• Journal of Mechanical Science and Technology
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• v.19 no.5
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• pp.1080-1086
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• 2005

The preliminary design optimization of multi-stage spur gear reduction units has been a subject of considerable interest, since many high-performance power transmission applications (e.g., automotive and aerospace) require high-performance gear reduction units. There are multiple objectives in the optimal design of multi-stage spur gear reduction unit, such as minimizing the volume and maximizing the surface fatigue life. It is reasonable to formulate the design of spur gear reduction unit as a multi-objective optimization problem, and find an appropriate approach to solve it. In this paper an interactive physical programming approach is developed to place physical programming into an interactive framework in a natural way. Class functions, which are used to represent the designer's preferences on design objectives, are fixed during the interactive physical programming procedure. After a Pareto solution is generated, a preference offset is added into the class function of each objective based on whether the designer would like to improve this objective or sacrifice the objective so as to improve other objectives. The preference offsets are adjusted during the interactive physical programming procedure, and an optimal solution that satisfies the designer's preferences is supposed to be obtained by the end of the procedure. An optimization problem of three-stage spur gear reduction unit is given to illustrate the effectiveness of the proposed approach.

• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.905-914
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• 2005

This paper suggests a healthcare home service system based on the distributed object group framework that can not only provide healthcare application services using the information obtained from the physical healthcare sensors and devices, and but also monitor and control these services remotely. The distributed object group framework supports the object group service, the interaction service between object groups and the real-time service in order to execute the healthcare application. Here object group means the unit of logical grouped objects or healthcare sensors and devices for a service. Our suggested system consists of 3 layers. The first layer presents the physical sensors and devices for healthcare, as a physical layer. The second layer lays the distributed object group framework, and the third layer, the upper's one, implements healthcare applications based on lower layers. With healthcare applications providing for this system, we implemented the location tracking service, the health information service and the titrating environment service. Also the integrated executing results of these services can be monitored and controlled via remote desktop systems or PDAs.

• The Journal of Korean Association of Computer Education
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• v.15 no.4
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• pp.25-39
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• 2012

Smart education is defined as creating new values through connecting educational elements based on smart devices and infrastructure. In the study, we propose a theoretical and procedural framework for developing smart learning activities, which is considered characteristic of smart education, as well as environments in smart schools of Sejong Special Autonomous city. In addition, we discuss an instructional model developed from the framework. A smart learning activity as a basic unit in instruction is represented as a block when design and instruction focuses on smart learning activities. The block consists of components from learning activities, motivation, information activities, and tools when a teacher has smart learning ideas. Based on the theoretical and procedural framework, the thought-sharing model (i.e., that learners share ideas and opinions with classmates, review classmates' work, and enhance their own work) is an instructional model that leads to smart education. We discuss considerations for developing instructional models using the framework.

• The Journal of Society for e-Business Studies
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• v.9 no.2
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• pp.145-161
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• 2004

CBD(Component Based Development) can make use of component of block unit that is implementation beforehand and shorten software development cost and time. Also, component can reduce complexity for the large application development because it can hide detail part of internal and offer interface. Common requirement of family in the enterprise framework environment can express workflow, but it is very difficult that express special workflow in single component on various family member's requirement. Therefore, necessity about workflow variability management between component for family member and implementation method had been required constantly This treatise presents implementation techniques for component workflow variability in enterprise framework under .NET base. Presented component workflow variability implementation techniques supposes that commonness business workflow that family can use in enterprise workflow was created already in component, and improve workflow's extensity between component by workflow composition between special component and techniques for practice to various family member.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.1023-1030
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• 2005

CBD(Component Based Development) can make use of component of block unit that is implementation beforehand and shorten software development cost and time. Also, component can reduce complexity for the large application development because it can hide detail part of internal and offer interface. Common requirement of family in the enterprise framework environment can express workflow, but it is very difficult that express special workflow in single component on various family member's requirement. Therefore, necessity about workflow variability management between component for family member and implementation method had been required constantly. This treatise presents implementation techniques for component workflow variability in enterprise framework under Banking Loan Presented component workflow variability implementation techniques supposes that commonness business workflow that family can use in enterprise workflow was created already in component, and improve workflow's extensity between component by worikflow composition between special component and techniques for practice to various family member.

• Journal of Electrical Engineering and Technology
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• v.12 no.5
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• pp.1709-1718
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• 2017

This paper presents a hybrid stochastic deterministic multi-timescale scheduling (SDMS) approach for generation scheduling of a power grid. SDMS considers flexible resource options including conventional generation flexibility in a chance-constrained day-ahead scheduling optimization (DASO). The prime objective of the DASO is the minimization of the daily production cost in power systems with high penetration scenarios of variable generation. Furthermore, energy storage is scheduled in an hourly-ahead deterministic real-time scheduling optimization (RTSO). DASO simulation results are used as the base starting-point values in the hour-ahead online rolling RTSO with a 15-minute time interval. RTSO considers energy storage as another source of grid flexibility, to balance out the deviation between predicted and actual net load demand values. Numerical simulations, on the IEEE RTS test system with high wind penetration levels, indicate the effectiveness of the proposed SDMS framework for managing the grid flexibility to meet the net load demand, in both day-ahead and real-time timescales. Results also highlight the adequacy of the framework to adjust the scheduling, in real-time, to cope with large prediction errors of wind forecasting.

• Journal of the Korea Safety Management & Science
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• v.12 no.1
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• pp.189-198
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• 2010

This study is aimed at proposing the framework of international cooperation business in HRD KOREA. To achieve this goal I collected all of data that were used in process of international cooperation business in HRD KOREA and interviewed some people to get information from the people concerned. After that I analyzed data involved in using SWOT technique and proposed the framework of international cooperation business in HRD KOREA. The conclusions are as these. First, alliances must be vitalized between businesses besides between organizations. For example 'Developing of voluntary comeback program for foreigner' and 'Establishment of HRD KOREA Center' can be proposed as action plans for this strategy. Second, glocalization must be pushed ahead. For example 'Business career monitoring system for PMC' can be proposed as action plan. Third, building of preemptive base must be done. For example 'Standing of international HRD forum' can be proposed as action plan. Fourth, reinforcement of organizational competency must be done. For example 'The program for internationalization' can be proposed as action plan. Fifth, SBU(Strategic Business Unit) must be pushed ahead. For example 'Customer diversification portfolio' can be proposed as action plan.

• Journal of Korea Water Resources Association
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• v.45 no.6
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• pp.597-606
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• 2012

With the availability of multi-scale hydrologic data in public domain depending on DEM size, there is a need for a modeling framework that is capable of using these data to simulate hydrologic processes at multiple scales for different topographic and climate conditions for distributed hydrologic model. To address this need, an object-oriented approach, called Geographic and Hydrologic Information System Modeling Objects (GHISMO), is developed. Main hydrologic approaches in GHISMO are storage-release for direct runoff and SCS curve number method for infiltration part. This paper presents conceptual and structural framework of storage-release concept including its application to two watersheds will be presented.

• ETRI Journal
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• v.37 no.6
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• pp.1199-1210
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• 2015

Automatic emotion recognition based on facial cues, such as facial action units (AUs), has received huge attention in the last decade due to its wide variety of applications. Current computer-based automated two-phase facial emotion recognition procedures first detect AUs from input images and then infer target emotions from the detected AUs. However, more robust AU detection and AU-to-emotion mapping methods are required to deal with the error accumulation problem inherent in the multiphase scheme. Motivated by our key observation that a single AU detector does not perform equally well for all AUs, we propose a novel two-phase facial emotion recognition framework, where the presence of AUs is detected by group decisions of multiple AU detectors and a target emotion is inferred from the combined AU detection decisions. Our emotion recognition framework consists of three major components - multiple AU detection, AU detection fusion, and AU-to-emotion mapping. The experimental results on two real-world face databases demonstrate an improved performance over the previous two-phase method using a single AU detector in terms of both AU detection accuracy and correct emotion recognition rate.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.6
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• pp.422-433
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• 2015

In this paper, we demonstrate inter-layer prediction tools for scalable video coders. The proposed scalable coder is designed to support not only spatial, quality and temporal scalabilities, but also view scalability. In addition, we propose quad-tree inter-layer prediction tools to improve coding efficiency at enhancement layers. The proposed inter-layer prediction tools generate texture prediction signal with exploiting texture, syntaxes, and residual information from a reference layer. Furthermore, the tools can be used with inter and intra prediction blocks within a large coding unit. The proposed framework guarantees the rate distortion performance for a base layer because it does not have any compulsion such as constraint intra prediction. According to experiments, the framework supports the spatial scalable functionality with about 18.6%, 18.5% and 25.2% overhead bits against to the single layer coding. The proposed inter-layer prediction tool in multi-loop decoding design framework enables to achieve coding gains of 14.0%, 5.1%, and 12.1% in BD-Bitrate at the enhancement layer, compared to a single layer HEVC for all-intra, low-delay, and random access cases, respectively. For the single-loop decoding design, the proposed quad-tree inter-layer prediction can achieve 14.0%, 3.7%, and 9.8% bit saving.