• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.642-644
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• 2011

본 논문은 다자간 interaction (소셜네트워킹 서비스)과 이미지 map(지도 서비스)이 지원되는 위치 기반 서비스(LBS: Location Based System)를 안드로이드 기반 스마트폰 애플리케이션으로 구현한다. 현대의 스마트폰 응용 서비스는 다양한 서비스가 합쳐져 새로운 서비스를 제공하는 매쉬업(mash-up)방식이 주를 이루고 있다. 본 연구가 목표로 하는 위치기반서비스(LBS)와 소셜네트워킹 서비스(SNS)의 결합은 현재 사용자가 위치한 주변에서 개인취향에 가장 적합한 음식점을 자동으로 추천해주는 등의 서비스를 실현하는 것이 가능하다. 본 연구는 2010년 한이음 IT멘토링 지원사업을 통해 진행된 산업체 멘토, 교수, 그리고 학생간 프로젝트 협업을 통해 학생들의 실무경험을 확대하고, 창의력과 현장 적응력을 증진하는데 목적을 두었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.131-132
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• 2023

본 연구는 R&D 전주기 지원을 위해 과제 기획 및 수행과 연구성과 창출 시나리오를 통합 설계하고, 연구자 관점에서의 실효성과 유용성을 검증하기 위해 프로토타입으로 구현하는 것을 목표로 한다. 기존 연구가 R&D 전주기를 몇 가지 활동으로 세분화하고 모형화하였지만, 개념적 설계에만 초점을 맞추고 있다는 한계를 극복하고자, 본 연구에서는 산업계 및 학계 전문가와 협력하여 R&D 경험을 시나리오에 반영하고 이를 프로토타입으로 실증하였다.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.207-222
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• 2008

This research suggests the method of how to build agricultural and stockbreeding products recommender systems based on RFID technology for monitoring crop and livestock production, tracing production history as an application strategy. In the past the studies on enterprise applications have been barely implemented owing to the rack of business model and limitation of technical development. Currently however there have been enormous technological progress of RFID and agricultural and stockbreeding products retailing sites are increased. Therefore this paper suggests PDCF-ASP(Profile Decay based Collaborative Fltering for Agricultural and Stockbreeding Products) which is designed to reduce customers… search efforts in finding safety and fresh products on the internet shopping mall. For this, product decay function is defined to make sure whether the products are safety or not and to adopt a change in customer preferences. And for the implementation of PDCF-ASP, the system structure including functional agents is schematized.

• Korean journal of communication and information
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• v.54
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• pp.76-97
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• 2011

What are the meanings of abduction as a methodology of Cultural Studies? By contextualizing Charles Sanders Peirce's logic of abduction in the discipline of Cultural Studies, I explore the epistemological discussion on the modern scientific research methodology of social sciences. Abduction is a kind of logical inference, which is often associated with guessing or intuition. Peirce's method of abduction and Cultural Studies' contextual formation in effect address an alternative methodology to positivism. Criticizing the modern Eurocentric structure of knowledge construction, I suggest that the virtue of abduction, as a logic of discovery, should be re-discovered in the context of Cultural Studies. Abduction holds important lessons for Cultural Studies as well as social sciences in general because of its focus on intuition, empathy, and intellectual collaboration. Through its elaboration of the logic of abduction, Cultural Studies is able to maintain not only its epistemological ground but also its methodological communicability.

• Journal of Energy Engineering
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• v.29 no.2
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• pp.30-39
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• 2020

The purpose of this paper is to present a solution to the conflict when hydrogen energy is used for national energy transition through design thinking methodology. Research shows that design thinking enables joint design of policies for hydrogen energy transition between government and stakeholders. This is a macro approach based on empathy and cooperation, and can form consensus on the policy design process in the early stages. Starting with an understanding of hydrogen energy conflicts, ideas can be found based on the experiences gained from conflicts of stakeholders, disputes or lawsuits. And based on this, additional ideas on hydrogen energy transition will be verified the realization of the ideas. Collaboration with stakeholders to improve conflicts can create new values. In the process of reconfiguring the definition of energy transition problems, the opinions of stakeholders can be integrated with continuous empathy. Through design thinking methodology, we can integrate opinions of stakeholders and prevent conflicts.

• Journal of the HCI Society of Korea
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• v.6 no.2
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• pp.11-20
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• 2011

The mass collaboration, one of the newest solutions for web-related tasks, has been recognized to be an effective tool for the R&D sectors of the corporates, since the key advantages of crowdsourcing is that the industrial challenges can be shared with the public entities to find proper solutions. This research approaches to the possibility of the design adoption with participation thorough the Internet will positively effect to its process. This research tried to look around the current trend of web 2.0 based services which support the Mass Collaboration method and results of paper related to the Crowdsourcing and design integration. Following to the analysis of web research, we meet the conclusion as just a small number of users' opinion has helped designing new product and service. And we compared it to the conventional design process detail functions, less number of websites support it. However, the result of paper research shows optimistic results of collective design activity. Several cases emphasize that participants were very active to support their thoughts, memories and novel design idea, therefore designer and researchers got enormous help from them and it was better than conventional participatory design in some perspective.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.129-142
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• 2019

The interest in the blockchain technology has been increasing since its inception and it has been applied to many fields and sectors. The blockchain technology creates a decentralized environment where no third party controls the data and transaction. Mobile apps recommendation has been extensively used to recommend apps to mobile users. For example, Android-based recommendation applications have been developed to recommend other mobile apps for download depending on user's preferences and mobile context. These recommendations help users discover apps by referring to the experiences of other users. Due to the collection of a large amount of data and user information, there is a problem of insecurity and user's privacy that are prone to be attacked. To address this issue the blockchain technology can be incorporated to assure cryptographic safety. In this paper, we present a survey of the on-going mobile app recommendations and e-commerce technology trend to address how the blockchain can be incorporated into the collaborative filtering recommendation systems to enable the users to set up a secured data, which implies the importance of user privacy preference on personalized app recommendations.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.663-668
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• 2022

As the number of people who experience sleep disorders is increasily growing, users' desire to improve their sleep quality has also increased. Acoordingly, the 'Sleeptech' market is showing a steady growth. This study designs and proposes a system after consideration of existing related research that can help modern people overcome sleep disorders, which is based on the necessity for customized sleep hygien service. This system analyzes user's sleep data collected through smartphone built-in sensors to calculate sleep patterns, provides customized sleep hygiene-based solutions to users through collaborative filtering, and provides an environment suitable for sleep through the automatic control of IoT devices. This method of using sleep data is expected to contribute to the improvement of the quality of life of modern people suffering from sleep disorders, which results from expansion to Sleeptech market as well as improvement of users' sleep habits.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.39-48
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• 2023

This study was conducted to provide a solution to the problem of sizing errors occurring in online purchases due to discrepancies and non-standardization in clothing sizes. This paper discusses an implementation approach for a machine learning-based recommender system capable of providing personalized sizes to online consumers. We trained multiple validated collaborative filtering algorithms including Non-Negative Matrix Factorization (NMF), Singular Value Decomposition (SVD), k-Nearest Neighbors (KNN), and Co-Clustering using purchasing data derived from online commerce and compared their performance. As a result of the study, we were able to confirm that the NMF algorithm showed superior performance compared to other algorithms. Despite the characteristic of purchase data that includes multiple buyers using the same account, the proposed model demonstrated sufficient accuracy. The findings of this study are expected to contribute to reducing the return rate due to sizing errors and improving the customer experience on e-commerce platforms.

• Education of Primary School Mathematics
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• v.26 no.4
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• pp.317-332
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• 2023

Mathematical modeling activities hold the potential for diverse applications, involving the transformation of real-life situations into mathematical models to facilitate problem-solving. In order to assess the cognitive, affective, and social dimensions of students' engagement in mathematical modeling activities, this study conducted sessions with ten groups of fifth-grade elementary school students. The ensuing processes and outcomes were thoroughly analyzed. As a result, each group effectively applied mathematical concepts and principles in creating mathematical models and gathering essential information to address real-world tasks. This led to notable shifts in interest, enhanced mathematical proficiency, and altered attitudes towards mathematics, all while promoting increased collaboration and communication among group members. Based on these analytical findings, the study offers valuable pedagogical insights and practical guidance for effectively implementing mathematical modeling activities.