• Title/Summary/Keyword: 해양산업

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High-resolution range and velocity estimation method based on generalized sinusoidal frequency modulation for high-speed underwater vehicle detection (고속 수중운동체 탐지를 위한 일반화된 사인파 주파수 변조 기반 고해상도 거리 및 속도 추정 기법)

  • Jinuk Park;Geunhwan Kim;Jongwon Seok;Jungpyo Hong
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.4
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    • pp.320-328
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    • 2023
  • Underwater active target detection is vital for defense systems, requiring accurate detection and estimation of distance and velocity. Sequential transmission is necessary at each beam angle, but divided pulse length leads to range ambiguity. Multi-frequency transmission results in time-bandwidth product losses when bandwidth is divided. To overcome these problem, we propose a novel method using Generalized Sinusoidal Frequency Modulation (GSFM) for rapid target detection, enabling low-correlation pulses between subpulses without bandwidth division. The proposed method allows for rapid updates of the distance and velocity of target by employing GSFM with minimized pulse length. To evaluate our method, we simulated an underwater environment with reverberation. In the simulation, a linear frequency modulation of 0.05 s caused an average distance estimation error of 50 % and a velocity estimation error of 103 % due to limited frequency band. In contrast, GSFM accurately and quickly tracked targets with distance and velocity estimation errors of 10 % and 14 %, respectively, even with pulses of the same length. Furthermore, GSFM provided approximate azimuth information by transmitting highly orthogonal subpulses for each azimuth.

Osteological Development of the Larvae and Juvenile in Konosirus punctatus (전어(Konosirus punctatus) 자치어 발육단계에 따른 골격발달과정)

  • Ji-Hoon Seo;KwanSeok Kim;Jin Lee;Won-Jun Choi;Sang-Hun Cha;Tae-Sik Yu;Sung-Hun Lee;Kyeong-Ho Han
    • Korean Journal of Ichthyology
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    • v.35 no.2
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    • pp.83-90
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    • 2023
  • Five days after hatching in Konosirus punctatus, the larvae were 5.86~6.21 mm (mean 5.96 mm) in TL and ossified parasphenoid, prefrontal, premaxillary, dentary. Sixteen days after hatching, the larvae were 9.66~10.18 mm (mean 9.96 mm) in TL and ossified prootic, opisthotic, ectopterygoid, and epihyal. Twenty-five days after hatching, the larvae were 11.02~12.64 mm (mean 11.03 mm) in TL and ossified supraclavicle, posttemporal, four actinost. Twenty-eight days after hatching, the larvae were 11.98~12.81 mm (mean 12.34 mm) in TL and ossified frontal, pterotic, epiotic, exoccipital, basioccipital, preorbital, maxillary, hyomadibular, preopercle, opercle, hypohyal. Thirty-six days after hatching, the larvae were 15.26~16.39 mm (mean 16.11 mm) in TL and ossified scapula. 37 days after hatching, the larvae were 15.33~16.87 mm (mean 16.25 mm) in TL and ossified ethmoid, nasal, parietal, supraoccipital, and suborbital. Forty-five days after hatching, the larvae were 20.01~21.83 mm (mean 21.14 mm) in TL, and the shoulder girdle was completed by coracoid formation. Forty-eight days after hatching, the larvae were 22.46~24.03 mm (mean 23.20 mm) in TL and ossified articular and subopercle. When the juvenile reached 27.11~34.09 mm (mean 30.11 mm) in TL (53 days after hatching) completed ossification of the cranium, vertebrae, pelvic girdle, shoulder girdle, caudal bone, and pterygiophore.

Evaluation of inundation damages based on the fluctuation of inundation height due to climate change in Haeundae Area (해운대 지역의 기후변화에 의한 해일고 변동에 따른 침수피해 평가)

  • MAENG, Da-Hye;JANG, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.18 no.4
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    • pp.141-152
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    • 2011
  • The fluctuation of inundation height due to climate change and sea level rise is expected to cause the socio-economical damage in the coastal zone. To evaluate the inundation damage in Haeundae Beach Area, the inundation height was calculated using the observed data and the range of inundated area and buildings was estimated by applying to DEM data, which was constructed with airborne LiDAR data. The range of inundated area and buildings were estimated with 5 scenario of sea level rise in the condition of minimum and maximum inundation height. When the 181cm, the area of 7.19ha and 5 buildings were expected to be inundated. As 20cm in sea level rises at the minimum of the inundation height, the area of 8.90ha and 8buildings were expected to be inundated. As 30cm, 40cm, 50cm, 60cm in sea level rise, 9.98ha and 9 buildings, 11.11ha and 11buildings, 12.41ha and 11buildings, 14.18ha and 14buildings were expected to be inundated, respectively. When the 526 cm, the area of 32.35ha and 42buildings were expected to be inundated. As 20cm, 30cm, 40cm, 50cm, 60cm in sea level rise at the maximum of the inundation height, 38.94ha and 47buildings, 42.46ha and 52buildings, 45.76ha and 58buildings, 49.51ha and 66buildings, 52.53ha and 72buildings were expected to be inundated, respectively. The leisure and industry facilities, socio-economical installation, habitation are located near by the estimated inundation area, then the inundation damage is expected to be greater scale.

Forecasting the Busan Container Volume Using XGBoost Approach based on Machine Learning Model (기계 학습 모델을 통해 XGBoost 기법을 활용한 부산 컨테이너 물동량 예측)

  • Nguyen Thi Phuong Thanh;Gyu Sung Cho
    • Journal of Internet of Things and Convergence
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    • v.10 no.1
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    • pp.39-45
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    • 2024
  • Container volume is a very important factor in accurate evaluation of port performance, and accurate prediction of effective port development and operation strategies is essential. However, it is difficult to improve the accuracy of container volume prediction due to rapid changes in the marine industry. To solve this problem, it is necessary to analyze the impact on port performance using the Internet of Things (IoT) and apply it to improve the competitiveness and efficiency of Busan Port. Therefore, this study aims to develop a prediction model for predicting the future container volume of Busan Port, and through this, focuses on improving port productivity and making improved decision-making by port management agencies. In order to predict port container volume, this study introduced the Extreme Gradient Boosting (XGBoost) technique of a machine learning model. XGBoost stands out of its higher accuracy, faster learning and prediction than other algorithms, preventing overfitting, along with providing Feature Importance. Especially, XGBoost can be used directly for regression predictive modelling, which helps improve the accuracy of the volume prediction model presented in previous studies. Through this, this study can accurately and reliably predict container volume by the proposed method with a 4.3% MAPE (Mean absolute percentage error) value, highlighting its high forecasting accuracy. It is believed that the accuracy of Busan container volume can be increased through the methodology presented in this study.

An Ecosystem Model and Content Research of the Satellite Information Utilization Business (위성정보 활용 사업의 생태계 모델과 콘텐츠 연구)

  • Seungkuk Baik ;Jinhwa Roh;Hyounjoo Shim;Xuanning Zhu
    • Korean Journal of Remote Sensing
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    • v.39 no.5_4
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    • pp.1075-1084
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    • 2023
  • Satellite-derived data is collected by observing the Earth and is used in various fields such as national defense, natural disasters, location-based services, infrastructure, environment, energy, marine, and insurance. This study aims to present the virtuous cycle structure of the satellite information data industry and the business ecosystem model of the industry. As a research method, cases were collected and categorized from the following areas: literature, online, application, and content. The results show that the ecosystem model of the satellite information data industry provides an approach to content services in public and commercial areas, and develops various algorithmic technologies to facilitate content production and services at the level of complex general-purpose technologies. Second, in terms of content typology, satellite information data can be subdivided into monitoring content, urban space monitoring content, and satellite information content. Third, the consumption value of satellite content could be subdivided into informational value, environmental, social and governance (ESG) value, educational value, and content value. In order to expand the global content market, Korea will need to focus on creating an ecosystem for the satellite information industry and discovering differentiated content. It will also need to increase the popularization and accessibility of data to the general public and promote the Korean K-Satellite Information Data Industry ecosystem through government support, policy efforts, and policies such as establishing legal systems, increasing investment, and training human resources.

Generation of Time-Series Data for Multisource Satellite Imagery through Automated Satellite Image Collection (자동 위성영상 수집을 통한 다종 위성영상의 시계열 데이터 생성)

  • Yunji Nam;Sungwoo Jung;Taejung Kim;Sooahm Rhee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_4
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    • pp.1085-1095
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    • 2023
  • Time-series data generated from satellite data are crucial resources for change detection and monitoring across various fields. Existing research in time-series data generation primarily relies on single-image analysis to maintain data uniformity, with ongoing efforts to enhance spatial and temporal resolutions by utilizing diverse image sources. Despite the emphasized significance of time-series data, there is a notable absence of automated data collection and preprocessing for research purposes. In this paper, to address this limitation, we propose a system that automates the collection of satellite information in user-specified areas to generate time-series data. This research aims to collect data from various satellite sources in a specific region and convert them into time-series data, developing an automatic satellite image collection system for this purpose. By utilizing this system, users can collect and extract data for their specific regions of interest, making the data immediately usable. Experimental results have shown the feasibility of automatically acquiring freely available Landsat and Sentinel images from the web and incorporating manually inputted high-resolution satellite images. Comparisons between automatically collected and edited images based on high-resolution satellite data demonstrated minimal discrepancies, with no significant errors in the generated output.

Bearing Capacity Evaluation of Hybrid Suction Bucket Foundations on Clay Under Horizontal Loads Using a Centrifuge (원심모형실험을 활용한 점토지반에 설치된 하이브리드 석션 버켓기초의 수평방향 지지력 평가)

  • Kim, Jae-Hyun;Lee, Cheol-Ju;Shin, Hee Jeong;Kim, Seong Hwan;Goo, Jeong Min;Jung, Chung Yeol;Jeon, Young-Jin
    • Journal of the Korean Geotechnical Society
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    • v.39 no.12
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    • pp.61-73
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    • 2023
  • Suction buckets are feasible options for offshore foundations to support subsea structures in deep water, enabling suction-induced installation by pumps. Recently, hybrid suction bucket foundations that combine single or multiple suction buckets with a mat foundation have been considered. The foundations effectively increase the load capacity while reducing construction costs. However, there is still insufficient experimental validation of hybrid suction bucket foundations regarding their bearing capacity. Furthermore, research on the horizontal load capacity under low vertical and moment loads is inadequate. In this study, we investigate the feasibility of using a hybrid suction bucket foundation for subsea installations in clay. We considered two types of hybrid suction bucket foundations: a circular mat with a single suction bucket and a square mat with multiple buckets. Centrifuge tests were performed to understand the hybrid suction bucket foundation characteristics under horizontal loads and their corresponding bearing capacity. Particularly, we verified the effect of the mat foundation and bucket embedment depth on the horizontal bearing mechanism and capacities. Results confirmed that the hybrid suction bucket foundation outperforms the single suction bucket.

Ostelogical Development of Larvae and Juveniles of Bartail Flathead, Platycephalus indicus (Perciformes: Platycephalidae) in Coastal Waters off Yeosu (여수 연안에 서식하는 양태, Platycephalus indicus(농어목: 양태과) 자치어의 골격 발달)

  • Jin Lee;Chongmin Han;Ae-Ri Jung;Woo-Sung Choi;Sung-Hoon Lee;Kyeong-Ho Han
    • Korean Journal of Ichthyology
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    • v.36 no.1
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    • pp.30-39
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    • 2024
  • This study examines the osteological development of the Bartail Flathead Platycephalus indicus in the cranial, vertebral, caudal bones and pelvic, sholder grilde bones for the purpose of taxonomic studies. Adult P. indicus were collected from the Yeosu coast and artificially fertilized. Juveniles were reared at 18.5~21.8℃ (average 20.0℃±0.5℃). At 3 days after hatching (total length (TL) 3.49±0.32 mm), the parasphenoid and clavicle began to ossify. At 14 days after hatching (6.34±0.24 mm), the parietal and exoccipital bones of the cranium, the six branchiostegal rays of the hyoid, the urostyle of the caudal bones and the actinost of the shoulder girdle had ossified. At 39 days after hatching (11.39±0.86 mm), the preorbital and suborbital bones of the cranium were ossified, ossification of the pelvis girdle had begun, and the sholuder girdle was fully ossified. The number of vertebral columns were 26. At 45 days after hatching (12.63±0.62 mm), the nasal and supraorbital bones were ossified and the entire skeleton of the juvenile was completely ossified.

Monthly Fish Species Composition Caught by Fyke Net in Eastern Coast Yeosu, the South Sea of Korea (남해 여수 동부연안 각망에 어획된 어류의 종조성 및 월별 출현 양상)

  • Sang-Hun Cha;Tae-Sik Yu;Kyeong-Ho Han;Sung-Hoon Lee
    • Korean Journal of Ichthyology
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    • v.36 no.2
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    • pp.174-181
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    • 2024
  • This study examines the community characteristics of fish species collected by fyke net from the eastern coastal waters of Yeosu, Korea, during the period from 2020 to 2021. A total of 4,539 fish were sampled and classified into 43 species, 28 families, and 7 orders. The dominant species included Mugil cephalus (14.4%), Konosirus punctatus (10.9%), Lateolabrax japonicus (8.3%), Acanthopagrus schlegelii (7.9%), and Pennahia argentata (7.2%). The diversity index was highest in October (H'=2.888) and lowest in February (H'=2.075). Furthermore, the dominance index was highest in March (DI=0.524) and lowest in December (DI=0.178). Hierarchical cluster analysis (HCA) revealed that fish communities could be divided into three groups based on Bray-Curtis similarity. Group 1, consisting mainly of species collected from June to October, formed one cluster. Group 2, including winter spawning species such as Pseudopleuronectes yokohamae, Clupea pallasii, and Hexagrammos otakii, sampled from November to February, formed another cluster. Group 3, which included species such as Larimichthys polyactis, Amblychaeturichthys hexanema, and Sebastes inermis, formed a cluster collected from March to May. The eastern coast of Yeosu is considered a suitable habitat for fisheries resources, including highly economically valuable species, and it is also assumed to be an important spawning and nursery ground for many fish species.

Research on Optimized Operating Systems for Implementing High-Efficiency Small Wind Power Plants (고효율 소형 풍력 발전소 구현을 위한 최적화 운영 체계 연구)

  • Young-Bu Kim;Jun-Mo Park
    • Journal of the Institute of Convergence Signal Processing
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    • v.25 no.2
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    • pp.94-99
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    • 2024
  • Recently, wind power has been gaining attention as a highly efficient renewable energy source, leading to various technological developments worldwide. Typically, wind power is operated in the form of large wind farms with many wind turbines installed in areas rich in wind resources. However, in developing countries or regions isolated from the power grid, off-grid small wind power systems are emerging as an efficient solution. To efficiently operate and expand off-grid small-scale power systems, the development of real-time monitoring systems is required. For the efficient operation of small wind power systems, it is essential to develop real-time monitoring systems that can actively respond to excessive wind speeds and various environmental factors, as well as ensure the stable supply of produced power to small areas or facilities through an Energy Storage System (ESS). The implemented system monitors turbine RPM, power generation, brake operation, and more to create an optimal operating environment. The developed small wind power system can be utilized in remote road lighting, marine leisure facilities, mobile communication base stations, and other applications, contributing to the development of the RE100 industry ecosystem.