• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.3
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• pp.229-237
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• 2007

In this study, an artificial neural network (ANN)-based damage detection algorithm using acceleration signals is developed for real-time alarming locations of damage in beam-type structures. A new ANN-algorithm using output-only acceleration responses is designed tot damage detection in real time. The cross-covariance of two acceleration-signals measured at two different locations is selected as the feature representing the structural condition. Neural networks are trained lot potential loading Patterns and damage scenarios of the target structure for which its actual loadings are unknown. The feasibility and practicality of the proposed method are evaluated from laboratory-model tests on free-free beams for which accelerations were measured before and after several damage cases.

• The Journal of Korean Academy of Prosthodontics
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• v.55 no.1
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• pp.94-99
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• 2017

Nowadays, digital dentistry is generally applied to prosthodontics with fabrication of inlays or any other fixed prostheses by utilizing CAD/CAM (computer-aided design/computer-aided manufacturing) technology and intraoral scanner. However, in fabricating removable prosthesis, there are some limitations for digital technology to substitute conventional casting method. Therefore, approaching removable prostheses fabrication with CAD/CAM technology would be a meaningful trial. In this case report, Kennedy class III mandibular edentulous patient who was in need of increasing the vertical dimension of occlusion was treated with removable partial denture using CAD and rapid prototyping technique. Surveying and designing the metal framework of the partial denture was performed with CAD, and sacrificial plastic pattern was fabricated with rapid prototyping technique. During the follow up period of nine months, the removable partial denture has provided satisfactory results in esthetics and function.

• Explosives and Blasting
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• v.14 no.1
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• pp.49-63
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• 1996

Blasting is a work that destruct an object by use of explosive. Its use covers a wid range, and it is applicable to blast the rocks, minerals, coal, steel and concrete structures, bridges, etc. To execute the blast plan most effectively, the properties of the object and the explosives should be well understood, and all the other conditions must ve incorporated in its design and plan. A safe blasting pattern and procedure should be selected considering the envirinmental effects and dther conditions. At the same time, a protective protective pricedures should be utilized to prevent the safety hazards such as the excessive blast vubration, air pressure, and the flying fragments. This study reviews the controlled blasting techniques in these regards.

• Computational Structural Engineering
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• v.8 no.3
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• pp.51-57
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• 1995

A simplified stress analysis of perforated plates was carried out using homogenization technique. Homogenization technique, which introduced miroscale expansion in the standard finite element method, reconstructed the plate with regularly placed holes into a set of macroscale and microscale models. The microscale model helped compute homogenized material constants of the unit cell, which were used to compute macroscale displacements in the macroscale model. Also it was possible to compute the stress field of the plate using the microscale model. It was found that reasonable equivalent material constants were computed and that the required degrees of freedom was drastically reduced when homogenization technique was employed in the stress analyses. The microscale modeling in the homogenization technique provided a useful concept of pre- and post-processing in the stress analysis of perforated plates.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.206-206
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• 2018

설마천 및 청미천 시험유역에서 측정된 증발산량은 강수량 대비 약 20%이상으로 유출해석에 있어 큰 부분을 차지하고 있다. 시험유역 이외의 유역에서는 증발산 측정자료 확보가 어려워 이와 관련된 연구는 측정자료의 확보가 가능한 지역 혹은 기후변화자료를 이용한 연구가 주를 이루고 있다. 특히, 전국을 대상으로 하는 장기유출해석에 있어 유출량 자료를 활용하여 증발산량까지 추정하는 것에는 한계가 있다. 따라서, 본 연구에서는 이에 대한 대안으로 하천의 유출량과 WHAT모형을 이용하여 계산된 기저유출량을 동시에 고려하여 증발산량의 예측능력을 향상할 수 있는 방안을 제시하였다. 유출해석모형으로는 전국유역조사에서 활용되고 있을 뿐만 아니라, 증발산량 계산을 위하여 다양한 기법의 활용이 가능한 K-BASIN(PRMS)모형을 활용하였고, 매개변수 최적화를 위하여 하천유량뿐만아니라 기저유출량을 대상으로 Monte-Carlo 시뮬레이션을 수행하였다. 용담댐 시험유역에 적용하여 각 샘플의 하천유량과 기저유출량에 대하여 NSE 및 Pbias를 검토한 결과, 유출량에 대하여 NSE가 최고(0.9이상)인 샘플의 경우 관측된 증발산량과 상당한 차이를 보였으나, 유출량과 기저유출에 대하여 NSE가 최고(유출에 대한 NSE가 0.8, 기저유출량에 대한 NSE가 0.6)인 샘플의 경우에는 관측된 증발산량의 패턴을 유사하게 모의하였다. 추후 본 연구에서 제시된 기법의 타수계 적용 등의 추가적 검증을 통하여 장기유출해석시 증발산량의 예측정확도를 향상시킬 수 있을 것으로 판단된다.

• Food Science of Animal Resources
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• v.32 no.5
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• pp.644-651
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• 2012

We have investigated the effect of lard fraction extracted with supercritical carbon dioxide (SC-$CO_2$) on the flavor enhancement of maillard reaction product (MRP) based meat flavors. MRP based meat flavors were prepared with low glutamic acid (Glu) hydrolyzed wheat gluten (NaCl concentration: 7.61%(w/v)), ribose, cysteine, garlic juice powder, protease-digested Lentinus edodes powder and lard fractions extracted with SC-$CO_2$. Lard was extracted with SC-$CO_2$ at each of three temperatures (40, 60, and $80^{\circ}C$) and at each of four pressures (30, 40, 50, and 60 MPa). Obtained lard SC-$CO_2$ fractions and MRP based meat flavors with those fractions were analyzed for their total yield, aroma pattern by SMart nose system, and sensorial properties. The extraction yield had no difference as temperature increased from $40^{\circ}C$ to $60^{\circ}C$ and even decreased at $80^{\circ}C$. However, increase in pressure level at $40^{\circ}C$ drastically increased the extraction yield. The aroma patterns of raw lard and lard SC-$CO_2$ fractions with 30 MPa were significantly discriminated from those of SC-$CO_2$ lard fractions extracted with higher pressure by SMart nose system. Aroma pattern of MRP based meat flavors with higher pressure extracted lard fractions also showed significant difference through pattern analysis by the SMart nose system. The MRP based meat flavor with lard SC-$CO_2$ fractions at 50 and 60 MPa were described as less sulfuric, less pungent, and more balanced in roasted meat and sweet attributes from sensory evaluation.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2003.09a
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• pp.180-183
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• 2003

제주지역 하수종말처리장에서 발생하는 방류수(2차 처리수)를 재이용함으로써 지하수에 편중된 제주도의 용수 이용패턴을 다원화하는 대체수자원으로 활용하기 위하여 2001년 6월부터 하수처리장 방류수 재이용 방안연구를 실시하였다. 제주도내에서 운영 중인 3개 하수종말처리장의 방류수에 대한 장기적인 수질검사 결과, 염소이온 함량이 높아 재처리를 하지 않은 상태로 재이용 하기는 곤란한 것으로 파악되었다. 따라서, 재처리를 위한 최적의 공정을 선정하기 위해 pilot test를 실시한 결과, 방류수를 MF(정밀여과)막 전처리 ＋ RO(역삼투)막 처리의 재처리 공정으로부터 재처리된 물(3차 처리수)의 수질은 먹는물로 사용하더라도 전혀 문제가 없을 만큼 깨끗하게 처리되었다. 따라서 방류수 배출량이 많은 제주시 도두 하수처리장과 서귀포 보목 하수처리장의 방류수를 재처리하여 비음용 생활용수, 골프장 관개 수용수, 농업용수, 지하수 인공 함양용수 등으로 재이용하는 방안을 제시하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.672-673
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• 2016

최근 위변조에 의한 본인 인증 관련 사고가 급증하였으며 지문인식 밑 기타 다양한 인증시스템이 연구되고 있다. 최근에는 사람의 지정맥을 활용한 인증 시스템의 개발에 차세대 인증 시스템으로 연구가 활발히 진행되고 있다. 지정맥 인증 기술은 손가락 두 번째 마디 내 정맥을 말한다. 지정맥의 특성은 겉으로 보이지 않고 사람마다 패턴이 다르기 때문에 위 변조가 불가능하다. 뿐만아니라 지정맥 인증은 인증 절차가 간단하고, 보안성이 매우 높은 것으로 알려져 있다. 본 연구는 기존 지문을 이용한 출/퇴근 정보는 각종 관련 사고를 유발 시킬 수 있음을 방지하고자 지정맥을 이용한 본인 인증에 대한 보안성을 높이고, 각종 부당 취득 사고(추가근무)를 미연에 방지할 수 있으며, 지정맥을 이용해 출입/퇴근 시간을 기록하며 기록된 데이터로 지각/추가 근무 시간을 정확하게 측정 할 수 있다. 본 논문의 연구 결과물을 통해서 지정맥을 이용한 출/퇴근 정보를 데이터베이스/엑셀/텍스트에 저장하고, 기록된 정보를 이용해 지각/추가근무 시간을 정확하게 산출하여 각종사고를 미연에 방지할 수 있음을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.05a
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• pp.383-387
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• 2001

The sea flower begins at the water-sediment Interface. In the ocean basins, the sound velocity of the sediments at the interface vary from a few percent less than the sound speed in water just above the interface to somewhat greater. Marine sediments are unconsolidated; that is, the particles are not cemented of fused together. Samples feel like mud, muddy sand, sand, and so on. With the theoretical knowledge, the systematic research on the searching capability of Ultra Sonic Signal will be continued to identify the influence against the sea water subject. In this research, signal will be analyzed according to the influence range, power and sensitiveness of Ultra Sonic Generator. In addition, the radius of Ultra Sonic Signal will be included. The experimental field work will be executed at Nockdong, Pulkyo and other places well known as a habitat of Pan Shell.

• Journal of Internet Computing and Services
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• v.16 no.2
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• pp.77-83
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• 2015

Frequent pattern mining, which is one of the major areas actively studied in data mining, is a method for extracting useful pattern information hidden from large data sets or databases. Moreover, frequent pattern mining approaches have been actively employed in a variety of application fields because the results obtained from them can allow us to analyze various, important characteristics within databases more easily and automatically. However, traditional frequent pattern mining methods, which simply extract all of the possible frequent patterns such that each of their support values is not smaller than a user-given minimum support threshold, have the following problems. First, traditional approaches have to generate a numerous number of patterns according to the features of a given database and the degree of threshold settings, and the number can also increase in geometrical progression. In addition, such works also cause waste of runtime and memory resources. Furthermore, the pattern results excessively generated from the methods also lead to troubles of pattern analysis for the mining results. In order to solve such issues of previous traditional frequent pattern mining approaches, the concept of representative pattern mining and its various related works have been proposed. In contrast to the traditional ones that find all the possible frequent patterns from databases, representative pattern mining approaches selectively extract a smaller number of patterns that represent general frequent patterns. In this paper, we describe details and characteristics of pattern condensing techniques that consider the maximality or closure property of generated frequent patterns, and conduct comparison and analysis for the techniques. Given a frequent pattern, satisfying the maximality for the pattern signifies that all of the possible super sets of the pattern must have smaller support values than a user-specific minimum support threshold; meanwhile, satisfying the closure property for the pattern means that there is no superset of which the support is equal to that of the pattern with respect to all the possible super sets. By mining maximal frequent patterns or closed frequent ones, we can achieve effective pattern compression and also perform mining operations with much smaller time and space resources. In addition, compressed patterns can be converted into the original frequent pattern forms again if necessary; especially, the closed frequent pattern notation has the ability to convert representative patterns into the original ones again without any information loss. That is, we can obtain a complete set of original frequent patterns from closed frequent ones. Although the maximal frequent pattern notation does not guarantee a complete recovery rate in the process of pattern conversion, it has an advantage that can extract a smaller number of representative patterns more quickly compared to the closed frequent pattern notation. In this paper, we show the performance results and characteristics of the aforementioned techniques in terms of pattern generation, runtime, and memory usage by conducting performance evaluation with respect to various real data sets collected from the real world. For more exact comparison, we also employ the algorithms implementing these techniques on the same platform and Implementation level.