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센서 네트워크에서 표적의 위치 정확도 향상을 위한 클러스터링을 이용한 정보 융합과 센서 노드 배치에 관한 연구
전기남(Ki-Nam Jun),백승호(Seung-Ho Baek),임병욱(Byung-Wook Im),유연상(Youn-Sang Yoo) 한국정보기술학회 2017 한국정보기술학회논문지 Vol.15 No.3
In order to improve the location accuracy of a target, various methods for improving the performance of a single sensor node have been studied in sensor network. However, there is little research to improve the location accuracy using data fusion and sensor node deployment at system level. Therefore, this paper proposed a method to improve the location accuracy using data fusion and sensor node deployment. We implemented the proposed data fusion system and simulated various sensor node deployments. As a result, the proposed method improved the location accuracy of about 1.67m. In addition, we have found an optimal deployment that satisfies a required performance under limited sensor node resources.
초협대역 비디오 전송을 위한 심층 신경망 기반 초해상화를 이용한 스케일러블 비디오 코딩
김대은(Dae-Eun Kim),기세환(Sehwan Ki),김문철(Munchurl Kim),전기남(Ki Nam Jun),백승호(Seung Ho Baek),김동현(Dong Hyun Kim),최증원(Jeung Won Choi) 한국방송·미디어공학회 2019 방송공학회논문지 Vol.24 No.1
The necessity of transmitting video data over a narrow-bandwidth exists steadily despite that video service over broadband is common. In this paper, we propose a scalable video coding framework for low-resolution video transmission over a very narrow-bandwidth network by super-resolution of decoded frames of a base layer using a convolutional neural network based super resolution technique to improve the coding efficiency by using it as a prediction for the enhancement layer. In contrast to the conventional scalable high efficiency video coding (SHVC) standard, in which upscaling is performed with a fixed filter, we propose a scalable video coding framework that replaces the existing fixed up-scaling filter by using the trained convolutional neural network for super-resolution. For this, we proposed a neural network structure with skip connection and residual learning technique and trained it according to the application scenario of the video coding framework. For the application scenario where a video whose resolution is 352×288 and frame rate is 8fps is encoded at 110kbps, the quality of the proposed scalable video coding framework is higher than that of the SHVC framework.