• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.665-673
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• 2021

The phenomenon of sharia-based tourism development has now become a necessity for the people of Indonesia and even for the global community. Therefore, we need rules and regulations that govern it, both rules relating to normative sharia and regulations governing implementation in a positive legal manner. The purpose of this research is to describe halal tourism in Indonesia in terms of the Indonesian Council of Ulama National Sharia Board (DSN-MUI) fatwa and the government regulation. This research is a conceptual review that uses literature research methods sourced from authoritative journals, books and documents and is still relevant to the study of halal tourism. The results showed that the large number of public requests for halal tourism visits in Indonesia resulted in the need for normative and positive regulation that regulates. Finally, the MUI issued and stipulated fatwa Number: 108/DSN-MUI/IX/2016 regarding the implementation of tourism based on sharia principles and West Nusa Tenggara Regional Regulation Number. 2 of 2016 concerning Halal Tourism. Overall, the halal tourism indicator according to the DSN-MUI fatwa Number: 108/DSN-MUI/X/2016 and West Nusa Tenggara Regional Regulation Number. 2 of 2016 the content is almost the same and interrelated with one another. The only difference is in the use of the term "sharia tourism" in the DSN- MUI fatwa while the content in the regional regulation (PERDA) uses the term "halal tourism".

• International Journal of Advanced Culture Technology
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• v.9 no.2
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• pp.100-105
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• 2021

Contactless service is rapidly emerging as a new growth strategy due to consumers who are reluctant to the face-to-face situation in the global pandemic of coronavirus disease 2019 (COVID-19), and various technologies are being developed to support the fast-growing contactless service market. In particular, the restaurant industry is one of the most desperate industrial fields requiring technologies for contactless service, and the representative technical case should be a kiosk, which has the advantage of reducing labor costs for the restaurant owners and provides psychological relaxation and satisfaction to the customer. In this paper, we propose a solution to the restaurant's store operation through the unmanned kiosk using a state-of-the-art artificial intelligence (AI) technology of image recognition. Especially, for the products that do not have barcodes in bakeries, fresh foods (fruits, vegetables, etc.), and autonomous restaurants on highways, which cause increased labor costs and many hassles, our proposed system should be very useful. The proposed system recognizes products without barcodes on the ground of image-based AI algorithm technology and makes automatic payments. To test the proposed system feasibility, we established an AI vision system using a commercial camera and conducted an image recognition test by training object detection AI models using donut images. The proposed system has a self-learning system with mismatched information in operation. The self-learning AI technology allows us to upgrade the recognition performance continuously. We proposed a fully automated payment system with AI vision technology and showed system feasibility by the performance test. The system realizes contactless service for self-checkout in the restaurant business area and improves the cost-saving in managing human resources.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.301-314
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• 2021

Youth unemployment is a global social issue which leads to a waste of human resources and undermines the national economy. Job search self-efficacy (JSSE) can predict active job search and job search outcomes. The present study identified the factors affecting the JSSE of unemployed youth based on the Neuman Systems Model (NSM). The results indicated that job search period, job search stress, and problem-centred coping ability influenced young job seekers' JSSE, which increased especially with the perception of physical health. Therefore, to promote JSSE, it is necessary to not only establish social systems for the youth but also develop an intervention plan based on the NSM that optimises problem-centred coping ability, a normal line of defence in the individual's system, and maintains a healthy physical state, a line of resistance.

• ALGAE
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• v.36 no.1
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• pp.1-12
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• 2021

As the global demand for the carrageenophyte Kappaphycus is steadily increasing, its overall productivity, carrageenan quality, and disease resistance are gradually declining. In the face of this dilemma, wild Kappaphycus populations are viewed as sources of new cultivars that could potentially enhance production; therefore, assessment of their diversity is crucial. This study highlights the morphological and genetic diversity of wild Kappaphycus species obtained from two sites in the Philippines. Nucleotide alignments of available 5' region of the mitochondrial cytochrome c oxidase subunit I (COI-5P) and cox2-3 spacer sequences of Kappaphycus confirmed the presence of K. alvarezii in Guiuan, Eastern Samar and K. striatus in Bolinao, Pangasinan. Based on the concatenated sequences of the COI-5P and the cox2-3 spacer, nine novel haplotypes were observed along with other published haplotypes. However, there was no relationship between haplotype and morphology. These newly recognized haplotypes indicate a reservoir of unutilized wild genotypes in the Philippines, which could be taken advantage of in developing new cultivars with superior traits. DNA barcodes generated from this study effectively expand the existing databank of Kappaphycus sequences and can provide insights in elucidating the genetic diversity of Kappaphycus species in the country.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.3
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• pp.201-219
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• 2021

Recently, in order to understand the role of the ocean in global problems such as climate change, various researchers have made efforts to integrate and systematically manage the data collected from the world's oceans over the past half century. In Korea, public institutions, research institutes, and universities are carrying out efforts to continuously monitor changes in the marine environment in the waters surrounding Korea. The various types of marine chemical data produced in this way have been independently managed according to the purpose of each institution. Recently, efforts are being made to integrate various data led by the state. In this study, the data quality management method used to systematically manage the data of various types produced by various institutions abroad was explained. In this study, by applying this method, the format of data produced by various domestic institutions is unified, primary quality control of data according to oceanographic characteristics, secondary quality control using reliable data and comparison or standard materials, etc. It aims to provide basic information for carrying out these processes, and ultimately contribute to integrating data collected for various purposes in Korea into a data set that can be compared with each other regardless of the proficiency of producers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.541-547
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• 2022

Realistic education using virtual reality compared to traditional learning can enhance students' understanding of knowledge through immersion and interaction. In previous studies, VR education is mainly focused on experiences, and it is difficult to find its applications for environmental education. Environmental issues are a global problem, and environmental education is essential for the future. In this research, we developed an immersive virtual reality-based environmental education simulation designed to help students recognize the importance of environmental education and participate in environmental-friendly actions. This simulation is based on the virtual ecosystem model, which maintains a casual relationship among environmental factors, spatio-temporal connection, and persistent state. Users intuitively recognize environmental problems and is motivated to solve the problem while experiencing the results of interaction related to environmental factors in virtual environment.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.773-779
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• 2021

CNG, which has recently been attracting attention as an alternative fuel in the transportation field to reduce emissions caused by global warming, is natural gas with abundant reserves and mainly composed of methane. Being in a gaseous state, natural gas requires the compression and liquefaction processes for transportation. Until now, general shut-off valves for liquid and gas piping have been developed in Korea, but there are few studies on shut-off valves for high pressures of about 200 bar. Currently, research on the flow analysis of valves is being actively conducted around the world. However, there are relatively many studies on large valves such as low-pressure valves or shipbuilding and marine, and the safety factor through structural analysis to check the structural integrity of the valve is checked at the design stage. Since it is necessary to have a fast response speed while minimizing pressure and speed loss due to flow change, basic research was conducted on the flow analysis of the valve to secure design data, and the numerical analysis was performed on high-pressure automatic shut-off valves applied to CNG refueling stations. After securing the basic valve shape through reverse engineering for advanced products, we compared the valve flow coefficient Cv coefficient with advanced products. As a result, it was found that the reverse engineering model was at the level of about 60%. However, we compared the Cv coefficient by modifying the reverse engineering model, and the result showed that it was improved to about 96%.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.995-1002
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• 2022

Global Navigation Satellite System(GNSS) is a convenient system that acquires position and time information of a receiver if only satellite signals can be received anywhere in the world. However navigation signals include errors and a position error occurs according to the reception state of the signal. Also, a position error is affected by the geometric arrangement of the satellites. Therefore a receiver position performance varies by the number and status of visible satellites The condition of satellite signals is not good when the satellite rises or sets and the position change of receiver occurs when the signal is blocked by an obstacle such as a building in the urban area. In this paper, we proposed methods to improve the GNSS performance by using pseudorange correction method estimating the correction amount and the visible satellites selection method. By applying the proposed methods to an environment in which the number of visible satellites changes variously, the performance enhancement was verified.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.135-142
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• 2022

Recently, with the development of data processing technology and the increase of computational power, methods to solving social problems using Artificial Intelligence (AI) are in the spotlight, and AI technologies are replacing and supplementing existing traditional methods in various fields. Meanwhile in Korea, heavy rain is one of the representative factors of natural disasters that cause enormous economic damage and casualties every year. Accurate prediction of heavy rainfall over the Korean peninsula is very difficult due to its geographical features, located between the Eurasian continent and the Pacific Ocean at mid-latitude, and the influence of the summer monsoon. In order to deal with such problems, the Korea Meteorological Administration operates various state-of-the-art observation equipment and a newly developed global atmospheric model system. Nevertheless, for precipitation nowcasting, the use of a separate system based on the extrapolation method is required due to the intrinsic characteristics associated with the operation of numerical weather prediction models. The predictability of existing precipitation nowcasting is reliable in the early stage of forecasting but decreases sharply as forecast lead time increases. At this point, AI technologies to deal with spatio-temporal features of data are expected to greatly contribute to overcoming the limitations of existing precipitation nowcasting systems. Thus, in this project the dataset required to develop, train, and verify deep learning-based precipitation nowcasting models has been constructed in a regularized form. The dataset not only provides various variables obtained from multiple sources, but also coincides with each other in spatio-temporal specifications.

• Korean journal of aerospace and environmental medicine
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• v.30 no.3
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• pp.83-85
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• 2020

In commemoration of Vol. 30, Issue 3, our journal prepared five review articles and one original paper. The global outbreak of COVID-19 in 2020 has impacted our society, and especially the aviation and travel industries have been severely damaged. Kwon presented the aviation medical examination regulations related to COVID-19 announced by the Ministry of Land, Infrastructure, and Transport of the Republic of Korea. Lim summarized various efforts of airlines to overcome the crisis in the aviation industry. He also discussed the management of these aircraft as the number of airplanes landing for long periods increased. Finally, he suggested various quarantine guidelines at airports and onboard aircraft. COVID-19 has had a profound impact on mental health as well as physical effects. Kim investigated the impact of COVID-19 on mental health and suggested ways to manage the stress caused by it. The Internet of Things (IoT) refers to a technology in which devices communicate with each other through wired or wireless communication. Hyun explained the current state of the technology of the IoT and how it could be used, especially in the aviation field. In the area of airline service, various situations arise between passengers and crew. Therefore, role-playing is useful in performing education to prepare and respond to passengers' different needs appropriately. Ra introduced the conceptual background and general concepts of role-playing and presented the actual role-play's preparation process, implementation, evaluation, and feedback process. For a fighter to fly for a long time and perform a rapid air attack, air refueling is essential, which serves refueling from the air rather than from the aircraft base. Koo developed a questionnaire based on the HFACS (Human Factors Analysis and Classification System) model and used it to conduct a fighter pilot survey and analyze the results.