• Molecules and Cells
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• v.24 no.2
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• pp.177-184
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• 2007

Approximately 200 individual skeletal elements, which differ in shape and size, are the building blocks of the vertebrate skeleton. Various features of the individual skeletal elements, such as their location, shape, growth and differentiation rate, are being determined during embryonic development. A few skeletal elements, such as the lateral halves of the clavicle and parts of the skull are formed by a process called intramembranous ossification, whereby mesenchymal cells differentiate directly into osteoblasts, while the majority of skeletal elements are formed via endochondral ossification. The latter process starts with the formation of a cartilaginous template, which eventually is being replaced by bone. This requires co-regulation of differentiation of the cell-types specific for cartilage and bone, chondrocytes and osteoblasts, respectively. In recent years it has been demonstrated that Wnt family members and their respective intracellular pathways, such as non-canonical and the canonical $Wnt/{\beta}$-catenin pathway, play important and diverse roles during different steps of vertebrate skeletal development. Based on the recent discoveries modulation of the canonical Wnt-signaling pathway could be an interesting approach to direct stem cells into certain skeletal lineages.

• Journal of the Ergonomics Society of Korea
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• v.27 no.1
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• pp.21-27
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• 2008

An increased use of teams of actors within complex systems has led to the emergence of various approaches for the assessment of different features associated with team performance. Over the last two decades, the performance of teams in complex systems has received considerable attention from the human factors community, and a number of methods have been developed in order to assess and evaluate team performance. The purpose of this paper is to propose a methodology for measuring team efficiency of operators in the advanced main control room of Korean nuclear power plant. Team efficiency is an index which is estimated of gabs between individual performances and team performance. The index was developed to compare among teams through past all performance measurements.

• Journal of Digital Convergence
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• v.7 no.1
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• pp.57-71
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• 2009

The visualization of business reports has received greater attention from information system scholars. Tables, graph and charts are often used to represent vast amount of complex numerical data and spreadsheet visuals become a de facto standard in business. This study suggests the use of individual's cognitive differences on business report visualization instead of providing "one visual fits all type of reports." It is argued that reports with data augmented by appropriate visuals will affect the efficiency and effectiveness of an individual's learning outcomes and subsequently his or her decision making processes. It is argued here that report visualization can augment the usefulness of contents and enhance many desirable features of reports as specified in those proposed models.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.159-168
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• 2021

Detecting cyber-attacks using machine learning or deep learning is being studied and applied widely in network intrusion detection systems. We noticed that the application of deep learning algorithms yielded many good results. However, because each deep learning model has different architecture and characteristics with certain advantages and disadvantages, so those deep learning models are only suitable for specific datasets or features. In this paper, in order to optimize the process of detecting cyber-attacks, we propose the idea of building a new deep learning network model based on the association and combination of individual deep learning models. In particular, based on the architecture of 2 deep learning models: Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM), we combine them into a combined deep learning network for detecting cyber-attacks based on network traffic. The experimental results in Section IV.D have demonstrated that our proposal using the CNN-LSTM deep learning model for detecting cyber-attacks based on network traffic is completely correct because the results of this model are much better than some individual deep learning models on all measures.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.35-40
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• 2019

In this paper, we propose a technique to reconstruct the iris image from the iris code by analyzing the process of generating the iris code and calculating it inversely. Iris recognition is an authentication method for authenticating an individual's identity by using iris information of an eye having unique information of an individual. The iris recognition extracts the features of the iris from the iris image, creates the iris code, and determines whether to authenticate using the corresponding code. The iris recognition method using the iris code is a method proposed by Daugman for the first time and is widely used as a representative method of iris recognition technology currently used commercially. In this paper, we restore the iris image with only the iris code, and test whether the reconstructed image and the original image can be recognized, and analyze restoration vulnerability of Daugman's iris code.

• Korean Journal of Heritage: History & Science
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• v.50 no.4
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• pp.222-251
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• 2017

This paper analyzes the characteristics of the ancient tombs discovered in the Gyeongju site and discusses the direction of the excavation. There are six special features of the wooden chamber tomb covered with stone in Gyeongju. First, confirmation of the above-ground type and the underground type burial mound. Second, confirmation of the construction such as the partition of mound and the pile of stone structure. Third, confirmation of the frontal part structure of the protect stone such as pebble-stone layer, boundary stone. Fourth, confirmation of the relationship before and after the mound. Fifth, the circumference and boundary of the confirmed(before 1990s) burial mounds were discovered, resolving the uncertainty. Sixth confirmation of the crowd unit tombs. By summing up these six features, it is possible to clearly divide the individual units and the crowd units of the Silla tombs. Confirmation of individual units and crowd units can clarify the size and scope of the tombs located by the concatenation and overlap. It is possible to get a glimpse of the formation process through the interrelationships between the two sides. The tombs are located in the upper-and-lower layer structure of the tombs and show selective site selection. When this formative process is rearranged, it is understood that the Gyeongju Silla Cemetery is formed through the course of four stages. It is anticipated that it will be possible to make selective projects in the excavation survey based on the confirmation of the individual unit and the crowd unit of the Silla ancient tombs and the formation process.

• Korean Journal of Human Ecology
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• v.16 no.2
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• pp.299-313
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• 2007

The purposes of this study were to find the actual condition about decoration of avatar systematically, classify each motive, considering the variety of the motive for avatar, and to analyse the important variables that they have an effect on Avatar using motive. The results were as follows; First, in result executing the factor analysis about the features of Avatar using motive, it revealed the factors like 'Pleasure-oriented', 'Other-oriented', 'Superiority-oriented' and "Individual expressive-oriented" motive. Second, the users on the basis of the Avatar using motive were divided into four groups respectively, that is 'Multipurpose purchasing group', 'Superiority group', 'Individual expressive group' and 'Passive-purpose group'. The most numbers of the respondent were belong to 'Multipurpose chasing group (N=179). On the other hands, the least numbers of the respondent were belong to 'Individual expressive group (N=93). Third, it was conducted by the crossing analysis and ANOVA about the consumer's group. And the result showed the significant difference in Avatar adornment experience, consuming expense, possession item's number, gender, age, friend, mass media and self esteem.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.4
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• pp.598-603
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• 2003

This paper presents a sub-band feature extraction approach in which the feature extraction method in the individual frequency sub-bands is determined in terms of speech recognition accuracy. As in the multi-band paradigm, features are extracted independently in frequency sub-regions of the speech signal. Since the spectral shape is well structured in the low frequency region, the all pole model is effective for feature extraction. But, in the high frequency region, the nonparametric transform, discrete cosine transform is effective for the extraction of cepstrum. Using the sub-band specific feature extraction method, the linguistic information in the individual frequency sub-bands can be extracted effectively for automatic speech recognition. The validity of the proposed method is shown by comparing the results of speech recognition experiments for our method with those obtained using a full-band feature extraction method.

• Journal of the Korean earth science society
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• v.23 no.2
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• pp.119-131
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• 2002

Constructivism is defined in a variety of ways (e.g., constructivist research paradigm, sociological constructivism, and philosophical constructivism) and applied in vastly different contexts. Among the various usages and interpretations of constructivism, one is educational constructivism that embodies an epistemological view of knowledge and learning that is an alternative to naive empiricism or classical behaviorism. To represent the full range of stances taken by educational constructivists, three versions of educational constructivism were considered in this study: individual constructivism originating in the work of Piaget, the radical version of constructivism associated with von Glasersfeld, and the social constructivism of Vygotsky. I investigated preservice teachers' meaning construction about constructivist epistemology as they went through their preservice teacher education program using in-depth interviews. This preservice teacher education program employs constructivist aspects of teacher education and generates applications of constructivism to the practice of teaching. Features of preservice teachers' internalized meanings of educational constructivism include: (1)traditional pedagogy as the default, (2) Literal interpretation of constructivism, (3) Individual constructivism as conceptual change learning, (4) Radical constructivism as a strong individualistic philosophy, (5) Social constructivism as being too ideal to be practical. A compilation of the teachers' own statements about how to implement conceptual change learning and their projected role as constructivist teacher is also provided.

• The Korean Journal of Cytopathology
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• v.4 no.1
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• pp.30-34
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• 1993

A case of invasive cribriform carcinoma of the breast is presented with fine needle aspiration cytologic features. The aspiration was performed from a papable 2.0 cm mass in the upper outer quadrant of the right breast in a 53 year-old woman. The aspirate showed cellular smear composed of larger three dimensional tight clusters, smaller monolayered loose clusters, and many individual cells on the clean background. In the clusters, the tumor cells were bordering central lumina, quite similar to the cribriform in histology. The tumor cells in the clusters and individual tumor cells had uniform, small and round nuclei. The chromatin was finely granular, and nuclear membrane was smooth No discernible nucleoli were present (nuclear grade $1\sim2$). Unless the abundance of individual cells and the cribriform growth pattern are recognized in the smear, the cytologic diagnosis of invasive cribriform carcinoma is difficult.