• Annual Conference of KIPS
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• 2013.11a
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• pp.1490-1492
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• 2013

최근 들어 스마트폰과 같은 휴대용 장치에 안드로이드 운영체제가 널리 탑재되면서, 안드로이드용 애플리케이션이 활발히 개발되고 있다. 본 논문에서는 텍스트를 음성으로 변환하는 안드로이드용 TTS(Text-to-Speech) 애플리케이션을 개발한다. 기존의 유사 TTS 애플리케이션들과 달리, 본 논문에서 개발한 애플리케이션은 사용자가 직접 입력한 임의의 텍스트를 음성으로 읽어주는 기능과 미리 저장되어 있는 전자책을 불러와 음성으로 읽어주는 기능을 모두 제공한다. 또한 한글과 영어를 모두 지원하기 때문에, 한글 텍스트와 영어 텍스트를 모두 사용할 수 있다. 따라서 본 애플리케이션은 여러 사용자에 의해 다양한 용도로 사용될 수 있다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.267-268
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• 2021

Since the first BIM development outline was issued in 2011, China has initially tried to adopt BIM in the construction industry. After the BIM guide was issued in 2017, China has officially entered the era of building informatization in the construction industry. Through the statistical data of BIM application reports in China's construction industry from 2014 to 2020, this paper concludes that China has made great progress in the popularization rate of BIM, but has little effect in the adoption in actual projects. Through the reading and analysis of relevant documents in China, 13 obstacle factors for BIM technology adoption in construction enterprises are preliminarily defined.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.501-504
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• 2021

최근 언어 모델은 분류, 기계 독해, 생성 등의 태스크에서 성공적인 결과를 보여주고 있다. 본 논문에서는 최근 많은 관심을 받고 있는 인코더-디코더 구조의 언어 모델인 BART, T5 그리고 PALM을 위키피디아 한국어 데이터 집합으로 사전 학습한 후 기계 독해와 문서 생성 요약 태스크에 대하여 미세 조정을 하고 성능 비교를 한다.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.4
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• pp.179-194
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• 2018

The purpose of this study is to discuss the application of the Latent Growth Model to measure the outcomes of public library. For outcome measurements, library circulation data were collected to identify longitudinal changes of library users' reading habit. The latent growth model was applied to statistically test the changes over time. The circulation data of 95,962 users registered in some public libraries in Seoul, ranged between 2010 and 2015, were analyzed using unconditional model, conditional model, and growth mixture model which all are called the latent growth model. The results show that the intercept of the model is 4.19 and the slop is 0.24 in the linear growth model. The gender difference in two latent variables including intercept and slop was a shade difference. The result from the growth mixture model analysis, additionally indicates that the number of books checked out by children under age 10 is rapidly increased. The application of the latent growth model in library fields is expected to widely spread out for the longitudinal data analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.975-978
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• 2005

The RFID(Radio Frequency Identification) technology is a non-contact identification system which can wireless reading of information, by attaching tags on objects; various applications of the technology are feasible throughout a diversity of industries, and researches are currently under way. Recently, in connection with the wireless communication industry, application service models conveying information to the users through mobile devices with RFID readers were suggested. Such application service based on mobile RFID technology requires schema that models the form of data. Therefore, this study analyses the mobile RFID application service model that will be serviced in the mobile environment, functions and elements of the protocol, and the interface, designing a language to process the data and express contents in the said service models.

• Journal of the Korean Society of Earth Science Education
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• v.1 no.1
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• pp.85-98
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• 2008

Though the investigation of the suggested references proverbs related weather were collected and considered the probability of the usage on science instruction. The results are as follows. 130 proverbs related to weather were collected through the investigation of the suggested references. Most of weather proverbs are based on the states of sky, clouds, wind, precipitation, actions of animal, states of plants and the condition of people in daily life. they were classified according to weather types, natural phenomena and seasons. According to the results of analysing the students' recognition and interests on weather proverbs, most of students heard weather proverbs in their elementary school years firstly through their parents, books, and teachers. However they have only heard a few. Also many students also tend to think weather proverbs have a scientific base because weather proverbs have been told by many people through the ancient time and correspond to their personal experiences. Students responded that weather proverbs are useful for science learning on weather and can teach heritage and wisdom. After reading the suggested weather proverbs, their interests on weather proverbs were increased more than before reading. This is one of reasons why weather proverbs can be introduced to science classes. Weather proverbs were considered related to science curriculum. The third grade has a Unit "Fine days and Cloudy days", the fifth grade, "Unit of Weather Change", the Sixth grade, "Unit of Weather Forecast" , the Ninth grade, "Unit of Water cycle and Weather Change" and the tenth grade has "Unit of Earth". So the author consider that weather proverb materials can be used so effectively to bring about interest and motive in science learning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.2
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• pp.193-200
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• 2019

The 2015 revised curriculum aims to cultivate a 'creative fusion talent' capable of creating new knowledge and fusing various knowledge to create new value. Therefore, it is strengthening reading education to raise humanistic imagination and software education to promote scientific creativity. In addition, we have created [Safe Living] textbooks based on experiential activities as a way to strengthen safety education that is becoming a social issue. And we use it to conduct safety education at creative activity time. Novel Engineering believes that it can develop thinking skills in the process of reading books and finding and solving problems in life in them. Therefore, in this study, we will develop software education programs for safety education that are applied with Novel Engineering and apply them to actual classes to verify the educational effectiveness of students' creative problem solving skills and safety education.

• Journal of the Korean Institute of Gas
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• v.27 no.2
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• pp.57-64
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• 2023

As the meter reading method of gas meters develops, smart gas meters capable of remote meter reading (leak checking meters and multi-function safety meters) are being used. These meters have a function to judge leakage by utilizing the flow rate and pressure data collected as an additional function. Leakage judgment function using flow rate data has valid cases in the actual field, but the pressure data-based leakage judgment standard is based on not only the pressure value change due to leakage but also various factors (pressure regulator pressure, connection with adjacent meters, usage of adjacent houses, location of meters, etc.). There is a problem with pressure magnitude changes (levels). In this paper, as a technique that can judge leaks by using pressure data collected from smart gas meters, it was developed through preprocessing of pressure data, criteria for pressure value ranges related to leaks, leak judgment techniques, and application case verification.

• Journal of Information Processing Systems
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• v.2 no.2
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• pp.76-81
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• 2006

A PDA is used mainly for downloading data from a stationary server such as a desktop PC in an infrastructure network based on wireless LAN. Thus, the overall performance depends heavily on the performance of such downloading with PDA. Unfortunately, for a PDA the time taken to receive data from a PC is longer than the time taken to send it by 53%. Thus, we measured and analyzed all possible factors that could cause the receiving time of a PDA to be delayed with a test bed system. There are crucial factors: the TCP window size, file access time of a PDA, and the inter-packet delay that affects the receiving time of a PDA. The window size of a PDA during the downstream is reduced dramatically to 686 bytes from 32,581 bytes. In addition, because flash memory is embedded into a PDA, writing data into the flash memory takes twice as long as reading the data from it. To alleviate these, we propose three distinct remedies: First, in order to keep the window size at a sender constant, both the size of a socket send buffer for a desktop PC and the size of a socket receive buffer for a PDA should be increased. Second, to shorten its internal file access time, the size of an application buffer implemented in an application should be doubled. Finally, the inter-packet delay of a PDA and a desktop PC at the application layer should be adjusted asymmetrically to lower the traffic bottleneck between these heterogeneous terminals.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.244-251
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• 2007

Intention reading technique is essential to provide personalized services toward more convenient and human-friendly services in complex ubiquitous environment such as a smart home. If a system has knowledge about an user's intention of his/her behavioral pattern, the system can provide mote qualified and satisfactory services automatically in advance to the user's explicit command. In this sense, learning capability is considered as a key function for the intention reading technique in view of knowledge discovery. In this paper, ore introduce a personalized media control method for a possible application iii a smart home. Note that data pattern such as human behavior contains lots of inconsistent data due to limitation of feature extraction and insufficiently available features, where separable data groups are intermingled with inseparable data groups. To deal with such a data pattern, we introduce an effective engineering approach with the combination of fuzzy logic and probabilistic reasoning. The proposed learning system, which is based on IFCS (Iterative Fuzzy Clustering with Supervision) algorithm, extract probabilistic fuzzy rules effectively from the given numerical training data pattern. Furthermore, an extended architectural design methodology of the learning system incorporating with the IFCS algorithm are introduced. Finally, experimental results of the media contents recommendation system are given to show the effectiveness of the proposed system.