• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 가을 학술논문 발표대회
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• pp.8-9
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• 2021

The unit-water content of concrete is one of the important factors in determining the quality of concrete and is directly related to the durability of the construction structure, and the current method of measuring the unit-water content of concrete is applied by the Air Meta Act and the Electrostatic Capacity Act. However, there are complex and time-consuming problems with measurement methods. Therefore, high frequency moisture sensor was used for quick and high measurement, and unit-water content of mortar was evaluated through machine running and deep running based on measurement big data. The multi-input deep learning model is as accurate as 24.25% higher than the OLS linear regression model, which shows that deep learning can more effectively identify the nonlinear relationship between high-frequency moisture sensor data and unit quantity than linear regression.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2701-2717
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• 2023

In this paper, a hybrid fuzzy-based method is suggested for determining India's best system for power generation. This suggested approach was created using a fuzzy-based combination of the Giza Pyramids Construction (GPC) and Recalling-Enhanced Recurrent Neural Network (RERNN). GPC is a meta-heuristic algorithm that deals with solutions for many groups of problems, whereas RERNN has selective memory properties. The evaluation of the current load requirements and production profile information system is the main objective of the suggested method. The Central Electricity Authority database, the Indian National Load Dispatch Centre, regional load dispatching centers, and annual reports of India were some of the sources used to compile the data regarding profiles of electricity loads, capacity factors, power plant generation, and transmission limits. The RERNN approach makes advantage of the ability to analyze the ideal power generation from energy data, however the optimization of RERNN factor necessitates the employment of a GPC technique. The proposed method was tested using MATLAB, and the findings indicate that it is effective in terms of accuracy, feasibility, and computing efficiency. The suggested hybrid system outperformed conventional models, achieving the top result of 93% accuracy with a shorter computation time of 6814 seconds.

• 동아시아경상학회지
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• 제11권4호
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• pp.11-18
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• 2023

Purpose - By filling the existing research hole and supplying a whole evaluation, this test wants to offer actionable insights for stakeholders navigating the intersection of sustainability and financial prosperity. Ultimately, this study contributes to the evolving speak on ESG, fostering a deeper comprehension of its implications for fostering sustainable economic increase. Research design, data, and methodology - Based on the numerous prior literature, the current study adopts a rigorous and systematic approach to discover the connection between Environmental, Social, and Governance (ESG) performance and its effect on a financial boom. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method is the guiding framework for systematically accumulating and analyzing earlier research studies. Result: The finding of this study indicates that using ESG-pushed innovation, practitioners can force technological advancements inside their respective industries. By combining sustainability with research and improvement tasks, corporations can be leaders in selling economic boom through current, green solutions. Conclusion - In summary, this study concludes that embracing those findings in this study allows practitioners and managers to enhance their organization's easy regular, well-known traditional regular standard overall performance and undoubtedly contribute to a broader financial boom via leveraging the transformative strength of ESG necessities.

• 유통과학연구
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• 제22권3호
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• pp.93-104
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• 2024

Purpose: Using green supply chain management (GSCM), the current study focuses on the fashion design industry as a central player in promoting an eco-conscious consumption culture by creating awareness of the need to produce and consume eco-friendly fashion products instead of only capitalizing on the shifting consumer tastes, preferences, and expectations. Research design, data and methodology: This study selected a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist as a research methodology. The purpose is the detailed and disinterested evaluation of all the published information related to the topic of the research. Results: This study suggests brief solutions of the GSCM based on the five categories of sustainable fashion activities that contribute to the development of eco-friendly fashion designs and marketing strategies. This strategy employed by firms to promote sustainable production and consumption is a major factor in enhancing consumers' environmental awareness. Conclusions: The study delves into how brands in the fashion design industry provide a platform for collective action by investing in educational campaigns and transparent communication, collaborating with various stakeholders to maximize awareness of the need for eco-conscious consumption and the availability of green fashion products. Practitioners should consider developing a comprehensive framework to assess the feasibility of different awareness strategies and purchase stimulation approaches.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.215-225
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• 2024

Predictive maintenance has been considered fundamental in the industrial applications in the last few years. It contributes to improve reliability, availability, and maintainability of the systems and to avoid breakdowns. These breakdowns could potentially lead to system shutdowns and to decrease the production efficiency of the manufacturing plants. The present article aims to study how predictive maintenance could be planed into the production scheduling, through a systematic review of literature. . The review includes the research articles published in international journals indexed in the Scopus database. 165 research articles were included in the search using #predictive maintenance# AND #production scheduling#. Press articles, conference and non-English papers are not considered in this study. After careful evaluation of each study for its purpose and scope, 50 research articles are selected for this review by following the 2020 Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) statement. A benchmarking of predictive maintenance methods was used to understand the parameters that contributed to improve the production scheduling. The results of the comparative analysis highlight that artificial intelligence is a promising tool to anticipate breakdowns. An additional impression of this study is that each equipment has its own parameters that have to be collected, monitored and analyzed.

• 한국산학기술학회논문지
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• 제16권7호
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• pp.4999-5008
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• 2015

제약조건이 있는 공학 최적화 문제에서 보다 좋은 결과를 얻기 위해서는 효율적인 제약조건 처리기법의 적용은 필수적이다. 본 연구에서는 네 가지의 제약조건 처리기법을 적용하여 메타휴리스틱 최적화 기법으로 널리 사용되고 있는 Harmony Search 알고리즘의 최적화 효율성을 평가하였다. 평가를 위해 대표적인 이산형 최적화 문제 중 하나인 상수관로 최소비용설계 문제를 적용하였다. 적용결과 전통적인 제약조건 처리방법으로 사용되던 벌칙함수에 비해 제안된 제약조건 처리기법의 결과가 효율적임을 확인하였다. 특히, ${\varepsilon}$-Constrained Method의 경우 기존방법에 비하여 효율적이고 안정적인 결과를 도출하였다. 제안된 방법은 새로운 최적화 알고리즘의 개발 필요 없이 HS의 성능을 증가시킬 수 있다는 점에서 의의가 있다고 판단된다. 또한 400개 이상의 결정변수를 가지는 대규모 문제의 적용을 통하여, 제안된 방법이 대규모 공학 최적화 문제에서도 활용이 가능함을 확인하였다.

• 한국학교수학회논문집
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• 제17권1호
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• pp.23-43
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• 2014

TIMSS와 PISA의 두 국제평가에서 우리나라 학생들의 경우, 수학 교과에 대한 인지적 영역의 성취도는 매우 우수한 반면 정의적 영역의 성취도는 참가국 중 최하위권의 순위를 기록하여 우리나라 교육의 문제점을 드러내고 있다. 이즈음에, 우리나라 학생들이 취약한 정의적 특성 요인의 함양 방안을 모색해 보는 것은 의미 있은 일일 것이다. 이러한 취지하에, 한국교육과정평가원에서는 PISA와 TIMSS 두 국제평가에 공통적으로 포함되어 있는 우리나라 학생들의 수학 학습에 대한 흥미와 자아효능감, 그리고 수학에 대한 가치 인식의 정의적 특성 요인을 대상으로, PISA와 TIMSS 결과에 나타난 우리나라 학생의 정의적 특성의 성취 실태 및 사례를 파악하여 이의 실천적 함양 방안을 모색해 보고자 하였다(최승현 외, 2013). 본고에서는 PISA와 TIMSS에 관한 선행 연구 재분석 및 통계 분석 결과를 중심으로 이에 초점을 두어 수학 교과에서의 우리나라 학생의 정의적 성취 실태를 탐색하고자 하였다.

• 한국항행학회논문지
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• 제17권1호
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• pp.39-46
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• 2013

비정상적인 시스템 종료로 인해 파일 시스템이 손상되었을 경우 시스템은 fsch을 이용하여 일관성 검사를 수행하며 이는 오랜 시간이 소요된다. 특히 대용량의 파일 시스템인 경우에는 상당한 시간이 걸린다. 저널링 기법을 이용한 저널링 파일 시스템은 메타 데이터를 이용하기 때문에 복구 시간을 상당히 단축시킬 수 있으며, 복구시 복구 확률도 높일 수 있다. 본 논문의 목적은 현재 리눅스에서 사용되고 있는 저널링 파일 시스템을 커널 기반의 벤치 마킹 도구인 Iozone을 사용하여 파일의 read, write 중심으로 성능을 비교평가하는 것이다. 본 논문에서는 현재 리눅스의 기본 파일 시스템인 Ext4 파일 시스템이 파일 읽기 성능이 경우 XFS 파일 시스템보다 1.28배, 파일의 쓰기 성능의 경우 Ext3 보다 1.22배 빠르게 전송되었다.

• 한방재활의학과학회지
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• 제26권2호
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• pp.61-74
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• 2016

Objectives The purpose of this research is to investigate recent clinical studies of Temporomandibular Joint Disorder in China. Methods We investigated recent clinical studies of Oriental Medicine therapies in traditional Chinese medical journals for Temporomandibular Joint Disorder through CNKI search. 20 clinical articles published from 2010 to 2015 were analyzed. This study examined the authors, published years, types of study designs, criteria for diagnosis and evaluation, periods, purposes of study and classified articles by techniques of treatment. Results Most of articles were classified as RCT. TMD was diagnosed by symptoms in a high proportion of articles. The criteria for evaluation that most frequently used were grading scale, but there was a lack of objectivity. The techniques of treatment were Tuina, acupuncture, herb medicine, electrotherapy, splint, PNF, congnitive behavior therapy, laser therapy, magnetic therapy. Conclusions In order to develop treatment of TMD in the Korean medicine, clinical studies for various therapies on a high level and cooperative studies between medical communities are needed.

• 한국정보통신학회논문지
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• 제18권4호
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• pp.992-999
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• 2014

단백질이 존재하는 세포내의 다중 위치를 정확하게 예측하기 위하여 다중레이블 학습 방법을 광범위하게 비교한다. 이를 위하여 다중레이블 분류의 접근 방법인 알고리즘 적응, 문제 변환, 메타 학습의 여러 방법을 비교 평가한다. 다양한 관점에서 다중레이블 분류 방법의 특성을 평가하기 위하여 12가지 평가 척도를 사용하였고, 최적의 성능을 보이는 방법을 찾기 위하여 새로운 요약 척도를 사용하였다. 비교 실험 결과, 흔하지 않은 다중레이블 집합을 가지치기 하는 멱집합 방법과, 관련 레이블들을 추가된 특징으로 나타내는 분류기-체인 방법의 성능이 높았다. 또한, 이들 방법들로 구성된 여러 개의 분류기를 조합하면 더욱 성능이 향상되었다. 즉, 세포내 위치간의 연관관계를 사용하는 것이 예측에 효과적인데, 특정 생물학적 기능을 수행하는 단백질의 세포내 위치들의 관계는 독립적이지 않고 서로 관련되어 있기 때문이라 판단된다.