http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 편석범 ( Seok Beom Pyeon ) (검색결과 6 건)
- 무료
- 기관 내 무료
- 유료
-
형식별 블럭분할에 기초한 다중신경망과 퍼지추론에 의한 한글 형식분류
편석범,박종안,Pyeon, Seok-Beom,Park, Jong-An 한국음향학회 1994 韓國音響學會誌 Vol.13 No.4
본 논문에서는 형식별 블럭분할에 기초한 다중신경망과 퍼지추론에 의한 한글 형식분류에 대해 연구하였다. 효과적인 자모분류를 위해 입력문자에 대해서 한글의 각 형식을 구성하는 자모의 영역으로 분할하는 블럭분할방법을 제한하였으며, 분할된 블럭이 형식에 따라 적응적으로 변화할 수 있도록 하였다. 또한 분류율의 향상을 위해 전체신경망과 부분신경망으로 이루어진 다중신경망을 구성하였으며, 퍼지추론에 의해 한글 형식을 판정하였다. 비교, 실험을 통하여 제안된 방법의 타당성을 검증하였으며, $92.6\%$의 분류율을 나타내므로서 유효성을 확인하였다. In this paper, the ciassification of Korean character type using multi neural network and fuzzy inference based on block partition is studied. For the effective classification of a consonant and a vowel, block partition method which devide the region of a consonant and a vowel for each type in the character is proposed. And the partitioned block can be changed according to the each type adaptively. For the improvement of classification rate, the multi neural network with a whole and a part neural network is consisted, and the character type by using fuzzy inference is decided. To verify the validity of the proposed method, computer simulation is accomplished, and from the classification rate $92.6\%$, the effectivity of the method is confirmed.
-
차체구조부재용 알루미늄 CFRP 혼성사각부재의 축 압궤 특성
이길성,차천석,편석범,양인영,심재기,Lee, Kil-Sung,Cha, Cheon-Seok,Pyeon, Seok-Beom,Yang, In-Young,Sim, Jae-Ki 대한기계학회 2005 大韓機械學會論文集A Vol.29 No.10
An aluminum or CFRP (Carbon Fiber ReinfDrced Plastics)is representative one of light-weight materials but its axial collapse mechanism is different from each other. The aluminum member absorbs energy by stable plastic deformation, while the CFRP member absorbs energy by unstable brittle failure with higher specific strength and stiffness than those in the aluminum member. In an attempt to achieve a synergy effect by combining the two members, aluminum CFRP compound square members were manufactured, which are composed of aluminum members wrapped with CFRP outside aluminum square members with different fiber orientation angle and thickness of CFRP, and axial collapse tests were performed fur the members. The axial collapse characteristics of the compound members were analyzed and compared with those of the respective aluminum members and CFRP members. Test results showed that the collapse of the aluminum CFRP compound member complemented unstable brittle failure of the CFRP member due to ductile characteristics of the inner aluminum member. The collapse modes were categorized into four modes under the iuluence of the fiber orientation angle and thickness of CFRP. The absorbed energy Per unit mass, which is in the light-weight aspect was higher in the aluminum CFRP compound member than that in the aluminum member and the CFRP member alone.
-
양용준 ( Yong Jun Yang ),편석범 ( Seok Beom Pyeon ),차천석 ( Cheon Seok Cha ),양인영 ( In Young Yang ) 한국안전학회(구 한국산업안전학회) 2016 한국안전학회지 Vol.31 No.6
CFRP composite laminates are widely used as structural materials for airplanes, automobile and aerospace vehicles because of their high strength and stiffness. This study aims to examine an effect of curvature on the penetration fracture characteristic of an orthotropic composite laminated shell. For the purpose, we manufactured orthotropic CFRP shell specimen with different curvatures, and conducted a penetration test using an air-gun. Those specimens were prepared to varied curvature radius(∞, 200mm, 150mm and 100mm)and were stacked to [O°3/90°3]s. When the specimen is subjected to transverse impact by a steel sphere(Φ10), the velocity of steel sphere was measured both before and after impact by determining the time for it to pass two ball-screen sensors located a known distance apart. As the curvature increases, the absorption energy and the critical penetration energy increased linearly because the resistance to the bending moment. Patterns of cracks caused by the penetration of CFRP laminated shells included fiber breakage, lamina fracture, matrix crack interlaminar crack and intralaminar crack.
-
한재균(Jae-Kyun Han),편석범(Seok-Beom Pyeon) 대한전자공학회 2011 電子工學會論文誌 IE (Industry electronics) Vol.48 No.2
IEEE 802.11 무선 네트워크에서는 프레임 충돌현상을 방지하기 위해 RTS/CTS와 같은 제어프레임을 지원한다. 하지만 제어프레임은 프레임 충돌 현상을 막지만 전송률을 떨어뜨린다. 또한, 이웃하는 셀이나 같은 셀에 있는 다른 노드들의 동작을 막아버리는 현상인 False Node Problem을 발생시키기도 한다. 비효율적인 전송률과 False Node Problem을 해결하기 위해 새로운 제어프레임을 제안한다. 새로운 제어 프레임은 기존의 프레임에서 채널 감지기능을 갖는 4바이트를 추가한 것이며, 채널 감지 기능은 데이터를 수신할 때 일정한 시간에 채널을 다시 감지한다. 이 기능으로 채널의 접속 빈도를 높이게 되어 False Node Problem을 방지할 것이라고 기대한다. False Node Problem 방지와 효율적인 전송률을 증명하기 위해 새로운 제어프레임과 기존의 제어프레임을 지연시간과 load을 비교 분석을 하였다. IEEE 802.11 wireless network supports control frames like RTS/CTS(Request To Send / Clear To Send). Because they is defend to frame collection problems. It helps to solve the frame collection problem but decreases the throughput rate. Also, control frame makes False Node Problem. This problem is makes to other wireless nodes don't work and don't find channels in the same cell and near cells. We proposed a reformed new control frame for efficiency throughput rate and solution of False Node Problem. New control frame is to have added to 4 bytes of channel detection ability at the RTS frames. Channel detection ability supported to check channel at the wireless node start to transmit data frame, We expect that channel detection ability make prevent False Node Problem for increase to access number to channel. We perform comparative analysis in terms of delay(sec) and load(bits/sec) with reform RTS/CTS method which proves the efficiency of the proposed method.
-
-
다단 신경망과 퍼지추론에 의한 필기체 한글 형식분류에 관한 연구
편석범,김재민,박종안 조선대학교 동력자원연구소 1994 動力資源硏究所誌 Vol.16 No.1
This paper describes the clssifisation method of Korean Character type, which uses multi neural networks and fuzzy inference based on block partition. The block partition method uses the adaptive region devision of a consonant and a vowel for each type in the character. And for the improvement of classification rate, the multi neural network with a whole and a part neural networks have been used. Simulation result shows classification rate 90.8%. It verify the validity of the proposed method.
DBpia연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
