• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.45-50
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• 2023

In software development, the elicitation and analysis of requirements is a crucial phase, and it involves considerable time and effort due to the involvement of various stakeholders. ChatGPT, having been trained on a diverse array of documents, is a large language model that possesses not only the ability to generate code and perform debugging but also the capability to be utilized in the domain of software analysis and design. This paper proposes a method of requirements engineering that leverages ChatGPT's capabilities for eliciting software requirements, analyzing them to align with system goals, and documenting them in the form of use cases. In software requirements engineering, it suggests that stakeholders, analysts, and ChatGPT should engage in a collaborative model. The process should involve using the outputs of ChatGPT as initial requirements, which are then reviewed and augmented by analysts and stakeholders. As ChatGPT's capability improves, it is anticipated that the accuracy of requirements elicitation and analysis will increase, leading to time and cost savings in the field of software requirements engineering.

• Physical Therapy Korea
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• v.30 no.4
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• pp.261-267
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• 2023

Forward head posture (FHP) is a musculoskeletal disorder that causes neck pain. Several exercise interventions have been used in South Korea to improve craniovertebral angle (CVA) and relieve neck pain. There has been no domestic literature review study over the past 5 years that has investigated trends and effects of exercise intervention methods for CVA with neck pain. This domestic literature review aimed to evaluate the trends and effects of exercise interventions on CVA and neck pain in persons with FHP. A review of domestic literature published in Korean or English language between 2018 and 2022 was performed. Literature search was conducted on Google Scholar and Korea Citation Index by using the following keywords: "exercise," "exercise therapy," "exercise program," "forward head posture," and "neck pain." Ten studies were included in this review. All of the studies showed positive improvements after intervention programs that included exercises. Notably, four of these studies demonstrated significant differences in results between the experimental and control groups. Among the 10 studies, nine measured visual analogue scale or numerical rating scale scores and reported significant reductions in pain following interventions, including exercise programs. Five of these studies showed significant differences in results between the experimental and control groups. Furthermore, six studies that used neck disability index exhibited a significant decrease in symptoms after implementing intervention programs that included exercise, and significant differences in results were found between the experimental and control groups. This domestic literature review provides consistent evidence to support the application of various exercise intervention programs to improve CVA and relieve neck pain from FHP. Further studies are warranted to review the effects of various exercise interventions on FHP reported not only in domestic but also in international literature.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.435-441
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• 2024

In order for the large amount of collected data sets to be used as deep learning training data, sensitive personal information such as resident registration number and disease information must be changed or encrypted to prevent it from being exposed to hackers, and the data must be reconstructed to match the structure of the built deep learning model. Currently, these tasks are performed manually by experts, which takes a lot of time and money. To solve these problems, this paper proposes a technique that can automatically perform data processing tasks to protect personal information during the deep learning process. In the proposed technique, privacy protection tasks are performed based on data generalization and data reconstruction tasks are performed using circular queues. To verify the validity of the proposed technique, it was directly implemented using C language. As a result of the verification, it was confirmed that data generalization was performed normally and data reconstruction suitable for the deep learning model was performed properly.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.477-482
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• 2024

Since the Act on Punishment of Serious Accident has been implemented, the role of construction companies in safety and health and the responsibility of CEO are strengthened. However, serious accidents still occur. Due to population decline and young people's reluctance into the construction industry, the ratio of elderly workers and foreign workers is increasing at construction sites. In this study, a survey was conducted to identify differences in the perception of importance of smart safety technology among vulnerable groups such as foreign workers, elderly workers, and workers with health conditions. Vulnerable workers recognize the importance of smart technology in the fields of foreign language support, risk warning, and body wear monitoring, and the conclusion was drawn that smart technology should be expanded for vulnerable groups in the future.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.289-298
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• 2024

As digital mobile technology has advanced, vertical videos have emerged as a prominent format in the contemporary media field, presenting a new visual language that challenges traditional horizontal-centric aesthetic norms. This study delves into the visual and structural parallels and distinctions between traditional East Asian Hanging scrolls and contemporary vertical videos by applying traditional spatial composition techniques such as the 'Three Distances', 'One River, Two Banks', 'Intended Blank', and 'Unity of Poetry, Calligraphy, and Painting' to the creation of modern vertical videos. Through this comparative analysis, the research examines how vertical layouts enhance depth and layering of the screen, deepen emotional expression, and offer creators new avenues for expression. By juxtaposing the spatial compositions of traditional East Asian Hanging scrolls with those prevalent in today's digital vertical videos, this study seeks to uncover new visual languages and aesthetic values within the evolving media field.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.659-666
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• 2024

Germaine Tailleferre is the only woman composer among the French group of six composers known as "Les Six." In her 70-year career, she has left behind numerous chamber music pieces for the piano. Although her chamber music works constitute a significant portion of her overall compositions, research focusing on her piano chamber music pieces is lacking. Therefore, this study introduces a comprehensive list of Tailleferre's chamber music pieces and categorizes each piece according to its performing level of difficulty. Additionally, through a detailed analysis of her <Sonata for Two Pianos>, composed in 1974, this study aims to understand her musical style and artistic world, particularly regarding form, harmony, and melody. <Sonata for Two Pianos>, rooted in the unpretentious and light musical language characteristic of the salon style popular in Parisian cafes and music halls at the time, can be seen as a multi-layered work reflecting various musical languages such as Impressionism, and Neo-classicism. This study may contribute to a better understanding of Tailleferre's musical world and aid in discovering and expanding new literature on 20th-century piano chamber music.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.13-22
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• 2024

There is a need for and positive aspects of article-based advertising, but as exaggerated and disguised information is delivered due to some indiscriminate 'article-based advertisements', readers have difficulty distinguishing between general articles and article-based advertisements, leading to a lot of misinterpretation and confusion of information. is doing Since readers will continue to acquire new information and apply this information at the right time and place to bring a lot of value, it is judged to be even more important to distinguish between accurate general articles and article-like advertisements. Therefore, as differentiated information between general articles and article-like advertisements is needed, as part of this, for readers who have difficulty identifying accurate information due to such indiscriminate article-like advertisements in Internet newspapers, this paper introduces IT and AI technologies. We attempted to present a method that can be solved in terms of a system that incorporates, and this method was designed to extract articleable advertisements using a knowledge-based natural language processing method that finds and refines advertising keywords and deep learning technology.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.333-338
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• 2017

Ethnography is concerned about specifically-based behavior and belief and the learned pattern of language and aims to describe and interpret them. Therefore, it is a classical form of qualitative research that was developed by anthropologists who spent for long time in conducting fieldworks within the cultural group. The results of analyzing ethnographic research methods of doctoral dissertations in Korea are as follows. First, the number of research participants in data collection methods was 1-10(32 dissertations, 44.4%), 11-20(18, 25%), 21-30(13, 18.1%), 31-40(2, 2.7%), and others(7, 9.8%). Second, data collection methods were in-depth interview(71, 98.6%), participant observation(70, 97.2%), document data(38, 52.7%), engineering device(12, 16.6%), and others(8, 11.1%). Data collection periods were 3-5 months(7 dissertation, 9.8%), 6-8 months(15, 20.8%), 9-11 months(14, 19.6%), 12-14 months(13, 18.1%), more than 15 months(17, 23.6%), and unpresented(4, 5.4%). Third, trustworthiness criteria were triangulation(46 dissertation, 63.9%), research participants' evaluation of study results 44(61.1%), peer researchers' advice and indication(33, 45.8%), follow-up(25, 34.7%), use of reference(20, 27.8%), reflexive subjectivity(17, 23.6%), intensive observation for a sufficient period(10, 13.9%), in-depth description(7, 9.8%), and others(7, 9.8%).

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.12
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• pp.425-435
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• 2018

The purpose of this study is to investigate the cultural value as well as business value of Juk-Bang-Ryeum(fishing instrument made by bamboo weir) by the investigation of remains in Gyeongnam Sacheon area and reviewing various historical literatures. The research will contribute to make back data necessary for the registration of World Heritage(UNESCO) and Globally Important Agricultural Heritage Systems(FAO). Fisheries, along with agriculture, have been great significance in human history. In particular, the Fisheries has been considered very important industry due to the geopolitical characteristics of our country surrounded by the sea. We can imagine may types of fishing practices and instruments at the agricultural age. Nonetheless, there are a few fishery heritages such as collecting and hunting tools that remains today. Fortunately, there are many Juk-Bang-Ryeum which is actually operate now from the past 500 years ago at the The Sacheon and Namhae areas. We could found some literature records about it in the historical ancient literatures. We could also infer that Juk-Bang-Ryeum was an important fishery resource of the country for a long time. It was built on the basis of scientific principles to capture fishes using the rapid tide of the natural geological straits, and it prove the wisdom of our ancestors. We also could found some unique cultural heritages that was important to the local community. Naturally, it has been managed as an important asset for the residents. In addition to such historical and humanistic values, it also has business and educational value. It can be useful to understand scientific fishery principles as well as fishery experience field. It has business value as an important tourism resource in the region in connection with historical relics and geological environment resources. In conclusion, it is a valuable asset to be handed down as a valuable cultural heritage.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.1-13
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• 2015

As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.