• 한국멀티미디어학회논문지
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• 제19권9호
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• pp.1690-1697
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• 2016

In a beacon-enabled Zigbee network, the slotted CSMA/CA mechanism based on the super frame structure fairly provides communication chance for each node and makes a reasonable usage of the available energy. In the case of wireless nano sensors that are implanted into the target human body area for detecting disease symptoms or virus, such a nano-network requires a similar type of channel sharing and transmission of short length event-driven data. In this paper, for nano-network's in-body applications, we aim to design conceptually a new super frame derived from the existing beacon-enabled Zigbee MAC protocol. And we analyze the efficiency of the proposed super frame in the aspect of practical deployment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4065-4083
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• 2021

Super-resolution can improve the clarity of low-resolution (LR) images, which can increase the accuracy of high-level compute vision tasks. Portable devices have low computing power and storage performance. Large-scale neural network super-resolution methods are not suitable for portable devices. In order to save the computational cost and the number of parameters, Lightweight image processing method can improve the processing speed of portable devices. Therefore, we propose the Enhanced Information Multiple Distillation Network (EIMDN) to adapt lower delay and cost. The EIMDN takes feedback mechanism as the framework and obtains low level features through high level features. Further, we replace the feature extraction convolution operation in Information Multiple Distillation Block (IMDB), with Ghost module, and propose the Enhanced Information Multiple Distillation Block (EIMDB) to reduce the amount of calculation and the number of parameters. Finally, coordinate attention (CA) is used at the end of IMDB and EIMDB to enhance the important information extraction from Spaces and channels. Experimental results show that our proposed can achieve convergence faster with fewer parameters and computation, compared with other lightweight super-resolution methods. Under the condition of higher peak signal-to-noise ratio (PSNR) and higher structural similarity (SSIM), the performance of network reconstruction image texture and target contour is significantly improved.

• 한국통신학회논문지
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• 제40권3호
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• pp.602-612
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• 2015

현재 표준 차량 통신 프로토콜인 IEEE 802.11p는 차량 간 한 홉 전송을 수행하기 때문에 차량 환경에서 효율적인 정보 전달을 수행하는데 한계가 있다. 본 논문은 차량 환경에서 효율적인 정보 전달을 위해 무선 근거리 통신 중 하나인 LTE-D2D 기술을 사용한 차량 네트워크를 제안한다. 이때 전송 메시지 형태는 IP 패킷 옵션을 지닌 이름 기반 정보 메시지를 사용하고 일반 차량 노드는 요청하는 메시지를 중간 매개 노드인 대형 차량 노드로 전송하여 정보를 전송 받는다. 성능 분석을 통해 셀룰러 네트워크와 제안된 LTE-D2D 차량 네트워크에서의 패킷전달 시간에 따른 데이터 처리율을 비교하였다.

• Journal of information and communication convergence engineering
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• 제8권3호
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• pp.295-300
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• 2010

Recent researches of network structure are moving to high-level networks because there are already many research results of low-level network. Especially, current network services has been changed to the multimedia service using multicast routing such as IPTV(Internet Protocol Television) service. And then previous multicast services were provider oriented. So previous multicast structures were organized server/client model. But future multicast services will make user oriented services. Therefore there will be many service providers in the future. At this point, we study P2P network for supporting multi provider. So we research load balancing and contents lookup protocols in P2P network. In this paper, we propose network protocol and system based on super peer P2P for load balancing and efficiently service search. And we considered mobile environment for mobile IPTV.

• 기술사
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• 제29권5호
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• pp.99-103
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• 1996

In this paper we discuss Gigabit information communication service utilizing Gigabit information super-highway, multimedia data processing technology for the services, multimedia communication protocol for transmitting multimedia data and construction of Gigabit information communication network which can be accessed everywhere and present items which should be tactically prepared for high-level information society of the 21 st century.

• Journal of Biosystems Engineering
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• 제23권4호
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• pp.391-398
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• 1998

Effective use of agricultural informations is crucial for 21 century farming. An interactive agricultural machinery information system was developed. It consisted of databases, knowledge bases, expert systems, a server engine, clients for a multimedia agricultural machinery information system based on Java and distributed objects technology. It is supposed to be served through a nationwide super information communication network for my farmers to utilize it interactively and quickly. Several user-friendly interface programs for users were developed to use texts, static k dynamic images, and expert systems easily. Tools for providing the informations were built with JAVA. Information providers permitted to access to the system such as agricultural machinery companies can easily add or modify the informations using distributed object technology. This system can interact among three groups : prime information provider (or system manager), permitted information providers, and farmers.

• International Journal of Internet, Broadcasting and Communication
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• 제7권1호
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• pp.42-48
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• 2015

Generally, the current commercial cloud system is hosted by the centralization large datacenter. However, the other clouding forms existed and one of them is the P2P cloud. The P2P Cloud is a distributed systems, is freedom to join and leave and is possible to provide the IaaS. Commonly, P2P Cloud System is based on Pure-P2P System. Since a number of connection paths exist, it has a high reliability and easily scalability of the network. However, there are disadvantages of the slow rate of route because of looking up the all peers in order to search for the peer. In this paper, it proposes the P2P cloud system based on super-peer P2P. Super-peer P2P system has fast routing time, because of searching for cluster unit and it also can has high reliability and high scalability. We designs the super Peer cloud service and proposes the system model and Resource Allocation Algorithm for IaaS in Super peer P2P environment.

• 한국정보통신학회논문지
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• 제24권12호
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• pp.1604-1611
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• 2020

마이크로렌즈 어레이 기반의 카메라로 촬영된 라이트필드 영상은 낮은 공간해상도 및 각해상도로 인하여 실제 사용하기에는 많은 제약이 따른다. 고해상도의 공간해상도 영상은 최근 많이 연구되고 있는 단일 영상 초해상도 기법으로 쉽게 얻을 수 있으나 고해상도의 각해상도 영상은 영상사이에 내재된 시점차 정보를 이용하는 과정에서 왜곡이 발생하여 좋은 품질의 각해상도 영상을 얻기 힘든 문제가 있다. 본 논문에서는 영상 사이에 내재된 시점차 정보를 효과적으로 추출하기 위해서 팽창 합성곱 신경망을 이용하여 초기 특징맵을 추출하고 잔차 신경망으로 새로운 시점 영상을 생성하는 라이트 필드 각 초해상도 영상 기법을 제안한다. 제안하는 네트워크는 기존의 각 초해상도 네트워크와 비교하여 PSNR 및 주관적 화질 비교에서 우수한 성능을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권10호
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• pp.3302-3320
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• 2014

An allocation of sensing and reporting times is proposed to improve the sensing performance by scheduling them in an efficient way for cognitive radio networks with cluster-based cooperative spectrum sensing. In the conventional cooperative sensing scheme, all secondary users (SUs) detect the primary user (PU) signal to check the availability of the spectrum during a fixed sensing time slot. The sensing results from the SUs are reported to cluster heads (CHs) during the reporting time slots of the SUs and the CHs forward them to a fusion center (FC) during the reporting time slots of the CHs through the common control channels for the global decision, respectively. However, the delivery of the local decision from SUs and CHs to a CH and FC requires a time which does not contribute to the performance of spectrum sensing and system throughput. In this paper, a super-allocation technique, which merges reporting time slots of SUs and CHs to sensing time slots of SUs by re-scheduling the reporting time slots, has been proposed to sense the spectrum more accurately. In this regard, SUs in each cluster can obtain a longer sensing duration depending on their reporting order and their clusters except for the first SU belonged to the first cluster. The proposed scheme, therefore, can achieve better sensing performance under -28 dB to -10 dB environments and will thus reduce reporting overhead.

• 한국정보통신학회논문지
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• 제25권11호
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• pp.1477-1485
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• 2021

최근 이미지 초해상도는 정수배율만 가능한 모델에만 집중적으로 연구되고 있다. 하지만 관심 객체 인식, 디스플레이 화질 개선 등 실제 초해상도 기술의 대표 적용 분야에서는 소수 배율을 포함하는 임의배율 확대 필요성이 대두되고 있다. 본 논문에서는 기존 정수배율 모델의 가중치를 활용하여 임의배율을 실행할 수 있는 모델을 제안한다. 이 모델은 정수배율에 의해 우수한 성능을 가진 초해상도 결과를 DCT 스펙트럼 도메인으로 변환하여 임의배율을 위한 공간을 확장한다. DCT 스펙트럼 도메인에 의한 확장으로 인해 발생하는 이미지의 고주파 정보 손실 문제를 줄이기 위해 고주파 스펙트럼 정보를 적절히 복원할 수 있는 모델인 고주파 집중 네트워크를 제안한다. 제안된 네트워크는 고주파 정보를 제대로 생성하기 위해서 RGB 채널간의 상관관계를 학습하는 레이어인 channel attention을 활용하고, 잔차 학습 구조를 통해 모델을 깊게 만들어 성능을 향상시켰다.