• Title/Summary/Keyword: Quality regulation

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The Effects of Temperament, Social Support and Emotion Regulation on the Positive Psychological Capital of Middle School Students (중학생의 기질, 사회적지지 및 정서조절능력이 긍정심리자본에 미치는 영향)

  • Choi, Ara;Lee, Sook
    • Korean Journal of Child Studies
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    • v.37 no.2
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    • pp.57-77
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    • 2016
  • Objective: This study examined the influences of general characteristics, temperament, social support, and emotional regulation on the positive psychological capital of adolescents. The data were collected from 672 middle school students living in Gwangju. Methods: Data were analyzed using Pearson correlation analyses and hierarchical regression analyses. Results: Temperament best explained positive psychological capital. In terms of individual factors, self-emotion regulation had the greatest effect on positive psychological capital, followed by friend support, persistence temperament, others emotion regulation, academic achievement, harm avoidance temperament, gender, and family support, in that order. Conclusion: The results for the effects of temperament, social support and emotion regulation on adolescent's positive psychological capital highlights the important roles played by the temperament, social support, and emotion regulation in improving an adolescent's positive psychological capital. The study contributes to the literature by proving fundamental insights into an adolescent's psychological strengths and higher quality of life.

Real-time Air Quality Monitoring System Based on Wireless Network (무선네트워크기반 공기질 실시간 모니터링 시스템)

  • Paik, Seung Hyun;Lee, Jun Yeong;Jung, Sang Woo;Park, Hong Bae
    • IEMEK Journal of Embedded Systems and Applications
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    • v.11 no.3
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    • pp.143-151
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    • 2016
  • In this paper, a real-time air quality monitoring system based on wireless network is designed and implemented for industrial park or multiuse facilities. The existing gas detector is high price and hard to apply the remote monitoring system. On the other hand, demand for air quality monitoring is increasing because of industrial gas accident, air pollution, and so on. In Korea, indoor air regulation was established by law. According to indoor air regulation, CO2, CO, and NO2 are important gases as the air quality standard. So we study the gas detector for indoor air quality and the wireless network system. The wireless network consist of sensor network and WCDMA to apply various place. To verify the performance of the implemented gas detector, the gas measurement experiment is performed in laboratory environment by using the realized gas detecting wireless sensor node. And we evaluate the experiment results.

Economic Effects of Regulatory Reform in Korea

  • KIM, JUNGWOOK;CHAE, SU BOK
    • KDI Journal of Economic Policy
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    • v.39 no.4
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    • pp.51-68
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    • 2017
  • This paper adapts the World Bank Regulatory Quality Index (RQI), which is produced annually to provide a better understanding of the effects of regulatory reforms, instead of the Production Market Regulation (PMR) indicators, which are published every five years. We find that 9.9 to 36.0 billion USD worth of regulatory cost could be reduced if the regulatory quality in Korea improves to the level of the OECD average considering that the total burden of regulation in Korea is estimated to range from 2.2 to 357.4 billion USD. The estimated reduction in the regulatory cost accounts for roughly 0.76 to 2.47% of Korea's GDP in 2013, underscoring the importance of regulatory reforms for the Korean economy. This paper introduces a new method with which to examine the distribution of regulatory costs across different industries and firm sizes. This alternative method is largely consistent with the conclusions reached by other studies, specifically that small firms typically bear a disproportionate regulatory burden.

A Simplified Control Algorithm for Three-Phase, Four-Wire Unified Power Quality Conditioner

  • Singh, Bhim;Venkateswarlu, P.
    • Journal of Power Electronics
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    • v.10 no.1
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    • pp.91-96
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    • 2010
  • In this paper, a simplified control algorithm for a three-phase, four-wire unified power quality conditioner (UPQC) is presented to compensate for supply voltage distortions/unbalance, supply current harmonics, the supply neutral current, the reactive power and the load unbalance as well as to maintain zero voltage regulation (ZVR) at the point of common coupling (PCC). The UPQC is realized by the integration of series and shunt active filters (AFs) sharing a common dc bus capacitor. The shunt AF is realized using a three-phase, four leg voltage source inverter (VSI) and the series AF is realized using a three-phase, three leg VSI. A dynamic model of the UPQC is developed in the MATLAB/SIMULINK environment and the simulation results demonstrating the power quality improvement in the system are presented for different supply and load conditions.

The study of a medium Power plants to Improve Turbine Speed Regulation (중용량 발전소 터빈 속도조정율 향상을 위한 연구)

  • Shin, Yoon-Oh;Kim, Jong-An
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.740-742
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    • 1999
  • The demand for the high quality of utility electrical power has been increasing rapidly in recent years because of today's electrical energy dependent industries and most people's everyday lives based on computer systems. However, electrical power supply conditions to meet this high quality demand becomes more difficult and more due to a large portion of nuclear power plants output in total electrical power supply which normally do not respond to frequency variations, and high peak of air conditioner demands during the summer season. So the rest of power plants should be operated to show the best governor regulation performance to maintain the electrical power frequency quality.

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A Study on Power Quality Diagnosis System using Neural NetWorks (전기품질 진단 시스템 개발을 위한 인공 신경망 적용에 관한 연구)

  • Kim, Jin-Su;Kim, Young-Il;Kim, Kwang-Soon;Park, Gi-Ju
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.8
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    • pp.1351-1359
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    • 2007
  • In this paper, we have studied the power quality(PQ) diagnosis system with the two methods for PQ diagnosis. One to Apply a regulation value in compliance with mathematics calculation, and the other Automatic identification using Neural network algorithm. Neural network algorithm is used for an automatic diagnosis of the PQ. The regulation proposed by IEEE 1159 Working group is applied for the precision of the diagnosis. In order to divide accurate segmentation, the algorithm for a computer training used the back propagation out of several neural network algorithms. We have configured the proto-type sample by using Labview and a programmed Neural Networks Algorithm using with C. And arbitrary electric Signal generated by OMICRON Company's CMC 256-6 for an efficiency test.

Changes in the Air Quality of Port Areas Following the Implementation of the IMO 2020 Sulfur Limit (IMO 2020 황산화물 규제에 따른 항만지역 대기질 변화 특성)

  • Park, Jeong-Ho
    • Journal of Environmental Science International
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    • v.30 no.11
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    • pp.967-977
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    • 2021
  • From January 1, 2020, the International Maritime Organization has implemented a global regulation, known as IMO 2020, to reduce the sulfur content in fuel oil of ships from 3.5% to 0.5%. In this study, we used data from air monitoring stations to evaluate the change in air quality at New Port and North Port in Korea areas after the regulation was implemented. The concentration of SO2 and NO2 was higher in the port areas than in the surrounding areas due to exhaust gas from ships and vehicles. However, the SO2 concentration decreased by more than 50% in the port area, demonstrating the efficiency and positive effect of the IMO 2020 sulfur limit.

A Study on the Implementation Method of Total Water Quality Load Management in Sapkyo Lake Watershed (삽교호수계의 수질총량관리제 시행방안 연구)

  • Yi, Sang-jin;Oh, Hye-jeong;Lee, Eun-hyoung;Jung, Jong-Gwan
    • Journal of Korean Society on Water Environment
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    • v.22 no.5
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    • pp.807-814
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    • 2006
  • Sapkyo Lake Watershed occupies about 19.3% of total area of Chungnam Province, and it is necessary to make a plan of counter-measure for the maintenance of public waterbody sound as well as to ensure water resources due to urbanization and industrialization in this area so densely populated and excessively developed. Conventionally water quality management has been enforced by concentration-based system which is not considered the carrying capacity of receptors, hence there are no proper measures for the prevention of an excessive pollutant load over a waterbody. So even though emission sources abide by the conventional permission regulation, then the quantity of wastewater is increased continuously and encountered water shortage to use finally. Therefore this research focused on the review of introduction of total water quality management system in Sapkyo Lake watershed to maintain public waterbody sound and to ensure water resources. By doing this research in introduction of the system in advance, it can contribute to establish the methodology on systematic water quality management. Also the application of this system in Sapkyo Lake watershed can promote the sustainable development of the area by harmonizing the environment and regional economy ultimately.

Optimal Voltage Regulation Method for Distribution Systems with Distributed Generation Systems Using the Artificial Neural Networks

  • Kim, Byeong-Gi;Rho, Dae-Seok
    • Journal of Electrical Engineering and Technology
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    • v.8 no.4
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    • pp.712-718
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    • 2013
  • With the development of industry and the improvement of living standards, better quality in power electric service is required more than ever before. This paper deals with the optimal algorithms for voltage regulation in the case where Distributed Storage and Generation (DSG) systems are operated in distribution systems. It is very difficult to handle the interconnection issues for proper voltage managements, because the randomness of the load variations and the irregular operation of DSG should be considered. This paper proposes the optimal on-line real time voltage regulation methods in power distribution systems interconnected with the DSG systems. In order to deliver suitable voltage to as many customers as possible, the optimal sending voltage should be decided by the effective voltage regulation method by using artificial neural networks to consider the rapid load variation and random operation characteristics of DSG systems. The simulation results from a case study show that the proposed method can be a practical tool for the voltage regulation in distribution systems including many DSG systems.