• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.996-1001
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• 1991

We consider the object recognition of industrial tools which have one degree of freedom. In the case of pliers, the shape varies as the jaw angle varies. Thus, a feature vector made from the boundary image also varies along with the jaw angle. But a pattern recognizer should have the ability of classifying objects without any regards to the angle variation. For a pattern recognizer we have utilized a backpropagation neural net. Feature vectors were made from Fourier descriptors of boundary images by truncating the high frequency components, and they were used as inputs to the neural net for training and recognition. In our experiments, backpropagation neural net outperforms the minimum distance rule which is widely used in the pattern recognition. The performance comparison also made under noisy environments.

• Journal of Society of Preventive Korean Medicine
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• v.7 no.1
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• pp.87-102
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• 2003

This study was conducted to examine recognition of oriental medical doctors on the quality control of herbal medicine and to provide useful information for the establishment of effective quality control system of herbal medicine. Data were collected from 202 oriental medical doctors working in oriental medical hospitals or clinics in Daegu-Gyungbuk province. Generally, there is a tendency that most respondents have low degree of recognition, trust and satisfaction of the quality control of herbal medicine while they think standardization and complete quality control systems of herbal medicine is needed highly. Thus, in order to increase confidence of consumers in herbal medicine, and to increase the utilization of oriental medical services, both strengthening of quality control systems and standardization and establishment of Oriental KFDA as a new government agency responsible for the work should be required.

• Health Policy and Management
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• v.8 no.2
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• pp.149-165
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• 1998

The purpose of this study is to examine the effect of the health status on the quality of life of the rural elderly, and to examine the conditional effect of socialsupport for that influence. 'Quality of life' used in this study was defined by unidimensional approach. The data were collected by conducting individual interviews with 296 rural elderly people aged 60 and the above who were living in one township of Kangwondo, between the time period of October and November 1995. The main findings are as follows: 1. Hierarchical regression analyses were carried out to examine the relative contribution of three set of variables on the quality of life. The first step, which included sociodemographic factors showed that the coefficient of determination (R$^{2}$) was 8% and income was a statisically significant variable. The second step, by adding health related factors, revealed that the R$^{2}$ was increased to 34% by 26% point and the degree of health recognition was the statistically significant variable. The third step, by projecting additionall social support related variables revealed that the R$^{2}$ was 42% 2. The conditional effect of social support was analyzed to examine the influence the health status has on the quality of life. The results are as follows: 1) The IADL and the degree of social contact interacted, resulting in that the higher degree of social contact boosted the stronger effect of IADL. 2) The effect of subjective health recognition on the quality of life is depended upon degree of family ontact. 3) The effect of eyesight on the quality of life is depended upon degree of satisfaction in social relation. The lower the degree of social support was, the bigger the influence of health related variables affecting quality of life became. This study explains that health status is a major factor in predicting the quality of life of the aged. Particularly the subjective health recognition was an important factor as the perception of quality of life.

• Phonetics and Speech Sciences
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• v.2 no.4
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• pp.145-151
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• 2010

In this paper, a robust feature compensation method is proposed for improving the performance of speech recognition. The proposed method is incorporated into the auto-regressive moving average (ARMA) based feature compensation. We employ variable weights for the ARMA filter according to the degree of speech activity, and pass the normalized cepstral sequence through the weighted ARMA filter. Additionally when normalizing the cepstral sequences in training, the cepstral means and variances are estimated from total training utterances. Experimental results show the proposed method significantly improves the speech recognition performance in the noisy and reverberant environments.

• Hwankyungkyoyuk
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• v.22 no.1
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• pp.97-109
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• 2009

The purpose of this study is to grasp the degree of recognition of the ESD(Education for Sustainable Development) form Technology Home Economic teachers in high schools, to analyze contents related to the ESD within the textbooks, and to propose the improvement method of the textbooks. As a result, first, the degree of recognition on the ESD was less than about 30.1% in Technology Home Economic teachers. Second, the content and factor criterions for the ESD were developed on the basis of the previous studies. They are suitable for applying to the Vehicle Chapter in the textbooks and are including 9 contents and 7 factors, respectively. Third, the contents related to the ESD within a Technology. Home Economic textbook showed 36.1% in Technology, 33.8% in Home Economics including social and cultural(44.7%), environmental(47.1%), and economic contents(8.2%). But they in the Vehicle Chapter within the textbooks presented 69.1%, 4.8%, 26.1% in social and cultural, environmental, and economic contents, respectively. Finally, the improvement method of the new textbook for the Vehicle Chapter is to adopt issued factors including the suitable adjustment on the vehicle structure and safety as well as the supplement of environmental contents related to the ESD. In addition, it is necessary to contain the contents such as the developing process of environment-friendly vehicles, the economically sustainable consumption strategy, and the cause-and-effect relationship with the global warming in the new textbook.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.9-12
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• 2001

Point pattern matching schemes for finger print recognition do not guarantee robust matching performance for finger print images of poor quality. We present a finger print recognition scheme, where transformation parameter of matched ridge pairs are estimated by Hough transform and the matching hypothesis is verified by a new measure of the matching degree using selective directional information. Proposed method may exhibit extremely low FAR(False Accept Ratio) while maintaining low reject ratio even for the images of poor quality because of the robustness to the variation of minutia points.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.37 no.1 s.109
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• pp.73-81
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• 2005

Stockigt sizing test, which is readily affected by individual tester's bias as well as testing conditions in recognizing red coloration, had to be modified to improve its reliability and reproducibility. The novel testing system with the automatic recognizing program of red coloration was developed with the auxiliary equipments including an automatic liquid dispenser and a specimen shifter. The analysis program used a hue value of a droplet image in recognizing a point of time on red coloration instead of RGB values that are not similar to human perception of color. Hue was more sensitive in recognizing the red coloration of a droplet than the other two factors, Saturation and Value. During the test, the program records the time consumed up to a specific hue value of a droplet on a specimen. Differently from the conventional test, the automatic test could obtain a reliable and reproducible sizing degree with a minor error. Furthermore, the Stockigt sizing degree measured by the automatic system showed great correlations with contact angle and Hercules sizing degree. It means that such great correlations will contribute to the development of an integrated measuring system capable of predicting contact angle, surface tension, surface energy and Hercules sizing degree of paper and paperboards through the Stbckigt sizing test. It was meaningful to note that the automatic system for Stbckigt sizing test might be able to used to predict contact angle, Hercules and Cobb sizing degree, based upon the high correlation coefficients.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.1
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• pp.329-343
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• 2014

This research investigated the effects of university library users' use patterns and their recognition of service benefits on the magnitude of service value assessments derived from users' statements using contingent valuation method (CVM). Library users' use patterns were operationalized by the number of library visits, library website visit counts and the degree of dependence on their own libraries. User benefits variables were measured by the level of satisfaction on the benefits of library use for teaching & instruction, research & writings, and employment & external activities. University library services were divided into circulation, journal articles (domestic & foreign), reference service, user education, reading room service and WTPs for each service were measured. The results from hypotheses testing show that the number of library visits affect WTP amounts for circulation, foreign article use, reference service and user education. The degree of library dependence seems to affect WTP amounts for circulation and user education. With regards to the hypotheses related to the recognition of library service benefits, the degree of satisfaction for teaching & instruction benefits seems to affect WTP amounts for reading room use.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3761-3779
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• 2022

The performance of existing recognition algorithms for binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) signals degrade under conditions of low signal-to-noise ratios (SNR). Hence, a novel recognition algorithm based on features in the graph domain is proposed in this study. First, the power spectrum of the squared candidate signal is truncated by a rectangular window. Thereafter, the graph representation of the truncated spectrum is obtained via normalization, quantization, and edge construction. Based on the analysis of the connectivity difference of the graphs under different hypotheses, the sum of degree (SD) of the graphs is utilized as a discriminate feature to classify BPSK and QPSK signals. Moreover, we prove that the SD is a Schur-concave function with respect to the probability vector of the vertices (PVV). Extensive simulations confirm the effectiveness of the proposed algorithm, and its superiority to the listed model-driven-based (MDB) algorithms in terms of recognition performance under low SNRs and computational complexity. As it is confirmed that the proposed method reduces the computational complexity of existing graph-based algorithms, it can be applied in modulation recognition of radar or communication signals in real-time processing, and does not require any prior knowledge about the training sets, channel coefficients, or noise power.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.2
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• pp.106-110
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• 2014

This paper proposed the face recognition method which can be effectively applied to the robot's vision system. The proposed algorithm is recognition using hue extraction and feature point. hue extraction was using difference of skin color, pupil color, lips color. Features information were extraction from eye, nose and mouth using feature parameters of the difference between the feature point, distance ratio, angle, area. Feature parameters fuzzified data with the data generated by membership function, then evaluate the degree of similarity was the face recognition. The result of experiment are conducted with frontal color images of face as input images the received recognition rate of 96%.