Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.7
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pp.493-503
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2018
Recently, as living standards have improved, many people are becoming more interested in health, and self-training is increasing through exercise to prevent and manage pre-illness. In general, an imbalance of muscles causes asymmetry of posture, which can cause various diseases by accompanying an adjustment force, circulation action, displacement of internal organs, etc.. In this study, the development of fitness software that can be self - training among smart wears has attracted considerable attention in recent years. In this study, a technology was proposed for the commercialization of self - trainer fitness wear by a simulation through Android - based applications. Self - trainer fitness software was developed by combining a conductive polymer, fashion design, sewing, and electric and electronic technology to monitor the unbalance of the muscles during exercise and make smart wear that can calibrate the asymmetry by oneself. In particular, a polymer sensor was fabricated by deriving the optimal MWCNT concentration, and the electrode signal was collected by attaching the electrode to the optimal position, where the electrode signal line using the conductive fiber was designed and attached to collect the signal. A signal module that converts the bio-signals collected through electrical signal conversion and transmits them using Bluetooth communication was designed and manufactured. Self-trainer fitness software that can be commercialized was developed by combining noise cancellation with Android-based self-training application using a software algorithm method.
'Gesture' is the most intuitive means of communication except the voice. Therefore, there are many researches for method that controls computer using gesture input to replace the keyboard or mouse. In these researches, the method of user detection and main body parts estimation is one of the very important process. in this paper, we propose user objects detection and main body parts estimation method on inaccurate depth information for pose estimation. we present user detection method using 2D and 3D depth information, so this method robust to changes in lighting and noise and 2D signal processing 1D signals, so mainly suitable for real-time and using the previous object information, so more accurate and robust. Also, we present main body parts estimation method using 2D contour information, 3D depth information, and tracking. The result of an experiment, proposed user detection method is more robust than only using 2D information method and exactly detect object on inaccurate depth information. Also, proposed main body parts estimation method overcome the disadvantage that can't detect main body parts in occlusion area only using 2D contour information and sensitive to changes in illumination or environment using color information.
Journal of the Korean Society of Food Science and Nutrition
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v.36
no.1
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pp.32-42
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2007
This study was conducted on the immunoregulatory effect of Saengshik on gut-associated lymphoid tissue with inflammatory bowel disease. Although the contents of IgA increased in mesenteric lymph node, IgE content was suppressed by Saengshik. The same results were found in spleen, but IgA and IgE responses were very weak. Concentration of fecal IgA was high from the first day through the third day in Saengshik group. In DSS + Saengshik group, concentration of IgA was high till the 2nd day and it maintained the highest level among the test groups on 5th day. Concentration of IFN-gamma and IL-2 was the highest in the Saengshik group, but the concentration of TNF-alpha was lower in DSS + Saengshik compared to DSS. The expressions of STAT1 in Saengshik group were high, while those of STAT6 were low According to these findings, Saengshik exhibited effectiveness via increasing the IgA production, suppressing the IgE production, followed by inhibiting the production of IL-4 and IL-10. Saengshik also strengthened the immune system and alleviated injury in DSS -induced inflammation.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.3
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pp.16-22
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2019
Off-line programming and robot calibration through simulation are essential when setting up a robot in a robot automation production line. In this study, we developed a new robot calibration method to match the CAD data of the production line with the measurement data on the site using 3D scanner. The proposed method calibrates the robot using 3D point cloud data through Iterative Closest Point algorithm. Registration is performed in three steps. First, vertices connected by three planes are extracted from CAD data as feature points for registration. Three planes are reconstructed from the scan point data located around the extracted feature points to generate corresponding feature points. Finally, the transformation matrix is calculated by minimizing the distance between the feature points extracted through the ICP algorithm. As a result of applying the software to the automobile welding robot installation, the proposed method can calibrate the required accuracy to within 1.5mm and effectively shorten the set-up time, which took 5 hours per robot unit, to within 40 minutes. By using the developed system, it is possible to shorten the OLP working time of the car body assembly line, shorten the precision teaching time of the robot, improve the quality of the produced product and minimize the defect rate.
In this paper we propose a new mesh reconstruction scheme that produces a displaced subdivision surface directly from unorganized points. The displaced subdivision surface is a new mesh representation that defines a detailed mesh with a displacement map over a smooth domain surface, but original displaced subdivision surface algorithm needs an explicit polygonal mesh since it is not a mesh reconstruction algorithm but a mesh conversion (remeshing) algorithm. The main idea of our approach is that we sample surface detail from unorganized points without any topological information. For this, we predict a virtual triangular face from unorganized points for each sampling ray from a parameteric domain surface. Direct displaced subdivision surface reconstruction from unorganized points has much importance since the output of this algorithm has several important properties: It has compact mesh representation since most vertices can be represented by only a scalar value. Underlying structure of it is piecewise regular so it ran be easily transformed into a multiresolution mesh. Smoothness after mesh deformation is automatically preserved. We avoid time-consuming global energy optimization by employing the input data dependant mesh smoothing, so we can get a good quality displaced subdivision surface quickly.
Choi, Jeong Su;Park, Sang Yong;Yang, Man Gil;Lee, Dong Beom;Lee, Tae Bok;Heo, Ji Hye;Lee, Min Woo;Kim, Suhng Wook
Korean Journal of Clinical Laboratory Science
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v.48
no.3
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pp.169-175
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2016
Saccharin (o-benzoic sulfimide) is the first artificial and non-caloric sweetener that was first synthesized in 1879. In this study, we examined the biological activity of saccharin against various human cancer cell lines and human bone marrow-derived mesenchymal stem cells. A viability assay based on the conversion of 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) was performed to test for the cytotoxicity of saccharin about the four human cancer cell lines (H460, H157, A549 and SKOV3), one murine cancer cellline (Raw264.7), and MSCs. In order to find the differentially expressed gene in saccharin-treated MSCs against untreated MSCs, we performed annealing control primer (ACP)-based differential display reverse transcriptionp-olymerase chain reaction (DDRT-PCR). All tested cells were treated with saccharin at various concentrations (0.0, 4.8, 7.2, 9.6, 12.0, 14.4 mg/mL) for 48 hr. The number of metabolically active cancer cells decreased when treated with the saccharin at various concentrations for 48 hr as compared with the untreated cells. The decrease in cell survival was more evident with increasing concentrations of saccharin. Moreover, novel candidate genes, which were differentially expressed in MSCs in response to saccharin, were identified in 16 bands on 2% agarose gel. This revealed 16-7 up-regulated and 9 down-regulated-differentially expressed genes indicated by arrows. One of these candidate genes was a FK506-binding protein gene. The functional roles of FK506 binding proteins, with respect to the activities of stem cell proliferation, were not characterized. Further studies are required to get a better understanding of FK506-binding proteins in its roles in increasing stem cell proliferative activities from using saccharin.
Narcolepsy is a sleep disorder, which is characterized by excessive daytime sleepiness (EDS) that is typically associated with cataplexy, sleep fragmentation and other REM sleep-related phenomenon such as sleep paralysis and hypnagogic hallucination. Narcoleptic symptoms can be developed from various medical or neurological disorders. A 17-year-old male patient admitted for the evaluation of EDS which started three-month ago. He slept more than 18 hours a day with cataplexy and hypnagogic hallucination. He was obese with body mass index (BMI) of 30.4 kg/$m^2$. After admission he was newly diagnosed to the thyrotoxicosis. T3 391.2 ng/dL (60-181), free T4 4.38 ng/dL (0.89-1.76), TSH <0.01 ${\mu}IU$/mL (0.35-5.5) were measured. His pulse rate ranged 70-90 beats per minute and blood pressure ranged 150/100-120/70 mmHg. Polysomnography revealed many fragmentations in sleep with many positional changes (81 times/h). Sleep onset latency was 33.5 min, sleep efficiency was 47.9%, and REM latency from sleep onset was delayed to 153.6 min. REM sleep percent was increased to 27.1%. Periodic limb movement index was 13.4/h. In the multiple sleep latency test (MSLT), average sleep latency was 0.4 min and there were noted 3 SOREMPs (Sleep Onset REM sleep period) on 5 trials. We couldn't discriminate the obvious sleep-wake pattern in the actigraph and his HLA DQB1 $^*0602$ type was negative. His thyroid function improved following treatment with methimazole and propranolol. Vital sign maintained within normal range. Cataplexy was controlled with venlafaxine 75 mg. Subjective night sleep continuity and PLMS were improved with clonazepam 0.5 mg, but the EDS were partially improved with modafinil 200-400 mg. Thyrotoxicosis might give confounding role when we were evaluating the EDS, though sleep fragmentation was one of the major symptoms of narcolepsy, but enormous amount of it made us think of the influence of thyroid hormone. The loss of sleep-wake cycle, limited improvement of EDS to the stimulant treatmen, and the cataplexy not supported by HLA DQB1 $^*0602$ should be answered further. We still should rule out idiopathic hypersomnia and measuring CSF hypocretin level would be helpful.
Kim Sang-Soo;Kim Kyung-Hee;Park Hyo-Jin;Hur Eun-hye;Rhim Hyangshuk
Journal of Life Science
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v.15
no.6
s.73
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pp.961-967
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2005
Macrophage migration inhibitory fartor (MIF), known as a cytokine, is a multifunctional protein that is ubiquitously expressed in a variety of cells and tissues; however, enzymatic function of MIF still remains elusive in cells. In this study, we assessed details of the tautomerase activity of MIF. We established rapid purification condition for MIF by using pGEX system and compared the L-dopachrome tautomerase activity of GST-MIF, tMIF, and MIF. The results show that GST (glutathione S-transferase)-epitope tag or N-terminal amino acids flanking the essential $P^{2}$ almost completely abrogated L-dopachrome tautomerase activity of MIF. Subsequently, to determine whether the N-terminal tags have effects on oligomerization of MIF, protein cross-linking products were analyzed on $15\%$ SDS-PACE. The result demonstrates that N-terminal tags are dispensable for the formation of MIF's homooligomers. Thus, the results imply that exposure of If containing hydrophobic pocket in the active site is critical for L-dopachrome tautomerase activity of MIF. In addition, our study suggest that the MIF's tautomerase activity might be influenced by interacting with cellular partners.
This paper aims to investigate 4D printing materials for soft robots. 4D printing is a targeted evolution of the 3D printed structure in shape, property, and functionality. It is capable of self-assembly, multi-functionality, and self-repair. In addition, it is time-dependent, printer-independent, and predictable. The shape-shifting behaviors considered in 4D printing include folding, bending, twisting, linear or nonlinear expansion/contraction, surface curling, and generating surface topographical features. The shapes can shift from 1D to 1D, 1D to 2D, 2D to 2D, 1D to 3D, 2D to 3D, and 3D to 3D. In the 4D printing auxetic structure, the kinetiX is a cellular-based material design composed of rigid plates and elastic hinges. In pneumatic auxetics based on the kirigami structure, an inverse optimization method for designing and fabricating morphs three-dimensional shapes out of patterns laid out flat. When 4D printing material is molded into a deformable 3D structure, it can be applied to the exoskeleton material of soft robots such as upper and lower limbs, fingers, hands, toes, and feet. Research on 4D printing materials for soft robots is essential in developing smart clothing for healthcare in the textile and fashion industry.
Korean Journal of Agricultural and Forest Meteorology
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v.8
no.1
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pp.1-9
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2006
Regardless of the recent observed warmer winters in Korea, more freeze injuries and associated economic losses are reported in fruit industry than ever before. Existing freeze-frost forecasting systems employ only daily minimum temperature for judging the potential damage on dormant flowering buds but cannot accommodate potential biological responses such as short-term acclimation of plants to severe weather episodes as well as annual variation in climate. We introduce 'dormancy depth', in addition to daily minimum temperature, as a complementary criterion for judging the potential damage of freezing temperatures on dormant flowering buds of grape vines. Dormancy depth can be estimated by a phonology model driven by daily maximum and minimum temperature and is expected to make a reasonable proxy for physiological tolerance of buds to low temperature. Dormancy depth at a selected site was estimated for a climatological normal year by this model, and we found a close similarity in time course change pattern between the estimated dormancy depth and the known cold tolerance of fruit trees. Inter-annual and spatial variation in dormancy depth were identified by this method, showing the feasibility of using dormancy depth as a proxy indicator for tolerance to low temperature during the winter season. The model was applied to 10 vineyards which were recently damaged by a cold spell, and a temperature-dormancy depth-freeze injury relationship was formulated into an exponential-saturation model which can be used for judging freeze risk under a given set of temperature and dormancy depth. Based on this model and the expected lowest temperature with a 10-year recurrence interval, a freeze risk probability map was produced for Hwaseong County, Korea. The results seemed to explain why the vineyards in the warmer part of Hwaseong County have been hit by more freeBe damage than those in the cooler part of the county. A dormancy depth-minimum temperature dual engine freeze warning system was designed for vineyards in major production counties in Korea by combining the site-specific dormancy depth and minimum temperature forecasts with the freeze risk model. In this system, daily accumulation of thermal time since last fall leads to the dormancy state (depth) for today. The regional minimum temperature forecast for tomorrow by the Korea Meteorological Administration is converted to the site specific forecast at a 30m resolution. These data are input to the freeze risk model and the percent damage probability is calculated for each grid cell and mapped for the entire county. Similar approaches may be used to develop freeze warning systems for other deciduous fruit trees.
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