• Journal of the Society of Disaster Information
• /
• v.18 no.1
• /
• pp.146-153
• /
• 2022

Purpose: In the case of domestic port facilities, port structures that have been in use for a long time have many problems in terms of safety performance and functionality due to the enlargement of ships, increased frequency of use, and the effects of natural disasters due to climate change. A big data analysis method was studied to develop an approximate model that can predict the aging pattern of a port facility based on the maintenance history data of the port facility. Method: In this study, member-level maintenance history data for caisson-type quay walls were collected, defined as big data, and based on the data, a predictive approximation model was derived to estimate the aging pattern and deterioration of the facility at the project level. A state-based aging pattern prediction model generated through Gaussian process (GP) and linear interpolation (SLPT) techniques was proposed, and models suitable for big data utilization were compared and proposed through validation. Result: As a result of examining the suitability of the proposed method, the SLPT method has RMSE of 0.9215 and 0.0648, and the predictive model applied with the SLPT method is considered suitable. Conclusion: Through this study, it is expected that the study of predicting performance degradation of big data-based facilities will become an important system in decision-making regarding maintenance.

• The Journal of Engineering Geology
• /
• v.31 no.4
• /
• pp.659-669
• /
• 2021

The purpose of this study is to elucidate the relationship between occurrence of natural radioactive materials such as ²³⁸U and ²²²Rn and original mixing ratio of helium isotope of groundwater from various geology, and to suggest the underground aquifer environment from helium original mixing data. 9 groundwater samples were collected from five study areas, and ²³⁸U, Rn-222 and helium isotope were analyzed. A high ²³⁸U content of the range of 218~477 ㎍ /L in the groundwater occurs in the twomica granite. ⁴He air-crust mixing ratio and the Rn-222 content show a rough relation, that is, Rn-222 content increases according to the increase of ⁴He crust mixing ratio. Because of helium and radon are an inert gas, their behavior in underground environment is assumed as an analogous. The ²³⁸U content and He isotope in groundwater does not show any distinct correlation. The groundwater can be classified as three groups (air, air-crust mixing, crust-mantle mixing origin) on the diagram of ³He/⁴He vs ⁴He/²⁰Ne, which is composed of original mixing line from air-crust-mantle end members. This original mixing of helium can provide the information of underground aquifer characteristic such as the connection with surface environment or isolation condition from air environment.

• Journal of Korean Society of Environmental Engineers
• /
• v.38 no.10
• /
• pp.580-587
• /
• 2016

This study aims to estimate the values of freshwater ecosystem services from demand and supply perspectives. From demand side, unit-values of ecosystem services are derived from Environmental Valuation Information System (EVIS) and aggregated to 5 main watersheds in Korea. The derived unit-values are based on the willingness to pay estimates per household from stated preference methods. The nation-wide average total values of water quantity supply, water purification, and natural disaster control are estimated as 501.2, 410.4, and 242.4 billion won/year, respectively. From supply side, we examine the direct and indirect public expenditures (or investment) in 2013 to improve freshwater ecosystem services by the government. The total sum of government expenditures corresponds to 8,882 billion won in 2013, where 12.9, 81.3, 0.3 and 5.3% are spent to improve provisioning, regulating, supporting and cultural services, respectively, indicating that most efforts are concentrated in enhancing regulating services.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.6 no.1
• /
• pp.12-23
• /
• 2003

The expansion of internet and the development of communication technology have brought about an explosive increasement of data. Further progress has led to the increasing demand for efficient and effective data analysis tools. According to this demand, data mining techniques have been developed to find out knowledge from a huge amounts of raw data. This paper suggests a generalization based classification method which explores rules from real world data appearing repeatedly. Also, it analyzed the relation between weather data and forest fire, and efficiently predicted through it as a prediction model by applying the suggested generalization based classification method to forest fire data. Additionally, the proposed method can be utilized variously in the important field of real life like the analysis and prediction on natural disaster occurring repeatedly, the prediction of energy demand and so forth.

• Journal of the Korean Society of Costume
• /
• v.65 no.7
• /
• pp.75-85
• /
• 2015

The purpose of this study is to examine ways to vitalize cause related marketing (CRM) by proposing character T-shirts The campaign will employ Neo-Pop art, a genre popular with both companies and consumers. Study results are as follows: First, campaign T-shirts on the issue of human alienation resulting from digitalization can be utilized to generate financial profit that can be returned to society. This can lead to the acts of exchange for profit generation, public image improvemen of companies, and enhancement of their external status. As for the non-financial aspect, the campaign could lead to increased awareness of social issues and present opportunities to take actions of improvement. Second, the financial objective of character T-shirts dealing with environmental issue of sustainability involves brand distribution network support and revitalization of promotion such as shopping basket of love and eco-friendly store matching program for eco-friendly campaign. As for the non-financial aspect, it can help raise consumers' awareness of cause related activities such as crowd funding and fundraising and prepare opportunities of direct participation. Third, the financial objective of character T-shirts dealing with natural disaster relief activities on the global level involves brand recognition level increase and enhancement of positive association of companies through emergency relief and articles support as a result of drastic increases in casualties from nature disasters. As for the non-financial aspect, it can induce people's participation in relief activities and lead to the establishment of crisis response procedures. The information on the development of pop-art character T-shirts proposed in this study is expected to be used as basic information on cause marketing of fashion companies in the future, while providing inspiration to related fashion design.

• The KIPS Transactions:PartD
• /
• v.18D no.5
• /
• pp.385-392
• /
• 2011

Recently, the concern of IT-in-Agriculture convergence technology that combines information technology and agriculture is increasing rapidly. Especially, the crop cultivation related prediction services by spatial data mining (SDM) can play an important role in reducing the damage of natural disaster and enhancing crop productivity. However, the data conversion and integration procedure to acquire the learning dataset of SDM for the prediction service need a lot of effort and time, because of their heterogeneity between distributed data. In addition, calculating spatial neighborhood relationships between spatial and non-spatial data necessitates requires the complicated calculation procedure for large dataset. In this paper, we suggest a SOA-based data integration framework that can effectively integrate distributed heterogeneous data by treating each data source as a service unit and support to find the optimal prediction service by improving productivity of learning dataset for SDM. In our experiment, we confirmed that our framework can be effectively applied to find the optimal prediction service for the frost damage area, by considering the case of peach crop cultivation in Icheon in Korea.

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.31 no.3
• /
• pp.146-157
• /
• 2019

Recently, the importance of highly accurate bathymetric data is greatly emphasized by the increased use of the ocean numerical models and research results in major areas such as ocean forecasting and natural disaster. There are domestic bathymetric data mainly used in ocean numerical models of Choi et al.(2002) and Seo (2008), but the production year is old and the data was created on the basis of nautical charts. Nautical charts are made for the purpose of navigation and based on the minimum depth from bathymetric data, so there is a limitation to reproduce the actual submarine topography. Korea Hydrographic and Oceanographic Agency (KHOA) produces nautical charts every year through continuous bathymetric survey, but no bathymetric data for numerical models have been produced. In this study, using the raw bathymetric survey data, we built an exclusive bathymetric dataset (BADA Ver.1) for ocean numerical models and compared it with published bathymetric data.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.1
• /
• pp.457-467
• /
• 2019

In recent years, various methods have been attempted to visually manage the construction site efficiently, and in particular, there has been a tendency to use a UAV or a drone in the air rather than a land on a construction site, Can be visually photographed and recorded or analyzed. In this study, the unmanned aerial photographs were taken at least three times and the USN sensors were simultaneously operated on the main structure at the time of shooting, The goal of this research was to make the image information and environmental information of the construction site available for efficient construction management by matching. As a result, not only professional engineers at construction sites but also administrative managers can visually confirm the detailed situation of the site at the time of the construction site and the completion status, and can help decision making in appropriate budget input and appropriate resource support The experts in each field discussed the safety management of the construction site, the prevention of disaster and various factors of change which can be changed by natural environment factors.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.8
• /
• pp.1231-1237
• /
• 2022

It is necessary to dynamic recognition system with real time loading height and pressure of the loading waste, the drying of wood, batteries, and plastic wastes, which are representative compositional wastes, and the carbonization changes on the surface. The dynamic context awareness service constituted a platform based on Universal Middleware system using BCN convergence communication service as a Ambient SDK model. A context awareness system should be constructed to determine the cause of the fire based on the analysis data of fermentation heat point with natural ignition from the load waste. Furthermore, a real-time dynamic service platform that could be apply to the configuration of scenarios for each type from early warning fire should be built using Universal Middleware. Thus, this issue for Internet of Things realize recognition platform for analyzing low temperature fired fire possibility data should be dynamically configured and presented.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.2
• /
• pp.294-305
• /
• 2022

Recently, drones have been widely used to solve environmental problems such as environmental protection and natural disaster monitoring. This study focuses on the problem of the search altitude of drones when using drones to search for air pollution in order to maintain the urban air environment. In particular, when exploring air pollution in cities using drones, various experiments are conducted to determine the appropriate search altitude for each air pollution source and each communication module. Through the experiment, the maximum measurable altitude for the most common air pollutants, such as CO (carbon monoxide), NO₂ (nitrogen dioxide), O₃ (ozone), and P10, P2.5 (fine dust), was identified, and the effective search altitude for each air pollution source was determined. As a result of the experiment, three types of drone search altitudes including legally measurable altitudes were suggested. The communication module measurable altitude was 60m to 120m depending on the communication module, and the effective measurable altitude was analyzed from 10m to 100m.