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An Intelligent Fault Detection and Diagnosis Approaches using Parzen Density Estimation and Multi-class SVMs (Parzen Density Estimation과 Multi-class SVM을 이용한 지능형 고장진단 방법)

  • Seo, Kwang-Kyu
    • Journal of the Korea Safety Management & Science
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    • v.11 no.1
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    • pp.87-91
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    • 2009
  • 본 논문은 상대적으로 새로운 기법인 Parzen Density Estimation과 Multi-class SVM을 이용한 지능형 고장 탐색과 진단 방법을 제안하고 있다. 본 연구에서는 롤링 베어링을 대상으로 고장을 탐색하고 진단하기 위한 방법을 제안하는데 Parzen Density Estimation과 Multi-class SVM은 고장 클래스를 잘 표현할 수 있다. Parzen Density Estimation은 새로운 패턴 데이터의 거절과 알려진 데이터 패턴의 밀도의 평가에 의해 새로운 패턴을 찾아낼 수 있고, Multi-class SVM 기반의 방법은 여러 클래스의 고장을 support vector로 표현하여 고장 패턴을 찾아낼 수 있다. 본 연구에서는 실제의 다중 클래스를 가지는 롤링 베어링의 고장 데이터를 사용하여 고장 패턴을 탐색하는 과정을 보여주는데, 커널함수의 적절한 파라미터의 선택에 의한 Multi-class SVM 기반의 방법이 multi-layer perceptron이나 Parzen Density Estimation 방법보다 우수함을 입증한다.

Current Situation of Rural Multi-Cultural Families and the Welfare challenge (농촌 다문화가족의 실태 및 복지적 과제)

  • Kim, Kyoung-Min;Jung, Ki-Ok;Chang, Sae-Cheol
    • Journal of Agricultural Extension & Community Development
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    • v.17 no.3
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    • pp.505-526
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    • 2010
  • Because of the international marriage of bachelors in the rural areas, there have been grown many foreign residents, the Multi-cultural families. For the improvement of multi-cultural families, the first important thing is their early settlement in Korea. For those foreigners' settlement, systematic approach to Korean education program is necessary. Second, multi-cultural families need support to maintain their basic lives safely. Agricultural education for the next generation is, moreover, also important for them. Third, healthy growth and training for the formation of the Self-Identity of their children are needed for those multi-cultural families too. Education for bring up their children as the global talents, the cost of private education and the one of bringing up children also have to be supported. Fourth, the improvement of understanding multicultural families is significant. Development and education of various programs to participate multi-cultural families are also required.

A Maximum Likelihood Decoding Scheme Based on Breadth-First Searching for Multi-Input Multi-Output Systems (여러 입력 여러 출력 시스템에 알맞도록 너비를 먼저 탐색하는 가장 비슷함 복호 방식)

  • Kang, Hyun-Gu;Song, Iick-Ho;An, Tae-Hun;Kim, Yun-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.1C
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    • pp.34-42
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    • 2007
  • The sphere decoder (SD) has recently been proposed to perform maximum likelihood (ML) decoding for multi-input multi-output systems. Employing a 'breadth-first' searching algorithm for closet points in a lattice, we propose a novel ML decoding scheme for multi-input multi-output systems. Simulation results show that the proposed scheme has the same bit error rate performance as the conventional ML decoders while allowing significantly lower computational burden than the SD.

A Study of Method Multi-Streaming Internet Radio Platform Design Method (Multi-Streaming Internet Radio Platform 설계방안에 대한 연구)

  • Kim, Jong-duk;Kim, Young-kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.105-107
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    • 2009
  • In this paper we research Multi-Streaming Internet Radio Platform to broadcast music contents in large outlet and between spaces. we concentrate on methods how to configure NAT for user's using Internet, Application for Multi-Channel Connection and Hardware Path for Multi Stream.

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New Hypervisor Improving Network Performance for Multi-core CE Devices

  • Hong, Cheol-Ho;Park, Miri;Yoo, Seehwan;Yoo, Chuck
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.4
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    • pp.231-241
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    • 2011
  • Recently, system virtualization has been applied to consumer electronics (CE) such as smart mobile phones. Although multi-core processors have become a viable solution for complex applications of consumer electronics, the issue of utilizing multi-core resources in the virtualization layer has not been researched sufficiently. In this paper, we present a new hypervisor design and implementation for multi-core CE devices. We concretely describe virtualization methods for a multi-core processor and multi-core-related subsystems. We also analyze bottlenecks of network performance in a virtualization environment that supports multimedia applications and propose an efficient virtual interrupt distributor. Our new multi-core hypervisor improves network performance by 5.5 times as compared to a hypervisor without the virtual interrupt distributor.

Simulating the Response of a 10-Storey Steel-Framed Building under Spreading Multi-Compartment Fires

  • Jiang, Jian;Zhang, Chao
    • International Journal of High-Rise Buildings
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    • v.7 no.4
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    • pp.389-396
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    • 2018
  • This paper presents a numerical investigation on the structural response of a multi-story building subjected to spreading multi-compartment fires. A recently proposed simple fire model has been used to simulate two spreading multi-compartment fire scenarios in a 10-story steel-framed office building. By assuming simple temperature rising and distribution profiles in the fire exposed structural components (steel beams, steel column and concrete slabs), finite element simulations using a three-dimensional structural model has been carried out to study the failure behavior of the whole structure in two multi-compartment fire conditions and also in a standard fire condition. The structure survived the standard fire but failed in the multi-compartment fire. Whilst more accurate fire models and heat transfer models are needed to better predict the behaviors of structures in realistic fires, the current study based on very simple models has demonstrated the importance and necessity of considering spreadingmulti-compartment fires in fire resistance design of multi-story buildings.

A Study on Multi-hop Network Design for LoRaWAN Communication (LoRaWAN 통신용 Multi-hop 네트워크 설계에 관한 연구)

  • Kim, Minyoung;Jeon, Hyoung-Goo;Jang, Jongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.129-132
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    • 2019
  • This paper explains the design idea of a multi-Hop network for LoRaWAN. First, the existing LoRaWAN communication method(Single-Hop) will be described based on the standard specification. It then discusses technical considerations when converting from LoRaWAN to a multi-hop network. Finally, we introduce our ideas in this paper.

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AIMS-MUPSA software package for multi-unit PSA

  • Han, Sang Hoon;Oh, Kyemin;Lim, Ho-Gon;Yang, Joon-Eon
    • Nuclear Engineering and Technology
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    • v.50 no.8
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    • pp.1255-1265
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    • 2018
  • The need for a PSA (Probabilistic Safety Assessment) for a multi-unit at a site is growing after the Fukushima accident. Many countries have been studying issues regarding a multi-unit PSA. One of these issues is the problem of many combinations of accident sequences in a multi-unit PSA. This paper deals with the methodology and software to quantify a PSA scenarios for a multi-unit site. Two approaches are developed to quantify a multi-unit PSA. One is to use a minimal cut set approach, and the other is to use a Monte Carlo approach.

Design of Multi-Constellation and Multi-Frequency GNSS SDR with Fully Reconfigurable Functionality

  • Song, Young-Jin;Lee, Hak-beom;Won, Jong-Hoon
    • Journal of Positioning, Navigation, and Timing
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    • v.10 no.2
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    • pp.91-102
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    • 2021
  • In this paper, a fully reconfigurable Software Defined Radio (SDR) for multi-constellation and multi-frequency Global Navigation Satellite System (GNSS) receivers is presented. The reconfigurability with respect to the data structure, variability of signal and receiver parameters, and receiver's internal functionality is presented. The configuration file, that is modified to lead to an entirely different operation of the SDR in response to specific target signal scenarios, directly determines the operating characteristics of the SDR. In this manner, receiver designers can effectively reduce the effort to develop many different combinations of multi-constellation and/or multi-frequency GNSS receivers. Finally, the implementation of the presented fully reconfigurable SDR is included with the experimental processing results such as acquisition, tracking, navigation for the received signals in the realistic fields.

Using Machine Learning to Improve Evolutionary Multi-Objective Optimization

  • Alotaibi, Rakan
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.203-211
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    • 2022
  • Multi-objective optimization problems (MOPs) arise in many real-world applications. MOPs involve two or more objectives with the aim to be optimized. With these problems improvement of one objective may led to deterioration of another. The primary goal of most multi-objective evolutionary algorithms (MOEA) is to generate a set of solutions for approximating the whole or part of the Pareto optimal front, which could provide decision makers a good insight to the problem. Over the last decades or so, several different and remarkable multi-objective evolutionary algorithms, have been developed with successful applications. However, MOEAs are still in their infancy. The objective of this research is to study how to use and apply machine learning (ML) to improve evolutionary multi-objective optimization (EMO). The EMO method is the multi-objective evolutionary algorithm based on decomposition (MOEA/D). The MOEA/D has become one of the most widely used algorithmic frameworks in the area of multi-objective evolutionary computation and won has won an international algorithm contest.