• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.9
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• pp.417-424
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• 2002

This paper presents an industrial peak load management system for the peak demand control. Kohonen neural network and wavelet transform based techniques are adopted for industrial peak load forecasting that will be used as input data of the peak demand control. Firstly, one year of historical load data of a steel company were sorted and clustered into several groups using Kohonen neural network and then wavelet transforms are applied with Biorthogonal 1.3 mother wavelet in order to forecast the peak load of one minute ahead. In addition, for the peak demand control, composite fuzzy model is proposed and implemented in this work. The results are compared with those of conventional model, fuzzy model and composite model, respectively. The outcome of the study clearly indicates that the composite fuzzy model approach can be used as an attractive and effective means of the peak demand control.

• Korean Journal of English Language and Linguistics
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• v.2 no.4
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• pp.555-574
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• 2002

This study concerns the constraints of English Poetic Meter. In English poems, the metrical pattern doesn't always match the linguistic stress on the lines. These mismatches are found differently among the poets. For the lexical stress mismatched with the weak metrical position, W⇒ Strength is established by the concept of the strong syllable. The peaks of monosyllabic words mismatched with the weak metrical position are divided according to which side of the boundary of a phonological domain they are adjacent to. Adjacency Constraint I is suggested for the mismatched peak which is adjacent to the left boundary of a phonological domain; /sup */Peak] and Adjacency ConstraintⅡ for the mismatched peak which is adjacent to the right boundary of a phonological domain. These constraints are various according to the poets (Pope, Milton and Shakespeare) : /sup */[Peak [-stress], /sup */W⇒ Strength and /sup */Peak] in Pope; /sup */[+stress][Peak[-stress] and /sup */Peak] in Milton; /sup */[ +stress][Peak[-stress], /sup */W⇒Strength and Adjacency ConstraintⅡ in Shakespeare.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.305-312
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• 2014

This paper discusses real-time peak shaving algorithms for a large-scale battery energy storage system (BESS). Although several transmission and distribution functions could be implemented for diverse purposes in BESS applications, this paper focuses on a real-time peak shaving algorithm for an energy time shift, considering wind power generation. In a high wind penetration environment, the effective load levels obtained by subtracting the wind generation from the load time series at each long-term cycle time unit are needed for efficient peak shaving. However, errors can exist in the forecast load and wind generation levels, and the real-time peak shaving operation might require a method for wind generation that includes comparatively large forecasting errors. To effectively deal with the errors of wind generation forecasting, this paper proposes a real-time peak shaving algorithm for threshold value-based peak shaving that considers fuzzy wind power generation.

• Korean Journal of Food Science and Technology
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• v.39 no.1
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• pp.33-38
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• 2007

The peak time, peak height, width at peak, and the width at 8 min of Mixograph increased as the amount of sodium chloride in yellow alkaline noodle sheet was increased. The peak time of the Mixograph duration increased almost twice when 0.5% sodium carbonate was added to yellow alkaline noodle sheet, but decreased when the amount of sodium carbonate was above 0.5%. The peak height decreased as the amount of sodium carbonate increased. Protein content and sedimentation values showed positive correlations with the Mixograph peak height, width at peak, and width at 8min. The pasting temperature, peak viscosity, minimum viscosity, and final viscosity increased as the amount of sodium chloride in yellow alkaline noodle sheets was increased for all wheat flours. The peak viscosity, minimum viscosity, and final viscosity also increased as the amount of sodium carbonate increased. The pasting temperature showed a positive correlation with the water retention capacity and the alkaline water retention capacity.

• Journal of the Korean GEO-environmental Society
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• v.9 no.1
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• pp.47-54
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• 2008

In this study, the effect of water content condition was investigated on the Mohr-Coulomb shear strength parameters which are commonly used as the input data in the soil slope analysis. For the purpose, a series of direct shear test was conducted in different water content conditions on the two types of weathered soils and a dam core material, obtained from the domestic slope construction sites and the dam construction site, respectively. The comparisons between the values of the Mohr-Coulomb ${\phi}_{peak}$ and $c_{peak}$, estimated from the relationships between the normal stress and the peak shear stress for the samples in the four different water content conditions (i.e., dry side, optimum, wet side, and saturated), showed that overall, the values of $c_{peak}$ decreased gradually while those of ${\phi}_{peak}$ did not vary much with increasing the water content. A rough estimate for the varying ratio of the values of ${\phi}_{peak}$ and $c_{peak}$ indicated that the values of $c_{peak}$ decreased by every 25% of the $c_{peak}$ values in dry side, while those of ${\phi}_{peak}$ were constant, as the water content condition changed from dry, optimum, and wet to saturated, respectively.

• Restorative Dentistry and Endodontics
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• v.36 no.2
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• pp.108-113
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• 2011

Objectives: To determine the effect of the spectral output of single and dual-peak light emitting diode (LED) curing lights on the microhardness and color stability of commercial resin composites formulated with camphorquinone and alternative photoinitiators in combination. Materials and Methods: Three light-polymerized resin composites (Z100 (3M ESPE), Tetric Ceram (Ivoclar Vivadent) and Aelite LS Posterior (Bisco)) with different photoinitiator systems were used. The resin composites were packed into a Teflon mold (8 mm diameter and 2 mm thickness) on a cover glass. After packing the composites, they were light cured with single-peak and dual-peak LEDs. The Knoop microhardness (KHN) and color difference (${\Delta}E$) for 30 days were measured. The data was analyzed statistically using a student's t-test (p < 0.05). Results: All resin composites showed improved microhardness when a third-generation dual-peak LED light was used. The color stability was also higher for all resin composites with dual-peak LEDs. However, there was a significant difference only for Aelite LS Posterior. Conclusions: The dual-peak LEDs have a beneficial effect on the microhardness and color stability of resin composites formulated with a combination of camphorquinone and alternative photoinitiators.

• Journal of Korean Society of Transportation
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• v.21 no.6
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• pp.27-42
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• 2003

The basis for planning airport development is the specific demand at peak hour among various aviation demands. The demand at peak hour is regarded to be the source which enables us to estimate the size requirement and capacity of an airport facility. The distribution type of peak hour-operation depends on the difference of aircraft route, geographical location of airport, passengers and cargo. The demand at peak hour is calculated with peak hour factor. So far, the features of peak hour adopted for domestic airport construction plan have been based on the foreign research results. However, it is officially unconfirmed whether the various peak hour characteristics or peak hour factor suggested from foreign studies can be compatible with Korean state or not. In this study, the aircraft operation pattern and the peak hour characteristics are analyzed with hourly data using the operation schedule of an airport for the last 5 years and the actual result statistics of Korean air transportation by airport through the recent 10 Years. After the peak hour factor of the airports is calculated and compared with existing research results, peak hour factor by annual operation frequency is suggested for Korean airports.

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.83-83
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• 1999

본 연구에서는 Auger Elecrtron Spectroscopy (AES) 장비를 이용하여 Silicone Wafer 표면에 BF 이온을 주입시킨 후 Dopping 농도 및 Implantation 에너지에 따른 Si KLL Peak의 변화를 관찰하였다. 또한 PVD Ti 계열 화학물의 시료에 대하여 Peak의 Shape 변화를 관찰하였다. 1)Dopping 농도 및 Implantation 에너지에 따른 Si KLL Peak의 변화 관찰 일반적으로 Silicone 기판에 Arsenic(3가)을 Dopping 하였을 경우, Si KLL Peak의 Kinetic Energy 값은 순수 Si Peak보다 더 작은 값으로 Shift 하며, Boron (5가)을 Dopping하였을 경우에는 더 큰 값으로 Shift 한다. 이론적으로 N-type Si의 에너지 차이는 약 1.0eV로 보고되어 있으며, AES를 이용하여 실험적으로 측정된 값은 약 0.6eV정도로 알려져 있다. 이러한 차이는 Dopping 농도에 따라 Valance Band의 에너지 값이 변화하기 때문이라고 알려져 있다. 본 연구에서는 BF2를 Si에 이온 주입하여 입사 에너지 및 dose 량에 따른 Si KLL Peak의 변화를 관찰하였다. 그림1과 같이 Si KLL Peak는 Implantation Energy가 작을수록 Kinetic Energy가 높은 곳으로 Shift 한다. 이는 LOw Energy로 이온 주입하면, Projected Range (Rp)가 High Energy로 이온 주입할 때보다 작기 때문이며, 이 결과를 Secondary Ion Mass Spectroscopy (SIMS) 및 TRIM simulation을 이용하여 확인하였다. 또한 표면에서의 전자 Density의 변화와 Implantation energy와의 관계를 시료의 표면에서 반사되어 나오는 전자의 에너지 손실(Reflected Electron Energy Loss Spectroscopy:REELS)을 통하여 고찰하였다. 2) PVD Ti 계열화합물의 시료에 대한 peak의 shape 가 변화하며, TiL3M23V (Ti2) 및 TiL3M23M23 (Til) Peak의 Intensity Ratio가 변화한다. 따라서 본 연구에서는 그림 2와 같이 Ti 결합 화합물에서의 Ti Auger Peak의 특성 에너지 값과 Peak Shape를 관찰하여, AES를 이용하여 Ti 계열의 화합물에 대한 Chemical state 분석의 가능성을 평가하였다.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.6
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• pp.251-258
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• 2023

It is necessary to predict peak load accurately in order to supply electric power and operate the power system stably. Especially, it is more important to predict peak load accurately in winter and summer because peak load is higher than other seasons. If peak load is predicted to be higher than actual peak load, the start-up costs of power plants would increase. It causes economic loss to the company. On the other hand, if the peak load is predicted to be lower than the actual peak load, blackout may occur due to a lack of power plants capable of generating electricity. Economic losses and blackouts can be prevented by minimizing the prediction error of the peak load. In this paper, the latest deep learning model such as TCN is used to minimize the prediction error of peak load. Even if the same deep learning model is used, there is a difference in performance depending on the hyper-parameters. So, I propose methods for optimizing hyper-parameters of TCN for predicting the peak load. Data from 2006 to 2021 were input into the model and trained, and prediction error was tested using data in 2022. It was confirmed that the performance of the deep learning model optimized by the methods proposed in this study is superior to other deep learning models.

• KEPCO Journal on Electric Power and Energy
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• v.1 no.1
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• pp.169-174
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• 2015

In this research, pristine graphene was synthesized using methane ($CH_4$) gas, and N-doped graphene was synthesized using pyridine ($C_5H_5N$) liquid source by chemical vapor deposition (CVD) method. Basic optical properties of both pristine and N-doped graphene were investigated by Raman spectroscopy and XPS (X-ray photoemission spectroscopy), and electrical transport characteristics were estimated by current-voltage response of graphene channel as a function of gate voltages. Results for CVD grown pristine graphene from methane gas show that G-peak, 2D-peak and C1s-peak in Raman spectra and XPS. Charge neutral point (CNP; Dirac-point) appeared at about +4 V gate bias in electrical characterization. In the case of pyridine based CVD grown N-doped graphene, D-peak, G-peak, weak 2D-peak were observed in Raman spectra and C1s-peak and slight N1s-peak in XPS. CNP appeared at -96 V gate bias in electrical characterization. These result show successful control of the property of graphene artificially synthesized by CVD method.