• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.322-330
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• 2021

In modern aquaculture, mass mortality is a very important issue that determines the success of aquaculture business. If a fish disease is not detected at an early stage in the farm, the disease spreads quickly because the farm is a closed environment. Therefore, early detection of diseases is crucial to prevent mass mortality of fish raised in farms. Recently deep learning-based automatic identification of fish diseases has been widely used, but there are many difficulties in identifying objects due to insufficient images of fish diseases. Therefore, this paper suggests a method to generate a large number of fish disease images by synthesizing normal images and disease images using SinGAN deep learning model in order to to solve the lack of fish disease images. We generate images from the three most frequently occurring Paralichthys Olivaceus diseases such as Scuticociliatida, Vibriosis, and Lymphocytosis and compare them with the original image. In this study, a total of 330 sheets of scutica disease, 110 sheets of vibrioemia, and 110 sheets of limphosis were made by synthesizing 10 disease patterns with 11 normal halibut images, and 1,320 images were produced by quadrupling the images.

• Journal of fish pathology
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• v.25 no.1
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• pp.59-65
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• 2012

Overinflation of cardiac stomach occurred in farmed sterlet sturgeon (Acipenser ruthenus) fingerlings. Affected fish congregated and swam upside-down near the edges of the tanks with abdominal distension. When pressed the dilated abdomen, the fish often exhibited a normal swimming pattern for some time, then resumed their characteristic upside-down swimming patterns. Internally, the fish showed abdominal dropsy and dilated stomach filled with yellowish granular contents. When the contents in the stomach, fish feed, water and excrement in the farm inoculated on Sabouraud destrose agar (SDA) at $25^{\circ}C$ for 48 hr. Candida sp. were isolated except from the feed. Candida sp. in excrement or water in the farm may enter into the stomach with feed and then produce gases in the metabolic process, which in turn may cause the stomach overinflation.

• Journal of Veterinary Clinics
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• v.26 no.2
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• pp.150-154
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• 2009

In this paper, we described a case of mass mortality of doctor fish from a private fish hatchery farm in Korea with a history of abnormal swimming behavior, diffuse bleeding on the skin and fins and sudden death caused by fish pathogenic bacteria, Citrobacter freundii. Twelve moribund fish fingerling samples were submitted to College of Veterinary Medicine, Seoul National University in October 2008 for diagnostic examination. Diagnostic results showed that the morphological and biochemical properties of the bacteria isolated from the moribund fish were C. freundii. The remaining diseased fish from the hatchery farm were given treatment based on our recommendation and successfully recovered.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.31 no.6
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• pp.908-913
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• 1998

The productivity of land based seawater fish farm has been decreased because of unexpected outbreaks of diseases caused by the contaminated inlet seawater. Sometimes unfiltered/untreated outlet seawater from the land based seawater fish farm has created serious environmental problem. In the needs of treatment systems for the inlet and outlet seawater, the researchers have developed two different systems, The purpose of this study is to design and test two treatment systems, the screen filter for inlet seawater and drum filter for outlet seawater, on the basis of concept of system design and automatization. After developing two systems, an experiment has been conducted with two systems and collected data to improve design and efficiency of the system. In this study, detailed design and efficiency of the system could be improved by the programmable logic controller (PLC).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.743-754
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• 2022

This paper contains the results of the development and performance evaluation of the environmental data monitoring system for the fish farm. For the hardware development, the analogue sensor is used to collect dissolved oxygen, pH, salinity, and temperature of the fish farm water, and the digital sensor is used for collecting ambient temperature, humidity, and location information via a GPS module to be sent to cloud-based Firebase DB. A set of LoRa transmitters and receivers is used as a communication module to upload the collected data. The data stored in Firebase is retrieved as a graph on a web and mobile application to monitor the environmental data changes in real-time. A notification will be delivered if the collected data is outside the determined optimal value. To evaluate the performance of the developed system, a response time from hardware modules to web and mobile applications is ranging from 6.2 to 6.85 seconds, which indicates satisfactory results.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.9 no.1
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• pp.30-39
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• 2004

In order to understand the environmental impact of marine cage fish farms, we measured the vertical fluxes of particulate to the sediment, the distribution of organic carbon in core samples, sediment oxygen consumption rate (SOD), and macrobenthos with increasing distance from a fish cage in Miruk island located in Tongyong. The experiment was performed in August 2003. Measured values gradually decreased with distance, indicating that the organic matter in the sediment derived from the fish farm. The dominant macrobenthos species were Tharyx mulifilis, Lumbrineris longifolia, Sigambra tentaculata, and Capitella capitata, occupying 88% of the total population. Capirella capirata, an opportunistic polychaete species, were especially abundant between 0 to 5 m radius range. The estimated impact regions of organic matter enrichment based on sediment consilmption rates and compositions of macrobenthos were in good agreement. Most organic matter derived from the fish farm was deposited within a 10 m radius and then dispersed horizontally to nearby (at least 50 m) surface sediment. The vertical organic carbon fluxes to the sediment at the fish farm were higher by a factor of two than those outside the area. The remineralization organic carbon in the upper sediment layer was estimated to be 50% (1.07 g C m$^{-2}$ day$^{-1}$ ) at the fish farm. In contrast, outside the area, 30% (0.30 g C m$^{-2}$ day$^{-1}$ ) of organic carbon was recycled and the remaining 70% was deposited to the deep sediment layer.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.3
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• pp.667-675
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• 2014

Two types of diets, extruded pellet (EP) and raw-fish-based moist pellet (MP) were fed to compare growth, water quality and histology of olive flounder, Paralichthys olivaceus in Jeju fish farm. Two groups of 7000 fish per each tank (initial mean weight 51 g) were fed one of two diets for 7 months. At the end of the feeding trial, significant differences were found in weight gain and feed utilization. Dissolved oxygen (DO) level of the MP tank was decreased from 7.98 to 6.89 after feeding. There were no significant differences in hematocrit, hemoglobin, alanine aminotransferase and aspartate aminotransferase of fish fed the two diets. Whole body protein content of fish fed the EP was significantly higher than that of fish fed the MP. While the feeding rate by month indicated numerically decreased, fish fed the MP had higher feed intake than that of fish fed the EP. Histological examination of hepatopancreas, kidney, and anterior intestine of fish fed the EP did not show any negative effects compared to those of fish fed the MP. This study revealed that EP could substitute for MP in terms of growth performance, blood parameters, water quality and histology of olive flounder.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2005.11a
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• pp.186-189
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• 2005

An embedded monitoring and control system which can be controlled and monitored with web, was implemented in this paper. The principal data which should be controlled are the present temperature and pH of a fish farm. The input signals are from temperature sensors and pH sensors. The input data are digital which are A/D converted every constant time, and the results are stored to the database. The converted data are displayed on a large electric signboard at the fish-farm. This system was designed that supervisors can control the system and watch the real situation of the fish-farm at remote places.

• The Journal of the Korea Contents Association
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• v.3 no.1
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• pp.71-79
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• 2003

Up to row, researchers have observed experiment environment to study about raising procedure and an ecology of the ocean fishes with naked eye. Then they can monitor status information in only laboratory such as temperatures, image of the fish farm, etc. Such the existing way as this can't observe an ecology of the ocean fishes with scientific and systematic method and moreover it needs many of researchers. So in this paper, we design and implement a fish farm monitoring system which receives status of remote experiment environment through the internet whenever you want it and wherever you want it, and monitors and analyzes its status using embedded system of which the operating system is linux.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.959-966
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• 2020

With the growing importance of the fishery industry and the rapid growth of the aquaculture industry, research on smart farms through ICT convergence in the aquaculture field is in progress. To enable monitoring of the growing environment at the farm site, an underwater drone drive unit, an image collection device, an integrated controller for posture stabilization, and a remote control device capable of controlling and controlling drones through real-time underwater images were proposed, and design, development, and tests were conducted. By utilizing underwater drones, it is possible to replace the supply and demand of manpower and high-cost work in the aquaculture industry, and to manage fish farms in a stable manner by reducing the probability of farming deaths.