• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.7
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• pp.859-866
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• 2010

In this study, microinjection molding process using the newly developed micromold system, namely modularized and sectioned micromold system (MSMS), has been carried out for a replication of multi-level microstructures. The present MSMS consisted of several micromold modules, each having cross-sectional microstructures on the top surface. The micromold modules were precisely fabricated by deep X-ray lithography and subsequent nickel electroforming. By assembling the micromold modules, an MSMS having multi-level microstructures, which could be used as a mold system in micromolding processes, was obtained. In this manner, polymeric multi-level microstructures, such as the triangular prism microstructures on a stepped surface, were successfully replicated by the microinjection molding process.

• International Journal of Aeronautical and Space Sciences
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• v.9 no.2
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• pp.121-128
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• 2008

Modularized GPS software defined radio (SDR) has many advantages of applying and modifying algorithm. Hardware based GPS receiver uses many hardware parts (such as RF front, correlators, CPU and other peripherals) that process tracked signal and navigation data to calculate user position, while SDR uses software modules, which run on general purpose CPU platform or embedded DSP. SDR does not have to change hardware part and is not limited by hardware capability when new processing algorithm is applied. The weakness of SDR is that software correlation takes lots of processing time. However, in these days the evolution of processing power of MPU and DSP leads the competitiveness of SDR against the hardware GPS receiver. This paper shows a study of modulization of GPS software platform and it presents development of the GNSS software platform using MATLAB Simulink™. We focus on post processing SDR platform which is usually adapted in research area. The main functions of SDR are GPS signal acquisition, signal tracking, decoding navigation data and calculating stand alone user position from stored data that was down converted and sampled intermediate frequency (IF) data. Each module of SDR platform is categorized by function for applicability for applying for other frequency and GPS signal easily. The developed software platform is tested using stored data which is down-converted and sampled IF data file. The test results present that the software platform calculates user position properly.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.186-193
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• 2008

The SPS, Strut as a Permanent System, method is widely adopted for the main structural member in addition to temporary strut function for the shuttering of excavation work. Although the SPS method has contributed to cost saving, time reduction, enhancement of structural stability, improvement of construction environment and so on at the building construction site, it caused the problems of increase of basement height and additional work for fire protection of steel structure. The increase of basement height caused the increase of shuttering depth and excavation, and the fire protection caused the additional cost as well as the deterioration of construction environment. In order to improve the problems, this paper is to propose a modularized hybrid structural system(HSD). The detail of the system is introduced and the structural performance and constructibility are proved through the experiment and site application.

• Journal of The Korean Society For Urban Railway
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• v.6 no.4
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• pp.299-307
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• 2018

Automatic announcement systems and emergency lights are necessary to prevent urban railway vehicles from accident, according to the emergency response guideline of domestic railroad. When emergency situation occurs, safety regulations and standards for urban railway vehicles specify that the emergency lights must be turn-on over 30 minutes as well as that the announcement should be provided by an attendant. However, as the current emergency systems use different units without a standard and system maintenance and management is not well performed, it is difficult to know the operation status. In this paper, modularized structures are given to standardize the emergency systems. The modularized structures analyzed from emergency scenarios of railway can substitute the existing broadcasting and lighting system. As a result, the optimized modular system considering cost and maintenance can be proposed by comparing all modularizations.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.1
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• pp.113-121
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• 2010

The system specification is a system theory based formal representation method for systems' structure and behavior modeling. When we make use of the system specification method in each step of software development, we can derive a hierarchical and modularized system design which enables us to manage the software development process flexibly. This research presents system specification based design of a mobile alarm system which sends alerts about illegal usage of private information and manages the response against the each alert. In our design of mobile alarm system, there are formal definition of alert message overcoming the functional limitation of mobile device and hierarchical modularized modeling of alarm processing using system specification. The efficiency of making use of the system specification is shown by applying the specification method to implementation of mobile alarm system. The contribution of this work is in design and implementation of mobile alarm system which enables us to handle the private information leakage situation more flexible way using system specification based software designing method.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.12
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• pp.1264-1270
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• 2004

In this paper, a standard robot design methodology is suggested and a software architecture for modular robot is introduced. The robot is modularized by several functions, and the module is produced according to a standard proposal. Each module requires standard interface for communicate in distributed environments. Software architecture was developed to support distributed component environment, and application development support tools are developed for user convenience. Many robot softwares are developed in a library form so that, they are being used widely robot application software development. Also a device driver was developed for the mostly used sensor and actuator. It is verified that the modular robot can be applied in various fields through guide, errand and guard scenario.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1449-1454
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• 2003

For many industrial processes there are good static models used for process design and steady state operation. By using system identification techniques, it is possible to obtain black-box models with reasonable complexity that describe the system well in specific operating conditions [1]. But black-box models using inductive modeling(IM) is not suitable for model based control because they are only valid for specific operating conditions. Thus we need to use deductive modeling(DM) for a wide operating range. Furthermore, deductive modeling is several merits: First, the model is possible to be modularized. Second, we can increase and decrease the model complexity. Finally, we are able to use model for plant design. Power plant must be able to operate well at dramatic load change and consider safety and efficiency. This paper proposes a simplified nonlinear model of an industrial boiler, one of component parts of a power plant, by DM method and applies optimal control to the model.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2039-2044
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• 2003

The advanced infrastructure for accelerating the development of personal robots is presented. Based on this structure, effective ways for integrating the various commercial components and interfacing among them are studied. The infrastructure includes the technology such as modularization based on independent processing and standardization open to other developers. The infrastructure supports not only that each hardware component of a personal robot can be easily attached to and detached from the whole system mechanically but also that each software of the components can be functionally distributed. As a result, we developed the fully modularized personal robots mechanically, and a virtual machine for the control of these robots. In this paper the proposed infrastructure and its implementations are described.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1021-1024
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• 2004

During demonstrations of a process conditioning spent nuclear fuels, it may be necessary to transport modularized parts of process equipment out of a hot cell because of modules' failure or completion of demonstrations. It may be not easy to transport modules because modules will be contaminated. For this purpose, we have developed a prototype of a device transporting radioactive contaminated materials. We have analyzed conditions of a hot cell and requirements of the device, designed and manufactured a scaled-down prototype of the device, and done some performance tests such as running on the rail, running on the flat floor, and carrying capability of a sliding upper part. From the tests, it has been shown that running on the rail and floor was smooth but the sliding part was deflected if the sliding distance was long. These result will be reflected to a design of the improved transporting device which will be used during demonstrations.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.10-13
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• 2001

Nonlinear Function Approximation of Moduled Neural Network Using Genetic Algorithm Neural Network consists of neuron and synapse. Synapse memorize last pattern and study new pattern. When Neural Network learn new pattern, it tend to forget previously learned pattern. This phenomenon is called to catastrophic inference or catastrophic forgetting. To overcome this phenomenon, Neural Network must be modularized. In this paper, we propose Moduled Neural Network. Modular Neural Network consists of two Neural Network. Each Network individually study different pattern and their outputs is finally summed by net function. Sometimes Neural Network don't find global minimum, but find local minimum. To find global minimum we use Genetic Algorithm.