• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.206-212
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• 2022

Strengthening global geopolitical instability in the world leads to an aggravation of international conflicts; it destabilizes the domestic political situation in countries, violates the rights and freedoms of man and citizen, and also activates economic crime. The full-scale invasion of the Russian Federation on the territory of Ukraine and the deployment of military operations in a large territory of a sovereign country have created a number of destabilizing factors in the development of digital technologies and negatively affect the state and trends of digital marketing, which allows establishing interaction with a wide audience and facilitating the search for new customers in various places. The purpose of the research lies in substantiating the theoretical and applied principles for studying the features of digital marketing in the conditions of wartime posture in Ukraine. In the course of the research, general and special methods of economic analysis have been used and applied, namely: analysis and synthesis; analogies and comparisons; generalization and systematization; graphic and tabular methods. Regarding the results of the research of digital marketing in the conditions of wartime posture in Ukraine, it has been established that the intensification of the development of digital marketing is caused by the crisis phenomena of social-economic, social-political and military nature, as well as exacerbated by the challenges of the COVID-19 pandemic. It has been proven that highly developed countries use innovative digital technologies more effectively in the field of marketing, which indicates the importance of the Multidimensional Index of Digitization (the USA - MID: 0,92-0,92; the UK - MID: 0,80-0,97; Japan - MID: 0,80-0,88; Canada - MID: 0,78-0,81; Germany - MID: 0,78-0,88; France - MID: 0,72-0,76), however, the developing countries record much lower values (Ukraine - MID: 0,22-0,48). Accordingly, the level of cybersecurity in highly developed countries is also significantly higher than in transitive countries, in particular, in the United States (GCI: 0,919-0,999); Great Britain (GCI: 0,783-0,995); Canada (GCI: 0,818-0,978) and in Ukraine (GCI: 0,501-0,661).

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.525-534
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• 2022

The supply of housing can be understood through a close relationship with the urbanization phenomenon. Through industrialization and urbanization, many cities have implemented systems and policies for housing supply due to population concentration in cities, poor housing quality, and lack of housing. In the case of the Netherlands, the Housing Act was enacted in 1901 to improve the residential environment during the period when the population was concentrated in the city, and various efforts were made to expand the housing supply. Through this process, we understand the background of collective housing types in the Netherlands and analyze the application stages of contemporary residential housing planning in Rotterdam and Amsterdam. On the other hand, through the experience of Western society, we examine how to view the problem of multi-family housing types in our society, where the proportion of apartments is continuously increasing.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.185-196
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• 2022

The Internet of Things (IoT) has become more and more widespread in recent years, thus attackers are placing greater emphasis on IoT environments. The IoT connects a large number of smart devices via wired and wireless networks that incorporate sensors or actuators in order to produce and share meaningful information. Attackers employed IoT devices as bots to assault the target server; however, because of their resource limitations, these devices are easily infected with IoT malware. The Distributed Denial of Service (DDoS) is one of the many security problems that might arise in an IoT context. DDOS attempt involves flooding a target server with irrelevant requests in an effort to disrupt it fully or partially. This worst practice blocks the legitimate user requests from being processed. We explored an intelligent intrusion detection system (IIDS) using a particular sort of machine learning, such as Artificial Neural Networks, (ANN) in order to handle and mitigate this type of cyber-attacks. In this research paper Feed-Forward Neural Network (FNN) is tested for detecting the DDOS attacks using a modified version of the KDD Cup 99 dataset. The aim of this paper is to determine the performance of the most effective and efficient Back-propagation algorithms among several algorithms and check the potential capability of ANN- based network model as a classifier to counteract the cyber-attacks in IoT environments. We have found that except Gradient Descent with Momentum Algorithm, the success rate obtained by the other three optimized and effective Back- Propagation algorithms is above 99.00%. The experimental findings showed that the accuracy rate of the proposed method using ANN is satisfactory.

• Journal of Aerospace System Engineering
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• v.17 no.4
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• pp.1-9
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• 2023

Recently, as Synthetic Aperture Radar (SAR), communication, and signal surveillance missions of spacecraft have become more advanced, research has been actively conducted on the deployable large mesh antenna system with excellent storage efficiency compared to the deployment area, and light weight. Deployable Mesh antennae are characterized by an increase in the number of Openings Per Inch (OPI), which is a measure of mesh weaving density as the mission frequency band increases, and this OPI change directly affects the thermal optical properties of the mesh antenna, so research on this is required. In this paper, to verify the thermal relationship between the optical properties of the mesh and antenna reflector, thermal sensitivity analysis between the mesh and the antenna reflector is performed by in-orbit thermal analysis with various optical characteristics of the mesh based on existing overseas research cases. In addition, the temperature gradient effect of the mesh reflector is analyzed.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.928-934
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• 2009

Although the evolution and deployment of information technologies will undoubtedly play an important role in the current construction industry, many engineers are still unsure of the economic value of using these technologies. Especially for the planning of a construction project, a collaboration system to utilize the whole resources is a essential tool for the successful outcome. A detailed, authoritative, and readily accessible information model is needed to enable engineers to make cost-effective decisions among established and innovative plan alternatives. Most engineers rely on limited private experiences when they create solutions or design alternatives. Initial planning is crucial for the success of the construction project. Most construction projects are done through collaboration of engineers who have different specialized knowledge. Information technologies can dramatically enhance the performance of the collaboration. For the information delivery, we need a mediator between engineers. Object-based 3-D models are useful for the communication and decision assistance for the intelligent project design. In this paper, basic guidelines for the 3-D design according to different construction processes are suggested. Adequate interoperability of 3-D objects from any CAD system is essential for the collaboration. Basic architectures of geometry models and their information layer were established to enable interoperability for design checks, estimation and simulation. A typical international project for roadway was chosen for the pilot project. 3-D GIS model was created and bridge information models were created considering several requirements for planning and decision making of the project. From the pilot test, the integrated construction project planning using 3-D information models was discussed and several guidelines were suggested.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.4
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• pp.17-27
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• 2010

Major IT vendors expect that cloud computing technology makes it possible to reduce the contents service cycle, speed up application deployment and skip the installation process, reducing operational costs, proactive management etc. However, cloud computing environment for massive content service solutions requires high-performance data processing to reduce the time of data processing and analysis. In this study, Efficient_Cloud_Processing_Scheme(ECPS) is proposed for allocation of resources for massive content services. For high-performance services, optimized resource allocation plan is presented using MapReduce programming techniques and association rules that is used to detect hidden patterns in data mining, based on levels of Hadoop platform(Infrastructure as a service). The proposed ECPS has brought more than 20% improvement in performance and speed compared to the traditional methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.4
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• pp.699-707
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• 2023

DevSecOps is a concept that adds security procedures to the operational procedures of DevOps to respond to the short development and operation cycle. Multi-step vulnerability scanning process should be considered to provide reliable security while supporting rapid development and deployment cycle in DevSecOps. Many open-source vulnerability scanning tools available can be used for each stage of scanning, but there are difficulties in evaluating the security level and identifying the importance of information in integrated operation due to the various functions supported by the tools and different security results. This paper proposes an integrated security metric design plan for scurity results and the combination of open-source scanning tools that can be used in security stage when building the open-source based DevSecOps system.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3409-3416
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• 2023

Licensing the next-generation of nuclear reactor designs requires extensive use of Modeling and Simulation (M&S) to investigate system response to many operational conditions, identify possible accidental scenarios and predict their evolution to undesirable consequences that are to be prevented or mitigated via the deployment of adequate safety barriers. Deep Learning (DL) and Artificial Intelligence (AI) can support M&S computationally by providing surrogates of the complex multi-physics high-fidelity models used for design. However, DL and AI are, generally, low-fidelity 'black-box' models that do not assure any structure based on physical laws and constraints, and may, thus, lack interpretability and accuracy of the results. This poses limitations on their credibility and doubts about their adoption for the safety assessment and licensing of novel reactor designs. In this regard, Physics Informed Neural Networks (PINNs) are receiving growing attention for their ability to integrate fundamental physics laws and domain knowledge in the neural networks, thus assuring credible generalization capabilities and credible predictions. This paper presents the use of PINNs as surrogate models for accidental scenarios simulation in Nuclear Power Plants (NPPs). A case study of a Loss of Heat Sink (LOHS) accidental scenario in a Nuclear Battery (NB), a unique class of transportable, plug-and-play microreactors, is considered. A PINN is developed and compared with a Deep Neural Network (DNN). The results show the advantages of PINNs in providing accurate solutions, avoiding overfitting, underfitting and intrinsically ensuring physics-consistent results.

• (The) Research of the performance art and culture
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• no.43
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• pp.405-440
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• 2021

The members of the holding group 'YangjuByeolsandae-nori' (National Important Intangible Cultural Heritage) were divided into two groups in 2010. This means that the internal groupwhich has been going on since the previous period exploded. The subject of the researchis to deal with thedisruption. The first purpose of the research is to record the cause·deployment·ending of the 'YangjuByeolsandaeTalnori'. The second purpose of the research is to reviewthe appropriateness of the administrative measures taken by the Cultural Heritage Administrationin intervention. The thirdpurpose of the research the Cultural Heritage Administration's contribution to the establishment of principles to cope with group disruption. The fourth purpose of the researchis to serve as a reference to the resolution of the disruption of other preservation groups. The result of the research suggests that the administration should recognize that the conflict of the ownership over the group must be resolved in order to boost the overall success of the project, and must establish and respond to the principles. The content is a reconstruction of the explanation. To deal with divisions is also considered to be a field of study. The research which deals directly with the main researcher's problems is put forward in hopes of contributing to the study and contributing to society.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.145-153
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• 2022

This study is an empirical analysis of the major factors influencing the globalization level of Chinese public enterprises. Based on previous research, we conducted a regression analysis using the transnational index as a dependent variable and export tax refund, exchange rate, human resources, innovation ability, asset management ability, loan ability, corporate development stage, global deployment ability, etc. as independent variables. As a result of the empirical analysis of this study, it was found that export refund (E_tax) and exchange rate (E_rate) have a statistically significant effect on the external influencing factors of globalization. Human resource capabilities (Edu, O_hunan), innovation capability (R&D), and financing capability (Finance) were found to be important internal influencing factors for the globalization of public enterprises. The role of the government in establishing the strategy of SOEs should be maintained at the level of guidance and it should provide guidance so that the autonomy of SOEs is not restricted as the role of the government is separated from the government's compulsory management and supervisory functions, leading to excessively compulsory management.