• 한국전기전자재료학회논문지
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• 제34권5호
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• pp.314-320
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• 2021

Controlling ambient humid condition through high performance humidity sensors has become important for various fields, including industrial process, food storage, and the preservation of historic remains. Although aerosol deposited humidity sensors using ceramic BaTiO₃ (BT) material have been widely studied because of their longtime stability, there remain critical disadvantages, such as low sensitivity, low linearity, and slow response/recovery time in case of the sensors fabricated at room temperature. To achieve superior humidity sensing properties even at room temperature condition, BT-Cu composite films utilizing aerosol deposition (AD) process have been proposed based on the percolation theory. The BT-Cu composite films showed gradually improved sensing properties until the Cu concentration reached 15 wt% in the composite film. However, the excessive Cu (above 30 wt%) containing BT-Cu composite films showed a rapid decrease of the sensing properties. The results of observed surface morphology of the AD fabricated composite films, to figure out the metal filler effect, showed correlation between surface topography as well as size and the amount of open pores according to the metal filler content. Overall, it is very important not only dielectric constant of the humidity sensing films but also microstructures, because they affect either the variation range of capacitance by ambient humidity or adsorption/desorption of ambient humidity onto/from the humidity sensing films.

• Journal of Information Science Theory and Practice
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• 제10권1호
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• pp.30-44
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• 2022

This research aims to identify and reveal the meaning of memes about COVID-19, and explain changes in meme content in regard to the information development of COVID-19 in Indonesia published by the mass media and online media. The data is sourced from memes that are shared on social media, especially WhatsApp groups in the period of January to June 2020. To reveal the meaning of memes, a semiotic analysis of Roland Barthes' model is used. Qualitative analysis is used to reveal the relationship between memes and the information development of COVID-19 in Indonesia. The results of the study show that meme content has shifted according to three stages of information development of COVID-19 in Indonesia published by the mass media and online media. When COVID-19 was not yet confirmed in Indonesia, meme content contained mostly humor that was not educative, moreover it seemed to underestimate the coronavirus. Meme content which is mostly humorous and pornographic occurred when COVID-19 was confirmed in Indonesia and during the lockdown policy. At last, as the government has begun to distribute social assistance, the meme content looks more critical. The results of this research emphasize the urgency of the mass media as a source of public information during the COVID-19 pandemic, become a reference for the community in making memes as a forum for expressing feelings and social criticism, and serve as a reference for the government to act and make the right decisions related to the pandemic that is endemic in their country.

• 한국기록관리학회지
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• 제21권3호
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• pp.1-16
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• 2021

레코드 컨티뉴엄은 전자기록 환경으로 이행하는 패러다임 전환기에 기록학의 기반을 제공하는 이론임에도 불구하고, 이에 대한 비판적 분석을 그동안 거의 수행되지 않았다. 레코드 컨티뉴엄은 아직 개발이 진행 중인 이론으로, 핵심은 라이프사이클 모델과는 다른 기록에 대한 새로운 시각이다. 따라서 전자기록 환경에서 레코드 컨티뉴엄이 지닌 의미 및 한계를 분석하고 보다 심도 있는 이론적 개발을 위해서는 레코드 컨티뉴엄 논리 속에 함유된 기록의 의미 및 속성에 대한 분석이 필수적으로 요구된다. 하지만 레코드 컨티뉴엄에서는 기록에 대해 별도로 정의를 내리지 않고 있다. 이에 본고에서는 최근의 전자기록 환경에서 레코드 컨티뉴엄 이론 속에 함유된 기록의 의미 및 속성을 축선 및 차원 분석을 통해 고찰하고자 하였다. 이를 위해 우선 기록의 의미 및 속성 도출을 위한 기초 작업으로, 컨티뉴엄 모델상의 차원 1 및 차원 2에 초점을 맞추어 분석을 수행하였다. 이어 컨티뉴엄 논리 속에 함유된 기록의 의미 및 속성을 라이프사이클 모델과 결부시켜 고찰하였으며, 이를 기반으로 컨티뉴엄이 지닌 의의를 고찰한 다음, 기록의 의미 및 속성 관점에서 컨티뉴엄이 지닌 한계를 제시하였다.

• 예술경영연구
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• 제60호
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• pp.93-119
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• 2021

조직이 위기 상황에서 무엇을 어떻게 말할 것인가는 조직이 지속적으로 사회적 인정과 정당성을 획득하기 위해 매우 중요하다. 본 논문에서는 문화예술계 블랙리스트 사례 중 2015년부터 2019년까지 불거진 한국문화예술위원회(이하, 예술위) 팝업씨어터 사건 관련 위기 커뮤니케이션 사례에 주목하고, 이 사태에 대해 예술위가 이해관계자들과 소통한 방식에 대해 살펴본다. 특히 Hearit(2006)의 위기 커뮤니케이션 연구모델을 분석틀로 적용하여 예술위가 팝업씨어터 사건과 이후 발표한 세 건의 사과문을 분석한다. 이를 통해 예술위의 위기 커뮤니케이션 방안이 세 번의 사과를 통해 어떻게 변화했는지 탐색하였다. 연구 결과 팝업씨어터 사건은 사회문화적 질서를 위반한 사건이며, 그 결과 조직의 역량과 사회적 사명의 측면에서 사회적 정당성을 위협하는 위기가 발생하였다는 것을 확인하였다. 또한 Hearit의 분석틀을 통해 시기별로 발표된 사과문의 실질적인 변화를 탐색하였으며 사과의 핵심이 단순히 무조건적 사과나 유감 표명이 아닌 위기의 본질을 파악하여 준비되어야 한다는 것을 확인하였다.

• Structural Engineering and Mechanics
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• 제81권6호
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• pp.715-728
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• 2022

A new type of buckling-restrained braces (BRBs) with a longitudinally profiled steel plate working as the core (LPBRB) is proposed and experimentally investigated. Different from conventional BRBs with a constant thickness core, both stiffness and strength of the longitudinally profiled steel core along its longitudinal direction can change through itself variable thickness, thus the construction of LPBRB saves material and reduces the processing cost. Four full-scale component tests were conducted under quasi-static cyclic loading to evaluate the seismic performance of LPBRB. Three stiffening methods were used to improve the fatigue performance of LPBRBs, which were bolt-assembled T-shaped stiffening ribs, partly-welded stiffening ribs and stiffening segment without rib. The experimental results showed LPBRB specimens displayed stable hysteretic behavior and satisfactory seismic property. There was no instability or rupture until the axial ductility ratio achieved 11.0. Failure modes included the out-of-plane buckling of the stiffening part outside the restraining member and core plate fatigue fracture around the longitudinally profiled segment. The effect of the stiffening methods on the fatigue performance is discussed. The critical buckling load of longitudinally profiled segment is derived using Euler theory. The local bulging behavior of the outer steel tube is analyzed with an equivalent beam model. The design recommendations for LPBRB are presented finally.

• Smart Structures and Systems
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• 제29권1호
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

• Smart Structures and Systems
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• 제29권1호
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• pp.17-28
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• 2022

The cable component of cable-stayed bridges is gradually impacted by weather conditions, vehicle loads, and material corrosion. The stayed cable is a critical load-carrying part that closely affects the operational stability of a cable-stayed bridge. Damaged cables might lead to the bridge collapse due to their tension capacity reduction. Thus, it is necessary to develop structural health monitoring (SHM) techniques that accurately identify damaged cables. In this work, a combinational identification method of three efficient techniques, including statistical analysis, clustering, and neural network models, is proposed to detect the damaged cable in a cable-stayed bridge. The measured dataset from the bridge was initially preprocessed to remove the outlier channels. Then, the theory and application of each technique for damage detection were introduced. In general, the statistical approach extracts the parameters representing the damage within time series, and the clustering approach identifies the outliers from the data signals as damaged members, while the deep learning approach uses the nonlinear data dependencies in SHM for the training model. The performance of these approaches in classifying the damaged cable was assessed, and the combinational identification method was obtained using the voting ensemble. Finally, the combination method was compared with an existing outlier detection algorithm, support vector machines (SVM). The results demonstrate that the proposed method is robust and provides higher accuracy for the damaged cable detection in the cable-stayed bridge.

• International Journal of Computer Science & Network Security
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• 제22권8호
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• pp.385-391
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• 2022

The relevance of the published study lies in the fact that since the introduction of the first Global Distribution System, new information and communication technologies have constantly been changing the tourism industry. In the context of a current digital environment, travel agencies can't avoid participating in digital transformation processes aimed at rethinking operational models, skills, and organisational structures in the regions. This publication aims to present and provide a critical overview of digitalisation processes in tourism development in the regions of the Russian Federation, as well as to reflect on the challenges to the widespread digitalisation processes in the regional tourism sector. The subject of research is digitalisation processes, as they radically transform the modern tourism industry, in the regions as well. The pragmatic research paradigm was considered the most appropriate for the study of tourism digitalisation processes in the regions, as it does not require the selection of a specific theoretical basis for data collection. The pragmatic approach forms an alternative to classical theoretical approaches and serves as a particular type of grounded theory, combining both inductive and deductive methods. No software was used for the inductive part of the analysis. The deductive part was conducted using the qualitative data analysis software Nvivo 11. Given the wide diversity of interested parties in the regional tourism digital area, a stratified purposive sampling method was preferred due to its ability to adequately represent the full picture of the phenomenon under study. The selection and stratum criteria were chosen to maximise the representation of different perspectives in the regional tourism digital area. The novelty of the study is due to the digitalisation processes, with an implication of new needs, while opening up promising opportunities for more productive tourism business in the regions of the Russian Federation. Currently, e-tourism in the Russian Federation has become a subject of lively debate among scholars and practitioners. However, the involvement of advanced digitalisation technologies in the field of information processes in the regions of the Russian Federation is of a very sporadic character.

• 한국지반공학회논문집
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• 제25권4호
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• pp.39-54
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• 2009

대형직접전단시험기를 이용하여, 국내의 석산에서 생산된 쇄석재료들에 대한 전단거동을 분석하였다. 시료별로 전단강도를 산출하였으며, 최대입경, 수침조건, 밀도, 균등계수, 파쇄율 등의 변화에 따른 전단거동의 영향을 평가하여, 선행연구결과와 정성적으로 비교하였다. 아울러, 일의 원리를 응용하여, 쇄석재료의 응력-다일러턴시 관계를 규명하였으며, 한계상태의 마찰계수와 첨두마찰각 및 팽창각을 산출하였다. 실험결과 일축압축강도와 파쇄율이 쇄석의 내부마찰각에 가장 결정적인 영향을 미치며, 파괴시 다일러턴시도 연관성이 높은 것으로 밝혀졌다.

• 정보화정책
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• 제30권2호
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• pp.86-108
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• 2023

본 연구는 중소벤처기업부의 상담업무 관리시스템 도입과 함께 코로나-19 이후 디지털 전환으로 비대면 상담(화상상담)의 증가에 따라 광주·전남 비즈니스지원단 상담위원들에게 발생하는 그림자 노동을 현상학적으로 설명하였다. 상담위원들의 새로운 시스템 사용 경험을 통해 사용기간, 사용 경험, 나이, 인식 등이 디지털 그림자 노동의 강도에 영향을 미칠 수 있음을 확인하였다. 디지털 그림자 노동이 선택할 수 없는 업무 영역에서 발생할 경우, 오랜 기간 지속적으로 사용하면 이들은 그림자 노동으로 인식하기보다는 기본 업무로서 당연한 일로 받아들였다. 반면에 새롭게 확장되는 화상상담시스템의 경우 부담감·불편함을 토로하는 상담위원들이 종종 있었으며 시간과 비용을 절약할 수 있음에도 불구하고 대면을 선택하는 경향을 보였다. 디지털 시스템의 성공적인 정착을 위해서는 그림자 노동을 최소화하기 위한 시스템 준비와 불편함, 부담감을 줄이는 방안과 적응 기간 등이 고려되어야 함을 실무적으로 제안할 수 있다.