• Journal of Power Electronics
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• v.18 no.2
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• pp.558-572
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• 2018

In addition to its modular nature, a Hybrid Modular Multilevel Converter (HMMC) assembled from half-bridge and full-bridge sub-modules, is able to block DC faults with a minimum number of switching devices, which makes it attractive for high power applications. This paper introduces a control strategy based on the Root-Least Square (RLS) algorithm to estimate the capacitor voltages instead of using direct measurements. This action eliminates the need for voltage transducers in the HMMC sub-modules and the associated communication link with the central controller. In addition to capacitor voltage balancing and suppression of circulating currents, a fault tolerant control unit (FTCU) is integrated into the proposed strategy to modify the parameters of the HMMC controller. On advantage of the proposed FTCU is that it does not need extra components. Furthermore, a fault detection unit is adapted by utilizing a hybrid estimation scheme to detect sub-module faults. The behavior of the suggested technique is assessed using PSCAD offline simulations. In addition, it is validated using a real-time digital simulator connected to a real time controller under various normal and fault conditions. The proposed strategy shows robust performance in terms of accuracy and time response since it succeeds in stabilizing the HMMC under faults.

• Journal of the korean Society of Automotive Engineers
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• v.5 no.1
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• pp.63-78
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• 1983

As a basic study on the machine tools of modular structure, a Computer Aided Design of feed driving unit and an optimization of the dynamic characteristics of a machine tool structure are carried out.. Computer-aided design technique enables designers to save time and to easily do the job in variant design by effectively documenting design techniques and data. In this study a computer program package was developed for automatic design of a proper feed driving units by utilizing building block principle of OIWA CADET.

• Proceedings of the KIPE Conference
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• 1999.07a
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• pp.608-613
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• 1999

This thesis aims at developing of a digita governor system for the steam turbine generator on the Buk-Cheju Thermal Power Plant of KEPCO. The steam turbine generator of the Buk-Cheju Thermal Power Plant is modelled. As a hardware platform, a triple modular system which is fitted 32-bit microprocessor of Motorola company to perform the digital governor system is used. The parameters of the PID controller algorithm in the speed control block is tuned on the basis of the estimated model.

• Kyungpook Mathematical Journal
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• v.46 no.1
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• pp.57-64
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• 2006

It is proved that if G is a direct sum of countable abelian $p$-groups and R is a special selected commutative unitary highly-generated ring of prime characteristic $p$, which ring is more general than the weakly perfect one, then the group of all normed units V (RG) modulo G, that is V (RG)=G, is a direct sum of countable groups as well. This strengthens a result due to W. May, published in (Proc. Amer. Math. Soc., 1979), that treats the same question but over a perfect ring.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.12
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• pp.27-34
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• 1994

Block matching motion estimation is the most widely used method for motion compensated coding of image sequences. Based on a two dimensional systolic array, VLSI architecture and implementation of the full search block matching algorithm are described in this paper. The proposed architecture improves conventional array architecture by designing efficient processing elements that can control the data prodeuced by efficient search window division method. The advantages are that 1) it allows serial input to reduce pin counts for efficient composition of local memories but performs parallel processing. 2) It is flexible and can adjust to dimensional changes of search windows with simple control logic. 3) It has no idel time during the operation. 4) It can operate in real/time for low and main level in MPEG-2 standard. 5) It has modular and regular structure and thus is sutiable for VLSI implementation.

• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.435-436
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• 2019

본 논문은 Platform 기반의 PEBB(Power Electronics Building Block)을 이용한 계통연계형 에너지저장시스템(ESS) PCS의 개발전략과 효율적인 운용 방법에 대해 제안한다. Platform Design이란 표준제조 공정을 통해 다양한 제품을 만들어 내는 기술을 뜻한다. 이 Platform으로 생산되는 Modular PEBB(Power Electronics Building Block)을 이용하여 다양한 용량대의 제품에 대응할 수 있으며, 이를 통해 125kW에서부터 2MW제품까지 병렬확장이 가능하다. PCS의 Platform화로 시스템 용량 확장이 용이하며, 대량 생산이 가능하기 때문에 비용 측면에서의 장점이 있다. 그리고 부분 운전을 통해 운영 효율 향상과 PCS 수명을 늘릴 수 있다. 본 논문에서는 Platform 기반의 PCS의 물리적 및 제어적 구조를 설명하고, 개발전략의 방법에 대해 소개하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.1
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• pp.100-108
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• 2018

This paper describes a design of scalable RSA public-key cryptography processor supporting four key lengths of 512/1,024/2,048/3,072 bits. The modular multiplier that is a core arithmetic block for RSA crypto-system was designed with 32-bit datapath, which is based on the CIOS (Coarsely Integrated Operand Scanning) Montgomery modular multiplication algorithm. The modular exponentiation was implemented by using L-R binary exponentiation algorithm. The scalable RSA crypto-processor was verified by FPGA implementation using Virtex-5 device, and it takes 456,051/3,496347/26,011,947/88,112,770 clock cycles for RSA computation for the key lengths of 512/1,024/2,048/3,072 bits. The RSA crypto-processor synthesized with a $0.18{\mu}m$ CMOS cell library occupies 10,672 gate equivalent (GE) and a memory bank of $6{\times}3,072$ bits. The estimated maximum clock frequency is 147 MHz, and the RSA decryption takes 3.1/23.8/177/599.4 msec for key lengths of 512/1,024/2,048/3,072 bits.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.470-476
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• 2020

In this paper, we present the design of modular replaceable AI server for image deep learning that separates the server from the Edge Device so as to drive the AI block and the method of data transmission and reception. The modular replaceable AI server for image deep learning can reduce the dependency between social robots and edge devices where the robot's platform will be operated to improve drive stability. When a user requests a function from an AI server for interaction with a social robot, modular functions can be used to return only the results. Modular functions in AI servers can be easily maintained and changed by each module by the server manager. Compared to existing server systems, modular replaceable AI servers produce more efficient performance in terms of server maintenance and scale differences in the programs performed. Through this, more diverse image deep learning can be included in robot scenarios that allow human-robot interaction, and more efficient performance can be achieved when applied to AI servers for image deep learning in addition to robot platforms.

• Environmental Engineering Research
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• v.15 no.2
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• pp.123-126
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• 2010

Modeling non-point pollution across multiple scales has become an important environmental issue. As a more representative and practical approach in quantifying and qualifying surface water, a modular neural network (MNN) was implemented in this study. Two different site-scales ($1.5\;{\times}\;10^5$ and $1.62\;{\times}\;10^6\;m^2$) with the same plants, soils, and paddy field management practices, were selected. Hydrologic data (rainfall, irrigation and surface discharge) and water quality data (time-series nutrient loadings) were continuously monitored and then used for the verification of MNN performance. Correlation coefficients (R) for the results predicted from the networks versus measured values were within the range of 0.41 to 0.95. The small block could be extrapolated to the large field for the rainfall-surface drainage process. Nutrient prediction produced less favorable results due to the complex phenomena of nutrients in the drainage water. However, the feasibility of using MNN to generate improved prediction accuracy was demonstrated if more hydrologic and environmental data are provided. The study findings confirmed the estimation accuracy of the upscaling from a small-segment block to large-scale paddy field, thereby contributing to the establishment of water quality management for sustainable agriculture.

• Journal of the Korean Geotechnical Society
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• v.23 no.6
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• pp.5-21
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• 2007

Despite a number of advantages of reinforced earth walls over conventional concrete retaining walls, there exit concerns over long-term residual deformation when they are subjected to repeated and/or cyclic loads, especially when used as part of permanent structures. In view of these concerns, in this paper time-dependant deformation characteristics of geosynthetic reinforced modular block walls under sustained anuor repeated loads were investigated using reduced-scale model tests. The results indicated that a sustained or repeated load can yield appreciable magnitude of residual deformation, and that the residual deformations are influenced not only by the loading characteristics but by the mechanical properties of geogrid. It is also found that the preloading technique can be effectively used in controlling residual deformations of reinforced soils subjected to sustained and/or repeated loads.