• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.4
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• pp.712-719
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• 2005

As computing paradigm of the next generation, Ubiquitous Computing has emerged owing to growing of the Internet and computer networking technologies, and RFID (Radio Frequency Identification) which is the core technology to achieve(realize,actualize) the Ubiquitous Computing environment, is being noticed. MIT's Auto-ID Center has proposed PML(Physical Markup Language) which is based on XML (Extensible Markup Language), is a standard language for describing physical objects, in order to interchange of data between each of these RFID application systems. The PML defines only core parts to describe physical objects, but on the other hand the other parts to be needed in practical application have to be defined with extended definitions separately. In this paper, therefore, the object information data model was designed, which defines the type of the object in order. to process electronic tag information in the RFID application service based on PML Core of Auto-ID Center and is applicable to the distribution service parts.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.9
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• pp.281-290
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• 2020

The Vision-and-Language Navigation(VLN) task is a complex intelligence problem that requires both visual and language comprehension skills. In this paper, we propose a new learning model for visual-language navigation agents. The model adopts a hybrid learning that combines imitation learning based on demo data and reinforcement learning based on action reward. Therefore, this model can meet both problems of imitation learning that can be biased to the demo data and reinforcement learning with relatively low data efficiency. In addition, the proposed model uses a novel path-based reward function designed to solve the problem of existing goal-based reward functions. In this paper, we demonstrate the high performance of the proposed model through various experiments using both Matterport3D simulation environment and R2R benchmark dataset.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.43-54
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• 2024

Recently, there has been a lot of research on utilizing Language Models, and Large Language Models have achieved innovative results in various tasks. However, the practical application faces limitations due to the constrained resources and costs required to utilize Large Language Models. Consequently, there has been recent attention towards methods to effectively utilize models within given resources. Curriculum Learning, a methodology that categorizes training data according to difficulty and learns sequentially, has been attracting attention, but it has the limitation that the method of measuring difficulty is complex or not universal. Therefore, in this study, we propose a methodology based on data heterogeneity-based Curriculum Learning that measures the difficulty of data using reliable prior information and facilitates easy utilization across various tasks. To evaluate the performance of the proposed methodology, experiments were conducted using 5,000 specialized documents in the field of information communication technology and 4,917 documents in the field of healthcare. The results confirm that the proposed methodology outperforms traditional fine-tuning in terms of classification accuracy in both LoRA fine-tuning and full fine-tuning.

• Journal of the Korea society of information convergence
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• v.1 no.1
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• pp.25-32
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• 2008

The developments of digital and multimedia have been increasing the demand of humans desiring the acquisition of real and intuitive information and diversified expressions and the use of animation characters are continually increasing in mass media. With the development of graphic techniques, these expressions of animation characters have become enabled of real and smooth representations. Although, in general, even fine movements of the hair of characters can be expressed using diverse data input devices, the studies on the multimedia technologies for disabled persons are quite insufficient. In this paper, Directness it extracts the data which it move sign language and It propose the method which creates a Korea sign language platform.

• Journal of Information Technology Applications and Management
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• v.21 no.3
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• pp.65-77
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• 2014

Ubiquitous learning has aroused great interest and is becoming a new way for foreign language education in today's society. However, how to increase the learners' initiative and their community cohesion is still an issue that deserves more profound research and studies. Emotional intelligence can help to detect the learner's emotional reactions online, and therefore stimulate his interest and the willingness to participate by adjusting teaching skills and creating fun experiences in learning. This is, actually the new concept of smart education. Based on the previous research, this paper concluded a neural mechanism model for analyzing the learners' emotional characteristics in ubiquitous environment, and discussed the intelligent monitoring and automatic recognition of emotions from the learners' speech signals as well as their behavior data by multi-agent system. Finally, a framework of emotional intelligence system was proposed concerning the smart foreign language education in ubiquitous learning.

• English Language & Literature Teaching
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• v.8 no.2
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• pp.151-176
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• 2003

Motivation and learning strategies, some of the important factors affecting language learning, have mostly been studied with reference to their relationship in terms of proficiency. This study investigated motivation and learning strategies and their relationship in order to find the inward predisposition of learners. Data was collected from 200 university students in Taejon and Chungnam province, Korea language learning strategies were measured by the Strategy Inventory for Language Learning(SILL), and motivation by the Attitude / Motivation Test Battery(AMTB), with adaptations for Koreans. The detailed analysis of the data Indicated that Korean university students were more motivated to learn English for a practical goal than a formal one. They had a strong willingness to learn but showed 'the tendency of the new generation' of choosing the easiest and most convenient ways in studying English in terms of motivational intensity and strategy use. Findings imply that there have to be some changes and improvements in the deep-rooted classroom teaching methods. A systematic device is needed to induce students to be autonomous learners, providing them with a variety of activities suitable for their purposes and levels, as in opportunities of contacting native speakers, multi-media language labs, the Internet etc.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.830-833
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• 2024

As Large Language Models (LLM) like OpenAI's ChatGPT[1] continue to grow in popularity, new applications and services are expected to emerge. This paper introduces an experimental study on a smart web-builder application assistance system that combines Computer Vision with GUI object recognition and the ChatGPT (LLM). First of all, the research strategy employed computer vision technology in conjunction with Microsoft's "ChatGPT for Robotics: Design Principles and Model Abilities"[2] design strategy. Additionally, this research explores the capabilities of Large Language Model like ChatGPT in various application design tasks, specifically in assisting with web-builder tasks. The study examines the ability of ChatGPT to synthesize code through both directed prompts and free-form conversation strategies. The researchers also explored ChatGPT's ability to perform various tasks within the builder domain, including functions and closure loop inferences, basic logical and mathematical reasoning. Overall, this research proposes an efficient way to perform various application system tasks by combining natural language commands with computer vision technology and LLM (ChatGPT). This approach allows for user interaction through natural language commands while building applications.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.273-281
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• 2016

In this paper, we consider the discussion of the breakdown phenomenon of korean language that is displayed in the language of the Internet media, as a technical improvement approach to this, and to provide an automatic translation technology of standard language. The collected through real life surveys and experience and damage case regarding language breakdown phenomena in the FGI (Focussed Group Interview), and presents the results of the analysis, based on the analysis result data, we defined the index of language destroyed (degree of Korean destruction). The limit of the national language break or automatic translation technology standard language marked with translation errors that have to be minimized, the efficiency of the automatic translation technology standard language which may be utilized as a measure to get the maximum, and presented through the Internet media texts 2,480 pieces of analysis. Automatic translation technology of the standard language and was also measured the proposed language destroyed in this paper, we implemented in the form of a REST API using the Java language, was confirmed to work on the Web browser.

• Human Ecology Research
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• v.59 no.4
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• pp.543-556
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• 2021

This study aimed to investigate the factors that influence multicultural adolescents' proficiency in their mother's native language, or their immigrant mother's native language. A hierarchical regression analysis was performed on data from the survey answered by 1,028 multicultural adolescents aged 15 years old and whose mothers were from foreign countries for the 6th Multicultural Adolescents Panel Study(MAPS) conducted by the National Youth Policy Institute (NYPI) in 2016. The main results are as follows. First, multicultural adolescents' minority language proficiency was generally low and significant differences were observed according to their gender, parents' educational level, household income, and mother's native country. More specifically, a higher proficiency in minority language was found for girls than boys, adolescents with a higher parental educational level, adolescents with a higher income, and adolescents whose mothers were from Japan or China, compared with those from the Philippines, Thailand, or Vietnam. Second, a significant positive correlation was observed between multicultural adolescents' minority language proficiency and 1) foreign culture acceptance, 2) parent's educational support, and 3) the use of the minority language at home. Third, foreign culture acceptance, parents' educational support, and the use of the minority language at home were predictors of multicultural adolescents' minority language proficiency. The study is meaningful in that it examined multicultural adolescents' minority language proficiency, elucidating their bilingual development, whereas previous studies have only focused on their proficiency in Korean, which is the majority language.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.5
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• pp.1252-1264
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• 2015

This study examined the moderating and mediating effects of teacher-child conflict relationship among child's language ability, emotional regulation and peer victimization. The participants were 152 children(77 boys, 75 girls) and 14 preschool teachers. The teachers completed rating scales to measure the child's emotional regulation, peer victimization and teacher-child relationship. Child's language ability was assessed by researcher using PRES(Preschool Receptive-Expressive Language Scale). The collected data were analyzed using Pearson correlations and hierarchical multiple regressions. Results showed that peer victimization was related to child's language ability, emotional regulation and teacher-child relationship. Hierarchical aggression analysis indicated that the interaction of child's receptive language ability and teacher-child conflict relationship predicated peer victimization. Child's language ability, whose demonstrated a lower teacher-child conflict relationship, was significantly with peer victimization. In addition, the association between a child's emotional regulation and peer victimization was partially mediated by teacher-child conflict relationship.