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In the age of knowledge-based economies, open innovation has increasing importance. This study aimed to explore the architectural design approaches that can revitalize innovation activities in the era of knowledge-based economies. This paper investigated global case research campuses, manufacturing systems, and innovation districts where architectural design supports innovation activities. This study developed a research framework of architectural design for innovation and applied it in the selected case studies to generate insights. First, the research campuses selected as case studies included Panopticon, DGIST Education and Research Campuses, and Apple Park. Second, the open innovation of manufacturing system architecture was analyzed through the case studies of the Ford Motor Company, Toyota Motor Corporation, and Rolls-Royce Motor Cars. Third, this paper studied the clustered open innovation architectures of Macquarie Park, One North, and Strijp-S Innovation Districts. The findings revealed how tacit knowledge motivates open innovation through the design of manufacturing systems, research campuses, and innovation districts through real examples and mathematical or concept model building.
JinHyo Joseph Yun; Xiaofei Zhao; Tan Yigitcanlar; DooSeok Lee; Heungju Ahn. Architectural Design and Open Innovation Symbiosis: Insights from Research Campuses, Manufacturing Systems, and Innovation Districts. Sustainability 2018, 10, 4495 .
AMA StyleJinHyo Joseph Yun, Xiaofei Zhao, Tan Yigitcanlar, DooSeok Lee, Heungju Ahn. Architectural Design and Open Innovation Symbiosis: Insights from Research Campuses, Manufacturing Systems, and Innovation Districts. Sustainability. 2018; 10 (12):4495.
Chicago/Turabian StyleJinHyo Joseph Yun; Xiaofei Zhao; Tan Yigitcanlar; DooSeok Lee; Heungju Ahn. 2018. "Architectural Design and Open Innovation Symbiosis: Insights from Research Campuses, Manufacturing Systems, and Innovation Districts." Sustainability 10, no. 12: 4495.
This paper proposes a real-time local positioning system (RT-LPs) utilizing a mobile platform equipped with three anchor nodes placed in a right-angle triangle formation for a real-time locating system (RTLS). After deriving an analytic formula to calculate the target position utilizing the measured distances among anchor nodes and the target node, we find that four parameters have an effect on the position error of the target node. The spacing between anchors is a design parameter that must be large enough to the reduce position error. However, the distance from the anchor node to the target node is an operation parameter that must be small enough to reduce the position error. Additionally, the measured ranges among the anchors and the target node have probabilistic distributions with a mean and variance, which are dominant parameters that have effects on the position error. A comparison study was conducted to determine the effects of the parameters of the target position in both a simulation and an experiment, showing rates of approximately 4% ~ 10%. These findings indicate that our simulation can work properly with the proposed method after assuming that the distance error is a Gaussian model.
Sang C. Lee; Syamsul Rizal; Heungju Ahn. Analysis of the Position Estimation Error of a Local Positioning System utilizing Mobile Anchors. 2018, 1 .
AMA StyleSang C. Lee, Syamsul Rizal, Heungju Ahn. Analysis of the Position Estimation Error of a Local Positioning System utilizing Mobile Anchors. . 2018; ():1.
Chicago/Turabian StyleSang C. Lee; Syamsul Rizal; Heungju Ahn. 2018. "Analysis of the Position Estimation Error of a Local Positioning System utilizing Mobile Anchors." , no. : 1.
What do we need for sustainable artificial intelligence that is not harmful but beneficial human life? This paper builds up the interaction model between direct and autonomous learning from the human’s cognitive learning process and firms’ open innovation process. It conceptually establishes a direct and autonomous learning interaction model. The key factor of this model is that the process to respond to entries from external environments through interactions between autonomous learning and direct learning as well as to rearrange internal knowledge is incessant. When autonomous learning happens, the units of knowledge determinations that arise from indirect learning are separated. They induce not only broad autonomous learning made through the horizontal combinations that surpass the combinations that occurred in direct learning but also in-depth autonomous learning made through vertical combinations that appear so that new knowledge is added. The core of the interaction model between direct and autonomous learning is the variability of the boundary between proven knowledge and hypothetical knowledge, limitations in knowledge accumulation, as well as complementarity and conflict between direct and autonomous learning. Therefore, these should be considered when introducing the interaction model between direct and autonomous learning into navigations, cleaning robots, search engines, etc. In addition, we should consider the relationship between direct learning and autonomous learning when building up open innovation strategies and policies.
JinHyo Joseph Yun; DooSeok Lee; Heungju Ahn; KyungBae Park; Tan Yigitcanlar. Not Deep Learning but Autonomous Learning of Open Innovation for Sustainable Artificial Intelligence. Sustainability 2016, 8, 797 .
AMA StyleJinHyo Joseph Yun, DooSeok Lee, Heungju Ahn, KyungBae Park, Tan Yigitcanlar. Not Deep Learning but Autonomous Learning of Open Innovation for Sustainable Artificial Intelligence. Sustainability. 2016; 8 (8):797.
Chicago/Turabian StyleJinHyo Joseph Yun; DooSeok Lee; Heungju Ahn; KyungBae Park; Tan Yigitcanlar. 2016. "Not Deep Learning but Autonomous Learning of Open Innovation for Sustainable Artificial Intelligence." Sustainability 8, no. 8: 797.
Given a system of vector fields on a smooth manifold that spans a plane field of constant rank, we present a systematic method and an algorithm to find submanifolds that are invariant under the flows of the vector fields. We present examples of partition into invariant submanifolds, which further gives partition into orbits. We use the method of generalized Frobenius theorem by means of exterior differential systems.
Heungju Ahn; Chongkyu Han. Invariant submanifolds for systems of vector fields of constant rank. Science China Mathematics 2016, 59, 1417 -1426.
AMA StyleHeungju Ahn, Chongkyu Han. Invariant submanifolds for systems of vector fields of constant rank. Science China Mathematics. 2016; 59 (7):1417-1426.
Chicago/Turabian StyleHeungju Ahn; Chongkyu Han. 2016. "Invariant submanifolds for systems of vector fields of constant rank." Science China Mathematics 59, no. 7: 1417-1426.