• Journal of the Korean Society of Safety
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• v.36 no.5
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• pp.61-70
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• 2021

This study aimed to analyze the research trends of the abstract data of ergonomic studies registered in MEDLINE, a medical bibliographic database, using word embedding. Medical-related ergonomic studies mainly focus on work-related musculoskeletal disorders, and there are no studies on the analysis of words as data using natural language processing techniques, such as word embedding. In this study, the abstract data of ergonomic studies were extracted with a program written with selenium and BeutifulSoup modules using python. The word embedding of the abstract data was performed using the word2vec model, after which the data found in the abstract were vectorized. The vectorized data were visualized in two dimensions using t-Distributed Stochastic Neighbor Embedding (t-SNE). The word "ergonomics" and ten of the most frequently used words in the abstract were selected as keywords. The results revealed that the most frequently used words in the abstract of ergonomics studies include "use", "work", and "task". In addition, the t-SNE technique revealed that words, such as "workplace", "design", and "engineering," exhibited the highest relevance to ergonomics. The keywords observed in the abstract of ergonomic studies using t-SNE were classified into four groups. Ergonomics studies registered with MEDLINE have investigated the risk factors associated with workers performing an operation or task using tools, and in this study, ergonomics studies were identified by the relationship between keywords using word embedding. The results of this study will provide useful and diverse insights on future research direction on ergonomic studies.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.41-47
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• 2022

In this paper, we propose how to implement text summaries for colloquial data that are not clearly organized. For this study, SAMSum data, which is colloquial data, was used, and the BERTSumExtAbs model proposed in the previous study of the automatic summary model was applied. More than 70% of the SAMSum dataset consists of conversations between two people, and the remaining 30% consists of conversations between three or more people. As a result, by applying the automatic text summarization model to colloquial data, a result of 42.43 or higher was derived in the ROUGE Score R-1. In addition, a high score of 45.81 was derived by fine-tuning the BERTSum model, which was previously proposed as a text summarization model. Through this study, the performance of colloquial generation summary has been proven, and it is hoped that the computer will understand human natural language as it is and be used as basic data to solve various tasks.

• Science of Emotion and Sensibility
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• v.19 no.4
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• pp.119-126
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• 2016

In this study, we investigated the effects of mouth breathing on brain activity through electroencephalogram (EEG). EEG was performed on 12 healthy volunteers of age ranging from 21 to 27 years (male: female = 6:6, non-smoker). Brain waves on resting state (Rest_N/Rest_M) and auditory-language stimuli state (Eng_N/Eng_M) were recorded during mouth and nose breathing. Four different regions (R1~R4) were classified based on the brain functionality. And each channel (e.g., Pf1 and Pf2) and frequency (${\alpha}$, ${\beta}$, ${\gamma}$, and ${\theta}$) were analyzed using their absolute power ratios of fast Fourier transform (FFT). The results showed that there was no significant difference between Rest_N and Rest_M. Eng_N had significantly higher brain activity than Rest_N; on the other hand, there was no significant difference between Rest_M and Eng_M. These results demonstrate that mouth-breathing on resting state does not induce any significant effects on brain activity and/or functionality, even though it causes subtle temporary inconvenience. In addition to the uncomfort, the brain activity can be adversely influenced by mouth-breathing, which could lower the cognitive skills under certain circumstances.

• Phonetics and Speech Sciences
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• v.12 no.1
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• pp.85-95
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• 2020

Sentence repetition is a way of evaluating speech sound production to improve the limitation of word tests and spontaneous speech analysis. Speech sounds produced by children can be evaluated using several indicators. This study examined the progression of the percentage of correct consonants-revised (PCC-R) and phonological whole-word measure in different age and gender groups after setting consonants in various vowel contexts and implementing sentence repetition tasks that were designed to give all phonemes the chance to appear at least three times. For this study, 11 sentence repetition tasks were applied to 535 children aged 3 to 7 across the country, after which the resulting PCC-R and whole-word measure were analyzed. The study results showed that all the indicators improved in older age groups and there were significant differences depending on age, however, no significant differences dependent on gender were found. The sentence repetition conditions data used in this study were collected from across the country, and the age difference between each age group was six months. This study is noteworthy because it collected a sufficient amount of data from each group, highlighted the limitation of the word naming and the spontaneous speech analysis, and suggests new criteria of evaluation through the analysis of each whole-word measure in sentence repetition, which was not applied in previous studies.

• Journal of Internet Computing and Services
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• v.16 no.4
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• pp.71-81
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• 2015

With the increasing influence of online media, company websites have become important communication channels between companies and customers. Companies use their websites as a marketing tool for a variety of purposes, including enhancing their image and selling products or services. Many researchers have examined the criteria, methods, and tools for website evaluation, but most have focused on usability. Prior content analyses have focused not on text content but on website components, an approach likely to produce subjective evaluations. This study attempts to objectively evaluate company websites by utilizing text mining. We analyze the usefulness of company websites by presenting visualized outputs from a business perspective, allowing practitioners to easily understand the results of the website evaluation and use them in decision making. To demonstrate our method empirically, we selected a company with a number of affiliates in Korea and analyzed the text content of their websites to assess their usefulness using natural language processing and graphics packages in R. Practitioners can easily employ our objective evaluation method, and researchers can use it to gain a new perspective on website evaluation.

• Journal of Computational Design and Engineering
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• v.1 no.2
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• pp.79-87
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• 2014

Voronoi diagrams are powerful for solving spatial problems among particles and have been used in many disciplines of science and engineering. In particular, the Voronoi diagram of three-dimensional spheres, also called the additively-weighted Voronoi diagram, has proven its powerful capabilities for solving the spatial reasoning problems for the arrangement of atoms in both molecular biology and material sciences. In order to solve application problems, the dual structure, called the quasi-triangulation, and its derivative structure, called the beta-complex, are frequently used with the Voronoi diagram itself. However, the Voronoi diagram, the quasi-triangulation, and the beta-complexes are sometimes regarded as somewhat difficult for ordinary users to understand. This paper presents the two-dimensional counterparts of their definitions and introduce the BetaConcept program which implements the theory so that users can easily learn the powerful concept and capabilities of these constructs in a plane. The BetaConcept program was implemented in the standard C++ language with MFC and OpenGL and freely available at Voronoi Diagram Research Center (http://voronoi.hanyang.ac.kr).

• Journal of Distribution Science
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• v.18 no.4
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• pp.87-96
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• 2020

Purpose: In this paper, we provide an illustration of Indonesian youth Social Networking Service (SNS) behavior and its relation to their culinary activity. Specifically, their behavior of culinary activity preferences and also the factors affecting their action of spending their money. Data and methodology: We gathered primary data from stratified random questionnaire survey (406 youth). The gathered data was analyzed using text data mining and statistics using R statistical computing language. Results: 1) We found out why our respondents are interested in following the accounts of SNS food influencers: i.e. visually attracted to the posts, as their reference to find places to dine out, as their reference to try new food menu and to get nostalgic feeling about the food. 2) The respondents decide to actually go to the recommended culinary places because of several factors, specifically, its description (visual and text), location, word of mouth (WoM), the experience of being to that place and price. 3) Important factors affecting culinary spent are income, number of following food influencer account, SNS usage time and their interest when looking at WoM. Conclusions: SNS behavior influences Indonesian youth culinary activity preferences and spent.

• Culinary science and hospitality research
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• v.12 no.1 s.28
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• pp.93-110
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• 2006

Eumsik-dimibang is the oldest and first cooking recipe book in Korean language ever published in Korea. It was examined in order to find out food ingredients being used as side dishes and its cooking methods used at that time. As side dishes, there were many foods which used dogs as food ingredients for making Gae Jang Jim and Gae Jang etc. as well as Dong A such as Dong A Nurumi and Dong A sun. Also, there were many foods prepared by Nurumi cooking method for making Gae Jang Guk, Nurumi, eggplant Nurumi etc. From cooking methods for food ingredients for side dishes at that time, following characteristics could be found. First, there was a cooking method of broiling meat on fire after blanching it in water. Second, many cooking methods were used to remove fetid smells and fishy smells (using ginger, pepper, cheoncho etc). Third, there was a method which demanded much attention and devotion in the course of cooking. Fourth, use and cooking method of flour were diversified.

• Phonetics and Speech Sciences
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• v.2 no.3
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• pp.81-89
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• 2010

Korean and three other languages (English, Arabic, and Japanese) were compared with regard to the compensatory movements in a VC (Vowel and Consonant) sequence and word. For this, Korean data were collected from an experiment and the other languages' data from literature. All the test words of the languages had the same syllabic contexture, i.e., /CVCV(r)/, where C was an oral stop and intervocalic consonants were either bilabial or alveolar stops. The present study found that (1) Korean is most striking in the durational variations of segments (vowel and the following hetero-syllabic consonant); (2) unlike the three languages that show a constant sum of VC, Korean yields a three-way distinction in the length of VC according the type (lax unaspirated vs. tense unaspirated vs. tense aspirated) of the following stop consonant; (3) a durational constancy is maintained up to the word level in the three languages, but Korean word duration varies as a function of the feature tenseness of the intervocalic consonants; (4) consonant duration is proven to differentiate Korean the most from the other languages. It is suggested that the durational difference between a lax consonant and its tense cognate(s) and the degree of compensation between V and C are determined by the phonology in each language.

• Pediatric Infection and Vaccine
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• v.19 no.3
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• pp.89-110
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• 2012

Meningococcal Disease, manifesting as meningitis and septicemia, is a life-threatening bacterial infection that results in significant morbidity and mortality, particularly in childhood. Its epidemic potential and limited opportunities for clinical intervention due to its rapid course present unique public health and clinical challenges. Incidence is highest in infants and young children, with a secondary peak of risk in adolescents. Approximately 10% of cases are fatal and survivors can be left with serious and permanent sequelae including amputations, hearing loss and cognitive impairment. Transmission is only from human-to-human, by infected respiratory tract secretions or saliva and therefore crowding poses a tremendously elevated risk for disease development. Military recruits and university students are at high risk due to the high carriage rate in adolescents, their behavior patterns and close contact. Menveo$^{(R)}$ (Novartis Vaccines and Diagnostics), a novel quadrivalent meningococcal conjugate vaccine directed against meningococcal serogroups A, C, W-135 and Y, has been shown to be immunogenic and well tolerated in all age groups and was recently licensed for use in Korea. Recent cases and deaths among military recruits drew public attention to their elevated risk and the Korean government has recommended vaccination of all new military recruits. Many Korean students seek to attend school, university, or language institutes in countries where routine meningococcal vaccination is required - clinicians should be aware of such requirements to ensure that students are vaccinated prior to arrival in the destination country.