• Title/Summary/Keyword: Ear-based

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Development of Drawbead Expert Models for Finite Element Analysis of Sheet Metal Forming Processes(Part 2:Modeling) (박판성형공정의 유한요소해석을 위한 드로우비드 전문모델 개발(2부: 모델링))

  • Keum, Yeong-Tak;Lee, Jae-U
    • Transactions of Materials Processing
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    • v.7 no.1
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    • pp.12-22
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    • 1998
  • An expert drawbead model is developed for the finite element analysis of stamping processes. The expert model calculates drawbead restraining forces and bead-exit thinnings with the forming condi-tions and drawbead size. The drawbead restraining forces and bead-exit thinnings of a circular draw-bead and stepped drawbead are computed by mathematical models and corrected by the multiple lin-ear regression method based on experimental measurements. The squared drawbead preventing the sheet from drawing-in inside die cavity is assumed to have a very huge drawbead restraining force and no pre-strain just after drawbead. The combined beads are considered as a combination of basic draw-beads such as circular a drawbead stepped drawbead and squared drawbead so that the drawbead restraining forces and bead-exit thinnigs are basically sum of those of basic drawbeads.

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Digital Isolated Word Recognition System based on MFCC and DTW Algorithm (MFCC와 DTW에 알고리즘을 기반으로 한 디지털 고립단어 인식 시스템)

  • Zang, Xian;Chong, Kil-To
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.290-291
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    • 2008
  • The most popular speech feature used in speech recognition today is the Mel-Frequency Cepstral Coefficients (MFCC) algorithm, which could reflect the perception characteristics of the human ear more accurately than other parameters. This paper adopts MFCC and its first order difference, which could reflect the dynamic character of speech signal, as synthetical parametric representation. Furthermore, we quote Dynamic Time Warping (DTW) algorithm to search match paths in the pattern recognition process. We use the software "GoldWave" to record English digitals in the lab environments and the simulation results indicate the algorithm has higher recognition accuracy than others using LPCC, etc. as character parameters in the experiment for Digital Isolated Word Recognition (DIWR) system.

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Noise reduction of a vehicle acoustic cavity sample using coupled Structural-Acoustic element analysis (구조-음향 연성해석을 통한 모형차실 모델의 소음저감 기술연구)

  • 김태정;강성종;서정범
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1994.10a
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    • pp.288-294
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    • 1994
  • A study of prediction and qualification techniques for structure borne booming noise is presented in this paper. Result from acoustic normal mode finite element analysis of a 1/2 size vehicle cavity sample model is compared to the that from an experiment. Coupled structural-acoustic analysis is performed on a 1/4 size vehicle cavity sample model surrounded by 2 mm thick normal steel plates. Interior noise levels around passensger's ear position are predicted and reduced by structural modification based on panel participation factor analysis about the sample cavity model. Futhermore, optimization technique in application of anti-vibration pad is studied.

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Design of Audio Watermarks by Noise Shaping (잡음 형상화에 의한 오디오 워터마크 설계)

  • Lee, Jin-Geol
    • Journal of Korea Multimedia Society
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    • v.8 no.11
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    • pp.1432-1438
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    • 2005
  • A psychoacoustic model based noise shaping method is proposed. The method shapes the noise in the frequency domain such that its presence with a host signal will not be perceptually noticeable. The derivation of imperceptible noise levels from the masking thresholds of the signal involves deconvolution associated with the spreading function in the psychoacoustic model. It has been known as an ill-conditioned Problem. In this paper, a constrained optimization is applied such that the noise excitation level conforms to the masking thresholds of the signal. Thus, the noises embedded in the signal will not be perceived by human ear, and its performance is demonstrated experimentally.

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Case Analysis of Corporate Marketing using SNS (SNS(Social Network Service)를 이용한 기업 마케팅 사례 분석)

  • Cho, Munyong;Kim, Changsu;Cho, Hwihyung;Kim, Bumsoo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.1
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    • pp.183-196
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    • 2015
  • With widespread use of smart phones, SNS has been growing rapidly. Companies are required to do its utilization and a preemptive response. However, taking advantage of SNS is still insignificant in the companies. Compared with traditional marketing, people still consider the SNS marketing unfamiliar. This study is aimed at widening the breadth of understanding of marketing activity using SNS and inquiring into its effective applications. In an effort to achieve this research objective, first, this study analyzed the aspect of real applications by reviewing diverse practical business cases. Second, this study provided the momentum of the understanding of SNS marketing-based knowledge. The effective method of producing consumer-intimate products and services lies in customers' participation in development and production. SNS marketing is the very communication and gives ear to a customer's voice. Earnest and creative SNS marketing will play a role as a stepping-stone for businesses to move much closer to a customer.

A study on the evaluation technique of floor impact noises using Cross-matching and AAS (Cross-matching과 AAS에 의한 바닥충격음 평가기술에 관한 연구)

  • Jeong, Young;Kim, Jeong-Mi;Jeon, Jin-Yong
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.172-176
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    • 2000
  • A series of preliminary experiments were carried out to quantify the annoyance are noisiness caused by floor impact noise. From the results of the experiments. the heavy impact source was found to be felt louder and noisier than the light impact source. Measurements of noise were also conducted by a diagnostic system based on the model(the model consists of the autocorrelators and the cross-correlation for signals arriving at two ear entrants) of the human auditory-brain system. Physical factors in the model were calculated by use of the ACF(autocorrelation function) and IACF(interaural cross correlation function) of binaural signals. From the ACF/IACF analysis, it was found that perceived loudness of floor impact noise could be represented by the factors of the ACF/IACF model.

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Ramsay-Hunt Syndrome involving the 2nd, 3rd cervical ganglia (경부 2, 3번 피부절을 침범한 Ramsay-Hunt 증후군 1례)

  • Lee, Chung Seok;Choi, Yong Seok;Song, Eun Hyang;Kim, Jeung Mee;Han, Jeong Ho;Kim, Doo Eung
    • Annals of Clinical Neurophysiology
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    • v.4 no.1
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    • pp.85-88
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    • 2002
  • Ramsay-Hunt syndrome is a viral disease associated with peripheral facial nerve paralysis accompany by erythematous vesicular rashs on the ear(zoster oticus) or in the mouth. Based on clinical presentations that indicated involvement of more than one ganglion, the gasserian, geniculate, petrous, accessory, jugular and second and third dorsal root ganglia comprised a chain in which inflammation of a single ganglion could extend to nearby ganglia. A 71-year-old man presented with left. peripheral facial palsy with otalgia, vesicular eruption in $V_2$, $V_3$, C2, C3 dermatome, tinnitus, and hearing loss.

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A Study on Detection of Latency of EOAE Signal using QMF (QMF를 이용한 유발 이음형 방사신호의 잠시 검출에 관한 연구)

  • Chung, Woo-Hyun;Beack, Seung-Hwa
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.3221-3223
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    • 1999
  • OAEs are low-level sounds produced by cochlea as part of the normal hearing process. OAEs can be measured with a microphone placed in the outer ear-cannel. We can diagnose cochlea's condition by using OAEs. To diagonose it's condition, however, is difficult by reason of OAEs' tiny. Thus, It need to a method using latency which essential diagnosing a time-element of OAEs. This study proposes a latency detection algorithm using 7-QMF for more effective detection of latency, 7-QMF designed by wavelet theory can process signal without a losses of information. The latency-detector based on 7-QMF is superior to former method.

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A Study of Voice signal Capture for communication in the AFV (기동무기체계에서의 통신을 위한 음성신호 포착 연구)

  • 김석봉;이성태
    • Journal of the Korea Institute of Military Science and Technology
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    • v.6 no.1
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    • pp.81-90
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    • 2003
  • In the military communication environment, it is very difficult to obtain clear voice signal due to the high level noise. The purpose of this study is to find out the best body spot to get the vocal chords signal by measuring the skin or the bone conducting vibrations of different body positions within the noise environment. Based on the experimental study, it was found out that the measurement of sound signal within the ear is the best way to get the voice which comes from the vocal chords and this method can prevent the interruption of noise. This study will give the effective voice communication method in the high noise environment and be applicable to military purpose.

Rhinolith: An incidental radiographic finding

  • Maheshwari, Nisha;Etikaala, Badirinath;Syed, Ali Z.
    • Imaging Science in Dentistry
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    • v.51 no.3
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    • pp.333-336
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    • 2021
  • Rhinoliths are foreign bodies composed of mineralised deposits in the nasal cavity that are rarely encountered in routine dental practice. The current report presents a case of a 77-year-old female patient who visited a dental treatment centre for a routine dental check-up and prophylaxis. On the clinical examination, the patient did not report any breathing difficulty, nasal obstruction, or any form of discharge. Panoramic radiography showed a horizontally magnified radiopaque structure in the right nasal fossa region. Cone-beam computed tomography (CBCT) revealed a hyperdense entity with a laminated presentation in the right nasal fossa. The hyperdense entity was diagnosed as a rhinolith based on the radiographic findings. Although the patient was asymptomatic, a referral was made to an ear, nose, and throat surgeon for a further evaluation. This report highlights the importance of CBCT imaging in the diagnosis of soft-tissue calcifications.