• Journal of IKEEE
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• v.28 no.1
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• pp.1-5
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• 2024

To improve the performance of DRAM, it is essential to reduce sensing failures caused by mismatch in SA. Unlike flip failures, delay failures can be degraded, especially when high-speed operation is required, making it a critical consideration in the design of next-generation memory. While conventional SA operates with all transistors starting amplification simultaneously, SDSA selectively activates only two transistors that output BLB, thus alleviating offset. In this paper, we validate the superior performance of SDSA in mitigating delay failures through simulations. It was confirmed that SDSA exhibits approximately a 90 % reduction in delay failures compared to conventional SA.

• Journal of Korea Spatial Information System Society
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• v.6 no.1 s.11
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• pp.3-17
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• 2004

With the rapid growth of the Internet geographic information services through the WWW such as a location-based service and so on. Web GISs (Geographic Information Systems) have also come to be a cluster-based architecture like most other information systems. That is, in order to guarntee high quality of geographic information service without regard to the rapid growth of the number of users, web GISs need cluster-based architecture that will be cost-effective and have high availability and scalability. This paper proposes the design of the cluster-based web GIS with high availability and scalability. For this, each node within a cluster-based web GIS consists of main memory spatial databases which accomplish role of caching by using data declustering and the locality of spatial query. Not only simple region queries but also the proposed system processed spatial join queries effectively. Compare to the existing method. Parallel R-tree spatial join for a shared-Nothing architecture, the result of simulation experiments represents that the proposed spatial join method achieves improvement of performance respectively 23% and 30% as data quantity and nodes of cluster become large.

• Korean Journal of Cognitive Science
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• v.20 no.4
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• pp.535-554
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• 2009

Information collected on mobile devices might be utilized to support user's memory, but it is difficult to effectively retrieve them because of the enormous amount of information. In order to organize information as an episodic approach that mimics human memory for the effective search, it is required to detect important event like landmarks. For providing new services with users, in this paper, we propose the prediction model to find landmarks automatically from various context log information based on attributed Bayesian networks. The data are divided into daily and weekly ones, and are categorized into attributes according to the source, to learn the Bayesian networks for the improvement of landmark prediction. The experiments on the Nokia log data showed that the Bayesian method outperforms SVMs, and the proposed attributed Bayesian networks are superior to the Bayesian networks modelled daily and weekly.

• Journal of Korean Society of Archives and Records Management
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• v.9 no.2
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• pp.103-131
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• 2009

This study seeks some ways to improve archives exhibitions by comparing with museum exhibitions. For this purpose, this study overviews the present state of domestic archives exhibitions and extracts some features compared to museum exhibitions. And it suggests some improvement ways for archives exhibitions especially based on comparative analysis of the special exhibitions held by National Archives of Korea and National Folk Museum of Korea in memory of the 60th anniversary of National Foundation. It derived some ways to facilitate archives exhibitions hereafter, they were targeting distinctive customers for each area, communicating proper message for the theme and target of exhibitions, orienting theme-typed exhibitions, reflecting customers' feedback, exhibition educational services' invigorating, neutral interpretation of modern archives, and offering material on life and cultural history in priority.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.93-99
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• 2017

A hybrid approach using Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) has showed great improvement in speech recognition accuracy. For training acoustic model based on hybrid approach, it requires forced alignment of HMM state sequence from Gaussian Mixture Model (GMM)-Hidden Markov Model (HMM). However, high computation time for training GMM-HMM is required. This paper proposes an end-to-end approach for LSTM RNN-based Korean speech recognition to improve learning speed. A Connectionist Temporal Classification (CTC) algorithm is proposed to implement this approach. The proposed method showed almost equal performance in recognition rate, while the learning speed is 1.27 times faster.

• Journal of Oriental Neuropsychiatry
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• v.29 no.3
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• pp.121-134
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• 2018

Objectives: The purpose of this in vivo study is to observe anti-amnesic effects of Yeongkyekamjotanggayonggolmoryo (YGYM), a novel mixed herbal prescription, Ossis Mastodi and Ostreae Testa added Yeongkyekamjo-tang, on scopolamine induced amnesia in C57BL/6 mice through acetylcholine (ACh) and acetylcholinesterase (AChE) activity, Choline acetyltransferase (ChAT) mRNA expression, and antioxidant effects. Methods: Six groups, total 20 intact or 100 Sco treated mice were used in this study after one week of acclimatization period. Half the animals were used for passive avoidance task tests and hippocampus ACh content, AChE activity, and ChAT mRNA expression were measured. The other half was subjected to an underwater maze test and then the cerebral cortex antioxidant defense system was measured. Results: In the passive avoidance experiment, there was significant decrease in residence time in the bright room and in the underwater maze test, escape latency to escape from the esophagus significantly increased compared with the normal control group. At the final sacrifice, ACh content and ChAT mRNA expression decreased, AChE activity increased, and cerebral cortical MDA increased GSH content, SOD and CAT activity in Sco control mice, as compared to intact vehicle control mice. However, these Sco treatment-related memory loss through AChE activation destroyed the cerebral cortex antioxidant defense system, and was inhibited dose-dependently by 28 days consecutive oral pretreatments of YGYM extracts 500, 250, 125 mg/kg. Conclusions: In the above results, YGYM extract that oral administration of YGYM extracts alleviates the antioxidant defense system, through preservation of ACh mediated by upregulation of ChAT mRNA expression, and increase of AChE inhibition and brain antioxidant defense systems.

• Journal of the Korea Society of Computer and Information
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• v.20 no.4
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• pp.1-10
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• 2015

NAND flash systems require deletion operation and do not support in-place update, so the storage systems should use Flash Translation Layer (FTL). However, there are a lot of memory consumptions using mapping table in the FTL, so recently, many studies have been proposed to resolve mapping table overhead. These studies try to solve update propagation problem in the nand flash system which does not use mapping table. In this paper, we present a novel index structure, called CL-Tree(Cache List Tree), to solve the update propagation problem. The proposed index structure reduces write operations which occur for an update propagation, and it has a good performance for search operation because it uses multi-list structure. In experimental evaluation, we show that our scheme yields about 173% and 179% improvement in insertion speed and search speed, respectively, compared to traditional B+tree and other works.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.2
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• pp.149-154
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• 2004

In this research, we selected the speech recognition to implement the electric wheelchair system as a method to control it by only using the speech and used DTW (Dynamic Time Warping), which is speaker-dependent and has a relatively high recognition rate among the speech recognitions. However, it has to have small memory and fast process speed performance under consideration of real-time. Thus, we introduced VQ (Vector Quantization) which is widely used as a compression algorithm of speaker-independent recognition, to secure fast recognition and small memory. However, we found that the recognition rate decreased after using VQ. To improve the recognition rate, we applied ART2 (Adaptive Reason Theory 2) algorithm as a post-process algorithm to obtain about 5% recognition rate improvement. To utilize ART2, we have to apply an error range. In case that the subtraction of the first distance from the second distance for each distance obtained to apply DTW is 20 or more, the error range is applied. Likewise, ART2 was applied and we could obtain fast process and high recognition rate. Moreover, since this system is a moving object, the system should be implemented as an embedded one. Thus, we selected TMS320C32 chip, which can process significantly many calculations relatively fast, to implement the embedded system. Considering that the memory is speech, we used 128kbyte-RAM and 64kbyte ROM to save large amount of data. In case of speech input, we used 16-bit stereo audio codec, securing relatively accurate data through high resolution capacity.

• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.4
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• pp.691-696
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• 2011

In order to the neuroprotective effect of electroacupuncture (EA), the present study examined the effects of electroacupuncture inacupoint ST36 (Stomach 36) on trimethyltin chloride (TMT)-induced cognitive impairments rat using the Morris water maze (MWM) task and immunohistochemistry staining. The rats were randomly divided into the following groups: naive rat (Normal), TMT injection rat (Control), TMT injection + EA treated rat inacupoint ST36 (ST36) and TMT injection + EA treated rat in non-acupoint, base of tail (Non-AC). Electroacupuncture (2Hz, 2mA, and 10 minutes)was applied either to the acupuncture point ST36 or the nonacupuncture point in the tail for the last 14 days. In the water maze test, the animals were trained to find a platform in a fixed position during 4d and then received 60s probe trial on the $5^{th}$ day following removal of platform from the pool. Rats with TMT injection showed impaired learning and memory of the tasks and treatment with EA in acupoint ST36 (P<0.05) produced a significant improvement in escape latency to find the platform after $2^{nd}$ day and retention trial in the Morris water maze. Consistent with behavioral data, treatment with EA in acupoint ST36 also significantly increased expression of Choline acetyltransferase (ChAT) and Acetylcholinesterase (AChE) immunoreactive neurons in the hippocampus compared to the Control group. These results demonstrated that EA in acupoint ST36 has a protective effect against TMT-induced neuronal and cognitive impairments. The present study suggests that EA in acupoint ST36 might be useful in the treatment of TMT-induced learning and memory deficit.

• Korean Journal of Medicinal Crop Science
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• v.22 no.1
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• pp.46-52
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• 2014

In traditional Korean and Chinese medicine, safflower (Carthamus tinctorius L.) for the treatment of central nervous system-related symptoms such as tremor, seizure, stroke and epilepsy. We investigated the effects of safflower could influence cerebral ischemia-induced neuronal and cognitive impairments. Administration of safflower for 1 day (200 mg/kg body weight, p.o.) increased the survival of hippocampal CA1 pyramidal neurons after transient global brain ischemia. And neurological functions measured as short term memory. Post-treatment with safflower for 2 times decreased the induction/reduction - induced production of neuronal cell loss from global cerebral ischemia. Safflower markedly decreased neuronal cell death and also caused a decrease in the content of thiobarbituric acid-reacting substances (TBARS) ($55.2{\pm}9.4{\mu}mol\;mg^{-1}$) and significant improvement of activities of glutathione (GSH) ($27.2{\pm}5.0{\mu}mol\;mg^{-1}$) in hippocampus. We conclude that treatment with safflower attenuated learning and memory deficits, and neuronal cell loss induced by global cerebral ischemia. These results suggest that safflower may be a potential candidate for the treatment of vascular dementia.