• Title/Summary/Keyword: Noise management

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An Efficient Taguchi Approach for the Performance Optimization of Health, Safety, Environment and Ergonomics in Generation Companies

  • Azadeh, Ali;Sheikhalishahi, Mohammad
    • Safety and Health at Work
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    • v.6 no.2
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    • pp.77-84
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    • 2015
  • Background: A unique framework for performance optimization of generation companies (GENCOs) based on health, safety, environment, and ergonomics (HSEE) indicators is presented. Methods: To rank this sector of industry, the combination of data envelopment analysis (DEA), principal component analysis (PCA), and Taguchi are used for all branches of GENCOs. These methods are applied in an integrated manner to measure the performance of GENCO. The preferred model between DEA, PCA, and Taguchi is selected based on sensitivity analysis and maximum correlation between rankings. To achieve the stated objectives, noise is introduced into input data. Results: The results show that Taguchi outperforms other methods. Moreover, a comprehensive experiment is carried out to identify the most influential factor for ranking GENCOs. Conclusion: The approach developed in this study could be used for continuous assessment and improvement of GENCO's performance in supplying energy with respect to HSEE factors. The results of such studies would help managers to have better understanding of weak and strong points in terms of HSEE factors.

Client Collaboration for Power and Interference Reduction in Wireless Cellular Communication

  • Nam, Hyungju;Jung, Minchae;Hwang, Kyuho;Choi, Sooyong
    • IEIE Transactions on Smart Processing and Computing
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    • v.1 no.2
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    • pp.117-124
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    • 2012
  • A client collaboration (CC) system is proposed for a user relay system. The proposed scheme focuses on the management of transmit power and leakage interference. In the proposed CC system, edge users transmit signals to the masters considered as user relays. The masters relay the signals of the edge users to the base station using the resource blocks (RBs) that are assigned to the edge users. The leakage interference and power consumption were analyzed in the CC system. In addition, an optimal master location problem was formulated based on the signal-to-leakage-plus-noise ratio (SLNR). Because the optimal master location problem is quite complex, a sub-optimal master location problem was proposed and a closed-form sub-optimal master location was obtained. The edge users generate smaller leakage interference and power consumption in the proposed CC system compared to the system without the CC. The numerical results showed that the edge users generate smaller leakage interference and power consumption in the proposed CC system compared to the system without the CC, and the average throughput increases.

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Interconnect Process Technology for High Power Delivery and Distribution (전력전달 및 분배 향상을 위한 Interconnect 공정 기술)

  • Oh, Keong-Hwan;Ma, Jun-Sung;Kim, Sungdong;Kim, Sarah Eunkyung
    • Journal of the Microelectronics and Packaging Society
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    • v.19 no.3
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    • pp.9-14
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    • 2012
  • Robust power delivery and distribution are considered one of the major challenges in electronic devices today. As a technology develops (i.e. frequency and complexity, increase and size decreases), both power density and power supply noise increase, and voltage supply margin decreases. In addition, thermal problem is induced due to high power and poor power distribution. Until now most of studies to improve power delivery and distribution have been focused on device circuit or system architecture designs. Interconnect process technologies to resolve power delivery issues have not greatly been explored so far, but recently it becomes of great interest as power increases and voltage specification decreases in a smaller chip size.

The Effect of Vocal Function Exercise on Voice Improvement in Patients with Vocal Nodules (성대 기능 훈련이 성대결절 환자의 음성개선에 미치는 효과)

  • Lim, Hye-Jin;Kim, Jeong-Kyu;Kwon, Do-Ha;Park, Jun-Young
    • Phonetics and Speech Sciences
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    • v.1 no.2
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    • pp.37-42
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    • 2009
  • The purpose of the present study was to determine the effect of the management program known as vocal function exercise (VFE) on voice quality. Typical VFE was modified and applied to patients with vocal nodules by controlling intensity of voice and relieving the vocal fold to solve hyperfunctional problems in VFE. Eight female subjects aged between 28 and 54 who had been diagnosed with vocal nodules took part in the study. The patients performed VFEs once a week for eight weeks. Vocal function exercises consist of voice hygiene, respiratory training, phonation training, and glide training. The subjects' voices were analyzed pre and post therapy on the aspects of acoustics, maximum phonation time (MPT), GRBAS, and voice handicap index (VHI). As a result, it was found that fundamental frequency ($F_o$) was significant increased, shimmer decreased remarkably and that noise to harmonic ratio (NHR) lowered obviously in the acoustic parameter. In addition, MPT was increased significantly. The scale of GRBAS indicated significant improvement in grade, roughness, and strained voice. VHI indicated significant improvement in an emotional part. In conclusion, VFE was effective in improving voice quality for patients with vocal nodules.

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Skills Framework for HRD in IT Industry (정보통신 분야의 인적자원개발을 위한 스킬 프레임워크)

  • Ju, In-Joong;Kim, Sang-Ho
    • Journal of Information Management
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    • v.36 no.4
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    • pp.117-136
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    • 2005
  • 'IT skills framework' provides a common reference model for the identification of the skills needed to develop effective information system making use of information and communications technologies. It is a simple and logical two-dimensional framework consisting of areas of work on axis and levels of responsibility on the other. It uses a common language and a sensible, logical structure that can be adapted for the HRD(human resources development) For example (1) gather labour market intelligence coherently and consistently (2) quantify the skill requirements of the ICT market (3) set up the career path for IT workers and so on.

Objective Measures of Voice Production in Telephone Operators (교환수들의 음성발성에 대한 평가)

  • 진성민
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.8 no.1
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    • pp.38-43
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    • 1997
  • Backgroud : Now a days, most studies for professional voice user have been performed after artificial voice abuse without consideration of environmental and personal factors, and occupational specificity, therefore those studies have some problems. Objectives : To make a basic guideline for the management of untrained professional voice user, practically we ananalyzed the voice of experimental group. Materials and methods : Just after working, the sustained vowel sounds of the 15 female telephone operators (subjective group) and the 20 normal female persons (control group) were analysed, using a history paper, acoustic analyzer and videostroboscopy. Results : The most common symptom in subjective group was dysphonia. Stroboscopic findings in subjective group were as following ; posterior chink 11 cases (73%), incomplete closure 2 cases (13%), anterior chink 1 case (7%). The mean maximal phonation time in telephone operators was 12.8 seconds and in control group was 16.8 seconds. Jitter, pitch pertubation quotient (PPQ), shimmer and amplitude pertubation quotient (ASQ) were significantly increased in subjective group than control group, but there is no difference between two group in fundamental frequency and noise to harmonic ratio. Conclusion : Untrained professional voice user needs professional career guidance and counseling. And when we manage the untrained professional voice user, we should consider specific occupational, personal and environmental factors as well as laryngeal factors.

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Design of an RCGA-based Linear Active Disturbance Rejection Controller for Ship Heading Control

  • Ahn, Jong-Kap;So, Myung-Ok
    • Journal of Navigation and Port Research
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    • v.44 no.5
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    • pp.423-429
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    • 2020
  • A ship's automatic steering system is the basis for addressing control difficulties related to course-changing and course-keeping during navigation through heading angle control, and is a link in realizing unmanned and autonomous ships. This study proposes a robust RCGA-based linear active disturbance rejection controller (LADRC) design method considering environmental disturbances, measurement noise, and model uncertainties in designing a ship heading controller for use when the ship is sailing. The LADRC consisted of a transient profile, a linear extended state observer, and a PD controller. The control gains in the LADRC with the linear extended state observer were adjusted by RCGAs to minimize the integral of the time-weighted absolute error (ITAE), which is an evaluation function of the control system. The proposed method was applied to ship heading control, and its effectiveness was validated by comparing the propulsive energy loss between the proposed method and a conventional linear PD controller. The simulation results showed that the proposed method had the advantages of lower propulsive energy loss, more robustness, and higher tracking precision than the conventional linear PD controller.

Improvement of Multivariable, Nonlinear, and Overdispersion Modeling with Deep Learning: A Case Study on Prediction of Vehicle Fuel Consumption Rate (딥러닝을 이용한 다변량, 비선형, 과분산 모델링의 개선: 자동차 연료소모량 예측)

  • HAN, Daeseok;YOO, Inkyoon;LEE, Suhyung
    • International Journal of Highway Engineering
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    • v.19 no.4
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    • pp.1-7
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    • 2017
  • PURPOSES : This study aims to improve complex modeling of multivariable, nonlinear, and overdispersion data with an artificial neural network that has been a problem in the civil and transport sectors. METHODS: Deep learning, which is a technique employing artificial neural networks, was applied for developing a large bus fuel consumption model as a case study. Estimation characteristics and accuracy were compared with the results of conventional multiple regression modeling. RESULTS : The deep learning model remarkably improved estimation accuracy of regression modeling, from R-sq. 18.76% to 72.22%. In addition, it was very flexible in reflecting large variance and complex relationships between dependent and independent variables. CONCLUSIONS : Deep learning could be a new alternative that solves general problems inherent in conventional statistical methods and it is highly promising in planning and optimizing issues in the civil and transport sectors. Extended applications to other fields, such as pavement management, structure safety, operation of intelligent transport systems, and traffic noise estimation are highly recommended.

Comparative Studies of Frequency Estimation Method for Fault Disturbance Recorder (고장 왜란 기록기를 위한 주파수 추정 기법의 비교 연구)

  • Park, Chul-Won
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.61 no.2
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    • pp.87-92
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    • 2012
  • Voltage and current phasor estimation has been executed by GPS-based synchronized PMU, which has become an important way of wide-area blackout protection for the prevention of expending faults in a power system. The PMU technique can not easily get the field data and it is impossible to share information, so that there has been used a FNET(Frequency Monitoring Network) method for the wide-area intelligent protection in USA. It consists of FDR(Fault Disturbance Recorder) and IMS(Information Management System). Therefore, FDR must provide an optimal frequency estimation method that is robust to noise and failure. In this paper, we present comparative studies for the frequency estimation method using IRDWT(Improved Recursive Discrete Wavelet Transform), FRDWT(Fast Recursive Discrete Wavelet Transform), and DFT(Discrete Fourier Transform). The Republic of Korea345[kV] power system modeling data by EMTP-RV are used to evaluate the performance of the proposed two kinds of RDWT(Recursive Discrete Wavelet Transform) and DFT. The simulation results show that the proposed frequency estimation technique using FRDWT could be the optimal frequency measurement method, and thus be applied to FDR.

Uncooled Microbolometer FPA Sensor with Wafer-Level Vacuum Packaging (웨이퍼 레벨 진공 패키징 비냉각형 마이크로볼로미터 열화상 센서 개발)

  • Ahn, Misook;Han, Yong-Hee
    • Journal of Sensor Science and Technology
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    • v.27 no.5
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    • pp.300-305
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    • 2018
  • The uncooled microbolometer thermal sensor for low cost and mass volume was designed to target the new infrared market that includes smart device, automotive, energy management, and so on. The microbolometer sensor features 80x60 pixels low-resolution format and enables the use of wafer-level vacuum packaging (WLVP) technology. Read-out IC (ROIC) implements infrared signal detection and offset correction for fixed pattern noise (FPN) using an internal digital to analog convertor (DAC) value control function. A reliable WLVP thermal sensor was obtained with the design of lid wafer, the formation of Au80%wtSn20% eutectic solder, outgassing control and wafer to wafer bonding condition. The measurement of thermal conductance enables us to inspect the internal atmosphere condition of WLVP microbolometer sensor. The difference between the measurement value and design one is $3.6{\times}10-9$ [W/K] which indicates that thermal loss is mainly on account of floating legs. The mean time to failure (MTTF) of a WLVP thermal sensor is estimated to be about 10.2 years with a confidence level of 95 %. Reliability tests such as high temperature/low temperature, bump, vibration, etc. were also conducted. Devices were found to work properly after accelerated stress tests. A thermal camera with visible camera was developed. The thermal camera is available for non-contact temperature measurement providing an image that merged the thermal image and the visible image.