• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.500-503
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• 2009

질의 응답 시스템은 사용자가 입력한 질의에 대한 답변 문장들을 보여주는 시스템이다. 대부분의 기존의 연구는 사용자의 질의문에 대해서 가장 적합한 문장들을 찾는 방법을 제안하고 있다. 그러나 질의문에 사용되는 단어들은 근본적으로 애매모호성을 포함하고 있기 때문에, 시스템이 사용자의 정확한 질의 의도를 파악하여 가장 적합한 문장들을 찾는 것은 불가능하다. 이러한 근본적인 문제를 개선하기 위해서 여러가지 연구들이 수행되었다. 본 논문에서는 이러한 문제점을 해결하기 위한 방법으로서 시스템에서 답변이 준비된 빈발 질의(FAQ)들 중에서 사용자의 질의를 함의하는 것들을 추천하여 사용자가 자신의 질의 의도에 따라 정확한 답변을 효과적으로 찾도록 도와주는 방법을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.655-656
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• 2022

Among the analysis methods for a recommendation system, collaborative filtering is a major representative method in a recommendation system based on data analysis. A general usage method is a technique of finding a common pattern by using evaluation data of users for various items, and recommending a preferred item for a specific user. Therefore, in this paper, various algorithms were used to measure the index, and an algorithm suitable for prediction of user preference was found and presented.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1478-1480
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• 2011

경제가 발전할수록 디자인의 중요성이 높아지고 있으며 디자인을 이루는 여러 요소들 가운데 색이 차지하고 있는 비중은 매우 높다. 하지만 일반인은 조화로운 색을 선택하는데 어려움을 겪고 있다. 이를 위해 기존의 연구들은 다양한 색상 추천 방법을 제안하고 있지만 개인이 어떠한 배색을 더 선호하는 가에 관한 사용자 선호도는 고려되지 않는 경우가 대부분이다. 이에 본 연구에서는 협업필터링의 유사도 측정 방법을 컬러조화 추천 방법에 적용함으로써 사용자의 성향을 고려한 맞춤형 색 조화 추천 방안을 제안한다. 제안하는 방법은 색상별로 선호하는 색 조화 간의 유사도를 가중치로 사용하기 때문에 새로운 사용자의 선호도 예측 및 추천이 가능하며 이를 통해 향후 색과 조화를 선정하는 기본 적인 자료로 활용할 수 있으며 저장된 선호도는 유사한 성향을 지닌 사용자의 선호도 예측 및 각종 제품 마케팅 등에 적용이 가능하다.

• Geomechanics and Engineering
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• v.34 no.4
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• pp.461-472
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• 2023

A box scale affects the shear behavior of soils in the direct shear test. The purpose of this study is to investigate the scale effect on the shear behavior of dilative granular materials by testing specimens of different heights placed in a type C shear box. Experimental tests were performed on specimens composed of glass beads with different heights and equal initial void ratios. Results showed that the peak friction and dilation angles linearly increased with the specimen height; however, the residual friction angle remained relatively constant. Similarly, the shear stiffness increased with the specimen height, rapidly reaching its peak state. Height does not have a significant effect on the total volume changes; nevertheless, a high aspect ratio can be assumed to result in global and homogeneous failure. The results and interpretations may be used as reference for recommending shear box scale in direct shear tests.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.275-280
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• 2022

This paper intends to propose a technology for recommending convergence/composite art playlist contents that are fused with tags suitable for the user's situational information and taste to users for non-face-to-face art appreciation education. For the implementation of the proposed technology, the characteristics of works of art are analyzed, and related music and works of art are matched based on the tags of the analyzed works. In addition, we would like to propose a technology that automatically creates content for fusion and complex art viewing playlists using matched works.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.147-150
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• 2023

본 논문에서는 코로나 19 확산에 따른 마스크 생산량 급증에 따라 폐마스크 수거함을 배치하는 경기도 용인시에 데이터를 기반으로 한 수거함 위치 추천을 목표하는 프로젝트를 소개한다. 해당 프로젝트는 전국 표준노드 링크와 건축물 용도 API를 활용했으며 데이터 전처리와 메모이제이션 기법 등으로 적절한 시간 안에 결과가 도출되도록 위치 추천 엔진을 개발했다. 개발 완료된 엔진으로부터 도출된 결과를 바탕으로 폐마스크 수거함을 배치한다면 보다 효과적인 결과로 이어질 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.260-263
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• 2023

Considering the growth of blockchain technology, the research aims to transform the efficiency of recommending optimal coffee suppliers within the complex supply chain network. This transformation relies on the extraction of vital transactional data and insights from stakeholders, facilitated by the dynamic interaction between the application interface (e.g., Rest API) and the blockchain network. These extracted data are then subjected to advanced data processing techniques and harnessed through machine learning methodologies to establish a robust recommendation system. This innovative approach seeks to empower users with informed decision-making abilities, thereby enhancing operational efficiency in identifying the most suitable coffee supplier for each customer. Furthermore, the research employs data visualization techniques to illustrate intricate clustering patterns generated by the K-Means algorithm, providing a visual dimension to the study's evaluation.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.957-976
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• 2023

ChatGPT has had a significant impact on society, business, and academia by influencing individuals and organizations through knowledge generation and supporting users in locating conversational inquiries and answers. It can transform how people seek answers by combining human-like conversational skills with AI. By eradicating the cumbersome process of selecting from multiple options, users can conduct preliminary research or create optimized solutions. The purpose of this research is to investigate how consumers use ChatGPT and digital transformation, specifically in terms of knowledge development, searching and recommending, and optimizing accessible possibilities. Using many linked theories, we address the potential implications and insights that can be gained from ChatGPT's early stages and its integration with other applications such as robotics, service automation, and the metaverse. Finally, the application of ChatGPT has practical, theoretical, and phenomenological impacts, in addition to improving users' experiences.

• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.76-80
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• 2023

This study is about a service that allows people to naturally learn to bask in the sun, which is a habit to relieve depression. Modern people do not have enough time to bask in the sun due to their busy lives, and as a result, depression and fatigue are increasing day by day. Therefore, in order to relieve depression, there is a need for the development of technology to manage the schedule of sunlight basking so that users can experience sunlight more naturally. The sunlight service developed through this study can help you easily plan your sunlight schedule by recommending good dates, times, and locations for sunbathing. In addition, users can receive coins as much as they bask in the sun, and they can be motivated by the act of basking in the sun by raising their character with those coins.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.90-97
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• 2024

Shoulder impingement syndrome (SIS) is a common musculoskeletal condition characterized by pain and functional limitation due to the impingement of subacromial structures. This comprehensive review elucidates the complex nature of SIS, covering its pathophysiology, diagnostic methodologies, treatment options, and preventive measures. Through an exhaustive examination of current literature and clinical practices, the review highlights the importance of a multifaceted approach to SIS management. Physical therapy plays a pivotal role, focusing on exercises to strengthen shoulder musculature, enhance scapular stability, and improve range of motion. The review also discusses the strategic use of medications such as NSAIDs and corticosteroid injections, emphasizing their effectiveness in pain and inflammation management. Additionally, it advocates for structured rehabilitation programs post-treatment to restore function and prevent recurrence, recommending preventive strategies like ergonomic adjustments, targeted exercises, and proper technique training. This paper underscores the need for personalized and evidence-based treatment strategies, integrating physical therapy and pharmacological management when necessary.