• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.43 no.1 s.343
• /
• pp.9-18
• /
• 2006

This paper presents a Monte-Carlo based method to obtain a probability of interference in the 900MHz passive RFID systems. We show an efficient algorithm to calculate not only in-band interference due to unwanted emission of interfering sources for a given emission mask, but out-of-band interference, which depends on the blocking performances of a victim receiver filter. We next apply the proposed method to two types of RFID systems, one is to use simple FHSS and the other to adopt a hybrid use of FHSS and LBT, which senses the channel before transmission. Simulation is first performed with a SEAMCAT. We next make simulation with a MATLAB software which implements SEAMCAT algorithm and show both results from two softwares are similar.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2002.11a
• /
• pp.95-98
• /
• 2002

전력선 통신 blocking filter용 자심 재료를 개발하기 위해서 MnO 24 mol%, ZnO 25 mol% and $Fe_{2}O_{3}$ 51 mol% 의 기본조성에 $MoO_{3}$, $SiO_{2}$, CaO를 첨가하여 $1350^{\circ}C$에서 대기압 상수 A를 7.8롤 고정하고 소결하여 미세구조를 제어하였으며 기본 조성에 $MoO_{3}$ 400 ppm, $SiO_{2}$ 100 ppm and CaO 200 ppm을 첨가한 경우 평균 입경 $25{\mu}m$ 의 균일한 결정립으로 구성된 미세구조를 얻었고 기공의 감소에 의한 치밀화로 $4.98g/cm^{2}$의 고밀도화가 이루어 졌다. 또한 소결체의 균일한 미세구조와 고밀도화로 인해서 8221(${25^{\circ}C}$, 1 KHz) 의 가장 높은 투자율 특성을 나타냈다. 시편의 온도가 증가함에 따라 투자율이 증가되어 ${110^{\circ}C}$에서 13904의 거대 투자융이 측정되었고, 코일의 인가주파수가 1 KHz에서 1 MHz까지 증가됨에 따라 최고 ${102^{\circ}C}$까지 시편 온도가 상승하였다. 가장 높은 투자율 특성을 나타낸 ferrite 코어를 사용하여 단상 및 3상용 블로킹 필터의 감쇄율을 측정한 결과 현재 국내의 전력선 통신용 주파수 대역으로 규정되어 있는 10 KHz ~ 450 KHz 대역에서 각각 -46.46 dB와 -73.9 dB의 최고 값을 얻었다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.5
• /
• pp.339-345
• /
• 2016

In general, mosaic blocks are used to hide some specified areas, such as human faces and disgusting objects, in an input image when images are uploaded on a web-site or blog. This paper proposes a new algorithm for robustly detecting grid mosaic areas in an image based on the edge projection. The proposed algorithm first extracts the Canny edges from an input image. The algorithm then detects the candidate mosaic blocks based on horizontal and vertical edge projection. Subsequently, the algorithm obtains real mosaic areas from the candidate areas by eliminating the non-mosaic candidate regions through geometric features, such as size and compactness. The experimental results showed that the suggested algorithm detects mosaic areas in images more accurately than other existing methods. The suggested mosaic detection approach is expected to be utilized usefully in a variety of multimedia-related real application areas.