• Title/Summary/Keyword: External Sound

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A Research to Reinforce Training Helicopter Pilots on Flight with External Sling Loads : focusing on Cases from EASA and FAA (회전익 항공기의 외부 인양물에 대한 조종사 훈련 활성화 방안 연구 : EASA 및 FAA 사례를 중심으로)

  • Jae-Kap Hwang;Ji-Seung Jang
    • Journal of Advanced Navigation Technology
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    • v.27 no.3
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    • pp.255-261
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    • 2023
  • A main purpose of this research was to analyze environmental factors to influence helicopter accidents contrary to the fact that the almost 80% of helicopter accidents happened due to pilots' human errors. There have been about 14 helicopter accidents in civil aviation sector last decade. It is noteworthy that nine of 14 accidents happened during the external sling load operation. Moreover, there is no law or regulation which could cover the helicopter external sling load operation or human external cargo in Korea. In this paper, it was analyzed the training and education regulations regarding helicopter external sling load operation or human external cargo in regulations of FAA and EASA, Based on analyzing and comparing the FAR part 133 and domestic aviation law (aviation safety act and flight safety regulations), it was found out the implication how to apply helicopter type rating for external sling load operation and human external cargo operation. To sum up, this paper expect central government should cooperate and amend aviation law which apply external sling load operation and external cargo to establish sound safety culture in Korea.

Feasibility of Bone Conduction Earphones for Auditory Brain-Computer Interface (청각 기반 뇌-컴퓨터 인터페이스 구현을 위한 골전도 이어폰의 활용 가능성)

  • Lee, Ju-Ok;Ju, Gyeong-Ho;Kim, Do-Won
    • Journal of Biomedical Engineering Research
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    • v.41 no.1
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    • pp.22-27
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    • 2020
  • Auditory stimuli are commonly used in various electroencephalogram experiments, also in EEG-based brain-computer interface systems. However, using conventional earphones that blocks the ear canal attenuates or even blocks external environmental sound which might cause loss of crucial information from surroundings. Instead, bone-conductive earphones are able to deliver sound through vibration without blocking the ear canal. To investigate the feasibility of the bone-conductive earphones for auditory-stimuli based experiments, we compared N100 event-related potential features as well the event-related spectral perturbation and inter-trial coherence of auditory steady-state response between conventional and bone-conductive earphones. The results showed no significant differences between bone conduction and conventional earphones regardless of distinct sound pressures. This result shows that bone conductive earphones can be used for auditory experiments when the environmental sound is crucial to the user.

Noise Prediction of Korea High Speed Train (KHST) and Specification of Sub-components (한국형 고속전철 차량소음 예측 및 부품 소음관리방안)

  • ;;;H.W. Thrane
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.12 no.10
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    • pp.758-765
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    • 2002
  • KITECH and ODS performed a study of internal and external noise prediction of the Korean high speed prototype test train(HSR 350X). The object of this study was 3 kinds of cars, trailer car(TT2), motorized car(TMI ) and power car(TPI) and the predicted noise was for the two different driving speeds in free field and tunnel conditions. Data of carbody design and noise sources were delivered from manufactures. Some of noise sources which were not available in the project team, were chosen by experiences of ODS. Internal noise level of each car was predicted for two cases i.e, at 300 km/h and 350 km/h. In addition sound transmission path and dominant noise sources were also investigated for each section of the car, which is circular shell typed part of whole carbody. In case of TT2, the dominating sound transmission path is the (floor in terms of structure-borne noise and air-borne noise. The main noise sources are structure-borne noise from the yaw-damper and air-borne noise from the wheel/rail contact, whereas the dominating sound transmission path of TMI are floor and sidewall below the window in terms of structure-borne noise. The main noise sources of TMI are structure-borne noise from motor/gear unit and the yaw-damper in the free field, and air-borne noise from the wheel/rail contact and structure-borne noise from motor/gear unit in the tunnel. Through the external noise prediction for the KHST test train formation, the noise form the wheel/rail contact is estimated as one of the major sources. In addition, the noise specification of sub-component was proposed for managing each sub-surpplier to reach the KHST noise requirement. The specification provide the sound power of machinery part and transmission loss of component of carbody structure. The predicted noise level in each case exceeded the required limit. Through this study, the noise characteristics of the test train were investigated by simulation, and then the actual test will be performed in near future. Both measured and calculated data will be compared and further work for noise reduction will be continued.

Noise Prediction of Korea High Speed Train (KHST) and Specification of Sub-components (한국형 고속전철 차량소음 예측 및 부품 소음관리방안)

  • ;;;H.W. Thrane
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.05a
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    • pp.917-923
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    • 2002
  • KITECH and ODS performed a study of internal and external noise prediction of the KHST test train. The object of this study was 3 kind of cars; trailer car(TT2), motorized car(TM1) and power car(TP1) and the predicted noise was calculated for the two different driving speeds in free field and tunnel conditions. Data of carbody design and noise sources were delivered from each manufactures. Some of noise sources which were not available in project team, were chosen by experiences of ODS. Internal noise level of each car were predicted for two cases i.e, at 300 km/h and 350 km/h. In addition sound transmission path and dominant noise sources were also investigated of each section of car, which is circular shell typed part of whole carbody. In case of TT2, the dominating sound transmission path is floor in terms or structure-borne noise and air-borne noise. The main noise sources are structure-borne noise from the yaw-damper and air-borne noise from the wheel/rail contact, whereas the dominating sound transmission path of TM1 are floor and sidewall below the window in terms of structure-borne noise. The main noise sources of TM1 are structure-borne noise from motor/gear unit and the yaw-damper in the free field, and air-borne noise from the wheel/rail contact and structure-borne noise from motor/gear unit in the tunnel. Through the external noise prediction for the KHST test train formation, the noise form the wheel/rail contact is estimated as one of the major sources. In addition, the noise specification of sub-component was proposed for managing each sub-surpplier to reach the KHST noise requirement. The specification provide the sound power of machinery part and transmission loss of component of carbody structure. The predicted noise level in each case exceeded the required limit. Through this study, the noise characteristics of the test train were investigated by simulation, and then the actual test will be performed in near future. Both measured and calculated data will be compared and further work for noise reduction will be continued.

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The Study for Vibro-acoustic Noise Analysis in the Fuselage of Regional Turboprop Airplane (중형항공기 동체 소음해석 기법 연구)

  • Park, Illkyung;Kim, Sungjoon;Jung, Jinduck
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.20 no.3
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    • pp.44-50
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    • 2012
  • The noise reduction is important one of considerations in the process of a civil aircraft development program. External noise sources are classified into an air-born source and a structure-born source. Among these noise sources, the most affected noise source into a cabin is the air-born noise source from an engine or propeller. The external noise is transmitted into the cabin through the fuselage structure of airplane which are composed of an fuselage structure, an interior trim panel and an acoustic insulation layer between an fuselage structure and an interior trim panel. Therefore, appropriate fuselage structure and acoustic insulation layer is very important to reduce the internal noise level. In this paper, the vibro-acoustic coupled analysis of the cabin noise of the 80~90 seats regional turboprop aircraft is carried out to validate the acoustic analysis method using Direct BEM and FEM. The sound pressure level onto the fuselage skin is acquired by fan-source noise analysis using BEM, and which sound pressure is used as acoustic noise source in vibro-acoustic noise analysis for cabin noise analysis using FEM.

Algorithm for Discrimination of Brown Rice Kernels Using Machine Vision

  • C.S. Hwang;Noh, S.H.;Lee, J.W.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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    • pp.823-833
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    • 1996
  • An ultimate purpose of this study is to develop an automatic brown rice quality inspection system using image processing technique. In this study emphasis was put on developing an algorithm for discriminating the brown rice kernels depending on their external quality with a color image processing system equipped with an adaptor for magnifying the input image and optical fiber for oblique illumination. Primarily , geometrical and optical features of sample images were analyzed with unhulled paddy and various brown rice kernel samples such as sound, cracked, green-transparent , green-opaque, colored, white-opaque and brokens. Secondary, an algorithm for discrimination of the rice kernels in static state was developed on the basis of the geometrical and optical parameters screened by a statistical analysis(STEPWISE and DISCRIM Procedure, SAS ver.6). Brown rice samples could be discriminated by the algorithm developed in this study with an accuracy of 90% to 96% for the sound , cracked, colored, broken and unhulled , about 81% for the green-transparent and the white-opaque and about 75% for the green-opaque, respectively. A total computing time required for classification was about 100 seconds/1000 kernels with the PC 80486-DX2, 66MHz.

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Tool Monitoring System using Vision System with Minimizing External Condition (환경영향을 최소화한 비전 시스템을 이용한 미세공구의 상태 감시 기술)

  • Kim, Sun-Ho;Baek, Woon-Bo
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.5
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    • pp.142-147
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    • 2012
  • Machining tool conditions directly affect to quality of product and productivity of manufacturing. Many researches performed for tool condition monitoring in machining process to improve quality and productivity. Conventional methods use characteristics of signal for cutting force, motor current consumption, vibration of machine tools and machining sound. Recently, diameter of machining tool is become smaller for minimizing of mechanical parts. Tool condition monitoring using conventional methods are relatively difficult because micro machining using small diameter tool has low machining load and high cutting speed. These days, the direct monitoring for tool conditions using vision system is performed actively. But, vision system is affected by external conditions such as back ground of image and illumination. In this study, minimizing technology of external conditions using distribution analysis of image data are developed in micro machining using small diameter drill and tap. The image data is gathered from vision system. Several sets of experiment results are performed to verify the characteristics of the proposed machining technology.

Investigation of Source Modelling for External Noise Prediction of Railway Vehicles (철도차량 외부소음 예측을 위한 음원모델에 관한 고찰)

  • Kim, Jong-Nyeun
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.1069-1077
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    • 2009
  • For external noise prediction of railway vehicles, sophisticated individual source modelling as well as appropriate noise propagation model from the sources is necessary to ensure the accuracy of the predicted results and contributions of each equipment to the overall noise levels. Accurate and reasonable identification procedures of sound sources of equipment including source strength, directivity and positions installed in the train play an important role in a prediction model, since it is not easy to establish a simple model for the sources with a single rule due to the complexity of source characteristics of equipment in size and directivity pattern. This paper guidelines practical considerations for identification of noise sources in railway vehicles including typical source characteristics of several sub-systems that emits noise to the environment, particularly for electric multiple unit(EMU), and verify effectiveness of assumptions used in the modelling of equipment by measurement with a simple part. The predicted external noise level of a complete train using Exnoise, which was developed by Hyundai-Rotem and has been verified in the a lot of field-tests, incorporating source modelling considered in this paper shows close correlation with the measured ones.

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Effect of building volume and opening size on fluctuating internal pressures

  • Ginger, John D.;Holmes, John D.;Kopp, Gregory A.
    • Wind and Structures
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    • v.11 no.5
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    • pp.361-376
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    • 2008
  • This paper considers internal pressure fluctuations for a range of building volumes and dominant wall opening areas. The study recognizes that the air flow in and out of the dominant opening in the envelope generates Helmholtz resonance, which can amplify the internal pressure fluctuations compared to the external pressure, at the opening. Numerical methods were used to estimate fluctuating standard deviation and peak (i.e. design) internal pressures from full-scale measured external pressures. The ratios of standard deviation and peak internal pressures to the external pressures at a dominant windward wall opening of area, AW are presented in terms of the non-dimensional opening size to volume parameter, $S^*=(a_s/\bar{U}_h)^2(A_W^{3/2}/V_{Ie})$ where $a_s$ is the speed of sound, $\bar{U}_h$ is the mean wind speed at the top of the building and $V_{Ie}$ is the effective internal volume. The standard deviation of internal pressure exceeds the external pressures at the opening, for $S^*$ greater than about 0.75, showing increasing amplification with increasing $S^*$. The peak internal pressure can be expected to exceed the peak external pressure at the opening by 10% to 50%, for $S^*$ greater than about 5. A dominant leeward wall opening also produces similar fluctuating internal pressure characteristics.

Reaction Test Platform and Application by Auditory and Visual Stimulus for Language Learning Ability Improvement (언어 학습 능력 향상을 위한 청각 및 시각 자극에 대한 반응속도 측정 플랫폼과 응용)

  • Lee, Hye-Ran;Beak, Seung-Hyun
    • Journal of Internet Computing and Services
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    • v.11 no.1
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    • pp.77-84
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    • 2010
  • Children, who have a language disorder, have difficulty in expressing their reaction about stimulus of sound and vision. So it is very hard to grasp that they recognize external stimulus or not. For solving these problem, we can check response time and make them to choose stimulus by giving stimulus of sound and vision to them through Audio and Visual Stimulus and Reaction Meter System. Additionally, We can help them by improving response time by repeated study based on the results and making them to recognize and choose stimulus faster without aversion about external stimulus. It would make them not to feel uncomfortable and isolated because they are unfamiliar with external stimulus.