• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.107-110
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• 2017

According to researches, while the speed of processor and network in embedded devices is fast enough to meet user requirement, the IO speed is recognized as the main performance bottleneck. Meanwhile it is known that more than 70 percent of IOs are issued from SQLite database. Many researches related SQLite performance optimization is based on WAL mode because WAL mode optimized for write IO performance. In this paper, I propose to optimize SQLite with Atomic Write in the Rollback Journal Mode, which is mainly used in Android and Tizen. I have observed that Atomic Write have a significant write performance improvement(300%) by reducing write, file sync operation and memory usage improvement(80%). Additionally it can block JOJ(Journaling of Journal) and extend the life of the flash memory.

• Journal of Life Science
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• v.19 no.6
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• pp.756-764
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• 2009

Scutellariae baicalensis GEORGt Acorus gramineus SOLAND and Gastrodia elata BLUME are traditional medicines used in the treatment of incipient stoke. In this study we investigated their effects on various aspects of neuronal differentiation in single or composite forms. Water-extracts of these medicines showed neuroprotective effects on cultured rat cortical neurons in normoxia and hypoxia. To understand the mechanism for neuroprotection we carried out various cell biological assays. They stimulated initial differentiation of neuronal development (transition from stage 1 to 2), and increased the number of spines and the length and number of dendritic processes. These effects were best manifested in the experimental group, which were given a mixture of the three kinds of extracts (p<0.01). To assess improvement of brain functions we carried out Morris water-maze tests for the mice that were fed on these extracts instead of water for 4 weeks. The experimental groups, especially those which were given the mixture of the three kinds of extract, showed significant (p<0.01) enhancement in memory as early as one day after the learning trial. These results indicate that these three kinds of extracts have synergistic effects on neuronal protection and improvement of brain functions.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.237.2-237.2
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• 2013

ReRAM cell, also known as conductive bridging RAM (CBRAM), is a resistive switching memory based on non-volatile formation and dissolution of conductive filament in a solid electrolyte [1,2]. Especially, Chalcogenide-based ReRAM have become a promising candidate due to the simple structure, high density and low power operation than other types of ReRAM but the uniformity of switching parameter is undesirable. It is because diffusion of ions from anode to cathode in solid electrolyte layer is random [3]. That is to say, the formation of conductive filament is not go through the same paths in each switching cycle which is one of the major obstacles for performance improvement of ReRAM devices. Therefore, to control of nonuniform conductive filament formation is a key point to achieve a high performance ReRAM. In this paper, we demonstrated the enhanced repeatable bipolar resistive switching memory characteristics by spreading the Ag nanocrystals (Ag NCs) on amorphous GeSe layer compared to the conventional Ag/GeSe/Pt structure without Ag NCs. The Ag NCs and Ag top electrode act as a metal supply source of our devices. Excellent resistive switching memory characteristics were obtained and improvement of voltage distribution was achieved from the Al/Ag NCs/GeSe/Pt structure. At the same time, a stable DC endurance (>100 cycles) and an excellent data retention (>104 sec) properties was found from the Al/Ag NCs/GeSe/ Pt structured ReRAMs.

• Journal of Ginseng Research
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• v.47 no.6
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• pp.735-742
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• 2023

Background: Gintonin is a new material of ginseng that acts through the ginseng-derived lysophosphatidic acid (LPA) receptor ligand. The gintonin-enriched fraction (GEF) inhibits amyloid plaque accumulation in the cortex and hippocampus, improves cognitive dysfunction by increasing acetylcholine levels, and promoted hippocampal neurogenesis in an animal model of Alzheimer's disease. We evaluated the effect of the GEF on the cognitive performance of subjects with subjective memory impairment (SMI). Methods: In this eight-week, randomized, assessor- and participant-blinded, placebo-controlled study, participants with SMI were assigned to three groups receiving placebo, GEF 300 mg/day or GEF 600 mg/day. The Korean versions of the Alzheimer's Disease Assessment Scale (K-ADAS), Mini-Mental State Examination (K-MMSE), and Stroop color-word test (K-SCWT) were also evaluated along with the safety profiles. Results: One hundred thirty-six participants completed the study. After eight weeks, we analyzed intergroup differences in primary or secondary outcome score changes. When we compared the GEF group with the placebo group, we observed significant improvements in the K-ADAS and K-SCWT scores. The GEF group did not show a significant improvement in K-MMSE and BDI scores compared to the placebo group. No adverse events were observed in the gintonin and placebo groups for eight weeks. Conclusion: The GEF is safe and effective in improving subjective cognitive impairment related to both the K-ADAS and K-SCWT in this study. However, further large-scale and randomized controlled studies are warranted to secure other cognitive function tests besides the K-ADAS and K-SCWT, and to confirm the findings of the current study.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.3
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• pp.61-71
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• 2014

As the occupancy rate of the flash memory increases in the storage media market for the embedded system and the semi-conductor industry grows, the demand and supply of flash memory is increasing by a big margin. They are especially used in large quantity in the smart phones, tablets, PC, SSD and Soc(System on Chip) etc. The flash memory is divided into the NOR type and NAND type according to the cell arrangement structure and the NAND type is divided into the SLC(Single Level Cell) and MLC(Multi Level Cell) according to the number of bits that can be stored in each cell. Many tests have been performed on NOR type such as BIST(Bulit-In Self Test) and BIRA(Bulit-In Redundancy Analysis) etc, but there is little study on the NAND type. For the case of the existing BIST, the test can be proceeded using external equipments like ATE of high price. However, this paper is an attempt for the improvement of credibility and harvest rate of the system by proposing the BIST for the MLC NAND type flash memory of Finite State Machine structure on which the pattern test can be performed without external equipment since the necessary patterns are embedded in the interior and which uses the MLC NAND March(x) algorithm and pattern which had been proposed for the MLC NAND type flash memory.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.299-308
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• 2018

This study was conducted to examine the mediating effect of executive function deficiencies on the relationship between smartphone addiction and memory impairment and to suggest treatment implications for adults with smartphone addiction symptoms. For this study, 300 adults(146 males and 154 females) were conducted smartphone addiction scale, Barkley Deficits in Executive Functioning Scale-Short Form(BDEFS-SF), and Multifactorial Memory Questionnaire(MMQ). The results are as follows. First, correlation analyses showed that smartphone addiction, executive function deficiencies, and memory impairment were positively correlated. Second, Smartphone addiction group showed significantly higher scores on all of the subfactors of executive function and memory impairment. Third, Stepwise regression analyses revealed that self-organization/problem solving, self-management to time, self-restraint, and withdrawal were the best predictors of memory impairment. Forth, Executive function deficiencies fully mediated the relationship between smartphone addiction and memory impairment. These findings were considered to suggest that treatment programs for smartphone addiction group needed to include training for cognitive improvement such as executive function rehabilitation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.193-198
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• 2020

The various uses of the Convolutional Neural Network technology are accelerating the evolution of the computing area, but the opposite is causing serious hardware performance shortages. Neural network accelerators, next-generation memory device technologies, and high-bandwidth memory architectures were proposed as countermeasures, but they are difficult to actively introduce due to the problems of versatility, technological maturity, and high cost, respectively. This study proposes DRAM-based main memory technology that enables read operations to be completed without waiting until the end of the refresh operation using pre-stored XOR bit values, even when the refresh operation is performed in the main memory. The results showed that the proposed technique improved performance by 5.8%, saved energy by 1.2%, and improved EDP by 10.6%.

• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.369-378
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• 2004

In partially free word order languages like Korean and Japanese, the rule-based method is effective for text chunking, and shows the performance as high as machine learning methods even with a few rules due to the well-developed overt Postpositions and endings. However, it has no ability to handle the exceptions of the rules. Exception handling is an important work in natural language processing, and the exceptions can be efficiently processed in memory-based teaming. In this paper, we propose a hybrid of rule-based method and memory-based learning for Korean text chunking. The proposed method is primarily based on the rules, and then the chunks estimated by the rules are verified by memory-based classifier. An evaluation of the proposed method on Korean STEP 2000 corpus yields the improvement in F-score over the rules or various machine teaming methods alone. The final F-score is 94.19, while those of the rules and SVMs, the best machine learning method for this task, are just 91.87 and 92.54 respectively.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.6
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• pp.789-794
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• 2013

Hemorrhage is a devastating type of stroke, accounts for 15-20% of all strokes. This disease can cause cognitive dysfunction with a very high mortality rate. Cupping therapy of Traditional Korean medicine has frequently been used to relieve a variety of diseases or clinical conditions, although not in the memory loss after hemorrhage. This study was designed to evaluate the effects of cupping therapy on learning and memory with Y-maze test, as well as its effects on different molecular changes in hippocampus following the induction of hemorrhage in rats. Cupping, using vacuum cupping machine, was applied at target area for 5 min daily for 7 consecutive days, commencing 1 day after brain impairment. As a result, induction of hemorrhage enhanced memory deficit, suppressed brain-derived neurotrophin factor (BDNF) in the hippocampus. Cupping treatment effectively reversed collagenase-induced cognitive impairment in SD rats which was represented by improvement of spontaneous alterations in Y-maze test. In addition, BDNF expression was enhanced after cupping therapy. The present results suggest that the therapeutic effects of cupping treatment after hemorrhage is involved in expression of BDNF.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.35 no.10
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• pp.940-947
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• 2007

For the performance upgrade of a supersonic jet fighter, the processor and FLCC(Flight Control Computer) Architecture were upgraded from a baseline FLCC. Prior to the hardware implementation phase, the exact CPU throughput estimation is necessary. For this purpose, an experimental method for new FLCC throughput estimation was introduced in this study.　While baseline FLCC operating, the CPU address bus was collected with logic analyzer, and then decoded to get the exact access times to each memory-memory and the number of program Instruction branches. Based on these data, a throughput test in CPU demo-board of the new FLCC configuration was performed. From test results, the CPU-Memory architecture was design-changed before FLCC hardware implementation phase. To check the flight stability degradation due to power-interrupt problem due to CPU-Memory architecture change, the piloted HILS (Hardware-In-the Loop Simulator) test was conducted.