• The Transactions of the Korea Information Processing Society
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• v.13 no.4
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• pp.181-188
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• 2024

Traditional profanity detection methods have limitations in identifying intentionally altered profanities. This paper introduces a new method based on Named Entity Recognition, a subfield of Natural Language Processing. We developed a profanity detection technique using sequence labeling, for which we constructed a dataset by labeling some profanities in Korean malicious comments and conducted experiments. Additionally, to enhance the model's performance, we augmented the dataset by labeling parts of a Korean hate speech dataset using one of the large language models, ChatGPT, and conducted training. During this process, we confirmed that filtering the dataset created by the large language model by humans alone could improve performance. This suggests that human oversight is still necessary in the dataset augmentation process.

• Journal of Information Technology Applications and Management
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• v.30 no.2
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• pp.1-18
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• 2023

Recently, as technology development has accelerated and product life cycles have been shortened, it is necessary to derive key product features from customers in the R&D planning and evaluation stage. More companies want differentiated competitiveness by providing consumer-tailored products based on big data and artificial intelligence technology. To achieve this, the need to correctly grasp the required quality, which is a requirement of consumers, is increasing. However, the existing methods are centered on suppliers or domain experts, so there is a gap from the actual perspective of consumers. In other words, product attributes were defined by suppliers or field experts, but this may not consider consumers' actual perspective. Accordingly, the demand for deriving the product's main attributes through reviews containing consumers' perspectives has recently increased. Therefore, we propose a review data analysis-based required quality methodology containing customer requirements. Specifically, a pre-training language model with a good understanding of Korean reviews was established, consumer intent was correctly identified, and key contents were extracted from the review through a combination of KeyBERT and topic modeling to derive the required quality for each product. RevBERT, a Korean review domain-specific pre-training language model, was established through further pre-training. By comparing the existing pre-training language model KcBERT, we confirmed that RevBERT had a deeper understanding of customer reviews. In addition, all processes other than that of selecting the required quality were linked to the automation process, resulting in the automation of deriving the required quality based on data.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.1
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• pp.140-156
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• 2024

This study examined how the motivational language of instructors in senior fashion model classes affects learners' achievement goal orientation and interpersonal competence, as well as their intention to continue participating. The participants in this study were active seniors aged 50 and above, and the analysis was conducted using PLS-SEM and bootstrapping for mediation effects. It was found that autonomous motivation had a significant impact on task achievement goals and interpersonal competence, but not on ego achievement goals. On the other hand, controlled motivation only had a significant impact on ego achievement goals. Additionally, interpersonal competence had a significant impact on the intention to continue participating, and task achievement goals were found to mediate the relationship between autonomous motivation and interpersonal competence. This study aimed to promote understanding of the importance of instructors' motivational language in senior fashion model education and learners' psychology and to provide information that can help develop a fashion-related leisure activity curriculum. It also suggests efficient instructional directions for instructors in senior education, and it is expected to be utilized in the development of fashion-related leisure activity program curricula in the future.

• Korean Journal of Computational Design and Engineering
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• v.17 no.4
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• pp.234-245
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• 2012

This paper proposes a multi-level product modeling framework for long-term lifecycle products. The framework can help engineers to define product models and relate them to physical instances. The framework is defined in three levels; data, design model, modeling language. The data level represents real-world products, The model level describes design models of real-world products. The modeling language level defines concepts and relationships to describe product design models. The concepts and relationships in the modeling language level enable engineers to express the semantics of product models in an engineering-friendly way. The interactions between these three levels are explained to show how the framework can manage long-term lifecycle product information. A prototype system is provided for further understanding of the framework.

• Journal of Families and Better Life
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• v.30 no.2
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• pp.189-196
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• 2012

The purpose of this study was to investigate trajectories of relational aggression in preschool children. The latent growth curve model was used to examine relational aggression in 3 to 5 year olds. The participants were 3-year-old children recruited from preschools and daycare centers. The children's verbal ability was assessed by interview and teachers completed measurements of negative emotionality and relational aggression. The findings suggest that relational aggression decreased during the preschool years. Gender, language ability, and negative emotionality showed positive effects on the initial level of relational aggression. Moreover, gender and negative emotionality had negative effects, however, language ability had positive effects on the change rate of relational aggression.

• International Journal of Ocean System Engineering
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• v.2 no.1
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• pp.24-31
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• 2012

This paper introduce a technique for Word segmentation for the handwritten recognition of Urdu script. Word segmentation or word tokenization is a primary technique for understanding the sentences written in Urdu language. Several techniques are available for word segmentation in other languages but not much work has been done for word segmentation of Urdu Optical Character Recognition (OCR) System. A method is proposed for word segmentation in this paper. It finds the boundaries of words in a sequence of ligatures using probabilistic formulas, by utilizing the knowledge of collocation of ligatures and words in the corpus. The word identification rate using this technique is 97.10% with 66.63% unknown words identification rate.

• Proceedings of the KSPS conference
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• 2006.05a
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• pp.89-93
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• 2006

This paper presents ETRI broadcast news speech recognition system. There are two major issues on the broadcast news speech recognition: 1) real-time processing and 2) out-of-vocabulary handling. For real-time processing, we devised the dual decoder architecture. The input speech signal is segmented based on the long-pause between utterances, and each decoder processes the speech segment alternatively. One decoder can start to recognize the current speech segment without waiting for the other decoder to recognize the previous speech segment completely. Thus, the processing delay is not accumulated. For out-of-vocabulary handling, we updated both the vocabulary and the language model, based on the recent news articles on the internet. By updating the language model as well as the vocabulary, we can improve the performance up to 17.2% ERR.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.4
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• pp.11-20
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• 1993

In the new database applications such as office information systems, CAD/CAM, and AI, it is required to support not only fixed Is-A and Part-Of relationships but also various user-defined dynamic relationships including complicate constraints. However, existing object-oriented systems have many weaknesses in managing those complex relationships. This paper presents the Object-Oriented Relationship data Model (OORM) which is designed to provide facilities for modeling complex relationships into object oriented databases using abstraction concept. In the model, various integrity and consistency constraints related to the relationships can be also represented. And this paper presents a query language, ORSQL(Object Relationship SQL). ORSQL is a nonprocedural query language having similiar syntax to the standard SQL and supporting OORM's operations.

• Journal of Communications and Networks
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• v.16 no.4
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• pp.385-396
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• 2014

In this paper, we present a formal method for modeling and checking an enhanced version of the carrier sense multiple access with collision avoidance protocol related to the IEEE 802.11 MAC layer, which has been proposed as the standard protocol for wireless local area networks. We deal mainly with the distributed coordination function (DCF) procedure of this protocol throughout a sequence of transformation steps. First, we use the unified modeling language state machines to thoroughly capture the behavior of wireless stations implementing a DCF, and then translate them into the input language of the UPPAAL model checking tool, which is a network of communicating timed automata. Finally, we proceed by checking of some of the safety and liveness properties, such as deadlock-freedom, using this tool.

• English Language & Literature Teaching
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• v.12 no.1
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• pp.159-181
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• 2006

The purpose of this paper is to examine the effectiveness of presentation-based instruction and to suggest a model of instruction targeted to the Korean intermediate level students learning English as a foreign language (EFL). To achieve this objective, the author examined how the acquisition of practical English through oral presentation would enhance the students' learning motivation, language abilities, and communicative competence in concrete situations. It was confirmed that the trained leader and systematic teaching and learning are needed to maximize the effects of presentation-based instruction. In doing so, the author compared and analyzed the collected data in order to support the validity of this teaching method. It was further pointed out that the teacher should have a close look at the roles of the presenter and learner in an effort to work out the usefulness of such an instruction model. The method of presentation in classroom settings would be a practical mode to attain the essential purpose of EFL teaching particularly to get over the drawbacks of Korean students' communicative competence. As a result, it would be an effective teaching method to meet the nation's long-standing demands for EFL education.