• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 2000.11b
• /
• pp.318-324
• /
• 2000

Ultrasonic and magnetic resonance imaging systems are used to visualize the interior states of biological objects. These nondestructive methods have many advantages but too much expensive. And they do not give exact color information and may miss some details. If it is allowed to destruct some biological objects to get the interior and exterior information, constructing 3D image from the series of the sliced sectional images gives more useful information with relatively low cost. In this paper, PC based automatic 3D model generator was developed. The system was composed of three modules. One is the object handling and image acquisition module, which feeds and slices objects sequentially and maintains the paraffin cool to be in solid state and captures the sectional image consecutively. The second is the system control and interface module, which controls actuators for feeding, slicing, and image capturing. And the last is the image processing and visualization module, which processes a series of acquired sectional images and generates 3D graphic model. The handling module was composed of the gripper, which grasps and feeds the object and the cutting device, which cuts the object by moving cutting edge forward and backward. Sliced sectional images were acquired and saved in the form of bitmap file. The 3D model was generated to obtain the volumetric information using these 2D sectional image files after being segmented from the background paraffin. Once 3-D model was constructed on the computer, user could manipulate it with various transformation methods such as translation, rotation, scaling including arbitrary sectional view.

• Genomics & Informatics
• /
• v.21 no.3
• /
• pp.31.1-31.8
• /
• 2023

Multiple myeloma (MM) is a hematological malignancy. It is widely believed that genetic factors play a significant role in the development of MM, as investigated in numerous studies. However, the application of genomic information for clinical purposes, including diagnostic and prognostic biomarkers, remains largely confined to research. In this study, we utilized genetic information from the Genomic-Driven Clinical Implementation for Multiple Myeloma database, which is dedicated to clinical trial studies on MM. This genetic information was sourced from the genome-wide association studies catalog database. We prioritized genes with the potential to cause MM based on established annotations, as well as biological risk genes for MM, as potential drug target candidates. The DrugBank database was employed to identify drug candidates targeting these genes. Our research led to the discovery of 14 MM biological risk genes and the identification of 10 drugs that target three of these genes. Notably, only one of these 10 drugs, panobinostat, has been approved for use in MM. The two most promising genes, calcium signal-modulating cyclophilin ligand (CAMLG) and histone deacetylase 2 (HDAC2), were targeted by four drugs (cyclosporine, belinostat, vorinostat, and romidepsin), all of which have clinical evidence supporting their use in the treatment of MM. Interestingly, five of the 10 drugs have been approved for other indications than MM, but they may also be effective in treating MM. Therefore, this study aimed to clarify the genomic variants involved in the pathogenesis of MM and highlight the potential benefits of these genomic variants in drug discovery.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.49 no.3
• /
• pp.34-45
• /
• 2012

In this paper, we proposed and modeled a video contents protection system based on the infectious information hiding(IIH) technique as using characteristics of biological viruses. Our proposed IIH System considered the requisite important information for video contents protection as the infectious virus, and suggested a new paradigm about video contents protection that transmitted infectious information from contents(host) or video CODECs(viral vector). Also, we modeled the Pathogen, Mutant and Contagion virus as the infectious information and defined technical tools about verification of infectious information, kernel based IIH, contents based IIH and creation/regeneration of infectious information as main techniques for our IIH system. Finally, through simulations that carried the infectious information by using conventional information hiding algorithms as kernel based and contents based IIH techniques, we verified possibilities of our proposed IIH system.

• Journal of Scientific & Technological Knowledge Infrastructure
• /
• s.10
• /
• pp.70-75
• /
• 2002

우리나라는 생물다양성협약(CBD, Convention on Biological Diversity)의 당사국뿐만 아니라 2001년 5월 국제생물다양성정보기구(GBIF, Global Biodiversity Information Facility)에 투표회원국으로 가입하게됨으로써 국가적 차원의 생물다양성정보 전담기구(National Node)의 지정이 표면화되었고 국내 산재한 관련 DB의 통합, 관련 연구에 집중 및 범세계적 차원으로 대응해야하는 의무가 부여되었다.

• Journal of the Korean Professional Engineers Association
• /
• v.34 no.3
• /
• pp.10-15
• /
• 2001

The biotechnology is the study of biochemical and biological processes in living things. Since 1990's biotechnology has developed more repidly than all of the life technical industries, through the use of extremly sensitive analytical instruments, computers, and radioactive tracers. The biotechnician has been able to gain an understanding of the mechanisms and information on biotechnology, enables the biologist and biochemist to fine farther information about DNA techniques and human beings.

• Proceedings of the KOSOMBE Conference
• /
• v.1995 no.11
• /
• pp.269-272
• /
• 1995

• Proceedings of the KOSOMBE Conference
• /
• v.1995 no.05
• /
• pp.230-232
• /
• 1995

• Genomics & Informatics
• /
• v.7 no.3
• /
• pp.168-170
• /
• 2009

The explosion in biological data resulting from high-throughput experiments requires new software tools to manipulate and display pathways in a way that can integrate disparate sources of information. A visual Java-based CAD tool for drawing and annotating biological pathways with semiautomatic image-processing features is described in this paper. The result of the image-editing process is an XML file for the appropriate links. This tool integrates the pathway images and XML file sources. The system has facilities for linking graphical objects to external databases and is capable of reproducing existing visual representations of pathway maps.

• BMB Reports
• /
• v.37 no.1
• /
• pp.35-44
• /
• 2004

Recently produced information on post-translational modifications makes it possible to interpret their biological regulation with new insights. Various protein modifications finely tune the cellular functions of each protein. Understanding the relationship between post-translational modifications and functional changes ("post-translatomics") is another enormous project, not unlike the human genome project. Proteomics, combined with separation technology and mass spectrometry, makes it possible to dissect and characterize the individual parts of post-translational modifications and provide a systemic analysis. Systemic analysis of post-translational modifications in various signaling pathways has been applied to illustrate the kinetics of modifications. Availability will advance new technologies that improve sensitivity and peptide coverage. The progress of "post-translatomics", novel analytical technologies that are rapidly emerging, offer a great potential for determining the details of the modification sites.

• Proceedings of the KOSOMBE Conference
• /
• v.1997 no.05
• /
• pp.430-433
• /
• 1997

We present the preliminary algorithms for automatic sleep scoring. According to the Rechtschaffen & Kales[3]'s critera, we developed six events detectors and eight parameters which contain the background information of signals, such as EEG, EMG, EOG. With the calculated parameters, we scored each epoch by IF-THEN rules, ANFIS for REM preiods, and finally Neural Network for unobvious epochs. The typical point of this algorithm is that the epoch which had good data sets were calculated in the first stage, and unobvious epochs were postponed until the final stage. After staging the good epochs, we classified unobvious epochs by the dominant stage of previous and posterior epochs.