• Title/Summary/Keyword: Marine characteristics

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Numerical Analysis for Dynamic Behavioral Characteristics of Submerged Floating Tunnel according to Shore Connection Designs (지반 접속부 설계에 따른 수중터널의 동적 거동 특성에 대한 수치해석적 연구)

  • Seok-Jun, Kang;Joohyun, Park;Gye-Chun, Cho
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.25 no.1
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    • pp.27-41
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    • 2023
  • Submerged floating tunnels must be connected to the ground to connect continents. The displacement imbalance at the shore connection between the underground bored tunnel and submerged floating tunnel can cause stress concentration, accompanying a fracture at the shore connection. The elastic joint has been proposed as a method to relive the stress concentration, however, the effect of the elastic joints on the dynamic behavior should be evaluated. In this study, the submerged floating tunnel and shore connection under dynamic load conditions were simulated through numerical analysis using a numerical model verified through a small-scaled physical model test. The resonant frequency was considered as a dynamic behavioral characteristic of the tunnel under the impact load, and it was confirmed that the stiffness of the elastic joint and the resonant frequency exhibit a power function relationship. When the shore connection is designed with a soft joint, the resonant frequency of the tunnel is reduced, which not only increases the risk of resonance in the marine environment where a dynamic load of low frequency is applied, but also greatly increases the maximum velocity of tunnel when resonance occurs.

A channel parameter-based weighting method for performance improvement of underwater acoustic communication system using single vector sensor (단일 벡터센서의 수중음향 통신 시스템 성능 향상을 위한 채널 파라미터 기반 가중 방법)

  • Kang-Hoon, Choi;Jee Woong, Choi
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.6
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    • pp.610-620
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    • 2022
  • An acoustic vector sensor can simultaneously receive vector quantities, such as particle velocity and acceleration, as well as acoustic pressure at one location, and thus it can be used as a single input multiple output receiver in underwater acoustic communication systems. On the other hand, vector signals received by a single vector sensor have different channel characteristics due to the azimuth angle between the source and receiver and the difference in propagation angle of multipath in each component, producing different communication performances. In this paper, we propose a channel parameter-based weighting method to improve the performance of an acoustic communication system using a single vector sensor. To verify the proposed method, we used communication data collected from the experiment conducted during the KOREX-17 (Korea Reverberation Experiment). For communication demodulation, block-based time reversal technique which is robust against time-varying channels were utilized. Finally, the communication results showed that the effectiveness of the channel parameter-based weighting method for the underwater communication system using a single vector sensor was verified.

Experiments for Pressure Drop of Scrubbing Layer in a Scrubber System (스크러버 내 충진층에서의 압력강하 특성에 관한 실험적 연구)

  • Yong-Shik Han;Kyu Hyung Do;Kyungyul Chung;Byungil Choi;Hwalong You;Changhyun Kim;Minchang Kim;Taehoon Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.60 no.3
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    • pp.186-192
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    • 2023
  • According to the regulation on the pollution of the marine environment, SOx emission from ships has to be reduced. A SOx scrubbing system installed in a funnel of a ship is considered in order to reduce SOx emission. A scrubbing layer with a porous material is present in the funnel to increase the contact area between exhaust gas and water. In this study, experiments on the pressure drop characteristics in the scrubbing layer are conducted to investigate the effect of the scrubber on the engine load. The pressure drop according to flow rate of air instead of exhaust gas was measured for fillers such as sphere, pall ring and saddle in the scrubbing layer. First of all, porosity is experimentally measured for the three types of filler and it is confirmed that the porosity of the saddle-type filler was the largest. The pressure drop according to the change in air flow rate was measured for the three types of fillers in the scrubbing layer. As a result, the pressure drop was the smallest in the scrubbing layer with the saddle-type filler which has the largest porosity. In addition, the effect of spraying water flowing counter flow against air flow is experimentally examined. It is known that the pressure drop is increased because the air flow space is reduced when water is sprayed. In the case of the saddle, the pressure drop is about 1.5 to 2 times greater than that when only air flows at the optimum exhaust gas-water injection ratio.

Stress-strain Relations of Concrete Confined with Tubes Having Varying GFRP Layers (수적층 및 필라멘트 와인딩을 이용한 GFRP튜브로 구속된 콘크리트의 압축 거동)

  • Lee, Sung Woo;Choi, Sokhwan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6A
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    • pp.861-872
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    • 2008
  • Concrete-filled glass fiber reinforced polymer tubes are often used for marine structures with the benefit of good durability and high resistance against corrosion under severe chemical environment. Current research presents results of a comprehensive experimental investigation on the behavior of axially loaded circular concrete-filled glass fiber reinforced polymer tubes. This paper is intended to examine several aspects related to the usage of glass fiber fabrics and filament wound layers used for outer shell of piles subjected to axial compression. The objectives of the study are as follows: (1) to evaluate the effectiveness of filament winding angle of glass fiber layers (2) to evaluate the effect of number of GFRP layers on the ultimate load and ductility of confined concrete (3) to evaluate the effect of loading condition of specimens on the effectiveness of confinement and failure characteristics as well, and (4) to propose a analytical model which describes the stress-strain behavior of the confined concrete. Three different types of glass fiber layers were chosen; fabric layer, ${\pm}45^{\circ}$ filament winding layer, and ${\pm}85^{\circ}$ filament winding layer. They were put together or used independently in the fabrication of tubes. Specimens that have various L:D ratios and different diameters have also been tested. Totally 27 GFRP tube specimens to investigate the tension capacity, and 66 concrete-filled GFRP tube specimens for compression test were prepared and tested. The behavior of the specimens in the axial and transverse directions, failure types were investigated. Analytical model and parameters were suggested to describe the stress-strain behavior of concrete under confinement.

A Classification Model for Customs Clearance Inspection Results of Imported Aquatic Products Using Machine Learning Techniques (머신러닝 기법을 활용한 수입 수산물 통관검사결과 분류 모델)

  • Ji Seong Eom;Lee Kyung Hee;Wan-Sup Cho
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.157-165
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    • 2023
  • Seafood is a major source of protein in many countries and its consumption is increasing. In Korea, consumption of seafood is increasing, but self-sufficiency rate is decreasing, and the importance of safety management is increasing as the amount of imported seafood increases. There are hundreds of species of aquatic products imported into Korea from over 110 countries, and there is a limit to relying only on the experience of inspectors for safety management of imported aquatic products. Based on the data, a model that can predict the customs inspection results of imported aquatic products is developed, and a machine learning classification model that determines the non-conformity of aquatic products when an import declaration is submitted is created. As a result of customs inspection of imported marine products, the nonconformity rate is less than 1%, which is very low imbalanced data. Therefore, a sampling method that can complement these characteristics was comparatively studied, and a preprocessing method that can interpret the classification result was applied. Among various machine learning-based classification models, Random Forest and XGBoost showed good performance. The model that predicts both compliance and non-conformance well as a result of the clearance inspection is the basic random forest model to which ADASYN and one-hot encoding are applied, and has an accuracy of 99.88%, precision of 99.87%, recall of 99.89%, and AUC of 99.88%. XGBoost is the most stable model with all indicators exceeding 90% regardless of oversampling and encoding type.

Study of sweat content analysis and latent fingerprint developing (땀의 성분 분석과 잠재지문 현출에 관한 연구)

  • Choi, Mi-Jung;Sun, Yale-Shik;Kim, Chang-Seong;Choi, Man-Sik;Sung, Nack-Do;Park, Sung-Woo
    • Analytical Science and Technology
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    • v.20 no.2
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    • pp.147-154
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    • 2007
  • Sweat contents were investigated for using those data to forensic purpose. The experiments of identifying sweat contents were as follow: 1) measurement of amino acids (aspartic acid, serine, glycine etc) by HPLC, 2) anions ($Cl^-$, $F^-$, and $SO{_4}^{2-}$) by IC and 3) trace elements (Cu, Zn, Li, B, etc.) by ICP-MS. Amino acid contents in sweat are varied with individual samples and glycine, threonine, alanine, valine and histidine are detected as the prime one. The detected anions are $Cl^-$(2167~4073 ppm) and $F^-$(454~582 ppm) mostly. Trace elements of Rb, Zn and Cu are detected and those concentrations are relatively very high. The compositions of sweat can be influenced by various factors (diet, anthropometric, characteristics, physical fitness, age, gender and the state of the health).

Analysis of Research in Earth Science at the Science Fair Using the Semantic Network Analysis: Focus on the Last 21 Years (2000-2020) (언어네트워크를 이용한 과학전람회 지구과학 부문 탐구주제 분석: 최근 21년(2000-2020년)을 중심으로)

  • Kyu-Seong Cho;Duk-Ho Chung;Dong-Gwon Jeong;Cheon-ji Kang
    • Journal of the Korean earth science society
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    • v.44 no.1
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    • pp.62-78
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    • 2023
  • The purpose of this study is to analyze the field of Earth science at a science fair. For this purpose, 566 pieces of data spanning 21 years (2000 to 2020), acquired from entries in the Earth Science section on the science fair website, were analyzed using the semantic network method. As a result, geoscience topics have been actively explored in works submitted for the Earth Science section of the science fair. Fossils from the Cretaceous period of the Mesozoic Era were particularly predominant. Together with these, keywords corresponding to astronomy, space science, and atmospheric science formed a small-scale network. Astronomy and space science mainly dealt with the dynamic characteristics of asteroids, Venus, and Jupiter. Other subjects included the solar system, sunspots, and lunar phases. Atmospheric science has focused on atmospheric physics, atmospheric observation and analysis technology, atmospheric dynamics, air quality monitoring, while marine science has been limited to physical oceanography and geologic oceanography. This study, is expected to help select Earth Science topics and conduct inquiry activities in schools.

Changes in Macrobenthic Community Depending on the Anthropogenic Impact and Biological Factors of Boryeong Tidal Flat, Korea (보령 갯벌의 인위적 영향 및 생물학적 요인에 따른 대형저서동물 군집 변화)

  • SEUNG RYUL JEON;GIHO ONG;JIHO LEE;YUNA JEONG;JUN-HO KOO;KWANG-SEOK O;JONG-WOO PARK
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.28 no.4
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    • pp.143-157
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    • 2023
  • This study confirmed the characteristics of macrobenthic community due to anthropogenic environmental changes in the Boryeong Jugyo tidal flat, where the habitat of manila clam (Ruditapes philippinarum) and mud shrimp (Upogebia major) is separated. The total number of occurring species was 55 during the study period with an average habitat density of 338 ind./m2 and a biomass of 212.2 gWWt/m2. The number of occuring species increased from 27 species at the upper flat to 37 species at the lower flat, and the dominant species differed by tide levels (Upper: Leonnates persica, Middle: Heteromastus filiformis, Lower: R. philippinarum). The macro-benthic community sturctures of the top 10 species using cluster analysis and nMDS were divided into two groups, focusing on Manila clam culture farm of lower flats and middle flats with high habitat density, reflecting the influence of specific species. The sediment composition of the U. major habitat space fluctuated highly, but it was maintained annually, and the sorting coefficient was 2.1 𝜑, and the proportion of the same particle size was increased. In particular, because the middle flat has a dense anthropogenic impact, a dominant species, H. filiformis dominated and revealed a relationship with the density of burrow holes of U. major, which is considered to be a biological interaction between these two macrofauna in this tidal flat.

Development of a Deep-Learning Model with Maritime Environment Simulation for Detection of Distress Ships from Drone Images (드론 영상 기반 조난 선박 탐지를 위한 해양 환경 시뮬레이션을 활용한 딥러닝 모델 개발)

  • Jeonghyo Oh;Juhee Lee;Euiik Jeon;Impyeong Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1451-1466
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    • 2023
  • In the context of maritime emergencies, the utilization of drones has rapidly increased, with a particular focus on their application in search and rescue operations. Deep learning models utilizing drone images for the rapid detection of distressed vessels and other maritime drift objects are gaining attention. However, effective training of such models necessitates a substantial amount of diverse training data that considers various weather conditions and vessel states. The lack of such data can lead to a degradation in the performance of trained models. This study aims to enhance the performance of deep learning models for distress ship detection by developing a maritime environment simulator to augment the dataset. The simulator allows for the configuration of various weather conditions, vessel states such as sinking or capsizing, and specifications and characteristics of drones and sensors. Training the deep learning model with the dataset generated through simulation resulted in improved detection performance, including accuracy and recall, when compared to models trained solely on actual drone image datasets. In particular, the accuracy of distress ship detection in adverse weather conditions, such as rain or fog, increased by approximately 2-5%, with a significant reduction in the rate of undetected instances. These results demonstrate the practical and effective contribution of the developed simulator in simulating diverse scenarios for model training. Furthermore, the distress ship detection deep learning model based on this approach is expected to be efficiently applied in maritime search and rescue operations.

Research on Security System for Safe Communication in Maritime Environment (해상환경에서 안전한 통신을 위한 보안체계 연구)

  • Seoung-Pyo Hong;Hoon-Jae Lee;Young-Sil Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.5
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    • pp.21-27
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    • 2023
  • As a means of helping ships navigate safely, navigational aids in operation in the maritime envirionment require periodic management, and due to the nature of the environment, it is difficult to visually check the exact state. As a result, the smart navigation aid system, which improves route safety and operational efficiency, utillizes expertise including sensors, communications, and information technology, unlike general route markings. The communication environment of the smart navigation aid system, which aims to ensure the safety of the navigators operating the ship and the safety of the ship, uses a wireless communication network in accordance with the marine environment. The ship collects the information necessary for the maritime environment on the land and operates. In this process, there is a need to consider the wireless communication security guideline. Basically, based on IHO S-100 a standard for facilitating data exchange and SECOM, which provides an interface for safe communication. This paper research a security system for safe communication in a maritime environment. The security system for the basic interface based on the document was presented, and there were some vulnerabillties to data exchange due to the wireless communication characteristics of the maritime environment, and the user authetication part was added considering the vulnerability that unauthorized users can access the service.