- Digital Marketing and Social Media
- Consumer Behavior in Brand Consumption and Identification
- Consumer Market Behavior and Pricing
- Sentiment Analysis and Opinion Mining
- Product Development and Customization
- Quality Function Deployment in Product Design
- Color perception and design
- Innovation in Digital Healthcare Systems
- Graphite, nuclear technology, radiation studies
- Sustainable Supply Chain Management
- Advanced Text Analysis Techniques
- Technology and Data Analysis
- Customer Service Quality and Loyalty
- Spatial Cognition and Navigation
- Manufacturing Process and Optimization
- Radioactive contamination and transfer
- Innovation Diffusion and Forecasting
- Technology Adoption and User Behaviour
- Nonmelanoma Skin Cancer Studies
- Intelligent Tutoring Systems and Adaptive Learning
- Design Education and Practice
- Semantic Web and Ontologies
- Innovative Teaching and Learning Methods
- Educational Systems and Policies
- Cancer and Skin Lesions
Urbana University
2023
University of Illinois Urbana-Champaign
2020-2023
Korea Institute of Radiological and Medical Sciences
2013-2016
Korea National University of Education
2014
Seoul National University
2011
Abstract Recently, online user-generated data have been used as an efficient resource for customer analysis. In the product design area, various methods analyzing preference features suggested. However, most of them focused on feature categories rather than components which are crucial in practical applications. To address that limitation, this paper proposes a new methodology extracting sub-features from data. First, method detects phrases and filtered using manual documents. The embedded...
Abstract Remanufacturing is a representative product recovery strategy that can improve economic profitability and sustainability, but many companies are struggling because of the lack understanding market design strategies for remanufactured products. Unlike production process new products, remanufacturing requires unique processes, such as collecting used products dis(re)assembly. Therefore, several factors need to be considered First, when designing product, it crucial ensure...
Abstract COVID-19 pandemic has continued to pose a challenge the society for almost three years, adversely affecting all segments of population in scale unseen recent decades. Over course pandemic, many people have lost their jobs and income. These social economic impacts disrupted market, potentially altering people's attitudes towards different product features. Therefore, this paper investigates changes customer preferences on various features products, before after using online review...
Abstract Recently, online user-generated data has emerged as a valuable source for consumer product research. However, most studies have neglected the brand effect, although it is significant factor in conventional market This paper demonstrates importance of brands data-driven design using reviews. Specifically, this study utilizes game theory and suggests setting representing competition. Elements are determined based on analysis. The proposed approach consists three stages. first stage...
Customers share their opinions about a product through online reviews. Companies incorporate customer into design to increase satisfaction and market success. Many studies have attempted analyze on specific features. However, these do not attempt understand the actual intent of customers when mentioning feature in context review. To overcome this limitation, study develops contextual meaning-based approach that considers meanings features This enables deeper understanding behind target...
Abstract In product design, it is essential to understand customers’ preferences for features. Traditional methods including the survey and interview are time-consuming costly. As an alternative, research on utilizing online data user analysis has been actively conducted. Although various have proposed in this domain, most of them focus main features or usages product. However, from manufacturer’s perspective, sub-features as crucial usages, because preference necessary component...
Abstract Sudden changes in life and work patterns due to COVID-19 have affected customer requirements for the products. Under these circumstances, companies can achieve high profitability satisfaction when they efficiently identify respond quickly changing preferences caused by COVID-19. This article presents empirical research on dynamic responses product features spread of through sentiment analysis based online reviews. A case study is conducted using new refurbished smartphone reviews...
Abstract. This study presents advancements in the processing of satellite remote sensing data, focusing mainly on aerosol optical depth (AOD) retrievals from Geostationary Environment Monitoring Spectrometer (GEMS). The transformation Level-2 (L2) which includes atmospheric-state retrievals, into higher-quality Level-3 (L3) data is crucial sensing. Our contributions lie two novel improvements to algorithm. First, we improve inverse-distance-weighting algorithm by incorporating quality flag...
Abstract Online reviews provide a source to identify customer needs. While many studies have analyzed online during the pandemic, it's worth noting that preference in this period were not conducted within product design context. The societal challenges presented by prolonged COVID-19 spanning nearly three years, significantly impacted all facets of population manner unparalleled recent decades. Therefore, research delves into post-COVID-19 landscape, examining shifts consumer preferences for...
Abstract Recently, many studies on product design have utilized online data for customer analysis. However, most of them treat customers as a group people with the same preferences while segmentation is key strategy in conventional market To supplement this gap, paper proposes new methodology segmentation. First, attributes are extracted from reviews. Then, network constructed based attributes. Finally, partitioned by modularity clustering and resulting clusters analyzed topic frequency. The...
Abstract Since remanufacturing requires additional processes compared to the production process of new products, various factors need be considered. First, it is necessary decide which end-of-life (EoL) product parts/modules use among EoL products available for remanufactured product. At this stage, crucial understand future customer demand and requirements each part. Next, also figure out whether selective disassembly possible disassemble a specific target component without completely...
본 연구는 맞춤형 골프제품 추천 서비스가 요구하는 정보의 양과 소비자의 지식수준이 해당 서비스의 만족도와 향후 사용 의도에 미치는 영향력을 탐구하였다. 2(골프제품 지식수준: 낮은 vs. 높음) x 2 (요구되는 양 : 적음 많음) 실험설계를 통하여 모든 가설을 검증하였다. 골프제품에 대한 경우 골프제품을 추천받는 데 있어 많은 양의 정보를 입력하는 것보다 적은 것이 서비스에 사용의도가 높은 것으로 나타났다. 반면, 만족도가 더 연구의 결과는 정보처리관점에서 효율적인 인터페이스를 개발하는 의미 있는 시사점을 제시할 것이라 기대한다.
시각장애인들의 외부활동은 여전히 자유롭지 못하여, 시각장애인의 이동의 불편함을 해소하고 외부활동 범위를 확대할 수 있는 방안 모색이 시급하다. 본 논문에서는 시각장애인 주변의 상황을 인지하여 음성으로 안내하는 IoT 장치와 길안내 앱을 제안한다. 장치의 초음파 센서를 통해 주변에 물체가 존재하는지를 감지하고 물체의 위치에 따라 다른 경고음을 제공하여 물체 근접정도를 구별한다. 카메라를 입력된 영상은 딥러닝으로 학습된 물체인식 알고리즘에 의해 존재하는 물체를 인식할 있다. 앱은 음성인식, TTS, 큰 아이콘을 사용하여 맞춤형 UI를 제공한다. 목적지까지의 보행자 경로를 찾아 모든 세부경로를 지도에 표시하고 안내하며, 총 보행시간을 계산하여 함께 알려준다.
감정과 같은 자연어 문장의 스타일을 전이하기 위해 해결할 문제는 없애는 중립화와 중립화된 문장에 입히는 작업이다. 기존 연구에서는 적대적 학습을 통해서 잠재 공간에서 중립화를 수행했다. 하지만 이런 방식은 원래의 내용을 유지하면서 전이하는 것에 어려움을 겪는다. 본 논문에서는 공간에서가 아닌 표층 수준에서 띄는 단어를 지우는 것으로 수행하고 지운 단어들을 적절히 전이된 단어로 예측해 복구하는 2단계 언어 스타일 전이 방법을 제안한다. 이를 위해서 자기주의 기반 분류기의 히트맵과 단어 예측기를 활용한다. 제안 모델을 평가하기 Yelp와 Amazon 리뷰 데이터셋, 그리고 Caption 데이터셋을 활용해 실험을 자동 평가와 사람 평가 결과, 모델이 여러 측면에서 비교 모델보다 높은 성능을 보였다.
본 연구에서는 스마트폰, 태블릿 PC를 활용한 스마트러닝 환경에서 기기의 유형 및 모달리티(modality)가 학습자의 주관적인 상호작용경험에 미치는 영향을 실험연구를 통해 검증하였다. 분석 결과, 모달리티는 사회적 실재감 상호작용경험(상호작용경험 평가, 다른 학습자에 대한 태도)에 유의미하게 긍정적인 것으로 나타났다. 스마트 기기 유형의 경우 직접적으로 영향은 없었으나, 모달리티가 미칠 때 조절변인으로서 상호작용효과를 가지는 이러한 연구 결과는 다양한 기기를 학습자 간 상호작용을 증진시킬 수 있는 학습 환경의 설계 원리를 제시한다는 측면에서 시사점을 가진다. Along with the rapid diffusion of smart devices, learning has been taking place as a main pedagogy in education. Under these drastic changing circumstances, social presence and...
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The internal contamination screening method using gross beta measurement was performed for radioisotope workers.24 h and spot urine samples from workers of medical isotope production facilities were collected measured.Most the results similar with background level activity except a specific worker.Gross slightly increased in several hours after finishing work.And environmental factor causing estimated based on results.The additional detailed dose assessment must be followed protection...
Abstract Recently, online user-generated data has emerged as a valuable source for consumer product research. However, most studies have neglected the brand effect, although it is significant factor in conventional market This paper demonstrates importance of brands data-driven design using reviews. Specifically, study utilizes game theory and suggests setting representing competition. Elements are determined based on analysis. The proposed approach consists three stages. first stage divides...