• Journal of Electrical Engineering and Technology
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• v.5 no.1
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• pp.70-78
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• 2010

Elitist nondominated sorting genetic algorithm (NSGA-II) is adopted and improved for multiobjective optimal reactive power flow (ORPF) problem. Multiobjective ORPF, formulated as a multiobjective mixed integer nonlinear optimization problem, minimizes real power loss and improves voltage profile of power grid by determining reactive power control variables. NSGA-II-based ORPF is tested on standard IEEE 30-bus test system and compared with four other state-of-the-art multiobjective evolutionary algorithms (MOEAs). Pareto front and outer solutions achieved by the five MOEAs are analyzed and compared. NSGA-II obtains the best control strategy for ORPF, but it suffers from the lower convergence speed at the early stage of the optimization. Several problem-specific local search strategies (LSSs) are incorporated into NSGA-II to promote algorithm's exploiting capability and then to speed up its convergence. This enhanced version of NSGA-II (ENSGA) is examined on IEEE 30 system. Experimental results show that the use of LSSs clearly improved the performance of NSGA-II. ENSGA shows the best search efficiency and is proved to be one of the efficient potential candidates in solving reactive power optimization in the real-time operation systems.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.5
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• pp.545-551
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• 2019

The purpose of this study was to investigate the effects of protease in kiwi fruit powder after freeze drying which has the ratio of 0%, 1%, 2%, and 3% on the tenderization of the bovine longissimus dorsi muscle. Beef loin chunks were marinated in distilled water (Control), 1% kiwi powder (K1), 2% kiwi powder (K2), and 3% kiwi powder (K3). As a result, the enzyme activities have shown to have higher activity (p<0.001) as the amount of freeze-dried kiwi powder increased. There are significant difference in pH (p<0.01), color of the beef were slightly different between the C (control) group and the sample groups. The cooking loss showed the highest value of K3 (p<0.001), and water holding capacity showed the highest value of K3. Furthermore, the sample groups exhibited lower shear force values compared with the control (p<0.001).

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.267-279
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• 2019

The study studied dermal protection and crease improvement from the sunlight of the lipid extract and narinjin. Sunlight was investigated in HR-1 (motherless mice) to identify changes in epithelial thickness and changes in collagen fibers, which account for around 90% of dermis, as the inhibitory efficacy of collagenase dissolving collagen also plays an important role in wrinkles. The experiment was validated using narinjin and jisil extract. First: The components of jisil and narinjin were analyzed. Second, antioxidant capabilities were confirmed with DPPH. Third: The inhibitory activity of collagen was measured. Studies have shown that the skin's upper skin thickness suppression of dermal extracts and narinzine has increased and that collagen thicknesses and wrinkles have decreased significantly compared to controls.

• Journal of Korea Multimedia Society
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• v.22 no.3
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• pp.335-348
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• 2019

Cell segmentation and counting represent one of the most important tasks required in order to provide an exhaustive understanding of biological images. Conventional features suffer the lack of spatial consistency by causing the joining of the cells and, thus, complicating the cell counting task. We propose, in this work, a cascade of networks that take as inputs different versions of the original image. After constructing a Gaussian pyramid representation of the microscopy data, the inputs of different size and spatial resolution are given to a cascade of deep convolutional autoencoders whose task is to reconstruct the segmentation mask. The coarse masks obtained from the different networks are summed up in order to provide the final mask. The principal and main contribution of this work is to propose a novel method for the cell counting. Unlike the majority of the methods that use the obtained segmentation mask as the prior information for counting, we propose to utilize the hidden latent representations, often called the high-level features, as the inputs of a neural network based regressor. While the segmentation part of our method performs as good as the conventional deep learning methods, the proposed cell counting approach outperforms the state-of-the-art methods.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.327-335
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• 2019

Personalized production represents the changing production and consumption in the fourth industrial revolution. Manufacturers in each field are making great efforts to introduce this concept, but it is difficult to find a flow of change such as in the craft industry, especially in the workshop system. I will try to measure the possibility of fusing personalized production in the craft workshop in accordance with the changing production and consumption. To do this, we examined the concept and examples of mass custom production, which is a similar system, and defined the customized production. Then, we recognized the production status of the modern craft workshop and consequently examined the possibility of convergence based on two basic points of productivity and communication.

• Korean Journal of Artificial Intelligence
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• v.10 no.2
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• pp.19-24
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• 2022

Metaverse refers to a world that transcends reality. Metaverse is a compound word of meta (transcendence) and universe (universe). The impact of the corona pandemic has provided an opportunity to rapidly grow the metaverse based on realistic content along with online and non-face-to-face environments. Various content and service platforms reflecting the concepts of metaverse and digital twin are rapidly spreading around the world in line with the pandemic situation. As their needs accelerate in response to the COVID-19 situation, the technology of metaverse and digital twin is attracting attention again as an indispensable condition for business, culture and art, national industry, and public services. In particular, the metaverse requires the balanced development of ecosystem components based on various advanced convergence technologies. In this paper, the concept of metaverse and digital twin, types of platforms, and development status are examined, and trends of key element technologies are investigated and analyzed. As these key element technologies, XR sensory technology, avatar technology, and other XR devices and parts were examined. Through this, we want to clearly pinpoint the direction in which the metaverse will develop through future technologies, services, and follow-up research.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.25-32
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• 2020

Currently, Korean museums use gamification in addition to various viewing methods, such as video and VR/AR. However, museums using museum gamification are still progressing to a special program level. The purpose of this paper is to make the contents of the museum easy to understand and to give the viewers fun. This paper goes beyond the existing museum gamification and proposes a museum story gamification that combines story elements with gamification. This proposal system collects information from each museum in cooperation with museums, art galleries, and exhibition halls and proceeds with related story games. Museum Story Gamification provides related stories according to the theme of the museum and allows viewers to select their own stories. Also, based on the story, you can directly select the difficulty level that suits you and play a personalized game. Unlike the general museum program, the methodology proposed in this paper allows visitors to experience the museum with various story contents. In addition, it will contribute to the development and implementation of programs with gamification in other tourism fields as well as museums.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.99-106
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• 2021

This study aims at analyzing the web sites for 2020 art college graduation exhibitions to derive implications that should be considered for future online exhibitions. Fifteen web sites for graduation exhibitions of domestic visual design majors will be selected to analyze the usability of the web sites in the stages of arrival-search-appreciation-communication. The spread of online exhibitions accelerated by the coronavirus pandemic presents issues that were not covered in offline exhibitions. Based on the commonalities and peculiarities of graduation exhibitions by college, implications for mature and rational graduation exhibitions will be suggested.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.234-240
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• 2021

As the number of pet dog-related businesses is rising rapidly, there is an increasing need for reliable pet dog health information systems for casual pet owners, especially those caring for older dogs. Our goal is to implement a mobile pre-diagnosis system that can provide a first-hand pre-diagnosis and an appropriate coping strategy when the pet owner observes abnormal symptoms. Our previous attempt, which is based on the fuzzy C-means family in inference, performs well when only relevant symptoms are provided for the query, but this assumption is not realistic. Thus, in this paper, we propose a hybrid inference structure that combines fuzzy association memory and a double-layered fuzzy C-means algorithm to infer the probable disease with robustness, even when noisy symptoms are present in the query provided by the user. In the experiment, it is verified that our proposed system is more robust when noisy (irrelevant) input symptoms are provided and the inferred results (probable diseases) are more cohesive than those generated by the single-phase fuzzy C-means inference engine.

• The Korean Journal of Food & Health Convergence
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• v.7 no.6
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• pp.17-24
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• 2021

This study investigates the exercise-physiological changes in stages through the movement of the automatic stepper and to analyze the usefulness of the automatic stepper. For 18 male university students, out of 10 levels, 5 level and 10 level of automatic stepper exercise were performed. At each 10, 20, 30 minutes during exercise, 5 and 10 minutes after exercise stop the subjects were examined to analyze the changes in energy consumption after minutes, respiratory exchange rate, heart rate, oxygen consumption per body weight, METs, cumulative energy consumption, and lactic acid to verify the usefulness of the automatic stepper. The mean and standard deviation were calculated using the SPSS, and one-way ANOVA with repeated measure was performed to verify the difference in the mean between time periods. The LSD method was used for the post-hoc test, and the significance level was set to α = .05. There were no significant changes in both 5 and 10 level, but the cumulative energy consumption over time increased significantly. In addition, as a low-intensity exercise intensity is shown, a low increase in lactic acid indicated a safe exercise level. In future studies, in-depth studies of various variables through regular exercise programs are needed for those who need safe exercise.