• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.95-100
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• 2019

In this paper, autonomous vehicles of service with existing vehicle accident for the prevention of the vehicle communication technology, self-driving techniques, brakes automatic control technology, artificial intelligence technologies such as well and developed the vehicle accident this occur to death or has been techniques, can prepare various safety cases intended to minimize the injury. In this paper, it is a study to secure safety in autonomous vehicles. This is determined according to spatial factors such as chip signals for general low-power short-range wireless communication and micro road AI. On the other hand, in this paper, the safety of boarding is improved by checking the signal from the electronic chip, up to "recognition of the emotion from residence time in the sensing area" to the biological electronic chip. As a result of demonstrating the reliability of the world countries the world, inducing safety autonomous system of all passengers in terms of safety. Unmanned autonomous vehicle riding and commercialization will lead to AI systems and biochips (Verification), linked IoT on the road in the near future, and the safety technology reliability of the world will be highlighted.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.113-113
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• 2016

기후변화로 인한 집중호우가 빈번히 발생하고 있으며, 도시지역에서는 호우에 의한 침수피해가 더욱 빈번히 발생하고 있다. 인구와 건물이 밀집한 도시지역은 불투수율이 높아 호우 발생시 홍수 위험도가 커지고 있으며, 침수에 의한 사유재산뿐만 아닌 사회기반시설에 대한 피해도 증가하고 있다. 도시는 건물과 건물 사이로 도로 네트워크가 복잡하게 설계되어있다. 이러한 건물과 도로들은 투수성이 떨어지며, 지하공간과 건물들이 발달하여 유역지표면의 가하학적 형상이 매우 복잡하게 변화하고 있다. 도시지역은 저류 및 침투능이 부족하고, 지역의 특성에 따라 내수배제시설이 부족하여 우수관망에 대한 우수배제의 의존도가 높으며, 호우에 의한 침수와 관거 월류에 의한 침수피해 발생시 우수는 도로를 따라 저지대로 흐르며 침수지역이 넓어지게 된다. 이와 같은 도시지역의 침수를 예측하기 위한 침수해석에는 지형의 높낮이, 형상을 고려한 예측이 필요하다. 특히 건물 및 도로망이 복잡한 지역일수록 지형이 정교하게 고려되어야 한다. 지형이 적절히 고려되지 않은 침수해석은 침수예상지역을 다소 과대 또는 과소하게 나타낼 수 있고, 침수심을 제대로 반영하지 못한 결과가 도출될 수 있다. 건물과 도로가 밀집된 도시지역에서 이러한 문제가 발생할 경우 예상치 못한 지역에서 침수가 발생하여 피해를 줄 수 있으며, 이는 곧 인명과 재산피해로 이어지게 된다. 본 연구에서는 과거 침수피해가 있었던 도림천 유역을 대상으로 지형자료의 해상도에 따른 침수분석을 실시하였다. 우수관망과 도시지역의 유출모의에 적합하다고 알려진 SWMM 모형을 활용하여 LiDAR(Light Detection And Ranging), 10m DEM, 1:1,000 수치지형도를 활용하여 지형상세도의 변화에 따른 침수모의를 실시하였다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.6
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• pp.684-689
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• 2017

We examined the possibility of developing an early monitoring system using the shell valve movement activity of Pacific oyster (Crassostrea gigas) for early detection of low salinity water in coastal areas. At salinity levels of 30 psu and 20 psu, SVMs were detected $7.32{\pm}3.21times/hr$ and $7.11{\pm}3.90times/hr$, respectively, The patterns and times of SVMs were not significantly different between the two experiment phases. However, at 10 psu and 5 psu, shell valves were observed to be permanently closed in all experiments. Under combined condition (Group 1: temperature $15^{\circ}C$ ${\times}$ salinity 15 psu), SVMs were observed from 20 psu to 30 psu over a 2 - 3 hr period, and then remained closed. In Group 2 (temperature $30^{\circ}C$ ${\times}$ salinity 15 psu), SVMs were observed, which indicated that the physiological condition of the oysters reached a critical point. Thus, it may be possible to utilize SVMs as an early warning signal for low salinity water.

• Journal of the Korean Society for Railway
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• v.19 no.4
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• pp.526-538
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• 2016

The government of South Korea has made great efforts in the area of railway safety management by means of a railway safety law and an integrated railway safety plan established in 2004 after the Daegu subway fire accident. However, after certain railway incidents, a reactive railway safety management system has been implemented that has led to fatal accidents caused by the collision, derailment, and fire every year. Hence, this study is intended to propose a framework that integrates data from distributed detection devices into a real-time railway safety monitoring and control system for proactive safety management. Furthermore, we will provide a future development direction for safety performance monitoring indicators to determine whether the railway safety monitoring and control system works effectively. The proposed framework is expected to be a cornerstone for the real-time railway safety monitoring and control system to be implemented in the future.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.30-35
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• 2002

This study is for developing an algorithm to detect defects of manufactured textile fiber. We used CCD Video Input Equipments in order to capture fiber textile images. Though most of the fiber manufacturing procedures consist of automatic systems, present textile detecting systems are depending on manual inspection system. However this method is not very economical. Therefore we can expect high production rate in the fiber manufacturing area if we could develop and utilize an image processing algorithm to inspect defects of textile fiber. The study was aimed at and achieved development of an detecting algorithm using image processing methods and related mechanical system which enable to detect missing of threads, mixing of unnecessary materials, polluted areas, scars, and colour differences in the textile. Through this study we could devise a manless system for detection of fiber textile and Provide possibilities which apply the image Processing techniques to the other manufacturing inspection systems.

• Journal of Magnetics
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• v.16 no.1
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• pp.36-41
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• 2011

If gas is leaking out of gas pipelines, it could cause a huge explosion. Accordingly, it is important to ensure the integrity of gas pipelines. Traditionally, over the years, gas-operating companies have used the ILI system, which is based on axial magnetic flux leakage (MFL), to inspect the gas pipelines. Relatively, there is a low probability of detection (POD) for the axial defects with the axial MFL-based ILI. To prevent the buried pipeline from corrosion, it requires a protective coating. In addition to the potential damage to the coating by environmental factors and external forces, there could be defects on the damaged coating area. Thus, it is essential that nondestructive evaluation methods for detecting axial defects (axial cracks, axial groove) and damaged coating be developed. In this study, an electromagnetic acoustic transducer (EMAT) sensor was designed and fabricated for detecting axial defects and coating disbondment. In order to validate the performances of the developed EMAT sensor, experiments were performed with specimens from axial cracks, axial grooves, and coating disbondment. The experimental results showed that the developed EMAT sensor could detect not only the axial cracks (minimum 5% depth of wall thickness) and axial grooves (minimum 10% depth of wall thickness), but also the coating disbondment.

• Archives of Pharmacal Research
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• v.22 no.3
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• pp.288-293
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• 1999

Postabsorptive serum iron level was determined after oral administration of the compounds to human. In serum and whole blood, $Fe^{3+}$ was measured by ion chromatography (IC) using a pyridine-2,6-dicarboxylic acid (PDCA) as an eluent. The serum sample solutions were pretreated with I N HCI and 50% TCA. The whole blood sample solutions were treated with 3 N HCI for 30 min at $125^{\circ}C$. The limit of detection (LOD) of the IC technique is $0.2 {\mu}M$ for$Fe^{2+}$and 0.1 $\mu$M for $Fe^{3+}$. The area under concentration (AUC) can be obtained by the above analytical condition. In addition, to compare the stability of $Fe^{2+}$ to that of $Fe^{3+}$ in pharamaceutical preparations, accelerated stability test was carried out. After storing the samples under $40^{\circ}C$, 75%RH in light-resistant container for various time intervals, the contents of iron of different valencies were determined separately by the IC technique and the change and/or the interchange of among those iron species in preparations was investigated. Iron raw materials are stable, but $Fe^{2+}$ in$Fe^{3+}$ source materials was slightly converted to $Fe^{3+}$ by oxidation. $Fe^{2+}$ in$Fe^{3+}$ source raw materials and $Fe^{3+}$ in $Fe^{2+}$ raw materials are determined as impurities. Therefore, IC technique is found to be an appropriate method for comparative evaluation of dissimilar bioavailability of $Fe^{2+}$ and $Fe^{3+}$, stability of $Fe^{2+}$ and $Fe^{3+}$ raw materials and preparations.

• Nano
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• v.13 no.11
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• pp.1850131.1-1850131.19
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• 2018

In this paper, an electrochemical sensor for epinephrine (EP), a neurotransmitter was developed by anchoring molecularly imprinted polymeric matrix (MIP) on the surface of gold-coated quartz crystal electrode of electrochemical quartz crystal microbalance (EQCM) using starch nanoparticles (Starch NP) - reduced graphene oxide (RGO) nanocomposite as polymeric format for the first time. Use of EP in therapeutic treatment requires proper dose and route of administration. Proper follow-up of neurological disorders and timely diagnosis of them has been found to depend on EP level. The MIP sensor was developed by electrodeposition of starch NP-RGO composite on EQCM electrode in presence of template EP. As the imprinted sites are located on the surface, high specific surface area enables good accessibility and high binding affinity to template molecule. Differential pulse voltammetry (DPV) and piezoelectrogravimmetry were used for monitoring binding/release, rebinding of template to imprinted cavities. MIP-coated EQCM electrode were characterized by contact angle measurements, AFM images, piezoelectric responses including viscoelasticity of imprinted films, and other voltammetric measurements including direct (DPV) and indirect (using a redox probe) measurements. Selectivity was assessed by imprinting factor (IF) as high as 3.26 (DPV) and 3.88 (EQCM). Sensor was rigorously checked for selectivity in presence of other structurally close analogues, real matrix (blood plasma), reproducibility, repeatability, etc. Under optimized conditions, the EQCM-MIP sensor showed linear dynamic ranges ($1-10{\mu}M$). The limit of detection 40 ppb (DPV) and 290 ppb (EQCM) was achieved without any cross reactivity and matrix effect indicating high sensitivity and selectivity for EP. Hence, an eco-friendly MIP-sensor with high sensitivity and good selectivity was fabricated which could be applied in "real" matrices in a facile manner.

• Parasites, Hosts and Diseases
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• v.57 no.3
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• pp.233-242
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• 2019

Detailed description of malaria in low transmission areas is crucial for elimination. The current study aimed to provide a comprehensive description for malaria transmission in Jazan, a low transmission district, southwestern Saudi Arabia. Patients at a tertiary care hospital were recruited in our study between August 2016 and September 2018. Malaria diagnosis was performed through a species-specific nested polymerase chain reaction (nested PCR), microscopy and Paramax-$3^{TM}$ rapid detection test (RDT). Malaria was detected in 30 patients by the PCR, with point prevalence of 10.9%. Of these malaria infections, 80% was imported, 26.6% was asymptomatic and 23.3% was sub-microscopic. Malaria was reported throughout the year, with February/March and September/October peaks. Infection was significantly more in males than in females (P=0.01). Likewise, infections were detected more in febrile than in non-febrile patients (P=0.01). Adult aged 15-24 years, fever and travel were identified as high-risk factors. Malaria was primarily attributed to Plasmodium falciparum mono-infections, followed by P. vivax mono-infections and lastly to falciparum/vivax mixed infections accounting 76.6%, 16.6%, and 6.6% of PCR-confirmed malaria cases, respectively. The nested PCR was superior to the smear microscopy (sensitivity 76.6%; specificity 100%) and the RDT (sensitivity 83.3%, specificity 94.2%). The overall percent agreement between microscopy and the RDT was 92.7% (kappa=0.63). High proportion of imported malaria including sub-microscopic and sub-patent cases were described. We suggest that incorporation of molecular tool into the conventional malaria diagnosis is beneficial in Jazan district.

• Geophysics and Geophysical Exploration
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• v.21 no.4
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• pp.244-254
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• 2018

The first geophysical technique applied to the agricultural sector in Korea was electrical resistivity sounding and conducted in purpose of groundwater exploitation in the 1970s. According to the diversity of agricultural activities since the 1990s, various geophysical methods including electrical resistivity, electromagnetic induction, and self-potential method were applied to several agricultural fields such as soil characterization with saline concentration in vast reclaimed area, delineation of seawater intrusion regions in costal aquifer, safety inspection of embankment dikes with leakage problem, detection of ground subsidence from overpumping and tracing of groundwater aquifer contamination by leachate from livestock mortality burial or waste burial site. This paper introduces representative geophysical techniques that have been utilized in various agricultural fields and suggests several ways to develop the geophysical methods required for the precision agriculture field in the near future based on the past achievements.