• Title/Summary/Keyword: Gradient Grade

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A study on the Effective Utilization of Temperature Logging Data for Calculating Geothermal Gradient (지온경사 산출을 위한 효율적인 온도검층자료 이용방법 연구)

  • 김형찬
    • Economic and Environmental Geology
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    • v.32 no.5
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    • pp.503-517
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    • 1999
  • The purpose of this study is to verfify a more effecive techique for calculating geothermal gradient. this study examines 370 data of temperature-logging having been collected since 1985. The daya are divided into three different grades grades according to the type of temperature-depth plots: 204 data show typical linear gradient (Grade A); 126 data do not explicitily show the gradient becase of various external effects such as water flow (Grade B); and the rest 40 data do not show the gradient at all (Grade D). The new technique for calculating geothermal gradient is to be required to use Greade-B data more effctiviely. This new technique includes (1) calculating the independer depth of atmospheric temperature in the earth; (2) drawing a distribution map of subsurface tempurature by using the distribution map of subsurface temperature by using Grade-A data at the independent depth; and (3) recalculating geothermal gradient of Grade-B data by using the distrbution map of subsurface temperature, borehole depth, and bottom temperature of Grade-B data by using the distribution map of subsurface temperature, borehole depth, and bottom temperature of Grade-B data. As a result, 330 data-both Grade-A and Grade-B data--can be used to draw a distribution map of hot spradient. The map clearly distinguishes anomaly areas, and helps interpret their relations to the distribution of hot springs, geology, geological structures, and geophysical anomaly areas. These new results reveal that the average of geothermal in south Korea is 25.6$^{\circ}C$/km, when calculated to the Kriging method.

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Metallurgical Refinement of Multicrystalline Silicon by Directional Solidification (일방향 응고법에 의한 다결정 실리콘의 야금학적 정련)

  • Jang, Eunsu;Park, Dongho;Yu, Tae U;Moon, Byung Moon
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.05a
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    • pp.111.1-111.1
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    • 2011
  • The solar energy is dramatically increasing as the alternative energy source and the silicon(Si) solar cell are used the most. In this study, the improved process and equipment for the metallurgical refinement of multicrystalline Si were evaluated for the inexpensive solar cell. The planar plane and columnar dendrite aheadof the liquid-solid interface position caused the superior segregation of impurities from the Si. The solidification rate and thermal gradient determined the shape of dendrite in solidified Si matrix solidified by the directional solidification(DS) method. To simulate this equipment, the commercial software, PROCAST, was used to solve the solidification rate and thermal gradient. Si was vertically solidified by the DS system with Stober process and up-graded metallurgical grade or metallurgical grade Si was used as the feedstock. The inductively coupled plasma mass spectrometry (ICP) was used to measure the concentration of impurities in the refined Si ingot. According to the result of ICP and simulation, the high thermal gradient between the two phases wasable to increase the solidification rate under the identical level of refinement. Also, the separating heating zone equipped with the melting and solidification zone was effective to maintain the high thermal gradient during the solidification.

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Dynamic GBFCM(Gradient Based FCM) Algorithm (동적 GBFCM(Gradient Based FCM) 알고리즘)

  • Kim, Myoung-Ho;Park, Dong-C.
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.1371-1373
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    • 1996
  • A clustering algorithms with dynamic adjustment of learning rate for GBFCM(Gradient Based FCM) is proposed in this paper. This algorithm combines two idea of dynamic K-means algorithms and GBFCM : learning rate variation with entropy concept and continuous membership grade. To evaluate dynamic GBFCM, we made comparisons with Kohonen's Self-Organizing Map over several tutorial examples and image compression. The results show that DGBFCM(Dynamic GBFCM) gives superior performance over Kohonen's algorithm in terms of signal-to-noise.

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The Gradient Analysis of the Korean Peninsula by using DEM (DEM을 이용한 한반도 지형의 경사도 분석)

  • Lee, Kum-Sam;Jo, Wha-Ryong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.1
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    • pp.35-43
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    • 2000
  • The slope gradient of the Korean Peninsula was analyzed by using DEM(DTED level 1). The Peninsula has high percentages of gentle slopes. But low plains and very steep slope regions are scarcely distributed in the Peninsula. Altitude lower than 150m areas are composed of plains and undulated plains. The steepest and most rugged topographies are observed in the range of altitude from 500m to 1,000m areas. The areas of altitude greater than 1,000m show plateau landscapes. By overlapping digital geology maps and the gradient grade maps, We revealed the characteristics of slope regions by geological districts. High latitude with steep slope are well developed in the geological districts of granitic gneiss(ARgr) and gneiss($PR_1$) of the Pre-Cambrian, sandstone of the Paleozoic era(P-T), and sedimentary rocks of the Mesozoic era($J_2$). Low altitude with gentle slope areas are representative in the districts of granite of the Mesozoic era($Jgr_1$), the Cretaceous sedimentary rocks of the Mesozoic era($K_1$, $K_2$) and the Cenozoic strata(N). Basalt extruded the Quaternary($Q_1$) are observed in the areas of very gentle slope but greater than 1,000m altitude.

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Surgical Experience of Idiopathic Hypertrophic Subaortic Stenosis - Report of A case - (특발성 비후성 대동맥판하 협착증의 수술적 치험 1례 보)

  • 강경훈
    • Journal of Chest Surgery
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    • v.20 no.3
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    • pp.610-618
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    • 1987
  • A 23-y-o male patient was suffered from intermittent fainting and dyspnea on exertion [NYHA Class IIIIV]. 2-D - Echocardiogram and cardiac catheterization with cineangiogram showed typical IHSS findings those were asymmetrical septal hypertrophy [ASH], systolic anterior motion of anterior mitral leaflet [SAM] which induced mild mitral regurgitation [Seller Grade I/IV] and pressure gradient about 60 mmHg between left ventricle and the aorta. Medical treatment with 8-adrenergic blockade [propranolol] and Ca" channel antagonist [Verapamil] had no response. So, we performed trans-aortic ventricular septal myotomy and mymectomy. Resected rectangular muscle bar was 1 Cm x 1 Cm x 4.5 Cm. Post-operative pressure gradient between the left ventricle and the aorta was less than 10 mmHg and SAM. was disappeared with decreased mitral regurgitation grade. Post-operative course was smooth and his symptoms and signs were free without any medication during 12 months follow-up.w-up.

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Multi-junction thermocouple for temperature gradient measurements (온도구배 측정용 다중접점 열전대)

  • Kim, Yong-Gyoo;Gam, Kee-Sool
    • Journal of Sensor Science and Technology
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    • v.4 no.2
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    • pp.3-6
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    • 1995
  • Type K thermocouples having multi-junction for measuring the temperature gradient of the furnace were fabricated. The obtained results on the temperature gradient of the electric furnace maintained at $800^{\circ}C$ were consistent with those for the reference grade type S thermocouple, which was carefully calibrated, within the permitted error limit of the type K thermocouple. It was suggested that noble metal multi-junction thermocouples be suitable for more accurate temperature gradient measurements.

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A STUDY ON SELECTING OPTIMAL HAUL ROUTES OF EARTHMOVING MACHINE

  • Han-Seong Gwak;Chang-Yong Yi;Chang-Baek Son;Dong-Eun Lee
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.513-516
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    • 2013
  • Earthmoving equipment's haul-route has a great influence on the productivity of the earth work operation. Haul-route grade is a critical factor in selecting the haul-route. The route that has low grade resistance contributes to increase machine travel speed and production. This study presents a mathematical model called "Hauling-Unit Optimal Routes Selecting system" (HUORS). The system identifies optimal path that maximize the earth-work productivity. It consists of 3 modules, i.e., (1) Module 1 which inputs site characteristic data and computes site location and elevation using GIS(Geographical Information System); (2) Module 2 which calculates haul time; (3) Module 3 which displays an optimum haul-route by considering the haul-route's gradient resistances (i.e., from the departure to the destination) and hauling time. This paper presents the system prototype in detail. A case study is presented to demonstrate the system and verifies the validity of the model.

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Experimental Analysis of Curling Behavior of Concrete Slabs on Grade under Temperature Loading and Underlying Layers' Effects (지반위에 놓인 콘크리트 슬래브의 온도하중 하의 컬링 거동 및 하부층 영향 실험적 분석)

  • Kim, Seong-Min;Park, Hee-Beom
    • International Journal of Highway Engineering
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    • v.10 no.4
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    • pp.171-180
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    • 2008
  • This study was conducted to analyze the curling behavior of concrete slabs on grade under temperature loading through the laboratory tests and to investigate the effects of the support conditions of underlying layers on the curling behavior of the slab on grade systems. For the laboratory tests, the concrete slabs were fabricated and the temperature measurement sensors were installed. The temperature loading was applied intentionally and the time histories of the vertical displacements of the slab at several different positions were measured. One-layered underlying layers were made using different materials and different thicknesses. Two-layered underlying layers were also made to have the same composite stiffness each other, but the material of the upper layer was designed to be different The experimental analysis results showed that the trend of the displacement time histories of the slab was basically the same as that of the temperature gradient time histories. The characteristics of the curling behavior of the slab were analyzed by separating the regions of curling up and curling down. The difference in the vertical displacements at the center and comer decreased as the stiffness of the underlying layer became larger, and the upper layer's material of the underlying layers affected the curling behavior of the slab.

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A Study for Precision Equation and Transition curve of Vertical Curve (종곡선의 정밀식과 완화곡선에 관한 연구)

  • Shin, Soon-Ho;Kim, Yong-Eul
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.1676-1682
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    • 2008
  • The vertical curve of railway is installed in changing point where the gradient is more than a certain degree to ensure safe operation of train and comfort of passengers. As a result of CAD work with 3D coordination by using the existing equation, it was found that the simple equation about vertical curve installation suggested in the surveying engineering or railway regulations did not reflect theoretical curvature of circular curve in a case of steep grade and large vertical radius. In this study, for derive precision equation and transition curve about vertical curve, gradient parameters, equation of circles and transition curve equation were used, and it was verified by CAD that the derived equation is exactly satisfied with parameters of geometrical circular and transition curve. This equation could be used to provide more smoothing operation of train and comfort of passengers on vertical curves, especially in case that railway requires precision vertical alignment of track such as super high-speed railway, LRT or Maglev system.

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Performance Comparison of Neural Network and Gradient Boosting Machine for Dropout Prediction of University Students

  • Hyeon Gyu Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.8
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    • pp.49-58
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    • 2023
  • Dropouts of students not only cause financial loss to the university, but also have negative impacts on individual students and society together. To resolve this issue, various studies have been conducted to predict student dropout using machine learning. This paper presents a model implemented using DNN (Deep Neural Network) and LGBM (Light Gradient Boosting Machine) to predict dropout of university students and compares their performance. The academic record and grade data collected from 20,050 students at A University, a small and medium-sized 4-year university in Seoul, were used for learning. Among the 140 attributes of the collected data, only the attributes with a correlation coefficient of 0.1 or higher with the attribute indicating dropout were extracted and used for learning. As learning algorithms, DNN (Deep Neural Network) and LightGBM (Light Gradient Boosting Machine) were used. Our experimental results showed that the F1-scores of DNN and LGBM were 0.798 and 0.826, respectively, indicating that LGBM provided 2.5% better prediction performance than DNN.