• The Journal of the Acoustical Society of Korea
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• v.14 no.2
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• pp.101-112
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• 1995

In order to construct a feature map-based phoneme classification system for speech recognition, two procedures are usually required. One is clustering and the other is labeling. In this paper, we present a phoneme classification system based on the Kohonen's Self-Organizing Feature Map (SOFM) for clusterer and labeler. It is known that the SOFM performs self-organizing process by which optimal local topographical mapping of the signal space and yields a reasonably high accuracy in recognition tasks. Consequently, SOFM can effectively be applied to the recognition of phonemes. Besides to improve the performance of the phoneme classification system, we propose the learning algorithm combined with the classical K-mans clustering algorithm in fine-tuning stage. In order to evaluate the performance of the proposed phoneme classification algorithm, we first use totaly 43 phonemes which construct six intra-class feature maps for six different phoneme classes. From the speaker-dependent phoneme classification tests using these six feature maps, we obtain recognition rate of $87.2\%$ and confirm that the proposed algorithm is an efficient method for improvement of recognition performance and convergence speed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.3
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• pp.600-611
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• 1996

Recently, neural network-based speech recognition has been studied to utilize the adaptivity and learnability of neural network models. However, conventional neural network models have difficulty in the co-articulation processing and the boundary detection of similar phonmes of the Korean speech. Also, in case of using one phonotopic map, learning speed may dramatically increase and inaccuracies may be caused because homogeneous learning and recognition method should be applied for heterogenous data. Hence, in this paper, a neural net typewriter has been designed using a hierarchical self-organizing classifier(HSOC), and related algorithms are presented. This HSOC, during its learing stage, distributed phoneme data on hierarchically structured multiple phonotopic maps, using Kohonen's self-organizing feature maps(SOFM). Presented and experimented in this paper were the algorithms for deciding the number of maps, map sizes, the selection of phonemes and their placement per map, an approapriate learning and preprocessing method per map. If maps are divided according to a priorlinguistic knowledge, we would have difficulty in acquiring linguistic knowledge and how to alpply it(e.g., processing extended phonemes). Contrarily, our HSOC has an advantage that multiple phonotopic maps suitable for given input data are self-organizable. The resulting three korean phonotopic maps are optimally labelled and have their own optimal preprocessing schemes, and also confirm to the conventional linguistic knowledge.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.312-321
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• 2003

In this paper, we implement robot which are ability to recognize obstacles and moving automatically to destination. we present two results in this paper; hardware implementation of image processing board and software implementation of visual feedback algorithm for a self-controlled robot. In the first part, the mobile robot depends on commands from a control board which is doing image processing part. We have studied the self controlled mobile robot system equipped with a CCD camera for a long time. This robot system consists of a image processing board implemented with DSPs, a stepping motor, a CCD camera. We will propose an algorithm in which commands are delivered for the robot to move in the planned path. The distance that the robot is supposed to move is calculated on the basis of the absolute coordinate and the coordinate of the target spot. And the image signal acquired by the CCD camera mounted on the robot is captured at every sampling time in order for the robot to automatically avoid the obstacle and finally to reach the destination. The image processing board consists of DSP (TMS320VC33), ADV611, SAA7111, ADV7l76A, CPLD(EPM7256ATC144), and SRAM memories. In the second part, the visual feedback control has two types of vision algorithms: obstacle avoidance and path planning. The first algorithm is cell, part of the image divided by blob analysis. We will do image preprocessing to improve the input image. This image preprocessing consists of filtering, edge detection, NOR converting, and threshold-ing. This major image processing includes labeling, segmentation, and pixel density calculation. In the second algorithm, after an image frame went through preprocessing (edge detection, converting, thresholding), the histogram is measured vertically (the y-axis direction). Then, the binary histogram of the image shows waveforms with only black and white variations. Here we use the fact that since obstacles appear as sectional diagrams as if they were walls, there is no variation in the histogram. The intensities of the line histogram are measured as vertically at intervals of 20 pixels. So, we can find uniform and nonuniform regions of the waveforms and define the period of uniform waveforms as an obstacle region. We can see that the algorithm is very useful for the robot to move avoiding obstacles.

• Information Systems Review
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• v.24 no.1
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• pp.157-181
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• 2022

As competition in the airline industry intensifies, effective airline service quality evaluation has become one of the main challenges. In particular, as big data analytics has been touted as a new research paradigm, new research on service quality measurement using online review analysis has been attempted. However, these studies do not use review titles for analysis, relyon supervised learning that requires a lot of human intervention in learning, and do not consider airline characteristics in classifying service quality dimensions.To overcome the limitations of existing studies, this study attempts to measure airlines service quality and to classify it into the AIRQUAL service quality dimension using online review text as well as title based on self-trainingand sentiment analysis. The results show the way of effective extracting service quality dimensions of AIRQUAL from online reviews, and find that each service quality dimension have a significant effect on service satisfaction. Furthermore, the effect of review title on service satisfaction is also found to be significant. This study sheds new light on service quality measurement in airline industry by using an advanced analytical approach to analyze effects of service quality on customer satisfaction. This study also helps managers who want to improve customer satisfaction by providing high quality service in airline industry.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.3
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• pp.129-134
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• 2015

Since automatic social engineering based spam attacks induce for users to click or receive the short message service (SMS), e-mail, site address and make a relationship with an unknown friend, it is very easy for them to active in online social networks. The previous spam detection schemes only apply manual filtering of the system managers or labeling classifications regardless of the features of social networks. In this paper, we propose the spam detection metric after reflecting on a couple of features of social networks followed by analysis of real social network data set, Twitter spam. In addition, we provide the online social networks based unsupervised scheme for automated social engineering spam with self organizing map (SOM). Through the performance evaluation, we show the detection accuracy up to 90% and the possibility of real time training for the spam detection without the manager.

• The Korean Journal of Community Living Science
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• v.19 no.4
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• pp.559-568
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• 2008

Even though snacks or meals purchased by teenagers have dramatically increased in Korea, it has not been investigated whether teenagers know and take notice of the nutrition label. Therefore, in this study, we investigated the usefulness and utilization of food and nutrition labels amongst teenagers. Questionnaires were distributed 814 of junior-high school students and were completed by self-administrated questionnaires. Questionnaires included questions regarding general characteristics, perception and utilization of food and nutrition labels and degree of necessity and satisfaction on food products and nutrition labels. Data was analyzed with regards to sex and school year by using a SAS package program. Significant differences of each variable were tested by using the $x^2$-test, t-test and ANOVA. Only 4.4% of participants were well informed about food and nutrition labels, while 26.0% of them did not know about it. Most of participants(78%) perceived that food and nutrition labeling system is necessary but are not satisfied with it. More of them did not check the food and nutrition label when they purchased food. Students usually checked the food and nutrition label to know about the nutritional value, and additives. The survey showed that more than three quarters of participants take notice of the food and nutrition label on products whereas only 57.7% of them knew what the food and nutrition actually meant. This study showed that most teenagers did not know the food and nutrition label, didn't have right information and didn't use it. Therefore, it is necessary to include an educational program about the food and nutrition label in the school curriculum and that will help students use the nutrition label and help them choose healthy food.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.157-163
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• 2013

In this paper, we propose a human detection technique using thermal imaging camera. The proposed method is useful at night or rainy weather where a visible light imaging cameras is not able to detect human activities. Under the observation that a human is usually brighter than the background in the thermal images, we estimate the preliminary human regions using the statistical confidence measures in the gray-level, brightness histogram. Afterwards, we applied Gaussian filtering and blob labeling techniques to remove the unwanted noise, and gather the scattered of the pixel distributions and the center of gravities of the blobs. In the final step, we exploit the aspect ratio and the area on the unified object region as well as a number of the principal components extracted from the object region images to determine if the detected object is a human. The experimental results show that the proposed method is effective in environments where visible light cameras are not applicable.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.275-285
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• 2010

This research examines the relation of dissatisfaction about own real conditions, deviant labeling, self-esteem, abuse from parent, victimization and juvenile delinquency(smoking, drinking, run-away, assault, taking away stuffs or money, larceny). The evidence of a strong relation of these factors and girls' delinquency is well known through empirical researches by feminist criminologists. Feminist criminology had attention to the gender-specific factors that could explain girls' delinquency. Most of conventional delinquency theories, such as social bond theory, differential association theory, focused on bad boys' deviant behaviors. These theories has not been designed to apply to girls' troubles. According to the conclusion of the research, there seems to support researches of feministic perspectives.

• Journal of Nutrition and Health
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• v.41 no.4
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• pp.365-373
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• 2008

This study examined the needs and practice willingness for the health promotion program of restaurant industry among Seoul residents. Using structured self-administered questionnaires, data on subjects' general characteristics, health status, and eating out behavior characteristics, the needs and practice willingness of the health promotion program for restaurant industry were collected from 765 adults above the age of 19. The needs for nutrition labeling such as fat, calorie, sodium, fiber, and the practice willingness for consuming nutrition labeled food were high. Results showed that gender, restaurant's management status, and food quality status were significant indicators for needs for health promotion program. Education duration, food quality status, and the frequency of eating out were significant variables for practice willingness. The results imply that health promotion program for the restaurant industry should be based on the consumer's characteristics. Also, the results imply the necessity of several activities such as social marketing to inform the benefit of participation in the health promotion program for consumers, guidance to maintain the food quality and improve the ambiance of restaurant for suppliers, and the new establishment of research centers to validate the labeled information on meals and analyze the nutrients of the meals for agencies.

• The Korean Journal of Food And Nutrition
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• v.35 no.2
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• pp.75-87
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• 2022

The purpose of this study was to identify nutrition quotient for elderly (NQ-E) and to investigate factors affecting NQ-E of the elderly using welfare center and senior citizen's center in Changwon city. A self-administered questionnaire was conducted between June 2021 and early August 2021 for 320 elderly (≥65 years, male, n=52, female, n=268). As a result of the survey, the mean NQ-E score was 61.12, which was within the medium-high grade. The scores of balance, moderation, and dietary behavior factors were within the medium-high grade, while diversity factor was within the medium-low grade. According to the results of the Pearson's correlation coefficient analysis, NQ-E showed positive correlations with the 'with family' (p<0.01), 'education level' (p<0.01), 'health functional foods consumption' (p<0.01), 'monthly household income' (p<0.05), 'nutrition education experience' (p<0.05), 'reading nutrition labeling of health functional foods' (p<0.01), 'perception of the efficacy of health functional foods' (p<0.01), and 'the number of times of leisure activities per week' (p<0.01) and negative correlations with the 'gender' (p<0.05), 'age' (p<0.01), 'smoking' (p<0.05), and 'social frailty' (p<0.01). As a result of multiple regression analysis, 'gender' (p<0.05), 'perception of the efficacy of health functional foods' (p<0.05), 'the number of times of leisure activities per week' (p<0.05), and 'social frailty' (p<0.05) were found to be factors affecting NQ-E. Based on the results of this study, customized services by characteristic, nutrition education, and counseling for the elderly should be implemented and the development of various programs and continuous support of the community are necessary so that the elderly can carry out social exchange.