International journal of advanced smart convergence
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v.8
no.3
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pp.54-60
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2019
In this paper, a localization system for indoor objects is proposed. The proposed system consists of Beacons, LED Cells, Main Cell Controller (MCC), and Display. A Beacon is attached at each indoor object, and each LED cell has Beacon Scanner and VLC Transmitter. The Visual Light Communications (VLC) and Power Line Communications (PLC) methods are used to communicate the signals for localization of indoor objects. And the proposed system is designed, and implemented as a prototype. To certify that our propose d system can exactly localize a given indoor object, we take test for the implemented system as a p rototype. Here the location of the given indoor object is known. Test is done in two ways. The first is to check the operation of the detail of the system, and the second is the position recognition of i ndoor object. The second is the test of the implemented system to correctly detect the location of the indoor object with Beacon, while the object with Beacon is moved from location C to A. The experimental result shows that the system is exactly detect the moving locations. The system has the advantages of using previously installed power lines, and it does not need to use LAN lines or optical cables. The proposed system is usefully applied to indoor object localization area.
Retina transforms the external light into electrical signal that stimulates visual cortex of the brain. Electrical modeling of the retina is useful to understand its structure and action that is a prerequisite to implement the retina as a hardware device. This paper introduces a 2-D electrical network model of vertebrate's retina considering signal pathway of retinal cells and synapses. We implemented a simulator of the retina based on the electrical network model to analyze its operation under various circumstances. Compared to the prior studies, It might contribute designing of artificial retina device in terms of that this study specifically observed input and output reactions of each cell and synapse node under various light intensity on the retina.
Kim, Jee-Eun;Seok, Jin Myoung;Ahn, Suk-Won;Yoon, Byung-Nam;Lim, Young-Min;Kim, Kwang-Kuk;Kwon, Ki-Han;Park, Kee Duk;Suh, Bum Chun;Korean Society of Clinical Neurophysiology Education Committee
Annals of Clinical Neurophysiology
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v.21
no.1
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pp.7-15
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2019
Clinical evaluations, nerve conduction studies, and electromyography play major complementary roles in electrophysiologic diagnoses. Electromyography can be used to assess pathologic changes and localize lesions occurring in locations ranging from motor units to anterior-horn cells. Successfully performing electromyography requires knowledge of the anatomy, physiology, and pathology of the peripheral nervous system as well as sufficient skill and interpretation ability. Electromyography techniques include acquiring data from visual/auditory signals and performing needle positioning, semiquantitation, and interpretation. Here we introduce the basic concepts of electromyography to guide clinicians in performing electromyography appropriately.
In this study, a new approach using electrical resistivity measurement was proposed to detect grout penetration and to evaluate the grouting performance for such as waterproof efficiency in single rock fracture. For this purpose, an electrical resistivity monitoring system was designed to collect multi-channel data in real time. This was applied to a system for grout injection/penetration using a transparent fracture replica with various aperture sizes and water-cement mix ratio. The electrical resistivity was measured under various grout penetration conditions in real time, which results were directly compared to the visual observation images of grout penetration/distribution. Moreover, the grouting success status after the curing process was evaluated by measuring the electrical resistivity in relation to changes in frequency in fracture cells where grout injection and penetration were completed. Consequently, it was determined that the electrical resistivity monitoring system could be applied effectively to the detection of successful penetration of grouting into a target area and to actual field evaluation of the grouting performance and long-term stability of underground rock structures.
The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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v.33
no.2
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pp.83-99
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2020
Objectives : Atopic dermatitis is a chronic inflammatory skin disease with frequent relapses. This study was to investigate the effects of Gammakdaejo-tang(GMD) in DNCB induced atopic dermatitis mice. Methods : The study was divided into five comparion groups. 2,4-dinitrochlorobenzene(DNCB) solution was applied to Nc/Nga mice to induce atopic dermatitis, followed by normal group, negative control group with distilled water, positive control group with Dexamethasione and GMD 200mg/kg or 400mg/kg. The control group was orally administered 200㎕ once daily for 4 weeks. Visual skin condition, Immunoglobulin E, Histamine, Cytokine, Immune cells, Tissue biomarkers were observed. Results : As a result of the dermatitis score evaluation, it was confirmed that the GMD-administered group improved symptoms compared to the negative control group. As a result of measuring IgE, the GMD-administered group significantly decreased compared to the negative control group. As a result of measuring Histamine, GMD group except 200mg/kg of GMD significantly decreased compared to negative control group. As a result of measuring cytokine, GMD 200mg/kg significantly reduced IL-1β, IL-6 and TNF-α compared to the negative control. 400mg/kg significantly reduced IL-1β, IL-4, IL-5, IL-6, IL-10, TNF-α and significantly increased IL-2, IFNγ. As a result of confirming the immune cells, all experimental groups showed no difference in basophil, GMD group significantly reduced monocyte and eosinophil compared to negative control group, and GMD 400mg/kg group significantly reduced white blood cell and neutrophil. And significantly increased lymphocytes. As a result of measuring the gene expression level, all GMD group significantly increased TGF-β1 compared with the negative control group, and filaggrin, VEGF and EGF were significantly increased in GMD 400mg/kg group. Epidermis, dermis thickness, and eosinophil infiltration were found to be decreased in all GMD groups compared with the negative control group. Conclusions : GMD is effective in atopic dermatitis by reducing imbalance of immune response of T cells (Th1 / Th2) and reducing skin tissue damage and inflammatory response.
Kim, Ji-Eun;Lee, Ho-Chan;Kang, Eun-Jeong;Choi, Jung-Wha;Kim, Jong-Han;Park, Soo-Yeon;Jung, Min-Yeong
The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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v.32
no.3
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pp.58-76
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2019
Objectives : This study was designed to examine the effects of Daecheonglyong-tang(DCL) on atopic dermatitis induced by DNCB in mice Methods : The Nc/Nga mice were divided into 5 groups, and four groups excluding the normal group were applied by 2,4-dinitrochlorobenzene(DNCB), to cause AD and were orally administered with distilled water(negative control), dexamethasone(positive control), and DCL 200 or 400mg/kg once a day for 4 weeks respectively. The visual changes on skin, changes in skin tissue thickness and eosinophil infiltration were observed. IgE, Histamine, Cytokines, immune cells and the amount of gene expression of filaggrin, VEGF, $TGF-{\beta}1$, EGF were measured. Results : Dermatitis score showed a gross improvement on all DCL groups, similar to or better than positive control. All DCL groups showed no significant change in the basophils, while neutrophils and eosinophils decreased. In only DCL 400 mg/kg groups, white blood cells and mononuclear cells were decreased and lymphocytes were increased. In particular, neutrophils had similar or better effects than the positive control. In all DCL groups, IgE, Histamine, $IL-1{\beta}$, IL-4, IL-5, IL-6 and $TNF-{\alpha}$ were decreased and IL-2 was increased. In only DCL 400 mg/kg groups, IL-10 decreased and $IFN-{\gamma}$ increased. In particular, $IL-1{\beta}$ and $IFN-{\gamma}$ showed a similar rate of increase and decrease comparing positive control in DCL 400 mg/kg. $TGF-{\beta}$1 was increased in all DCL groups, filaggrin and VEGF were increased in only DCL 400 mg/kg groups. EGF did not make any changes. Epidermis, dermis thickness and eosinophil infiltration were also decreased in all DCL groups. Conclusions : By increasing Th1 cytokine and decreasing Th2 cytokine, DCL extracts appear to be effective in controlling immune response imbalances, anti-inflammatory and skin regeneration and are likely to be available as a treatment for AD.
The present study focused on establishing the effects of interferon-gamma (IFN-${\gamma}$) on interleukin-18 (IL-18) expression patterns and pregnancy outcomes in pregnant rats. Pregnant rats at the post-implantation stage were randomized into control, low IFN-${\gamma}$ (L-IFN-${\gamma}$) and high IFN-${\gamma}$ groups (H-IFN-${\gamma}$) that received normal saline, 100 IU/g of IFN-${\gamma}$ and 500 IU/g of IFN-${\gamma}$ vaginal muscular injection, respectively. The effects of IFN-${\gamma}$ on IL-18 expression and pregnancy outcomes were assessed systematically using several methods, including immunohistochemistry streptavidin-perosidase (SP), image pattern analysis, enzyme-linked immune-sorbent assay (ELISA), whole blood count (WBC) count, microscopy and visual observation. IL-18 was detected in the uteri of all pregnant rats, and mainly distributed in the endometrium, decidual cells, vascular endothelium and myometrium. Immunohistochemistry and image pattern analyses revealed significantly lower IL-18 expression in the H-IFN-${\gamma}$ group compared to the L-IFN-${\gamma}$ and control groups (p<0.01), indicating that high doses of IFN-${\gamma}$ induce downregulation of IL-18 in the uterus of pregnant rats. ELISA results disclosed that IL-18 expression in peripheral blood of the H-IFN-${\gamma}$ group was lower than that of the L-IFN-${\gamma}$ group (p<0.05), and significantly reduced compared to the control group (p<0.01). Moreover, the number of peripheral leukocytes in the H-IFN-${\gamma}$ group was significantly higher than those in the control and L-IFN-${\gamma}$ groups (p<0.01). Morphology analysis showed no evident differences between the L-IFN-${\gamma}$ and control groups. However, for the H-IFN-${\gamma}$ group, uterine mucosa bleeding, necrosis and excoriation were observed using microscopy. Visual observation revealed marroon, swelling, crassitude and no embryo in the uterus, which are obvious indicators of abortion. These results indicate that IFN-${\gamma}$ plays a regulatory role in IL-18 expression in the uterus and peripheral blood of pregnant rats at the post-implantation stage. Moreover, high levels (500 IU/g) of IFN-${\gamma}$ influence normal pregnancy at the early stages in rats by downregulating IL-18 expression in the uterus and peripheral blood and increasing the number of peripheral leukocytes, consequently triggering termination of pregnancy.
Jang, Mi Soon;Son, Yong;Lee, Cheol;Lee, Ju Hwan;Park, Jeong Hyun;Lee, Myeong Jong
The Korean Journal of Pain
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v.22
no.1
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pp.58-64
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2009
Background: Magnesium is a noncompetitive antagonist of the N-methyl-D aspartate (NMDA) receptor. Magnesium is thought to be involved in opioid tolerance by way of inhibiting calcium entry into cells. Methods: The patients were randomly assigned to three groups according to the anesthetic regimens: Group M received magnesium sulfate and Group C received saline intravenously under remifentanil-based anesthesia. Group S received saline intravenously under sevoflurane based anesthesia in place of remifentanil. The patients in the group M received 25% magnesium sulfate 50 mg/kg in 100 ml of saline, and those patients in groups C and S received an equal volume of saline before induction of anesthesia; this was followed by 10 mg/kg/h infusion of either magnesium sulfate (group M) or an equal volume of saline (groups C and S) until the end of surgery. Pain was assessed on a visual analog scale at 1, 6, 12, 24, and 36 hours after the operation. The time to the first postoperative analgesic requirement and the cumulative analgesic consumption were evaluated in the three groups. Results: The visual analog scales for pain and the cumulative analgesic consumption were significantly greater in group C than in other groups. The time to first postoperative analgesic requirement was significantly shorter in group C than that in the other groups. There were no differences between group M and S for side effects. Conclusions: A relatively high dose and continuous remifentanil infusion is associated with clinically relevant evidence of acute opioid tolerance. NMDA-receptor antagonist, magnesium sulfate as an adjuvant analgesic prevents opioid tolerance in patients who are undergoing major abdominal surgery under high dose and continuous remifentanil infusion-based anesthesia.
Methods for the measurement of aquatic bacteria can be divided into two groups. The first group of these methods is based on the 'replicon' concept that live bacterial cells, when diluted and transferred to a suitable medium, produce colonies. These methods distinguish living from dead bacteria, but they massively underestimate bacterial numbers. The second group of enumeration methods uses visual counting technique using specific apparatus such as a microscope. These methods are generally direct and simple, but it is very hard to distinguish between live and dead bacteria and between small particle and bacteria. Recently developed technique in staining methods has provided a reliable method of visual determination of aquatic bacteria. This uses epifluorescence microscopy to measure the total bacterial population. In order to present the fluorescence microscopy as a new methodology for the determination of bacterial numbers in water supplies, data were obtained from chlorine and monochloramine doses added to samples. Total counts by fluorescence microscopy were compared with standard plate count method. The total number of bacteria in water supplies can be determined with fluorescence microscopy. This technique allows better resolution of small bacteria and differentiation of particle from bacteria. Chloramine was found to persist longer in natural waters and prevent bacterial regrowth.
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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v.34
no.6
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pp.619-627
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2016
Cells of a PV (photovoltaic) module can suffer defects due to various causes resulting in a loss of power output. As a malfunctioning cell has a higher temperature than adjacent normal cells, it can be easily detected with a thermal infrared sensor. A conventional method of PV cell inspection is to use a hand-held infrared sensor for visual inspection. The main disadvantages of this method, when applied to a large-scale PV power plant, are that it is time-consuming and costly. This paper presents an algorithm for automatically detecting defective PV panels using images captured with a thermal imaging camera from an UAV (unmanned aerial vehicle). The proposed algorithm uses statistical analysis of thermal intensity (surface temperature) characteristics of each PV module to verify the mean intensity and standard deviation of each panel as parameters for fault diagnosis. One of the characteristics of thermal infrared imaging is that the larger the distance between sensor and target, the lower the measured temperature of the object. Consequently, a global detection rule using the mean intensity of all panels in the fault detection algorithm is not applicable. Therefore, a local detection rule was applied to automatically detect defective panels using the mean intensity and standard deviation range of each panel by array. The performance of the proposed algorithm was tested on three sample images; this verified a detection accuracy of defective panels of 97% or higher. In addition, as the proposed algorithm can adjust the range of threshold values for judging malfunction at the array level, the local detection rule is considered better suited for highly sensitive fault detection compared to a global detection rule. In this study, we used a panel area extraction method that we previously developed; fault detection accuracy would be improved if panel area extraction from images was more precise. Furthermore, the proposed algorithm contributes to the development of a maintenance and repair system for large-scale PV power plants, in combination with a geo-referencing algorithm for accurate determination of panel locations using sensor-based orientation parameters and photogrammetry from ground control points.
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