• Title/Summary/Keyword: Equipment control

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The Effect of Resistance Exercise with Vibration Stimulation on Balance and Gait of Experienced Back Pain Adults (진동자극 저항운동이 허리통증 경험자의 균형과 보행에 미치는 영향)

  • Ko, Min-Gyun
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.6
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    • pp.221-230
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    • 2020
  • The purpose of this study was to investigate the effect of resistance exercise with vibration stimulation methods on static balance and gait parameters in experienced back pain adults. This study was Three group pretest-posttest design. A total of 30 experienced back pain adults voluntarily participated in the study. Subjects were randomly assigned to the resistance exercise with 8 Hz vibration stimulation(n=10), resistance exercise with 30 Hz vibration stimulation(n=10), and lumbar stabilization exercise groups(n=10). The static balance and the gait parameters, as such stance phase, swing phase, stride length and cadence, were measured using balance measuring equipment and gait analysis treadmill at before and after 6 week. Intervention of each group were performed, three times a week for 6 weeks, and 30 minutes a day. The effect of intervention on static balance, stance phase, swing phase, stride length and cadence were significantly differences after 6 weeks in each group(p<.05). In the comparison of the effects between the groups, static balance and stance phase were significantly difference after 6 weeks(p<.05), but in the swing phase, stride length and cadence, there were no significant differences. As a result, it is considered that resistance exercise with vibration stimulation improved leg muscle strength by a mechanism causing muscle contraction, and the strengthened leg muscle enhanced had a positive effect on balance ability. And improved balance ability was considered a more positive effect on walking ability by allowing the body to stably control posture while moving.

Study on Structural Stability Analysis of Excavation Stage Considering Excavation Process and Supporting Materials in Room-and-Pillar Underground Space (격자형 지하공간에서 굴착 공정과 지보재를 고려한 굴착 단계별 구조 안정성 해석 연구)

  • Soon-Wook, Choi;Soo-Ho, Chang;Tae-Ho, Kang;Chulho, Lee
    • Journal of the Korean Geosynthetics Society
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    • v.21 no.4
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    • pp.21-29
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    • 2022
  • The room-and-pillar method or grid-type underground space is a method of forming a space by excavating the excavation part at regular intervals so that it is orthogonal and using natural rock mass as a structure. Such excavation may appear different in size from the excavation stage where the maximum displacement occurs depending on the excavation direction and sequence. In this study, considering the installation of support materials such as shotcrete and rock bolts for the optimal design of the excavation process, the safety and constructability of the design and construction of the grid-type underground space under specific ground conditions were analytically reviewed. The ground conditions were set using an numerical method, and the stress at pillar and displacement at center of room were considered for each excavation stage and construction type under a constant surcharge. The height of the space was 8m, which was set higher than the size of a general office, and was reviewed in consideration of equipment and plant facilities. In addition, the degree of displacement control according to the installation of support materials was reviewed in consideration of shotcrete and rock bolts.

Image Quality Analysis According to the of a Linear Transducer (선형 탐촉자에서 관심 시각 영역 변화에 따른 화질 분석)

  • Ji-Na, Park;Jae-Bok, Han;Jong-Gil, Kwak;Jong-Nam, Song
    • Journal of the Korean Society of Radiology
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    • v.16 no.7
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    • pp.975-984
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    • 2022
  • Since a linear transducer has an area of interest equal to the length of the transducer, the area of interest can be expanded using the virtual convex function installed in the device.However, it was thought that the change in the direction of the ultrasonic sound velocity according to the change in the visual area of interest would affect the image quality, so this was objectively confirmed. For this study, image evaluation and SNR·CNR of the phantom for ultrasound quality control were measured. As a result, in the phantom image evaluation, both images were able to identify structures in functional resolution, grayscale, and dynamic range. However, it was confirmed that the standard image was excellent in the reproducibility of the size and shape of the structure. As a result of SNR·CNR evaluation, SNR·CNR of most trapezoidal images was low, except for structures at specific locations. In addition, through the statistical analysis graph, it was further confirmed that the SNR and CNR for each depth decreased as the size of the cystic structure decreased. Through this study, it was confirmed that the use of the function has the advantage of providing a wide visual area of interest, but it has an effect on the image quality. Therefore, when using the virtual convex function, it is judged that the examiner should use it in an appropriate situation and conduct various studies to acquire high-quality images and to improve the understanding and proficiency of the equipment.

Classification of Diabetic Retinopathy using Mask R-CNN and Random Forest Method

  • Jung, Younghoon;Kim, Daewon
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.12
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    • pp.29-40
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    • 2022
  • In this paper, we studied a system that detects and analyzes the pathological features of diabetic retinopathy using Mask R-CNN and a Random Forest classifier. Those are one of the deep learning techniques and automatically diagnoses diabetic retinopathy. Diabetic retinopathy can be diagnosed through fundus images taken with special equipment. Brightness, color tone, and contrast may vary depending on the device. Research and development of an automatic diagnosis system using artificial intelligence to help ophthalmologists make medical judgments possible. This system detects pathological features such as microvascular perfusion and retinal hemorrhage using the Mask R-CNN technique. It also diagnoses normal and abnormal conditions of the eye by using a Random Forest classifier after pre-processing. In order to improve the detection performance of the Mask R-CNN algorithm, image augmentation was performed and learning procedure was conducted. Dice similarity coefficients and mean accuracy were used as evaluation indicators to measure detection accuracy. The Faster R-CNN method was used as a control group, and the detection performance of the Mask R-CNN method through this study showed an average of 90% accuracy through Dice coefficients. In the case of mean accuracy it showed 91% accuracy. When diabetic retinopathy was diagnosed by learning a Random Forest classifier based on the detected pathological symptoms, the accuracy was 99%.

A Study on the Space Composition for Department of Delivery in Regional Public Hospital (지역거점 공공병원의 분만부 공간구성에 관한 연구(1))

  • Park, Kyeong Hyeon;Shin, Hwa Kyoung;Chai, Choul Gyun
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.28 no.3
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    • pp.47-54
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    • 2022
  • Purpose: This study presents the analysis on space usage of delivery departments in regional public hospitals. The results intention is to achieve improvement of the delivery environment for the mothers and newborns regarding exposure prevention and efficient infection control. The purpose of this study is to provide fundamental data for architectural plans and guidelines for the delivery department. Method: The investigation and analysis were based on research papers, legal systems, public medical statistical data, and the architectural floor plan drawing. For research, 20 regional public hospitals with an operating delivery room were excluded. Regarding data accessibility, 15 regional public hospitals were selected. Results: To overcome the increased vulnerability of the delivery department, the research results of basic data is provided for the establishment to address urgent needs and rapid response. Thus, the research results are as follows: Firstly, the delivery department needs to respond promptly according to the type of patients. For example, in a case of emergency surgery, a connected circulation plan with the related departments is needed. Secondly, for the environment of the delivery area, alleviating anxiety is imperative for pregnant patients and guardians, labor, childbirth, and recovery. Therefore, these needs must be addressed for treatment space and circulation. Lastly, the delivery department is classified into three areas for analysis: access area, treatment area, and support area. In most of the delivery departments of the 15 selected hospitals, there is no space for the access and support area except for the labor and delivery rooms in the treatment area. For the access area, a waiting area, changing room for pregnant women and guardians, and a storage space for contaminated linens are required for infection prevention, safety, and efficiency. For the treatment area, childbirth processes and circulation should have space reserved for labor, delivery, recovery, examination, and treatment. In preparation for an emergency during childbirth, emergency response measures and supporting space needs to be established. For the support area, circulation and rooms are to be designed for medical staff support, activity space, storage and transportation of equipment, and urgent medical treatment. Implications: Along with the low fertility rate and the decrease of medical institutions that operate delivery departments, for the purpose of establishing a public medical service system and a healthy medical environment for mothers and newborns, the researched information demonstrates basic data on space plan of delivery departments in regional public hospitals.

Study on Verification of Applicability for a Warehouse Construction Site using a Fire Risk Assessment Tool (화재위험도 평가 Tool에 의한 물류창고 공사장 적용성 검증에 관한 연구)

  • YongGoo Seo;SeHong Min
    • Journal of the Society of Disaster Information
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    • v.19 no.3
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    • pp.673-688
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    • 2023
  • Purpose: Fires that occur during construction are infrequent, but cause great damage. Recently, with the growth of the logistics and distribution industry, the number of construction sites for new logistics warehouses is increasing, so it was selected as a research subject and research was conducted to reduce accidents at construction sites through the development of a fire risk assessment tool to quantitatively approach fire prevention. Method: A comprehensive fire risk assessment tool was accumulated by classifying the work in progress, classifying combustibles and ignition sources by grade, excluding air (oxygen), which is difficult to control, and additionally substituting evacuation safety. Result: Using the developed and proposed fire risk evaluation tool, excavation work with low fire risk, facility construction with medium fire risk, and finishing work with high fire risk were sampled to derive the result (CGI). Conclusion: In this study, it was possible to establish specific preventive measures and evaluate evacuation safety by controlling physical conditions (combustibles) and energy conditions (ignition sources) according to the risk assessment by developing a tool that can evaluate the risk of 14fire occurrence at construction sites. It is expected that in the future, through the application of the fire risk evaluation tool at construction sites, it will be provided as a criterion for establishing a process plan that can reduce risk and evaluating the adaptability of firefighting equipment.14

Design and Implementation of Real-time Digital Twin in Heterogeneous Robots using OPC UA (OPC UA를 활용한 이기종 로봇의 실시간 디지털 트윈 설계 및 구현)

  • Jeehyeong Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.189-196
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    • 2023
  • As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.

Exposure Assessment of Dust, Ultra Fine Dust(Particulate Matter 2.5, PM2.5) and Black Carbon among Aircraft Cabin Cleaners (항공기 기내 청소노동자의 분진, 초미세먼지(PM2.5) 및 블랙카본 노출수준 평가)

  • Hyunhee Park;Sedong Kim;Sungho Kim;Seung-Hyun Park
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.33 no.2
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    • pp.171-187
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    • 2023
  • Objectives: Aircraft cabin cleaning work is characterized by being performed within a limited time in a narrow and enclosed space. The objective of this study was to evaluate the exposure levels to dust, ultra fine dust(PM2.5) and black carbon(BC) among aircraft cabin cleaners. Methods: Active personal air sampling for respirable dust(n=73) and BC(n=47) was conducted during quick transit cleaning(cabin general and vacuum-specific) and seat cover replacement and total dust and PM2.5 were area-air-sampled as well. Also, size distribution of particle was identified with the cleaning workers targeted. Dusts were collected with PVC filters using gravimetric analysis. The concentration of PM2.5 and the particle size distribution were measured with real-time direct reading portable equipment using light scattering analysis. The concentration of BC was measured by aethalometer(filter-based real-time light absorption analysis instrument). Results: The geometric mean of respirable dust was the highest at vacuum cleaning as 74.4 ㎍/m3, following by replacing seat covers as 49.3 ㎍/m3 and cabin general cleaning as 47.8 ㎍/m3 . The arithmetic mean of PM2.5 was 4.83 ~ 9.89 ㎍/m3 inside the cabin, and 28.5~44.5 ㎍/m3 outside the cabin(from bus and outdoor waiting space). From size distribution, PM2.5/PM10 ratio was 0.54 at quick transit cleaning and 0.41 at replacing seat covers. The average concentration of BC was 2~7 ㎍/m3, showing a high correlation with the PM2.5 concentration. Conclusions: The hazards concentration levels of aircraft cabin cleaners were very similar to those of roadside outdoor workers. As the main source of pollution is estimated to be diesel vehicles operating at airports, and it is necessary to replace older vehicles, strengthen pollutant emission control regulations, and introduce electric vehicles. In addition, it is necessary to provide as part of airport-inftastructure a stable standby waiting space for aircraft cabin cleaners and introduce a systematic safety and health management system for all workers in the aviation industry.

Factors Affecting Satisfaction with Medical Service of the Elderly with Disabilities : Focusing on Health Characteristics and Medical Service Characteristic (장애노인의 의료서비스 만족도 영향 요인 : 건강 특성과 의료서비스 특성을 중심으로)

  • Kwak, Jee-Young;Shin, Eunkyoung
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.788-797
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    • 2022
  • The purpose of this study is to identify the satisfaction with medical services of the disabled elderly who have the highest need for medical services. For this purpose, the effect of health characteristics and medical service characteristics of the disabled elderly on medical service satisfaction was verified. The subjects of analysis were 3,323 persons with disabilities aged 65 or older who were taken from the national survey of people with disabilities in 2017. For statistical analysis, descriptive analysis, correlation analysis, and regression analysis were performed using the SPSS 26.0 program. The results of the study showed as follows. As a result of the regression analysis, gender (β= -.045, p<.05) and residence status (β= -.048, p<.05) among the demographic characteristics as control variables had a statistically significant effect on the level of medical service satisfaction. Among the health characteristics, IADL (β=-.044, p<.05) had a statistically significant effect on medical service satisfaction level. In the case of medical service characteristics, satisfaction with medical facilities and equipment (β = .290, p< .001), medical staff's level of understanding of disability (β = .404, p< .001), health-related service use (β = .182, p<.05) had a statistically significant effect on the level of medical service satisfaction. Based on the results, practical alternatives to ensure health equity in the community medical system were suggested in the discussion to enhance the health management and self-determination capabilities of the disabled elderly.

Study on Advisory Safety Speed Model Using Real-time Vehicular Data (실시간 차량정보를 이용한 안전권고속도 산정방안에 관한 연구)

  • Jang, JeongAh;Kim, HyunSuk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.5D
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    • pp.443-451
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    • 2010
  • This paper proposes the methodology about advisory safety speed based on real-time vehicular data collected from highway. The proposed model is useful information to drivers by appling seamless wireless communication and being collected from ECU(Engine Control Unit) equipment in every vehicle. Furthermore, this model also permits the use of realtime sensing data like as adverse weather and road-surface data. Here, the advisory safety speed is defined "the safety speed for drivers considering the time-dependent traffic condition and road-surface state parameter at uniform section", and the advisory safety speed model is developed by considering the parameters: inter-vehicles safe stopping distance, statistical vehicle speed, and real-time road-surface data. This model is evaluated by using the simulation technique for exploring the relationships between advisory safety speed and the dependent parameters like as traffic parameters(smooth condition and traffic jam), incident parameters(no-accident and accident) and road-surface parameters(dry, wet, snow). A simulation's results based on 12 scenarios show significant relationships and trends between 3 parameters and advisory safety speed. This model suggests that the advisory safety speed has more higher than average travel speed and is changeable by changing real-time incident states and road-surface states. The purpose of the research is to prove the new safety related services which are applicable in SMART Highway as traffic and IT convergence technology.