• 제목/요약/키워드: Quantitative Convergence Analysis

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로스팅 조건 변화에 따른 커피 추출액의 화학성분 및 관능 특성 (Chemical Composition and Sensory Attributes of Brewed Coffee as Affected by Roasting Conditions)

  • 김성혜;김주신
    • 한국조리학회지
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    • 제23권5호
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    • pp.1-11
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    • 2017
  • The objectives of this study were: 1) to examine the contents of chemical composition (chlorogenic acids, caffeine, free acids, and free sugars) and 2) to evaluate the sensory attributes (sourness, bitterness, and sweetness) of brewed coffee as affected by two roasting conditions such as varied in the roasting time with the same roasting temperature (RT) and with same color and yield (CY). Quantitative analysis of chemical components was performed using high-performance liquid chromatography (HPLC) system, and quantitative descriptive analysis (QDA) was conducted to analyze sensory attributes. Based on the results of chemical analysis, chlorogenic acids were significantly different (p<0.05) in the short term roasted samples (RT 240 and CY 240), but there was no significant difference in caffeine contents (p>0.05). Organic acid levels were different between RT and CY coffee samples. RT 240 coffee had the most level in organic acids and the longer the roasting time of coffee, the lesser the level of organic acids in coffee was found. However, there was no significant difference in CY coffee (p>0.05). The results of sensory evaluations show that the degree of roasting changed according to the roasting time despite of the roasting temperature. Long term (RT 80) coffee was relatively bitter while short term (RT 240) coffee was relatively sweeter. Also, there was no significant difference (p>0.05) in the sensory characteristics (bitterness and sweetness) of CY coffee although they were roasted at different temperatures. Therefore, the current study concluded that better understanding of proper roasting time and temperature improves the quality of brewed coffee.

대중매체에 나타난 패럴림픽에 대한 분석 및 발전방향 (Analysis and Development Direction of Paralympics in Mass Media)

  • 이창희;박범영
    • 한국융합학회논문지
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    • 제9권6호
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    • pp.235-240
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    • 2018
  • 본 연구의 목적은 대한민국에서 성공적인 개최를 한 제8회 1988년 서울 패럴림픽 대회부터 다가올 제12회 2018년 평창 동계 패럴림픽 개최를 중심으로 보도되는 대중매체를 중심으로 텍스트를 분석하여 최근 증가하고 있는 장애의 유형을 분석해 봄으로서 현재의 패럴림픽에 대한 관심도와 패럴림픽의 향후 발전 방향을 제시하는데 목적이 있다. 수집된 자료를 분석한 결과는 첫째, 방송/통신 분야가 21%로 제일 많았으며 둘째, 지적장애가 지체장애보다 2배 이상 보도되었다. 이는 단순한 휠체어를 상징하는 신체적 장애인의 참여뿐 아니라 정신적 장애의 장애유형의 참여가 많아지고 있음을 의미한다. 결론적으로 대중매체의 양적증가의 흐름을 통해 적극적이고 지속적인 보도와 분석을 통하여 패럴림픽에 많은 장애인들이 참여할 수 있는 계기와 장애인들만의 축제가 아닌 대한민국 전체의 축제로 보고 긍정적으로 인지시킬 수 있는 계기가 되어야 할 것이다.

무연솔더 동판부식 시험법 연구 (Cu Corrosion Test Method for Lead-Free Solders)

  • 김미송;홍원식;오철민;김근수
    • Journal of Welding and Joining
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    • 제35권3호
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    • pp.21-27
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    • 2017
  • A soldering temperature of ($235{\pm}3$) $^{\circ}C$ is described in ISO 9455-15 for the copper corrosion test. However, this temperature is not suitable for performing lead-free solder pastes. We evaluated the compatibility of a lead-free solder paste in the experimental conditions of (Liquidus temperature + ($35{\pm}3$)) $^{\circ}C$. Based on the results after a Cu corrosion test, a proper temperature for Pb-free soldering was (melting point+($35{\pm}3$)) $^{\circ}C$. Criteria used to evaluate corrosion due to discoloration of flux residue is described in ISO 9455-15, but a more quantitative evaluation standard is needed. In this study, experimental error level was estimated by analyzing flux residue after a corrosion test for 72, 500 hours of specimens using EDS analysis with acceleration voltage. It was determined that the copper area at the flux residue boundary is suitable for the EDS analysis area.

Comparative Analysis of Baseflow Separation using Conventional and Deep Learning Techniques

  • Yusuff, Kareem Kola;Shiksa, Bastola;Park, Kidoo;Jung, Younghun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2022년도 학술발표회
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    • pp.149-149
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    • 2022
  • Accurate quantitative evaluation of baseflow contribution to streamflow is imperative to address seasonal drought vulnerability, flood occurrence and groundwater management concerns for efficient and sustainable water resources management in watersheds. Several baseflow separation algorithms using recursive filters, graphical method and tracer or chemical balance have been developed but resulting baseflow outputs always show wide variations, thereby making it hard to determine best separation technique. Therefore, the current global shift towards implementation of artificial intelligence (AI) in water resources is employed to compare the performance of deep learning models with conventional hydrograph separation techniques to quantify baseflow contribution to streamflow of Piney River watershed, Tennessee from 2001-2021. Streamflow values are obtained from the USGS station 03602500 and modeled to generate values of Baseflow Index (BI) using Web-based Hydrograph Analysis (WHAT) model. Annual and seasonal baseflow outputs from the traditional separation techniques are compared with results of Long Short Term Memory (LSTM) and simple Gated Recurrent Unit (GRU) models. The GRU model gave optimal BFI values during the four seasons with average NSE = 0.98, KGE = 0.97, r = 0.89 and future baseflow volumes are predicted. AI offers easier and more accurate approach to groundwater management and surface runoff modeling to create effective water policy frameworks for disaster management.

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Quantitative Approach for Calculating DRDoS Risk

  • Young-Ryul Choi;Nam-Kyun Baik
    • Journal of information and communication convergence engineering
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    • 제21권3호
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    • pp.192-197
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    • 2023
  • A Distributed reflection denial of service (DRDoS) is a variant of DDoS attacks that threatens the availability of services to legitimate users. In response to this evolving threat landscape, the cybersecurity industry and service providers have intensified their efforts to develop effective countermeasures. Despite these efforts, attackers continue to innovate, developing new strategies and tools while becoming more sophisticated. Consequently, DRDoS attacks continue to be harmful. Therefore, ongoing research and development is essential to improve defense against DRDoS attacks. To advance our understanding and analysis of DRDoS attacks, this study examines the unique characteristics of DRDoS attacks and quantifies the risks involved. Additionally, it adopts a quantitative rather than traditional qualitative methods to derive and apply risk, particularly the probability of loss that can be caused by DRDoS attacks.

A Study on Securing Objectivity in Small-Scale Environmental Impact Assessments Using Delphi Analysis

  • Dong-Myung CHO;Ju-Yeon LEE;Woo-Taeg KWON
    • 웰빙융합연구
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    • 제7권3호
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    • pp.73-95
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    • 2024
  • Purpose: Since August 2000, the small-scale environmental impact assessment system has prevented indiscriminate development. However, its qualitative reports lack objectivity and consistency. This study analyzes these issues through literature and expert surveys and proposes improvements. Research Methodology: Samples were selected based on regional consultation numbers. Mitigation measures were categorized into qualitative and quantitative factors. Issues were identified, and improvements suggested. The Delphi method helped select evaluation items and propose a scoring table. Results and Conclusions: The Delphi method selected 14 absolute and 22 relative evaluation items, excluding 3 invalid ones. A 100-point scoring table was created, with points assigned based on element significance. A 1-point bonus was added for top-scoring elements to promote eco-friendly planning.

신규 융합형 방송서비스 속성에 대한 소비자 선호 분석을 통한 미래 방송서비스 시장 예측 (Forecasting Future Broadcasting Service Market based on the Consumer Preferences for the Attributes of New Convergence Broadcasting Services)

  • 고대영;김태유;이종수
    • 기술혁신연구
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    • 제14권1호
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    • pp.227-254
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    • 2006
  • Under the recent trend of telecommunications and broadcasting convergence, much more various forms of new convergence broadcasting services are being introduced than ever before. Owing to the unique advantages, new convergence broadcasting services are expected to bring drastic changes to the current broadcasting service market. In this research, we attempt to examine what kind of attributes critically affect the competition among new convergence broadcasting services, and how much competitive they will be, based on the quantitative information about consumer preferences for the important attributes of new convergence broadcasting services. Conjoint survey was used in order to obtain stated preference data of consumers. From the results, some implications are obtained as follows. First, even though new convergence broadcasting services have many unique advantages, still price is the most important for the consumers. Second, it is expected that considerable consumer valuation exists for the unique advantages of new convergence broadcasting services like mobility and dual-way interactivity, which will add the competitiveness of those services in the future. Third, since midterm advertising puts negative utility on consumers, broadcasting services with midterm advertising will not be preferred to those with neither advertising nor midterm advertising. Fourth, service coverage and the number of consumers using the same broadcasting service have a significant feedback effect on the competition between broadcasting services from the dynamic aspect. Lastly, the consumer preference can be affected by demographic variables like age and gender, and broadcasting service usage patterns such as channel switchover for escaping advertisement and frequency of using other recorded media. Main findings of our research might become useful information for both telecommunication and broadcasting companies, contents providers, advertisers, and policy and regulation makers to cope with the uncertain environment of telecommunication and broadcasting convergence.

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A Design of Snoring Detection System using Chaotic Signal

  • Choo, Yeon-Gyu
    • Journal of information and communication convergence engineering
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    • 제8권5호
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    • pp.560-565
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    • 2010
  • In this study, the existence of chaotic characteristics in snoring signals obtained in the form of time series data was checked through quantitative and qualitative analysis methods, and a snoring signal detection system was designed applied with detection algorithms considering diverse parameters of occurring signals in order to enhance the accuracy and reliability of detections and the performance of the system was checked. The system was tested with certain snoring patients and thereby the results as follows could be obtained.

Assessing Web Browser Security Vulnerabilities with respect to CVSS

  • Joh, HyunChul
    • 한국멀티미디어학회논문지
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    • 제18권2호
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    • pp.199-206
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    • 2015
  • Since security vulnerabilities newly discovered in a popular Web browser immediately put a number of users at risk, urgent attention from developers is required to address those vulnerabilities. Analysis of characteristics in the Web browser vulnerabilities can be used to assess security risks and to determine the resources needed to develop patches quickly to handle vulnerabilities discovered. So far, being a new research area, the quantitative aspects of the Web browser vulnerabilities and risk assessments have not been fully investigated. However, due to the importance of Web browser software systems, further detailed studies are required related to the Web browser risk assessment, using rigorous analysis of actual data which can assist decision makers to maximize the returns on their security related efforts. In this paper, quantitative software vulnerability analysis has been presented for major Web browsers with respect to the Common Vulnerability Scoring System. Further, vulnerability discovery trends in the Web browsers are also investigated. The results show that, almost all the time, vulnerabilities are compromised from remote networks with no authentication required systems. It is also found that a vulnerability discovery model which was originally introduced for operating systems is also applicable to the Web browsers.

간호사와 간호대학생의 좋은 수업에 대한 인식 (Nurses and Nursing Students' Recognition of Good Instruction)

  • 박민아;신수진
    • 대한간호학회지
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    • 제50권1호
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    • pp.101-115
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    • 2020
  • Purpose: The purpose of this study was to identify and assess from nursing students and nurses in the clinical field what constitute good instruction, through the review of nursing students' opinions and clinical field demands. Methods: The study design was used Creswell's exploratory sequential design by collecting and analyzing qualitative data obtained from interviews and then analysis of quantitative data. The participations were 79 seniors in nursing schools and 85 nurses with less than three years of clinical experience. The data were collected through individual interviews and analyzed based on Elo and Kyngas's content analysis method. The quantitative data were collected using the questionnaire developed based on qualitative results and analyzed by SPSS 23.0 program and Importance Performance Analysis (IPA). Results: The results showed that IPA extracted seven items with high importance but low satisfaction: "nursing fads and trends," "teacher-learner communication and reflection," "materials used in clinical settings such as monitoring results and test results," "special presentations by experienced practitioners," "instruction assures learners' comprehension," "accurate and detailed evaluation standards" and "feedback on homework and exam." Conclusion: The factors comprising good instruction were verified, and the necessity for additional efforts to improve high importance and low performance factors was noted. Therefore, this study can serve as a guide for nursing education facilities and educators in developing of a thorough education system with excellent instruction designed to achieve an ideal nursing education.