• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.1-11
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• 2020

As software and artificial intelligence education became more and more important, in December 2019, the Ministry of Science and ICT announced plans to expand software and AI education to mandatory education in elementary and secondary schools by 2022. In addition to elementary and secondary schools, most universities are actively engaged in software education for computer non-majors, but research on coding education for computer non-majors is insufficient. The purpose of this paper is to find an efficient teaching and learning method for coding education for computer non-majors. Nowadays, college students, called Millennial and Generation Z, prefer visual information and are familiar with computers as digital natives. Based on these characteristics, this study examined the visual literacy and thinking styles of college students and then examined whether the students' visual literacy and thinking styles influenced coding-based problem solving in coding subjects. Based on this, this paper proposes an alternative to do programming education more efficiently for students who are new to coding.

• Journal of the Korean Society of Costume
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• v.58 no.1
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• pp.151-160
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• 2008

`Early adopters,` a term first used by Everett Rogers in 1957, refers to people who are among the first to try a new product and like to evaluate the product for others. Early adopters in the digital age of the 21st century, greatly influence others by exchanging information on products and writing product reviews on Internet boards. Technological products have recently been released in the fashion world to become important fashion items, and early adopters are active buyers of these products. The purpose of this study is to examine the values and characteristics of early adopters as consumers of technological fashion products, and present a standard for designing fashion products in the future. This study was based on documentary research, Internet research and in-depth interviews. Documentary research was carried out to examine the lifestyles, characteristics and consumption habits of early adopters. Internet research was done to understand the tendencies of Korean early adopters, and a total of 18 websites were studied in 7 product categories. The subjects of in-depth interviews were 6 people who were either webmasters or members of early adopter-related websites. IT field early adopters tended to pursue new technologies, and fashion early adopters placed importance on how well a person could express their own style. New, unique, useful and pretty were the key words to describe the tendencies of early adopters, and fashion early adopters preferred the latest contemporary styles. Interviewees placed most importance on price, design and function of products. Since IT related products are continuously being added on to clothes and becoming fashion products themselves, further research on technology-related fashion design would be significant.

• Journal of Arbitration Studies
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• v.19 no.2
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• pp.155-178
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• 2009

The ODR can be categorized into four distinctive types. First type is the asynchronous non-demeanour method. Second type is the asynchronous demeanour method. Third type is the synchronous demeanour method. Fourth type is the synchronous demeanour method. A typical example of the asynchronous and non-demeanour method is e-mail. The example of the synchronous and non-demeanour method is tele conference. The example of the asynchronous demeanour method is video recordings. The example of synchronous and demeanour method is video conference. The primary benefit of e-mail is to avoid the physical violence. But the costs of email is the lack of emotional aspects of disputants. The benefits of tele conference is ease of use, and reduces the negative aspects of face to face communication. but the costs are limitation of the exchange of written information. The benefits of video conference is the approximation of face to face communication by providing oral as well as visual communication. but it is insufficient to represent eye contact. The common limitations of ODR are as follows. First is the lack of human face. Second is the neutrality of arbitrators and mediators. Third is the authenticity of electronic document. Fourth is the digital divide across South and North and generations. Fifth is the cross-cultural communication. The development strategy of ODR is the training and education of arbitrators and mediators in the area of writing skill. Furthermore, it is necessary to supplement the weakness of email via diverse kinds of expressions to show emotions. Finally, it is necessary to train neutrals in the area of cross-cultural communication.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.166-174
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• 2010

As the speed of social change consumers' buying patterns change, with an effective and competitive means of communication is an effort to find ads world. Characters have to maximize its own image, the character font used for the situation fits perfectly expressed in the formative Calligraphy differentiated pay plan as part of Calligraphy is considered. People feel in the hand by writing letters that can not be standardized as a strong symbol and symbolism, and the appeal and beauty, dynamic motion, mystery, and can be expressed. Design disciplines across all areas of Calligraphy extensive coverage, digital coolness of the hard preparation for the soft and warm lyricism analogue availability is required to meet contemporary needs. Media ads that emphasize the use of the Calligraphy emotional representation of the contents of the ads favorable to improve cognitive function, attention, recall of positive affect and, therefore, character-driven emotional expression as an art communications capabilities with one of the media is situated in the heart of the culture.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.10
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• pp.135-143
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• 1998

Several equalizers are applied to the DVD-ROM(Digital Versatile Disc-Read Only Memory) system. Because imperfect writing process may cause nonlinear distortion in the reply signal, neural equalizers which have strong nonlinear mapping capability are applied to the system to compensate the nonlinear distortion. Experimental results to verify that the combination of decision-feedback type equalizers and modulation code is formidable are also given. The experimental results shwo that the SNR gain of the neural equalizers over the conventional equalizers becomes much as the nonlinearity in the channel increases. Furthermore, the decision-feedback type equalizers outperform the equalizers which have no decision-feedback in eliminating ISI(Intersymbol Interference) of random data sequence but there is no performance gain of the decision-feedback type equalizers over the equalizers without decision-feedback when these are applied to compensate the ISI of modulation-encoded data sequence.

• Journal of Korean Society of Forest Science
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• v.94 no.6
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• pp.481-487
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• 2005

In this study, a GIS model to simulate the behavior of surface forest fires was developed on the basis of forest fire growth prediction algorithm. This model consists of three modules for data-handling, simulation and report writing. The data-handling module was designed to interpret such forest fire environment factors as terrain, fuel and weather and provide sets of data required in analyzing fire behavior. The simulation module simulates the fire and determines spread velocity, fire intensity and burnt area over time associated with terrain slope, wind, effective humidity and such fuel condition factors as fuel depth, fuel loading and moisture content for fire extinction. The module is equipped with the functions to infer the fuel condition factors from the information extracted from digital vegetation map sand the fuel moisture from the weather conditions including effective humidity, maximum temperature, precipitation and hourly irradiation. The report writer has the function to provide results of a series of analyses for fire prediction. A performance test of the model with the 2002 Chungyang forest fire showed the predictive accuracy of 61% in spread rate.

• Journal of Sensor Science and Technology
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• v.30 no.6
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• pp.388-394
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• 2021

The conventional microelectromechanical system (MEMS) process has been used to fabricate sensors with high costs and high-volume productions. Emerging 3D printing can utilize various materials and quickly fabricate a product using low-cost equipment rather than traditional manufacturing processes. 3D printing also can produce the sensor using various materials and design its sensing structure with freely optimized shapes. Hence, 3D printing is expected to be a new technology that can produce sensors on-site and respond to on-demand demand by combining it with open platform technology. Therefore, this paper reviews three standard 3D printing technologies, such as Fused Deposition Modeling (FDM), Direct Ink Writing (DIW), and Digital Light Processing (DLP), which can apply to the sensor fabrication process. The review focuses on strain/load sensors having both sensing material features and structural features as well. NCPC (Nano Carbon Piezoresistive Composite) is also introduced as a promising 3D material due to its favorable sensing characteristics.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.23-28
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• 2022

Today, the online market has grown rapidly due to the development of digital platforms and the pandemic situation. Therefore, unlike the existing offline market, the distinctiveness of the online market has prompted users to check online reviews. It has been established that reviews play a significant part in influencing the user's purchase intention through precedents of several studies. However, the current review writing method makes it difficult for other users to understand the writer's emotions by expressing them through elements like tone and words. If the writer also wanted to emphasize something, it was very cumbersome to thicken the parts or change the colors to reflect their emotions. Therefore, in this paper, we propose a technique to check the user's emotions through facial expression recognition using a camera, to automatically set colors for each emotion using research on existing emotions and colors, and give colors based on the user's intention.

• Journal of Information Processing Systems
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• v.18 no.4
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• pp.549-561
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• 2022

In the Khmer writing system, the Khmer script is the official letter of Cambodia, written from left to right without a space separator; it is complicated and requires more analysis studies. Without clear standard guidelines, a space separator in the Khmer language is used inconsistently and informally to separate words in sentences. Therefore, a segmented method should be discussed with the combination of the future Khmer natural language processing (NLP) to define the appropriate rule for Khmer sentences. The critical process in NLP with the capability of extensive data language analysis necessitates applying in this scenario. One of the essential components in Khmer language processing is how to split the word into a series of sentences and count the words used in the sentences. Currently, Microsoft Word cannot count Khmer words correctly. So, this study presents a systematic library to segment Khmer phrases using the bi-directional maximal matching (BiMM) method to address these problematic constraints. In the BiMM algorithm, the paper focuses on the Bidirectional implementation of forward maximal matching (FMM) and backward maximal matching (BMM) to improve word segmentation accuracy. A digital or prefix tree of data structure algorithm, also known as a trie, enhances the segmentation accuracy procedure by finding the children of each word parent node. The accuracy of BiMM is higher than using FMM or BMM independently; moreover, the proposed approach improves dictionary structures and reduces the number of errors. The result of this study can reduce the error by 8.57% compared to FMM and BFF algorithms with 94,807 Khmer words.

• Journal of Distribution Science
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• v.22 no.2
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• pp.41-50
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• 2024

Purpose: This study aims to identify the distribution of skill evolution for accounting personnel during the health crisis and investigate the impact of accounting skills in developing resilience among accounting personnel. Research design, data, and methodology: A total of 131 respondents of accounting personnel participated in a self-administered survey questionnaire. This data is analysed using the partial least square structural equation modeling. Results: The results show that accounting skills, digital skills, and writing skills have a significant impact on developing accounting personnel's motivation, subsequently leading to resilience. Conclusions: This study adds to the literature on the new requirements and future profiles of Malaysian organisation and the accounting profession. This will be a good reference for the practitioners to identify the relevant skills required for accountants after the pandemic. Furthermore, this study includes encouraging motivation and skills to improve resilience in the Malaysian context further to understand the push factors on skills evolution among the accountants. Higher education institutions with accounting courses would consider the potential future skills of accountants to meet market demands on time when updating the institutions' curricula program. Hence, the relevant skills required can be developed and practiced at the education level, especially secondary and tertiary levels.