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

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.4
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• pp.343-350
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• 2022

The computerization project for underground facilities in Korea began in earnest after the city gas explosion in Seoul in 1994, and the Daegu subway explosion in 1995. As such a large-scale gas explosion accident caused enormous economic loss including human casualties and potential benefits, the need for computerized for efficient management of underground facilities was greatly emphasized in society. Meantime, computerization of underground facilities has been carried out according to the basic plan for building national geographic information system. In this study, problems were identified based on the current status of construction and management of underground facility information, as well as laws and regulations, and directions for establishing quality standards were presented. In addition, construction work standards such as 「Public Survey Work Regulations」, design standards, standard specifications, and technical specifications, gas technology standards, design standards, and communication works so that underground facility information can be linked and utilized in construction work by examining the linkage of the underground facilities, the targets that can be used for quality level information on underground facilities were derived, and a proposal to revise the construction standards was presented. In the future, if the quality standards are established, it is expected that the accuracy and utilization in the construction field will be increased.

• The Korean Society of Law and Medicine
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• v.22 no.4
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• pp.185-210
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• 2021

On September 24, 2021, the new provisions(Article 38-2 of the Medical Service Act) mandatory CCTV installation in operating rooms where the unconscious patient is operating such as general anesthesia. The revised medical law aims to effectively prevent illegal activities that may occur in the operating rooms and to promote appropriate resolution to medical dispute. According to the law, medical institutions operating unconscious patients, such as general anesthesia, must install CCTVs in the operating rooms by September 25, 2023, and film surgical scenes only at the request of patients and their guardians, regardless of the consent of the medical personnel. The bill delegated the legislative device to minimize infringement of fundamental rights to subordinate statutes without stipulating it in the law.(Article 38-2(10)) The most realistic policy plan to minimize the infringement of the fundamental rights of patients is to prepare specific regulations. Therefore, this study examines the legislative background and main contents of the amended CCTV installation bill, and suggests issues to be reviewed when preparing subordinate statutes by analyzing major issues. It was reviewed based on compliance with the principle of minimizing infringement of fundamental rights of information subjects in the operating rooms. The information subjects of CCTV are health professionals and patients. Suggesting issues should be considered when preparing subordinate statutes so that the purpose of the CCTV installation law can be achieved while minimizing infringement of right of self-determination of personal information, personality rights, and human rights. It is hoped that this paper will be referred when discussing subordinate statutes and regulations to contribute minimizing infringement of fundamental rights.

• Journal of Internet Computing and Services
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• v.23 no.2
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• pp.29-35
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• 2022

UV rays have beneficial or harmful effects on the human body depending on the degree of exposure. An accurate UV information is required for proper exposure to UV rays per individual. The UV rays' information is provided by the Korea Meteorological Administration as one component of daily weather information in Korea. However, it does not provide an accurate UVI at the user's location based on the region's Ultraviolet index. Some operate measuring instrument to obtain an accurate UVI, but it would be costly and inconvenient. Studies which assumed the UVI through environmental factors such as solar radiation and amount of cloud have been introduced, but those studies also could not provide service to individual. Therefore, this paper proposes a deep learning model to calculate UVI using solar object information and sunlight characteristics to provide an accurate UVI at individual location. After selecting the factors, which were considered as highly correlated with UVI such as location and size and illuminance of sun and which were obtained through the analysis of sky images and solar characteristics data, a data set for DNN model was constructed. A DNN model that calculates the UVI was finally realized by entering the solar object information and sunlight characteristics extracted through Mask R-CNN. In consideration of the domestic UVI recommendation standards, it was possible to accurately calculate UVI within the range of MAE 0.26 compared to the standard equipment in the performance evaluation for days with UVI above and below 8.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.6
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• pp.175-181
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• 2022

The condition of infrastructure deteriorates as the service life increases. Since most infrastructure in South Korea were intensively built during the period of economic growth, the proportion of outdated infrastructure is rapidly increasing now. Aging of such infrastructure can lead to safety accidents and even human casualties. To prevent these issues in advance, periodic and accurate inspection is essential. For this reason, the need for research to detect various types of damage using computer vision and deep learning is increasingly required in the field of remotely controlled or autonomous inspection. To this end, this study proposed a neural network structure that can detect concrete damage by classifying it into three types. In particular, the proposed neural network can detect them more accurately through a hierarchical learning technique. This neural network was trained with 2,026 damage images and tested with 508 damage images. As a result, we completed an algorithm with average mean intersection over union of 67.04% and F1 score of 52.65%. It is expected that the proposed damage detection algorithm could apply to accurate facility condition diagnosis in the near future.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.7
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• pp.1169-1178
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• 2022

This study examines an effective operational plan of a maritime safety enforcement task that is distributed in the Ministry of Oceans and Fisheries and the Korea Coast Guard for maritime safety. Considering the sinking of the MV Sewol and Seohae vessels and the MV Hebei Spirit oil spill, normally marine safety accidents tend to not only damage human life, property, and marine environment but can also expand to disasters; therefore, precautionary measures are required. However, the Korean government takes superficial efforts in case of large-scale accidents. In case of the MV Sewol ferry, the government only focused on punishing the officials involved as a follow up and never mentioned any effective plan, such as "unification of maritime safety enforcement," in contrast to an advanced country. As a result, there are endless major and minor backward accidents. The probability of large-scale maritime accidents and backwardness accidents is increasing owing to vessels becoming large sized, high speed, and aged; sailors being unqualified; port traffic increase, development of marine leisure; and inefficiency dual marine safety systems. Therefore, based on the review of previous studies related to maritime safety, major advanced country's cases, and unified case of the vessel traffic service, this study suggests effective methods such as coastal vessel safety management, port state control and aid to navigation management, which are directly connected with maritime safety.

• The Korean Journal of Coaching Psychology
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• v.7 no.1
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• pp.91-116
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• 2023

This study aims to investigate the differences in burnout, emotional labor strategies, affect intensity, and emotional clarity based on combinations of level of mindfulness and compassion. To achieve this, a total of 137 mental health professionals participated in this study, and they were classified into four groups based on their level of mindfulness and compassion using cluster analysis. Then, the differences among the groups were compared. The results of the multivariate analysis of covariance(MANCOVA) or multivariate analysis of variance(MANOVA) controlling for career experience, showed that the group with high levels of both mindfulness and compassion had the highest levels of positive affect intensity, emotional clarity for self and others, and genuine expression, while having the lowest levels of negative affect intensity, surface acting, and burnout. In comparison to the group with high levels of both mindfulness and compassion, the group with high or low level of either mindfulness or compassion had both positive and negative affect intensity at higher or lower levels. Additionally, they showed lower emotional clarity for self and others, and genuine expression. Conversely, they showed higher levels of surface acting and burnout. The group with low levels of both mindfulness and compassion experienced low levels of positive affect intensity and high levels of negative affect intensity. They also had the lowest levels of emotional clarity for self and others and genuine expression. In addition, they showed that the highest levels of surface acting, and burnout. Based on the results, the study discussed the balanced development of mindfulness and compassion to prevent burnout of professionals in the human service field, including mental health professionals. The implications and limitations of this study were further analyzed in the discussion section, including the direction for future research.

• Therapeutic Science for Rehabilitation
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• v.12 no.3
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• pp.45-59
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• 2023

Objective : This study aims to identify the status of education in cognitive rehabilitation (CR) in occupational therapy departments of Korean universities/colleges and to analyze the educational needs for professional competencies. Methods : This study was conducted by distributing a questionnaire to professors. The questionnaire extracted items related to professional competencies from the results of a previous Delphi study. A total of 39 respondents from 32 (51.6%) of 62 universities/colleges were analyzed. The questionnaire analysis was conducted using Excel 2010 and SPSS 18.0 to analyze the Borich requirements and the priority of education through the Locus for focus model. Results : The priority of competency in CR was followed by "clinical reasoning ability to explain cognitive problems from the occupational performance perspective", "ability to manage insurance billing for CR", "ability to establish a CR plan based on outcome evaluation", "ability to perform occupation-oriented CR", and "ability to solve problems that occur during CR evaluation and intervention". In the Locus for focus model, items such as occupation-based cognitive assessment, intervention, and skills for documentation were high priorities for education. Conclusion : This study is expected to reflect educational competencies for CR and establish a plan for CR specialists through continuing education.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.267-286
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• 2023

The conversational agents such as AI speakers utilize voice conversation for human-computer interaction. Voice recognition errors often occur in conversational situations. Recognition errors in user utterance records can be categorized into two types. The first type is misrecognition errors, where the agent fails to recognize the user's speech entirely. The second type is misinterpretation errors, where the user's speech is recognized and services are provided, but the interpretation differs from the user's intention. Among these, misinterpretation errors require separate error detection as they are recorded as successful service interactions. In this study, various text separation methods were applied to detect misinterpretation. For each of these text separation methods, the similarity of consecutive speech pairs using word embedding and document embedding techniques, which convert words and documents into vectors. This approach goes beyond simple word-based similarity calculation to explore a new method for detecting misinterpretation errors. The research method involved utilizing real user utterance records to train and develop a detection model by applying patterns of misinterpretation error causes. The results revealed that the most significant analysis result was obtained through initial consonant extraction for detecting misinterpretation errors caused by the use of unregistered neologisms. Through comparison with other separation methods, different error types could be observed. This study has two main implications. First, for misinterpretation errors that are difficult to detect due to lack of recognition, the study proposed diverse text separation methods and found a novel method that improved performance remarkably. Second, if this is applied to conversational agents or voice recognition services requiring neologism detection, patterns of errors occurring from the voice recognition stage can be specified. The study proposed and verified that even if not categorized as errors, services can be provided according to user-desired results.

• Iberoamérica
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• v.21 no.2
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• pp.25-52
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• 2019

Esperpento denotes a literary style in Spanish literature first established by Spanish author Ramón María del Valle Inclán that uses distorted descriptions of reality in order to criticize society. And esperpento's narrative strategy is similar in many ways to Mikhail Bakhtin's carnivalism. Especially Valle Inclán's first esperpentic theatre, Luces de Bohemia contained various carnivalistic elements of Bakhtin. The various techniques of Valle Inclán's esperpento used in Luces de Bohemia can be explained by Bachchin's carnivalist techniques. Therefore, this paper aims to re-examine the esperpentic techniques in Luces de Bohemia of Valle Inclán in terms of Bakhchin's carnivalism. Because the esperpentic tecniques of this play pursue the subversion of power or authority through the carnivalistic aspects such as polyphony, subversion of seriousness, parody, grotesque realism, plaza, ambivalence, anomalous structure of space, time and plot, etc. Esperpento and carnivalism serve as a tool to interpret the social reality, beyond criticism and satire of Spanish society. The characters act passively on all the external factors that determine human destiny, rather than actively carving their own destiny like the classic heroes. Modern man cannot defy or control the external situation of the modern civilization. So they are tragic. In this situation, the protagonist of the tragedy who challenges reality disappears and a puppet figure like Max Estrella, the protagonist of the Luces de Bohemia, takes his place on a satirical level. This is the satire and the true meaning of carnivalistic humor that Valle Inclán tried in his play.