• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.19-20
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• 2008

• The Hankook-Saengyark Bo
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• no.262
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• pp.6-6
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• 2005

한양재서 당뇨 합병증 억제물질 발견(한국한의학연구원과 조선의대 공동연구팀) - 감귤, 비만$\cdot$콜레스테롤 억제효과 탁월(연구소, 기능성물질 추출 상품화 계획) - 중국, 알약으로 만든 차 선보여

• Journal of the Korean Chemical Society
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• v.52 no.6
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• pp.622-629
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• 2008

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.9
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• pp.810-815
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• 2005

As the pharmaceutical industry grows and becomes more competitive, the need of automation increases to establish effective mass production and to maintain consistent quality control. Accurate counting and packing of medicinal pills is one of the most essential processes that the automation can benefit. In conventional automated counting and packing processes, the performance of counting process varies with the size, the shape and the dispersion degree of pills. In this research, the authors developed a new pill-counting algorithm based on carefully analyzed characteristics of the pill-drop behavior. Also a new scheme for the packing of an exact number of pills has been implemented. A pill counting and packing machine with the new pill-counting algorithm and the new packing scheme has been constructed and put in an actual production line. To achieve precise and quick sensing of pills dropping at a high speed from the preceding processors, the machine uses non-contact photo sensors. Experimental results from the actual process using the machine are included to verify the effectiveness of the proposed algorithm and the machine.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.889-892
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• 2020

현재 식품의약품안전처에서 공공데이터 포털에 제공하는 정보에 의하면 국내에는 20,000종 이상의 약이 유통되고 있다. 식약처와 여러 제약회사에서 기본적인 약 정보를 제공하고는 있지만 정확한 처방전이나 설명서가 없는 경우에 무분별한 약 복용의 위험성을 안고 있다. 일부 약 검색을 지원하는 사이트가 있으나 세부 사항을 사용자가 일일이 선택하고 입력해야 정확한 정보를 얻을 수 있다. 본 논문에서는 사용자의 스마트폰을 이용하여 알약을 촬영하면 해당 약을 인식하고 상세 정보를 알려주는 딥러닝 모델을 설계하였다. CNN 신경망을 사용하여 약의 모양, 색상, 마크, 분할선 등을 기준으로 분류하고 인식된 약의 세부 정보는 공공데이터로부터 받아온다.

• Journal of Life Science
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• v.17 no.3 s.83
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• pp.305-311
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• 2007

Glucocorticoids (GCs) alter metabolism, synaptogenesis, apoptosis, neurogenesis, and dendritic morphology in the hippocampus. To better understand how glucocorticoids regulate these aspects of hippocampal biology, we studied gene expression patterns in the CA3 (Hippocampal pyramidal cell field CA3) and dentate gyrus (DG). Litter-matched Lewis inbred rats treated for 20 days with either 9.5 mg per day sustained-release corticosterone or placebo pellets were compared with high-density oligonucleotide microarray analysis (Rat Neurobiology U34 Arrays, Affymetrix). In placebo-treated rats, 32 genes were expressed at greater levels in CA3 than DG, whereas 3 genes were expressed at great levels in DC than CA3. Regional differences were also apparent in corticosterone-induced changes in the hippocampal transcriptome. Six genes in CA3 and 41 genes in DC were differentially regulated by corticosterone. As per the glucocorticoid effects on gene transcription in the brain, forty three of these genes were upregulated, and 4 genes were downregulated. Genes differentially expressed in hippocampus included those for 13 neurotransmitter proteins, 5 ion channel related proteins, 4 transcription factors, 3 neurotrophic factors, 1 cytokine, 1 apoptosis related protein, and 5 genes involved in synaptogenesis. Interestingly, GCs can have suppressive effects on brain BDNF mRNA transcription, one of the neurotrophic factors. These results indicate the diversity of targets affected by chronic exposure to corticosterone and highlight important regional differences in hippocampal neurobiology.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 1997.11a
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• pp.14-14
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• 1997

추진제의 노화 못지 않게 점화제의 노화도 추진 기관 성능에 큰 영향을 미칠 것으로 예측된다. 따라서 10년 이상 경과된 활성 모터에서 점화기를 분해하여 노화에 의한 점화제의 성능 변화를 알아보았다. 분석에 사용한 점화제는 II-D Bi-Convex형상의 B-KNO$_3$ 펠렛으로 열량, 자동 점화온도, 기계적 물성의 변화를 관찰하였고, 밀폐 용기(Closed bomb)에서 연소시험을 통하여 노화에 따른 점화알약의 압력변화를 측정하고 이론 값과 비교하였다. 또한 비활성 모타를 이용한 연소시험으로 점화기의 점화지연시간, 최대 압력, 최대 압력 도달시간 등을 측정하고 이론식과 비교하여 노화에 의한 변화를 관찰하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.893-896
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• 2020

예전보다 약과의 접촉이 많아지고 쉬워지면서 집안에 방치되거나 복용을 잊어버린 약들이 더 많아졌다. 이런 약들을 다시 먹으려 할 때는 특별한 주의가 필요하다. 특히나 임산부, 어린이등 취약 계층은 더욱 주의가 필요하다. 이들 모두가 간단하게 이용할 수 있게 사진을 찍으면 약의 이름과 효능, 부작용, 복용방법 등에 대한 정보를 알 수 있는 어플리케이션을 개발했다.

• Investigative Magnetic Resonance Imaging
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• v.17 no.1
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• pp.59-62
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• 2013

There are various types of foreign body reactions, such as inflammation, edema, fluid collection, hematoma, infection, abscess and granulomas. There are various imaging findings according to types of foreign bodies and depending on the lapse of time. Therefore, correct diagnosis of a foreign body reaction is difficult and easily confused with soft tissue neoplasm. The MRI is ideal for the detection of foreign bodies regardless of radiolucency or acoustic impedance. It is especially very useful in the evaluation of the surrounding tissue reaction. The authors report a case of a 26-year-old female patient with both forearm swelling due to self-injection of a mixture of powdered tablets and saline. The lesion shows numerous internal T1 and T2 dark signal intensity micro-spots with surrounding fluid collection, which are diagnosed as foreign bodies with surrounding inflammatory changes during an operation.

• Journal of Korea Multimedia Society
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• v.21 no.6
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• pp.659-666
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• 2018

The classification of the tablets recovered according to prescription changes is usually carried out manually by a number of pharmacists at the hospitals. Relatively high-wage pharmacists carry out the reclassification of the tablets, which results in a large loss of time and labor, and if the tablets are incorrectly classified, this can lead to medical accidents. In order to overcome these problems, a new automatic tablet classifying machine has been introduced. In the conventional automatic tablet classifying machine, tablets having various shapes, sizes, and colors are transferred to a classifying machine through the line feeder. Problems such as breakaway of the tablets from the line feeder, pilling of the tablets in the line feeder, and appearance contamination of the tablets occur. In this paper, we propose a system that automatically classifies the shape, size, and color of tablets through individual supply method by vacuum adsorption and image processing.