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Ormocer-Based-Resin의 상아질에 대한 전단결합강도 및 파절 양상에 대한 연구
안시현,조인호,임주환,임헌송,Ahn, Shi-Hyun,Cho, In-Ho,Lim, Ju-Hwan,Lim, Heon-Song 대한턱관절교합학회 2002 구강회복응용과학지 Vol.16 No.3
The bond strength is one of the most important factor in establishing long-term success of esthetic restorative dentistry. So, various restorative materials have been introduced to improve the esthetic and physical properties. Ormocer (organically modified ceramic) was developed as a result of such efforts. This study was performed to compare the shear bond strength of ormocer based adhesive with that of existing dentin adhesive. In this study $Admira^{(R)}$ and $Admira^{(R)}$ bond of the ormocer system are grouped together for ADM, Single $Bond^{(R)}$ which is an one-bottle adhesive and Z-250TM which is hybrid composite resin of BIS-GMA system for SIN, and $Definite^{(R)}$ of ormocer and Etch & $Prime^{(R)}$ 3.0 which is a self etching priming/ bonding agent for ETC. The results of this study were as follows. : (1) In the comparison of shear bond strength according to different adhesive system, shear bond strength was increased in the order of ETC group, SIN group, ADM group. There was no significant difference between ADM group and SIN group. However, there was a significant level of difference between ADM and ETC groups as well as SIN and ETC groups( p<0.05). (2) Examination by a scanning electron microscope showed a well established hybrid layer and resin tag in both ADM group and SIN group, while ETC group showed a minimal formation of the hybrid layer when compared with ADM and SIN groups. From the above results, it may be reasonable to start the clinical application of ormocer system, and it is recommended that ormocer system should be used along with an ormocer based adhesive because ormocer system showed the lower shear bond strength when it used with other existing self etching priming/bonding agent. The self etching priming/bonding agent showed relatively low shear bond strength, and it is considered that the further study should be needed.
안시현(Shi-Hyun Ahn),박윤하(Yun Ha Park),문병인(Byungin Moon) 한국정보기술학회 2023 한국정보기술학회논문지 Vol.21 No.3
Recent wildfires are direct results of global warming. Most of the existing wildfire prevention has mostly focused on flame detection. However, it does not provide rapid response. In this paper, we develop deep learning-based “smoke” detection on CCTV for quick reaction. we also analyze real-time multi-channel images to monitor a wide area. The system has an accuracy of smoke recognition over 93% for mAP and can analyze 50-channel images simultaneously. A dashboard S/W and emergency alarm system(SMS) was developed for managers to monitor forest fire smoke in real time. Providing real-time information can reduce the loss of life and property from wildfires and enhance protection of critical facilities. we plan to develop a emergency alarm system(mobile app) in the future. As a result, it is expected that forest fire damage will be minimized by checking the forest fire situation in real time.