• 한국고분자학회:학술대회논문집
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• 한국고분자학회 2006년도 IUPAC International Symposium on Advanced Polymers for Emerging Technologies
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• pp.302-302
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• 2006

Nanoaggregates of triple hydrophilic block copolymers comprised of poly(ethylene oxide), poly(sodium 2-acrylamido)-2-methylpropanesulfonate), and poly(methacrylic acid) (PEO-PAMPS-PMAA) and the cationic surfactant, dodecyltrimethylammonium chloride (DTAC) have been fabricated. The formation of $^{\circ}^{\circ}$the nanoaggregates is based on electrostatic interaction of sulfonate and carboxylate groups of PAMPS and PMAA blocks with the cationic surfactant, which results in insolubilization of these blocks. The formation of micelle is observed by dynamic light scattering measurements. Binding of DTAC to the anionic blocks of PEO-PAMPS-PMAA is confirmed by electrophoresis measurements.

• 한국응용과학기술학회지
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• 제12권1호
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• pp.81-86
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• 1995

Some weight loss accelerating agents, dodecyltrimethylammonium chloride(DTAC), dodecyltrimethylammonium bromide(DTAB), dodecyldimethylammonium chloride(DDBAC), polyoxyethylene(2) dodecylbenzylammonium chloride(PDBAC), and 1-(2-hydroxyethyl)-1-benzyl-2-undecylimidazolinium chloride(AEUIC), were synthesized. As a result of weight loss treatment of the weight loss accelerating agents with NaOH to PET fiber, the increase of weight loss was the order of PDBAC > DDBAC > DTAC > DTAB > AEUIC. Among the weight loss accelerating agents, AEUIC hardly showed weight loss effect, and it was separated into two layer in the NaOH solution at the treatment concentration above 6g/L, but POBAC showed good weight loss effect of 21% that approach almost to a theoretical weight loss, 21.6%, at the concentration above 8g/L.

• 공업화학
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• 제10권6호
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• pp.876-880
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• 1999

이온성과 비이온성계면활성제의 혼합 미셀 용액의 자기확산계수는 NMR FT-PGSE법으로 측정하였다. 또한 프로톤 NMR 피크의 폭을 관찰하였다. 연구된 계는 $C_{12}EO_5/SDS/D_2O$, $C_{12}EO_5/DTAC/D_2O$ 및 $C_{12}EO_8/SDS/D_2O$의 혼합계이다. 모든 시료에서 솔벤트와 계면활성제의 몰비는 일정하고 계면활성제의 혼합비는 다양하게 실험을 하였다. $C_{12}EO_5$ 계에서 계면활성제의 자기확산계수는 이온성계면활성제의 혼합비가 약 25%일 때 최소치를 나타내었다. 비이온성계면활성제가 이온성계면활성제로 치환됨에 따라서 자기확산계수가 감소하는 것은 미셀간의 반발력이 증가하기 때문이다. 이온성계면활성제의 높은 분율에서 자기확산계수가 증가하는 것은 미셀의 크기가 감소하기 때문이다. $C_{12}EO_8$ 계에서 계면활성제의 혼합비의 효과는 분자의 기하학적 구조와 큰 관능기의 면적 때문에 거의 없다. 프로톤 NMR 피크와 자기확산계수는 상호 밀접한 관계를 나타내고 알킬 사슬의 메틸렌 시그날의 넓혀짐 현상은 자기확산계수가 작을 때 나타난다.

• Smart Structures and Systems
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• 제29권1호
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.