• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2169-2190
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• 2022

The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this pandemic, governments worldwide adopted full lockdown measures that attracted much discussion on social media platforms. To investigate the effects of these lockdown measures, this study performed sentiment analysis and latent Dirichlet allocation topic modeling on textual data from Twitter published during the three lockdown waves in Malaysia between 2020 and 2021. Three lockdown measures were identified, the related data for the first two weeks of each lockdown were collected and analysed to understand the public sentiment. The changes between these lockdowns were identified, and the latent topics were highlighted. Most of the public sentiment focused on the first lockdown as reflected in the large number of latent topics generated during this period. The overall sentiment for each lockdown was mostly positive, followed by neutral and then negative. Topic modelling results identified staying at home, quarantine and lockdown as the main aspects of discussion for the first lockdown, whilst importance of health measures and government efforts were the main aspects for the second and third lockdowns. Governments may utilise these findings to understand public sentiment and to formulate precautionary measures that can assure the safety of their citizens and tend to their most pressing problems. These results also highlight the importance of positive messaging during difficult times, establishing digital interventions and formulating new policies to improve the reaction of the public to emergency situations.

• 지능정보연구
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• 제28권3호
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• pp.57-79
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• 2022

지난 2019년 12월 시작된 코로나19는 정치, 경제, 사회, 문화 등 우리 삶의 전반에 많은 영향을 끼쳐 왔으며, 스포츠, 공연 예술 등의 분야 역시 이로 인해 큰 폭으로 활동이 위축되었다. 스포츠 분야의 경우 참여스포츠를 대표하는 생활체육 분야에서의 변화가 특히 크게 나타났으며, 헬스장, 탁구장, 배드민턴 동호회 등 국민 삶과 밀접한 장소에서의 확진자 발생은 코로나19의 확산에 대한 사회적 공포감을 증폭시키는 원인이 되기도 하였다. 이에 본 연구에서는 코로나19가 최초 확산한 시기의 생활체육 관련 국내 언론 기사를 분석하여, 코로나19 사태로 인해 생활체육 분야에서 어떤 이슈들이 현장에서 등장하고 있으며 어떠한 논의들이 이루어지고 있는지 살펴본다. 구체적으로 본 연구는 국내 대표적인 포털 뉴스 사이트로부터 생활체육과 관련된 코로나19 이슈를 다루고 있는 뉴스 기사를 수집한 후, 이에 대한 토픽 모델링(Topic Modeling) 분석을 통해 코로나19 환경에서의 주요 생활체육 이슈를 파악하였다. 분석을 통해 체육시설 코로나 발생, 체육활동 지원, 생활체육활동 변화 등의 의미있는 이슈를 발견하였으며, 이들 주요 이슈에 대한 워드 클라우드(Wordcloud) 분석을 통해 이슈를 시각적으로 이해하고 시간의 흐름에 따라 이러한 이슈가 변화하는 양상을 확인하였다.

• International Journal of Fluid Machinery and Systems
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• 제4권2호
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• pp.271-288
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• 2011

The mathematical modelling of screw compressor processes and its implementation in their design began about 30 years ago with the publication of several pioneering papers on this topic, mainly at Purdue Compressor Conferences. This led to the gradual introduction of computer aided design, which, in turn, resulted in huge improvements in these machines, especially in oil-flooded air compressors, where the market is very competitive. A review of progress in such methods is presented in this paper together with their application in successful compressor designs. As a result of their introduction, even small details are now considered significant in efforts to improve performance and reduce costs. Despite this, there are still possibilities to introduce new methods and procedures for improved rotor profiles, design optimisation for each specified duty and specialized compressor design, all of which can lead to a better product and new areas of application. A review of methods and procedures which lead to modern screw compressor practice is presented in this paper. This paper is intended to give a cross section through activities being done in mathematical modelling of screw compressor process through last five decades. It is expected to serve as a basis for further contributions in the area and as a challenge to the forthcoming generations of scientists and engineers to concentrate their efforts in finding future and more extended approaches and submit their contributions.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제11권3호
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• pp.275-283
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• 2005

시맨틱 웹이나 지식기반 시스템에서 지식 검색의 핵심 컴포넌트는 온톨로지이다. 하지만 현재 실용적인 온톨로지가 구축된 경우를 찾아보기는 어렴다. 실용적인 온톨로지 구축을 위해서는 특정 도메인의 지식 전문가에 의한 지식의 개념화와 온톨로지 설계자에 의한 지식의 명세화가 필요하며 이를 바탕으로 개발 팀원들 사이에 공유할 수 있는 자세한 온톨로지 생성 가이드라인이 필요하다. 그러나 기존의 온톨로지 생성 방법론은 은톨로지 구축 프로세스의 단계들을 상위 수준에서 나열하는 절차 중심의 방법론이다 본 논문에서는 철학 학문의 지식을 구조화하는 실용적인 온톨로지를 구축하는 방법으로서 텍스트 내용에 들어있는 지식을 온톨로지로 생성하는 토픽맵 기반의 덱스트 온톨로지 방법론을 제시하였다. 이 방법론은 지식 자원으로부터 지식을 분석하고 추출하는 온톨로지 모델링 단계와 형식 언어와 데이타 모델을 이용하여 온톨로지를 생성하는 온톨로지 구현 단계로 구성된다. 방법론과 함께 본 논문에서는 철학 온톨로지에 기반한 철학 지식 검색의 효율성을 보이기 위해 철학 지식 포털을 구현하였다.

• 디지털융복합연구
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• 제19권12호
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• pp.43-50
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• 2021

본 논문은 지난 10년간(2011~2021) 발간된 산학협력에 대한 국내 논문과 국외 논문의 비교 분석을 통해 국내 산학협력의 동향을 파악하고 국외 산학협력 연구 주제와 비교하고자 한다. 수집된 전체 기사의 특색을 파악하기 위해 키워드 네트워크 분석과 토픽 모델링 분석을 실시하였다. 주요 결과는 다음과 같다. 국내 논문은 학교, 고용, 교육, 특허, 교수 등이 주요 토픽이며 관련 키워드가 영향력 있는 키워드로 나타났다. 국외 논문의 경우, 프로젝트, 정책, 혁신, 회사 등이 주요 토픽이며 관련 키워드가 영향력 있는 것으로 나타났다. 본 연구 결과는 국내 산학협력은 대학, 교수가 고용을 위한 교육을 설계하고 주도해 왔다고 해석될 수 있으며, 향후 국내 산학협력 활동이 '연구'와 '기술이전' 영역에서 보다 활발히 이루어질 필요가 있으며, 이를 위해서 정부의 관련 정책과 지원이 학교와 기업 모두 이익을 얻을 수 있는 양방향 관계 수립에 중점을 두어야 함을 시사한다.

• Computers and Concrete
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• 제8권1호
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• pp.23-41
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• 2011

The behaviour of concrete confined by transverse reinforcement is a classical topic. Numerous studies have been conducted to establish the stress-strain relationships for concrete under various confining reinforcement arrangements. Many empirical and semi-empirical formulas exist. Simplified analytical models have also been proposed to evaluate the increase in the strength and ductility of confined concrete. However, relatively few studies have been conducted to utilise advanced computational models for a realistic simulation of the behaviour of concrete confined by transverse reinforcement. As a matter of fact, high fidelity simulations using the latest numerical solvers in conjunction with advanced material constitutive models can be a powerful means to investigating the mechanisms underlying the confining effects of different reinforcement schemes. This paper presents a study on the use of high fidelity finite element models for the investigation of the behaviour of concrete confined by stirrups, as well as the interpretation of the numerical results. The development of the models is described in detail, and the essential modelling considerations are discussed. The models are then validated by simulating representative experimental studies on short columns with different confining reinforcement schemes. The development and distribution of the confining stress and the subsequent increase in the axial strength are examined. The models are shown to be capable of reproducing the behaviour of the confined concrete realistically, paving a way for systematic parametric studies and investigation into complicated confinement, load combination, and dynamic loading situations.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2009년도 춘계 학술발표회
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• pp.444-455
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• 2009

Great concerns on geotechnical risk & hazard assessment have been increased due to human and economic damage by natural disasters with recent global climate changes. In this paper, geotechnical problems in particular, landslides which is interested in European countries and North America, were mainly discussed. For these, 18 key topics on geotechnical risk and hazards which had been discussed at the LARAM 2008 workshop in Italy were analyzed after grouping by subjects. Main topic contents consisted of applications such as field measurement, early warning systems, uncertainty analysis of parameters using radar, optical data and statistical theory and so on. And the problems related to analysis of vulnerability and deformation due to earthquakes, investigation of gas zone using seismic reflection data in a landslide area, risk quantification and hazard assessment of landslide movements and multi-dimensional analysis for stability of complex slopes were attracted. Also, there were studies on risk matters of cultural heritage, the blockglide of clayey ground, simulations of debris flows based on GIS, quantification of the failure processes of rock slopes, a meshless method for 3D crack modelling, and finally risk assessment for cryological processes due to global warming.

• Translational and Clinical Pharmacology
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• 제26권4호
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• pp.155-159
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• 2018

For regulatory approval of a new drug, the most preferred and reliable source of evidence would be randomized controlled trials (RCT). However, a great number of drugs, being developed as well as already marketed and being used, usually lack proper indications for children. It is imperative to develop properly evaluated drugs for children. And expanding the use of already approved drugs for other indications will benefit patients and the society. Nevertheless, to get an approval for expansion of indications, most often with off-label experiences, for drugs that have been approved or for the development of pediatric indications, either during or after completing the main drug development, conducting RCTs may not be the only, if not right, way to take. Extrapolation strategies and modelling & simulation for pediatric drug development are paving the road to the better approval scheme. Making the use of data sources other than RCT such as EHR and claims data in ways that improve the efficiency and validity of the results (e.g., randomized pragmatic trial and randomized registry trial) has been the topic of great interest all around the world. Regulatory authorities should adopt new methodologies for regulatory approval processes to adapt to the changes brought by increasing availability of big and real world data utilizing new tools of technological advancement.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3793-3814
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• 2021

Most secure solutions like cryptography are software based and they are designed to mainly deal with the outside attacks for traditional networks, but such soft security is hard to be implemented in wireless sensor networks to counter the inside attacks from internal malicious nodes. To address this issue, reputation has been introduced to tackle the inside malicious nodes. Reputation is essentially a stimulating mechanism for nodes' cooperation and is employed to detect node misbehaviors and improve the trust-worthiness between individual nodes. Among the reputation models, binomial distribution based reputation has many advantages such as light weight and ease of implementation in resource-constraint sensor nodes, and accordingly researchers have proposed many insightful related methods. However, some of them either directly use the modelling results, apply the models through simple modifications, or only use the required components while ignoring the others as an integral part of the whole model, this topic still lacks a comprehensive and systematical review. Thus the motivation of this study is to provide a thorough survey concerning each detailed functional components of binomial distribution based reputation for wireless sensor networks. In addition, based on the survey results, we also argue some open research problems and suggest the directions that are worth future efforts. We believe that this study is helpful to better understanding the reputation modeling mechanism and its components for wireless sensor networks, and can further attract more related future studies.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.375-383
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• 2021

The justice issue in the service recovery process has become an interesting topic especially in rural banks in Indonesia. There are two types of justice issues in handling the complaint process; distributive and informational. This study aims to analyze the effect of distributive and informational justice on complaint handling satisfaction. This study also examines the mediating role of positive and negative emotions on the effect of justice in post-merger rural banks. This research employs a survey by distributing a questionnaire to 238 customers who have complained to one of the post-merger rural banks in West Java and Yogyakarta. This study uses the structural equation modelling (SEM) method by WarpPLS software. The results reveal that distributive and informational justice have a positive effect on positive and negative emotions, while informational justice does not affect positive and negative emotions. Distributive and informational justice directly affect satisfaction over complaint handling. On the other hand, positive and negative emotions affect satisfaction over complaint handling. The findings of this study suggest that positive emotion also mediates the distributive justice effect on satisfaction over complaint. Lastly, positive and negative emotions do not mediate the informational justice effect on satisfaction over complaint handling at post-merger rural banks in West Java and Yogyakarta, Indonesia.