• Title/Summary/Keyword: Field Model

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Sequence Anomaly Detection based on Diffusion Model (확산 모델 기반 시퀀스 이상 탐지)

  • Zhiyuan Zhang;Inwhee, Joe
    • Annual Conference of KIPS
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    • 2023.05a
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    • pp.2-4
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    • 2023
  • Sequence data plays an important role in the field of intelligence, especially for industrial control, traffic control and other aspects. Finding abnormal parts in sequence data has long been an application field of AI technology. In this paper, we propose an anomaly detection method for sequence data using a diffusion model. The diffusion model has two major advantages: interpretability derived from rigorous mathematical derivation and unrestricted selection of backbone models. This method uses the diffusion model to predict and reconstruct the sequence data, and then detects the abnormal part by comparing with the real data. This paper successfully verifies the feasibility of the diffusion model in the field of anomaly detection. We use the combination of MLP and diffusion model to generate data and compare the generated data with real data to detect anomalous points.

Probabilistic Model and Analysis of a Conventional Preinstalled Mine Field Defense

  • Lee, Young-Uhn
    • Journal of the military operations research society of Korea
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    • v.6 no.2
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    • pp.151-184
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    • 1980
  • Simple models for a defense consisting of a preinstalled mine field possibly defended by an anti-tank weapon are derived and analyzed. This paper uses a special Poisson process to model the one or two positions of mines in the mine field. The duel between the anti-tank weapon and offensive tanks crossing the field is modeled with a continuous time Markov chain. Some algebraic solutions and numerical results are obtained for specific scenarios.

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Fringe Field Effects on Transient Characteristics of Nano-Electromechanical (NEM) Nonvolatile Memory Cells

  • Han, Boram;Choi, Woo Young
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.5
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    • pp.609-614
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    • 2014
  • The fringe field effects on the transient characteristics of nano-electromechanical (NEM) memory cells have been discussed by using an analytical model. The influence of fringe field becomes stronger as the size of a cell decreases. By using the proposed model, the dependency of NEM memory transient characteristics on cell parameters has been evaluated.

Heat Characteristics Analysis of Synchronous Reluctance Motor Using FEM Coupled Electromagnetic Field and Thermal Field

  • Lee, Jung-Ho;Jeon, Ah-Ram
    • Journal of Magnetics
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    • v.15 no.3
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    • pp.138-142
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    • 2010
  • This paper reports the development of an analysis method in a synchronous reluctance motor (SynRM) using the finite element method (FEM) coupled with the electromagnetic field of the Preisach model, which represents an additional thermal source due to hysteresis loss and a thermal field. This study focused on thermal analysis relative to hysteresis and copper losses in a SynRM.

Analysis of Nutrient Dynamics and Development of Model for Estimating Nutrient Loading from Paddy Field

  • Jeon, Ji-Hong;Yoon, Chun-G.;Hwang, Ha-Sun;Jung, Kwang-Wook
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.45 no.7
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    • pp.57-69
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    • 2003
  • To evaluate nutrient dynamics with different fertilization in paddy field and develop water quality model, mass balance analysis was performed during growing season of 2001-2002 in field experimental plots irrigated with groundwater. As a result of water balance analysis, most of outflow was surface drainage as about half of total outflow and about 500mm was lost by evapotranspiration. The water budget was well balanced. The runoff from paddy field was influenced by rainfall and forced drain. Especially runoff during early cultural periods more depends on the forced drain. As a result of mass balance analysis, most of nutrient was input by fertilization and lost by plant uptake. Significant amount of nitrogen were supplied by precipitation and input from upper paddy field, comprising 12%∼28% of total inflow. Nutrient loading by surface drainage was occurred showing about 15%∼29% for T-N and 6%∼13% for T-P. The response of rice yield with different fertilization was not significant in this study. Water quality model for paddy field developed using Dirac delta function and continuous source was calibrated and validated to surface water quality monitoring data. It demonstrates good agreement between observed and simulated. The nutrient concentration of surface water at paddy field was significantly influenced by fertilization. During early cultural periods when significant amount of fertilizer was applied, surface drainage from paddy field can cause serious water quality problem. Therefore, reducing surface drainage during fertilization period can reduce nutrient loading from paddy fields. Shallow irrigation, raising the weir height in diked rice fields, and minimizing forced surface drainage are suggested to reduce surface drainage outflow.

Development and Validation of Simulation Model for Traction Power and Driving Torque Prediction of Upland Multipurpose Platform (밭농업용 다목적 플랫폼의 견인동력 및 구동토크 예측을 위한 시뮬레이션 모델 개발 및 검증)

  • Hyeon Ho Jeon;Seung Min Baek;Seung Yun Baek;Yi Su Hong;Taek Jin Kim;Yong Choi;Young Keun Kim;Sang Hee Lee;Yong Joo Kim
    • Journal of Drive and Control
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    • v.20 no.1
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    • pp.16-26
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    • 2023
  • Although the upland field area of Korea is high as 44.8%, the platform optimized for the upland field is insufficient. It is necessary to develop an optimized platform for the upland field because the upland field environment is an irregular environment with many slopes. In addition, due to the characteristic of agricultural operations, the traction power and torque of the platform have to be sufficient. Therefore, in this study, a simulation model that can predict the traction power and driving torque of a crawler-type platform for the upland field was developed and validated using the specifications of the crawler platform. The simulation model was developed using Amesim (19.1, Siemens, Germany). The development of the model was conducted using the specifications of the platform. A measurement system was developed to validate the simulation model. The traction power data of the simulation model was validated with the traction force and vehicle speed. The driving torque data of the simulation model was validated with the torque of the sprocket on the crawler system. As a result of the analysis, the error between measurement and simulation results occurred within 10%, and it was determined that the traction power and driving torque prediction of the crawler platform using this model was possible.

Development of Mechanized System Model for the Production of Winter Cereal Wrap Silage in the Fallow Paddy Field (1) - Modelling mechanized roughage production system and previewing its profit - (답리작 맥류 랩-사일리지의 기계화 시스템 모델 개발(1) - 맥류 조사료 기계화 시스템 모델과 기대효과 -)

  • 김혁주;박경규;서종혁;신승열
    • Journal of Biosystems Engineering
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    • v.28 no.2
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    • pp.107-116
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    • 2003
  • One of the major obstructing factors against managing dairy farm in Korea has been a shortage of roughage supply. The shortage of roughage caused excessive use of concentrate feed increase of production cost and deterioration of cattle quality. In order to solve this problem for the dairy farm, use of fallow paddy field in the winter was feasible to produce barley and rye forage during the winter season after harvesting of in. And many desirable effects of raising cattle productivity, saving dollars for importing feeds and providing huge ground for manure spreading are expected by enlarged local roughage production. Through analysing the forage producing process, a mechanized operation model was developed for dairy farms in Korea. Its model consists of seeding models(till, no-till model) and harvesting models(wrap silage, traditional silage, hay model). Currently, the government policies are being executed to urge producing winter cereal wrap silage in the fallow paddy field with various supporting programs. Ant with enlarged local forage production, it is possible to make a new huge market fur forage producing machine.

PHASE FIELD MODELING OF CRYSTAL GROWTH

  • Sekerka, Robert F.
    • Proceedings of the Korea Association of Crystal Growth Conference
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    • 1996.06a
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    • pp.139-156
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    • 1996
  • The phase field model is becoming the model of choice for the theoretical study of the morphologies of crystals growth from the melt. This model provides an alternative approach to the solution of the classical (sharp interface) model of solidification by introducing a new variable, the phase field, Ø, to identify the phase. The variable Ø takes on constant values in the bulk phases and makes a continuous transition between these values over a thin transition layer that plays the role of the classically sharp interface. This results in Ø being governed by a new partial differential equation(in addition to the PDE's that govern the classical fields, such as temperature and composition) that guarantees (in the asymptotic limit of a suitably thin transition layer) that the appropriate boundary conditions at the crystal-melt interface are satisfied. Thus, one can proceed to solve coupled PDE's without the necessity of explicitly tracking the interface (free boundary) that would be necessary to solve the classical (sharp interface) model. Recent advances in supercomputing and algorithms now enable generation of interesting and valuable results that display most of the fundamental solidification phenomena and processes that are observed experimentally. These include morphological instability, solute trapping, cellular growth, dendritic growth (with anisotropic sidebranching, tip splitting, and coupling to periodic forcing), coarsening, recalescence, eutectic growth, faceting, and texture development. This talk will focus on the fundamental basis of the phase field model in terms of irreversible thermodynamics as well as it computational limitations and prognosis for future improvement. This work is supported by the National Science Foundation under grant DMR 9211276

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A Study on Estimation Method for $CO_2$ Uptake of Vegetation using Airborne Hyperspectral Remote Sensing

  • Endo, Takahiro;Yonekawa, Satoshi;Tamura, Masayuki;Yasuoka, Yoshifumi
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1076-1080
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    • 2003
  • $CO_2$ uptake of vegetation is one of the important variables in order to estimate photosynthetic activity, plant growth and carbon budget estimations. The objective of this research was to develop a new estimation method of $CO_2$ uptake of vegetation based on airborne hyperspectral remote sensing measurements in combination with a photosynthetic rate curve model. In this study, a compact airborne spectrographic imager (CASI) was used to obtain image over a field that had been set up to study the $CO_2$ uptake of corn on August 7, 2002. Also, a field survey was conducted concurrently with the CASI overpass. As a field survey, chlorophyll a content, photosynthetic rate curve, Leaf area, dry biomass and light condition were measured. The developed estimation method for $CO_2$ uptake consists of three major parts: a linear mixture model, an enhanced big leaf model and a photosynthetic rate curve model. The Accuracy of this scheme indicates that $CO_2$ uptake of vegetation could be estimated by using airborne hyperspectral remote sensing data in combination with a physiological model.

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Multi-layers grid environment modeling for nuclear facilities: A virtual simulation-based exploration of dose assessment and dose optimization

  • Jia, Ming;Li, Mengkun;Mao, Ting;Yang, Ming
    • Nuclear Engineering and Technology
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    • v.52 no.5
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    • pp.956-963
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    • 2020
  • Dose optimization for Radioactive Occupational Personal (ROP) is an important subject in nuclear and radiation safety field. The geometric environment of a nuclear facility is complex and the work area is radioactive, so traditional navigation model and radioactive data field cannot form an effective environment model for dose assessment and dose optimization. The environment model directly affects dose assessment and indirectly affects dose optimization, this is an urgent problem needed to be solved. Therefore, this paper focuses on an environment model used for Dose Assessment and Dose Optimization (DA&DO). We designed a multi-layer radiation field coupling modeling method, and then explored the influence of the environment model to DA&DO by virtual simulation. Then, a simulation test is done, the multi-layer radiation field coupling model for nuclear facilities is demonstrated to be effective for dose assessment and dose optimization through the experiments and analysis.