• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.9
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• pp.1399-1405
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• 2013

This study selected 31 old women over 65 years old residing in G county, Jeonnam and applied the aqua exercise program to them for 1 hour a session, once a week for 1 year from Feb. 1, 2011 to Jan. 31, 2012 in order to examine the effects of the program on body composition, exercise function, quality of life and self-esteem in the elderly. As a result of measuring health related factors before and after applying the exercise program, it was found that long-term aqua exercise program had statistically significant change and increase in body composition (weight, body fat mass and percent body fat), exercise function (flexibility, balance, TUG, back muscle strength), quality of life and self-esteem. Therefore, it is considered that continuous aqua exercise program is needed to improve body composition, exercise function, quality of life and self-esteem of the old women in rural areas.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.27-33
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• 2023

Demands for eco-friendly food materials are increasing rapidly because of increased interest in well-being and health care, deterioration of air quality due to fine dust, and various soil and water pollution. Aquaponics is a system that can solve various problems such as economic activities, environmental problems, and safe food provision of the elderly population. However, techniques for deriving the optimal growth environment should be preceded. In this paper, we intend to design an intelligent plant growth measurement system that considers the characteristics of existing aquaponics. In particular, we would like to propose a module configuration plan for learning data and judgment systems when providing a uniform growth environment, focusing on designing systems suitable for production sites that do not have high-performance processing resources among intelligent aquaponics production management modules. It is believed that the proposed system can effectively perform deep learning with small analysis resources.

• 사료
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• s.50
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• pp.61-65
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• 2011

• 주택과사람들
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• no.6 s.217
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• pp.114-115
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• 2008

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.357-359
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• 2022

The market for eco-friendly food materials by online distribution is rapidly growing due to major environmental pollution such as air, soil, and water quality, and radical changes in living patterns caused by COVID-19. In addition, because of the aging population and the decrease in agricultural-related population due to social structural changes, aquaponics is emerging as a system that can solve problems such as independence of old economic activities, environmental protection, and securing healthy and safe food. This paper aims to design an intelligent plant growth measurement system among intelligent aquaponics production management modules for optimal growth environment derivation and quantitative production prediction by converging various ICT technologies into existing aquaponics systems. In particular, the focus is on designing systems suitable for production sites that do not have high-performance processing resources, and we propose a module configuration plan for production environments and training data and prediction systems.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.528-532
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• 2006

In a cyber aquarium, the behavior of fish objects is the most important factor in respect of visual effects. In this paper, we analyze the principal habits of fish objects such as the vitality, the range of movement, the maximum depth of water they can live, and the cycle of eating. Then, we suggest a method for simulating the stable marine ecosystem with controlling the behaviors, the interaction with other species, the average span of life, and all that sort of thing based on the result of analysis. Because we can freely modify the behavior of fish object by altering the values of attributes, it can be utilized in the dynamic cyber aquarium, the 3D aquarium screen saver, and the cyber fish game, and so on.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.861-866
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• 2023

Unlike conventional smart farms that require chemical fertilizers and large spaces, aquaponics farming, which utilizes the symbiotic relationship between aquatic organisms and crops to grow crops even in abnormal environments such as environmental pollution and climate change, is being actively researched. Different crops require different environments and nutrients for growth, so it is necessary to configure the ratio of aquatic organisms optimized for crop growth. This study proposes a method to measure the degree of growth based on area and volume using image processing techniques in an aquaponics environment. Tilapia, carp, catfish, and lettuce crops, which are aquatic organisms that produce organic matter through excrement, were tested in an aquaponics environment. Through 2D and 3D image analysis of lettuce and real-time data analysis, the growth degree was evaluated using the area and volume information of lettuce. The results of the experiment proved that it is possible to manage cultivation by utilizing the area and volume information of lettuce. It is expected that it will be possible to provide production prediction services to farmers by utilizing aquatic life and growth information. It will also be a starting point for solving problems in the changing agricultural environment.

• 치위협보
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• s.63
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• pp.1-8
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• 2002

• Magazine of korean Tunnelling and Underground Space Association
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• v.5 no.1
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• pp.47-64
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• 2003

• The Monthly Technology and Standards
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• s.41
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• pp.66-68
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• 2005