• Journal of Broadcast Engineering
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• v.15 no.1
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• pp.144-147
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• 2010

Recently the change of content consumption trend activated the social video sharing platform and the video clip itself. There have been intensive interests and efforts to automatically abstract compact and meaningful video clips. In this paper, we propose a method which use the clustering of the bookmark data created by collective intelligence instead of using the video content analysis. The partitional clustering of points in 2-dimensional space derived from the bookmark data make it possible to abstract highlights effectively. The method is enhanced by the 1-dimensional accumulated bookmark count graph. Experiments on the real data from KBS internet service show the effectiveness of the proposed method.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.700-701
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• 2019

본 논문에서는 지역 데이터의 시각화에 적합한 증강현실 그래프를 제안하고, 이를 카드 사용 빅데이터에 적용하여 지역별 외식 성향 시각화 도구로 활용한 사례를 제시한다. 증강현실 그래프는 사용자가 위치한 해당 지역의 GPS 정보를 기반으로 빅데이터에서 분석 대상 지역을 선별하고, 지역별 특수 데이터를 찾아내어 해당 지역에 대한 빅데이타 분석 내용을 카메라 영상과 함께 시각화한 그래프이다. 증강현실 그래프를 적용한 외식 성향 시각화 사례에서는 카드 사용 가맹점 소재지 정보, 가맹점 업종, 카드사용시점(월), 카드 사용자 성별구분, 연령대, 월 카드사용금액 및 월 사용 건수 정보등을 수집하였다. 그리고, 분석 대상 지역에 대한 연령대별 외식 선호도 내용을 카드사용건수가 많은 업종별 순위 그래프로 시각화 하여 사용자의 위치에서 확인할 수 있도록 하였다. 제안 증강현실 그래프는 지역별 상권 현황, 아파트 시세 등에 효과적으로 적용될 수 있을 것으로 기대된다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.447-452
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• 2019

The elder problem is very serious stage in the age of present. This paper carries out scientometric analysis based on keyword that effort of global researcher for this research field as viewpoint of ICT and healthcare in order to settle physical exercise and rehabilitation of elder. First, this paper performs analysis of linkage relation of keyword. Second this paper carries out the analysis of degree distribution and centrality analysis of network based on betweenness centrality, closeness centrality and harmony centrality. Through this process, this paper reviews research trend of present and future through core keyword in the field of ICT and healthcare.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.233-240
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• 2021

The majority of the Web's success can be related to its productivity and flexibility. Web Services (WSs) have the means to create new patterns for the delivery of software capabilities. The WS easily provides the use of existing components available via the Internet. WSs are a new trend that shares ubiquitous systems with others, so the popularity of the Web is increased day by day with their associated systems. This paper will explore and adopt the possibility of developing a technique that will automate instructors' scheduling of timetables within a Web services environment. This technique has an advantage that facilitates users to reduce the time cost and effort by reducing errors and costs for institutes. Providing dependable tables to avoid mistakes related to instituting schedules is ensured by an automated repetitive manual procedure. Automated systems are increasingly developed based on organizations and their customers. Still, the setting's difficulty of automation systems increases to rise as the system architecture and applications must accomplish various requirements and specifications of ever-demanding project scenarios. The automation system is composed of an operating system, platforms, devices, machines, control system, and information technology. This architecture provides more productivity and optimized services. The main purpose of this paper is to apply an automation system to enhance both quality and productivity. This paper also covers an agile method of proving an automation system by Finite State Machine (FSM) and Attributed Graph Grammar (AGG) tool.

• Nuclear Engineering and Technology
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• v.13 no.4
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• pp.207-220
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• 1981

The Np-237 fission cross-sections up to 20 MeV incident neutron energy are calculated by means of the computer code STAPRE- a statistical model code with consideration of preequilibrium decay. The higher chance fissions up to third compound nucleus are taken into account, and the main input parameters in the treatment of fission under consideration of a double-humped fission barrier are carefully adjusted, so that the current trend of experimental data can be fitted within an apparent deviation of about 10% throughout the entire energy range. Results are presented in the form of point-wise cross-section values, and also in the form of graph to demonstrate the shape agreement.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.4
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• pp.413-418
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• 2019

Studies are now actively underway to confirm the degree of treatment and rehabilitation of patients with brain-related diseases (dementia, schizophrenia, depression, Parkinson's disease). Among them, Transcranial magnetic stimulation (TMS) is widely used in treatment because it is a technique that is used for noninvasive brain neuron control in patients with brain disorders. It can be seen that muscle fatigue of normal people increases during Transcranial magnetic stimulation. Therefore, in this paper, our purpose is to build an EMG measurement system to measure motor neuron-induced response during transcranial magnetic stimulation and We identify a motor-neutral response system using tendency in the RMS graph. As an experimental method, the Raw Data received through the surface EMG device and analyzed by RMS technique, after the contraction and relaxation movement of the biceps brachii. As a result of the experiment, we confirmed the trend of rising RMS graph, and it will can be used to determine the self-stimulation intensity for each individual in consideration of the data of the motor-neutral response.

• Journal of Internet of Things and Convergence
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• v.7 no.2
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• pp.13-19
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• 2021

It is analyzed that the energy pattern is affected by the social matters of the disease trend where the energy consumption has been reduced following the depression of the national economy. The campaign of social distance for the people has been done by voluntary or legally due to the epidemic of the Coronavirus Disease 2019 (COVID-19). Some economic stimulus policies have been done in some countries including the United States, South Korea, and some others. It is shown the susceptible, infectious, and recovered (SIR) modeling applied by system dynamics (SD) where the logical modeling is constructed with S, I, and R. Especially, the I is connected with Society including Population, Race, and Maturity. In addition, Economy and Politics are connected to Income, GDP, Resources, President, Popularity, Ruling Government, and Leadership. The graph shows the big jump on 2020 April when is the starting month of the S value multiplication. This shows the effect of the COVID-19 and its related post-pandemic trend. The trends of OECD and non-OECD are very similar and the effect of the virus hazards causes significantly to the economic depressions.

• The Korea Journal of Herbology
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• v.31 no.2
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• pp.21-37
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• 2016

Objectives : The study was aimed to analyze the correlation between Herbology and contemporary research results, KCD-codes and terms. The study will present information that can be used to find the direction of further researches and be applied to the education of Herbology.Methods : Papers were searched in OASIS and PubMed. Papers were then categorized as "medicine and pharmacy articles" or "articles unrelated to medicine and pharmacy." Medicine or pharmacy articles about Gastrodiae Rhizoma were matched with treatments in Herbology and KCD-codes. Medicine and pharmacy articles which did not research Gastrodiae Rhizoma mainly and articles unrelated to medicine and pharmacy were categorized and analyzed. KCD-codes and terms were arranged by treatments in Herbology. Research types, the number of papers, and the citation count were arranged by each treatment in Herbology. Degrees of Herbology research were represented as a table and a graph.Results : There were 148 Medicine and pharmacy articles about Gastrodiae Rhizoma, 76 medicine and pharmacy articles which did not studied Gastrodiae Rhizoma mainly, and 120 articles unrelated to medicine and pharmacy. Researches on Senility and hypertensive diseases were conducted to the degree of clinical research. Numbness of the limbs scored 617, Epilepsy and convulsions scored 257.Conclusions : The study suggests that there were 148 medicine and pharmacy articles about Gastrodiae Rhizoma. Epilepsy and convulsions were the most researched treatment in Herbology. Of the medicine and pharmacy articles tha t did not match treatments in Herbology, there were clinical research articles researching on senility which can be used in the Herbology education field.

• The Korean Journal of Nuclear Medicine Technology
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• v.20 no.2
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• pp.69-74
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• 2016

Purpose Using a regression formula of the trendline near the coefficient of determination (R2) "1" by substituting the dependent variable of the standard curve to calculate the values of the independent variable. To determine the suitability of a regression equation by comparing the difference between the independent variables of the standard curve and the predicted independent variables. Materials and Methods Perkin Elmer Gamma-Counter machine was used for Standard curve of regression methods. TSH. TG-Ag (Thyroglobulin Antigen), Insulin that used materials and method test to compare the result from the Excel trendline of the regression formula. Results Each of the value of coefficient of determination ($R^2$) and Trendline $R^2=1$, Polynomial Trendline for TSH, $R^2=1$, Polynomial Trendline for TG-Ag, $R^2=0.9994$, Polynomial Trendline for Insulin. Conclusion We confirmed that IRMA immune method is found to the nearest trends elected a standard curve using polynomial trendline. The independent variables to predict the trend by using a polynomial trendline formula containing the error was a limitation.

• Korean Journal of Remote Sensing
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• v.27 no.6
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• pp.637-651
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• 2011

This study presents a rule-based urban image classification method for time series analysis of changes in the vicinity of Asan-si and Cheonan-si in Chungcheongnam-do, using Landsat satellite images (1991-2006). The area has been highly developed through the relocation of industrial facilities, land development, construction of a high-speed railroad, and an extension of the subway. To determine the yearly changing pattern of the urban area, eleven classes were made depending on the trend of development. An algorithm was generalized for the rules to be applied as an unsupervised classification, without the need of training area. The analysis results show that the urban zone of the research area has increased by about 1.53 times, and each correlation graph confirmed the distribution of the Built Up Index (BUI) values for each class. To evaluate the rule-based classification, coverage and accuracy were assessed. When Optimal allowable factor=0.36, the coverage of the rule was 98.4%, and for the test using ground data from 1991 to 2006, overall accuracy was 99.49%. It was confirmed that the method suggested to determine the maximum allowable factor correlates to the accuracy test results using ground data. Among the multiple images, available data was used as best as possible and classification accuracy could be improved since optimal classification to suit objectives was possible. The rule-based urban image classification method is expected to be applied to time series image analyses such as thematic mapping for urban development, urban development, and monitoring of environmental changes.