• Journal of the Korea Society of Computer and Information
• /
• v.17 no.9
• /
• pp.29-38
• /
• 2012

In this paper, we propose a named entity and event annotation tool for cultural heritage information corpus construction. Focusing on time, location, person, and event suitable for cultural heritage information management, the annotator writes the named entities and events with the proposed tool. In order to easily annotate the named entities and the events, the proposed tool automatically annotates the location information such as the line number or the word number, and shows the corresponding string, formatted as both bold and italic, in the raw text. For the purpose of reducing the costs of the manual annotation, the proposed tool utilizes the patterns to automatically recognize the named entities. Considering the very little training corpus, the proposed tool extracts simple rule patterns. To avoid error propagation, the proposed patterns are extracted from the raw text without any additional process. Experimental results show that the proposed tool reduces more than half of the manual annotation costs.

• The KIPS Transactions:PartB
• /
• v.12B no.4 s.100
• /
• pp.479-486
• /
• 2005

The ontology was proposed to construct the logical basis of semantic web. Ontology represents domain knowledge in the formal form and it enables that machine understand domain knowledge and provide appropriate intelligent service for user request. However, the construction and the maintenance of ontology requires large amount of cost and human efforts. This paper proposes an automatic ontology construction method for defining relation between concepts in the documents. The Proposed method works as following steps. First we find concept pairs which compose association rule based on the concepts in domain specific documents. Next, we find pattern that describes the relation between concepts by clustering the context between two concepts composing association rule. Last, find generalized pattern name by clustering the clustered patterns. To verify the proposed method, we extract relation between concepts and evaluate the result using documents set provide by TREC(Text Retrieval Conference). The result shows that proposed method cant provide useful information that describes relation between concepts.

• Journal of the Korean Society for Precision Engineering
• /
• v.16 no.7
• /
• pp.109-118
• /
• 1999

A graphic software is one of the most important components of the vehicle simulator. To increase a visual reality of the simulator, the graphic software should require several technologies such as three-dimensional graphics, graphic modeling of the vehicle and the environment, drivers biomechanical models, and real-time data processing. This study presents a real time graphic driving simulator of a construction vehicle. The graphic simulator contains the three models of the construction vehicle, the human, and the environment, and employes a neural network approach to decrease an on-line dynamic computation. An excavator model is represented using an object-oriented paradigm and contains the detailed information about a real-size vehicle. The human model is introduced for objective visual evaluations of the developed excavator model. Since the environment model plays an important role in a real-time simulator, a block-based approach is implemented and a text format is utilized for easier construction of environment. The simulation results are illustrated in order to demonstrate the applicability of developed models and the neural network approach.

• Journal of the Korea Convergence Society
• /
• v.10 no.7
• /
• pp.175-182
• /
• 2019

We classify topics on fall incidents occurring in construction sites using topic modeling among machine learning techniques and analyze the causes of the accidents according to each topic. In order to apply topic modeling based on latent dirichlet allocation, text data was preprocessed and evaluated with Perplexity score to improve the reliability of the model. The most common falling accidents happened to the daily workers belonging to small construction site. Most of the causes were not operated properly due to lack of safety equipment, inadequacy of arrangement and wearing, and low performance of safety equipment. In order to prevent and reduce the falling accidents, it is important to educate the daily workers of small construction site, arrange the workplace, and check the wearing of personal safety equipment and device.

• Journal of Fashion Business
• /
• v.26 no.1
• /
• pp.105-118
• /
• 2022

This study investigated the effective pedagogical strategies for sewing by examining the efficacy of sewing videos as supplemental learning materials and demonstration tools. Sewing videos were created for face-to-face apparel construction courses, and students' opinions on sewing videos as an educational tool were collected. Videos with subtitles were offered to Apparel Construction Course 1, whereas videos with narration and subtitles were offered to Apparel Construction Course 2. As "supplemental learning materials," students rated videos as more effective for learning and satisfying than "documents with text and images." The effectiveness and satisfaction scores for Apparel Construction Course 2 were significantly higher than those for Apparel Construction Course 1. Furthermore, videos were utilized significantly more than documents, and most students preferred videos over documents. The main benefits of videos as supplemental learning materials were repetitive learning at the learner's convenience and the detailed presentation of the sewing process. Students regarded narration as more effective and satisfying than subtitles. Narrations were expected to be offered along with subtitles. As "demonstration tools," students rated videos as more effective for learning and satisfying than traditional "sewing samples." Students preferred "demonstration with videos" to "demonstration with sewing samples." The main benefits of video demonstration were a close-up view, presentation of the entire sewing process, and shorter wait time without the need for group teaching. Students wanted more sewing videos and narrations to be offered, and various sewing machine feet to be used in the videos. Educational methods for sewing were suggested based on student opinions.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.359-366
• /
• 2024

In bidding documents, valuable information about the project exists in the form of text. When undertaking a new bid, it is necessary to refer to relevant documents from previous bidding projects, similar to the current one, to effectively understand the requirements and characteristics of the project. However, manually comparing and analyzing these documents is a time-consuming and costly process. Especially with the incorporation of emerging technologies like BIM, comparing and analyzing documents involving these new technologies requires a deeper level of expertise and understanding, posing a significant challenge. To tackle this knowledge gap, this study aims to develop a BERT-based approach to assess project similarity for Korean bidding documents. To achieve the research goal, a two-stage strategy was adopted: 1) the development of a Korean tokenizer for bidding documents in BIM technology, and 2) word embedding using BERT and project similarity analysis employing cosine similarity. The developed BERT-based similarity analysis model can automatically evaluate each project and identify the most similar project. By matching target projects with the best benchmarks, this research can assist individuals in making more accurate and timely decisions.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.6
• /
• pp.1964-1972
• /
• 2000

For the Korean language, on acoustics, it creates a different form of phonetic value not a phoneme by its own peculiar property. Therefore, the construction of extended recognition system for understanding Korean language should be created with a study of the Korean rule-based system, before it can be used as post-processing of the Korean recognition system. In this paper, text-based Korean rule-based system featuring Korean peculiar vocal sound changing rule is constructed. and based on the text-based phonetic value result of the system constructed, a preliminary phonetic value segmentation border points with non-uniform blocks are extracted in Korean isolated word speech. Through the way of merge and recognition of the non-uniform blocks between the extracted border points, recognition possibility of Korean voice as the form of the phonetic vale has been investigated.

• Journal of Korea Multimedia Society
• /
• v.20 no.11
• /
• pp.1828-1841
• /
• 2017

In the previous research, we proposed a Kinetic typography font engine that can easily add motion to text with function call only. However, since it is aimed at constructing movements for a sentence, there is still inconvenience in the production of various kinetic typography motions in word or letter unit. We propose Kinetic Typical Extended Motion API(Application Programming Interface) that extends Kinetic Motion API. The extended Kinetic Typographic Font Engine aims to simplify the process of making kinetic typography in words and letters, including the kinetic typographic motion library provided as a function. In addition, various applications that can apply Kinetic typography A kinetic typography authoring interface is provided for facilitating the construction of a motion library for the robot.

• English Language & Literature Teaching
• /
• v.15 no.4
• /
• pp.1-22
• /
• 2009

This case study aimed to explore proficient EFL readers' perceptions and experiences about reading tasks and how those perceptions and experiences influence their reading processing behaviors, and to examine how the cultural background of a text affects their reading strategies and comprehension. Three college students who were non-English majors participated in this study. Three data sources were employed: questionnaires, interviews, and think-alouds. The results showed that: (1) the participants emphasized comprehension as the goal of reading and considered themselves good EFL readers; (2) their reading purposes were closely associated with personal pursuits; (3) they preferred to read materials that deal with areas of interest but did not try to take a risk in terms of level of difficulty and/or length; (4) they implemented a multistrategic approach to reading in that the majority of their strategy use was in conjunction with their concern about meaning construction; (5) they were able to develop useful understandings of unknown vocabulary; and (6) their clear awareness of the cultural background presupposed in the text helped them invoke prior knowledge and reduce unknown vocabulary hindrances which contributed to comprehension. Pedagogical implications for EFL reading instruction are provided.

• Journal of The Korean Digital Architecture Interior Association
• /
• v.12 no.2
• /
• pp.53-60
• /
• 2012

In this paper, we present new methods for identifying keywords for foresight topics that utilize the internet and textmining techniques to draw objective and quantified information that support experts' qualitative opinions and evaluations in foresight. Furthermore, by applying this fabricated procedure, we have derived keywords to analyze priorities in architectural engineering. Not much difference between qualitative methods of experts and quantitative methods such as text mining has been observed from comparison between technologies derived via qualitative method from "The Science Technology Vision" (control group). Therefore, as a quantitative tool useful for drawing keywords for foresight, textmining can supplement quantitative analysis by experts. In addition, depending on the level and type of raw data, text mining can bring better results in deriving foresight keywords. For this reason, research activities accommodating Internet search results and the development of textmining methods for analyzing current trends are in demand.