• Title/Summary/Keyword: Model based

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Contour Model based Non-Rigid Moving Object Tracking using Snake Energy Modification (변형된 스네이크 에너지를 통한 외곽선 모델기반의 비강체 물체 추적)

  • 김자영;이주호;정승도;최병욱
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2104-2107
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    • 2003
  • In this paper, we propose the method Model based Non-Rigid Moving Object Tracking. Motion based method becomes difficult to predict precisely when motion gets larger, so that we can solve such difficultly with regarding the moving object as a model. In the model based method, it should be concerned about setting initial model and updating its model in each frame. We used SNAKE in a way to set the initial model, and also proposed a modified SNAKE to handle the previous SNAKE problems. Moreover, with the elliptical setting, we made the initializing process automatically which is highly subject to change in measuring the performance of SNAKE. We used the Hausdorff distance to identify models in each frame. Through our experiments, our Proposed algorithm does effective work in Non-Rigid Moving Object Tracking.

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A Vehicle Routing Model for Multi-Supply Centers Based on Lp-Distance (일반거리산정방법을 이용한 다-물류센터의 최적 수송경로 계획 모델)

  • Hwang, Heung-Suk
    • IE interfaces
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    • v.11 no.1
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    • pp.85-95
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    • 1998
  • This study is focussed on an optimal vehicle routing model for multi-supply centers in two-echelon logistic system. The aim of this study is to deliver goods for demand sites with optimal decision. This study investigated an integrated model using step-by-step approach based on relationship that exists between the inventory allocation and vehicle routing with restricted amount of inventory and transportations such as the capability of supply centers, vehicle capacity and transportation parameters. Three sub-models are developed: 1) sector-clustering model, 2) a vehicle-routing model based on clustering and a heuristic algorithm, and 3) a vehicle route scheduling model using TSP-solver based on genetic and branch-and-bound algorithm. Also, we have developed computer programs for each sub-models and user interface with visualization for major inputs and outputs. The application and superior performance of the proposed model are demonstrated by several sample runs for the inventory-allocation and vehicle routing problems.

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THE PHYSICALLY-BASED SOIL MOISTURE BALANCE MODEL DEVELOPMENT AND APPLICATIONS ON PADDY FIELDS

  • Park, Jae-Young;Lee, Jae-Hyoung
    • Water Engineering Research
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    • v.1 no.3
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    • pp.243-256
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    • 2000
  • This physically-based hydrologic model is developed to calculate the soil-moisture balance on paddy fields. This model consists of three modules; the first is the unsaturated module, the second is the rice evapotranspiration module with SPAC(soil-plant-atmospheric-continuum), and the third is the groundwater and open channel flows based upon the interrehtionship module. The model simulates the hydrlogical processes of infiltration, soil water storage, deep perocolation or echarge to the shallow water table, transpiration and evaporation from the soil surface and also the interrelationship of the groundwater and river flow exchange. To verify the applicability of the developed model, it was applied to the Kimjae Plains, located in the center of the Dongjin river basin in Korea, during the most serious drought season of 1994. The result shows that the estimated water net requirement was 757mm and the water deficit was about 5.9% in this area in 1994. This model can easily evaluate the irrigated water quantity and visualize the common crop demands and soil moisture conditions.

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Continuation-Based Quasi-Steady-State Analysis Incorporating Multiplicative Load Restoration Model (증배형 부하회복 모델을 포함하는 연속법 기반 준정적 해석)

  • Song, Hwa-Chang;Ajjarapu, Venkatanamana
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.2
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    • pp.111-117
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    • 2008
  • This paper presents a new continuation-based quasi-steady-state(CQSS) time-domain simulation algorithm incorporating a multiplicative aggregated load model for power systems. The authors' previous paper introduced a CQSS algorithm, which has the robust convergent characteristic near the singularity point due to the application of a continuation method. The previous CQSS algorithm implemented the load restoration in power systems using the exponent-based load recovery model that is derived from the additive dynamic load model. However, the reformulated exponent-based model causes the inappropriate variation of short-term load characteristics when switching actions occur, during time-domain simulation. This paper depicts how to incorporate a multiplicative load restoration model, which does not have the problem of deforming short-term load characteristics, into the time simulation algorithm, and shows an illustrative example with a 39-bus test system.

Harmonization of IFC 3D Building Model Standards and ISO/STEP AP202 Drawing Standards for 2D Shape Data Representation (IFC 3차원 건축모델표준과 ISO/STEP AP202도면표준의 2차원 형상정보 연계방안)

  • Won, Ji-Sun;Lim, Kyoung-Il;Kim, Seong-Sig
    • Korean Journal of Computational Design and Engineering
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    • v.11 no.6
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    • pp.429-439
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    • 2006
  • The purpose of this study is to support the integration from current 2D drawing-based design to future 3D model-based design. In this paper, an important theme is the combination between the STEP-based 2D drawing standards (i.e., AP202) and the IFC-based 3D building model standards. To achieve the purpose, two methodologies are proposed as follows: the development of IFC extension model for the 2D shape data representation by harmonizing ISO/STEP AP202; and the development of mapping solution between IFC 2D extension model and KOSDIC by constructing the exchange scenario for 2D shape data representation. It is expected that the proposed IFC2X2 2D extension model and mapping solution will offer the basis of development of the integrated standards model in AEC industry.

Design of LFT-Based T-S Fuzzy Controller for Model-Following using LMIs (선형 행렬부등식과 분해법을 이용한 퍼지제어기 설계)

  • 손홍엽;이희진;조영완;김은태;박민용
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.123-128
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    • 1998
  • This paper proposes design of LFT-based fuzzy controllers for model-following, which are better than the previous input-output linearization controllers, which are not able to follow the model system states and which do not guarantee the stability of all states. The method proposed in this paper provides a LFT-based Takagi-Sugeno(T-S) fuzzy controller with guaranteed stability and model-following via the following steps: First, using LFT(Linear Fractional Transformation) and T-S fuzzy model, controllers, are obtained. Next, error dynamics are obtained for model-following, and errors go to 0(zero). Finally, a T-s fuzzy controller that can stabilizxe the system with the requirement on the control input satisfied is obtained by solving the LMIs with the MATLAB LMI Control Toolbox and a model-following controller is obtained. Simulations are performed for the LFT-based T-S fuzzy controller designed by the proposed method, which show better performance than the results of input-out ut linearization controller.

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A Study on Aggregate Particle Packing Models for Development of DEM based Model (DEM을 이용한 골재다짐모형 개발을 위한 기존 모형 분석)

  • Yun, Tae Young;Kim, Ki Hyun;Yoo, Pyeong Jun;Kim, Yeon Bok
    • International Journal of Highway Engineering
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    • v.15 no.5
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    • pp.31-45
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    • 2013
  • PURPOSES : Determination of particle packing model variables that can be used for formulation of new DEM based particle packing model by examining existing particle packing models METHODS : Existing particle packing models are thoroughly examined by analytical reformulation and sensitivity analysis in order to set up DEM based new particle packing model and to determine its variables. All model equations considered in this examination are represented with consistent expressions and are compared to each others to find mathematical and conceptual similarity in expressions. RESULTS : From the examination of existing models, it is observed that the models are very similar in their shapes although the derivation of the models may be different. As well, it is observed that variables used in some existing models are comprehensive enough to estimate particle packing but not applicable to DEM simulation. CONCLUSIONS : A set of variables that can be used in DEM based particle packing model is determined.

Customer-based Recommendation Model for Next Merchant Recommendation

  • Bayartsetseg Kalina;Ju-Hong Lee
    • Smart Media Journal
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    • v.12 no.5
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    • pp.9-16
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    • 2023
  • In the recommendation system of the credit card company, it is necessary to understand the customer patterns to predict a customer's next merchant based on their histories. The data we want to model is much more complex and there are various patterns that customers choose. In such a situation, it is necessary to use an effective model that not only shows the relevance of the merchants, but also the relevance of the customers relative to these merchants. The proposed model aims to predict the next merchant for the customer. To improve prediction performance, we propose a novel model, called Customer-based Recommendation Model (CRM), to produce a more efficient representation of customers. For the next merchant recommendation system, we use a synthetic credit card usage dataset, BC'17. To demonstrate the applicability of the proposed model, we also apply it to the next item recommendation with another real-world transaction dataset, IJCAI'16.

Retrieval Model Based on Word Translation Probabilities and the Degree of Association of Query Concept (어휘 번역확률과 질의개념연관도를 반영한 검색 모델)

  • Kim, Jun-Gil;Lee, Kyung-Soon
    • The KIPS Transactions:PartB
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    • v.19B no.3
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    • pp.183-188
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    • 2012
  • One of the major challenge for retrieval performance is the word mismatch between user's queries and documents in information retrieval. To solve the word mismatch problem, we propose a retrieval model based on the degree of association of query concept and word translation probabilities in translation-based model. The word translation probabilities are calculated based on the set of a sentence and its succeeding sentence pair. To validate the proposed method, we experimented on TREC AP test collection. The experimental results show that the proposed model achieved significant improvement over the language model and outperformed translation-based language model.

A Machine Learning-based Customer Classification Model for Effective Online Free Sample Promotions (온라인 무료 샘플 판촉의 효과적 활용을 위한 기계학습 기반 고객분류예측 모형)

  • Won, Ha-Ram;Kim, Moo-Jeon;Ahn, Hyunchul
    • The Journal of Information Systems
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    • v.27 no.3
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    • pp.63-80
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    • 2018
  • Purpose The purpose of this study is to build a machine learning-based customer classification model to promote customer expansion effect of the free sample promotion. Specifically, the proposed model classifies potential target customers who are expected to purchase the products included in the free sample promotion after receiving the free samples. Design/methodology/approach This study proposes to build a customer classification model for determining customers suitable for providing free samples by using various machine learning techniques such as logistic regression, multiple discriminant analysis, case-based reasoning, decision tree, artificial neural network, and support vector machine. To validate the usefulness of the proposed model, we apply it to a real-world free sample-based target marketing case of a Korean major cosmetic retail company. Findings Experimental results show that a machine learning-based customer classification model presents satisfactory accuracy ranging from 70% to 75%. In particular, support vector machine is found to be the most effective machine learning technique for free sample-based target marketing model. Our study sheds a light on customer relationship management strategies using free sample promotions.