• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.9 no.4
• /
• pp.325-336
• /
• 2019

There are many bamboo weir (Juk-Bang-Ryeum) with the highest preservation value as a fisheries heritage from Sacheon to Namhae area in the Korea Hanrye National Marine Park. It was designated as a Korea National Cultural Property Sightseeing No. 71, and also as an important fishery asset listed in the Korea National Important Fisheries Heritage No. 3. It is an important cultural heritage that should be preserved for the future as a community asset to the local residents, and should be preserved as it's original form because of unique traditional fishery style in the world as well as natural environment oriented fishing system. The purpose of this study is to review the value of Juk-Bang-Ryeum in the South Sea as well as to preserve the tradition of it. This paper will make a contribution to the registration of it on the list of World Important Agricultural and Fishery Heritage (GIAHS), which is recognized by the United Nations Food and Agriculture Organization (FAO). To make basic data for listing on it, we will analyze the characteristics and structure of Juk-Bang-Ryeum, and also research the value of it from the historical literature review as well state of arts. We also develop a scheme for listing on FAO GIAHS through checking necessary items step by step. Finally, we suggest some idea to preserve it more effectively.

• The Journal of Bigdata
• /
• v.5 no.2
• /
• pp.121-133
• /
• 2020

This study was carried out to set the direction of the new industry policy of Busan city by analyzing the changing trend of artificial intelligence technology that has recently developed rapidly and predicting the direction of future development. The company wanted to draw up support measures to utilize artificial intelligence technology, which has been rapidly emerging in the market, in the region's specialized industry. Artificial intelligence is a key keyword in the fourth industrial revolution and artificial intelligence-based data utilization technology can be used in various fields from manufacturing processes to services, and is entering an era of super-fusion in which barriers between technologies and industries will be broken down. In this study, the direction of promotion for fostering Busan as an artificial intelligence city was derived based on the comparison and analysis of artificial intelligence-related ecosystems among major local governments. In this study, we wanted to present a plan to create an artificial intelligence industrial ecosystem that can be called a key policy to foster Busan as an 'AI City'. Busan's plan to foster the AI industry ecosystem is aimed at establishing a policy direction to ultimately nurture the artificial intelligence industry as Busan's future food source.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.23 no.1
• /
• pp.82-88
• /
• 2021

Sun-induced fluorescence (SIF) retrieval using remote sensing technique has been used in an effort to understand the photosynthetic efficiency and stress condition of vegetation. Although optical devices and SIF retrieval methodologies were established in order to retrieve SIF, the SIF measurements are domestically sparse. SIF data of paddy rice w as measured in Naju, South Korea from June 10, 2020 to October 5, 2020. The SIFs based red (O2A) and far-red (O2B) w ere retrieved using a spectral fitting method and an improved Fraunhofer line depth, and photosynthetically active radiation was also produced. In addition, the SIF data was filtered considering solar zenith angle, saturation conditions, the rapid and sudden change of solar irradiance, and sun glint. The provided SIF data can help to understand a SIF product and the filtering method of SIF data can contribute to producing high-quality SIF data.

• Journal of the Korea Society for Simulation
• /
• v.31 no.1
• /
• pp.29-41
• /
• 2022

As one of the alternatives to solve the problem of unstable food supply and demand imbalance caused by abnormal climate change, the need for plant factories is increasing. Airflow in plant factory is recognized as one of important factor of plant which influence transpiration and heat transfer. On the other hand, Digital Twin (DT) is getting attention as a means of providing various services that are impossible only with the real system by replicating the real system in the virtual world. This study aimed to develop a digital twin model for airflow prediction that can predict airflow in various situations by applying the concept of digital twin to a plant factory in operation. To this end, first, the mathematical formalism of the digital twin model for airflow analysis in plant factories is presented, and based on this, the information necessary for airflow prediction modeling of a plant factory in operation is specified. Then, the shape of the plant factory is implemented in CAD and the DT model is developed by combining the computational fluid dynamics (CFD) components for airflow behavior analysis. Finally, the DT model for high-accuracy airflow prediction is completed through the validation of the model and the machine learning-based calibration process by comparing the simulation analysis result of the DT model with the actual airflow value collected from the plant factory.

• The Korean Journal of Franchise Management
• /
• v.13 no.2
• /
• pp.17-31
• /
• 2022

Purpose: With the development of the Internet, consumers can quickly access the electronic word-of-mouth. Consumers seek to reduce uncertainty by referring to the opinions of other consumers about products and services when making purchase decisions. In the food service industry, evaluating a restaurant before an actual visitation is difficult. Therefore, electronic word-of-mouth is important to interact with the customer in restaurants. as it can be used as an exchange of information in which consumers participate and interact with other customers. This study was conducted to verify how online word-of-mouth characteristics (Consensus, Vividness, Neutrality) on attitudes and visit intention from the perspective of social exchange theory. And it was performed to verify the structural relationship between short-term visit intention, mid-term visit and long-term visit intention. Research design, data, and methodology: A survey was conducted on customers who have visited restaurants. Of a total of 312 responses, 306 responses were used, excluding insincere responses and missing values for factors analysis. SPSS 25.0 and AMOS 25.0 were used for statistical analysis, and hypothesis testing was conducted after verifying the validity and reliability of the questionnaire items. Result: The result of the analysis showed that, consensus and neutrality have a positive effect on attitude but not much on vividness. In addition, consensus, vividness, and neutrality have no effect on the short-term visit intention. Finally, the short-term visit intention has a positive effect on mid-term visit intention, and mid-term visit intention has a positive effect on long-term visit intention. Conclusions: Based on the results, this study suggested that it is necessary to have practical implications for marketing and monitoring restaurant reviews in consideration of the characteristics of electronic word-of-mouth. When managing electronic-word-of-mouth, it is necessary to manage the consensus and neutrality is essential to provide sufficient information about the restaurant. The focus should not only be on vividness, such as photos and videos. In addition, restaurants should also provide a good experience for first-time visitors as the short-term visit intention positively affects mid-term and long-term visit intention.

• The Korean Journal of Franchise Management
• /
• v.13 no.3
• /
• pp.1-15
• /
• 2022

Purpose: In the restaurant sector, it has been known that consumers' positive perception of brands influences their positive WOM intention, and information sources play an important role in increasing credibility by enhancing consumer awareness and developing differentiated brands. This study examines the effects of information sources (e.g., advertisement, WOM, SNS) on trust (cognitive and affective) and, WOM and eWOM intention in the restaurant context. In the model, cognitive and affective trust play mediating roles in the relationships between information sources (e.g., advertisement, WOM, SNS) WOM and eWOM intention. Research design, data, and methodology: Research models and hypotheses were developed according to the research direction. The survey questionnaire items were developed and used appropriately according to the contents of this paper based on prior studies. All constructs were measured with multiple items developed and validated in prior studies. A total of 502 responses were collected from an online survey. The research model was evaluated using SmartPLS 4.0. Frequency analysis was performed to understand the demographic characteristics of the survey respondents. The reliability, convergent validity, and discriminant validity were assessed using measurement model analysis. The proposed model was verified using the structural equation model. Results: Advertisement, WOM, and SNS information sources all had a positive effect on affective trust, whereas only WOM had a significant effect on cognitive trust. In addition, affective trust had a positive effect on cognitive trust and eWOM intention but did not affect WOM intention. Finally, cognitive trust was found to have a positive effect on both WOM intention and eWOM intention. Conclusions: This study redefines the concept of where restaurant service companies should focus when providing consumers with information about their products and services. As a result, the conceptual framework of positive word of mouth intention to increase new customer visits to the restaurant brand has been expanded. In addition, this study not only presents an information source management strategy for restaurant brands, but also presents practical implications for resource allocation guidelines for customer management in the restaurant sector.

• Journal of Practical Agriculture & Fisheries Research
• /
• v.13 no.1
• /
• pp.173-183
• /
• 2011

Gabensis village is one of the biggest village In the Wampar Local Level Government area within the Huon Gulf District of Morobe Province with a population of around 3,000. The major staple food is banana which is well complemented by minor staples yam, cassava, Singapore/Chinese taro and sweet potato. Apart from gardening for own consumption, the villagers engage in selling of vegetables, garden staples, cocoa beans, coconuts, timber, chicken, fish and pig meat to supplement their livelihood. Livestock like pigs and chickens are also kept for meat and for commercial purpose. Bettlenut which was once one of the main cash crops has now been overtaken by cocoa due to a disease that had attacked almost the entire bettlenut tree population in the area. Even though the Wau-Bulolo highway cuts through the village and all have access to transport infrastructure, the majority of the population still encounter problems in communication due to poor telecommunication coverage. On average most people earn not more than K50 per week due to constrains in production and marketing among others. Gabensis village has the potential to develop a tourism industry given its natural attraction of Lake Wanam. Beside there is also the natural eel farming and the fish pond at the nearby Potsie village. These natural attractions pose huge tourism potential for the community. As part of government services delivery and development, education and health issues is very much important in the community however there is lack of infrastructural development and poor service delivery especially in the area of health. However, the responsibility is on the community to organize themselves to realize that potential. A well developed agro-ecotourism investments would have positive spillover effects to the community thus contributing towards improving the livelihoods of the many farming families.

• The Korean Journal of Franchise Management
• /
• v.9 no.3
• /
• pp.7-18
• /
• 2018

Purpose - Consumers have a variety of strategies to find information about restaurants they want to visit. Consumers can search for and use information from a variety of sources before purchasing a product or service. The development of the Internet has made that consumers could access various informations easily. Therefore, this study classified commercial information provided by restaurants, public information shared by other unknown consumers, and personal information shared by customers' personal experiences or friends/family. This study is information sources influence on enjoyment, attitude and visit intention. Research design, data, methodology - In order to verify the research hypothesis, this study created questionnaires for each variable. Hypothesis analysis data were collected through surveys. In order to develop research hypotheses for this study, the scales was developed. The survey was conducted by an online survey company. Among the online panels owned by survey company, those who have visited restaurants through at least one of the 11 sources provided in this study within the last 3 months were surveyed. The survey period was 10 days from March 5 to 14, 2017. A total of 1,500 e-mails and messages were sent back to 301 of them, and 288 were used for analysis except for 13 missing responses. The data was analyzed by using SPSS 21.0 and AMOS 21.0. Results - As a result of analysis, commercial and personal information have a positive effect on enjoyment, but general information did not affect enjoyment. In addition, personal information has a positive effect on attitude, but commercial information and general information did not affect attitude. It was found that commercial information influenced attitude by mediation of pleasure, and pleasure had no significant effect on visit intention. Finally, attitude has a significant effect on visit intention. Conclusions - The restaurant needs to provide accurate information through its homepage or brochure. Accurate information that is not exaggerated can save customers's the cost of believing on a restaurant and the cost of searching for other information. The restaurant which provides unfaithful advertisement would be excluded from customer's choice because customers perceive it as a unreliable restaurant. The marketing of restaurant should be carried out through customer-oriented for the visit of customers. And restaurants need to provide optimized services to their first-time customers in order to increase their revisit.

• The Journal of Bigdata
• /
• v.6 no.2
• /
• pp.151-159
• /
• 2021

Construction of a blockchain network needs a cumbersome and time consuming activity. To overcome these limitations, global IT companies such as Microsoft are providing cloud-based blockchain services. In this paper, we propose a blockchain-based construction and management tool that enables blockchain developers, blockchain operators, and enterprises to deploy blockchain more comfortably in their infrastructure. This tool is implemented using Hyperledger Fabric, one of the famous private blockchain platforms, and Ansible, an open-source IT automation engine that supports network-wide deployment. Instead of complex and repetitive text commands, the tool provides a user-friendly web dashboard interface that allows users to seamlessly set up, deploy and interact with a blockchain network. With this proposed solution, blockchain developers, operators, and blockchain researchers can more easily build blockchain infrastructure, saving time and cost. To verify the usefulness and convenience of the proposed tool, a blockchain network that conducts electronic voting was built and tested. The construction of a blockchain network, which consists of writing more than 10 setting files and executing commands over hundreds of lines, can be replaced with simple input and click operations in the graphical user interface, saving user convenience and time. The proposed blockchain tool will be used to build trust data infrastructure in various fields such as food safety supply chain construction in the future.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.9 no.6
• /
• pp.443-450
• /
• 2019

Vicia amoena has traditionally been used to treat disease of rheumatism, arthralgia, muscular paralysis, abscess and eczema, and it has anti-inflammatory properties. However, validity of the anti-inflammatory activity has not been scientifically in vestige acted so far. Therefore, the aim of this study was to investigate the anti-inflammatory potential of V. amoena using the ethanolic extract. To evaluate the anti-inflammatory effects, we examined the inflammatory mediators such as nitric oxide (NO) and prostaglandin E₂ (PGE₂) on RAW264.7 cells. Our results indicated that ethanolic extract of V. amoena significantly inhibited the LPS-induced NO and PGE₂ production in RAW264.7 cells. The ethanolic extract of V. amoena has inhibited the PGE₂ production by 88.0±0.8 % at the concentration of 40㎍/ml. This results showed that ethanol extract of V. amoena is expected to be a good candidate for development into source of inflammation inhibitor