• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.49-62
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• 2023

There has been a rapid increase in the creation and alteration of new malware samples which is a huge financial risk for many organizations. There is a huge demand for improvement in classification and detection mechanisms available today, as some of the old strategies like classification using mac learning algorithms were proved to be useful but cannot perform well in the scalable auto feature extraction scenario. To overcome this there must be a mechanism to automatically analyze malware based on the automatic feature extraction process. For this purpose, the dynamic analysis of real malware executable files has been done to extract useful features like API call sequence and opcode sequence. The use of different hashing techniques has been analyzed to further generate images and convert them into image representable form which will allow us to use more advanced classification approaches to classify huge amounts of images using deep learning approaches. The use of deep learning algorithms like convolutional neural networks enables the classification of malware by converting it into images. These images when fed into the CNN after being converted into the grayscale image will perform comparatively well in case of dynamic changes in malware code as image samples will be changed by few pixels when classified based on a greyscale image. In this work, we used VGG-16 architecture of CNN for experimentation.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.146-158
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• 2023

Smart City is gaining attention with the advancement of Information and Communication Technology (ICT). ICT provides the basis for smart city foundation; enables us to interconnect all the actors of a smart city by supporting the provision of seamless ubiquitous services and Internet of Things. On the other hand, Crowdsourcing has the ability to enable citizens to participate in social and economic development of the city and share their contribution and knowledge while increasing their socio-economic welfare. This paper proposed a hybrid model which is a compound of human computation, machine computation and citizen crowds. This proposed hybrid model uses knowledge-based crowdsourcing that captures collaborative and collective intelligence from the citizen crowds to form democratic knowledge space, which provision solutions in areas of civic innovations. This paper also proposed knowledge-based crowdsourcing framework which manages knowledge activities in the form of human computation tasks and eliminates the complexity of human computation task creation, execution, refinement, quality control and manage knowledge space. The knowledge activities in the form of human computation tasks provide support to existing crowdsourcing system to align their task execution order optimally.

• Journal of Korean Clinical Nursing Research
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• v.29 no.2
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• pp.175-185
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• 2023

Purpose: The purpose of this study was to investigate the influence of nurses on the nursing intentions in patients with emerging infectious diseases. Methods: Data were collected from 201 nurses with over one year of clinical experience in a general hospital located in Seoul, South Korea. A structured self-report questionnaire was utilized to measure belief factors, core factors, rewards, and nursing professional pride, as well as nursing intentions in patients with emerging infectious diseases. Results: The results revealed that nurses' intentions to provide care for patients with emerging infectious diseases were significantly influenced by perceived behavioral control (β=.26, p<.001), clinical experience (β=-.14, p=.008), behavioral beliefs (β=.31, p=.010), feeling of vocation (β=.29, p=.012) and attitudes toward behaviors (β=.08, p=.034). Conclusion: Enhancing nurses' intentions to provide care for patients with emerging infectious diseases requires the implementation of systemic and educational strategies aimed at strengthening their confidence and beliefs.

• Journal of The Korean Astronomical Society
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• v.56 no.2
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• pp.225-229
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• 2023

We investigated an emerging magnetic loop dynamically formed on the Sun, which has the effective footpoint heating source that may play a key role in heating a solar atmosphere with free magnetic energy in it. It is suggested that the heating source could be related to local compression of a plasma in the emerging loop by means of Lorentz force, which converts the magnetic energy to the internal energy of the plasma that is used to reaccelerate a decelerated downflow along the loop, eventually generating the source when the kinetic energy of the downflow is thermalized. By analyzing very high-cadense data obtained from a magnetohydrodynamic simulation, we demonstrate how the local compression is activated to trigger the generation of the heating source. This reveals a characteristic of the emerging loop that experiences a dynamic loop-loop interaction, which causes the local compression and makes the plasma gain the internal energy converted from the magnetic energy in the atmosphere. What determines the characteristic that could distinguish an illuminated emerging loop from a nonilluminated one is discussed.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.92-116
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• 2023

Emerging Industries often do not match the structures and contents of existing regulations, and regulations that impose excessive burdens compared to the regulatory purpose are continuously created. These results, the emerging industries struggle to growth. In order to respond to these regulatory problems, the regulatory management policies are establishing in each country, and research on the reasonable regulatory methods and its effects on industry has continued. But companies still complain of difficulties in business due to regulations. In the background, it is analyzed that there are limitations in response to regulatory issues of the emerging industry, such as the lack of standards and expertise that can be judged as 'problems', and delay in recognizing and improving the problems of the competent ministries, over-interpretation of the risks of new technologies, and vague concerns about accidents etc., the regulation corresponding limitations is existed. In this regard, this study seeks to lay the groundwork for analysis of the major regulatory conflict issues and the reasonable countermeasures by identifying the regulatory conflict issues arising from the emergence of the innovative technologies and services, and analyzing studies to resolve them.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.157-161
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• 2008

In this paper, we propose a new framework for identifying emerging technologies to in mobile telecommunication industry. We designed a new framework using qualitative and quantitative methodologies. Finally, we deduced emerging technologies using our framework for mobile network operator.

• Proceedings of the Korean Magnestics Society Conference
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• 2015.11a
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• pp.104-104
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• 2015

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.411-416
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• 2002

The emergence of viral diseases transmitted is nowadays a central problem in the world. Problem, which is becoming very critical in developing countries, where the health systems are not yet enough developed to face the bursting of such diseases. Emerging viral diseases constitute one of the major threats to human being that are arising in the modern world. Besides bio-chemical and medical researches, new orientations are developed to understand the environmental dimensions of such emergence. Questions concerning the inter-plays between the environmental and disease dynamics are building up new investigations, both in remote sensing and GIS, for the elaboration of levels of organization of space and environment in relation to incidences, to gain understandings in these issues. Environmental attributes attached to land cover types: area, spatial heterogeneity and physical state, are derived from remote sensing and applied to uncover related dimensions of the Dengue disease.

• Korean Management Science Review
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• v.28 no.1
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• pp.25-42
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• 2011

The mobile industry is the key foundation of digital convergence, and its constant growth is expected. Among mobile industries, new products leading the development of devices are the Emerging Device. This study is conducted to find out factors making differentiated by comparing the structural equation model(SEM) of the Tablet PC and the e-Book Reader. The main findings are as follows. First, the application of TAM to the Emerging Device shows that fitness of the model is generally high but the effect of Perceived Ease of Use has not been verified or found insignificant. Second, the acceptance model of the Tablet PC and the e-Book Reader has found that playfulness stimulates acceptance intentions. Third, the cost level of the Emerging Device acceptance model is not a factor stimulating consumers' acceptance intentions. Fourth, product attributes of the Tablet PC and the e-Book Reader to differentiate themselves from the other device are Functionality and Playfulness respectively.

• Journal of Preventive Medicine and Public Health
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• v.50 no.6
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• pp.411-414
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• 2017

Antimicrobial resistance and emerging infectious diseases, including avian influenza, Ebola virus disease, and Zika virus disease have significantly affected humankind in recent years. In the premodern era, no distinction was made between animal and human medicine. However, as medical science developed, the gap between human and animal science grew deeper. Cooperation among human, animal, and environmental sciences to combat emerging public health threats has become an important issue under the One Health Initiative. Herein, we presented the history of One Health, reviewed current public health threats, and suggested opportunities for the field of public health through better understanding of the One Health paradigm.