• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.201-207
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• 2020

In this study, the practicality of unmanned aerial vehicle photography information was identified. Therefore, a total of four consecutive surveys were conducted on the field-level survey areas among the areas subject to photography using unmanned aerial vehicles, and the changes in crop conditions were analyzed using pictures of unmanned aerial vehicles taken during each survey. It is appropriate to collect and utilize photographic information by directly taking pictures of the survey area according to the time of the on-site survey using unmanned aerial vehicles in the field layer, which is an area where many changes in topography, crop vegetation, and crop types are expected. And it turned out that it was appropriate to utilize satellite images in consideration of economic and efficient aspects in relatively unchanged rice paddies and facilities. If the survey area is well equipped with systems for crop cultivation, deep learning can be utilized in real time by utilizing libraries after obtaining photographic data for a certain area using unmanned aircraft in the future. Through this process, it is believed that it can be used to analyze the overall crop and shipment volume by identifying the crop status and surveying the quantity per unit area.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.15-21
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• 2020

Although IoT systems are used in a variety of heterogeneous environments as cloud environments develop, all IoT devices are not provided with reliable protocols and services. This paper proposes an IoT data management technique that can extend the IoT cloud environment to an n-layer multi-level structure so that information collected from different heterogeneous IoT devices can be efficiently sorted and processed. The proposed technique aims to classify and process IoT information by transmitting routing information and weight information through wireless data link data collected from heterogeneous IoT devices. The proposed technique not only delivers information classified from IoT devices to the corresponding routing path but also improves the efficiency of IoT data processing by assigning priority according to weight information. The IoT devices used in the proposed technique use each other's reliable protocols, and queries for other IoT devices locally through a local cloud composed of hierarchical structures have features that ensure scalability because they maintain a certain cost.y channels of IoT information in order to make the most of the multiple antenna technology.

• Journal of the Korean Society of Radiology
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• v.14 no.7
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• pp.849-856
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• 2020

In the gamma-ray energy spectrum study, nuclide analysis through energy analysis is very important. High-purity Ge detectors, which are commonly used for gamma-ray energy measurements, are commonly used because of their high energy resolution and relatively high detection efficiency. However, in order to maintain a high energy resolution, the semiconductor detector has a problem in that it is difficult to maintain the original performance if the noise generated from the surrounding environment is not effectively blocked, and the effect of the expensive device is not achieved. Therefore, in this study, ground loop isolator (NEXT-001HDGL) was used to remove the electrical noise generated from the detector. In order to test the effect of improving energy resolution, HPGe detection device newly installed in the proton accelerator KOMAC was used. In the case of gamma-ray energy 2614 keV, the energy resolution was improved from (0.16 ± 0.02) % to (0.11 ± 0.01) %, and in the case of gamma-ray energy 662 keV of 137Cs isotope, the energy resolution was improved from (0.72 ± 0.07) % to (0.27 ± 0.03) %. This result is considered to be very useful for the gamma ray spectrum study using the HPGe detection equipment of KOMAC(Korea Multi-Purpose Accelerator Complex).

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.229-235
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• 2021

Artificial intelligence technology is influencing across all areas as technology advances and social needs change. Therefore, Korean universities have actively developed and operated classes related to artificial intelligence, and have emphasized the importance of artificial intelligence not only in major education but also in liberal arts education. However, there is a lack of research on the development of educational methods and educational programs because artificial intelligence education in liberal arts is in its early stages. SSI is an education that can apply social and ethical problems related to science to open problems that can creatively and reasonably present solutions. SSI can be applied to make AI education more effective. In this study, an artificial intelligence liberal arts curriculum applied SSI was developed with three purposes: First, it is designed is designed so that students subject to education can access it by considering its characteristics as actors of the intelligent information society. Second, it is designed so that students can experience artificial intelligence programs themselves and deal with science technology and social relevance in depth, focusing on various examples of real life. Third, it is designed and approached so that students can participate and cooperate for the purpose of solving common problems to develop cooperative problem-solving skills.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.278-287
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• 2021

This study was conducted to analyze with a focus on gender whether the prevalence of hyperuricemia varies depending on sitting time and high-risk drinking by occupational group. For this study, the Korea National Health and Nutrition Examination Survey data were used, and 16,366 people were selected. The chi-square independence test and logistic regression model were used as the analysis method. The prevalence and risk of hyperuricemia by sitting time were different in the 'agricultural, forestry and fishery skilled workers' only in men. On the other hand, the prevalence with high-risk drinking, both men and women showed differences in 'managers, experts and related workers' and 'office worker'. Also, only women have differences in 'service and sales workers', 'technicians, equipment, machine operation and assembly workers' and 'unemployed'. These results inform men have a higher prevalence and risk of hyperuricemia and suggest that health care policies and medical services are needed to prevent it by occupational group.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.189-194
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• 2021

The purpose of this study was to investigate the effect of reducing noise and streaking artefacts by applying the Boost3D algorithm in the case of noise and streaking artifacts generated during computed tomography of the shoulder joint. A phantom study using a thoracic phantom including shoulder joint and clinical evaluation were conducted through shoulder joint images of 35 patients who underwent computed tomography of the shoulder joint from September 2020 to October 2020. The evaluation was divided into groups before and after the application of the Boost3D algorithm, and the noise values, signal to noise ratio, and mean to standard deviation ratio values were analyzed. Both noise values and mean to standard deviation ratio values analyzed in phantom image evaluation and clinical image evaluation were statistically significantly lower in the group after Boost3D was applied (p<0.05). Through this study, it was found that noise and streak artifacts were reduced through the application of Boost3D, and the mean to standard deviation ratio was high, which can be judged as an excellent image. If the Boost3D algorithm is used for computed tomography of the shoulder joint, it is thought that excellent images can be obtained with reduced noise and streaking artifacts that may occur in the shoulder joint area.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.183-190
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• 2020

This study evaluated the possibility of Hoangtonogak Plus extracts as a bioactive ingredients for cosmetic products. Methanol(MN) and hot-water(WN) extracts were analysed by DPPH/ABTS radical scavenging activity, FRAP value for anti-oxidant activity, MTT assay for cell viability, inhibition of NO production and iNOS protein expression for anti-inflammatory effect, paper disc diffusion method for anti-microbial activity against Staphylococcus aureus, Staphylococcus epidermidis and Escherichia coli.. The contents of total polyphenol of MN and WN extracts were 2.92±0.01 mgGAE/g and 1.67±0.02 mgGAE/g, respectively. DPPH, ABTS and FRAP values of MN extracts were higher than WN at each concentration. No significant cytotoxicity was observed in RAW264.7 cells. Furthermore, NO production of MN and WN at 1 mg/mL concentration was measured as 11.69 μM, 20.4 μM, respectively. In addition, MN extracts showed anti-microbial effect only on S. epidermidis. Also MN extracts suppressed iNOS protein level in a concentration-dependent manner. According to our results, the MN extracts demonstrated its potential as a natural source of antioxidant with anti-microbial and anti-inflammatory properties.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.303-315
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• 2022

This study compared and analyzed Japan and China, two major competitors to Korea, in the male cosmetics market, which has been shifted dramatically by the outbreak of COVID-19, with implications for the ASEAN market in mind. Questionnaire copies collected from 300 men in Generation MZ living in Korea, China, and Japan were used for analysis, and SPSS 21.0 was used to conduct a statistical analysis of the collected questionnaires. The following are this study's results: First, this study identified their purchase behaviors. The average amount of money the male respondents spent on buying cosmetics was below KRW 30,000 in Korea, China, and Japan. Functionality and texture ranked as top factors contributing to cosmetics purchases in all the three countries. Second, with regard to brands preferred by the respondents, Korea and China were open to foreign brands, while Japan mostly preferred its domestic brands. Functionality and texture ranked as top factors contributing to cosmetics purchase in all the three countries. Second, with regard to brands preferred by the respondents, Korea and China were open to foreign brands, while Japan mostly preferred its domestic brands. Third, this study found changes in the use of cosmetics since the outbreak of COVID-19. The respondents' biggest skin concern since COVID-19 was acne in Korea and Japan and increased sebum excretion in China. Concerns about sebum were commonly ranked high across the three countries. Based on these results, this study is suggested as a reference to improve the export competitiveness of Korean male cosmetics in the ASEAN market.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.111-117
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• 2021

With the rapid development of advanced science and technology including the 4th industrial revolution, the future battlefield environment is evolving at a rapid pace. In order to actively respond to issues such as reduction of military resources and shortening of service period, and to emphasize the realization of human-centered values, the Ministry of National Defense is re-establishing the role of the Army in accordance with the defense reform and is promoting the Warrior Platform, a next-generation individual combat system. In this paper, we intend to present the optimal warrior platform architecture suitable for the Korean Army by realizing the concept of future ground operations and analyzing overseas cases. We analyze the essential abilities required of individual combatants and the abilities required for each unit type, and specifically presents a plan for integration and linkage of warrior platform equipment. We also propose an efficient business promotion direction by presenting the data flow and power connection diagram between the devices that need integration and interworking.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.38-49
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• 2021

This study is single-group pretest-posttest design study to examine the effects of web-based cognitive training program using tablet on cognition and depression in the elderly with high risk of dementia or mild dementia living in a rural area, enrolled in dementia center. Intervention was provided to the 18 participants once a week for 10 weeks within 1 hour. Data was analyzed with SPSS 24.0 and interview data was categorized. The study result proves that after intervention, the participants' cognitive score increased significantly(Z=-3.35, p=.001) and the depression scores were significantly decreased(Z=-3.13, p=.002). Also, interview shows positive effect of the intervention on cognition and depression. It is necessary to improve access environment for smart devices so as not to be restricted by time and place, and to develop and apply various types of web-based programs for each cognitive level. Then, the intervention could be used as a cognitive training program incorporating information and communication technology for the prevention and management of dementia in rural areas.