• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.382-386
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• 2011

It has been required to develop a defect detection system to perform defect detection capabilities after the bonding process in the production of RFID tags. However, we are difficult to design a system with understanding the characteristics of RFID tags and design concepts. Also we are difficult to modify even minor changes in features. In this paper, we design the defect RFID detection system using UML and object-oriented design techniques. We suggest the method for apply the UML Diagram to LabVIEW OOP and the technique for redesign the effect detection system's changes.

• Korean Journal of Psychosomatic Medicine
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• v.24 no.1
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• pp.66-73
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• 2016

Objectives : The purpose of this study was to investigate the characteristics of psychosocial factors related to functional dyspepsia(FD) and their effects on quality of life(QOL) in firefighters. Methods : This study examined data collected from 1,217 firefighters. We measured psychological symptoms by Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder questionnaire(GAD-7), Korean Occupational Stress Scale(KOSS), Ways of Coping checklist(WCCL), Rosenberg's Self-Esteem Scale(RSES) and World Health Organization Quality of Life Scale abbreviated version(WHOQOL-BREF). Chi-square test, independent t-test, Pearson's correlation test, logistic regression analysis, and hierarchical regression analysis were used as statistical analysis methods. Results : For the group with FD, the male participants showed significantly higher frequency(p=0.006) compared to the female participants. The group with FD had higher scores for depressive symptoms(p<.001), anxiety (p<.001), and occupational stress(p<.001), and did lower scores for self-esteem(p=.008), quality of life(p<.001) than those without FD. The FD risk was higher in the following KOSS subcategories: job demand(OR 1.94, 95% CI : 1.29-2.93), lack of reward(OR 2.47, 95% CI : 1.61-3.81), and occupational climate(OR 1.51, 95% CI : 1.01-2.24). In the hierarchical regression analysis, QOL was best predicted by depressive symptoms, self-esteem, and occupational stress. Three predictive variables above accounts for 42.0% variance explained of total variance. Conclusions : The psychosocial factors showed significant effects on FD, and predictive variables for QOL were identified based on regression analysis. The results suggest that the psychiatric approach should be accompanied with medical approach in future FD assessment.

• Asian Journal of Turfgrass Science
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• v.26 no.2
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• pp.129-134
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• 2012

Research was focused on the improvement of poor drainage problems on golf course fairway which had not been performed soil test or properly amended during the course construction. The analysis of the drainage problem basically was caused by a deterioration of soil physical properties by the top layer compaction. The soil hardness reached about 3,000 Kpa around 5~6 cm of soil profile. The slow infiltration speed to subsoil by the compaction was caused directly a poor drainage capacity. However, the properly amended sand soil showed an apparent value of 1,500 Kpa through the subsoil. The water content test showed a similar result that higher rate of 20~30% and ideal rate of 8~12% at poor drainage area and successfully amended area, respectively. However, an imported topsoil media which had higher content of silt and clay from a trans-planted sod had made a heterogeneous soil profile and that caused a poor drain capacity by a low infiltration rate. Those drainage problems triggered to buildup a reduced soil layer by poor soil gas exchange. The soil environment of deoxidation enhanced anaerobic microbial population and induced methane gas build-up to 55 ppm, and that resulted an adverse effect on turf growth by root growth retardation, consequently.

• Smart Media Journal
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• v.11 no.4
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• pp.46-55
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• 2022

It is very important to first detect and remove defective fruits with scratches or bruised areas in the automatic fruit quality screening system. This paper proposes a method of detecting defective areas in fruits using the latest artificial intelligence technology, the Yolo V4 deep learning model in order to overcome the limitations of the method of detecting fruit's defective areas using the existing image processing techniques. In this study, a total of 2,400 defective fruits, including 1,000 defective apples and 1,400 defective fruits with scratch or decayed areas, were learned using the Yolo V4 deep learning model and experiments were conducted to detect defective areas. As a result of the performance test, the precision of apples is 0.80, recall is 0.76, IoU is 69.92% and mAP is 65.27%. The precision of pears is 0.86, recall is 0.81, IoU is 70.54% and mAP is 68.75%. The method proposed in this study can dramatically improve the performance of the existing automatic fruit quality screening system by accurately selecting fruits with defective areas in real time rather than using the existing image processing techniques.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.5
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• pp.113-128
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• 2017

This Study Examined the Effects of Disgruntled Customers' Behaviors on the Emotional Dissonance of Service Workers, the Effects of Emotional Dissonance on Emotional Exhaustion, and the Effects of Emotional Dissonance on Turnover Intention and Customer Orientation. In Addition, this Study Examined the Moderating Effects of Emotional Labor Strategies(both surface acting and deep acting), in the Relationship Between Customers' Disgruntled Behaviors and Emotional Dissonance. A Survey was Conducted on Hospital Workers and Drew the Following Results. First, Disgruntled Behavior had a Positively Significant Effect on Emotional Dissonance. Second, Emotional Dissonance had a Positively Significant Effect on Emotional Exhaustion. Third, Emotional Exhaustion had a Positively Significant Effect on Turnover Intention but Negatively Significant Effect on Customer Orientation. Finally, According to a Hierarchical Regression Analysis, Disgruntled Behavior and a Moderating Variable, Surface Acting had a Significant Interaction Effect on Dependent Variable, Emotional Dissonance, but Disgruntled Behavior and a Moderating Variable, Deep Acting did not.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.426-436
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• 2017

The purpose of this study was to analyze factors affecting malnutritional status of elders with dementia in facilities. The subjects were 140 elders with dementia residing in three nursing facilities in Chungnam, South Korea. Data were collected from May 30 to September 30 in 2016, using questionnaires. The collected data were tested by t-test, ANOVA, correlation, regression analysis. The malnutritional status of elders with dementia in facilities was high in the high-risk group (84, 60.0%), and the nutritional status was appeared to be related to sex, long-term care grade, Korean version-Activities of Daily Living and feeding difficulty and cognitive function. As a result of multiple regression analysis, significant influence variables on malnutritional status were Activities of Daily Living(${\beta}=0.379$, p=.001), feeding difficulty(${\beta}=0.264$, p=.001), cognitive function(${\beta}=-0.187$, p=.014) and these variables showed an explanatory power of 35.9% on malnutritional status. The results of this study are expected to be used as basic data for the development of malnutritional status improvement program for elders in facilities with dementia.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.304-311
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• 2021

The purpose of this study is to empirically research the effect of jaycustomers behavior perception on emotional dissonance, job enthusiasm, and management performance. The sample was 327 beauty workers. The research methods were conducted by frequency analysis, factor analysis, reliability analysis, correlation analysis, and simple regression analysis. First, the study shows it was confirmed that the perception of jaycustomers behavior causes emotional dissonance and loss of job enthusiasm for beauty professionals. Second, it was confirmed that the perception of the behavior of jaycustomers had a statistically significant effect on emotional dissonance. Third, the perception of the behavior of jaycustomers had a statistically significant effect on management performance. Fourth, emotional dissonance had a statistically significant effect on job enthusiasm. Fifth, it was confirmed that management performance had a statistically significant effect on job enthusiasm. Therefore, it is believed the perception of jaycustomers behavior negatively affects beauty professionals.

• Journal of Internet of Things and Convergence
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• v.9 no.3
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• pp.81-86
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• 2023

SSD (solid state disk), which is flash memory-based storage device, has the advantages of high density and fast data processing. Therefore, it is being utilized as a storage device for high-capacity data storage systems that manage rapidly increasing big data. However, flash memory, a storage media, has a physical limitation that when the write/erase operation is repeated more than a certain number of times, the cells are worn out and can no longer be used. In this paper, we propose a method for converting defective multi-bit cells into single-bit cells to reduce the defect rate of flash memory and extend its lifetime. The proposed idea distinguishes the defects and treatment methods of multi-bit cells and single-bit cells, which have different physical characteristics but are treated as the same defect, and converts the expected defective multi-bit cells into single-bit cells to improve the defect rate and extend the overall lifetime. Finally, we demonstrate the effectiveness of our proposed idea by measuring the increased lifetime of SSD through simulations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1794-1799
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• 2022

Recently, the increasing number of overloaded vehicles on the road poses a risk to traffic safety, such as falling objects, road damage, and chain collisions due to the abnormal weight distribution, and can cause great damage once an accident occurs. therefore we propose to build an object detection-based AI model to identify overloaded vehicles that cause such social problems. In addition, we present a simple yet effective method to construct an object detection model for the large-scale vehicle images. In particular, we utilize the large-scale of vehicle image sets provided by open AI-Hub, which include the overloaded vehicles. We inspected the specific features of sizes of vehicles and types of image sources, and pre-processed these images to train a deep learning-based object detection model. Also, we propose an integrated system for tracking the detected vehicles. Finally, we demonstrated that the detection performance of the overloaded vehicle was improved by about 23% compared to the one using raw data.

• Information Systems Review
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• v.22 no.1
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• pp.113-124
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• 2020

In the operation of farms, it is very important to evaluate the quality of harvested crops and to classify defective products. However, farmers have difficulty coping with the cost and time required for quality assessment due to insufficient capital and manpower. This study thus aims to detect defects by analyzing the epidermis of fruit using deep learning algorithm. We developed a model that can analyze the epidermis by applying YOLOv3 algorithm based on Region Convolutional Neural Network to video images of peach. A total of four classes were selected and trained. Through 97,600 epochs, a high performance detection model was obtained. The crop failure detection model proposed in this study can be used to automate the process of data collection, quality evaluation through analyzed data, and defect detection. In particular, we have developed an analytical model for peach, which is the most vulnerable to external wounds among crops, so it is expected to be applicable to other crops in farming.