• Title/Summary/Keyword: point source model

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A Study on The Range Estimation of Underwater Acoustic Source using FDOA and TDOA of Multipath Signals (다중경로 신호의 도달 주파수와 시간 차를 이용한 수중음원 거리 추정 연구)

  • Son, Yoon-Jun;Son, Gi-Joong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.311-318
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    • 2021
  • Underwater, signals are transmitted by sound waves. Sound waves are transmitted through a multipath, either directly or through reflection, due to the variety of underwater environmental characteristics. In such diverse and complex underwater environments, tests must be conducted to determine the extent of the hazard from the survivability and pitfalls of submarines by measuring the underwater radiated noise. Usually, the sound source level measurement of underwater radiated noise should be made within the closest point (CPA: Closest Point of Approach) ± a few meters between the measurement sensor and the submarine. In this study, FDOA and TDOA methods were proposed to estimate the underwater source range. A simulation based on the underwater channel model confirmed the performance of the proposed method.

Sidewalk Gaseous Pollutants Estimation Through UAV Video-based Model

  • Omar, Wael;Lee, Impyeong
    • Korean Journal of Remote Sensing
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    • v.38 no.1
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    • pp.1-20
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    • 2022
  • As unmanned aerial vehicle (UAV) technology grew in popularity over the years, it was introduced for air quality monitoring. This can easily be used to estimate the sidewalk emission concentration by calculating road traffic emission factors of different vehicle types. These calculations require a simulation of the spread of pollutants from one or more sources given for estimation. For this purpose, a Gaussian plume dispersion model was developed based on the US EPA Motor Vehicle Emissions Simulator (MOVES), which provides an accurate estimate of fuel consumption and pollutant emissions from vehicles under a wide range of user-defined conditions. This paper describes a methodology for estimating emission concentration on the sidewalk emitted by different types of vehicles. This line source considers vehicle parameters, wind speed and direction, and pollutant concentration using a UAV equipped with a monocular camera. All were sampled over an hourly interval. In this article, the YOLOv5 deep learning model is developed, vehicle tracking is used through Deep SORT (Simple Online and Realtime Tracking), vehicle localization using a homography transformation matrix to locate each vehicle and calculate the parameters of speed and acceleration, and ultimately a Gaussian plume dispersion model was developed to estimate the CO, NOx concentrations at a sidewalk point. The results demonstrate that these estimated pollutants values are good to give a fast and reasonable indication for any near road receptor point using a cheap UAV without installing air monitoring stations along the road.

Numerical Simulation of Dispersion of a Vast Point Source in Coastal Area using the Local Wind Model (국지풍모델을 이용한 연안지역 거대 점오염원의 이류확산 수치모의)

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    • Journal of Environmental Science International
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    • v.7 no.4
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    • pp.511-522
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    • 1998
  • The two-stage numerical model was used to study the relation between three-dimensional local wind seal area for Korean peninsula. The first stave is three dimensional time-dependent local wind model which elves the wind field and vertical diffusion coefncient. The second stage is advection/duusion model which uses the results of the first stage as input data. First, wand fields on Korean peninsula for none synoptic scale wand showed typical land and sea breeze circulation, and the emitted particles were transported by sea breeze for daytime, emissions return to sea by land breeze for nighttime.

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Detection and Grading of Compost Heap Using UAV and Deep Learning (UAV와 딥러닝을 활용한 야적퇴비 탐지 및 관리등급 산정)

  • Miso Park;Heung-Min Kim;Youngmin Kim;Suho Bak;Tak-Young Kim;Seon Woong Jang
    • Korean Journal of Remote Sensing
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    • v.40 no.1
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    • pp.33-43
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    • 2024
  • This research assessed the applicability of the You Only Look Once (YOLO)v8 and DeepLabv3+ models for the effective detection of compost heaps, identified as a significant source of non-point source pollution. Utilizing high-resolution imagery acquired through Unmanned Aerial Vehicles(UAVs), the study conducted a comprehensive comparison and analysis of the quantitative and qualitative performances. In the quantitative evaluation, the YOLOv8 model demonstrated superior performance across various metrics, particularly in its ability to accurately distinguish the presence or absence of covers on compost heaps. These outcomes imply that the YOLOv8 model is highly effective in the precise detection and classification of compost heaps, thereby providing a novel approach for assessing the management grades of compost heaps and contributing to non-point source pollution management. This study suggests that utilizing UAVs and deep learning technologies for detecting and managing compost heaps can address the constraints linked to traditional field survey methods, thereby facilitating the establishment of accurate and effective non-point source pollution management strategies, and contributing to the safeguarding of aquatic environments.

Application of FDC and LDC using HSPF Model to Support Total Water Load Management System (오염총량관리제 지원을 위한 유역모형 기반 유량지속곡선 및 부하지속곡선 활용방안)

  • Lee, Eun Jeong;Kim, Tae Geun;Keum, Ho Jun
    • Journal of Korean Society on Water Environment
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    • v.34 no.1
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    • pp.33-45
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    • 2018
  • In this study, we discussed the application of Watershed model and Load Duration Curves (LDC) in Total Water Load Management System. The Flow Duration Curves (FDC) and the LDC were generated using the results of the daily HSPF model and analyzed on monthly or yearly flow duration variability, and non-point pollutant discharge loads by entire flow conditions. As a result of the calibration and verification of the HSPF model, both the flow and the water quality were appropriately simulated. The simulated values were used to generate the Flow Duration Curve and the Load Duration Curve, and then the excess rate by entire flow conditions was analyzed. The point and non-point pollutant discharge loads for entire flow conditions were calculated. It is possible to evaluate the variability of water quality in specific flow duration through the curves reflecting the flow duration variability and to confirm the characteristics of the pollutant source. For a more scientific Total Water Load Management System, it is necessary to switch from a current system to a system that can take into account the entire flow conditions. For this, the application of the watershed model and load duration curve is considered to be the best alternative.

Development of Long-Range Atmospheric Dispersion Model against a Nuclear Accident (원전 사고를 대비한 장거리 대기 확산모델 개발)

  • Suh, Kyung-Suk;Kim, Eun-Han;Han, Moon-Hee
    • Journal of Radiation Protection and Research
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    • v.27 no.3
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    • pp.171-179
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    • 2002
  • The three-dimensional long-range dispersion model has been developed to understand the characteristics of the transport and diffusion of radioactive materials released into atmosphere. The model is designed to compute air concentration and ground deposition at distances up to some thousands of kilometers from the source point in horizontal direction. The vertical turbulent motion is considered separately within the mixing layer and above the mixing layer. The test simulation was performed In the area of Northeast Asia. The release point was assumed in the east part of China. The calculated concentration distributions art mainly advected toward the southeast part of release point by the wind fields. The developed model will be used to estimate the radiological consequences against a nuclear accident. The model will be supplemented by the comparative study using the data of the long-range field experiments.

The NPS Analysis and CSO Management Based on SWMM for Oncheon Basin (SWMM 모형을 이용한 비점오염 분석 및 CSO 관리방안 연구 - 부산시 온천천 유역 대상 -)

  • Shin, Hyun Suk;Son, Jeong Hwa;Jang, Jong Kyung;Shon, Tae Seok;Kang, Dookee;Cho, Dukjoon
    • Journal of Korean Society on Water Environment
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    • v.25 no.2
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    • pp.268-280
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    • 2009
  • Oncheon basin which are located in Busan is divided into 43 basin on the basis of main pipe, constructed with Storm Water Management Model (SWMM). Occurrence situation for Outflow and pollutant loads by long-term continuous rainfall is examined for treatment district and river analysis point of Oncheon basin and a reduction vs effectiveness table for effective CSOs managements is made for each of treatment districts according to each of managements. In case that treatment equipment is located at the discharge point of CSO, treatment efficiency is analysed. It is supposed that treatment equipment have an efficiency on the basis of a concentration and runoff discharge over a critical flow is discharged with it untreated and treating runoff discharge with treatment equipment at each of runoff discharge points and treating it gathered at sewage treatment plant (STP) through trunk sewer is compared for a relative treatment efficiency.

AN EFFICIENT AND SECURE STRONG DESIGNATED VERIFIER SIGNATURE SCHEME WITHOUT BILINEAR PAIRINGS

  • Islam, Sk Hafizul;Biswas, G.P.
    • Journal of applied mathematics & informatics
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    • v.31 no.3_4
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    • pp.425-441
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    • 2013
  • In literature, several strong designated verifier signature (SDVS) schemes have been devised using elliptic curve bilinear pairing and map-topoint (MTP) hash function. The bilinear pairing requires a super-singular elliptic curve group having large number of elements and the relative computation cost of it is approximately two to three times higher than that of elliptic curve point multiplication, which indicates that bilinear pairing is an expensive operation. Moreover, the MTP function, which maps a user identity into an elliptic curve point, is more expensive than an elliptic curve scalar point multiplication. Hence, the SDVS schemes from bilinear pairing and MTP hash function are not efficient in real environments. Thus, a cost-efficient SDVS scheme using elliptic curve cryptography with pairingfree operation is proposed in this paper that instead of MTP hash function uses a general cryptographic hash function. The security analysis shows that our scheme is secure in the random oracle model with the hardness assumption of CDH problem. In addition, the formal security validation of the proposed scheme is done using AVISPA tool (Automated Validation of Internet Security Protocols and Applications) that demonstrated that our scheme is unforgeable against passive and active attacks. Our scheme also satisfies the different properties of an SDVS scheme including strongness, source hiding, non-transferability and unforgeability. The comparison of our scheme with others are given, which shows that it outperforms in terms of security, computation cost and bandwidth requirement.

MIGSHIELD: A new model-based interactive point kernel gamma ray shielding package for virtual environment

  • Li, Mengkun;Xu, Zhihui;Li, Wei;Yang, Jun;Yang, Ming;Lu, Hongxin;Dai, Xinyu
    • Nuclear Engineering and Technology
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    • v.52 no.7
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    • pp.1557-1564
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    • 2020
  • In this paper, 3D model-based interactive gamma ray shielding package (MIGSHIELD) is developed in virtual reality platform for windows operating system. In MIGSHIELD, the computational methodology is based on point kernel algorithm (PK), several key parameters of PK are obtained using new technique and new methods. MIGSHIELD has interactive capability with virtual world. The main features made in the MIGSHIELD are (i) handling of physical information from virtual world, (ii) handling of arbitrary shapes radioactive source, (iii) calculating the mean free path of gamma ray, (iv) providing interactive function between PK and virtual world, (v) making better use of PK for virtual simulation, (vi) plug and play. The developed package will be of immense use for calculations involving radiation dose assessment in nuclear safety and contributing to fast radiation simulation for virtual nuclear facilities.

Analyzing the Effectiveness of a Best Management Practice on Sediment Yields Using a Spatially Distributed Model (공간분포형 모델을 이용한 최적관리방안의 토사 유출 저감 효과에 관한 연구)

  • Lee, Taesoo
    • Journal of the Korean Geographical Society
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    • v.52 no.1
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    • pp.15-24
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    • 2017
  • Management of non-point sources for water quality control practice is complicating but very important. Sediments mainly from croplands are prioritized in non-point source management due to the sediment attached phosphorous. In this study, flow and sediment yields are modeled in Oenam watershed located in Hwasun, Jeollanam-do, a upstream of Juam Lake. A spatially distributed model and GIS(Geographic Information System) data was used to find out hot spots of sediment yields, to analyze the effectiveness of filter strips, and to visualize the effectiveness. The impacts of filter strips was estimated on the reduction of flow and sediments at 17.2% and 46.4% respectively when the filter strips were installed in the sub-watersheds with the most serious sediment yields.

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