• Journal of Digital Convergence
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• v.13 no.5
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• pp.237-244
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• 2015

Export-led policies, FTA signed and economics of scale through a variety of market-oriented policies, such as regulations to improve market grew constantly. Accordingly, the correct decision making accurately analyze the economics market for decision, a problem has been an important issue in predicting. For accurate analysis and decision-making of the most common indicators of the stock market by proposing a number of indicators of economic transformation techniques were applied to the convergence model combining estimation and forecasts problem confirmed its effectiveness. Experimental result, gave the model estimation method to apply a transform to show the valid combinations proposed model state estimation result was confirmed in a very similar exercise aspect of the physical problem and the KOSPI index prediction.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.32-39
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• 2015

In this paper, We propose the futuristic map using variety technology of advanced ICT-based. The futuristic maps are expected to developed into a new format of user participation to express the results in various formats through the understanding and interpretation of the facts and phenomena of tangible and intangible that exist in the real world. In the future, the map is expected to be developed into form of a new paradigm map made in real time that economy, industry, the collection of information necessary for everyday life, processing, usage, analysis, distribution and sharing. In this paper, we provide a real-time personalized contents to digitize the information of the real space based on the concept of map, databases, spatial analysis and describes the key technologies that characterized by the representation of time-series data by analyzing and prediction every field macro phenomena of society, economy, culture and etc. And we establish the concepts of the 'New Paradigm Map' for future creative economy.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.305-311
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• 2013

The size of the market as the economy continues to evolve, in order to make the right decisions to accurately predict the economic problems the market has emerged as an important issues. To express the modern economic system, the largest of the various economic indicators, pillars stock indicators analysis and decision-making with a proper understanding of the problem for the application of the model is suitable for time-series data concealment HMM. Based on this time series model and the calculation of the time and cost savings dimension decrease techniques for the estimation and prediction of the model was applied to the problem was to verify the validity. As a result, the model predictions in both the short term rather than long-term predictions of the model estimates the optimal predictive value similar pattern very similar to both the actual data and was able to confirm that.

• Journal of the Korean Society for information Management
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• v.30 no.1
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• pp.285-302
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• 2013

This study identified topic shifts and patterns over time by analyzing an enormous amount of Twitter data whose characteristics are high accessibility and briefness. First, we extracted keywords for a certain product and used them for representing the topic network allows for intuitive understanding of keywords associated with topics by nodes and edges by co-word analysis. We conducted temporal analysis of term co-occurrence as well as topic modeling to examine the results of network analysis. In addition, the results of comparing topic shifts on Twitter with the corresponding retrieval results from newspapers confirm that Twitter makes immediate responses to news media and spreads the negative issues out quickly. Our findings may suggest that companies utilize the proposed technique to identify public's negative opinions as quickly as possible and to apply for the timely decision making and effective responses to their customers.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.477-480
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• 2009

최근 북한지역에 발생한 홍수와 가뭄 등 심각한 자연재해의 원인이 악화된 식량난으로 인한 과도한 산림의 훼손으로 추정되고 있어 북한 지역의 산림 생태계에 대한 연구의 필요성을 더욱 확인하는 계기가 되고 있다. 위성자료로부터 얻을 수 있는 식생지수(NDVI)는 농작물, 초목, 산림등과 같은 중요한 식생자원을 모니터링 하기 위해 설계된 도구로 식생의 활력도를 정량적으로 표현할 수 있다. 또한, 식생지수는 개략적인 식생을 파악하는데 주로 사용되기 때문에 초기조사에 많이 이용되고 있다. 따라서, 본 연구에서는 개마고원지대를 포함하는 표고 1000m 이상의 한대림지대의 산림식생에 대해 9년(2000~2008)간의 시계열 MODIS영상에서 나타나는 식생지수의 생물계절 특징을 분석하였다. 식생이 성장하기 시작하는 시기(the beginning of the growing season)는 5월 9일 이후부터 5월 25일 사이의 기간으로 나타났고, 식생의 휴면 시기(the end of growing season)는 9월 14일부터 9월 30일 사이 기간으로 관측되었다. 이는 4월 초에 시작하고 10월에 사라지는 한반도의 일반적이 식생패턴보다 성장은 한달 늦게, 휴면은 한달 이르게 한다는 것이 확인되었다. 또한, 8월 초순의 NDVI 값이 9년 동안 계속적으로 가장 높은 값을 보여주고 있다. 이것은 개마고원지역 및 주변 한대림 지대는 7월 말에서 8월 초순에 식생이 가장 활발한 것을 의미한다. 9년 동안 전반적인 식생지수는 0.2~0.9 값을 보였고, 특이할 점은 9년 동안의 평균적인 NDVI 값에 비해 2002년의 식생의 활동이 봄에 빨리 개화하고 가을에 일찍 지는 패턴을 보였다.

• The KIPS Transactions:PartD
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• v.10D no.2
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• pp.283-292
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• 2003

One-dimensional time-series data have been studied in various database applications such as data mining and data warehousing. However, in the current complex business environment, multidimensional data sequences (MDS') become increasingly important in addition to one-dimensional time-series data. For example, a video stream can be modeled as an MDS in the multidimensional space with respect to color and texture attributes. In this paper, we propose the effective similarity measures on which the similar pattern retrieval is based. An MDS is partitioned into segments, each of which is represented by various geometric and semantic features. The similarity measures are defined on the basis of these segments. Using the measures, irrelevant segments are pruned from a database with respect to a given query. Both data sequences and query sequences are partitioned into segments, and the query processing is based upon the comparison of the features between data and query segments, instead of scanning all data elements of entire sequences.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.147-154
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• 2006

The final purpose of this study is to explore morphological change of Shenyang in the period of the rising Chung Dynasty. For that purpose we have tried to build the historical GIS DB of site and analysis of the structure and shape pattern of the city by using the functions of GIS. From the view of spatial structure and cultural context, main characteristics, which is derived from the analysis of ancient map of Shenyang, can be summarized into five things as follows ; transformation of open spatial structure into closed structure, combination of horizontal spatial structure with vertical structure, transformation of practical spatial structure into symbolic structure, transformation of natural spatial structure into institutional form of ancient Chinese capital city, conservation of traditional Manchurian culture.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.595-602
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• 2009

Fuzzy rules, which represent the behavior of their system, are sensitive to fuzzy clustering techniques. If the classification abilities of such clustering techniques are improved, their systems can work for the purpose more accurately because the capabilities of the fuzzy rules and parameters are enhanced by the clustering techniques. Thus, this paper proposes a new hierarchically structured clustering algorithm that can enhance the classification abilities. The proposed clustering technique consists of two clusters based on correlationship and statistical characteristics between data, which can perform classification more accurately. In addition, this paper uses difference data sets to reflect the patterns and regularities of the original data clearly, and constructs multiple fuzzy systems to consider various characteristics of the differences suitably. To verify effectiveness of the proposed techniques, this paper applies the constructed fuzzy systems to the field of time series prediction, and performs prediction for nonlinear time series examples.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.1
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• pp.29-34
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• 2017

Recently, studying chaotic dynamic have been concerned by many researchers in areas of physics, chemistry, mathematics, engineering and social science. Especially, model of addiction, happiness, family and love become major research subjects in the social science. Among these models, love is one of the four emotions that human being have. There are many definitions for love, however, each definitions of love does not coincide with each other. Recently, one of the most important efforts for research is love and it is represented by derivative equation. Then they try to find nonlinear or chaotic behavior from this derivative equation. This paper propose Gaussian fuzzy membership function in order to make external force that are close to action and awareness of human based on love model of Romeo and Juliet with external force. This paper also confirms the existence of nonlinear characteristics through time series and phase portrait.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.217-224
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• 2017

Recently, we have been continued effort that chaotic theory apply into love model which is an area of social science. To make the chaotic behaviors in the differential equation that represent as Romeo and Juliet, we apply an external force to the differential equation. However, this external force have disadvantage that cannot exactly represent for emotion of human. In this paper, to solve these advantage, we introduce triangular fuzzy membership function to provide the external force that can describe most similar status for action and word of human in the love model of Romeo and Juliet. Also, to confirm the chaotic behaviors in the love model of Romeo and Juliet with proposed fuzzy membership function, we use time series and phase plane.