• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.6
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• pp.102-110
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• 2023

PSC-I girder bridges constitute the largest proportion among highway bridges in Korea. According to the precision safety diagnosis data for the past 10 years, approximately 41.3% of the PSC-I bridges have been graded as C. Furthermore, with the increase in the aging of bridges, preemptive management is becoming more important. Damage and deterioration to the deck and girder with a long replacement cylce can have considerable impacts on the service and deterioration of a bridge. In addition, the high rate of device damages, including expansion joints and bearings, necessitates an investigation into the influence of the device damage in the structural members of the bridge. Therefore, this study defined representative PSC-I girder bridges with single and multiple spans to evaluate heterogeneous damages that incorporate the damage of the bridge member and device with the deterioration of the deck. The heterogeneous damages increased a crack area ratio compared to the individual single damage. For the single-span bridge, the occurrence of bearing damage leads to the spread of crack distribution in the girder, and in the case of multi-span bridges, expansion joint damage leads to the spread of crack distribution in the deck. The research underscores that bridge devices, when damaged, can cause subsequent secondary damage due to improper repair and replacement, which emphasizes the need for continuous observation and responsive action to the damages of the main devices.

• Applied Biological Chemistry
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• v.46 no.2
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• pp.140-143
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• 2003

This study was performed to develop a more rapid and simple nutrient diagnosis method of plants than the conventional leaf analysis method. tomato (Lycopersicon esculentum Mill. cv. super momotaro) was planted in the mixed media produced by mixing perlite and rock wool at 1 . 1 (v/v) ratio. The Yamazakki nutrient solutions for cucumber and tomato were supplied to the media using the micro-drip irrigation system. Experimental plots produced consisted of no fertilization, deficient fertilization, adequate fertilization and surplus fertilization for N, P and K, respectively. Each experimental plot was replicated four times. Specific color different sensor values (SCDSV) measured by the chlorophyll meter were closely related to total-N concentrations in the leaves measured by the conventional method. Nitrate, $PO_4$ and K concentrations in petiole sap measured by test strips #(Reflectoquant^{\circledR},\;Merck,\;Germany)$ showed a significant relationship with total-N, p and K concentrations in leaves. The linear regression equations between $NO_3,\;PO_4$ and K concentrations in petiole sap and total-N, p and K concentrations in the leaves were prepared. The optimum levels of $NO_3,\;PO_4$ and K in petiole sap were obtained by plugging the optimum concentrations of total-N, p and K in the leaves by other researchers into the equations. In conclusion, the SCDSV by the chlorophyll meter and concentrations of NO3, p and K in petiole sap measured by the test strips would be suitable for rapid estimation of plant nutrient status.

• KIISE Transactions on Computing Practices
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• v.22 no.10
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• pp.521-531
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• 2016

In this paper, since most business process of D-agency is being performed through some information systems, including Onnara System is a government standard operating management system, computerized accumulated in the system documentation based on, even if there is no independent job analysis system, in a judgment that can be can be tissue diagnosis, it presented a job analysis plan that leverages the existing information system. Most material is passed online in business processing between departments and between colleagues, it is returned. In situations where most information systems for such business processing is built developed, grasp the work procedures and information systems D-agency data accumulated to derive the necessary elements for job analysis quantified, and verified the validity of the element in the regression statistics.In addition, classification system (BRM, Business Reference Model) of the existing functionality that is available only Onnara System, and to establish a job analysis architecture to be able to function diagnostic departments to leverage common also in other information systems, related implement illustrating additional features of the information system, to derive a department duties value calculation formula with it, and present various job analysis plan that can actually be utilized to diagnose and derived elements department appropriate personnel.

• The Journal of Korean Orthopaedic Ultrasound Society
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• v.1 no.1
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• pp.1-5
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• 2008

Purpose: We studied the diagnostic value of dynamic US in the extensor tendon dislocation at the metacarpophalangeal joint. Materials and Methods: From January 2007 to October, we studied 6 cases that had been diagnosed and followed over 5 months (2-10) in average. US examination using a 10-MHz linear transducer were performed in three cases. The causes of dislocations were traumatic in 5 cases and congenital in one case. Results: In only 3 cases which could not be diagnosed clinically, we performed US. In dynamic US, all three cases showed the extensor tendon dislocation evidently. Operative findings were sagittal band rupture in 4 cases, capsular loosening in one case and sagittal band thinning in one case. Sagittal band repair was performed in 4 cases and capsular augmentation in one case. In case of congenital dislocation showing 4 digital extensor tendon dislocations in right hand, we operated only the second extensor by sagittal band repair with augmentation by looping. At last follow-up, no case showed recurrence or limitation of motion. Conclusion: In case of extensor tendon dislocation without apparent clinical finding, US with dynamic study has so great value that it can detect the dislocation in real time, which is superior to MRI.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.75-84
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• 2018

Increasing the operation rate of components and stabilizing the operation through timely management of the core parts are crucial for improving the efficiency of the railroad maintenance industry. The demand for diagnosis technology to assess the condition of rolling stock components, which employs history management and automated big data analysis, has increased to satisfy both aspects of increasing reliability and reducing the maintenance cost of the core components to cope with the trend of rapid maintenance. This study developed a big data platform-based system to manage the rolling stock component condition to acquire, process, and analyze the big data generated at onboard and wayside devices of railroad cars in real time. The system can monitor the conditions of the railroad car component and system resources in real time. The study also proposed a machine learning technique that enabled the distributed and parallel processing of the acquired big data and automatic component fault diagnosis. The test, which used the virtual instance generation system of the Amazon Web Service, proved that the algorithm applying the distributed and parallel technology decreased the runtime and confirmed the fault diagnosis model utilizing the random forest machine learning for predicting the condition of the bearing and wheel parts with 83% accuracy.

• Journal of Oral Medicine and Pain
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• v.37 no.1
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• pp.19-25
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• 2012

Personality characteristics of recurrent aphthous ulcer patients was analyzed psychologically by means of the SCL-90-R. The patients, 20 recurrent aphthous ulcer(RAU) patients, 33 oral lichen planus patients who visited Department of Oral Medicine, in Pusan National University Dental Hospital from 2010 to 2011. 59 control were collected from students of School of Dentistry, in Pusan National University. The obtained results were as follows. 1. Mean values of T-scores on 9 basic scales in RAU patients group, oral lichen planus patients group and control group were within normal range. 2. The T-score of SOM in RAU patients group were significantly higher than that in the control group. 3. The T-score of SOM, DEP, HOS in RAU female patients group were remarkably higher than that in the female control group. 4. The T-score of HOS in RAU patients group were significantly higher than that in the oral lichen planus patients group.

• Korean Journal of Plant Tissue Culture
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• v.25 no.6
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• pp.519-524
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• 1998

A simple and reliable method to diagnose cucumber green mottle mosaic virus of watermelon in Korea (CGMMV-WK) was determined by RT-PCR, and coat protein gene for CGMMV-WK was cloned. Comparing to a method reported by Lee et al. (1996), the method developed here showed a better RT-PCR reaction. RT-PCR was possible by one step in the PCR reaction mixture that contains 20 pmol of primer, reverse transcriptase (30 unit), RNasin (5 unit) using the crude RNA solution. RT-PCR condition for specifically diagnosing CGMMV-WK was that cDNA was synthesized at 42$^{\circ}C$ for 45 min followed by pre-denaturation at 95$^{\circ}C$ for 2 min, and then PCR reaction was carried out with a programmed condition that consisted of 36 sequential cycles at 96$^{\circ}C$ for 30 sec, 6$0^{\circ}C$ for 30 sec, and 72$^{\circ}C$ for 1 min. A gene encoding the coat protein of CGMMV-WK was cloned and characterized. Nucleotide sequence of coat protein gene of CGMMV-WK shared 98.77% and 99.38% of sequence identity with those of CGMMV-W and CGMMV-SH, respecitvely, however, all of amino acid sequences were same.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.291-295
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• 2007

강수진단모형을 이용하여 저수지 이수운영을 위한 실시간 유량예측기법을 개발하였다. 강수진단모형은 현재 기상청 현업에서 수행중인 강우수치예보를 기반으로 상세 지역의 지형 효과에 의한 강수를 예측하는 정량강수예측모형(QPM; Quantitative Precipitation Model)으로서 부경대학교 환경대기과학과에서 개발된 모형이다. QPM은 중규모 예측 모형으로부터 계산된 수평 바람, 고도, 기온, 강우 강도, 그리고 상대습도 등의 예측 자료를 이용하고, 소규모 상세지형 효과를 고려함으로써 중규모 예측 모형에서 생산된 강수량 예측 값을 상세 지역의 지형을 고려한 강수량 예측 값으로 재구성하여 결과적으로 3km 간격의 상세지역 강우산출과 지형에 따른 강수량의 분포 파악이 용이할 뿐만 아니라 계산 효율성을 개선된 모형이다. QPM 검증을 위하여 기상학적 평가와 수문학적 평가를 수행하였다. 호우 사례별 일강수량의 시공간 분포로 부터, QPM을 활용한 시스템에 의한 예측결과가 원시자료 RDAPS 보다 고해상도의 예측 및 지형효과의 반영도가 높았으며, AWS의 관측자료와 비교하여 보다 높은 예측성을 보여 주었다. 대상기간인 2006년 1월 1일부터 6월 20일까지 관측강우는 총 391.5mm 였으며 RQPM은 실적강우에 비하여 119.5mm 정도 과소산정하고 있으나 분위사상과정을 거치게 되면 351.7mm로서 실적강우에 불과 10.2% 못미치고 있다. 이는 고무적인 결과로 볼 수 있으며 현업에서의 활용성이 기대되는 수준이라 볼 수 있다. 강우-유출모의를 위한 QPM신뢰도를 높이기 위하여 분위사상법(Quantile Mapping)을 이용하여 QPM모의에 존재할 수 있는 계통오차에 대한 추가적인 보정을 수행하였다. 수문학적 평가를 위하여는 장기연속유출모형인 SSARR모형을 기반으로 개발된 RRFS(Rainfall-Runoff Forecast System)을 이용하여 2006년 1월${\sim}$9월까지의 용담댐 유입량에 대하여 모의예측결과와 관측유입량 비교를 통한 검증을 수행하였다. 위 기간중 예측유입량의 RMSE(Root Mean Squared Error), COE(Sutcliffe Coefficient of Efficiency), MAE(Mean Absolute Error), $R^2$값은 각각 7.50, 0.68, 2.59, 0.69 값을 보이고 있다. 본 연구에서는 QPM에 의한 예측성의 향상 및 구축된 시스템에 의한 일강수량의 장기예측 가능성을 확인하였고, 향후 시스템을 현업에 활용하기 위해서 생산된 예측자료의 보다 장기적인 검증을 통한 시스템의 안정화가 필요할 것으로 사료된다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.4
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• pp.1-9
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• 2011

Hemorrhagic shock is a clinically widespread syndrome characterized by inadequate oxygenation and supply. It is important to diagnose hemorrhagic shock in its early stage for improving treatment effects and survival rate. However, an accurate diagnosis and treatment could be delayed in the early stage of hemorrhagic shock by evaluating only vital signs such as heart rate and blood pressure. There have been many studies for the early diagnosis of hemorrhagic shock, reporting that lactate concentration and perfusion were useful variables for tissue hypoxia and metabolic acidosis. In this study, we measured both perfusion using a laser Doppler flowmeter and lactate concentration from the volume controlled hemorrhagic shock using rats. We also proposed a new shock index which was calculated by dividing lactate concentration by perfusion for early diagnosis. As a result of the survival prediction by the proposed index with the receiver operating characteristic curve method, the sensitivity, specificity, and accuracy of survival were 90.0, 96.7 and 94.0%, respectively. The proposed index showed the fastest significant difference among the other parameters such as blood pressure and heart rate. It could offer early diagnosis and effective treatment for human hemorrhagic shock if it is applicable to humans.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.81-81
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• 2013

반도체, LCD, MEMs 등 미세 전자소자의 제작과 깊은 관련이 있는 IT 산업은 자동차 산업과 함께 세계 경제를 이끌고 있는 핵심 산업이며, 그 발전 가능성이 크다고 할 수 있다. 이 중 반도체, LCD 공정 기술에 관해서 대한민국은 세계를 선도하여 시장을 이끌어 나가고 있는 실정이다. 이들의 공정기술은 주로 높은 수율(yield)을 기반으로 한 대량 생산 기술에 초점이 맞추어져 있기 때문에, 현재와 같은 첨예한 가격 경쟁력이 요구되는 시대에서 공정 기술 개발을 통해 수율을 최대한으로 이끌어 내는 것이 현재 반도체를 비롯한 미세소자 산업이 직면하고 있는 하나의 중대한 과제라 할 수 있다. 특히 반도체공정에 있어 발전을 거듭하여 현재 20 nm 수준의 선폭을 갖는 소자들의 양산이 계획 있는데 이와 같은 나노미터급 선폭을 갖는 소자 양산과 관련된 CD (critical dimension)의 감소는 공차의 감소를 유발시키고 있으며, 패널의 양산에 있어서 생산 효율 증가를 위한 기판 크기의 대형화가 이루어지고 있다. 또한, 소자의 집적도를 높이기 위하여 높은 종횡비(aspect ratio)를 요구하는 공정이 일반화됨에 따라 단일 웨이퍼 내에서의 공정의 균일도(With in wafer uniformity, WIWU) 및 공정이 진행되는 시간에 따른 균일도(Wafer to wafer uniformity)의 변화 양상에 대한 파악을 통한 공정 진단에 대한 요구가 급증하고 있는 현실이다. 반도체 및 LCD 공정에 있어서 공정 균일도의 감시 및 향상을 위하여 박막, 증착, 식각의 주요 공정에 널리 사용되고 있는 플라즈마의 균일도(uniformity)를 파악하고 실시간으로 감시하는 것이 반드시 필요하며, 플라즈마의 균일도를 파악한다는 것은 플라즈마의 기판 상의 공간적 분포(radial direction)를 확인하여 보는 것을 의미한다. 현재까지 플라즈마의 공간적 분포를 진단하는 대표적인 방법으로는 랭뮤어 탐침(Langmuir Probe), 레이저 유도 형광법(Laser Induced Fluorescence, LIF) 그리고 광섬유를 이용한 발광분광법(Optical Emission Spectroscopy, OES)등이 있으나 랭뮤어 탐침은 플라즈마 본연의 상태에서 섭동(pertubation) 현상에 의한 교란, 이온에너지 측정의 한계로 인하여 공정의 실시간 감시에 적합하지 않으며, 레이저 유도 형광법은 측정 물질의 제한성 때문에 플라즈마 내부에 존재하는 다양한 종의 거동을 살필 수 없다는 단점 및 장치의 설치와 정렬(alignment)이 상대적으로 어려워 산업 현장에서 사용하기에 한계가 있다. 본 연구에서는 최소 50 cm에서 최대 400 cm까지 플라즈마 내 측정 거리에서 최대 20 mm 공간 분해가 가능한 광 수광 시스템 및 플라즈마 공정에서의 라디칼의 상태 변화를 분광학적 비접촉 방법으로 계측할 수 있는 발광 분광 분석기를 접목하여 플라즈마 챔버 내의 라디칼 공간 분포를 계측할 수 있는 진단 센서를 고안하고 이를 실 공정에 적용하여 보았다. 플라즈마 증착 및 식각 공정에서 형성된 박막의 두께 및 식각률과 공간 분해발광 분석법을 통하여 계측된 결과와의 매우 높은 상관관계를 확인하였다.