• The KSFM Journal of Fluid Machinery
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• v.15 no.6
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• pp.31-38
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• 2012

Rotor of rotating machinery is the highly damaged part. Fault of 7 different types was confirmed as the main causes of rotor damage from the pump failure history data in domestic and U.S. nuclear. For each fault types, simulation testing was performed and fault signals were collected form the sensors. To calculate the statistical parameters of time-domain & frequency-domain, measured signals were analyzed by using the discrete wavelet transform, fast fourier transform, statistical analysis. Total 84 parameters were obtained. And Effectiveness factor were used to evaluate the discrimination capacity of each parameter. From the effectiveness factor, RAW-P4/RAW-P7/WT2-NNL/WT2-EE/WT1-P1 showed high ranking. Finally, these parameters were selected as the feature parameters of intelligent fault diagnostics for rotor.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.17 no.3
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• pp.275-286
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• 2013

In the present study, antioxidant activity and protective effect of extracts from Sambucus williamsii var. coreana stems (SWC) were evaluated on tert-butyl hydroperoxide (t-BHP) induced oxidative stress in human liver (Chang) cells. Antioxidant activities of the SWC extracts were determined by various radical scavenging activities, such as DPPH, ferric reducing antioxidant power (FRAP), 2,2'-azinobis-(3-ethybenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activity and oxygen radical absorbance capacity (ORAC) assay. SWC extracts showed strong antioxidant effect on various assay. To determine the hepatoprotective effects of SWC on t-BHP induced oxidative damage, cell viability was measured using MTT assay. Pretreatment of SWC extracts showed increasing cell viability, decreasing ROS and restoring mitochondria membrane potential on t-BHP induced oxidative stress in Chang cells. Our findings suggest that SWC extracts may be considered a potential agent for therapeutic protective effect from oxidative stress through its antioxidant activity.

• Journal of the Korean Society of Hazard Mitigation
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• v.1 no.2 s.2
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• pp.63-74
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• 2001

In this paper the feasibility of Nondestructive Damage Detection (NDD) in large structures is demonstrated via simulating vibration monitoring of such structures. The theory of NDD for truss type structures is formulated. To examine the feasibility of the theory, a finite element model of a 3-D truss structure, which consists of sixteen bays and includes 246 elements, is developed to simulate damage. Four damage cases are simulated numerically and the cases range from the structure being damaged in one location to the structure being damaged in three locations. For the given modal parameters, this study reveals very good results for small amounts of damage as well as large damage.

• BMB Reports
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• v.53 no.4
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• pp.191-205
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• 2020

The unexpected pandemic set off by the novel coronavirus 2019 (COVID-19) has caused severe panic among people worldwide. COVID-19 has created havoc, and scientists and physicians are urged to test the efficiency and safety of drugs used to treat this disease. In such a pandemic situation, various steps have been taken by the government to control and prevent the Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2). This pandemic situation has forced scientists to rework strategies to combat infectious diseases through drugs, treatment, and control measures. COVID-19 treatment requires both limiting viral multiplication and neutralizing tissue damage induced by an inappropriate immune reaction. Currently, various diagnostic kits to test for COVID-19 are available, and repurposing therapeutics for COVID-19 has shown to be clinically effective. As the global demand for diagnostics and therapeutics continues to rise, it is essential to rapidly develop various algorithms to successfully identify and contain the virus. This review discusses the updates on specimens/samples, recent efficient diagnostics, and therapeutic approaches to control the disease and repurposed drugs mainly focusing on chloroquine/hydroxychloroquine and convalescent plasma (CP). More research is required for further understanding of the influence of diagnostics and therapeutic approaches to develop vaccines and drugs for COVID-19.

• Journal of Society of Preventive Korean Medicine
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• v.10 no.1
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• pp.141-153
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• 2006

In order to study the changes in hematology and serum chemistry of rats injected with glycerol, Sprague-Dawley albino rats weighing 240 to 260 gm were injected intramuscularly with a 50% solution of glycerol(8ml/kg). We measured the values of hematology and serum chemistry, and compared the measured values of S1 group(passed for 1day after injection of glycerol), S2 group(passed for 2days after injection of glycerol), S3 group(passed for 3days after injection of glycerol), S4 group(passed for 3days after injection of glycerol) and S5 group(passed for 4days after injection of glycerol) with those of Normal group(non-treated group). The results are summarized as follows : 1. In body temperature, S1, S2, S4 groups showed significantly higher compared with Normal group, especially S2 group was higher than S1 group(p<0.05). But S5 group was lower than Normal group(p<0.05). 2. In RBC, S1 group was lower than Normal group(p<0.05). And in Hct, S1, S2, S3 groups were lower than Normal group(p<0.05), in Hb, S1 and S3 groups were lower than Normal group(p<0.05). 3. In WBC, S1, S2 groups were higher than Normal group(p<0.05). and in WBC differential count, S2, S3, S5 groups were higher than N, S1, S4 groups in monocyte(p<0.05). 4. In GOT, S1 group was higher than Normal group(p<0.05), and S2, S3, S4, S5 groups were lower than S1 group(p<0.05). In GPT, S1 group was higher than Normal group(p<0.05), and S2, S3 groups were lower than S1 group(p<0.05), S4, S5 groups were lower than N, S1, S2, S3 groups(p<0.05). 5. In total cholesterol and creatinine, S4 group was higher than Normal group(p<0.05). According to the above experimental results, we could find the anemia, inflamation, damage of renal function for 4 days by intramuscularly injection with a 50% solution of glycerol(8ml/kg) in rat.

• Composites Research
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• v.13 no.1
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• pp.40-49
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• 2000

The objective of this research is to develop the impact monitoring techniques providing impact identification and damage diagnostics of smart composite laminates susceptible to impacts. This can be implemented simultaneously by using the acoustic waves by the impact loads and the acoustic emission waves from damage. In the previous research, we have discussed the impact location detection process in which impact generated acoustic waves are detected by PZT using the improved neural network paradigm. This paper describes the implementation of time-frequency analysis such as the Short-Time Fourier Transform (STFT) and the Wavelet Transform (WT) on the determination of the occurrence and the estimation of damage.

• Smart Structures and Systems
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• v.5 no.4
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• pp.469-482
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• 2009

The emerging sensor-based structural health monitoring (SHM) technology has a potential for cost-effective maintenance of aging civil infrastructure systems. The author proposes to integrate continuous and global monitoring using on-structure sensors with targeted local non-destructive evaluation (NDE). Significant technical challenges arise, however, from the lack of cost-effective sensors for monitoring spatially large structures, as well as reliable methods for interpreting sensor data into structural health conditions. This paper reviews recent efforts and advances made in addressing these challenges, with example sensor hardware and health monitoring software developed in the author's research center. The hardware includes a novel fiber optic accelerometer, a vision-based displacement sensor, a distributed strain sensor, and a microwave imaging NDE device. The health monitoring software includes a number of system identification methods such as the neural networks, extended Kalman filter, and nonlinear damping identificaiton based on structural dynamic response measurement. These methods have been experimentally validated through seismic shaking table tests of a realistic bridge model and tested in a number of instrumented bridges and buildings.

• The Journal of Korean Medical History
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• v.27 no.1
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• pp.87-112
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• 2014

Purpose : "The Part of Cold damage in Uihakipmun" is the collection of the books on Cold damage which follow the way of description focusing on symptoms before Ming dynasty. "The chapter of First symptom" in this part is the first chapter which described focusing on the symptoms in earnest. This research is to discover the reference books of "The chapter of First symptom" in detail. Methods : I compared the books presented in the reference list of "The Part of Cold damage in Uihakipmun" with the sentences of "The chapter of First symptom". Results & Conclusions : "The chapter of First symptom" referred to "Sanghanyukseo(傷寒六書)" and "Injaesanghanryuseo(仁齋傷寒類書)" mainly, and the rest were supplemented with other books like "Hwalinseo(活人書)". And the books which were not listed on the reference like "Sanghanmyeongriron(傷寒明理論)", "Yupyeonhwalinseogwaljijangdoron(類編活人書括指掌圖論)" were also referred in part. Among the reference list of "The Part of Cold damage in Uihakipmun", "Baekmun(百問)" doesn't indicate "Sanghanbaekmun(傷寒百問)" but "Sanghanbaekmunga(傷寒百問歌)". As for the history of the books on cold damage which described focusing on symptoms, "Injaesanghanryuseo" added new contents on the basis of "Hwalinseo" and after that, it had a large influence on "Sanghanyukseo" and "The Part of Cold damage in Uihakipmun". In case of 33.4% of the chapter of first symptom, the reference books were not found. It includes the part that the reference books were not found and also the part that Lee Cheon added his personal opinion. For this parts, the in-depth study is needed afterwards.

• Structural Engineering and Mechanics
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• v.58 no.5
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• pp.757-781
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• 2016

The results of diagnostics and analysis of an industrial hall located on the premises of a thermal power plant severely damaged by fire are presented in the paper. The comprehensive failure-related diagnostics, non-destructive and destructive tests of steel and concrete materials, geodetic surveying of selected structural members, numerical modelling, static analysis and reliability assessment were focused on two basic goals: The determination of the current technical condition of the load bearing structure and the assessment of its post fire resistance as well as assessing the degree of damage and subsequent design of reconstruction measures and arrangements which would enable the safe and reliable use of the building. The current mechanical properties of the steel material obtained from the tests and measured geometric characteristics of the structural members with imperfections were employed in finite element models to study the post-fire behaviour of the structure. In order to compare the behaviour of the numerically modelled steel roof truss, subjected to the effects of fire, with the real post-fire response of the damaged structure theoretically obtained resistance, critical temperature and the time at which the structure no longer meets the required reliability criteria under its given loading are compared with real values. A very good agreement between the simulated results and real characteristics of the structure after the fire was observed.

• Composites Research
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• v.28 no.4
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• pp.148-154
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• 2015

In order to detect damage in early stages and properly maintaining structures, the structural health monitoring technology is employed. In most cases, active-sensing SHM needs many piezoelectric (PZT) sensors and actuators. Thus, if there is a defect on PZT used for active-sensing SHM, the structural status could be misclassified. This study, for reliable SHM performance, investigated to detect defects of sensors by using the admittance-based sensor diagnostics. This study also introduced an algorithm that can diagnose sensor defects based only on data measured from the sensors in case that information about the changes in adhesive and environmental investigation, this study confirms that the proposed algorithm could be efficiently applied to real-world structures in which a significant temperature variation could take place.