• Proceedings of the KIPE Conference
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• 2006.06a
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• pp.481-484
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• 2006

A electric power conversion system in a pumped storage power plant is important equipment for converting electric motor kinetic energy into electric power. A electric power conversion monitoring system consists of high voltage thyristor firing equipment, fault detection module, data gathering module, real time data processing equipment and man machine interface system. This paper describes electric power conversion system overview, the developed SFC monitoring system configuration including system characteristics, and successful application result to San-Cheong pumped storage power plant.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.447-447
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• 2000

This paper proposes an Object-oriented model for Generic Equipment Model(GEM) which is applied to semiconductor processing Equipment. A proposed implementation model for GEM consists of three modules : a module to convert SECS-II message and a module to transmit messages between GEM and a physical equipment. The proposed Object-oriented model for GEM has advantages in reuse and user management from the point of view of development program. Especially, this paper proposes a GEM agent COM, which is a base of GEM, transmits messages and events among modules. This Object-oriented model is analysed and developed by using UML.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.19-20
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• 2016

Domestic construction industry has experienced many difficulties as it has been on a downward. It's a way that active modular structure market to solve this problem. However, as Modular structure technical standard in Korea is in the early stages, our modular factory maufactured rate is almost 40% lower than overseas. Besides, there is less design diversity so it just applies for a few buildings like low-rise building and general group barrackes. To deal with these problems, it is essential to modulating the equipment which can improve the production rate. This will help to ensure the quality, shortening of the construction period, the reduction of labor costs. We have defined the name of segmented by each installation location of the equipment to modulating equipment. And it was examined the suitability of the modulating of the location-specific utility system. The results of the analysis are discussed on the page.

• Journal of the Korean Society of Safety
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• v.24 no.6
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• pp.7-12
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• 2009

This study focuses on the classification of fire equipments for certification based on the risk evaluation. In general, known statistics on fire equipment-related accidents needs to be used for risk evaluation. When statistics is not available, however, expected frequency and severity of accident for individual equipment can be taken into account in evaluating the related risks. Based on the level of inherent risks, each equipment is then classified into three categories for certification. For equipments that risk evaluation is not possible, characteristics of those products such as reliability are considered for classification. Once classified, each equipment is assigned an appropriate certification module.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.290-290
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• 2000

This paper presents some ideas about an open architectural controller platform for semiconductor manufacturing equipment First, we proposed modular-typed software architecture. Each module is composed of commands and status sets. Second, common bus protocol is suggested in order to communicate with other modules. It is designed with visual c++ programming. Finally, job program is consisted of simple commands and status. Consequently, Controllers are easily developed with some required modular assembling.

• Journal of the Korean Society of Systems Engineering
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• v.14 no.2
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• pp.73-82
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• 2018

In this work, a hardware based cryptographic module for the cyber security of nuclear power plant is developed using a system engineering approach. Nuclear power plants are isolated from the Internet, but as shown in the case of Iran, Man-in-the-middle attacks (MITM) could be a threat to the safety of the nuclear facilities. This FPGA-based module does not have an operating system and it provides protection as a firewall and mitigates the cyber threats. The encryption equipment consists of an encryption module, a decryption module, and interfaces for communication between modules and systems. The Advanced Encryption Standard (AES)-128, which is formally approved as top level by U.S. National Security Agency for cryptographic algorithms, is adopted. The development of the cyber security module is implemented in two main phases: reverse engineering and re-engineering. In the reverse engineering phase, the cyber security plan and system requirements are analyzed, and the AES algorithm is decomposed into functional units. In the re-engineering phase, we model the logical architecture using Vitech CORE9 software and simulate it with the Enhanced Functional Flow Block Diagram (EFFBD), which confirms the performance improvements of the hardware-based cryptographic module as compared to software based cryptography. Following this, the Hardware description language (HDL) code is developed and tested to verify the integrity of the code. Then, the developed code is implemented on the FPGA and connected to the personal computer through Recommended Standard (RS)-232 communication to perform validation of the developed component. For the future work, the developed FPGA based encryption equipment will be verified and validated in its expected operating environment by connecting it to the Advanced power reactor (APR)-1400 simulator.

• JSTS:Journal of Semiconductor Technology and Science
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• v.14 no.2
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• pp.252-261
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• 2014

A Bayesian network (BN) based fault diagnosis framework for semiconductor etching equipment is presented. Suggested framework contains data preprocessing, data synchronization, time series modeling, and BN inference, and the established BNs show the cause and effect relationship in the equipment module level. Statistically significant state variable identification (SVID) data of etch equipment are preselected using principal component analysis (PCA) and derivative dynamic time warping (DDTW) is employed for data synchronization. Elman's recurrent neural networks (ERNNs) for individual SVID parameters are constructed, and the predicted errors of ERNNs are then used for assigning prior conditional probability in BN inference of the fault diagnosis. For the demonstration of the proposed methodology, 300 mm etch equipment model is reconstructed in subsystem levels, and several fault diagnosis scenarios are considered. BNs for the equipment fault diagnosis consists of three layers of nodes, such as root cause (RC), module (M), and data parameter (DP), and the constructed BN illustrates how the observed fault is related with possible root causes. Four out of five different types of fault scenarios are successfully diagnosed with the proposed inference methodology.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.4
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• pp.109-115
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• 2005

In the study, Methods for operating measures in equipment security to find out dangerousness timely in the system and to need for the prevention and measures. The method for analyzing and reconstructing the causes of accident of equipment in site, and try to save the information of site in real-time and to analyze the state of equipment to look for the factors of accidents. By this analysis, one plan for efficiency of production, Equipment Fault Diagnosis Management and security is integrating and building module of using the Fuzzy Inference based on fuzzy theory. The case study is applied to the industrial electric motors that are necessarily used to all manufacturing equipment. Using the sensor for temperature is attached to gain the site information in real time and to design the hardware module for signal processing. In software, realize the system supervising and automatically saving to management data base by the algorithm based in fuzzy theory from the existing manual input system

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.3
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• pp.49-55
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• 2022

The design of a battery package and a BMS module for applications using seawater rechargeable batteries, which are known as next-generation energy storage devices, is proposed herein. Seawater rechargeable batteries, which are currently in the initial stage of research, comprise primarily components such as anode and cathode materials. Their application is challenging owing to their low charge capacity and limited charge/discharge voltage and current. Therefore, we design a method for packaging multiple cells and a BMS module for the safe charging and discharging of seawater rechargeable batteries. In addition, a prototype seawater rechargeable battery package and BMS module are manufactured, and their performances are verified by evaluating the prevention of overcharge, overdischarge, overcurrent, and short circuit during charging and discharging.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.16-29
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• 2009

This paper investigates the kinematic and dynamic analysis of a spherical three degree of freedom parallel joint module, which is used in the exercise equipment for balance and leg-strength improvement of aged people. The joint module has three dyads which consist of two links and three revolute joints, and their all joints intersect at the global point located at the module's center. The paper shows the explicit mathematical procedure for deriving the closed form solutions in the inverse and forward position analysis of this parallel joint module. In velocity and acceleration analysis, we derived relations for joint velocities and accelerations of dyads and rotational velocity and acceleration of the top plate. For applying this module to rehabilitation exercise, we determined the dynamic model of the Korean males in their 50s and examined the model's results by dynamic model simulation.