• Title/Summary/Keyword: 형식 분류

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Improvement of Performance Test Standards for Marine Pollution Prevention Materials and Chemicals (for Eco-toxicity Test) (해양오염방제 자재·약제의 성능시험기준 개선방안에 관한 연구(생태독성시험 항목))

  • Kim, Tae Won;Lee, Su Jin;Kim, Young Ryun;Lee, Moon Jin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.6
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    • pp.744-753
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    • 2021
  • This study suggests ways to improve the standard test method and judgment criterion for the "Eco-toxicity Test" based on the rules and regulations provided in 'performance and qualifying test standards for marine pollution prevention materials and chemicals' in the Republic of Korea. Compared with the relevant references of other countries, this study attempted to find the limitations in the existing standards. As for the growth inhibition test of algae using Skeletonema costatum as an indicator, applying comparative analysis to measure specific growth rates, together with statistical analysis, instead of applying current methods, judged by the appearance of colors from the culture medium was suggested. Considering the exponential growth phase of the test species, the test duration was suggested to be reduced to less than four days. For the test with fish as an indicator, resetting the appropriate body size was suggested to, show consistent sensitivity against chenicals applied during testing. Furthermore, it is necessary to consider the criteria needs, which should be established in reasonable and objective ways. For the testing species, marine rotifer, Brachionus plicatilis could be a replacement for Artemia sp., and a bivalve for fish in the test. To improve the performance effectiveness of the "Eco-toxicity test", it is worth considering the designation of accredited testing institutes, by placing it in the same loop. Thus it is also expected to have a reliable management system in place, having the capacity of cost calculation properly and adjusting testing items if required.

A Study on the Effectiveness of Rehabilitation by Virtual Reality Program: Systematic Review (가상현실 프로그램을 사용한 재활치료의 효과성 연구: 체계적 고찰)

  • Park, Da-Sol;Shin, Ga-In;Woo, Ye-Shin;Park, Hae Yean
    • 재활복지
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    • v.22 no.3
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    • pp.209-224
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    • 2018
  • The purpose of this study is to provide a basic data about the virtual reality rehabilitation therapy to the occupational therapist in the domestic clinical field by systematically analyzing the types and effects of the rehabilitation therapy using the virtual reality program. Research articles were retrieved from January 2007 to December 2017 using the Research Information Sharing Service (RISS), Google Scholar, and Pubmed database. The main search terms were 'Virtual Reality AND Rehabilitation' and 'Virtual reality AND Effect'. Finally, 10 foreign studies were selected as the subjects of this study. Selected studies were organized using PICO (Patient, Intervention, Comparison, Outcome) format. The results were as follows: The subjects were divided into 4 types, stroke, brain tumor, Parkinson 's disease, and kidney disease. The tools used for arbitration were three IREX (30 %), two X-box Kinect (20 %), two Nintendo Wii (20 %), one [Existing tool + VR] (10 %), one [Mobile application + VR] (10 %). As a result of the intervention, improvement of function was observed in all 10 studies from overseas, and physical function was 24 times (66 %), mental function 6 times (17 %), cognitive function 5 times (14 %), Activity of daily living 1 time (10 %). this study could be used as a basic resource to enhance the professionalism and quality of rehabilitation services and expand the scope by organizing virtual reality-based rehabilitation and its effects.

Influence of roadside buildings on the noise in the backside blocks in city area (도시내 가로변 빌딩이 도로 이면지역의 소음에 미치는 영향)

  • Kim, Yong-Seong;Haan, Chan-Hoon
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.3
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    • pp.352-362
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    • 2019
  • The old residences and shops in the backside blocks are affected by the traffic noises from the main road. The noise of the backside roads is affected by the following factors such as the height of the roadside buildings, the distance between the road and the backside streets, distance among adjacent roadside buildings, and the difference of the adjacent building heights. The both noise levels on the road and the backside street were measured simultaneously in 15 urban blocks of a city which can be categorized into two types of roadside building plans ; 1) one single building along the street, 2) buildings arranged on one axis beside the road. As the results, there is no significant noise reduction due to the width of the buildings in general. However, in the cases of buildings arranged on one axis beside the road, it was found that the average noise reduction was 12 dB(A) on the basis of the building height of 4 m. Also, it was analysed that for each 4 m increase in the building height, noise reduction occurred by 2 dB(A) beyond building height of 4 m. In general, it was proved that the noise of the back streets is mainly affected by the lowest height of the roadside buildings. It was found that noise is increased by 1 dB(A) for each 4 m increase of the height difference between adjacent buildings. Also, It was revealed that for each 0.5 m increase in the distance between roadside building, noise reduction decreased by 1 dB(A).

A Study on the Characteristics of Formal Expression of Atypical Buildings (비정형 건축물의 형태 표현특징에 관한 연구)

  • Jiang, Bo;Hong, Kwan-Seon
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.795-814
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    • 2021
  • With the development of science and technology in recent years, various types of unstructured buildings have begun to be implemented by combining traditional architectural styles with digital tools, which are significantly different from conventional formal buildings. Designers will use various methods or digital tools to complete the unstructured and freer architectural forms when building an unstructured building. Based on this background, the need for research on the criteria for evaluating the characteristics of unstructured architectural forms is raised. First, the text was reconstructed by considering and integrating the elements of the unstructured exterior form based on prior research, with the external form of the unstructured building as the main research object. Second, the purpose of this study was to classify various types of unstructured forms and to provide important basic data for designing digital processes of unstructured architectural forms.Third, from 2000 to 2020, the text focused on the study of unstructured buildings and conducted in-depth analysis of the characteristics of their form expressions. While providing a case basis for the study of related fields, distribution laws and presence values related to the characteristics of unstructured buildings were sought. In addition, the analysis was conducted in combination with the distribution of functional use of buildings, and this study is differentiated from the existing research in that the atypical form is applied to the buildings by use, and the application trend of this type is understood to enhance understanding of the atypical form of buildings.

Exploring Learning Effects of Elementary Students in a Geological Field Trip Activity concerning 'Minerals and Rocks' - Focus on Novelty Space - ('광물과 암석' 관련 야외지질학습에서 초등학생들의 학습 효과에 대한 탐색 - 생소한 경험 공간을 중심으로 -)

  • Choi, Yoon-Sung;Kim, Jong-Uk
    • Journal of the Korean earth science society
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    • v.43 no.3
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    • pp.430-445
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    • 2022
  • The purpose of this study was to explore the learning effects in elementary school students who participated in a geological field trip conducted under the theme 'minerals and rocks', focusing on novelty space. A total of 10 sixth-grade students participated in this program held at a public elementary school in Seoul as part of after-school club activities. Students observed mineral and rock samples in a classroom and outdoor learning environment. The authors collected activity papers (texts, drawing), researchers' participation notes, video and audio recordings containing the study participants' activities, and post-interview data To analyze the learning effects in the cognitive domain of students, the observation analysis framework for rock classification of Remmen and Frøyland (2020) and the rock description analysis framework of Oh (2020) were used. Additionally, to explore the learning effects of psychological and geographic areas, students' drawings, texts, discourses, and interview data were inductively analyzed. The results showed that the students demonstrated 'everyday' and 'transitional' observations in the classroom learning environment, while in the outdoor learning environment (school playground, community-based activities), they demonstrated 'transitional' and 'scientific' observations. Moreover, as the scientific observation stage progressed, more types of descriptive words for rocks were used. In terms of psychological and geographic aspects, students showed their selection of places to explore familiar outdoor learning environments, positive perceptions of outdoor learning, and aesthetic appreciation. Finally, this study not only discussed novelty space as a tool for analyzing students' learning effects but also suggested the need for an academic approach considering new learning environments, such as learning through virtual field trips.

Determination of Fire Risk Assessment Indicators for Building using Big Data (빅데이터를 활용한 건축물 화재위험도 평가 지표 결정)

  • Joo, Hong-Jun;Choi, Yun-Jeong;Ok, Chi-Yeol;An, Jae-Hong
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.3
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    • pp.281-291
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    • 2022
  • This study attempts to use big data to determine the indicators necessary for a fire risk assessment of buildings. Because most of the causes affecting the fire risk of buildings are fixed as indicators considering only the building itself, previously only limited and subjective assessment has been performed. Therefore, if various internal and external indicators can be considered using big data, effective measures can be taken to reduce the fire risk of buildings. To collect the data necessary to determine indicators, a query language was first selected, and professional literature was collected in the form of unstructured data using a web crawling technique. To collect the words in the literature, pre-processing was performed such as user dictionary registration, duplicate literature, and stopwords. Then, through a review of previous research, words were classified into four components, and representative keywords related to risk were selected from each component. Risk-related indicators were collected through analysis of related words of representative keywords. By examining the indicators according to their selection criteria, 20 indicators could be determined. This research methodology indicates the applicability of big data analysis for establishing measures to reduce fire risk in buildings, and the determined risk indicators can be used as reference materials for assessment.

Development of a Web-based Presentation Attitude Correction Program Centered on Analyzing Facial Features of Videos through Coordinate Calculation (좌표계산을 통해 동영상의 안면 특징점 분석을 중심으로 한 웹 기반 발표 태도 교정 프로그램 개발)

  • Kwon, Kihyeon;An, Suho;Park, Chan Jung
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.10-21
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    • 2022
  • In order to improve formal presentation attitudes such as presentation of job interviews and presentation of project results at the company, there are few automated methods other than observation by colleagues or professors. In previous studies, it was reported that the speaker's stable speech and gaze processing affect the delivery power in the presentation. Also, there are studies that show that proper feedback on one's presentation has the effect of increasing the presenter's ability to present. In this paper, considering the positive aspects of correction, we developed a program that intelligently corrects the wrong presentation habits and attitudes of college students through facial analysis of videos and analyzed the proposed program's performance. The proposed program was developed through web-based verification of the use of redundant words and facial recognition and textualization of the presentation contents. To this end, an artificial intelligence model for classification was developed, and after extracting the video object, facial feature points were recognized based on the coordinates. Then, using 4000 facial data, the performance of the algorithm in this paper was compared and analyzed with the case of facial recognition using a Teachable Machine. Use the program to help presenters by correcting their presentation attitude.

The Forming Mechanism of Brain Text and Brain Concept in the Theory of Ethical Literary Criticism (뇌텍스트(Brain Text) 및 뇌개념(Brain Concept)의 형성원리와 문학윤리학비평)

  • Nie, Zhenzhao;Yoon, Seokmin
    • Journal of Popular Narrative
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    • v.25 no.1
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    • pp.193-215
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    • 2019
  • According to ethical literary criticism, every type of literature has its text. The original definition of oral literature refers to the literature disseminated orally. Before the dissemination, the text of oral literature is stored in the human brain, which is termed as "brain text". Brain text is the textual form used before the formation of writing symbols and its application to a recording of information, and it still exists after the creation of writing symbols. Other types of texts are written text and electronic text. Brain text consists of brain concepts, which, according to different sources, can be divided into objective concepts and abstractive concepts. Brain concepts are tools for thinking while thought comes from thinking with understanding and an application of brain concepts. Brain text is the carrier of thought. The termination of the synthesis of brain concepts signifies the completion of thinking, which produces thoughts to form brain text. Brain text determines thinking and behavioral patterns that not only communicate and spread information, but also decide our ideas, thoughts, judgments, choices, actions and emotions. Brain text is also a deciding factor for our lifestyle and moral behaviors. The nature of a person's brain text determines his thoughts and actions, and most importantly determines who he is.

A Study on Dataset Generation Method for Korean Language Information Extraction from Generative Large Language Model and Prompt Engineering (생성형 대규모 언어 모델과 프롬프트 엔지니어링을 통한 한국어 텍스트 기반 정보 추출 데이터셋 구축 방법)

  • Jeong Young Sang;Ji Seung Hyun;Kwon Da Rong Sae
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.11
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    • pp.481-492
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    • 2023
  • This study explores how to build a Korean dataset to extract information from text using generative large language models. In modern society, mixed information circulates rapidly, and effectively categorizing and extracting it is crucial to the decision-making process. However, there is still a lack of Korean datasets for training. To overcome this, this study attempts to extract information using text-based zero-shot learning using a generative large language model to build a purposeful Korean dataset. In this study, the language model is instructed to output the desired result through prompt engineering in the form of "system"-"instruction"-"source input"-"output format", and the dataset is built by utilizing the in-context learning characteristics of the language model through input sentences. We validate our approach by comparing the generated dataset with the existing benchmark dataset, and achieve 25.47% higher performance compared to the KLUE-RoBERTa-large model for the relation information extraction task. The results of this study are expected to contribute to AI research by showing the feasibility of extracting knowledge elements from Korean text. Furthermore, this methodology can be utilized for various fields and purposes, and has potential for building various Korean datasets.

Study on Establishment of a Monitoring System for Long-term Behavior of Caisson Quay Wall (케이슨 안벽의 장기 거동 모니터링 시스템 구축 연구 )

  • Tae-Min Lee;Sung Tae Kim;Young-Taek Kim;Jiyoung Min
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.5
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    • pp.40-48
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    • 2023
  • In this paper, a sensor-based monitoring system was established to analyze the long-term behavioral characteristics of the caisson quay wall, a representative structural type in port facilities. Data was collected over a period of approximately 10 months. Based on existing literature, anomalous behaviors of port facilities were classified, and a measurement system was selected to detect them. Monitoring systems were installed on-site to periodically collect data. The collected data was transmitted and stored on a server through LTE network. Considering the site conditions, inclinometers for measuring slope and crack meters for measuring spacing and settlement were installed. They were attached to two caissons for comparison between different caissons. The correlation among measured data, temperature, and tidal level was examined. The temperature dominated the spacing and settlement data. When the temperature changed by approximately 50 degrees, the spacing changed by 10 mm, the settlement by 2 mm, and the slope by 0.1 degrees. On the other hand, there was no clear relationship with tidal level, indicating a need for more in-depth analysis in the future. Based on the characteristics of these collected database, it will be possible to develop algorithms for detecting abnormal states in gravity-type quay walls. The acquisition and analysis of long-term data enable to evaluate the safety and usability of structures in the event of disasters and emergencies.