• 대한화학회지
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• 제57권1호
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• pp.25-34
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• 2013

The efficiency of three complex surfactants based on sunflower oil and nitrogen containing compounds as corrosion inhibitors for mild steel in $CO_2$-saturated 1% NaCl solution, has been determined by weight loss and LPR corrosion rate measurements. These compounds inhibit corrosion even at very low concentrations. The inhibition process was attributed to the formation of an adsorbed film on the metal surface that protects the metal against corrosive media. The inhibition efficiency increases with increasing the concentration of the studied inhibitors. Maximum inhibition efficiency of the surfactants is observed at concentrations around its critical micellar concentration (CMC). Adsorption of complex surfactants on the mild steel surface is in agreement with the Langmuir adsorption isotherm model, and the calculated Gibbs free energy values confirm the chemical nature of the adsorption. Energy dispersive X-ray fluorescence microscopy (EDRF) observations of the electrode surface confirmed the existence of such an adsorbed film.

• 한국산업융합학회 논문집
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• 제24권5호
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• pp.555-562
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• 2021

In this paper, we propose a sorting method for extracting accurate license plate information, which is currently used in Korea, after detecting objects using YOLO. We propose sorting methods for the five types of vehicle license plates managed by the Ministry of Land, Infrastructure and Transport by classifying the plates with the number of lines, Korean characters, and numbers. The results of experiments with 5 license plates show that the proposed algorithm identifies all license plate types and information by focusing on the object with high reliability score in the result label file presented by YOLO and deleting unnecessary object information. The proposed method will be applicable to all systems that recognize license plates.

• 한국통신학회논문지
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• 제38C권12호
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• pp.1114-1125
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• 2013

License Plate Detection (LPD) is a key component in automatic license plate recognition system. Despite the success of License Plate Recognition (LPR) methods in the past decades, the problem is quite a challenge due to the diversity of plate formats and multiform outdoor illumination conditions during image acquisition. This paper aims at automatical detection of car license plates via image processing techniques. In this paper, we proposed a real-time and robust method for license plate detection using Heuristic Energy Map(HEM). In the vehicle image, the region of license plate contains many components or edges. We obtain the edge energy values of an image by using the box filter and search for the license plate region with high energy values. Using this energy value information or Heuristic Energy Map(HEM), we can easily detect the license plate region from vehicle image with a very high possibilities. The proposed method consists two main steps: Region of Interest (ROI) Detection and License Plate Detection. This method has better performance in speed and accuracy than the most of existing methods used for license plate detection. The proposed method can detect a license plate within 130 milliseconds and its detection rate is 99.2% on a 3.10-GHz Intel Core i3-2100(with 4.00 GB of RAM) personal computer.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권10호
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• pp.3490-3507
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• 2014

License plate detection (LPD) is one of the most important aspects of an automatic license plate recognition system. Although there have been some successful license plate recognition (LPR) methods in past decades, it is still a challenging problem because of the diversity of plate formats and outdoor illumination conditions in image acquisition. Because the accurate detection of license plates under different conditions directly affects overall recognition system accuracy, different methods have been developed for LPD systems. In this paper, we propose a license plate detection method that is rapid and robust against variation, especially variations in illumination conditions. Taking the aspects of accuracy and speed into consideration, the proposed system consists of two stages. For each stage, Haar-like features are used to compute and select features from license plate images and a cascade classifier based on the concatenation of classifiers where each classifier is trained by an AdaBoost algorithm is used to classify parts of an image within a search window as either license plate or non-license plate. And it is followed by connected component analysis (CCA) for eliminating false positives. The two stages use different image preprocessing blocks: image preprocessing without adaptive thresholding for the first stage and image preprocessing with adaptive thresholding for the second stage. The method is faster and more accurate than most existing methods used in LPD. Experimental results demonstrate that the LPD rate is 98.38% and the average computational time is 54.64 ms.

• 한국콘텐츠학회논문지
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• 제12권3호
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• pp.9-16
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• 2012

스마트시티 프로젝트의 일환으로 실시간 차량 번호판 인식에 관한 연구들이 활발하게 진행되고 있다. 도로상에 설치된 CCTV에서 트리거 신호 없이 주행하는 차량 영상을 획득할 경우에는 번호판의 기하학적 왜곡이나 화질의 저하가 발생하여 번호판 인식이 어려워 질 수 있다. 본 논문에서는 트리거 신호를 이용하지 않은 상태에서 입력되어 기하학적 왜곡이나 화질의 저하가 발생된 차량 영상에도 강한 에지기반 문자 세그먼트 영상생성 기법의 차량 번호판 인식시스템을 제안하였다. 제안한 실시간 차량 번호판 인식 알고리즘을 도로상에 설치된 CCTV에 구현하고 일주일 동안 번호판 인식 실험을 수행해 본 결과 1일 평균 1,535 대의 통과 차량에 대해서 97.5%의 번호판 검출률을 얻을 수 있었으며 검출된 번호판에 기록된 문자들의 99.3%를 인식할 수 있었다.

• Molecules and Cells
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• 제38권5호
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• pp.441-451
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• 2015

Recognition of cytosolic DNA initiates a series of innate immune responses by inducing IFN-I production and subsequent triggering JAK1-STAT1 signaling which plays critical roles in the pathogenesis of infection, inflammation and autoimmune diseases through promoting B cell activation and antibody responses. The stimulator of interferon genes protein (STING) has been demonstrated to be a critical hub of type I IFN induction in cytosolic DNA-sensing pathways. However, it still remains unknown whether cytosolic DNA can directly activate the JAK1-STAT1 signaling or not. And the role of STING is also unclear in this response. In the present study, we found that dsDNA directly triggered the JAK1-STAT1 signaling by inducing phosphorylation of the Lyn kinase. Moreover, this response is not dependent on type I IFN receptors. Interestingly, STING could inhibit dsDNA-triggered activation of JAK1-STAT1 signaling by inducing SHP-1 and SHP-2 phosphorylation. In addition, compared with normal B cells, the expression of STING was significantly lower and the phosphorylation level of JAK1 was significantly higher in B cells from MRL/lpr lupus-prone mice, highlighting the close association between STING low-expression and JAK1-STAT1 signaling activation in B cells in autoimmune diseases. Our data provide a molecular insight into the novel role of STING in dsDNA-mediated inflammatory disorders.

• 전기화학회지
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• 제13권2호
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• pp.96-102
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• 2010

본 연구에서는 균일부식이 발생하는 저합금강의 노출면적에 따른 부식속도의 변화를 관찰하고 이에 대한 원인을 규명하고자 하였다. 다양한 표면적을 지닌 동일한 저합금강 시편의 부식속도를 전기 화학적 임피던스 분광법, 직선분극저항 측정법, 동전위 분극 시험법을 이용하여 산출하였다. 또한 전자주사현미경, X선 광전자 분광법 및 X선 전자탐침 미량분석을 이용하여 표면분석을 실시하였다. 전기화학적 시험 결과 모든 시험법에서 시편의 크기가 증가할수록 부식속도가 높게 산출되었으며, 표면분석을 통해 망간과 황으로 구성된 화합물이 존재하는 영역에서 우선적으로 부식이 발생하며, 이 화합물과 철 또는 구리 산화물이 소양극-대음극의 미세 갈바닉 셀을 구성함을 확인하였다. 이러한 효과는 시편 크기에 비례하여 증가하였으며, 국부적인 부식이 우선적으로 발생한 후, 부식생성물이 표면을 덮게 되어 점차 균일부식의 형태로 전환하게 된다.

• 말소리와 음성과학
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• 제2권4호
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• pp.165-171
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• 2010

Vocal process granuloma can occur commonly by laryngopharyngeal reflux (LPR), vocal abuse or misuse. It has been reported that voice therapy is employed with medication therapy for the patients who has vocal process granuloma, however research about effect of voice therapy can be hardly founded. For that matter, the primary aim of this study was to evaluate the effect of therapeutic method we implement. Thirty one patients who has been diagnosed with vocal process granuloma from January, 2007 to June, 2009 participated in this study. 19 patients among them are provided voice therapy and medication, 12 patients take only medication. Voice therapy is implemented ranging from 5 to 19 sessions (mean: 8.6 sessions). We provided explanation about problem each patient has, voice rest, SKMVTT$^{(R)}$, abdominal breathing, and relaxation in session. All subjects were examined by videostroboscopy, perceptual assessment, acoustic and aerodynamic measures. Consequantly, the greater part of the patients (78.9%) who is treated by voice therapy and medication are confirmed disappearance or decrease of granuloma, it shows better results compared with the group provided only medication (66.7%). Especially, the period of drug administration is 3.7 months in the group runs parallel with voice therapy, the period of other group is 7.8 months. The results of acoustic and aerodynamic measures after treating indicates there are significant decrease in Jitter, Shimmer, and NHR, and increase in MPT, Psub (p<.05). However, there is no large difference statistically even though voice quality has improved since the therapy. In conclusion, it is verified that the voice therapy to the vocal process granuloma patients taking medication is effectual method, we recommend combining voice therapy with medication when treatment is needed for the vocal process granuloma patients.

• 한국산업융합학회 논문집
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• 제24권6_2호
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• pp.699-706
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• 2021

Existing license plate recognition system is used as an optical character recognition method, but a method of using deep learning has been proposed in recent studies because it has problems with image quality and Korean misrecognition. This requires a lot of data collection, but the collection of license plates is not easy to collect due to the problem of the Personal Information Protection Act, and labeling work to designate the location of individual license plates is required, but it also requires a lot of time. Therefore, in this paper, to solve this problem, five types of license plates were created using a virtual Korean license plate generation program according to the notice of the Ministry of Land, Infrastructure and Transport. And the generated license plate is synthesized in the license plate part of collectable vehicle images to construct 10,147 learning data to be used in deep learning. The learning data classifies license plates, Korean, and numbers into individual classes and learn using YOLOv5. Since the proposed method recognizes letters and numbers individually, if the font does not change, it can be recognized even if the license plate standard changes or the number of characters increases. As a result of the experiment, an accuracy of 96.82% was obtained, and it can be applied not only to the learned license plate but also to new types of license plates such as new license plates and eco-friendly license plates.

• 한국도서관정보학회지
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• 제37권4호
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• pp.351-370
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• 2006

본 연구는 도서관 장기발전계획에 대한 점검과 평가를 통하여 도서관에서 전략적 계획수립이 갖는 의미를 재인식하고, 나아가 B대학교 학술정보관의 수립사례에 대한 집중적인 탐구와 분석을 통하여 타산지석의 교훈을 얻고자 한 것이다. 이를 위하여 SMART 평가기법을 도입하여 B대학교 학술정보관 장기발전계획에 명시된 비전, 사명, 핵심전략, 실행계획에 대하여 각각의 구체성, 측정가능성, 달성가능성, 적실성, 시간계획성을 측정, 평가하였다. 본 연구의 결과, 얻어진 결론은 다음과 같다. 첫째, B대학교 학술정보관의 비전은 Be the Smart Library, 사명은 Initiative User, Intelligent Environment, Informative Content, 핵심전략은 이용자정보소양 강화. $24{\times}7$서비스 실현, 주제별조직 활성화. 5A(Any time, where, service, device, network) 실현, Broadbanding LPR(Library Public Relations), Intelligent 건물구축, E-자원 확충, 정보자원수집과 관리의 경제성 확보, U-library 구현이다. 둘째, SMART 평가결과, B대학교 학술정보관의 비전은 3.80, 사명은 3.97 핵심전략은 3.74, 실행계획은 3.64이다. 셋째, B대학교 학술정보관 장기발전계획의 구체성은 4.06, 측정가능성은 3.72, 달성가능성은 3.68, 적실성은 3.90, 시간계획성은 3.58이다. 넷째, B대학교 학술정보관의 장기발전계획을 종합평가한 결과, 발전계획 구성 요소에서는 사명이 가장 우수한 반면, 실행계획에는 문제가 있다. 다섯째, SMART 평가 요소에서는 구체성이 가장 우수한 반면, 시간계획성에는 문제가 있어 보완이 필요하다.