• 한국통신학회논문지
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• 제28권3C호
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• pp.336-342
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• 2003

잡음 예측 최대 유사도(noise predictive maximum likelihood, NPML) 검출기는 잡음 예측/백색화 과정을 비터비 검출기의 가지 메트릭 계산 과정에 삽입하여 데이터 검출의 신뢰성을 높이게 된다. 따라서 기존의 PRML검출기에 잡음 예측기를 포함시킴으로써 그것의 실제 성능이 향상되고 복잡도가 줄어드는 이점이 있다. 본 논문에서는 선형 채널 하에서 랜덤 시퀸스를 적용하였다. 수직 자기 기록 밀도 Kp=2.5에서 잡음 예측 PR-등화 신호에 의한 NP(121)ML과 NP(1221)ML 검출 시스템을 모의 실험을 통해 성능을 분석한 후 VHDL로 구현하여 검증하였다.

• 한국컴퓨터정보학회논문지
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• 제21권9호
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• pp.1-9
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• 2016

Recent embedded processors employ set-associative L1 instruction cache to improve the performance. The energy consumption in the set-associative L1 instruction cache accounts for considerable portion in the embedded processor. When an instruction is required from the processor, all ways in the set-associative instruction cache are accessed in parallel. In this paper, we propose the technique to reduce the energy consumption in the set-associative L1 instruction cache effectively by accessing only one way. Gshare branch predictor is employed to predict the instruction flow and determine the way to fetch the instruction. When the branch prediction is untaken, next instruction in a sequential order can be fetched from the instruction cache by accessing only one way. According to our simulations with SPEC2006 benchmarks, the proposed technique requires negligible hardware overhead and shows 20% energy reduction on average in 4-way L1 instruction cache.

• 대한화학회지
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• 제60권4호
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• pp.225-234
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• 2016

The activity of 34 sulfonamide derivatives has been estimated by means of multiple linear regression (MLR), artificial neural network (ANN), simulated annealing (SA) and genetic algorithm (GA) techniques. These models were also utilized to select the most efficient subsets of descriptors in a cross-validation procedure for non-linear -log (IC50) prediction. The results obtained using GA-ANN were compared with MLR-MLR, MLR-ANN, SA-ANN and GA-ANN approaches. A high predictive ability was observed for the MLR-MLR, MLR-ANN, SA-ANN and MLR-GA models, with root mean sum square errors (RMSE) of 0.3958, 0.1006, 0.0359, 0.0326 and 0.0282 in gas phase and 0.2871, 0.0475, 0.0268, 0.0376 and 0.0097 in solvent, respectively (N=34). The results obtained using the GA-ANN method indicated that the activity of derivatives of sulfonamides depends on different parameters including DP03, BID, AAC, RDF035v, JGI9, TIE, R7e+, BELM6 descriptors in gas phase and Mor 32u, ESpm03d, RDF070v, ATS8m, MATS2e and R4p, L1u and R3m in solvent. In conclusion, the comparison of the quality of the ANN with different MLR models showed that ANN has a better predictive ability.

• Nuclear Engineering and Technology
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• 제53권3호
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• pp.804-811
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• 2021

The T-junction exists widely in industrial engineering, especially in nuclear power plants, which plays an important part in nuclear power reactor thermal-hydraulics. However, the existing prediction models of the liquid entrainment are mainly based on the small branches or small breaks while there are a few researches for large branches (d/D > 0.2). Referring to the classical models about the onset of liquid entrainment of the T-junction, most of previous models regard liquid as ideal working fluid and ignore surface tension. This paper aims to study the effect of surface tension on the liquid entrainment, and develops an improved model based on the reasonable assumption. The establishment of new model employs the methods of force analysis, dimensional analysis. Besides, the dimensionless Weber number is adopted innovatively into the model to show the effect of surface tension. What is more, in order to validate the new model, three kinds of working fluids with different surface tensions are creatively adopted in the experiments: water, silicone oil and ethyl alcohol. The final results show that surface tension has a nonnegligible effect on the onset of liquid entrainment in large branch T-junction. The new model is well matched with the experimental data.

• 한국산업융합학회 논문집
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• 제24권3호
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• pp.323-331
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• 2021

With global warming and pollution problems, accurate forecasting of the harmful gases would be an essential alarm in our life. In this paper, we forecast the emission of the five gases(SOx, NO₂, NH₃, H₂S, CH₄) using the time series model of ARIMA, the learning algorithms of Random forest, and LSTM. We find that the gas emission data depends on the short-term memory and behaves like a random walk. As a result, we compare the RMSE, MAE, and MAPE as the measure of the prediction performance under the same conditions given to three models. We find that ARIMA forecasts the gas emissions more precisely than the other two learning-based methods. Besides, the ARIMA model is more suitable for the real-time forecasts of gas emissions because it is faster for modeling than the two learning algorithms.

• Geomechanics and Engineering
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• 제31권3호
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• pp.291-304
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• 2022

Maximum shear modulus (G_max or G₀) is an important soil property useful for many engineering applications, such as the analysis of soil-structure interactions, soil stability, liquefaction evaluation, ground deformation and performance of seismic design. In the current study, bender element (BE) tests are used to evaluate the effect of the void ratio, effective confining pressure, grading characteristics (D₅₀, C_u and C_c), anisotropic consolidation and initial fabric anisotropy produced during specimen preparation on the G_max of sand-gravel mixtures. Based on the tests results, an empirical equation is proposed to predict G_max in granular soils, evaluated by the experimental data. The artificial neural network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) models were also applied. Coefficient of determination (R²) and Root Mean Square Error (RMSE) between predicted and measured values of G_max were calculated for the empirical equation, ANN and ANFIS. The results indicate that all methods accuracy is high; however, ANFIS achieves the highest accuracy amongst the presented methods.

• 콘크리트학회논문집
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• 제26권2호
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• pp.159-169
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• 2014

이 연구에서는 철근콘크리트 전단벽의 횡하중 거동과 연성을 합리적으로 평가하기 위해서 모멘트-곡률관계를 정립하고 이로부터 단순화된 횡하중-횡변위관계를 제시하였다. 최초 휨 균열, 인장철근 항복, 최대내력, 최대내력의 80% 및 인장철근파단시점에서 모멘트와 곡률은 힘의 평형조건과 변형적합조건으로부터 정립되었다. 최대내력 이후의 곡률평가를 위한 압축측연단 콘크리트 변형률은 Razvi and Saatcioglu의 구속된 콘크리트의 응력-변형률 관계를 이용하여 최대응력의 감소계수와 횡보강근 체적지수의 함수로 제시하였다. 모멘트 평가모델은 변수연구를 통하여 인장철근지수, 수직철근지수 및 축력지수의 함수로 일반화하였다. 횡변위는 전단벽의 높이에 따라 분포된 이상화된 곡률로부터 모멘트 면적법을 이용하여 환산하였다. 제시된 횡하중-횡변위관계는 기존 실험 결과와 잘 일치하였으며, 특히 최대내력 이후의 거동을 잘 평가하였다.

• 한국강구조학회 논문집
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• 제13권1호
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• pp.9-18
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• 2001

대스팬 철골구조물의 지붕구조로서 강관트러스가 많이 사용되고 있다. 강관트러스는 타 단면(H, L형강 등)에 비하여 구조역학적인 측면에서 유리하다고 할 수 있다. 그러나 지관의 압축력에 의하여 격점부에는 국부좌굴이 발생하고 이로 인하여 구조체 전체의 내력이 격점부의 지배를 받게 된다. 또한 강관 격점부에서의 내력 및 변형 성상은 거동이 복잡하여 정확한 거동을 예측하기 어려울뿐만 아니라 해석적으로 정밀해를 구하기 어렵다. 이 연구에서는 T형 격점부를 대상으로 지관과 주관의 직경비(d/D) 주관경과 두께비(D/T)에 관한 변수를 설정하여 일련의 실험을 진행하고 기초하여 단순한 링해석법을 이용하여 항복하중에 관한 실용해를 제안하였다. 또한 부가적으로 각국에서 제안된 항복하중에 관한 기존의 연구결과와도 비교, 검토하였다.

• 한국전산유체공학회지
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• 제18권3호
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• pp.67-71
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• 2013

Recently, the rapid development of the semiconductor industry induces the prompt technical progress in the area of device integration and the application of large diameter wafers for the price competitiveness. As a result of the usage of large wafers in the semiconductor industry, the silicon carbide components which have layers of silicon carbide on graphite or RBSC substrates is getting widely used due to the advantages of SiC such as high hardness and strength, chemical and ionic resistant to all the environments superior than other ceramic materials. For the uniform and homogeneous deposition of silicon carbide on these huge components, it needs to know about the gas flow in the CVD reactor, not only for the delicate adjustment of the process variables but more essentially for the cost reduction for the shape change of specimens and their holders on the stage of reactor. In this research, the CFD simulation is challenged for the prediction of the inner distribution of the gas velocity. Chemical reaction simulation is used to predict the distribution of concentration of the reacting gas with the rotating velocity of the stage. With the increase of the rotating speed, more uniform distribution of the reacting gas on the surface of the stage was obtained.

• 디지털융복합연구
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• 제12권3호
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• pp.237-242
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• 2014

IT 서비스 및 컴퓨팅 자원을 기반으로 인터넷 서비스를 제공하는 클라우드 컴퓨팅이 최근 큰 관심을 받고 있다. 그러나 클라우드 컴퓨팅 시스템에 저장되는 데이터는 암호화한 후 저장되어도 기밀 정보가 유출되는 문제점이 있다. 본 논문에서는 사용자가 클라우드 컴퓨팅 시스템에서 제공되는 데이터를 제 3자가 임의로 악용하는 것을 예방하기 위한 그룹 키 관리 프로토콜을 제안한다. 제안된 프로토콜은 임의의 사용자가 원격에서 클라우드 컴퓨팅 서버에 접근할 경우 서버에 존재하는 사용자 인증 데이터베이스내 사용자 정보를 일방향 해쉬 함수와 XOR 연산을 사용하여 사용자 인증을 제공받는다. 도한 사용자의 신분확인 및 권한을 연동하여 클라우드 컴퓨팅 시스템에 불법적으로 접근하는 사용자를 탐색함으로써 클라우드 컴퓨팅의 사용자 보안 문제를 해결하고 있다.