• Journal of Acupuncture & Meridian Studies
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• v.11 no.6
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• pp.367-374
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• 2018

This study describes the reliability of pragmatic combinations of acupuncture points for lateral epicondylalgia (LE) as prescribed by physiotherapists who were experts in acupuncture. Raters (n = 14; 33-59 years) independently prescribed acupuncture points for 30 simulated human patients with LE who were surveyed via a printed questionnaire. The frequency and cooccurrence of acupuncture points prescribed for patients with lateral epicondylitis were assessed. Absolute agreement and Light's kappa (${\kappa}_{Light}$) with 95% confidence interval (CI) were used to quantify the interrater agreement. Raters prescribed 103 unique acupuncture points in different combinations with a median (min-max) of 5 (0-11) acupuncture points. The most prescribed acupuncture point was LI-11 (297 of 420; 71%), and the most common cooccurring acupuncture points were LI-11 and LI-4 (160 of 420; 38%). The absolute agreement for prescribing the acupuncture points ranged from 70% (point GB-20) to 0% (points LI-10, SP-6, LI-11, GB-34, LI-12, and LI-4). Point LR-3 showed the highest interrater reliability for prescribing the acupuncture points [${\kappa}_{Light}=0.112$, 95% CI = (0.055-0.194)], whereas point LI-4 showed the lowest reliability [${\kappa}_{Light}=-0.003$, 95% CI = (-0.024 to 0.024)]. These findings suggest that pragmatic prescriptions of acupuncture points for LE are unreliable among physiotherapists who are experts in acupuncture. Explicit, high-level evidence-based rules for prescribing and teaching combinations of acupuncture points for LE are warranted.

• Journal of Platform Technology
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• v.9 no.3
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• pp.44-51
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• 2021

In general, golden time refers to the most important time in the initial response to accidents such as saving lives or extinguishing fires. The golden time varies from disaster to disaster, but is aimed at five minutes in terms of fire and first aid. However, for the actual site, the average dispatch time for ambulances is 9 minutes and the average transfer time is 17.6 minutes, which is quite large compared to the golden time. There are various causes for this delay, but the main cause is traffic jams. In order to solve the problem, the government has established emergency car concession obligations and secured golden time to prioritize ambulances in places with the highest accident rate, but it is not a solution in rush hour when traffic is increasing rapidly. Therefore, this paper proposed a deep learning-based emergency vehicle priority signal system using collected sound data by installing sound sensors on traffic lights and conducted an experiment to classify frequency signals that differ depending on the distance of the emergency vehicle.

• International Journal of Industrial Entomology and Biomaterials
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• v.41 no.2
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• pp.19-27
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• 2020

The aim of this study was to elucidate the difference in the amount of phytochemicals and anti-oxidant activities of the freeze-dried 5th instar 3rd day silkworm powder (FDSP) and 7 HongJams (HJs). Three primary colors of light of 8 silkworm powders revealed why each sample had unique color. The visual and absorption spectrum analyses of 80% methanol (MeOH) extracts of 8 silkworm powders revealed that white jade (WJ)-FDSP extracts showing strong forest-green colors had different absorption spectrum from 7 HJs. Among 7 HJs, the absorption spectrum of light green silkworm (LGS)-HJ extract was different from those of other HJ extracts. The amounts of total flavonoids and phenolic compounds of WJ-FDSP were 423.0±9.21% and 252.3±12.86%, respectively, more than those of WJ-HJ. Among 7 HJs, the amounts of total flavonoids and phenolic compounds in LGS-and red silkorm (RS)-HJ extracts were significantly more than those of WJ-HJ extract. Consistent with the amounts of phytochemicals, radical scavenging activity and reducing ability of WJ-FDSP extract were significantly higher that other HJ extracts. Among 7 silkworm powder extracts, LGS-HJ extract showed significantly higher radical scavenging activity and reducing ability than those of WJ-HJ extract. But, RS-HJ extract only showed significantly higher radical scavenging activity than that of WJ-HJ extract. Taken together, the amounts of phytochemicals in 8 silkworm powders contributed on their colors and anti-oxidant activities.

• International Journal of Oral Biology
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• v.46 no.1
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• pp.60-65
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• 2021

Dental health care workers (DHCW) are at a risk of occupational exposure to Helicobacter pylori from the aerosolized oral biofilms and saliva of patients. We designed this study to investigate the prevalence of H. pylori in the oral biofilms of a group of dental and non-dental undergraduates from Sri Lanka. After obtaining informed consent, oral biofilms were collected from 38 dental undergraduates (19 males and 19 females) undergoing clinical training and 33 non-dental undergraduates (14 males and 19 females). The participants were in the age range of 22-27 years and had healthy periodontium. Total DNA from the oral biofilms were extracted, and H. pylori DNA was detected using polymerase chain reaction (PCR) amplification of 16S rRNA gene of H. pylori using JW22-JW23 primers, and the results were confirmed using PCR amplification of H. pylori-urease specific HPU1-HPU2 primers. Out of 71 participants, 11 (28.95%) dental and 3 (9.09%) non-dental undergraduates had H. pylori in their oral biofilms indicating an overall prevalence rate of 19.72% (14/71). Thus, the prevalence of H. pylori in oral biofilms was significantly higher in dental undergraduates than in non-dental undergraduates (p < 0.05). An odds ratio of 4.07 indicated that dental undergraduates were four times more likely to harbor H. pylori in their oral biofilms than non-dental undergraduates. Foregoing data support the fact that there may be greater occupational risk of exposure to H. pylori for dental undergraduates during clinical training than that for non-dental undergraduates, warranting meticulous infection control practices during clinical dentistry.

• Journal of Advanced Navigation Technology
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• v.25 no.1
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• pp.17-28
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• 2021

Recently, eVTOL, the next-generation of eco-friendly transportation, has been in the spotlight due to global warming along with traffic jams in large cities of many countries. This study benchmark the external features of Hyundai Motors S-A1, a compound eVTOL combined fixed and tilt rotors among many types of eVTOLs, to create the basic configuration using reverse design techniques. Basic configurations were created using CATIA and aerodynamic analyses were performed using the aircraft design and aerodynamic analysis programs, OpenVSP, XFLR5, and the aircraft wetted area, drag, and lift were calculated after selecting the airfoil, incidence angle, and dihedral and anhedral angles through trade study. Also, required powers were estimated for completing the given mission profile and components weight and the total weight were predicted using the estimation formula and data survey.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1026-1031
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• 2021

With the development of global automotive technology and the expansion of market size, demand for vehicles is increasing, which is leading to a decrease in the number of passengers on the road and an increase in the number of vehicles on the road. This causes traffic jams, and in order to solve these problems, the number of illegal vehicles continues to increase. Various technologies are being studied to crack down on these illegal activities. Previously developed systems use trigger equipment to recognize vehicles and photograph vehicles using infrared cameras to detect the number of passengers on board. In this paper, we propose a vehicle occupant detection system with deep learning model techniques without exploiting existing system-applied trigger equipment. The proposed technique proposes a system to detect vehicles by establishing triggers within images and to apply deep learning object recognition models to detect real-time boarding personnel.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.2
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• pp.321-327
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• 2023

With the development of artificial intelligence, the prediction system has become one of the essential technologies in our lives. Despite the growth of these technologies, traffic congestion at intersections in the 21st century has continued to be a problem. This paper proposes a system that predicts intersection traffic jams using a Convolutional LSTM (Conv-LSTM) algorithm. The proposed system models data obtained by learning traffic information by time zone at the intersection where traffic congestion occurs. Traffic congestion is predicted with traffic volume data recorded over time. Based on the predicted result, the intersection traffic signal is controlled and maintained at a constant traffic volume. Road congestion data was defined using VDS sensors, and each intersection was configured with a Conv-LSTM algorithm-based network system to facilitate traffic.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.161-163
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• 2021

This urban centralization is expected to develop rapidly, with 75% of the population living in the city by 2035. Large cities are becoming unsustainable due to side effects such as environmental pollution, severe traffic jams, excessive energy depletion, and destruction of the natural ecosystem. In addition, the happiness index of citizens of large cities is also falling because of high crime rates and safety accidents, the work-life imbalance caused by inequality and polarization, and overly competitive education. To solve this problem, Smart City, an IT-based future city model, was born. The Korean government is also actively attempting to improve urban competitiveness and promote sustainable development through efficient construction and operation of smart cities as a national focus project. To support the effort, we review the basic directions and strategies of Sejong City's Smart City service infrastructure based on the comprehensive national land plan, Smart City plan, and Smart City strategy plan.

• Korean Journal of Construction Engineering and Management
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• v.24 no.1
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• pp.21-30
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• 2023

Excessive complaints and traffic jams occurred as customers who visited the Drive-thru waited in a long line. Company S recommends DT Pass to reduce the queues. Therefore, this study confirmed the improvement in performance of the queue increasing the number of stores operated by two servers insteaol of one using a queue model. And then confirmed performance improvement by dividing them into DT and DT Pass. After that, the L value derived through the queue model and the number of queues in each store were compared to calculate the number of queues to be additionally provided. Through this, the validity of selecting the minimum number of queues in the future is verified based on the results derived in this study.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.5D
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• pp.513-522
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• 2010

Underground construction for traffic networks, complexes, and storage facilities has risen as an effective land use plan for dealing with emerging problems such as overcrowded urban cities and traffic jams. This paper performed an economic feasibility analysis of the development of the integrated field management system which provides field workers and managers with 3D-based location tracking and clear communication during underground construction works. To conduct the analysis, processes and problems of field management for underground construction were analyzed and deduction in accidents and field management costs and productivity improvement were estimated as expected benefits. Based on computed benefits and costs, an economic analysis was conducted using Benefit/Cost ratio(B/C), Net Present Value(NPV), and Internal Rate of Return(IRR) and then sensitivity analysis was performed to cope with the uncertainty of assumed variables.