최재원 교수
Jaewon Choi
한양대학교 경영학부 · 공학
연구실 소개
최재원 교수의 연구실은 디지털 기반의 유통 및 제조 기술 분야에서 핵심적인 연구를 수행하고 있습니다. 온라인 쇼핑몰의 개인화 추천 시스템, 소셜 프레SENCE와 신뢰, 재사용 의도 간의 인과관계를 분석하는 데 초점을 맞추며, 마케팅 및 소비자 행동 이론을 기반으로 한 디지털 소비자 경험 향상 전략을 모색하고 있습니다. 또한 레이저 기반 적층 제조 기술(DMD)의 공정 제어 및 물리적 메커니즘 분석을 통해 고성능 금속 부품의 정밀 제조 기술을 개발하고 있습니다. 이는 산업 현장에서의 응용 가능성을 고려한 실용적이고 기술 기반의 연구가 특징입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Providing recommendations is acknowledged to be an important feature of a business-to-consumer online storefront. Although many studies have examined the algorithms and operational procedures relevant to personalized recommender systems, empirical evidence demonstrating relationships between social presence and two important outcomes of evaluating recommender systems—reuse intention and trust—remains lacking. To test the existence of a causal link between social presence and reuse intention, and
Laser aided Directed Material Deposition (DMD) is an additive manufacturing process based on laser cladding. A full understanding of laser cladding is essential in order to achieve a steady state and robust DMD process. A two dimensional mathematical model of laser cladding with droplet injection was developed to understand the influence of fluid flow on the mixing, dilution depth, and deposition dimension, while incorporating melting, solidification, and evaporation phenomena. The fluid flow in
It has become a marketing trend for marketers to use influencers to advertise and sell products because influencers can affect the attitudes and decision-making of other social media users. Most previous research on influencer marketing has concentrated on its effectiveness as a promotional tool. In contrast, there have been limited studies on the influencer-social media user relationship. The relationship that influencers have with other social media users is the foundation for the success of i
The purpose of this study was to predict the online sales volume for organic products, identify important factors for selling organic products, and suggest web marketing strategies for organic product sales. Through the review of organic products on Taobao’s platform, the emotional analysis method is used to divide the review of crawling organic products into positive reviews and negative reviews. Using the Latent Dirichlet Allocation (LDA) method, extracting keywords, identifying important fact
(ProQuest: ... denotes formulae omitted.)1.IntroductionThe emergence of user-based Web services and personalization technologies has allowed many companies to provide personalized content or services to users [Hill and Troshani 2010] and business intelligence [Foshay and Kuziemsky 2014; McBride 2014]. User-based Web services and personalization technologies refer to Web services and technologies that employ personal user information. Rapid improvements in Web, mobile facilities, and services hav
Laser aided direct metal/material deposition process builds metal parts layer-by-layer directly from the computer aided design representation. Success of this technology in the die and tool industry depends on the parts quality to be achieved. To get designed geometric dimensions and material properties, delicate control of the process variables such as laser power, spot diameter, traverse speed, and powder mass flow rate is critical. With a closed loop optical height control system, the dimensi
Laser aided direct metal/material deposition (DMD) process, one of the technologies based on laser cladding, has demonstrated the ability to make a metal component directly from a 3-D CAD model. DMD process is achieved with a laser system combined with a NC machine tool or laser-robot system. Making metallic parts directly, designer can reduce unnecessary steps such as mock-up and molding. In the sense, DMD process is rather a rapid production technique than a rapid prototyping process. With con
We present LpGL, an OpenGL API compatible Low-power Graphics Library for energy efficient AR headset applications. We first characterize the power consumption patterns of a state of the art AR headset, Magic Leap One, and empirically show that its internal GPU is the most impactful and controllable energy consumer. Based on the preliminary studies, we design LpGL so that it uses the device's gaze/head orientation information and geometry data to infer user perception information, intercepts appl
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