• Earthquakes and Structures
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• v.23 no.5
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• pp.445-462
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• 2022

To investigate and evaluate the seismic damage behaviors of steel reinforced recycled concrete (SRRC) filled circular steel tube composite columns, in this study, the cyclic loading tests of 11 composite columns was carried out by using the load-displacement joint control method. The seismic damage process, hysteretic curves and performance indexes of composite columns were observed and obtained. The effects of replacement rates of recycled coarse aggregate (RCA), diameter thickness ratio, axial compression ratio, profile steel ratio and section form of profile steel on the seismic damage behaviors of composite columns were also analyzed in detail. The results show that the failure model of columns is a typical bending failure under the combined action of horizontal loads and vertical loads, and the columns have good energy dissipation capacity and ductility. In addition, the replacement rates of RCA have a certain adverse effect on the seismic bearing capacity, energy consumption and ductility of columns. The seismic damage characteristics of composite columns are revealed according to the failure modes and hysteretic curves. A modified Park-Ang seismic damage model based on the maximum displacement and cumulative energy consumption was proposed, which can consider the adverse effect of RAC on the seismic damage of columns. On this basis, the performance levels of composite columns are divided into five categories, The interlayer displacement angle and damage index are used as the damage quantitative indicators of composite columns, and the displacement angle limits of composite columns at different performance levels under 80% assurance rate are calculated as 1/105, 1/85, 1/65, 1/28, and 1/25 respectively. On this basis, the damage index limits corresponding to each performance level are calculated as 0.045, 0.1, 0.48, 0.8, and 1.0 respectively. Finally, the corresponding relations among the performance levels, damage degrees, interlayer displacement angles and damage indexes of composite columns are established. The conclusions can provide reference for the seismic design of SRRC filled circular steel tube composite columns, it fills the vacancy in the research on seismic damage of steel reinforced recycled concrete (SRRC) filled circular steel tube composite columns.

• Journal of Wetlands Research
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• v.26 no.3
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• pp.197-203
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• 2024

The algal blooms in rivers can negatively affect water source management and water treatment processes, necessitating continuous management. In this study, a multi-classification model was developed to predict the concentration of chlorophyll-a (chl-a), one of the key indicators of algal blooms, using Tabular Prior Fitted Networks (TabPFN), a novel deep learning algorithm known for its relatively superior performance on small tabular datasets. The model was developed using daily observation data collected at Buyeo water quality monitoring station from January 1, 2014, to December 31, 2022. The collected data were averaged to construct input data sets with measurement frequencies of 1 day, 3 days, 6 days, 12 days. The performance comparison of the four models, constructed with input data on observation frequencies of 1 day, 3 days, 6 days, and 12 days, showed that the model exhibits stable performance even when the measurement frequency is longer and the number of observations is smaller. The macro average for each model were analyzed as follows: Precision was 0.77, 0.76, 0.83, 0.84; Recall was 0.63, 0.65, 0.66, 0.74; F1-score was 0.67, 0.69, 0.71, 0.78. For the weighted average, Precision was 0.76, 0.77, 0.81, 0.84; Recall was 0.76, 0.78, 0.81, 0.85; F1-score was 0.74, 0.77, 0.80, 0.84. This study demonstrates that the chl-a prediction model constructed using TabPFN exhibits stable performance even with small-scale input data, verifying the feasibility of its application in fields where the input data required for model construction is limited.

• Steel and Composite Structures
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• v.21 no.2
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• pp.343-356
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• 2016

As the common cast-in-place construction works fails to meet the enormous construction demand under rapid economic growth, the development of prefabricated structure instead becomes increasingly promising in China. For the prefabricated structure, its load carrying connection joint play a key role in maintaining the structural integrity. Therefore, a novel end plate bolt connecting joint between fully prefabricated pre-stressed concrete beam and high-strength reinforcement-confined concrete column was proposed. Under action of low cycle repeated horizontal loadings, comparative tests are conducted on 6 prefabricated pre-stressed intermediate joint specimens and 1 cast-in-place joint specimen to obtain the specimen failure modes, hysteresis curves, skeleton curves, ductility factor, stiffness degradation and energy dissipation capacity and other seismic indicators, and the seismic characteristics of the new-type prefabricated beam-column connecting joint are determined. The test results show that all the specimens for end plate bolt connecting joint between fully prefabricated pre-stressed concrete beam and high-strength reinforcement-confined concrete column have realized the design objectives of strong column weak beam. The hysteretic curves for specimens are good, indicating desirable ductility and energy dissipation capacity and seismic performances, and the research results provide theoretical basis and technical support for the promotion and application of prefabricated assembly frames in the earthquake zone.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.365-374
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• 2017

The purpose of this study is to verify relation between satisfaction of university education and royalty based on analysis of satisfaction survey result of enrolled all students in J regional university. The university royalty in addition to drop out rate is one of the key indicators of managing university performance and it is differentiated approach that has positive perspectives. Based on satisfaction survey results, first, there was a significant difference in satisfaction by school year and grade range. Second, the analysis result of logistic regression method that had been performed to verify the construct which affecting university royalty of students show that satisfaction with lecture, academic guidance, educational environment and self management in academic life were the significant impact on royalty. Also, the decision tree analysis show that top decision factor is self-satisfaction of university life to determine university royalty.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.231-237
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• 2007

Recently, numerous government institutions and information service organizations have shown interests in employing ISO 9001 Quality Management System(QMS) to increase their organizational performances. However, due to the gap between the system requirements and the process oriented goals in reality, they have not been able to merit from the ISO 9001 QMS. So, Korea Institute of Science and Technology Information(KISTI) has been designed a process oriented system by incorporating the process analysis results into the existing ISO 9001 system requirements for enhancing organizational competitiveness and promoting productivity through a process standardization. As a result, KISTI has been ISO 9001:2000 certificate in November 11, 2003. And we obtain a improvement of customer satisfaction and efficiency of work, reduction of work processing time using KQMS.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.333-339
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• 2012

This study involved a small business workers continuing education according to characteristics and job satisfaction by comparing the development of effective continuing education programs to improve workers' skills is to derive the key indicators. Job satisfaction than those below 40 in the 20s incentives, skills development, human resource management, organizational commitment was higher throughout the 20 to 30 units from 40 to 50 single professionals and young workers compared to their job satisfaction is higher, the number of years worked less than 5 years working in a different number of years than those in group incentives, skills development, human resource management overall significantly higher, rank in the lower position due to differences in job satisfaction was higher than the upper position, technical, administrative two trades was higher than Therefore, by improving job satisfaction in the workplace contributes to strengthening the competitiveness of enterprises and workers must strive to improve the quality of life.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.4199-4204
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• 2011

The dynamic modulus of hot mix asphalt is one of the important indicators to evaluate the durability and performance of asphalt pavement. In resent, the dynamic modulus is suggested by a key property of asphalt pavement design and analysis in AASHTO 2002 Design Guide and Korean Pavement Research Project(KPRP). Master curve from laboratory test results should be needed for pavement design and analysis. The process to get the master curve is standardized. But, there are some setup and testing error at low temperature(-$10^{\circ}C$) and high temperature ($55^{\circ}C$). In this paper, a simplified process which is used 3 testing temperatures (5, 21, 40) is adopted to get the master curve. Comparison was carried out for standard process and simplified process. The suggested process can be used to get the master curve of asphalt pavement, even though some difference was shown at high temperature.

• The Journal of Internal Korean Medicine
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• v.41 no.6
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• pp.1089-1099
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• 2020

Objective: The purpose of this study was to investigate the effect of cinnamon on the treatment of Parkinson's disease (PD) and to introduce its use in Korea. Method: We searched the experimental studies in electronic databases (PubMed, CNKI, Wanfang, CiNii, J-STAGE, Science ON, and OASIS) using the key search terms "cinnamic acid", "cinnamon", "cinnamomum", "Parkinson's disease", "Parkinson disease", "Parkinsonism", and "dopamine". This study only involved experimental studies (in vivo and in vitro) that adopted cinnamon as a single administration and measured indicators relating to Parkinson's disease, including parkin, tyrosine hydroxylase (TH), and dopamine. Results: A Total of 11 literature studies were selected, and they all showed that treatment with cinnamon has a neuroprotective effect. Cinnamon activated neuroprotective factors and restored neurotransmitters and it reduced the rate of oxidative stress and inflammation in neurons. As a result, cell viability was upregulated, while cell apoptosis and neurodegeneration were downregulated. Five in vivo studies, through behavioral tests, also confirmed that cinnamon recovers locomotor function in PD models. Conclusion: We identified that cinnamon is an effective neural protector and improves motor performance in behavioral testing in the experimental PD studies.

• Journal of Korean Society for Quality Management
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• v.51 no.2
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• pp.155-170
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• 2023

Purpose: Nowadays, the risk assessment system is widely used in many industrial and public areas to reduce the possible risks. The system is used to determine the priorities of the government quality assurance works in Defense Agency for Technology and Quality. However, as the risk assessment system is used for other purposes, there are some items that need improvement, and in this study, we propose improvement plans by benchmarking the risk assessment systems of other institutions. Methods: In this paper, first, the procedures of risk assessment system used in many industrial sites were reviewed, and how each institution specialized and applied the system. Afterwards, by benchmarking various risk assessment systems, an improvement plan on how to operate the risk assessment system in the case of government quality assurance for centrally procured military supplies was presented, and practical application cases were presented to prove the usefulness of the improvement plan. Results: The proposed risk assessment system differs from the existing system in five major aspects. First, inputs, outputs, and key performance indicators were specified from the systematic point of view. Second, risk analysis was analyzed in four dimensions: probability of occurrence, impact, detection difficulty. Third, risk mitigation measures were classified, control, transfer, and sharing. Fourth, the risk mitigation measures were realized through document verification, product verification, process verification, and quality system evaluation. Finally, risk mitigation measures were implemented and the effectiveness of the risk mitigation measures was evaluated through effectiveness evaluation. Conclusions: In order for the risk assessment procedure proposed in this study to be applied to actual work, it is necessary to obtain the consent of the person involved in the work due to the increased time for risk identification and preparation of the government quality assurance log, and a change in the information system that performs the actual work is required. Therefore, the authors of this study plan to actively perform internal seminar presentations and work improvement suggestions to apply these research outputs to actual work.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3218-3241
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• 2023

Financial fraud undermines the sustainable development of financial markets. Financial statements can be regarded as the key source of information to obtain the operating conditions of listed companies. Current research focuses more on mining financial digital data instead of looking into text data. However, text data can reveal emotional information, which is an important basis for detecting financial fraud. The audit opinion of the financial statement is especially the fair opinion of a certified public accountant on the quality of enterprise financial reports. Therefore, this research was carried out by using the data features of 4,153 listed companies' financial annual reports and audits of text opinions in the past six years, and the paper puts forward a financial fraud detection model integrating audit opinions. First, the financial data index database and audit opinion text database were built. Second, digitized audit opinions with deep learning Bert model was employed. Finally, both the extracted audit numerical characteristics and the financial numerical indicators were used as the training data of the LightGBM model. What is worth paying attention to is that the imbalanced distribution of sample labels is also one of the focuses of financial fraud research. To solve this problem, data enhancement and Focal Loss feature learning functions were used in data processing and model training respectively. The experimental results show that compared with the conventional financial fraud detection model, the performance of the proposed model is improved greatly, with Area Under the Curve (AUC) and Accuracy reaching 81.42% and 78.15%, respectively.