• Title/Summary/Keyword: Mixed systems

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Mixed Integer Programming (MIP)-based Energy Storage System Scheduling Method for Reducing the Electricity Purchasing Cost in an Urban Railroad System (도시철도 시스템 전기요금 절감을 위한 혼합정수계획법 기반 ESS(에너지저장장치) 스케줄링 기법)

  • Ko, Rakkyung;Kong, Seongbae;Joo, Sung-Kwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.7
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    • pp.1125-1129
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    • 2015
  • Increasing peak load is one of the major concerns about operation of urban railroad systems. Since ESSs (Energy Storage Systems) have a great potential for shaving the peak load, there has been a growing interest in the use of ESS for peak load reduction. Also, ESS can be optimally scheduled to minimize the electricity purchasing cost under a given ToU (Time-of-Use) tariff by taking advantage of electricity price difference between peak and off-peak time. This paper presents a Mixed Integer Programming (MIP)-based ESS scheduling method to minimize the electricity purchasing cost under a ToU tariff for an urban railroad system.

An MILP Approach to a Nonlinear Pattern Classification of Data (혼합정수 선형계획법 기반의 비선형 패턴 분류 기법)

  • Kim, Kwangsoo;Ryoo, Hong Seo
    • Journal of Korean Institute of Industrial Engineers
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    • v.32 no.2
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    • pp.74-81
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    • 2006
  • In this paper, we deal with the separation of data by concurrently determined, piecewise nonlinear discriminant functions. Toward the end, we develop a new $l_1$-distance norm error metric and cast the problem as a mixed 0-1 integer and linear programming (MILP) model. Given a finite number of discriminant functions as an input, the proposed model considers the synergy as well as the individual role of the functions involved and implements a simplest nonlinear decision surface that best separates the data on hand. Hence, exploiting powerful MILP solvers, the model efficiently analyzes any given data set for its piecewise nonlinear separability. The classification of four sets of artificial data demonstrates the aforementioned strength of the proposed model. Classification results on five machine learning benchmark databases prove that the data separation via the proposed MILP model is an effective supervised learning methodology that compares quite favorably to well-established learning methodologies.

A Study on the Intention to Use a Robot-based Learning System with Multi-Modal Interaction (멀티모달 상호작용 중심의 로봇기반교육 콘텐츠를 활용한 r-러닝 시스템 사용의도 분석)

  • Oh, Junseok;Cho, Hye-Kyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.6
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    • pp.619-624
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    • 2014
  • This paper introduces a robot-based learning system which is designed to teach multiplication to children. In addition to a small humanoid and a smart device delivering educational content, we employ a type of mixed-initiative operation which provides enhanced multi-modal cognition to the r-learning system through human intervention. To investigate major factors that influence people's intention to use the r-learning system and to see how the multi-modality affects the connections, we performed a user study based on TAM (Technology Acceptance Model). The results support the fact that the quality of the system and the natural interaction are key factors for the r-learning system to be used, and they also reveal very interesting implications related to the human behaviors.

Considering Claim Costs in Project Time-Cost Mixed Integer Programming Model (클레임코스트를 고려한 프로젝트의 시간-비용 혼합정수계획모형)

  • Kim, Jong-Yul;Kang, Chang-Wook;Hwang, In-Keuk
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.34 no.3
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    • pp.97-105
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    • 2011
  • Previous researches have focused on the efficiency of project execution and the satisfaction of internal customers In view of the fact that a project is successful if any defects are not found in the short-term performance test of the project final outcome. To execute a project that both internal customer and external customer are satisfied in terms of longer-term benefit perspective, the project claim costs (PCC) which may occur for the warranty period of the project final outcome should be considered. We propose a model included PCC to the linear programming between time and cost to expedite a project and perform the validity test by applying the model to an example project. This model and related procedure will contribute to overall project activities' cost reduction by taking preventive actions for PCC.

A Study on Optimization of Hardware Complexity of a FFT Processor for IEEE 802.11n WLAN (IEEE 802.11n WLAN을 위한 FFT 프로세서의 하드웨어 복잡도 최적화에 대한 연구)

  • Choi, Rakhun;Park, Jungjun;Lim, Taemin;Lee, Jinyong;Kim, Younglok
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.4
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    • pp.243-248
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    • 2011
  • A FFT/IFFT processor is the key component for orthogonal frequency division multiplexing (OFDM) systems based IEEE 802.11n wireless local area network (WLAN). There exists many radix algorithms according to the structure of butterfly as FFT sub-module, each has the pros and cons on hardware complexity. Here, mixed radix algorithms for 64 and 128 FFT/IFFT processors are proposed, which reduce hardware complexity by using mixture of radix-23 and radix-4 algorithms. The proposed algorithm finish calculation within 3.2${\mu}s$ in order to meet IEEE 802.11n standard requirements and it has less hardware complexity compared with conventional algorithms.

A Method for Learning the Specialized Meaning of Terminology through Mixed Word Embedding (혼합 임베딩을 통한 전문 용어 의미 학습 방안)

  • Kim, Byung Tae;Kim, Nam Gyu
    • The Journal of Information Systems
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    • v.30 no.2
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    • pp.57-78
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    • 2021
  • Purpose In this study, first, we try to make embedding results that reflect the characteristics of both professional and general documents. In addition, when disparate documents are put together as learning materials for natural language processing, we try to propose a method that can measure the degree of reflection of the characteristics of individual domains in a quantitative way. Approach For this study, the Korean Supreme Court Precedent documents and Korean Wikipedia are selected as specialized documents and general documents respectively. After extracting the most similar word pairs and similarities of unique words observed only in the specialized documents, we observed how those values were changed in the process of embedding with general documents. Findings According to the measurement methods proposed in this study, it was confirmed that the degree of specificity of specialized documents was relaxed in the process of combining with general documents, and that the degree of dissolution could have a positive correlation with the size of general documents.

System reduction using response matching method in dominant frequency range (우세 주파수 영역에서의 응답 매칭 방법을 이용한 시스템 저차화)

  • 강동석;김수중
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.150-154
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    • 1987
  • A new mixed approximation method is proposed for the model reduction of high order linear and time-invariant dynamic systems. This method makes allowance for stability and feature retention simultaneously. After defining dominant frequency range which affects relative stability of systems, a part of denominator is obtained using the energy dispersion method and tests are obtained using dominant frequency response matching method. The proposed method reflects the characteristic of the original system more faithfully and guarantees absolute stability of the reduction model.

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MIXED PROBLEM OF SEMILINEAR HYPERBOLIC SYSTEMS

  • EI-Sayed, Ahmed M.
    • Kyungpook Mathematical Journal
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    • v.27 no.1
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    • pp.43-46
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    • 1987
  • In this paper we consider the semilinear hyperbolic symmetric system of the first-order. The existence and uniqueness of the solution are proved, under certain conditions, some properties of the solution are investigated.

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