• 대한가정학회지
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• 제36권8호
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• pp.63-76
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• 1998

The purposes of this research were to find out general trends of the efficiency of the interspouse communication and the level of stress recognition, to estimate the differences of the efficiency of communication and the level of stress recognition according to socio-demographic, communication variables, and to analyze correlations between stress recognition and communication efficiency. The subjects of this study were 220 couples in Kwang-ju. The major results were as follow; 1) The level of wives' stress recognition was higher than husbands' and the level of interspouse communication efficiency was median. 2) Communication efficiency showed significant differences according to number of children, the duration of marriage in wives. The level of stress recognition showed significant differences according to the hours they spend in daily communication, the typeds of communication, the satisfaction of communication in both groups of husbands and wives. 3) Marital communication efficiency was negatively correlated with the level of stress recognition in couples.

• 한국조리학회지
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• 제15권3호
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• pp.324-343
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• 2009

본 연구는 외식산업의 위험 커뮤니케이션에 대한 소비자들의 심리적 반응과 태도에 미치는 영향을 규명하는데 목적을 두고 검증하였는데, 그 결과는 다음과 같다. 첫째, 위험 커뮤니케이션과 정보 신뢰간 관계에서는 위험 커뮤니케이션의 안전성에 대한 지각이 높아지면 정보 신뢰는 높아지는 것으로 나타났고, 위험성에 대한 지각이 높아지면 정보 신뢰는 윤리성에 대한 지각이 높아지며 정보 신뢰는 높아지는 것으로 나타났다. 둘째, 위험 커뮤니케이션과 위험 지각간 관계에서는 위험 커뮤니케이션의 안전성에 대한 지각이 높아지면 위험 지각은 높아지는 것으로 나타났고, 위험성에 대한 지각이 높아지면 위험 지각은 환경성에 대한 지각이 높아지면 위험 지각은 윤리성에 대한 지각이 높아지면 위험 지각은 0.234 높아지는 것으로 나타났다. 셋째, 위험 커뮤니케이션에 대한 정보 신뢰와 위험 지각간 관계에서는 위험 커뮤니케이션에 대한 정보 신뢰가 높아지면 위험 지각은 높아지는 것으로 나타났다. 넷째, 정보 신뢰와 소비자 태도간 관계에서는 만족도에 있어 정보 신뢰가 높아지면 만족도는 0.681 낮아지는 것으로 나타났고, 구전 의도에 있어 정보 신뢰가 높아지면 구전 의도는 낮아지는 것으로 나타났다.

• 대한가정학회지
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• 제36권1호
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• pp.99-116
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• 1998

The purposes of this study were to find the influence of wife's home management behavior pattern and husband's perception about it on family life satisfaction, and to find out variables which influence them. For theses reviewing literature and empirical research were conducted. The major results were as follows; 1) The couple's psychological variables (ie, degree of life level recognition, of resourcefulness recognition and of communication) were relatively high. The wife's home management behavior pattern was relatively morphogenesis and the husband's perception about wive's it was relatively morphogenesis. And the couple's degree of family life satisfaction were relatively high. 2) Influential variables on wife's home management behavior pattern were level of education, degree of resourcefulness recognition and of communication. And influential variables on husband's perception about vive's it was degree of communication. 3) Influential variables on wive's the degree of family life satisfaction were degree of life level recognition, of resourcefulness recognition and of communication. And influential variables on husband's it were level of education, job, degree of life level recognition, of resourcefulness recognition and of communication. 4) The wife's home management behavior pattern and husband's perception about wive's it were to predict the couple's degree of family life satisfaction. 5) In cause-effect pathway mode. level of education·job·degree of life level recognition·of resourcefulness recognition and of communication showed direct and indirect effect on family life satisfaction through wife's home management behavior pattern or husband's perception about wive's it.

• 가정과삶의질연구
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• 제14권1호
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• pp.21-34
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• 1996

The purposes of this study are to investigate the degrees of husband's and wife's recognition and the difference between those degrees about the husbands' authoritarian communication to develop the typology of recongnition of husband and wife and also to find group differences caused by the personal variables spousal variables family-environmental variables. The subjects of this research were 328 married couples living in Seoul. The major findings of this study can be summarized as follows: 1) The degrees of husband's and wife's recognition about the husbands' authoritarian communication were not high and there was no significant difference between husband's and wife's recognition. 2) The recognition of husband and wife about the husband's authoritarian communication is classified into 5 types; type of high agreement of both husband and wife(34 married couples) type of middle agreement of both husband and wife(167 married couples) type of low agreement of both husband and wife 26 married couples) type of disagreement with husband's high recognition(51 married couples) type of disagreement with husband's high recognition(51 married couples) are type of disagreement with wife's high recognition(50 married couples) 3) The variables which have significance on the types of recognition of husband and wife about the husband's authoritarian communication were husband's educational level husband's birth order husband's self-esteem husband's alienation husband's sex-role attitudes wife's self-esteem wife's alienation the rights of decision-making between couples household income subjective social class authoritarian behavior of father of husband.

• 한국멀티미디어학회논문지
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• 제11권12호
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• pp.1676-1687
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• 2008

In this paper, we proposed a new multi-view human recognition method based on face and gait features detection algorithm. For getting the position of moving object, we used the different of two consecutive frames. And then, base on the extracted object, the first important characteristic, walking direction, will be determined by using the contour of head and shoulder region. If this individual appears in camera with frontal direction, we will use the face features for recognition. The face detection technique is based on the combination of skin color and Haar-like feature whereas eigen-images and PCA are used in the recognition stage. In the other case, if the walking direction is frontal view, gait features will be used. To evaluate the effect of this proposed and compare with another method, we also present some simulation results which are performed in indoor and outdoor environment. Experimental result shows that the proposed algorithm has better recognition efficiency than the conventional sing]e view recognition method.

• International Journal of Contents
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• 제3권2호
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• pp.1-5
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• 2007

This paper proposes a technique for principal component analysis (PCA) to raise the recognition rate of a front face in a low dimension by hierarchical image and parallel processing structure. The conventional PCA shows a recognition rate of less than 50% in a low dimension (dimensions 1 to 6) when used for facial recognition. In this paper, a face is formed as images of 3 fixed-size levels: the 1st being a region around the nose, the 2nd level a region including the eyes, nose, and mouth, and the 3rd level image is the whole face. PCA of the 3-level images is treated by parallel processing structure, and finally their similarities are combined for high recognition rate in a low dimension. The proposed method under went experimental feasibility study with ORL face database for evaluation of the face recognition function. The experimental demonstration has been done by PCA and the proposed method according to each level. The proposed method showed high recognition of over 50% from dimensions 1 to 6.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권6호
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• pp.1743-1758
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• 2023

Automatic modulation classification is a critical algorithm for non-cooperative communication systems. This paper addresses the challenging problem of closed-set and open-set signal modulation classification in complex channels. We propose a novel approach that incorporates a self-learning filter and center-loss in Deep Residual Shrinking Networks (DRSN) for closed-set modulation classification, and the Opendistance method for open-set modulation classification. Our approach achieves better performance than existing methods in both closed-set and open-set recognition. In closed-set recognition, the self-learning filter and center-loss combination improves recognition performance, with a maximum accuracy of over 92.18%. In open-set recognition, the use of a self-learning filter and center-loss provide an effective feature vector for open-set recognition, and the Opendistance method outperforms SoftMax and OpenMax in F1 scores and mean average accuracy under high openness. Overall, our proposed approach demonstrates promising results for automatic modulation classification, providing better performance in non-cooperative communication systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.4934-4949
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• 2015

The unstable characteristic values of communication signals along with the varying SNR (Signal Noise Ratio) environment make it difficult to identify the modulations of signals. Most of relevant literature revolves around signal recognition under stable SNR, and not applicable for signal recognition at varying SNR. To solve the problem, this research developed a novel communication signal recognition algorithm based on Holder coefficient and cloud theory. In this algorithm, the two-dimensional (2D) Holder coefficient characteristics of communication signals were firstly calculated, and then according to the distribution characteristics of Holder coefficient under varying SNR environment, the digital characteristics of cloud model such as expectation, entropy, and hyper entropy are calculated to constitute the three-dimensional (3D) digital cloud characteristics of Holder coefficient value, which aims to improve the recognition rate of the communication signals. Compared with traditional algorithms, the developed algorithm can describe the signals' features more accurately under varying SNR environment. The results from the numerical simulation show that the developed 3D feature extraction algorithm based on Holder coefficient cloud features performs better anti-noise ability, and the classifier based on interval gray relation theory can achieve a recognition rate up to 84.0%, even when the SNR varies from -17dB to -12dB.

• 가정과삶의질연구
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• 제17권4호
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• pp.1-14
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• 1999

The purpose of this study was to probe the role recognition and role performance of husbands if family and to find out the variables which influence role recognition and role performance. the sample were selected from 503 husbands with children more than one living in Seoul The major findings were : 1) husbands` role recognition was relatively higher than role performance 2) Influential variables on the husbands` role recognition were the degree of home-orientedness communication-satisfaction and stage of life cycle. 3) Husbands` role performance was affected by communication-satisfaction degree of social support job satisfactions sex-role attitudes flexibility of job and jusbands` role recognition.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권12호
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• pp.6063-6079
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• 2019

When the length of sampling data sequence is too large, the method of gesture recognition based on traditional Dynamic Time Warping (DTW) algorithm will lead to too long calculation time, and the accuracy of recognition result is not high.Support vector machine (SVM) has some shortcomings in precision, Edit Distance on Real Sequences(EDR) algorithm does not guarantee that noise suppression will not suppress effective data.A new method based on Improved Interpolation Dynamic Time Warping (IIDTW)algorithm is proposed to improve the efficiency of gesture recognition and the accuracy of gesture recognition. The results show that the computational efficiency of IIDTW algorithm is more than twice that of SVM-DTW algorithm, the error acceptance rate is FAR reduced by 0.01%, and the error rejection rate FRR is reduced by 0.5%.Gesture recognition based on IIDTW algorithm can achieve better recognition status. If it is applied to unlock mobile phone, it is expected to become a new generation of unlock mode.