• Radiation Oncology Journal
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• v.18 no.1
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• pp.67-72
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• 2000

Background :The authors have developed a Digital image chart(DIC) and digital Radiotherapy Record System (DRRS). We have evaluated the DIC and DRRS for reliability, usefulness, ease of use, and efficiency. Materials and Methods :The basic design of the DIC and DRRS was to build an digital image database of radiation therapy Patient records for a more efficient and timely flow of critical image information throughout the department. This system is a submit of comprehensive radiation oncology management system (C-ROMS) and composed of a picture archiving and communication system (PACS), a radiotherapy information database, and a radiotherapy imaging database. The DIC and DRRS were programmed using Delphi under a Windows 95 environment and is capable of displaying the digital images of patients identification photos, simulation films, radiotherapy setup, diagnostic radiology images, gross lesion Photos, and radiotherapy Planning isodose charts with beam arrangements. Twenty-three clients in the department are connected by Ethernet (10 Mbps) to the central image server (Sun Ultra-sparc 1 workstation). Results :From the introduction of this system in February 1998 through December 1999, we have accumulated a total of 15,732 individual images for 2,556 patients. We can organize radiation therapy in a 'paperless' environment in 120 patients with breast cancer. Using this system, we have succeeded in the prompt, accurate, and simultaneous access to patient care information from multiple locations throughout the department. This coordination has resulted in improved operational efficiency within the department. Conclusion :The authors believe that the DIC and DRRS has contributed to the improvement of radiation oncology department efficacy as well as to time and resource savings by providing necessary visual information throughout the department conveniently and simultaneously. As a result, we can also achieve the 'paperless' and 'filmless' practice of radiation oncology with this system.

• Journal of dental hygiene science
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• v.1 no.1
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• pp.53-59
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• 2001

This study was aimed to survey the level of service education in the people engaging in medical services and identify the influence of the education on their job performance. This study was conducted from February 10th, 2000 to March 10th, 2000, centering on Seoul and Kyonggi area. A total of 341 questionnaires were distributed for the survey. The result ware as followings: (1) In a question about the satisfaction over general medical services such as the location of medical institutions, medical equipments and devices, and the attitudes of medical personnel, the group with service education marked 4.07 while the group with no education earned 3.97, showing statistically significant difference(p<.05). (2) In the area of medical institutions image, level of medical services and promotion, the group with service education showed 4.01 while the group with no education gained 3.83, also showing statistically significant difference(p<.05). (3) No statistically meaningful difference was revealed in the area of satisfaction for over all medical services such as the contentment about the medical services being provided, rooms for improvement and the adequacy of the number of medical personnel. The group with education acquired 3.32, with the group with no education 3.34. (4) Satisfaction about the education and awareness about medical services were high in the group of dental hygienists and showed a statistically meaningful difference. (5) The average number of education recorded 1.83 and satisfaction over service education inside the hospital was low, registering 3.24. (6) Teamwork among the personnel in the hospital was 3.70, which is relatively high. The fulfillment over given tasks posted 3.56 and the recommendation for medical institutions was low, recording 3.24. (7) The necessity of medical service education for medical personnel gained 4.40, indicating heightened awareness over the need for service education.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.1
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• pp.82-95
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• 2015

This study is intended to obtain a guideline for creating a therapeutic garden soundscape in a psychiatric hospital by analyzing the psychological and physiological effects of auditory components on mental patients. The subjects were 27 inpatients at a psychiatric institute located in Jeollabuk-do. They were recommended by their doctors and had been diagnosed with mild cases of schizophrenia. The survey was carried out in October 2011. With regard to the study, the subjects listened to single sounds(the sound of flowing water, birdsong, wind chimes and music) and 4 sounds composed of some of these, and then Electroencephalography(EEG) and psychological effects were measured. The moving water sound was perceived as pleasing and revitalizing and the birdsong as sonorous and delightful. When designing a healing garden in a psychiatric hospital, the vitality of sound should be considered. In comparison to other single sounds, water sounds were highly preferred and had greater effects on psychological vitality. Music sounds had a significant effect on enhancing tranquility while water sounds affected on both psychological vitality and tranquillity. When comparing single sounds with combined sounds, single sounds such as running water for vitality and music for tranquility had a greater psychological effect than combined sounds. In terms of combined sound preferences, the combination of water and bird sounds had higher preference rates. Generally, combined sounds including water tended to have higher preference rates. The physiological effects of single sounds showed that music had a greater therapeutic effect than natural sounds such as water sounds and birdsong in promoting tranquility. As for combined sounds adopted to enhance physiological tranquility, it is most appropriate to combine music and birdsong or music and water sounds. However, a single music sound is more effective than combined sounds. Overall, analyses of both psychological and physiological reactions showed music and water sounds to be most calming while water sounds promoted the greatest vitality.

• Journal of the Korean Society of Radiology
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• v.17 no.6
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• pp.827-833
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• 2023

CT(Computed Tomography) contrast agents are commonly used in general hospitals and university hospitals when taking radiographic examinations. The CT contrast medium contains a mixture of a substance called "Iodine", which absorbs radiation energy and makes it appear white in the CT image, further improving the image quality. In addition, the CT contrast agent, which moves like blood in the blood vessels, clearly differentiates it from muscle and water, so CT contrast agents are widely used in hospitals. These CT contrast agents absorb X-rays, but in order to absorb X-rays, they must have a high density or a high radiation absorption coefficient. Since the CT contrast agent is injected into the blood vessels, if the density is high, the blood vessels are strained and the patient is in shock. For this reason, it is necessary to match the density similar to that of water and always pay attention to side effects. In addition, the amount of CT contrast medium is adjusted according to the patient's body shape, and the remaining contrast medium is discarded. However, This study tried to find out the idea of recycling it as a radiation shielding material. Since the CT contrast medium has a high radiation absorption coefficient at a density similar to that of water, the amount to absorb radiation is adjusted, the amount of contrast medium and the amount of water are adjusted, and the amount of radiation absorbed is determined by mixing with water. In addition, a study was conducted to find out the result of the difference in radiation absorption in various ways by comparing the radiation quality coefficient and absorption coefficient with other substances or materials in an environmentally friendly method harmless to the human body by mixing CT contrast medium and water.

• Journal of Life Science
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• v.18 no.3
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• pp.395-402
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• 2008

Level of microbial contamination was examined in four fish farms of Jeju east coast for sanitary indication of bacterial contamination such as heterotrophic bacteria, Escherichia coli O157:H7, Salmonella spp., Vibrio parahaemolyticus, Staphylococcus aureus, Bacillus cereus and total coliforms. The samples were collected and investigated from June to October in 2007. Bacterial species of S. aureus, B. cereus and Salmonella spp. were frequently detected from the seawater of above fish farms. Salmonella spp., S. aureus, B. cereus were detected in the range of $0{\sim}4.3{\times}l0^3,\;0{\sim}2.7{\times}l0^4,\;0{\sim}7.6{\times}l0^3$ CFU/ml, respectively, from the fish feed used in all four selected farms. Additionally, Salmonella spp., S. aureus, B. cereus were detected in oliver flounder (Paralichthys olivaceus) of these farms, however total coliforms and E. coli O157:H7 were not detected during our experimental period. For the production of microbiologically safe and healthy oliver flounder, proper quality control of feed, sanitation programs, and continuous monitoring of microorganism are essential practices, which required to include in the farm management system.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.459-464
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• 2017

This study aims to provide basic materials for marketing strategies of cosmeceuticals by investigating customers' recognition and satisfaction about cosmeceuticals targeting 161 adult men and women in their 20s to 50s and living in Seoul, Korea and then analyzing what should be improved for customers. According to the survey, many customers prefer cosmeceuticals due to the professionalism recognized by hospitals, the recommendation by doctors and the scientific image, though the recognition about cosmeceuticals is low among customers in their 40s or older because they are unfamiliar with the term. The survey also shows that the satisfaction about cosmeceuticals is very high in that 94.41% out of 49.85% total users said they were willing to repurchase them, while 72.22% out of 50.15% total nonusers said they wanted to purchase them. The greater knowledge about skin, the higher the interest in cosmetics and the aesthetic practice rate. When it comes to comparing cosmeceutical users and nonusers in choosing cosmetic products, the greater knowledge about skin, more nonusers consider brand recognition (r=.222, p<.05) and cosmetic ingredient (r=.245, p<.005); and more users convenience (r=.162, p<.05). Now that total customers' awareness of cosmeceuticals remains low yet, therefore, it is considered necessary to steadily promote them, enhance repurchase factors, and come up with strategies differentiated from ordinary cosmetics.

• Journal of the Korean Society of Radiology
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• v.13 no.2
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• pp.209-216
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• 2019

The purpose of this study was to suggest the optimum ambient illumination level for proper visualization in image inspection and reading on CRT and LCD monitors used for ultrasound and reading. The evaluators were divided into 4 groups: 20 (Ultra-sonographer: 20 groups (4 groups: ultra-sonographer, 1-5 years, 5 ultra-sonographers, 6 to 10 years, 5 ultra-sonographers, 11 to 15 years, The subjects were 32 questions. The evaluation method was image evaluation of ultrasonic soft copy images for 30 seconds per 10, 25, 100Lux ambient illumination. The evaluation results were evaluated as 6 points (Normal = Definitely no lesion), 2 points = possibly not a lesion, 3 points = probably not a lesion, 4 points = possibly a lesion, 5 points = probably a lesion, 6 points = Definitely a lesion). In this study, the results of ROC analysis according to ambient light illumination reading softcopy images used for lesion detection of all ultrasound images showed the highest sensitivity, specificity, and AUC results at 10Lux. It was found that optimal use of 10Lux for ambient light illumination would provide optimal detection of lesions in ultrasound soft copy images. Based on the future research data, it will be presented as basic data for designing ambient light brightness of ultrasound imaging laboratory and reading room.

• Journal of the Society of Disaster Information
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• v.20 no.1
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• pp.199-205
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• 2024

Purpose: This study aims to improve the recognition rate of Auto People Counting (APC) in accurately identifying and providing information on remaining evacuees in disaster-vulnerable facilities such as nursing homes to firefighting and other response agencies in the event of a disaster. Methods: In this study, a baseline model was established using CNN (Convolutional Neural Network) models to improve the algorithm for recognizing images of incoming and outgoing individuals through cameras installed in actual disaster-vulnerable facilities operating APC systems. Various algorithms were analyzed, and the top seven candidates were selected. The research was conducted by utilizing transfer learning models to select the optimal algorithm with the best performance. Results: Experiment results confirmed the precision and recall of Densenet201 and Resnet152v2 models, which exhibited the best performance in terms of time and accuracy. It was observed that both models demonstrated 100% accuracy for all labels, with Densenet201 model showing superior performance. Conclusion: The optimal algorithm applicable to APC among various artificial intelligence algorithms was selected. Further research on algorithm analysis and learning is required to accurately identify the incoming and outgoing individuals in disaster-vulnerable facilities in various disaster situations such as emergencies in the future.

• Journal of East-West Nursing Research
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• v.8 no.1
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• pp.113-125
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• 2003

This study is a descriptive investigation into the image of nurses, and attempted to help to advance the profession of nursing and to provide basic data for developing strategies to improve the image of nurses. The Subject of this study was a group of 380 persons from a K Medical Centre in Seoul, including the hospital patients and their guardians, as well as the doctors, assistants and hospital administrative staff. The data have been collected from the 10th to the 30th of May, 2003. We have developed a research tool of 40 questions divided into three categories using a tool developed by Kim, H.J and KIm, H.O.(2001) verifying its construct validity. The reliability of the tool was Cronbache's ${\alpha}=.97$, and by categories, Cronbach's ${\alpha}=.86$ for service image, Cronbach's ${\alpha}=.96$ for professional image and Cronbache's ${\alpha}=.90$ for social image. The collected data have been analysed according to the purpose of this study using SPSS WIN 11.0 for real number, percentage, factors analysis, multiple regression analysis, ANOVA and $x^2$-test, and the results are as follows: 1) There was a significant difference in the image of nurses by job series of the subjects; from patients and guardians for 4.01 to doctors 3.62, assistants 3.54 and staff members 3.41 (F=36.14, p=.000). As well, there was a significant difference in service, professional and social image categories according to the position of the subjects ($F=20.36{\sim}42.35$, p=.000). 2) The main factors that affect on formation the nurse's imaging came by direct experiences with nurses at hospitals for 81.3%, by looking at the every life of the nurses that the subjects personally know for 15.5%, by mass media for 1.6% and by the accounts from the others for 1.6%. 3) 78.4% of the subjects considered that the image of nurses on mass media is described better than for real, 8.2% believed that the image is described worse than for real, and only 13.2% of the subjects perceived that the image of nurses on mass media corresponds the image of nurses in actual life. 4) 74.5% of the subjects said that they got a better image of nurses after their hospitalization while 2% got a worse one and 23.5% said to have had no changes, and the period of hospitalization had no relevance to the image of nurses (X2=5.04, P=.489). However, while 16.8% of the subjects who spent less than one week in hospital said that they got a better image of nurses, 27.5% of those who spent longer than four weeks got a better image of nurses. 5) There was a significant difference in the total image points of nurses by the patients and their guardians according to the period of hospitalization; 4.14 for 1 to 2 weeks, 4.07 for 2 to 4 weeks, 4.02 for 4 weeks and longer and 3.80 for less than a week (F=3.40, P=.019). Upon the results stated above, I should like to propose as below: 1) An investigative enquiry is needed to improve the image of nurses as though being a nurse is very hard and difficult. 2) A continuous monitoring in mass media is needed to create a positive image of nurses.

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.297-303
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• 2023

Pediatric Computed Tomography (CT) examinations can often result in exam failures or the need for frequent retests due to the difficulty of cooperation from young patients. Deep Learning Image Reconstruction (DLIR) methods offer the potential to obtain diagnostically valuable images while reducing the retest rate in CT examinations of pediatric patients with high radiation sensitivity. In this study, we investigated the possibility of applying DLIR to reduce artifacts caused by respiration or motion and obtain clinically useful images in pediatric chest CT examinations. Retrospective analysis was conducted on chest CT examination data of 43 children under the age of 7 from P Hospital in Gyeongsangnam-do. The images reconstructed using Filtered Back Projection (FBP), Adaptive Statistical Iterative Reconstruction (ASIR-50), and the deep learning algorithm TrueFidelity-Middle (TF-M) were compared. Regions of interest (ROI) were drawn on the right ascending aorta (AA) and back muscle (BM) in contrast-enhanced chest images, and noise (standard deviation, SD) was measured using Hounsfield units (HU) in each image. Statistical analysis was performed using SPSS (ver. 22.0), analyzing the mean values of the three measurements with one-way analysis of variance (ANOVA). The results showed that the SD values for AA were FBP=25.65±3.75, ASIR-50=19.08±3.93, and TF-M=17.05±4.45 (F=66.72, p=0.00), while the SD values for BM were FBP=26.64±3.81, ASIR-50=19.19±3.37, and TF-M=19.87±4.25 (F=49.54, p=0.00). Post-hoc tests revealed significant differences among the three groups. DLIR using TF-M demonstrated significantly lower noise values compared to conventional reconstruction methods. Therefore, the application of the deep learning algorithm TrueFidelity-Middle (TF-M) is expected to be clinically valuable in pediatric chest CT examinations by reducing the degradation of image quality caused by respiration or motion.