• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.99-107
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• 2021

We live in a myriad of data. Various data are created in all situations in which we work, and we discover the meaning of data through big data technology. Many efforts are underway to find meaningful data. This paper introduces an analysis technique that enables humans to make better choices through the trend and prediction of time series data as a principal component analysis technique. Principal component analysis constructs covariance through the input data and presents eigenvectors and eigenvalues that can infer the direction of the data. The proposed method computes a reference axis in a time series data set having a similar directionality. It predicts the directionality of data in the next section through the angle between the directionality of each time series data constituting the data set and the reference axis. In this paper, we compare and verify the accuracy of the proposed algorithm with LSTM (Long Short-Term Memory) through cryptocurrency trends. As a result of comparative verification, the proposed method recorded relatively few transactions and high returns(112%) compared to LSTM in data with high volatility. It can mean that the signal was analyzed and predicted relatively accurately, and it is expected that better results can be derived through a more accurate threshold setting.

• Proceedings of the Optical Society of Korea Conference
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• 2005.02a
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• pp.90-91
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• 2005

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.2
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• pp.186-201
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• 2013

This study investigates the effects of information type, direction of information, method of suggestion, tie strength, and interactions among these variables on the acceptance and diffusion of fashion product information in the mobile Facebook environment. Two subsequent studies were conducted to test the relationships among mobile SNS WOM factors. Two independent on-line surveys were implemented. Six hundred forty consumers aged between 20 and 39 were recruited for Study 1, and four hundred and eighty for Study 2. We manipulated the WOM delivery situation by information type (factual/evaluative), information directionality (positive/negative), tie-strength (strong/weak), and information presentation method (text/image/rink). Eight scenarios were developed and randomly assigned to the research participants. Frequency analysis, reliability, factor analysis, regression analysis, and ANOVA were implemented using SPSS 18.0. The Analysis of experiment data produced interesting results. Most WOM factors (including the information type, information presentation method, and tie strength) influence WOM acceptance; however, only the tie strength effected WOM activity. It was also proven that people are prone to accept information that is more realistic, objective, and negative, and they tend to accept information with visual factors, such as images and video clips rather than a simple text message. In this study, we offer a practical perspective to fashion industry and marketers who have an interest in SNS marketing. We have defined the distinct characteristics of mobile WOM that have been formed by a combination of former on/off-line WOM characteristics. To examine the moderating roles of two types of consumer innovativeness, fashion innovativeness and technology innovativeness were also measured and found to have significant moderating effects between mobile SNS WOM factors and their consequences. The paper concludes with a discussion on managerial implications and limitations.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.626-629
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• 2004

Texture imaging, which means texture image creation by co-occurrence relation, has been known as one of useful image analysis methodologies. For this purpose, most commercial remote sensing software provides texture analysis function named GLCM (Grey Level Co-occurrence Matrix). In this study, texture-imaging program for GLCM algorithm is newly implemented in the MS Visual IDE environment. While, additional texture imaging modules based on GLDV (Grey Level Difference Vector) are contained in this program. As for GLCM/GLDV texture variables, it composed of six types of second order texture function in the several quantization levels of 2(binary image), 8, and 16: Homogeneity, Dissimilarity, Energy, Entropy, Angular Second Moment, and Contrast. As for co-occurrence directionality, four directions are provided as $E-W(0^{\circ}),\;N-E(45^{\circ}),\;S-W(135^{\circ}),\;and\;N-S(90^{\circ}),$ and W-E direction is also considered in the negative direction of E- W direction. While, two direction modes are provided in this program: Omni-mode and Circular mode. Omni-mode is to compute all direction to avoid directionality problem, and circular direction is to compute texture variables by circular direction surrounding target pixel. At the second phase of this study, some examples with artificial image and actual satellite imagery are carried out to demonstrate effectiveness of texture imaging or to help texture image interpretation. As the reference, most previous studies related to texture image analysis have been used for the classification purpose, but this study aims at the creation and general uses of texture image for urban remote sensing.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.113-121
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• 2017

Korea is a country that needs trade. Because it lacks natural resources but has excellent skills and manpower. Trade balance means 'profit from the process of buying and selling various goods and services in many abroad countries'. If the export amount of Korea is more than the import amount, it is called the trade surplus. The purpose of this study is to find trends and future directions of exports and imports over the last 210 months for the US, China, Japan, United Kingdom which have large trade with Korea, Since 2000, China's exports have grown more than 800%. However, in the case of the US and Japan, there is a steady increase rate of around 200% without any major change. In order for Korea to increase exports for the surplus of trade balance, it seems that the increase in exports to the US and Japan as well as the increase in exports to China are more important. Since the rate of growth has been declining slightly due to the decline in exports of auto makers to China since 2014, we need a strategy to prepare for this.

• Journal of the Korean housing association
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• v.19 no.2
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• pp.105-114
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• 2008

This study is conducted to investigate the organization of Cheongunri in Cheong-song, as well as the characteristics of folk houses. In this study, 82 folk houses, including the villages, are surveyed; among them, 15 houses are intensively analyzed in terms of the structure of plane and the arrangement of space. The focus of study is on discovering an internal order system of villages and tracing a relationship between the characteristics of houses and the environmental factors. According to the results of the study, an Intrinsic order in Cheongunri is found to be related to the mountain axis, the road system, and the flow axis; and the form of folk houses is also found to be influenced by this order. The major characteristics of folk houses can be summarized as follows: (1) Most of the houses face east along the mountain axis, whereas houses influenced by the flow axis tend to face south. (2) The side of houses tend to be open to the outside, showing external directionality. This characteristic seems to be closely related to the direction of the main gate in a house site. (3) The layout of the main quarters and the annex quarters is found to be related to the direction of the main gate in a house site. Especially, the characteristics of courtyard are found to be affected by the annex quarters. From the above results, it can be concluded that villages have an intrinsic order depending on the geographic characteristics of a surrounding natural environment, and folk houses have also changed accordingly.

• Journal of Biomedical Engineering Research
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• v.37 no.2
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• pp.68-74
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• 2016

In this study, we investigated the rotational characteristics which were comprised of directionality and linearity of target registration error (TRE) as a study in advance to enhance the accuracy of contour-based registration in neuronavigation. For the experiment, two rigid head phantoms that have different faces with specially designed target frame fixed inside of the phantoms were used. Three-dimensional coordinates of facial surface point cloud and target point of the phantoms were acquired using computed tomography (CT) and 3D scanner. Iterative closest point (ICP) method was used for registration of two different point cloud and the directionality and linearity of TRE in overall head were calculated by using 3D position of targets after registration. As a result, it was represented that TRE had consistent direction in overall head region and was increased in linear fashion as distance from facial surface, but did not show high linearity. These results indicated that it is possible for decrease TRE by controlling orientation of facial surface point cloud acquired from scanner, and the prediction of TRE from surface registration error can decrease the registration accuracy in lesion. In the further studies, we have to develop the contour-based registration method for improvement of accuracy by considering rotational characteristics of TRE.

• Interdisciplinary Bio Central
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• v.1 no.2
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• pp.8.1-8.6
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• 2009

Introduction: It is a challenge to design a protein score function which stabilizes the native structures of many proteins simultaneously. The coarse-grained description of proteins to construct the pairwise-contact score function usually ignores the backbone directionality of protein structures. We propose a new two-body score function which stabilizes all native states of 1,006 proteins simultaneously. This two-body score function differs from the usual pairwise-contact functions in that it considers two adjacent amino acids at two ends of each peptide bond with the backbone directionality from the N-terminal to the C-terminal. The score is a corresponding propensity for a directional alignment of two adjacent amino acids with their local environments. Results and Discussion: We show that the construction of a directional adjacency-score function was achieved using 1,006 training proteins with the sequence homology less than 30%, which include all representatives of different protein classes. After parameterizing the local environments of amino acids into 9 categories depending on three secondary structures and three kinds of hydrophobicity of amino acids, the 32,400 adjacency-scores of amino acids could be determined by the perceptron learning and the protein threading. These could stabilize simultaneously all native folds of 1,006 training proteins. When these parameters are tested on the new distinct 382 proteins with the sequence homology less than 90%, 371 (97.1%) proteins could recognize their native folds. We also showed using these parameters that the retro sequence of the SH3 domain, the B domain of Staphylococcal protein A, and the B1 domain of Streptococcal protein G could not be stabilized to fold, which agrees with the experimental evidence.

• Plant Journal
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• v.14 no.1
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• pp.34-41
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• 2018

Current study is the era of fusion, and future study is the era of integration. The prerequisite of study integration is that all studies must be equal to each other, and only laws derived from natural laws can achieve the equivalence of integration. We suggest that the ability to make change is defined as energy. All things change, the change necessarily has directionality, therefore change and directionality apply equally to all studies. The zeroth law of integral studies is the law of existence, the first law is the law of change conservation, the second law is the law of increasing non-available change, the third law is the law of the guidelines, and the fourth law is the law of fusion. The above laws are very similar to the law of thermodynamics. The ultimate aim of the five integral laws is the realization of a community in which natural, human, and AI individuals cooperate and develop each other on the earth.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.387-399
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• 2019

This study examines the effects of entrepreneurship and organizational innovation capacity(strategic planning capacity, R&D capacity, technology commercialization capacity) and strategic directionality (customer orientation, technology orientation) The relationship between corporate entrepreneurship and innovation capacity. First, the research model and the hypothesis were set up based on the literature review, and 400 questionnaires were distributed and retrieved for the manufacturing workers in Gyeongbuk province. As a result of the study, it accepted that the corporate entrepreneurship had significant influence on organizational innovation capacity. And confirmed a significant moderating effect of strategic directionality. However, the moderating effect of customer orientation was rejected in relation to entrepreneurship and technology commercialization. These findings can provide guidelines for organizational management in terms of culture by identifying the effects of corporate entrepreneurship and strategic orientation at organizational level.