• Title/Summary/Keyword: Sung-Jung

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Importance and Priority of Indicators for Selection of Plant Species for Ecological Restoration (생태복원용 식물종 선정을 위한 지표의 중요도·우선순위)

  • Sung, Jung-Won;Shin, Hyun-Tak;Yu, Seung-Bong;Park, Seok-Gon
    • Korean Journal of Environment and Ecology
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    • v.36 no.3
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    • pp.327-337
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    • 2022
  • Ecological restoration is considered a good means to prevent biodiversity loss in terms of the ecosystem's health and sustainability. However, there are difficulties in putting it into practice as there is no comprehensive and objective standard for the selection of plant species, such as environmental, ecological factors, and restoration goal setting. Therefore, this study developed an evaluation index necessary for selecting plant species for restoration using the Delphi method that synthesizes the opinions of the expert group. A survey with 38 questionnaires was conducted twice for experts in ecological restoration, etc., and the importance and priority of evaluation indicators were analyzed by dividing the restoration targets into inland and island regions. The result of the importance analysis showed that "native plants" had the highest average of 4.9 among the evaluation indices in both inland and island regions, followed by "seed security", "propagation", and "root growth rate". In the inland region, the index priority was analyzed in the order of "native plants", "appearance frequency", "root growth rate", "distribution range", and "seed security" in the island region, it was analyzed in the order of "native plants", "root growth rate", "appearance frequency", "distribution range", and "tolerance", showing slight differences between the two indicators. As a result of the importance and priority indicator analysis, we set the mean importance and priority of 4.1 and 2.9, respectively, in the inland region and 4.2 and 2.9, respectively, in the island region. As for the criteria of selecting plant species for ecological restoration, the "native plants" had the highest importance and priority. "Seed securing", 'viability", "topography", "proliferation", "tolerance", "soil conditions", "growth characteristics", "early succession", "distribution range", "appearance frequency", and "germination rate" were classified into subgroups of low importance and priority. The lowest indicators were "final stage of succession", "transition period", 'transition stage", "root", "reproduction", "soil", "appearance", "technology", "landscape", "climate", and "germination rate". We expected that the findings through objective verification in this study would be used as evaluation indicators for selecting native plant species for ecological restoration.

Development of Correction Formulas for KMA AAOS Soil Moisture Observation Data (기상청 농업기상관측망 토양수분 관측자료 보정식 개발)

  • Choi, Sung-Won;Park, Juhan;Kang, Minseok;Kim, Jongho;Sohn, Seungwon;Cho, Sungsik;Chun, Hyenchung;Jung, Ki-Yuol
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.1
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    • pp.13-34
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    • 2022
  • Soil moisture data have been collected at 11 agrometeorological stations operated by The Korea Meteorological Administration (KMA). This study aimed to verify the accuracy of soil moisture data of KMA and develop a correction formula to be applied to improve their quality. The soil of the observation field was sampled to analyze its physical properties that affect soil water content. Soil texture was classified to be sandy loam and loamy sand at most sites. The bulk density of the soil samples was about 1.5 g/cm3 on average. The content of silt and clay was also closely related to bulk density and water holding capacity. The EnviroSCAN model, which was used as a reference sensor, was calibrated using the self-manufactured "reference soil moisture observation system". Comparison between the calibrated reference sensor and the field sensor of KMA was conducted at least three times at each of the 11 sites. Overall, the trend of fluctuations over time in the measured values of the two sensors appeared similar. Still, there were sites where the latter had relatively lower soil moisture values than the former. A linear correction formula was derived for each site and depth using the range and average of the observed data for the given period. This correction formula resulted in an improvement in agreement between sensor values at the Suwon site. In addition, the detailed approach was developed to estimate the correction value for the period in which a correction formula was not calculated. In summary, the correction of soil moisture data at a regular time interval, e.g., twice a year, would be recommended for all observation sites to improve the quality of soil moisture observation data.

Landslide Susceptibility Mapping Using Deep Neural Network and Convolutional Neural Network (Deep Neural Network와 Convolutional Neural Network 모델을 이용한 산사태 취약성 매핑)

  • Gong, Sung-Hyun;Baek, Won-Kyung;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.38 no.6_2
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    • pp.1723-1735
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    • 2022
  • Landslides are one of the most prevalent natural disasters, threating both humans and property. Also landslides can cause damage at the national level, so effective prediction and prevention are essential. Research to produce a landslide susceptibility map with high accuracy is steadily being conducted, and various models have been applied to landslide susceptibility analysis. Pixel-based machine learning models such as frequency ratio models, logistic regression models, ensembles models, and Artificial Neural Networks have been mainly applied. Recent studies have shown that the kernel-based convolutional neural network (CNN) technique is effective and that the spatial characteristics of input data have a significant effect on the accuracy of landslide susceptibility mapping. For this reason, the purpose of this study is to analyze landslide vulnerability using a pixel-based deep neural network model and a patch-based convolutional neural network model. The research area was set up in Gangwon-do, including Inje, Gangneung, and Pyeongchang, where landslides occurred frequently and damaged. Landslide-related factors include slope, curvature, stream power index (SPI), topographic wetness index (TWI), topographic position index (TPI), timber diameter, timber age, lithology, land use, soil depth, soil parent material, lineament density, fault density, normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were used. Landslide-related factors were built into a spatial database through data preprocessing, and landslide susceptibility map was predicted using deep neural network (DNN) and CNN models. The model and landslide susceptibility map were verified through average precision (AP) and root mean square errors (RMSE), and as a result of the verification, the patch-based CNN model showed 3.4% improved performance compared to the pixel-based DNN model. The results of this study can be used to predict landslides and are expected to serve as a scientific basis for establishing land use policies and landslide management policies.

Prevalence of Osteoporosis among Male Adults with Apparently Radiolucent Lumbar Vertebral Bodies on the Plain Radiographs (단순 영상에서 요추체의 음영이 감소된 성인 남성에서의 골다공증 유병률)

  • Kim, Kook Jong;Lim, Sung Joon;Kim, Yong Min;Lee, Hyung Ki;Kim, Geon Jung
    • Journal of the Korean Orthopaedic Association
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    • v.56 no.6
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    • pp.491-497
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    • 2021
  • Purpose: To investigate the prevalence of osteoporosis or osteopenia via dual-energy X-ray absorptiometry bone mineral density (DEXA BMD) in adult males who showed radiolucent lumbar vertebra on the plain radiographs. Materials and Methods: The DEXA BMD values of 98 adult males, who showed radiolucent vertebrae on plain X-rays, were compared with those of the control group (n=168) and osteoporosis-related fracture group (n=113) by statistical analysis. The World Health Organization (WHO) method (lower value between the mean lumbar and femur neck) and the Hansen's method (lowest lumbar vertebra) were used to determine osteoporosis. Results: The mean and standard deviation of the BMD value of each group was -1.4 (±1.2) in the suspicious group, -0.8 (±1.1) in the control group, and -2.4 (±1.0) in the fracture group, respectively; the difference was statistically significant. Using the WHO method, the prevalence ratio of osteoporosis was 17.3% in the suspicious group, 8.3% in the control group, and 45.1% in the fracture group, respectively. Osteopenia was observed in 40.8% of the suspicious group. Hansen's method (lowest lumbar vertebra) revealed the prevalence of osteoporosis in 30.6% of the suspicious group, 17.9% of the control group, and 62.0% of the fracture group. Conclusion: Approximately 17.3% of the suspicious group was diagnosed with osteoporosis, and 40.8% were osteopenic by a confirmative BMD study (WHO criteria) among the adult males showing apparent radiolucency on plain X-rays. The control group also showed an 8% prevalence of osteoporosis. These results suggest that males also are vulnerable to osteoporosis. Therefore, a BMD study should also be used for males, especially for the people showing lumbar vertebrae with radiolucent features.

Preliminary Result of Revision Fusion Surgery for Thoracolumbar Spine Using Revision Rod (Revision Rod를 이용한 흉요추 유합 재수술 예비 결과)

  • Youn, Yung-Hun;Cho, Kyu-Jung;Park, Ye-Su;Park, Jae-Woo;Park, Jin-Sung;Kwon, Won-Hwan
    • Journal of the Korean Orthopaedic Association
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    • v.55 no.6
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    • pp.520-526
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    • 2020
  • Purpose: The need for revision fusion surgery after spinal fusion has increased. A revision rod that connects to the previous rod was newly developed for revision surgery. The purpose of this study was to analyze the clinical and radiological results after spinal fusion revision surgery using revision rods. Materials and Methods: Twenty-one patients who underwent revision fusion surgery after spinal fusion in two university hospitals with minimum 1 year follow-up were reviewed. This study assessed 16 cases of adjacent-segment disease, four cases of thoracolumbar fracture, and one case of ossification of ligament flavum. The Oswestry Disability Index (ODI) and numerical rating scale (NRS) were evaluated as clinical outcomes, and the union rate, lordosis or kyphosis of the revision level, lumbar lordosis, T5-12 kyphosis, and proximal junctional kyphosis angle were evaluated as the radiological outcomes. Results: The average ODI was 54.6±12.5 before surgery and improved to 29.8±16.5 at the final follow-up. The NRS for back pain and leg pain was 5.0±1.7 and 6.4±2.0 before surgery, which changed to 2.9±1.6 and 2.9±2.2 at the final follow-up. Lumbar lordosis was 18.1°±11.9° before surgery and 21.1°±10.3° at the final follow-up. Proximal junctional kyphosis was 10.8°±10.1° before surgery, and 9.2°±10.5° at the final follow-up. These angles were not changed significantly after surgery. Bony union was successful in all cases except for one case who underwent posterolateral fusion. Conclusion: Revision surgery using a newly developed revision rod on the thoracolumbar spine achieved good clinical outcomes with successful bony union. No problems with the newly developed revision rod were encountered.

Diagnosis and Treatment of Brown Tumor (Brown 종양의 진단 및 치료)

  • Cho, Yong Jin;Cho, Yung Min;Na, Seung Min;Jung, Sung-Taek
    • Journal of the Korean Orthopaedic Association
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    • v.55 no.1
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    • pp.54-61
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    • 2020
  • Purpose: Brown tumor is a tumor-like disease that can occur as a linked disease of hyperparathyroidism which can causes osteoporosis, osteitis fibrosa cystica, pathologic fractures. Brown tumor has been reported as a case report, but there is no comprehensive report on the exact diagnosis and principle of management for osseous lesion. The purpose of this study is to report the treatment and results of osseous lesions through 5 cases. Materials and Methods: From February 2004 to May 2015, five cases of Brown tumor were diagnosed in Chosun University Hospital and Chonnam National University Hospital orthopedic department. Medical records and radiographs were reviewed retrospectively. Parathyroid tumors were surgically removed, and surgical treatment and observation were performed for orthopedic osseous lesions. Results: The mean length of the long axis of the symptomatic osseous lesion was 6.2 cm (4.5-9.0 cm). An average of 7.6 (range, 3 to 14) of high uptake osseous lesion showed in whole body bone scan. The absolute value, T-score and Z-score of the vertebrae and proximal femur were adequate for diagnosis of osteoporosis using dual energy X-ray absorptiometry bone mineral density at diagnosis and recovered to normal at the last follow-up. In laboratory tests, serum concentrations of total calcium, ionized calcium, inorganic phosphorus, serum alkaline phosphatase, and parathyroid hormone were helpful to diagnosis and normalized upon successful removal of parathyroid adenoma or cancer. Conclusion: For accurate diagnosis of Brown tumor, it should be accompanied by systemic examination as well as clinical symptoms, laboratory tests and radiologic examination for osseous lesions. And a good prognosis can be expected if the hyperparathyroidism is treated together with the comprehensive treatment of osseous lesions.

Revision of Nutrition Quotient for Korean adults: NQ-2021 (한국 성인을 위한 영양지수 개정: NQ-2021)

  • Yook, Sung-Min;Lim, Young-Suk;Lee, Jung-Sug;Kim, Ki-Nam;Hwang, Hyo-Jeong;Kwon, Sehyug;Hwang, Ji-Yun;Kim, Hye-Young
    • Journal of Nutrition and Health
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    • v.55 no.2
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    • pp.278-295
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    • 2022
  • Purpose: This study was undertaken to revise and update the Nutrition Quotient (NQ) for Korean adults, a tool used to evaluate dietary quality and behavior. Methods: The first 31 items of the measurable food behavior checklist were adopted based on considerations of the previous NQ checklist, recent literature reviews, national nutrition policies, and recommendations. A pilot survey was conducted on 100 adults aged 19 to 64 residing in Seoul and Gyeonggi Province from March to April 2021 using a provisional 26- item checklist. Pilot survey data were analyzed using factor analysis and frequency analysis to determine whether checklist items were well organized and responses to questions were well distributed, respectively. As a result, the number of items on the food behavior checklist was reduced to 23 for the nationwide survey, which was administered to 1,000 adults (470 men and 530 women) aged 19 to 64 from May to August 2021. The construct validity of the developed NQ (NQ-2021) was assessed using confirmatory factor analysis, linear structural relations. Results: Eighteen items in 3 categories, that is, balance (8 items), moderation (6 items), and practice (4 items), were finally included in NQ-2021 food behavior checklist. 'Balance' items addressed the intake frequencies of essential foods, 'moderation' items the frequencies of unhealthy food intakes or behaviors, and 'practice' items addressed eating behaviors. Items and categories were weighted using standardized path coefficients to calculate NQ-2021 scores. Conclusion: The updated NQ-2021 appears to be suitable for easily and quickly assessing the diet qualities and behaviors of Korean adults.

A study on the derivation and evaluation of flow duration curve (FDC) using deep learning with a long short-term memory (LSTM) networks and soil water assessment tool (SWAT) (LSTM Networks 딥러닝 기법과 SWAT을 이용한 유량지속곡선 도출 및 평가)

  • Choi, Jung-Ryel;An, Sung-Wook;Choi, Jin-Young;Kim, Byung-Sik
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1107-1118
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    • 2021
  • Climate change brought on by global warming increased the frequency of flood and drought on the Korean Peninsula, along with the casualties and physical damage resulting therefrom. Preparation and response to these water disasters requires national-level planning for water resource management. In addition, watershed-level management of water resources requires flow duration curves (FDC) derived from continuous data based on long-term observations. Traditionally, in water resource studies, physical rainfall-runoff models are widely used to generate duration curves. However, a number of recent studies explored the use of data-based deep learning techniques for runoff prediction. Physical models produce hydraulically and hydrologically reliable results. However, these models require a high level of understanding and may also take longer to operate. On the other hand, data-based deep-learning techniques offer the benefit if less input data requirement and shorter operation time. However, the relationship between input and output data is processed in a black box, making it impossible to consider hydraulic and hydrological characteristics. This study chose one from each category. For the physical model, this study calculated long-term data without missing data using parameter calibration of the Soil Water Assessment Tool (SWAT), a physical model tested for its applicability in Korea and other countries. The data was used as training data for the Long Short-Term Memory (LSTM) data-based deep learning technique. An anlysis of the time-series data fond that, during the calibration period (2017-18), the Nash-Sutcliffe Efficiency (NSE) and the determinanation coefficient for fit comparison were high at 0.04 and 0.03, respectively, indicating that the SWAT results are superior to the LSTM results. In addition, the annual time-series data from the models were sorted in the descending order, and the resulting flow duration curves were compared with the duration curves based on the observed flow, and the NSE for the SWAT and the LSTM models were 0.95 and 0.91, respectively, and the determination coefficients were 0.96 and 0.92, respectively. The findings indicate that both models yield good performance. Even though the LSTM requires improved simulation accuracy in the low flow sections, the LSTM appears to be widely applicable to calculating flow duration curves for large basins that require longer time for model development and operation due to vast data input, and non-measured basins with insufficient input data.

Smart Electric Mobility Operating System Integrated with Off-Grid Solar Power Plants in Tanzania: Vision and Trial Run (탄자니아의 태양광 발전소와 통합된 전기 모빌리티 운영 시스템 : 비전과 시범운행)

  • Rhee, Hyop-Seung;Im, Hyuck-Soon;Manongi, Frank Andrew;Shin, Young-In;Song, Ho-Won;Jung, Woo-Kyun;Ahn, Sung-Hoon
    • Journal of Appropriate Technology
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    • v.7 no.2
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    • pp.127-135
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    • 2021
  • To respond to the threat of global warming, countries around the world are promoting the spread of renewable energy and reduction of carbon emissions. In accordance with the United Nation's Sustainable Development Goal to combat climate change and its impacts, global automakers are pushing for a full transition to electric vehicles within the next 10 years. Electric vehicles can be a useful means for reducing carbon emissions, but in order to reduce carbon generated in the stage of producing electricity for charging, a power generation system using eco-friendly renewable energy is required. In this study, we propose a smart electric mobility operating system integrated with off-grid solar power plants established in Tanzania, Africa. By applying smart monitoring and communication functions based on Arduino-based computing devices, information such as remaining battery capacity, battery status, location, speed, altitude, and road conditions of an electric vehicle or electric motorcycle is monitored. In addition, we present a scenario that communicates with the surrounding independent solar power plant infrastructure to predict the drivable distance and optimize the charging schedule and route to the destination. The feasibility of the proposed system was verified through test runs of electric motorcycles. In considering local environmental characteristics in Tanzania for the operation of the electric mobility system, factors such as eco-friendliness, economic feasibility, ease of operation, and compatibility should be weighed. The smart electric mobility operating system proposed in this study can be an important basis for implementing the SDGs' climate change response.

Science and Technology ODA Promotion of Korea through ICT of Global Problem Solving Centers -Suggestion on the mid- and short-term projects promotion of science and technology ODA roadmap- (글로벌문제해결거점 ICT화를 통한 한국형 과학기술 ODA 추진 -과학기술 ODA 중·단기 과제 추진에 대한 제언-)

  • Jung, Woo-Kyun;Shin, Kwanwoo;Jeong, Seongpil;Park, Hunkyun;Park, Eun Sun;Ahn, Sung-Hoon
    • Journal of Appropriate Technology
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    • v.7 no.2
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    • pp.162-171
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    • 2021
  • The Korean government proposed the K-SDGs in 2019 to promote the UN SDGs, but the role and tasks of science and technology, an important means of implementing the SDGs, have not been materialized. Accordingly, the role of science and technology ODA for the SDGs was established through the Ministry of Science and ICT's policy research project 'Science and Technology ODA Promotion Roadmap for Spreading the New Southern Policy and Realizing the 2030 SDGs'. In addition, goals, strategies, and core tasks for the next 10 years were derived in 10 fields such as water, climate change, energy, and ICT. In this paper, we analyze 30 key tasks of the ODA promotion roadmap for science and technology for the realization of SDGs, and propose mid- and short-term tasks and implementation plans for effective roadmap promotion. Among the key tasks in each field, four common elements were derived: ICT/smartization, a global problem-solving center, cooperation/communication platform, and business model/startup support platform/living lab that can create and integrate roadmap implementation conditions. In addition, the four mid- and short-term tasks, 1) Establishment of science and technology ODA network, 2) Establishment of living lab business platform linked to start-up support business, 3) Local smartization of recipient countries, and 4) Expand and secure sustainability of global problem-solving centers, were set in relation to the implementation of the detailed roadmap. For the derived mid- and short-term tasks, detailed implementation plans based on the ICTization of global problem-solving centers were presented. The implementation of the mid- and short-term tasks presented in this paper can contribute to the more effective achievement of the science and technology ODA roadmap, and it is expected that Korea's implementation of SDGs will also achieve high performance.