• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.71-76
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• 2022

The purpose of this research is to investigate the types of semantic errors made by MT in translating EFL college students' original drafts written in Korean into English. Specifically, this study attempts to find out 1) what types of semantic errors are most frequently committed by MT? and 2) how students feel about the quality of the MT-produced output? The findings from this study indicated that MT produced the errors related to accuracy (47%) the most, followed by the errors related to fluency and ambiguity (14.6% respectively). Students were well aware of the errors with accuracy and fluency but had limited ability to check the errors with ambiguity. Based on the findings, this study suggests pedagogical implications which can be implemented in L2 writing classrooms.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.701-706
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• 2019

The advent of the AI(: Artificial Intelligence) has applied to many industrial and general applications have havingact on our lives these days. Various types of machine learning methods are supported in this field. The supervised learning method of the machine learning has features and targets as an input in the learning process. There are many supervised learning methods as well and their performance varies depends on the characteristics and states of the big data type as an input data. Therefore, in this paper, in order to compare the performance of the various supervised learning method with a specific big data set, the supervised learning methods supported in the Tensorflow and the Sckit-Learn are simulated and analyzed in the Jupyter Notebook environment with python.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.48-51
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• 2013

This paper described an emotional communication service based on context awareness. Especially it provides with a natural as-like a person communication in the interactive object service between machine and person. The machine should behave as naturally like human. For these things the service object has to provide the function which analyzing and storing users' behavior and handling it. This paper contains the way how to analyze and handle users' pattern by using context awareness. Furthermore, we have studied the method which makes users feel like talking with machine by re-writing messages through 'purpose-extraction algorithm' and 'message re-writing algorithm', which allow service become M2P on networks environment. Moreover we developed 'message recommending algorithm' which recommend several messages by analyzing users' past messages. This emotional communication technology can provide more efficient and user-friendly service by providing personified service on network. Furthermore we can expect this messenger system provided from emotional communication service based on context awareness can be applied a plenty of application services.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.273-279
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• 2018

This study aimed at providing a comprehensive account of the sources and causes of errors in business emails that Korean college students wrote using a translation machine. Data were collected from 21 emails written by the students who took a business English course. Findings indicated that the students tended to make frequent errors in verb use and verb tense as well as a definite article, countable/noncountable nouns, time adverbs and prepositions. Therefore, the study suggested that the students' common errors imply that they experience some difficulties learning these linguistic features. Given that learners' errors can give us valuable insights into teaching and learning how to write in English, pedagogical suggestions are put forward based on the study results.

• Knowledge Management Research
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• v.21 no.3
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• pp.177-195
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• 2020

The social consciousness on fake reviews has triggered researchers to suggest ways to cope with them by analyzing contents of fake reviews or finding ways to discover them by means of structural characteristics of them. This research tried to collect data from blog posts in Naver and detect habitual patterns users use unconsciously by variables extracted from blogs and blog posts by a machine learning model and wanted to use the technique in predicting fake reviews. Data analysis showed that there was a very high relationship between the number of all the posts registered in the blog of the writer of the related writing and the date when it was registered. And, it was found that, as model to detect advertising reviews, Random Forest is the most suitable. If a review is predicted to be an advertising one by the model suggested in this research, it is very likely that it is fake review, and that it violates the guidelines on investigation into markings and advertising regarding recommendation and guarantee in the Law of Marking and Advertising. The fact that, instead of using analysis of morphemes in contents of writings, this research adopts behavior analysis of the writer, and, based on such an approach, collects characteristic data of blogs and blog posts not by manual works, but by automated system, and discerns whether a certain writing is advertising or not is expected to have positive effects on improving efficiency and effectiveness in detecting fake reviews.

• Journal of Gifted/Talented Education
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• v.26 no.2
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• pp.319-346
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• 2016

In this study, by examining the characteristics of boys and girls which would appear in the performance process of Goldberg machine activities, it would be attempted to provide the implications for the development and teaching methods of gifted and talented programs. The object of study was organized into separate 2 groups of boys and girls by each, composed of a total of 16 people among 5th graders of the gifted class in elementary school, located in Gyeonggi province. The final assignment was to make the Goldberg machine in order to have the beads get to the target spot latest, in which the analysis was implemented qualitatively by participating in and observing the performance process of students. After dividing the Goldberg machine activities into the steps of planning, production, outcome, assessment and reflection, their analysis results are as follows: First, in the planning stage, the girls explained minutely the process of Goldberg machine in writing, whereas the boys represented it visually simply. Second, in the production stage, the boys showed the task commitment by trying to realize the machine as designed initially, but the girls showed their appearance to represent it simply and easily. Third, in the sophistication and efficiency of the machine production, the boys were superior to the girls, and in the creativity and diversity of the use of materials, the girls were more excellent. Fourth, in the assessment and reflection, the boys evaluated it individually, and the girls showed their appearance to evaluate it by reflecting others'thinking. Hence, when developing and teaching the gifted and talented programs, it would be required that the teaching and learning contents be recomposed by considering the gender, or that the various class strategies be sought. Further, the broader and more systematic studies, on the performance process of gifted students based on the gender, should be carried out.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1179-1180
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• 2005

3D micro scaled shapes are fabricated with the method of direct writing and superposing grooving in ambient air using femto-second laser pulses and copper, aiming at establishing an industrially useful femto-second laser processing machine to be able to fabricate three dimensional micro-scale structures, especially micro scaled molds, and processing techniques. For the several advantages, there is no thermally influenced region around the area irradiated by the laser beam and surfaces irradiated laser beam are smooth and substances ablated to form are no attached on the surface of works and so on, the femto-second laser technology is anticipated for advanced micro/nano precision technology.

• Journal of Multimedia Information System
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• v.4 no.1
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• pp.39-42
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• 2017

Communication between human and machine is having been researched from last few decades and still it's a challenging task because human behavior is unpredictable. When it comes on handwritten digits almost each human has their own writing style. Handwritten digit recognition plays an important role, especially in the courtesy amounts on bank checks, postal code on mail address etc. In our study, we proposed an efficient feature extraction system for recognizing single digit number drawn by mouse or by a finger on a screen. Our proposed method combines basic image processing and reading the strokes of a line drawn. It is very simple and easy to implement in various platform as compare to the system which required high system configuration. This system has been designed, implemented, and tested successfully.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.16 no.5
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• pp.48-54
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• 2007

Surface of rapid prototype has inevitably stair-stepping error, which is attributed to the continuous building process of 2 dimensional area. In this study, rounded edge model was established to estimate the roughness of inclined surface which has stair-stepping error. To investigate the roughness of rapid prototypes, specimens that have various surface inclinations were manufactured by various types of RP machines. As the surface inclination increased, the roughness of the specimens manufactured by SL, FDM, or LOM process decreased, which coincides with the simulation results. However, surface roughness of 3DP specimen was almost independent of the inclination. Furthermore, as the angle of surface increased, roughness of poly-jet specimen also increased, which is attributed to the frictional behavior between writing head and scanned area.

• Journal of the Optical Society of Korea
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• v.9 no.1
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• pp.1-5
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• 2005

Using tightly focused femtosecond laser pulses, we produce an optical waveguide and optical devices in transparent materials. This technique has the potential to generate not only channel waveguides, but also three-dimensional optical devices. In this paper, an optical splitter and U-grooves, which are used for fiber alignment, are simultaneously fabricated in a fused silica glass using near-IR femtosecond laser pulses. The fiber aligned optical splitter has a low insertion loss, less than 4㏈, including an intrinsic splitting loss of 3㏈ and excess loss due to the passive alignment of a single-mode fiber. Finally, we demonstrate the utility of the femtosecond laser writing technique by fabricating gratings at the surface and inside the silica glass.