• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.333-339
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• 2021

The study seeks to identify the determinants of the adoption of e-commerce by small and medium-sized enterprises (SMEs) in developing countries, in our case, in Indonesia. The aim of this study is to examine the factors influencing e-commerce adoption. This study uses the method of quantitative data collection based on a questionnaire survey of SMEs in Indonesia. The research relies on Regional Project stipulations regarding Business Development in Indonesia, to capture businesses with a range of 5 to 100 employees that are classified as SMEs. This study randomly chose 100 SMEs in Indonesia from the IndoNetwork database. Partial least square (PLS) structural model data processing was used for path coefficients analysis. Structural equation modeling is applied in this study to analyze the determinant factors on the e-commerce adoption. The study findings reveal that four factors, namely, perceived benefits, compatibility, technology readiness, and government support, significantly influence the adoption of e-commerce, whereas customer/supplier pressure does not have influence. So, this study concludes that perceived benefits, compatibility, technology readiness, and government support had a significant and positive relationship with e-commerce adoption. Meanwhile, customer/supplier pressure had no effect on the e-commerce adoption of by Indonesia SMEs.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.

• Journal of the Korean Society of Safety
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• v.36 no.1
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• pp.56-63
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• 2021

The narrative texts of industrial accident reports help to identify accident risk factors. They relate the accident triggers to the sequence of events and the outcomes of an accident. Particularly, a set of related keywords in the context of the narrative can represent how the accident proceeded. Previous studies on text analytics for structuring accident reports have been limited to extracting individual keywords without context. We proposed a context-based analysis using a Natural Language Processing (NLP) algorithm to remedy this shortcoming. This study aims to apply Word2Vec of the NLP algorithm to extract adjacent keywords, known as word embedding, conducted by the neural network algorithm based on supervised learning. During processing, Word2Vec is conducted by adjacent keywords in narrative texts as inputs to achieve its supervised learning; keyword weights emerge as the vectors representing the degree of neighboring among keywords. Similar keyword weights mean that the keywords are closely arranged within sentences in the narrative text. Consequently, a set of keywords that have similar weights presents similar accidents. We extracted ten accident processes containing related keywords and used them to understand the risk factors determining how an accident proceeds. This information helps identify how a checklist for an accident report should be structured.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.61-70
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• 2021

Within the article, forms of innovation structures are systematized, and those that exist in Ukraine are identified, their features, purpose and functions are clarified, activities and current state of their functioning are analyzed. It is proved that in the conditions of digital economy, domestic innovation structures are underdeveloped and do not fulfill their leading role at the present stage of innovative development of the country. To understand the importance of effective operation of innovation infrastructure, the main world models of innovation development are considered, and the directions of using the experience of their functioning for Ukraine are determined. The main indicators of innovation activity of Ukraine in the context of regions are analyzed. There is a significant differentiation of innovation indicators in the regional context. The cartographic analysis of innovative activity of regions is presented. The mechanism of definition and implementation of priority directions of innovative activity in the context of the digital economy development is offered.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.362-368
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• 2022

The main purpose of the article is to study the key aspects of the use of modern technologies to ensure economic security in the context of achieving high efficiency of public administration.The economic security of the country is a multi-level system, the structure of which is determined by the peculiarities of the structure and key development priorities both in the regional aspect and nationally. The fundamental role of economic security is realized through a set of goals and objectives that are achieved in the process of ensuring it, among the main ones is the effective, dynamic and progressive development of the economy, which is impossible without the development of innovations. The essence of ensuring economic security from the standpoint of innovative development lies in the development of innovations that can increase the level of competitiveness of the state-level economic system, which necessitated an analysis of the conditions and dynamics of innovation development. As a result of the study, the basic aspects of the implementation of modern technologies were analyzed in the context of achieving high efficiency in public administration.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.334-340
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• 2022

The main purpose of the study is to determine the main aspects of the introduction of modern technologies in the public administration system in the context of globalization. Public administration is inherent in all known models of representation of social systems, characteristic management and other sciences of social management. This allows using the methods and technologies of management, marketing, social partnership and others in public administration and administration at a modern level. One of the main directions of public management and administration is social engineering, aimed at the development and development of the country's social system, and the tool is appropriate technologies. Based on the results of the analysis, the key modern technologies of the public administration system were identified in the context of the impact of globalization.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.107-116
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• 2022

Purpose: Researchers have shown that aesthetic judgments of artworks depend on contexts, such as the authenticity of an artwork (Newman & Bloom, 2011) and an artwork's location of display (Kirk et al., 2009; Silveira et al., 2015). The present study aims to examine whether contextual information related to the creator, such as whether an artwork was created by a human or artificial intelligence (AI), influences viewers' preference judgments of an artwork. Methods: Images of Impressionist landscape paintings were selected as human-made artworks. AI-made artwork stimuli were created using Google's Deep Dream Generator by mimicking the Impressionist style via deep learning algorithms. Participants performed a preference rating task on each of the 108 artwork stimuli accompanied by one of the two creator labels. After this task, an art experience questionnaire (AEQ) was given to participants to examine whether individual differences in art experience influence their preference judgments. Results: Setting AEQ scores as a covariate in a two-way ANCOVA analysis, the stimuli with the human-made context were preferred over the stimuli with the AI-made context. Regarding the types of stimuli, the viewers preferred AI-made stimuli to human-made stimuli. There was no interaction effect between the two factors. Conclusion: These results suggest that preferences for visual artworks are influenced by the contextual information of the creator when the individual differences in art experience are controlled.

• Journal of Koreanology Reviews
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• v.2 no.1
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• pp.17-25
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• 2023

This research aims to provide a comprehensive evaluation of the history of private education in Korea. By delving into the historical aspects of private education, this study aims to uncover key developments, trends, and transformations that have shaped the private education landscape in Korea. By understanding the historical trajectory of private education in Korea, educational practitioners can gain a deeper understanding of the challenges, opportunities, and potential areas for improvement within the private education industry. The literature analysis has shown that there are four significant historical events for developing private education industry in South Korea. First, Japanese colonial period and its Impact on private education in Korea background and context. Second, education reforms in the 1960s and the rise of hagwons in Korea background and context. Third, the role and impact of private education on the Korean education system. Fourth, Education reforms in the 21st Century and the regulation of private education background and context. In sum, this research provides a comprehensive evaluation of the history of private education in Korea, examining four key historical events and their impact on the private education landscape. The findings reveal important insights into private education's development, role, and impact in Korea.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.659-665
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• 2001

Relevance feedback is the most popular query reformulation strategy in a relevance feedback cycle, the user is presented with a list of the retrieved documents and, after examining them, marks those which are relevant. In practice, only the top 10(or 20) ranked documents need to be examined. The main idea consists of selecting important terms, or expressions, attached to the documents that have been identified as relevant by the user, and of enhancing the importance of these terms in a new query formulation. The expected effect is that the new query will be moved towards the relevant documents and away from the non-relevant ones. Local analysis techniques are interesting because they take advantage of the local context provided with the query. In this regard, they seem more appropriate than global analysis techniques. In a local strategy, the documents retrieved for a given query q are examined at query time to determine terms for query expansion. This is similar to a relevance feedback cycle but might be done without assistance from the user.

• Journal of Korean Elementary Science Education
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• v.17 no.1
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• pp.75-87
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• 1998

The problem solving processes of elementary school children who are talented in science have been seldom studied. Researchers often resort to thinking aloud method to collect data of problem solving processes. The major purpose of the study is investigating high ability elementary school students' problem solving processes through the analysis of written responses to science problems in everyday context. 67 elementary students were participated Chungcheongbuk-do Elementary Science Contest held on October, 1997. The written responses of the contest participants to science problems in everyday context were analyzed in terms of problem solving processes. The findings of the research are as follows. (1) High ability elementary students use various concepts about air and water in the process of problem solving. (2) High ability elementary students use content specific problem solving strategies. (3) The problem solving processes of the high ability elementary students consist of problem representation, problem solution, and answer stages. Problem representation stage is further divided into translation and integration phases. Problem solving stage is composed of deciding relevant knowledge, strategy, and info..ins phases. (4) High ability elementary students' problem solving processes could be categorized into 11 qualitatively different groups. (5) Students failures in problem solving are explained by many phases of problem solving processes. Deciding relevant knowledge and inferring phases play major roles in problem solving. (6) The analysis of students' written responses, although has some limitations, could provide plenty of information about high ability elementary students' problem solving precesses.