• Communications of Mathematical Education
• /
• v.33 no.3
• /
• pp.275-294
• /
• 2019

In order to understand the recent trends in mathematics education research papers, data mining method was applied to analyze journals of the mathematics education posterior to the year of 2016. Text mining method is useful in the sense that it utilizes statistical approach to understand the linkages and influencing relationship between concepts and deriving the meaning that data shows by visualizing the process. Therefore, this research analyzed the key words largely mentioned in the recent mathematics education journals. Also the correlation between the subjects of mathematics education was deduced by using topic modeling. By using the trend analysis tool it is possible to understand the vital point which researchers consider it as important in recent mathematics education area and at the same time we tried to use it as a fundamental data to decide the upcoming research topic that is worth noticing.

• Phonetics and Speech Sciences
• /
• v.11 no.3
• /
• pp.39-47
• /
• 2019

We propose a method to improve the performance of spontaneous speech recognizers by extending their phone set using speech data. In the proposed method, we first extract variable-length phoneme-level segments from broadcast speech signals, and convert them to fixed-length latent vectors using an long short-term memory (LSTM) classifier. We then cluster acoustically similar latent vectors and build a new phone set by choosing the number of clusters with the lowest Davies-Bouldin index. We also update the lexicon of the speech recognizer by choosing the pronunciation sequence of each word with the highest conditional probability. In order to analyze the acoustic characteristics of the new phone set, we visualize its spectral patterns and segment duration. Through speech recognition experiments using a larger training data set than our own previous work, we confirm that the new phone set yields better performance than the conventional phoneme-based and grapheme-based units in both spontaneous speech recognition and read speech recognition.

• The Journal of the Acoustical Society of Korea
• /
• v.29 no.2
• /
• pp.125-132
• /
• 2010

Since the ancient times, animals that can imitate the voices of human beings have been considered extremely special. There are very few such animals, and the parrot is an example of them. For a long time, there had been no reported case of a rooster being able to mimic the voice of a human being, but talking roosters were recently found in Korea and the Kyrgyz Republic, generating much talk. In this study, the vocal characteristics of such roosters were examined, and their pronunciation-related statistics and actual sound sources were analyzed. The analysis results showed that even though the roostets cannot converse with people, they can imitate the human voice, uttering the words "An-dwae," and "A-ni-ya" in Korean, which mean "No" in English, when someone tries to catch their wings. A similar situation 'occurred in the Kyrgyzstan. The results of the listening survey on these sounds made by the roosters showed that most people recognized the words uttered by the roosters and that nobody thought that the words sounded like "cock-a-doodle-doo." It can be said that such roosters can make the sounds of the human voice because of their innate vocal organ and characteristics, which are significantly different from those of the general roosters. Their vocal organ and characteristics cause the sounds that they make to change in their vocal cords due to their high tension when humans try to catch them.

• Archives of design research
• /
• v.16 no.4
• /
• pp.433-442
• /
• 2003

The concept of pun was basically used to get rhetorical effect in verbal usage and it can be easily applicable to visual communication design. By substituting symbolic images for words of verbal expression, we can draw out some effective communication methods in forms of pun. For years, visual puns have been useful concept to convey a visual message from ancient hieroglyphics to modern arts and design. There are essentially three categories of visual puns. Literal pun upholds the primary meanings of the message literally by picking up a key symbol to create two or more meanings, meanwhile suggestive pun is created when one symbol is used as a key symbol or two or more symbols are combined to created one key symbol that can suggest and strengthen meanings. Comparative pun can be defined two or more symbols of nearly the same appearance are combined or juxtaposed two or more times to enhance overall statement. The concept of visual pun used for traditional area can also be effective ways of new media communication. Thus it is natural to see the concept of visual puns in website. How to handle the images in website is the most critical point for differentiation. But recently, web site designers just seem to focus on somewhat functional aspect. There are certain types of web design formats, and many designers are tend to follow these routines unconsciously. In this situation, the new aspect of visual puns for web design can be a possible design method to fortify the overall message. Through this concept, we can build up some clear identity compared to other web sites and can get alternatives to perform more effective communication ways as a problem-solving process.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
• /
• 2003.04a
• /
• pp.98-98
• /
• 2003

무순에는 비타민 C가 많이 들어 있어 겨울철 비타민 공급원뿐만 아니라 디아스타제라는 효소가 들어 있어 소화를 촉진시키는 역할을 한다. 그 외에도 거담제 및 건위제 작용을 하고 음주로 인한 토혈해소, 천식에도 좋아 약용하기도 한다. 본 연구에서는 이용가치는 적지만 농가 소득증대에 기여 할 수 있으며 소화를 촉진시키는 무순, 또는 무싹기름이라고 일컬어지는 무순을 추출용매에 따라 생리활성 효과 분석하고 영양학적 가치가 가장 높은 시기의 무순을 선택함으로써 올바른 섭취의 기초자료를 마련하고 그 기능성을 확인하여 기능성 식품소재 및 기능성 화장품 소재로써의 활용을 검토하고자 하고자 한다. 무순을 4일, 8일, 12일에 따라 incubator에 배양하여 시기별로 채취하여 동결건조 한 후 70% Ethanol, 80% Methanol, 75% acetone, 열수로 환류 추출한 후 시료로 사용하였다. 각 용매 추출물에 대해 DPPH free radical 소거능 실험에서는 acetone 추출물에서 89.18%로 가장 높은 전자공여능을 나타냈으며 각각의 추출용매에서 성장 4일과 12일의 무순에서 높은 전자공여능을 보였다. 아질산염 소거능에서는 pH 1.2의 조건에서 가장 높은 아질산염 소거능을 보였고, 열수 추출물에서 89.70%로 가장 높은 소거능을 보였다. pH 4.2조건에서는 열수추출물의 소거능이 가장 좋았고, pH 6.0 조건에서는 가장 낮은 소거능을 보였으며, Ethanol 과 Methanol 추출물에서 23.55∼37.41%의 소거능을 보였다. SOD유사활성은 성장 8일에서 모두 낮은 활성을 보였으며, 성장 4일과 성장 12일의 무순에서는 큰 차이를 보이지 않았지만, Methanol 추출물중 성장 12일에서 27.41%의 SOD유사활성을 보였다.ic acid는 28.8∼51.7 mg%, 미강에서 321.4∼438.4 mg% 범위로 나타났다. 현미, 백미 및 미강에 함유된 총 폴리페놀의 함량을 표준 페놀화합물로 카테친을 사용하고 비색법에 의하여 측정하였을 때 오대 현미의 폴리페놀 함량은 78.4 mg%, 남평 현미 88.8 mg% 였다. 도정한 백미 중의 총 폴리페놀 함량은 30.3∼56.9 mg%, 미강이 541.5∼472.6 mg%의 범위였다. 이상과 같이 쌀에는 phenolic acid 및 총 폴리페놀이 상당량 함유되어 있으며 특히 배유보다는 강층에 많이 존재하므로 이들 성분의 효율적인 이용을 위한 쌀의 섭취방안이 필요한 것으로 나타났다. 유의적인 상관관계를 나타내고 있어 백편의 조직감은 Compression force 와 Work ratio로 대치할 수 있을 것이라고 사료된다. 수분함량은 기계적 검사보다 관능검사와 더욱 높은 상관관계를 나타냈다.내었다. 항균활성이 우수한 생약재를 농도별로 활성을 조사한 결과, 물 추출물과 10% Ethanol 추출물 모두 낮은 농도에서도 우수한 항균활성을 나타내었다.취와 함께 점질성 갈변물질이 생성되었다. 이와 같은 결과로 볼 때, BAAG의 처리는 BAAC의 경우보다 가격은 저렴하면서도 항균력은 우수한 천연 항균복합제재로써 농산물 식품원료에 적용하여 선도유지 기간을 연장할 수 있는 효과를 기대할 수 있었다. 과일 등의 포장제로서 이용할 가능성을 확인하였다.로 [-wh] 겹의문사는 복수 의미를 지닐 수 없 다. 그러면 단수 의미는 어떻게 생성되는가\ulcorner 본 논문에서는 표면적 형태에도 불구하고 [-wh]의미의 겹의문사는 병렬적 관계의 합성어가 아니라 내부구조를 지니지 않은 단순한 단어(minimal $X^{0}$ elem

• The Journal of the Acoustical Society of Korea
• /
• v.18 no.6
• /
• pp.49-56
• /
• 1999

In many continuous speech recognition systems based on HMMs, decision tree-based state tying has been used for not only improving the robustness and accuracy of context dependent acoustic modeling but also synthesizing unseen models. To construct the phonetic decision tree, standard method performs one-level pruning using just single Gaussian triphone models. In this paper, two novel approaches, two-level decision tree and multi-mixture decision tree, are proposed to get better performance through more accurate acoustic modeling. Two-level decision tree performs two level pruning for the state tying and the mixture weight tying. Using the second level, the tied states can have different mixture weights based on the similarities in their phonetic contexts. In the second approach, phonetic decision tree continues to be updated with training sequence, mixture splitting and re-estimation. Multi-mixture Gaussian as well as single Gaussian models are used to construct the multi-mixture decision tree. Continuous speech recognition experiment using these approaches on BN-96 and WSJ5k data showed a reduction in word error rate comparing to the standard decision tree based system given similar number of tied states.

• Spatial Information Research
• /
• v.23 no.5
• /
• pp.1-7
• /
• 2015

Twitter has the fast propagation and diffusion of information compare to other SNS. Therefore, many researches about detecting real-time event using twitter are progressing. Twitter real-time event detecting system assumes every twitter user as a sensor and analyzes their written tweet in order to detect the event. Researches that are related to this twitter have already obtained good results but confronted the limits because of some problems. Especially, many existing researches are using the method that can trace an event location by using GPS coordinate. However, it can be suggested a definite limitation through the present user's skeptical responses about making personal location information public. Therefore, this paper suggests the method that traces the location information in tweet contents text without using the provided location information from twitter. Associated words were grouped by using the keyword that extracted in tweet contents text. The place that the events have occurred and whether the events have surely occurred are detected by this experiment using this algorithm. Furthermore, this experiment demonstrated the necessity of the suggested methods by showing faster detection compare to the other existing media.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.42 no.6
• /
• pp.167-176
• /
• 2005

This paper describes how the state tying model based on the decision tree which is one of Acoustic models used for speech recognition optimizes the model by reducing the number of mixture Gaussians of the output probability distribution. The state tying modeling uses a finite set of questions which is possible to include the phonological knowledge and the likelihood based decision criteria. And the recognition rate can be improved by increasing the number of mixture Gaussians of the output probability distribution. In this paper, we'll reduce the number of mixture Gaussians at the highest point of recognition rate by clustering the Gaussians. Bhattacharyya and Euclidean method will be used for the distance measure needed when clustering. And after calculating the mean and variance between the pair of lowest distance, the new Gaussians are created. The parameters for the new Gaussians are derived from the parameters of the Gaussians from which it is born. Experiments have been performed using the STOCKNAME (1,680) databases. And the test results show that the proposed method using Bhattacharyya distance measure maintains their recognition rate at $97.2\%$ and reduces the ratio of the number of mixture Gaussians by $1.0\%$. And the method using Euclidean distance measure shows that it maintains the recognition rate at $96.9\%$ and reduces the ratio of the number of mixture Gaussians by $1.0\%$. Then the methods can optimize the state tying model.

• Journal of Internet Computing and Services
• /
• v.19 no.6
• /
• pp.21-29
• /
• 2018

In the era of the 4-th industrial revolution, the concept of smart factory is emerging. There are efforts to predict the occurrences of facility errors which have negative effects on the utilization and productivity by using data analysis. Data composed of the situation of a facility error and the type of the error, called the facility error log, is required for the prediction. However, in many manufacturing companies, the types of facility error are not precisely defined and categorized. The worker who operates the facilities writes the type of facility error in the form with unstructured text based on his or her empirical judgement. That makes it impossible to analyze data. Therefore, this paper proposes a framework for constructing a phrase network to support the identification and classification of facility error types by using facility error logs written by operators. Specifically, phrase indicating the types are extracted from text data by using dictionary which classifies terms by their usage. Then, a phrase network is constructed by calculating the similarity between the extracted phrase. The performance of the proposed method was evaluated by using real-world facility error logs. It is expected that the proposed method will contribute to the accurate identification of error types and to the prediction of facility errors.

• Knowledge Management Research
• /
• v.22 no.4
• /
• pp.217-235
• /
• 2021

As 49% of the world's population uses social media platforms, communication and content sharing within social media are becoming more active than ever. In this environmental base, the one-person media market grew rapidly and formed public opinion, creating a new trend called sell-sumer. This study defined new types of influencers by product category by analyzing the subject concentration of the commercial/non-commercial keywords of influencers and the impact of the ratio of commercial postings on sales. It is hoped that influencers working within social media will be helpful to new sales strategies that are transformed into sell-sumers. The method of this study classifies influencers' commercial/non-commercial posts using Python, performs text mining using KoNLPy, and calculates similarity between FastText-based words. As a result, it has been confirmed that the higher the keyword theme concentration of the influencer's commercial posting, the higher the sales. In addition, it was confirmed through the cluster analysis that the influencer types for each product category were classified into four types and that there was a significant difference between groups according to sales. In other words, the implications of this study may suggest empirical solutions of social media sales strategies for influencers working on social media and marketers who want to use them as marketing tools.