• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.91-110
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• 2023

The importance of manuals is emphasized because chemical accidents require swift response and recovery, and often result in environmental pollution and casualties. In this regard, the OECD revised OECD Guidelines for the Prevention, Preparedness, and Response to Chemical Accidents (referred to as the OECD Guidelines), in June 2023. Moreover, while existing research primarily raises awareness about chemical accidents, highlighting the need for a system-wide response including laws, regulations, and manuals, it was difficult to find comparative research on the attributes of manuals. So, this paper aims to compare and analyze the second and third editions of the OECD Guidelines, in order to uncover the information attributes and implications of the revised version. Specifically, TF-IDF (Term Frequency-Inverse Document Frequency) was applied to understand which keywords have become more important, and Word2Vec was applied to identify keywords that were used similarly and those that were differentiated. Lastly, a 2×2 matrix was proposed, identifying the topics within each quadrant to provide a deeper comparison of the information attributes of the OECD Guidelines. This study offers a framework to help researchers understand information attributes. From a practical perspective, it appears valuable for the revision of standard manuals by domestic government agencies and corporations related to chemistry.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.89.5-89
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• 2002

The technology to predict new chemical compounds by using properties of already known compounds is a kind of data mining and an important technology in chemical industrial fields. Many knowledge have been accumulated in the fields, and especially nowadays in the field of medicine development industry, the technology is connected with the post genome technology, and generates a new conception, physiome. The word is defined as followings. It is the quantitative and integrated description of the functional behavior of the physiological state of an individual or species. The physiome describes the physiological of the normal intact organism and is built on information and structure, that is geno...

• Journal of the Korean Society of Safety
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• v.38 no.3
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• pp.69-76
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• 2023

The purpose of the rules on the Occupational Safety and Health Standards (hereafter safety and health rules) is to regulate the safety and health measures stipulated in the Occupational Safety and Health Act and the specific instructions necessary for their implementation. However, the safety and health rules are extensive and complexly connected, making navigation difficult for users. In order for users to readily access safety and health rules, this study analyzed the frequency, distribution, and significance of terms included in the overall rules. First, the term distribution index was created based on the frequency and distribution of words extracted through text mining. The term distribution index derives from whether a word appears only in a specific chapter or across all rules. This allows users to effectively explore terms to be followed in a specific working environment and terms to be complied with in the overall working environment. Next, the related words of the previously derived terms were visualized through t-SNE and the Word2Vec algorithm. This can help prioritize the things that need to be managed first, focusing on key terms without checking the overall rules. Moreover, this study can help users explore safety and health rules by allowing them to understand the distribution of words and visualize related terms.

• Journal of People, Plants, and Environment
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• v.22 no.6
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• pp.593-600
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• 2019

We identified how plants affected by the human behavior of crushing plants respond and what kind of plants responded sensitively. We investigated Lactuca sativa "Gaesebadak", Syneilesis palmata and Peucedanum japonicum as plants that humans use for edible purposes, and Achyranthes japonica and Bidens bipinnata as wild plants that stick to people's clothes and disperse seed. Plants exposed to human breathing air were compared with those exposed to human breathing air after being crushed. Methyl jasmonate (MeJA), a chemical word, was measured using Syft/MS, which detects real-time VOC, and related genes were analyzed. The amount of MeJA of Syneilesis palmata and Peucedanum japonicum as edible plants was greater than that of non-edible plants that disperse seeds using humans. The amount of MeJA ranged from 0.20 ppb to 0.35 ppb when the control group were not exposed to human breathing air. On the other hand, MeJA decreased after increasing for the first hour in human breathing air. Also, MeJA affected by human breathing after crushing plants was higher than that affected by just human breathing air. Peucedanum japonicum showed the most distinctive difference between the treatment with human breathing after crushing plants and the treatment with just human breathing. In addition, the gene activity of JAR1 and JMT increased 3 hours after the treatment with human breathing after crushing plants. Therefore, in the treatment with human breathing after crushing plants, the concentration of MeJA and the activity of related genes showed the same tendency to increase. As a result, the plant that responded sensitively to human behavior was Peucedanum japonicum. Plants released MeJA as a chemical word in the treatment with human breathing air after crushing plants.

• Journal of Information Management
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• v.16 no.4
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• pp.117-142
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• 1983

MITSUBISHI CHEMICAL CENTER (이하(以下) MCES라 함)에서는 도서관리업무(圖書管理業務)의 합리화(合理化)를 도모하기 위하여 중소규모용(中小規模用) 도서관리(圖書管理)시스뎀을 도입(導入)하여 도서실(圖書室)의 운영(運營)에 효과(效果)를 올리고 있다. 본(本)시스템의 특징(特徵)으로서는 (1)퍼스널 컴퓨터를 이용한 저렴(低廉)한 시스뎀, (2)키워드(Key word) 검색의 가능(可能)<완전일치방식(完全一致方式)>, (3)바코드(Bar code)를 이용(利用)한 인력작업(人力作業)의 간소화 등을 꼽을 수 있다. 본(本) 시스템의 도입경과(導入經過), 시스뎀 구성(構成), 대상업무(對象業務), 효과(效果) 등에 대해서 소개(紹介)한다.

• Journal of the Korean Chemical Society
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• v.52 no.3
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• pp.315-321
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• 2008

The posters are the tools to communicate authors' idea with others by visual image and a little word. Every discipline has its own sign with specific meaning shared by the members of the discipline. Chemists and students learning chemistry, therefore, will communicate with each other by specific chemical signs (codes). The Korean Chemical Society has held the feast of drawing chemistry posters by students nationwide since 2004. In 2004 and 2005, more than three thousands of posters were submitted, and about one hundred and fifty posters were selected as the prize winners. The award was divided by the grade levels of elementary, middle, and high school. This study explores the codes of chemistry used in students' posters. With the analysis of the visual elements and the verbal elements of posters, 7 chemical codes were found such as the liquid, the experiment apparatus, the graduations, the chemical language, scientists, the earth and environment, and things around us. In addition, the differences were investigated on the grade levels, on awarded or non-awarded poster, and on the years. Educational implications of these findings are discussed.

• Journal of Korean Academy of Nursing
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• v.13 no.3
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• pp.106-118
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• 1983

The main purpose of this study is to systematically classify words indicating pain in terms of their ranks in each subclass. This study is a part of developing a Korean Pain Measurement Tool. This study didnot include exploration of each word's dimension such as sensory or affective. Eighty three Korean words tentatively classified in 19 subclasses in previous study were used for this study. At least three to six words were included in each subclass and the words were randomly placed in which each subject indicates their rank of pain degree. One hundred and fifty nursing students and one hundred clinical nurses were requested to indicate the rank of each word. One hundred and sixteen students and eighty three nurses completed the ratings for analysis. The data were collected from June 1983 to July 1983. The data using ordinal scale were analyzed by Friedman ANOVA to test significant difference between rank means. All of pain words indicated significant rank mean difference in all of 19 subclasses. Some of the words were either cancelled or replaced by other words, or rearranged for their ranks. Subclasses of which words were cancelled were 1) Simple stimulating pain, 2) Punctuate pressure, 3) peripheral nerve pain, 4) radiation pain, 5) punishment-related pain, and 6) suffering-related pain. Subclasses of which words were replaced or rearranged were 1) incisive pressure, 2) constrictive pressure, 3) dull pain, 4) tract pain, 5) digestion-related pain and 6) fear-related pain. Four subclasses such as traction pressure, thermal, cavity pressure, and fatigue- elated pain indicated significant differences among rank means in each subclasses and showed no visible overlaps of the ranks among means. Further research is needed using high level measurement of pain degree of each word and more sophisticated analysis of the pain degrees. Three pain words which would be related to chemical stimulation were newly explored and included as a new subclass. Through this study, the total number of subclasses increases from 19 to 20 and the total number of Korean words in the scale decreases from 83 to 80.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.58-66
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• 2019

Recognition of named entity such as proper nouns in conversation sentences is the most fundamental and important field of study for efficient conversational information prediction. The most important part of a task-oriented dialogue system is to recognize what attributes an object in a conversation has. The named entity recognition model carries out recognition of the named entity through the preprocessing, word embedding, and prediction steps for the dialogue sentence. This study aims at using user - defined dictionary in preprocessing stage and finding optimal parameters at word embedding stage for efficient dialogue information prediction. In order to test the designed object name recognition model, we selected the field of daily chemical products and constructed the named entity recognition model that can be applied in the task-oriented dialogue system in the related domain.

• Special Issue of the Society of Naval Architects of Korea
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• 2013.12a
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• pp.1-7
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• 2013

In past decades, a maximum standard vessel size for chemical tankers is not normally larger than 55,000 TDW due to the characteristic of chemical product shipment which is so variable but small quantity unlike single product carries such as crude oil tankers. These days, as demand of very large chemical tanker is rising due to the change of market trend of chemical product shipment, 75,000 TDW class chemical tanker has been developed. The newly developed vessel's structure has been designed based on CSR (Common Structural Rule) for double hull oil tankers (hereafter CSR) published by IACS (International Association of Classification Societies). However, due to the large difference from typical oil tankers, many items should be specially considered such as on deck transverse and corrugated bulkheads. In addition, two longitudinal bulkheads without upper stool have been constructed in order to maximise the number of cargo tanks and the volume of each cargo tanks. In this study, key word of the vessel has been briefly reviewed and the structural reliability of the proposed vessel has been investigated.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.48-57
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• 2019

The purpose of this study is to understand the intention of the inquirer from the single text type question in Goal-oriented dialogue. Goal-Oriented Dialogue system means a dialogue system that satisfies the user's specific needs via text or voice. The intention analysis process is a step of analysing the user's intention of inquiry prior to the answer generation, and has a great influence on the performance of the entire Goal-Oriented Dialogue system. The proposed model was used for a daily chemical products domain and Korean text data related to the domain was used. The analysis is divided into a speech-act which means independent on a specific field concept-sequence and which means depend on a specific field. We propose a classification method using the word embedding model and the CNN as a method for analyzing speech-act and concept-sequence. The semantic information of the word is abstracted through the word embedding model, and concept-sequence and speech-act classification are performed through the CNN based on the semantic information of the abstract word.