• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.295-302
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• 2022

This study intends to apply the concept of reputation as a tool to positively build an evaluation of the CEO, the CEO of a company. It aims to develop tools to manage the reputation of the CEO and empirically explore the value of the tools use. As a result of the study, reliability, customer management, strategic vision, employee management, and social responsibility were derived as the constituent factors of CEO reputation, and it was confirmed that the relationship between CEO reputation and organizational favorability was statistically causal. Furthermore, the relationship between CEO reputation and product purchase intention was also statistically significant. It was confirmed that if the CEO's reputation was positively managed, it could help the stakeholders to evaluate the company to which the CEO belongs, as well as to purchase the products provided by the company. One of the ways to be well-received by various stakeholders in a corporate environment where uncertainty is intensifying is a reputation management system for CEOs, and CEOs themselves should recognize that their reputation can affect the organization and pay attention to reputation management.

• Journal of the Korean Geotechnical Society
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• v.38 no.6
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• pp.29-39
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• 2022

This study investigates the behavior of a circular vertical shaft wall in the absence and presence of a groundwater table. The effects of wall deflection, backfill settlement, and earth pressure distribution around the circular vertical shaft caused by sequential excavations were quantified. The vertical shaft was numerically simulated for different excavation depths of the bearing layer (weathered soil, weathered rock, soft rock) and transient and steady-state flows in the absence of a groundwater table. The backfill settlements and influential area were much larger under transient flow conditions than in steady-state flow. On the contrary, the horizontal wall deflection was much larger in steady state than in the transient state. Moreover, less settlement was induced as the excavation depth increased from weathered soil to weathered rock to the soft rock layer. Finally, the horizontal stresses under steady- and transient-state flow conditions were found to exceed Rankine's earth pressure. This effect was stronger in the deeper rock layers than in the shallow soil layers.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.15-23
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• 2022

There is little research about medical treatment after prison. The purpose of this study is to examine factors influencing mentally-ill prisoner's decision making for medical treatment on release from prison. With the data collected from prisoners in 2019, binary logistic regression was used to analyze the effect of variables on the mentally-ill prisoner's decision making. In result, bipolar disorder, depression, anxiety disorder, and panic disorder decreased the likelihood of answering that I will have no medical treatment plan after prison, whereas lack of experience in receiving medical care increased the likelihood of answering as such. Bipolar disorder, anxiety disorder, counseling, medical treatment, and education had a positive effect on selecting mental hospital in the answer. Depression enhanced the likelihood of choosing mental health center for treatment. Policy implications and directions for future research are discussed.

• 한국체육학회지인문사회과학편
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• v.55 no.2
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• pp.81-93
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• 2016

This study was aimed to analyze experiences of conflicts that women confront by participating in a conservative sport, baseball, and to figure out how they cope with these conflicts. In this respect, in-depth interviews were performed targeting 18 women who have been participating in a team registered in Women's Baseball Association for more than 1 year. Interview data went through classification of meaning and an analysis process of conceptualization and led to the following conclusion. First, the women's conflicts from their participation in baseball activities were revealed as the conflict between workplace and leisure activity, the conflict between significant others and leisure activity(objection by family and severance of interpersonal relations), and the conflict between sociocultural prejudice and leisure activity. Second, female baseball participants' strategies to cope with conflict situations were classified as making a group of supporters by persuasion and negotiation, active strategies(my own way and priority of life), and evasive measure(telling lies and avoidance of conflicts).

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.423-423
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• 2021

국내에서는 '물손실(누수)을 얼마나 잘 관리하고 있는지' 평가하는 물손실관리 수행능 지표를 '유수율(누수율)' 로 판단하고 있다. 하지만, 유수율은 실제 관리자의 의지와 무관한 인자에 영향을 받을 수 있으며, 지역의 여건상 유수율이 높게 나올 수밖에 없는 지역이 있는가 하면 반대로 지역의 여건 상 유수율이 낮게 나올 수밖에 없는 지역이 있다. 따라서 유수율만을 이용하여 물손실관리 수행능력을 평가하는 지표로는 미흡함이 있는 것으로 판단될 뿐만 아니라 IWA에서는 전통적인 백분율을 이용한 지표(손실율, 유수율, 무수율 등)의 문제를 언급하면서 수자원의 효율적인 사용 혹은 상수도사업의 경제성을 나타내는 목적 외에는 사용하지 말아야 한다고 권고하였다. 현재까지의 연구를 보면, 국내 실정에 맞는 다양한 물손실관리 수행능 지표들이 언급되면서 이에 대한 적합성 및 적용성에 대한 많은 연구들이 진행되어 왔다. 기존의 연구들은 지자체 단위로 물손실관리 수행능 지표에 대한 연구를 진행하였다면, 본 연구에서는 소블럭 단위로 수도통계자료를 분석하여 물손실관리를 위한 어떠한 지표를 이용하는 것이 타당한 방법인지 제시하고자 하였다. 비교분석을 하기 위한 지표인 소블럭별 유수율, 실손실율(누수율), 1인당 실손실량, 급수전당 실손실량, 누수평가지표(ILI)를 산정하고, 그 결과에 따라 소블럭별 순위를 결정하였다. 유수율과 급수인구를 고려한 1인당 실손실량과의 비교분석에서 높은 R² (결정계수)값과 소블럭별 순위변동 폭이 적은 것으로 나타났으나, 유수율과 급수전수를 고려한 급수전당 실손실량 및 배수관의 연장과 급수전수, 평균압력을 고려한 누수평가지표와의 비교분석에서는 낮은 R²값과 소블럭별 순위 변동폭이 큰 것으로 나타났다. 앞서 언급한 것처럼, 유수율만을 이용하여 물손실관리 수행능을 설명하기에는 부족할 것으로 판단되며, 유수율 외에도 다양한 지표들을 종합적으로 고려했을 때 가장 바람직한 물손실관리 수행능 평가가 될 것으로 사료된다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.7
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• pp.11-18
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• 2023

In this paper, we evaluate deep learning time series forecasting models. Recent studies show that those models perform better than the traditional prediction model such as ARIMA. Among them, recurrent neural networks to store previous information in the hidden layer are one of the prediction models. In order to solve the gradient vanishing problem in the network, LSTM is used with small memory inside the recurrent neural network along with BI-LSTM in which the hidden layer is added in the reverse direction of the data flow. In this paper, we compared the performance of Informer by comparing with other models (LSTM, BI-LSTM, and Transformer) for real Nitrogen dioxide (NO2) data. In order to evaluate the accuracy of each method, mean square root error and mean absolute error between the real value and the predicted value were obtained. Consequently, Informer has improved prediction accuracy compared with other methods.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.15-29
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• 2024

With recent advances in information and communication technology, YouTube has become a powerful online space for users to create and share content about their interests and experiences, creating new cultural phenomena. In particular, there needs to be more research on social media in the manufacturing sector because, unlike distribution and retail, there has been relatively little direct contact with consumers. YouTube can positively affect firms' performance by promoting products and brands. On the other hand, it can also cause risks, such as production disruption due to rumors or misinformation. Thus, it is necessary for firms to examine how information about an electric automobile defects spreads on YouTube according to the number of subscribers and views through statistical network analysis.

• The Journal of the Acoustical Society of Korea
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• v.27 no.6
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• pp.271-278
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• 2008

The electro-mechanical characteristics were theoretically analyzed for the wideband ultrasonic transducer made of non-uniform thickness piezoelectric vibrator. This paper proposes a combination of exponential functions which describes the thickness variation along the length of the vibrator to derive the input admittance and power transfer function of the transducer. The bandwidth and the power transfer function of the transducer were investigated while the lateral shape of the vibrator changes. The results showed there is an optimum shape for the wideband characteristics of the transducer, and the bandwidth has increased up to over 100% as the ratio of minimum value of thickness to maximum value decreases. However, the power transfer function had a downward trend as the ratio of thickness decreases. Also we confirmed that even though the value of transfer function increases as the length of the piezoelectric vibrator increases, the shape providing wideband characteristics is very limited. It means that precision processing is required to manufacturing a wideband ultrasonic transducer with high efficiency.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.89-98
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• 2024

In this paper, we propose a system for recommending lecture videos at the chapter level, addressing the balance between accuracy and processing speed in chapter-level video recommendations. Specifically, it has been observed that enhancing recommendation accuracy reduces processing speed, while increasing processing speed decreases accuracy. To mitigate this trade-off, a hybrid approach is proposed, utilizing techniques such as TF-IDF, k-means++ clustering, and Graph Neural Networks (GNN). The approach involves pre-constructing clusters based on chapter similarity to reduce computational load during recommendations, thereby improving processing speed, and applying GNN to the graph of clusters as nodes to enhance recommendation accuracy. Experimental results indicate that the use of GNN resulted in an approximate 19.7% increase in recommendation accuracy, as measured by the Mean Reciprocal Rank (MRR) metric, and an approximate 27.7% increase in precision defined by similarities. These findings are expected to contribute to the development of a learning system that recommends more suitable video chapters in response to learners' queries.

• Geophysics and Geophysical Exploration
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• v.12 no.1
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• pp.33-40
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• 2009

In field surveys using the dipole-dipole electrical resistivity method, we often encounter negative apparent resistivity. The term 'negative apparent resistivity' refers to apparent resistivity values with the opposite sign to surrounding data in a pseudosection. Because these negative apparent resistivity values have been regarded as measurement errors, we have discarded the negative apparent resistivity data. Some people have even used negative apparent resistivity data in an inversion process, by taking absolute values of the data. Our field experiments lead us to believe that the main cause for negative apparent resistivity is neither measurement errors nor the influence of self potentials. Furthermore, we also believe that it is not caused by the effects of induced polarization. One possible cause for negative apparent resistivity is the subsurface geological structure. In this study, we provide some numerical examples showing that negative apparent resistivity can arise from geological structures. In numerical examples, we simulate field data using a 3D numerical modelling algorithm, and then extract 2D sections. Our numerical experiments demonstrate that the negative apparent resistivity can be caused by geological structures modelled by U-shaped and crescent-shaped conductive models. Negative apparent resistivity usually occurs when potentials increase with distance from the current electrodes. By plotting the voltage-electrode position curves, we could confirm that when the voltage curves intersect each other, negative apparent resistivity appears. These numerical examples suggest that when we observe negative apparent resistivity in field surveys, we should consider the possibility that the negative apparent resistivity has been caused by geological structure.