• Title/Summary/Keyword: high range

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Monitoring Roadbed Stability to Prevent Cascading Hazards in Daejeon City, South Korea, Using Sentinel-1 SAR Data

  • Manik DAS ADHIKARI;Seung-Bin LEE;Seong-Wuk KIM;Hyeon-Jun KIM;Jeremie TUGANISHURI;Sang-Guk YUM;Ji-Myong KIM
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.102-111
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    • 2024
  • Roadbed stability is paramount in urban areas as it directly affects public safety and city operations. South Korea's major metropolis has experienced 1127 cases of ground subsidence since 2014, affecting subways, roads, railways, and construction sites. Notably, about 40% of these incidents coincide with heavy summer rainfall, while 60% resulted from utility damage, improper backfill, and groundwater fluctuations. Subsequently, roadbed instability leads to a range of cascading hazards, including sinkholes and road failures, endangering public safety and the economy. Therefore, continuous monitoring of roadbed stability and implementing proactive measures are essential for a resilient transportation infrastructure. However, terrestrial in-situ observations like GPS provide accurate surface's displacement with high temporal accuracy but limited spatial resolution. To address this issue, we used the InSAR permanent scatterer (PSInSAR) technique to process 35 Sentinel-1 SLC datasets acquired between 2017 and 2022 to monitor and prevent cascading hazards in Daejeon City, South Korea. The results revealed an average subsidence rate of -0.88mm/year with a maximum of -7.73 mm/year. Notably, the southern part of the city exhibited significant roadbed instability, with an average and maximum cumulative subsidence of -5.13 mm and -44.95 mm, respectively. The deformation data was then integrated with road geometry to develop a vulnerability map of the city, highlighting the pronounced roadbed deformation in the southern region. Time-series subsidence variations correlated with groundwater fluctuations data from 2017 to 2022, showing a decline in groundwater levels from 4.63m to 9.9m in the southern region. Furthermore, a comparison between subsidence rates and effective shear wave velocity (Vs30) revealed that most subsidence events were associated with Vs30 values below 420 m/sec, indicating a clear lithological influence on the spatial distribution of roadbed instability. Thus, the integrated geotechnical and hydrogeological data with PSInSAR monitoring can better understand the processes responsible for roadbed instability in areas with small-scale variations.

Detection of Abnormal CAN Messages Using Periodicity and Time Series Analysis (CAN 메시지의 주기성과 시계열 분석을 활용한 비정상 탐지 방법)

  • Se-Rin Kim;Ji-Hyun Sung;Beom-Heon Youn;Harksu Cho
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.9
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    • pp.395-403
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    • 2024
  • Recently, with the advancement of technology, the automotive industry has seen an increase in network connectivity. CAN (Controller Area Network) bus technology enables fast and efficient data communication between various electronic devices and systems within a vehicle, providing a platform that integrates and manages a wide range of functions, from core systems to auxiliary features. However, this increased connectivity raises concerns about network security, as external attackers could potentially gain access to the automotive network, taking control of the vehicle or stealing personal information. This paper analyzed abnormal messages occurring in CAN and confirmed that message occurrence periodicity, frequency, and data changes are important factors in the detection of abnormal messages. Through DBC decoding, the specific meanings of CAN messages were interpreted. Based on this, a model for classifying abnormalities was proposed using the GRU model to analyze the periodicity and trend of message occurrences by measuring the difference (residual) between the predicted and actual messages occurring within a certain period as an abnormality metric. Additionally, for multi-class classification of attack techniques on abnormal messages, a Random Forest model was introduced as a multi-classifier using message occurrence frequency, periodicity, and residuals, achieving improved performance. This model achieved a high accuracy of over 99% in detecting abnormal messages and demonstrated superior performance compared to other existing models.

Physicochemical and Diastase Activity Properties for Domestic and Imported Honey (국내산 및 수입산 벌꿀의 물리적 특성 및 Diastase 활성 평가)

  • Juae Gil;Wang Yeol Lee;Hye-kyung Kim
    • Journal of Practical Agriculture & Fisheries Research
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    • v.26 no.3
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    • pp.64-71
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    • 2024
  • This study investigated the electrical conductivity, pH, and diastase activity characteristics of 31 types of domestic and imported honey, which are not currently used in the Korean honey grading system, to determine the feasibility of introducing these indicators into the honey grading system. The results showed that the moisture content of domestic and imported honey is around 20%, indicating that domestic quality standards are relatively well controlled, and the pH values are distributed in the range of pH 3.91 to 6.31. The electrical conductivity of domestic and imported honey ranged from 0.09-1.51mS/cm, which showed a large difference between the samples. Although there was a large difference of electrical conductivity from the honey types, further research is needed to determine whether it is applicable to Korean honey. Finally, in the case of diastase activity, Korean honey showed relatively high DN values compared to imported honey from Vietnam, New Zealand, the United States, and China. Therefore, diastase activity is an important indicator for evaluating the quality of honey, and further research is needed to confirm its feasibility as an additional indicator for the domestic honey grading system in Korea. This study evaluated the physical properties and enzyme activity characteristics of domestic and imported honey, and is expected to provide basic information for the establishment of a honey grading system, thereby improving consumer trust in the honey grading system and enhancing the development of honey distribution in Korea.

Changes of Phytoplankton Community and Oceanic Physicochemical Properties of Jeju Coast in Spring and Summer Seasons, 2022 (2022년 춘계에서 하계 제주 연안의 해양 물리화학적 특성 및 식물플랑크톤 출현 변동)

  • Ji Yeon Jang;Joo-Hwan Kim;Do Yun Jeong;Su-Min Kang;Xu Wang;Yun Hyeong Choi;Joon-Baek Lee;Young Kyun Lim;Seung Ho Baek;Jin Ho Kim
    • Ocean and Polar Research
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    • v.46 no.2
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    • pp.105-121
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    • 2024
  • Phytoplankton, as key primary producers, play a critical role in the dynamics of marine ecosystems. This study explores the variation in phytoplankton species appearance along the Jeju coast from spring to summer 2022, emphasizing the stratification and changes in nutrient dynamics. Through extensive field surveys at twelve points around Jeju Island, we measured a range of physical and chemical oceanographic parameters. Monthly average stratification indices displayed an abrupt increase from 22 in May to 3,196 in August, highlighting intense stratification, significantly influenced by the influx of Changjiang River Diluted Water during the summer months. Concurrently, nutrient concentrations exhibited a downward trend, with nitrate and nitrite levels decreasing from 6.7 µM in March to 1.3 µM in July, and phosphate levels declining from 0.31 µM to 0.02 µM during the same period, while silicate concentrations, ranging from 6.8 to 9.8 µM, remained consistently high throughout the study. Similarly, a reduction in monthly average phytoplankton biomass was observed, with concentrations peaking in the spring (April and May) at 406,053 to 409,139 cells L-1 and declining to 45,546 to 118,214 cells L-1 by summer (June to August). Diatoms (Chaetoceros spp. and Skeletonema spp.) dominated the phytoplankton community throughout the period; however, an increased proportion of dinoflagellates (Gyrodinium spp. and Heterocapsa spp.) was observed during the summer months, when stratification was most pronounced. This study confirms that variations in currents and water masses impacting the Jeju coast can significantly influence phytoplankton community dynamics, emphasizing the need for ongoing monitoring in this region.

Characteristics of scenario text reading fluency in middle school students with poor reading skills (중학교 읽기부진 학생의 시나리오 글 읽기 유창성 특성)

  • Jihye Park;Cheoljae Seong
    • Phonetics and Speech Sciences
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    • v.16 no.3
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    • pp.39-48
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    • 2024
  • Reading fluency refers to the ability to read sentences or paragraphs accurately, quickly, and with appropriate prosodic expression. Most reading fluency assessments exclude expressive ability because it is difficult to objectively measure. Therefore, in this study, we examined all elements of reading fluency by analyzing prosodic characteristics of reading scenario texts to maximize expressive reading. The subjects were 30 male students in the first and second grades of middle school (15 normal and 15 poor readers). To analyze the accuracy aspect, error types at the syllable level were analyzed for each group, and related acoustic variables were measured and examined in terms of prosodic aspects. The reading accuracy analysis showed that the poor reading group had a higher error rate than the normal. In terms of error types, the normal group showed the order of 'substitution>omission>correction>insertion>repetition', whereas the poor reading group was in the order of 'correction>substitution>repetition/insertion>omission'. For the speech tempo, the dyslexic students were slower than the typical students for all sentence types. The prosodic variables also showed a high frequency of accentual phrases (AP) and intonation phrases (IP) in sentences along with a wide intensity range.

A Process-based Relative Sea-level Budget Along the Coast of Korean Peninsula Over 1993-2018 (1993-2018년 한반도 연안 상대해수면 수지 분석)

  • Hyeonsoo Cha;Seongbae Jo;Jae-Hong Moon
    • Ocean and Polar Research
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    • v.46 no.1
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    • pp.31-42
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    • 2024
  • Due to physical processes varying in space and time, regional sea-level rise (SLR) significantly deviates from the global mean. Thus, understanding and quantifying the contribution of each process to regional sea-level change is crucial to prevent low-lying inundation in preparation for future ocean conditions. In this study, we assessed to what degree sterodynamic (SD) effects (i.e., density-driven steric expansion and mass redistribution due to ocean circulation), contemporary mass redistribution (CMR), and glacial isostatic adjustment (GIA) contribute relative sea-level rise around the Korean coast from 1993 to 2018, with independent observations and reanalysis datasets. The assessment showed that the tide gauge-observed SLR trend can be explained by the sum of each component at 16 of 19 locations. The major contributors to relative SLR are SD effects of 2.03±0.27 mm/yr and CMR components of 1.31±0.05 mm/yr, while GIA drives sea-level decreasing of -0.27±0.15 mm/yr on the Korean coast. It was also found that the spatial deviations of SLR are primarily caused by the SD effects. In addition, the evaluation of vertical land motion (VLM) based on altimetry and tide gauge indicates that most tide gauge locations have experienced uplift during at least altimetry period, whereas Wido station has experienced particularly high rate of subsidence that contributed to the SLR acceleration. Further examination of the impact of earth deformation due to CMR, GIA, and local process on the VLM trends demonstrated that the GIA and CMR contribute to land uplift with the average of 0.35±0.15 mm/yr and 0.17±0.05 mm/yr, respectively. On the other hand, the local processes like groundwater depletion and sediment compaction showed a wide range of variability, from -1.61 to 0.58 mm/yr, indicating a significant contribution to regional differences in vertical land motion.

Evaluation of radioactivity and radiological parameters in soil samples in Isparta, Türkiye

  • Mehmet Ertan Kurkcuoglu;Fatih Caglar Kahraman;Serdar Dizman;Gulcin Bilgici Cengiz
    • Nuclear Engineering and Technology
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    • v.56 no.10
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    • pp.4007-4017
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    • 2024
  • In the city centre of Isparta, located in the southwestern part of Türkiye, indoor radon concentrations and gamma dose rate levels were observed above the world and country averages. For this reason, the determination of the natural radioactivity levels in soil samples of Isparta province is of great interest. In the present study, the activity concentrations of radionuclides (namely 226Ra,232Th, 40K and 137Cs) were investigated in the soil samples collected from 72 different points including the city centre and 12 towns of Isparta by using a gamma spectrometer with a high-purity germanium (HPGe) detector. The activity concentrations of 226Ra,232Th, 40K and 137Cs radionuclides in the samples were found in the range of 4.08 ± 0.39-69.84 ± 1.43 Bqkg-1, 2.63 ± 0.28-65.66 ± 1.41 Bqkg-1, 44.48 ± 3.17-452.38 ± 9.65 Bqkg-1 and 0.28 ± 0.18-19.10 ± 0.61 Bqkg-1 respectively. The averages of all the measurements were determined as 15.69 ± 0.72 Bqkg-1 for 226Ra, 15.40 ± 0.78 Bqkg-1 for 232Th, 210.60 ± 6.22 Bqkg-1 for 40K and 3.44 ± 0.31 Bqkg-1 for 137Cs. Although these values were below the country and world averages, it was revealed that the 226Ra and 232Th activity concentrations in the city centre exceeded the national and world averages. In addition, radiological risk maps of the analysed radionuclides were produced for the first time, covering all towns within the Isparta province. To evaluate the radiological hazards resulting from natural radionuclides, external hazard index (Hex), absorbed dose rate (D), annual effective dose equivalent (AEDE), male and female lifetime cancer risk (LCR) values were also calculated. The outcomes of this study revealed that all the radiological parameter averages for Isparta were lower than the world and country averages but the calculation results for the city centre displayed the opposite of this situation except for the external hazard index.

Marine-Life-Detection and Density-Estimation Algorithms Based on Underwater Images and Scientific Sonar Systems (수중영상과 과학어탐 시스템 기반 해양생물 탐지 밀도추정 알고리즘 연구)

  • Young-Tae Son;Sang-yeup Jin;Jongchan Lee;Mookun Kim;Ju Young Byon;Hyung Tae Moo;Choong Hun Shin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.5
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    • pp.373-386
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    • 2024
  • The aim of this study is to establish a system for the early detection of high-density harmful marine organisms. Considering its accuracy and processing speed, YOLOv8m (You Only Look Once version 8 medium) is selected as a suitable model for real-time underwater image-based object detection. Applying the detection algorithm allows one to detect numerous fish and the occasional occurrence of jellyfish. The average precision, recall rate, and mAP (mean Average Precision) of the trained model are 0.931, 0.881, and 0.948 for the validation data, respectively. Also, the mAP for each class is 0.97 for fish, 0.97 for jellyfish and 0.91 for salpa, all of which exceed 0.9 (90%) for classes demonstrating the excellent performance of the model. A scientific sonar system is used to address the object-detection range and validate the detection results. Additionally, integrating and grid averaging the echo strength allows the detection results to be smoothed in space and time. Mean-volume back-scattering strength values are obtained to reflect the detection variability within the analysis domain. Furthermore, an underwater image-based object (marine lives) detection algorithm, an image-correction technique based on the underwater environmental conditions (including nights), and quantified detection results based on a scientific sonar system are presented, which demonstrate the utility of the detection system in various applications.

Study on Navigation Data Preprocessing Technology for Efficient Route Clustering (효율적인 항로 군집화를 위한 항해 데이터 전처리 기술에 관한 연구)

  • Dae-Han Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.5
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    • pp.415-425
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    • 2024
  • The global maritime industry is developing rapidly owing to the emergence of autonomous ship technology, and interest in utilizing artificial intelligence derived from marine data is increasing. Among the diverse technological developments, ship-route clustering is emerging as an important technology for the commercialization of autonomous ships. Through route clustering, ship-route patterns are extracted from the sea to obtain the fastest and safest route and serve as a basis for the development of a collision-prevention system. High-quality, well-processed data are essential in ensuring the accuracy and efficiency of route-clustering algorithms. In this study, among the various route-clustering methods, we focus on the ship-route-similarity-based clustering method, which can accurately reflect the actual shape and characteristics of a route. To maximize the efficiency of this method, we attempt to formulate an optimal combination of data-preprocessing technologies. Specifically, we combine four methods of measuring similarity between ship routes and three dimensionality-reducing methods. We perform k-means cluster analysis for each combination and then quantitatively evaluate the results using the silhouette index to obtain the best-performing preprocessing combination. This study extends beyond merely identifying the optimal preprocessing technique and emphasizes the importance of extracting meaningful information from a wide range of ocean data. Additionally, this study can be used as a reference for effectively responding to the digital transformation of the maritime and shipping industry in the Fourth Industrial Revolution era.

Synthesis and characterization of highly luminescent upconversion nanoparticles (공동침전법 기반 고발광 상향변환 나노입자의 합성법 및 특성 분석)

  • Sung Woo Jang;Won Bin Im
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.34 no.5
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    • pp.187-193
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    • 2024
  • Lanthanide-doped upconversion nanoparticles (UCNPs) are capable of converting low energy near-infrared photons into relatively high energy visible and ultraviolet photon. Their unique optical properties have a broad range of applications such as volumetric display, security labelling and deep-tissue imaging. Herein, the optically active hexagonal phased NaYF4:Nd3+, Yb3+@NaYF4:Yb3+, Tm3+ core-shell nanoparticles were synthesized via facile co-precipitation method which can show upconversion luminescence upon 745 nm laser excitation. This is accomplished by taking advantages of the large absorption cross-section of Nd3+ ions between 720 to 760 nm plus efficient spatial energy transfer and migration which starts from Nd3+ ions to Yb3+ ions and Tm3+ ions. Also, the formation of inert NaYF4 shell significantly enhance the upconversion efficiency. The core-shell-shell UCNPs were characterized with X-ray diffraction (XRD) patterns, scanning electron microscope (SEM), transmission electron microscope (TEM), absorbance, and photoluminescence spectra.