• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.4
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• pp.30-39
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• 2010

Since Diffusion tensor from Diffusion Tensor Magnetic Resonance Imaging(DT-MRI) is so sensitive to noise, the principle eigenvector(PEV) calculated from Diffusion tensor could be erroneous. Tractography obtained from PEV could be deviated from the real fiber tract. Therefore regularization process is needed to eliminate noise. In this paper, to reduce noise in DT-MRI measurements, the Dyadic Sorting(DS) method as regularization of the eigenvalue and the eigenvector is applied in the tractography. To resort the eigenvalues and the eignevectors, the DS method uses the intervoxel overlap function which can measure the overlap between eigenvalue-eigenvector pairs in the $3\times3$ pixel. In this paper, we applied the DS method to the three-dimensional volume. We discuss the error analysis and numerical study to the synthetic and the experimental data. As a result, we have shown that the DS method is more efficient than the median filtering methods as much as 79.97%~83.64%, 85.62%~87.76% in AAE, AFA respectively for the corticospinal tract of the experimental data.

• Women's Health Nursing
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• v.26 no.4
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• pp.318-325
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• 2020

Purpose: The purpose of this study was to identify the influence of self-differentiation, psychological discomfort, and marital dyadic adjustment on maternal-fetal attachment in primigravida. Methods: In total, 108 primigravida participated in this descriptive correlational study. The participants answered self-report questionnaires. Data were collected from January to May, 2020, and were analyzed using descriptive statistics, the t-test, analysis of variance, Pearson correlation coefficients, and hierarchical multiple regression with SPSS for Windows ver. 23.0. Results: The mean age of the primigravida was 31.66 years. The mean score for the degree of maternal-fetal attachment was 76.81 out of 96 points. Participants' scores for maternal-fetal attachment differed significantly based on age (t=2.08 p=.039) and marital status (t=2.05, p=.043). Maternal-fetal attachment was significantly negatively correlated with psychological discomfort (r=-.39, p<.001), and significantly positively correlated with self-differentiation (r=.36, p<.001) and marital dyadic adjustment (r=.36, p<.001). Self-differentiation explained 24.1% of variance in participants' maternal-fetal attachment, and its effect was statistically significant (F=7.79, p<.001). Conclusion: In primigravida, more self-differentiation was associated with stronger maternal-fetal attachment. To strengthen maternal-fetal attachment in primigravidae, educational program that increases the level of self-differentiation and minimizes psychological discomfort may be helpful for first time pregnant women. Additionally, it is recommended to provide nursing interventions to encourage couples to work together throughout the gestational period.

• Journal of Families and Better Life
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• v.14 no.1
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• pp.11-20
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• 1996

When data collected from more than one family member are utilized family researchers must take the correlation of family member's perception behavior or attitude scores into account viewing the couple or family as a unit of interdependent members. This paper presents a framework for categorizing family data based on the unit of analysis and several alternatives for the statistical analysis of family variables using individual- dyadic- and family-level data.

• Korean Journal of Social Welfare
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• v.49
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• pp.7-33
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• 2002

This study analyse interorganizational networks of the self-supporting service organizations using data on the 31 organizations in Chanju area. Interorganizational networks are operationalized in two ways: conference network and referral network. First, this study attempt to examine the characteristics of interorganizational networks of the self-supporting service organizations. Using block model, I can capture some of the structural features of interorganizational networks. Major findings of block modeling are as follows: (1) Public organizations are more inactive to make a connect with other organizations. (2) Most of organizations incline to make a connect with same kind organizations. Namely, employment service organizations incline to flock together, and social welfare organizations are also much the same. Second, this study attempt to examine the determinants of interorganizational networks of the self-supporting service organizations. Relations between pairs of organizations are modeled as a function of dyadic level covariates in accordance with resource dependence, transaction cost, and organizational domain theory. Measure of informal ties between organizations are also included as covariates. Applying logit and tobit regression methods, this study reveals that most variables have effects on the dyadic relations of organizations. Through this empirical analysis, I can suggest policy implications for the self-supporting programs in Korea.

• Journal of the Korean Geographical Society
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• v.49 no.1
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• pp.57-76
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• 2014

Conventional treatments of war diffusion focus extensively on dyadic relationships, whose impact is thought to be immutable over the course of the conf lict. This study indicates that such conceptions are at best incomplete, and more likely misleading to explain the spatial diffusion of wars. Using social network analysis, we examine war joining behavior during World War I. By employing social network analysis, we attempted to overcome the dichotomous understanding of geography as space and network in the discipline of conflict studies. Empirically, networked structural elements of state relationships (e.g., rivalry, alliances) have explanatory and predictive value that must be included alongside dyadic considerations in analyzing war joining behavior. In addition, our analysis demonstrates that the diffusion of conflict involves different driving forces over time.

• Wind and Structures
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• v.3 no.3
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• pp.159-175
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• 2000

Many practical time series, including pressure signals measured on roof-corners of low-rise buildings in quartering winds, consist of relatively quiescent periods interrupted by intermittent transients. The dyadic wavelet transform is used to detect these transients in pressure time series and a relatively simple pattern classification scheme is used to detect underlying structure in these transients. Statistical analysis of the resulting pattern classes yields a library of signal "building blocks", which are useful for detailed characterization of transients inherent to the signals being analyzed.

• Asia Marketing Journal
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• v.8 no.1
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• pp.49-76
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• 2006

This study investigates the effect of market orientation of knowledge-based service suppliers on the sourcing process of service recipients. Focusing on a dyadic relationship between a supplier and a buyer, this study proposed a conceptual model of market orientation incorporating the antecedents and consequences of market orientation. This study empirically tested research hypotheses delineated from the conceptual framework. The present study revealed that the impact on the buyer's performance of the supplier's customer and competitor orientation turned out to be more influential than that of inter-departmental cooperation. Also these two dimensions of customer and competitor orientation played a positive role in reducing buyer's perceived risk and uncertainty related to the evaluation of services out-sourced. Interestingly enough, the supplier's perceived importance on the distance between the buyer and supplier remains important especially when the degree of buyer's market orientation is high. This finding is somewhat contrary to the fact that the geographic location of the buyer becomes less important for the internet-based B2B service providers. Based on the findings, this study suggested managerial implications and broadened the scope of academic research in the field of business services. Future research directions and the limitations of this study are also discussed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.1B
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• pp.89-98
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• 2000

This paper presents an active noise cancelling model using wavelet transform and subband filter banks based on adaptive filter. The analysis filter banks decompose input and error signals into QMF filter banks of lowpass and highpass bands. Each filter bank uses wavelet filter with dyadic tree structure. The decomposed input and error signals are iterated by adaptive filter coefficients of each subband using filtered-X LMS algorithm. The synthesis filter banks make output signal of wideband with perfect reconstruction to prepare adaptive filter output signals of each subband. The analysis and synthesis niter hants use conjugate quadrature filters for Pefect reconstruction. Also, The delayed LMS algorithm model for on-line identification of error path transfer characteristics is used gain and acoustic time delay factors. The proposed adaptive active noise cancelling modelis suggested by system retaining the computational and convergence speed advantage using wavelet subband filter banks.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.2
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• pp.29-39
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• 2018

In this paper, we discuss a discrete-time queueing system with dyadic server control policy that combines workload control and multiple vacations. Customers arrive at the system with Bernoulli arrival process. If there is no customer to serve in the system, an idle single server spends a vacation of discrete random variable V and returns. The server repeats the vacation until the total service time of waiting customers exceeds the predetermined workload threshold D. In this paper, we derived the steady-state workload distribution of a discrete-time queueing system which is operating under a more realistic and flexible server control policy. Mean workload is also derived as a performance measure. The results are basis for the analysis of system performance measures such as queue lengths, waiting time, and sojourn time.

• Korean Journal of Social Welfare
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• v.67 no.2
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• pp.203-236
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• 2015

Given the interdependence of a marital couple, this study examined the effects of both cultural challenge and economic hardship on intention to divorce among the multicultural couple using the actor-partner interdependence model(APIM), and explored dyadic patterns of actor and partner effects. 415 couples(n=830) participated in this self-administered questionnaire study. Results of path analyses based on APIMs revealed that for Korean husbands perceived cultural challenge contributed positively to divorce intention of the couple showing both actor and partner effects, whereas for immigrant wives such perception showed only an actor effect. In contrast, perceived economic hardship among the husbands had little effect on divorce intention of both husbands and wives, whereas such perception by wives had both actor and partner effects on divorce intention. Results of dyadic pattern analyses performed by Bootstrap indicated the actor-only pattern and the couple pattern of perceived cultural challenge on divorce intention of husbands and wives respectively. In case of perceived economic hardship comparison of the effect size suggested the partner-only pattern and the actor-only pattern for divorce intention of husbands and wives respectively. These findings implied that in order to promote conjugal harmony and to prevent the multicultural family from being dissolved, Korean husbands need to develop greater cultural competence so as to tolerate cultural differences between the couple, whereas immigrant wives and their families need to develop greater economic competence so as to foster a hope for economic reliance.