• International journal of advanced smart convergence
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• v.13 no.2
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• pp.166-171
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• 2024

Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.

• Conservation and Restoration of Cultural Heritage
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• v.1 no.1
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• pp.23-27
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• 2012

Bletilla striata is an important herb that is used as a paste for texture processing, an ingredient in incense and an additive for preserving calligraphic works and paintings. This study evaluated Bletilla striata, which has been used to preserve and manage the textiles and paper. In particular, this study examined the viscosity of a paste made from Bletilla striata, as well as the mechanical characteristics and antibiotic properties of the fabrics treated with the herb. In terms of viscosity, Bletilla striata paste was less sticky than wheat flour paste, meaning that the former can be applied more evenly to sized fabrics. In addition, Bletilla striata paste has high transparence, ensuring little color difference between the fabrics treated and not treated with the paste. Regarding the mechanical characteristics of the fabrics processed using the KES-FB System, the sized fabrics treated with Bletilla striata paste showed a higher flexibility and recovery rate and than those treated with the wheat flour paste, indicating that the former paste can be more effective in making fabrics maintain their original form and shape. Finally, silk fabrics treated with Bletilla striata showed very high antibiosis. This suggests that the paste can be used to develop antibiotic substances that can preserve textiles.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.319-329
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• 2021

The study examines the impact of bank-level factors like non-performing assets, capital adequacy, and insolvency risk on bank performance. This study employs a quantitative method with panel data regression. The data was taken from the annual financial statements of state-owned commercial banks and private commercial banks in Indonesia from 2015 to 2019 using a purposive sampling method with a total sample of 470 observations. The result of the study shows that non-performing assets (NPA) have a significant negative impact on bank performance. Capital adequacy has a significant negative impact on bank performance. Insolvency risk for a bank means it cannot repay its depositors because its liabilities are greater than its assets; therefore, it has a significant impact on bank performance. This study is expected to help banks to understand how to manage the risks they face and to maintain their performance. This study uses 'size' and 'age of bank' as control variables and for credit risk and insolvency risk, Z-Score is used.

• Journal of Daesoon Thought and the Religions of East Asia
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• v.3 no.1
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• pp.57-85
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• 2023

The politico-economic waives of Western imperialism and colonialism, along with Christianity, affected East Asia's geopolitical landscape in the nineteenth and twentieth centuries. While the Korean people (of the Joseon Dynasty) witnessed the incompetence of Buddhism, Confucianism, and folk religions in maintaining social cohesion with a sense of frustration, the new religious movements (NRMs) emerged to provide altrnative teachings of hope through historical figures like Choe Je-u, Kang Il-sun (or Kang Jeungsan), Na Cheol, and Pak Chungbin. In terms of popularity, colonial Korea (1910-1940) was impressed by the native groups of Cheondogyo (=Donghak), Bocheongyo, and Mugeukdo. Son Byong-hee (1861-1922) was the third leader of the first Korean NRM, but both Cha Gyeong-seok (1880-1936) and Jo Cheol-Je (= Jo Jeongsan) (1895-1958) participated in the post-Jeungsan grassroots movements. How, then, did both of these new religions originate? How did they conceptualise their deities and interpret their teachings differently? What was their policy for national independence? The article explores the socio-religious leaders, historical origin, organizational structure, deities, teaching and doctrines, patriotism, and conflicts of both NRMs in a comparative context. As such, this article argues that they both maintained patriotic characteristics, but that Cha's Bocheongyo community with its ' 60-executives' system (60 bang) failed to manage their internal conflicts effectively. Meanwhile, Jo Cheol-Je of Mugeukdo had the charismatic leadership needed to maintain Mugeukdo, despite being seen as a pseudoreligion under the colonial pressure of Shintoism.

• Asian Journal of Atmospheric Environment
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• v.8 no.3
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• pp.115-125
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• 2014

In this study, particle composition data for $PM_{10}$ samples were collected every 3 days at Seoul, Korea from August 2006 to November 2007, and were analyzed to provide source identification and apportionment. A total of 164 samples were collected and 21 species (15 inorganic species, 4 ionic species, OC, and EC) were analyzed by particle-induced x-ray emission, ion chromatography, and thermal optical transmittance methods. Positive matrix factorization (PMF) was used to develop source profiles and to estimate their mass contributions. The PMF modeling identified nine sources and the average mass was apportioned to secondary nitrate (9.3%), motor vehicle (16.6%), road salt (5.8%), industry (4.9%), airborne soil (17.2 %), aged sea salt (6.2%), field burning (6.0%), secondary sulfate (16.2%), and road dust (17.7%), respectively. The nonparametric regression (NPR) analysis was used to help identify local source in the vicinity of the sampling area. These results suggest the possible strategy to maintain and manage the ambient air quality of Seoul.

• Journal of the Korean Dietetic Association
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• v.23 no.2
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• pp.180-191
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• 2017

The purpose of this study was to identity the probability of cross-contamination from the environment. For this, we examined foodservices at 20 universities/colleges for microbiological analysis of their working facilities and environment as well as their preventive equipment against cross-contamination. Seventy percent of the 20 foodservices were found to maintain one unified working area, which suggests high probability of contamination of food/utensils/equipment in the cooking area by pre-preparation or dish washing. According to the microbiological analysis, the hygiene acceptance ratio of working facilities in the clean zone was 70%, which was higher than the average 45% hygiene acceptance ratio of working facilities in the contamination operating zone. There was a significant difference in the total plate count (P<0.001) and coliform count (P<0.01), which demonstrates that work tables in the clean zone were in a good state compared to those in the contamination operating zone. In the contamination operating zone, refrigerator shelves had a high probability of cross-contamination. Regarding the floor surface and airborne microbes, cooking areas which should be maintained as clean zones had higher cross-contamination probability than those in the contamination operating zone. So corrective actions such as cleaning and sanitizing, keeping dry floors, lowered temperature and humidity, shoe disinfecting facilities, and checking concentrations, are necessary to manage floor surfaces and airborne microbes in the cooking area.

• Journal of Welding and Joining
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• v.27 no.3
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• pp.67-72
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• 2009

The flux cored arc welding (FCAW) process is one of the most frequently employed and important welding process due to high productivity and excellent workability. The process is performed either as an automated process or as a semi-automatic process. In FCAW process, welding voltage has been considered as a qualitative indication of arc length. But it is necessary to let welding operators know, maintain and manage the arc length directly by estimating and displaying it. In this study, to develop arc length estimation technique, we measured a welding circuit resistance($R_sc$) and then we calculated welding circuit voltage drop($V_sc$). Also, we measured arc peak voltage($V_ap$). By subtracting $V_sc$ from $V_arc$, we can easily calculate net arc voltage drop($V_arc$). Consequently, we suggested arc length estimating equation and basic algorithm by regressive analyzing the relationship between net arc voltage drop($V_arc$) and real arc length(Larc) measured by high speed camera. Therefore, arc length can be predicted by just monitoring welding current and voltage.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2009.10a
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• pp.1-16
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• 2009

Japan is one of the major forest-rich countries in the world with two thirds of its national territory covered with forests. The various functions of forests, including the prevention of global warming, conservation of national land, recharging of water resources, and maintenance of biotic diversity, play an important role in our safe, secure, and comfortable living. With the increasing national expectations on the role of forests to contribute to the prevention of global warming and "Accelerating forest carbon-sink measures to achieve Kyoto Protocol Commitment", it is necessary to make efforts toward a large-scale forest regeneration in order to secure an absorption of 13 million carbon tons through forest carbon sink for the achievement of the target of six percent reduction under the Kyoto Protocol. Most importantly, however, is to accelerate the measures for forests as absorption sources, including thinning and other forestry management activities. However, there is a situation, among others, where thinning is not implemented properly due to the decreased willingness of forest owners to manage forests, because of the long-term low demand for domestic lumber and lumber prices. In addition, forestry workers are aging and decreasing in number. Thus, the circumstances surrounding forestry are severe. It is necessary for the protection of our precious forests to make efforts to create and maintain forests with activities that involve citizens such as the "National Movement for Utsukushii Mori Zukuri(Fostering Beautiful Forests)".

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.61-67
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• 2020

The fourth industrial revolution encourages manufacturing industry to pursue a new paradigm shift to meet customers' diverse demands by managing the production process efficiently. However, it is not easy to manage efficiently a variety of tasks of all the processes including materials management, production management, process control, sales management, and inventory management. Especially, to set up an efficient production schedule and maintain appropriate inventory is crucial for tailored response to customers' needs. This paper deals with the optimized inventory policy in a steel company that produces granule products under supply contracts of three targeted on-time delivery rates. For efficient inventory management, products are classified into three groups A, B and C, and three differentiated production cycles and safety factors are assumed for the targeted on-time delivery rates of the groups. To derive the optimized inventory policy, we experimented eight cases of combined safety stock and data analysis methods in terms of key performance metrics such as mean inventory level and sold-out rate. Through simulation experiments based on real data we find that the proposed optimized inventory policy reduces inventory level by about 9%, and increases surplus production capacity rate, which is usually used for the production of products in Group C, from 43.4% to 46.3%, compared with the existing inventory policy.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.345-353
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• 2021

Cloud computing represent a new era of computing that's forms through the combination of service-oriented architecture (SOA), Internet and grid computing with virtualization technology. Virtualization is a concept through which every cloud is enable to provide on-demand services to the users. Most IT service provider adopt cloud based services for their users to meet the high demand of computation, as it is most flexible, reliable and scalable technology. Energy based performance tradeoff become the main challenge in cloud computing, as its acceptance and popularity increases day by day. Cloud data centers required a huge amount of power supply to the virtualization of servers for maintain on- demand high computing. High power demand increase the energy cost of service providers as well as it also harm the environment through the emission of CO₂. An optimization of cloud computing based on energy-performance tradeoff is required to obtain the balance between energy saving and QoS (quality of services) policies of cloud. A study about power usage of resources in cloud data centers based on workload assign to them, says that an idle server consume near about 50% of its peak utilization power [1]. Therefore, more number of underutilized servers in any cloud data center is responsible to reduce the energy performance tradeoff. To handle this issue, a lots of research proposed as energy efficient algorithms for minimize the consumption of energy and also maintain the SLA (service level agreement) at a satisfactory level. VM (virtual machine) consolidation is one such technique that ensured about the balance of energy based SLA. In the scope of this paper, we explore reinforcement with fuzzy logic (RFL) for VM consolidation to achieve energy based SLA. In this proposed RFL based active VM consolidation, the primary objective is to manage physical server (PS) nodes in order to avoid over-utilized and under-utilized, and to optimize the placement of VMs. A dynamic threshold (based on RFL) is proposed for over-utilized PS detection. For over-utilized PS, a VM selection policy based on fuzzy logic is proposed, which selects VM for migration to maintain the balance of SLA. Additionally, it incorporate VM placement policy through categorization of non-overutilized servers as- balanced, under-utilized and critical. CloudSim toolkit is used to simulate the proposed work on real-world work load traces of CoMon Project define by PlanetLab. Simulation results shows that the proposed policies is most energy efficient compared to others in terms of reduction in both electricity usage and SLA violation.