• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.559-567
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• 2018

In this paper, we propose a new load forecasting method for smart air conditioning (A/C) based on the modified thermodynamics of indoor temperature and the unbiased finite memory estimator (UFME). Based on modified first-order thermodynamics, the dynamic behavior of indoor temperature can be described by the time-domain state-space model, and an accurate estimate of indoor temperature can be achieved by the proposed UFME. In addition, a reliable A/C load forecast can be obtained using the proposed method. Our study involves the experimental validation of the proposed A/C load forecasting method and communication construction between DR server and HEMS in a test bed. Through experimental data sets, the effectiveness of the proposed estimation method is validated.

• 한국전기전자재료학회논문지
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• 제35권5호
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• pp.452-458
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• 2022

The electro-thermal erasing (ETE) configuration utilizes Joule heating intentionally generated at word-line (WL). The elevated temperature by heat physically removes stored electrons permanently within a very short time. Though the ETE configuration is a promising next generation NAND flash memory candidate, a consideration of power efficiency and erasing speed with respect to device structure and its scaling has not yet been demonstrated. In this context, based on 3-dimensional (3-D) thermal simulations, this paper discusses the impact of device structure and scaling on ETE efficiency. The results are used to produce guidelines for ETEs that will have lower power consumption and faster speed.

• 정보보호학회논문지
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• 제21권4호
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• pp.89-100
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• 2011

그간 디지털 포렌식의 활성 시스템 분석 분야의 한 화두는 물리 메모리 이미지 분석이었다. 물리 메모리 분석은 프로세스를 은닉을 하더라도 그 데이터를 물리 메모리에서 확인할 수 있고 메모리에 존재하는 사용자의 행위를 발견할 수 있어 분석 결과의 신뢰성을 높이는 등 디지털 포렌식 분석에 큰 도움이 되고 있다. 하지만 메모리 분석 기술 대부분이 윈도우 운영체제 환경에 초점이 맞추어져 있다. 이는 분석 대상의 다양성을 고려하였을 때 타 운영체제에 대한 메모리 분석이 필요하게 되었음을 의미한다. Mac OS X는 윈도우에 이어 두 번째로 높은 점유율을 가진 운영체제로 부팅 시 커널 이미지를 물리 메모리에 로딩하면서 운영체제가 구동하고 주요 정보를 커널이 관리한다. 본 논문은 Mac OS X의 커널 이미지가 저장하고 있는 심볼 정보를 이용한 물리 메모리 분석 방법을 제안하고, 제안한 내용을 토대로 물리 메모리 이미지에서 프로세스 정보와 마운트된 장치 정보, 커널 버전 정보, 외부 커널 모듈정보(KEXT)와 시스템 콜 목록 정보의 추출 방법을 보인다. 추가적으로 사례 분석을 통해 물리 메모리 분석의 효용성을 입증한다.

• Communications for Statistical Applications and Methods
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• 제9권3호
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• pp.577-594
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• 2002

For the estimation and test of long memory feature in volatilities of stock indices and individual companies semiparametric approach, Geweke and Porter-Hudak (1983), is employed. Empirical study supports the strong evidence of volatility persistence in Korean stock market. Most of indices and individual companies have the feature of long term dependence of volatility. Hence the short memory models are unable to explain the volatilities in Korean stock market.

• Biomolecules & Therapeutics
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• 제21권6호
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• pp.462-469
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• 2013

Eucommia ulmoides Oliv. Bark (EUE) is commonly used for the treatment of hypertension, rheumatoid arthritis, lumbago, and ischialgia as well as to promote longevity. In this study, we tested the effects of EUE aqueous extract in graded doses to protect and enhance cognition in scopolamine-induced learning and memory impairments in mice. EUE significantly improved the impairment of short-term or working memory induced by scopolamine in the Y-maze and significantly reversed learning and memory deficits in mice as measured by the passive avoidance and Morris water maze tests. One day after the last trial session of the Morris water maze test (probe trial session), EUE dramatically increased the latency time in the target quadrant in a dose-dependent manner. Furthermore, EUE significantly inhibited acetylcholinesterase (AChE) and thiobarbituric acid reactive substance (TBARS) activities in the hippocampus and frontal cortex in a dose-dependent manner. EUE also markedly increased brain-derived neurotrophic factor (BDNF) and phosphorylation of cAMP element binding protein (CREB) in the hippocampus of scopolamine-induced mice. Based on these findings, we suggest that EUE may be useful for the treatment of cognitive deficits, and that the beneficial effects of EUE are mediated, in part, by cholinergic signaling enhancement and/or protection.

• 한국표면공학회지
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• 제57권3호
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• pp.165-178
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• 2024

In semiconductor memory device manufacturing, the capability for high aspect ratio contact (HARC) etching determines the density of memory device. Given that there is no standardized definition of "high" in high aspect ratio, it is crucial to continuously monitor recent technology trends to address technological gaps. Not only semiconductor memory manufacturing companies such as Samsung Electronics, SK Hynix, and Micron but also semiconductor manufacturing equipment companies such as Lam Research, Applied Materials, Tokyo Electron, and SEMES release annual reports on HARC etching technology. Although there is a gap in technological focus between semiconductor mass production environments and various research institutes, the results from these institutes significantly contribute by demonstrating fundamental mechanisms with empirical evidence, often in collaboration with industry researchers. This paper reviews recent studies on HARC etching and the study of dielectric etching in various technologies.

• 대한전자공학회논문지SD
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• 제46권12호
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• pp.73-79
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• 2009

최근 VLSI 회로 직접도가 급속도로 증가함에 따라 하나의 시스템 칩에 고밀도와 고용량의 내장 메모리(Embedded Memory)가 구현되고 있다. 고장난 메모리를 여분 메모리(Spare Memory)로 재배치함으로써 메모리 수율 향상과 사용자에게 메모리를 투명하게 사용할 수 있도록 제공할 수 있다. 본 논문에서는 고장난 메모리 부분을 여분 메모리의 행과 열 메모리 사용으로 고장난 메모리를 고장이 없는 메모리처럼 사용할 수 있도록 여분 메모리 재배치 알고리즘인 MRI를 제안하고자 한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1896-1900
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• 2003

In this paper, a new type of output feedback control, called a receding horizon finite memory control (RHFMC), is proposed for stochastic discrete-time state space systems. Constraints such as linearity and finite memory structure with respect to an input and an output, and unbiasedness from the optimal state feedback control are required in advance. The proposed RHFMC is chosen to minimize an optimal criterion with these constraints. The RHFMC is obtained in an explicit closed form using the output and input information on the recent time interval. It is shown that the RHFMC consists of a receding horizon control and an FIR filter. The stability of the RHFMC is investigated for stochastic systems.

• Journal of Computing Science and Engineering
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• 제11권1호
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• pp.1-8
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• 2017

Naive Bayes nearest neighbor (NBNN) is a simple image classifier based on identifying nearest neighbors. NBNN uses original image descriptors (e.g., SIFTs) without vector quantization for preserving the discriminative power of descriptors and has a powerful generalization characteristic. However, it has a distinct disadvantage. Its memory requirement can be prohibitively high while processing a large amount of data. To deal with this problem, we apply a spherical hashing binary code embedding technique, to compactly encode data without significantly losing classification accuracy. We also propose using an inverted index to identify nearest neighbors among binarized image descriptors. To demonstrate the benefits of our method, we apply our method to two existing NBNN techniques with an image dataset. By using 64 bit length, we are able to reduce memory 16 times with higher runtime performance and no significant loss of classification accuracy. This result is achieved by our compact encoding scheme for image descriptors without losing much information from original image descriptors.

• 한국컴퓨터정보학회논문지
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• 제24권4호
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• pp.1-9
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• 2019

LRR(Loose Round Robin) warp scheduling policy for GPU architecture results in high warp-level parallelism and balanced loads across multiple warps. However, traditional LRR policy makes multiple warps execute long latency operations at the same time. In cases that no more warps to be issued under long latency, the throughput of GPUs may be degraded significantly. In this paper, we propose a new warp scheduling policy which utilizes latency hiding, leading to more utilized memory resources in high performance GPUs. The proposed warp scheduler prioritizes memory instruction based on GTO(Greedy Then Oldest) policy in order to provide reduced memory stalls. When no warps can execute memory instruction any more, the warp scheduler selects a warp for computation instruction by round robin manner. Furthermore, our proposed technique achieves high performance by using additional information about recently committed warps. According to our experimental results, our proposed technique improves GPU performance by 12.7% and 5.6% over LRR and GTO on average, respectively.