• 시스템엔지니어링학술지
• /
• 제15권2호
• /
• pp.66-71
• /
• 2019

In digital pathology, an electronic system in the biomedical domain storage of the files is a big constrain and because all the analysis and annotation takes place at every user-end manually, it becomes even harder to manage the data that is being shared inside an enterprise. Therefore, we need such a storage system which is not only big enough to store all the data but also manage it and making communication of that data much easier without losing its true from. A virtual server setup is one of those techniques which can solve this issue. We set a main server which is the main storage for all the virtual machines(that are being used at user-end) and that main server is controlled through a hypervisor so that if we want to make changes in storage overall or the main server in itself, it could be reached remotely from anywhere by just using the server's IP address. The server in our case includes XML-RPC based API which are transmitted between computers using HTTP protocol. JAVA API connects to HTTP/HTTPS protocol through JAVA Runtime Environment and exists on top of other SDK web services for the productivity boost of the running application. To manage the server easily, we use Tkinter library to develop the GUI and pmw magawidgets library which is also utilized through Tkinter. For managing, monitoring and performing operations on virtual machines, we use Python binding to XML-RPC based API. After all these settings, we approach to make the system user friendly by making GUI of the main server. Using that GUI, user can perform administrative functions like restart, suspend or resume a virtual machine. They can also logon to the slave host of the pool in case of emergency and if needed, they can also filter virtual machine by the host. Network monitoring can be performed on multiple virtual machines at same time in order to detect any loss of network connectivity.

• 한국약용작물학회:학술대회논문집
• /
• 한국약용작물학회 2007년도 추계학술발표회
• /
• pp.319.1-319.1
• /
• 2007

• Genomics & Informatics
• /
• 제17권2호
• /
• pp.12.1-12.2
• /
• 2019

• Genomics & Informatics
• /
• 제19권3호
• /
• pp.20.1-20.2
• /
• 2021

• Journal of Photoscience
• /
• 제9권2호
• /
• pp.518-520
• /
• 2002

Photodynamic therapy (PDT) is a treatment modality based on photochemical reaction and the resultant cytotoxic reactive oxygen species. The platelet thrombus formation leading to stasis observed in vivo during PDT is called vascular shut down (VSD) effect. To investigate the mechanism of the VSD effect, we observed Human Umblical Vein Endothelial Cell (HUVEC) injury induced by photochemical reaction. We observed cell retraction and blebbing after PDT. It seems that the injury was not fetal and only morphological change. Then, the cytoplasm was stained by Calcein-AM and subendothelial area was evaluated from fluorescence microscopy. The rate of subendothelial area after PDT increased significantly. Second, we investigated interaction between neutrophils and HUVEC. Human promyelocytic leukemia cells (HL-60) were differentiated into neutrophil by incubation with all-trans retinoic acid. Calcein-AM labeled neutrophil adhesion to HUVEC was evaluated from fluorescence microscopy. PDT-induced neutrophil adhesion to HUVEC depended more on the exposure of subendothlial area than on neutrophil activation. This result suggests that there is a certain interaction between neutrophil and HUVEC during PDT.

• Genomics & Informatics
• /
• 제1권2호
• /
• pp.87-93
• /
• 2003

DNA microarray is currently the most prominent tool for investigating large-scale gene expression data. Different algorithms for measuring gene expression levels from scanned images of microarray experiments may significantly impact the following steps of functional genomic analyses. $Affymetrix^{(R)}$ recently introduced high-density microarrays and new statistical algorithms in Microarray Suit (MAS) version 5.0$^{(R)}$. Very high correlations (0.92 - 0.97) between the new algorithms and the old algorithms (MAS 4.0) across several species and conditions were reported. We found that the column-wise array correlations had a tendency to be much higher than the row-wise gene correlations, which may be much more meaningful in the following higher-order data analyses including clustering and pattern analyses. In this paper, not only the detailed comparison of the two sets of algorithms is illustrated, but the impact of the introducing new algorithms on the further clustering analysis of microarray data and of possible pitfalls in mixing the old and the new algorithms were also described.

• Genomics & Informatics
• /
• 제1권2호
• /
• pp.94-100
• /
• 2003

Motivation: Many have observed a nonlinear relationship between the signal intensity and the transcript abundance in microarray data. The first step in analyzing the data is to normalize it properly, and this should include a correction for the nonlinearity. The commonly used linear normalization schemes do not address this problem. Results: Nonlinearity is present in both cDNA and oligonucleotide arrays, but we concentrate on the latter in this paper. Across a set of chips, we identify those genes whose within-chip ranks are relatively constant compared to other genes of similar intensity. For each gene, we compute the sum of the squares of the differences in its within-chip ranks between every pair of chips as our statistic and we select a small fraction of the genes with the minimal changes in ranks at each intensity level. These genes are most likely to be non-differentially expressed and are subsequently used in the normalization procedure. This method is a generalization of the rank-invariant normalization (Li and Wong, 2001), using all available chips rather than two at a time to gather more information, while using the chip that is least likely to be affected by nonlinear effects as the reference chip. The assumption in our method is that there are at least a small number of non­differentially expressed genes across the intensity range. The normalized expression values can be substantially different from the unnormalized values and may result in altered down-stream analysis.

• 대한불안의학회지
• /
• 제3권1호
• /
• pp.26-31
• /
• 2007

Object : This study was designed to assess the change of heart rate variability (HRV) during stimulation test among the patients with major depressive disorder. Methods : 15 patients with major depressive disorder (MDD) and 15 normal controls were enrolled in this study. We sequentially measured HRV at baseline, during cognitive stimuli and emotional stimuli. Results : There are significant differences between the two groups in HRV index, TINN on baseline state and under cognitive stimulus. Conclusion : Stimulation protocol using HRV can be useful in estimating autonomic nervous function.

• 대한의생명과학회지
• /
• 제10권4호
• /
• pp.485-493
• /
• 2004

In the current field of Medical Informatics, the information increases, and changes fast, so we can access the various data types which are ranged from text to image type. A small number of technician digitizes these data to establish database, but it is needed a lot of money and time. Therefore digitization by many end-users confronting data and establishment of searching database is needed to manage increasing information effectively. New data and information are taken fast to provide the quality of care, diagnosis which is the basic work in the medicine. And also It is needed the medical database for purpose of private study and novice education, which is tool to make various data become knowledge. However, current medical database is used and developed only for the purpose of hospital work management. In this study, using text input, file import and object images are digitized to establish database by people who are worked at the medicine field but can not expertise to program. Data are hierarchically constructed and then knowledge is established using a tree type database establishment method. Consequently, we can get data fast and exactly through search, apply it to study as subject-oriented classification, apply it to diagnosis as time-depended reflection of data, and apply it to education and precaution through function of publishing questions and reusability of data.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2006년도 한국컴퓨터종합학술대회 논문집 Vol.33 No.1 (A)
• /
• pp.16-18
• /
• 2006

데이터마이닝 기법의 클러스터링 알고리즘은 생물정보학에서 데이터 셋의 사전 정보를 고려하지 않고 중요한 유전적, 생물학적 상호작용을 찾기 위하여 적용되고 있다. 그러나 다양한 형식의 수많은 알고리즘들은 바이오데이터의 다양한 특성들과 실험의 가정 때문에 다른 클러스터링 결과들을 만들 수 있다. 본 논문에서는 바이오 데이터 셋의 특성에도 적합하면서 양질의 클러스터링 결과를 만들기 위한 새로운 방법을 제안한다. 이 방법은 여러 가지 클러스터링 알고리즘의 결과들을 유전자 알고리즘의 기본 개념인 진화적 환경에서 가장 적합한 형질을 선택하는 문제와 결합하였다. 그리고 실제 데이터 셋을 이용하여 우리의 제안하는 방법을 증명하고 실험 결과로 최적의 클러스터 결과를 보인다.