• Journal of Korean Society of Archives and Records Management
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• v.11 no.1
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• pp.139-159
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• 2011

This study investigated the perceived significance of laboratory(lab) notebooks and the creation and maintenance of them from the perspectives of graduate students and professors in science fields. Semi-structured interviews of three professors and four graduate students were conducted. The interviewees were from three university laboratories of physics, chemistry and biological science. While professors perceived administrative continuity to be a reason for creating lab notebooks, students valued lab notebooks as a memory, and emphasized learning professional knowledge and skills through the recordkeeping practice. Students understood the ownership of lab notebooks and professors wanted to keep lab notebooks until they retire. Interviewees focused more on the content of lab notebooks rather than the form and the structure. They were also not willing to adopt an electronic lab notebook system. Students learned how to create lab notebooks through a course, their current or former academic advisors, seniors in the lab or well-written sample lab notebooks. In particular, students have learned how to create lab notebooks within their laboratories, which are considered to be communities of practice. In this sense, professors responsible for managing laboratories play an important part in teaching students the recordkeeping practice. University archives should also be more concerned with managing and preserving lab notebooks created from their universities.

• Journal of Families and Better Life
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• v.2 no.1
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• pp.93-109
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• 1984

The purpose of this study is to investigate the direction and strategy of education for sex role concepts of children on the basis of factor analysis of the present situation in sex role concepts and their formation. Although some maintain that sex role concept of our society has been changing slowly, the traditional sex role concept still dominates and is potentially immanent. the analysis of present condition of our society indicates that the formal as well as informal education are facing with various crucial problems in providing the direction of behavior demanded for carrying out the role. The close analysis of the three theories, psychoanalytic theory , social learning theory, cognitive development theory, lends a support to the laim of the study that cognitive development theory provide an integrated frame of reference for us to see the sex role education analytically Furthermore, the factors which are found to have influences on the formation of sex role have been analyzed in three areas: Family, School and society. 1)The factors in family such as parental behavior of upbringing and their concepts of sex role have a direct relationship with the nature of sex tole concept of children. Therefore, the first step to make children to habe a new type of sex-role conception appropriate for modern societies is to change that of parental conception and attitudes. 2)the quantitative as well as the qualitative aspects of school education showed no exceptional trend from the dominant conception of the society, although school are expected to lead the society as formal education institution rather than just reflect the society. The educational activities and contents such as the conceived goal of education for eoch sex, textbook constitation, teaching behavior and sex-role concepts of teacher are found to be still dominated by the traditional sex-role assumption. 3) The social factors that have direct relationship with children's sex-role formation are social and cultural, which include social milieu, condition of employment, family structure and mass-media. Since family and school do not educate the young in a social vacuum. their educational function of sex-role formation are doomed to be limited and determined by these social factors. Unfortunately, the analysis of present conditions showed the dominance of traditional types of sex-role concepts in all these social factors. The education of sex-role concept for children should be treated as one of the most crucial value problems related with many other important problems, such as direction and patterns of behaviors of each sex, the degree of self-development and capabilities, and consequently human right, equality, humanization and the quality of happiness. Neverthless, the analysis of researches on sex-role education which have been surveyed in this study lead to a conclusion that concerted effort to change the education, formal as well as informal should be provided in every aspect of social life. If the sex role education of the past has aimed at the "feminization"of girls which indoctrinate girls into a limited and fixed role of house wives, the new education in the future should be directed foward "humanization" of both sexes which opens the diversity of roles for both boys and girl on equal levels and provide future possibilities in accordance to their individual capabilities and interests.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.2B
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• pp.100-107
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• 2007

Recently, a study of BcN(Broadband convergence Network) is progressing continuously, and it is important to improve the quality of the service according to subscribers because a scale of network is about to be larger. It is more important to manage QoS(Quality of Service) of all subscribers in layer 2 than layer 3 network since managing it in layer 3 network cost both additional processes and large hardware. Moreover, QoS based on Best-Effort service has been developed because tots of subscribers should use limited resource in BcN. However, they want to be supplied with different service even though they pay more charge. Therefore, it is essential to assign the different bandwidth to subscribers depending on their level of charge. The method of current Rate Limiter limits the bandwidth of each port that does not offer fair service to subscribers. The Rate Limiter proposed in this paper limits bandwidth according to each subscriber. Therefore, subscribers can get fair service regardless of switch structure. This new Rate Limiter controls the bandwidth of subscribers according to the information of learning subscriber and manages maximum performance of Ethernet switch and QoS.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.3
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• pp.639-647
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• 2011

In this paper, we introduce a design methodology of data-centroid Radial Basis Function neural networks with extended polynomial function. The two underlying design mechanisms of such networks involve K-means clustering method and Particle Swarm Optimization(PSO). The proposed algorithm is based on K-means clustering method for efficient processing of data and the optimization of model was carried out using PSO. In this paper, as the connection weight of RBF neural networks, we are able to use four types of polynomials such as simplified, linear, quadratic, and modified quadratic. Using K-means clustering, the center values of Gaussian function as activation function are selected. And the PSO-based RBF neural networks results in a structurally optimized structure and comes with a higher level of flexibility than the one encountered in the conventional RBF neural networks. The PSO-based design procedure being applied at each node of RBF neural networks leads to the selection of preferred parameters with specific local characteristics (such as the number of input variables, a specific set of input variables, and the distribution constant value in activation function) available within the RBF neural networks. To evaluate the performance of the proposed data-centroid RBF neural network with extended polynomial function, the model is experimented with using the nonlinear process data(2-Dimensional synthetic data and Mackey-Glass time series process data) and the Machine Learning dataset(NOx emission process data in gas turbine plant, Automobile Miles per Gallon(MPG) data, and Boston housing data). For the characteristic analysis of the given entire dataset with non-linearity as well as the efficient construction and evaluation of the dynamic network model, the partition of the given entire dataset distinguishes between two cases of Division I(training dataset and testing dataset) and Division II(training dataset, validation dataset, and testing dataset). A comparative analysis shows that the proposed RBF neural networks produces model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• Journal of the Korean Society of Earth Science Education
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• v.10 no.1
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• pp.76-89
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• 2017

The purpose of this study is to develop a science field study area using Geumgang(Geum River), fossil origins and various geological resources in Youngdong area of Chungcheongbuk-do as educational resources; and utilize them to develop an education program to cultivate earth science and topophilia. The Youngdong sedimentary basin (Cretaceous period) has a well-developed outcrop along the Geumgang and it is therefore easy to find various geological structures, plant fossils, and dinosaur fossils. Also, it has a distinct sedimentary structure, such as mud cracks, ripple marks and cross-bedding. Science field study area(6 observation sites) were developed based on school curriculum, textbook analysis, and professional earth science education panel discussion to create a convergence education program. The result of validating the developed program showed that all the items were satisfactory ($CVR{\geq}0.88$) in the test categories. The science field study teaching-learning model was applied to actual classes. The evaluation result for class satisfaction was positive, scoring Rickert scale 4.18. The result of observation about the outdoor classroom process in the science field study area revealed that students were able to form a new image of the beautiful scenery of the Geumgang. Also, the students could gain a new understanding, concept and value of various geological objects (sandy beach, stepping-stones, dinosaur footprint fossils, sedimentary formation), which naturally allowed them to form topophilia.

• Journal of Korean Philosophical Society
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• v.148
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• pp.49-72
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• 2018

In this paper, I tackle the question as to why the Confucian tradition in East Asia failed to generate democracy. In the first section, I discuss various forms of Confucianism and come up with a most suitable one before I define democracy. I then consider the view that, even though Confucianism, thus defined, had the democratic ideals, it could not generate democracy because it failed to secure democratic institutional structure. I call this view 'No Institutions' View. However, there are two versions of it. First, a thin version of the view holds that the theoretical resources are clearly found in Confucianism yet they failed to provide the democratic institutions. Second, there is the view (a thick version of 'No Institutions' View), according to which the theoretical resources do exist in the Confucian tradition, though only as potentiality and not as a historical reality, and this is why the tradition failed to produce democracy. Third, some hold the view (which I call 'No Ideals' View) that Confucianism simply lacks not only the practical institutions but also theoretical ideals of democracy. In the conclusion, I discuss the reason why I reject these views and offer my own view. In particular, I offer a hybrid view concerning the relationship between Confucianism and democracy.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.164-175
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• 2019

The Tor Tong Daeng Irrigation Project with the irrigation area of 61,400 hectares is located in the Ping Basin of the Upper Central Plain of Thailand where farmers depended on both surface water and groundwater. In the drought year, water storage in the Bhumipol Dam is inadequate to allocate water for agriculture, and caused water deficit in many irrigation projects. Farmers need to find extra sources of water such as water from farm pond or groundwater as a supplement. The operation of Bhumipol Dam and irrigation demand estimation are vital for irrigation water allocation to help solve water shortage issue in the irrigation project. The study aims to determine the smart dam operation system to mitigate water shortage in this irrigation project via introduction of machine learning to improve dam operation and irrigation demand estimation via soil moisture estimation from satellite images. Via ANN technique application, the inflows to the dam are generated from the upstream rain gauge stations using past 10 years daily rainfall data. The input vectors for ANN model are identified base on regression and principal component analysis. The structure of ANN (length of training data, the type of activation functions, the number of hidden nodes and training methods) is determined from the statistics performance between measurements and ANN outputs. On the other hands, the irrigation demand will be estimated by using satellite images, LANDSAT. The Enhanced Vegetation Index (EVI) and Temperature Vegetation Dryness Index (TVDI) values are estimated from the plant growth stage and soil moisture. The values are calibrated and verified with the field plant growth stages and soil moisture data in the year 2017-2018. The irrigation demand in the irrigation project is then estimated from the plant growth stage and soil moisture in the area. With the estimated dam inflow and irrigation demand, the dam operation will manage the water release in the better manner compared with the past operational data. The results show how smart system concept was applied and improve dam operation by using inflow estimation from ANN technique combining with irrigation demand estimation from satellite images when compared with the past operation data which is an initial step to develop the smart dam operation system in Thailand.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.73-85
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• 2021

The construction industry is considered to be a fatal accident industry, accounting for 28.5% of the total industrial accidents in 2017, as the number of industrial accidents in the construction industry has steadily increased over the past decade. So it is necessary to consider introducing Resilience Engineering, which is actively applied to risky industries around the world, to drastically reduce construction accidents. Although Resilience Engineering, which has emerged as the next-generation safety management centered on Hollnagel since the 2000s, claims the importance of strengthening Resilience abilities considering organizational structure and culture, most studies focus only on developing evaluation indicators. The purpose of this study is to analyze the impact of an organization's safety culture on its Resilience abilities in the construction industry. Specifically, it conducted empirical analysis on the impact of safety culture consisting of 'communication, leadership and safety systems' on the Resilience abilities(responding ability, monitoring ability, learning ability, anticipating ability), and the mediation relationship between leadership, communication, and safety system. The survey was conducted on construction workers, and an empirical analysis was conducted on the final 154 responses using SPSS 25 and Smart PLS 3. The results showed that the safety system had a significant impact on all Resilience Abilities, and communication had a significant impact on the remaining three except for anticipating ability among Resilience Abilities. On the other hand, leadership has been shown to have a significant impact on anticipating ability only. In the verifying of the mediation relationship between leadership, communication and safety systems, it was found that leadership affects all Resilience abilities by means of safety systems, but communication can only affect responding ability. This study has practical significance in that it suggests the need for policy-level efforts to introduce and apply Resilience Engineering and then expanded the effective safety management assessment of the construction industry in the future. Moreover, the academic implications are important in that the study attempted to expand the academic scope for a paradigm shift in the future as the safety culture has identified its impact on the Resilience abilities.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.1-9
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• 2021

3D-NAND flash memory provides high capacity per unit area by stacking 2D-NAND cells having a planar structure. However, due to the nature of the lamination process, there is a problem that the frequency of error occurrence may vary depending on each layer or physical cell location. This phenomenon becomes more pronounced as the number of write/erase(P/E) operations of the flash memory increases. Most flash-based storage devices such as SSDs use ECC for error correction. Since this method provides a fixed strength of data protection for all flash memory pages, it has limitations in 3D NAND flash memory, where the error rate varies depending on the physical location. Therefore, in this paper, pages and layers with different error rates are classified into clusters through the K-means machine learning algorithm, and differentiated data protection strength is applied to each cluster. We classify pages and layers based on the number of errors measured after endurance test, where the error rate varies significantly for each page and layer, and add parity data to stripes for areas vulnerable to errors to provides differentiate data protection strength. We show the possibility that this differentiated data protection policy can contribute to the improvement of reliability and lifespan of 3D NAND flash memory compared to the protection techniques using RAID-like or ECC alone.

• Journal of Navigation and Port Research
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• v.42 no.6
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• pp.539-545
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• 2018

In recent years, research on shipping market forecasting with the employment of non-linear AI models has attracted significant interest. In previous studies, input variables were selected with reference to past papers or by relying on the intuitions of the researchers. This paper attempts to address this issue by applying the stepwise regression model and the random forest model to the Cape-size bulk carrier market. The Cape market was selected due to the simplicity of its supply and demand structure. The preliminary selection of the determinants resulted in 16 variables. In the next stage, 8 features from the stepwise regression model and 10 features from the random forest model were screened as important determinants. The chosen variables were used to test both models. Based on the analysis of the models, it was observed that the random forest model outperforms the stepwise regression model. This research is significant because it provides a scientific basis which can be used to find the determinants in shipping market forecasting, and utilize a machine-learning model in the process. The results of this research can be used to enhance the decisions of chartering desks by offering a guideline for market analysis.