• 한국정보통신학회논문지
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• 제25권11호
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• pp.1551-1558
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• 2021

실내 측위 시스템에 사용되는 Beacon의 신호는 반사 및 왜곡되어 노이즈 신호가 발생한다. 이 노이즈를 제거하기 위해 KF(Kalman Filter)가 널리 사용되어 왔다. KF를 적용하기 위해서는 각 제품의 신호 종류와 강도, 환경을 고려한 Parameters 최적화 과정이 필요하다. 본 논문에서는 BLE Beacon 기반 실내 측위 시스템에서 GA(Genetic Algorithm)를 활용한 KF Parameters의 최적화 문제 해결 방안을 제안한다. Beacon과 수신기 사이에 일정 거리를 두고 제안한 기법을 적용하여 KF Parameters를 최적화한 후, KF를 통과한 추정거리와 필터링을 거치지 않은 거리를 비교하였다. 제안하는 기법은 RSSI(Received Signal Strength Indi- cation)를 기반으로 하는 실내 측위 시스템에서 KF의 Parameters 최적화 소요시간 단축과 정확도 향상이 가능할 것으로 기대된다.

• 한국지반신소재학회논문집
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• 제8권3호
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• pp.25-34
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• 2009

붕적층을 포함하는 복합지반의 경우 역의 최대입자크기가 매우 크고, 붕적층을 구성하는 토질의 입도분포가 지역마다 다양하여 시험을 통한 설계지반정수 산정은 매우 어렵다. 또한 이러한 지층의 응력-변형율 거동은 블록(자갈, 전석 등)과 기질(모래, 실트 등)부 경계면의 공학적 성질에 좌우되지만 통상적으로 강도가 작은 기질부의 특성으로 강도정수가 결정되어 대상지반이 과소평가되기 쉽다. 따라서 본 연구에서는 대상지역에 대한 대규모 트렌치 조사를 실시하고 굴착면에 대한 스캔라인 및 이미지 분석을 통한 역의 분포비율을 결정하고 이들 역의 분포비율과 기질부 강도정수를 BIMROCK 모형곡선에 적용하여 대상지역 붕적층의 강도정수 범위를 추정하였다. 마지막으로 강도정수의 적정성을 대상지층에 대하여 한계평형해석을 통해 검증한 결과 합리적인 전단강도를 평가할 수 있었다.

• 한국전문물리치료학회지
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• 제19권3호
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• pp.20-30
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• 2012

The purpose of this study was to determine the effect of ankle joint mobilization with movement (MWM) on the range of motion (ROM) in the ankle, on the muscle strength of lower extremities, and on spatiotemporal gait parameters in chronic hemiplegic patients. Fifteen subjects with chronic stroke were divided into two groups: an experimental group (8 subjects) and a control group (7 subjects). Both groups attended two or three sessions of physical therapy each week. The experimental group also attended additional MWM training sessions three times a week for five weeks. For both groups, the ROM of the ankle, the muscle strength of the lower extremities, and the spatiotemporal gait parameters in paretic limbs were evaluated before and after the training period. The results showed that the experimental group experienced more significant increases than did the control group in terms of passive (6.10%) and active (21.96%) ROM of the ankle, gait velocity (12.96%), and peak torque, of the knee flexor (81.39%), the knee extensor (24.88%), and the ankle plantar flexor (41.75%)(p<.05). These results suggest that MWM training in patients with chronic stroke may be beneficial in increasing ROM in the ankle, muscle strength in the lower extremities, and gait speed.

• 한국산학기술학회논문지
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• 제16권3호
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• pp.2234-2241
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• 2015

본 연구에서는 국내 지반의 전단강도정수와 콘지수 사이의 상관관계를 확립하기 위하여 먼저 콘관입 모델을 통한 이론적 상관관계를 정리하고 이의 신뢰도를 높이기 위하여 인공신경망 기법을 적용하였다. 이론적 상관관계는 이론식을 유도하면서 적용한 가정들로 인하여 신뢰성 있는 지반의 거동을 예측하기 어려운 측면이 있다. 따라서 인공신경망 기법을 적용하여 이론적, 경험적 방법과 같은 기존의 방법과는 다른 새로운 측면에서 지반의 거동 특성을 파악할 필요성이 있다. 인경신경망 모델은 국내의 다양한 건설현장에서 수행한 지반조사 보고서를 통해서 입력자료를 확보한 뒤에 모델학습을 수행하였다. 연구결과 측정값과 예측값의 오차가 크지 않았고, 비교적 고르게 분포함을 알 수 있었다. 추후 보강된 인공신경망 모델을 구축하면 국내 특정 지역뿐만 아니라 일반화된 지역에 보편적으로 적용할 수 있을 것으로 기대된다.

• 한국지반환경공학회 논문집
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• 제14권5호
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• pp.49-56
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• 2013

천연자원을 개발하기 위한 심해저 탐사의 필요성이 증가하고 있다. 동해 울릉분지에서 수행된 가스 하이드레이트 심부 시추 사업(UBGH2)에서 획득된 시료로 지반공학적 기본특성 및 강도특성을 분석하였다. 아터버그 한계, 비표면적, 입도분포 등 기본 토질 실험을 실시하고 선행연구와 비교하였다. 광물학적 특성, 화학 조성, 미세구조 관찰을 위하여 XRD, SEM 그리고 EDS를 실시하였다. 또한 벤더 엘리먼트를 설치한 삼축압축셀을 이용하여 삼축압축실험을 수행하면서 강도정수와 전단파 거동을 분석하였다.

• Structural Engineering and Mechanics
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• 제38권1호
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• pp.1-25
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• 2011

A new nonlinear model was developed to evaluate the shear resistance of steel fiber-reinforced concrete beams (SFRCB) using linear genetic programming (LGP). The proposed model relates the shear strength to the geometrical and mechanical properties of SFRCB. The best model was selected after developing and controlling several models with different combinations of the influencing parameters. The models were developed using a comprehensive database containing 213 test results of SFRC beams without stirrups obtained through an extensive literature review. The database includes experimental results for normal and high-strength concrete beams. To verify the applicability of the proposed model, it was employed to estimate the shear strength of a part of test results that were not included in the modeling process. The external validation of the model was further verified using several statistical criteria recommended by researchers. The contributions of the parameters affecting the shear strength were evaluated through a sensitivity analysis. The results indicate that the LGP model gives precise estimates of the shear strength of SFRCB. The prediction performance of the model is significantly better than several solutions found in the literature. The LGP-based design equation is remarkably straightforward and useful for pre-design applications.

• Computers and Concrete
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• 제19권5호
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• pp.467-475
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• 2017

The purpose of this study is to establish a prediction model for the electrical resistivity ($E_r$) of self-consolidating concrete by using waste LCD (liquid crystal display) glass as part of the fine aggregate and then, to analyze the results obtained from a series of laboratory tests. A hyperbolic function is used to perform nonlinear multivariate regression analysis of the electrical resistivity prediction model, with parameters such as water-binder ratio (w/b), curing age (t) and waste glass content (G). Furthermore, the relationship of compressive strength and electrical resistivity of waste LCD glass concrete is also found by a logarithm function, while compressive strength is evaluated by the electrical resistivity of non-destructive testing (NDT). According to relative regression analysis, the electrical resistivity and compressive strength prediction models are developed, and the results show that a good agreement is obtained using the proposed prediction models. From the comparison between the predicted analysis values and test results, the MAPE value of electrical resistivity is 17.0-18.2% and less than 20%, the MAPE value of compressive strength evaluated by $E_r$ is 5.9-10.6% and nearly less than 10%. Therefore, the prediction models established in this study have good predictive ability for electrical resistivity and compressive strength of waste LCD glass concrete. However, further study is needed in regard to applying the proposed prediction models to other ranges of mixture parameters.

• Computers and Concrete
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• 제20권1호
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• pp.31-38
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• 2017

In the present study an Artificial Neural Network (ANN) was used to predict the compressive strength of self-compacting concrete. The data developed experimentally for self-compacting concrete and the data sets of a total of 99 concrete samples were used in this work. ANN's are considered as nonlinear statistical data modeling tools where complex relationships between inputs and outputs are modeled or patterns are found. In the present ANN model, eight input parameters are used to predict the compressive strength of self-compacting of concrete. These include varying amounts of cement, coarse aggregate, fine aggregate, fly ash, fiber, water, super plasticizer (SP), viscosity modifying admixture (VMA) while the single output parameter is the compressive strength of concrete. The importance of different input parameters for predicting the strengths at various ages using neural network was discussed in the study. There is a perfect correlation between the experimental and prediction of the compressive strength of SCC based on ANN with very low root mean square errors. Also, the efficiency of ANN model is better compared to the multivariable regression analysis (MRA). Hence it can be concluded that the ANN model has more potential compared to MRA model in developing an optimum mix proportion for predicting the compressive strength of concrete without much loss of material and time.

• Geomechanics and Engineering
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• 제1권1호
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• pp.35-52
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• 2009

A significantly thick zone of steep slopes is commonly encountered above groundwater table and the soils within this zone are unsaturated with negative pore-water pressures (i.e., matric suction). Matric suction contributes significantly to the shear strength of soil and to the factor of safety of unsaturated slopes. However, infiltration during rainfall increases the pore-water pressure in soil resulting in a decrease in the matric suction and the shear strength of the soil. As a result, rainfall infiltration may eventually trigger a slope failure. Therefore, understanding of shear strength characteristics of saturated and unsaturated soils under shearing-infiltration (SI) conditions have direct implications in assessment of slope stability under rainfall conditions. This paper presents results from a series of consolidated drained (CD) and shearing-infiltration (SI) tests. Results show that the failure envelope obtained from the shearing-infiltration tests is independent of the infiltration rate. Failure envelopes obtained from CD and SI tests appear to be similar. For practical purposes the shear strength parameters from the CD tests can be used in stability analyses of slopes under rainfall conditions. The SI tests might be performed to obtain more conservative shear strength parameters and to study the pore-water pressure changes during infiltration.

• Advances in concrete construction
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• 제5권4호
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• pp.313-330
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• 2017

Geopolymer is a sustainable concrete, replaces traditional cement concrete using alternative sustainable construction materials as binders and alkaline solution as alkaline activator. This paper presents the strength characteristics of geopolymer concrete (GPC) developed with fly ash and GGBS as binders, combined Sodium silicate ($Na_2SiO_3$) and Sodium Hydroxide (NaOH) solution as alkaline activators. The parameters considered in this research work are proportions of fly ash and GGBS (70-30 and 50-50), curing conditions (Outdoor curing and oven curing at $600^{\circ}C$ for 24 hours), two grades of concrete (GPC20 and GPC50). The mechanical properties such as compressive strength, split tensile strength and flexural strength along with durability characteristics were determined. For studying the durability characteristics of geopolymer concrete 5% $H_2SO_4$ solutions was used and the specimens were immersed up to an exposure period of 56 days. The main parameters considered in this study were Acid Mass Loss Factor (AMLF), Acid Strength Loss Factor (ASLF) and products of degradation. The results conclude that GPC with sufficient strength can be developed even under Outdoor curing using fly ash and GGBS combination i.e., without the need for any heat curing.