Rapid full-scale expansion joint monitoring using wireless hybrid sensor

Jang, Shinae,Dahal, Sushil,Li, Jingcheng Techno-Press 2013 Smart Structures and Systems, An International Jou Vol.12 No.3

Condition assessment and monitoring of bridges is critical for safe passenger travel, public transportation, and efficient freight. In monitoring, displacement measurement capability is important to keep track of performance of bridge, in part or as whole. One of the most important parts of a bridge is the expansion joint, which accommodates continuous cyclic thermal expansion of the whole bridge. Though expansion joint is critical for bridge performance, its inspection and monitoring has not been considered significantly because the monitoring requires long-term data using cost intensive equipment. Recently, a wireless smart sensor network (WSSN) has drawn significant attention for transportation infrastructure monitoring because of its merits in low cost, easy installation, and versatile on-board computation capability. In this paper, a rapid wireless displacement monitoring system, wireless hybrid sensor (WHS), has been developed to monitor displacement of expansion joints of bridges. The WHS has been calibrated for both static and dynamic displacement measurement in laboratory environment, and deployed on an in-service highway bridge to demonstrate rapid expansion joint monitoring. The test-bed is a continuous steel girder bridge, the Founders Bridge, in East Hartford, Connecticut. Using the WHS system, the static and dynamic displacement of the expansion joint has been measured. The short-term displacement trend in terms of temperature is calculated. With the WHS system, approximately 6% of the time has been spent for installation, and 94% of time for the measurement showing strong potential of the developed system for rapid displacement monitoring.

The relationship between immediately afterbirth oral suction matrix metalloproteinase-8 and acute histologic chorioamnionitis in preterm birth

( Shina Jang ),( Su Gyung Jung ),( Hwoa Yeon Choi ),( Eun Ae Jo ),( Hyung Eun Choi ),( Sung Ook Hwang ),( Soo Ran Choi ) 대한산부인과학회 2019 대한산부인과학회 학술대회 Vol.105 No.-

Objective: Acute histologic chorioamnionitis (HCA) is frequently observed after preterm birth and is associated with the risk of neonatal morbidity and mortality. We aimed to evaluate the relationship between immediately afterbirth oral suction matrix metalloproteinase-8 (MMP-8) and acute HCA in preterm birth. Methods: 93 consecutive patients who delivered preterm neonates (gestational age, from 24+0 weeks to 36+6 weeks) were included. The concentrations of immediately afterbirth oral suction MMP-8 and interleukin-8 (IL-8) were measured by ELISA. Acute HCA was defined as the presence of neutrophils infiltration into the fetal membranes. Logistic regression analysis was used for analysis. Results: Immediately afterbirth oral suction MMP-8 concentrations were significantly higher in patients with acute HCA than in those without acute HCA (median [range]; 65.3ng/ml [0.03-12479.6] versus 9.86ng/ml [0.02-1808.2], p=0.027). There was a strong association between MMP-8 and IL-8 (p<0.001). The diagnostic indices of MMP-8 (cutoff, 39.7ng/ml) in the identification of acute HCA were: sensitivity of 57.7% specificity of 83.6%. Based on a multivariable logistic regression analysis, immediately afterbirth oral suction MMP-8 (p=0.008, odds ratio [OR]=5.36, 95% confidence interval [CI]=1.56-18.37) was associated acute HCA. Conclusion: There is a significantly association between increased levels of immediately afterbirth oral suction MMP-8 and acute HCA.

Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation

Shinae Jang,Hongki Jo,조수진,Kirill Mechitov,Jennifer A. Rice,심성한,정형조,윤정방,Billie F. Spencer, Jr.,Gul Agha 국제구조공학회 2010 Smart Structures and Systems, An International Jou Vol.6 No.5

Structural health monitoring (SHM) of civil infrastructure using wireless smart sensor networks (WSSNs) has received significant public attention in recent years. The benefits of WSSNs are that they are low-cost, easy to install, and provide effective data management via on-board computation. This paper reports on the deployment and evaluation of a state-of-the-art WSSN on the new Jindo Bridge, a cable-stayed bridge in South Korea with a 344-m main span and two 70-m side spans. The central components of the WSSN deployment are the Imote2 smart sensor platforms, a custom-designed multimetric sensor boards, base stations, and software provided by the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. In total, 70 sensor nodes and two base stations have been deployed to monitor the bridge using an autonomous SHM application with excessive wind and vibration triggering the system to initiate monitoring. Additionally, the performance of the system is evaluated in terms of hardware durability, software stability, power consumption and energy harvesting capabilities. The Jindo Bridge SHM system constitutes the largest deployment of wireless smart sensors for civil infrastructure monitoring to date. This deployment demonstrates the strong potential of WSSNs for monitoring of large scale civil infrastructure.

Characterization and engineering of a single-chain antibody variable fragment (scFv) against PspA from Streptococcus pneumoniae for incorporation to a nanobio sensor

Shina JANG,Gyuhee KIM,Dong-Kwon RHEE,Yongho KIM,Sangho LEE 한국진공학회 2016 한국진공학회 학술발표회초록집 Vol.2016 No.8

Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation

Jang, Shinae,Jo, Hongki,Cho, Soojin,Mechitov, Kirill,Rice, Jennifer A.,Sim, Sung-Han,Jung, Hyung-Jo,Yun, Chung-Bangm,Spencer, Billie F. Jr.,Agha, Gul Techno-Press 2010 Smart Structures and Systems, An International Jou Vol.6 No.5

Structural health monitoring (SHM) of civil infrastructure using wireless smart sensor networks (WSSNs) has received significant public attention in recent years. The benefits of WSSNs are that they are low-cost, easy to install, and provide effective data management via on-board computation. This paper reports on the deployment and evaluation of a state-of-the-art WSSN on the new Jindo Bridge, a cable-stayed bridge in South Korea with a 344-m main span and two 70-m side spans. The central components of the WSSN deployment are the Imote2 smart sensor platforms, a custom-designed multimetric sensor boards, base stations, and software provided by the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. In total, 70 sensor nodes and two base stations have been deployed to monitor the bridge using an autonomous SHM application with excessive wind and vibration triggering the system to initiate monitoring. Additionally, the performance of the system is evaluated in terms of hardware durability, software stability, power consumption and energy harvesting capabilities. The Jindo Bridge SHM system constitutes the largest deployment of wireless smart sensors for civil infrastructure monitoring to date. This deployment demonstrates the strong potential of WSSNs for monitoring of large scale civil infrastructure.

고등학생 데이트 폭력의 실태와 예측요인 탐색

장신애(Jang Shinae),이경순(Lee Kyungsoon) 학습자중심교과교육학회 2019 학습자중심교과교육연구 Vol.19 No.21

이 연구는 최근 사회문제로 대두되고 있는 고등학생 사이에서 일어나는 데이트폭력 심각성에 주목하여, 관련 실태를 파악하고 예측변인을 탐색하고자 하였다. 이를 위하여 5개 고등학교 787명에게 설문조사를 하였으며, 이 가운데 이성교제 경험 이 있다는 학생은 352명(여학생 193명)이었다. 분석 결과, 첫째 데이트 폭력을 경험한 학생은 80%였으며, 심리적 폭력, 신체적 폭력, 성적 폭력 순이라고 답하였다. 또한 성별에 따라 데이트 폭력 유형별 빈도에 차이가 있었다. 둘째, 데이트 폭력 예측 요인을 가해․피해자 집단별로 비교한 결과, 데이트 폭력 경험이 없는 집단과 양방향 폭력 경험이 있다고 응답한 집단 간 차이가 큰 것으로 나타났다. 셋째, 데이트 폭력의 예측요인은 성별에 따라 상대적 중요도에 차이가 있었다. 남학생 경우, 차별적 성역할 태도, 부모의 부정적 양육태도, 미디어 폭력 노출이 유의한 예측요인으로 나타났다. 여학생 경우, 남학생의 3가지 요인을 포함하여 의존성, 학대경험, 자기조절, 교사지지가 예측요인으로 확인되었다. 이와 같은 결과는 고등학교 데이트 폭력에 대 한 교육적 개입 방안에는 성별에 따른 차별적인 처치가 필요하며, 이 때 개인적 요인뿐만 아니라 가족적, 사회적 요인을 통합적으로 다루어야 함을 시사한다. While teen dating violence(TDV) is a pervasive issue in Korea, literature focused on this remains limited. This study is to describe the prevalence of TDV in a sample of high school students and to examine the relation between TDV and related individuals and social factors. Additionally, it is determined if predictors varied by gender, perpetration or victimization. Surveys were administered on 787 students from 5 high schools; 352 students reported having dated and were included in the analysis. 10 predictors of TDV were assessed: self-regulation, aggressiveness, attachment, dependency, negative parenting, childhood abuse, sex roles, exposure to violent media, peer support and teacher support. Of the students who had dated, 80% reported perpetrating or victimizing TDV. The most frequently experienced TDV was emotional abuse followed by physical and sexual abuse. There were gender differences in the frequency and types of TDV. Second, comparing the perpetration, victimization, and non-experience groups, predictable factors are differed between those that have experienced bidirectional violence and the non-experience group. Third, the relative importance of related variables affecting TDV was different by gender. For instance, exposure to violent media and sex roles predicted the emotional and physical abuse of TDV for boys, whereas childhood abuse, exposure to violent media, and dependency predicted the multiple forms of TDV for girls. In conclusion, the prevalence of TDV was high in this sample. Important gender differences in rates of perpetration/victimization and predicting factors emerged. The findings have implications for developing comprehensive and gender-relevant prevention interventions focused on TDV among high school students.

Pre-Transplant Angiotensin II Type 1 Receptor Antibodies and Anti-Endothelial Cell Antibodies Predict Graft Function and Allograft Rejection in a Low-Risk Kidney Transplantation Setting

Shinae Yu,Hee Jae Huh,Kyo Won Lee,Jae Berm Park,Sung Joo Kim,Wooseong Huh,Hye Ryoun Jang,Ghee Young Kwon,Hyung Hwan Moon,Eun-Suk Kang 대한진단검사의학회 2020 Annals of Laboratory Medicine Vol.40 No.5

Background: Non-HLA antibodies, anti-angiotensin II type 1 receptor antibodies (anti-AT1R) and anti-endothelial cell antibodies (AECA), are known to play a role in allograft rejection. We evaluated the role of both antibodies in predicting post-transplant outcomes in low-risk living donor kidney transplantation (LDKT) recipients. Methods: In 94 consecutive LDKT recipients who were ABO compatible and negative for pre-transplant HLA donor-specific antibodies, we determined the levels of anti-AT1Rs using an enzyme-linked immunosorbent assay and the presence of AECAs using a flow cytometric endothelial cell crossmatch (ECXM) assay with pre-transplant sera. Hazard ratio (HR) was calculated to predict post-transplant outcomes. Results: Pre-transplant anti-AT1Rs (≥11.5 U/mL) and AECAs were observed in 36 (38.3%) and 22 recipients (23.4%), respectively; 11 recipients had both. Pre-transplant anti-AT1Rs were a significant risk factor for the development of acute rejection (AR) (HR 2.09; P=0.018), while a positive AECA status was associated with AR or microvascular inflammation only (HR 2.47; P=0.004) throughout the follow-up period. In particular, AECA (+) recipients with ≥11.5 U/mL anti-AT1Rs exhibited a significant effect on creatinine and estimated glomerular filtration rate (P<0.001; P=0.028), although the risk of AR was not significant. Conclusions: Pre-transplant anti-AT1Rs and AECAs have independent negative effects on post-transplant outcomes in low-risk LDKT recipients. Assessment of both antibodies would be helpful in stratifying the pre-transplant immunological risk, even in low-risk LDKT recipients.

Micro-pyramidal structure fabrication by Si (100) KOH wet etching

Shinae Hwang,Kyungsuk Lim,Hyeseon Shin,Ilki Han,Seongjae Lee,Moongyu Jang 한국진공학회 2017 한국진공학회 학술발표회초록집 Vol.2017 No.2

Highly Ordered Microscale-Pyramidal-Structure-Arrayed Silicon Membranes for Filter Applications

Hwang, Shinae,Lee, Seongjae,Ko, Jaehyeon,Jang, Moongyu American Scientific Publishers 2018 Journal of Nanoscience and Nanotechnology Vol.18 No.9

Field implementation of low-cost RFID-based crack monitoring using machine learning

Fils, Pierredens,Jang, Shinae,Sherpa, Rinchen Techno-Press 2021 Structural monitoring and maintenance Vol.8 No.3

As civil infrastructure continues to age, the extension of service life has become a financially attractive solution due to cost savings on reconstruction projects. Efforts to increase the service life of structures include non-destructive evaluation (NDE) and structural health monitoring (SHM) techniques. Nonetheless, visual inspection is more frequently used due to high equipment cost from other techniques and federal biennial inspection requirement. Recently, low-cost Radio Frequency Identification Devices (RFID) have drawn attention for crack monitoring; however, it was yet to be implemented in the field. This paper presents a crack monitoring algorithm using a developed RFID-based sensing system employing machine learning under temperature variations for field implementation. Two reinforced concrete buildings were used as testbeds: a parking garage, and a residential building with crumbling foundation phenomenon. An Artificial Neural Network (ANN)-based crack monitoring architecture is developed as the machine learning algorithm and the results are compared to a baseline model. The results show promise for field implementation of crack monitoring on building structures.