• Korean Journal of Pharmacognosy
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• v.52 no.1
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• pp.55-60
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• 2021

Belamcandae Rhizoma (BR), the rhizome of Belamcanda chinensis (L.) DC., possesses various biological properties such as anti-inflammatory activity, antioxidant activity and antimutagenic activity. However, there have been no studies on the anti-amnesic effect of BR. In this study, we assessed the improvement effect of BR extract on scopolamine-induced amnesia in mice. ICR mice were administrated with BR (50, 100 or 200 mg/kg, p.o.) and were subsequently injected of scopolamine (1 mg/kg, i.p.) 30 min before behavioral tasks (Y-maze, passive avoidance and Morris water maze tasks). To further assess the possible mechanisms of BR, the ex vivo acetylcholinesterase (AChE) activity was also evaluated. BR could ameliorate scopolamine-induced memory impairment and could regulate the cholinergic function by inhibiting the AChE activity. These data demonstrated that BR exert candidate extract against amnesia by restoring the cholinergic activity.

• The Korean Journal of Physiology and Pharmacology
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• v.8 no.6
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• pp.307-312
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• 2004

To investigate whether BF-7, extracted from Bombyx mori, improved learning and memory of ordinary people, Rey-Kim Memory Test was performed with placebo group (32 persons), 200 mg BF-7 treated group (33 persons) and 400 mg BF-7 treated group (34 persons). BF-7 enhanced significantly learning and memory function in a dose-dependent manner. To know how BF-T plays such a positive role, we measured the concentration of acetylcholine in the brain from memory impairment animal model. Treatment of BF-7 significantly increased the concentration of acetylcholine. So, it is supposed that the protection of cholinergic neuron and/or keeping proper concentration of acetylcholine might be one of the mechanisms by which BF-7 improve brain function. So, our results suggest that the BF-7 is effective material for improving learning and memory ability.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.2
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• pp.114-121
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• 2013

As the weight of embedded memory within Systems-On-Chips(SoC) rapidly increases to 80-90% of the number of total transistors, the importance of testing embedded memory in SoC increases. This paper proposes IEEE std. 1500 wrapper based Programmable Memory Built-In Self-Test(PMBIST) architecture which can support various kinds of test algorithm. The proposed PMBIST guarantees high flexibility, programmability and fault coverage using not only March algorithms but also non-March algorithms such as Walking and Galloping. The PMBIST has an optimal hardware overhead by an optimum program instruction set and a smaller program memory. Furthermore, the proposed fault information processing scheme guarantees improvement of the memory yield by effectively supporting three types of the diagnostic methods for repair and diagnosis.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.4 s.310
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• pp.23-30
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• 2006

This paper presents design andd verification of a circuit that improves the control-operation problems of Stored Program Optical Computer (SPOC), which is an optical computer using $LiNbO_3$ optical switching element. Since the memory of SPOC takes the Delay Line Memory (DLM) architecture and instructions that are needless of operands should go though memory access stages, SPOC memory have problems; it takes immoderate access time and unnecessary operations are executed in Arithmetic Logical Unit (ALU) because desired operations can't be selectively executed. In this paper, improvement on circuit has been achieved by removing the memory access of instructions that are needless of operands by decoding instructions before locating operand. Unnecessary operations have been reduced by sending operands to some specific operational units, not to all the operational units in ALD. We show that total execution time of a program is minimized by using the Dual Instruction Register(DIR) architecture.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.189-192
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• 2021

This study applies a deep learning-based long short-term memory(LSTM) model to track tracking technology. In the case of existing track tracking technology, the weight of constant velocity, constant acceleration, stiff turn, and circular(3D) flight is automatically changed when tracking track in real time using LMIPDA based on Kalman filter according to flight characteristics of an aircraft such as constant velocity, constant acceleration, stiff turn, and circular(3D) flight. In this process, it is necessary to improve performance of changing flight characteristic weight, because changing flight characteristics such as stiff turn flight during constant velocity flight could incur the loss of track and decreasing of the tracking performance. This study is for improving track tracking performance by predicting the change of flight characteristics in advance and changing flight characteristic weigh rapidly. To get this result, this study makes deep learning-based Long Short-Term Memory(LSTM) model study the plot and target of simulator applied with radar error model, and compares the flight tracking results of using Kalman filter with those of deep learning-based Long Short-Term memory(LSTM) model.

• The KIPS Transactions:PartA
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• v.11A no.7 s.91
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• pp.475-482
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• 2004

We live in the flood of information due to advancement of information communication and increase of E-mail. Managing users huge in-formation systematically and speedy searching are needed in these social advancement. In this thesis, in order to satisfy these requirement, We suggested Real-time LDAP Interface using Main Memory Resident Database Management System which can manage a lot of information fast systematically. It is expected that system can provide advantage of performance improvement through replacing Main Memory Resident Database Management System without change of application which is required high speed process.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.11a
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• pp.453-456
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• 2009

Impact resistance of shape memory alloy hybrid composite(SMAHC) plates were experimentally investigated. Shape memory alloy(SMA) have large failure strain and failure stress and can absorb large strain energies through phase transformation. SMA wires were embedded in composite plates to improve their weak impact resistance. Tensile tests of SMA wires were performed at various temperature to investigate their thermo-mechanical properties. Low-Velocity impact tests of several types of composite plates with SMA/Al/Fe were performed. Embedding SMA wires was most effective to improve impact resistance of composite plates. The effects of SMA position on impact resistance were also investigated.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.29-33
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• 2019

Recently, due to the rapid improvement of communication technologies as well as the easy production of video contents, IPTV is becoming increasingly popular. Meanwhile, as the number of IPTV channels increases rapidly, much time is required for finding the user's desired channel. This paper discusses and analyzes the effectiveness of reducing IPTV channel searching delays by using memory management techniques of computer systems. Specifically, this paper introduces how memory management techniques such as memory replacement, prefetching, and caching techniques can be adopted in IPTV channel searching interfaces by mapping between the two problems and discusses the effectiveness of the techniques.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.49 no.2
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• pp.131-136
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• 2016

Marine organisms are sources of many bioactive compounds, such as essential fatty acids, essential amino acids, vitamins, and minerals, making them useful candidates for the production of safe bioactive substances. They also synthesize glutamic acid, which can be used to produce γ-aminobutyric acid (GABA), the major inhibitory neurotransmitter in the central nervous system (CNS), via fermentation with Lactobacillus brevis BJ-20. This study investigated the degree to which fermented sea tangle (FST) inhibits enzymes such as acetylcholine esterase (AChE) and prolyl endopeptidase (PEP) and affects memory of normal mice using the T-maze test. FST inhibited more than 90% of AChE at 1 mg/mL and 50% of PEP at 8 mg/mL. Oral FST (100 mg/kg) significantly improved performance of normal mice on the T-maze. Therefore, sea tangle fermented with L. brevis BJ20 effectively contributes to memory improvement and might be a useful functional food ingredient.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.2
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• pp.125-134
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• 2016

NAND flash memory has unique characteristics like as 'out-place-update' and limited lifetime compared with traditional storage systems. According to out-of-place update scheme, a number of invalid (or called dead) pages can be generated. In this case, garbage collection is needed to reclaim invalid pages. Because garbage collection results in not only erase operations but also copy operations of valid (or called live) pages to other blocks, many garbage collection techniques have proposed to reduce the overhead and to increase the lifetime of NAND Flash systems. This techniques sometimes select victim blocks including cold data for the wear leveling. However, most of them overlook the cost of selecting victim blocks including cold data. In this paper, we propose a garbage collection technique named CAPi (Cost Age with Proportion of invalid pages). Considering the additional overhead of what to select victim blocks including cold data, CAPi improves the response time in garbage collection and increase the lifetime in memory systems. Additionally, the proposed scheme also improves the efficiency of garbage collection by separating cold data from hot data in valid pages. In experimental evaluation, we showed that CAPi yields up to, at maximum, 73% improvement in lifetime compared with existing garbage collections.