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A function-based user authority delegation model
Lee, M.,Cho, N.D.,Gatton, T.M. North-Holland [etc ; Elsevier Science Ltd 2010 Information sciences Vol.180 No.5
User authority delegation is granting or withdrawing access to computer-based information by entities that own and/or control that information. These entities must consider who should be granted access to specific information in the organization and determine reasonable authority delegation. Role Based Access Control (RBAC) delegation management, where user access authority is granted for the minimum resources necessary for users to perform their tasks, is not suitable for the actual working environment of an organization. Currently, RBAC implementations cannot correctly model inheritance and rules for different delegations are in conflict. Further, these systems require that user roles, positions, and information access be continuously and accurately updated, resulting in a manual, error-prone access delegation system. This paper presents a proposal for a new authority delegation model, which allows users to identify their own function-based delegation requirements as the initial input to the RBAC process. The conditions for delegations are identified and functions to implement these delegations are defined. The criteria for basic authority delegation, authentication and constraints are quantified and formulated for evaluation. An analysis of the proposed model is presented showing that this approach both minimizes errors in delegating authority and is more suitable for authority delegation administration in real organizational applications.
DEVELOPMENT OF A NEW MISFIRE DETECTION SYSTEM USING NEURAL NETWORK
Lee, M.,Yoon, M.,SunWoo, M.,Park, S.,Lee, K. The Korean Society of Automotive Engineers 2006 International journal of automotive technology Vol.7 No.5
The detection of engine misfire events is one of major concerns in engine control due to its negative effect on air pollution and engine performance. In this paper, a misfire detection system based on crankshaft angular speed fluctuation is developed. Synthetic variable method is adopted for the preprocessing of crankshaft angular speed. This method successfully estimates the work output of each cylinder by finding the effect of combustion energy on the crankshaft rotational speed or acceleration after virtually removing the effect of the internal inertia forces from the measured crankshaft speed signals. The detection system is developed using neural network with the revised synthetic angular acceleration as input which is derived from the preprocessing. Mathematical simulation is carried out for developing and verifying the misfire detection system. Finally, the reliability of the developed system is validated through an experiment.
Lee, M.,Oh, S.,SunWoo, M. 한국자동차공학회 2011 International journal of automotive technology Vol.12 No.5
For several decades, the primary goal of the automotive industry has been to reduce harmful emissions and improve fuel economy. Gasoline engines are clean and powerful propulsion systems, but have poorer fuel economy than that of diesel engines. However, due to the development of new technologies such as variable valve timing and lift and direct gasoline injection, controlled autoignition (CAI) combustion can be realized. CAI engines combine the advantages of cleaner emissions and lower fuel consumption than conventional spark-ignition gasoline engines. In this study, a cylinder-pressure-based combustion phase detection method for CAI combustion is proposed. This method utilizes a normalized difference pressure (NDP), which is defined as the normalized pressure difference between the firing and motoring in-cylinder pressures. The proposed method was developed and validated with steady-state experimental data from an inline 4 cylinder, 2 L gasoline direct injection (GDI) CAI engine. Because the calculations in the NDP method are faster and simpler than in the conventional combustion phase detection method in CAI engines, this method can be embedded in a real-time controller. Furthermore, the proposed method displayed good accuracy in detecting the combustion phase and thus stabilized CAI combustion. Finally, the detailed experimental results are presented.
Lee, M.,Won, Y.,Shin, Y.,Kim, J.H.,Chun, J.S. Published for the Society by Baillère Tinda 2016 Osteoarthritis and Cartilage Vol.24 No.1
<P>Objective: Hypoxia-inducible factor (HIF)-2 alpha and the zinc-ZIP8-MTF1 axis in chondrocytes serve as catabolic regulators of osteoarthritic cartilage destruction by regulating the expression of catabolic factor genes. We explored possible crosstalk between these signaling pathways and its biological significance in osteoarthritis (OA). Methods: Microarray analysis, various mRNA and protein assays were conducted using primary cultured mouse articular chondrocytes and experimental OA cartilage to reveal molecular mechanisms underlying the crosstalk between HIF-2 alpha and the zinc-ZIP8-MTF1 axis. Experimental OA in mice was induced by intra-articular (IA) injection of adenovirus expressing HIF-2 alpha (Ad-Epas1), ZIP8 (Ad-Zip8), or MTF1 (Ad-Mtf1) in wild-type mice or mice with cartilage-specific conditional knockout of HIF-2 alpha (Epas1(fl/fl); Col2a1-Cre), ZIP8 (Zip8(fl/fl); Col2a1-Cre), or MTF1 (Mtf1(fl/fl); Col2a1-Cre). Results: HIF-2 alpha activated the zinc-ZIP8-MTF1 axis in chondrocytes by upregulating the Zn2+ transporter ZIP8, thereby increasing Zn2+ influx and activating the downstream transcription factor MTF1. The zinc-ZIP8-MTF1 axis, in turn, acted as a novel transcriptional regulator of HIF-2 alpha. HIF-2 alpha-induced activation of the zinc-ZIP8-MTF1 axis amplified HIF-2 alpha regulation of OA cartilage destruction by synergistically promoting expression of matrix-degrading enzymes. Thus, HIF-2 alpha-induced activation of the zinc-ZIP8-MTF1 axis, together with zinc-ZIP8-MTF1 regulation of HIF-2 alpha, acted collectively to synergistically promote expression of matrix-degrading enzymes and OA cartilage destruction. Conclusion: Our findings identify a reciprocal activation mechanism involving HIF-2 alpha and the zinc-ZIP8-MTF1 axis during OA pathogenesis that amplifies catabolic signaling and cartilage destruction. (C) 2015 The Authors. Published by Elsevier Ltd and Osteoarthritis Research Society International.</P>
Multi-electron redox phenazine for ready-to-charge organic batteries
Lee, M.,Hong, J.,Lee, B.,Ku, K.,Lee, S.,Park, C.,Kang, K. unknown 2017 Green Chemistry Vol. No.
<P>Organic redox compounds represent an emerging class of cathode materials in rechargeable batteries for low-cost and sustainable energy storage. However, the low operating voltage (<3 V) and necessity of using lithium-containing anodes have significantly limited their practical applicability to battery systems. Here, we introduce a new class of p-type organic redox centers based on N,N'-substituted phenazine (NSPZ) to build ready-to-charge organic batteries. In the absence of lithium-containing anodes, NSPZ cathodes facilitate reversible two-electron transfer at 3.7 and 3.1 V accompanying anion association, which results in a specific energy of 622 Wh kg(-1) in dual-ion batteries.</P>
Lee, M.,Lee, S. Elsevier 2017 Technological forecasting social change Vol.119 No.-
This study aims to analyze the position of technology-centered companies in complex market dynamics and discover new business opportunities from competitor intelligence. For this, we consider both technology and market characteristics in providing competitor intelligence by utilizing patent data as a representative proxy for a firm's technology, and trademark data as an information source for the firm's target goods and services. To analyze the two types of data, a collaborative filtering approach together with portfolio analyses and association mining techniques were adopted. Theoretically, this is one of the earliest attempts to combine patent data and trademark data to investigate corporate strategies. In practice, the research results are expected to be used as a decision criterion to diagnose the economic value that companies can obtain by entering the market, as well as the technological value to be passed onto their customers. Thus, the proposed approach can be useful to support effective technology and business strategies in a firm.