• Title/Summary/Keyword: Deteriorating time

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Nintendo Wii Fit-Based Sleepiness Testing is Not Impaired by Contagious Sleepiness

  • Tietavainen, Aino;Kuvaldina, Maria;Haeggstrom, Edward
    • Safety and Health at Work
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    • v.9 no.2
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    • pp.236-238
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    • 2018
  • Sleep deprivation may cause accidents, and it has deteriorating effects on health. A measurement of postural steadiness by a portable and affordable Nintendo Wii Fit balance board can be used to quantify a person's alertness. At work, people are under the influence of their environment-often other peopl-dthat may affect their alertness. This work investigates whether sleep deprivation among people is "contagious," as quantified by sway measures. We measured 21 volunteers' postural steadiness while alert and sleep deprived. During the measurements, a screen placed in front of the participants showed a footage of either alert or sleep-deprived faces. We found a significant difference between the day time and night time steadiness, but found no effect resulting from watching footage of sleep-deprived people. This finding shows that a posturographic sleepiness tester quantifies physiological sleep deprivation, and is insensitive to the influence of social factors.

Model Predictive Control with Variable Sampling Time for Improving Power Quality of PMSG-based Wind Energy Conversion System in DC Microgrid (DC Microgrid 연계형 PMSG 기반 풍력에너지 변환 시스템의 전력 품질 개선을 위한 가변 샘플링 시간이 적용된 모델예측제어)

  • Lee, Jae-Hyung;Choo, Kyoung-Min;Jeong, Won-Sang;Won, Chung-Yuen
    • Proceedings of the KIPE Conference
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    • 2019.11a
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    • pp.180-181
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    • 2019
  • This paper proposes a method for improving the power quality of PMSG-based wind energy conversion system based on model predictive control in DC Microgrid. The MPC has a fast dynamic response. However, a large torque ripple deteriorating power quality is generated by a large and fixed switching period. On the other hand, the proposed method improves the power quality by setting the sampling time having zero torque error. The validity of the proposed method is verified through PSIM simulation.

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Connection method on pre-installed bridge monitoring system for bridge structure safety network (교량시설물 안전관리 네트워크 구축을 위한 기존 시스템 연계방안 연구)

  • Park, Ki-Tae;Lee, Woo-Sang;Joo, Bong-Chul;Hwang, Yoon-Koog
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.469-472
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    • 2008
  • In general, structures in service gradually lose original performance according to time due to initial defects in design and construction, or exposure to unfavorable external conditions such as repeated loading or deteriorating environment, and in extreme cases, may collapse in large disaster. Therefore, in order to maintain the serviceability of structures at optimal level, advanced structure measuring system which can inform optimal time point and method of maintenance is required in addition to accurate prediction of residual life the structure by periodic inspection. To guarantee the safety level of bridge structure and to prevent from disaster, the integration of safety network for bridge structures are needed. Therefore in this study, to enhance the effectiveness of safety network for bridge, the connection methodologies between safety network and pre-installed bridge monitoring system are investigated.

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Efficient Implementations of a Delay-Constrained Least-Cost Multicast Algorithm

  • Feng, Gang;Makki, Kia;Pissinou, Niki
    • Journal of Communications and Networks
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    • v.4 no.3
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    • pp.246-255
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    • 2002
  • Constrained minimum Steiner tree (CMST) problem is a key issue in multicast routing with quality of service (QoS) support. Bounded shortest path algorithm (BSMA) has been recognized as one of the best algorithms for the CMST problem due to its excellent cost performance. This algorithm starts with a minimumdelay tree, and then iteratively uses a -shortest-path (KSP) algorithm to search for a better path to replace a “superedge” in the existing tree, and consequently reduces the cost of the tree. The major drawback of BSMA is its high time complexity because of the use of the KSP algorithm. For this reason, we investigate in this paper the possibility of more efficient implementations of BSMA by using different methods to locate the target path for replacing a superedge. Our experimental results indicate that our methods can significantly reduce the time complexity of BSMA without deteriorating the cost performance.

Development of System and Measured Results for Measuring Insulation Resistance of High-Power Cables in Operation (활선 고전력 케이블의 절연저항을 측정하기 위한 시스템 설계 및 측정결과)

  • Um, Kee-Hong;Kim, Bo-Kyeong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.4
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    • pp.165-170
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    • 2016
  • The XLPE(or CV) cables installed to deliver high electric power from generator at the power station have operating for the last 40 years in Korea. In 6-8 years from the time of initial operation, the cables in operation start a deteriorating process, depending on the installation and usage conditions. Some cables, even before 6-8 years from the installation, can cause accidents due to the faulty construction or other inadequate environments. In order to prevent cable accident in advance, the regular auditing of power cables are required. For a systematic realization of surveillance and prevention of accidents, we have invented a measuring device. In this paper, we present the device installed at Korean Western Power Co. Ltd., in order to detect the deterioration status of insulation resistances of dielectrics in the cables. We present that the measured results by the device we developed show the deteriorating processes in the cables in operation.

A Genetic Algorithm Based Task Scheduling for Cloud Computing with Fuzzy logic

  • Singh, Avtar;Dutta, Kamlesh
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.6
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    • pp.367-372
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    • 2013
  • Cloud computing technology has been developing at an increasing expansion rate. Today most of firms are using this technology, making improving the quality of service one of the most important issues. To achieve this, the system must operate efficiently with less idle time and without deteriorating the customer satisfaction. This paper focuses on enhancing the efficiency of a conventional Genetic Algorithm (GA) for task scheduling in cloud computing using Fuzzy Logic (FL). This study collected a group of task schedules and assessed the quality of each task schedule with the user expectation. The work iterates the best scheduling order genetic operations to make the optimal task schedule. General GA takes considerable time to find the correct scheduling order when all the fitness function parameters are the same. GA is an intuitive approach for solving problems because it covers all possible aspects of the problem. When this approach is combined with fuzzy logic (FL), it behaves like a human brain as a problem solver from an existing database (Memory). The present scheme compares GA with and without FL. Using FL, the proposed system at a 100, 400 and 1000 sample size*5 gave 70%, 57% and 47% better improvement in the task time compared to GA.

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A Study on Combustion Characteristics of the Methane-Hydrogen Lean Mixture by Using Multiple Spark Capacity Discharge in a CVCC (I) (반복점화장치 사용시 정적연소실내 메탄-수소 희박혼합기의 연소특성 연구(I))

  • 김봉석
    • Journal of Energy Engineering
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    • v.12 no.2
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    • pp.124-130
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    • 2003
  • In the present study, the combustion characteristics of methane and hydrogen-supplemented methane as alternative fuels for automotive vehicles were investigated at various hydrogen substitution rate, ignition position and ignition methods in a CVCC. As a result, it is possible to decrease the total burning time and to obtain the reduction of NO concentration by using MSCDI device under the lean mixture conditions without deteriorating combustion characteristics such as combustion efficiency, maximum combustion pressure etc.. And by mixing hydrogen into methane, it was found that the reduction of the total burning time was obtained, in comparison with the use of methane only ; and at the same time, the combustion promotion rate was improved remarkably in comparison with the use of methane only.

Combustion Characteristics of Stratified Mixture in a Constant Volume Combustion Chamber with Sub-chamber (II) (부실식 정적연소실내 층상혼합기의 연소특성(II))

  • Kim, B.S.;Kwon, C.H.;Ryu, J.I.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.3 no.5
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    • pp.122-134
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    • 1995
  • The present study was investigated combustion characteristics of methane-air mixtures at stratified charge in a constant volume combustion chamber. The main results obtained from this study can be summarized as follows. In case of ${\phi}_s=1.0$, total burning times greatly affected rather than initial time of pressure increase and maximum combustion pressure. In case of ${\phi}_t=1.0$, initial time of pressure increase and total burning times were affected considerably in comparison with the case of ${\phi}_s=1.0$. Also, even the very lean mixture which total equivalence ratio is ${\phi}_t=0.69$(${\phi}_s=1.0$, ${\phi}_m=0.65$), by changing configuration of the critical passage-hole and using a stratified mixture, it is possible to decrease substantially the initial time of pressure increase. total burning times and NOx concentration without deteriorating combustion characteristics such as maximum combustion pressure, rate of heat release etc. in comparison with the use of single chamber(in case of ${\phi}=1.0$) only. Specifically, our trends were revealed remarkably in the case of Type D which is reduced a flame contact area of sub-chamber side of the passage-hole.

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Deterioration of Mental Health in Children and Adolescents During the COVID-19 Pandemic

  • Eunkyung Jo;Kyoil Seo;Boram Nam;Deokyong Shin;Seohyun Kim;Youngil Jeong;Aeju Kim;Yeni Kim
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.34 no.1
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    • pp.21-29
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    • 2023
  • This paper reviews the global effect of the coronavirus disease 2019 (COVID-19) pandemic on the mental health of children and adolescents in South Korea, the U.S., Japan, and China. We reviewed research on deteriorated mental health, including increased suicide, suicidal thoughts, and self-harm. Various studies have shown that students' mental health issues, such as depression and anxiety, have worsened during the COVID-19 pandemic. Furthermore, the number of students who committed suicide has significantly increased in the U.S. and Japan. Factors such as prior mental health status, change in daily routine, reduced physical activity, excessive screen time, overuse of electronic devices, and reduced social support have been reported to have a significant effect. The chain of deteriorating mental health among the youth began at the onset of COVID-19, social distancing, and school closure. As youths began to stay at home instead of going to school, they lost opportunities to connect with their friends or teachers, who could provide support outside of their homes. Young people spent less time on physical activity and more time online, which damaged their sleeping schedule and daily routine. In preparing for the post-pandemic phase, we should thoroughly analyze the long-term effects of the pandemic on youth mental health, while simultaneously tackling current imminent issues.

A deep neural network to automatically calculate the safety grade of a deteriorating building

  • Seungho Kim;Jae-Min Lee;Moonyoung Choi;Sangyong Kim
    • Smart Structures and Systems
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    • v.33 no.4
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    • pp.313-323
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    • 2024
  • Deterioration of buildings is one of the biggest problems in modern society, and the importance of a safety diagnosis for old buildings is increasing. Therefore, most countries have legal maintenance and safety diagnosis regulations. However, the reliability of the existing safety diagnostic processes is reduced because they involve subjective judgments in the data collection. In addition, unstructured tasks increase rework rates, which are time-consuming and not cost-effective. Therefore, This paper proposed the method that can calculate the safety grade of deterioration automatically. For this, a DNN structure is generated by using existing precision inspection data and precision safety diagnostic data, and an objective building safety grade is calculated by applying status evaluation data obtained with a UAV, a laser scanner, and reverse engineering 3D models. This automated process is applied to 20 old buildings, taking about 40% less time than needed for a safety diagnosis from the existing manual operation based on the same building area. Subsequently, this study compares the resulting value for the safety grade with the already existing value to verify the accuracy of the grade calculation process, constructing the DNN with high accuracy at about 90%. This is expected to improve the reliability of aging buildings in the future, saving money and time compared to existing technologies, improving economic efficiency.