• Corrosion Science and Technology
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• 제22권2호
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• pp.73-89
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• 2023

Due to continuous promotion of green alternatives to toxic petrochemicals by government policies, research efforts towards the development of green corrosion inhibitors have intensified recently. The objective of the current work was to develop novel green and sustainable corrosion inhibitors derived from 4-aminoantipyrine to effectively prevent corrosion of mild steel in corrosive environments. Gravimetric methods were used to investigate corrosion inhibition of 4-((furan-2-ylmethylene)amino)antipyrine (FAP) and 4-((pyridin-2-ylmethylene)amino)antipyrine (PAP) for mild steel in 1 M HCl. FAP and PAP were subjected to quantum chemical calculations using density functional theory (DFT). DFT was used to determine the mechanism of mild steel corrosion inhibition using inhibitors tested in HCl. Results demonstrated that these tested inhibitors could effectively inhibit mild steel corrosion in 1.0 M HCl. At 0.0005 M, these inhibitors' efficiencies for FAP and PAP were 93.3% and 96.5%, respectively. The Langmuir adsorption isotherm was obeyed by these inhibitors on the mild steel surface. Values of adsorption free energies, ΔG^o_ads, revealed that FAP followed chemical and physical adsorptions.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.56-65
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• 2022

Korea Institute of Science and Technology Information (KISTI) is a Worldwide LHC Computing Grid (WLCG) Tier-1 center mandated to preserve raw data produced from A Large Ion Collider Experiment (ALICE) experiment using the world's largest particle accelerator, the Large Hadron Collider (LHC) at European Organization for Nuclear Research (CERN). Physical medium used widely for long-term data preservation is tape, thanks to its reliability and least price per capacity compared to other media such as optical disk, hard disk, and solid-state disk. However, decreasing numbers of manufacturers for both tape drives and cartridges, and patent disputes among them escalated risk of market. As alternative to tape-based data preservation strategy, we proposed disk-only erasure-coded archival storage system, Custodial Disk Storage (CDS), powered by Exascale Open Storage (EOS), an open-source storage management software developed by CERN. CDS system consists of 18 high density Just-Bunch-Of-Disks (JBOD) enclosures attached to 9 servers through 12 Gbps Serial Attached SCSI (SAS) Host Bus Adapter (HBA) interfaces via multiple paths for redundancy and multiplexing. For data protection, we introduced Reed-Solomon (RS) (16, 4) Erasure Coding (EC) layout, where the number of data and parity blocks are 12 and 4 respectively, which gives the annual data loss probability equivalent to 5×10^-14. In this paper, we discuss CDS system design based on JBOD products, performance limitations, and data protection strategy accommodating EOS EC implementation. We present CDS operations for ALICE experiment and long-term power consumption measurement.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.66-75
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• 2022

The manufacturing industry is the foundation that drives economic growth, and manufacturing innovation is essential for sustainable growth advantage and the transition into a digital economy. Therefore, major countries actively support the field of simulations, which incorporate information and communication technologies into manufacturing, and announce various policies at the national level along with increasing investment. Simulation technology virtualizes product development processes to replace physical production and experimentation of products, dramatically reducing time and costs. In South Korea, the Korea Institute of Science and Technology Information (KISTI) has supported manufacturing companies for about 14 years by providing relevant technologies. This study uses the input-output table for the Bank of Korea to analyze the economic ripple effect. First, we identified the domestic industrial sector dealing with the supercomputing-based simulation industry. Then we analyzed its ripple effects by dividing them into the production inducement effect, value-added inducement effect, employment inducement effect, and forward/backward linkage effect. Consequently, when the supercomputing simulation budget of KISTI (28.3 billion won, 2007-2020) was set as an input coefficient, the analysis showed 45.1 billion won as the production inducement effect, 24.7 billion won as the value-added inducement effect, and 282 individuals per 1 billion won as the employment inducement effect. This study is significant in that it derived the effects of the inputs by analyzing the economic ripple effects of the projects of KISTI, which have been supporting South Korean manufacturing companies for the past 14 years with supercomputing-based simulations.

• 한국체육학회지인문사회과학편
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• 제55권4호
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• pp.227-240
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• 2016

연구 부정행위는 체육학 연구에서 지속돼야 할 연구주제이지만 연구 부정행위의 복잡한 매커니즘과 연구 진실성을 확보하기 위한 방안에 관한 연구는 미진한 실정이다. 이에 본 연구는 체육학에서의 연구부정행위의 발생원인 및 해결방안을 학계 구성원의 관점에서 살펴보는데 목적을 두었다. 이를 위해서 근거이론 방법의 적용을 통해 13명의 학자 및 대학원생들에 집단인터뷰(focus group interview), 개인인터뷰(follow-up one-on-one interview), 서술적 설문조사(qualitative questionnaire)를 통하여 수집하였다. 연구결과 연구부정행위는 사회구조적(socio-political), 사회문화적(socio-cultural), 개인적(personal) 맥락에서 발생하는 것으로 인식되었으며, 해결 방안은 첫째, 위로부터의 변화(Top-down approach), 둘째, 아래로부터의 변화(Bottom-up approach), 셋째, 지속적인 교육 및 점검(Continuous education)의 변화가 제시되었다. 본 연구 결과를 통해 제시된 경험적 지식이 체육학을 연구하는 개인 연구자의 연구윤리 의식 제고에 활용되고, 대학의 교육 및 학계 차원의 향후 노력들에 기초자료로 사용되어지기를 기대한다.

• 문화기술의 융합
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• 제9권4호
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• pp.423-430
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• 2023

본 논문은 비선형적인 스토리텔링 보드 구성에 관한 연구로, 등장인물의 맥락적 관점을 유지하는 방법을 설명하고자 한다. 스토리텔링은 다양한 요소들이 상호작용하여 감독의 창의적 의도를 반영하며, 원인과 결과에 대한 논리적인 이야기 구성을 가능하게 한다. 이는 시청자의 공감과 감정이입을 증대시키는 주요 목적이 있다. 이에 따라, 스토리텔링과 스토리보딩 간의 구별된 인식에 관한 심층적인 연구의 필요성이 제기되었다. 아울러 스토리텔링과 스토리보딩의 통합적인 접근은 이야기 구성과 시각화 과정을 이해하는 데 학문적 가치가 있다. 따라서 본 연구는 비선형적인 스토리텔링 보드 구성 방법을 제안하며, 분리된 카메라의 관점과 맥락적 장면의 연속성을 고려하여 시각적 복잡성과 상관성을 이해하는 데 기여할 것이다. 이러한 접근은 캐런 펄먼이 언급한 물리적 리듬, 감정의 리듬, 사건의 리듬 등 장면의 시각적 복잡성을 통합적이고 동시적으로 고려하여 사고를 심화시키는 상관성을 이해할 수 있다.

• 운동영양학회지
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• 제23권3호
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• pp.29-38
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• 2019

[Purpose] Effective nutritional intervention can help reduce the risk of nutritional problems and improve athletic performance in adolescents. The five A's (assess, advise, agree, assist, and arrange) model is widely used as the theoretical framework for advice on nutrition, smoking, drinking, and physical activity and it recommends that practitioners in primary health care promote behavior change to facilitate positive outcomes. This model has also been useful in understanding the underlying processes of behavior change. This study aimed to develop both a novel evidence-based nutritional intervention protocol, rooted in sound nutritional theory, and a customizable nutritional intervention program to support sustainable healthy eating, enhance nutrient intake, and improve athletic performance in adolescent athletes. [Methods] In this study, we adapted the 5 A's behavioral change model and motivational interview to develop a theoretical framework to help adolescent athletes change their behavior and achieve their goals. [Results] During each step of the 5 A's protocol, a customized nutritional intervention protocol was developed by nutrition experts for each of adolescent athletes. Each plan was developed to improve the eating habits of adolescent athletes through group education and counseling. All nutritional counseling sessions were designed to enable participants to apply nutritional knowledge and practical action plans to their training and competition conditions to enable each of them to achieve individual athletic goals and facilitate self-management. [Conclusion] A theoretical and evidence-based nutritional intervention protocol was developed to identify and address obstacles to healthy dietary habits in adolescent athletes. This could be used as the basis for further studies aimed at improving nutrient intake and athletic performance in adolescent athletes.

• 페미니즘연구
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• 제12권2호
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• pp.69-103
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• 2012

이 글은 가정폭력의 본질을 이해하는 것이 문제 해결의 핵심임을 주장했던 가정폭력 재개념화의 후속연구로서, 젠더 권력을 둘러싼 논의에 초점을 두어 한국사회의 국가개입 실천의 내용과 그 효과를 탐구한 글이다. 신체 폭력의 발생 유무, 공격의 횟수와 빈도를 중심으로 전개되어 온 가정폭력 담론의 문제점을 강압적 통제론의 관점에서 검토하였다. 그 결과 첫째, 한국사회의 가정폭력에 대한 국가개입 역시 신체적 폭력을 중심으로 가정폭력 발생과 개입 필요 여부를 판단하고 있다는 점, 둘째, 여성의 불충분하거나 미흡한 젠더수행과 젠더역할을 폭력 유발원인으로 지목하며 비난하고 있다는 점, 셋째, 폭력의 원인과 그에 대한 책임을 개인화함으로써 폭력이 발생하고 지속되는 구조적 원인을 희석시키는 점, 넷째, 국가개입 이후, 오히려 위협적으로 증가하는 가해 남성으로부터의 보복과 비난을 통해 피해 여성의 좌절감과 공포감이 확대되고 있는 점 등을 논의하였다. 그리고 이로부터 가정폭력을 해결하려는 노력은 가정폭력이 여성의 자유 및 자율성을 찬탈하는 범죄라는 인식과 함께 여성이 취약하게 되는 진짜 원인이 무엇인가에 대한 탐구로부터 시작되어야 함을 주장하였다.

• Steel and Composite Structures
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• 제49권5호
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• pp.487-502
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• 2023

In the realm of nanotechnology, the nonlocal strain gradient theory takes center stage as it scrutinizes the behavior of spinning cantilever nanobeams and nanotubes, pivotal components supporting various mechanical movements in sport structures. The dynamics of these structures have sparked debates within the scientific community, with some contending that nonlocal cantilever models fail to predict dynamic softening, while others propose that they can indeed exhibit stiffness softening characteristics. To address these disparities, this paper investigates the dynamic response of a nonlocal cantilever cylindrical beam under the influence of external discontinuous dynamic loads. The study employs four distinct models: the Euler-Bernoulli beam model, Timoshenko beam model, higher-order beam model, and a novel higher-order tube model. These models account for the effects of functionally graded materials (FGMs) in the radial tube direction, giving rise to nanotubes with varying properties. The Hamilton principle is employed to formulate the governing differential equations and precise boundary conditions. These equations are subsequently solved using the generalized differential quadrature element technique (GDQEM). This research not only advances our understanding of the dynamic behavior of nanotubes but also reveals the intriguing phenomena of both hardening and softening in the nonlocal parameter within cantilever nanostructures. Moreover, the findings hold promise for practical applications, including drug delivery, where the controlled vibrations of nanotubes can enhance the precision and efficiency of medication transport within the human body. By exploring the multifaceted characteristics of nanotubes, this study not only contributes to the design and manufacturing of rotating nanostructures but also offers insights into their potential role in revolutionizing drug delivery systems.

• 한국의류학회지
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• 제47권5호
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• pp.891-906
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• 2023

The essence of fashion brands' marketing with metaverse-based virtual spaces is to capture more potential consumers and boost the sales of companies' virtual and physical products. However, existing research has not fully addressed customer responses and behavioral outcomes regarding fashion virtual brand spaces. This study uses flow theory to address this gap and explores the factors that lead to the flow experience in virtual brand spaces. It also establishes the causal relationships between the flow experience, satisfaction with virtual spaces, the intention to purchase virtual products, and the intention to purchase actual products. We chose "Ralph Lauren World" of Ralph Lauren on Zepeto as the virtual brand space for this study and analyzed 239 valid data sets. We tested the hypotheses using structural equation modeling and bootstrapping for the mediation analyses. The findings indicate that the flow experience in virtual brand spaces positively and indirectly affects the purchase intention of virtual products via satisfaction with virtual brand spaces. In addition, virtual space satisfaction had an indirect, positive effect on actual product purchase intention through virtual product purchase intention. The research emphasizes that the purchase intention of virtual and actual products has a positive causal relationship.

• Geomechanics and Engineering
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• 제37권1호
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• pp.49-64
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• 2024

Rocks undergoing repeated loading and unloading over an extended period, such as due to earthquakes, human excavation, and blasting, may result in the gradual accumulation of stress and deformation within the rock mass, eventually reaching an unstable state. In this study, a CNN-CCM is proposed to address the mechanical behavior. The structure and hyperparameters of CNN-CCM include Conv2D layers × 5; Max pooling2D layers × 4; Dense layers × 4; learning rate=0.001; Epoch=50; Batch size=64; Dropout=0.5. Training and validation data for deep learning include 71 rock samples and 122,152 data points. The AI Rock Constitutive Model learned by CNN-CCM can predict strain values(ε₁) using Mass (M), Axial stress (σ₁), Density (ρ), Cyclic number (N), Confining pressure (σ₃), and Young's modulus (E). Five evaluation indicators R², MAPE, RMSE, MSE, and MAE yield respective values of 0.929, 16.44%, 0.954, 0.913, and 0.542, illustrating good predictive performance and generalization ability of model. Finally, interpreting the AI Rock Constitutive Model using the SHAP explaining method reveals that feature importance follows the order N > M > σ₁ > E > ρ > σ₃.Positive SHAP values indicate positive effects on predicting strain ε₁ for N, M, σ₁, and σ₃, while negative SHAP values have negative effects. For E, a positive value has a negative effect on predicting strain ε₁, consistent with the influence patterns of conventional physical rock constitutive equations. The present study offers a novel approach to the investigation of the mechanical constitutive model of rocks under cyclic loading and unloading conditions.