• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.149-160
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• 1997

This paper is concerned with the problem of speaker-adaptive speech synthes is method using a mapped codebook designed by fuzzy mapping on FLVQ (Fuzzy Learning Vector Quantization). The FLVQ is used to design both input and reference speaker's codebook. This algorithm is incorporated fuzzy membership function into the LVQ(learning vector quantization) networks. Unlike the LVQ algorithm, this algorithm minimizes the network output errors which are the differences of clas s membership target and actual membership values, and results to minimize the distances between training patterns and competing neurons. Speaker Adaptation in speech synthesis is performed as follow;input speaker's codebook is mapped a reference speaker's codebook in fuzzy concepts. The Fuzzy VQ mapping replaces a codevector preserving its fuzzy membership function. The codevector correspondence histogram is obtained by accumulating the vector correspondence along the DTW optimal path. We use the Fuzzy VQ mapping to design a mapped codebook. The mapped codebook is defined as a linear combination of reference speaker's vectors using each fuzzy histogram as a weighting function with membership values. In adaptive-speech synthesis stage, input speech is fuzzy vector-quantized by the mapped codcbook, and then FCM arithmetic is used to synthesize speech adapted to input speaker. The speaker adaption experiments are carried out using speech of males in their thirties as input speaker's speech, and a female in her twenties as reference speaker's speech. Speeches used in experiments are sentences /anyoung hasim nika/ and /good morning/. As a results of experiments, we obtained a synthesized speech adapted to input speaker.

• Journal of Dairy Science and Biotechnology
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• v.32 no.1
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• pp.55-62
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• 2014

This study aims to suggest a management system consisting of functional ingredients by establishing guidelines for the analysis of functional animal products in Korea. Further, the guidelines can be used for validity tests of functional animal products. In addition, we can standardize the management system for details, and frame new laws for functional animal products. We researched the current studies on the analysis and assessment of functional foods, and established standard methods of analysis. We devised new analysis and assessment techniques to determine the efficacy and safety of functional ingredients for the legislation and management of functional animal products. This study may contribute to not only the safety and quality of functional animal products but also to enhancing the nation's health and the national image as being health-oriented, through improvements in the productivity and quality of functional animal products.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.4
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• pp.296-303
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• 2016

This study was performed to evaluate the effect of hemoglobin (Hb) on bone mineral density (BMD) in university students by performing a quantitative analysis. The subjects included healthy university students aged 20 to 30 years. Although osteoporosis has traditionally been considered as a disease of aging women, it is becoming an increasingly concerning male health problem. Diagnosis of osteoporosis is calculated with a quantitative assessment of BMD. Laboratory blood and urine tests are mainly used with low BMD or fragility fractures to identify any possible causes of bone metabolism disorders. In this study, there was no difference in BMD according to gender. The average red blood cell (RBC), Hb, and Hematocrit (HCT) were significantly higher in males (p<0.01). The correlation between lumbar spine, skeletal muscle mass (SMM), and basal metabolic rate (BMR) was statistically significant (p<0.01). Hb showed a 51.7% statistical influence on BMD by multiple regression analysis. These findings are useful to understand the relationship between BMD and Hb; lower Hb level is associated with lower BMD. The Hb level was the strongest predictor of abnormal BMD. In conclusion, this study showed that a low Hb value was significantly correlated with low bone mass, suggesting that a low Hb value is a risk factor for changes in bone turnover that leads to a decrease bone density.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.6
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• pp.723-731
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• 2020

The design of offshore plants should reflect the various requirements of the owner and the classification society. For a topside module mounted on an of shore structure, the design process is very demanding because of the large spatial constraints and the many requirements related to marine environmental conditions and safety such as the movement of the structure. In this study, the load acting on the hydraulic power unit, which is one of the main equipment in the topside module, was calculated according to the DNVGL rule; the structural safety was evaluated according to each load condition and the structural reliability of the developed product was improved. For structural analysis, MSC software was used, and structural analysis was performed under five load conditions to review structural safety for various movements. The results show that the maximum stress occurred during pitching toward the stern (Load Case 5). The stress level was approximately 85 % of the allowable stress, and the maximum deformation was approximately 5 % of the allowable value. The structural safety was confirmed, and no intermember interference occurred.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.529-538
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• 2017

This study examines the effects of reading and story sharing through fairy tales on young children's character development in their role play using natural materials. To achieve this, 40 5-year-old children at early childhood educational institutes in Daejeon were tested 16 times for 8 weeks. The results were as follows. First, their role plays using natural objects through reading and talking had a positive effect on their personality cultivation. Second, there was no experimental difference in their prudence and filial piety of basic behavioral items, but their cleanliness and patience were proven effective in the experiment. Third, all their justice, conscience and service indicating their sociality-related friendship, kindness, gentleness and morality were proven effective in the experiment, which their role plays using natural objects through reading and story sharing through fairy tales had an educational effect on improving their sociality and morality through peer interaction. This suggests that their mind to improve social virtues with an exchange of emotions, particularly, treat natural role play in a friendly way, their public promises to cherish life, and their ethical virtues to obey the rules in the process of consideration, appreciation, understanding and help through mutual communication and cooperation in forest experience activities are very effective from an educational perspective.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.413-419
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• 2011

Diagnosis X-ray equipment localized at 1950's but it is developed suddenly at 1960's with demand together. Manufacture of Diagnostic X-ray equipment is controled by the KS regulation and the Ministry of Health and Welfare because of hazardous element etc. exposure by radiation. Most of diagnostic X-ray equipment ware single phase and three phase full-wave rectification but from 1980's it transforms it was exchanged in inverter type X-ray equipment. Inverter type X-ray equipment produces approximately 50~80% more average photon intensity then single phase full-wave rectification and the accuracy is high. But from a clinic it dose not use because expensive therefor the efficiency improvement of single phase full-wave rectification is necessary. We produced single phase full-wave rectification X-ray equipment control unit, high tension transformer, filament heating transformer, rectification circuit, high tension cable and others and evaluated efficiency, in result which is excellent compare with Rule of Safety Management and KS regulation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.17 no.1
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• pp.61-68
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• 2011

The "ship's routeing" system was adopted by IMO and has been operated on the major sea routes of all over the world for the prevention of marine casualty and the improvement of marine traffic flow. Thereupon, also in Korea, the "Hong-do" and "Bogil-do" sea routes on southern coast were designated to mandatory sea area by traffic separation scheme(TSS) in 2003, and the "Geomun-do" sea route on southern coast was designated in 2005. But there were few or no studies on the effect of designated traffic separation scheme in Korea. For this reason, in this paper, we evaluated the contribution of traffic separation scheme to the prevention of marine casualty and the improvement of marine traffic flow after designation of domestic traffic separation scheme using data of the marine casualties and ship's tracks from AIS information. The results of evaluation showed that on the contrary, the cases of marine casualties were increased on some sea routes and regular traffic flows were disturbed by some vessels after designation of traffic separation scheme. For the safer and better sea routes, alternative ideas such as reposition of ship's routing on "Hong-do" and "Bogil-do" sea areas were suggested.

• The Journal of the Acoustical Society of Korea
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• v.18 no.5
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• pp.21-27
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• 1999

In this paper, we propose an improved MLP-based English pronunciation dictionary generator to apply to the variable vocabulary word recognizer. The variable vocabulary word recognizer can process any words specified in Korean word lexicon dynamically determined according to the current recognition task. To extend the ability of the system to task for English words, it is necessary to build a pronunciation dictionary generator to be able to process words not included in a predefined lexicon, such as proper nouns. In order to build the English pronunciation dictionary generator, we use context-dependent grapheme-to-phoneme multi-layer perceptron(MLP) architecture for each grapheme. To train each MLP, it is necessary to obtain grapheme-to-phoneme training data from general pronunciation dictionary. To automate the process, we use dynamic programming(DP) algorithm with some distance metrics. For training and testing the grapheme-to-phoneme MLPs, we use general English pronunciation dictionary with about 110 thousand words. With 26 MLPs each having 30 to 50 hidden nodes and the exception grapheme lexicon, we obtained the word accuracy of 72.8% for the 110 thousand words superior to rule-based method showing the word accuracy of 24.0%.

• Journal of KIISE
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• v.41 no.9
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• pp.674-685
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• 2014

The Knowledge service system needs to infer a new knowledge from indicated knowledge to provide its effective service. Most of the Knowledge service system is expressed in terms of ontology. The volume of knowledge information in a real world is getting massive, so effective technique for massive data of ontology is drawing attention. This paper is to provide the method to infer massive data-ontology to the extent of RDFS, based on cloud computing environment, and evaluate its capability. RDFS inference suggested in this paper is focused on both the method applying MapReduce based on RDFS meta table, and the method of single use of cloud computing memory without using MapReduce under distributed file computing environment. Therefore, this paper explains basically the inference system structure of each technique, the meta table set-up according to RDFS inference rule, and the algorithm of inference strategy. In order to evaluate suggested method in this paper, we perform experiment with LUBM set which is formal data to evaluate ontology inference and search speed. In case LUBM6000, the RDFS inference technique based on meta table had required 13.75 minutes(inferring 1,042 triples per second) to conduct total inference, whereas the method applying the cloud computing memory had needed 7.24 minutes(inferring 1,979 triples per second) showing its speed twice faster.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.4
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• pp.383-389
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• 2004

This paper proposes a method to provide intelligence for characters in fighting action games by using a neural network. Each action takes several time units in general fighting action games. Thus the results of a character's action are not exposed immediately but some time units later. To design a suitable neural network for such characters, it is very important to decide when the neural network is taught and which values are used to teach the neural network. The fitness of a character's action is determined according to the scores. For learning, the decision causing the score is identified, and then the neural network is taught by using the score change, the previous input and output values which were applied when the decision was fixed. To evaluate the performance of the proposed algorithm, many experiments are executed on a simple action game (but very similar to the actual fighting action games) environment. The results show that the intelligent character trained by the proposed algorithm outperforms random characters by 3.6 times at most. Thus we can conclude that the intelligent character properly reacts against the action of the opponent. The proposed method can be applied to various games in which characters confront each other, e.g. massively multiple online games.