• Journal of the Korea Society of Computer and Information
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• v.23 no.1
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• pp.9-15
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• 2018

Policy polls, which investigate the degree of support that the policy has for policy implementation, play an important role in making decisions. As the number of Internet users increases, the public is actively commenting on their policy news stories. Current policy polls tend to rely heavily on phone and offline surveys. Collecting and analyzing policy articles is useful in policy surveys. In this study, we propose a method of analyzing comments using deep learning technology showing outstanding performance in various fields. In particular, we designed various models based on the recurrent neural network (RNN) which is suitable for sequential data and compared the performance with the support vector machine (SVM), which is a traditional machine learning model. For all test sets, the SVM model show an accuracy of 0.73 and the RNN model have an accuracy of 0.83.

• Current Optics and Photonics
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• v.4 no.4
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• pp.277-285
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• 2020

Computer-generated holograms (CGH) are the core devices to solve the problem of freeform surface measurement. In view of the overlay error introduced in the manufacturing process of CGH, this paper proposes an evaluation model for analyzing the overlay error of CGH. The detection method of extracting CGH profile information by an ultra-depth of field micro-measurement system is presented. Furthermore, based on the detection method and technical scheme, the effect of overlay error on the wavefront accuracy of CGH can be evaluated.

• YAKHAK HOEJI
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• v.28 no.1
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• pp.21-23
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• 1984

High performance amino acid analyzing method has been developed for the routine analysis of taurine in preparations. Ion-exchange resin #2619 Hitachi Custom Ion-Exchange Resin, $2.6(I.D.){\times}150$(length)mm was used as column, buffer I, pH 3.3 as mobile phase. The retention time of taurine was 7 minutes. Calibration curve by peak height for standard taurine was linear from 2.5ppm to 25ppm. The reproducibility showed relative standard deviation $\pm$1.9% when analyzed 10 times for standard solution. The samples could be continuously analyzed without regenerating the resin between samples. Five samples were applied to column every 12 min. and then the resin was regenerated for 30 min. during one analyzing cycle time, 90 min. The automatic amino acid analyzer has made it possible to assay multiple samples in a relatively short period of time using the analytical magnetic program card. The high sensitivity and specificity of the analytical column of the automatic amino acid analyzer permits the routine analysis of taurine in preparations.

• Child Health Nursing Research
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• v.25 no.3
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• pp.344-354
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• 2019

Purpose: The purpose of this study was to examine types of parenting among fathers. The characteristics of parenting each type in early childhood were identified by systematically analyzing and classifying father's perceptions of parenting using the Q-methodology, which places importance on the perspective of the performer. Methods: The Q-method, which is effective for measuring individual subjectivity was used. The subjects in this study were 50 fathers with young children (2~36 months). Results: Four parenting types were identified analyzing the subjective perceptions of fathers with young children about parenting. One type was centered on character development. Another was centered on social development. A third was centered on physical health and development. The fourth was centered on building values. Conclusion: Parenting education programs should be developed based on type-specific characteristics and further research should investigate the effects of father's parenting type.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.1
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• pp.20-25
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• 2019

To prepare for the ever-increasing demand for air transport, airport operators should be well aware of the timing of the saturation of the facility and increase the capacity of the airport through extension or extension. The capacity of an airport is determined by the smallest value of the facilities that make up the airport, but it is generally customary to determine the capacity of the costly and time-consuming runway as a whole for the airport. For analyzing the capacity of the runway capacity, the study used the most accurate microscopic air traffic simulation, Simmod-PRO, to analyze the saturation time of three runways currently in Incheon International Airport's operation, and calculate the appropriate time for operation of the 4th runway. The study also calculate the relocation of Airport's high-speed exit taxiway for analyzing the increasing of capacity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.96-98
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• 2016

Recently, big data technology develop due to the rapid data generation. Thus big data analysis tools for analyzing big data has been developed. Typical big data tools are the R program, Hive, Tajo and more. But data analysis based on Matlab is still common used. And it is still used in big data analysis. In this paper, it research into big data analysis system based on the Matlab for analyzing vital signals.

• Journal of the Korean Society of Safety
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• v.34 no.2
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• pp.15-21
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• 2019

Recently, the number of facilities and users of zipline which is the most popular among extreme leisure facilities has been increasing year by year. Zipline is a means of transporting durable wire between two timber or stay and moving the trolley connected to the passenger at high speed in the opposite direction. However, due to the nature of the zip line facility, the risk of accidents is always present and safety accidents are frequently occurring. Therefore, this study investigates the current state of safety management and extract the problem in terms of safety management through analyzing the installation state of zipline facilities in the case of accidents and reviewing of similar facility regulations. In order to solve this problem, we will contribute to establishment of comprehensive and systematic countermeasures and establishment of safety improvement system by suggesting measures to improve safety management through analyzing foreign regulations and safety management regulations for zipline and other extreme leisure facilities.

• Nuclear Engineering and Technology
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• v.51 no.2
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• pp.463-478
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• 2019

The most important non-functional requirements for dependability of any Embedded Real-Time Safety Systems are safety, availability and reliability requirements. System architecture plays the primary role in achieving these requirements. Compliance with these non-functional requirements should be ensured early in the development cycle with appropriate considerations during architectural design. In this paper, we present an application of system architecture modeling for quantitative assessment of system dependability. We use probabilistic model checker (PRISM), for dependability analysis of the DTMC model derived from system architecture model. In general, the model checking techniques do not scale well for analyzing large systems, because of prohibitively large state space. It limits the use of model checking techniques in analyzing the systems of practical interest. We propose abstraction based compositional analysis methodology to circumvent this limitation. The effectiveness of the proposed methodology has been demonstrated using the case study involving the dependability analysis of safety system of a large Pressurized Water Reactor (PWR).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1639-1658
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• 2019

Named entity recognition (NER) is an important technique for improving the performance of data mining and big data analytics. In previous studies, NER systems have been employed to identify named-entities using statistical methods based on prior information or linguistic features; however, such methods are limited in that they are unable to recognize unregistered or unlearned objects. In this paper, a method is proposed to extract objects, such as technologies, theories, or person names, by analyzing the collocation relationship between certain words that simultaneously appear around specific words in the abstracts of academic journals. The method is executed as follows. First, the data is preprocessed using data cleaning and sentence detection to separate the text into single sentences. Then, part-of-speech (POS) tagging is applied to the individual sentences. After this, the appearance and collocation information of the other POS tags is analyzed, excluding the entity candidates, such as nouns. Finally, an entity recognition model is created based on analyzing and classifying the information in the sentences.

• Journal of the Earthquake Engineering Society of Korea
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• v.25 no.6
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• pp.275-281
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• 2021

In this study, algorithms for analyzing the torsion of buildings under earthquake excitation are developed. The algorithm and formulations to account for the torsional angle are verified by analyzing the seismic acceleration time history data. The method was applied to the reference buildings to examine their operation and usability. The reference application demonstrated that the noise-canceling scheme successfully overcame various obstacles in the field measurements. The developed method is expected to be used as a tool to support a loss assessment system for determining the direction and priority of disaster response in the event of an earthquake.