• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.6
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• pp.1363-1374
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• 2012

The number and use of Internet connected devices has dramatically increased in the last several years. Therefore many services synchronizing data in real-time is increasing such as mail, calendar and storage service. This service provides convenience to users. However, after devices are seized, the data could be changed because of characteristic about real-time synchronization. Therefore digital investigation could be difficult by this service. This work investigates the traces on each local device and proposes a method for the preservation of real-time synchronized data. Based on these, we propose the procedures of real-time synchronization data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.74-87
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• 2020

Overloaded trucks are the main source that threatens road safety and directly affects the reduction of pavement life. The On-board truck scale is the only equipment that could prevent overloading by measuring and adjusting the loading weight before driving. Legislation is needed to encourage its installation so that the driver can prevent overloading. In this study, an on-board truck scale system was installed on 30 dump trucks for transporting construction waste, such as soil and aggregates, which are major loads of 36.55% for overloading, and the trucks were monitored remotely. The overload prevention effect was analyzed by comparing driving data for 1 month before distribution of the weight display app that can recognize the weight to the driver and 1 month after distribution. After installation, overloading could be 6.1% reduced, and the transportation efficiency could be increased by checking the weight provided from the On-board truck scale system.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.10
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• pp.43-52
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• 2011

In this paper, we propose the architecture of the policy-based emergency bio data transmission for the smart healthcare service. the medical staff can quickly and accurately monitor the emergency bio data of the remote patient through the proposed architecture. The proposed system consists of three parts: IEEE 11073-based agents and managers performing the aggregation function and transmission function of the bio data; the emergency management server performing the converting function between IEEE 11073 and HL7 and auto-diagnosis function of the policy-based; HL7 medical system based on HL7. Finally, by implementing the proposed system, we shows that the aggregation of the bio data and management of the emergency bio data in the smart healthcare service are possible.

• Smart Media Journal
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• v.11 no.4
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• pp.19-29
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• 2022

Recently, with the development of IoT technology, the number of farms using smart farms is increasing. Smart farms monitor the environment and optimise internal environment automatically to improve crop yield and quality. For optimized crop cultivation, researches on predict crop productivity are actively studied, by using collected agricultural digital data. However, most of the existing studies are based on statistical models based on existing statistical data, and thus there is a problem with low prediction accuracy. In this paper, we use various predition models for predicting the production and sales profits, and compare the performance results through models by using the agricultural digital data collected in the facility horticultural smart farm. The models that compared the performance are multiple linear regression, support vector machine, artificial neural network, recurrent neural network, LSTM, and ConvLSTM. As a result of performance comparison, ConvLSTM showed the best performance in R2 value and RMSE value.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1225-1234
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• 2013

According to the importance of greenhouse gas emissions, it grows day by day, the goverment is promoting to prepare the specific policy implementation to enhance building energy-saving design standars as the development agenda. In this study, the statistical analysis was performed by Descriptive statistics, Regression analysis, and Hypothesis testing to collect to generate and storage energy usage data in real time to settle parameter setting to affect energy consumption under energy-guzzling apartment not single building. This study is expected to be utilized as the basis for the optimum energy-saving design of the future of the building or facility energy costs rise and the demand for energy-efficient and stable management.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.331-331
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• 2023

일반적으로 가뭄을 해석하기 위하여 가뭄심도, 빈도, 피해면적 및 기간의 영향 등을 고려한 가뭄지수를 이용하며, 이러한 가뭄지수는 주로 지점자료 기반 지상관측자료를 활용하여 산정한다. 하지만 지점자료 특성상 미계측 지역에 대한 정확한 데이터 취득이 어렵기 때문에 미계측 지역에 대한 가뭄 분석의 한계가 발생한다. 다양한 계측기반의 지상센서들이 확충되면서 통계학적 기법기반 공간분포 개선방안을 제시하고 있지만, 정확한 가뭄평가 자료가 추가 및 개선되는 것이 중요하다. 본 연구에서는 원격탐사기술을 활용하여 지점자료의 한계를 극복한 격자기반의 공간정보를 표출함으로써 새로운 가뭄모니터링 방안을 제시하는 것을 목표로 한다. 이를 위해 지상관측자료로 가뭄을 판단하기 어려운 미계측 지역에 대한 가뭄 판단 및 예측 정확도 향상을 위하여 원격탐사기술을 활용한 공간정보 빅데이터를 구축하고자 한다. 미국 국립가뭄경감센터에서 제시한 식생가뭄반응지수 (VegDRI, Vegetation Drought Response Index)는 식생지수, 기상학적 가뭄지수, 지역적 특성을 반영한 생물물리학적 정보를 통합한 하이브리드 가뭄지수로 가뭄과 관련된 공간정보를 활용하여 가뭄을 판단하는 지표이다. VegDRI 산정을 위하여 ERA5의 격자기반 강수자료, MODIS 센서 기반 식생지수 등 격자기반의 공간정보를 수집하였으며, 전처리 모듈을 구축하였다. 또한, 기존 기상학적 가뭄지수인 표준강수지수 (SPI, Standardized Precipitation Index)와 비교를 통해 VegDRI의 국내 적용성을 평가하였으며, 국내 가뭄사례에 적용하여 적절한 가뭄 판단지표로써 활용할 수 있을 것으로 판단된다.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.36-40
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• 2008

SIMS manages data for various spatial and non-spatial as integral management system to support space information administration environment and support several application works. Without being limited to spatial data that existent spatial Data Mining question language advances handling in this paper, did so that can find useful information from various data connected with automatically data collection, artificial satellite side upside service, remote sensing, GPS. Mobile Computing and data about Spatio-Temporal. Also, we designed spatial Data Mining query language that support a spatial Data Mining exclusive use system based on SIMS.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.383-387
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• 2006

본 연구에서는 신속하고 정확한 산불감지를 위해 센서 네트워크 기술 및 무인 항공 기술을 접목한 새로운 형태의 화재 감지 시스템을 제안하고자 한다. 제안된 시스템은 광범위한 영역에 설치되는 다수의 센서 노드들과 이 영역위에서 자유로이 비행하면서 실시간으로 센서 노드에서 계측된 데이터를 수집하는 헬리콥터 및 헬리콥터에 장착되어 화재발생지점의 화상정보를 취득하고 이를 원격의 서버로 데이터를 무선 전송할 수 있는 임베디드 시스템으로 구성된다. 또한 산불 감지용 테스트베드를 제작하여 설계 제작된 시스템의 실제 적용을 통해 제안된 시스템의 유용성을 확인하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.725-726
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• 2017

Recently, IoT (Internet of Things) has been applied to various fields, not limited to places, through continuous research. However, the existing IoT system is based on the surrounding environment rather than the user-oriented operation of the device. therefore, there is a problem in that the efficiency and accuracy of the work are low. In this paper, we propose a user remote control analysis algorithm to solve these problems. When the user performs the remote control, the command is collected and the data is sorted according to the device and time. Analyze time-dependent behavior of devices based on sorted data. based on the results of the analysis, the environment is controlled by operating the device inside the home. Therefore, it is expected that the accuracy and convenience of device operation will be increased by providing customized service to users.

• Information Systems Review
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• v.25 no.2
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• pp.163-180
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• 2023

Based on the Technology-Organization-Environment (TOE) model, this study proposed a research model that explains the continuance intention of users in the with Covid-19 era considering the technical, organizational, and environmental aspects of Remote Work Solution (RWS). To verify the research model and hypothesis, an online survey was conducted on domestic RWS users. Partial least squares (PLS) were utilized to analyze the collected 411 data. As a result of the analysis, it was found that functionality and security level had positive impacts on both productivity improvement and satisfaction. However, it was also confirmed that organizational readiness had a positive effect on productivity improvement but did not affect satisfaction. Furthermore, the results revealed that government support had a positive relationship with continuance intention, but the health concerns did not. Finally, the correlations between productivity improvement, satisfaction, and continuous intention were confirmed to be significant. Therefore, 9 out of a total of 11 hypotheses were supported.