• Title/Summary/Keyword: better-for-you

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Fine output voltage control of a phase-controlled converter (위상정류제어기의 정밀출력제어)

  • Kang, Y.;You, D.;Baek, J.;Rim, Geun-Hie
    • Proceedings of the KIEE Conference
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    • 1994.07a
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    • pp.240-242
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    • 1994
  • Diode and thyristor-based bridge converter have been used for ac/dc conversion. Comparatively, diode bridges are simpler, more robust, less expensive and have a better power factor. However when voltage regulation is required, the thyristor-based phase-controlled converter have been used. But their use is limited by the low power factor and considerable harmonics in the input and output. An ac/dc power conversion scheme capable of fine output voltage control is investigated in this paper.

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Real Time Traffic Signal Plan using Neural Network

  • Choi Myeong-Bok;Hong You-Sik
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.4
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    • pp.360-366
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    • 2005
  • In the past, when there were few vehicles on the road, the T.O.D.(Time of Day) traffic signal worked very well. The T.O.D. signal operates on a preset signal cycling which cycles on the basis of the average number of average passenger cars in the memory device of an electric signal unit. Now days, with increasing many vehicles on restricted roads, the conventional traffic light creates startup-delay time and end-lag-time. The conventional traffic light loses the function of optimal cycle. And so, $30-45\%$ of conventional traffic cycle is not matched to the present traffic cycle. In this paper we proposes electro sensitive traffic light using fuzzy look up table method which will reduce the average vehicle waiting time and improve average vehicle speed. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering passing vehicle length for optimal traffic cycle is better than fixed signal method which doesn't consider vehicle length.

Optimal Traffic Information using Fuzzy Neural Network

  • Hong, You-Sik;Lee, Choul--Ki
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.3 no.1
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    • pp.105-111
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    • 2003
  • This paper is researching the storing of 40 different kinds of conditions. Such as, car speed, delay in starting time and the volume of cars in traffic. Through the use of a central nervous networking system or AI, using 10 different intersecting roads. We will improve the green traffic light. And allow more cars to easily flow through the intersections. Now days, with increasing many vehicles on restricted roads, the conventional traffic light creates prove startup-delay time and end-lag-time. The conventional traffic light loses the function of optimal cycle. And so, 30-45% of conventional traffic cycle is not matched to the present traffic cycle. In this paper proposes electro sensitive traffic light using fuzzy look up table method which will reduce the average vehicle waiting time and improve average vehicle speed. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering passing vehicle length for optimal traffic cycle is better than fixed signal method which dosen't consider vehicle length.

Video Rate Control Using Activity Based Rate Prediction

  • Park, Hyung-Shin;Jung, You-Young;Kim, Young-Ro;Ko, Sung-Jea
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.454-457
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    • 2000
  • In this paper, an efficient rate control algorithm based on rate prediction is proposed for maintaining a smooth buffer variation and a small buffer size. The proposed method adjusts the quantization scaling factor by using the predicted bit-rate to meet the target bit budget exactly. Experimental result show that the proposed prediction-based rate control scheme can regulate the bit-rate across scene changes more effectively and achieve better PSNR performance than existing rate control mechanisms such as the MPEG-2 Test Model 5 (TM5) and the Adaptive Scene Analysis (ASA).

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Effects of Temperature on Dielectric Breakdown Strength of Epoxy Compounds Filled with Natural Zecolite

  • Kim, You-Jeong;Park, Hyeong-Ki;Kim, Sang-Wook
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1999.05a
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    • pp.544-547
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    • 1999
  • To develop the better insulants. the zeolite particle, which is aluminosilicate mineral, was filled In the DGEBA/MDA/SN epoxy resin system. Dynamic DSC curves of cured specimens with various contents of zeolite were observed and the glass transition temperature(T$_{g}$) was obtained. According to this result, we could carry out the experiment concerned with the dielectric breakdown strength around T$_{g}$ and find the limit temperature for the application of the DDEBA/MDA/SN system filled with natural zeolite. T$_{g}$ increased with the content of zeolite. As the temperature increased, the dielectric breakdown strength decreased rapidly, in the region of T$_{g}$. At the high temperature, the deterioration by electrical stress was activated. The diameter of puncture at the high temperature was larger 7han that at the room temperature.erature.

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Schedule communication routing approach to maximize energy efficiency in wireless body sensor networks

  • Kaebeh, Yaeghoobi S.B.;Soni, M.K.;Tyagi, S.S.
    • Smart Structures and Systems
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    • v.21 no.2
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    • pp.225-234
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    • 2018
  • E-Health allows you to supersede the central patient wireless healthcare system. Wireless Body Sensor Network (WBSN) is the first phase of the e-Health system. In this paper, we aim to understand e-Health architecture and configuration, and attempt to minimize energy consumption and latency in transmission routing protocols during restrictive latency in data delivery of WBSN phase. The goal is to concentrate on polling protocol to improve and optimize the routing time interval and schedule communication to reduce energy utilization. In this research, two types of network models routing protocols are proposed - elemental and clustering. The elemental model improves efficiency by using a polling protocol, and the clustering model is the extension of the elemental model that Destruct Supervised Decision Tree (DSDT) algorithm has been proposed to solve the time interval conflict transmission. The simulation study verifies that the proposed models deliver better performance than the existing BSN protocol for WBSN.

Fatigue Analysis of Spot Welded Joints in Suspension Mounting Part

  • Yum, Youung-Jin;Chu, Young-Woo;Chu, Seok-Jae;Kim, Jung-Han;Hee You
    • Journal of Mechanical Science and Technology
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    • v.17 no.8
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    • pp.1113-1119
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    • 2003
  • Experimental and numerical analyses were performed to characterize the fatigue behavior of spot welded joints in suspension mounting of a passenger car body. Static and fatigue tests were carried out for the tensile-shear and cross-tension specimens. S-N curve and fatigue strengths were obtained from the fatigue test of various specimens. Nonlinear finite element analysis showed that fatigue behavior of spot welded joints could be well estimated in terms of Von Mises stress at the nugget edge. Fatigue behavior of spot welded joint was represented by Von Mises stress better than the fatigue load.

Output Improvement of a Magnetic Levitation Control System

  • Jung, Hae-Young;Na, Seung -You
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1995.10b
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    • pp.59-70
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    • 1995
  • Output performance improvement using fuzzy logic to the conventional control scheme for a magnetic levitation system is presented in this paper, Adverse characteristics of nonlinearity, unstability, system parameter variation, etc, in the levitation system are partially overcome by the general fuzzy control action. Using a PD type compensator, a coarse framework of output performance is provided to the levitation system. Then a fine regulation to the output performance requirement is obtained by the natural description of the control action in the form of fuzzy logic controller. This control action soothes the adverse characteristics of the levitation system. In this way a better output performance can be obtained in a real time experiment.

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The Effects of Qingfei Paidu Decoction on Coronavirus Disease-19: A Narrative Review (COVID-19에 대한 청폐배독탕의 연구 동향 분석)

  • Kang, Bo-hyung;Choi, You-kyoung;Jeon, Chan-yong;Yang, Seung-Bo
    • The Journal of Internal Korean Medicine
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    • v.41 no.3
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    • pp.424-433
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    • 2020
  • Qingfei Paidu decoction is recommended for treatment and prevention of COVID-19. It is a prescription that combines Mahaenggamseok-tang, Oryeong-san, Soshiho-tang, Saganmahwang-tang, and Kwakhyangjeonggi-san. According to several clinical reviews, symptoms of COVID-19 were improved, laboratory test indicators were improved, and the cure rate was increased. Pharmacologically, the Qingfei Paidu decoction and its composition have been reported to inhibit viral replication, alleviate immune responses, and have anti-inflammatory and antiviral effects. Severe side effects were not revealed, and this treatment is considered relatively safe. However, to validate and better understand these findings, well-designed clinical studies are needed.

The Effect of Social Affordances in Social Live Streaming Service (소셜 라이브 스트리밍 서비스에서 소셜 어포던스의 영향)

  • Moon, Yunji
    • Journal of Information Technology Applications and Management
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    • v.27 no.6
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    • pp.31-51
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    • 2020
  • During the last decade, social live streaming service like Periscope, Ustream, and YouNow has developed from a niche market into a mainstream activity. In this media environment, social live streaming service has a tremendous impact on the social behaviors of users. Despite the rapid development, there are a lack of studies to make better understand the media environment changes through social live streaming service. This study adopted an affordances approach that leads us to identify six distinctive social affordances (visibility, accessibility, information sharing, social interaction, role-taking, interactive revenue) for user engagement in social live streaming service. Specifically, this study explores the impact of social affordances on perceived flow, followed by user engagement including passive and active engagement. Empirical data analysis with 258 questionnaires suggests that social affordances affected users' flow perception, and flow has an effect on active as well as passive engagement. Contrary to the expectation in a hypothesized research model, only the impact of accessibility on flow was rejected.