• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2002.11a
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• pp.358-374
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• 2002

최근 빈번하게 발생하고 있는 사우나 등의 열을 방사하는 도크내에서 발생하는 화재사고는 다중이용업소를 이용하는 불특정한 사람들의 생명을 위협하고 있는 수준에 도달하고 있다. 특히 이런 시설의 화재는 화재발생 후에 소방대에 의한 진압에만 치중하고 있어 향후 계속하여 화재가 발생할 우려가 큼에도 불구하고 착화원인을 규명하는데 소홀히 하고있다. 특히 현장감식에 의한 육안조사만을 실시하여 화재원인을 추정하거나 설정하는 경우가 대부분이라 근본적인 대책을 세우지 못하고 있다. 따라서 본 연구에서는 육안조사 등에 의하여 설정한 착화원인을 과학적인 분석법 즉, EU국가에서 널리 사용하는 CFD(컴퓨터수치해석)시뮬레이션 S/W를 사용하여 연소모델링에 의한 검증조사기법을 적용하여 원인을 검증하는데 사용하여 국내화재조사기술의 과학화를 시도하였다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.3
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• pp.97-107
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• 2013

Culverts are structures constructed across river levees. Since river levees are to be constructed continuously, constructions of culvert are known to reduce the stability of river levees. In order to establish an effective inspection system of culverts, a visual inspection system using checklists and smart phone was recommended in this paper. It was determined that the recommended visual inspection checklist is applicable in establishing the investment priority based on the culvert's repair plan establishment, repair and precision safety inspection.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1507-1508
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• 2015

콘크리트 배전전주는 시간의 경과에 따라 열화현상이 발생되며 교체가 필요하다. 이에 따라 외관 육안조사를 통하여 건전성이 저하된 전주는 매년 교체되고 있다. 외관 육안조사는 Health Index 지표에 의해 이루어지며 건전성과 상관관계가 있다. 본 논문에서는 현장에서 수거된 전주 시험체를 이용하여 정밀시험을 위하여 시험장치를 개발하고 휨 파괴시험에 따른 결과와 Health Index 지표에 의한 결과를 비교하여 콘크리트 전주의 건전성을 평가하였다.

• The Journal of Engineering Geology
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• v.21 no.1
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• pp.1-13
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• 2011

Joint roughness is one of the most important parameters in analysis of rock slope stability. Especially in probabilistic analysis, the random properties of joint roughness influence the probability of slope failure. Therefore, a large dataset on joint roughness is required for the probabilistic analysis but the traditional direct measurement of roughness in the field has some limitations. Terrestrial LiDAR has advantagess over traditional direct measurement in terms of cost and time. JRC (Joint Roughness Coefficient) was calculated from statistical parameters which are known from quantitative methods of converting the roughness of the material surface into JRC. The mean, standard deviation and distribution function of JRC were obtained, and we found that LiDAR is useful in obtaining large dataset for random variables.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.5
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• pp.31-38
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• 2009

The primary objective of this study was to estimate the deterioration degree of jointed concrete pavement which was major concrete pavement type in Korea. First of all, visual survey of concrete pavement was performed to observe deterioration types. In the result of visual survey, the majority of concrete pavement deterioration was investigated in joint area. It is appeared that most of the distresses are durability cracking and joint distress. Second, concrete core specimens were taken from eight locations including good section (4 locations) and bad section (4 locations) based on visual survey. The deterioration reasons of concrete pavement were analyzed with ultrasonic pulse velocity test, splitting tensile strength test, and image analysis for concrete core specimens. Among the image analysis test result for 21 concrete core specimens, only two specimens satisfied the Kansas DOT criteria of spacing factor, $250\;{\mu}m$, and the remains of 19 specimens were estimated to be above $250\;{\mu}m$. The durability factor of concrete was estimated very low. As a result, it was analyzed that the main deterioration reason of the deteriorated jointed concrete pavement was to be freezing and thawing damages.

• Journal of Korean Institute of Fire Investigation
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• v.4 no.1
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• pp.70-74
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• 2004

• Journal of Korean Institute of Fire Investigation
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• v.4 no.1
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• pp.28-41
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• 2004

• Korean journal of applied entomology
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• v.51 no.3
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• pp.235-243
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• 2012

Population dynamics of the American serpentine leafminer, Liriomyza trifolii (Burgess), were observed and modeled in order to compare the effects of air and tomato leaf temperatures inside a greenhouse using DYMEX model builder and simulator (pre-programed module based simulation programs developed by CSIRO, Australia). The DYMEX model simulator consisted of a series of modules with the parameters of temperature dependent development and oviposition models of L. trifolii were incorporated from pre-published data. Leaf surface temperatures of cherry tomato leaves (cv. 'Koko') were monitored according to three tomato plant positions (top, > 1.8 m above the ground level; middle, 0.9 - 1.2 m; bottom, 0.3 - 0.5 m) using an infrared temperature gun. Air temperature was monitored at the same three positions using a self-contained temperature logger. Data sets for the observed air temperature and average leaf surface temperatures were collected (top and bottom surfaces), and incorporated into the DYMEX simulator in order to compare the effects of air and leaf surface temperature on the population dynamics of L. trifolii. The initial population consisted of 50 eggs, which were laid by five female L. trifolii in early June. The number of L. trifolii larvae was counted by visual inspection of the tomato plants in order to verify the performance of DYMEX simulation. The egg, pupa, and adult stage of L. trifolii could not be counted due to its infeasible of visual inspection. A significant positive correlation between the observed and the predicted numbers of larvae was found when the leaf surface temperatures were incorporated into the DYMEX simulation (r = 0.97, p < 0.01), but no significant positive correlation was observed with air temperatures(r = 0.40, p = 0.18). This study demonstrated that the population dynamics of L. trifolii was affected greatly by the leaf temperatures, though to little discernible degree by the air temperatures, and thus the leaf surface temperature should be for a consideration in the management of L. trifolii within cherry tomato greenhouses.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.267-275
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• 2021

Skin condition is an important concern in beauty aspect. This study considered a rough skin condition analysis method that beauty industry workers can do through visual observation or skin condition images taken with smartphones. First, studies that combine subjective and objective evaluations were selected among degree papers and academic papers searched by keywords related to 'skin condition' in the Research Information Sharing Service(RISS). Among them, papers that derive correlations with visually verifiable factors were selected. Next, the relationship between factors that match subjective skin condition and objective skin measurement results and factors that can be visually identified on the skin surface was investigated. According to the study, the most suitable factor for matching subjective and objective evaluations was 'oil volume', which is significantly related to 'pore', 'skin texture' and 'erythema', which can be visually checked on the skin surface. It is believed that a rough skin condition analysis will be possible using this.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.1
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• pp.49-59
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• 2019

In this study, the durability of conical pick cutter was compared and analyzed by pre- and post-test visual inspection, measurement of weight loss and wear volume through field test on two types of conical pick cutters applied to rotary drum cutter. In the visual inspection, it was found that only 9 inserts were lost in the slim type conical pick cutter. This result show that the thickness of the head cover surrounding a insert was important to maintain the insert during excavation. The weight loss and wear volume of the heavy type conical pick cutter were less than half that of the slim type. From these results, it can be confirmed that heavy type is more useful than slim type in hard rock. It should be noted that, when determining the wear loss of the conical pick cutter, the mutual comparison of the weight measurement and the wear volume measurement results may be different due to the unit weight of the material and the spalling caused by excavation.