• Journal of KIISE:Computer Systems and Theory
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• v.27 no.8
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• pp.719-729
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• 2000

Prefetching aims at reducing memory latency by fetching, in advance, data that are likely to be requested by the processor in a near future. The effectiveness of prefetching is determined by how accurate the prediction on the needed instructions and data is. Most previous studies on prefetching were limited to proposing a particular prefetch scheme and its performance evaluation, paying little attention to theoretical aspects of prefetching. This paper focuses on the theoretical aspects of instruction prefetching. For this purpose, we propose a clairvoyant prefetch model that makes use of perfect history information. Based on this theoretical model, we analyzed upper limits on the prefetch prediction accuracies of the SPEC benchmarks. The results show that the prefetch prediction accuracy is very high when there is no cache. However, as the size of the instruction cache increases, the prefetch prediction accuracy drops drastically. For example, in the case of the spice benchmark, the prefetch prediction accuracy drops from 53% to 39% when the cache size increases from 2Kbyte to 16Kbyte (assuming 16byte block size). These results indicate that as the cache size increases, most localities are captured by the cache and that instruction prefetching based on the information extracted from the references that missed in the cache suffers from prediction inaccuracies

• Journal of Oriental Neuropsychiatry
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• v.15 no.1
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• pp.43-64
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• 2004

The aim of this study was to evaluate the effects of Jowiseungcheongtang compared with St. John's wort in the chronic mild stress(CMS) animal model of depression. Wistar rats were used for this study. The subjects were divided into 4 groups (Naive group: without CMS procedure, CMS-vehicle: water was administered during CMS procedure, CMS-Jowiseungcheongtang: Jowiseungcheongtang was administered after 5 weeks of CMS procedure, CMS-St. John's wort: St. John's wort was administered after 5 weeks of CMS procedure) During 9 weeks of CMS procedure, The change of the consumption of sucrose and the changes of weights were measured. After CMS procedure, Morris water maze test, open field test, elevated plus maze test and Western blotting were measured. The results were as follows. 1. The consumption of sucrose solution was significantly reversed in Jowiseungcheongtang group and relatively reversed in St. John's Wort group at 7 week. 2. In open field test, Neither Jowiseungcheongtang nor St. John's wort group showed statistically significant change of exploratory activity. In EPM test, St. John's Wort group showed significant decrease of total arm entry in comparison with Naive group. And Jowiseungcheongtang group was showed no significant change. 3. In Morris water maze test, St. John's Wort group showed significant increase in escape latency of the last Morris water maze trial. And in water maze probe test, there was no significant change. 4. St. John's Wort group showed relative increase in LP1 division of 5HT1A receptor compared with Naive group. Both St. John's Wort and Jowiseungcheongtang group showed relative increase in P2 division of GluRl compared with Naive group. These results suggest that Jowiseungcheongtang is as effective as St. John's Wort in the treatment of depression.

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.5
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• pp.1178-1191
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• 2008

This experiment was designed to investigate the effect of the SSJHT hot water extract & ultra-fine Powder on Alzheimer's Disease Model Induced by ${\beta}A$. The effects of the SSJHT hot water extract on expression of IL-1RA, $IL-1{\beta}$$, IL-6, IL-10, $TNF-{\alpha}$, NOS-II, COX-2 mRNA and production of $IL-1{\beta}$, IL-6, $TNF-{\alpha}$ in BV2 microglial cell line treated by lipopolysacchaide(LPS). The effects of the SSJHT hot water extract & ultra-fine powder on (1) the behavior (2) expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, CD68, CD11b and AChE (3) and the infarction area of the hippocampus in Alzheimer's diseased mice induced with ${\beta}A$ were investigated. The SSJHT hot water extract suppressed the expression of $IL-1{\beta}$, IL-6 and $TNF-{\alpha}$, NOS-II, COX-2 mRNA and increased IL-1RA, IL-10 in BV2 microglia cell line treated with LPS. The SSJHT hot water extract suppressed the production of $IL-1{\beta}$, IL-6, $TNF-{\alpha}$ significantly in BV2 microglial cell line treated with LPS. The SSJHT hot water extract & ultra-fine powder a significant inhibitory effect on the memory deficit was shown for the mice with Alzheimer's disease induced by ${\beta}A$ in the Morris water maze experiment, which measured step-through latency. The SSJHT hot water extract & ultra-fine powder suppressed the expression of $TNF-{\alpha}$$, $L-1{\beta}$ protein significantly in the microglial cell of mice with Alzheimer's disease induced by ${\beta}A$. The SSJHT hot water extract & ultra-fine powder reduced the MDA and suppressed the over-expression of CD68, CD11b in the mice with Alzheimer's disease induced by ${\beta}A$. The SSJHT hot water extract & ultra-fine powder significantly decreased AChE activity in the serum of the mice with Alzheimer's disease induced by ${\beta}A$. The SSJHT hot water extract & ultra-fine powder reduced infarction area of hippocampus. and controlled the injury of brain tissue in the mice with Alzheimer's disease induced by ${\beta}A$. The results suggest that the SSJHT hot water extract & ultra-fine powder may be effective for treatment of Alzheimer's disease. Investigation into the clinical use of the SSJHT hot water extract & ultra-fine powder for Alzheimer's disease is suggested for future research.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.37-47
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• 2018

The number of capabilities of Internet of Things (IoT) devices will exponentially grow over the next years. These devices may generate a vast amount of time-constrained data. In the context of IoT, data management should act as a layer between the objects and devices generating the data and the applications accessing the data for analysis purposes and services. In addition, most of IoT services will be content-centric rather than host centric to increase the data availability and the efficiency of data delivery. IoT will enable all the communication devices to be interconnected and make the data generated by or associated with devices or objects globally accessible. Also, fog computing keeps data and computation close to end users at the edge of network, and thus provides a new breed of applications and services to end users with low latency, high bandwidth, and geographically distributed. In this paper, we propose Edge-Fog cloud-based Hierarchical Data Delivery ($EFcHD^2$) method that effectively and reliably delivers IoT data to associated with IoT applications with ensuring time sensitivity. The proposed $EFcHD^2$ method stands on basis of fully decentralized hybrid of Edge and Fog compute cloud model, Edge-Fog cloud, and uses information-centric networking and bloom filters. In addition, it stores the replica of IoT data or the pre-processed feature data by edge node in the appropriate locations of Edge-Fog cloud considering the characteristic of IoT data: locality, size, time sensitivity and popularity. Then, the performance of $EFcHD^2$ method is evaluated through an analytical model, and is compared to fog server-based and Content-Centric Networking (CCN)-based data delivery methods.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.3
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• pp.688-699
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• 2007

This experiment was designed to investigate the effect of the SST hot water extract & ultra-fine Powder on Alzheimer's Disease Model Induced by ${\beta}$A. The effects of the SST hot water extract on expression of IL-1${\beta}$, IL-6, TNF-${\alpha}$, NOS-II, COX-2 mRNA and production of IL-l${\beta}$, IL-6, TNF-${\alpha}$, NO in BV2 microglial cell line treated by lipopolysacchaide(LPS). The effects of the SST hot water extract & ultra-fine powder on (1) the behavior (2) expression of IL-1${\beta}$, TNF-${\alpha}$, MDA, (3) Glucose, AChE in serum (4) the infarction area of the hippocampus, and brain tissue injury in Alzheimer's diseased mice induced with ${\beta}$A were investigated. The SST hot water extract suppressed the expression of IL-1${\beta}$, IL-6 and TNF-a mRNA ${\alpha}$in BV2 microglia cell line treated with LPS. The SST hot water extract suppressed the production of IL-1${\beta}$, IL-6, TNF-${\alpha}$, NO in BV2 microglial cell line treated with LPS. The SST hot water extract & ultra-fine powder a significant inhibitory effect on the memory deficit was shown for the mice with Alzheimer's disease induced by ${\beta}$A in the Morris water maze experiment, which measured stop-through latency. The SST ultra-fine powder suppressed the expression of TNF-a protein significantly in the microglial cell of mice with Alzheimer's disease induced by ${\beta}$A. The SST hot water extract & ultra-fine powder reduced the MDA and suppressed the over-expression of CD68, CD11b in the mice with Alzheimer's disease induced by ${\beta}$A. The SST hot water extract & ultra-fine powder decreased AChE significantly in the serum of the mice with Alzheimer's disease induced by ${\beta}$A. The SST hot water extract & ultra-fine powder reduced infarction area of hippocampus, and controlled the injury of brain tissue in the mice with Alzheimer's disease induced by ${\beta}$A. The SST hot water extract & ultra-fine powder reduced the tau protein, GFAP, and presenilin1, 2 of hippocampus in the mice with Alzheimer's disease induced by ${\beta}$A. These results suggest that the SST hot water extract & ultra-fine powder may be effective for the prevention and treatment of A1zheimer's disease. Investigation into the clinical use of the SST hot water extract & ultra-fine powder for Alzheimer's disease is suggested for future research.

• The Journal of Korean Medicine
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• v.40 no.1
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• pp.63-77
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• 2019

Objectives: The purpose of this study is to examine the effect of water and fermentation extracts of KMS (Kami-Mihudeongsikjang-tang) on AD (atopic dermatitis). Additionally, by applying the fermentation extracts of KMS at the first sensitization and latency period, I investgated whether it could prevent AD. Methods: In this study, to test the effect and preventive efficacy of KMSs on AD. DNCB-induced BALB/c mice of AD model was used. Through histological observation, epidermis and dermis thickness, the infiltration of eoshiphils and mast cells in epidermis and dermis were examined. We measured the serum level of IgE and IL-6, TNF-alpha, and the expressions of $NF-{\kappa}B$ and MAPK protein. In order to examine the effect of KMSs on keratinocyte, HaCaT cells were treated TNF-alpha and IFN-gamma to induce an inflammatory response. The KMSs were applied at various concentration in the experimental group. We investigated TARC expression. Results: The treatment groups were reduced epidermis and dermis thickness, inhibited the infiltration of eosinophils and mast cells, reduced the serum level of IL-6. Moreover, sfKMS group reduced serum level of TNF-alpha, inhibited the protein expressions of $NF-{\kappa}B$ and the phosphoryllation of ERK, JNK and p38. Especially sfKMS-pre group were reduced the serum level of IgE, show significant inhibition on the protein expression of $NF-{\kappa}B$ and the phosphoryllation of ERK, JNK and p38. In the experiment on HaCaT cells, sfKMS group were reduced expression of TARC. Conclusions: These result suggest that wKMS and sfKMS was effective in the treament on AD, and sfKMS would prevent AD.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.3
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• pp.141-148
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• 2021

This paper presents a method to detect zebra-crossing using deep learning which combines SegNet and ResNet. For the blind, a safe crossing system is important to know exactly where the zebra-crossings are. Zebra-crossing detection by deep learning can be a good solution to this problem and robotic vision-based assistive technologies sprung up over the past few years, which focused on specific scene objects using monocular detectors. These traditional methods have achieved significant results with relatively long processing times, and enhanced the zebra-crossing perception to a large extent. However, running all detectors jointly incurs a long latency and becomes computationally prohibitive on wearable embedded systems. In this paper, we propose a model for fast and stable segmentation of zebra-crossing from captured images. The model is improved based on a combination of SegNet and ResNet and consists of three steps. First, the input image is subsampled to extract image features and the convolutional neural network of ResNet is modified to make it the new encoder. Second, through the SegNet original up-sampling network, the abstract features are restored to the original image size. Finally, the method classifies all pixels and calculates the accuracy of each pixel. The experimental results prove the efficiency of the modified semantic segmentation algorithm with a relatively high computing speed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.140-142
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• 2021

Mobile communication technology after 5th generation requires high speed, hyper-connection, and low latency communication. In order to meet technical requirements for secure hyper-connectivity, low-spec IoT devices that are considered the end of IoT services must also be able to provide the same level of security as high-spec servers. For the purpose of performing these security functions, it is required for cryptographic keys to have the necessary degree of stability in cryptographic algorithms. Cryptographic keys are usually generated from cryptographic random number generators. At this time, good noise sources are needed to generate random numbers, and hardware random number generators such as TRNG are used because it is difficult for the low-spec device environment to obtain sufficient noise sources. In this paper we used the chip which is based on quantum characteristics where the decay of radioactive isotopes is unpredictable, and we presented a variety of methods (TRNG) obtaining an entropy source in the form of binary-bit series. In addition, we conducted the NIST SP 800-90B test for the entropy of output values generated by each TRNG to compare the amount of entropy with each method.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.34 no.3
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• pp.250-265
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• 2008

Distraction osteogenesis is a well-established clinical treatment for limb length discrepancy and skeletal deformities. Appropriate mechanical tension-stress is believed not to break the callus but rather to stimulate osteogenesis. In contrast to fracture healing, the mode of bone formation in distraction osteogenesis is primarily intramembranous ossification. Although the biomechanical, histological, and ultrastructural changes associated with distraction osteogenesis have been widely described, the basic biology of the process is still not well known. Moreover, the molecular mechanisms in distraction osteogenesis remain largely unclear. Recent studies have implicated the growth factor cascade is likely to play an important role in distraction. And current reserch suggested that mechanical tension-stress modulates cell shape and phenotype, and stimulates the expression of the mRNA for bone matrix proteins. The purpose of this study is to examine the pattern of expression of growth factors($TGF-{\beta}1$, IGF-I, bFGF) and extracellular matrix proteins(osteoclacin, osteonectin) related to osteogenesis by osteodistraction of the mandible in rabbits. 24 rabbits is used for this experiment. Experimental group are gradual distraction(0.7mm, twice/day), acute distraction(1.4mm, twice/day) and control group is only osteotomized. After 5 days latency, osteotomic site is distracted for each 7 days and 3.5 days. Consolidation period is 28 days. The animal is sacrificed at the 3th, 7th, 14th, 28th. The distracted bone is examined by immunohistochemical analysis and RT-PCR analysis. The results obtained from this study were as follow : No significant difference was found on clinical examination according to distraction rate, but gradual distraction was shown to improve regenerate bone formation on radiographic and histologic examination. Growth factors and extracelluar matrix proteins expression increased in distraction group than control group. From these results, it could be stated that graudal distraction is shown to improve and accelerate bone formation and mechanical stress like distraction has considerable effects on osteogenesis related factors. And rabbit is the most appropriate animal model for further reseach on the molecular mechanisms that mediate osteodistraction. It is believed that understanding the biomolecular mechanisms that mediate distraction osteogenesis may guide the development of targeted strategies designed to improve distraction osteogenesis and accelerate bone healing.

• Korean Journal of Food Science and Technology
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• v.47 no.6
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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.