• Journal of the Korea Safety Management & Science
• /
• v.15 no.4
• /
• pp.179-184
• /
• 2013

An accident from machine work is often fatal to the worker. This accident is mostly preventable through perfect process jig. In case of this machine work, however, the disaster frequently occurred because of the design which is not considered the beginning of product design, post-process and mass process of production. As for sand casting method, this has the merits of the production; the product is easily produced by manual labor. On the other hand, this method has the demerits of a bigger dimensional error contrary to other mass process of production. When the sand casting product is in machine work, there are various problems such as unsafe fix and excessive cutting, product desorption and rapid life depreciation of equipment and tools. Considering the characteristics of sand casting method, it is accepted as difficulty to improve the problems. In this study, it suggests shell mold method for mold instead of the machine work after the sand casting of the circle shape container product. And the surface accomplishes the following average of surface roughness Ra$9.94{\mu}m$ of machine work with the casting of flask mold by shell mold method. In accordance with the simplification of processing process and reducing the average thickness variation by mass production of product with detailed appearance, it has a good influence on safety accident prevention caused by production and damaged product. It is confirmed that making higher degree of size precision of all machine work product is possible to increase the safety and productivity, reduce the processing process and improve environment.

• Journal of Korean Academy of Nursing
• /
• v.6 no.2
• /
• pp.32-38
• /
• 1976

The advanced knowledge is increasing day by day due to the progress of medicine and tectonics, the increase of nursing research nowadays. In parallel with these, nursing profession has a need of the nursing care with improvement of new Knowledge, tectonics and nursing procedure through the insertive education. Therefore, this study was attempted to investigate that to grasp learning need of nurses about inservice educational play a pivotal role in the progress of inservice education. This study was made from 242 clinical nurse at 4 hospitals in Seoul and through question- are consisting of 1) ideological part 2) basic sciences 3) nursing part 4) administrative part 5) the others from 10 July '75 to 7 Oct. '75. The data were treated by percentage, Licker method, arid chi- square examination. Significant difference p is 0.05. The results of this studies are as follows : A. learning needs of nurses 1) Generally the learning needs of nurses is very high. 2) Of the learning need of inservice education for nurses, the highest learning need is as follow (Table 2 ) 1 st : Charting 2 nd : The ability of grasping patient's needs and problems. 3 rd ; The contents and the methods of the advanced nursing skill. 4 th ; The importance of team work 5 th ; The general knowledge of the various disease 6 th : The decision of a propriety nursing diagnosis under the general condition. 7 th ; The introduction of the new nursing theory. 8 th : The Nurses role and the responsibility in emergency and disaster. 9 th : The improvement of nursing skill for the perfect interpersonal relationship. l0th ; Cultural education: B . Verification of hypothesis 1. Hypothesis I , learning needs of nurses and educational level of nurse will be correlated, is rejected (Table 3 ) 2. Hypothesis II, learning need of nurses and duties of post will be correlated, is rejected (Table 4) 3. Hypothesis III, learning need of nurse and clinical experience of nurses will be correlated, is rejected (Table 5).

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.36 no.2
• /
• pp.219-229
• /
• 2016

This study presents the analysis of flood and bed deformation caused by reservoir failure. The CCHE1D is used to simulate 1D non-uniform, non-equilibrium sediment transport and bed deformation. The CCHE1D deals with the adaptation length for non-equilibrium sediment, classified sediment particle for non-uniform sediment and mixing layer for the exchange with the sediment moving with the flow. The model is applied to Ha!Ha! river basin where was experienced reservoir failure in 1996 to analyze non-uniform and non-equilibrium sediment transport. The calculations are compared with morphological bed changes of pre- and post-flood. In addition, model sensitivity to main parameters involving adaptation length ($L_{s,b}$), non-equilibrium coefficient (${\alpha}_s$), mixing layer thickness (${\delta}_m$) and porosity (p') is analyzed. The results indicates that thalweg change is the most sensitive to non-equilibrium coefficient (${\alpha}_s$) among those parameters in the study area.

• Korean Journal of Remote Sensing
• /
• v.31 no.2
• /
• pp.183-191
• /
• 2015

If the damage analysis on river-side facilities such as dam, river bank structures and bridges caused by disasters such as typhoon, flood, etc. becomes available, it can be a great help for disaster recovery and decision-making. In this research, We tried to extract a Digital Surface Model (DSM) and analyze the accuracy from Unmanned Air Vehicle (UAV) images on river-side facilities. We tried to apply stereo image-based matching technique, then extracted match results were united with one mosaic DSM. The accuracy was verified compared with a DSM derived from LIDAR data. Overall accuracy was around 3m of absolute and root mean square error. As an analysis result, we confirmed that exterior orientation parameters exerted an influence to DSM accuracy. For more accurate DSM generation, accurate EO parameters are necessary and effective interpolation and post process technique needs to be developed. And the damage analysis simulation with DSM has to be performed in the future.

• Journal of Korean Society for Geospatial Information Science
• /
• v.24 no.2
• /
• pp.79-87
• /
• 2016

As 3D geospatial information is demanded, terrestrial laser scanners which can obtain 3D model of objects have been applied in various fields such as Building Information Modeling (BIM), structural analysis, and disaster management. To acquire precise data, performance evaluation of a terrestrial laser scanner must be conducted. While existing 3D surveying equipment like a total station has a standard method for performance evaluation, a terrestrial laser scanner evaluation technique for users is not established. This paper categorizes and analyzes error sources which generally occur in terrestrial laser scanning. In addition to the prior researches about categorizing error sources of terrestrial Laser scanning, this paper evaluates the error sources by the actual field tests for the smooth in-situ applications.The error factors in terrestrial laser scanning are categorized into interior error caused by mechanical errors in a terrestrial laser scanner and exterior errors affected by scanning geometry and target property. Each error sources were evaluated by simulation and actual experiments. The 3D coordinates of observed target can be distortedby the biases in distance and rotation measurement in scanning system. In particular, the exterior factors caused significant geometric errors in observed point cloud. The noise points can be generated by steep incidence angle, mixed-pixel and crosstalk. In using terrestrial laser scanner, elaborate scanning plan and proper post processing are required to obtain valid and accurate 3D spatial information.

• Journal of Conservation Science
• /
• v.30 no.3
• /
• pp.299-306
• /
• 2014

The possibility of a low-temperature argon plasma treatment as a mean of restoration technology for contaminated invaluable archive materials and artefacts, and evidencing documents was investigated along with an oxygen plasma treatment for comparison. For this purpose, the degree of color changes, ${\Delta}E^*ab$, and surface morphological changes due to plasma treatments as an evaluation of removal performance of artificial contaminants such as brilliant green dye and carbon deposit on cellulose acetate and plain paper as matrices, respectively, were measured and analyzed using a spectrophotometer and a field emission scanning electron microscope. Compared to the argon plasma treatment with sputtering characteristic, that of the oxygen plasma with characteristic of an oxidation reaction has shown superior results in removing the contaminants; the oxygen plasma has proven to damage the matrices significantly due to its oxidative characteristic, and post-plasma reactions has anticipated to be also detrimental to the surfaces, whereas, the problems caused by the counterpart has resulted in being negligible and rather has thought to be an appropriate mean for delicate restoration and/or removal operations of contaminants.

• Journal of the Korea Concrete Institute
• /
• v.15 no.3
• /
• pp.433-442
• /
• 2003

This paper presents a hypoplastic model for three-dimensional analysis of concrete structures under monotonic, cyclic, proportional and non-proportional loading. The constitutive model is based on the concept of equivalent uniaxial strains that allows the assumed orthotropic model to be described via three equivalent uniaxial stress-strain curves. The characteristics of these curves are obtained from the ultimate strength surface in the principal stress space based on the Willam-Warnke curve. A cap model is added to consider loading along or near the hydrostatic axis. The equivalent uniaxial curve is based on the Popovics and Saenz models. The post-peak behavior is adjusted to account for the effects of confinement and to describe the change in response from brittle to ductile as the lateral confinement increases. Correlation studies with available experimental tests are presented to demonstrate the model performance. Tests with monotonic loading on specimens under constant lateral confinement are considered first, followed by biaxial and triaxial tests with cyclic loads. The triaxial test example considers non-proportional loading.

• Spatial Information Research
• /
• v.18 no.2
• /
• pp.35-44
• /
• 2010

This research intended to estimate the damage information from torrential rainfalls using airphotos and spatial data which have been rapidly increasing their applicability recently. The study area was Bonghwagun of Gyungsangbukdo where the large amount of damages were occurred from torrential rainfall in July, 2008. For this study, the database was constructed for the study area by collecting usable data. The interpretable items from the airphotos of 40cm spatial resolution were selected. Also, the useful GIS layers such as road were selected in the digital map to extract the damage information more accurately and rapidly. The damaged area was easily identified through the comparison of pre- and post-disaster airphotos. The recovery cost was estimated by applying unit cost to the damaged area. GIS's overlay function was used to extract the damage information of for individual items damaged. The method for extracting damages information using GIS and airphotos could be more efficient and cost effective in case of relatively wide and unapproachable damaged areas. It is also expected that the method using high resolution imagery would lead to minimize the secondary damages as well since it can facilitate the damage estimation within short period of time thereby supporting early securing budget for recovery.

• The Plant Pathology Journal
• /
• v.31 no.4
• /
• pp.350-362
• /
• 2015

A disease forecast model for bacterial grain rot (BGR) of rice, which is caused by Burkholderia glumae, was developed in this study. The model, which was named 'BGRcast', determined daily conduciveness of weather conditions to epidemic development of BGR and forecasted risk of BGR development. All data that were used to develop and validate the BGRcast model were collected from field observations on disease incidence at Naju, Korea during 1998-2004 and 2010. In this study, we have proposed the environmental conduciveness as a measure of conduciveness of weather conditions for population growth of B. glumae and panicle infection in the field. The BGRcast calculated daily environmental conduciveness, $C_i$, based on daily minimum temperature and daily average relative humidity. With regard to the developmental stages of rice plants, the epidemic development of BGR was divided into three phases, i.e., lag, inoculum build-up and infection phases. Daily average of $C_i$ was calculated for the inoculum build-up phase ($C_{inf}$) and the infection phase ($C_{inc}$). The $C_{inc}$ and $C_{inf}$ were considered environmental conduciveness for the periods of inoculum build-up in association with rice plants and panicle infection during the heading stage, respectively. The BGRcast model was able to forecast actual occurrence of BGR at the probability of 71.4% and its false alarm ratio was 47.6%. With the thresholds of $C_{inc}=0.3$ and $C_{inf}=0.5$, the model was able to provide advisories that could be used to make decisions on whether to spray bactericide at the preand post-heading stage.

• Geomechanics and Engineering
• /
• v.13 no.5
• /
• pp.861-879
• /
• 2017

Coal and gas outburst is a serious dynamic disaster that occurs during coal mining and threatens the lives of coal miners. Currently, coal and gas outburst is commonly predicted using single indicator and its critical value. However, single indicator is unable to fully reflect all of the factors impacting outburst risk and has poor prediction accuracy. Therefore, a more accurate prediction method is necessary. In this work, we first analyzed on-site impacting factors and precursors of coal and gas outburst; then, we constructed a Fisher discriminant analysis (FDA) index system using the gas adsorption index of drilling cutting ${\Delta}h_2$, the drilling cutting weight S, the initial velocity of gas emission from borehole q, the thickness of soft coal h, and the maximum ratio of post-blasting gas emission peak to pre-blasting gas emission $B_{max}$; finally, we studied an FDA-based multiple indicators discriminant model of coal and gas outburst, and applied the discriminant model to predict coal and gas outburst. The results showed that the discriminant model has 100% prediction accuracy, even when some conventional indexes are lower than the warning criteria. The FDA method has a broad application prospects in coal and gas outburst prediction.