• Smart Structures and Systems
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• v.29 no.1
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• pp.93-103
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• 2022

With the wider availability of sensor technology through easily affordable sensor devices, several Structural Health Monitoring (SHM) systems are deployed to monitor vital civil infrastructure. The continuous monitoring provides valuable information about the health of the structure that can help provide a decision support system for retrofits and other structural modifications. However, when the sensors are exposed to harsh environmental conditions, the data measured by the SHM systems tend to be affected by multiple anomalies caused by faulty or broken sensors. Given a deluge of high-dimensional data collected continuously over time, research into using machine learning methods to detect anomalies are a topic of great interest to the SHM community. This paper contributes to this effort by proposing a relatively new time series representation named "Shapelet Transform" in combination with a Random Forest classifier to autonomously identify anomalies in SHM data. The shapelet transform is a unique time series representation based solely on the shape of the time series data. Considering the individual characteristics unique to every anomaly, the application of this transform yields a new shape-based feature representation that can be combined with any standard machine learning algorithm to detect anomalous data with no manual intervention. For the present study, the anomaly detection framework consists of three steps: identifying unique shapes from anomalous data, using these shapes to transform the SHM data into a local-shape space and training machine learning algorithms on this transformed data to identify anomalies. The efficacy of this method is demonstrated by the identification of anomalies in acceleration data from an SHM system installed on a long-span bridge in China. The results show that multiple data anomalies in SHM data can be automatically detected with high accuracy using the proposed method.

• The KIPS Transactions:PartA
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• v.9A no.3
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• pp.387-398
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• 2002

As whole genome sequences of many organisms have been revealed by small-scale genome projects, the intensive research on individual genes and their functions has been performed. However on-memory algorithms are inefficient to analysis of whole genome sequences, since the size of individual whole genome is from several million base pairs to hundreds billion base pairs. In order to effectively manipulate the huge sequence data, it is necessary to use the indexed data structure for external memory. In this paper, we introduce a workbench system for analysis and visualization of whole genome sequence using string B-tree that is suitable for analysis of huge data. This system consists of two parts : analysis query part and visualization part. Query system supports various transactions such as sequence search, k-occurrence, and k-mer analysis. Visualization system helps biological scientist to easily understand whole structure and specificity by many kinds of visualization such as whole genome sequence, annotation, CGR (Chaos Game Representation), k-mer, and RWP (Random Walk Plot). One can find the relations among organisms, predict the genes in a genome, and research on the function of junk DNA using our workbench.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.8 no.1
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• pp.22-33
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• 1997

The objective of this study is to understand disordered parent-child relationships of Reactive Attachment Disorder(RAD) systematically through the mother’ internal working model of child. In this study, RAD mothers’internal representations of the child were compared with mothers’of control group and association between mothers’ representation classifications and children’ attachment classifications was examined. Also individual differences in mother-child interaction by mothers’representation classifications was observed. The subjects of this study were 40 2-5 year-old children and their mothers, 20 attachment disordered dyads and 20 normal dyads of control group. Mothers were interviewed using the Working Model of the Child(Zeanah, Benoit & Barton 1986) to classify internal representations of child. Children’ attachment patterns were assessed by the Strange Situation Procedure. For observation of motherchild interaction, Each dyad was seen in DPICS devised by Eyberg and Robinson(1983). The results of the study were as follows：1) Among RAD group, 55% of mothers were classified as disengaged and 45% classified as distorted, while all mothers of control group were classified as balanced. In rating scales, there were significant differences in all 3 representation classifications in Intensity of involvement and Coherence. In Intensity of involvement disengaged representations had the lowest score and distorted representations had the lowest score in Coherence. 2) Mothers’representation classifications were related to children’ attachment classifications. All mothers of control group whose children were classified as secure were classified as balanced. Among RAD’ mothers, by contrast, 82% of mothers classified as disengaged had children classified as anxious-avoidant, 56% of mothers classified as distorted had children classified as disorganized / disoriented and 33% of mothers classified as distorted had children classified as anxious-resistant. 3) There were individual differences in mother-child interactions by mothers’representation classifications. In the child-centered play, mothers classified as disengaged used discriptive statement, reflective statement and discriptive-reflective question less than balanced mothers. Mothers classified as distorted used direct command and indirect command more than balanced mothers. In the clean-up task, mothers classified as disengaged and distorted used direct command and indirect command more than balanced mothers. The results of this study suggest that parents’working model of the child is an important factor to understand parent-child attachment relationships and their interactions. The understanding of parents’ working model of the child is thought to enrich our understanding of disordered parent-child relationships and to provide useful informations for specific and successful treatments.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.3
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• pp.141-148
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• 2017

The current advancement of mobile devices enables users to collect a sequence of user positions by use of the positioning technology and thus the related research regarding positioning or location information are quite arising. An individual mobility model based on positioning data and time data are already established while group mobility model is not done yet. In this research, group mobility model, an extension of individual mobility model, and the process of establishment of group mobility model will be studied. Based on the previous research of group mobility model from two individual mobility model, a group mobility model with more than two individual model has been established and the transition pattern of the model is represented by Markov chain. In consideration of real application, the computing time to establish group mobility mode from huge positioning data has been drastically improved by use of GPGPU comparing to the use of traditional multicore systems.

• ETRI Journal
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• v.29 no.3
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• pp.353-362
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• 2007

In this paper, we propose a novel unsupervised video object extraction algorithm for individual images or image sequences with low depth of field (DOF). Low DOF is a popular photographic technique which enables the representation of the photographer's intention by giving a clear focus only on an object of interest (OOI). We first describe a fast and efficient scheme for extracting OOIs from individual low-DOF images and then extend it to deal with image sequences with low DOF in the next part. The basic algorithm unfolds into three modules. In the first module, a higher-order statistics map, which represents the spatial distribution of the high-frequency components, is obtained from an input low-DOF image. The second module locates the block-based OOI for further processing. Using the block-based OOI, the final OOI is obtained with pixel-level accuracy. We also present an algorithm to extend the extraction scheme to image sequences with low DOF. The proposed system does not require any user assistance to determine the initial OOI. This is possible due to the use of low-DOF images. The experimental results indicate that the proposed algorithm can serve as an effective tool for applications, such as 2D to 3D and photo-realistic video scene generation.

• Journal of Korean Library and Information Science Society
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• v.16
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• pp.129-157
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• 1989

Through this study, some considerations to be taken into account in order to construct the user model for the user friendly system which can provide each individuals user armed with varied intellectual level with the relevant information, can be summarized as follows : (1) The user' ability to use the system and users' subject knowledge, the distribution of the users' level knowledge should be considered for the decision of the typed of interaction between the users and the system. (2) the knowledge of the user models should include the following kinds of knowledge inharmony with one another, 1. Standard user knowledge which represents a general characteristic of user group, 2. individual user knowledge which represents an individual's unique characteristic, 3. Long-term user knowledge which represents the education level and subject background of users, 4. short-term user knowledge which represents the purpose of information science and information need by users (3) As knowledge generation technique, both the implicit method and explicit method should be a n.0, pplied, observation of the system during the interaction, and explicit method generates the knowledge by the user's answering the questions already made by the system. (4) The frame technique as the knowledge representation for the user-modelling in which user-knowledge is represented in a limited situation and in a qualitative aspects, can be recommended. The frame is adequated for the explanation of structured situation, and for the processing the present situation by inferring the previous experiences.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3266-3285
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• 2023

With the popularity of online learning, intelligent tutoring systems are starting to become mainstream for assisting online question practice. Surrounded by abundant learning resources, some students struggle to select the proper questions. Personalized question recommendation is crucial for supporting students in choosing the proper questions to improve their learning performance. However, traditional question recommendation methods (i.e., collaborative filtering (CF) and cognitive diagnosis model (CDM)) cannot meet students' needs well. The CDM-based question recommendation ignores students' requirements and similarities, resulting in inaccuracies in the recommendation. Even CF examines student similarities, it disregards their knowledge proficiency and struggles when generating questions of appropriate difficulty. To solve these issues, we first design an enhanced cognitive diagnosis process that integrates students' affection into traditional CDM by employing the non-compensatory bidimensional item response model (NCB-IRM) to enhance the representation of individual personality. Subsequently, we propose an affection-enhanced personalized question recommendation (AE-PQR) method for online learning. It introduces NCB-IRM to CF, considering both individual and common characteristics of students' responses to maintain rationality and accuracy for personalized question recommendation. Experimental results show that our proposed method improves the accuracy of diagnosed student cognition and the appropriateness of recommended questions.

• Journal of Science of Art and Design
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• v.12
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• pp.65-96
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• 2007

Today, the modern art is extremely diverse. It is denying its own boundary through chaos, extreme, abjection. In fact the diversity of the modern art can be best described as questioning and challenging to the essence of the reality, rather than the artistic pursuit of the beauties. The pursuit of the reality has been a long lasting discourse since the ancient. Through the history, the reality (referent) and representation (image) has been complementing and disposing each other in a relationship of a meaningful construction until the modern times. The limit of modernistic self-reference and the emergence of the figure leads to the emergence of Post-modernism in a trend of experimenting new visual arts. The return to the figure is clearly distinguished from existing representation's system and it brought new meanings to approaches and interpretations of the reality. In the case of Pop arts of 1960's and the following the modern sculptures, which is covered by this thesis, I put an emphasis on the diversification of those via changed strategies on the reality. In a situation where the reality is dictated by signified, the modern arts can no longer stay on a classic concept of representation, rather it pursuits new system and diverse strategies. I provide three types of strategic characters of the reality and the diversification of reality: the transition of the reality. These three types can be used as a frame work, which is supporting new aspects of the modern arts in reflecting on existing system. Therefore, the reason of categorizing is to distinguish modernistic arts and post modernistic arts, and to propose new post-modernistic discourses. Adapting J.F, Lyotard's view, absence is used to trace down the diversification of the reality thorough the sublime on the deconstruction of the mega discourses and the relationship of representation. Based on H. Faster's theory of the appropriation, the appropriation is used to exemplify the strategies of visual arts are in variations and being delayed. Lastly, in the transition, J. Baudrilliard's simulacre is used in terms of the concept of post modernistic representation. Based on the core of his theories, the deconstruction of existing concepts and simulation as the post modernistic representation, and the world of hyperreality based on simulacre are explained. These allows us to deny that representation is the expression of reality through mimesis. My aim is to work on the definition of the arts and representation in the modern era, and go further from there in order to clarify meaning and extension of the modern sculptures. Now two artists are reviewed based on their own art works: George Seagal; Jeff Koons. They are selected among numerous artists from the Post Modern era. Epic contents and emphasis on daily life of Seagal's works show good examples to artists from Pop Arts and following time period and may have served as a start point for Postmodernism. Indeed, he tried to show a newly defined relationship between art works and daily life experience. On the other hand, J.Koons used the strategies of fabrication and appropriation, which shows characteristics of the postmodernism. Through his four individual exhibitions, he shows the diversification of the reality based on art works as fetishistic merchandises, and newly defined concept of Ready-made since M Duchamp. Lastly, the diversification of the reality is analyzed again in context of my art works. I focused on the return to the figure among a variety of trends of late 20 th century modern sculpture. It showed the post modernistic point of view on the reality. Post modernistic diversified strategies are adopted as a method of distinguishing each art works via the diversification of the reality. This is the result of contemporary social and cultural situations.

• The Journal of Korean Medicine
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• v.15 no.2 s.28
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• pp.306-320
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• 1994

An account book of medical treatment is a form of collection materials for diagnostic standardization, and it is a basis of standardization, standardization of medical records is a preconsideration of each standardization. But an account book of medical treatment is only a kind of form for recording medical treatment, therefore standardization of medical treatment eventually holds the key to the standardization of recording charts. However until now we have gradually reformed medical records in accordance with individual characters of medical treatment, and didn't have even standard sheme of medical records, also medical terms for medical records had an inconsistency of redescription and reiterative representation for an identical terms in all parts of the East learning, medical terms for medical records didn't unity. To make better this realities, standardization study used orginated system in the process of existing study, it can get ready the basis of discussion between O.M.D and O.M.D. it can make analysis of diagnostic course and can clearly understand usable information by diagnostic course. for that reason we hope that the basis of standardization is accomplished. And in advance of study for this standardization we have to analysis the course of medical treatment with demonstration of roof, first of all we have to study term definition by diagnostic course and prepare basis by diagnostic course. because this study have limits of indivisual study, it needs to long and synthetic investigation in Association levels. Although we cann't completely alternate with methods of measurement which relyed on individual mastery, if we exclude erroes of individual measurement through mechanization and verify results of diagnosis through keynotes, we can realize standardization of medical treatment with demonstration of proof and in this process we can use medical records as a tool collecting exact data, also we can realize standardization of drawing up medical records.

• Journal of Educational Research in Mathematics
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• v.8 no.1
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• pp.299-312
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• 1998

In this study, we have investigated the meaning and mechanism of the 'construction' in the operational constructivism and the social constructivism. According to Piaget, a mathematical concept is the operational sch me, which is constructed through the reflective abstraction from a general coordination of activities and operations. The process of the reflective abstraction consists of 'reflechissement'and 'reflexion'. The reflechissement starting from 'intriorisation' concludes with 'thematisation', and the reflexion consists in the 'equilibration' of the result of reflechissement. The 'construction' in the social constructivism includes two process. One is the process from the individual, subjective knowledge of mathematics to the social, objective knowledge of mathematics, and the other is vice versa. The emphases is placed on the 'social interaction' and the 'representation' in this two processes. In this context, if we want to apply the social constructivism, we should clarify the meaning of 'society', and consider the difference between the society of mathematicians and the society of students.