• Journal of Electrical Engineering and Technology
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• v.11 no.5
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• pp.1412-1422
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• 2016

• The Korean Nurse
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• v.32 no.5
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• pp.78-92
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• 1994

The purposes of this study were to evaluate the results of the hospital self inspection with the medical insurance and to offer basic materials to the medical insurance inspection and the education of medical insurance. The study was undertaken with 4,730 cases among the total 13,810 medical insurance in patients from Jan. 1990 to Dec. 1990 at one university hospital in Pusan. The major contents of the inspection were the omission of diagnosis and medical fee, curtailment, application mistake, the rates of inclusion, subtraction and total accumulation. The data were collected using patients charts and bills. The results of the paper analysis were as follows. 1. From the pre-discharge hospital self inspection, major omission were treatment and material fee but medication fee were moderately high and high curtailment was operation fee. 2. Decreasing order of operation fee adjustment were digestive(22.4%) muscular(22%) and neuro system operation(21.4%). Majority of the medication fee adjustments were injection form of medication(95.7%). 50% of the treatment fee adjustments were composed of injection fee(27.9%) and dressing or post-operative dressing fee(22.3%). 74.7% of material costs were composed of oxygen(30.6%), blood and the blood composed materials(44.1%). 3. Pre-discharge inspection showed 6% adjustment rate, 4.3% addition and 2.1% curtailment rate. Most of the adjustment were omission(66.1%). 4. Omission were divided by event omission(92.6%)and application mistake(7.4%). The decreasing order of omission fee were operation(21.84%), treatment(18.71 %) diagnosis(18.68%), medication (14.53%) and material costs(10.84%). So operation and treatment part were the major part of the total omission fee(40.55%). 5. The average omission of diagnosis were 1,800 per month.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.227-234
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• 2023

In this paper, we developed a design thinking-based artificial intelligence education program for middle school students and applied it to verify the impact on creative problem-solving skills. The inspection tool used the Creative Problem Solving Profile Inventory (CPSPI), an inspection tool for measuring creative thinking type ability based on the CPS theory of Hwasun Lee, Jungmin Pyo, Insoo Choe(2014). CPSPI included the steps of evaluating cognitive preferences and cognitive abilities by supplementing the limitations of existing tests, and sharing and persuading one's ideas with others. Before and after applying the design thinking-based artificial intelligence education program, as a result of analyzing the creative problem-solving ability, it increased significantly in all areas. As a result of analyzing the creative problem-solving ability of middle school students, significant results were found in the areas of Problem Detection and Analysis, Idea Generation, Action plan, Execution, Persuasion and Communication. The effect of design thinking was confirmed as a teaching and learning method to improve creative problem-solving ability in artificial intelligence education.

• Journal of the Semiconductor & Display Technology
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• v.12 no.1
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• pp.1-7
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• 2013

Grey-level statistical models have been widely used in many applications for object location and identification. However, conventional models yield some problems in model refinement when training images are not properly aligned, and have difficulties for real-time recognition of arbitrarily rotated models. This paper presents improved grey-level statistical models that align training images using image or feature matching to overcome problems in model refinement of conventional models, and that enable real-time recognition of arbitrarily rotated objects using efficient hierarchical search methods. Edges or features extracted from a mean training image are used for accurate alignment of models in the search image. On the aligned position and orientation, fitness measure based on grey-level statistical models is computed for object recognition. It is demonstrated in various experiments in PCB inspection that proposed methods are superior to conventional methods in recognition accuracy and speed.

• Journal of the Semiconductor & Display Technology
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• v.18 no.3
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• pp.144-149
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• 2019

This paper describes the results of a study on the unmanned maintenance robot that simultaneously performs the cleaning and inspection of the photovoltaic panels. The robot has a special adsorptive device, an infrared sensor, a vacuum level sensor and a camera. The robot uses two SSC (Sliding Suction Cup) adsorptive devices to move up and down the slope. First, the forces generated when the robot moves up the slope are mechanically analyzed, and the required design and control of the adsorption system are suggested. The robot was designed and manufactured to operate stably by using the presented results. Next, the normal force between the panel and the wheel was measured to confirm that the robot was manufactured and operated as intended, and the robot motion was tested on the inclined panel. It has been proven that robots are well designed and built to clean and inspect sloped panels.

• Journal of the Semiconductor & Display Technology
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• v.12 no.2
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• pp.57-61
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• 2013

This paper presents adaptive neuro-fuzzy inference based defect detection method for various defect types, such as micro-crack, fingerprint and contamination, in heterogeneously textured surface of polycrystalline solar wafers. Polycrystalline solar wafer consists of various crystals so the surface of solar wafer shows heterogeneously textures. Because of this property the visual inspection of defects is very difficult. In the proposed method, we use local binary feature and fuzzy reasoning for defect detection. Experimental results show that our proposed method achieves a detection rate of 80%~100%, a missing rate of 0%~20% and an over detection (overkill) rate of 9%~21%.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.1
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• pp.74-89
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• 2020

The purpose of this study was to develop a concept test tool for seasonal change with reliability and validity, and to objectively observe and analyze sub-concepts and misconceptions related to the concept of seasonal change to explain the relationship between variables. The development process of the conceptual change concept inspection tool consisted of the development of the inspection tool development plan, the development of the inspection tool draft, the modification of the preliminary inspection and inspection tools, the development of the final inspection tool, and the implementation of this inspection. The developed test tool can be used to provide students with appropriate learning and help by examining students' degree of seasonal change concept formation and analyzing the cause of the difficulty in concept formation. As a result of regression analysis of 198 students in 6th grade using the developed test tool, it was found that the understanding of pre-learning concept and correction of misconception had a statistically significant effect on the concept learned in the seasonal change unit, and misconception had greater effect. Correction of misconceptions had a significant effect on students above the average score among the two sections created and cut based on the average score, and on the students below the average score, the understanding of pre-learning concept had a significant effect.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.5
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• pp.1179-1191
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• 2013

Many sanitation control problems due to aging facilities and equipment were identified when applying an HACCP system to a flatfish (Paralichthys olivaceus) aquaculture farm. Specifically, the major problems included a lack of awareness about worker hygiene, lack of management of the use of fish medicines, and vulnerability to secondary contamination by cross-contamination owing to a failure to separate breeding tools used for healthy and unhealthy fish. Therefore, the management standards on the farm regarding the surrounding environment, facilities and equipment, breeding tools, feed and medication, and the hygiene of practitioners must be improved. The hygiene management standards were divided into different procedures such as the management of farm hygiene and environmental sanitation, facilities and equipment, fish hygiene, feed, medications, water, and the stocking and shipping of fish. For each procedure, we established the management standards, inspection period, inspection procedures, and how to deal with errors that occur, to enable hygiene management by a small number of managers. Additionally, an inspection system and record form to implement an HACCP system were developed to maintain systematic management. The management and inspection of all aspects of the farm were designed to be easily managed by the supervisor.

• Korean Journal of Adult Nursing
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• v.12 no.4
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• pp.717-726
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• 2000

This study was undertaken to examine the degree of knowledge and compliance of breast self-examination with women. The subjects for this study were 474 women aged 35-65 receiving health examination from Yonsu-ku Public Health Service Center in Inchon. Data collection was conducted through the use of 2 questionnaires. Analysis of the data was done by used of descriptive statistics, t-test, ANOVA, and Pearson Product Moment Correlation Coefficient. The results of this study were as follows: 1. There were significant differences in the breast self-examination compliance rate according to age(F=5.82, p=.000), marital status(F=2.67, p=.047), educational level (F=5.83, p=.000) and household income (F=3.41, p=.018). 2. The correct answer rate for each items of breast self-examination knowledge scale was between 14.1% of a minimum rate and 65.0% for a maximum rate of 100. The degree of knowledge for relation of breast cancer and menopause, the time of the highest occurance of breast cancer, the best time of breast self-examination and inspection methods of breast self-examination shows relatively low understanding. 3. The average score of breast self-examination was 1.34 from a maximum score of 6. The score of breast self-examination with palpation methods was higher than with inspection methods. 4. A positive correlation was found between breast self-examination knowledge and compliance rate (r=.417, p=.001). According to the results, it is necessary to provide knowledge of the relationship of breast cancer and menopause, the time of the highest occurance of breast cancer, and the best time of breast self-examination and inspection methods of breast self-examination. Also, it is necessary to provide detail guidance for inspection methods and develop a program for promoting the compliance of breast self-examination.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.1
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• pp.8-11
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• 2012

Automated Vision Inspection (AVI) systems automatically detect any defect feature in a surface image. The performance of the system can be measured under a special circumstances such as ultimate defect detection. In this situation, the defect signal level is similar to noise level and it becomes hard to make a solid decision with AVI systems. In this paper, we propose an effective preprocessing technique to enhance SNR (Signal to Noise Ratio). The method is motivated by some principles of HVS (Human Visual System) and RLC (Run Length Coding) techniques is used for this purpose. The proposed preprocessing technique enhances SNR under ultimate defect conditions and improves overall performance of AVI system.