• Korean Journal of Agricultural and Forest Meteorology
• /
• v.23 no.1
• /
• pp.1-14
• /
• 2021

Onions are a representative produce that requires supply-demand control measures due to large fluctuations in production and price by growing season. Accurate forecasts of crop production can improve the effectiveness of such measures. However, it is challenging to obtain accurate estimates of crop productivity for onions because they are mainly grown on the open fields. The objective of this study was to perform the empirical analysis of the relationship between factors for crop growth and meteorological conditions, which can support the development of models to predict crop growth and production. The growth survey data were collected from open fields. The survey data included the weight of above ground organs as well as that of the bulbs. The estimates of meteorological data were also compiled for the given fields. Correlation analysis between these factors was performed. The random forest was also used to compare the importance of the meteorological factors by the growth stage. Our results indicated that insolation in early March had a positive effect on the growth of the above-ground. There was a negative correlation between precipitation and the growth of the above-ground at the end of March although it has been suggested that drought can deter the growth of onion. The negative effects of precipitation and daylight hours on the growth of the above-ground and under-ground were significant during the harvest period. These meteorological factors identified by growth stage can be used to develop models for onion growth and production forecast.

• Journal of the Korean Geotechnical Society
• /
• v.37 no.5
• /
• pp.47-63
• /
• 2021

Recently, the demand for three-dimensional (3D) underground maps from the perspective of digital twins and the demand for linkage utilization are increasing. However, the vastness of national geotechnical survey data and the uncertainty in applying geostatistical techniques pose challenges in modeling underground regional geotechnical characteristics. In this study, an optimal learning model based on multi-layer perceptron (MLP) was constructed for 3D subsurface lithological and geotechnical classification in Seoul, South Korea. First, the geotechnical layer and 3D spatial coordinates of each borehole dataset in the Seoul area were constructed as a geotechnical database according to a standardized format, and data pre-processing such as correction and normalization of missing values for machine learning was performed. An optimal fitting model was designed through hyperparameter optimization of the MLP model and model performance evaluation, such as precision and accuracy tests. Then, a 3D grid network locally assigning geotechnical layer classification was constructed by applying an MLP-based bet-fitting model for each unit lattice. The constructed 3D geotechnical layer map was evaluated by comparing the results of a geostatistical interpolation technique and the topsoil properties of the geological map.

• Journal of the Korea Convergence Society
• /
• v.12 no.8
• /
• pp.131-144
• /
• 2021

In recent years, China has gradually made clear its decision to modernize the governance system and governance capacity of the government by the virtue of digital transformation. As for the smart prison, as a penal institution of the state, technological reform is a key element in the sustainable development of smart prisons; however, relying on technology does not necessarily lead to a better service experience. Service design concept, as a coordinator of technology and social sustainability, needs to be adapted to the technological integration of smart prisons and to the needs for service design in the prison context in a new mode of thinking about services. This paper takes the development of the Jail Pay financial services system, one of the twelve sub-systems of the Smart Prison, as an entry point to explore the characteristics and shortcomings of the service design approach in achieving sustainable service innovation in the Smart Prison, it proposes an experience-based lead collaborative design (EBLCD) that is suitable for the specific needs in the prison context. The EBLCD is a theoretical framework and practical experience for sustainable service innovation in the construction of smart prisons.

• The Journal of the Korea Contents Association
• /
• v.21 no.5
• /
• pp.877-888
• /
• 2021

This study used three types of temporary shelters, tents, and prefabricated houses provided by the Chinese government for victims after the Wenchuan earthquake in 2008 as case study objects. Through literature review, 12 evaluation items were selected from the social, economic, and environmental elements of the sustainability of residential space design to analyze and evaluate three types of temporary shelters, and derive their respective characteristics and problems. The analysis results show that the temporary centralized settlements and tents had problems such as imperfect infrastructure, poor sanitation, narrow living space, no personal space, and inconvenience in life. Prefabricated houses had problems such as high construction costs, non-environmentally friendly building materials, occupation of arable land, low recycling rate of materials, and environmental pollution by waste. The common problem of the three types of shelters was that the government took the lead in the construction and distribution of shelters, and the disaster victims passively accept government support. Therefore, disaster victims were not actively involved in the construction and management of temporary communities. Secondly, the designs of all three types of temporary shelters did not fully consider the psychological needs of the victims, especially the need for safe and hygienic personal space. Finally, this research proposes improvement plans for the problems in the sustainable design of three temporary shelters and the construction and management of temporary communities.

• Journal of the Korea Convergence Society
• /
• v.13 no.4
• /
• pp.45-51
• /
• 2022

Fear of contact exists due to the prevention of the spread of infectious diseases such as COVID-19. When using the common entrance door of an apartment, access is possible only if the resident enters a password or obtains the resident's permission. There is the inconvenience of having to manually enter the number and password for the common entrance door to enter. Also, contactless entry is required due to COVID-19. Due to the development of ICT, users can be easily identified through the development of face recognition and voice recognition technology. The proposed method detects a visitor's face through a CCTV or camera attached to the common entrance door, recognizes the face, and identifies it as a registered resident. Then, based on the registered information of the resident, it is possible to operate without contact by interworking with the elevator on the server. In particular, if face recognition fails with a hat or mask, the visitor is identified by voice or additional authentication of the visitor is performed based on the voice message. It is possible to block the spread of contagiousness without leaving any contactless function and fingerprint information when entering and exiting the front door of an apartment house, and without the inconvenience of access.

• Journal of the Korean Geosynthetics Society
• /
• v.21 no.1
• /
• pp.1-10
• /
• 2022

In this study, a model parameter evaluation method using relative density was proposed to utilize applicable UBC3D-PLM for liquefaction behavior. In addition, dynamic effective stress analysis, that is, liquefaction analysis, was performed on the case of the liquefaction occurrence region where acceleration and pore water pressure were measured, and compared with the actual measurement and the existing Finn analysis results. Through this study, it was found that the proposed method can easily evaluate the necessary parameters required by the related model and predict the pore water pressure behavior in the region where liquefaction occurs. In addition, in the case of the study area, both measurements and numerical analysis showed that liquefaction occurred when a certain amount of time elapsed after the earthquake acceleration reached the maximum value. In the case of UBC3D-PLM applied in this study, the excess pore water pressure behavior similar to the actual measurement was predicted, and the occurrence of liquefaction was evaluated in the same way as the actual measurement. In particular, although the excess pore water pressure in the sand layer was greater, the phenomenon in which liquefaction occurred in the silt layer was accurately realized. It is expected that the proposed model parameter evaluation method and finite element analysis applying UBC3D-PLM can be used to select the liquefaction reinforcement region in the future seismic design and reinforcement by evaluating the liquefaction occurrence region similarly to the real one.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.6
• /
• pp.587-598
• /
• 2021

This study aims to develop a multi-camera based MMS (Mobile Mapping System) technology for building a HD (High Definition) map for autonomous driving and for quick update. To replace expensive lidar sensors and reduce long processing times, we intend to develop a low-cost and efficient MMS by applying multiple cameras and real-time data pre-processing. To this end, multi-camera storage technology development, multi-camera time synchronization technology development, and MMS prototype development were performed. We developed a storage module for real-time JPG compression of high-speed images acquired from multiple cameras, and developed an event signal and GNSS (Global Navigation Satellite System) time server-based synchronization method to record the exposure time multiple images taken in real time. And based on the requirements of each sector, MMS was designed and prototypes were produced. Finally, to verify the performance of the manufactured multi-camera-based MMS, data were acquired from an actual 1,000 km road and quantitative evaluation was performed. As a result of the evaluation, the time synchronization performance was less than 1/1000 second, and the position accuracy of the point cloud obtained through SFM (Structure from Motion) image processing was around 5 cm. Through the evaluation results, it was found that the multi-camera based MMS technology developed in this study showed the performance that satisfies the criteria for building a HD map.

• Informatization Policy
• /
• v.28 no.4
• /
• pp.54-75
• /
• 2021

The right to data portability needs to be introduced to strengthen the self-control of data subjects and promote personal data use. However, the right to data portability constitutes a high risk of invasion of privacy of data subjects and may infringe on the property rights of data controllers, so careful and thorough design is warranted. The right to data portability can intensify the concentration and monopoly of personal data, result in problems of overseas transfer of personal data held by public institutions, and enrich only the profits of giant platforms by burdening the data subject with high transfer cost. By contrast, SMEs are more likely to endure a personal data deprivation. From the proposed amendment to the Personal Data Protection Act are raised various legal issues such as. i) Whether to include inferred/derived data, personal data held by public institutions, activity data, sensitive data, and personal data of third parties within the scope of data portability; ii) whether SMEs are included in the data porting organization; iii) whether to exclude SMEs or large platforms from the scope of the data receiving organization; iv) Whether to allow the right to transmit to other data controllers, v) Whether to allow the overseas transfer of personal data held by public institutions, vi) How to safely exercise the right to data portability, vii) the scope of responsibility and immunity of a data porting organization, etc. The purpose of this paper is to propose the direction for legislative action based on various legal issues related to data portability.

• Journal of Korea Foundry Society
• /
• v.41 no.6
• /
• pp.550-557
• /
• 2021

With the advent of the fourth industrial revolution, the interest in the internet of things (IoT) in manufacturing is growing, even at foundries. There are several types of process data that can be automatically collected at a foundry, but considerable amounts of process data are still managed based on handwriting for reasons such as the limited functions of outdated production facilities and process design based on operator know-how. In particular, despite recognizing the importance of converting process data into big data, many companies have difficulty adopting these steps willingly due to the burden of system construction costs. In this study, the field applicability of IoT-based devices was examined by manufacturing devices and applying them directly to the site of a centrifugal foundry. For the centrifugal casting process, the temperature and humidity of the working site, the molten metal temperature, and mold rotation speed were selected as process parameters to be collected. The sensors were selected in consideration of the detailed product specifications and cost required for each process parameter, and the circuit was configured using a NodeMCU board capable of wireless communication for IoT-based devices. After designing the circuit, PCB boards were prepared for each parameter, and each device was installed on site considering the working environment. After the on-site installation process, it was confirmed that the level of satisfaction with the safety of the workers and the efficiency of process management increased. Also, it is expected that it will be possible to link process data and quality data in the future, if process parameters are continuously collected. The IoT-based device designed in this study has adequate reliability at a low cast, meaning that the application of this technique can be considered as a cornerstone of data collecting at foundries.

• Korean Journal of Construction Engineering and Management
• /
• v.23 no.4
• /
• pp.3-14
• /
• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.