• 제목/요약/키워드: Support Layer

검색결과 840건 처리시간 0.027초

70 nm T-게이트를 갖는 InGaAs/InAlAs/GaAs metamorphic HEMT 소자의 제작 및 특성 (Fabrication and Characterization of 70 nm T-gate AlGaAs/InGaAs/GaAs metamorphic HEMT Device)

  • 김성찬;임병옥;백태종;고백석;신동훈;이진구
    • 대한전자공학회논문지SD
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    • 제41권9호
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    • pp.19-24
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    • 2004
  • 우리는 3층 구조의 레지스터와 이중 노광 방법을 이용하여 유전체 지지대를 사용하지 않은 새로운 방법으로 게이트 길이가 70 nm인 T-게이트를 갖는 InGaAs/InAlAs/GaAs metamorphic HEMT 제작 하였다. 게이트 길이가 70 nm이고 게이트 단위폭이 70 ㎛인 2개의 게이트를 가지고 있는 MHEMT는 최대 포화 전류밀도가 최대 포화 전류밀도가 228.6 mA/mm, 상호전달 컨덕턴스는 645 mS/mm, 전류이득차단주파수가 255 GHz인 특성을 보였다.

Human Face Recognition using Multi-Class Projection Extreme Learning Machine

  • Xu, Xuebin;Wang, Zhixiao;Zhang, Xinman;Yan, Wenyao;Deng, Wanyu;Lu, Longbin
    • IEIE Transactions on Smart Processing and Computing
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    • 제2권6호
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    • pp.323-331
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    • 2013
  • An extreme learning machine (ELM) is an efficient learning algorithm that is based on the generalized single, hidden-layer feed-forward networks (SLFNs), which perform well in classification applications. Many studies have demonstrated its superiority over the existing classical algorithms: support vector machine (SVM) and BP neural network. This paper presents a novel face recognition approach based on a multi-class project extreme learning machine (MPELM) classifier and 2D Gabor transform. First, all face image features were extracted using 2D Gabor filters, and the MPELM classifier was used to determine the final face classification. Two well-known face databases (CMU-PIE and ORL) were used to evaluate the performance. The experimental results showed that the MPELM-based method outperformed the ELM-based method as well as other methods.

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모바일 감성 센싱 단말기의 무선 충전을 위한 프로토콜 설계 및 구현 (Design of the Protocol for Wireless Charging of Mobile Emotional Sensing Device)

  • 김선희;임용석;임승옥
    • 대한임베디드공학회논문지
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    • 제7권2호
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    • pp.95-101
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    • 2012
  • In order to supply emotion service depending on user's emotional change in a mobile environment, various researches have been carried. This paper discusses a protocol for wireless charging and an embedded platform of the mobile emotional sensing device which supports that. Wireless charging process relieves user's vexatious task to charge the emotional sensing device. To support wireless charging, there are one basestation and several mobile devices. Basestation coordinates and controls the devices over wireless communication, as well as supplies energy. For 1:N communication we defines the network whose superframe is classified into four categories: a network join superframe, a charging request superframe, a charging superframe and an inactive superframe. Physical layer provides how to supply energy to the devices and communicate physically. Mobile device is equipped with energy charged circuits, which correspond with the defined energy supplying method, as well as bidirectional communication circuits. Mobile device monitors and analyzes its own battery status, and is able to send a request packet to basestation. Therefore, it can be charged before its battery is exhausted without user's perception.

Traffic-based reinforcement learning with neural network algorithm in fog computing environment

  • Jung, Tae-Won;Lee, Jong-Yong;Jung, Kye-Dong
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권1호
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    • pp.144-150
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    • 2020
  • Reinforcement learning is a technology that can present successful and creative solutions in many areas. This reinforcement learning technology was used to deploy containers from cloud servers to fog servers to help them learn the maximization of rewards due to reduced traffic. Leveraging reinforcement learning is aimed at predicting traffic in the network and optimizing traffic-based fog computing network environment for cloud, fog and clients. The reinforcement learning system collects network traffic data from the fog server and IoT. Reinforcement learning neural networks, which use collected traffic data as input values, can consist of Long Short-Term Memory (LSTM) neural networks in network environments that support fog computing, to learn time series data and to predict optimized traffic. Description of the input and output values of the traffic-based reinforcement learning LSTM neural network, the composition of the node, the activation function and error function of the hidden layer, the overfitting method, and the optimization algorithm.

Korean Traditional Music Genre Classification Using Sample and MIDI Phrases

  • Lee, JongSeol;Lee, MyeongChun;Jang, Dalwon;Yoon, Kyoungro
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권4호
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    • pp.1869-1886
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    • 2018
  • This paper proposes a MIDI- and audio-based music genre classification method for Korean traditional music. There are many traditional instruments in Korea, and most of the traditional songs played using the instruments have similar patterns and rhythms. Although music information processing such as music genre classification and audio melody extraction have been studied, most studies have focused on pop, jazz, rock, and other universal genres. There are few studies on Korean traditional music because of the lack of datasets. This paper analyzes raw audio and MIDI phrases in Korean traditional music, performed using Korean traditional musical instruments. The classified samples and MIDI, based on our classification system, will be used to construct a database or to implement our Kontakt-based instrument library. Thus, we can construct a management system for a Korean traditional music library using this classification system. Appropriate feature sets for raw audio and MIDI phrases are proposed and the classification results-based on machine learning algorithms such as support vector machine, multi-layer perception, decision tree, and random forest-are outlined in this paper.

혈액영상에서 병리진단을 위한 적혈구 세포의 자동분류에 관한 연구 (A Study on Automatic Classification System of Red Blood Cell for Pathological Diagnosis in Blood Digitial Image)

  • 김경수;김동현
    • 한국컴퓨터정보학회논문지
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    • 제4권1호
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    • pp.47-53
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    • 1999
  • 의학분야에서 컴퓨터는 병원에서 발생하는 각종 업무데이터의 전산화에서 진단을 위해 사용하는 검사 의료기기들의 자동화, 그리고, 각종 의학영상들을 디지털화하여 처리하는 단계까지 활발하게 활용되고 있는 실정이다. 이러한 시점에서 본 논문에서는 병원의 임상병리과에서 늘어나고 있는 혈액검사를 자동화하기 위한 것으로 혈구영상으로부터 적혈구를 분석하여 정상세포를 비롯한 비정상세포를 16부류로 나누어 분류하였다. 이를위해 UNL푸리에 특징과 불변 모멘트 알고리즘을 사용하여 세그먼트된 적혈구 영상으로부터 특징을 추출하고 이를 인식하기 위한 다단계 신경망을 구축하였다. 실제 임상에서 10명의 환자를 대상으로 실험한 결과 검사자가 참조가능 형태의 결과를 얻을 수 있었다.

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A Novel Scheme for Seamless Hand-off in WMNs

  • Vo, Hung Quoc;Kim, Dae-Sun;Hong, Choong-Seon;Lee, Sung-Won;Huh, Eui-Nam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제3권4호
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    • pp.399-422
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    • 2009
  • Although current wireless mesh network (WMN) applications experience a perceptually uninterrupted hand-off, their throughput after the hand-off event may be significantly degraded due to the low available bandwidth of the mobile client's new master. In this paper, we propose a novel mobility management scheme for 802.11-based WMNs that enables both seamless hand-off for transparent communications, and bandwidth awareness for stable application performance after the hand-off process. To facilitate this, we (i) present a new buffer moment in support of the fast Layer-2 hand-off mechanism to cut the packet loss incurred in the hand-off process to zero and (ii) design a dynamic admission control to grant joining accepts to mesh clients. We evaluate the benefits and drawbacks of the proposal for both UDP and TCP traffic, as well as the fairness of the proposal. Our results show that the new scheme can not only minimize hand-off latency, but also maintain the current application rates of roaming users by choosing an appropriate new master for joining.

Influence of Stratospheric Intrusion on Upper Tropospheric Ozone over the Tropical North Atlantic

  • Kim, So-Myoung;Na, Sun-Mi;Kim, Jae-Hwan
    • 한국지구과학회지
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    • 제29권5호
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    • pp.428-436
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    • 2008
  • This study observed the upper tropospheric ozone enhancement in the northern Atlantic for the Aerosols99 campaign in January-February 1999. To find the origin of this air, we have analyzed the horizontal and vertical fields of Isentropic Potential Vorticity (IPV) and Relative Humidity (RH). The arch-shaped IPV is greater than 1.5 pvus indicating stratospheric air stretches equatorward. These arch-shaped regions are connected with regions of RH less than 20%. The vertical fields of IPV and RH show the folding layer penetrating into the upper troposphere. These features support the idea that the upper tropospheric ozone enhancement originated from the stratosphere. Additionally, we have investigated the climatological frequency of stratospheric intrusion over the tropical north Atlantic using IPV and RH. The total frequency between the equator and $30^{\circ}N$ over the tropical north Atlantic exhibits a maximum in northern winter. It suggests that the stratospheric intrusion plays an important role in enhancing ozone in the upper troposphere over the tropical north Atlantic in winter and early spring. Although the tropospheric ozone residual method assumed zonally invariant stratospheric ozone, stratospheric zonal ozone variance could be caused by stratospheric intrusions. This implies that stratospheric intrusion influences ozone variance over the Atlantic in boreal winter and spring, and the intrusion is a possible source for the tropical north Atlantic paradox.

니켈 지지체를 이용한 바나듐기 분리막의 수소 투과특성 (Effects of Nickel Supports on Hydrogen Permeability of Vanadium based Membrane)

  • 조경원;최재하;정석;김경일;홍태환;안중우
    • 한국수소및신에너지학회논문집
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    • 제24권3호
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    • pp.200-205
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    • 2013
  • The separation of hydrogen depends on porosity, diffusivity and solubility in permeation membrane. Dense membrane is always showing a solution diffusion mechanism but porous membrane is not showing. Therefore, porous membrane has a good hydrogen flux due to pore is carried out transferred media. This mechanism is named as the Knudsen diffusion. Hydrogen molecules or hydrogen atoms are diffused along pore that is a mean free path. In this study, complex layer hydrogen permeation membrane was fabricated by hot press process. And then, it was evaluated and calculated to relationship between hydrogen permeability and membrane porosity.

SVC 기반의 DASH 서비스를 위한 스케일러블 임의접근 지원 방법 (Scalable Random Access for SVC-based DASH Service)

  • 서광덕;이홍래;김재곤;정순흥;유정주;정영호
    • 방송공학회논문지
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    • 제16권6호
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    • pp.1073-1076
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    • 2011
  • 본 논문에서는 SVC 기반의 HTTP 스트리밍 서비스에서 기본계층 뿐만 아니라 향상계층에 대해서도 임의접근 기능을 지원할 수 있는 스케일러블 임의접근 (random access) 방법을 제안한다. 이를 위해서, 제안하는 방법은 DASH 표준에 포함된 segment index box('sidx')를 확장하며 RAP Synchronization Box ('raps')를 새롭게 추가한다. 제안된 방법에 의해서 ISO 파일 포맷을 기반으로 파일에 저장되어 있는 SVC 비디오 계층들로 구성된 movie fragment들에 대한 스케일러블 임의접근이 가능하다.