• Title/Summary/Keyword: AR background

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A Study on the Bicoherence Analysis of Visual Evoked Potential based on AR Model (AR 모델에 의한 견학 유발전위의 Bicoherence분석에 관한 연구)

  • 유병욱;정명진
    • Journal of Biomedical Engineering Research
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    • v.8 no.2
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    • pp.223-230
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    • 1987
  • In this paper the harmonic degrees between $\alpha$ wave and $\beta$ wave in visual evoked potential are analyzed by the bicoherence. The bicoherence analysis is based on an AR model which provides significantly better resolution than that of Fourier transform. The analysis results of visual evoked pope ntial are compared with the analysis results of background EEC. From the comparison results it is found that the harmonic degree of visual evoked potential is less than she harmonic degree of background EEG and the $\beta$ wave of visual evoke potential unlike the background EEC contains the non harmonic property of a wave more than the harmonic properity

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A Study on the Analysis of Background Object Using Deep Learning in Augmented Reality Game (증강현실 게임에서 딥러닝을 활용한 배경객체 분석에 관한 연구)

  • Kim, Han-Ho;Lee, Dong-Lyeor
    • Journal of Convergence for Information Technology
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    • v.11 no.11
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    • pp.38-43
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    • 2021
  • As the number of augmented reality games using augmented reality technology increases, the demands of users are also increasing. Game technologies used in augmented reality games are mainly games using MARKER, MARKERLESS, GPS, etc. Games using this technology can augment the background and other objects. To solve this problem, we want to help develop augmented reality games by analyzing objects in the background, which is an important element of augmented reality. To analyze the background in the augmented reality game, the background object was analyzed by applying a deep learning model using TensorFlow Lite in the UNITY engine. Using this result, we obtained the result that augmented objects can be placed in the game according to the types of objects analyzed in the background. By utilizing this research, it will be possible to develop advanced augmented reality games by augmenting objects that fit the background.

Realistic Soap Bubble Appearance using Background Scene and Kelvin Temperature Matching

  • Yoo, Sangwook;Chin, Seongah
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.265-270
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    • 2021
  • VR and AR contents provide a rich user experience [1]. Realistic content with human computer interaction and immersion provides an improved user experience, but there is a limit to producing all elements realistically. In this study, we propose a method to advance the rendering of immersive content using background color information [2]. First, the elements necessary for Kelvin temperature rendering are derived from the color and background as context elements, and the rendering effect has been realized in the soap bubble. For soap bubbles Kelvin temperature rendering, the average color of the background is extracted and the color with the highest similarity is applied by comparing the main color and Kelvin temperature.

Correlation between Allergic Rhinitis Prevalence and Immune Responses of Children in Ulsan: A Case-control Study (울산지역 초등학생의 알레르기비염 유병과 면역반응과의 상관성: 환자-대조군 연구)

  • Lee, Jiho;Oh, Inbo;Kim, Ahra;Kim, Minho;Sim, Chang sun;Kim, Yangho
    • Journal of Environmental Health Sciences
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    • v.41 no.4
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    • pp.249-258
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    • 2015
  • Objectives: This study aims to investigate the correlations between the prevalence of allergic rhinitis (AR) and cytokines among elementary school children in an industrial city, Ulsan, South Korea, and to identify major environmental risk factors associated with AR prevalence. Methods: We conducted a case-control study in June 2009 and February 2010 in order to evaluate the relationship between AR and related cytokines. Data on physician-treated prevalence over the past 12 months and potential risk factors for AR were compiled through a questionnaire from a survey of 339 schoolchildren living in different urban environments. Logistic regression analysis was carried out with propensity score matched data (n=180) to assess the influences of cytokines (IL-13, IL-33, IL-4 and IL-5) on AR prevalence and to determine which environmental factors affected AR. Results: In univariate analysis, the AR prevalence was influenced by family history of AR (mother and siblings), environmental factors (odor condition and irritated symptoms of air pollution), and indoor allergens (D. farinae and D. pteronyssinus). The t-test demonstrated that eosinophils, Immunoglobulin E (IgE), and interleukins (IL-13 and IL-5) were statistically significantly different according to treatment of allergic rhinitis over the preceeding 12 months. The results of the multiple logistic regression analysis showed that a statistically significant association between several factors (such as irritated symptoms of air pollution (OR 4.075, CI 1.735-9.568), IL-13 (OR 0.825, CI 0.734-0.928), odor condition (OR 2.409, CI 0.908-6.389), and AR history of siblings (OR 2.217, CI 0.999-4.921)) and the prevalence of AR was found after adjusting for confounders. Conclusion: These results suggest that AR prevalence is significantly associated with cytokine level, genetic background, and outdoor environmental factors. Although living in a polluted area and genetic background can contribute to an increased risk of childhood AR, cytokine level should be considered as an important factor in the treatment of AR in the last 12 months.

Effects of selfie semantic network analysis and AR camera app use on appearance satisfaction and self-esteem (셀피의 의미연결망 분석과 AR 카메라 앱 사용이 외모만족도와 자아존중감에 미치는 영향)

  • Lee, Hyun-Jung
    • The Research Journal of the Costume Culture
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    • v.30 no.5
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    • pp.766-778
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    • 2022
  • Image-oriented information is becoming increasingly important on social networking services (SNS); the background of this trend is the popularity of selfies. Currently, camera applications using augmented reality (AR) and artificial intelligence (AI) technologies are gaining traction. An AR camera app is a smartphone application that converts selfies into various interesting forms using filters. In this study, we investigated the change of keywords according to the time flow of selfies in Goolgle News articles through semantic network analysis. Additionally, we examined the effects of using an AR camera app on appearance satisfaction and self-esteem when taking a selfie. Semantic network analysis revealed that in 2013, postings of specific people were the most prominent selfie-related keywords. In 2019, keywords appeared regarding the launch of a new smartphone with a rear-facing camera for selfies; in 2020, keywords related to communication through selfies appeared. As a result of examining the effect of the degree of use of the AR camera app on appearance satisfaction, it was found that the higher the degree of use, the higher the user's interest in appearance. As a result of examining the effect of the degree of use of the AR camera app on self-esteem, it was found that the higher the degree of use, the higher the user's negative self-esteem.

Estimation of Net Community Production Based on O2/Ar Measurements (O2/Ar 관측에 기반한 순군집생산량 추정 연구 동향)

  • HAHM, DOSHIK;LEE, INHEE
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.23 no.1
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    • pp.49-62
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    • 2018
  • Net community production (NCP), defined as the difference between net primary production and respiration of heterotrophs, has been used as a measure of oceanic biological carbon pump. This paper summarizes the theoretical background and experimental methods for the estimation of NCP based on $O_2/Ar$ measurements ($O_2/Ar-NCP$). The high frequency measurements of $O_2/Ar-NCP$ (<1 min) is a significant enhancement over the conventional measures of biological pump, such as new production and export production. This paper also introduces some of important works as to the comparison between $O_2/Ar-NCP$ and other measures of biological pump, the distributions of $O_2/Ar-NCP$ in the oceans, and the correlation of $O_2/Ar-NCP$ with various oceanic parameters, including community structures.

Adenophora remotiflora protects human skin keratinocytes against UVB-induced photo-damage by regulating antioxidative activity and MMP-1 expression

  • Kim, Hye Kyung
    • Nutrition Research and Practice
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    • v.10 no.4
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    • pp.371-376
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    • 2016
  • BACKGROUND/OBJECTIVES: Chronic ultraviolet (UV) exposure-induced reactive oxygen species (ROS) are commonly involved in the pathogenesis of skin damage by activating the metalloproteinases (MMP) that break down type I collagen. Adenophora remotiflora (AR) is a perennial wild plant that inhabits Korea, China, and Japan. The present study investigated the protective effects of AR against UVB-induced photo-damage in keratinocytes. MATERIALS/METHODS: An in vitro cell-free system was used to examine the scavenging activity of 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical and nitric oxide (NO). The effect of AR on ROS formation, antioxidant enzymes, elastase, MMP-1 level, and mRNA expression of MMP-1 were determined in UVB-irradiated human keratinocyte HaCaT cells. RESULTS: AR demonstrated strong DPPH free radical and NO scavenging activity in a cell-free system exhibiting $IC_{50}$ values of 1.88 mg/mL and 6.77 mg/mL, respectively. AR pretreatment dose-dependently attenuated the production of UVB-induced intracellular ROS, and antioxidant enzymes (catalase and superoxide dismutase) were enhanced in HaCaT cells. Furthermore, pretreatment of AR prevented UVB-induced elastase and collagen degradation by inhibiting the MMP-1 protein level and mRNA expression. Accordingly, AR treatment elevated collagen content in UVB-irradiated HaCaT cells. CONCLUSION: The present study provides the first evidence of AR inhibiting UVB-induced ROS production and induction of MMP-1 as a result of augmentation of antioxidative activity in HaCaT human keratinocytes. These results suggest that AR might act as an effective inhibitor of UVB-modulated signaling pathways and might serve as a photo-protective agent.

Androgen Receptor Expression and its Correlation with Other Risk Factors in Triple Negative Breast Cancers: a Report from Western Iran

  • Payandeh, Mehrdad;Shazad, Babak;Madani, Seyed-Hamid;Ramezani, Mazaher;Sadeghi, Masoud
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.7
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    • pp.3321-3324
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    • 2016
  • Background: Androgen receptors (ARs) are expressed in more than 70% of breast cancers (BCs) and have been implicated in BC pathogenesis. Some triple negative (TN)BC tumors express AR and may benefit from AR-targeted therapies. The aim of this study was to evaluate survival and the prevalence of AR expression and its correlation with other risk factors in triple negative BCs in women from Western Iran. Materials and Methods: In a retrospective study between 2009-2015, 41 patients with TNBC were referred to the Private Clinic of Oncology, Kermanshah city, Iran. ER, PR and AR-positive expression was defined as ${\geq}10%$ nuclear staining and also HER2 (2+), FISH was performed. Nuclear staining was considered representative for Ki67 and P53. The mean follow-up for the patients was 25 months. In this time, 5 patients died and 4 lost to follow-up were censored from survival analysis. Results: The mean age at diagnosis was 46.9 years (range, 24-71 years) and all patients were female. The OS rates for AR-positive and AR-negative patients were 90% and 85.1%, respectively, and the mean OS was 26.3 and 23.2 months. Therefore, there was no significant difference between the two groups (Hazard ratio: 0.580, 95% CI: 0.086-3.893, P=0.575). Conclusions: In TNBC patients, evaluation of AR status may provide additional information on prognosis and treatment. The results of studies showed that the prevalence AR expression may differ in the world and probably ethnicity can be an influencing factor.

Effect of Argon Addition on Properties of the Boron-Doped Diamond Electrode (아르곤 가스의 주입이 붕소 도핑 다이아몬드 전극의 특성에 미치는 효과)

  • Choi, Yong-Sun;Lee, Young-Ki;Kim, Jung-Yuel;Lee, You-Kee
    • Korean Journal of Materials Research
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    • v.28 no.5
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    • pp.301-307
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    • 2018
  • A boron-doped diamond(BDD) electrode is attractive for many electrochemical applications due to its distinctive properties: an extremely wide potential window in aqueous and non-aqueous electrolytes, a very low and stable background current and a high resistance to surface fouling. An Ar gas mixture of $H_2$, $CH_4$ and trimethylboron (TMB, 0.1 % $C_3H_9B$ in $H_2$) is used in a hot filament chemical vapor deposition(HFCVD) reactor. The effect of argon addition on quality, structure and electrochemical property is investigated by scanning electron microscope(SEM), X-ray diffraction(XRD) and cyclic voltammetry(CV). In this study, BDD electrodes are manufactured using different $Ar/CH_4$ ratios ($Ar/CH_4$ = 0, 1, 2 and 4). The results of this study show that the diamond grain size decreases with increasing $Ar/CH_4$ ratios. On the other hand, the samples with an $Ar/CH_4$ ratio above 5 fail to produce a BDD electrode. In addition, the BDD electrodes manufactured by introducing different $Ar/CH_4$ ratios result in the most inclined to (111) preferential growth when the $Ar/CH_4$ ratio is 2. It is also noted that the electrochemical properties of the BDD electrode improve with the process of adding argon.

A Study on Detection of Significant point in ECG using Neural Network (신경회로망을 이용한 ECG 특성점 검출에 관한 연구)

  • Sohn, Sang-Yoon;Jeong, Kee-Sam;Chung, Sung-Jin;Lee, Myung-Ho
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.11
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    • pp.109-112
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    • 1995
  • This paper is a study on the detection of the significant point in ECG signal. ECG signal consists of two components; one is high frequency component to be detected and the other is low frequency component to be removed. AR model is appropriate for modelling and removing the low frequency component. AR model coefficients are updated by artificial neural network algorithm. We can remove the background noise(low frequency) by passing through the AR filter. The remaining signals which include high frequency noise are sent to the matched filter to pass only the signal which we want to extract. The template used in matched filter is updated adaptively.

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