• International journal of advanced smart convergence
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• 제12권4호
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• pp.154-163
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• 2023

With the rapid development of AI technology, ChatGPT and other AI content creation tools are becoming common, and users are becoming curious and adopting them. These tools, unlike search engines, generate results based on user prompts, which puts them at risk of inaccuracy or plagiarism. This allows unethical users to create inappropriate content and poses greater educational and corporate data security concerns. AI content detection is needed and AI-generated text needs to be identified to address misinformation and trust issues. Along with the positive use of AI tools, monitoring and regulation of their ethical use is essential. When detecting content created by AI with an AI content detection tool, it can be used efficiently by using the appropriate tool depending on the usage environment and purpose. In this paper, we collect data on AI content detection tools and compare and analyze the functions and characteristics of AI content detection tools to help meet these needs.

• Journal of Applied Biological Chemistry
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• 제65권4호
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• pp.413-419
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• 2022

The applicability of Brussels sprouts, which are widely cultivated in Jeju, as a functional biomaterial in the cosmetics and food industries is investigated. The active ingredients (total phenols and flavonoids, β-carotene, vitamin C, free sugar, minerals, glucosinolates, and isothiocyanates) and antioxidant activities of 70% ethanol extracts of Brussels sprouts and cabbage were analyzed. The total phenol, flavonoid, vitamin C, and β-carotene contents of Brussels sprouts were approximately 36%, 2.5 times, 2.3 times, and 65% higher than those of cabbage, respectively. The total free sugar content of Brussels sprouts was 58%-72% lower than that of cabbage. The K content was the highest among the other minerals, and there was little difference between the two samples. The Na content was approximately three times higher in cabbage than in Brussels sprouts. The total glucosinolate content of Brussels sprouts was 34.5 mol SE/g DW, twice that of cabbage. The sinigrin content of Brussels sprouts was thrice (10.06 μmol/g DW) that of cabbage. The isothiocyanate (sulforaphane, I3C) content in Brussels sprouts was double that of cabbage. The antioxidant activity of Brussels sprout extract was 2.5 to 2.8 times higher in 1,1-Diphenyl-2-picrylhydrazyl radical scavenging capacity and 3.3 to 3.6 times higher in 2,2'-Azino-bis(3-ethybenzothiazoline-6-sulfonic acid) radical scavenging capacity than those of cabbage extract. These are important basic data for the study of glucosinolates and isothiocyanates, which have anticancer activity, as well as antioxidant-related substances of Brussels sprout, which has high potential for use as a biomaterial in functional foods and cosmetics.

• 한국환경교육학회지:환경교육
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• 제15권1호
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• pp.115-124
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• 2002

The purpose of this research is to analyze the contents related to environmental education(EE) in the elementary school textbooks for the following areas: well-balanced EE, and development of EE curriculum/teachers' guide in elementary school level. For the purpose of this analysis, elementary school teachers, education administrators and EE specialists were involved. Eleven content areas of EE, namely: natural environment, artificial environment, population, industrialization, natural resources, pollution, environmental conservation, environment sanitation, environment ethics, environmentally sound and sustainable development(ESSD), and daily li(e as a consumer, were analyzed. The results of the analysis are as follows: 1. There are total 1,140 contents related to EE in the elementary school textbooks of 7th Korea National Curriculum. 2. The textbooks of grade 6 contain the most number of EE contents, while the least number is in the textbooks of grade 3. 3. The subject that includes EE contents equally in its textbooks is social studies, and the subjects that relate a lot to EE are Korean language, science, and social studies respectively. 4. The content areas that are included a lot in textbooks are' natural environment', 'pollution', and' environmental conservation' respectively, while the contents of 'population','industrialization', 'ESSD' are included to a lesser degree. The content area most frequently mentioned in the textbooks is 'pollution', and the number of the contents are increasing along with the grade level. 5. Generally, the content areas of 'population', 'industrialization', and 'natural resources' are reflected in the textbooks to a lesser degree than others. 'Industrialization' is not included in the textbooks of grade 2, while 'population' is not included in ones of grade 4. According to the result, more concern about balanced EE in content areas is needed at the elementary school level. Similar studies tot K and secondary school levels are needed. The developmental study of EE guide book and teacher training for teaching EE using the book are also recommended.

• 실천공학교육논문지
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• 제13권2호
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• pp.293-300
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• 2021

이 연구는 테크놀로지 교수 내용 지식(TPACK)에 대한 예비 교사의 인식을 측정하기 위해 실시되었다. 충청북도에 위치한 A대학교의 재학생 307명이 테크놀로지 교수 내용 지식(TPACK) 척도에 응답한 결과를 분석에 활용하였다. 분석 과정에서 IBM SPSS 21 프로그램을 사용하였으며, 독립표본 t검증, 일원변량분석, 중다회귀분석(Enter 방식)을 실시하였다. 연구 결과는 다음과 같다. 첫째, 성별에 따른 평균 차이 분석 결과, 교수 지식(PK), 교수 내용 지식(PCK), 테크놀로지 교수 지식(TPK), 테크놀로지 교수 내용 지식(TPACK)에서 여학생 평균이 남학생보다 높게 나타났다. 둘째, 학년별 평균 차이 분석 결과, 내용 지식(CK)의 경우 1학년, 3학년과 4학년의 평균이 2학년보다 통계적으로 유의한 수준에서 높게 나타났다. 셋째, 테크놀로지 교수 내용 지식(TPACK)에 대해 β값이 교수 지식(PK)은 .11, 교수 내용 지식(PCK)은 .11, 테크놀로지 교수 지식(TPK)은 .715로써 통계적으로 유의한 예측 변인으로 나타났다. 끝으로 연구 결과를 바탕으로 TPACK 실행 매뉴얼 및 워크북 개발과 다양한 테크놀로지 실습 기회 제공 등의 논의점을 제시하였다.

• 펄프종이기술
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• 제41권4호
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• pp.33-42
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• 2009

This study was performed to evaluate the hexavalent chromium content in flexography inks and organic pigments used as colorants for the ink. The digestion of sample was carried out under alkaline condition, and the content of soluble hexavalent chromium extracted from samples was determined by UV-visible colorimetric analysis method after alkaline digestion. Duplicate sampling system to obtain two digested samples, was applied in this study. To determine the hexavalent chromium content in the flexography ink and organic pigment colorimeteric analysis was employed. Because the organic pigment is the main ingredient of flexography ink it is important to remove the errors associated with the colorant of the ink in colorimetric determination. The duplicate sampling system allowed us to correct the errors associated with the colorimeteric measurement. The additional filtration was found an essential step to exclude colorimeteric error derived from the various precipitates. The soluble hexavalent chromium content in flexography inks was generally less than 5 ppm. Yellow, violet and some magenta colors showed higher soluble hexavalent chromium contents. The content of hexavalent chromium in organic pigments was greater than flexography inks, and yellow, violet and some magenta pigments contained greater amount of hexavalent chromium, which indicated that the hexavalent chromium in inks derives from the colorants. The soluble hexavalent chromium content in linerboards were below 1 ppm, and no hexavalent chromium was detected in UKP. Results suggested that flexography ink is the main factor to cause hexavalent chromium in linerboard and organic pigments.

• 한국학교수학회논문집
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• 제23권4호
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• pp.427-448
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• 2020

본 연구는 정규분포에 관한 예비 수학교사의 수학교수지식(Mathematical Knowledge for Teaching)을 수학교수지식의 하위 요소 간 비교 분석을 통해 확인하고, 예비 수학교사의 수학교수지식의 하위 요소 간 차이가 발생하는 것을 확인해 보고자 한다. 이를 위해 예비 수학교사 24명을 대상으로 정규분포에 관한 MKT 검사지를 제작하여 검사를 실행하여 자료를 수집하였다. MKT 검사지 분석 결과 예비 수학교사의 일반 내용 지식(Common Content Knowledge)은 비교적 높은 점수의 결과로 확인된 것에 비해 특수 내용 지식(Specialized Content Knowledge)과 내용과 학생에 대한 지식(Knowledge of Content and Students)에 관한 결과는 비교적 낮은 점수로 볼 수 있었다. 또한, 이러한 결과를 통하여 예비 수학교사의 MKT의 차이가 발생하는가를 알아보고자 하였다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1521-1521
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• 2001

The objective of the research being presented was to construct and calibrate a spectrometer for the analysis of single kernels of corn. In light of the difficulties associated with capturing the spatial variability in composition of corn kernels by single-beam spectrometry, a hyperspectral imaging spectrometer was constructed with the intention that it would be used to analyze single kernels of corn for the prediction of moisture and oil content. The spectrometer operated in the range of 750- 1090 nanometers. After evaluating four methods of standardizing the output from the spectrometer, calibrations were made to predict whole-kernel moisture and oil content from the hyperspectral image data. A genetic algorithm was employed to reduce the number of wavelengths imaged and to optimize the calibrations. The final standard errors of prediction during cross-validation (SEPCV) were 1.22% and 1.25% for moisture and oil content, respectively. It was determined, by analysis of variance, that the accuracy and precision of single-kernel corn analysis by hyperspectral imaging is superior to the single kernel reference chemistry method (as tested).

• 한국정보통신학회논문지
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• 제24권12호
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• pp.1567-1573
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• 2020

인터넷 기술의 발전으로 1인 미디어 시대로 도래했다. 한 개인이 스스로 콘텐츠를 제작하여 관련 온라인 서비스로 업로드 하고, 많은 사용자가 온라인 서비스의 콘텐츠를 인터넷을 이용할 수 있는 장치(PC, 스마트폰, 스마트TV 등)를 이용해 시청하고 있다. 현재 대부분 사용자가 기존 온라인 서비스에서 제공하는 검색기능을 통해 원하는 콘텐츠를 찾아서 시청하고 있다. 이러한 기능은 콘텐츠를 업로드 한 사용자가 입력한 정보를 바탕으로 제공된다. 이러한 제한된 단어 데이터를 바탕으로 콘텐츠를 검색해야 하는 환경에서 잘못된 정보가 있는 경우 검색 결과의 유사도 효율 저하와 잘못된 결과를 사용자에게 제시한다. 이를 해결하기 위해 본 논문에서는 온라인 서비스에서 콘텐츠 정보를 시스템이 능동적으로 영상을 분석하고, 영상이 보유한 특성을 추출해 반영하는 방법을 제시한다. 한 동영상의 음성데이터를 근거한 스토리 내용을 근거로 형태소를 추출해 빅데이터 기술로 분석하기 위한 연구 내용을 다룬다.

• Fashion, Industry and Education
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• 제16권1호
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• pp.46-55
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• 2018

The purpose of this exploratory study was to enhance the understanding of how brands tilize emojis in their marketing practices. A content analysis was conducted utilizing Google News as a search tool to access articles containing information pertaining to the use of emojis by brands. The combination of keywords used for the search were "emoji", "business", and "marketing". The search was narrowed down to the period of January $1^{st}$, 2014 - November $29^{th}$, 2017. This method generated a total of 604 trade publications with 55 of them providing information pertaining to specific brands and their use of emojis in their marketing strategies. A content analysis of trade publications has revealed that a variety of marketers have utilized emojis in their brand marketing practices. The entertainment, service, and food/drink industries have predominantly utilized emojis in their marketing practices, and their primary purpose for using emojis was to increase consumer engagement. Brands applied most of these emoji marketing strategies to an online or digital setting, whether it was social media pages, mobile applications, or any other form of computer-based marketing. Although there are limitations to this exploratory research in terms of its methodology, the findings of this study provide interesting insights into the potential of emojis as a marketing tool.

• Food Science and Biotechnology
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• 제18권1호
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• pp.60-65
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• 2009

Near infrared reflectance spectroscopy (NIRS) was used as a rapid and non-destructive method to determine the protein content in intact and ground seeds of pea (Pisum sativum L.) germplasms grown in Korea. A total of 115 samples were scanned in the reflectance mode of a scanning monochromator at intact seed and flour condition, and the reference values for the protein content was measured by auto-Kjeldahl system. In the developed ground and intact NIRS equations for analysis of protein, the most accurate equation were obtained at 2, 8, 6, 1 math treatment conditions with standard normal variate and detrend scatter correction method and entire spectrum (400-2,500 nm) by using modified partial least squares regression (n=78). External validation (n=34) of these NIRS equations showed significant correlation between reference values and NIRS estimated values based on the standard error of prediction (SEP), $R^2$, and the ratio of standard deviation of reference data to SEP. Therefore, these ground and intact NIRS equations can be applicable and reliable for determination of protein content in pea seeds, and non-destructive NIRS method could be used as a mass analysis technique for selection of high protein pea in breeding program and for quality control in food industry.