• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.55-56
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• 2014

본 논문에서는 ${\Delta}$결선 또는 3상 4선식 Y결선으로 구성된 Modular Multilevel Converter(MMC)의 동기좌표계에서의 영상분 전류제어방법을 제안한다. 제안된 영상분 전류제어방법은 새로운 가상 2상 전류 생성방법을 사용하며, 기존의 가상 2상 전류 생성방법보다 과도상태 응답특성과 파라미터 오차에 대한 성능이 우수함을 시뮬레이션을 통해 검증하였다.

• Journal of Mushroom
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• v.16 no.2
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• pp.79-85
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• 2018

This study was carried out to separately assess the production of post-culture, germinating, growing, and resting stages of Lentinula edodes grown in a smart cultivation facility based on ICT technology. The cultivation environment of the greenhouse facility was controlled to remain at different set points throughout a range of high ambient temperatures. Production of Sanjo-701-ho, which is a typical summer cultivar, and the new cultivar Sanjo-701-ho were tested in this ICT-based smart cultivation system. Sanjo-701-ho produced 353.7 g/bag of mushrooms from June to October, while Sanjo-701-ho produced 270.4 g/bag. These production amounts were stable over the high-temperature range of $20-35^{\circ}C$.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.331-345
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• 2021

Virtual testing is considered a major requirement for the safety verification of autonomous driving functions. For virtual testing, both the autonomous vehicle and the driving environment should be modeled appropriately. In particular, a realistic modeling of the perception sensor system such as the one having a camera and radar is important. However, research on modeling to consistently generate realistic perception results is lacking. Therefore, this paper presents a sensor modeling method to provide realistic object detection results in a MILS (Model in the Loop Simulation) environment. First, the key parameters for modeling are defined, and the object detection characteristics of actual cameras and radar sensors are analyzed. Then, the detection characteristics of a sensor modeled in a simulation environment, based on the analysis results, are validated through a correlation coefficient analysis that considers an actual sensor.

• Advances in Energy Research
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• v.5 no.1
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• pp.1-12
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• 2017

The world today has reached a certain level where it is impossible to get the quality education at the tertiary level without the use of Information and Communication Technology (ICT). ICT has made life better, communication easier and faster, teaching and learning more practical through computers and other technology based learning tools. However, despite these benefits ICT has equally contributed immensely to environmental problems. Therefore there is the need to use ICT resources efficiently in universities for environmental sustainability so as to save both the university environment and the world at large from the effects of global warming. This paper evaluates the carbon footprints from the use of ICT devices and comes up with a proposed green ICT framework to reduce the carbon footprints in universities. The framework contains techniques and approaches to achieve greenness in the data center, personal computers (PCs) and monitors, and printing in order to make ICT more environmentally friendly, cheaper, safer and ultimately more efficient. Concerned experts in their respective departments at Asia Pacific University of Technology and Innovation (APU) Malaysia evaluated the proposed framework. It was found to be effective for achieving efficiency, reducing energy consumption and carbon emissions.

• Journal of Korean Traditional Oncology
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• v.26 no.1
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• pp.39-48
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• 2021

Objective: The purpose of this study is to report effects and potential of Integrative Cancer Treatment (ICT) on metastatic pancreatic cancer patient. Methods: A 79-year-old pancreatic cancer patient diagnosed with metastasis on liver visited the Daejeon Korean medicine hospital of Daejeon university East West Cancer Center (EWCC) on May 2021. The patient has been received chemotherapy (gemcitabine plus abraxane) and concurrently treated with ICT since May 2021. The clinical outcomes were measured by computed tomography, laboratory findings including tumor markers (CEA, CA19-9) and numeric rating scales (NRS). Laboratory analysis and National Cancer Institute Common Terminology Criteria for Adverse Events (NCI-CTCAE), version 5.0 were used to evaluate the safety of ICT. Results: After treatment, constipation was relieved from NRS 5-6 to 2, both leg numbness was improved from NRS 9 to 2. Tumor size was generally decreased accompanying by reducing the levels of tumor markers. There were no severe adverse events induced by ICT based on NCI CTCAE version 5.0. Conclusion: This case study suggests that ICT in combination with chemotherapy may help in the treatment of patients with metastatic pancreatic cancer.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1273-1283
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• 2022

Recently, forest fires have frequently occurred due to climate change, leading to human and property damage every year. The forest fire monitoring technique using remote sensing can obtain quick and large-scale information of fire-damaged areas. In this study, the Gangneung and Donghae forest fires that occurred in March 2022 were analyzed using the spectral band of Sentinel-2, the normalized difference vegetation index (NDVI), and the normalized difference water index (NDWI) to classify the affected areas of forest fires. The U-net based convolutional neural networks (CNNs) model was simulated for the fire-damaged areas. The accuracy of forest fire classification in Donghae and Gangneung classification was high at 97.3% (f₁=0.486, IoU=0.946). The same model used in Donghae and Gangneung was applied to Uljin and Samcheok areas to get rid of the possibility of overfitting often happen in machine learning. As a result, the portion of overlap with the forest fire damage area reported by the National Institute of Forest Science (NIFoS) was 74.4%, confirming a high level of accuracy even considering the uncertainty of the model. This study suggests that it is possible to quantitatively evaluate the classification of forest fire-damaged area using a spectral band and indices similar to that of the Compact Advanced Satellite 500 (CAS500-4) in the Sentinel-2.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.346-352
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• 2022

Mountain meteorology in South Korea that is covered mountains with complex terrain is important for understanding and managing the forest disaster and forest ecosystems. In particular, recent changes in dryness and/or rainfall intensity due to climate change may cause an increase in the possibility of forest disasters. Therefore, accurate monitoring of mountain meteorology is needed for efficient forest management. Korea Forest Service (KFS) is establishing the Automatic Mountain Meteorology Observation Stations (AMOS) in the mountain regions since 2012. 464 AMOSs are observing various meteorological variables such as air temperature, relative humidity, wind speed and direction, precipitation, soil temperature, and air pressure for every minute, which is conducted the quality control (QC) to retain data reliability. QC process includes the physical limit test, step test, internal consistency test, persistence test, climate range test, and median filter test. All of AMOS observations are open to use, which can be found from the Korean Mountain Meteorology Information System (KoMIS, http://mtweather.nifos.go.kr/) of the National Institute of Forest Science and the Public Data Portal (https://public.go.kr/). AMOS observations with guaranteed quality can be used in various forest fields including the public safety, forest recreation, forest leisure activities, etc., and can contribute to the advancement of forest science and technology. In this paper, a series of processes are introduced to collect and use the AMOS dataset in the mountain region in South Korea.

• Journal of Korean Society of Forest Science
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• v.112 no.4
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• pp.515-522
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• 2023

The aim of this study was to quantitatively evaluate a new stem volume table for estimating the growth, carbon storage, and greenhouse gas (GHG) absorption in Cryptomeria japonica and Chamaecyparis obtusa stands and to provide suggestions for improving the domestic GHG inventory. Carbon storage and GHG absorption were estimated using growing stock data obtained from invariable sub-sample plots between the 6^th and 7^th national forest inventories. We assessed changes in growing stock using the parameters employed by Kozak (1988) and Versions 1 and 2 of the stem volume table. Version 2 has new stem tables for 16 species, including Cryptomeria japonica, which were unavailable in Version 1. Version 2 also includes new data for trees with diameters at breast height equal to or greater than 30 cm. We found greater growing stock values using Version 2 than Version 1 for both stands, and the differences were statistically significant (p<0.001). Applying the new stem volume table increased GHG absorption by 22% for the Cryptomeria japonica stand and 13% for the Chamaecyparis obtusa stand. The growing stock estimation method used in this study should therefore be applied to re-estimate GHG absorptions in the forestry sector to produce accurate statistics for the IPCC guidelines.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.218-226
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• 2019

The use of Information and Communication Technologies (ICT) is the key to operate a change from the traditional manual reading of water meters and sensors to an automated system where high frequency data is remotely collected and analyzed in real time, one of the main components of a Smart Water Grid. The recent boom of ICT offers a wide range of both wired and wireless technologies to achieve this objective. We review and present in this article the most widely recognized technologies and protocols along with their respective advantages, drawbacks and applicability range which can be Home Area Network (HAN), Building Area Network (BAN) or Local/Neighborhood Area Network (LAN/NAN). We also present our findings and we give recommendations on the application of ICT in Smart Water Grids and future work needed.

• Journal of Korean Traditional Oncology
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• v.24 no.1
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• pp.19-28
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• 2019

Objective : The purpose of this study is to report and observe effects of Integrative Cancer Treatment (ICT) on metastatic breast cancer patient. Method : A left breast cancer patient diagnosed with recurrence on liver and bones April 2018. The patient had received paclitaxel chemotherapy for two months and discontinued it because of tumor progression and side effects. The patient has been treated with ICT since March 2018 and has been taking capecitabine since October 2018. The clinical outcomes were measured by computed tomography, laboratory findings including tumor markers (CEA, CA15-3). The clinical outcomes were measured by computed tomography, laboratory findings including tumor markers (CEA, CA15-3), liver function test (AST, ALT), Eastern Cooperative Oncology Group performance status (ECOG PS), and numeric rating scales (NRS). Results : After the ICT, tumor size was partially decreased accompanying by reducing the levels of tumor markers. Major clinical symptoms induced by paclitaxel chemotherapy were improved. There were no severe adverse events induced by ICT based on National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) version 5.0. Conclusion : This case suggests that ICT may have synergistic effect for the treatment of metastatic breast cancer patient in conjunction with capecitabine.