• Journal of Broadcast Engineering
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• v.25 no.5
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• pp.742-749
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• 2020

This paper proposes a method for recognizing both phoneme and emotion using a common neural network and a multi-task training method for the common neural network. The common neural network performs the same function for both recognition tasks, which corresponds to the structure of multi-information recognition of human using a single auditory system. The multi-task training conducts a feature modeling that is commonly applicable to multiple information and provides generalized training, which enables to improve the performance by reducing an overfitting occurred in the conventional individual training for each information. A method for increasing phoneme recognition performance is also proposed that applies weight to the phoneme in the multi-task training. When using the same feature vector and neural network, it is confirmed that the proposed common neural network with multi-task training provides higher performance than the individual one trained for each task.

• The Korean Journal of Emergency Medical Services
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• v.25 no.2
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• pp.55-69
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• 2021

Purpose: This study aimed to develop 360° virtual reality videos and common videos for cardiac arrest recognition. Methods: A sequential mixed methods study was conducted, using qualitative interviews (with a total of seven experts) and a quantitative survey. Results: First, the cardiac arrest situation should be developed within 2-3 minutes after witnessing the patient collapse, for each of the four cardiac arrest videos about apnea, gasping, seizure, gasping, and seizure. Second, the education program should be designed so that the education on cardiac arrest recognition can proceed before CPR practice begins. Conclusion: 360° virtual reality videos and common videos for cardiac arrest recognition can play an important role in the education of the general public about cardiac arrest experience.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5C
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• pp.371-377
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• 2008

In this paper, we present a framework for vision-based two-arm gesture recognition. To capture the motion information of the hands, we perform color-based tracking algorithm using adaptive kernel for each frame. And a feature selection algorithm is performed to classify the motion information into four different phrases. By using gesture phrase information, we build a gesture model which consists of a probability of the symbols and a symbol sequence which is learned from the longest common subsequence. Finally, we present a similarity measurement for two-arm gesture recognition by using the proposed gesture models. In the experimental results, we show the efficiency of the proposed feature selection method, and the simplicity and the robustness of the recognition algorithm.

• Korean journal of food and cookery science
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• v.26 no.5
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• pp.521-529
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• 2010

The purpose of this study was to research healthy food behavior and food recognition for each Asian country after subjects had visited Asian restaurants. The subjects of the study were university students from Griffith university and Queensland university, Australia. The survey was conducted from June 1 to 28, 2010. The summary of the analysis is as follows. Firstly, for dietary behavior related to healthy food, 'average' was the most common answer at 41.0% (102 respondents). Regarding the standard of selecting healthy food, 'if it is good for health' was the most common answer, regarding the reasons to like healthy food, 'because it is good for health', was the most common, and for information about healthy food, 'obtain from TV or media' was the most common. Regarding eating healthy food at home or dining out, most respondents answered 'once or twice a week', whereas regarding thinking of eating healthy food while dining out, 'average' was the most common answer. Secondly, the recognition of six Asian cuisines were ranked in the order of Chinese, Japanese, Korean, Thai, Indian, and Vietnamese. Representative well-being food by country, Bibimbap of Korea, Sushi of Japan, Shark's Fin of China, Tom Yum Kung of Thailand, Curry of India and Goi Cuon of Vietnam were selected. Thirdly, regarding recognition of well-being food, disease effect factor, health-oriented factor, nutrition factor and vegetarian diet factor were extracted. We found that disease effect factor and nutrition factor had positive (+) effects on visiting Asian restaurants due to recognition of well-being foods. Therefore, it is expected that more local people will eat at Asian restaurants if the public relations for Asian restaurants emphasizes harmony between well-being food and Asian food.

• Journal of Arbitration Studies
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• v.31 no.3
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• pp.3-23
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• 2021

England is a significant base for international trade in Europe, and dispute resolution through arbitration is active. Therefore, due to the geographical relationship with the European continent, the settlement of trade transactions and disputes with European countries is one of the most essential tasks. In this regard, arbitration procedures in England have been actively used for a long time. In England, dispute resolution methods through arbitration have been developed centered on merchant groups such as guilds from the 16th century and have been actively used until today. However, the arbitration procedure also had the characteristics of the common law because there was no legislation related to arbitration. Therefore, arbitration based on common law was carried out until the first half of the 19th century. In the 'Arbitration Act 1889', two types of arbitration systems, 'common law arbitration' and 'statutory arbitration' coexisted. However, in the arbitration procedure, according to the newly enacted 'Arbitration Act 1889', the arbitration agreement was binding from the time the arbitration agreement was reached. There was a way to select an arbitrator even if it was not explicitly stipulated in the arbitration agreement, and the arbitration award was quickly enforced. Arbitration under contract was preferred over common law arbitration, where withdrawal and revocation of awards were possible. However, in response to these provisions, the England courts considered the arbitration system to deprive the courts of jurisdiction, while a strengthened judicial review of arbitration procedures was done. In particular, England unified the arbitration-related laws, which had been scattered for a long time, adopted the model law, and enacted the 'Arbitration Act 1996'. Under the recognition and enforcement of arbitral awards in 'Arbitration Act 1996', Section 66 deals with the recognition and enforcement of arbitral awards and foreign arbitral awards. Section 2 of the 'Arbitration Act 1950' is inherited and used as it is. Second, it deals with the execution of arbitral awards under the New York Convention: Article 100 (New York Convention), Section 101 (Approval and Enforcement of Awards), Section 102 (Evidence Presented by a Party Seeking Recognition and Enforcement), and Section 103 (Provides Matters Concerning Rejection Recognition and Enforcement).

• Journal of the Semiconductor & Display Technology
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• v.18 no.4
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• pp.57-61
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• 2019

Nowadays, portable digital cameras such as smart phone cameras are being popularly used for entertainment and visual information recording. Given a database of geo-tagged images, a visual location recognition system can determine the place depicted in a query photo. One of the most common visual location recognition approaches is the bag-of-words method where local image features are clustered into visual words. In this paper, we propose a new bag-of-words-based visual location recognition algorithm using time-series streetview database. The proposed algorithm selects only a small subset of image features which will be used in image retrieval process. By reducing the number of features to be used, the proposed algorithm can reduce the memory requirement of the image database and accelerate the retrieval process.

• MALSORI
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• no.46
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• pp.145-157
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• 2003

In this paper, we'd like to briefly introduce Korean common speech database, which project has been started to construct a large scaled speech database since 2002. The project aims at supporting the R&D environment of the speech technology for industries. It encourages domestic speech industries and activates speech technology domestic market. In the first year, the resulting common speech database consists of 25 kinds of databases considering various recording conditions such as telephone, PC, VoIP etc. The speech database will be widely used for speech recognition, speech synthesis, and speaker identification. On the other hand, although the database was originally corrected by manual, still it retains unknown errors and human errors. So, in order to minimize the errors in the database, we tried to find the errors based on the recognition errors and classify several kinds of errors. To be more effective than typical recognition technique, we will develop the automatic error detection method. In the future, we will try to construct new databases reflecting the needs of companies and universities.

• Proceedings of the KSPS conference
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• 1996.10a
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• pp.464-467
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• 1996

This paper aims to exploit inter/intra-speaker phoneme sub-class variations as criteria for adaptation in a phoneme recognition system based on a novel neural network architecture. Using a subcluster neural network design based on the One-Class-in-One-Network (OCON) feed forward subnets, similar to those proposed by Kung (2) and Jou (1), joined by a common front-end layer. the idea is to adapt only the neurons within the common front-end layer of the network. Consequently resulting in an adaptation which can be concentrated primarily on the speakers vocal characteristics. Since the adaptation occurs in an area common to all classes, convergence on a single class will improve the recognition of the remaining classes in the network. Results show that adaptation towards a phoneme, in the vowel sub-class, for speakers MDABO and MWBTO Improve the recognition of remaining vowel sub-class phonemes from the same speaker

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.42 no.1
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• pp.13-20
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• 2005

In this paper, I recognized Korean isolated words using CVEM which is suggested by M. Bilginer et al. CVEM is an algorithm which is easy to extract the common properties from training voice signals and also doesn't need complex calculation. In addition CVEM shows high accuracy in recognition results. But, CVEM has couple of problems which are impossible to use for many training voices and no discriminant information among extracted common vectors. To get the optimal common vectors from certain voice classes, various voices should be used for training. But CVEM is impossible to get continuous high accuracy in recognition because CVEM has a limitation to use many training voices and the absence of discriminant information among common vectors can be the source of critical errors. To solve above problems and improve recognition rate, k-clustering subspace method and DCVEM suggested. And did various experiments using voice signal database made by ETRI to prove the validity of suggested methods. The result of experiments shows improvements in performance. And with proposed methods, all the CVEM problems can be solved with out calculation problem.

• MALSORI
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• no.43
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• pp.89-99
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• 2002

Recently, researches into ways of improving large vocabulary continuous speech recognition and speech synthesis are being carried out intensively as the field of speech information technology is progressing rapidly. In the field of speech recognition, developments of stochastic methods such as HMM require large amount of speech data for training, and also in the field of speech synthesis, recent practices show that synthesis of better quality can be produced by selecting and connecting only the variable size of speech data from the large amount of speech data. In this paper we design and discuss linguistic contents for speech copora for speech recognition and synthesis to be shared in common.