• 제목/요약/키워드: Anomalous behaviors

검색결과 36건 처리시간 0.026초

특수일 전력수요예측을 위한 신경회로망 시스템의 개발 (Development of Neural Network System for Short-Term Load Forecasting for a Special Day)

  • 김광호;윤형선;이철희
    • 산업기술연구
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    • 제18권
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    • pp.379-384
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    • 1998
  • Conventional short-term load forecasting techniques have limitation in their use on holidays due to dissimilar load behaviors of holidays and insufficiency of pattern data. Thus, a new short-term load forecasting method for special days in anomalous load conditions is proposed in this paper. The proposed method uses two Artificial Neural Networks(ANN); one is for the estimation of load curve, and the other is for the estimation of minimum and maximum value of load. The forecasting procedure is as follows. First, the normalized load curve is estimated by ANN. At next step, minimum and maximum values of load in a special day are estimated by another ANN. Finally, the estimate of load in a whole special day is obtained by combining these two outputs of ANNs. The proposed method shows a good performance, and it may be effectively applied to the practical situations.

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Raman Spectroscopic Studies on Two-Dimensional Materials

  • Lee, Jae-Ung;Kim, Minjung;Cheong, Hyeonsik
    • Applied Microscopy
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    • 제45권3호
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    • pp.126-130
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    • 2015
  • Raman spectroscopy is one of the most widely used tools in the field of graphene and two-dimensional (2D) materials. It is used not only to characterize structural properties such as the number of layers, defect densities, strain, etc., but also to probe the electronic band structure and other electrical properties. As the field of 2D materials expanded beyond graphene to include new classes of layered materials including transition metal dichalcogenides such as $MoS_2$, new physical phenomena such as anomalous resonance behaviors are observed. In this review, recent results from Raman spectroscopic studies on 2D materials are summarized.

TWO DIMENSIONAL NUMERICAL SIMULATION PROGRAM FOR HYDROGENATED AMORPHOUS SILICON THIN FILM TRANSISTORS

  • Choi, Jong-S.;Neudeck, Gerold W.
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1994년도 추계학술대회 논문집 학회본부
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    • pp.252-257
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    • 1994
  • A non-uniform finite-difference Thin Film Transistor Simulation Program (TFTSP) has been developed for hydrogenated amorphous silicon TFTs. TFTSP was developed to remove as many of simplifying assumptions as possible and to provide flexibility in the modeling of TFTs so that different model assumptions may be analyzed and compared. In order to insure its usefulness and versatility as an analytic and design tool it is important for the code to satisfy a number of conditions. However, at the beginning stage of the program development, this paper shows that the code can compute the static terminal characteristics of a-Si:H TFTs under a wide range of bias conditions to allow for comparison of the model with experiment. Some of those comparisons include transfer characteristics and I-V characteristics. TFTSP will be refined to conveniently model the performances of TFTs of different designs and to analyze many anomalous behaviors and factors of a-Si:H TFTs.

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A Study of Video-Based Abnormal Behavior Recognition Model Using Deep Learning

  • Lee, Jiyoo;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • 제9권4호
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    • pp.115-119
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    • 2020
  • Recently, CCTV installations are rapidly increasing in the public and private sectors to prevent various crimes. In accordance with the increasing number of CCTVs, video-based abnormal behavior detection in control systems is one of the key technologies for safety. This is because it is difficult for the surveillance personnel who control multiple CCTVs to manually monitor all abnormal behaviors in the video. In order to solve this problem, research to recognize abnormal behavior using deep learning is being actively conducted. In this paper, we propose a model for detecting abnormal behavior based on the deep learning model that is currently widely used. Based on the abnormal behavior video data provided by AI Hub, we performed a comparative experiment to detect anomalous behavior through violence learning and fainting in videos using 2D CNN-LSTM, 3D CNN, and I3D models. We hope that the experimental results of this abnormal behavior learning model will be helpful in developing intelligent CCTV.

불소고분자내 유기용매의 비-픽 확산 (Non-Fickian Diffusion of Organic Solvents in Fluoropolymeys)

  • 이상화
    • 폴리머
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    • 제28권1호
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    • pp.24-34
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    • 2004
  • 여러 종류의 불소고분자내로 다양한 유기용매들의 동적 흡수 평형 (혹은 팽윤) 실험을 진행하였다. 불소로 포화된 고분자는 이상적 흡수 거동을 나타내었으나 부분적으로 치환된 불소고분자는 최종 흡수단계에서 가속화되는 비이상적 흡수 거동을 나타내었다. 회귀분석에 의해 픽-확산 거동으로부터 벗어나는 정도를 최소자승법 (즉, ∑ [측정값-예측값]$^2$)으로 구한 결과 -퍼플루오로알콕시 공중합체, 폴리(에틸렌 테트라플루오로에틸렌) 공중합체, 폴리(비닐리덴 플루오라이드), 폴리(에틸렌 클로로트리플루오로에틸렌) 공중합체에 대해 각각 3.0${\times}$$10^{-4}$, 1.75${\times}$$10^{-3}$, 8.68${\times}$$10^{-3}$, 1.75${\times}$$10^{-2}$의 수치를 나타내었다. 응력-변형 실험 결과 비-픽 확산 거동은 팽윤된 불소고분자의 기계적 성질 (탄성률과 인장 강도) 변화와 상관관계가 있음을 알 수 있었다. 비이상적 흡수 거동의 주요 원인은 치환된 수소 혹은 염소와 불소원자 간의 전기음성도 차이에 기인한 사슬 간극성 결합 구조가 침투성분의 가소화 효과에 의해 비선형적 이완이 진행되면서 비-픽 확산이 진행되기 때문이다. 따라서 부분적으로 치환된 불소고분자를 차단성 혹은 선택적 투과기능이 요구되는 분야에 적용할 때 가소화 성분에 대한 용해 및 확산 거동에 대한 신중한 고찰이 필요하다.

Effects of environmental enrichment on behaviour, physiology and performance of pigs - A review

  • Mkwanazi, Mbusiseni Vusumuzi;Ncobela, Cypril Ndumiso;Kanengoni, Arnold Tapera;Chimonyo, Michael
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권1호
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    • pp.1-13
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    • 2019
  • This paper aims to critically analyse and synthesise existing knowledge concerning the use of environmental enrichment and its effect on behavior, physiology and performance of pigs housed in intensive production systems. The objective is also to provide clarity as to what constitutes successful enrichment and recommend when and how enrichment should be used. Environmental enrichment is usually understood as an attempt to improve animal welfare and to a lesser extent, performance. Common enrichment objects used are straw bedding, suspended ropes and wood shavings, toys, rubber tubings, colored plastic keys, table tennis balls, chains and strings. These substrates need to be chewable, deformable, destructible and ingestible. For enrichment to be successful four goals are essential. Firstly, enrichment should increase the number and range of normal behaviors; secondly, it should prevent the phenomenon of anomalous behaviors or reduce their frequency; thirdly, it should increase positive use of the environment such as space and fourthly it should increase the ability of the animals to deal with behavioral and physiological challenges. The performance, behavior and physiology of pigs in enriched environments is similar or in some cases slightly better when compared with barren environments. In studies where there was no improvement, it should be borne in mind that enriching the environment may not always be practical and yield positive results due to factors such as type of enrichment substrates, duration of provision and type of enrichment used. The review also identifies possible areas that still need further research, especially in understanding the role of enrichment, novelty, breed differences and other enrichment alternatives.

Competitive Photochlorination Reactions of Silane, di-Chloro and tri-Chlorosilanes at 337.1 nm

  • Jung, Kyung-Hoon;Jung, Kwang-Woo
    • Bulletin of the Korean Chemical Society
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    • 제8권4호
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    • pp.242-246
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    • 1987
  • The hydrogen abstraction reactions of $SiH_4, SiH_2Cl_2 \;and\; SiHCl_3$ by ground state chlorine atoms generated photochemically from chlorine molecules have been studied at temperatures between 15 and $100^{\circ}C.$ The absolute rates for the reactions have been obtained by a competition technique using ethane as a competitor. The rate expressions ($in cm^3/mol/s$) are found to conform to an Arrhenius rate law: $k_{SiH_4} = (7.98 {\pm} 0.42) {\times} 10^{13}$ exp $[-(1250 {\pm}20)/T].$ $k_{SiH_2Cl_2} = (2.25 {\pm} 0.12) {\times} 10^{15}$ exp[-(1010 ${\pm}$ 10)/T]. $k_{SiHCl_3} = (9.04 {\pm} 0.28) {\times} 10^{14}\; exp[-(1200 {\pm} 10)/T].$ The activation energies obtained from this study represent the same trend as with the carbon analogues, while this trend was not found with respect to the bond dissociation energies among silicon compound homologues. These anomalous behaviors were interpreted in terms of electronic effects and of the structural differences between these compounds.

니켈기 초내열합금 Alloy 263의 고온인장 및 크리프 변형기구 (Mechanisms of Tensile and Creep Deformation at Elevated Temperatures in a Ni-Base Superalloy Alloy 263)

  • 김인수;최백규;홍현욱;조창용
    • 대한금속재료학회지
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    • 제49권7호
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    • pp.535-540
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    • 2011
  • The tensile and creep behaviors of Alloy 263, which is a wrought Ni-base superalloy used for gas turbine combustion systems, was studied. Anomalous increase of yield strength and abrupt decrease of elongation with increasing temperature were observed after tensile testing at an intermediate temperature. Elongation of the superalloy decreased as the temperature increased to and above 540$^{\circ}C$, and it reached a minimum value at 760$^{\circ}C$. It was found that creep strain was also very low at the same temperature. Inhomogeneous deformation with intensive slip bands was observed in the specimens tested at low temperature. A thermally-assisted dislocation climb process was regularly conducted at high temperature. Twinning was found to be an important mechanism of both tensile and creep deformations of the superalloy at an intermediate temperature where ductility minimum was observed.

Anomalous Luminescence and Emission Quenching Behaviors of Tris(2,2$^\prime$-bipyridine)Ruthenium(Ⅱ) in Poly(methacrylic acid) Solutions$^1$

  • Park, Joon-Woo;Paik, Young-Hee
    • Bulletin of the Korean Chemical Society
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    • 제7권2호
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    • pp.137-142
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    • 1986
  • The luminescence spectra of $Ru(bpy)_3^{2+}$ in poly(methacrylic acid) (PMA) solutions varied sensitively with pH. At pH < 5.5, the emission intensity increased with pH up to 4 times, while it decreased with pH beyond the pH. The enhanced emission intensity was accompanied by blue-shift of the emission maxima as much as 15 nm. The enhancement of emission intensity was attributed to the restricted rotational mobility of ligand of the cation bound to densely coiled PMA molecules at pH < 5.5. The sharp decrease in emission intensity with increasing pH near pH 5.6 was accounted for conformational transition of the polymer to more extended structure, which was also revealed in viscosity measurement. The enhancement of emission intensity became higher as NaCl concentration of the solution increased. The binding constant of $Ru(bpy)_3^{2+}$ with two carboxylate groups of PMA was calculated as $2{\times}10^5\;M^{-1}$ in 0.1 M NaCl at pH 5.2. The pH dependence of luminescence quenching rate of $Ru(bpy)_3^{2+}$ by $Cu^{++}$ also showed maximum near pH 5, and the rate was more than $10^3$ times higher than that in water, whereas the maximum enhancement of quenching rate (about 20 times) in poly(acrylic acid) (PAA) solution occurred at pH 4.5. On the other hand, the pH dependence for neutral water soluble nitrobenzene (NB) exhibited opposite trend to that of $Cu^{++}$. The quenching constant vs pH curve for $MV^{++}$ was composite of those for $Cu^{++}$ and NB. The anomalous high quenching rate for $Cu^{++}$ in PMA solution at pH < 5.5 was attributed to the binding of $Ru(bpy)_3^{2+}$ and $Cu^{++}$ to the same region of PMA, when it conforms densely coiled structure in the pH range. The observation of mininium quenching rate for NB near pH 5.5 indicated that the $Ru(bpy)_3^{2+}$ bound to the densely coiled PMA is not accessible by NB, which is in bulk water phase. The composite nature of the pH dependence of quenching rate for $MV^{++}$ in PMA solution was attributed to the smaller binding affinity of the cation to PMA, compared to that of $Cu^{++}$. The sharp, cooperative conformational transition with pH observed in PMA was not revealed in PAA. But, the pH dependence of quenching rates in this polymer reflected increased charge density and, thus, binding of cations to the polymer, and expansion of the polymer chain with pH.

Pattern Recognition of Ship Navigational Data Using Support Vector Machine

  • Kim, Joo-Sung;Jeong, Jung Sik
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제15권4호
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    • pp.268-276
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    • 2015
  • A ship's sailing route or plan is determined by the master as the decision maker of the vessel, and depends on the characteristics of the navigational environment and the conditions of the ship. The trajectory, which appears as a result of the ship's navigation, is monitored and stored by a Vessel Traffic Service center, and is used for an analysis of the ship's navigational pattern and risk assessment within a particular area. However, such an analysis is performed in the same manner, despite the different navigational environments between coastal areas and the harbor limits. The navigational environment within the harbor limits changes rapidly owing to construction of the port facilities, dredging operations, and so on. In this study, a support vector machine was used for processing and modeling the trajectory data. A K-fold cross-validation and a grid search were used for selecting the optimal parameters. A complicated traffic route similar to the circumstances of the harbor limits was constructed for a validation of the model. A group of vessels was composed, each vessel of which was given various speed and course changes along a specified route. As a result of the machine learning, the optimal route and voyage data model were obtained. Finally, the model was presented to Vessel Traffic Service operators to detect any anomalous vessel behaviors. Using the proposed data modeling method, we intend to support the decision-making of Vessel Traffic Service operators in terms of navigational patterns and their characteristics.