• 제목/요약/키워드: Utility Factors

검색결과 532건 처리시간 0.029초

터널굴착용 투입형 연마재 워터젯 시스템의 연마재 투입량과 유동성에 미치는 영향 인자 (Influencing factors for abrasive flow rate and abrasive flow quality of abrasive injection waterjet systems for tunnel excavation)

  • 주건욱;오태민;조계춘
    • 한국터널지하공간학회 논문집
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    • 제16권4호
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    • pp.417-430
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    • 2014
  • 도심지 내 지하공간의 효율적인 활용을 위해서 연마재 워터젯 시스템(abrasive waterjet system)을 이용한 새로운 형태의 암반굴착 공법이 개발되어 활용 중에 있다. 연마재 워터젯 시스템을 활용한 굴착(절삭) 수행 시 적정량의 연마재를 투입하고 연마재입자의 유동성을 원활하게 유지하는 것은 매우 중요하다. 본 연구에서는 실내실험을 통해 연마재 입자의 유동성과 관련된 영향인자들을 연마재 관 설치높이, 연마재 관 길이, 연마재 관 굴곡도 그리고 연마재 관 내경으로 나누어 연마재 투입량 및 유동성 수준을 평가하였다. 또한, 실험결과를 바탕으로 연마재 투입량 및 연마재 입자 유동성에 관한 최적 조건을 제시하였다. 본 연구결과를 바탕으로 향후 암반 굴착용 워터젯 공법이 도심지 내 터널, 공동구, 수직구 건설 등 다양한 지반 구조물 굴착 작업 시, 최적 연마재 투입을 위한 기초자료로 유용하게 활용될 수 있을 것으로 기대된다.

친환경 건축물의 LCA 평가도구 비교분석 연구 (A Study on the Analysis of LCA tools for Eco-Building)

  • 손우진;강혜진;이언구
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2009년도 추계학술발표대회 논문집
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    • pp.394-399
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    • 2009
  • Since some decades ago, there has been a concern for resource depletion and environmental pollution associated with building properties. In addressing such impact of the built environment, there is a recognition of the existence of alternative building materials, fuels for energy supply as well as technologies for waste handling and disposal. Nevertheless, for long time, the choice between such alternatives was dictated by factors such as differences in prices and aesthetic values. A new important dimension in discriminating between different options is the environmental dimension. This aspect is important since buildings are one of the spatially big new additions to the natural environment that consume a lot of materials and energy during their long lifetime. Thus, with the environmental dimension kept in mind, a existing cost estimation needs to be changed. A new cost assessment method, Life Cycle Cost, should calculate overall costs with dimensional factors: investment and utility costs as well as maintenance costs over the lifetime of the building. Aiming to give an overview of the present status of Building Life Cycle Assessment(LCA) tools as a basis for further research and development including economic performance, this paper describes and compares 3 different tools for Life Cycle Assessment(LCA) and economic analysis of the green buildings. This paper compared these approaches based on various aspects. These include economic analysis method, evaluation duration, data of results(index). Use of the comparison analysis is to produce a better picture and indicate profits and shortcomings for the tools as a group; thus providing important direction improvement of LCA tool as well as further research and development of this group of tools.

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무선통신 및 위치인식 통합기술을 활용한 지하구조물 현장지원시스템 최적 요소기술 연구 (A Study on Optimal Technical Factors of USFSS Based on Integrated Technique of Wireless Communication and Location Awareness)

  • 장용구;정재형;이준우;김현수
    • 한국지리정보학회지
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    • 제12권4호
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    • pp.48-58
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    • 2009
  • 최근 들어, 건설시공에 있어서 현장 내 작업자의 안전관리는 중요하게 인식되고 있다. 특히, 터널, 공동구 등 지하구조물에서는 건설 중 붕괴사고가 빈번하게 발생하고 있어 그 중요성이 더욱 강조되고 있다. 하지만, 지하구조물의 특성상 유 무선 통신환경의 구현이 매우 어렵기 때문에 위험사고 발생 시 구조를 위한 현장투입요원과 구조자의 위치추적 및 음성통신이 어려워 구조작업에 많은 어려움이 발생하고 있다. 본 연구에서는 지하구조물 시공시 건설시공의 열악한 환경에 적합하고 작업자의 3차원 위치추적 및 통신 연락이 가능한 무선통신 및 위치인식 통합기술 기반의 지하구조물 현장지원시스템에 대한 최적의 요소기술을 도출하였다.

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AHP를 활용한 편의점 서비스 편의성의 상대적 중요도 연구 : 경영자와 소비자 간의 Gap Analysis (A Study on Relative Importance of Service Convenience in the Convenience Store Using AHP : Gap Analysis between Consumers and Store Owners)

  • 김기형;한상린;김주연
    • 산업경영시스템학회지
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    • 제42권3호
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    • pp.142-156
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    • 2019
  • [Purpose] It aims to suggest the differential factors to enhance the customer satisfaction and to activate the shopping in the convenience store (CVS). [Methodology] Convenience store service convenience (CVS SERVCON) was developed at the first time and the gap of relative importance level between the owners and the consumers was assessed by AHP analysis method..[Findings] First, the importance of access convenience was assessed as the first priority in both CVS owners' group and the consumers' group, while the detailed elements showed the differences which required the improvements. Based on the consumers' assessment, the importance of location was relatively low. They assessed relatively high on 24 hours operation of CVS and personal services. Second with respect to the transaction convenience, CVS owners' group rated it as the fourth priority while the consumers' group rated as the second, which requires the improvement. Third in terms of benefit utility and value-added service of post-benefit convenience which are the sub-factors of benefit convenience, the rate on the importance from the consumers showed higher than that from the owners, which requires the improvement. [Implications] Based on this study results, CVS operating companies are anticipated to be able to satisfy the customers, moreover, to secure the loyal customers if they concentrate the resources to develop the differentiation strategy on the areas where the consumers' demands are high while performs the maintenance strategy on the areas where their demands are low. In addition, this study contributed the theoretical expansion of SERVCON upon development of CVS SERVCON to comply with its definition.

ICT 스타트업 스케일업 성공요인 연구: ERIS 모델 적용 사례연구 (A Study on Scale-Up Success Factors for ICT Startups: A Case Analysis Using ERIS Model)

  • 황정섭;심다현;이정우
    • 디지털융복합연구
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    • 제19권4호
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    • pp.89-101
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    • 2021
  • 창업 초기 창업가의 역량이 미진하고, 자원이 풍부하지 않으면서 네트워크에 한계가 있는 스타트업은 지속적 스케일업이 어렵다. 본 연구는 ICT 스타트업 중에서 스케일업에 성공한 �� 스타트업을 사례로 선정하여 ERIS 모델을 기반으로 ICT 스타트업이 성공하는 첫 단계에서 발생하는 스케일업 과정에 대한 사례분석을 진행했다. 분석결과, 창업가의 경험적 역량, 다양한 산업 간의 지식의 융합, 공공기관 주도의 연구개발 과제의 참여, 고객과 기업간의 소통 채널 운영, 프로젝트형 캠페인의 활용이 ICT 스타트업의 스케일업에 중요하게 작용하는 것으로 나타났다. 학술적으로 본 연구는 ERIS 모델이 향후 ICT 스타트업의 스케일업과 신시장 기업 성공요인 분석 모델로써 의미가 있음을 확인 및 검증한 것에 그 의미가 있다. 또한 실무적으로는 ICT 스타트업의 초기 시장 경쟁력을 확보하고 스케일업을 하기 위한 전략적 전개의 참조사례로 활용될 수 있을 것이다.

What are the benefits and challenges of multi-purpose dam operation modeling via deep learning : A case study of Seomjin River

  • Eun Mi Lee;Jong Hun Kam
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.246-246
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    • 2023
  • Multi-purpose dams are operated accounting for both physical and socioeconomic factors. This study aims to evaluate the utility of a deep learning algorithm-based model for three multi-purpose dam operation (Seomjin River dam, Juam dam, and Juam Control dam) in Seomjin River. In this study, the Gated Recurrent Unit (GRU) algorithm is applied to predict hourly water level of the dam reservoirs over 2002-2021. The hyper-parameters are optimized by the Bayesian optimization algorithm to enhance the prediction skill of the GRU model. The GRU models are set by the following cases: single dam input - single dam output (S-S), multi-dam input - single dam output (M-S), and multi-dam input - multi-dam output (M-M). Results show that the S-S cases with the local dam information have the highest accuracy above 0.8 of NSE. Results from the M-S and M-M model cases confirm that upstream dam information can bring important information for downstream dam operation prediction. The S-S models are simulated with altered outflows (-40% to +40%) to generate the simulated water level of the dam reservoir as alternative dam operational scenarios. The alternative S-S model simulations show physically inconsistent results, indicating that our deep learning algorithm-based model is not explainable for multi-purpose dam operation patterns. To better understand this limitation, we further analyze the relationship between observed water level and outflow of each dam. Results show that complexity in outflow-water level relationship causes the limited predictability of the GRU algorithm-based model. This study highlights the importance of socioeconomic factors from hidden multi-purpose dam operation processes on not only physical processes-based modeling but also aritificial intelligence modeling.

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Assessment of the Effectiveness of a Film-Forming Cream in the Management of Oral Aphthous Ulcers: A Placebo-Controlled Randomized Clinical Trial

  • Simone Marconcini;Giacomo Oldoini;Annamaria Genovesi;Enrica Giammarinaro
    • 치위생과학회지
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    • 제23권2호
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    • pp.88-92
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    • 2023
  • Background: Aphthous stomatitis is a common disease of the oral mucosa and its pathogenesis is associated with several risk factors. Frequently, minor ulcers are idiopathic in nature and often resolve naturally. However, those ulcers are painful and sensibly compromise patients' eating. There are different treatment strategies for the clinical management of oral aphthae. Methods: The present study assessed the efficacy of a film-forming cream in accelerating the healing and diminishing the pain associated with minor aphthae in a randomized fashion design. The test product (AphtoFix®) was compared with placebo cream in a cohort of patients with a diagnosis of minor recurrent stomatitis. Patients were randomly distributed into two groups and were followed for 10 days. The primary outcomes included the number of days until symptoms were relieved and the number of days to complete healing. Results: Thirty-six patients completed the follow-up, eighteen per group. All lesions eventually healed within day 10. However, patients in the test group experienced significantly less pain, already from day 1. Patients in the test group also showed a faster healing rate of the lesion with an average of 7 days against the 9 days required for patients in the control group. Conclusion: The present study supported the utility of a film-forming in cream in relieving the patient from symptoms associated with aphthous stomatitis already at day 1 of product use. Patients also displayed faster healing of the lesions when compared to the control group. Further studies with greater sample size and patient stratification according to age and risk factors are recommended to support the present findings.

특수 분장 1인 방송 콘텐츠의 선호도 분석 (Analysis of Preferences for One-person Broadcast Contents in Special Makeup)

  • 김수지;김은실
    • 한국의류산업학회지
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    • 제25권3호
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    • pp.366-378
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    • 2023
  • Recently, the use of one-person broadcast content for special makeup videos has gained momentum. This study aims to analyze the factors preferred by various age groups as the total number of clicks increase on special makeup videos. It also aims to provide beauty creators with useful data to help them create videos that generate more clicks based on the derived elements. We analyzed previous studies and divided the subjective indicators into place & accessories, editing, model (Y/N), contents and field, and characteristics of the creators. We analyzed top 5 videos from among 257 videos uploaded before July 1, 2020. The subjective indicators were analyzed through a questionnaire survey attempted by 60 respondents in their 10-30s from Jeollanam-do and Gwangju between July 20 to August 31, 2020. The questions majorly focused on intimacy, attractiveness, professionalism, informativity, and playfulness. We analyzed the collected data using SPSS 21.0, and obtained the following results: Informativity, professionalism, attractiveness, and playfulness were considered to be more influential by those aged 10 to 30 years. In particular, factors like visual elements, linguistic characteristics, experts, background music and sound effects, celebrities, product information, and knowhow were most preferred. In fact, it was easy to make videos using these elements. The above results confirmed the utility of such data for beauty-creators-to-be in creating videos that generate more clicks.

Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model Using Weather Data

  • Jin-Kyeong Seo;Da-Jeong Choi;Juryon Paik
    • 한국컴퓨터정보학회논문지
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    • 제28권7호
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    • pp.57-65
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    • 2023
  • 쌀 생산량 예측의 정확성을 높이기 위한 대다수의 연구는 모델의 정확도 증진에 초점이 맞춰져 있다. 이에 비해, 예측 모델을 적용할 대상 데이터 자체에 관한 연구는 상대적으로 미흡하다. 쌀 생산량 데이터에 동일한 종속변수와 예측 모델을 사용하여 다른 특성들로 구성된 두 부류의 데이터에 적용하면, 결과의 차이가 발생하는데 이때 어느 데이터 셋이 더 우수한지 판단하기는 어려운 일이다. 이러한 문제를 해결하기 위해, 예측 모델 적용 전에 데이터 내에서 예측 결과에 큰 영향을 미칠 가능성이 있는 특성들을 선별하고, 이를 중심으로 모델링을 수행하면, 데이터의 구성이 다르더라도 안정적인 예측 결과를 얻을 수 있을 것이다. 본 연구에서는 기상청의 종관기상관측(ASOS) 데이터를 활용하여, 쌀 생산량의 안정적이고 일관된 예측을 위해 데이터 구성 특성들의 조정을 통해 최적의 기반 변수를 선별하는 방법에 대해 제안한다. 본 연구의 결과는 향후 다른 연구에서 성능평가의 유용성을 높이는 데 기여할 것으로 기대한다.

A genomic and bioinformatic-based approach to identify genetic variants for liver cancer across multiple continents

  • Muhammad Ma'ruf;Lalu Muhammad Irham;Wirawan Adikusuma;Made Ary Sarasmita;Sabiah Khairi;Barkah Djaka Purwanto;Rockie Chong;Maulida Mazaya;Lalu Muhammad Harmain Siswanto
    • Genomics & Informatics
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    • 제21권4호
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    • pp.48.1-48.8
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    • 2023
  • Liver cancer is the fourth leading cause of death worldwide. Well-known risk factors include hepatitis B virus and hepatitis C virus, along with exposure to aflatoxins, excessive alcohol consumption, obesity, and type 2 diabetes. Genomic variants play a crucial role in mediating the associations between these risk factors and liver cancer. However, the specific variants involved in this process remain under-explored. This study utilized a bioinformatics approach to identify genetic variants associated with liver cancer from various continents. Single-nucleotide polymorphisms associated with liver cancer were retrieved from the genome-wide association studies catalog. Prioritization was then performed using functional annotation with HaploReg v4.1 and the Ensembl database. The prevalence and allele frequencies of each variant were evaluated using Pearson correlation coefficients. Two variants, rs2294915 and rs2896019, encoded by the PNPLA3 gene, were found to be highly expressed in the liver tissue, as well as in the skin, cell-cultured fibroblasts, and adipose-subcutaneous tissue, all of which contribute to the risk of liver cancer. We further found that these two SNPs (rs2294915 and rs2896019) were positively correlated with the prevalence rate. Positive associations with the prevalence rate were more frequent in East Asian and African populations. We highlight the utility of this population-specific PNPLA3 genetic variant for genetic association studies and for the early prognosis and treatment of liver cancer. This study highlights the potential of integrating genomic databases with bioinformatic analysis to identify genetic variations involved in the pathogenesis of liver cancer. The genetic variants investigated in this study are likely to predispose to liver cancer and could affect its progression and aggressiveness. We recommend future research prioritizing the validation of these variations in clinical settings.