• KIEAE Journal
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• 제15권1호
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• pp.139-146
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• 2015

This is an experimental study on the engineering characteristics of perforated reinforced concrete beams with shells. In the material matter of this study, the water cement ratio put 60%, the ratio of substitution of oyster shells to fine aggregate 30%. And in the structural matter, the form of opening put circle and square, the size of opening as the radius and the length of it changed from one to three times of the beam depth with a change presence and absence of reinforced steel around opening. All thirteen reinforced concrete beam tests composed one standard beam and twelve six beams with the circle and square opening were tested in shear strength under two points loading and compared and analyzed the characteristics of test beams under the same conditions one another. The results of the study showed as followed. 1) The initial crack load value of the opening test beams is similar the standard beam but the maximum load value decreased with increase in proportion of the opening size, in the square opening than the circle opening and in the absence than the presence of reinforced steel. 2) As the difference between the circle opening and the square opening beams is represented 2.17~9.8% in the maximum load value and the load capacity of the square opening suddenly decrease than it of the circle opening, it is judged because of the shortage of concrete section, the concentration of the stress in the corner of the square opening and material influence of shell substitution. 3) The failure figure such as the pattern of the crack and so on is represented brittle failure as the opening size is the bigger and the ratio of substitution is higher because of the lack material properties.

• 한국정보전자통신기술학회논문지
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• 제11권2호
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• pp.175-180
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• 2018

본 논문에서는 몰포러지 연산만을 적용하여 특징을 추출하고, 물체를 인식하는 알고리즘을 제안하였다. 특징추출에서 사용한 몰포러지 연산은 에로전과 다이레이션, 에로전과 다이레이션을 연계한 오프닝과 크로우징, 몰포러지 연산을 이용한 에지 및 스케리톤 검출 연산 등이다. 특징을 기반으로 물체를 인식하는 과정에서는 차원을 축소하기 위해서 풀링 연산을 사용하였다. 다양한 형태소 중에서 $3{\times}3$ Rhombus, $3{\times}3$ Square, $5{\times}5$ Circle 형태소를 임의로 선정하여 몰포러지 연산을 수행하였다. 무작위 인터넷 영상을 대상으로 행한 실험을 통해 물체인식 분야에서 유용한 알고리즘으로 적용될 수 있다는 것을 확인하였다.