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RISS 인기검색어
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- 저자 : Jun Yew Tan (검색결과 2 건)
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Smoothness Improvement by HMA Overlay on Very Rough Surface in Urban Tunnel Expressway
Abraham Bae,David Lee,Jun Yew Tan 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.6
This study reveals new findings on pavement smoothness improvement characteristics of HMA overlay on very rough concrete base slab surface that has not been previously investigated. International Roughness Index (IRI) measurements were conducted in an urban open-cut tunnel expressway. Overlay design is two HMA lifts of 4 cm-thick each. For concrete slab surface with 6.0 to 9.5 m/ km of IRI, less than 1.6 m/km of post-overlay IRI was achieved in all 30 sections with 100 m interval, and less than 1.0 m/km IRI was obtained in about 53% sections. For about 30% of the sections, 2.0 m/km IRI was accomplished even in the 1st lift overlay. In wide range of IRI including up to 9 m/km, it was concluded that smoother pre-overlay surface produces smoother post-overlay surface. Post-overlay IRI is about 20% of pre-overlay IRI, but with large variation. Rather, the relationship between ΔIRI and preoverlay IRI has higher statistical significance. By validation process, it was concluded that smoothness prediction with respect to ΔIRI is more reliable than IRI value itself. This characteristic was found to be more evident when roughness is evaluated with respect to detailed wavelengths.
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Clement Chun Ho Wu,Samuel Jun Ming Lim,Damien Meng Yew Tan 대한소화기내시경학회 2024 Clinical Endoscopy Vol.57 No.4
Pancreatic cystic lesions (PCLs) have increased in prevalence due to the increased usage and advancements in cross-sectional abdominal imaging. Current diagnostic techniques cannot distinguish between PCLs requiring surgery, close surveillance, or expectant management. This has increased the morbidity and healthcare costs from inappropriately aggressive and conservative management strategies. Endoscopic ultrasound (EUS) needle-based confocal laser endomicroscopy (nCLE) allows for microscopic examination and delineation of the surface epithelium of PCLs. Landmark studies have identified characteristics distinguishing various types of PCLs, confirmed the high diagnostic yield of EUS-nCLE (especially for PCLs with an equivocal diagnosis), and shown that EUS-nCLE helps to change management and reduce healthcare costs. Refining procedure technique and reducing procedure length have improved the safety of EUS-nCLE. The utilization of artificial intelligence and its combination with other EUS-based advanced diagnostic techniques would further improve the results of EUS-based PCL diagnosis. A structured training program and device improvements to allow more complete mapping of the pancreas cyst epithelium will be crucial for the widespread adoption of this promising technology.
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