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- 저자 : Fan Zhang(장범) (검색결과 3 건)
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A Fast-Recovery Algorithm for Scatternet Reformation in Bluetooth Networks
장범(Fan Zhang),구명모(Myeong-Mo Gu),김상복(Sang-Bok Kim) 한국컴퓨터정보학회 2007 韓國컴퓨터情報學會論文誌 Vol.12 No.6
스캐터넷(Scatternet)에서 피코넷(Piconet)간의 연결을 통하여 블루투스 애드 혹 네트워크를 형성한다. 이러한 스캐터넷을 형성하기 위한 많은 알고리즘이 제안되었다. 하지만 이들은 스캐터넷 재구성 시간이 많이 걸리는 문제가 있다. 본 논문에서는 마스터가 피코넷을 벗어났을 경우 스캐터넷 재구성시 지연시간을 줄이기 위한 Fast-Recovery 알고리즘을 제안한다. 제안한 알고리즘에서는 마스터에 의해 생성된 피코넷 장치 테이블에서 마스터와 비슷한 가중치를 가지는 슬레이브를 Sub-Master로 선택한다. 마스터가 피코넷을 벗어났을 때, Sub-Master가 이전의 마스터 대신에 새로운 피코넷의 마스터가 되고, 페이지 상태에서 피코넷 장치 테이블을 통하여 모든 슬레이브와 브릿지에 직접 연결하도록 한다. A Bluetooth ad hoc network can be formed by interconnecting piconets into scatternet. Many algorithms of scatternet formation have been proposed so far. However. these have a problem that takes a long time to reform scatternet. especially for the case of master moving out. In this paper. we propose a Fast-Recovery algorithm, which aims at reducing the time of scatternet reformation owing to master moving out. In the algorithm. we select a slave with the weigh similar to its master as Sub-Master from a piconet device table created by the master. When a master leaves its piconet is detected by its slaves. the Sub-Master becomes the new master of the piconet instead of the old and directly connect to other slaves and bridge(s) through piconet device table in page state.
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Bong-Jae Jeong(정봉재),Fan Zhang(장범) 한국BIM학회 2017 KIBIM Magazine Vol.5 No.2
In this paper, the pattern of extracting the same expression is proposed by using the Android intelligent device to identify the facial expression. The understanding and expression of expression are very important to human computer interaction, and the technology to identify human expressions is very popular. Instead of searching for the emoticons that users often use, you can identify facial expressions with acamera, which is a useful technique that can be used now. This thesis puts forward the technology of the third data is available on the website of the set, use the content to improve the infrastructure of the facial expression recognition accuracy, in order to improve the synthesis of neural network algorithm, making the facial expression recognition model, the user s facial expressions and similar expressions, reached 66%.It doesn t need to search for emoticons. If you use the camera to recognize the expression, itwill appear emoticons immediately. So this service is the emoticons used when people send messages to others, and it can feel a lot of convenience. In countless emoticons, there is no need to find emoticons, which is an increasing trend in deep learning. So we need to use more suitable algorithm for expression recognition, and then improve accuracy.
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LED 식물공장에서 산란 유리 이용에 의한 상추(Lactuca Sativa L.)의 군락 광분포, 광합성 및 생장 향상
강우현(Woo Hyun Kang),장범(Fan Zhang),이준우(June Woo Lee),손정익(Jung Eek Son) 한국원예학회 2016 원예과학기술지 Vol.34 No.1
Plant factories with artificial lights require a large amount of electrical energy for lighting; therefore, enhancement of light use efficiency will decrease the cost of plant production. The objective of this study was to enhance the light use efficiency by using filters to diffuse the light from LED sources in plant factory conditions. The two treatments used diffuse glasses with haze factors of 40% and 80%, and a control without the filter. For each treatment, canopy light distribution was evaluated by a 3-D ray tracing method and canopy photosynthesis was measured with a sealed acrylic chamber. Sixteen lettuces for each treatment were cultivated hydroponically in a plant factory for 28 days after transplanting and their growth was compared. Simulation results showed that the light absorption was concentrated on the upper part of the lettuce canopy in treatments and control. The control showed particularly poor canopy light distribution with hotspots of light intensity; thus the light use efficiency decreased compared to the treatments. Total light absorption was the highest in the control; however, the amount of effective light absorption was higher in treatments than the control, and was highest in treatment using filters with a haze factor of 80%. Canopy photosynthesis and plant growth were significantly higher in all the treatments. In conclusion, application of the diffuse glass filters enhanced the canopy light distribution, photosynthesis, and growth of the plants under LED lighting, resulting in enhanced the light use efficiency in plant factory conditions.
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