• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1847-1870
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• 2021

With the development of information and communication technologies, especially wireless networks and cell phones, the e-voting system becomes popular as its cost-effectiveness, swiftness, scalability, and ecological sustainability. However, the current e-voting schemes are faced with the problem of privacy leakage and further cause worse vote-buying and voter-coercion problems. Moreover, in large-scale voting, some previous e-voting system encryption scheme with pairing operation also brings huge overhead pressure to the voting system. Thus, it is a vital problem to design a protocol that can protect voter privacy and simultaneously has high efficiency to guarantee the effective implementation of e-voting. To address these problems, our paper proposes an efficient unidirectional proxy re-encryption scheme that provides the re-encryption of vote content and the verification of users' identity. This function can be exactly applied in the e-voting system to protect the content of vote and preserve the privacy of the voter. Our proposal is proven to be CCA secure and collusion resistant. The detailed analysis also shows that our scheme achieves higher efficiency in computation cost and ciphertext size than the schemes in related fields.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.105-116
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• 2021

In order to preserve the seeds of excellent Hanwoo(Korean traditional cattle) and secure quality competitiveness in the infinite competition with foreign imported beef, production of high-quality Hanwoo beef is absolutely necessary. %IMF (Intramuscular Fat Percentage) is one of the most important factors in evaluating the value of high-quality meat, although standards vary according to food culture and industrial conditions by country. Therefore, it is required to develop a %IMF estimation algorithm suitable for Hanwoo. In this study, we proposed a method of estimating %IMF of Hanwoo using CNN in ultrasound images. First, the proposed method classified the chemically measured %IMF into 10 classes using k-means clustering method to apply CNN. Next, ROI images were obtained at regular intervals from each ultrasound image and used for CNN training and estimation. The proposed CNN model is composed of three stages of convolution layer and fully connected layer. As a result of the experiment, it was confirmed that the %IMF of Hanwoo was estimated with an accuracy of 98.2%. The correlation coefficient between the estimated %IMF and the real %IMF by the proposed method is 0.97, which is about 10% better than the 0.88 of the previous method.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.19 no.4
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• pp.479-489
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• 2021

The Republic of Korea is expected to participate in the denuclearization verification activities by the International Atomic Energy Agency (IAEA) in case any neighboring countries declared denuclearization. In this study, samples for the verification of nuclear activities in undeclared areas were selected for the denuclearization of neighboring countries, and the appropriateness of the procedures was considered. If a country with nuclear weapons declares denuclearization, it must be accompanied by the IAEA's verification regarding nuclear materials and weapons in the declared and undeclared areas. The analysis of the process samples or on-site environmental samples and the verification of undeclared nuclear facilities and materials aid in uncovering any evidence of concealment of nuclear activity in undeclared areas. Therefore, a methodology was established for effective sampling and analysis in accordance with proper procedures. Preparations for sampling in undeclared areas were undertaken for various potential scenarios, such as, the establishment of zones according to radiation dose, methods of supplying electricity, wireless communication networks, targets of sampling according to characteristics of nuclides, manned sampling method, and unmanned sampling method. Through this, procedures were established for pre- and post-site settings in preparation for hazards and limiting factors at nuclear inspection sites.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.57-62
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• 2022

The attractiveness of e-sports games¹ and the way it is spread has changed in recent years. Instead of conventional approaches, such as advertising campaigns or televised events, spectators are increasingly drawn to online platforms, which offer more opportunities for communication. Besides live streaming services like Twitch. tv, where spectators can watch matches in real-time or via recorded videos, social media platforms like Facebook and Twitter are now adding e-sports related content to their networks [1]. Especially the combination of live streams on Twitch, Twitter, and Facebook opens many possibilities regarding how information is shared. This might be an efficient way of spreading attractiveness among female audiences. This paper focuses on the attractiveness of e-sports events in general for females. It has been hypothesized that there are certain factors that influence this attractiveness. Studying past research papers and online resources, three factors were identified: The players' behavior and charisma, the impact of social media as well as videogames themselves. It is found that females are attracted to e-sport games because they allow them to engage more in the game compared to other videogames. This is because there are no time constraints that require players to accomplish certain tasks within a specific time frame. As such, female gamers can choose how much effort they want to put into the game depending on their personal preferences.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.4
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• pp.119-126
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• 2022

In this paper, we present important factors and methodologies that we have to follow for secure and efficient package management systems in a closed network. By analyzing previous works, we present several security considerations for the existing package management systems. Based on the consideration, we propose guidelines regarding the use of package management systems in the closed network. More specifically, we propose the development of new package management tools, utilization of physical storage media, utilization of local backup repositories, package updates, and downgrade batches for secure and efficient package management.

• BMB Reports
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• v.55 no.3
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• pp.113-124
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• 2022

Single-cell RNA sequencing (scRNA-seq) has greatly advanced our understanding of cellular heterogeneity by profiling individual cell transcriptomes. However, cell dissociation from the tissue structure causes a loss of spatial information, which hinders the identification of intercellular communication networks and global transcriptional patterns present in the tissue architecture. To overcome this limitation, novel transcriptomic platforms that preserve spatial information have been actively developed. Significant achievements in imaging technologies have enabled in situ targeted transcriptomic profiling in single cells at single-molecule resolution. In addition, technologies based on mRNA capture followed by sequencing have made possible profiling of the genome-wide transcriptome at the 55-100 ㎛ resolution. Unfortunately, neither imaging-based technology nor capture-based method elucidates a complete picture of the spatial transcriptome in a tissue. Therefore, addressing specific biological questions requires balancing experimental throughput and spatial resolution, mandating the efforts to develop computational algorithms that are pivotal to circumvent technology-specific limitations. In this review, we focus on the current state-of-the-art spatially resolved transcriptomic technologies, describe their applications in a variety of biological domains, and explore recent discoveries demonstrating their enormous potential in biomedical research. We further highlight novel integrative computational methodologies with other data modalities that provide a framework to derive biological insight into heterogeneous and complex tissue organization.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.103-108
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• 2022

Mass media in the digital age are not only one of the most important elements of the information society but also a strategic resource for its development. Effectively implemented communication makes it possible to build connections not only between individuals, but also between social institutions and representatives of various generational groups of the mass audience, as well as ensure information security in a crisis period. At the same time, in the context of a constantly increasing amount of information flows, more and more often "a person loses the ability to independently think, analyze, and critically perceive information." At the same time, "imposing" on the representatives of this or that society, through the content of multi-format mass media or active authors of social networks, a certain point of view on the problem becomes a completely realizable task. Thus, the main task of the study is to analyze the anti-crisis communications in legal discourse in terms of ensuring information security. As a result of the study, current trends and prerequisites of anti-crisis communications in legal discourse in terms of ensuring information security were revealed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.714-724
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• 2022

The spread of mobile devices comes to increase explosive data traffic and then results in various types of service demands. In order to satisfy the increment of traffic and the requirements for various services, optical internet technologies that transmit several Tbps through only a single optical fiber have been actively studied. Because of the large bandwidth, an optical link can accommodate a large number of service types. Therefore, new technologies are required to guarantee the survivability of optical internet and handle the requirements of each service. So, in this article, a new scheme based on GMPLS technologies is proposed to deal with the various service demands and survivability issues in IP over WDM networks.

• Journal of information and communication convergence engineering
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• v.20 no.4
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• pp.250-258
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• 2022

The emerging scope of the Internet-of-Things (IoT) has piqued the interest of industry and academia in recent times. Therefore, security becomes the main issue to prevent the possibility of cyberattacks. Jamming attacks are threads that can affect performance and cause significant problems for IoT device. This study explores a smart jamming attack (coalition attack) in which the attackers were previously a part of the legitimate network and are now back to attack it based on the gained knowledge. These attackers regroup into a coalition and begin exchanging information about the legitimate network to launch attacks based on the gained knowledge. Our system enables jammer nodes to select the optimal transmission rates for attacks based on the attack probability table, which contains the most probable link transmission rate between nodes in the legitimate network. The table is updated constantly throughout the life cycle of the coalition. The simulation results show that a coalition of jammers can cause highly successful attacks.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.102-118
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• 2022

With the development of digital content software production technology and the technological progress of related hardware, the social status quo in the post-epidemic era, the popularization and application of 5G networks, the market and consumers' increasing demand for digital content products, artificial intelligence, virtual digital human, virtual Idols, virtual live, self-media content and metaverse-related content industries are all developing rapidly. Virtual idols, virtual digital human, etc. are not only accelerating innovation in production technology. The economic cost, technical difficulty and time requirements of production are also greatly reduced. With the arrival and development of the Metaverse, the author believes that the content industry with virtual digital humans as the core will continue to develop in the direction of refinement, specialization, facilitation and customization. In this article, we will analyze and study the production of virtual digital human based on Photoscan technology and Unreal Engine 5 Metahuman software, and discuss the application status and future development of related content.