Sang Yeob Kim;Dongsoo Lee;Jung-Doung Yu;Hyung-Koo Yoon
Smart Structures and Systems
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v.34
no.1
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pp.9-15
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2024
Oversampling algorithms are methods employed in the field of machine learning to address the constraints associated with data quantity. This study aimed to explore the variations in reliability as data volume is progressively increased through the use of oversampling algorithms. For this purpose, the synthetic minority oversampling technique (SMOTE) and the borderline synthetic minority oversampling technique (BSMOTE) are chosen. The data inputs, which included air temperature, humidity, and wind speed, are parameters used in the Fosberg Fire-Weather Index (FFWI). Starting with a base of 52 entries, new data sets are generated by incrementally increasing the data volume by 10% up to a total increase of 100%. This augmented data is then utilized to predict FFWI using a deep neural network. The coefficient of determination (R2) is calculated for predictions made with both the original and the augmented datasets. Suggesting that increasing data volume by more than 50% of the original dataset quantity yields more reliable outcomes. This study introduces a methodology to alleviate the challenge of establishing a standard for data augmentation when employing oversampling algorithms, as well as a means to assess reliability.
Kim, Chang-Yong;Chung, Taewon;Kong, Jaehyun;Seo, In-Su;Park, Chan-Soo
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.5
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pp.322-333
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2019
The purpose of the current study was to investigate the level of market size and market share of domestic research equipments for analyzing the difference of the number and amount of construction by the manufacturing countries in the basic and analytical science fields based on the information of the research equipment invested by the Korean government for the past 14 years. As of January 1 2019, from 2005 to 2018, 20,687 research facilities & equipments (main equipment with a construction cost of 30 million won or more) built in the basic and analytical science fields were selected for this study and their components, standard classification, number of construction, and amount of construction by country of manufacture were analyzed. Differences of the number and amount of construction among manufacturing countries were tested using a single sample chi-square test and one-way analysis of variance, followed by Bonferroni's post-hoc test. As a result of this study, the number of construction (p<.001) and construction amount (p<.05) were statistically different for each manufacturing country. The level of market size and market share was significantly different according to the equipment standard classification (p<.05). Therefore, differentiated strategies of the government and policy research projects will be required for each type of equipment and amount in order to support the policy for the localization of research equipment.
The purpose of this study is to develop and validate a tool that measures the satisfaction of virtual training learners' use of virtual training content. To this end, 491 copies of the basic questions derived from the satisfaction questions used by the K University Online Lifelong Education Center were used for the final analysis by conducting an online survey of learners who accessed STEP, the K University Online Lifelong Education Center portal. The 491 copies of data finally used were analyzed by methods such as basic question analysis, exploratory factor analysis, reliability analysis, and confirmatory factor analysis. First, in the basic question analysis, there were no questions that exceeded the acceptance criteria of an average of 4 points or more, skewness ±2, and kurtosis ±4. Second, the correlation coefficient for each sub-factor of virtual training content satisfaction derived after exploratory factor analysis was good as r=.682 to .822 (p<.01). The reliability coefficient for each sub-factor is content .849, content utilization .922, System and Operations Support .841, Intention to Continue Utilization .920, the overall reliability is. It was very high at .956 Fifth, as a result of confirmatory factor analysis, the compositional conceptual diagram is. It was .842 to .926, higher than the recommended standard of .7, and the average variance extraction degree. It appears to be .640 to .796, higher than the recommended standard of .5, which can be seen as representative of each constituent concept. As a result of verifying the validity of virtual training learners' content satisfaction recruitment, four factor models were derived: content substance, content utilization, system and operation support, and intention to continue use. This study is meaningful in that it empirically developed a tool to measure content satisfaction of virtual training learners and provided a reference frame and criteria.
Objectives: According to the Act on Registration, Evaluation, Etc. of Chemicals, new and existing chemicals must be registered by 2030. In addition, industries need to submit hazard data as an attachment during the registration process. Therefore, we constructed a nationwide chemical database to support small industry by providing hazard data and original sources. During the process, we developed a new standard procedure for minimizing errors and increasing reliability. Methods: We analyzed the categories of errors and the cause of the errors through the verification results of the 2019 project. We present an improved database construction methodology and system. Results: Errors are categorized according to their causative factors into simple, technical, and structural type errors. Simple errors arise simply because of decreased concentration or negligence in following the instructions. Technical errors are caused by a discrepancy between the professional field and the type of data. Structural errors indicate systemic errors such as incomplete forms on the excel database or ambiguity in the guidelines. Lessons from the errors collected in the 2019 project are used to update the procedures for database authorization and technical guidelines. The main update points are as follows; 'supplementation of review process', 'giving regular training to external reviewers', 'giving additional information to authors, like physico-chemical properties of substances, degradability, etc.', 'amendment of excel form', and 'guideline upgrades'. Conclusions: We conducted this study with the aim of improving the accuracy and reliability of the database of hazard information for chemical substances. The new procedures and guidelines are now being used in the 2020 project for construction of a hazard information database for Korea.
Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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v.15
no.2
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pp.81-86
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2004
Background and Objectives : In general, ambulatory 24-hour pH monitoring is considered the current gold standard for larynogopharyngeal reflux(LPR). There is no validated instrument whose purpose is to document the physical finding and severity of laryngopharyngeal reflux. The purposes of this study are to revaluate the validity and reliability of the reflux finding score(RFS) and to quantify laryngoscopic findings using reflux finding score. Material and Methods : Thirty-three LPR patients confirmed by dual-probe pH monitoring and thirty patients of control were selected. The RFS was documented for each patient with telescopic laryngoscopy before treatment. For test-retest intraobserver reliability assessment, a blinded laryngologists determined the RFS on two separate occasions. To evaluate interobserver reliability assessment, the RFS was determined by t재 different blinded laryngologists. Results : The mean age of the cohort with pH-documented LPR was 45.8 years and the mean RFS was 11.4. The mean age of cotrol subjects was 52 years and the mean RFS was 5.4. The mean RFS for laryngologist no. 1 was 10.8 at the initial screening and 10.9 at the repeat evaluation. The mean FRS for laryngologist no.2 was 11.1 at the intial test and 10.9 at the repeat evaluation. The correlation coefficient for interobserver variability was 0.93 and intraobserver variability was 0.94. Conclusion : The RFS demonstrates excellent inter-and introaobserver reproducibility and is helpful for quantifying laryngeal finding in LPR. We can be 95% certain that an individual with a RFS greater than 7 has LPR.
Transactions of the Korean Society of Mechanical Engineers A
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v.28
no.9
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pp.1408-1414
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2004
The use of flip-chip technology has many advantages over other approaches for high-density electronic packaging. ACF (anisotropic conductive film) is one of the major flip-chip technologies, which has short chip-to-chip interconnection length, high productivity, and miniaturization of package. In this study, thermal fatigue lift of ACF bonding flip-chip package has been predicted. Elastic and thermal properties of ACF were measured by using DMA and TMA. Temperature dependent nonlinear hi-thermal analysis was conducted and the result was compared with Moire interferometer experiment. Calculated displacement field was well matched with experimental result. Thermal fatigue analysis was also conducted. The maximum shear strain occurs at the outmost located bump. Shear stress-strain curve was obtained to calculate fatigue life. Fatigue model for electronic adhesives was used to predict thermal fatigue life of ACF bonding flip-chip packaging. DOE (Design of Experiment) technique was used to find important design factors. The results show that PCB CTE (Coefficient of Thermal Expansion) and elastic modulus of ACF material are important material parameters. And as important design parameters, chip width, bump pitch and bump width were chose. 2$^{nd}$ DOE was conducted to obtain RSM equation far the choose 3 design parameter. The coefficient of determination ($R^2$) for the calculated RSM equation is 0.99934. Optimum design is conducted using the RSM equation. MMFD (Modified Method for feasible Direction) algorithm is used to optimum design. The optimum value for chip width, bump pitch and bump width were 7.87mm, 430$\mu$m, and 78$\mu$m, respectively. Approximately, 1400 cycles have been expected under optimum conditions. Reliability analysis was conducted to find out guideline for control range of design parameter. Sigma value was calculated with changing standard deviation of design variable. To acquire 6 sigma level thermal fatigue reliability, the Std. Deviation of design parameter should be controlled within 3% of average value.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.11
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pp.6821-6829
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2014
The use of semiconductor devices as a component of eco-friendly motor vehicles has increased and their widespread use as high voltage switches is expected. On the other hand, in the case of high-voltage switches, reliability test equipment is not localized. To test high voltage switches, this paper analyzed the relevant test standards for developing power supplies. In particular, for the automotive semiconductor reliability test, the AEC (Automotive Electronic Council) Q101 was analyzed. Based on that, the standard specifications of the power supply were determined. For the main power circuit, the pull bridge converter was adopted and based on the specification, the circuit parameters were determined and verified by simulation. The interface for the parallel and pattern operation was designed. The characteristics of the power supply were tested.
The aim of this study was to translate and validate the revised Nottingham Sensory Assessment(rNSA) in Republic of Korea. A cross-sectional study was conducted to translate the rNSA into Korean using a modified forward/backward translation procedure. Inter-rater and intra-rater reliability, internal consistency, and concurrent validity were investigated to validate the Korean version rNSA. The Korean version rNSA showed excellent inter-rater reliability (r=0.92-1.00) and intra-rater reliability (r=0.93-1.00). Significant correlations were found between sensory assessment results of the Korean version of the rNSA and the Korean Fugl Meyer Assessment Sensory subscales (r=0.96). The Cronbach α value of internal consistency of Korean version rNSA was ranged from 0.73 to 0.90, the value of K-FMA-S was ranged from 0.70 to 0.88. In these results, psychometric properties of the Korean version of the rNSA achieved the standard level and can be feasible in clinical practice to assess sensory function following stroke in Republic of Korea.
Due to environmental regulations (RoHS, WEEE and ELV) of the European Union, electronics and automotive electronics have to eliminate toxic substance from electronic devices and system. Specifically, reliability issue of lead-free solder joint have an increasing demand for the car electronics caused by ELV banning. The authors prepared engine control unit and cabin electronics soldered with Sn-3.0Ag-0.5Cu (SAC305). To compare with the degradation characteristics of solder joint strength, thermal cycling test (TC), power-thermal cycling test (PTC) and series tests were conducted. Series tests were conducted for TC and PTC combined stress test using the same sample in sequence and continuously. TC test was performed at $-40{\sim}125^{\circ}C$ and soak time 10 min for 1000 cycles. PTC test was applied by pulse power and full function conditions during 100 cycles. Combined stress test was tested in accordance with automotive company standard. Solder joint degradation was observed by optical microscopy and environment scanning electron microscopy (ESEM). In addition, to compare with deterioration of bond strength of quad flat package (QFP) and chip components, we have measured lead pull and shear strength. Based on the series test results, consequently, we have validated of series test method for lifetime and reliability of Pb-free solder joint in automotive electronics.
Purpose: Dehydration is a paediatric medical emergency but there is no single standard parameter to evaluate it at the emergency department. Our aim was to evaluate the reliability and validity of capillary refilling time as a triage parameter to assess dehydration in children. Methods: This was a prospective pilot cohort study of children who presented to two paediatric emergency departments in Italy, with symptoms of dehydration. Reliability was assessed by comparing the triage nurse's measurements with those obtained by the physician. Validity was demonstrated by using 6 parameters suggestive of dehydration. Comparison between refilling time (RT) and a validated Clinical Dehydration Score (CDS) was also considered. The scale's discriminative ability was evaluated for the outcome of starting intravenous rehydration therapy by using a receiver operating characteristic (ROC) curve. Results: Participants were 242 children. All nurses found easy to elicit the RT after being trained. Interobserver reliability was fair, with a Cohen's kappa of 0.56 (95% confidence interval [CI], 0.41 to 0.70). There was a significant correlation between RT and weight loss percentage (r-squared=-0.27; 95% CI, -0.47 to -0.04). The scale's discriminative ability yielded an area under the ROC curve (AUC) of 0.65 (95% CI, 0.57 to 0.73). We found a similarity between RT AUC and CDS-scale AUC matching the two ROC curves. Conclusion: The study showed that RT represents a fast and handy tool to recognize dehydrated children who need a prompt rehydration and may be introduced in the triage line-up.
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