Seoul National University · Computer Science
Professor Jooyoung Park's research lab specializes in sustainable systems engineering, focusing on material flow analysis, life cycle assessment, and circular economy policy evaluation. The lab conducts national-scale, data-driven studies to quantify plastic and water system dynamics, greenhouse gas emissions, and public investment in circular economy initiatives. By developing standardized classification frameworks and dynamic modeling tools, the lab supports evidence-based policymaking for net-zero and resource-efficient societies. Current research emphasizes the integration of industrial ecology with environmental policy to advance circular and low-carbon transitions.
Figures are computed from collected data and may differ slightly.
This paper concerns conditions for the approximation of functions in certain general spaces using radial-basis-function networks. It has been shown in recent papers that certain classes of radial-basis-function networks are broad enough for universal approximation. In this paper these results are considerably extended and sharpened.
This study investigates the relationship between the COVID-19 threat and consumer evaluation of a product with authenticity appeals in advertisements. We propose that threatening situations like COVID-19 motivate consumers to lower their uncertainty and increase their preference for products with authentic advertising messages. Because individuals react differently to threatening environments according to their early-life experiences, commonly reflected in childhood socioeconomic status, we exam
Industrial symbiosis refers to a collaborative strategy of exchanging physical resources and sharing services among industrial actors, which enhances the resource efficiency and reduces the environmental impacts of industrial operations within the network. Although it can contribute to sustainable development in emerging economies, few studies have examined the dynamics of industrial symbiosis in such regions. We initiated a capacity-building pilot program for industrial symbiosis in Colombia an
The support vector data description (SVDD) is one of the best-known one-class support vector learning methods, in which one tries the strategy of using balls defined on the feature space in order to distinguish a set of normal data from all other possible abnormal objects. The major concern of this letter is to extend the main idea of SVDD to pattern denoising. Combining the geodesic projection to the spherical decision boundary resulting from the SVDD, together with solving the preimage problem
Abstract This study investigates the influence of brand personality on consumer loyalty and the moderating role of relative brand identification for multiple brands in the same product category. Survey data were collected from 1,651 respondents in the United Kingdom, France, and Germany. Results indicate that dimensions of brand personality that are positively associated with consumer brand loyalty vary across brands in the mobile phone category. Furthermore, relative brand identification not on
Recently, wearable devices have become a prominent health care application domain by incorporating a growing number of sensors and adopting smart machine learning technologies. One closely related topic is the strategy of combining the wearable device technology with skill assessment, which can be used in wearable device apps for coaching and/or personal training. Particularly pertinent to skill assessment based on high-dimensional time series data from wearable sensors is classifying whether a
국내에서의 재배 및 소비가 증가하고 있는 삼채의 식품학적 특성을 확인하고자 삼채의 주요 수입국인 미얀마에서 재배된 삼채와 영양성 및 화학적 특성을 비교하였다. 조회분, 조지방 및 탄수화물의 함량은 국내에서 재배된 삼채뿌리가 더 높게 나타났으며, 조단백질과 조섬유의 함량은 미얀마에서 재배된 삼채뿌리가 더 높게 나타났다. 삼채뿌리의 유기산과 유리당 함량 모두 국내에서 재배된 삼채뿌리가 미얀마에서 재배된 삼채뿌리에 비해 높은 함량을 나타내었다. 유리아미노산 함량은 국내 및 미얀마에서 재배된 삼채뿌리 모두 arginine의 함량이 가장 높았으며, 필수 및 비필수아미노산과 총 유리아미노산 함량은 미얀마에서 재배된 삼채뿌리에 비해 국내에서 재배된 삼채뿌리가 더 높은 함량을 나타냈다. 삼채뿌리에는 총 11가지의 무기질이 함유되어 있었으며, 이중 칼륨(K), 마그네슘(Mg), 칼슘(Ca)의 함량이 대부분을 차지하였고, 국내에서 재배된 삼채뿌리가 미얀마에서 재배된 삼채뿌리에 비해 높은 무기질 함량을
Abstract This article examines the relationship between goal progress and construal level and its influence on subsequent goal pursuit. Using action identification theory, we hypothesized that greater perceived goal progress leads to higher‐level construals and that the fit between goal progress and goal construal is more likely to enhance self‐regulation than non‐fit. Our findings indicate that, compared with lesser perceived goal progress, greater perceived goal progress induces higher‐level c
Open papers in the app to read, cite, and organize with AI.