• Korean Journal of Veterinary Service
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• v.25 no.4
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• pp.333-346
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• 2002

We previously reported that the equine herpesvirus type 1(EHV-1) immediate-early protein(IE protein) physically interacts with the general transcription factor human TFIIB(Jang et al, J Virol 75：10219-10230, 2001). The interaction between the IE protein and TFIIB is necessary for the IE protein to efficiently transactivate the early TK and late IR5 EHV-1 promoters. A panel of deletion and truncation mutants of the TFIIB gene was constructed and employed in protein-binding assays to map the IE protein-binding domain within TFIIB. Evidence is presented that the first direct repeat of TFIIB interacts specifically with the EHV-1 IE protein.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.239-254
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• 2006

In mold structure machining, tool interference is a phenomenon which results from a collision between a blade of tool and a workpiece. Also tool collision is a phenomenon which results from a collision of holder with the object to be machined. These phenomena not only cause damages to mold and tool but also increase machining time and cost. To detect a collision of a tool to mold structure, first of all, the mold structure and a tool must be defined with famous geometric models such CSG, B-rep, and Voxel. A tool is defined as a combination of the blade, the shank, and the holder. This thesis reviews various collision detection algorithms using z-map and computer 3D graphic collision detection algorithms for the tool in machining a mold structure.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.3
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• pp.421-428
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• 2021

Identifying which international maritime legal instruments are mandatory or recommendatory is complicated task even for maritime regulatory bodies. Although International Maritime Organization (IMO) had tried to ease the complexity by adopting guidelines on uniform wordings for making reference to other instruments in IMO parent conventions, there has still been some confusion identifying the mandatory status of IMO instruments. The aim of this study was to map out a step-based guideline to resolve the complexity of the mandatory status of IMO instruments to the maximum extent possible. This study reviewed the history of IMO rule-making process to find the root cause of the problem, then analyzed the approaches of regulatory enforcement bodies to check the practices. In conclusion, readers are directed to find such information as to legal status of IMO instruments and an improvement is proposed to enhance the transparency of information sharing for maritime industry to make better informed decisions.

• Journal of The Korea Institute of Healthcare Architecture
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• v.26 no.2
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• pp.19-30
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• 2020

Purpose: The ratio of the visually impaired is gradually increasing due to various causes such as natural aging, accidents, and environmental changes. Therefore, this study has two folds. Firstly, it aims to analyze the current satisfaction level with information facilities for the visually impaired. Secondly, it aims to examine the factors affecting the satisfaction with indoor information facilities. Through this study, it helps to identify problems of information facilities for the visually impaired and it works as a practical data for further improvements. Methods: For 50 visually impaired people, a telephone survey was conducted on the satisfaction with the braille blocks, braille signboards, braille information boards with tactile map, audio guide devices, and safety egress devices. Microsoft Excel and SPSS 26.0 were used for the analysis. Results: It was confirmed that the overall satisfaction with the indoor information facilities was very low. The more the visually impaired people recognized the installation standards, and the better the maintenance was, the higher the satisfaction. In the case of braille blocks and braille signboards, the effect of information transfer on satisfaction was relatively high. In the case of audio guide device and safety egress device, the standard suitability influenced satisfaction. Implications: The low level of satisfaction with the overall information facilities can impede visually impaired people from receiving practical help through the information facilities. Factors influencing the satisfaction level of each facility were identified, which makes it possible to prepare effective improvement measures.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.5
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• pp.389-396
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• 2020

In this paper, a cultivation traceability system to implement smart agriculture developed and implemented, and in particular, devised a system that manages the cultivation traceability of grains that are difficult to grow in smart farms. Mobile and web programs based on smart devices are designed, and the collected information is stored in a DB server and can be used as big data. In addition, real-time location information and agricultural activity information can be matched using an electronic map(Vworld) based on GIS/LBS applying GPS of a mobile device. By designing the cultivation traceability information DB required in the field, the farmhouse, farmers, and cultivation information were developed to make it easy for managers to use, and implemented mobile and web programs in the field. The system is expected to raise the quality and safety management capabilities to the next level in response to variables such as labor saving effect and climate change.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.4
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• pp.221-229
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• 2015

The urban crimes that threat individual's safety are parts of the serious social problems. However. the information of crime in Korea has only been provided by forms of hot spots around place of crime, or forms of crime statistics without positional information. Those could not provide enough information to users in identifying the vulnerable areas for substantive crimes. Therefore, this study suggested a methodology of extraction in criminal vulnerable areas by using the spatial information, the statistical information and the public sector information. The crime vulnerable areas were extracted through the grid-based spatial analysis and the overlapping analysis from each of the information. In fact, the extracted areas were able to provide detailed vulnerability information than the traditional hot spot-based crime information. Following the study, the extracted results in crime vulnerable areas have displayed highly coincide with Korea safety map, provided by national disaster management institute, which regards to be able to provide crime risk rating in terms of administrative business in future.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.4
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• pp.82-98
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• 2021

In recent years, as the number of ground subsidence has increased nationwide, the latest and usefulness of underground information for underground space development and underground safety management has become more important than ever. However, the 3D Underground Geospatial Map project, which started in 2015, has a problem with the manual-based long-term update system. This research paper overcomes these limitations and automatically updates the 3D CAD/GIS-based integrated management of underground structures that can be managed automatically from a full-cycle perspective of underground structure data management such as processing, transformation, updating, management, and visualization of 2D/3D underground structure data. If this technology is applied, it is possible to integrate processing and update management of the existing complex 3D construction logic of underground structures in one system, and it is expected that it can be used for underground space development and underground safety management as a foundation technology for automatic update of underground structures data.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.2
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• pp.115-120
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• 2015

Recently, in automotive technology area, intelligent safety systems have been actively accomplished for drivers, passengers, and pedestrians. Also, many researches are focused on development of autonomous vehicles. This paper propose the application of LiDAR sensors, which takes major role in perceiving environment, terrain classification, obstacle data clustering method, and local map building for autonomous driving. Finally, based on these results, planning for lane change path that vehicle tracking possible were created and the reliability of path generation were experimented.

• Journal of The Korean Society of Agricultural Engineers
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• v.46 no.5
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• pp.117-127
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• 2004

A risk analysis on the cutting slope of roads near Cheongju area was carried out with the data from geological map, field investigation, and laboratory test and with the Geographic Information System. A risk analysis method on the cutting slope of road using the Geographic Information System was developed with the data from geological map, field investigation and laboratory tests. In the GIS, road factors which are safety factor, class of road, slake index, slope-protection works, and height of slope in the cutting slopes are classified into some ranks, and their weighting factors were taken into account. This method can be applied effectively to a road management.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.285-304
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• 2017

Big data information and pattern analysis have applications in many industrial sectors. To reduce energy consumption effectively, the eco-driving method that reduces the fuel consumption of vehicles has recently come under scrutiny. Using big data on commercial vehicles obtained from digital tachographs (DTGs), it is possible not only to aid traffic safety but also improve eco-driving. In this study, we estimate fuel consumption efficiency by processing and analyzing DTG big data for commercial vehicles using parallel processing with the MapReduce mechanism. Compared to the conventional measurement of fuel consumption using the On-Board Diagnostics II (OBD-II) device, in this paper, we use actual DTG data and OBD-II fuel consumption data to identify meaningful relationships to calculate fuel efficiency rates. Based on the driving pattern extracted from DTG data, estimating fuel consumption is possible by analyzing driving patterns obtained only from DTG big data.