• 한국전자통신학회논문지
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• 제13권1호
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• pp.207-212
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• 2018

빅데이터 시대에 각광받고 있는 데이터 분석 도구인 R은 강력한 통계 분석 기능과 데이터 가시화 기능을 제공함으로 인해 그 사용자를 급속히 넓혀 가고 있다. 오픈소스 기반으로서의 다양한 기능 확장성이 R의 강점인데 반해 규모 확장성이 미흡함으로 인해 대용량 데이터 처리에서의 성능 제약이 발생한다. 이를 보완하기 위한 확장 패키지 중 하나인 RHadoop은 R로 작성된 코드에 대해 하둡 플랫폼 기반 병렬 분산 처리를 지원하므로 데이터 분석 성능을 높일 수 있다. 본 논문에서는 인터넷을 통해 공개되는 실제 보건의료 빅데이터를 이용한 데이터 분석에서 RHadoop을 활용할 때 얻을 수 있는 성능 개선을 평가함으로써 RHadoop의 유효성을 검증한다. 본 연구를 통해 R과 RHadoop에서 국민건강보험 진료내역정보를 각각 분석한 결과 8개의 데이터 노드로 구성된 RHadoop 클러스터가 R과 비교하여 최대 8배 이상 성능을 개선시킬 수 있음을 입증하였다.

• 멤브레인
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• 제25권2호
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• pp.85-98
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• 2015

고분자의 용이한 가공성과 우수한 투명성, 그리고 합리적인 비용 효율로 인해 식품 포장 산업에서 금속이나 유리용기들을 고분자 기반의 포장 소재들로 대체하려는 경향이 전 세계적으로 널리 퍼지고 있다. Barrier 고분자들은 산소, 이산화탄소, 수증기 등 대기 가스에 대한 낮은 투과성을 나타내고 있어 식품 포장 산업 이용에 유용하다. 이러한 식품 포장 산업의 전반적인 추세와 함께, 산소에 민감한 주스, 착향 음료, 그리고 에너지 음료 등 새로운 식품 산업의 성장으로 인해 고성능의 barrier 특성, 특히 $O_2$와 $CO_2$에 대해 낮은 투과성을 지닌 고분자 포장 소재의 개발이 시급한 상황이다. 기존의 고분자에 기반한 barrier의 성능 향상은 새로운 식품 포장 산업에 급격한 변화를 줄 것이다. 본 총설에서는 (1) antiplasticization을 유도한 barrier 소재들, (2) antiplasticization과 crystallization을 사용한 barrier 성능 상승 효과, (3) 새로운 barrier 고분자들, (4) 나노합성 소재, (5) 혼합 고분자 등과 더불어, 차세대 포장 소재들의 특성 분석을 소개하고자 한다.

• Smart Structures and Systems
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• 제6권5_6호
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• pp.595-618
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• 2010

This paper describes the application of a wireless sensor network to a 31 meter-tall medieval tower located in the city of Trento, Italy. The effort is motivated by preservation of the integrity of a set of frescoes decorating the room on the second floor, representing one of most important International Gothic artworks in Europe. The specific application demanded development of customized hardware and software. The wireless module selected as the core platform allows reliable wireless communication at low cost with a long service life. Sensors include accelerometers, deformation gauges, and thermometers. A multi-hop data collection protocol was applied in the software to improve the system's flexibility and scalability. The system has been operating since September 2008, and in recent months the data loss ratio was estimated as less than 0.01%. The data acquired so far are in agreement with the prediction resulting a priori from the 3-dimensional FEM. Based on these data a Bayesian updating procedure is employed to real-time estimate the probability of abnormal condition states. This first period of operation demonstrated the stability and reliability of the system, and its ability to recognize any possible occurrence of abnormal conditions that could jeopardize the integrity of the frescos.

• Smart Structures and Systems
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• 제6권5_6호
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• pp.579-593
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• 2010

Low-power radio frequency (RF) chip transceiver technology and the associated structural health monitoring platforms have matured recently to enable high-rate, lossless transmission of measurement data across large-scale sensor networks. The intrinsic value of these advanced capabilities is the allowance for high-quality, rapid operational modal analysis of in-service structures using distributed accelerometers to experimentally characterize the dynamic response. From the analysis afforded through these dynamic data sets, structural identification techniques can then be utilized to develop a well calibrated finite element (FE) model of the structure for baseline development, extended analytical structural evaluation, and load response assessment. This paper presents a case study in which operational modal analysis is performed on a three-span prestressed reinforced concrete bridge using a wireless sensor network. The low-power wireless platform deployed supported a high-rate, lossless transmission protocol enabling real-time remote acquisition of the vibration response as recorded by twenty-nine accelerometers at a 256 Sps sampling rate. Several instrumentation layouts were utilized to assess the global multi-span response using a stationary sensor array as well as the spatially refined response of a single span using roving sensors and reference-based techniques. Subsequent structural identification using FE modeling and iterative updating through comparison with the experimental analysis is then documented to demonstrate the inherent value in dynamic response measurement across structural systems using high-rate wireless sensor networks.

• PNF and Movement
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• 제19권2호
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• pp.153-162
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• 2021

Purpose: The purpose of this study was to investigate the difference in the dynamic balance and leg muscle activity of adults in their 20s with or without shoes. Methods: In this study, seven male and 11 female university students in their 20s were randomized to determine the order of being with or without shoes, and the dominant foot was supported on the central platform of dynamic balance according to the order procedure. Using the opposite foot, the distance of leg stretching in the anterior, posterior medial, and posterior lateral directions and the muscle activity of the supporting leg were measured. Muscle activity measurement sites were attached to the dominant vastus medialis oblique muscle, vastus lateral oblique muscle, tibialis anterior muscle, peroneus longus muscle, and lateral gastrocnemius muscle. Results: As a result of this study, the distance of leg stretching was significantly increased in the anterior, posterior medial, and posterior lateral directions when barefoot rather than when wearing shoes (p < 0.05). The muscle activity of the vastus medial and lateral oblique muscles was significantly increased in all three directions when barefoot rather than when wearing shoes (p < 0.05). The muscle activity of the tibialis anterior was significantly increased in the anterior direction when barefoot (p < 0.05), the peroneus longus muscle was significantly increased when it was barefoot in the posterior medial direction (p < 0.05), and the lateral gastrocnemius muscle activity significantly increased when barefoot in the posterior direction (p < 0.05). Conclusion: The movement of the legs is freed when barefoot as compared to when wearing shoes, and being barefoot can effectively activate muscle activity and improve balance ability.

• 한국동물위생학회지
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• 제44권4호
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• pp.185-194
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• 2021

Polyglutamine extension in the coding sequence of mutant huntingtin causes neuronal degeneration associated with the formation of insoluble polyglutamine aggregates in Huntington's disease (HD). Mutant huntingtin can form aggregates within the nucleus and processes of neurons possibly due to misfolding of the proteins. To better understand the mechanism by which an elongated polyglutamine causes aggregates, we have developed an in vitro binding assay system of polyglutamine tract from truncated huntingtin. We made GST-HD exon1 fusion proteins which have expanded polyglutamine epitopes (e.g., 17, 23, 32, 46, 60, 78, 81, and 94 CAG repeats). In the present emergence of new study adjusted nanotechnology on protein chip such as surface plasmon resonance strategy which used to determine the substance which protein binds in drug discovery platform is worth to understand better neurodegenerative diseases (i.e., Alzheimer disease, Parkinson disease and Huntington disease) and its pathogenesis along with development of therapeutic measures. Hence, we used strengths of surface plasmon resonance (SPR) technology which is enabled to examine binding specificity and explore targeted molecular epitope using its electron charged wave pattern in HD pathogenesis utilize conjugated mutant epitope of HD protein and its interaction whether wild type GST-HD interacts with mutant GST-HD with maximum binding affinity at pH 6.85. We found that the maximum binding affinity of GST-HD17 with GST-HD81 was higher than the binding affinities of GST-HD17 with other mutant GST-HD constructs. Furthermore, our finding illustrated that the mutant form of GST-HD60 showed a stronger binding to GST-HD23 or GST-HD17 than GST-HD60 or GST-HD81. These results indicate that the binding affinity of mutant huntingtin does not correlate with the length of polyglutamine. It suggests that the aggregation of an expanded polyglutamine might have easily occurred in the presence of wild type form of huntingtin.

• 적정기술학회지
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• 제6권2호
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• pp.211-218
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• 2020

세계보건기구(WHO)가 3월 11일 코로나19에 대해 팬데믹(Pandemic)을 선언한 이후 현재 ('20.05.29 기준) 214개 국가에서 580만명이 넘는 확진자가 발생했으며, 사망자는 약 36만명에 이른다. 코로나 19의 세계적 유행은 수 많은 국가와 도시의 봉쇄를 야기했고 강력한 사회적 거리 두기는 보건, 교육, 정치, 종교, 경제 등 거의 모든 분야에 많은 영향을 주고있다. 우리나라는 코로나19에 대응하기위하여 다양한 디지털 기술을 적극적으로 활용하고 있으며 이러한 대응은 국제적으로 성공적인 사례로 소개되고 있다. 본 논문에서는 이중에서 코로나19 역학조사지원시스템의 개발 배경 및 과정과 함께 시스템의 기능을 소개하고 이 시스템이 아주 짧은 기간에 개발 및 실제 적용 될 수 있도록 결정적인 역할을 한 스마트시티 데이터허브 기술에 대해서 소개하고자 한다. 또한, 본 사례를 기반으로 도시에서 데이터허브 등과 같은 수평적 공통 플랫폼의 미래의 도시에서 역할과 중요성에 대하여 논하고자 한다.

• 가정간호학회지
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• 제29권3호
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• pp.278-287
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• 2022

Purpose: To analyze Korean nurse-related channels and video titles on YouTube, the world's largest online video sharing and social media platform, to clarify public opinion and image of nurses. We seek utilization strategies and measures through current status analysis. Methods: Data is collected by crawling video information related to Korean nurses, and correlation is analyzed with frequent word analysis and keyword network analysis. Results: Through the YouTube algorithm, 2,273 videos of 'Nurse' were analyzed in order of recent views, relevance, and rating, and 2,912 videos searched for with the keyword 'Nurse + Hospital, COVID-19, Awareness, University, National Examination' were analyzed. Numerous videos were uploaded, and nursing work that was uploaded in the form of a vlog recorded a high number of views. Conclusion: We could see if the YouTube video shows images of nurses. It has been confirmed that various information is being exchanged rather than information just for promotional purposes.

• 대한한방소아과학회지
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• 제36권3호
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• pp.1-18
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• 2022

Objectives The purpose of this study was to investigate the current status of interventional clinical trial registration for children with precocious puberty and to secure basic data for the design of clinical trials for traditional Korean medicine treatment of precocious puberty. Methods The following resources were used to search for data: Clinicaltrial.gov, World Health Organization International Clinical Trials Registry Platform (WHO ICTRP), and Clinical Research Information Service (CRIS), using the search terms, 'Precocious puberty', 'child'. All clinical trials which were registered as of June 2022 were used. Results For the intervention and clinical trial design, gonadotropin releasing hormone (GnRH) analog was reported in 41.7% of trials, and single group assignment was performed in 66.7% of the studies. Prior consent had not been reported in 50% of the studies. Tanner stage and GnRH stimulation tests were reported by multiple trials as inclusion criteria, and prior treatment experiences for trial drugs were reported as exclusion criteria. The peak serum concentration of luteinizing hormone following GnRH stimulation test was used as a primary outcome in 45.8% of clinical trials, and other growth-related indicators such as growth rate, height, and predicted adult height were also reported. Conclusions In consideration of the design, eligibility criteria, and outcome measurement of the existing clinical trials identified in this study, it should be referred to in the design of clinical trials for traditional Korean medicine treatment of precocious puberty.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제11권9호
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• pp.381-390
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• 2022

자연어처리 기술과 비대면 문화의 확산과 더불어 챗봇의 사용 증가세가 가파르며, 챗봇의 용도 또한 일상 대화와 소비자 응대를 넘어서 정신건강을 위한 용도로 확장하고 있다. 챗봇은 익명성이 보장된다는 점에서 사용자들이 우울감에 관해 이야기하기 적합한 서비스이다. 그러나 사용자가 작성한 문장들을 분석해 우울 담론의 유형과 특성을 파악하는 연구들은 주로 소셜 네트워크 데이터를 대상으로 했다는 한계점이 존재하며, 실제 환경에서 사용되는 챗봇과 상호작용한 데이터를 분석한 연구는 찾아보기 힘들다. 이 연구에서는 챗봇-사람의 상호작용 데이터에서 무작위로 추출한 '우울'과 관련된 대화 데이터를 토픽 모델링 방법과 텍스트마이닝 기법으로 분석하여 채팅에서의 우울 관련 담론의 특성을 파악하였다. 또한, 챗봇에서 빈번히 나타나는 '우울' 담론의 범주와 트위터 '우울' 담론의 범주의 차이점을 비교하였다. 이를 통해 챗봇 데이터의 '우울' 대화만의 특징을 파악하고, 적절한 심리지원 정보를 제공하는 챗봇 서비스를 위한 시사점과 향후 연구 방향에 대해 논의한다.