• 제목/요약/키워드: Potential energy curve

검색결과 102건 처리시간 0.016초

멀티 모달리티 데이터 활용을 통한 골다공증 단계 다중 분류 시스템 개발: 합성곱 신경망 기반의 딥러닝 적용 (Multi-classification of Osteoporosis Grading Stages Using Abdominal Computed Tomography with Clinical Variables : Application of Deep Learning with a Convolutional Neural Network)

  • 하태준;김희상;강성욱;이두희;김우진;문기원;최현수;김정현;김윤;박소현;박상원
    • 한국방사선학회논문지
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    • 제18권3호
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    • pp.187-201
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    • 2024
  • 골다공증은 전 세계적으로 주요한 건강 문제임에도 불구하고, 골절 발생 전까지 쉽게 발견되지 않는 단점을 가지고 있습니다. 본 연구에서는 골다공증 조기 발견 능력 향상을 위해, 복부 컴퓨터 단층 촬영(Computed Tomography, CT) 영상을 활용하여 정상-골감소증-골다공증으로 구분되는 골다공증 단계를 체계적으로 분류할 수 있는 딥러닝(Deep learning, DL) 시스템을 개발하였습니다. 총 3,012개의 조영제 향상 복부 CT 영상과 개별 환자의 이중 에너지 X선 흡수 계측법(Dual-Energy X-ray Absorptiometry, DXA)으로 얻은 T-점수를 활용하여 딥러닝 모델 개발을 수행하였습니다. 모든 딥러닝 모델은 비정형 이미지 데이터, 정형 인구 통계 정보 및 비정형 영상 데이터와 정형 데이터를 동시에 활용하는 다중 모달 방법에 각각 모델 구현을 실현하였으며, 모든 환자들은 T-점수를 통해 정상, 골감소증 및 골다공증 그룹으로 분류되었습니다. 가장 높은 정확도를 갖는 모델 우수성은 비정형-정형 결합 데이터 모델이 가장 우수하였으며, 수신자 조작 특성 곡선 아래 면적이 0.94와 정확도가 0.80를 제시하였습니다. 구현된 딥러닝 모델은 그라디언트 가중치 클래스 활성화 매핑(Gradient-weighted Class Activation Mapping, Grad-CAM)을 통해 해석되어 이미지 내에서 임상적으로 관련된 특징을 강조했고, 대퇴 경부가 골다공증을 통해 골절 발생이 높은 위험 부위임을 밝혔습니다. 이 연구는 DL이 임상 데이터에서 골다공증 단계를 정확하게 식별할 수 있음을 보여주며, 조기에 골다공증을 탐지하고 적절한 치료로 골절 위험을 줄일 수 있는 복부 컴퓨터 단층 촬영 영상의 잠재력을 제시할 수 있습니다.

한국공업화과정(韓國工業化過程)에서의 광물자원(鑛物資源)의 수급구조변화(需給構造變化)와 경제성장(經濟成長)에 있어서의 역할(役割) (The Changing Patterns of Demand-Supply and Role of Mineral Resources in Economic Growth during Industrialization of the Republic of Korea)

  • 윤석규
    • 자원환경지질
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    • 제18권1호
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    • pp.65-92
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    • 1985
  • A total of 12 mineral commodities significant in domestic output, economy and/or strategy of the Republic of Korea are chosen to examine the structural changes in production and demand-supply of these minerals during the last two decades of her industrialization. These include iron and manganese ores as the raw materials for iron and steel making, copper, zinc and tungsten ores among other non-ferrous metallic minerals, limestone (cement), kaolin, talc, pyrophyllite and graphite among other non-metallic minerals, and anthracite coal as the only domestic source of fossil energy. These are reviewed historically in time-series based on the statistical data which are tabulated and graphed in terms of domestic output, export, import, apparent demand-supply, its increasing rate, and self-sufficiency rate of each commodity. The increasing rates of demand-supply (IRDS) of some more important commodities are compared with those of Gross Domestic Production (GDP) and Economic Growth Rate (EGR) to evaluate how the IRDS contributed to the GDP and EGR. The major results revealed are as follows: Among the 12 commodities, the domestic output of 8 commodities appeared to have grown with steady upward trends: they are ores of lead, zinc and tungsten, limestone (cement), kaolin, talc, pyrophyllite and anthracite coal. Two commodities, ores of iron and copper, continued with unchanging or slightly declining trends and varied fluctuations, in spite of their cardinal importance to the heavy industry and strategy of Korea. The remaining two, graphite and manganese ore, have gradualy declined in domestic output in which the former has still enough resource potential but the latter has not and virtually ceased its domestic output. Trade patterns for mineral commodities in the Republic of Korea during the last two decades have changed greatly, being marked by a shift from mineral-exporting to mineral importing, mainly because of increasing consumption of mineral raw materials for industrialization rather than beceuse of decreasing output of domestic mineral commodities in quantity. In terms of trade patterns, the 12 commodities concerned in this study can be classified into the following four groups. The 1st group - ores of lead and tungsten have only been exported without imports. The 2nd group - amorphous graphite, and pyrophyllite have mainly been exported but partly been imported. The 3rd group - kaolin, talc and crystalline graphite have equally been exported and imported, but quantity of imports have rapidly been increased with time. The 4th group - ores of iron, manganese and zinc have shifted from exports to imports during the industrialization, particularly owing to the initiation of iron and steel making by the Pohang Iron and Steel Company in the middle 1970' s and the new establishment of the Onsan Zinc Refinery in the late 1970' s. All of the 12 commodities under considerations were far above 100% in self-sufficiency rate before or in the early 1960' s. Recently, however, most of them have been declined to below 100% except for those of limestone (cement) and pyrophyllite. It is particularly serious to identify that the self-sufficiency rates of the three important metallic minerals, iron, copper and manganese ores in 1982 appeared to be 5.1%, 0.5%, and 0.01%, respectively. The average self-sufficiency rate of the total domestic minerals produced in 1982 was 14.4% (in value) for that year. Mining industry appeared to be extremely high in its intermediate demand rate whereas its intermediate input rate to be quite low indicating that mineral raw materials have been exerted strong forward linkage effects upon the other industries rather than backward linkage effects. In comparing the curves of increasing rates of demand-supply of several major minerals - iron ore, manganese ore, copper ore, limestone (cement), kaolin, and anthracite coal - with those of Gross Domestic Production and Economic Growth Rate drawn on every graph, it is clearly shown that the curves of increasing rates of demand-supply comprise around 6 to 7 periods of cycles which roughly harmonious with those of the curves of GDP and EGR, except for the curve of anthracite coal of which the configuration seems to have resulted from the (artificial) government's mineral policy rather than from economic free market mechanism. The harmonic feature of these curves well suggests that the increasing rates of demand-supply of major minerals have been significantly contributed to the GDP and EGR. In addition, the wider amplitudes of the iron, manganese and copper curves than those of the limestone (cement) and kaolin curves indicate that the contribution of the former, metallic commodities, has been greater than that of the latter, non-metallic commodities.

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