• The Journal of Korean Institute for Practical Engineering Education
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• v.1 no.1
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• pp.66-71
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• 2009

Simulator is being utilized usefully in industrial education. Especially, it is the best method to use for the higher value-added business or hazardous system to train. Also, it is needed to effect in forward-looking industrial education changing from theoretical education to hands-on training. Therefore, the development of equipment that can be used in both theory and experience class and its application to education help you to maximize the training effect on LPG transportation method when you work in the field. As a result of its applying to the education, the understanding of transportation system of educational equipment came out 4.86 points of 5 points, the utilization on site had 4.47 points/5 points, and the satisfaction has 0.5 points/4.48 points. The LPG transporting system(simulator) is considered effective when it is utilized in the education.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.543-550
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• 2022

Construction sites cannot escape the impact of the COVID-19 situation, and various efforts has been made to prevent this, such as strengthening on-site quarantine and minimizing face-to-face contact between personnel. In particular, there have been many changes in the operation of safety and health education, such as reduction in the number of training, and an increase in accidents due to negligence in safety and health education. Therefore, this study tried to establish an educational direction suitable for the COVID-19 era by survey on the actual conditions of safety and health education in the field and it is hoped that research sutures will contribute to the reduction of accidents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.332-340
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• 2021

The purpose of this study was to present a method for the application of drones through analysis after surveying Jeollanam-do firefighters regarding the recognition, operation, field of application, necessary field of work, and the need for education on fire drones. As a result of the survey, 80.29% of respondents were found to be willing to operate drones, and the fields of work for which drones were considered the most necessary were in the order of rescue, fire suppression, life safety, first aid, and others. Besides, 77.38% of respondents thought that drones could contribute to the prevention of safety accidents for firefighters, and 70.13% of respondents thought that it would be appropriate to recruit firefighting drone operators through changing positions, and respondents chose firefighters in their 40s as the most suitable age group for firefighting drone operation. Also, 82.84% of respondents said they would participate in drone training, and they recognized that the use of drones could contribute to solving the physical problems caused by the aging of firefighters, and that drone training would also help firefighters manage their retirement. The fields where firefighting drones are used were investigated in the order of searching for requestors, checking on-site information, and checking on-site prior risk. In this study, a difference analysis for each group was performed according to the drone operation experience. There was a statistically significant difference in the items of safety measures for requestors. The results of variance analysis by work experience confirmed that there were statistically significant differences in a total of eight items, including four items related to the field of use of drones, and the age group of the drone operating crew, and whether or not to help retirement management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6647-6654
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• 2015

The purpose of this study was to analysis a Korean version of Satisfaction with Simulation Experience(SSE) Scale by paramedic students. Total number of 111 students majoring in the EMT-paramedic education area have taken part in the survey after completing the professional cardiac resuscitation simulative training, using the standardized simulation satisfaction evaluation method (SSE scale). Through the scale, one's preference, necessity, ACLS theory grade, and satisfaction rate per year regarding the training were measured. To analyze one's preference, necessity, ACLS theory grade, and satisfaction rate per year in regards to the training, one-way ANOVA was used. The result reveals that the overall satisfaction rate was generally quite high. When one's preference and necessity rate is high, the satisfaction rate also seems to increase. The result indicates that the simulation training will enhance the students' clinical skill, patient evaluation, and treatment capability as well as one's field adaptation skill at the time of an emergency occurrence. Eventually, training through the ACLS simulation will be used in the future for the benefit of encouraging students from emergency rescue to adapt to the site of an emergency. Therefore, such an education method should be maintained and further developed.

• Journal of the Korean Institute of Gas
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• v.11 no.1 s.34
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• pp.13-17
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• 2007

It is very insecure to treat a butane can for cooking out of door. The human injury from the accidents of butane cans has been getting increased 1.5 times yearly since 2003. In this context, the Institute of Gas Technology Training in Korea Gas Safety Corporation carries out explosion experiment to make trainees to take all possible measures to ensure safe management of gas in the field by fully recognizing the hazards of gas explosion accidents. This study intends to examine the influence of such explosion experiments on the trainees witnessing nearby. The GEN exposed to the active students participating in the experiment away from 25 meters from the explosion site was 57.94 dB and the GEN to the passive students not participating away from 50 meters was 51.92 dB. According to Weber-Fechner's law for the lower value than 65 dB which is the environmental standard, it is safe from the place 15 meter far from the explosion place. The environmental standard of offices is 50 dB, and it is lower than the environmental standard if the office is 65 meter far from the explosion place.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1243-1244
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• 2022

In recent years, the growing interest in off-site construction has led to factories scaling up their manufacturing and production processes in the construction sector. Consequently, continuous large-scale site monitoring in low-variability environments, such as prefabricated components production plants (precast concrete production), has gained increasing importance. Although many studies on computer vision-based site monitoring have been conducted, challenges for deploying this technology for large-scale field applications still remain. One of the issues is collecting and transmitting vast amounts of video data. Continuous site monitoring systems are based on real-time video data collection and analysis, which requires excessive computational resources and network traffic. In addition, it is difficult to integrate various object information with different sizes and scales into a single scene. Various sizes and types of objects (e.g., workers, heavy equipment, and materials) exist in a plant production environment, and these objects should be detected simultaneously for effective site monitoring. However, with the existing object detection algorithms, it is difficult to simultaneously detect objects with significant differences in size because collecting and training massive amounts of object image data with various scales is necessary. This study thus developed a large-scale site monitoring system using edge computing and a small-object detection system to solve these problems. Edge computing is a distributed information technology architecture wherein the image or video data is processed near the originating source, not on a centralized server or cloud. By inferring information from the AI computing module equipped with CCTVs and communicating only the processed information with the server, it is possible to reduce excessive network traffic. Small-object detection is an innovative method to detect different-sized objects by cropping the raw image and setting the appropriate number of rows and columns for image splitting based on the target object size. This enables the detection of small objects from cropped and magnified images. The detected small objects can then be expressed in the original image. In the inference process, this study used the YOLO-v5 algorithm, known for its fast processing speed and widely used for real-time object detection. This method could effectively detect large and even small objects that were difficult to detect with the existing object detection algorithms. When the large-scale site monitoring system was tested, it performed well in detecting small objects, such as workers in a large-scale view of construction sites, which were inaccurately detected by the existing algorithms. Our next goal is to incorporate various safety monitoring and risk analysis algorithms into this system, such as collision risk estimation, based on the time-to-collision concept, enabling the optimization of safety routes by accumulating workers' paths and inferring the risky areas based on workers' trajectory patterns. Through such developments, this continuous large-scale site monitoring system can guide a construction plant's safety management system more effectively.

• Journal of Practical Agriculture & Fisheries Research
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• v.10 no.1
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• pp.29-41
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• 2008

This research was conducted to develop a technology transfer and farmer's extension of newly released technology of Bokto seeding method for crop and vegetable production based on the theory of Asian and Pacific Center for Transfer of Technology(APCTT). This technology has recently transferred to not only Korea but also other countries like North Korea, China, Japan, Taiwan, Russia and Africa(Cameroon, Sudan and South Africa) since 2005. It has known as a highly reduction of production cost in terms of labors, chemical fertilizer and pesticides as well as environmental friendly due to a deep and side banded placement of chemical fertilizer at basal application. In addition this technology was proven to a precision farming on sowing depth and mechanism of chemical application method and also highly resistant against disasters like typhoon, flooding, low temperature, drought and lodging due to silicate application. It has improved a constraints such as a poor seedling establishment, weed occurrence, lodging, low yield and poor grain and eating quality in the previous direct seeding methods but still have a problem in occurrence of weedy rice and ununiformed operation of wet or flooded soil condition. Also this technology has a limit in marketing and A/S system. Based on a theory of APCTT evaluation and analysis this technology may be more concentrated on establishment of a special cooperation team among researcher and scientists, extension workers, industry sections and governmental sectors in order to rapidly transfer this technology to farmer's field. Also there will be needed to operate a web site for this newly released technology to inform and exchange an idea, experiences and newly improved information. A feed back system might be operated in this technology as well to improve a technology under way on users' operation. Also user's manual will be internationally released and provided for farmer's instruction and training at field site.

• KSCI Review
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• v.2 no.2
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• pp.27-40
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• 1996

During the 21st century of informational society, in the learning of various field will utilize the education using multi-media more extensively than ever before. The biggest question is how effective the education using multi-media will be. For effective education, wide-spread supply of not only the hardware and various kinds of CBT or CAI that are being developed in the learning of various fields. It is also felt that the skill for application of more convenient multi-media authoring tool is needed. If the producter of such multi-media authoring tool can store various types of information in a form of data bank, accessing the right information at right time and its application would be possible. It can also provide a lot of information to many out-of town learmers. As seen above, the scope of usage for multi-media authoring tool will be broadened. However, no matter how excellent the Authoring Tool is, the results can be very different depending on the method employed. In order to develop CBT or CAI that can be better used in the learning of various fields, examination and on-site training, more reseach should be done in Authoring Tool using virtual reality and artifical intelligence technology.

• Korean Journal of Remote Sensing
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• v.38 no.1
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• pp.103-110
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• 2022

Since satellite images generally include clouds in the atmosphere, it is essential to detect or mask clouds before satellite image processing. Clouds were detected using physical characteristics of clouds in previous research. Cloud detection methods using deep learning techniques such as CNN or the modified U-Net in image segmentation field have been studied recently. Since image segmentation is the process of assigning a label to every pixel in an image, precise pixel-based dataset is required for cloud detection. Obtaining accurate training datasets is more important than a network configuration in image segmentation for cloud detection. Existing deep learning techniques used different training datasets. And test datasets were extracted from intra-dataset which were acquired by same sensor and procedure as training dataset. Different datasets make it difficult to determine which network shows a better overall performance. To verify the effectiveness of the cloud detection network such as Cloud-Net, two types of networks were trained using the cloud dataset from KOMPSAT-3 images provided by the AIHUB site and the L8-Cloud dataset from Landsat8 images which was publicly opened by a Cloud-Net author. Test data from intra-dataset of KOMPSAT-3 cloud dataset were used for validating the network. The simulation results show that the network trained with KOMPSAT-3 cloud dataset shows good performance on the network trained with L8-Cloud dataset. Because Landsat8 and KOMPSAT-3 satellite images have different GSDs, making it difficult to achieve good results from cross-sensor validation. The network could be superior for intra-dataset, but it could be inferior for cross-sensor data. It is necessary to study techniques that show good results in cross-senor validation dataset in the future.

• Journal of the Korean Institute of Landscape Architecture
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• v.31 no.1
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• pp.11-22
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• 2003

This landscape design proposal was presented to a design competition for the Incheon-city Southern Region Integrated Disposal Treatment Facility. The site is located in Dongchun-dong, Yeonsu-gu, Incheon. The main design concepts are as follows: First, considering connection of the site with surrounding water, inner sea is designed as an environmentally friendly place and as a leisure-sports theme park in which several sports facilities and relaxing places are arranged. It is also designed for everyone: people of all ages, disabled, workers, visitors and local residents. The design was processed on the basis of survey, analysis of surrounding competing facilities and SWOT analysis. Second, the ecological planting model was developed by analyzing the natural vegetation map in the surrounding area and planted vegetation types in the seaside reclamation area. The model was then applied to the ecological community, park area and roadside trees, so as to harmonize with the local habitat. Third, the project is intended to launch private capital for managing the sports park and golf course. This will enable a entrepreneur to make flexible plans for golf training field that is expected to yield a good financial return. It is expected that this design would serve the local residents as a symbolic, environmentally friendly leisure-sports theme park.