• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.626-637
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• 2021

This study was conducted to describe the image of nurses in the context of COVID-19 pandemic by reviewing newspaper articles (n=451) from 11 major domestic daily newspapers. Analysis of monthly prevalence, favorability towards nurses, proportion of nurse coverage, and thematic analysis was conducted. Five themes and 9 sub-themes were derived from thematic analysis, and major themes are as follows: "Poor work environment"; "Nursing, 'The job of calling'"; "Prominent as a medical profession"; "Strict standards"; and "Expanding the realm of nursing" in order of frequency. In conclusion, media is still reporting a limited role of nurses. Therefore, in order to widen public perspective towards nurses, further academic activities that highlight various roles and positive aspects of nursing profession are needed.

• Journal of architectural history
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• v.31 no.5
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• pp.57-64
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• 2022

Architectural Monuments have to overcome the challenge of time due to physical properties. The fundamental issue must be grounded in an understanding of history and art to overcome this challenge and make themsustainable. Many efforts to preserve the monuments through the 19^th century and at the beginning of the 20^th century to record them in scientific form were successful. To be aware of the meaning of the art and not to be 'barbare' anymore was behind the promotion of these activities. Above all, the 19th-century French architect Viollet-le-Duc contrasted the concept of barbarism with the concept of art and tried to redefine architecture as art. The ritual to escape 'barbare' played an important role in the end. This consciousness was also at work in the propaganda for the preservation of medieval architectural monuments in France, led by intellectuals such as Rodin. Also, the concept of 'barbare' served as an important yardstick whenever the cause of their loss was questioned while important monuments were destroyed in the First World War. From the viewpoint of Germany, Dehio was the pioneer of the preservation movement and documentation of monuments. The principle he advocated was preservation, not restoration. The historian Pevsner, who moved to England, also surveyed monuments in various parts of England and left them in the same format as Dehio. These facts show that architecture as art plays a fundamental role in the history of human life.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.517-532
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• 2022

Purpose: The purpose of this study is to propose useful suggestions by analyzing causal effect relationship between perceived usefulness (PU), perceived ease-of-use (PEOU), symbolic adoption (SA) which have four constructs, and ATCIS-II usage in mandatory context. Methods: Based on prior research, a research model was constructed using the variables of Technology Acceptance Model (TAM), the symbolic adoption theory, and the post-adoptive behavior variables. A structured questionnaire was conducted for those who use ATCIS-II in Republic of Korea Army (ROKA), and a total of 183 usable responses were collected and empirically analyzed using SmartPLS 3.3.9. Results: The results of this study are as follows; PEOU have a significant effect on PU and two constructs of SA (heightened enthusiasm, effort worthiness). PU have a significant effect on every construct of SA (heightened enthusiasm, mental acceptance, effort worthiness, use commitment). In addition, it was found that heightened enthusiasm have a significant effect on both expanded usage and exploratory usage. Also, mental acceptance and use commitment have a significant effect on exploratory usage. Conclusion: The findings of this empirical study have implications for proposing SA can explain mandated user's behavior and giving possible way that improve organization performance which adopt Information System (IS) by motivating end-user to extend IS's feature and explore new ways of using IS at work.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.333-338
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• 2021

Development of 5th generation mobile telecommunication technology is visualizing ideal hyper-connected social information and communication technology (ICT). In particular, virtual reality (VR) technology is at the starting point for new expansion and leaps. This work defines virtual reality as media in this context and collects and analyzes discourse on its scalability around space and communication theory. We first elaborated the concept, starting with the early discussions of the virtual reality concept in 1990, and discussed the relationship between the physical world and digital information, expression and interaction immersion as a medium, simulation, art creation theory, and finally evolutionary development. In conclusion, beyond the discourse on the technology of virtual reality, academic subjects were required to have theoretical frameworks on cognitive science, neuroscience, social science, and humanities issues (ethics, personality, etc.) for the development and evolution of virtual reality. In other words, it is time for the evolution of virtual reality to be discussed, which can be moved beyond.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.3991-4010
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• 2021

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.222-228
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• 2022

In today's era of digital technologies, the problem of religious communication in the cyberspace is being actualized, since the globality and accessibility of the WWW makes it one of the most effective and promising channels for transmitting various kinds of messages, including those of a religious nature. Today, religious organizations and movements pay the closest attention to the virtual media space, not only using it to attract new followers, but also for religious PR, image-making and branding, informing the world about themselves through news from the life of the organization and its followers. An equally important form of electronic communication in the online sphere is currently the interaction of various religious movements and religious cultures in general, or the dialogue of confessions in particular. Research in the digital space makes it possible to identify important trends in religious spheres based on the analysis of the flow of information on the Internet, to demonstrate the specifics of individual media outlets and the consequences of their activities for interreligious dialogue, to study the role of the Internet in changing religious beliefs, the possibility of changing religious identity, retrospective development of religious enlightenment at the turn of the century, to determine the vectors of possible interreligious interaction and discuss the role of digital technologies in the work of religious structures, to state the need to continue an active dialogue between representatives of religious movements, to hold expert seminars on interreligious dialogue on a regular basis, and to record the risks generated by the digital space. Thus, the coronavirus pandemic served as a background and context, a litmus test and a catalyst for accelerating and intensifying interreligious, interfaith dialogue and dialogue between religious organizations and society.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.203-209
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• 2023

The paper brings across data that is utilized in the Bring Your Own Device (BYOD) status collected between February and April of 2021 across Saudi Arabia. The data set was collected using questionnaires established through online mechanisms for the respondents. In the questionnaire, personal details included five questions while seven questions addressed the working model of personal mobile devices. Six questions addressed the awareness of employees bring your own device awareness for employees comprised seven questions and two questions addressed the benefits of business achievements. In the identification of suitable respondents for the research, two approaches were applied. The research demanded that the respondents be Saudi Arabian nationals and have attained 18 years. Snowball and purposive techniques were applied in the collection of information from a wide area of Saudi Arabia while employing social media approaches that include the use of WhatsApp and emails in the collection of data. The approach ensured the collection of data from 857 respondents used in the identification of the status as well as issues across the BYOD environment and accompanying solutions. The data was also used in the provision of awareness in the community through short-term courses, cyber security training and awareness programs. The results of the research are therefore applicable to the context of the Saudi Arabian country that is currently facing issues in dealing with the application of personal devices in the work environment.

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.8-14
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• 2023

The majority of IoT devices already employ AIoT, however there are still numerous issues that need to be resolved before AI applications can be deployed. In order to more effectively distribute IoT edge resources, this paper propose a machine learning-based approach to managing IoT edge resources. The suggested method constantly improves the allocation of IoT resources by identifying IoT edge resource trends using machine learning. IoT resources that have been optimized make use of machine learning convolution to reliably sustain IoT edge resources that are always changing. By storing each machine learning-based IoT edge resource as a hash value alongside the resource of the previous pattern, the suggested approach effectively verifies the resource as an attack pattern in a distributed AIoT context. Experimental results evaluate energy efficiency in three different test scenarios to verify the integrity of IoT Edge resources to see if they work well in complex environments with heterogeneous computational hardware.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1013-1016
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• 2005

Accounts of the development of a successful construction project often stress the importance of team relationship, project environment and senior management commitment. Numbers of studies carried out in the past decades indicate there needs to be a change of culture and attitude in the construction industry. In order for a turn around in the industry, relational contracting approaches have become more popular in recent years. However, not all relational contracting projects were successful. This paper details the fundamental principles of relational contracting. It further reports findings of a research currently taking place in Australia, how effective is relational contracting in practice. The problem addressed in this research is the implementation of relational contracting: • Throughout a range of projects • With a focus on client body staff The context within which the research was undertaken is: • Empowerment, regional development and promotion of a sustainable industry • The participating organisations have experience of partnering and alliancing • Success has been proven on large projects but performance is variable • Need has been identified to examine skill sets needed for successful partnering/alliancing The practical rationale behind this research is that: • Partnering and alliancing require a change of mind set - a culture change • The Client side must change along with contracting side • A fit is required between organisation structure and organisation culture Research Rationale: The rationale behind this project has been to conduct research within participating organisations, analyse, rationalise and generalise results and then move on to produce generic deliverables and "participating organisation specific" deliverables. This paper sets out the work so far, the links between the various elements and a plan for turning the research output into industry deliverables.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3423-3440
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• 2023

In this work, a multivariate time-series machine learning meta-model is developed to predict the transient response of a typical nuclear power plant (NPP) undergoing a steam generator tube rupture (SGTR). The model employs Recurrent Neural Networks (RNNs), including the Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid CNN-LSTM model. To address the uncertainty inherent in such predictions, a Bayesian Neural Network (BNN) was implemented. The models were trained using a database generated by the Best Estimate Plus Uncertainty (BEPU) methodology; coupling the thermal hydraulics code, RELAP5/SCDAP/MOD3.4 to the statistical tool, DAKOTA, to predict the variation in system response under various operational and phenomenological uncertainties. The RNN models successfully captures the underlying characteristics of the data with reasonable accuracy, and the BNN-LSTM approach offers an additional layer of insight into the level of uncertainty associated with the predictions. The results demonstrate that LSTM outperforms GRU, while the hybrid CNN-LSTM model is computationally the most efficient. This study aims to gain a better understanding of the capabilities and limitations of machine learning models in the context of nuclear safety. By expanding the application of ML models to more severe accident scenarios, where operators are under extreme stress and prone to errors, ML models can provide valuable support and act as expert systems to assist in decision-making while minimizing the chances of human error.