• Journal of KIISE:Computing Practices and Letters
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• v.16 no.10
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• pp.1000-1004
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• 2010

A large number of current language processing systems use a part-of-speech tagger for preprocessing. Most language processing systems required a tagger with the highest possible accuracy. Specially, the use of domain-specific advantages has become a hot issue in machine translation community to improve the translation quality. This paper addresses a method for customizing an HMM or LHMM based English tagger from general domain to specific domain. The proposed method is to semi-automatically customize the output and transition probabilities of HMM or LHMM using domain-specific raw corpus. Through the experiments customizing to Patent domain, our LHMM tagger adapted by the proposed method shows the word tagging accuracy of 98.87% and the sentence tagging accuracy of 78.5%. Also, compared with the general tagger, our tagger improved the word tagging accuracy of 2.24% (ERR: 66.4%) and the sentence tagging accuracy of 41.0% (ERR: 65.6%).

• Smart Structures and Systems
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• v.24 no.5
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.

• Korean Journal of Agricultural Science
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• v.46 no.2
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• pp.381-393
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• 2019

A smart farm is a system that combines information and communication technology (ICT), internet of things (IoT), and agricultural technology that enable a farm to operate with minimal labor and to automatically control of a greenhouse environment. Machine learning based on recently data-driven techniques has emerged with big data technologies and high-performance computing to create opportunities to quantify data intensive processes in agricultural operational environments. This paper presents research on the application of machine learning technology to diagnose the growth status of crops and predicting the harvest time of strawberries in a greenhouse according to image processing techniques. To classify the growth stages of the strawberries, we used object inference and detection with machine learning model based on deep learning neural networks and TensorFlow. The classification accuracy was compared based on the training data volume and training epoch. As a result, it was able to classify with an accuracy of over 90% with 200 training images and 8,000 training steps. The detection and classification of the strawberry maturities could be identified with an accuracy of over 90% at the mature and over mature stages of the strawberries. Concurrently, the experimental results are promising, and they show that this approach can be applied to develop a machine learning model for predicting the strawberry harvesting time and can be used to provide key decision support information to both farmers and policy makers about optimal harvest times and harvest planning.

• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.141-148
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• 2019

We proposed a curriculum that can learn the principle of blockchain by using the gamification which can bring up the interest and concentration of the students by connecting the contents of the class with the game. The proposed method is to educate the blockchain in a game format and to solve the problem that can be easily accessed in everyday life by applying the blockchain. By strengthening the thinking ability of computing, By growing information processing capacity, communication capacity, and community capacity, students can naturally enhance their education capacity. It is expected that the blockchain curriculum using the proposed gamification can be used to improve the information curriculum.

• Journal of Korean Home Economics Education Association
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• v.31 no.4
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• pp.149-161
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• 2019

At present, we are at the point of change of the 4th industrial revolution era due to the development of artificial intelligence(AI) and rapid technological innovation that no one can predict until now. This study started from the question of 'What role should home economics education play in the era of the Fourth Industrial Revolution?'. The Fourth Industrial Revolution is characterized by AI, cloud computing, Internet of Things(IoT), big data, and Online to Offline(O2O). It will drastically change the social system, science and technology and the structure of the profession. Since the dehumanization of robots and artificial intelligence may occur, the 4th Industrial Revolution Education should be sought to foster future human resources with humanity and citizenship for the future community. In addition, the implication of education in the fourth industrial revolution, which will bring about a change to a super-intelligent and hyper-connected society, is that the role of education should be emphasized so that humans internalize their values as human beings. Character education should be established as a generalized and internalized consciousness with a concept established in the integration of the curriculum, and concrete practical strategies should be prepared. In conclusion, home economics education in the 4th industrial revolution era should play a leading role in the central role of character education, and intrinsic improvement of various human lives. The fourth industrial revolution will change not only what we do, or human mental and physical activities, but also who we are, or human identity. In the information society and digital society, it is important how quickly and accurately it is possible to acquire scattered knowledge. In the information society, it is required to learn how to use knowledge for human beings in rapid change. As such, the fourth industrial revolution seeks to lead the family, organization, and community positively by influencing the systems that shape our lives. Home economics education should take the lead in this role.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.59-69
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• 2015

Many users visit websites every day to perform information retrieval, shopping, and community activities. On the other hand, there is intense competition among sites which attempt to profit from the Internet users. Thus, the owners or marketing officers of each site try to design a variety of marketing strategies including cooperation with other sites. Through such cooperation, a site can share customers' information, mileage points, and hyperlinks with other sites. To create effective cooperation, it is crucial to choose an appropriate partner site that may have many potential customers. Unfortunately, it is exceedingly difficult to identify such an appropriate partner among the vast number of sites. In this paper, therefore, we devise a new methodology for recommending appropriate partner sites to each site. For this purpose, we perform site clustering from the perspective of visitors' similarities, and then identify a group of sites that has a number of common customers. We then analyze the potential for the practical use of the proposed methodology through its application to approximately 140 million actual site browsing histories.

• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.127-133
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• 2016

In the present knowledge and information society, every citizen can enjoy benefits of various advanced technologies such as information and communication technology(ICT) and smart technology. Nowadays everybody has to have some level of information literacy and application ability in order to enjoy benefits from various advanced technologies. In additions, knowledge and practice will about information and communication ethics are also required for all. Currently we need some kind of standards to evaluate and model everybody's information literacy and application capability. In this sense, information culture index has been developed to check information literacy and application capability of every citizen for various aspects of daily life. Information culture index consists of three standards, that is, application, awareness, and norm, respectively. Application standard indicates how information contents and skills are generalized for all. In other words, it is concerned with how every citizen can understand information literacy and use information skills in his or her daily life. Awareness standard is concerned with how well everyone can respect and trust others in the current information culture community. Norm standard is concerned with how everyone can use information communication services according to his or her desirable sense of information and communication ethics. The purpose of this paper is to analyze correlation between academic background and three standards of information culture index, that is, application, awareness, and norm. For this purpose, we use 2-year national survey works for information culture. After thorough statistical analysis, we can conclude that, awareness and norm standards do not show a meaningful correlation with academic background while application standard shows a meaningful correlation with academic background, It means that, the higher academic background one has, the higher application standard one can achieve. We expect that our correlation analysis results can be helpful to spread of information education and information culture in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.9
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• pp.2097-2104
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• 2013

Scientific and technological research data is increasing exponentially and, Kisti(Korea Institute of Science and Technology Information) built and supported GSDC(Global Science experimental Data hub Center) depending on the needs processing large data computing and storage devices. Mobile web standards-based the MUPS was built for global community and services of gsdc to spreading mobile devices rapidly. And for analyze Operational status and system resources of GSDC at n this paper researched and implemented system resource monitor method of gsdc to mobile web environment, in this paper researched and implemented system resource monitor method of gsdc to mobile web environment. Research support system of GSDC operated by scientific linux. Sysstat resource monitoring tools create a daily report through sar(system analysis report), after sadc(system activity data collector) collected system resource utilization information. In this paper, sar reports designed and implemented in mobile web to can visualize in a mobile environment. We do not depend specific OS by implementation of the mobile web. So we are available in variety mobile OS. And through provided visual graph, this system can monitor easily and more conveniently then the existing system.

• The KIPS Transactions:PartA
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• v.16A no.6
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• pp.481-488
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• 2009

GIS is used to isolate large power electrical equipment using SF6 gas. While GIS has simple structure, it has few break down, relatively high reliability. But it is hard to check up faults for reason of pressure. Faults of GIS should have a ripple effect on community and be hard to recovery. Consequently, GIS imports a preventive diagnostic system to find internal faults in advance. It is most important that reliability on the GIS preventive diagnostic system, because it estimates abnormality of system by analysis result of collected data. But, exist system which used central data management is low efficiency, and hard to guarantee timeliness and accuracy of data. To guarantee timeliness and accuracy, the GIS preventive diagnostic system needs accordingly to use a real-time middleware. So, in this paper, to improve reliability of the GIS preventive diagnostic system, we use a middleware based on TMO for guaranteeing timeliness of real-time distributed computing. And we propose an improved GIS preventive diagnostic system applying data acquisition, monitoring and control methods based on the TMO model. The presented system uses the Communication Control Unit(CCU) for distributed data handling which is supported by TMO. CCU can improve performance of the GIS preventive diagnostic system by guaranteeing timeliness of data handling process and increasing reliability of data through the TMO middleware. And, it has designed to take full charge of overload on a data acquisition task had been processed in an exist server. So, it could reduce overload of the server and apply distribution environment from now. Therefore, the proposed system can improve performance and reliability of the GIS preventive diagnostic system and contribute to stable operation of GIS.

• Journal of Korean Academy of Nursing
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• v.4 no.1
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• pp.121-134
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• 1974

This study is an attempt to evaluate the use of an oral contraceptive by: 1. Deforming the acceptance rate of the oral contraceptive according to socio-demographic characteristics 5. Estimating the duration of the use of the contraceptive f. Discovering reasons why the contraceptive was discontinued 4. Computing the cumulative continuation and discontinuation rate according to socio-demographic characteristics, history of pregnancies, and attitude of husband at the time of selection of the contraceptive. One hundred sixty-eight women of child bearing age (14-49 years), residing in Yonhee Dong, Seoul, Korea and registered as oral contraceptive accepters at Yonsei Community Health Center, were interviewed during a three week period in 1973. The questionnaire was designed to determine the socio-demographic characteristics of the oral contraceptive accepters, the current status of their family planning practice, medical reactions if any, discontinuation practice, and the duration of the use of the contraceptive. The major findings of the study were as follows; 1. The acceptance rate was highest for women between 30 and 34 years of age, the mean age being 34.4 years. 2. Fifty six point five percent of all respondents said that thirty years of age was the ideal age to stop having children. 3. The average number of living children was 3.5 and fifty four point eight percent of respondents felt 2 boys and I girl was the ideal number of children. 4. The average number of pregnancies was 5.2 and the average number of induced abortion was I. 4. 5. Fifty eight point eight percent of the respondents had experience in the use of contraceptive methods in the past. 6. Forty one point seven percent of the respondents replied that they chose the oral contraceptive because, "it was not complicated to use." 7. Sixty four point eight percent of the women said their husband approved of their taking the pill. 8. The cumulative discontinuation rate was sixty point five percent of the total respondents for one year in first segment. 9. Sixty six point nine percent of the respondents had experienced side-effect while using the pill. The side effects for 68.9 percent of these women were castro-intestinal upsets. Twenty point eight percent of the women who had side effects consulted with medical personnel about them. Women who had more education had more side effects. 10. Seventy three point two percent of the women who discontinued the pill did so because of medical reasons. Women who were younger discontinued the pill for personal reasons more-often than older women. Among personal reasons listed for discontinuing the pill was the attitude of the husband. 11. The average duration of continuance of the contraceptive was 5.3 cycles under 29 years of age; 7.4 cycles between 30 and 34 years of age; and 8.4 cycles over 40 years of age. 12. The discontinuation rate was seem to increase sharply in the early cycle and increase more slowly in later cycle. Conclusions and suggestions: Since the attitude of the husband was shown to be important, the current family planning program should be expended to include approach to husband. For women who must use the oral contraceptive, education and support must be enhanced so that the discontinuation rate due to side effects will be decreased.