• International conference on construction engineering and project management
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• 2013.01a
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• pp.80-86
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• 2013

Knotworking represents a distributed collaborative expertise in pursuit of a task that is organized among designers from different design disciplines. Construction processes involve phases and tasks that cannot be solved in one organization only, as integration of expert knowledge from various sources is needed. Through knotworking, groups of people, tasks and tools are set to work intensively for a short period of time to solve a problem or accomplish a task. Knotworking requires intensive collaboration across organizational boundaries and hierarchies. The practice of knotworking has been developed and applied in the development of healthcare organizations, libraries and school-university relationships, but it has not previously been applied in the construction industry. In this paper, we describe the concept of knotworking and the findings of a case study that we completed in the Finnish construction industry. We will also compare the similarities and differences of the Big Room and knotworking in terms of participants, duration, target, space/infrastructure, benefits and challenges. Finally, we present some suggestions for further research and experimentation on knotworking in construction projects.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3498-3511
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• 2016

We investigate the channel state information (CSI) in multi-input multi-output (MIMO) cooperative networks that employ the amplify-and-forward transmission scheme. Least squares and expectation conditional maximization have been proposed in the system. However, neither of these two approaches takes advantage of channel sparsity, and they cause estimation performance loss. Unlike linear channel estimation methods, several compressed channel estimation methods are proposed in this study to exploit the sparsity of the MIMO cooperative channels based on the theory of compressed sensing. First, the channel estimation problem is formulated as a compressed sensing problem by using sparse decomposition theory. Second, the lower bound is derived for the estimation, and the MIMO relay channel is reconstructed via compressive sampling matching pursuit algorithms. Finally, based on this model, we propose a novel algorithm so called sparsity adaptive expectation maximization (SAEM) by using Kalman filter and expectation maximization algorithm so that it can exploit channel sparsity alternatively and also track the true support set of time-varying channel. Kalman filter is used to provide soft information of transmitted signals to the EM-based algorithm. Various numerical simulation results indicate that the proposed sparse channel estimation technique outperforms the previous estimation schemes.

• Journal of the Korea Society of Computer and Information
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• v.20 no.3
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• pp.107-113
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• 2015

This paper presents a polynomial time algorithm to the minimum cardinality feedback edge set and minimum weight feedback edge set problems. The algorithm makes use of the property wherein the sum of the minimum spanning tree edge set and the minimum feedback edge set equals a given graph's edge set. In other words, the minimum feedback edge set is inherently a complementary set of the former. The proposed algorithm, in pursuit of the optimal solution, modifies the minimum spanning tree finding Kruskal's algorithm so as to arrange the weight of edges in a descending order and to assign cycle-deficient edges to the maximum spanning tree edge set MXST and cycle-containing edges to the feedback edge set FES. This algorithm runs with linear time complexity, whose execution time corresponds to the number of edges of the graph. When extensively tested on various undirected graphs both with and without the weighed edge, the proposed algorithm has obtained the optimal solutions with 100% success and accuracy.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.529-540
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• 2014

We propose an efficient information science teaching-learning method to improve information-scientific creativity of mathematically and scientifically gifted students. The students are able to improve their creative problem solving and team-work abilities through team project work to resolve a variety of application problem in real world. In the pursuit of this purpose, we designed a new two-stage information science learning method consisted of the standard stage and the application stage, and a new systemic project process. Moreover, we applied small-scale cooperation learning strategies and a multi-dimensional assessment system. The analysis on our proposed model shows that there is a remarkable achievement of educational objectives on cognitive capability, social and affective ability of information science creativity.

• Journal of Educational Research in Mathematics
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• v.23 no.2
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• pp.75-94
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• 2013

As part of the education in the pursuit of equity, in this study, we have analyzed the differential item functioning on mathematics assessment through the result of 2011 National Assessment Educational Achievement. For this we used SIBTEST method and M-H method to extract differential item functioning on multicultural and North Korea migrant families students. As a result, 10 items that has the differential functioning were extracted by both methods in three school levels from Elementary, Middle and High School. The result of a exploratory for potential causes of differential functioning on multicultural and North Korea migrant families students through a qualitative analysis of each items that has been extracted, language ability, the complexity of computation and problem-solving process, the curriculum, the problem situation have been discussed. These results will be able to contribute to establishing education policy and designing teaching and learning methods for the multicultural and North Korea migrant families students.

• Lingua Humanitatis
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• v.5
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• pp.55-74
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• 2003

The issues concerning the nature of the attitude toward the study of national language may vary from country to country, depending on the national or racial characteristics. The problem domains and the methodologies dealing with them may vary accordingly. Ever since the Korean language was equipped with a writing system in the year of 1443 through King Sejong's long-cherished desire, investigations have been constantly made into the real nature of the language itself in pursuit of a better method for representing the spoken language in written form. This is how the study of the Korean language began to take shape. Among such investigations are Hunmin-jeong-eum(the Korean script: 1446) compiled by Jiphyon-jon, the royal office of schloarly researches, Doongguk-jeonghun-yokhun (the orthodox script of Korean: 1448), Hongmu-jeonghun-yeokhun(interlinear gloss for the Chinese script of the Ming Dynasty: 1455), An Orthodox Approach to Written Korean (1909) by the institute of the National Script, Re Standardized Spelling System (1933) by Chosun Language Society, An Authorized Dictionary of Standard Korean (1936), How to Write Borrowed Words(1940), and A Grand dictionary of Korea (1947-57). Chu Shi-Gyung's Phonetics of the Korean Script(1908), Korean Grammar(1910), and Sound Patterns of Korean(1914) were all written in this vein; so was Choi Hyun-Bae's Uri-mal-bon (the rudiments of Korean Grammar: 1929/1937). All these achievements in the study of the Korean language are the end-products of the constant endeavor to solve the issues related to the spoken and written farms of the Korean language. And this is how the uniqueness and autonomy of the language study in korea have been established. It should be borne in mind, however, that, in seeking solutions to the problems inherent in the Korean linguistic studies of foreign countries. On the contrary, they have been very active in accommodating such results. While they have set up their problem domains on the basis of the korean language, they been progressively open-minded in looking for the solutions to the problems at hand.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.347-356
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• 2017

It is well-known that the face recognition method via sparse representation has been proved very robust and showed good performance. Its weakness is, however, that its time complexity is very high because it should solve $L_1$-minimization problem to find the sparse solution. In this paper, we propose to use the ROMP(Regularized Orthogonal Matching Pursuit) method for the sparse solution, which solves the $L_2$-minimization problem with regularization condition using the greed strategy. In experiments, we shows that the proposed method is comparable to the existing best $L_1$-minimization solver, Homotopy, but is 60 times faster than Homotopy. Also, we proposed C-SCI method for classification. The C-SCI method is very effective since it considers the sparse solution only without reconstructing the test data. It is shown that the C-SCI method is comparable to, but is 5 times faster than the existing best classification method.

• Journal of Korean Elementary Science Education
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• v.34 no.4
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• pp.447-457
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• 2015

This study has attempted to find the teaching methods for the elementary students with low science achievement by examining the differences of science learning motivation, academic stress and stress coping styles and the characteristics shown in the relationship between them. To achieve this, the differences of science learning motivation, academic stress and stress coping styles of the elementary students with low science achievement and their relationship was set up as a study problem. A science learning motivation using a science learning motivation questionnaire reconfigured with PALS along with underachievers diagnosis were measured targeting 660 elementary students located in Seoul. Using an academic stress questionnaire and stress coping style questionnaire, an academic stress and stress coping styles were measured. The results of analyzing the collected data are as follows. First, a science learning motivation of elementary students with low science achievement was lower than the general students but the academic stress was shown higher. Especially, the self-efficacy of science learning motivation was significantly lower and the school stress was highest. For stress coping styles, a tendency of passive and avoidment coping styles were shown higher than the general students. Second, among the science learning motivation of elementary students with low science achievement, the self-efficacy motivation and school stress have shown a negative correlation but had a positive correlation with the goal-oriented motivation centered on ability. In the correlation between the science learning motivation of elementary students with low science achievement and the stress coping styles, the pursuit of social support coping styles have shown a significant positive correlation with the science learning motivation and its subcategories. As a result of conducting a regression analysis on the influence of academic stress and stress copying styles on the science learning motivation of elementary students with low science achievement, among the academic stresses, the school stress was shown to have the biggest influence. Among the stress coping styles, the pursuit of social support coping styles had the biggest influence on the science learning motivation followed by active coping behaviors, passive and avoidment coping behaviors. Low science learning motivation as underachievement factors of elementary students with low science achievement was identified as having a relationship with high school stress and undesirable stress copying styles. Therefore, guidance and a program are required for the elementary student with low science achievement to have desirable stress coping methods on the stressful situations. In addition, for the improvement of science learning motivation, a learning environment is needed for the elementary students with low science achievement with seeking of relevant educational methods.

• Journal of Communications and Networks
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• v.12 no.4
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• pp.289-307
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• 2010

The problem of model selection arises in a number of contexts, such as subset selection in linear regression, estimation of structures in graphical models, and signal denoising. This paper studies non-asymptotic model selection for the general case of arbitrary (random or deterministic) design matrices and arbitrary nonzero entries of the signal. In this regard, it generalizes the notion of incoherence in the existing literature on model selection and introduces two fundamental measures of coherence-termed as the worst-case coherence and the average coherence-among the columns of a design matrix. It utilizes these two measures of coherence to provide an in-depth analysis of a simple, model-order agnostic one-step thresholding (OST) algorithm for model selection and proves that OST is feasible for exact as well as partial model selection as long as the design matrix obeys an easily verifiable property, which is termed as the coherence property. One of the key insights offered by the ensuing analysis in this regard is that OST can successfully carry out model selection even when methods based on convex optimization such as the lasso fail due to the rank deficiency of the submatrices of the design matrix. In addition, the paper establishes that if the design matrix has reasonably small worst-case and average coherence then OST performs near-optimally when either (i) the energy of any nonzero entry of the signal is close to the average signal energy per nonzero entry or (ii) the signal-to-noise ratio in the measurement system is not too high. Finally, two other key contributions of the paper are that (i) it provides bounds on the average coherence of Gaussian matrices and Gabor frames, and (ii) it extends the results on model selection using OST to low-complexity, model-order agnostic recovery of sparse signals with arbitrary nonzero entries. In particular, this part of the analysis in the paper implies that an Alltop Gabor frame together with OST can successfully carry out model selection and recovery of sparse signals irrespective of the phases of the nonzero entries even if the number of nonzero entries scales almost linearly with the number of rows of the Alltop Gabor frame.

• Journal of Korean Home Economics Education Association
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• v.25 no.3
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• pp.79-91
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• 2013

The purpose of this study was to investigate the relation among peer support, family strength and self-control. This subjects were the 438 high school students living in Gwangju. Data were analyzed with SPSS 18.0 program. The major findings were as follows; First, the high school students' peer support and family strength scores were higher than median(3.00). Also, long-term satisfaction pursuit scores were higher than median and the immediate satisfaction pursuit scores were lower than median. Second, peer support showed significant difference according to sex. Family strength showed partially significant difference according to standard of living and parents' education achievement. Self-controls showed significant difference according to sex and father's education achievement. Third, family strength and the self-control showed significant correlation. Forth, the high school students' self-control was influenced by role sharing and problem solving, communication and family bonding and fathers' education achievement. And the high school students' self-control was explained about 15% by these variables. In conclusion, the role of home is important. it is necessary to enhance the education of financial stability and to improve self-control in order to help the students enhance solidity among family and communicate affirmatively.