• Title/Summary/Keyword: Reliability growth

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The Role of Economic Democratization in Economic Development

  • PanJin KIM
    • East Asian Journal of Business Economics (EAJBE)
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    • v.12 no.2
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    • pp.29-34
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    • 2024
  • Purpose: The primary objective of this study was to examine the influence of economic democratization on economic development from diverse perspectives. Research design, Data methodology: Justification of the qualitative literature methods used in this study is essential, as extensive descriptions, justifications, and explanations of the methods used allow researchers to increase the reliability of their studies for specific or specified audiences. Initially, the concept and principal attributes of economic democratization were scrutinized, followed by an exploration of its manifold effects on economic development. Results: Consequently, this study facilitated a comprehensive comprehension of how economic democratization fosters economic growth and advancement in contemporary society. Additionally, the study deliberated on the constraints and hurdles of economic democratization, proposing policy recommendations for future mitigation. Conclusion: In conclusion, this study is anticipated to furnish foundational data for regional economic development to both academia and policymakers. It achieves this by thoroughly evaluating the impact of economic democratization on economic development and delving into the dynamic interaction between democracy and economic progress.

UHPLC System Shutdown and Reactivation Advice (UHPLC 시스템 종료 및 재가동 시 가이드)

  • Mark Fever;Gemma Lo
    • FOCUS: LIFE SCIENCE
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    • no.1
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    • pp.8.1-8.3
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    • 2024
  • Ultra-high performance liquid chromatography (UHPLC) systems are integral to modern analytical laboratories, necessitating careful maintenance and operation protocols to ensure optimal performance. This document provides comprehensive guidelines for the proper shutdown and reactivation of UHPLC systems to prevent damage and maintain operational efficiency. • Shutdown: Remove the column and replace it with a union to avoid blockages. Flush the system with a compatible solvent mix, clean mobile phase reservoirs to prevent microbial growth, flush the pump with storage solvent, and clean the autosampler, including the needle and injection port. • Reactivation: Inspect the system for wear or damage, gradually reintroduce mobile phases starting with a weak solvent, reinstall the column securely, and perform system checks on baseline stability, pressure consistency, and detector performance. By adhering to these guidelines, laboratories can ensure the longevity and reliability of their UHPLC systems, maintaining high analytical performance and minimizing downtime. These procedures help prevent common issues such as blockages, contamination, and component wear, thereby supporting efficient and accurate analytical operations.

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Evaluation of the Functions and Reliability of an Eco-Friendly Vegetated Soundproof Wall for Climate Benefits

  • Jong-Sung Kim;Young-Hyoo Kwon;Yong-Jo Jung
    • Journal of Forest and Environmental Science
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    • v.40 no.2
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    • pp.141-150
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    • 2024
  • This study aims to develop and commercialize a soundproof wall capable of planting at the urban ecological. The vegetative soundproof wall developed in the study showed highly superb structural test results for sound absorption coefficients and met the quality standards in the sound-absorbing performance test. Its structure is systemized to supply water to soils and plant roots inside the planting basis with rainwater running down the inclined planes near the planting basis in the front of the vegetation panel. It allows for sporadic water supply for about 30 days of drought. The test results show that the plants continued favorable growth and development in leaves, stems, and roots, making the vegetative soundproof plate a product capable of reacting to climate environment changes.

Agricultural Products Traceability Management System based on RFID/USN (RFID/USN 기반 농산물 이력관리시스템)

  • Kim, Myung-Hwa;Son, Byung-Rak;Kim, Dong-Kyu;Kim, Jung-Gyu
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.5
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    • pp.331-344
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    • 2009
  • Recently, it is expected that the agricultural and stockbreeding industry are damaged by the China-Japan-South Korea FTA and FTA between the United States and South Korea. After free trade, it is increasing to import crops, aquatic products, and livestock which are produced in a foreign land. But it is affected negatively to the trust relationships and markets, because of breaking it out that low grade foreign products are turned into domestic products. For this reason, we need the traceability management system. In this paper, it designs and implements the traceability management system using RFID and USN providing distribution traceability information as well as the traceability information of the growth environment, automatic control according to the facility growing and monitoring of the storehouse. The implemented whole systems consist of the growth environment monitoring and the traceability management. First, the growth environment monitoring shows the environment of plantation and automatic controller of the storehouse and growing facility. This growth environment monitoring information provides the detailed information about growth environment and writing the farming diary automatically by producer. Second, the traceability management provides all of the traceability information such as production, shipment and consumption to consumers. The traceability management system that has been designed and implemented using RFID and USN in this paper, provides the u-IT agriculture to producer and the reliability about agricultural products. In addition, this system provides the foundation data to operate GAP and HACCP, and becomes the advantaged agricultural products of the interior of a country by application of this system.

A Study on the Effect of Young Entrepreneurs' Growth Factors on Entrepreneurial Capability and Entrepreneurial Intentions : -Focused on the College Students Majoring in Culinary and Foodservice - (청년사업가를 위한 성장요인이 창업역량과 창업의도에 미치는 영향 연구 : 조리.외식전공 대학생 중심으로)

  • Lee, In-Suk;Kim, Oe-Sun;Rha, Young-Ah
    • Culinary science and hospitality research
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    • v.19 no.4
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    • pp.25-39
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    • 2013
  • The purpose of this study is to understand interrelationships among young entrepreneurs' growth factors, entrepreneurial capability and entrepreneurial intentions, targeting the students who major in culinary and foodservice. Based on total 327 samples obtained from the empirical research, this study reviewed reliability and fitness of the research model and verified total 2 hypotheses with the Amos program. The proposed model provided an adequate fit for the data, $x^2$=495.217 (p<.001), df=231, CMIN/DF 2.144, GFI .902, AGFI .878, NFI .911, CFI .954, RMSEA .067. The SEM results showed that the young entrepreneurs' growth factors such as policy support(${\beta}$=.457, p<.001), skills & knowledge(${\beta}$=.244, p<.01), role model(${\beta}$= .242, p<.05) in order had significantly positive effects on entrepreneurial capability, and entrepreneurial capability(${\beta}$= .787, p<.001) had positive(+) effects on entrepreneurial intentions, verifying organic causal relationships among the growth factors, entrepreneurial capability, and entrepreneurial capability. These study results showed that there should be more systematic supports to encourage young entrepreneurs. Limitations and further research directions are also discussed.

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Analysis of Crop Survey Protocols to Support Parameter Calibration and Verification for Crop Models of Major Vegetables (주요 채소 작물 대상 작물 모형 모수 추정 및 검증을 지원하기 위한 생육 조사 프로토콜 분석)

  • Kim, Kwang Soo;Kim, Junhwan;Hyun, Shinwoo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.2
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    • pp.68-78
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    • 2020
  • Crop models have been used to predict vegetable crop yield, which would have a considerable economic impact on consumers as well as producers. A small number of models have been developed to estimate growth and yield of vegetables due to limited availability of growth observation data in high-quality. In this study, we aimed to analyze the protocols designed for collection of the observation data for major vegetable crops including cabbage, radish, garlic, onion and pepper. We also designed the protocols suitable for development and verification of a vegetable crop growth model. In particular, different measures were proposed to improve the existing protocol used by Statistics Korea (KOSTAT) and Rural Development Administration (RDA), which would enhance reliability of parameter estimation for the crop model. It would be advantageous to select sampling sites in areas where reliable weather observation data can be obtained because crop models quantify the response of crop growth to given weather conditions. It is recommended to choose multiple sampling sites where climate conditions would differ. It is crucial to collect time series data for comparison between observed and simulated crop growth and yield. A crop model can be developed to predict actual yield rather than attainable yield using data for crop damage caused by diseases and pests as well as weather anomalies. A bigdata platform where the observation data are to be shared would facilitate the development of crop models for vegetable crops.

Comparison of Genome-wide Association Study (GWAS) Algorithms for Detecting Genetic Variants Associated with Growth Traits in Olive Flounder Paralichthys olivaceus (넙치(Paralichthys olivaceus)의 성장형질 연관 유전자 변이 탐색을 위한 전장유전체연관분석(GWAS) 알고리즘 비교 분석 연구)

  • Sangwon Yoon;Heegun Lee;Jong-Won Park;Minhwan Jeong;Dain Lee;Hyo Sun Jung;Julan Kim;Hye-Rim Yang;Seung Hwan Lee;Jeong-Ho Lee
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.56 no.4
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    • pp.411-418
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    • 2023
  • Genome wide association studies (GWAS) identify genetic loci associated with quantitative traits in genomic selection. Although several studies have compared performance of various algorithms, no study compares them in olive flounder Paralichthys olivaceus. This study compared the GWAS results of four mixed linear model (MLM) algorithms and one Fixed and random model Circulating Probability Unification (FarmCPU) algorithm in olive flounder. Considering gender and genetic association matrices as fixed and random effects, the MLM had stable performance without inflation for λGC (genomic inflation factor) of -log10P. The FarmCPU algorithm had some appropriate λGC of -log10P, and an upward tail was identified in quantile-quantile plots. Therefore, the models were suitable for detecting genetic variants associated with olive flounder growth traits. Moreover, significant genotypes appeared several times at chromosome 22, around which quantitative trait loci are expected to exist. Finally, in both models, some of the most genetic variants were found in genes related to growth traits, confirming their reliability. These results will be helpful when applied to the genomic selection of olive flounder growth traits in the future.

New Growth Power, Economic Effect Analysis of Software Industry (신성장 동력, 소프트웨어산업의 경제적 파급효과 분석)

  • Choi, Jinho;Ryu, Jae Hong
    • Journal of Information Technology Applications and Management
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    • v.21 no.4_spc
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    • pp.381-401
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    • 2014
  • This study proposes the accurate economic effect (employment inducement coefficient, hiring inducement coefficient, index of the sensitivity of dispersion, index of the power of dispersion, and ratio of value added) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. Some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table publishedby the Bank of Korea, the output of software industry includes not only the output of pure software industry (package software and IT services) but also the output of non-software industry due to the misclassification of the industry. This causes the output to become bigger than the actual output of the software industry. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the economic effect coefficient to degrade reliability, over or under estimated. This study tries to correct these problems to get the more accurate economic effect of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association(KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The following results were obtained: The pure software section's economic effect coefficient was lower than the coefficient of non-software section. It comes from differenceof data to Bank of Korea and KEA. This study hasa signification from accurate economic effect of Korea software industry.

What Quality Factors Affect to the e-Learning Performance (e-러닝 성과에 영향을 미치는 품질요인에 관한 연구)

  • Kim, Sung-Gyun;Sung, Hang-Nam;Jeong, Dae-Yul
    • The Journal of Information Systems
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    • v.16 no.1
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    • pp.201-230
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    • 2007
  • Recently, the growth of e-Learning systems and its related information technology has presented a unique challenge for both schools and industry. It would make an extremely phenomenal paradigm shift in the educational method and practice. Methods of assessing the quality of e-teaming services and contents are critical issue in both practice and research. Moreover, many researchers are interested in what qualify factors more affect to the Performance of e-Learning service. Nevertheless, service quality is a construct that is difficult to define and measure. e-Learning services are composed of many factors, and they are more complicated than the traditional education services because they we performed on the distance basis and the many platforms of IT infrastructure. The purposes of our research are to classify the e-Learning service dimension and identify their factors, to develop the measurement of the factors, and finally to test empirically their relationship between the service factors and e-Learning service performance. For the development of the service factors we considered SERVQUAL model and SERVPERF model which were developed in the service marketing area. The SERVQUAL model was more fitted to the e-Learning services than the latter. From that we derived several factors that fit to our research domain, ie, tangibles, access, reliability, credibility, security, responsiveness, assurance, empathy. We combined three factors of them(reliability, credibility, security) into a factor, system stability for the semantic simplicity, and divided responsiveness factor into system operator responsiveness and teacher responsiveness as the entity based dimension classification. In the e-Learning services research, Most researcher are mentioned the quality factors of contents, so we added to two contents quality factors, ie, contents production method and richness of contents itself. We examined the relationship between the service quality factors and e-Learning performance(student satisfaction and service reuse intention). As result three quality factors(contents production method, teacher responsiveness, empathy) significantly affected student satisfaction. To the other performance variable, ie, service reuse intention, the teacher related quality factors(such as teacher responsiveness, assurance, empathy) affected only. In conclusion, even in the on-line distance teaming, the teacher's role md earnestness is as important as ever.

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Neural Network Modeling for Software Reliability Prediction of Grouped Failure Data (그룹 고장 데이터의 소프트웨어 신뢰성 예측에 관한 신경망 모델)

  • Lee, Sang-Un;Park, Yeong-Mok;Park, Soo-Jin;Park, Jae-Heung
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.12
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    • pp.3821-3828
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    • 2000
  • Many software projects collect grouped failure data (failures in some failure interval or in variable time interval) rather than individual failure times or failure count data during the testing or operational phase. This paper presents the neural network (NN) modeling that is dble to predict cumulative failures in the variable future time for grouped failure data. ANN's predictive ability can be affected by what it learns and in its ledming sequence. Eleven training regimes that represents the input-output of NN are considered. The best training regimes dre selected rJdsed on the next' step dvemge reldtive prediction error (AE) and normalized AE (NAE). The suggested NN models are compared with other well-known KN models and statistical software reliability growth models (SHGlvls) in order to evaluate performance, Experimental results show that the NN model with variable time interval information is necessary in order to predict cumulative failures in the variable future time interval.

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