• Geomechanics and Engineering
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• 제37권3호
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• pp.253-262
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• 2024

Dynamic properties are pivotal in soil analysis, yet their experimental determination is hampered by complex methodologies and the need for costly equipment. This study aims to predict dynamic soil properties using static properties that are relatively easier to obtain, employing machine learning techniques. The static properties considered include soil cohesion, friction angle, water content, specific gravity, and compressional strength. In contrast, the dynamic properties of interest are the velocities of compressional and shear waves. Data for this study are sourced from 26 boreholes, as detailed in a geotechnical investigation report database, comprising a total of 130 data points. An importance analysis, grounded in the random forest algorithm, is conducted to evaluate the significance of each dynamic property. This analysis informs the prediction of dynamic properties, prioritizing those static properties identified as most influential. The efficacy of these predictions is quantified using the coefficient of determination, which indicated exceptionally high reliability, with values reaching 0.99 in both training and testing phases when all input properties are considered. The conventional method is used for predicting dynamic properties through Standard Penetration Test (SPT) and compared the outcomes with this technique. The error ratio has decreased by approximately 0.95, thereby validating its reliability. This research marks a significant advancement in the indirect estimation of the relationship between static and dynamic soil properties through the application of machine learning techniques.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.352-355
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• 2006

In this study, the seasonal and inter-annual variation of sea surface current in the Gulf of Thailand were revealed through the use of WOD temperature and salinity data and monthly sea surface dynamic heights (SSDH) from TOPEX/Poseidon and ERS-2 altimetry data during 1995-2001. The mean dynamic height and mean geostrohic current were derived from the climatological data while SSDH data gave monthly dynamic heights and their geopstrophic currents. The mean geostrophic current showed strong southward and westward flow of South China Sea water along the gulf entrance. Counterclockwise eddy in the inner gulf and the western side of the gulf entrance associated with upwelling in the area. Seasonal geostrophic currents show basin-wide counterclockwise circulation during the southwest monsoon season and clockwise circulation during the northeast monsoon season. Upwelling was enhanced during the southwest monsoon season. The circulation patterns varied seasonally and inter-annually probably due to the variation in wind regime. And finally we found that congregation, spawning, and migration routes of short-bodied mackerel conform well with coastal upwelling and surface circulation in the gulf.

• Asian Journal of Business Environment
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• 제14권1호
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• pp.23-30
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• 2024

Purpose: The purpose of this research is to explore the macroeconomic model through both static and dynamic equations. The primary objective of this study is to investigate the variations in the elasticity of substitution across changing economic variables within the framework of the Allen-Uzawa production functions. Research, design, data and methodology: The data were drawn from the World Bank's annual central statistical office database from 2010 to 2021 in the United States of America. The level of expenditures and of the public finance sector, macroeconomic data like output, inflation rates, and labor are examined. Results: This study demonstrates the interaction of two equations, clarifying that the macroeconomic model is practical to determining the stability of both static and dynamic equation systems analytically. The Allen-Uzawa equations allow for the verification of macroeconomic model properties, and study results demonstrate an increase in the range of capital uses as a form of mechanization. A constant elasticity of substitution function is derived from the macroeconomic variables. Conclusion: The macroeconomic model, though the analysis of the static and dynamic Allen - Uzawa model, not only facilitates the examination of long-term trends in crucial endogenous variables but also overcomes challenges commonly associated with other mathematical methods. Overall, the analysis promotes economic growth, investment, and employment. The levels of expenditures and the public finance sector, along with macroeconomic data such as output, inflation rates, and labor, are examined.

• 한국정보과학회논문지:데이타베이스
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• 제35권4호
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• pp.319-332
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• 2008

OLAP의 다차원 데이타 모델인 데이타 큐브는 많은 다차원 데이타 분석에 성공적으로 적용되었으며, 데이타 스트림 분석에도 적용하려는 많은 연구가 진행되고 있다. 데이타 스트림은 실시간에 지속적으로 방대하게 생성되며, 데이타의 분포적 특성이 빠르게 변한다는 특징을 가지며, 제한된 메모리 및 처리능력 때문에 한번만 검사하여 처리하는 것을 기본으로 한다. 때문에 데이타 스트림을 메모리에 모두 저장하는 것은 불가능하다. 또한 사용자는 모든 속성 값에 대하여 관심을 두기보다는 일정 지지율 이상을 가진 속성 값에 더욱 관심을 가지게 된다. 본 논문에서는 이러한 데이타 스트림 환경에서 데이타 큐브를 효과적으로 적용하기 위한 동적 데이타 큐브를 제안한다. 동적 데이타 큐브는 속성 값의 지지율에 따라 사용자 관심 영역을 지정하고, 속성 값을 동적으로 그룹화하여 관리한다. 이를 통해 메모리 및 처리시간을 절약하게 된다. 또한 동적으로 지지율이 높은 속성에 대한 분석 상세도를 높여주기 때문에 사용자의 관심영역을 효과적으로 보여준다. 마지막으로 실험을 통하여 제한된 메모리에서 동적 데이타 큐브가 효율적으로 동작함을 검증하였다.

• 노동경제논집
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• 제32권2호
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• pp.95-124
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• 2009

본 연구는 외환위기 이후 상장제조기업의 생산성 추이 및 교육훈련효과를 분석하였다. 분석 결과, 외환위기 이후 상장제조기업은 시간이 흐를수록 저 생산성 국면에 빠지게 되었으며, 그 과정에서 상장제조기업의 고용 없는 성장, 물적 투자 없는 성장, 인적자본투자 없는 성장 현상이 관찰되었다. 그리고 생산성이 높은 기업의 고용비중이 늘고, 낮은 기업의 고용비중이 주는 효율적인 노동시장이 거의 작동하지 않았다. 또한 교육훈련이 생산성에 미치는 영향을 분석해 보기 위해 동적 패널 분석을 실시할 경우 교육훈련의 과소투자가 발생하고 있음에도 불구하고 교육훈련의 생산성에 대한 지나치게 높은 긍정적 효과가 나타나는 모순적 현상이 상당 부분 해결되었다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2004년도 춘계학술발표회
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• pp.245-252
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• 2004

When some enormous earthquake hazards broke out in the neighboring Japan and Taiwan, many Korean earthquake engineers thought that seismic guidelines must be adjusted safely and economically to consider the moderate earthquake characteristics. In the present aseismic guideline for liquefaction potential assessment, a simplified method using SPT-N value and a detail method based on the dynamic lab-tests were introduced. However, it is said that these methods based on the equivalent stress concept to simplify an irregular earthquake are not reliable to simulate the kaleidoscopical characteristics of earthquake loading correctly. Especially, even though various data from the dynamic lab-test can be obtained, only two data, a maximum cyclic load and a number of cycle at an initial liquefaction are used to determine the soil resistance strength in the detailed method. In this study, a new assessment of liquefaction potential is proposed and verified. In the proposed assessment, various data from dynamic lab-tests are used to determine the unique soil resistance characteristic and a site specific analysis is introduced to analyze the irregular earthquake time history itself. Also, it is found that the proposed assessment is reasonable because it is devised to reflect the changeable soil behavior under dynamic loadings resulted from the generation and development of excess pore water pressure.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 춘계학술대회
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• pp.537-543
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• 2003

This paper presents the improved procedure to assess static and dynamic strength of crawler type excavators. A fully integrated model including front attachment and chassis was prepared for structural analysis. In this paper, two types of loading input methods were investigated and the method imposing digging force directly on bucket tooth was more convenient than imposing cylinder reaction force on cylinder pin even if the two methods showed no discrepancy in analysis results. Static strength analysis was carried out for eight analysis scenarios based on two extreme digging positions, maximum digging reach position and maximum digging force positions. The results from static strength analysis were compared with measured stresses, cylinder pressures and digging forces and showed a good quantitative agreement with measured data. Dynamic strength analysis was carried out for simple reciprocation of boom cylinders. It was recognized that the effect of compressive stiffness of hydraulic oil was very important for dynamic structural behavior. The results from dynamic strength analysis including hydraulic oil stiffness were also compared with measured acceleration data and showed a qualitative agreement with measured data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권4호
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• pp.1286-1306
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• 2022

Searchable symmetric encryption (SSE) provides a safe and effective solution for retrieving encrypted data on cloud servers. However, the existing SSE schemes mainly focus on single keyword search in single client, which is inefficient for multiple keywords and cannot meet the needs for multiple clients. Considering the above drawbacks, we propose a scheme enabling dynamic multi-client and Boolean query in searchable symmetric encryption for cloud storage system (DMC-SSE). DMC-SSE realizes the fine-grained access control of multi-client in SSE by attribute-based encryption (ABE) and novel access control list (ACL), and supports Boolean query of multiple keywords. In addition, DMC-SSE realizes the full dynamic update of client and file. Compared with the existing multi-client schemes, our scheme has the following advantages: 1) Dynamic. DMC-SSE not only supports the dynamic addition or deletion of multiple clients, but also realizes the dynamic update of files. 2) Non-interactivity. After being authorized, the client can query keywords without the help of the data owner and the data owner can dynamically update client's permissions without requiring the client to stay online. At last, the security analysis and experiments results demonstrate that our scheme is safe and efficient.

• 정보과학회 논문지
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• 제41권12호
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• pp.1126-1135
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• 2014

최근 대규모 RDF 데이터를 효과적으로 분산 저장 및 관리하기 위해 RDF 분할 기법의 연구가 진행되고 있다. 본 논문에서는 지속적으로 데이터의 추가 및 변경이 발생하는 동적 환경에서 부하 분산을 지원하는 RDF 동적 분할 기법을 제안한다. 제안하는 기법은 그래프 분할을 수행하기 위한 기준으로 질의에 의해 사용된 RDF 데이터의 사용 빈도에 따라 클러스터와 서브 클러스터 그룹을 생성한다. 생성된 클러스터와 서브 클러스터는 분산된 서버의 부하 및 저장되는 데이터 크기를 고려하여 분할을 수행한다. 이를 통해 지속적인 데이터 변경 및 추가로 인해 특정 서버에 대한 데이터 집중을 해결하고 서버들간에 효율적인 부하 분산을 수행한다. 성능평가를 통하여 분산 서버에서 제안하는 기법이 기존 분할 기법에 비해 질의 수행 시간이 크게 향상됨을 보인다.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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• pp.375-384
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• 2007

As teachings that use the ICT are more popular, many studies on the dynamic geometry environment(DGE) are under way. An important factor emphasized in the studies is to practical use learning activities of learners. In this study, we first define the learning history data in DGE. Second we develop a prototype of the DGE that is able to collect and analyze the learning history data automatically. The environment enables not only to grasp leaning history but also to create and manage new learning objects.