한번 정도로 센서 정비 및 데이터 수거를 실시하였다. 그 결과, 우리가 눈으로나 현지관측만으로는 파악할 수 없었던 수체내의 많은 특징을 파악 할 수 있었다.. 중랑천 유역의 소배수구역을 대상으로 연중 발생하는 큰 호우사상에 대해 임의의 강우관측소를 결측지점으로 가정하고 주변의 강우관측소로부터 각각의 방법을 이용해 가중치들을 산정하여 결측지점의 강우량 값을 보정하고자 하였다. 또한 각각의 방법을 이용하여 얻어진 결과에 대해 실측값과 보정값의 오차정도를 평균절대오차법(Mean Absolute Error)과 제곱평균제곱근오차법(Root Mean Squared Error)에 의해 산정하여 보정 방법간의 효율성을 검토하고자 하였다.9년, 그리고 2010년${\sim}$2019년까지 총 4구간으로 나누어 결과를 도출하였으며 예상한 바와 같이 후반기 20년 동안에 세 가지 지표가 취약해 지는 것을 확인할 수 있었고, 특히 2000년부터 2009년까지 10년 동안에는 더욱 취약해짐을 확인할 수 있었다.를 보임에 따라 그 정책적 효과는 때로 역기능적인 결과로 초래하였다. 그럼에도 불구하고 이 연구결과를 통하여 최소한 주식시장(株式市場)에서 위탁증거금제도는 그 제도적 의의가 여전히 있다는 사실이 확인되었다. 또한 우리나라 주식시장에서 통상 과열투기 행위가 빈번히 일어나 주식시장을 교란시킴으로써 건전한 투자풍토조성에 저해된다는 저간의 우려가 매우 커왔으나 표본 기간동안에 대하여 실증분석을 한 결과 주식시장 전체적으로 볼 때 주가변동율(株價變動率), 특히 초과주가변동율(超過株價變動率)에 미치는 영향이 그다지 심각한 정도는 아니었으며 오히려 우리나라의 주식시장은 미국시장에 비해 주가가 비교적 안정적인 수준을 유지해 왔다고 볼 수 있다.36.4%)와 외식을 선호(29.1%)${\lrcorner}$ 하기 때문에 패스트푸드를 이용하게 된 것으로 응답 하였으며, 남 여 대학생간에는 유의한 차이(p<0

• Journal of KIISE:Computer Systems and Theory
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• v.28 no.12
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• pp.660-673
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• 2001

In Video-on-Demand (VoD) servers, disk throughput is an important system design parameter because it is directly related to the number of user requests that can be served simultaneously. In this paper, we propose an efficient periodic request grouping scheme for disk array-based VoD servers that reduces the disk seek time, thus improving the disk throughput of VoD disk arrays. To reduce the disk seek time, the proposed scheme groups the periodic requests that access data blocks stored in adjacent regions into one, and arranges these groups in a pre-determined order (e.g., in left-symmetric or right-symmetric fashion). Our simulation result shows that the proposed scheme reduces the average disk bandwidth required by a single video stream and can serve more user requests than existing schemes. For a data block size of 192KB, the number of simultaneously served user requests is increased by 8% while the average waiting time for a user request is decreased by 20%. We also propose an adaptation technique that conforms the proposed scheme to the user preference changes for video streams.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.167-174
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• 2020

The social statistic was used to top 250 Korean and Japanese YouTube channels based on the number of subscribers examine its channel type (private/corporations/others), distribution of contents and private YouTube channels' date of registration. The channel examination was also used to provide practical hint to create new Youtube contents. According to the statistics, Korean channels were mainly managed by K-Culture related companies for the promotional purpose, whereas Japanese channels were mainly managed by individuals with a variety of contents. It is presumed that Japanese individuals have been engaged in creating individual video content since the early period through video uploading platforms other than YouTube such as Niconico Douga. Since the expansion of the YouTube market will continue, it is important not only to reinforce corporations' marketing on YouTube but also to promote the uniqueness and the diversity of YouTube content for the individuals to improve the economical, sentimental, and informational contents in order to create socially effective personal contents that can be competitive in the global market.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.431-436
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• 2020

Information service organizations that provide science and technology information with a relatively short information life cycle for free or paid are in need of reflecting rapidly changing user needs and behaviors and grafting the latest technologies. The purpose of this study is to derive improvements for each system by comparing and analyzing general recognition of science and technology information users' domestic and foreign science and technology information sites and importance by science and technology information attributes. A total of 816 users of science and technology information participated in the online survey, and the collected data were analyzed by quantitative methods including IPA (Importance Performance Analysis) technique. The importance was evaluated by the impact value calculated through regression analysis. As a result of data analysis, the general recognition of users on science and technology information sites was relatively high in national science and technology information services, and Google Scholar and Science Direct were also high. Google Scholar was found to have more strength than improvement. A better understanding of the user's preferred system is a good driving force for improving the lack of existing systems. It is necessary to improve the information retrieval of the science and technology information service system, that is, to improve the search speed and functions, and also to improve the user interface with improved convenience and usability.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1117-1128
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• 2016

In genetic association studies with high-dimensional genomic data, regularization procedures based on penalized likelihood are often applied to identify genes or genetic regions associated with diseases or traits. A network-based regularization procedure can utilize biological network information (such as genetic pathways and signaling pathways in genetic association studies) with an outstanding selection performance over other regularization procedures such as lasso and elastic-net. However, network-based regularization has a limitation because cannot be applied to high-dimension genomic data with a group structure. In this article, we propose to combine data dimension reduction techniques such as principal component analysis and a partial least square into network-based regularization for the analysis of high-dimensional genomic data with a group structure. The selection performance of the proposed method was evaluated by extensive simulation studies. The proposed method was also applied to real DNA methylation data generated from Illumina Innium HumanMethylation27K BeadChip, where methylation beta values of around 20,000 CpG sites over 12,770 genes were compared between 123 ovarian cancer patients and 152 healthy controls. This analysis was also able to indicate a few cancer-related genes.