• Journal of the Korea Furniture Society
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• v.12 no.1
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• pp.27-37
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• 2001

Automation of wood processing is strongly required to improve the productivity and quality of wood products in wood industry which is one of the most labor-intensive industries. Classification of surface defects on wood boards such as knots is one of the important steps towards a completely automated wood processing system. In this study the possibility of detection of knots by image processing technique was investigated. Algorithm for the automatic determination of threshold value was developed to enhance the flexibility of image processing system. Two different approaches, grid method and tile method, were developed to enhance the speed in extracting features from images. Grid method showed slightly higher processing speed and tile method proved much more stable in determining threshold values. Tile size of $5{\times}5$ pixels or $6{\times}6$ pixels was found to be proper to get stable results with resonable processing time.

• Transactions of the Korean Society of Mechanical Engineers
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• v.14 no.3
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• pp.747-754
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• 1990

Since Ion sputter machining can perform removing processing in atom or molecule units in vacuum state, it has the merit that high precision processing is possible. In this study, therefore, the effect of incidence ion beam is certified to processing amount and surface roughness when longtimed processing is applied. As a result, processing amount is made almost constant with time and the best processing condition is achieved when the incidencial angle of ion is 55.deg.. In addition, processing time for the good surface roughness is different respectively to the quality of material and longtimed processing has some defect for achieving good surface roughness.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.54 no.3
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• pp.97-102
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• 2005

This research was a fundamental study for the low temperature sintering of PZTN by glass phase transient processing. To lower the sintering temperature, the glass phase Processing was used. Also to improve the electrical properties, the transient processing was utilized. After characterization, the various analytic techniques, such as Archimedes method for the measuring densification, x-ray diffraction patterns for the quantitative analysis of crystalline phases were utilized. Also the dielectric constant, dissipation factor, and piezoelectric coefficients were measured to evaluate the PZTN sintered at the $950^{\circ}C$ and $1050^{\circ}C$. This was confirmed that the sintering temperature of PZTN was reduced by $950^{\circ}C$ and the electrical properties were improved by the transition processing. Therefore, the glass phase transient processing can be applicable to low the sintering temperature with the dielectric and piezoelectric properties.

• Journal of information and communication convergence engineering
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• v.17 no.4
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• pp.239-245
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• 2019

Recently, effort to obtain various information from the vast amount of social network services (SNS) big data generated in daily life has expanded. SNS big data comprise sentences classified as unstructured data, which complicates data processing. As the amount of processing increases, a rapid processing technique is required to extract valuable information from SNS big data. We herein propose a system that can extract human sentiment information from vast amounts of SNS unstructured big data using the naïve Bayes algorithm and natural language processing (NLP). Furthermore, we analyze the effectiveness of the proposed method through various experiments. Based on sentiment accuracy analysis, experimental results showed that the machine learning method using the naïve Bayes algorithm afforded a 63.5% accuracy, which was lower than that yielded by the NLP method. However, based on data processing speed analysis, the machine learning method by the naïve Bayes algorithm demonstrated a processing performance that was approximately 5.4 times higher than that by the NLP method.

• Educational Technology International
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• v.10 no.1
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• pp.25-40
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• 2009

The purpose of this study was to explore procedures and modalities on collaborative visualization processing of text information for developing e-Learning contents. In order to investigate, two research questions were explored: 1) what are procedures on collaborative visualization processing of text information, 2) what kinds of patterns and modalities can be found in each procedure of collaborative visualization of text information. This research method was employed a qualitative research approaches by means of grounded theory. As a result of this research, collaborative visualization processing of text information were emerged six steps: identifying text, analyzing text, exploring visual clues, creating visuals, discussing visuals, elaborating visuals, and creating visuals. Collaborative visualization processing of text information came out the characteristic of systemic and systematic system like spiral sequencing. Also, another result of this study, modalities in collaborative visualization processing of text information was divided two dimensions: individual processing by internal representation, social processing by external representation. This case study suggested that collaborative visualization strategy has full possibility of providing ideal methods for sharing cognitive system or thinking system as using human visual intelligence.

• The Journal of Korean Academy of Sensory Integration
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• v.20 no.2
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• pp.36-45
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• 2022

Objective : The objective of this study was to determine a discriminat validity of the Sensory Processing Scale-Children (SPS-C) for children with and without Sensory Processing Disorder (SPD). Method : The SPS-C was completed by parents of 151 Korean children including 68 typically developing children (control group), 83 children with SPD (known group) in the age range 3-5 years, in South Korea. ANCOVA with sex as covariable was used to identified the difference between the children with typically development and SPD. Results : Sensory processing differences in sensory domains and sensory factors were detected and the gender differences were not effective between typically developing children and children with SPD. Significant differences were found in all sensory domain score and total score except proprioceptive processing in sensory domain. In sensory factors, significant differences were found in overrsensitivity, underresponsivity, and discrimination, but sensory seeking was not significant. SPS-C was a valid assessment tool to identify or screen of SPD in Korea. Conclusion : The psychometric characteristics for the standardization study of SPS-C were presented, and the discriminant validity to screen the children with sensory processing problems was presented as a verified evaluation tool. SPS-C will be helpful in screening, analyzing and interpreting characteristics of sensory processing, and establishing an intervention plan.

• Korean Journal of Childcare and Education
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• v.9 no.2
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• pp.173-189
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• 2013

The purpose of this study was to examine the relationship between children's information processing ability and basic learning abilities. To collect the data, two tests were given to 99 children. The Korean K-ABC(Moon & Byun, 1997) and Pictorial Basic Learning Abilities for Children(Kim, 2011) were used to examine the relationship between children's information processing and basic learning abilities. The collected data were analyzed by correlation analysis and multiple regression analysis. According to the results of this study, there was a significant positive correlation between information processing(sequential processing, simultaneous processing) and basic learning abilities including reading, writing, and basic mathematics. And information processing significantly affected basic learning abilities. Namely, simultaneous processing explained 22% of basic learning abilities and by adding sequential processing, the explanation was increased to 25%. In conclusion, the results of this study suggest various implications about children's basic learning abilities. These implications will help teachers and parents to understand their children's learning.

• Journal of IKEEE
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• v.21 no.1
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• pp.100-103
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• 2017

Motion estimation occupies the largest computation in the video compression. Multiple processing elements are often exploited in parallel to meet processing speed. More processing elements increase processing speed, but they also increase hardware area. therefore, it is important to optimize the number of processing element. HEVC (high efficiency video coding) usually exploits multi-stage motion estimation algorithms for low computation and high performance. Since the number and position of search points are different in each stage, the utilization of the processing elements is not always 100% and the utilization is quite different with the number of processing elements. In this paper, the optimizing method is proposed on the number of processing elements. It finds out the optimal number of the processing elements for the given multi-stage motion estimation algorithm by calculating utilization and execution cycle of the processing elements.

• Food Science and Preservation
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• v.6 no.4
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• pp.521-529
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• 1999

The high influx of imported fruits into Korea is threatening to price and quality competition of domestic fruits. This investigation was conducted to raise price and quality competition of domestic fruits and to develop new products. The scale of production and processing, amount of processing and new processing technology were discussed. The area of cultivation land as well as the rate of processing is decreasing annually, an item of processing is limited to several kinds. Accordingly in this study, the status of production and manufacturing of some fruits and the new processing technologies such as high voltage pulsed electric fields, high hydrostatic pressure, ohmic heating, membrane separation and microwave treatment have investigated to fruit processing. Consequently, the minimal processing technology has to take advantage of various agricultural products in the food industry.

• English Language & Literature Teaching
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• v.12 no.3
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• pp.267-286
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• 2006

The purpose of the study was to investigate what kinds of learning strategies EFL learners use to learn English grammar and what is benefit from structured grammar input processing. Students of the study consisted of 48 college students who took Practical English Grammar at a university in Kyung-Gi area and were divided into two groups based on grammar scores. The students were asked to take two grammar tasks and grammar tests and complete a survey including questions on grammar strategy and input processing. The results of the study are as follows. First, learners' grammar level has an effect on use of grammar attack strategy including asking teachers, using grammar books and given contexts whereas there was no significant difference between groups in the planning strategies, Among memory strategies, using grammar exercise and linking with already known structure demonstrated a significant difference between groups. Second, with regard to input processing, high level students got higher score on how much they understood the structured grammar input compared with low level students. Third, explicit implicit instruction added to input processing seems more comprehensible and more available than structured input only, Finally, it showed that there is positive relationship between perception and score of input processing tasks and grammar tests. Especially, learners' perception of input processing correlated more with final tests and tasks. Therefore, it suggests that the more input processing task need to develop and utilize in order to facilitate learners' intake.