• Journal of information and communication convergence engineering
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• 제21권1호
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• pp.54-61
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• 2023

The family tree is one of the key elements of humanities classics research and is very important for accurately understanding people or families. In this paper, we introduce a method for automatically generating a family tree using information on interpersonal relationships (IIPR) from the Korean Classics Database (KCDB) and visualize interpersonal searches within a family tree using data-driven document JavaScript (d3.js). To date, researchers of humanities classics have wasted considerable time manually drawing family trees to understand people's influence relationships. An automatic family tree builder analyzes a database that visually expresses the desired family tree. Because a family tree contains a large amount of data, we analyze the performance and bottlenecks according to the amount of data for visualization and propose an optimal way to construct a family tree. To this end, we create an n-ary tree with fake data, visualize it, and analyze its performance using simulation results.

• 한국정보기술학회 영문논문지
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• 제8권2호
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• pp.27-39
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• 2018

In this paper, we describe the algorithms, EEG classification methods, and position data analysis methods using EEG and ADS1299 sensors. In addition, it is necessary to manage the amount of real-time data of location data and EEG data and to extract data efficiently. To do this, we explain the process of extracting important information from a vast amount of data through a cloud server. The electrical signals extracted from the brain are measured to determine the psychological state and health status, and the measured positions can be collected using the position sensor and triangulation method.

• 한국컴퓨터정보학회논문지
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• 제27권1호
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• pp.115-128
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• 2022

본 연구는 50대 이상 여성을 대상으로 요실금 증상 및 요실금 제품에 대한 착용실태 및 구매실태, 선호도 등을 조사 분석하고자 하였다. 연구는 설문지법으로 이루어졌으며, 분석에는 SPSS 26.0 프로그램을 활용하였다. 요실금 패드와 팬티 구입 시 방수기능, 흡수속도 등이 중요한 것으로 인식되었다. 요실금 제품의 추가 희망 기능은 샘 방지 기능이 가장 많았고, 선호 색상은 살색이 많았다. 요실금 횟수가 많을 때 흡수기능, 요실금 양이 적을 때는 치수나 맞음새가 중요하였지만, 요실금 양이 많아지면 방수기능이 중요한 것으로 나타났다. 요실금 발생빈도가 높고 요실금 양이 많을 때 샘 방지 기능이 추가되기를 희망하였고, 팬티형 패드를 선호하였다. 분만 횟수가 많을수록 요실금의 양도 많았으며, 요실금 증상도 빈번하게 나타나는 것으로 분석되었다. 폐경 연령에 따라서도 요실금 양에 유의미한 차이를 나타내 조기 폐경 시 요실금 양이 많은 것을 알 수 있다.

• 한국통신학회논문지
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• 제37A권12호
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• pp.1043-1053
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• 2012

In distributed video coding (DVC) systems, the complexity of encoders is greatly reduced by removing the motion estimation operations in encoders, since the correlation between frames is utilized in decoders. The transmission of parity bits is requested through the feedback channel, until the related errors are corrected to decode the Wyner-Ziv frames. The requirement to use the feedback channel limits the application of DVC systems. In this paper, we propose an efficient method to remove the feedback channel in DVC systems. First, a simple side information generation method is proposed to calculate the amount of parity bits in the encoder, and it is shown that the proposed method yields good performance with low complexity. Then, by calibrating the theoretical entropy with three parameters, we can calculate the amount of parity bits in the encoder and remove the feedback channel. Moreover, an adaptive method to determine quantization parameters for key frames is proposed. Extensive computer simulations show that the proposed method yields better performance than conventional methods.

• 기술혁신연구
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• 제12권1호
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• pp.25-48
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• 2004

The relative efficiency of loan projects of information technology promotion fund is measured using Data Envelopment Analysis. Information technology promotion project is supervised by the Ministry of Information and Communication and is managed by the Institute of Information Technology Assessment. Among all the projects of information technology supported by this fund, this study deals with the themes that have been completed from 2000 to 2002. With multiple input and output data including the amount of fund, the period of study, the rate of increase in revenue, the increase in the amount of export and the increase in the number of patent, the relative efficiency scores of all the 119 subjects were calculated in CCR and BCC models of DEA. From the reference sets of some inefficient Decision Making Units, the causes of their inefficiency were analyzed. To compare the relative efficiencies among various DMUs, Super-Efficiency Ranking Method and Logistic Regression Model were used. As the result of this study, it was shown that W promotion funds in the fields related to mobile technology, visual equipment and communication device were used most efficiently.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1530-1537
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• 2016

Recently, solar power generation shows the significant growth in the renewable energy field. Using the short-term prediction, it is possible to control the electric power demand and the power generation plan of the auxiliary device. However, a short-term prediction can be used when you know the weather forecast. If it is not possible to use the weather forecast information because of disconnection of network at the island and the mountains or for security reasons, the accuracy of prediction is not good. Therefore, in this paper, we proposed a system capable of short-term prediction of solar power generation amount by using only the weather information that has been collected by oneself. We used temperature, humidity and insolation as weather information. We have applied a moving average to each information because they had a characteristic of time series. It was composed of min, max and average of each information, differences of mutual information and gradient of it. An artificial neural network, SVM and RBF Network model was used for the prediction algorithm and they were combined by Ensemble method. The results of this suggest that using a moving average during pre-processing and ensemble prediction models will maximize prediction accuracy.

• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.17-24
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• 2018

Today, we are living in the era of data and information. With the advent of Internet of Things (IoT), the popularity of social networking sites, and the development of mobile devices, a large amount of data is being produced in diverse areas. The collection of such data generated in various area is called big data. As the importance of big data grows, there has been a growing need to share big data containing information regarding an individual entity. As big data contains sensitive information about individuals, directly releasing it for public use may violate existing privacy requirements. Thus, privacy-preserving data publishing (PPDP) has been actively studied to share big data containing personal information for public use, while preserving the privacy of the individual. K-anonymity, which is the most popular method in the area of PPDP, transforms each record in a table such that at least k records have the same values for the given quasi-identifier attributes, and thus each record is indistinguishable from other records in the same class. As the size of big data continuously getting larger, there is a growing demand for the method which can efficiently anonymize vast amount of dta. Thus, in this paper, we develop an efficient k-anonymity method by using Spark distributed framework. Experimental results show that, through the developed method, significant gains in processing time can be achieved.

• 디지털산업정보학회논문지
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• 제14권3호
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• pp.1-10
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• 2018

Social network services allow you to share your thoughts and preferences more easily. They share your views with a large number of people who are friends with you without restriction of time or place. In the IoT environment, the amount of data is massively increasing as social network services spread rapidly. This change in the environment is driving the need for research into new retrieval methods that are different from conventional retrieval methods. In this paper, we propose a progressive retrieval method using the intimacy of social network users in the IoT. The first thing is to extract the user with the highest intimacy by using the property that the number of the owner of the information stored in the IoT environment is small. By accessing information in objects owned by these extracted users, the amount of information retrieved is reduced. It also improves retrieval efficiency by gradually retrieving information according to the user's level of interest. We present a new retrieval method and algorithm. The scenario also illustrates the effectiveness of the proposed method.

• 한국환경과학회지
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• 제19권3호
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• pp.353-363
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• 2010

The most efficient measures to reduce damage from natural disasters include activities which prevent disasters in advance, decrease possibility of disasters and minimize the scale of damage. Therefore, developing of the risk assessment model is very important to reduce the natural disaster damage. This study estimated a typhoon damage which is the biggest damage scale among increased natural disasters in Korea along with climate change. The results of 3-second gust at the height of 10m level from the typhoon 'Maemi' which did considerable damage to Korean in 2003, using the wind data at the height of 700 hPa. September 12th 09 LST~13th 12 LST period by the time a typhoon Maemi approached to the Korean peninsula. This study estimate damage amount using 'Fragility curve' which is the damage probability curve about a certain wind speed of the each building component factors based on wind load estimation results by using 3-second gust. But the fragility curve is not to Korea. Therefore, we use the fragility curves to FPHLM(FDFS, 2005). The result of houses damage amount is about 11 trillion 5 million won. This values are limit the 1-story detached dwelling, $62.51\sim95.56\;m^2$ of total area. Therefore, this process is possible application to other type houses.

• 정보보호학회논문지
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• 제19권1호
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• pp.71-79
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• 2009

현재 커널 기반 데이터인 시스템 호출을 이용하는 호스트 기반 침입 탐지 연구가 많이 진행되고 있다. 시스템 호출을 이용한 침입 탐지 연구는 시퀀스 기반과 빈도 기반으로 시스템 호출을 전 처리 하는 방법이 많이 사용되고 있다. 실시간 침입 탐지 시스템에 적용할 때 시스템에서 수집 되는 시스템 호출 데이터의 종류와 수집 데이터가 많아 전처리에 어려움이 많다. 그러나 비교적 시퀀스 기반 방법보다 전처리 시간이 작은 빈도 기반의 주로 방법이 사용 되고 있다. 본 논문에서는 현재에도 시스템 공격 중 비중을 많이 차지하고 있는 서비스 거부 공격을 탐지 하기위해 빈도 기반의 방법에 사용하는 전체 시스템 호출을 주성분 분석(principal component analysis)을 이용하여 주성분이 되는 시스템 호출들을 추출하여 베이지안 네트워크를 구성하고 베이지안 분류기를 통하여 탐지하는 효율적인 방법을 제안한다.