• Title/Summary/Keyword: Real sea environment

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Comparative Analysis of CNN Deep Learning Model Performance Based on Quantification Application for High-Speed Marine Object Classification (고속 해상 객체 분류를 위한 양자화 적용 기반 CNN 딥러닝 모델 성능 비교 분석)

  • Lee, Seong-Ju;Lee, Hyo-Chan;Song, Hyun-Hak;Jeon, Ho-Seok;Im, Tae-ho
    • Journal of Internet Computing and Services
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    • v.22 no.2
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    • pp.59-68
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    • 2021
  • As artificial intelligence(AI) technologies, which have made rapid growth recently, began to be applied to the marine environment such as ships, there have been active researches on the application of CNN-based models specialized for digital videos. In E-Navigation service, which is combined with various technologies to detect floating objects of clash risk to reduce human errors and prevent fires inside ships, real-time processing is of huge importance. More functions added, however, mean a need for high-performance processes, which raises prices and poses a cost burden on shipowners. This study thus set out to propose a method capable of processing information at a high rate while maintaining the accuracy by applying Quantization techniques of a deep learning model. First, videos were pre-processed fit for the detection of floating matters in the sea to ensure the efficient transmission of video data to the deep learning entry. Secondly, the quantization technique, one of lightweight techniques for a deep learning model, was applied to reduce the usage rate of memory and increase the processing speed. Finally, the proposed deep learning model to which video pre-processing and quantization were applied was applied to various embedded boards to measure its accuracy and processing speed and test its performance. The proposed method was able to reduce the usage of memory capacity four times and improve the processing speed about four to five times while maintaining the old accuracy of recognition.

Expression Pattern of Skeletal-Muscle Protein Genes and Cloning of Parvalbumin mRNA in Dark-banded Rockfish (Sebastes inermis) (볼락(Sebastes inermis) 근육단백질 유전자의 성장단계별 발현 양상과 parvalbumin 유전자 클로닝)

  • Jang, Yo-Soon
    • Korean Journal of Ichthyology
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    • v.23 no.1
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    • pp.1-9
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    • 2011
  • Differentially Expressed Gene (DEG) was obtained from Differential Display Reverse Transcription (DDRT)-PCR using Annealing Control Primer (ACP) to search and clone genes related to developmental stages of Sebastes inermis. By using 120 ACPs, the nucleotide sequences obtained from 16 DEGs showing higher expression in 6-month-old skeletal muscle than 18-month-old ones and from 22 DEGs displaying stronger expression in 18-month-old than 6-month-old were analyzed and BLAST was conducted. The results identified that DEGs shared 69~95% homology with genes of parvalbumin (PVALB), nucleoside diphosphate kinase (NDK) B, tropomyosin (TPM), troponin I (TnI), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), muscle-type creatine kinase (CKM2), small EDRK-rich factor 2 (SERF2), adenosine monophosphate deaminase (AMPD), Trimeric intracellular cation channel type A (TRICA), Rho GTPase-activating protein 15 (ARHGAP15), S-formylglutathione hydrolase (Esterase D; ESD), heat shock protein 70 (hsp70), type 1 collagen alpha 2 (COL1A2), glutathione S-transferase, Mid1-interacting protein 1 (Mid1lip1), myosin light chain 1 (MYL1), sarcoplasmic/endoplasmic reticulum calcium ATPase 1B (SERCA1B), and ferritin heavy subunit (FTH1). Expression pattern by developmental stage of DEG14 and PVALB exhibiting strong expression in 6-month-old skeletal muscle was investigated using real time PCR. Expression was reduced as Sebastes inermis grew. Expression of PVALB gene was extremely low after 6 months of age. Expression of CKM2 showed higher expression in 18-month-old skeletal muscle than in 6-month-old muscles, and increased continuously until 4 years old, after which CKM2 expression became gradually reduced. By analysis of tissue-specific expression patterns of DEG, DEG14 was expressed mainly in skeletal muscle, liver, kidney and spleen tissues, whereas PVALB expression was expressed in skeletal muscle and kidney, but not in liver and spleen tissues. CKM2 was expressed in skeletal muscle, kidney, and spleen tissues, but not in liver tissues. PVALB gene was composed of 110 amino acids, which constituted 659 bp nucleotides. The results reported here demonstrate that the expression patterns of parvalbumin and CKM2 could be used as molecular markers for selecting fishes exhibiting fast growth.

Oil Fluorescence Spectrum Analysis for the Design of Fluorimeter (형광 광도계 설계인자 도출을 위한 기름의 형광 스펙트럼 분석)

  • Oh, Sangwoo;Seo, Dongmin;Ann, Kiyoung;Kim, Jaewoo;Lee, Moonjin;Chun, Taebyung;Seo, Sungkyu
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.18 no.4
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    • pp.304-309
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    • 2015
  • To evaluate the degree of contamination caused by oil spill accident in the sea, the in-situ sensors which are based on the scientific method are needed in the real site. The sensors which are based on the fluorescence detection theory can provide the useful data, such as the concentration of oil. However these kinds of sensors commonly are composed of the ultraviolet (UV) light source such as UV mercury lamp, the multiple excitation/emission filters and the optical sensor which is mainly photomultiplier tube (PMT) type. Therefore, the size of the total sensing platform is large not suitable to be handled in the oil spill field and also the total price of it is extremely expensive. To overcome these drawbacks, we designed the fluorimeter for the oil spill detection which has compact size and cost effectiveness. Before the detail design process, we conducted the experiments to measure the excitation and emission spectrum of oils using five different kinds of crude oils and three different kinds of processed oils. And the fluorescence spectrometer were used to analyze the excitation and emission spectrum of oil samples. We have compared the spectrum results and drawn the each common spectrum regions of excitation and emission. In the experiments, we can see that the average gap between maximum excitation and emission peak wavelengths is near 50 nm for the every case. In the experiment which were fixed by the excitation wavelength of 365 nm and 405 nm, we can find out that the intensity of emission was weaker than that of 280 nm and 325 nm. So, if the light sources having the wavelength of 365 nm or 405 nm are used in the design process of fluorimeter, the optical sensor needs to have the sensitivity which can cover the weak light intensity. Through the results which were derived by the experiment, we can define the important factors which can be useful to select the effective wavelengths of light source, photo detector and filters.

Evaluation of Antenna Pattern Measurement of HF Radar using Drone (드론을 활용한 고주파 레이다의 안테나 패턴 측정(APM) 가능성 검토)

  • Dawoon Jung;Jae Yeob Kim;Kyu-Min Song
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.35 no.6
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    • pp.109-120
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    • 2023
  • The High-Frequency Radar (HFR) is an equipment designed to measure real-time surface ocean currents in broad maritime areas.It emits radio waves at a specific frequency (HF) towards the sea surface and analyzes the backscattered waves to measure surface current vectors (Crombie, 1955; Barrick, 1972).The Seasonde HF Radar from Codar, utilized in this study, determines the speed and location of radial currents by analyzing the Bragg peak intensity of transmitted and received waves from an omnidirectional antenna and employing the Multiple Signal Classification (MUSIC) algorithm. The generated currents are initially considered ideal patterns without taking into account the characteristics of the observed electromagnetic wave propagation environment. To correct this, Antenna Pattern Measurement (APM) is performed, measuring the strength of signals at various positions received by the antenna and calculating the corrected measured vector to radial currents.The APM principle involves modifying the position and phase information of the currents based on the measured signal strength at each location. Typically, experiments are conducted by installing an antenna on a ship (Kim et al., 2022). However, using a ship introduces various environmental constraints, such as weather conditions and maritime situations. To reduce dependence on maritime conditions and enhance economic efficiency, this study explores the possibility of using unmanned aerial vehicles (drones) for APM. The research conducted APM experiments using a high-frequency radar installed at Dangsa Lighthouse in Dangsa-ri, Wando County, Jeollanam-do. The study compared and analyzed the results of APM experiments using ships and drones, utilizing the calculated radial currents and surface current fields obtained from each experiment.

Effects of climate change on biodiversity and measures for them (생물다양성에 대한 기후변화의 영향과 그 대책)

  • An, Ji Hong;Lim, Chi Hong;Jung, Song Hie;Kim, A Reum;Lee, Chang Seok
    • Journal of Wetlands Research
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    • v.18 no.4
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    • pp.474-480
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    • 2016
  • In this study, formation background of biodiversity and its changes in the process of geologic history, and effects of climate change on biodiversity and human were discussed and the alternatives to reduce the effects of climate change were suggested. Biodiversity is 'the variety of life' and refers collectively to variation at all levels of biological organization. That is, biodiversity encompasses the genes, species and ecosystems and their interactions. It provides the basis for ecosystems and the services on which all people fundamentally depend. Nevertheless, today, biodiversity is increasingly threatened, usually as the result of human activity. Diverse organisms on earth, which are estimated as 10 to 30 million species, are the result of adaptation and evolution to various environments through long history of four billion years since the birth of life. Countlessly many organisms composing biodiversity have specific characteristics, respectively and are interrelated with each other through diverse relationship. Environment of the earth, on which we live, has also created for long years through extensive relationship and interaction of those organisms. We mankind also live through interrelationship with the other organisms as an organism. The man cannot lives without the other organisms around him. Even though so, human beings accelerate mean extinction rate about 1,000 times compared with that of the past for recent several years. We have to conserve biodiversity for plentiful life of our future generation and are responsible for sustainable use of biodiversity. Korea has achieved faster economic growth than any other countries in the world. On the other hand, Korea had hold originally rich biodiversity as it is not only a peninsula country stretched lengthily from north to south but also three sides are surrounded by sea. But they disappeared increasingly in the process of fast economic growth. Korean people have created specific Korean culture by coexistence with nature through a long history of agriculture, forestry, and fishery. But in recent years, the relationship between Korean and nature became far in the processes of introduction of western culture and development of science and technology and specific natural feature born from harmonious combination between nature and culture disappears more and more. Population of Korea is expected to be reduced as contrasted with world population growing continuously. At this time, we need to restore biodiversity damaged in the processes of rapid population growth and economic development in concert with recovery of natural ecosystem due to population decrease. There were grand extinction events of five times since the birth of life on the earth. Modern extinction is very rapid and human activity is major causal factor. In these respects, it is distinguished from the past one. Climate change is real. Biodiversity is very vulnerable to climate change. If organisms did not find a survival method such as 'adaptation through evolution', 'movement to the other place where they can exist', and so on in the changed environment, they would extinct. In this respect, if climate change is continued, biodiversity should be damaged greatly. Furthermore, climate change would also influence on human life and socio-economic environment through change of biodiversity. Therefore, we need to grasp the effects that climate change influences on biodiversity more actively and further to prepare the alternatives to reduce the damage. Change of phenology, change of distribution range including vegetation shift, disharmony of interaction among organisms, reduction of reproduction and growth rates due to odd food chain, degradation of coral reef, and so on are emerged as the effects of climate change on biodiversity. Expansion of infectious disease, reduction of food production, change of cultivation range of crops, change of fishing ground and time, and so on appear as the effects on human. To solve climate change problem, first of all, we need to mitigate climate change by reducing discharge of warming gases. But even though we now stop discharge of warming gases, climate change is expected to be continued for the time being. In this respect, preparing adaptive strategy of climate change can be more realistic. Continuous monitoring to observe the effects of climate change on biodiversity and establishment of monitoring system have to be preceded over all others. Insurance of diverse ecological spaces where biodiversity can establish, assisted migration, and establishment of horizontal network from south to north and vertical one from lowland to upland ecological networks could be recommended as the alternatives to aid adaptation of biodiversity to the changing climate.