• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.381-388
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• 2014

In this paper, we deal with implementation issues of an unknown word classifier for middle-school level English writing test. We define the type of unknown words occurred in English text and discuss the detection process for unknown words. Also, we define the type of swear words occurred in students's English writings, and suggest how to handle this type of words. We implement an unknown word classifier with a swear detection module for developing an automatic English writing scoring system. By experiments with actual test data, we evaluate the accuracy of the unknown word classifier as well as the swear detection module.

• Asia pacific journal of information systems
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• v.2 no.1
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• pp.77-92
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• 1992

We presents a source module implementation system using building blocks as one of the software reusing approach. Based on module text retrieval system, system is composed of library management program and new module making program for module management. We build a software module by virtue of the reuser's customization and by applying a practical module to this model and then proved that program development through reusing approach is better than that of writing out a source code directly.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.3
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• pp.160-165
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• 2023

In this study, we propose an SNS sentence writing assistance system that utilizes YOLO and GPT to assist users in writing texts with images, such as SNS. We utilize the YOLO model to extract objects from images inserted during writing, and also extract meta-information such as GPS information and creation time information, and use them as prompt values for GPT. To use the YOLO model, we trained it on form image data, and the mAP score of the model is about 0.25 on average. GPT was trained on 1,000 blog text data with the topic of 'restaurant reviews', and the model trained in this study was used to generate sentences with two types of keywords extracted from the images. A survey was conducted to evaluate the practicality of the generated sentences, and a closed-ended survey was conducted to clearly analyze the survey results. There were three evaluation items for the questionnaire by providing the inserted image and keyword sentences. The results showed that the keywords in the images generated meaningful sentences. Through this study, we found that the accuracy of image-based sentence generation depends on the relationship between image keywords and GPT learning contents.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.275-282
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• 2024

This study studied a teaching model for software education using generative AI. The purpose of the study is to use ChatGPT as an instructor's assistant in programming classes for non-major students by using ChatGPT in software education. In addition, we designed ChatGPT to enable individual learning for learners and provide immediate feedback when students need it. The research method was conducted using ChatGPT as an assistant for non-computer majors taking a liberal arts Python class. In addition, we confirmed whether ChatGPT has the potential as an assistant in programming education for non-major students. Students actively used ChatGPT for writing assignments, correcting errors, writing coding, and acquiring knowledge, and confirmed various advantages, such as being able to focus on understanding the program rather than spending a lot of time resolving errors. We were able to see the potential for ChatGPT to increase students' learning efficiency, and we were able to see that more research is needed on its use in education. In the future, research will be conducted on the development, supplementation, and evaluation methods of educational models using ChatGPT.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.4
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• pp.389-398
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• 2020

Test cases in the existing weapon system software were created manually by the tester analyzing the test items defined in the software integration test procedure. However, existing test case generation method has two limitations. First, the quality of test cases can vary depending on the tester's ability to analyze the test items. Second, excessive time and cost may be incurred in writing test cases. This paper proposes a method to automatically generate test cases based on the requirements model and specifications to overcome the limitations of the existing weapon system software test case generation. Generate test sequences and test data based on the use case event model, a model representing the requirements of the weapon system software, and the use case specification specifying the requirements. The proposed method was applied to 8 target models constituting the avionics control system, producing 30 test sequences and 8 test data.

• Journal of KIISE:Software and Applications
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• v.29 no.12
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• pp.895-906
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• 2002

Due to increased concern about the distributed web application, the interest in EJB - server-side Java component architecture that enables to make out Business Logic without writing codes related to complicated distributed framework - is also increasing. Despite of these increased interest, However, efforts for reliability of these systems have been insufficient. Thus, in this paper, we propose specification technique for applying DbC approach, which can elevate the reliability of software in the Object-Oriented system development, in writing formal specification of EJB-based application. Through this specification technique, developers can gain reliability in the EJB-based application development.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.206-208
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• 2015

온라인을 통해 접하게 되는 잘못된 우리말 표현과 외국어 중심 교육 등으로 인하여 학생들의 한국어 능력, 특히 글쓰기 능력에 우려가 높아지고 있다. 본 논문에서는 잘 작성된 말뭉치에서 얻어진 데이터에 기반한 한국어 글쓰기 도우미 시스템을 제안한다. 시스템은 작성 중인 문맥에 맞은 단어를 추천하는 용언/체언 추천과 입력 문장의 주요 단어가 포함된 말뭉치의 문장을 제시하는 유사 문장 추천, 문서의 단어가 문서의 문맥 단어와 조화로운지를 확인하는 어휘 응집성 검사, 단어 중복도를 확인하기 위한 단어 빈도 검사 기능을 제공한다. 시스템에서는 사용자가 말뭉치를 추가하면 색인을 구축할 수 있어 원하는 분야에 맞는 추천과 검사 기능을 제공할 수 있다.

• Journal of the Korea Computer Industry Society
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• v.3 no.9
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• pp.1129-1144
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• 2002

The purpose of this study was to see the influences of net-speak on actual writing of elementary schoolchild. So I investigated diaries and letters of elementary schoolchild in Jeju. And I researched through questionaire their recognition of net-speak. As the result, it became clear to be widely used net-speak both diaries and letters, especially letters. In computer education, first, Information and communication ethics must be educated. The second, software which filtering net-speak have to be developmented. In language education, first, it must be researched to influence the replacing a ellipsis symbol with a period or omitting the subject, complement, and object in sentence on elementary schoolchild's way of thinking. The second, it needs to be researched the influences of the misuse of sign in sentences on the writing of elementary schoolchild.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.203-209
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• 2021

When carrying out computer programming, the process of checking and correcting errors in the source code is essential work for the completion of the program. Non-computer majors who are learning programming for the first time receive feedback from instructors to correct errors that occur when writing the source code. However, in a learning environment where the time for the learner to practice alone is long, such as an online learning environment, the learner starts to feel many difficulties in solving program errors by himself/herself. Therefore, training on how to check and correct errors after writing the program source code is necessary. In this paper, various types of errors that can occur in a Python program were described, the errors were classified into simple errors and complex errors according to the characteristics of the errors, and the distributions of errors by Python grammar category were analyzed. In addition, a coding learning process to refer error lists was designed to present a coding learning method that enables learners to solve program errors by themselves.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.532-537
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• 2008

Existing management of bridge is being writing management paper at field and computing at office. These are instability factor on bridge structure because of authenticity deterioration, disutility data management. Therefore, this paper is possibility expedient and objectivity inspection considering check situation at field for solve these problem. And development software which is intelligent bridge maintenance based Ubiquitous. This software can increase authenticity of data through computerization of maintenance data and reduce of time. Also, we confirm effective and facilitate maintenance management using ubiquitous.