• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.7-13
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• 2018

The strength of concrete is affected significantly not only by the internal influence factors of cement, water, sand, aggregate, and admixture, but also by the external influence factors of concrete placement delay and curing temperature. The objective of this research was to predict the concrete strength considering both the internal and external influence factors when concrete is placed at the construction site. In this study, a concrete strength test was conducted on the 24 combinations of internal and external influence factors, and a neural network model was constructed using the test data. This neural network model can predict the concrete strength considering the external influence factors of the concrete placement delay and curing temperature when concrete is placed at the construction site. Contractors can use the concrete strength prediction neural network model to make concrete more robust to external influence factors during concrete placement at a construction site.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.29-40
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• 2007

The purpose of this research is to propose a method for scoring the quality of a fingerprint image using the local information derived from the fingerprint image. In previous works for the quality measuring, most of the quality scores are related to the performance of a matching algorithm, and this makes the quality result more subjective. The quality score of a fingerprint image proposed in this work is sensor-independent, source-independent and matcher-independent one, and this concept of fingerprint sample quality results in effective improvement of the system performance. In this research, a new definition of fingerprint image quality and a new method for measuring the quality are proposed. For the experiments, several sub-databases from FVCs are used and the proposed method showed reasonable results for the test database. The proposed method can be used in various systems for the numerous purposes since the quality scores generated by the proposed method are based on the idea that the quality of fingerprint should be sensor-independent, source-independent and matcher-independent.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.4
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• pp.91-103
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• 2006

This paper proposes a methodology to evaluate the quality and level of difficulty of fingerprint image databases, which leads to objective evaluation for the performance of fingerprint recognition system. Influencing factors to fingerprint matching are defined and the matching performance between two fingerprint images is evaluated using segmentation and orientation filed. In this study, a hierarchical processing method is proposed to measure an orientation field, which is able to improve the matching speed and accuracy. The results of experiments demonstrate that the defined influencing factors can describe the characteristics of fingerprint databases. Level of difficulty for fingerprint databases enables the performance of fingerprint recognition algorithms to be evaluated and compared even with different databases.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.65-77
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• 2022

Schedule management is one of pivotal project success factors during construction projects. However, there are many difficulties in rapid scheduling and controlling since the existing planning techniques require considerable amount of manual work and manager's judgment in a construction project. This research aims to propose a new scheduling method and algorithm for automating and visualizing the planning process, which is called Countable-grid scheduling method. In this method, if the scope of work is defined via a visualized tool, the schedule plan is created automatically according to the productivity and workable conditions of each activity. The location of the work for each date can be visualized in grid-based approach. Moreover, the work schedule can be updated automatically according to the progress. The industrial applicability of the proposed method was verified in construction projects via case study with sample data. This research can contribute to the construction industry by automating the construction schedule management process.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.21-30
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• 2009

Semantic web uses ontology languages such as RDF, RDFS, and OWL to define the metadata on the web. There have been many researching efforts in the semantic web technologies based on an agent for extracting triple and relation about concept of ontology. But the extraction of relation and triple about the concept of ontology based on an agent ends up writing a limited query statement as characteristics of an agent. As for this, there is the less of flexibility when extracting triple and relation about the other concept of ontology. We are need a query tool for flexible information retrieval of ontology that is can access the standard ontology and can be used standard query language. In this paper, we propose a SPARQL query tool that is can access the OWL ontology via HTTP protocol and it can be used to make a query. Query result can be output to the soap message. These operations can be support the web service.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.121-127
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• 2023

The purpose of this pilot study is to examine the responses of middle school students to English learning after conducting English writing activities using DALL-E2, an image-generating artificial intelligence tool. To this end, an experimental class was conducted for 3 weeks for 15 middle school English learners, and the results are summarized as follows. First, as a result of a survey on English writing activities using DALL-E2, it was found that confidence, interest, and awareness of writing using artificial intelligence-based tools changed positively. In addition, it was confirmed that there was a statistically significant difference, which meant that learning using artificial intelligence had a positive effect on English writing and overall English learning. Second, as a result of analyzing the English writing activities using DALL-E2, core themes could be extracted into three (cognitive, affective, and psychodynamic characteristics), and the use and implementation of artificial intelligence-based DALL-E2 in English learning showed potential to increase learning interest, challenge, will, and desire in learning and ultimately contribute to enhancing productive skill.

• Journal of Korean Library and Information Science Society
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• v.54 no.3
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• pp.129-163
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• 2023

The purpose of this study is to identify reading competency and its components according to the concept of reading competency in order to strengthen the reading competency of children and adolescents with disabilities, develop diagnostic questions, and provide basic data for the development of a reading competency diagnostic tool for children and adolescents with disabilities, Research methods include literature research, brainstorming, delphi survey, and preliminary research. As a result of the study, the components of the reading competency diagnostic tool are broadly divided into 2 areas (affective domain, environmental domain), 4 categories (reading motivation, reading attitude, human environment, and physical environment), and a total of 13 components in each of the 4 categories (Reading interest, reading value, reading recognition, reading expectations, reading habits, reading efficacy, reading immersion, reading anxiety (avoidance), home/family, school/teacher, peers, reading environment, media environment) and the corresponding questions. was developed. Based on these results, a direction for developing a reading competency diagnostic tool for children and adolescents with disabilities was presented.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.4-4
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• 2022

앞으로 10년간 세계의 생물다양성 보전을 위한 유엔 생물다양성협약 당사국 총회가 2022년 12월 캐나다 몬트리올에서 열린다. 전 세계 전문가와 정책입안자들이 여러 내용을 다루지만 그중에서도 염기서열 정보에 관한 내용을 집중적으로 소개한다. 우선 생물다양성협약에서의 이익공유에 관한 내용은 북아시아 원산인 콩을 현재 대량으로 재배하고 수확하고 있는 미국, 브라질 등의 사례를 선별하여 소개한다. 이어서 생물다양성협약 체결 전후의 생물자원에 대한 인식 변화로 인해 국제적으로 합의한 나고야 의정서의 주요 핵심 내용을 발표한다. 그러나, 최근의 합성생물학은 유전정보만을 가지고 설계자의 의도대로 실물 생물자원 없이 새로운 생물과 원하는 물질을 합성할 수 있기에 국제적으로 마찰이 발생하고 있다. 유전공학과 합성생물학에서 가장 기본적으로 이용하고 있는 유전정보를 생물다양성협약에서는 어떻게 정의하고 있는지, 그리고 이익을 어떻게 공유하는지 알아본다. 생물자원 이용 국가들은 유전정보는 물리적인 실체가 없기에 이익공유대상이 아님을 주장하면서 유전정보는 원하는 누구에게나 이용되어야 한다고 보고 있다. 반면 생물자원 풍부국 입장은 생명과학기술 발전으로 인해 원산지 국가의 허가 없이 생물 유전정보를 활용하는 것은 생물 주권의 침해로 보고 있으며, 유전정보를 실물 생물자원과 동일하게 취급하여 나고야 의정서상의 이익공유를 요구하고 있다. 유전정보에 대한 대한민국의 공식적인 입장과 제 14차 협약 총회에서 합의한 결정문을 소개한다. 또한, 2019년 생물다양성과학기구(IPBES)에서 지구의 생물다양성과 생태계를 평가한 보고서에서 생물 멸종의 위협요인으로 제시된 토지이용 변화, 남획, 기후변화, 오염, 외래종에 대한 문제점을 기반으로 작성된 post-2020 생물다양성협약 10개년 실행 목표를 알아보고 2022년 12월 개최하는 제15차 당사국총회의 주요 의제에 대한 전망과 최근 문제가 되고 있는 '공동의 그러나 차별적인 책임(CBDR, Common But Differentiated Responsibility)'의 개념을 소개한다.

• Journal of The Korean Association For Science Education
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• v.28 no.5
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• pp.359-382
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• 2008

There are so many research literatures on conceptual change theory and the nature of concepts such as p-prims, mental model, ontological belief, and cognitive structure. Conceptual change means learning (Vosniadou, 1999; Duit;1999). It is necessary to review and elaborate existing conceptual change theories in order to explain the learning process and its implications. Therefore, we derived from reviewing literatures that learners construct new conceptual structure in response to given contexts at the same time activating their beliefs. We reviewed some mental theories that integrated cognitive and affective components and were based on framework/specific theory or information processing theory. We suggest learners' framework of conceptual structure and conflict model of conceptual structure. We expect to obtain effective ways of science teaching and learning and implications for cognitive conflict and conceptual change from using conceptual structure later.

• Journal of The Korean Association For Science Education
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• v.27 no.9
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• pp.796-808
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• 2007

There are various definitions of Science Culture nowadays. In this study we redefine Science Culture as a union between Science and Culture. We also develop the Framework of Science Culture Indicator (FSCI). which consists of five fields; History of Science, Philosophy of Science, Literature and Art of Science, Scientific Social Activity and Scientific Media. In this study we also investigated the level of the Science Culture of secondary school teachers, and compare them by teachers' majors: Science, Liberal Arts and Social Studies. To analyze the data, the Kruskal-Wallis Test is adopted. It is found that there are significant differences in the level of Science Culture by teachers' major, and the group of science teachers has the highest level of science culture.