• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.9
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• pp.1544-1572
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• 2011

Task placement and scheduling are traditionally studied in following aspects: resource utilization, application throughput, application execution latency and starvation, and recently, the studies are more on application scalability and application performance. A methodology for task placement and scheduling centered on tasks based on virtual machines is studied in this paper to improve the performances of systems and dynamic adaptability in applications development and deployment oriented parallel computing. For parallel applications with no real-time constraints, we describe a thought of feature model and make a formal description for four layers of task placement and scheduling. To place the tasks to different layers of virtual computing systems, we take the performances of four layers as the goal function in the model of task placement and scheduling. Furthermore, we take the personal preference, the application scalability for a designer in his (her) development and deployment, as the constraint of this model. The workflow of task placement and scheduling based on virtual machines has been discussed. Then, an algorithm TPVM is designed to work out the optimal scheme of the model, and an algorithm TEVM completes the execution of tasks in four layers. The experiments have been performed to validate the effectiveness of time estimated method and the feasibility and rationality of algorithms. It is seen from the experiments that our algorithms are better than other four algorithms in performance. The results show that the methodology presented in this paper has guiding significance to improve the efficiency of virtual computing systems.

• Journal of the Korea Society for Simulation
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• v.26 no.3
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• pp.13-22
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• 2017

This research proposes and applies a pipelining parallel processing technique to enhance the speed of visualizing the results of real-time simulations. Generally, a simulation with real-time visualization consists of three processes: executing a simulation model, transmitting simulation result, and visualizing simulation result. If we have these processes in serial, the latency from simulation to visualization will be very long, which degrades the speed of visualization of data from real-time simulation. Thus, the main purpose of this research is maximizing performance by adapting pipelining parallel processing technique to the real-time simulation visualization. Also we show that performance is improved by adding multi-threading technique to each process. This paper proposes a theoretical performance model and simulation results of the techniques and then we applied this to an air combat simulation model as a case study. As the result, it shows that the performance is greatly enhanced than the original model's execution time.

• The Korean Journal of Pain
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• v.35 no.2
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• pp.173-182
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• 2022

Background: Neurokinin-1 (NK1) and calcitonin gene-related peptide (CGRP) play a vital role in pain pathogenesis, and these proteins' antagonists have attracted attention as promising pharmaceutical candidates. The authors investigated the anti-nociceptive effect of co-administration of the CGRP antagonist and an NK1 antagonist on pain models compared to conventional single regimens. Methods: C57Bl/6J mice underwent sciatic nerve ligation for the neuropathic pain model and were injected with 4% formalin into the hind paw for the inflammatory pain model. Each model was divided into four groups: vehicle, NK1 antagonist, CGRP antagonist, and combination treatment groups. The NK1 antagonist aprepitant (BIBN4096, 1 mg/kg) or the CGRP antagonist olcegepant (MK-0869, 10 mg/kg) was injected intraperitoneally. Mechanical allodynia, thermal hypersensitivity, and anxiety-related behaviors were assessed using the von Frey, hot plate, and elevated plus-maze tests. The flinching and licking responses were also evaluated after formalin injection. Results: Co-administration of aprepitant and olcegepant more significantly alleviated pain behaviors than administration of single agents or vehicle, increasing the mechanical threshold and improving the response latency. Anxiety-related behaviors were also markedly improved after dual treatment compared with either naive mice or the neuropathic pain model in the dual treatment group. Flinching frequency and licking response after formalin injection decreased significantly in the dual treatment group. Isobolographic analysis showed a meaningful additive effect between the two compounds. Conclusions: A combination pharmacological therapy comprised of multiple neuropeptide antagonists could be a more effective therapeutic strategy for alleviating neuropathic or inflammatory pain.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.3
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• pp.89-100
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• 2023

Recently, on-device artificial intelligence (AI) solutions using mobile devices and embedded edge devices have emerged in various fields, such as computer vision, to address network traffic burdens, low-energy operations, and security problems. Although vision transformer deep learning models have outperformed conventional convolutional neural network (CNN) models in computer vision, they require more computations and parameters than CNN models. Thus, they are not directly applicable to embedded edge devices with limited hardware resources. Many researchers have proposed various model compression methods or lightweight architectures for vision transformers; however, there are only a few studies evaluating the effects of model compression techniques of vision transformers on performance. Regarding this problem, this paper presents a performance evaluation of vision transformers on embedded platforms. We investigated the behaviors of three vision transformers: DeiT, LeViT, and MobileViT. Each model performance was evaluated by accuracy and inference time on edge devices using the ImageNet dataset. We assessed the effects of the quantization method applied to the models on latency enhancement and accuracy degradation by profiling the proportion of response time occupied by major operations. In addition, we evaluated the performance of each model on GPU and EdgeTPU-based edge devices. In our experimental results, LeViT showed the best performance in CPU-based edge devices, and DeiT-small showed the highest performance improvement in GPU-based edge devices. In addition, only MobileViT models showed performance improvement on EdgeTPU. Summarizing the analysis results through profiling, the degree of performance improvement of each vision transformer model was highly dependent on the proportion of parts that could be optimized in the target edge device. In summary, to apply vision transformers to on-device AI solutions, either proper operation composition and optimizations specific to target edge devices must be considered.

• Journal of Acupuncture Research
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• v.21 no.2
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• pp.115-129
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• 2004

Objectives : To investigate the analgesic effect and its cholinergic mechanism of electroacupuncture(EA) in the rat model of collagen-induced arthritis(CIA). Methods : Immunization of male Sprague-Dawley rats with bovine typeII (CII) collagen emulsified in Freund's incomplete adjuvant, followed by a booster injection 14 days later, leads to development of arthritis in more than 70% of rats by 21 days postinjection. After three weeks of first immunization, EA stimulation(2 Hz, 0.07 mA, 0.3 ms) was delivered into Jogsamni($ST_{36}$) for 30 minutes. Analgesic effect was evaluated by tail flick latency(TFL). We compared the analgesic effect of EA with TFLs between pretreatment of normal saline and pretreatment of Atropine (1 mg/kg, intraperitoneal) and Neostigmine ($100{\mu}g/kg$, intraperitoneal) in CIA. Results : 1. TFLs were gradually decreased in CIA as increasing severity of arthritis. 2. Jogsamni($ST_{36}$) EA stimulation in CIA increased TFLs and the effect lasted for 60 minutes. 3. Increased TFLs with Jogsamni($ST_{36}$) EA stimulation were inhibited with pretreatment of atropine in CIA 4. Increased TFLs with Jogsamni($ST_{36}$) EA stimulation did not show an obvious synergistic effect with pretreatment of neostigmine in CIA. Conclusions: Jogsamni($ST_{36}$) EA showed analgesic effects in CIA. The analgesic effects of Jogsamni($ST_{36}$) EA were inhibited by atropine pretreatment and combined application of Jogsamni(ST36) EA and neostigmine did not show an synergistic effect. These observations suggest that intrinsic muscarinic cholinergic pathways represent an important modulating system in pain perception of inflammatory pain in CIA It is suggested that, the active mechanism of analgesic effect in EA may involve the release of acetylcholine in the spinal cord.

• Journal of Oriental Neuropsychiatry
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• v.19 no.3
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• pp.69-84
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• 2008

Objective: This experiment was designed to investigate the effects of the KBHT hot water extract & ultra-fine powder on Alzheimer's Disease Model Induced by $\beta$A. Method: The effects of the KBHT hot water extract on expression of proinflammatory cytokine mRNA in BV2 microglial celll cell line treated by lipopolysacchaide(LPS). The effects of the KBHT hot water extract & ultra-fine powder on (1) the behavior (2) AChE in serum (3) the infarction area of the hippocampus, and brain tissue injury in Alzheimer's diseased mice induced with $\beta$A were investigated. Results: 1. The KBHT hot water extract suppressed the expression of proinflammatory cytokine mRNA in BV2 microglial cell line treated with LPS. 2. The KBHT 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 and distance movement-through latency 3. The KBHT hot water extract & ultra-fine powder suppressed the over-expression of AChE activity in the serum of the mice with Alzheimer's disease induced by $\alpha$A. 4. The KBHT hot water extract & ultra-fine powder suppressed the expression of TNF-$\alpha$, IL-l$\beta$ protein significantly in the microglial cell of mice with Alzheimer's disease induced by 1$\beta$A. 5. The KBHT ultra-fine powder reduced infarction area of hippocampus significantly in the mice with Alzheimer's disease induced by $\beta$A. Conclusions: These results suggest that the KBHT hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the PMCMT 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.28 no.2 s.70
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• pp.137-154
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• 2007

Objective : This experiment was designed to investigate the effect of the GYZB hot water extract & ultra-fine powder on the Alzheimer's disease model induced by amyloid ${\beta}$ protein (${\beta}A$). Method : We measured the effects of the GYZB hot water extract on expression of $IL-1{\beta}$, IL-6 mRNA and production of IL-6, $TNF-{\alpha}$ in the BV2 microglial cell line treated with lipopolysaccharide (LPS). The effects of the GYZB hot water extract & ultra-fine powder on (1) the behavior, (2) expression of $IL-1{\beta}$ and $TNF-{\alpha}$, (3) glucose in serum, (4) the infarction area of the hippocampus, and brain tissue injury in mice induced with Alzheimer's diseased by ${\beta}A$ were investigated. Results : The GYZB hot water extract suppressed the expression of $IL-1{\beta}$ and IL-6 mRNA and significantly suppressed the production of IL-6 and $TNF-{\alpha}$ in the BV2 microglial cell line treated with LPS. The GYZB hot water extract & ultra-fine powder showed a significant inhibitory effect on the memory deficit of the mice with Alzheimer's disease induced by ${\beta}A$ in the Morris water maze experiment, which measured stop-through latency and distance movement-through latency. The GYZB ultra-fine powder significantly suppressed the expression of $IL-1{\beta}$ and $TNF-{\alpha}$ protein, and the GYZB hot water extract significantly suppressed the expression of $TNF-{\alpha}$ protein in the microglial cell of mice with Alzheimer's disease induced by ${\beta}A$. The GYZB hot water extract & ultra-fine powder reduced the infarction area of hippocampus in the mice with Alzheimer's disease induced by ${\beta}A$. Conclusions : These results suggest that GYZB hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of GYZB for Alzheimer's disease is suggested for future research.

• Journal of Oriental Neuropsychiatry
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• v.19 no.2
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• pp.77-93
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• 2008

Objective : This experiment was designed to investigate the effect of the CBD hot water extract & ultra-fine Powder on Alzheimer's Disease Model Induced by ${\beta}A$. Method : The effects of the CBD hot water extract on expression of interleukin-1 beta($IL-1{\beta}$), $TNF-{\alpha}$ mRNA and production of IL-6, $TNF-{\alpha}$ in BV2 microglial cell line treated by lipopolysacchaide(LPS). The effects of the CBD hot water extract & ultra-fine powder on (1) the behavior (2) expression of $IL-1{\beta}$, tumor necrosis factor-alpha($TNF-{\alpha}$), (3) the infarction area of the hippocampus in Alzheimer's diseased mice induced with ${\beta}A$ were investigated. Result : The CBD hot water extract suppressed the expression of $IL-1{\beta}$, $TNF-{\alpha}$ mRNA in BV2 microglia cell line treated with LPS. The CBD hot water extract significantly suppressed the production of $IL-1{\beta}$, $TNF-{\alpha}$ in BV2 microglial cell line treated with LPS. The CBD 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 and distance movement-through latency. The CBD hot water extract & ultra-fine powder significantly suppressed the expression of $IL-l{\beta}$ and $TNF-{\alpha}$ protein in the microglial cell of mice with Alzheimer's disease induced by ${\beta}A$. The CBD hot water extract & ultra-fine powder suppressed the over-expression of AChE activity in the serum of the mice with Alzheimer's disease induced by ${\beta}A$. The CBD hot water extract & ultra-fine powder reduced infarction area of hippocampus, in the mice with Alzheimer's disease induced by ${\beta}A$. Conclusions : These results suggest that the CBD hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the CBD hot water extract & ultra-fine powder for Alzheimer's disease is suggested for future research.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.4
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• pp.921-933
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• 2007

This experiment was designed to investigate the effects of the KBCMT hot water extract & ultra-fine powder on Alzheimer's Disease Model Induced by ${\beta}A$. The effects of the KBCMT hot water extract on expression of $IL-1{\beta}$, IL-6, $TNF-{\alpha}$, NOS-II, COX-2 mRNA and production of $IL-1{\beta}$, IL-6, $TNF-{\alpha}$, NO in BV2 microglial cell line treated by lipopolysacchaide(LPS). The effects of the KBCMT hot water extract & ultra-fine powder on (1) the behavior (2) expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, CD68 and CD11b; (3) 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 KBCMT hot water extract suppressed the expression of $IL-1{\beta}$, IL-6 and $TNF-{\alpha}$ mRNA in BV2 microglia cell line treated with LPS. The KBCMT hot water extract suppressed the production of $IL-1{\beta}$, IL-6, $TNF-{\alpha}$, NO in BV2 microglial cell line treated with LPS. The KBCMT 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 and distance movemet-through latency The KBCMT 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 KBCMT 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 KBCMT hot water extract & ultra-fine powder decreased AChE significantly in the serum of the mice with Alzheimer's disease induced by ${\beta}A$. The KBCMT 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 KBCMT 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 KBCMT hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the KBCMT hot water extract & ultra-fine powder for Alzheimer's disease is suggested for future research.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.1
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• pp.693-700
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• 2009

For real-time precise GPS data processing such as a long baseline network RTK (Real-Time Kinematic) survey, PPP (Precise Point Positioning) and monitoring of ionospheric/tropospheric delays, it is necessary to guarantee accuracy comparable to IGS (International GNSS Service) precise orbit with no latency. As a preliminary study for determining near real-time satellite orbits, the general procedures of satellite orbit determination, especially the dynamic approach, were studied. In addition, the transformation between terrestrial and inertial reference frames was tested to integrate acceleration. The IAU 1976/1980 precession/nutation model showed a consistency of 0.05 mas with IAU 2000A model. Since the IAU 2000A model has a large number of nutation components, it took more time to compute the transformation matrix. The classical method with IAU 2000A model was two times faster than the NRO (non-rotating origin) approach, while there is no practical difference between two transformation matrices.