• Journal of the Korean Wood Science and Technology
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• v.45 no.6
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• pp.797-808
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• 2017

Automatic wood species identification systems have enabled fast and accurate identification of wood species outside of specialized laboratories with well-trained experts on wood species identification. Conventional automatic wood species identification systems consist of two major parts: a feature extractor and a classifier. Feature extractors require hand-engineering to obtain optimal features to quantify the content of an image. A Convolutional Neural Network (CNN), which is one of the Deep Learning methods, trained for wood species can extract intrinsic feature representations and classify them correctly. It usually outperforms classifiers built on top of extracted features with a hand-tuning process. We developed an automatic wood species identification system utilizing CNN models such as LeNet, MiniVGGNet, and their variants. A smartphone camera was used for obtaining macroscopic images of rough sawn surfaces from cross sections of woods. Five Korean softwood species (cedar, cypress, Korean pine, Korean red pine, and larch) were under classification by the CNN models. The highest and most stable CNN model was LeNet3 that is two additional layers added to the original LeNet architecture. The accuracy of species identification by LeNet3 architecture for the five Korean softwood species was 99.3%. The result showed the automatic wood species identification system is sufficiently fast and accurate as well as small to be deployed to a mobile device such as a smartphone.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.17-23
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• 2018

In this paper, content management system (CMS) is introduced to serve IPTV, WEB, Mobile, Smart Devices and others using a single content management system's transcoding engine to overcome the limitations of traditional content management systems. Developed CMS reduced the burden of content management by automatically recognizing one content into several content simultaneously to provide the best content to each device, thereby reducing the burden of CMS additional adoption. The focus is on utilizing automated system for studio content and automatic management of mobile filmed images, and it is planned to develop the One-Stop Service for contents by adding functions for contents production later.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.213-214
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• 2005

Uiryung Watershed area, located at the confluence of Nam River and Nagdong River has 9000 ha of agricultural land area and 3024 ha of paddy rice field have been reclaimed and managed by Korean Agricultural and Rural Infrastructure Corporation(KARICO) in the riparian area since 1954. In spite of irrigation and drainage improvement projects in last 3 decades since 1970, there are severe drought and innundation problems in the area. To improve the difficulties and efficient usage of irrigation water not only for agriculture but also for environmental conservation and cultural ceremony, Automatic Water management system has been installed supported by Ministry of Agriculture and Fishery in Korean Government. The control office in Uiryung Branch Office of KARICO, receive all the water management records from Remote Terminal Units in 7 reservoirs and 26 Pump stations to operate the decision supporting system of irrigation and drainage facility during cropping period. Since the completion of the water management system at the end of 2003, the electric cost decrease in 80 % than average years. In spite of decrease of two technical assistants since 2004, complains from farmers for the water management are very rare. The technological experience from the automatic water management system would contribute not only for the efficient water management of Uiryang area but also for the modernization of water management of other watershed areas in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2785-2791
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• 2012

In this paper, a method for automatic classification of learning objects is proposed for effective management and reuse of learning contents. Proposed method will create cohesion of learning objects using cases of learning objects and perform automatic classification of learning objects by measuring their relationship based on cohesion. Application of proposed method to learning management system has the advantage of reducing the costs for developing learning contents. Simulation has shown the average accuracy of 28.20% with probability-based method and 56.38% with cohesion-based method. Simulation has proved that the method proposed in this paper is effective in automatic classification of learning objects.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.4
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• pp.323-327
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• 2021

This paper produced SUS MASK, which is used for OLEDs, using an automatic liquid management system. The SUS MASK was tested by setting the hole diameter to 0.4 mm. The additive F300 was found to be excellent as the hole diameter was close to 0.4 mm and the error range was measured to be 0.08 on average. And as a result of measuring the weight reduction amount of CuCl2 and FeCl3 according to the change in oxidation-reduction potential (ORP), FeCl3 is relatively sensitive to ORP changes. Experiments were conducted on whether ORP (610 mV) and specific gravity (1.463) were automatically controlled while continuously etching the SUS Mask. Experimental results show that the automatic liquid management system is well controlled because the setting value is not significantly changed. After setting the hole diameter to 0.4 mm as the target, the experiment results were measured from 0.36 to 0.44. Therefore, it is expected that etching processing in the manufacturing process of SUS MASK can be improved with higher precision by applying the manufactured automatic liquid management system.

• Journal of Animal Environmental Science
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• v.8 no.2
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• pp.63-72
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• 2002

In Korea, a need of automatic dairy farm management system has been increased to lower production cost and to strengthen international competition. However, the present management system was mostly relied on foreign technologies and caused some problems in post management and after-sales services. Therefore, though there is a problem of price and quality at present, domestic technologies of the management system should be developed for the long run. This study was conducted to develop an electronic identification unit for an automatic dairy farm management system. The developed system was consisted of a tag, a reader, a switching circuit, and a personal computer. The tag attachable to each individual cow was developed to transmit individual radio frequency(RF) code into the air with modulation of ASK(amplitude shift keying). And the switching circuit was added to avoid confusion on reception and transmittance. The reader attached to a feeding device was developed to transmit activating signal periodically and to identify code of the individual tag when the tag was approached to the device. The reader was consisted of an active filter, a detecter, a comparator and a microcontroller. The test result was feasible enough to apply it for the automatic farm management system and the identified maximum distance was about 37cm.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.265-281
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• 2010

The proposed method in this study is the Maximal Concept-Strength Recognition Method(MCR). In case that we don't know which database is the most suitable for automatic-classification when new database is imported, MCR method can support to select the most similar database among many databases in the legacy system. For experiments, we constructed four heterogeneous scholarly databases and measured the best performance with MCR method. In result, we retrieved the exact database expected and the precision value of MCR based automatic-classification was close to the best performance.

• Journal of the Korea Safety Management & Science
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• v.22 no.3
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• pp.15-21
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• 2020

This study analyzed the evacuation time in indoor stadiums when exits that automatically open/close when the fire sensor is triggered are installed as a means to improve the problem of closing certain exits. Firstly, when spectators on the 2nd floor stands exit through the 1st floor exits, the RSET of all inhabitants was 529.8 seconds when the automatic opening/closing exits are broken and employees are not present. Secondly, when spectators on the 2nd floor stands exit through the 1st floor exits, the RSET of all inhabitants was 445 seconds when the automatic opening/closing exits with 750mm width are working but employees are not present. Lastly, when spectators on the 2nd floor stands exit through the 1st floor exits, the RSET of all spectators was 337 seconds when the automatic opening/closing exits with 1,500mm width are working and employees are present. As a result, it was revealed that the evacuation time is shortened when the automatic opening/closing exits are working. Additional comparative studies with actual simulations of people evacuating an indoor stadium and firefighting simulations considering smoke flow are necessary.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.59 no.2
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• pp.181-187
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• 2023

Laver aquaculture, which occupies a large proportion in the aquaculture industry in Korea, is still highly dependent on human labor. Therefore, it is necessary to study the development of an automatic system to improve the working environment and increase the efficiency of aquaculture production systems. The purpose of this study is to evaluate the economic feasibility of an improved system in a study for the loading-unloading and automatic weighing systems in laver aquaculture industry. Economic analysis of the developed unloading and automatic weighing system were implemented under various conditions to calculate more accurate benefits and costs. As a result of this study, the economic feasibility was found to be very high in the three models: net present value (NPV), benefit-cost ratio (B/C), internal rate of return (IRR). Moreover, the results of sensitivity analysis showed that the economical efficiency of the automatic loading, unloading, and weighing system in laver aquaculture was very high.

• Journal of the Korea Safety Management & Science
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• v.6 no.1
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• pp.37-47
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• 2004

The processes of manufacturing FRP sewage disposal tanks are very dangerous and hazardous jobs for workers because of large size and heavy weight of the tank, toxic fiberglass dust, nasty smell, and dangerous tools such as hand-grinders. This paper introduces an automatic manufacturing system of the FRP sewage disposal tank to enhance the safety of workers. The system consists of 3 components: the FRP body rotation jig, the automatic manhole cutting machine, the automatic sanding processing machine. The safety of workers and working environment are greatly improved, because the dangerous jobs are automatized and the toxic fiberglass dust is automatically collected. Also, the productivity is greatly improved and the cost is reduced.