• The KIPS Transactions:PartB
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• v.18B no.3
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• pp.117-130
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• 2011

The purpose of this study is to produce a better way to detect crossroad accidents, which involves an efficient method to produce background images in consideration of object movement and preserve/demonstrate the candidate accident region. One of the prior studies proposed an employment of traffic signal interval within crossroad to detect accidents on crossroad, but it may cause a failure to detect unwanted accidents if any object is covered on an accident site. This study adopted inverse perspective mapping to control the scale of object, and proposed different ways such as producing robust background images enough to resist surrounding noise, generating candidate accident regions through information on object movement, and by using edge information to preserve and delete the candidate accident region. In order to measure the performance of proposed algorithm, a variety of traffic images were saved and used for experiment (e.g. recorded images on rush hours via DVR installed on crossroad, different accident images recorded in day and night rainy days, and recorded images including surrounding noise of lighting and shades). As a result, it was found that there were all 20 experiment cases of accident detected and actual effective rate of accident detection amounted to 76.9% on average. In addition, the image processing rate ranged from 10~14 frame/sec depending on the area of detection region. Thus, it is concluded that there will be no problem in real-time image processing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.55-62
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• 2010

Monitoring systems are able to report certain events at region of interest(ROI) and to take an appropriate action. From industrial product line full of robots to fire detection, intrusion detection, smart grid application, environmental pollution alarm system, monitoring system has widely used in diverse industry sector. Recently, due to advance of wireless communication technology and availability of low cost sensors, intelligent and/or smart monitoring systems such as sensor networks has been developed. Several deployment methods are introduced to meet various monitoring needs and deployment performance criteria are also summarized to be used to identify weak point and be useful at designing monitoring systems. Both efficiency during deployment and usefulness after the deployment should be assessed. Efficiency factors during deployment are elapsed time, energy required, deployment cost, safety, sensor node failure rate, scalability. Usefulness factors after deployment are ROI coverage, connectivity, uniformity, target density similarity, energy consumption rate per unit time and so on.

• Nuclear Engineering and Technology
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• v.55 no.10
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• pp.3648-3658
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• 2023

The early localization of a fuel subassembly with a failed (wet rupture) fuel pin is very important in reactors to limit the associated radiological and operational consequences. This requires a fast and reliable system for failure detection and their localization in the core. In the Prototype Fast Breeder Reactor, the system specially designed for this purpose is Failed Fuel Location Modules (FFLM) housed in the control plug region. It identifies a failed sub-assembly by detecting the presence of delayed neutrons in the sodium from a failed sub-assembly. During the commissioning phase of PFBR, it is mandatory to demonstrate the FFLM effectiveness. The paper highlights the engineering and physics design aspects of FFLM and the integrated simulation towards its function demonstration with a source assembly containing a perforated metallic fuel pin. This test pin mimics a MOX pin of 1 cm² of geometrical defect area. At 10% power and 20% sodium flow rate, the counts rate in the BCCs of FFLM system range from 75 cps to 145 cps depending upon the position of DN source assembly. The model developed for the counts simulation is applicable to both metal and MOX pins with proper values of k-factor and escape coefficient.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.8C
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• pp.1034-1039
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• 2004

Since the major reason of the detection failure is from the consecutive data transitions, it is desirable to limit the MTR(maximum transition run) within two. Therefore, we propose a new MTR code that limits the MTR constraint to 2 and k-constraint to 8. In addition, DC-free coding is performed to overcome the media noise that exits in low frequency of perpendicular recording system. We use a GS (Guided Scrambling) for DC-free coding, and the performance of the code is compared with that of the rate 819 code used in the conventional recording channel by a computer simulation.

• Clinical and Experimental Reproductive Medicine
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• v.19 no.2
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• pp.169-174
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• 1992

Previous studies have indicated that immunological factor is responsible for the infertility. We have detected sperm antibodies in ZIFT patients which grouped as fertilization failure (A; n=18) and low fertilization rate (${\leq}50%$)(B; n=20). Patients, however, had normal oocytes and sperms. We collected serum from wives and semen from husbands and donors (fertile sperm), if it was needed. We examined class, binding patterns and amounts of antisperm antibodies(ASA) by direct and indirect immunobead binding assay. In group A, 11 husbands were ASA positive showing 62.2% and 61.1% binding with IgA and IgG, respectively, and two wives were ASA positive showing 70.0% and 71.0% binding with IgA and IgG, respectively. Binding sites were mainly at the head of sperms (84%). In group B, 8 husbands were ASA positive showing 37.5% and 40.0% binding with IgA and IgG, respectively, and two wives were ASA positive showing 41.3% and 42.0% binding with IgA and IgG, respectively. Binding sites were also mainly at the head of sperms (78%). For the treatment of ZIFT patients who had fertilization failure at the first trial, we used albumin fractionation method and dilution method with 30% fetal cord serum (FCS) to reduce the titer of ASA. We used partial zona dissection (P.Z.D.) method for wives who have antisperm antibodies in their serum. According to represented method, we could inhance the fertilization rate to 60.0% by albumin fractionation and 20.0% by P.Z.D., respectively. We concluded that the use of micromanipulation like P.Z.D. or the other sperm processing methods is required to increase a chance of fertilization. This result suggested that it should be a prerequisite to test antisperm antibodies prior to entering assisted reproductive technologies (ART) programs.

• Journal of Korea Water Resources Association
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• v.51 no.8
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• pp.703-711
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• 2018

Water distribution system (WDS) pipe bursts are caused from excessive pressure, pipe aging, and ground shift from temperature change and earthquake. Prompt detection of and response to the failure event help prevent large-scale service interruption and catastrophic sinkhole generation. To that end, this study proposes a improved Western Electric Company (WECO) method to improve the detection effectiveness and efficiency of the original WECO method. The original WECO method is an univariate Statistical Process Control (SPC) technique used for identifying any non-random patterns in system output data. The improved WECO method multiples a threshold modifier (w) to each threshold of WECO sub-rules in order to control the sensitivity of anomaly detection in a water distribution network of interest. The Austin network was used to demonstrated the proposed method in which normal random and abnormal pipe flow data were generated. The best w value was identified from a sensitivity analysis, and the impact of measurement frequency (dt = 5, 10, 15 min etc.) was also investigated. The proposed method was compared to the original WECO method with respect to detection probability, false alarm rate, and averaged detection time. Finally, this study provides a set of guidelines on the use of the WECO method for real-life WDS pipe burst detection.

• Journal of agricultural medicine and community health
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• v.32 no.3
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• pp.125-138
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• 2007

Objectives: This retrospective study is to identify related factors of treatment success of patients with tuberculosis at community health centers. Methods: The subjects of this study were 1,417 patients with tuberculosis treated in 28 community health centers. The predictors of tuberculosis treatment success were analyzed in terms of 2 areas, which were characteristics of patients and health centers(TB control program). The characteristics of patients consist of 2 factors, such as demographic & diagnosis and treatment. The present conditions of health centers consist of 3 factors, location of centers, resources, and community activities. Data were analysed using X2- test and logistic regression methods. Results: The significant differences between success group and failure group were sex(p=0.003), age(p=0.013), job(p=0.000), type of patients(p=0.001), past history(p=0.029), BCG injection(p=0.009), sputum culture examination(p=0.017), period of treatment(p=0.000), location of center(p=0.001), population per staff(p=0.015), FTE(p=0.027), education days of staff(p=0.005), BCG injection rate(p=0.001), case detection rate (p=0.003), and health education provision rate(p=0.044). Then these variables were analysed using logistic regression analysis. Significant positive factors of treatment success were occupation(95% CI:1.3-6.1), periods of treatment(95% CI:1.5-2.2), center in large city(95% CI:1.2-16.7), center in middle city(95% CI:2.1-24.3), job education related TB(95% CI:1.02-1.3), and BCG injection rate(95% CI:1.1-303.4). Significant negative factors of treatment success were male(95% CI:0.1-0.5) and treatment after default(95% CI:0.005-0.5). Conclusions: Tuberculosis is still one of serious diseases in Korea, because it causes highest mortality rate among OECD countries. This study may provide information to improve treatment effectiveness of tuberculosis at community health centers.

• The Korean Journal of Nuclear Medicine
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• v.19 no.1
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• pp.127-136
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• 1985

To evaluate change of serum $beta_2-microglobulin$ concentration$(s\beta_2-MG)$ and the usefulness of $s\beta_2-MG$ and $s\beta_2-MG/serum$ creatinine concentration(sCr) ratio in various renal diseases, $s\beta_2-MG$ and sCr were measured in 25 normal controls and 90 patients of various renal diseases(16 cases of glomerulonephritis, 12 cases of acute renal failure, 8 cases of chronic renal failure, 24 cases of nephrotic syndrome, 15 cases of tubulointerstitial diseases and 15 cases of lupus nephritis) using $Phadebas^\circledR$ $Beta_2-Micro$ Test kits. The results were as follows; 1) In normal control, the mean value of $s\beta_2-MG$ was $1.65{\pm}0.41mg/l$ and the mean value of $s\beta_2-MG/sCr$ ratio was $0.14{\pm}0.05$. 2) In various renal diseases, the mean value of $s\beta_2-MG$ was $6.74{\pm}5.47mg/l$. The mean value of $s\beta_2-MG/sCr$ ratio was $0.24{\pm}0.11$ and significantly elevated than that of normal control. (p<0.05) 3) The correlation between $s\beta_2-MG$ and sCr in glomerular and tubulointerstitial disease was log $s\beta_2-MG-0.90$ log sCr-0.48 and its correlation coefficient was 0.78(p<0.05). 4) In glomerular disease, the correlation between $s\beta_2-MG$ and sCr was log $s\beta_2-MG-0.89$ log sCr-0.46(r - 0.76) and in tubulointerstitial disease, it was log, $s\beta2-MG-0.95$ log sCr-0.59 (r-0.87). There was no significant difference between the two groups(p<0.05). 5) Among 32 cases of glomerular and tubulointerstitial disease patients, whose sCr was within normal range, 17 cases showed elevated $s\beta_2-MG$. The mean values of $s\beta_2-MG/sCr$ ratio in these patients was $0.30{\pm}0.14$ and significantly elevated than that of normal control(p<0.05). 6) In 15 cases of lupus nephritis, 12 cases showed elevated $s\beta_2-MG$ with normal sCr and 12 cases showed elevated $s\beta_2-MG/sCr$ ratio. With above results, it was found that the $s\beta_2MG$ can be used as an index of glomerular filtration rate as in the case of sCr and that $s\beta_2-MG/sCr$ ratio can be used as a tool in early detection of slightly decreased glomerular filtration rate and in detection of the renal disease of increased $\beta_2-MG$ production.

• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.77-82
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• 2017

In the splay manufacturing process, conveyor systems are widely used for conveying panels. In this conveyor, a large number of grounding lines are used in order to prevent a product failure due to static electricity. In many cases, the grounding line is disconnected due to the rotation of the transporting roller or curling, leading to product failure. In order to solve such a problem, there is a growing need for a system capable of detecting disconnection of a ground wire in real time. Therefore, in this paper, we propose a disconnection monitoring system of ESD (Electro-Static Discharge) ground wire caused by friction between the conveyor drive part and the panel. The proposed system is a monitoring system that can detect disconnection and disconnection of ground wire using ATmega 2560 and Wheatstone Bridge circuit. It can detect disconnection of ground wire immediately and can take measures to reduce the defect rate due to static electricity. The system proposed in this paper is expected to be applicable to the production and test equipments of all industries where the ground wire is used.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.1
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• pp.1-9
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• 2008

The Logistic cone is studied as a most desirable for the software testing effort. Assuming that the error detection rate to the amount of testing effort spent during the testing phase is proportional to the current error content, a software-reliability growth model is formulated by a nonhomogeneous Poisson process. Using this model the method of data analysis for software reliability measurement is developed. After defining a software reliability, This paper discusses the relations between testing time and reliability and between duration following failure fixing and reliability are studied SRGM in several literatures has used the exponential curve, Railleigh curve or Weibull cure as an amount of testing effort during software testing phase. However, it might not be appropriate to represent the consumption curve for testing effort by one of already proposed curves in some software development environments. Therefore, this paper shows that a logistic testing- effort function can be adequately expressed as a software development/testing effort curve and that it gives a good predictive capability based on real failure data.