• 제목/요약/키워드: Meta-evaluation

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Process Evaluation Model based on Goal-Scenario for Business Activity Monitoring

  • Baek, Su-Jin;Song, Young-Jae
    • Journal of information and communication convergence engineering
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    • 제9권4호
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    • pp.379-384
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    • 2011
  • The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. However, the current monitoring process of business activities decides whether to apply warnings or not by assuming a fixed environment and showing expressions based on the design rules. Also, warnings are applied by carrying out the measuring process when the event attribute values are inserted at every point. Therefore, there is a limit for distinguishing the range of occurrence and the level of severity in regard to the new external problems occurring in a complicated environment. Such problems cannot be ed. Also, since it is difficult to expand the range of problems which can be possibly evaluated, it is impossible to evaluate any unexpected situation which could occur in the execution period. In this paper, a process-evaluating model based on the goal scenario is suggested to provide constant services through the current monitoring process in regard to the service demands of the new scenario which occurs outside. The new demands based on the outside situation are analyzed according to the goal scenario for the process activities. Also, by using the meta-heuristic algorithm, a similar process model is found and identified by combining similarity and interrelationship. The process can be stopped in advance or adjusted to the wanted direction.

사이버윤리 연구동향 분석과 정보인권 측면에서의 평가 (A Meta-Analysis of Cyberethics Research and Critical Evaluation from a Perspective of Information Human Rights)

  • 명재진;이한태
    • 정보화정책
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    • 제20권1호
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    • pp.3-21
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    • 2013
  • 본 연구는 사이버윤리와 관련된 2002년부터 2012년까지의 국내 연구들을 메타 분석하였다. 가장 연구가 활발한 연구 분야는 교육학분야로 나타났고, 그 외의 분야로는 법학, 신문방송학, 철학, 사회복지학, 사회학, 행정학, 경영학, 심리학 순이었다. 사이버 윤리는 각 전공분야별로 중점적인 연구 영역이 다르게 나타났다. 사이버연구 분석결과 사이버 공간의 특수성을 반영한 윤리이론 개발이 미흡하고, 대부분의 연구들이 기존의 윤리 철학적 범주를 벗어나지 못하는 경향을 보이는 것이 문제점으로 지적된다. 사이버윤리에 대한 연구의 경향이 추상적인 도덕규범 정립에 그치는 것도 문제점으로 볼 수 있다. 또한 새롭게 등장하는 정보인권에 대한 인식 또한 부족하여 실천적 생활윤리에 관한 연구가 미흡하였다. 향후 연구에 있어서 사이버 공간의 정보인권적 윤리의식이 제고되어야 하고, 학제간의 융합적인 연구의 필요성도 요청된다.

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Subspace search mechanism and cuckoo search algorithm for size optimization of space trusses

  • Kaveh, A.;Bakhshpoori, T.
    • Steel and Composite Structures
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    • 제18권2호
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    • pp.289-303
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    • 2015
  • This study presents a strategy so-called Subspace Search Mechanism (SSM) for reducing the computational time for convergence of population based metaheusristic algorithms. The selected metaheuristic for this study is the Cuckoo Search algorithm (CS) dealing with size optimization of trusses. The complexity of structural optimization problems can be partially due to the presence of high-dimensional design variables. SSM approach aims to reduce dimension of the problem. Design variables are categorized to predefined groups (subspaces). SSM focuses on the multiple use of the metaheuristic at hand for each subspace. Optimizer updates the design variables for each subspace independently. Updating rules require candidate designs evaluation. Each candidate design is the assemblage of responsible set of design variables that define the subspace of interest. SSM is incorporated to the Cuckoo Search algorithm for size optimizing of three small, moderate and large space trusses. Optimization results indicate that SSM enables the CS to work with less number of population (42%), as a result reducing the time of convergence, in exchange for some accuracy (1.5%). It is shown that the loss of accuracy can be lessened with increasing the order of complexity. This suggests its applicability to other algorithms and other complex finite element-based engineering design problems.

The PRISMA Statement: The Characteristics of Fashion Distribution Channels in Virtual Reality

  • Jae-Min LEE
    • 유통과학연구
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    • 제21권10호
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    • pp.85-95
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    • 2023
  • Purpose: Virtual reality's impact on fashion distribution extends beyond singular transactions, facilitating the emergence of novel collaborations. As investigating the characteristics of fashion distribution channels in virtual reality, this study explores how the fashion industry can utilize virtual reality distribution channels to their maximum capacity while minimizing potential disadvantages. Research design, data, and methodology: The approach used to gather previous studies for this study adheres to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. This method is widely acknowledged and recommended for its systematic and transparent approach to selecting relevant literature. This kind of literature search plays a vital role in a systematic evaluation as it informs the results. Results: The finding indicates consistently a total of eight kinds of characteristics of fashion distribution channels in virtual reality. The result means that the attributes of fashion distribution channels in virtual reality are causing significant changes in the fashion industry, revolutionizing the consumer experience, and redefining the parameters of creativity and collaboration. Conclusions: In sum, the global reach and accessibility of modern technology enhance the capacity of fashion companies to expand their market presence. This facilitates their participation in intercultural interactions and allows them to serve a wide range of customers.

위식도 역류질환에 대한 한의학 연구 경향 분석: 국내 논문을 중심으로 (The Review of Domestic Research on Traditional Korean Medicine for Gastroesophageal Reflux Disease)

  • 남현서
    • 대한한의학회지
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    • 제44권2호
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    • pp.70-105
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    • 2023
  • This study was conducted to examine the current status of traditional korean medicine studies on gastroesophageal reflux disease in Korea, identify deficiencies, and suggest the direction of future medicine research methods to lay the foundation for traditional korean medicine treatment. All domestic papers on the korean traditional treatment of gastroesophageal reflux disease were selected among the literature published until August 2022 in six domestic databases. A total of 52 selected research data were classified into experimental research papers, clinical research papers, and review papers. In experimental papers, to evaluate the effectiveness of treatment, improvement of esophageal mucosal lesions, anti-inflammatory mechanisms, antioxidant mechanisms, esophageal mucosal protection mechanisms, gastric peristalsis control, and gastric acid secretion inhibition mechanisms were used as evaluation measures. In the clinical research paper, the basis for diagnosis of cases was clinical symptoms through medical history listening and diagnosis through visits to hospitals in the past. The average treatment period was 40.7 days, and the duration of treatment was not significantly affected by the duration of the disease. The most widely used Korean medicine treatment intervention was herbal medicine. There were 3 literature review studies, 3 systematic literature review and meta-analysis studies, 1 comparative review study for clinical trial guideline development, all using Chinese papers. This study included all domestic papers on gastroesophageal reflux disease to identify the research trend of the Korean oriental medicine community, and based on this, it is meaningful to confirm areas that need to be supplemented in future research plans.

Literature Evaluation: The Focus on the Difference between Job-based Pay and Skill-based Pay Scheme

  • Eungoo KANG
    • 산경연구논집
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    • 제14권7호
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    • pp.1-7
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    • 2023
  • Purpose: The present research is to explore and investigate the meaningful difference between job-based pay and skill-based pay in the current literature to shed light on the advantages and caveats of two compensation approach, providing direction for human resource practitioners looking to develop efficient and fair compensation plans. Research design, data and methodology: The methodology based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was used for this research. The PRISMA technique is generally considered the gold standard since it guarantees openness, repeatability, and rigor. Studies comparing salaries based on work duties versus those based on individual skills published in English and accepted for publication in peer-reviewed journals are eligible for inclusion. Results: According to the comprehensive literature analysis, the present research provides clear comparison between Job-based pay and skilled-based pay, pointing out a similarity and four differences (1. Criteria for pay determination, 2. Flexibility, 2. Job Scope, and 4. Career progression. Conclusions: The result of the current research implies that human resource professionals would be well to learn the effects of various compensation structures on career advancement, and suggests for them that employees can take advantage of chances to advance in their careers based on right compensation schemes.

딥러닝 모델 구조에 따른 모르타르의 단위수량 평가에 대한 비교 실험 연구 (Comparative Experimental Study on the Evaluation of the Unit-water Content of Mortar According to the Structure of the Deep Learning Model)

  • 조양제;유승환;양현민;윤종완;박태준;이한승
    • 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.

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Energy Forecasting Information System of Optimal Electricity Generation using Fuzzy-based RERNN with GPC

  • Elumalaivasan Poongavanam;Padmanathan Kasinathan;Karunanithi Kandasamy;S. P. Raja
    • 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.

The Effect of ESG Performance on Economic Growth

  • Wei-Keon ZHANG
    • 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.

Green Supply Chain Management to Promote Environmental Awareness of Consumers in the Fashion Design Industry

  • Jieun KIM;Junhyuck SUH;Eungoo KANG
    • 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.