• The Journal of the Convergence on Culture Technology
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• 제4권3호
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• pp.261-267
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• 2018

In the present study, we assessed the effecs of fruit and vegetable bark resources rich in beneficial substances on the learning ability and memory improvement. It functions to inhibit the activity of acetylcholinesterase in brain tissue and improve cognitive functions in a simulation model of cognitive impairment induced by scopolamine. Hence, it can promote memory and learning ability. The formulation of the fruit and vegetable bark uses the extract of fruit and vegetable peels, which has long been used without causing toxicity in a wide range of food applications. Therefore, it can be used safely without a risk of side effects, even in the case of a long-term administration for the preventive purpose. Furthermore, the present study is a very beneficial study in the environment-friendly aspect in association with recycling of resources as it is based on the novel efficacies of fruit and vegetable barks which have been conventionally disposed as a refuse of fruits due to their poor sensory qualities despite the content of beneficial substances.

• Korean Journal of Food Science and Technology
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• 제47권6호
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• pp.779-784
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• 2015

This study was conducted to investigate the effect of herbs on memory improvement by focusing on their cholinergic functions in Tg2576 mice. Seven herbs were used to obtain extracts by using alcohol and water. In screening test for cholinergic activities of the extracts, acetylcholinesterase (AChE) activity was highly inhibited in Oenanthe javanica alcohol extract (OJAE, 18.76%) as compared with the others. The OJAE-treated Tg2576 (Tg-OJAE) groups showed the statistically significant increases of latency time in passive avoidance test. Also, it was found that the concentration of $A{\beta}1-42$ was significantly reduced in Tg-OJAE groups compared to non-treated Tg2576 groups. In the additional enzyme test, it was found that $IC_{50}$ of OJAE was $991.77{\mu}g/mL$ and OJAE acted as an uncompetitive inhibitor of AChE. Therefore, it seemed that OJAE can be used for the development of processed foods for memory improvement.

• Journal of Korea Multimedia Society
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• 제19권2호
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• pp.411-417
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• 2016

Since the development of Graphic Processing Unit (GPU) in 1999, the development speed of GPUs has become much faster than that of CPUs and currently, the computational power of GPUs exceeds CPUs dozens and hundreds times in terms of decimal calculations and costs much less. Owing to recent technological development of hardwares, general-purpose computing and utilization using GPUs are on the rise. Thus, in this paper, we have identified the elements to be considered for the Smart Grid Security. Focusing on a Performance Improvement of the Basic Algorithm for the Stateful Inspection to Detect DDoS Attacks using CUDA. In the program, we compared the search speeds of GPU against CPU while they search for the suffix trees. For the computation, the system constraints and specifications were made identical during the experiment. We were able to understand from the results of the experiment that the problem-solving capability improves when GPU is used. The other finding was that performance of the system had been enhanced when shared memory was used explicitly instead of a global memory as the volume of data became larger.

• Journal of Broadcast Engineering
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• 제19권2호
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• pp.227-239
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• 2014

This paper proposes an enhance prediction for conventional near-lossless coder to effectively lower external memory bandwidth in image processing SoC. First, we utilize an already reconstructed green component as a base of predictor of the other color component because high correlation between RGB color components usually exists. Next, we can improve prediction performance by applying variable block size prediction. Lastly, we use minimum internal memory and improve a temporal prediction performance by using a template dictionary that is sampled in previous frame. Experimental results show that the proposed algorithm shows better performance than the previous works. Natural images have approximately 30% improvement in coding efficiency and CG images have 60% improvement on average.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• 제20권2호
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• pp.179-185
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• 2020

DRAM is a major component of the main memory system. As the operating system evolves and application complexity and capacity increases, the capacity and speed of DRAM are also increasing. DRAM should perform a refresh action of periodically reading and then re-storing stored values, and the accompanying performance and power/energy overhead embodies characteristics that worsen as capacity increases. This study proposes an energy efficiency improvement technique that efficiently stores the rows that need to be refreshed within 64ms and 128ms using the bloom filter for cells with the lowest retention time of electrons. The results of the experiment showed that the proposed technique resulted in an average 5.5% performance improvement, 76.4% reduction in average refresh energy, and 10.3% reduction in average EDP.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• 제14권1호
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• pp.15-21
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• 2014

Due to the development of manufacturing technology scaling, more transistors can be placed on a cache memories of a processor. However, processors become more vulnerable to the soft errors because of highly integrated transistors, the reliability of cache memory must consider seriously at the design level. Various researches are proposed to overcome the vulnerability of soft error, but researches of tag bit are proposed very rarely. In this paper, we revaluate the reliability improvement technique for tag bit, and analyse the protection rate of write-back operation, which is a typical case of not satisfying temporal locality. We also propose the methodology to improve the protection rate of write-back operation. The experiments of the proposed scheme shows up to 76.8% protection rate without performance degradations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.3272-3285
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• 2016

Recently, Vector of Locally Aggregated Descriptors (VLAD) has been proposed to index image by compact representations, which encodes powerful local descriptors and makes significant improvement on search performance with less memory compared against the state of art. However, its performance relies heavily on the size of the codebook which is used to generate VLAD representation. It indicates better accuracy needs higher dimensional representation. Thus, more memory overhead is needed. In this paper, we enhance VLAD image representation by using two level hierarchical-codebooks. It can provide more accurate search performance while keeping the VLAD size unchanged. In addition, hierarchical-codebooks are used to construct multiple inverted files for more accurate non-exhaustive search. Experimental results show that our method can make significant improvement on both VLAD image representation and non-exhaustive search.

• Electrical & Electronic Materials
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• 제10권4호
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• pp.349-354
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• 1997

This paper aims at studying the improvement of test method for t-weight sensitive fault (t-wsf) detect. The development of RAM fabrication technology results in not only the increase at device density on chips but also the decrease in line widths in VLSI. But, the chip size that was large and complex is shortened and simplified while the cost of chips remains at the present level, in many cases, even lowering. First of all, The testing patterns for RAM fault detect, which is apt to be complicated , need to be simplified. This new testing method made use of Local Lower Bound (L.L.B) which has the memory with the beginning pattern of 0(l) and the finishing pattern of 0(1). The proposed testing patterns can detect all of RAM faults which contain stuck-at faults, coupling faults. The number of operation is 6N at 1-weight sensitive fault, 9,5N at 2-weight sensitive fault, 7N at 3-weight sensitive fault, and 3N at 4-weight sensitive fault. This test techniques can reduce the number of test pattern in memory cells, saving much more time in test, This testing patterns can detect all static weight sensitive faults and pattern sensitive faults in RAM.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2017년도 추계학술대회
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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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• 제19권6호
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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.