• The Journal of the Acoustical Society of Korea
• /
• v.38 no.5
• /
• pp.607-613
• /
• 2019

This paper proposes LF-MMI (Lattice Free Maximum Mutual Information)-based acoustic modeling using external knowledge for speech recognition. Note that an external knowledge refers to text data other than training data used in acoustic model. LF-MMI, objective function for optimization of training DNN (Deep Neural Network), has high performances in discriminative training. In LF-MMI, a phoneme probability as prior probability is used for predicting posterior probability of the DNN-based acoustic model. We propose using external knowledges for training the prior probability model to improve acoustic model based on DNN. It is measured to relative improvement 14 % as compared with the conventional LF-MMI-based model.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.19 no.2
• /
• pp.191-196
• /
• 2009

In this paper, we proposed a feature selection method using Binary Particle Swarm Optimization(BPSO) and Mutual information. This proposed method consists of the feature selection part for selecting candidate feature subset by mutual information and the optimal feature selection part for choosing optimal feature subset by BPSO in the candidate feature subsets. In the candidate feature selection part, we computed the mutual information of all features, respectively and selected a candidate feature subset by the ranking of mutual information. In the optimal feature selection part, optimal feature subset can be found by BPSO in the candidate feature subset. In the BPSO process, we used multi-object function to optimize both accuracy of classifier and selected feature subset size. DNA expression dataset are used for estimating the performance of the proposed method. Experimental results show that this method can achieve better performance for pattern recognition problems than conventional ones.

• Journal of Korean society of Dental Hygiene
• /
• v.20 no.1
• /
• pp.107-116
• /
• 2020

Objectives: This study applied the co-orientation model to investigate the degree to which dental hygienists and dentists recognize the efficiency of dental hygienists' non-surgical periodontal therapy work; the basic data can be provided as a systematic arrangement that can be applied and extended to dental clinics to raise mutual understanding. Methods: Independent sample t-tests, one-way ANOVA, and paired t-tests were conducted with a total of 888 subjects (530 dental hygienists and 358 dentists) using SPSS Statistics 22.0. Results: The analysis showed that, dental hygienists had higher recognition of the efficiency of their work (p<0.001) than dentists, with respect to all items(p>0.05). With respect to subjective agreement, dental hygienists estimated lower recognition among dentists than other dental hygienists and dentists estimated higher recognition among dentists than dental hygienists. With respect to accuracy, dentists' estimation was lower than the actual recognition among dental hygienists and dental hygienists' estimation was higher than the actual recognition among dentists in all cases except the efficiency of dental hygienists' patient education work and constant learning. Conclusions: There was wide gap between dental hygienists and dentists in recognition of the efficiency of dental hygienists' non-surgical periodontal therapy work. Actions must be taken to raise mutual understanding between dental hygienists and dentists regarding dental hygienists' non-surgical periodontal therapy work, to spread this recognition throughout the dental industry, and to implement systematic support at dental clinics.

• Journal of KIISE:Computing Practices and Letters
• /
• v.14 no.3
• /
• pp.326-330
• /
• 2008

The study on combining multiple classifiers in the field of pattern recognition has mainly focused on how to combine multiple classifiers, but it has gradually turned to the study on how to select multiple classifiers from a classifier pool recently. Actually, the performance of multiple classifier system depends on the selected classifiers as well as the combination method of classifiers. Therefore, it is necessary to select a classifier set showing good performance, and an approach based on information theory has been tried to select the classifier set. In this paper, a classifier set candidate is made by the selection of classifiers, on the basis of mutual information between classifiers, and the classifier set candidate is compared with the other classifier sets chosen by the different selection methods in experiments.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.33 no.2
• /
• pp.48-54
• /
• 2022

Objectives: Among adolescent development tasks, being independent of parents is an essential process for emotional and physical separation. There are many conflicts of separation and individuation between parents and adolescents; however, most clinicians explore the process of separation and individuation only from adolescents' perspective. Whether simultaneously or sequentially, separation-individuation occurs between adolescents and parents, respectively. The authors have already introduced the theory of synchronized individuation in a clinical case to explain the concept of this intersubjective phenomena. This study also attempts to prove the synchronized individuation theory through the interaction of characters in a movie and a fairy tale. Methods: The authors present the basis for the theory of synchronized individuation of adolescence through the growing process of Mason Junior, the main character of the movie "Boyhood," and from the process of the separation of a hen, Sprout, and an orphaned duckling in "The hen who dreamed she could fly." Results: Synchronized individuation was developed and observed from Mason, the son's perspective in "Boyhood," and Sprout, the mother's subjective perspective in the story of the hen. Conclusion: Increasing conflict and mutual impact in the relationship between adolescents and parents, ambivalent feelings for separation, selective identification of each other, mutual respect through mutual recognition, and role changes in relationship position were confirmed. Sons and mothers were individualized with synchronization.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.9
• /
• pp.2927-2941
• /
• 2022

The primary task of machine fault diagnosis is to judge whether the current state is normal or damaged, so it is a typical binary classification problem with mutual exclusion. Mutually exclusive events and out-of-domain detection have one thing in common: there are two types of data and no intersection. We proposed a fusion model method to improve the accuracy of machine fault diagnosis, which is based on the mutual exclusivity of events and the commonality of out-of-distribution detection, and finally generalized to all binary classification problems. It is reported that the performance of a convolutional neural network (CNN) will decrease as the recognition type increases, so the variational auto-encoder (VAE) is used as the primary model. Two VAE models are used to train the machine's normal and fault sound data. Two reconstruction probabilities will be obtained during the test. The smaller value is transformed into a correction value of another value according to the mutually exclusive characteristics. Finally, the classification result is obtained according to the fusion algorithm. Filtering normal data features from fault data features is proposed, which shields the interference and makes the fault features more prominent. We confirm that good performance improvements have been achieved in the machine fault detection data set, and the results are better than most mainstream models.

• 제어로봇시스템학회:학술대회논문집
• /
• 1992.10b
• /
• pp.468-472
• /
• 1992

In recent years, lots of researches on autonomous mobile robot have been accomplished. However they focused on environment recognition and its processing to make a decision on the motion, And cooperative multi-robot, which must be able to avoid crash and to make mutual communication, has not been studied much. This paper deals with cooperative motion of two robots, 'Meari 1" and "Meari 2 " made in our laboratory, based on communication between the two. Because there is an interference on communication occurring in cooperative motion of multi-robot, many restrictive conditions are required. Therefore, we have designed these robot system so that communication between them is available and mutual interference is precluded, and we used fuzzy interference to overcome unstability of sensor data.of sensor data.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.4 no.2
• /
• pp.1-12
• /
• 2008

Home network is a technology that provides possibilities of monitoring/controling/mutilating-recognition between optional home network machines in residences. Currently, home network or other networks like entertainment, residential electronic networks are jumbled together with heterogeneous networks in a rampaging condition. In a reality of high expectation for home networks system like the mutual application for various machines, we are required to have the unification technology for conveniences to satisfy expectations. This thesis reflects how to develop Java applications or mutual products based on convenient interfaces actually that process various sensors which create real time data stream in Java platform through Java based sensor data-stream processing embedded middleware design and realization in real time.

• The Journal of the Korea Contents Association
• /
• v.19 no.9
• /
• pp.122-134
• /
• 2019

This study aims to conceptualize characteristics of the Korean traditional dance, and to categorize and analyze the recognition of experience of passing down education of Seungmu(Buddhist Dance), Salpurichum(Exorcism Dance) and Taepyeongmu(Dance of Peace). Dividing into groups of two: an experienced person twenty years or more in the Korean dance and a person who completed the traditional dance three years or more, three groups were selected. We connected the characteristics of the traditional dance experienced in passing down education with the recognition experience in the training courses. Categorizing thematically the process and the recognition of experience in the passing down education program, we attempted mutual group discussion and inductive area analysis on the basis of in-depth interview, tutorial discussion and analysis contents. As a result of this study, first, the characteristics of the Korean traditional dance that graduates of the program by repertory empathize were the experience of the sinmyung(the excess of mirth) and improvisation, the supreme self-controlling beauty and the best beauty of expression. Second, the recognition of experience in the passing down education program runs as follows: Interacting in the centre of the process, new education system for transmission, and formation of social discourse for appreciation. Conclusionally, the experience and the new vision for transmission of passing down education of the traditional dance are required to be based on the appreciation of the rationality of mutual communication and recognition of experience.

• The Journal of Industrial Distribution & Business
• /
• v.9 no.3
• /
• pp.69-79
• /
• 2018

Purpose - Competition among cities around the world are rapidly shifting from competition of production factors such as labor costs and quality of raw materials to competition between the consumption factors such as quality of life, settlement environment, culture, and place. The entry into the era of competition between consumption factors is not only attracting investment for strengthening city competitiveness, but also actively inducing urban image reconstruction and new image making. Therefore, various studies related to urban marketing are being carried out. The object of this study is to investigate the effect of city brand image on city brand recognition and city loyalty based on the questionnaire of external citizens about Changwon city. Research design, data, and methodology - The data were collected from 200 Seoul and Busan citizens. Reliability and exploratory factor analysis were conducted through the SPSS program, and confirmatory factor analysis and structural equation modeling were conducted by using the AMOS program. Results - As a result of the hypothesis test, six hypotheses were adopted among the nine hypotheses. In summary, pleasant image, dynamic image, and good administrative image have a significant positive impact on city brand recognition. The magnanimous image did not have a significant effect on city brand recognition. In the impact of city brand image on city loyalty, magnanimous image and good administrative image had significant positive impact on city loyalty. Pleasant images and dynamic images did not significantly affect city loyalty. In addition, city brand recognition positively influenced city loyalty. Conclusions - First, it is possible to say that there is an academic significance of this research in its contribution to regional revitalization by investigating mutual influences in urban aspect by combining place marketing with image, recognition, and loyalty. Secondly, kinetic images such as pleasant image and dynamic image have more influence on recognition, and static images such as magnanimous images have more influence on loyalty. So, further research will be necessary to establish theories. Finally, In order to increase city brand recognition and city loyalty to local city, efforts should be made to improve urban images such as pleasant image, magnanimous image, dynamic image, and good administrative image.