• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.144-146
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• 2004

It is known that Global Positioning System(GPS) is the most efficient navigation system because it provides precise position information on the all areas of Earth regardless of metrology. Until now, the size of GPS receivers has become smaller and the performance of receivers has become higher. So receivers provide the position information of not only static system but also dynamic system. Usually, users make similar movement trajectory according to their life pattern and it is possible to build up efficient database by collecting only the repeated users' position. Because position information calculated by the receiver is erroneous about 10-30m within 5% error tolerance, the position information is oscillated even on the same area. In this paper, we propose the system that can estimate whether users are out of trajectory or in dangerous situation by soft-computing method.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.11-18
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• 2019

It is widely known that agricultural plastic waste incineration by farmers may cause big forest fire or fine dust in rural areas. Hence, how to increase the rate of collection and recycling of the agricultural plastic waste is of concern to policy makers especially for rural environment. The purpose of this study is to find the determinants of the collection rate of agricultural plastic waste. This study used the data from 'Research on Agricultural Waste' by the Korea Environment Corporation from year 2012 to 2015 for 163 regions. This study found that the compensation rate for collection, the frequency of collecting services, and the quality of waste are important to increase the collection rate. And the regions with more elderly and low income people are more likely to have higher collection rate. Finally, the chief producing regions that are specialized in a certain crop shows higher collection rate.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.340-350
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• 2022

The big data term refers to the great volume of data and complicated data structure with difficulties in collecting, storing, processing, and analyzing these data. Big data analytics refers to the operation of disclosing hidden patterns through big data. This information and data set cloud to be useful and provide advanced services. However, analyzing and processing this information could cause revealing and disclosing some sensitive and personal information when the information is contained in applications that are correlated to users such as location-based services, but concerns are diminished if the applications are correlated to general information such as scientific results. In this work, a survey has been done over security and privacy challenges and approaches in big data. The challenges included here are in each of the following areas: privacy, access control, encryption, and authentication in big data. Likewise, the approaches presented here are privacy-preserving approaches in big data, access control approaches in big data, encryption approaches in big data, and authentication approaches in big data.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.2
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• pp.35.2-35.2
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• 2019

The next decade will see great advances in ground-based spectroscopic observing capabilities: facilities that are under development today will have larger collecting areas and greater spectroscopic multiplexing capabilities than ever before, and are sure to revolutionize the scientific productivity of our field. In this talk I will review the status of two of these next-generation facilities, the Giant Magellan Telescope's wide-field multiobject optical spectrograph, GMACS, and the Maunakea Spectroscopic Explorer project, a massively multiplexed spectroscopic facility currently under development in Hawaii that features an 11.25m diameter primary mirror which feeds 4,332 fibers and a suite of low- and high-resolution spectrographs. These two projects are scientifically quite complementary and both present exciting instrument development opportunities over the next few years.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.1122-1140
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• 2024

The importance of indoor positioning has grown in numerous application areas such as emergency response, logistics, and industrial automation. In ships, indoor positioning is also needed to provide services to passengers on board. Due to the complex structure and dynamic nature of ship environments, conventional positioning techniques have limitations in providing accurate positions. Compared to other indoor positioning technologies, Bluetooth 5.1-based indoor positioning technology is highly suitable for ship environments. Bluetooth 5.1 attains centimeter-level positioning accuracy by collecting In-phase and Quadrature (IQ) samples from wireless signals. However, distorted IQ samples can lead to significant errors in the final estimated position. Therefore, we propose an indoor positioning method for ships that utilizes a Deep Neural Network (DNN) combined with IQ fingerprint maps to overcome the challenges associated with accurate location detection within the ship. The results indicate that the accuracy of our proposed method can reach up to 97.76%.

• KIEAE Journal
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• v.10 no.1
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• pp.73-83
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• 2010

In urban regeneration, resident participation and respect of residents' need have become a major important issue. The purpose of this study is to identify residential area improvement characteristics expected by local residents. Data used for this study were collected from survey which used questionnaire and village image map construction tool kit, developed for facilitating the residents' participation in an actual housing improvement area at Kwngjoo, Korea. The major contents surveyed through questionnaire were first, future images of the area second, directions of improvement third, preferred architectural types such as high or low rise buildings. and a total of 335 data was collected within 4 days during 12-14 December, 2008. The kit was used by parents of students at a local elementary school, and 205 image maps were collected. Content analysis was to analyse characteristics of villages shown in the constructed image maps. Lynch's five elements were utilized to select areas for analysis. As a result, types of buildings desired by residents at the selected four local areas were identified. In general, residents desired their village to be improved with low and mid rise buildings, respecting existing cultural assets. This study showed that there is certain characteristics in relation to the selected areas. Besides, the tool kit used this study showed the effectiveness in collecting opinions from young households in the improvement area within a short time. The tool is expected to be useful in attracting residents and in facilitating participation of wide range of local residents by improving the constraints stemming from time and space.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.1
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• pp.27-51
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• 2023

The purpose of this study is to develop a policy for the use of libraries and the promotion of the reading culture by the characteristics of communities, along with changes in social environment. It, therefore, analyzed the general condition of libraries, infrastructures for libraries and reading culture and the environment including the relevant legal system in Chungcheongnam-do, and examined the actual conditions of inhabitants' (students and general people) use of libraries and reading culture, and librarians. On the basis of the findings, it proposed the policy for the use of 20 libraries and the promotion of the reading culture, by dividing Chungcheongnam-do into six regional settlement areas, discovering policy tasks for the use of libraries and the promotion of the reading culture and collecting suggestions from librarians living in Chungcheongnam-do, to reflect the characteristics of communities in Chungeongnam-do, and therefore, suggest a desirable policy agenda. To pursue the policy proposed, it is necessary to reinforce the role and the status of libraries representing for metropolitan regions and to secure adequate personnel and budgets, in addition to effort made by libraries located at regional settlement areas.

• Journal of the Ergonomics Society of Korea
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• v.34 no.6
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• pp.583-595
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• 2015

Objective: The purpose of this study was to determine the reliability of lower limb joint angles computed with the software ImageJ during jumping movements. Background: Kinematics is the study of bodies in motion without regard to the forces or torques that may produce the motion. The most common method for collecting motion data uses an imaging and motion-caption system to record the 2D or 3D coordinates of markers attached to a moving object, followed by manual or automatic digitizing software. Above all, passive optical motion capture systems (e.g. Vicon system) have been regarded as the gold standards for collecting motion data. On the other hand, ImageJ is used widely for an image analysis as free software, and can collect the 2D coordinates of markers. Although much research has been carried out into the utilizations of the ImageJ software, little is known about their reliability. Method: Seven healthy female students participated as the subject in this study. Seventeen reflective markers were attached on the right and left lower limbs to measure two and three-dimensional joint angular motions. Jump performance was recorded by ten-vicon camera systems (250Hz) and one digital video camera (240Hz). The joint angles of the ankle and knee joints were calculated using 2D (ImageJ) and 3D (Vicon-MX) motion data, respectively. Results: Pearson's correlation coefficients between the two methods were calculated, and significance tests were conducted (${\alpha}=1%$). Correlation coefficients between the two were over 0.98. In Vicon-MX and ImageJ, there is no systematic error by examination of the validity using the Bland-Altman method, and all data are in the 95% limits of agreement. Conclusion: In this study, correlation coefficients are generally high, and the regression line is near the identical line. Therefore, it is considered that motion analysis using ImageJ is a useful tool for evaluation of human movements in various research areas. Application: This result can be utilized as a practical tool to analyze human performance in various fields.

• Korean Journal of Plant Resources
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• v.21 no.1
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• pp.87-90
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• 2008

The purpose of this experiment is to understand a possibility for the techniques of collecting the Korean Rhus lacquer by the traditional method(Hwachil) against the diminishing lacquer industry. Hwachil method, making use of fire to collect lacquer, is practiced at only some areas, but the lacquer is very efficacious for foods and oriental medicine. A comparative experiment between traditional method and new machine method by processing unit 5 kg of lacquer tree was made to improve Hwachil method technically. The results showed that the machine method produced more about 45% of lacquer than the traditional one. The traditional method, moreover, needed intense labour quality and high leveled techniques, which caused to bring physical sufferings. In comparison with the traditional method for the collecting time required, the machine one showed to take more than minutes per a unit. But the machine method was easy and convenient to handle the machine without special techniques.

• International Journal of Aeronautical and Space Sciences
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• v.10 no.1
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• pp.98-103
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• 2009

The forecasting, mitigation and preparedness of the natural disaster impacts require relevant information regarding the disaster desirable in real time. In the meantime it is requiring the rapid and continuous data and information generation or gathering for possible prediction and monitoring of the natural disaster. Since disasters that cause huge social and economic disruptions normally affect large areas or territories and are linked to global change. The use of traditional and conventional methods for management of the natural disaster impact can not be effectively implemented for intial data col1ection with the further processing. The space technology or remote sensing tools offer excellent possibilities of collecting vital data. The main reason is capability of this technology of collecting data at global and regional scales rapidly and repetitively. This is unchallenged advantage of the space methods and technology. The satellite or remote sensing techniques can be used to monitor the current situation, the situation before based on the data in sight. as well as after disaster occurred. They can be used to provide baseline data against which future changes can be compared while the GIS techniques provide a suitable framework for integrating and analyzing the many types of data sources required for disaster monitoring. Developed GIS is an excellent instrument for definition of the social impact status of the natural disaster which can be undertaken in the future database developments. This methodology is a good source for analysis and dynamic change studies of the natural disaster impacts.