• The Journal of Industrial Distribution & Business
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• v.14 no.7
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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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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• v.17 no.10
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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.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.4
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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.

• Journal of Distribution Science
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• v.22 no.3
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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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• v.24 no.1
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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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4999-5008
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• 2015

The application of efficient constraint handling technique is fundamental method to find better solutions in engineering optimization problems with constraints. In this research four of constraint handling techniques are used with a meta-heuristic optimization method, harmony search algorithm, and the efficiency of algorithm is evaluated. The sample problem for evaluation of effectiveness is one of the typical discrete problems, optimal pipe size design problem of water distribution system. The result shows the suggested constraint handling technique derives better solutions than classical constraint handling technique with penalty function. Especially, the case of ${\varepsilon}$-constrained method derives solutions with efficiency and stability. This technique is meaningful method for improvement of harmony search algorithm without the need for development of new algorithm. In addition, the applicability of suggested method for large scale engineering optimization problems is verified with application of constraint handling technique to big size problem has over 400 of decision variables.

• Journal of the Korean School Mathematics Society
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• v.17 no.1
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• pp.23-43
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• 2014

This study aims to develop strategies for improving the affective characteristics of Korean students based on results from international achievement tests. In pursuing the goal, different research methods are employed including a) analysis of the theories and literature regarding the affective domains included in PISA and TIMSS studies; b) analysis of the current situation and needs of Korean students with respect to the affective factors based on PISA and TIMSS results; c) case studies of best practices in relation to students' affective domains in Korea and abroad; and d) development of strategies for improving and supporting Korean students' affective characteristics. Especially, this paper describes meta-analyses of the results from the previous PISA and TIMSS studies. Afterwards, it reports statistical analyses results on the relationship between students' affective achievements and educational context variables. Data from TIMSS 2011, TIMSS 2007, PISA 2006, and PISA 2003 are used for the analyses, and contextual variables are selected through rigorous statistical analyses including frequency and correlation, and expert consultation. The effects of educational contextual variables on students' affective achievement in mathematics and science are analyzed through Hierarchical Linear Model.

• Journal of Advanced Navigation Technology
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• v.17 no.1
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• pp.39-46
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• 2013

If a file system is damaged because of the unusual system close, the system performs the consistency test using fsch and it takes long time. Especially, if it is a big file system, it will take a lot of time. The journaling file system that uses journaling technique, can reduce the restoring time because it uses meta data and it may increase the chance of restoration when restoring. The goal of this paper compared performance evaluation journaling file systems focused on the reading and writing using Iozone tool which is the kernel based benchmarking tool in linux operating system. In this paper, Ex4 which is the current basic Linux file system. is 1.28x faster than XFS file system in terms of file read performance and 1.22x faster than Ext3 file system in terms of file write performance.

• Journal of Korean Medicine Rehabilitation
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• v.26 no.2
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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.