• Journal of Arbitration Studies
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• v.11 no.1
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• pp.217-245
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• 2001

Like traditional commerce, disputes are bound to arise in the course of conducting an e-commerce transaction. At present of June 30, 2001, 259 cases of dispute on e-commerce have been applied for the mediation of Electronic Transaction Dispute Mediation Committee, types of them are 170 cases of delayed delivery of commodity, 21 cases of contract cancellation and refund, 16 cases of personal information protection, 16 cases of false and exaggerated advertisement, 14 cases of commodity defect. The settlement systems of e-commerce dispute are litigation and Alternative Dispute Resolution(ADR). ADR encompasses mediation, arbitration, and similar private tools for resolving disputes. ADR offers many perceived advantages. Speed of resolution and low cost are often cited as the primary benefits. Therfore e-commerce disputes may be settled more effectively by litigation. The settlement systems of e-commerce dispute by ADR are the mediation of Electronic Transaction Dispute Mediation Committee, the mediation of Consumer Dispute Mediation Commercial Arbitration Board, and the arbitration of Korean Commerical Arbitration Board. E-commerce sets up the probability that its merchants and customers will not exist in the same legal jurisdictions. The confusing application of laws and wide geographical dispersion of these parties will necessitate a faster and cheaper dispute resolution methodology. Therefore, online ADR may be effective for e-commerce dispute resolution. The examples of online ADR opetation are the cyber mediation of Electronic Transaction Dispute Resolution Committee, the cyber mediation of Korean Commercial Arbitration Board, the cyber mediation of Click N Settle, the online ADR of BBB online, and the cyber arbitration of virtual Magistrate.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.47 no.12
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• pp.24-30
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• 2010

In recent memories, repair is an unavoidable method to maintain its yield and quality. The probability of defect occurence on spare lines has been increased through the growth of the density of recent memories with 2 dimensional spare architecture. In this paper, a new analysis region virtualization scheme is proposed. the analysis region virtualization scheme can be applied with any BIRA (built-in redundancy analysis) algorithms without the loss of their repair rates. The analysis region virtualization scheme can be a viable solution for BIRA considering the faulty spare lines of the future high density memories.

• Journal of Preventive Medicine and Public Health
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• v.45 no.3
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• pp.188-195
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• 2012

Objectives: This study was conducted to examine the association between health condition and leaving the labor market among middle-aged and older adults in South Korea. Methods: Data was obtained from individuals aged 45 years and older participating in the 2006 and 2008 Korean Longitudinal Study of Ageing. We used various health measures including chronic diseases, comorbidities, traffic accident injuries, disabilit of instrumental activities of daily living, depressive symptoms, and self-rated health. The odds ratios of job loss, and retirement, versus employment were calculated using multinomial logistic regression by each health measure. Results: In our cross-sectional and longitudinal analysis, health problems related to physical disabilities had the greatest effect on leaving the worksite. A shift in health condition from good to poor in a short period was a predictor of increased risk of unemployment but a persistent pattern of health problems was not associated with unemployment. Women with health problems showed a high probability of retirement, whereas among men, health problems instantly the possibility of both job loss and retirement. Conclusions: Health problems of middle aged and older workers were crucial risk factors for retirement and involuntarily job loss. Especially functional defect and recent health problems strongly and instanty affected employment status.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.5
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• pp.343-350
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• 2016

Remaining lifetime prediction of the underground gas pipeline plays a key role in maintenance planning and public safety. One of main causes in the pipeline failure is metal corrosion. This paper deals with estimating the pipeline reliability in the presence of corrosion defects. Because a pipeline has uncertainty and variability in its operation, probabilistic approximation approaches such as first order second moment (FOSM), first order reliability method (FORM), second order reliability method (SORM), and Monte Carlo simulation (MCS) are widely employed for pipeline reliability predictions. This paper presents a fuzzy inference based reliability method (FIRM). Compared with existing methods, a distinction of our method is to incorporate a fuzzy inference into quantifying degrees of variability in corrosion defects. As metal corrosion depends on the service environment, this feature makes it easier to obtain practical predictions. Numerical experiments are conducted by using a field dataset. The result indicates that the proposed method works well and, in particular, it provides more advisory estimations of the remaining lifetime of the gas pipeline.

• Proceedings of the KIEE Conference
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• 2006.10a
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• pp.143-144
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• 2006

Since one decade. the detection of High frequency Partial Discharge has been proposed as one of the effective method for the diagnosis of the power component under service in power grids. As a tool for this detection. UHF sensor based on the antenna technology has been commercialized for mainly GIS due to its advantages. However, regarding the recognition of the vital defects introducible into the GIS. different types of softwares have been proposed and employed without any convincing probability of identification. In this regards, our work leads us to suggest a novel method named "PA Map" to identify the defects inside the GIS based on the HFPD detection by use of HFCT sensor which is designed according to our patent.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.2 no.2
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• pp.259-266
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• 1998

406MHz and INMARSAT-E EPIRB facility transmits the distress alerts by the relay of the polar-satellites and INTELSAT, but may cause the probability of delayed transmission because of the orbital period and not compliance with the implementation of GMDSS rules for small ships in A1 area.. Digital Selective Calling forms a critical part of the terrestrial elements of the GMDSS system and ensures the reliability and the efficiency in the system. In this paper, we suggests that new DSC EPIRB in the VHF band to overcome this defect for small ships in A1 area, and analyze the ITU-R recommendations and technical characteristics, design and implement the algorithm of calling sequences, frequency synthesizer for the RF signal and FSK moulation signals.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.651-656
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• 2014

Corrosion has a significant influence upon the reliability assessment and the maintenance planning of gas pipeline. Corrosion defects occurred on the underground pipeline can be obtained by conducting periodic in-line inspection (ILI). However, little study has been done for practical use of ILI data. This paper deals with remaining lifetime prediction of the gas pipeline in the presence of corrosion defects. Because a pipeline parameter includes uncertainty in its operation, a probabilistic approach is adopted in this paper. A pipeline fails when its operating pressure is larger than the pipe failure pressure. In order to estimate the failure probability, this paper uses First Order Reliability Method (FORM) which is popular in the field of structural engineering. A well-known Battelle code is chosen as the computational model for the pipe failure pressure. This paper develops a Matlab GUI for illustrating failure probability predictions Our result indicates that clustering of corrosion defects is helpful for improving a prediction accuracy and preventing an unnecessary maintenance.

• Fire Science and Engineering
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• v.26 no.4
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• pp.31-41
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• 2012

This study collected 5,100 cases of gas accident occurred in Korea for 14 years from 1995 to 2008, established Database and based on it, analyzed them by detailed forms and reasons. As the result of analyzing the whole city gas accidents with Poisson analysis, the item of "Careless work-Explosion-Pipeline' showed the highest rate of accidents for the next 5 years. And, "Joint Losening and corrosion-Release-Pipeline" showed the lowest rate of accident. In addition, for the result of analyzing only accidents related to LPG vaporizer, "LPG-Vaporizer-Fire" showed the highest rate of accident and "LPG-Vaporizer-Products Faults" showed the lowest rate of accident. Also, as the result of comparing and analyzing foreign LPG accident accompanied by Jet fire, facility's defect which is liquid outflow cut-off device and heat exchanger's defect were analyzed as the main reason causing jet fire, like the case of Korea, but the number of accidents for the next 5 years was the highest in "LPG-Mechanical-Jet fire" and "LPG-Mechanical-Vapor Cloud" showed the highest rate of accidents. By grafting Poisson distribution theory onto gas accident expecting program of the future, it's expected to suggest consistent standard and be used as the scale which can be used in actual field.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.91-98
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• 2023

Recently, according to development of artificial intelligence, a wide range of industry being automatic and optimized. Also we can find out some research of using supervised learning for deteceting defect of railway in domestic rail industry. However, there are structures other than rails on the track, and the fastener is a device that binds the rail to other structures, and periodic inspections are required to prevent safety accidents. In this paper, we present a method of reducing cost for labeling using semi-supervised and transfer model trained on rail fastener data. We use Resnet50 as the backbone network pretrained on ImageNet. At first we randomly take training data from unlabeled data and then labeled that data to train model. After predict unlabeled data by trained model, we adopted a method of adding the data with the highest probability for each class to the training data by a predetermined size. Futhermore, we also conducted some experiments to investigate the influence of the number of initially labeled data. As a result of the experiment, model reaches 92% accuracy which has a performance difference of around 5% compared to supervised learning. This is expected to improve the performance of the classifier by using relatively few labels without additional labeling processes through the proposed method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.12A
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• pp.1922-1931
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• 1999

A multicast traffic’s feature is the function of providing a point to multipoints cell transmission, which is emerging from the main function of ATM switch. However, when a conventional point-to-point switch executes a multicast function, the excess load is occurred because unicast cell as well as multicast cell passed the copy network. Additionally, due to the excess load, multicast cells collide with other cells in a switch. Thus a deadlock that losses cells raises, extremely diminishes the performance of switch. An input queued switch also has a defect of the HOL (Head of Line) blocking that less lessens the performance of the switch. In the proposed multicast switch, we use shared memory switch to reduce HOL blocking and deadlock. In order to decrease switch’s complexity and cell's processing time, to improve a throughput, we utilize the method that routes a cell on a separated paths by traffic pattern and the scheduling algorithm that processes a maximum 2N cell at once in the control part. Besides, when cells is congested at an output port, a cell loss probability increases. Thus we use the Output Memory (OM) to reduce the cell loss probability. And we make use of the method that stores the assigned memory (UM, MM) with a cell by a traffic pattern and clears the cell of the Output memory after a fixed saving time to improve the memory utilization rate. The performance of the proposed switch is executed and compared with the conventional policy under the burst traffic condition through both the analysis based on Markov chain and simulation.