• Journal of Information Technology Services
• /
• v.10 no.1
• /
• pp.177-190
• /
• 2011

Due to the growth of economy and the advancement of IT, the life expectancy has been prolonged and the interests in health have greatly increased. Recently the request for systems that enable measuring the bio-signals of patients in the non medical organizations, such as home, and transmitting them to medical staffs at remote sites for monitoring them. In this paper, we present an agent-based u-health system for patients or suspects with heart diseases. Our system consists of portable devices for measuring bio-signals and agents that perform data collection, data storage, automatic detection of abnormal status in patients, and HL7-based data exchange in a cooperative way. The main features of the system are : the agent-based architecture facilitates the addition of new service modules as well as the modification of existing ones; an intelligent agent is provided which automatically detects situations in which the bio-signals of patients are abnormal; the medical data standard is supported so that the communication with other systems is very easy. To our survey, there have been few previous systems which support all those features in a seamless way.

• Journal of the Korean Society of Tobacco Science
• /
• v.17 no.1
• /
• pp.5-14
• /
• 1995

Efficient algorithms for the automatic classification of flue-cured tovacco ripeness and grading have been developed The ripeness of the tobacco was classified into 4 levels vased on the color. The lab-built simple RGB color measuring system was utilized for detecting the light reflectance of the tobacco leaves. The measured data were used far training the artificial neural network The performance of the trained network was also tested far the untrained samples. The spectrophotometer was used to detect the light reflectance and absorption of the graded tobacco leaves in the frequency ranges of the visible light The measured data and the statistical analysis was performed to investigate the light characteristics of the graded samples. The measured data were obtained from samples of 5 different grades directly without considering the leaf positions. Those data were used far training the artificial neural network The performance of the trained network was also tested far the untrained samples. The neural network based sensor information processing showed successful results for grading of tobacco leaves.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.6
• /
• pp.1427-1437
• /
• 2018

While biometric authentication system has been in general use, research is ongoing to apply biometric data to public key infrastructure. It is a significant task to generate a cryptographic key from biometrics in setting up a public key of Bio-PKI. Methods for generating the key by quantization of feature vector can cause data loss and degrade the performance of key extraction. In this paper, we suggest a new method for generating a cryptographic key from classification results of biometric data using multiple classifying models. Our proposal does not cause data loss of feature vector so it showed better performance in key extraction. Also, it uses the multiple models to generate key blocks which produce sufficient length of the key.

• Proceedings of the Korean Society for Bio-Environment Control Conference
• /
• 2005.05a
• /
• pp.131-135
• /
• 2005

• Bio news
• /
• no.2
• /
• pp.37-37
• /
• 2003

Documentation이라면 문서화 또는 문서관리라고 번역하고 있는데 문서를 작성하고 보관하고 필요할 때 추적, 검색할 수 있도록 하는 일체의 행위를 말한다. ISO에서는 document and data control 이라는 항을 두고 있지만 EU 및 WHO GMP에서는 Documentation이라는 좀 더 포괄적인 의미의 용어로 한 항목을 설정하고 있다. 물론 current GMP에서도 여러 가지 문서에 관하여 언급하고 있지만 따로 항목을 두지는 않

• Proceedings of the Korean Society for Bio-Environment Control Conference
• /
• 2003.10a
• /
• pp.192-195
• /
• 2003

• Bioinformatics and Biosystems
• /
• v.1 no.2
• /
• pp.89-94
• /
• 2006

Mass spectrometry (MS) is widely applied for high throughput proteomics analysis. When large-scale proteome analysis experiments are performed, it generates massive amount of data. To search these proteomics data against protein databases, fully automated database search algorithms, such as Mascot and SEQUEST are routinely employed. At present, it is critical to reduce false positives and false negatives during such analysis. In this review we have focused on aspects of automated protein identification using tandem mass spectrometry (MS/MS) spectra and validation of the protein identifications of two most common automated protein identification algorithms Mascot and SEQUEST.

• Genomics & Informatics
• /
• v.5 no.4
• /
• pp.196-199
• /
• 2007

BOD is an FTP service management tool on the Internet. It was developed for biological researchers in South Korea. It enables easier and faster access of bioinformation without having to go through foreign FTP sites. BOD includes an automatic downloader with a management and email alert service from which the user can easily select and schedule any biological database. Once listed in BOD, the user can check and modify the download status and data from an additional email alert service.

• Toxicological Research
• /
• v.23 no.2
• /
• pp.173-177
• /
• 2007

The GLP contains specific language concerning characterization of the test, control and reference substances used in toxicity studies. This paper will describe and discuss what types of documents are required to support test/reference substance characterization under GLP system. The purpose of this article is to present an overview of data needed in the characterization package that will adequately define the substance. Most sponsors use a certificate of analysis (COA) to communicate the test sub-stance characterization status information to the contracting research organizations. The COA should provide the test $material^{\circ}{\phi}s$ characterization results, substance storage requirements, expiration dates, verification of the collection of the retention sample, archival location of the data to support the characterization and GLP compliance status of the characterization.

• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 2000.11b
• /
• pp.344-353
• /
• 2000

Recent mechatronics technology is the most appropriate high technology in the agricultural application to save repetitious labor. Cow's body parameters were measured by traditional several measurer. Image processing technology was used to measure automatically their parameters to reduce lots of labor and time. The parameters were measured form a small model cow, which is easily measured, instead to a real cow. The image processing system designed and built for this project was composed of a Pentium PC, and TV frame card two cameras which were located on side and top of model cow. 11 parameters of cow's body were measured and the error between real data and the data by image processing was less than 10%. Based on the results of this research the parameters of a real cow could be measured in the future.