• Title/Summary/Keyword: A horizon

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Taxonomical Classification of Jangho Series (장호통의 분류)

  • Song, Kwan-Cheol;Hyun, Byung-Geun;Sonn, Yeon-Kyu;Zhang, Yong-Seon;Park, Chan-Won
    • Korean Journal of Soil Science and Fertilizer
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    • v.42 no.5
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    • pp.330-335
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    • 2009
  • This study was conducted to reclassify Jangho series based on the second edition of Soil Taxonomy : A Basic System of Soil Classification for Making and Interpreting Soil Surveys. Morphological properties of typifying pedon of Jangho series were investigated and physico-chemical properties were analyzed according to Soil Survey Laboratory Methods Manual. The typifying pedon of Jangho series has very dark grayish brown (10YR 3/2) gravelly silt loam A horizon (0~14 cm), very dark brown (7.5YR 3/2) silty clay BAt horizon (14~31 cm), dark brown (7.5YR 3/4) silty clay Bt1 horizon (31~58 cm), brown (7.5YR 4/4) silty clay Bt2 horizon (58~90 cm), and brown (7.5YR 4/4) clay Bt3 (90~120 cm) horizon. That is developed on river terraces. The typifying pedon has an argillic horizon from a depth of 14 to more than 120 cm and a base saturation (sum of cations) of less than 35% at 125 cm below the upper boundary of the argillic horizon. That can be classified as Ultisol. The typifying pedon has 0.9 % or more organic carbon in the upper 15 cm of the argillic horizon, and can be classified as Humult, which is reported for the first time in Korea. That does not have fragipan, kandic horizon, sombric horizon, plinthite, etc. in the given depths, and keys out as Haplohumult. Also that meets the requirements of Typic Haplohumult. That has 35 % or more clay at the particle-size control section, and has mesic soil temperature regime. Jangho series can be classified as fine, mixed, mesic family of Typic Haplohumults, not as fine silty over clayey, mixed, mesic family of Mollic Hapludalfs.

Performance Improvement of Low-cost DR/GPS for Land Navigation using Sigma Point Based RHKF Filter

  • Cho, Seong-Yun;Choi, Wan-Sik
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1450-1455
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    • 2005
  • This paper describes a DR construction for land navigation and the sigma point based receding horizon Kalman FIR (SPRHKF) filter for DR/GPS hybrid navigation system. A simple DR construction is adopted to improve the performance both of the pure land DR navigation and the DR/GSP hybrid navigation system. In order to overcome the flaws of the EKF, the SPKF is merged with the receding horizon strategy. This filter has several advantages over the EKF, the SPKF, and the RHKF filter. The advantages include the robustness to the system model uncertainty, the initial estimation error, temporary unknown bias, and etc. The computational burden is reduced. Especially, the proposed filter works well even in the case of exiting the unmodeled random walk of the inertial sensors, which can be occurred in the MEMS inertial sensors by temperature variation. Therefore, the SPRHKF filter can provide the navigation information with good quality in the DR/GPS hybrid navigation system for land navigation seamlessly.

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Condition based age replacement policy of used item

  • Lim, J.H.;Lipi, T.F.;Zuo, M.J.
    • International Journal of Reliability and Applications
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    • v.12 no.2
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    • pp.131-143
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    • 2011
  • In most of literatures of age replacement policy, the authors consider the case that a new item starts operating at time zero and is to be replaced by new one at time T. It is, however, often to purchase used items because of the limited budget. In this paper, we consider age replacement policy of a used item whose age is $t_0$. The mathematical formulas of the expected cost rate per unit time are derived for both infinite-horizon case and finite-horizon case. For each case, we show that the optimal replacement age exists and is finite and investigate the effect of the age of the used item.

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Feasible and Invariant Sets For Input Constrained Linear Parameter Varying Systems

  • Lee, Young-Il
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1911-1916
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    • 2003
  • Parameter set of an LPV system is divided into a number of subsets so that robust feedback gains may be designed for each subset of parameters. A concept of quasi-invariant set is introduced, which allows finite steps of delay in reentrance to the set. A feasible and positively invariant set with respect to a gain-scheduled state feedback control can be easily obtained from the quasi-invariant set. A receding horizon control strategy can be derived based on this feasible and invariant set.

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Optimal Inventory-Transportation Policy for the Simplified Physical Distribution System (단순화된 물적유통체계에서의 최적재고-운송정책)

  • 차동원;류춘번
    • Journal of the Korean Operations Research and Management Science Society
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    • v.3 no.1
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    • pp.69-73
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    • 1978
  • This paper deals with the problem of determining the optimal inventory-transportation policy of the idealistically simple inventory-transportation system with the following assumptions: (1) The system consists of a single central warehouse and a single local warehouse, (2) The planning horizon is finite, (3) Demand rate is fixed costant, and so forth. Developed is the algorithm by which to identify the optimal inventory policy which minimizes the total cost incurred to the system over the given finite planning horizon. A sample numerical example is presented along with a discussion of the possible applications of the approach used n the algorithm.

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Planning Horizon Procedure for the Dynamic Lot Size Model with Multiple Production Modes (다종생산방식(多種生産方式)을 갖는 동적(動的) 롯트결정(決定) 문제(問題)에 관한 계획기간(計劃期間) 절차(節次))

  • Ro, Jae-Ho
    • Journal of Industrial Technology
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    • v.5
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    • pp.91-96
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    • 1985
  • This paper presents a problem of a Wagner-Whitin type in which there are several options for setup and production in a period. Theorems that efficiently decrease the computational effort required to find optimal policies and a Planning Horizon Theorem are developed.

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Temporal Fusion Transformers and Deep Learning Methods for Multi-Horizon Time Series Forecasting (Temporal Fusion Transformers와 심층 학습 방법을 사용한 다층 수평 시계열 데이터 분석)

  • Kim, InKyung;Kim, DaeHee;Lee, Jaekoo
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.2
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    • pp.81-86
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    • 2022
  • Given that time series are used in various fields, such as finance, IoT, and manufacturing, data analytical methods for accurate time-series forecasting can serve to increase operational efficiency. Among time-series analysis methods, multi-horizon forecasting provides a better understanding of data because it can extract meaningful statistics and other characteristics of the entire time-series. Furthermore, time-series data with exogenous information can be accurately predicted by using multi-horizon forecasting methods. However, traditional deep learning-based models for time-series do not account for the heterogeneity of inputs. We proposed an improved time-series predicting method, called the temporal fusion transformer method, which combines multi-horizon forecasting with interpretable insights into temporal dynamics. Various real-world data such as stock prices, fine dust concentrates and electricity consumption were considered in experiments. Experimental results showed that our temporal fusion transformer method has better time-series forecasting performance than existing models.

AN ORDER LEVEL INVENTORY MODEL FOR PERISHABLE SEASONAL PRODUCTS WITH DEMAND FLUCTUATION

  • Panda, S.;Basu, M.
    • Journal of applied mathematics & informatics
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    • v.26 no.3_4
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    • pp.615-625
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    • 2008
  • A single item order level inventory model for perishable products is considered in which a constant fraction of on hand inventory spoils per unit time. Demand linearly depends on time. The fluctuation of demand is taken into account to determine minimum total cost of the system. Both discrete and continuous fluctuations are considered. The model is developed and solved analytically for infinite time horizon. A numerical example is presented for finite time horizon. Sensitivity analysis of the model is carried out.

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AmericaView and Broadening Geospatial Applications Horizon: GeorgiaView Case (AmericaView와 원격탐사의 지평확장: GeorgiaView를 사례로)

  • Seong, Jeong-C.;Dodge, Rebecca L.
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2009.04a
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    • pp.138-141
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    • 2009
  • This paper introduces AmericaView, a consortium for promoting remote sensing education, research and applications. As a case study, GeorgiaView is described in more detail. The AmericaView Consortium and StateView Consortia are good examples of collaboration for broadening the horizon of remote sensing applications in South Korea. Furthermore, the AmericaView example represents an opportunity for building a stepping stone to international collaboration.

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An Adaptive Receding Horizon Controller for the Nuclear Steam Generator Water Level

  • Na, Man-Gyun;Sim, Young-Rok
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1479-1482
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    • 2002
  • In this work, a recursive parameter estimation algorithm estimates the mathematical model of steam generators every time step and a receding horizon controller is designed by using this estimated linear steam generator model of which parameters change as time goes on. It was shown through application to a linear model of steam generator that the proposed controller has good performance.

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