• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.12B
• /
• pp.1708-1721
• /
• 2011

Recent outbreak of cattle diseases such as foot-and-mouth disease(FMD) requires constant monitoring of burial sites of mass cull of cattles. However, current monitoring system takes environmental samples from burial sites with period of between one and two weeks, which makes it impossible for non-stop management of hazardous bio-waste. Therefore, in this study, we suggest an improved real-time environmental monitoring system for such bio-hazardous sites based on wireless sensor networks, which makes constant surveillance of the FMD burial sites possible. The system consists mainly several wireless environmental monitoring sensors(i.e dust, Co2, VOC, NH3, H2S, temperature, humidity) nodes and GPS location tracking nodes. Through analysis of the relayed of the environmental monitoring data via gateway, the system makes it possible for constant monitoring and quick response for emergency situation of the burial sites. In order to test the effectiveness of the system, we have installed a set of sensor to gas outlets of the burial sites, then collected and analyzed measured bio-sensing data. We have conducted simulated emergency test runs and was able to detect and monitor the foul smell constantly. With our study, we confirm that the preventive measures and quick response of bio environmental accident are possible with the help of a real-time environmental monitoring system.

• The Korean Journal of Applied Statistics
• /
• v.29 no.6
• /
• pp.1117-1128
• /
• 2016

In genetic association studies with high-dimensional genomic data, regularization procedures based on penalized likelihood are often applied to identify genes or genetic regions associated with diseases or traits. A network-based regularization procedure can utilize biological network information (such as genetic pathways and signaling pathways in genetic association studies) with an outstanding selection performance over other regularization procedures such as lasso and elastic-net. However, network-based regularization has a limitation because cannot be applied to high-dimension genomic data with a group structure. In this article, we propose to combine data dimension reduction techniques such as principal component analysis and a partial least square into network-based regularization for the analysis of high-dimensional genomic data with a group structure. The selection performance of the proposed method was evaluated by extensive simulation studies. The proposed method was also applied to real DNA methylation data generated from Illumina Innium HumanMethylation27K BeadChip, where methylation beta values of around 20,000 CpG sites over 12,770 genes were compared between 123 ovarian cancer patients and 152 healthy controls. This analysis was also able to indicate a few cancer-related genes.

• The Journal of the Korea Contents Association
• /
• v.21 no.6
• /
• pp.62-70
• /
• 2021

2020 was a year in which the world spent in disorder due to the pandemic of Coronavirus infection-19(COVID-19). The pandemic was at the beginning of a turning point in history. For examples, the Black Death(Pest) that destroyed the feudal system of medieval Europe in the 14th century, smallpox that led to the destruction of the Inca Empire by Spain in the 17th century, and the Spanish flu that ended World War I early. The great transformation that will come after COVID-19 is presented from various fields and perspectives, but the understanding and direction of the transformation is ambiguous. This study attempts to derive and to analyze core terms based on a network of the future of globalization after COVID-19. Four Networks related to globalization, anti-globalization, and globalization and digitalization after COVID-19 were established respectively. A network integrating four networks was also constructed. The core terms were extracted from the hub nodes, the stress centrality, and the simplified network to which the K-core algorithm was applied. After COVID-19, the changes in globalization were analyzed from the extracted core terms. This study is thought to be meaningful to propose a method of deriving and analyzing core terms based on a network in understanding social changes after COVID-19.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.450-452
• /
• 2022

In this paper, we present a standard model of livestock epidemic service in the field of smart livestock, which is emerging as an important issue in smart agriculture. By using the network to identify the global livestock epidemic disease risk and provide relevant models to service users, it is expected that it will actually provide economic benefits to livestock owners and ultimately help the national livestock industry economy. In order to apply the standard livestock epidemic service standard model and the livestock infectious disease crisis mitigation standard model sharing method that is presented in conjunction with ICT to the standards in the domestic and international agricultural and livestock industries in the future, continuous research will be carried out.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.12-14
• /
• 2022

In this paper, we present a standard conceptual model of livestock epidemic service in the field of smart livestock, which is emerging as an important issue in smart agriculture. By using the network to identify the global livestock epidemic disease risk and provide relevant models to service users, it is expected that it will actually provide economic benefits to livestock owners and ultimately help the national livestock industry economy. In order to apply the standard livestock epidemic service standard model and the livestock infectious disease crisis mitigation standard model sharing method that is presented in conjunction with ICT to the standards in the domestic and international agricultural and livestock industries in the future, continuous research will be carried out.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.46 no.6
• /
• pp.44-55
• /
• 2009

Diagnosis of diseases using gene expression data obtained from microarray chip is an active research area recently. It has been done by general machine learning algorithms, because it is difficult to analyze directly. However, recent research results about the analysis based on the interaction between genes is essential for the gene expression analysis, which means the analysis using the traditional machine learning algorithms has limitations. In this paper, we classify the gene expression data using the hyper-network model that considers the higher-order correlations between the features, and then compares the classification accuracies. And also, we present the new hypo-network model that improve the disadvantage of existing model, and compare the processing performances of the existing hypo-network model based on general sequential processor and the improved hypo-network model implemented on parallel processors. In the experimental results, we show that the performance of our model shows improved and competitive classification performance than traditional machine learning methods, as well as, the existing hypo-network model. We show that the performance is maximized when the hypernetwork model is implemented on our parallel processors.

• Korean Journal of Social Welfare
• /
• v.69 no.2
• /
• pp.143-169
• /
• 2017

The purpose of this study was to explore the implications of the integrated support through the 'health - medical - welfare' network and the specific context of the operation through the experiences of the users who participated in the 301 network project of Seoul northern municipal hospital. To do this, In-depth interviews were carried out with 10 research participants. The data was analyzed by general qualitative research methods. As a result of analysis, users lost their willingness because of living in a vicious cycle of poverty and illness before participating in 301 network services, but through the participation of the service, they were able to receive the integrated support of 'cure-care-life stability'. These experiences ultimately led to the regeneration of the will of their lives. At the basis of this experience were operating strategies and conditions such as the formation of a diverse professional team, the establishment of a linkage system within and outside the hospital, the establishment of a treatment linkage system through the acquisition of treatment subsidies, and the linkage of resources at mediation level. As the attempt to integrate 'health, medical and welfare' with well-coordinated strategies and conditions showed the possibility of complementing the limitation of the health welfare support system in Korea, the extension of the related business was suggested. For this, it suggested the more stable stabilization of the linkage system and the improvement of the institutional aspect.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2007.04a
• /
• pp.77-80
• /
• 2007

현재 생명공학은 급속도로 발전하고 있으며, 이를 통해 만들어지는 생물정보의 양은 기하급수적으로 늘어나고 있다. 이러한 것을 가능하게 하는 기술 중의 하나인 마이크로어레이 기법은 현재 질병의 진단 및 신약 개발 등을 위해 사용되고 있다. 마이크로어레이 유전자 발현에 관한 분석은 크게 유의한 유전자 추출, 클러스터링, 분류 및 유전자 네트워크 구축 등으로 볼 수 있다. 유의한 유전자 식별을 위한 통계학적 방법으로 T-test 및 Wilcoxon Rank Sum test 등이 있다. 최근에는 수정인자를 추가하거나 혹은 퍼지이론 등의 지능정보 이론을 추가하여 그 계산결과를 좀 더 상세화하고 세분화하는 연구들이 계속되고 있다. 본 논문에서는 두 개의 그룹에서 발현된 유전자들 중 유의하게 발현되는 유전자를 식별하기 위한 방법으로 퍼지이론을 도입하여 유의한 유전자를 규명하는 FST(Fuzzy Significance Test) 방법을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.05a
• /
• pp.826-828
• /
• 2007

건강과 복지에 대한 사람들의 관심이 증대함에 따라 고령층 인구를 중심으로 병원에서 건강 점검 및 진료가 이루어졌던 기존의 Health산업 패러다임에서 연령층에 관계없이 언제, 어디서나 진료를 받을 수 있는 u-Health산업 패러다임으로 변화하고 있다. 이러한 흐름에 발맞추어 유비쿼터스 컴퓨팅 환경에서 혈압, 맥박, 심전도 등과 같은 의료정보뿐만 아니라 일상생활에서 획득한 정보를 통해 건강증진, 질병예방, 진료를 가능하게 하는 u-LifeCare 의료체계가 필요하다. u-LifeCare 를 지원하는 미들웨어는 유비쿼터스 환경에서 필수적인 기술 요소인 센서 네트워크 미들웨어와 상황인지 미들웨어를 통합하는 미들웨어이며, 라이프케어의 특성을 고려한 '초경량(LightWeight)의, 확장성(Scalability)있는, 보안성(Security)을 갖춘' 미들웨어이다.

• 한국HCI학회:학술대회논문집
• /
• 2007.02a
• /
• pp.932-937
• /
• 2007

생의학 분야 문헌의 양이 빠르게 증가함에 따라, 생의학 연구자들이 필요로 하는 정보를 얻기가 어렵게 되었다. 이를 해결하기 위해, 인간-컴퓨터 상호작용 분야에서는 생의학 문헌 검색 시스템, 또는 생의학 문헌의 정보 추출 시스템 등에 대한 연구가 진행되고 있다. 본 논문에서는 생의학 문헌으로부터 정보를 자동으로 추출하기 위한 관계정보 추출 시스템에 대해 소개한다. 소개하는 시스템은 크게 요약 수집 모듈, 관계 추출 모듈, 관계 가시화 모듈로 구성되어 있다. 우선, 요약 수집 모듈에서는 특정 주제의 문헌들을 검색 및 수집한다. 그리고, 관계 추출 모듈에서는 수집된 문헌들에 대해서, 단백질/유전자 등의 생물학 개체를 인식하고, 구문분석을 통하여 인식된 개체들 사이의 관계를 추출한다. 마지막으로, 관계 가시화 모듈에서는 추출된 관계를 통합하여 네트워크 형태로 가시화한다. 이 시스템은 생물학 실험 이전의 문헌 기반 타당성 검사, 단백질-단백질 상호작용 또는 특정 질병과 유전자의 조절관계 분석, 또는 대용량 문헌 처리를 통한 패스웨이 데이터베이스 구축 등에 활용될 수 있다.