SOAP 기반 모바일 스마트 홈 정보 탐색 서비스

김지영 ( Jeu Young Kim ),이지현 ( Jihyun Lee ),손지연 ( Ji Yeon Son ),박준희 ( Jun Hee Park ) 한국정보처리학회 2011 한국정보처리학회 학술대회논문집 Vol.18 No.1

홈 네트워크 분야는 현재 유무선 통신과 디지털 정보 기기를 기반으로 지능화 된 주거 공간을 제공하고자 하는 스마트 홈 연구가 활발하게 진행 중이다. 최근 사용자에게 더 편리하고 실용적인 스마트 홈 서비스를 어떻게 제공할 것인가에 대한 이슈가 대두되고 있다. 본 논문에서는 이를 위해 범용성, 유용성, 편의성을 고려한 서비스에 대해 연구하였다. 플랫폼 독립적인 웹서비스를 기반으로 홈 내 자원에 대한 기본 정보을 제공하고, 자원 사이의 관계 상황을 찾아 새로운 관계 정보를 제공한다. 이를 활용하여 사용자 편의적인 인터페이스를 가진 모바일 응용 프로그램을 개발하였다. 향후 장애 정보와 결합하여 홈 내 유지보수 서비스로의 확장을 기대한다.

Activation of invariant natural killer T cells stimulates adipose tissue remodeling via adipocyte death and birth in obesity

Park, Jeu,Huh, Jin Young,Oh, Jiyoung,Kim, Jong In,Han, Sang Mun,Shin, Kyung Cheul,Jeon, Yong Geun,Choe, Sung Sik,Park, Jiyoung,Kim, Jae Bum Cold Spring Harbor Laboratory Press 2019 Genes & development Vol. No.

<P>In this study, Park et al. set out to elucidate the mechanism by which adipose-resident invariant natural killer T cells (iNKT) cells impact adipose tissue remodeling in obesity. Using in vitro and ex vivo approaches, the authors found that, in obesity, adipose iNKT cells can kill hypertrophic and pro-inflammatory adipocytes via FasL-Fas-dependent apoptosis, thus providing new insight into the role adipose iNKT cells play in promoting healthy adipose tissue remodeling.</P><P>In obesity, adipose tissue undergoes dynamic remodeling processes such as adipocyte hypertrophy, hypoxia, immune responses, and adipocyte death. However, whether and how invariant natural killer T (iNKT) cells contribute to adipose tissue remodeling are elusive. In this study, we demonstrate that iNKT cells remove unhealthy adipocytes and stimulate the differentiation of healthy adipocytes. In obese adipose tissue, iNKT cells were abundantly found nearby dead adipocytes. FasL-positive adipose iNKT cells exerted cytotoxic effects to eliminate hypertrophic and pro-inflammatory Fas-positive adipocytes. Furthermore, in vivo adipocyte-lineage tracing mice model showed that activation of iNKT cells by alpha-galactosylceramide promoted adipocyte turnover, eventually leading to potentiation of the insulin-dependent glucose uptake ability in adipose tissue. Collectively, our data propose a novel role of adipose iNKT cells in the regulation of adipocyte turnover in obesity.</P>

Deletion of CD1d in Adipocytes Aggravates Adipose Tissue Inflammation and Insulin Resistance in Obesity

Huh, Jin Young,Park, Jeu,Kim, Jong In,Park, Yoon Jeong,Lee, Yun Kyung,Kim, Jae Bum American Diabetes Association 2017 Diabetes Vol. No.

<P>Adipose tissue inflammation is an important factor in obesity that promotes insulin resistance. Among various cell types in adipose tissue, immune cells actively regulate inflammatory responses and affect whole-body energy metabolism. In particular, invariant natural killer T (iNKT) cells contribute to mitigating dysregulation of systemic energy homeostasis by counteracting obesity-induced inflammation in adipose tissue. However, the molecular mechanisms by which adipose iNKT cells become activated and mediate anti-inflammatory roles in obese adipose tissue have not been thoroughly understood yet. In the current study, we demonstrate that adipocyte CD1d plays a key role in the stimulation of adipose iNKT cells, leading to anti-inflammatory responses in high-fat diet (HFD)-fed mice. Accordingly, adipocyte-specific CD1d-knockout (CD1d(ADKO)) mice showed reduced numbers of iNKT cells in adipose tissues and decreased responses to alpha-galactosylceramide-induced iNKT cell activation. Additionally, HFD-fed CD1d(ADKO) mice revealed reduced interleukin-4 expression in adipose iNKT cells and aggravated adipose tissue inflammation and insulin resistance. Collectively, these data suggest that adipocytes could selectively stimulate adipose iNKT cells to mediate anti-inflammatory responses and attenuate excess proinflammatory responses in obese adipose tissue.</P>

SREBP1c-PAX4 Axis Mediates Pancreatic β-Cell Compensatory Responses Upon Metabolic Stress

Lee, Gung,Jang, Hagoon,Kim, Ye Young,Choe, Sung Sik,Kong, Jinuk,Hwang, Injae,Park, Jeu,Im, Seung-Soon,Kim, Jae Bum American Diabetes Association 2019 Diabetes Vol.68 No.1

<P>SREBP1c is a key transcription factor for de novo lipogenesis. Although SREBP1c is expressed in pancreatic islets, its physiological roles in pancreatic β-cells are largely unknown. In this study, we demonstrate that SREBP1c regulates β-cell compensation under metabolic stress. SREBP1c expression level was augmented in pancreatic islets from obese and diabetic animals. In pancreatic β-cells, SREBP1c activation promoted the expression of cell cycle genes and stimulated β-cell proliferation through its novel target gene, <I>PAX4</I>. Compared with <I>SREBP1c<SUP>+/+</SUP></I> mice, <I>SREBP1c<SUP>−/−</SUP></I> mice showed glucose intolerance with low insulin levels. Moreover, β-cells from <I>SREBP1c<SUP>−/−</SUP></I> mice exhibited reduced capacity to proliferate and secrete insulin. Conversely, transplantation of SREBP1c-overexpressing islets restored insulin levels and relieved hyperglycemia in streptozotocin-induced diabetic animals. Collectively, these data suggest that pancreatic SREBP1c is a key player in mediating β-cell compensatory responses in obesity.</P>

그리드 환경의 적응형 오류 극복 관리 시스템 설계 및 구현

김은경,김지영,김윤희,Kim, Eun-Kyung,Kim, Jeu-Young,Kim, Yoon-Hee 한국정보처리학회 2008 정보처리학회논문지 A Vol.15 No.3

서비스 이동과 자원 상태 변화 등 실행 환경 변화가 빈번히 발생하는 그리드 컴퓨팅 환경은 다양한 응용 프로그램 작업 환경을 지원하고 사용자에게 끊임없는 작업 환경을 보장하기 위하여 고가용성을 지원하는 미들웨어가 필수적으로 필요하다. 기존의 분산 환경 미들웨어 역시 고가용성 지원 서비스가 일부 연구자에 의해 진행되고 있으나 공개표준은 아니며 다양한 그리드 서비스에 대한 고려가 없다. 본 논문에서는 환경에 따라 적응하는 서비스 미들웨어 런타임 서비스 관리 시스템을 통해 자율적으로 작업 환경을 재구성하도록 하여 미들웨어의 가용성을 증대시키고 안정적으로 서비스의 계속성과 데이터 및 자료의 일관성을 보장하는 방법을 제시하고 프로토타입 Wapee(Web-Service based Application Execution Environment)를 통해 실제 환경에서 적용 가능성을 확인한다. A middleware in grid computing environment is required to support seamless on-demand services over diverse resource situations in order to meet various user requirements [1]. Since grid computing applications need situation-aware middleware services in this environment. In this paper, we propose a semantic middleware architecture to support dynamic software component reconfiguration based fault and service ontology to provide fault-tolerance in a grid computing environment. Our middleware includes autonomic management to detect faults, analyze causes of them, and plan semantically meaningful strategies to recover from the failure using pre-defined fault and service ontology trees. We implemented a referenced prototype, Web-service based Application Execution Environment(Wapee), as a proof-of-concept, and showed the efficiency in runtime recovery.

Evaluation of physical stress effects on systemic anaphylaxis occurrence using mice model

Yong Heo(허용),Seung-Hye Lee,Young-Jeu Heo,Ji-Youn Kim,Hyun-Jung Choi,Ha-Jung Han,Ju-Hee Han,Min-Young Oh,Chang-Yul Kim,Hee-Sung Park 한국실험동물학회 2005 한국실험동물학회 학술발표대회 논문집 Vol.2005 No.-

RAFD: Resource-aware fault diagnosis system for home environment with smart devices

Ji-Yeon Son,Ji-Hyun Lee,Jeu-Young Kim,Jun-Hee Park,Young-Hee Lee IEEE 2012 IEEE transactions on consumer electronics Vol.58 No.4

<P>With recent advancement in technologies used at home, smart home environment allows various resources such as device, network, or content to be connected to one another. Their configurations are changed by dynamic bindings at any time. In this smart home environment, a minor problem in a resource can trigger serious failures in home network services by causing multiple faults to the related resources simultaneously. To solve this problem, it is essential to analyze the dependency between resources and also to diagnose home network faults autonomously. This paper proposes the effective fault diagnosis system based on resource relation map which is dynamically constructed by information convergence model of heterogeneous home resources. The proposed system provides the tracing method for finding the root cause of a fault using the resource relation map. The resource relation map represents the snapshot of home situations at the given time. The proposed fault diagnosis method allows building cost effective remote maintenance system with high availability and manageability by tracing the fault cause along the dependency between resources using graph-style resource relation map as if humans trace the cause of problem. In addition, it can contribute to realize an autonomic fault management system for smart home. In this paper, the prototype of the proposed system is implemented and evaluated for performance in accuracy and latency of fault diagnosis in a real environment. The experimental results show that the proposed system, especially with the suggested back tracing diagnosis system, yields remarkable performance for home network fault diagnosis.</P>