• Journal of Power Electronics
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• 제19권1호
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• pp.158-167
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• 2019

This research comparatively studies three kinds of flux regulation methods, namely, stored capacitor discharge pulse (SCDP), constant current source pulse (CCSP), and quantitative flux regulation pulse (QFRP), which are used for hybrid permanent magnet (PM) axial field flux-switching memory machines (HPM-AFFSMMs). Through an analysis of the operation principle and the series hybrid PM flux regulation mechanism of the objective machine, the circuit topologies and flux regulation process of these flux regulation methods are addressed in detail. On the basis of a simulation, the flux regulation characteristics of the researched machine during the magnetization and demagnetization processes are comparatively evaluated. Then, machine performance, including back EMF, direct and quadrature axis inductances, and magnetization and demagnetization characteristics, is quantitatively investigated. Results show that the QFRP enables the HPM-AFFSMM to achieve a less harmonic component of back EMF by approximately 7.28% and 7.97% at the magnetization and demagnetization states, respectively, and a more complete magnetization process than the SCDP and CCSP.

• 대한임베디드공학회논문지
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• 제11권2호
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• pp.67-78
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• 2016

The emerging Spin-Transfer Torque RAM (STT-RAM) is a promising component that can be used to improve the efficiency as a result of its high storage density and low leakage power. However, the state-of-the-art STT-RAM is not ready to replace SRAM technology due to the negative effect of its write operations. The write operations require longer latency and more power than the same operations in SRAM. Therefore, a hybrid cache with SRAM and STT-RAM technologies is proposed to obtain the benefits of STT-RAM while minimizing its negative effects by using SRAM. To efficiently use of the hybrid cache, it is important to place write intensive data onto the cache. Such data should be placed on SRAM to minimize the negative effect. Thus, we propose a technique that optimizes placement of data in main memory. It drives the proper combination of advantages and disadvantages for SRAM and STT-RAM in the hybrid cache. As a result of the proposed technique, write intensive data are loaded to SRAM and read intensive data are loaded to STT-RAM. In addition, our technique also optimizes temporal locality to minimize conflict misses. Therefore, it improves performance and energy consumption of the hybrid cache architecture in a certain range.

• 정보과학회 논문지
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• 제42권4호
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• pp.434-441
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• 2015

뉴메모리는 차세대 메모리 기술로써 비휘발성과 바이트 단위의 임의 접근성을 가지고 있다. 뉴메모리의 이러한 특성들은 기존의 정형화된 컴퓨터 시스템 구조에 변화를 가져올 것으로 예상된다. 본 연구는 뉴메모리와 DRAM이 공존하는 하이브리드 메인 메모리 구조에서의 고속 부팅 기법을 제안한다. 고속부팅 기법은 본 연구에서 개발한 MMU 변환 테이블을 이용한 쓰기 추적 기술을 이용하였다. 쓰기 추적기술을 이용하여 부팅 이후의 업데이트를 감지할 수 있었고, 부팅 이후의 업데이트를 다른 곳에 저장함으로써 부팅 완료 이미지가 훼손되는 것을 막을 수 있었다. 실제 고속 부팅 시에는 보존된 부팅 완료 이미지를 이용하여 부팅된 상태로 돌아가기 때문에 빠른 부팅이 될 수 있다. 본 연구의 고속 부팅 기법의 성능을 측정하기 위하여 뉴메모리가 장착된 실제 임베디드 실험 보드에서 고속 부팅 시스템을 개발하였으며, 고속 부팅 시간은 0.5초 이내로 빠른 부팅이 가능하였다.

• Journal of Computing Science and Engineering
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• 제11권2호
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• pp.69-77
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• 2017

Recent GPUs have adopted cache memory to benefit general-purpose GPU (GPGPU) programs. However, unlike CPU programs, GPGPU programs typically have considerably less temporal/spatial locality. Moreover, the L1 data cache is used by many threads that access a data size typically considerably larger than the L1 cache, making it critical to bypass L1 data cache intelligently to enhance GPU cache performance. In this paper, we examine GPU cache access behavior and propose a simple hardware-based GPU cache bypassing method that can be applied to GPU applications without recompiling programs. Moreover, we introduce a hybrid method that integrates static profiling information and hardware-based bypassing to further enhance performance. Our experimental results reveal that hardware-based cache bypassing can boost performance for most benchmarks, and the hybrid method can achieve performance comparable to state-of-the-art compiler-based bypassing with considerably less profiling cost.

• 대한임베디드공학회논문지
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• 제11권4호
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• pp.209-218
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• 2016

This paper proposes a new lifetime aware buffer mapping method of a synchronous dataflow (SDF) graph on a hybrid memory system with DRAM and PRAM. Since the number of write operations on PRAM is limited, the number of written samples on PRAM is minimized to maximize the lifetime of PRAM. We improve the utilization of DRAM by mapping more buffers on DRAM through buffer sharing. The problem is formulated formally and solved by an optimal approach of an answer set programming. In experiment, the buffer mapping method with buffer sharing improves the PRAM lifetime by 63%.

• 전력전자학회논문지
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• 제27권1호
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• pp.48-55
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• 2022

This paper proposes a battery remaining useful life (RUL) prediction method using a deep learning-based EMD-CNN-LSTM hybrid method. The proposed method pre-processes capacity data by applying empirical mode decomposition (EMD) and predicts the remaining useful life using CNN-LSTM. CNN-LSTM is a hybrid method that combines convolution neural network (CNN), which analyzes spatial features, and long short term memory (LSTM), which is a deep learning technique that processes time series data analysis. The performance of the proposed remaining useful life prediction method is verified using the battery aging experiment data provided by the NASA Ames Prognostics Center of Excellence and shows higher accuracy than does the conventional method.

• JSTS:Journal of Semiconductor Technology and Science
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• 제17권2호
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• pp.199-203
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• 2017

Mutually-actuated-nano-electromechanical (MA-NEM) memory switches are proposed for scalability improvement. While conventional NEM memory switches have fixed electrode lines, the proposed MA-NEM memory switches have mutually-actuated cantilever-like electrode lines. Thus, MA-NEM memory switches show smaller deformations of beams in switching. This unique feature of MA-NEM memory switches allows aggressive reduction of the beam length while maintaining nonvolatile property. Also, the scalability of MA-NEM memory switches is confirmed by using finite-element (FE) simulations. MA-NEM memory switches can be promising solutions for reconfigurable logic (RL) circuits.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2011년도 춘계학술대회 논문집
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• pp.793-794
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• 2011

• 한국정보통신학회논문지
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• 제8권2호
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• pp.430-439
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• 2004

OFDM 방식의 DVB-T 수신기에서 다수 반송파의 변ㆍ복조를 수행하는 8192점/2048점 FFT/IFFT 프로세서 (CFFT8k2k)를 설계하였다. 8192점 FFT와 같이 변환 크기가 큰 경우에는 매우 큰 용량의 메모리가 필요하므로, 메모리 효율적인 설계가 중요하다. 본 논문에서는 R4SDC (Radix-4 Single-path Delay Commutator)와 R4SDF (Radix-4 Single-path Delay Feedback)를 혼합한 Hybrid 구조를 적용함으로써 R4SDC 단일 구조에 비해 약 20%의 메모리를 줄였으며, 2단계 수렴 블록 부동점 스케일링 기법을 적용함으로써 기존의 CBFP 방식에비해 약 24%의 메모리를 감소시켰다. 이와 같은 메모리 효율적인 설계를 통해, 기존 방식의 약 57%의 메모리만으로 구현되었으며, 칩 면적과 전력소모가 크게 감소되었다. CFFT8k2k 코어는 Verilog-HDL로 설계되었으며, 102,000여 개의 게이트, 292k 비트의 RAM, 그리고 39k 비트의 ROM으로 구현되었다. $0.25-{\um}m$ CMOS라이브러리로 합성된 게이트 레벨 netlst와 SDF를 이용한 타이밍 시뮬레이션 결과, 2.5-V 전원전압에서 50-MHz로 안전하게 동작함을 확인하였으며, 8192점 FFT/IFFT 연산에 164-${\mu}\textrm{s}$가 소요되어 DVB-T 사양을 만족하는 것으로 평가되었다. 설계된 CFFT8k2k 코어는 FPGA로 구현하여 정상 동작함을 확인하였으며, 8192점 FFT의 평균 SQNR은 약 60-㏈로 분석되었다.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1987년도 춘계학술발표회 논문집
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• pp.31-34
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• 1987

A new efficientcoding system which can transmit video conferenceof viedeophone signals at a 64kbps is proposed. In addition to the interframe and CRC (Conditional Repleni shment Coding) system, BTVQ (Binary Tree searched Vector Quantizer)and RLC (Run Length Coding) methods are incorporated. Couble buffer memory is used for simple comtrol of channel symbol transmission and memory underflow And also buffer memory onerfolw is easily controlled by the thresholds of a MAD (Moving Area Betector)