• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.7 no.4
• /
• pp.25-35
• /
• 2008

Variable Message Sign(VMS) is one of the subsystem of Intelligent Transportation Systems (ITS), which is useful for providing real-time information on weather, traffic and highway conditions. However, there are various situations such as incidents/accidents, constructions, special events, etc., which would be occurred on segments, it is unable to control traffic with only the VMS. Thus, it is essential to use of PVMS(Portable Variable Message Signs), which can move to the location needed traffic control and provide more active traffic information than VMS. This study developed a legibility distance model for PVMS messages using in-vehicle Differential Global Positioning Data(DGPS). Traffic conditions, drivers' characteristics, weather conditions and characteristics of PVMS message were investigated for establishing the legibility model based on multiple linear regression analysis. The factors such as height of PVMS characters, spot speed, age, gender and day and night were identified as dominants affecting the variation of legibility distances. It is expected that the proposed model would play a significant role in designing PVMS messages for providing more effective real-time traffic information.

• Journal of fish pathology
• /
• v.13 no.1
• /
• pp.7-13
• /
• 2000

Beginning in the summer of 1993, a serious mortality among cultured penaeid shrimp occurred in the western sea of Korea. The typical sign of this disease was white spots inside the surface of the carapace. Cytopathic effect (CPE) were not observed by virus in CHSE-214, RTG-2, but not by pH 11. A nonoccluded rod-shaped form virus was observed by electron microscopy in the lymphoid organ. The virion was bacilliform virus and sourrounded by a virion envelope. Its virion protein was found to be similar to hypodermal and hematopoietic necrosis virus (HHNBV) by analysis of virion proteins in SDS-PAGE. The genome of virus is double stranded DNA molecule whose full length was about 114kb. It was similar to penaeus acute viremia (PAV) of Japan.

• International Journal of Contents
• /
• v.15 no.4
• /
• pp.50-58
• /
• 2019

Baotu Spring Park, a must-visit place in Jinan, China, has been rated as the country's highest-level scenic spot by the Chinese government. However, social media that highly reflects public opinions tends to express a lower evaluation of Baotu Spring Park. Thus, this paper employs service design thinking methods to identify the problems of Baotu Spring Park and provide solutions from the perspective of visitors. Based on desk research, tourist behavior tracking, contextual interviews, and a customer journey map, it was found that the service gap of Baotu Spring Park lacks a unified and effective instruction system. Also, the activities, parking, and high-quality tourist souvenirs are deficient, and there is no online information delivery platform. Finally, five suggestions are made,-respectively:,- redesign the sign system, enhance the participation of tourists, redesign the tourist souvenirs and display space, offer parking areas and shuttle buses, as well as set up a dedicated application.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2000.11b
• /
• pp.60-76
• /
• 2000

Early detection in real-time response of slope movements ensures tremendous saving of lives and repair costs from catastrophic disaster Therefore, it is essential to constantly monitor the performance and integrity of slope-stabilizing structures such as Rock bolt, Nail and Pile during or after installation. We developed a novel monitoring system using Fiber Bragg Grating (FBG)sensor. It's advantages are highly sensitivity, small dimension and electro-magnetic immunity. capability of multiplexing, system integrity, remote sensing - these serve real-time health monitoring of the structures. Real-time strain measurement by the signal processing program is shown graphically and it gives a warning sound when the monitored strain state exceeds a given threshold level so that any sign of abnormal disturbance on the spot can be easily perceived.

• Journal of the Korean Geophysical Society
• /
• v.8 no.1
• /
• pp.7-14
• /
• 2005

Early detection in real-time response of slope movements ensures tremendous saving of lives and repair costs from catastrophic disaster. Therefore, it is essential to constantly monitor the performance and integrity of slope-stabilizing structures such as Rock bolt, Nail and Pile during or after installation. We developed a novel monitoring system using Fiber Bragg Grating (FBG) sensor. It's advantages are highly sensitivity, small dimension and electro-magnetic immunity. capability of multiplexing, system integrity, remote sensing - these serve real-time health monitoring of the structures. Real-time strain measurement by the signal processing program is shown graphically and it gives a warning sound when the monitored strain state exceeds a given threshold level so that any sign of abnormal disturbance on the spot can be easily perceived.

• Journal of Wetlands Research
• /
• v.17 no.1
• /
• pp.1-10
• /
• 2015

The bleaching phenomenon of otter spraints is indicates that the age of spraints (fresh or old spraints). As previous studies on the old otter faeces (spraint) have focused only on the external changes of spraints, it has been difficult to explain the difference of the decomposition rates among old spraints. We hypothesized that the micrometeorology difference caused by various characteristics of sprainting sites such as porosity and consistency of soil could affect the extent of the decomposition rate, the solar bleaching phenomenon of spraints used as a measure of the patterns of old spraints. Sprainting sites were classified into four types (Clay, Sand, Rock and Concrete spot) and each type was divided into two groups according to the sunlight condition (Sunny site and Shady site) to measure the effect of solar radiation. Micrometeorology of the sites were evaluated by measuring temperatures and humidities of the sites during the whole season. The variations in micrometeorology of the sunny sites according to the sprainting site types were examined with correlation analyses between the factors of micrometeorology. The analyses on the bleaching phenomenon of the spraints by micrometeorology showed that the highest rate of bleaching was found at the 'Rock spot' and 'Concrete spot' of the sunny site and especially in summer, the highest rate of bleaching ($63.4{\pm}7.6%$) was found at the 'Clay spot' of the sunny sites. The lowest rate of bleaching was found at the 'Sand spot' of the sunny sites. The above findings show that the difference in bleaching rates among sprainting sites was due to the seasonal or sunny condition. In addition, we found that the differences in thermal conductivity among sprainting site characteristics have resulted in different sprainting site temperature which have affected the rate of bleaching of spraints. In conclusion, this study suggests that studies of otters on their population size and home ranges using spraints as an indirect sign, should consider the effects of sprainting site characteristics and weather conditions.

• Journal of Applied Reliability
• /
• v.18 no.1
• /
• pp.20-32
• /
• 2018

Purpose: The purpose of this study is to set up an anomaly detection criteria for sensor data coming from a motorcycle. Methods: Five sensor values for accelerator pedal, engine rpm, transmission rpm, gear and speed are obtained every 0.02 second from a motorcycle. Exploratory data analysis is used to find any pattern in the data. Traditional process control methods such as X control chart and time series models are fitted to find any anomaly behavior in the data. Finally unsupervised learning algorithm such as k-means clustering is used to find any anomaly spot in the sensor data. Results: According to exploratory data analysis, the distribution of accelerator pedal sensor values is very much skewed to the left. The motorcycle seemed to have been driven in a city at speed less than 45 kilometers per hour. Traditional process control charts such as X control chart fail due to severe autocorrelation in each sensor data. However, ARIMA model found three abnormal points where they are beyond 2 sigma limits in the control chart. We applied a copula based Markov chain to perform statistical process control for correlated observations. Copula based Markov model found anomaly behavior in the similar places as ARIMA model. In an unsupervised learning algorithm, large sensor values get subdivided into two, three, and four disjoint regions. So extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior in the sensor values. Conclusion: Exploratory data analysis is useful to find any pattern in the sensor data. Process control chart using ARIMA and Joe's copula based Markov model also give warnings near similar places in the data. Unsupervised learning algorithm shows us that the extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior.

• Korean Journal of Environment and Ecology
• /
• v.25 no.3
• /
• pp.432-441
• /
• 2011

This study attempted to investigate and analyze the difference of recognition between local residents and tourists, with the parks where tourists visit much and tried to make promotion of park utilization and available way of park management. Data were collected from 222 visitors in Wolmi park from May 1 to May 4, 2009 through field questionnaire. The results of this research were as follows. First, the local residents and tourist showed the difference in terms of use of parks. For the additional facilities, the local residents and tourists had different point view. While local residents responded that the supplementation of relaxation facilities, was the most important, the tourists selected the sign board providing the information about the parks as the most important factor. Secondly, in accordance with the awareness survey on the tourist spots for the spatial link between Wolmi Park and other areas, the local residents and the tourists demonstrated the difference in the satisfaction on Wolmi-Do tourist spot and what to improve.

• Korean Journal of Acupuncture
• /
• v.35 no.1
• /
• pp.36-40
• /
• 2018

Objectives : Electronic moxibustion was developed to overcome the weakness of conventional moxibution. However, in spite of many benefits, it also can not be entirely free from the concern of burning. This study was performed to investigate the proper treatment time of electronic moxibustion. Methods : Male sprague-Dawley rats weighing about 350 g were used. Animals were anesthetized with sodium pentobarbital and shaved on the abdomen or back. The full charged-electronic moxibustion device was placed on the shaved site and it was observed if there happened any adverse event after treatment. Results : At the temperatures of 41, 43, and $45^{\circ}C$ there was no abnormal sign after moxibustion even in full time. However, at $47^{\circ}C$, the safe treatment time was 3 min. On the other hand, $49^{\circ}C$ produced diverse adverse events even in 1 min. Conclusions : Results of the present study suggest that the safe treatment time of electronic moxibustion is different according to the temperature. The most common adverse effect in this electronic moxibustion was the white spot and it is needed to observe whether there is any adverse event until 48 h after treatment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.162-164
• /
• 2022

Efforts are being made to prevent traffic accidents within the child protection zone. Efforts are being made to prevent accidents by enacting safety facilities and laws to prevent traffic accidents in the school zone. However, traffic accidents in school zones continue to occur. If the driver can know the situation in the child protection zone in advance, accidents can be reduced. In this paper, we design a camera that eliminates blind spots in school zones and a number recognition camera system that can collect pre-traffic information. Design a LIDAR system that recognizes vehicle speed and pedestrians. Design an LED guidance system that delivers information to drivers without smart devices. We study time series analysis and artificial intelligence algorithms that collect and process pedestrian and vehicle information recognized by cameras and LIDAR. In the artificial intelligence traffic accident prevention system learned by deep learning, before entering the school zone, the school zone information is sent to the driver through the Force Push Service and the school zone information is delivered to the driver on the LED sign. try to reduce accidents.