• The Korean Journal of Air & Space Law and Policy
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• v.33 no.1
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• pp.81-120
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• 2018

To promote the aviation safety reporting system that is operated to enhance aviation safety and to utilize related information, it should first be preceded by standards for non-punishment and data protection. It is because the purpose of collection and analysis of aviation safety related data through the aviation safety reporting system is to prevent recurrence of accidents by investigating their causes through collection and analysis of diverse types of information related to aviation safety. Both mandatory and voluntary reporting systems are in operation for aviation safety under the current Aviation Safety Act. It is said that they were introduced to survey causes for accidents and to prevent recurrences. In fact, however, it is hard to expect active implementation of the reporting system for aviation safety unless the reporters are firstly exempted from punishment. Therefore, the system should be improved so that it can satisfy its purpose and the purposes of data collection concerning aviation safety through examination of the purposes of the reporting system. One of the matters that needs to be considered to promote the reporting system should be the scope of aviation safety hindrances presupposed under the current institution. The voluntary aviation safety reporting system differs from the systems of ICAO or the key advanced countries, including the USA and the UK as it limits the target accidents subject to reporting to minor aviation safety hindrances only. That being said, improvements should be made by requiring mandatory reporting of aviation safety hindrances based on their severity while recognizing a greater variety of aviation safety concerns like international standards. Safety actions and sharing of information based on collection and analysis of diverse data related to aviation safety will greatly contribute to enhance aviation safety as the purposes of the reporting system are to explore causes for accidents and to prevent their recurrences. What is most important in this regard is strict data protection and non-punishment principles; compliance with them should be secured. We can hardly expect the successful operation of the system unless the reporter is exempted from punishment and the relevant data is protected as promotion of voluntary reporting is an essential factor for enhancing the safety culture. Otherwise, the current system may induce hiding of relevant facts or data to evade punishment. It is true that the regulation for enhancing safety tends to have limitations or blind spots; nevertheless, it should still be enforced strictly and completely. Technological progresses and mistakes of operators appear in different forms based on individual cases. The consequential damages may amount to a truly severe level. Therefore, we have studied and suggested to the methods of activiation and amendments on the aviation safety reporting system, which is referred for one of the proactive safety management systems. The proposed improvement of the reporting system and introduction of non-punishment for collection of aviation safety data for deploying a preemptive prevention system would serve as the backbone for enhancing aviation safety in Korea.

• Journal of Korean Home Economics Education Association
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• v.17 no.4 s.38
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• pp.101-115
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• 2005

The purpose of this research was to develop and applicate In based teaching$\cdot$learning process plan for Environmentally friendly Housing. The 3 main stages of process were used: analyses, planning & development, and application & evaluation. Three teaching subjects were selected to teach Environmentally friendly housing in the analysis stage. The webhard learning environment was consisted of contents and various materials such as digital video, PPT, group activity, discussion, individual and group reporting forms, and questions. The number of 101 high school students participated for the application stage during september 22-27, 2003. Most of all students evaluated very positively the various aspects of contents as well as LT cooperative learning methods md the web based learning environment. They strongly expressed to practice the practical ways of Environmentally friendly housing learned in the class in the future. The results imply that the contents and In teaching learning plan developed in this study seem to be adequate to be included in the regular text.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.195-200
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• 2019

The purpose of this study is to present a model for enhancing the academic excellence of adult college students. For this purpose, 408 adult college students attending 2-year and 4-year colleges in Busan, Daegu, and Gyeongbuk were surveyed and analyzed. The components of the model are curriculum, educational methods, evaluation of education, educational administration, educational environment, and institutional support and the results are as follows. First, the curriculum preferred by adult college students was to acquire diverse academic knowledge for a degree, to acquire knowledge and skills to develop skills for the workplace, and to acquire new information and knowledge regarding issues in society as a whole. Second, the professors' qualification among the educational methods preferred by adult college students was professional competence of the professors based on their theoretical and practical skills. The preferred teaching methods were lecture, discussion, action learning, and the project learning method in that order and video and PowerPoint were preferred as effective teaching mediums. Third, the preferred course for adult college students is operated on weekends, and three years was preferred to get a bachelor's degree. The possible hours of learning per day is 3~6 hours, indicating the necessity of e-learning, B-learning, and prior learning experience recognition systems. Fourth, the education evaluation method preferred by adult college students was a compromise method which is a mixture of absolute evaluation and relative evaluation, and it also showed the need for Pass or Non Pass evaluation method. Fifth, the internal factors of college selection preferred by adult college students were the acquisition of new knowledge and skills, and the external factors were desire to receive many opportunities related to employment and job improvement. The classroom, which provides an effective environment, was a fixed seat classroom and an indoor classroom environment was emphasized for desired educational environment. Sixth, institutional support preferred by adult college students was computer-related programs and learning club support services.

• Journal of Life Science
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• v.33 no.10
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• pp.828-834
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• 2023

The cDNA that encodes transmembrane protein 258 (Tmem258) was cloned from Gryllus bimaculatus and named GbTmem258. This protein comprises 80 amino acids, has no N-glycosylation site, and contains five potential phosphorylation sites at two serines, two threonines, and one tyrosine. The predicted molecular mass of GbTmem258 is 9.06 kDa, and its theoretical isoelectric point is 5.5. The tertiary structure of GbTmem258 was predicted using the available secondary structure information, which suggests the presence of alpha helices (52.5%), random coils (22.5%), extended strands (16.25%), and beta turns (8.75%). Homology analysis revealed that GbTmem258 exhibits high similarity at the amino-acid level to Tmem258 found in other species. The effect of starvation and refeeding on GbTmem258 mRNA expression was also examined in this study. It was found that GbTmem258 mRNA expression in the hindgut progressively increased throughout the starvation period, peaking at almost 1.5 times the control level after six days of starvation. However, refeeding for one to two days after the six-day starvation period restored GbTmem258 mRNA expression to the control level. In fat body, GbTmem258 mRNA expression was almost 3-fold higher during starvation compared to the control level. Refeeding for one to two days after the six-day fast resulted in a decline in the expression to about a 2.5-fold increase over the control level. Throughout the starving and refeeding periods, no other tissues showed any discernible alterations in GbTmem258 mRNA expression.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.12 s.138
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• pp.1596-1604
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• 2004

Quality Function Deployment(QFD) is a product development tool which ensures that the voice of the customer needs is heard and translated into products. To develop a sensible brassiere for middle-aged women QFD was adopted. In this study the applicability and usefulness of QFD was examined through the engineering design process for a sensible brassiere for middle-aged women. The customer needs for the wear comfort of brassiere was made by one-on-one survey of 100 women who aged 30-40. The customer competitive assessment was generated by wearing tests of 10 commercial brassieres. The subjective assessment was conducted in the enviornmental chamber that was controlled at $28{\pm}1^{\circ}C,\;65{\pm}3\%RH.$ As a results, we developed twenty-one customer needs and corresponding HOWs for the wear comfort of brassiere. The Customer Competitive Assessment was generated by wearing tests of commercial brassiere. The subjective measurement scale and dimension for the evaluation of sensible brassiere were extracted from factor analysis. Four factors were fitting, aesthetic property, pressure sensation, displacement of brassiere due to movement. The most critical design parameter was wire-related property and second one was stretchability of main material of brassiere. Also, wearing comfort of brassiere was affected by the interaction of initial stretchability of wing and support of strap. Engineering design process, QFD was applicable to the development of technical and aesthetic brassieres.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.99-120
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• 2010

Due to the wide spread of customers' frequent access of non face-to-face services, there have been many attempts to improve customer satisfaction using huge amounts of data accumulated throughnon face-to-face channels. Usually, a call center is regarded to be one of the most representative non-faced channels. Therefore, it is important that a call center has enough agents to offer high level customer satisfaction. However, managing too many agents would increase the operational costs of a call center by increasing labor costs. Therefore, predicting and calculating the appropriate size of human resources of a call center is one of the most critical success factors of call center management. For this reason, most call centers are currently establishing a department of WFM(Work Force Management) to estimate the appropriate number of agents and to direct much effort to predict the volume of inbound calls. In real world applications, inbound call prediction is usually performed based on the intuition and experience of a domain expert. In other words, a domain expert usually predicts the volume of calls by calculating the average call of some periods and adjusting the average according tohis/her subjective estimation. However, this kind of approach has radical limitations in that the result of prediction might be strongly affected by the expert's personal experience and competence. It is often the case that a domain expert may predict inbound calls quite differently from anotherif the two experts have mutually different opinions on selecting influential variables and priorities among the variables. Moreover, it is almost impossible to logically clarify the process of expert's subjective prediction. Currently, to overcome the limitations of subjective call prediction, most call centers are adopting a WFMS(Workforce Management System) package in which expert's best practices are systemized. With WFMS, a user can predict the volume of calls by calculating the average call of each day of the week, excluding some eventful days. However, WFMS costs too much capital during the early stage of system establishment. Moreover, it is hard to reflect new information ontothe system when some factors affecting the amount of calls have been changed. In this paper, we attempt to devise a new model for predicting inbound calls that is not only based on theoretical background but also easily applicable to real world applications. Our model was mainly developed by the interactive decision tree technique, one of the most popular techniques in data mining. Therefore, we expect that our model can predict inbound calls automatically based on historical data, and it can utilize expert's domain knowledge during the process of tree construction. To analyze the accuracy of our model, we performed intensive experiments on a real case of one of the largest car insurance companies in Korea. In the case study, the prediction accuracy of the devised two models and traditional WFMS are analyzed with respect to the various error rates allowable. The experiments reveal that our data mining-based two models outperform WFMS in terms of predicting the amount of accident calls and fault calls in most experimental situations examined.

• Journal of Internet Computing and Services
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• v.16 no.2
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• pp.77-83
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• 2015

Frequent pattern mining, which is one of the major areas actively studied in data mining, is a method for extracting useful pattern information hidden from large data sets or databases. Moreover, frequent pattern mining approaches have been actively employed in a variety of application fields because the results obtained from them can allow us to analyze various, important characteristics within databases more easily and automatically. However, traditional frequent pattern mining methods, which simply extract all of the possible frequent patterns such that each of their support values is not smaller than a user-given minimum support threshold, have the following problems. First, traditional approaches have to generate a numerous number of patterns according to the features of a given database and the degree of threshold settings, and the number can also increase in geometrical progression. In addition, such works also cause waste of runtime and memory resources. Furthermore, the pattern results excessively generated from the methods also lead to troubles of pattern analysis for the mining results. In order to solve such issues of previous traditional frequent pattern mining approaches, the concept of representative pattern mining and its various related works have been proposed. In contrast to the traditional ones that find all the possible frequent patterns from databases, representative pattern mining approaches selectively extract a smaller number of patterns that represent general frequent patterns. In this paper, we describe details and characteristics of pattern condensing techniques that consider the maximality or closure property of generated frequent patterns, and conduct comparison and analysis for the techniques. Given a frequent pattern, satisfying the maximality for the pattern signifies that all of the possible super sets of the pattern must have smaller support values than a user-specific minimum support threshold; meanwhile, satisfying the closure property for the pattern means that there is no superset of which the support is equal to that of the pattern with respect to all the possible super sets. By mining maximal frequent patterns or closed frequent ones, we can achieve effective pattern compression and also perform mining operations with much smaller time and space resources. In addition, compressed patterns can be converted into the original frequent pattern forms again if necessary; especially, the closed frequent pattern notation has the ability to convert representative patterns into the original ones again without any information loss. That is, we can obtain a complete set of original frequent patterns from closed frequent ones. Although the maximal frequent pattern notation does not guarantee a complete recovery rate in the process of pattern conversion, it has an advantage that can extract a smaller number of representative patterns more quickly compared to the closed frequent pattern notation. In this paper, we show the performance results and characteristics of the aforementioned techniques in terms of pattern generation, runtime, and memory usage by conducting performance evaluation with respect to various real data sets collected from the real world. For more exact comparison, we also employ the algorithms implementing these techniques on the same platform and Implementation level.

• Journal of the Society of Disaster Information
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• v.11 no.4
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• pp.556-569
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• 2015

With about 75% of the population of Korea criticizing the government's disaster policy and a failure to respond to large-scale emergency like the Sewol ferry sinking means that there is a deep distrust in the government. In order to prevent dreadful disasters such as the Sewol ferry sinking, it is important to secure a prime time with respect to disaster safety. Improving crisis management skills and managerial role of police officers who are in close proximity to the people is necessary for the success of disaster management. With disaster management as one of the most essential missions of the police, as a part of a national crisis management, a step by step strengthening of the disaster safety management system of the police is necessary, as below. First, at the prevention phase, law enforcement officers were not injected into for profit large-scale assemblies or events, but in the future the involvement, injection should be based on the level of potential risk, rather than profitability. In the past and now, the priortiy was the priority was on traffic flow, traffic communication, however, the paradigm of traffic policy should be changed to a safety-centered policy. To prevent large-scale accidents, police investigators should root out improper routines and illegal construction subcontracting. The police (intelligence) should strengthen efforts to collect intelligence under the subject of "safety". Second, with respect to the preparatory phase, on a survey of police officers, the result showed that 72% of police officers responded that safety management was not related to the job descriptions of the police. This, along with other results, shows that the awareness of disaster safety must be adopted by, or rather changed in the police urgently. The training in disaster safety education should be strengthened. A network of experts (private, administrative, and police) in safety management should be established to take advantage of private resources with regard to crisis situtions. Third, with respect to the response phase, for rapid first responses to occur, a unified communication network should be established, and a real-time video information network should be adopted by the police and installed in the police situation room. Fourth, during the recovery phase, recovery teams should be injected, added and operated to minimize secondary damage.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.143-149
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• 2020

This study tried to observe the ability to inhibit vasocontriction in phloretin - the primary ingredient of apple tree leaves and the Manchurian apricot - through ROCK(Rho-associdated, coiled-coil containing protein kinase) inactivation in rat aortae. A piece of artery that was separated from Sprague-Dawley male rats and retained or damaged the endothelium was suspended in myograph tank with two metal rings, the lower ring fixed to the bottom of the tank, and the upper ring connected to the isotonic force transducer. Interestingly, phloretin inhibited fluoride- or phorbol ester-provoked contraction implying that additional pathways dissimilar from endothelial nitric oxide synthesis such as ROCK or MEK (mitogen activated protein kinase kinase) inactivation might be involved in the vasorelaxation. Therefore, this study provides that phloretin participates in the reduction of ROCK or MEK activity in smooth muscle in addition to the endothelial-dependent action of the endotheliuim in complete blood vessels, and consequently inhibits actin-myosin interaction in smooth muscle. Furthermore, phloretin inhibited thromboxane A2-induced contraction suggesting the mechanism including inhibition of ROCK and MEK.

• Geophysics and Geophysical Exploration
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• v.14 no.4
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• pp.316-323
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• 2011

To test the applicability of resistivity survey methods for the archaeological prospection of a large-scale tumulus, a three-dimensional resistivity survey was conducted at the $3^{rd}$ tumulus at Bokam-ri, in Naju city, South Korea. Since accurate topographic relief of the tumulus and electrode locations are required to obtain a high resolution image of the subsurface, electrodes were installed after making grids by threads, which is commonly used in the archaeological investigation. In the data acquisition, data were measured using a 2 m electrode spacing with the line spacing of 1 m and each survey line was shifted 1 m to form an effective grid of 1 m ${\times}$ 1 m. Though the 3-D inversion of data, we could obtain the 3-D image of the tumulus, where we could identify the brilliant signature of buried tombs made of stones. The results were compared with the previous excavation results and we could convince that a 3-D resistivity imaging method is very useful to investigate a large-scale tumulus.