• Journal of Korean Society for Quality Management
• /
• v.21 no.2
• /
• pp.215-223
• /
• 1993

A paired comparison which is a method of comparative judgements is widely used to increase the amount of information transmitted to human sense organ. In this study, a paired comparison method is proposed for the discrimination capacity and preference analysis of non-skilled sensory inspectors. We consider on order effect, that is, difference of evaluation occurred as a result of sample presentation by random order. The purpose of this paper is to determine a sample with the highest preference degrees by analyzing a discrimination capacity and evaluating preference degrees of sensory inspectors. An analysis of a discrimination capacity is bared on the capacity index obtained by an eigen-vector method and an evaluation of preference degrees is performed by a significance test.

• Biomedical Science Letters
• /
• v.29 no.4
• /
• pp.302-313
• /
• 2023

Y chromosomal short tandem repeat (Y-STR) markers have been developed continuously to complement forensic DNA analyses and population genetic studies. Initially, we collected data from previously reported Korean population Y-STR haplotype studies on 1133 individuals. We then conducted a marker expansion analysis using a dataset from the Y-STR Haplotype Reference Database (YHRD), covering up to 29 Y-STRs, referred to as Ymax. Additionally, we examined the impact of rapidly mutating (RM) Y-STRs included in this expanded marker set on the discrimination capacity. We observed that marker expansions both with (0.9896), and without (0.9510), RM Y-STR improved the discrimination capacity. Subsequently, we focused on 16 individuals belonging to seven distinct groups sharing identical haplotypes. These particular haplotypes had been previously identified among 476 unrelated males using 23 Y-STR markers from the PowerPlex^® Y23 System. We expanded the marker panel up to Ymax to explore how discrimination improved with an expansion of Y-STR markers for these 16 individuals. Among the expanded markers, DYS627, which had high discriminatory power, had a high mutation rate (1.10 × 10^-2) and high gene diversity (0.83). In contrast, DYF387S1 displayed high gene diversity (0.95) but a relatively low mutation rate (2.80 × 10^-3). We propose that these findings will be valuable in the selection of suitable Y-STR markers, depending on the objectives of forensic analyses. Additionally, the presence of frequently observed Y-haplotypes in Korean population will facilitate statistical interpretation in Y-STR DNA profiling.

• Korean Journal of Cognitive Science
• /
• v.15 no.3
• /
• pp.1-14
• /
• 2004

This research examined the effects of individual differences on visual discrimination skill teaming and its transfer to novel stimuli. Individual participants were categorized as having an analytic or holistic cognitive style, high or low working memory capacity, and high or low levels of rationality, experientiality, and adaptive decision-making styles. Participants received easy or difficult training for the serially presented discrimination task, and then transferred to novel discriminations. Training content interacted with cognitive style and working memory capacity to affect transfer accuracy performance, but individual differences in decision-making styles did not affect transfer performance. Results suggest individual differences should be taken into account when designing an interface for visual discrimination.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.27 no.3
• /
• pp.29-43
• /
• 2024

Legally protected species are one of the crucial considerations in the field of natural ecology when conducting environmental impact assessments (EIAs). The occurrence of legally protected species, especially 'Endangered Wildlife' designated by Ministry of Environment, significantly influences the progression of projects subject to EIA, necessitating clear investigations and presentations of their habitats. In perspective of statistics, a minimum of 30 occurrence coordinates is required for population prediction, but most of endangered wildlife has insufficient coordinates and it posing challenges for distribution prediction through modeling. Consequently, this study aims to propose modeling methodologies applicable when coordinate data are limited, focusing on Rodgersia podophylla, representing characteristics of endangered wildlife and northern plant species. For this methodology, 30 random sampling coordinates were used as input data, assuming little survey data, and modeling was performed using individual models included in BIOMOD2. After that, the modeling results were evaluated by using discrimination capacity and the reality reflection ability. An optimal modeling technique was proposed by ensemble the remaining models except for the MaxEnt model, which was found to be less reliable in the modeling results. Alongside discussions on discrimination capacity metrics(e.g. TSS and AUC) presented in modeling results, this study provides insights and suggestions for improvement, but it has limitations that it is difficult to use universally because it is not a study conducted on various species. By supporting survey site selection in EIA processes, this research is anticipated to contribute to minimizing situations where protected species are overlooked in survey results.

• 한국노년학
• /
• v.39 no.4
• /
• pp.801-824
• /
• 2019

As becoming an aging society, there is a rising interest on dementia. But Dementia prevention program, executed at the national level, is in insufficient state. In this study, to design and diffuse Dementia prevention program, this study conduct Cognition improvement program and evaluate cognitive function in aspects of Discrimination, Organization, Thinking, Memorizing, and Concentration capacity. So that this study try to investigate how this Cognition improvement program will affect in detail to cognitive function in senior people. This study designed Silver Cognition program for 5 aspects of cognitive function; Discrimination, Organization, Thinking, and Concentration capacity. And this studyrecruited experimental group with control group, and conducted the program to them for 3 months. At the start and the end of the program, this study evaluated their MMSE-DS score, Geriatric depression scale, Quality of life score, and cognitive function test score by survey. Finally, this study compared and analyzed these first and second score to find the effects of this program to cognitive function. As the results compared between first and second score of MMSE-DS test, Geriatric depression scale, Quality of life scale, and cognitive function test, Silver Cognition program has a significant effects to improve cognitive function, MMSE-DS score and Geriatric depression scale. As the results of the test on cognitive function in 5 aspects, cognitive function is more improved in the order of Memorizing, Thinking, Concentration, Discrimination, and Organization capacity. After the Silver Cognition program, Memorizing and Thinking capacity have most improvement. But aging of brain function is faster in these two capacity, so if more concentrated education is conducted for these two capacity, then it will bring better effects for prevention of dementia.

• Journal of Korean Society of Disaster and Security
• /
• v.16 no.4
• /
• pp.123-128
• /
• 2023

This paper presents the results of an analysis of the discrimination accuracy of a bridge load carrying capacity estimation model based on data from inspection reports. The load carrying rate estimation model was derived using statistical methods through the collection of 2,161 inspection reports. By entering the bridge specifications and maintenance information, you can check the estimated load carrying capacity of the bridge. In order to verify the discrimination accuracy of the estimated load carrying rate model, the estimated load carrying rate was compared with the load carrying rate in the inspection and diagnosis report for 164 public bridges for which data was available. Although there are differences depending on the bridge type, the results were obtained with an accuracy of over 80% in determining the estimated load carrying capacity.

• Journal of the Microelectronics and Packaging Society
• /
• v.31 no.2
• /
• pp.45-53
• /
• 2024

The maintenance of semiconductor equipment is crucial for the continuous growth of the semiconductor market. System management is imperative given the anticipated increase in the capacity and complexity of industrial equipment. Ensuring optimal operation of manufacturing processes is essential to maintaining a steady supply of numerous parts. Particularly, monitoring the status of substrate transfer robots, which play a central role in these processes, is crucial. Diagnosing failures of their major components is vital for preventive maintenance. Fault diagnosis methods can be broadly categorized into physics-based and data-driven approaches. This study focuses on data-driven fault diagnosis methods due to the limitations of physics-based approaches. We propose a methodology for data acquisition and preprocessing for robot fault diagnosis. Data is gathered from vibration sensors, and the data preprocessing method is applied to the vibration signals. Subsequently, the dataset is trained using Gradient Tree-based XGBoost machine learning classification algorithms. The effectiveness of the proposed model is validated through performance evaluation metrics, including accuracy, F1 score, and confusion matrix. The XGBoost classifiers achieve an accuracy of approximately 92.76% and an equivalent F1 score. ROC curves indicate exceptional performance in class discrimination, with 100% discrimination for the normal class and 98% discrimination for abnormal classes.

• Journal of radiological science and technology
• /
• v.4 no.1
• /
• pp.37-44
• /
• 1981

It is a experimental report to investigate optimum exposure technics in angiocardiography. Because of x-ray absorption and rapid voluntary motion in the heart region, it bound that discrimination ability of the exposed film is being decreased in ACG To circumvent these disadvantage it must be necessary to use short time exposure technics and also high capacity equipment in ACG. But in the case of using the low tube voltage to improve contrast on the exposed film, it will be result in a many difficulties in interpretation of the image due to increased contrast in vertebral images. Therefore the ranges 80 kVp to 90 kVp of could be suitable for the purpose of good contrast and an excellent discrimination ability and under this circumstance the optimum grid ratio for ACG was 8:1 to 12:1.

• Physical Therapy Rehabilitation Science
• /
• v.5 no.1
• /
• pp.1-8
• /
• 2016

Objective: The present study was to investigate the discrimination capacity of the Performance Oriented Mobility Assessment-Gait Scale (POMA-GS), for predicting falls in stroke survivors. Design: Retrospective cohort study. Methods: Data including the characteristics and number of falls of 52 chronic stroke patients from a rehabilitation center were collected. The number of falls each subject had experienced in the previous year were investigated through interviews. The subjects were divided into two groups depending on the number of falls: if falls occurred twice or more on the basis of the time of study after stroke, they were defined as the falls group and if there was no fall experience or one fall, they were defined as the non-falls group. The subjects were examined with the POMA-GS, and physical functions were examined using by the One Leg Stand Test (OLST), Sit to Stand Test (SST), 10-m Walk Test, Lower Extremity in Fugl-Meyer assessment (FM-LE), and Trunk Impairment Scale (TIS). The validity of POMA-GS for falls prediction was analyzed. Results: In the POMA-GS, which predicts falls in stroke survivors, the cut-off value was 8.5 (sensitivity 72%; specificity 65%) and the area under the curve was 0.75 (95% confidence interval: 0.60-0.90, p<0.007). There was a significant difference in the OLST, SST, FM-LE, and TIS between the subjects with POMA-GS >8.5 and the subjects with POMA-GS ${\leq}8.5$. Conclusions: The POMA-GS could be a useful tool in predicting falls in stroke survivors, as its discrimination capacity and predictive validity is proven satisfactory.

• Food Science of Animal Resources
• /
• v.39 no.6
• /
• pp.934-942
• /
• 2019

Previous studies on dry aged beef, which substantially increases the value of low-grade raw beef and non-preferred cuts, are currently limited to the observation of aged beef changes in laboratory settings or under particular aging conditions, whereas the factors influencing aging have so far been underexplored. Herein, we attempt to establish a technique for distinguishing between fresh and aged beef by observing changes in quality during beef aging. Specifically, we analyzed the effect of time on the quality of aged beef sourced from three Korean manufacturers and identified quality indicators that can be used to distinguish between fresh and aged beef, regardless of supplier. Storage/trimming/aging/cooking losses, moisture/fat/protein/collagen contents, and water holding capacity were tested as potential indicators, among other parameters. As a result, the quality of dry aged beef was shown to be supplier-dependent, which made the identification of factors for the above origin-independent discrimination difficult. Nevertheless, as storage loss, water holding capacity, and cooking loss significantly changed with dry aging time in all cases, these parameters were concluded to be potentially suited for discrimination purposes. The insights gained in this work may help promoting further research in this field and contribute to the development of a standard for consistent aged beef production.