• KIPS Transactions on Software and Data Engineering
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• v.7 no.1
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• pp.9-18
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• 2018

Recently, the use of image stitching technology has been increasing as the number of contents based on virtual reality increases. Image Stitching is a method for matching multiple images to produce a high resolution image and a wide field of view image. The image stitching is used in various fields beyond the limitation of images generated from one camera. Image Stitching detects feature points and corresponding points to match multiple images, and calculates the homography among images using the RANSAC algorithm. Generally, corresponding points are needed for calculating conversion relation. However, the corresponding points include various types of noise that can be caused by false assumptions or errors about the conversion relationship. This noise is an obstacle to accurately predict the conversion relation. Therefore, RANSAC algorithm is used to construct an accurate conversion relationship from the outliers that interfere with the prediction of the model parameters because matching methods can usually occur incorrect correspondence points. In this paper, we propose an algorithm that extracts more accurate inliers and computes accurate transformation relations by using correspondence point relation information used in RANSAC algorithm. The correspondence point relation information uses distance ratio between corresponding points used in image matching. This paper aims to reduce the processing time while maintaining the same performance as RANSAC.

• Korea journal of population studies
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• v.33 no.2
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• pp.1-31
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• 2010

As increasing numbers of married women enter the labor force, scholars pay attentions to work-to-family and family-to-work spillover. So accumulating empirical research has been done to examine negative and positive spillover between two life areas. But existing research focuses only on this negative or positive spillover and do not combine these two interdependent aspects of spillover. But individuals experience the negative and positive spillover everyday. Therefore scholars point out the need of research to represent this reality of married men and women. Using data from a sample of 721 male and 359 female married workers, this study try to examine the 'global' measures of spillover between work and family. In particular, this study focuses on gender differences in this global measures and some potential factors influencing levels of global spillover. I find that while women and men do not differ in global work-to-family spillover, they do differ in global family-to-work spillover. It is found that four out of ten wives belong to 'high' in negative family-to-work spillover and 'low' in positive family-to-work spillover and only one out of ten wives belong to 'low' in negative family-to-work spillover and 'high' in positive family-to-work spillover. It is well documented that women do the bulk of family responsibilities such as housework and childrearing and consider home as their second workplace. The findings in this paper may represent unequal gender realities.

• Journal of Korea Multimedia Society
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• v.14 no.5
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• pp.658-668
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• 2011

Over the past decade, the improvement of communications technologies and the rapid spread of www (World Wide Web) have brought on the exponential growth of users using Internet and real time multimedia multicast services like video conferencing, tele-immersive virtual reality, and Internet games. The dense-wavelength division multiplexing (DWDM) networks have been widely accepted as a promising approach to meet the ever-increasing bandwidth demands of Internet users, especially in next generation Internet backbone networks for nation-wide or global coverage. A major challenge in the next generation Internet backbone networks based on DWDM technologies is the resolution of the multicasting RWA (Routing and Wavelength Assignment) problem; given a set of wavelengths in the DWDM network, we set up light-paths by routing and assigning a wavelength for each connection so that the multicast connections are set-upped as many as possible. Finding such optimal multicast connections has been proven to be Non-deterministic Polynomial-time-complete. In this paper, we suggest a new heuristic multicast routing and wavelength assignment method for multicast sessions called DVS-PMIPMR (Differentiated Virtual Source-based Priority Minimum Interference Path Multicast Routing algorithm). We measured the performance of the proposed algorithm in terms of number of wavelength and wavelength channel. The simulation results demonstrate that DVS-PMIPMR algorithm is superior to previous multicast routing algorithms.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.10
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• pp.447-454
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• 2015

This paper proposes geographical name denoising by machine learning of event detection based on twitter. Recently, the increasing number of smart phone users are leading the growing user of SNS. Especially, the functions of short message (less than 140 words) and follow service make twitter has the power of conveying and diffusing the information more quickly. These characteristics and mobile optimised feature make twitter has fast information conveying speed, which can play a role of conveying disasters or events. Related research used the individuals of twitter user as the sensor of event detection to detect events that occur in reality. This research employed geographical name as the keyword by using the characteristic that an event occurs in a specific place. However, it ignored the denoising of relationship between geographical name and homograph, it became an important factor to lower the accuracy of event detection. In this paper, we used removing and forecasting, these two method to applied denoising technique. First after processing the filtering step by using noise related database building, we have determined the existence of geographical name by using the Naive Bayesian classification. Finally by using the experimental data, we earned the probability value of machine learning. On the basis of forecast technique which is proposed in this paper, the reliability of the need for denoising technique has turned out to be 89.6%.

• Korean Journal of Construction Engineering and Management
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• v.21 no.4
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• pp.62-71
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• 2020

Various studies on program management have been attempted due to recent changes in the environment of the construction market, and the importance of closure phase in each phase of the construction program is increasing. However, the reality is that the related research is insufficient and the field has been managed in a rule of thumb according to individual capabilities. Therefore, in order to successfully close the construction program and enhance satisfaction of stakeholders in the closure phase of the construction program, the key stakeholders were identified using the Power and Interest Matrix. The relative importance of the closure phase process was analyzed using AHP analysis method. It was also verified through on-site surveys and interviews about the proposed importance of the closure stakeholder and the relative importance of the process. It is expected that this study will increase the satisfaction of stakeholders and contribute to a successful closure if the user puts a lot of resources into the process that has a high priority in the closure phase of the construction program proposed in this study.

• Journal of the Korean Institute of Gas
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• v.23 no.2
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• pp.1-8
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• 2019

Because of environmental pollution problem, interests in hydrogen energy has been concentrating sharply. Especially in Korea, the market related with fuel cell vehicles and hydrogen refueling stations is increasing actively under the government-led. However, the actual contributions to environmental improvement effect of hydrogen energy is required to be evaluated with representing reality. In this sense, lots of conventional analyzing tools have some limitations to adapt in Korea's situation directly. It is caused by the differences of raw energy market between the US and Korea. That is, most of analytic tools are developed by representing energy market of the US, where can produce variety of raw feed energy sources. Therefore, in this paper, we propose mass balance based numerical analyzing method, which is suitable for the actual hydrogen production process in Korea for exact evaluation of $CO_2$ emission amount in this country. Using proposed method, we has demonstrated reformed hydrogen from natural gas, LPG and naphtha, electrolysis-based hydrogen, and COG-based hydrogen. Furthermore, with the comparison of GREET program analysis results, robustness of numerical analysis method is demonstrated.

• Journal of the Korea Institute of Building Construction
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• v.19 no.2
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• pp.185-192
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• 2019

Construction has been well known as the industry in which accidents occur more often than other industries. The efforts to eliminate the accidents at construction sites need to be continuously conducted because they tend to cause the social problems such as massive loss of life and property. According to the Korea Occupational Safety and Health Agency (KOSHA), 26,570 (29.3 percent) out of 90,656 workers in total industrial accidents have been occurred in the construction industry in 2016. Particularly, the falling victims are the largest number, which is about 8,699. This number is increasing due to the increase of the large scale, high-rise, and complex construction structures and the various construction methods. In reality, there is a lack of analysis on the risk factors of safety accidents and preventive measures. Therefore, in this study, we have selected risk factors by analyzing the accident cases at construction sites. Based on the results, we conducted a safety practitioner-focused survey and had an interview with safety managers. In analyzing the cases, we have categorized them into three groups such as upper, middle, and lower and compared their statistical results. This study are expected to provide safety management guidelines with workers and safety managers to prevent previously fall accidents at construction site.

• 한국사회정책
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• v.23 no.1
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• pp.203-225
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• 2016

The permanent disability benefit(PDB) system whose purpose lies in helping affected workers with their self-realization through compensating them for their work-related injury or disease and facilitating their timely return to work is very important in terms of social welfare. Actually, the portions of PDB's in all WCI expenditures have been on the sharp increase. In spite of its positive aspects like this, however, an excessive amount of PDB's may have negative impacts on the affected workers' will to work or return to work, and increasing trends in the amount of PDB's payable in annuity will remain in an aging or aged society a potentially risky factor posing a threat to the soundness of WCI budgets. In this respect, the author attempted herein to identify the long-term reality of trends in the number of claimants entitled to PDB's and the amount of PDB's payable to them through making the long-term budget projections of PDB's; address problems with PDB's payable in annuity, which are or will potentially be one of the gravest burdens in securing the soundness of WCI budgets; and discuss how to optimize the amount of PDB's through studying & analyzing overseas cases and income replacement rates and what kinds of improvements are thinkable. It's recommended to reduce the absolute amount of benefits payable in annuity in a phased way considering claimants' life-cycle instead of sticking to the current system, which takes the form of lifelong pension plan.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.9 no.4
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• pp.11-22
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• 1999

Least-mean-square(LMS) adaptive filters have proven to be extremely useful in a number of signal processing tasks. However LMS adaptive filter suffer from a slow rate of convergence for a given steady-state mean square error as compared to the behavior of recursive least squares adaptive filter. In this paper an efficient signal interference control technique is introduced to improve the convergence speed of LMS algorithm with tap weighted vectors updating which were controled by reusing data which was abandoned data in the Adaptive transversal filter in the scheme with data recycling buffers. The computer simulation show that the character of convergence and the value of MSE of proposed algorithm are faster and lower than the existing LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and increase speed of convergence in avoidance burden of computational complexity in reality when it was experimented having the same condition of LMS algorithm.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.76-82
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• 2022

Recently, natural and social disasters in Korea are increasing, and new disasters such as COVID 19 and sinkholes, and large-scale disasters that combine natural and social disasters are occurring frequently. In order to reduce damage caused by disasters and effectively respond to disasters, the importance of disaster safety education is emerging because it is necessary to understand the awareness of disaster situations and the functional response process. Ministry of Public Interior and Security is providing disaster safety education for emergency managers through 54 specialized disaster safety education institutions. There is also a lack of experience facilities. This has a problem in that it makes it difficult for disaster safety personnel to effectively respond to disasters due to lack of experience in actual disaster sites. Also, unlike other education fields, the connection between disaster safety education contents and new technologies such as AI is still lacking. In this study, focusing on natural disaster, the current status and problems of domestic disaster safety education institutions and their contents are investigated and analyzed, and based on this, this study suggested improvement plans for domestic disaster safety education contents such as establishment of a unified disaster safety standard curriculum, production and distribution of disaster safety education experience contents using virtual reality technology and infotainment technology, and development of mobile AI tutoring service.