• 제목/요약/키워드: NICE

검색결과 348건 처리시간 0.023초

한국인 더미모델을 이용한 시트진동 시뮬레이션과 실차시험의 비교분석 (Comparison of Vehicle Experiment and Computer Simulation of Seat Vibration using Korean Dummy Model)

  • 유완석;김정훈;박동운;이순영
    • 한국자동차공학회논문집
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    • 제12권1호
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    • pp.145-152
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    • 2004
  • This paper compares seat vibrations of a small passenger car and a SUV. The results also include the comparison of the human body accelerations and the ride values, such as the component ride values, and SEAT values of 12 axis accelerations obtained at the human body and seat track. The ride comfort evaluation is usually carried out by experiments of real cars which are expensive and sometimes may contain errors by passenger's postures. Simulations by computer, on the other hand, enable to solve these problems when the accuracy is proven. This paper, thus, also shows the correlation of human body vibration between experiments and computer simulations. For the computer simulation, korean dummy models are developed from the Hybrid III models by scaling the body data of Hybrid III to those of Korean men and women. From the comparison between the test data and simulation data, a nice correlation in trends was shown.

차등화 서비스를 위한 리눅스 커널 스케줄러 설계 및 구현 (Design and Implementation of Linux Kernel Scheduler For Differentiated Services)

  • 김다현;송진석;이민석
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2007년도 한국컴퓨터종합학술대회논문집 Vol.34 No.1 (B)
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    • pp.279-283
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    • 2007
  • IT와 네트워크의 발전에 힘입어 많은 서비스를 인터넷을 통해서 제공하고 있다. 인터넷 사용자가 급증하면서 수많은 서비스 요청에 대한 효과적인 처리 방법에 많은 관심이 집중되고 있다. 본 논문에서는 라우터에서 패킷을 대상으로 사용된 Percentile 스케줄 기법을 리눅스 커널 스케줄러에 적용하여, 다양한 서비스 요청에 대해서 적절한 기준에 따라 다른 등급으로 분류하고 차등적인 서비스를 제공하고자 하는 연구를 진행하였다. 논문에서는 리눅스의 기본 스케줄러에 nice()시스템 콜을 이용하여 차등화 스케줄을 적용한 것과 Percentile 스케줄 기법을 리눅스 커널 스케줄러에 적용한 것을 비교 실험하였다. Percentile 스케줄 기법을 적용한 경우 기존의 리눅스 커널에 비해서 등급에 따른 응답시간의 차이가 명확한 것을 관찰할 수 있었다.

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Joint Scheduling and Rate Optimization in Multi-channel Multi-radio Wireless Networks with Contention-based MAC

  • Bui, Dang Quang;Choi, Myeong-Gil;Hwang, Won-Joo
    • 한국멀티미디어학회논문지
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    • 제11권12호
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    • pp.1716-1721
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    • 2008
  • Currently, Wireless Networks have some nice characteristics such as multi-hop, multi-channel, multi-radio, etc but these kinds of resources are not fully used. The most difficulty to solve this issue is to solve mixed integer optimization. This paper proposes a method to solve a class of mixed integer optimization for wireless networks by using AMPL modeling language with CPLEX solver. The result of method is scheduling and congestion control in multi-channel multi-radio wireless networks.

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A NEW QUASI-NEWTON METHOD BASED ON ADJOINT BROYDEN UPDATES FOR SYMMETRIC NONLINEAR EQUATIONS

  • Cao, Huiping
    • 대한수학회지
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    • 제53권6호
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    • pp.1371-1389
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    • 2016
  • In this paper, we propose a new rank two quasi-Newton method based on adjoint Broyden updates for solving symmetric nonlinear equations, which can be seen as a class of adjoint BFGS method. The new rank two quasi-Newton update not only can guarantee that $B_{k+1}$ approximates Jacobian $F^{\prime}(x_{k+1})$ along direction $s_k$ exactly, but also shares some nice properties such as positive deniteness and least change property with BFGS method. Under suitable conditions, the proposed method converges globally and superlinearly. Some preliminary numerical results are reported to show that the proposed method is effective and competitive.

웹기반 신용교육에서 학습자의 몰입이 학습효과에 미치는 영향분석 (Analysis on the Educational Effects of Flow in Web-based Credit Education)

  • 이명근;김형근
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2011년도 제44차 하계학술발표논문집 19권2호
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    • pp.257-259
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    • 2011
  • 본 연구는 웹기반 신용교육에서 학습자의 몰입과 학습효과간의 관계를 분석하여 이를 기반으로 프로그램의 기획, 설계에 있어 시사점을 제공하기 위한 연구이다. 기존 연구 결과에 기초하여 웹기반 신용교육에서 몰입에 영향을 미치는 영향요인들을 학습자의 자기효능감, 상호작용성, 프로그램 유용성으로 정리하고, 몰입수준, 학습효과간에 어떠한 인과적 관계가 있는지 규명하였다. 분석결과 첫째, 상호작용성과 프로그램 유용성이 몰입수준, 학업만족도, 학습전이도 등과 상관관계가 높은 것으로 나타났다. 둘째, 몰입 영향요인으로 정리된 자기효능감, 상호작용성, 프로그램 유용성은 모두 몰입수준에 유의한 영향을 주는 것으로 나타났다. 셋째, 몰입 영향요인 중 상호작용성과 프로그램 유용성은 몰입수준 촉진을 매개로 하여 학습효과에 긍정적인 영향을 미치는 것으로 밝혀졌다.

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Hyperinvariant Subspaces for Some 2 × 2 Operator Matrices, II

  • Jung, Il Bong;Ko, Eungil;Pearcy, Carl
    • Kyungpook Mathematical Journal
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    • 제59권2호
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    • pp.225-231
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    • 2019
  • In a previous paper, the authors of this paper studied $2{\times}2$ matrices in upper triangular form, whose entries are operators on Hilbert spaces, and in which the the (1, 1) entry has a nontrivial hyperinvariant subspace. We were able to show, in certain cases, that the $2{\times}2$ matrix itself has a nontrivial hyperinvariant subspace. This generalized two earlier nice theorems of H. J. Kim from 2011 and 2012, and made some progress toward a solution of a problem that has been open for 45 years. In this paper we continue our investigation of such $2{\times}2$ operator matrices, and we improve our earlier results, perhaps bringing us closer to the resolution of the long-standing open problem, as mentioned above.

SHIFTED TABLEAU SWITCHINGS AND SHIFTED LITTLEWOOD-RICHARDSON COEFFICIENTS

  • Choi, Seung-Il;Nam, Sun-Young;Oh, Young-Tak
    • 대한수학회지
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    • 제56권4호
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    • pp.947-984
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    • 2019
  • We provide two shifted analogues of the tableau switching process due to Benkart, Sottile, and Stroomer; the shifted tableau switching process and the modified shifted tableau switching process. They are performed by applying a sequence of elementary transformations called switches and shares many nice properties with the tableau switching process. For instance, the maps induced from these algorithms are involutive and behave very nicely with respect to the lattice property. We also introduce shifted generalized evacuation which exactly agrees with the shifted J-operation due to Worley when applied to shifted Young tableaux of normal shape. Finally, as an application, we give combinatorial interpretations of Schur P- and Schur Q-function related identities.

머신러닝 기반 멀티모달 센싱 IoT 플랫폼 리소스 관리 지원 (Machine learning-based Multi-modal Sensing IoT Platform Resource Management)

  • 이성찬;성낙명;이석준;윤재석
    • 대한임베디드공학회논문지
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    • 제17권2호
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    • pp.93-100
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    • 2022
  • In this paper, we propose a machine learning-based method for supporting resource management of IoT software platforms in a multi-modal sensing scenario. We assume that an IoT device installed with a oneM2M-compatible software platform is connected with various sensors such as PIR, sound, dust, ambient light, ultrasonic, accelerometer, through different embedded system interfaces such as general purpose input output (GPIO), I2C, SPI, USB. Based on a collected dataset including CPU usage and user-defined priority, a machine learning model is trained to estimate the level of nice value required to adjust according to the resource usage patterns. The proposed method is validated by comparing with a rule-based control strategy, showing its practical capability in a multi-modal sensing scenario of IoT devices.

Hoesimgok (悔心曲, 回心曲, Regretting song) may affect peace of mind through distinct musical interaction

  • Kyung-Ja, Ko;Hyun-Yong, Cho
    • 셀메드
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    • 제13권2호
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    • pp.1.1-1.5
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    • 2023
  • The purpose of this study is to propose a role as healing music through Hoesimgok's interaction. The song "Hoesimgok (悔心曲, 回心曲, Regretting Song)" means a song that expresses regret. There's nothing more desperate than my parents in a song of regret. Your heart for your late parents must be the thing you regret the most. We always think that we should be filial to my parents, but we can't. We are under a lot of stress due to situations and environments that are unintentionally not filial. Audiences who show self-reflection on their filial piety become emotional identities with those who sing with the lyrics and actions of songs and music. Therefore, Hoesimgok is a song and a prayer. Music exerts a range of powerful biological effects beyond nice sound and furthermore, it is expanding to music therapy. It can also bring about peace of mind by regulating sympathetic nervous system excitation. Our results suggest that Hoesimgok can have the effect of making listeners as well as singers happy.

ResNet 모델을 이용한 일상생활 소리 예측 및 알림 애플리케이션 (ResNet Model Based Real Life Sound Event Prediction and Notification Application)

  • 박유진;정은이;신지혜;박태정;양회석
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2020년도 추계학술발표대회
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    • pp.1004-1007
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    • 2020
  • 본 논문에서는 청각 장애인이 가정에서 듣지 못해 발생하는 낭비와 위험을 미리 예방하기 위하여 가정에서 현재 발생하고 있는 소리를 알려주는 시스템을 구현하였다. 무지향성 마이크로 일상 소리 감지 후 음향 데이터에서 Mel-Spectogram 특징 벡터를 추출하여 Convolutional Neural Network(CNN) 모델의 Resnet 알고리즘을 진행한다. 서버에서 소리에 대한 분석을 진행한 후 그 결과를 안드로이드에서 실시간으로 5 초마다 확인하여 사용자에게 알림 서비스를 제공한다. 이를 통해 낭비를 줄이고 위험에 대처할 수 있게 한다. 청각 장애인의 소리에 대한 접근성을 다양한 측면으로 고려해야 한다는 사회적 인식을 확산시키고자 한다.