• Title/Summary/Keyword: Coherence

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Effects of the Subjective Family Class on the Suicide Ideation of Adolescents: Double Mediating Effect of Social Support and Sense of Coherence

  • Kim, Jiyoun;Ko, Young
    • Research in Community and Public Health Nursing
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    • v.31 no.3
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    • pp.269-278
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    • 2020
  • Purpose: The study was conducted to identify the relationship between subjective family class and suicidal ideation and to determine the double mediating effect of social support and sense of coherence on their relationship. Methods: Secondary analysis of data from 2015 Korean Psycho-social Anxiety which was a population-based representative was performed. Double mediating effects of social support and sense of coherence on suicidal ideation were analyzed using the PROCESS macro (model 6) with bootstrapping methods. Results: Subjective family class directly influenced social support (β=.20, p<.001) and sense of coherence (β=.10, p<.001). Subjective family class directly influenced suicide ideation (β=-.08, p<.001). Sense of coherence was directly influenced by social support (β=.28, p<.001). Suicide ideation was indirectly influenced by subjective family class through social support (β=-.22, p<.001) and sense of coherence (β=-.36, p=.001). The size of direct effect of subjective family class on suicide ideation was 0.24 and the total size of indirect effect was 0.12. Conclusion: Intervention to improve social support and sense of coherence is needed to prevent the suicide among adolescents.

On-line noise coherence estimation algorithm for binaural speech enhancement system (양이형 음성 음질개선 시스템을 위한 온라인 잡음 상관도 추정 알고리즘)

  • Ji, Youna;Baek, Yong-hyun;Park, Young-cheol
    • The Journal of the Acoustical Society of Korea
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    • v.35 no.3
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    • pp.234-242
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    • 2016
  • In this paper, an on-line noise coherence estimation algorithm for binaural speech enhancement system is proposed. A number of noise Power Spectral Density (PSD) estimation algorithms based on the noise coherence between two microphones have been proposed to improve the speech enhancement performance. In the conventional algorithms, the noise coherence was characterized using a real-valued analytic model. However, unlike the analytic model, the noise coherence between the two microphones is time-varying in real environments. Thus, in this paper, the noise coherence is updated in accordance with the variation of the acoustic environment to track the realistic noise coherence. The noise coherence can be updated only during the absence of speech, and the simulation results demonstrate the superiority of the proposed algorithm over the conventional algorithms based on the analytic model.

Vibration Identification of Gasoline Direct Injection Engine Based on Partial Coherence Function (부분기여도 함수를 이용한 직접분사 가솔린 엔진 부품의 진동원 분석)

  • Chang, Ji-Uk;Lee, Sang-Kwon;Park, Jong-Ho;Kim, Byung-Hyun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.11
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    • pp.1371-1379
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    • 2012
  • This paper presents a method for estimating the contribution of vibration sources in gasoline direct injection engine parts with a multiple-input system. A partial coherence function was used to identify the cause of the linear dependence indicated by an ordinary coherence function. To apply the partial coherence function to vibration source identification in the powertrain system of a gasoline direct injection engine, a virtual model of a two-input and single-output system is simulated. For the validation of this model, the vibration of the powertrain parts was measured by using triaxial accelerometers attached to the selected vibration sources-a high-pressure pump, fuel rail, injector, and pressure sensor. After calculating the partial coherence between each source based on the virtual model, the vibration contribution of the powertrain system is calculated. This virtual model based on the partial coherence function is implemented to determine the quantitative vibration contribution of each powertrain part.

A Statistical Analysis of JERS L-band SAR Backscatter and Coherence Data for Forest Type Discrimination

  • Zhu Cheng;Myeong Soo-Jeong
    • Korean Journal of Remote Sensing
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    • v.22 no.1
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    • pp.25-40
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    • 2006
  • Synthetic aperture radar (SAR) from satellites provides the opportunity to regularly incorporate microwave information into forest classification. Radar backscatter can improve classification accuracy, and SAR interferometry could provide improved thematic information through the use of coherence. This research examined the potential of using multi-temporal JERS-l SAR (L band) backscatter information and interferometry in distinguishing forest classes of mountainous areas in the Northeastern U.S. for future forest mapping and monitoring. Raw image data from a pair of images were processed to produce coherence and backscatter data. To improve the geometric characteristics of both the coherence and the backscatter images, this study used the interferometric techniques. It was necessary to radiometrically correct radar backscatter to account for the effect of topography. This study developed a simplified method of radiometric correction for SAR imagery over the hilly terrain, and compared the forest-type discriminatory powers of the radar backscatter, the multi-temporal backscatter, the coherence, and the backscatter combined with the coherence. Statistical analysis showed that the method of radiometric correction has a substantial potential in separating forest types, and the coherence produced from an interferometric pair of images also showed a potential for distinguishing forest classes even though heavily forested conditions and long time separation of the images had limitations in the ability to get a high quality coherence. The method of combining the backscatter images from two different dates and the coherence in a multivariate approach in identifying forest types showed some potential. However, multi-temporal analysis of the backscatter was inconclusive because leaves were not the primary scatterers of a forest canopy at the L-band wavelengths. Further research in forest classification is suggested using diverse band width SAR imagery and fusing with other imagery source.

Vehicle Dynamic Characteristics according to the Coherence of Road Roughness between Left and Right Wheels (좌우 바퀴 노면 거칠기 상관도가 차량 운동 특성에 미치는 영향)

  • Choi, Gyoo-Jae;Jang, Bong-Choon
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.6
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    • pp.120-126
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    • 2006
  • Vehicle dynamic simulation has been carried out using the coherence of road roughness between left and right wheels. The generated twin tracks with the coherence of road roughness between left and right wheels are in good agreements with the measured coherence relation of left and right wheels. And these tracks reflect well on the roughness characteristics of real roads. Using the generated roads and multibody dynamic simulation program, vehicle dynamic simulation is performed. The vertical and roll motion analysis of a vehicle are carried out using the realistic road profiles with the coherence between left and right wheels and the results are in good agreements with the dynamic characteristics of a vehicle.

A Research on Prediction of Hand Movement by EEG Coherence at Lateral Hemisphere Area (편측적 EEG Coherence 에 의한 손동작 예측에 관한 연구)

  • Woo, Jin-Cheol;Whang, Min-Cheol;Kim, Jong-Wha;Kim, Chi-Jung;Kim, Ji-Hye;Kim, Young-Woo
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.330-334
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    • 2009
  • 본 연구는 뇌의 편측 영역 에서의 EEG(Electroencephalography) coherence 로 손동작 의도를 예측하고자 하는 연구이다. 손 동작 예측을 위한 실험에 신체에 이상이 없는 6 명의 피실험자가 참여 하였다. 실험은 데이터 트레이닝 6 분과 동작 의도 판단 6 분으로 진행되었으며 무작위 순서로 손 동작을 지시한 후 편측적 영역 5 개 지점의 EEG 와 동작 시점을 알기 위한 오른손 EMG(Electromyography)를 측정하였다. 측정된 EEG 데이터를 분석하기 위해 주파수 별 Alpha 와 Beta 를 분류하였고 EMG 신호를 기준으로 동작과 휴식으로 분류된 Alpha 와 Beta 데이터를 5 개의 측정 영역별 Coherence 분석을 하였다. 그 결과 동작과 휴식을 구분할 수 있는 통계적으로 유효한 EEG Coherence 영역을 통하여 동작 판단을 할 수 있음을 확인하였다.

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Mean Phase Coherence as a Supplementary Measure to Diagnose Alzheimer's Disease with Quantitative Electroencephalogram (qEEG)

  • Che, Hui-Je;Jung, Young-Jin;Lee, Seung-Hwan;Im, Chang-Hwan
    • Journal of Biomedical Engineering Research
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    • v.31 no.1
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    • pp.27-32
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    • 2010
  • Noninvasive detection of patients with probable Alzheimer's disease (AD) is of great importance for assisting a medical doctor's decision for early treatment of AD patients. In the present study, we have extracted quantitative electroencephalogram (qEEG) variables, which can be potentially used to diagnose AD, from resting eyes-closed continuous EEGs of 22 AD patients and 27 age-matched normal control (NC) subjects. We have extracted qEEG variables from mean phase coherence (MPC) and EEG coherence, evaluated for all possible combinations of electrode pairs. Preliminary trials to discriminate the two groups with the extracted qEEG variables demonstrated that the use of MPC as a supplementary or alternative measure for the EEG coherence may enhance the accuracy of noninvasive diagnosis of AD.

Multiple Quantum Coherence and Magic Angle in Solid NMR Spectroscopy

  • Shin, Yong-Jin;Kim, Nam-Su;Ryang, Kyung-Seung;Cho, Gyung-Goo;Jeong, Gwang-Woo
    • Journal of the Korean Magnetic Resonance Society
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    • v.3 no.2
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    • pp.127-139
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    • 1999
  • In this paper we discussed how multiple quantum coherences evolve in the presence of anisotropic distribution of dipolar couplings. The magnitude of dipolar couplings were varied by changing the tile angle of crystal axis. The stronger was dipolar coupling, the higher was frequency of multiple quantum coherence. That is, the order of multiple quantum coherence varies in proportion to the magnitude of dipolar couplings. The theoretical prediction for the multiple quantum coherence at magic angle 54.7$^{\circ}$ in solid NMR spectroscopy was verified in this study. The excitation pattern of n-quantum coherence, which can induce the effective size to characterize spin system, is expected in a larger and more complicated spin system for understanding of the relation of dipolar coupling and multiple quantum coherence.

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Coherence Studies of Photons Emitted from a Single Terrylene Molecule Using Michelson and Young’s Interferometers

  • Yoon, Seung-Jin;Trinh, Cong Tai;Lee, Kwang-Geol
    • Journal of the Optical Society of Korea
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    • v.19 no.6
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    • pp.555-559
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    • 2015
  • Coherence length (time) is a key parameter in many classical and quantum optical applications. Two interferometers – Michelson and Young’s double-slit – are used to characterize the temporal coherence of single photons emitted from single terrylene molecules. For quantitative analysis, a dispersion-related distortion in the interference pattern of a Michelson interferometer is carefully corrected by a simple dispersion compensation. Additionally, it has been demonstrated that Young’s interferometer can be used in temporal coherence studies at the single photon level with high accuracy. The pros and cons of the two systems are discussed. The measured coherence lengths in the two systems are consistent with one another under the self-interference interpretations.

The Research on Prediction of Attentive Hand Movement using EEG Coherence (EEG 코히런스에 의한 집중한 손 동작 예측에 관한 연구)

  • Woo, Jin-Cheol;Whang, Min-Cheol;Kim, Jong-Wha;Kim, Chi-Joong;Kim, Yong-Woo;Kim, Ji-Hye;Kim, Dong-Keun
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.2
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    • pp.189-196
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    • 2010
  • The study is to find relative EEG power spectrum and pattern of coherence discriminating attentive and inattentive hand movements. Eight undergraduate students aged from 20 to 27 who had not hand disability participated in this study. Participants were asked to perform visuo-motor task. EEG was measured at C3 in 10~20 international system and four areas orthogonally directed 2.5cm away from C3. Significant result discriminating movement and rest was found through coherence analysis between movement areas or movement area and non-movement area, but was individually different. Because it was anticipated that major factors caused by the differences among individuals were attributed to the attention of the subjects, relative power of alpha and beta bands was identified. As a result, significant relative powers of alpha and beta bands were found in a group of high coherence level, but were not found in a group of low level. Next, participants were divided into two groups according to relative powers of alpha and beta bands. The comparison between two groups was performed. As a result, the coherence of the alpha band in the attentive group was greater than that of the inattentive group. It was found that the coherence of the beta band in the inattentive group was happening. Therefore, individual differences of coherence were influenced by attention. The significant coherence patterns that could discriminate attentive movement and inattentive movement were found.