• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.1
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• pp.87-97
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• 2023

Containers are an emerging virtualization technology that can build an isolated environment more lightweight and faster than existing virtual machines. For that reason, many organizations have recently adopted them for their services. Yet, the container architecture has also exposed many security problems since all containers share the same OS kernel. In this work, we focus on the fact that an attacker can abuse host resources to make them unavailable to benign containers-also known as host resource exhaustion attacks. Then, we analyze the impact of host resource exhaustion attacks through real attack scenarios exhausting critical host resources, such as CPU, memory, disk space, process ID, and sockets in Docker, the most popular container platform. We propose five attack scenarios performed in several different host environments and container images. The result shows that three of them put other containers in denial of service.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.247-260
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• 2022

This paper investigates plans to expand distribution channels for books by installing a book vending machine at convenience stories for the vitalization of the publishing culture and industry. After establishing the meaning of convenience stories and the concept of a book vending machine, the researcher identified a need for the installation and management of a book vending machine at convenience stories. This plan will promote fairness and transparency in book sales through the convenience store system and push forward outsourcing between the publishing industry and the convenience store industry, the expansion of omnichannel service for consumers, and experiential values for clients to increase their customer satisfaction. The composition of the book vending machine will take the smart library form for its management with a universal design applied to a kiosk program. In the study, the researcher schematized this process and conducted a survey with 310 adults to search for practical management plans for a book vending machine. In the future, more research on the diversification of sales and distribution channels for publications such as the installation of a book vending machine at convenience stores will hopefully contribute to the growing amount of reading per capita and promotion of a reading environment for people according to the vitalization of the publishing culture and industry.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.115-115
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• 2022

2020년 역대 최장의 기간을 기록한 장마는 8월초 기록적인 폭우와 홍수로 이어지면서 전국 곳곳에 많은 인명과 재산피해 등 커다란 상처를 남겼다. 최근의 재해 발생 및 특성을 살펴보면 수자원 시설물의 운영·관리 기준의 한계를 벗어난 극단적 기후 현상의 규모와 발생빈도가 급격하게 증가하는 추세가 나타나고 있다. 이처럼 기후위기의 영향으로 집중호우, 극한가뭄 등의 발생빈도와 그 강도가 급증하는 상황에서 실제상황을 보다 신속, 정확하게 모니터링하고 예측하여 물관련 재해를 예방하고 대처하는 것은 무엇보다 시급한 과제라 할 수 있다. 또한 세계 각국은 코로나19로 인한 패러다임의 변화에 대응하고 경제위기 극복을 위해 산업 전반에 걸쳐 디지털 전환을 가속화 하고 있다. 정부도 코로나19로 촉발된 위기 극복을 위해 한국판 뉴딜의 대표과제로 디지털 트윈 사업을 추진하고 있다. K-water는 정부의 디지털 전환 정책에 발맞추어 기후위기에 따른 물관리의 복잡성, 불확실성에 대응하고 효율성과 신뢰도를 제고하기 위해 섬진강유역을 대상으로 디지털 트윈 물관리 플랫폼 구축을 추진하였다. 본 플랫폼은 유역내 기상·수문 관측자료를 실시간으로 모니터링하고 홍수, 가뭄, 수질, 댐안전 등 다양한 이슈를 사전에 시뮬레이션하여 결과를 3차원 지형에 표출하고 이에 대한 피드백을 통해 최적의 의사결정을 지원하는 체계로 구성되어 있다. K-water는 물관리 디지털 전환을 위하여 섬진강유역 구축을 기반으로 5대강 유역을 대상으로 플랫폼 구축을 확대할 예정이며, 댐하류·지류 합류부 등 재해 취약지역까지 아우르는 종합적인 물관리 의사결정의 One-System 플랫폼 구축을 확대할 예정이다. 이를 통해 유역 전체의 수문상황을 실시간으로 파악 및 신속하게 대응하고, 정확성이 향상된 의사결정으로 보다 효율적이고 안전한 물관리 기반을 마련하고자 한다. 또한 본 플랫폼에 기반한 디지털 물관리 기술 선도로 새로운 물산업 생태계를 조성하고, 민간기업과의 핵심기술 공동개발 등 기술협력을 통해 디지털 물산업 기술 경쟁력 확보에도 기여하고자 한다.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.97-106
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• 2023

Sentiment analysis using social network platforms such as Twitter has achieved tremendous results. Twitter is an online social networking site that contains a rich amount of data. The platform is known as an information channel corresponding to different sites and categories. Tweets are most often publicly accessible with very few limitations and security options available. Twitter also has powerful tools to enhance the utility of Twitter and a powerful search system to make publicly accessible the recently posted tweets by keyword. As popular social media, Twitter has the potential for interconnectivity of information, reviews, updates, and all of which is important to engage the targeted population. In this work, numerous methods that perform a classification of tweet sentiment in Twitter is discussed. There has been a lot of work in the field of sentiment analysis of Twitter data. This study provides a comprehensive analysis of the most standard and widely applicable techniques for opinion mining that are based on machine learning and lexicon-based along with their metrics. The proposed work is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and polarized positive, negative or neutral. In order to validate the performance of the proposed framework, an extensive series of experiments has been performed on the real world twitter dataset that alter to show the effectiveness of the proposed framework. This research effort also highlighted the recent challenges in the field of sentiment analysis along with the future scope of the proposed work.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.397-402
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• 2024

Speech recognition and motion recognition technologies are applied and used in various smart devices, but they are composed of simple command recognition forms and are used as simple functions. Apart from simple functions for recognition data, professional command execution capabilities are required based on data learned in various fields. Research is being conducted on a system platform that provides optimal data to users using Generative AI, which is currently competing around the world, and can interact through voice recognition and motion recognition. The main technical processes designed for this study were designed using technologies such as voice and motion recognition functions, application of AI technology, and two-way communication. In this paper, two-way communication between a device and a user can be achieved by various input methods through voice recognition and motion recognition technology applied with AI technology.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.181-198
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• 2024

As the teaching and learning paradigm shifts, the demand for informal learning is increasing. In this study, we reviewed related literature and analyzed cases of operating professional learning communities in order to apply professional learning communities to librarianship education and training programs. Seven operational cases of professional learning communities, both domestic and foreign, within the field of librarianship and other fields were selected. The organizational structure, operational format and method, learning content, and support systems were analyzed. Through this analysis, the concept of a librarian learning community was defined, and implications for organizing and operating a librarian learning community were derived from the spontaneity and multi-layeredness of composition, diversity of learning community operation formats, and fieldality of learning content. As a support system for the smooth operation and activation of the librarian learning communities continuity of program operation by the operating organization, support and cooperation from affiliated organizations, education and training programs, platform establishment and operation, and dissemination and feedback of results for activation were presented.

• Journal of Physiology & Pathology in Korean Medicine
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• v.38 no.1
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• pp.22-26
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• 2024

The purpose of this study was to identify the applicability, main compounds, and target genes of Cnidii Fructus (CF) in the treatment of gastritis using network pharmacology. The compounds in CF were searched in Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine (TM-MC). The target gene information of the compounds was collected from pubchem and cross-compared with the gastritis-related target gene information collected from Genecard to derive the target genes. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed on the derived target genes. Afterwards, network analysis between compounds and disease target genes was performed using cytoscape. We identified 121 active compounds and 139 target genes associated with gastritis. Pathways derived from the GO biological process and KEGG pathway DB primarily focus on target genes related to inflammation (IL-6, IL-8, TNF production, NF-κB transcription factor activity, and NF-κB signaling pathway) and cell death (PI3K-Akt, FoxO). Major targets for CF treatment of gastritis include TP53, TNF, BCL2, EGFR, NFKB1, ABCB1, PPARG, PTGS2, IL6, IL1B, and SOD1, along with major compounds such as coumarin, osthol, hexadecanoic acid, oleic acid, linoleic acid, and stigmasterol. This study provided CF's applicability for gastritis, related compounds, and target information. Evaluating CF's effectiveness in a preclinical gastritis model suggests its potential use in clinical practice for digestive system diseases.

• Journal of Wind Energy
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• v.15 no.1
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• pp.21-29
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• 2024

In order to respond to environmental changes and various events in the nearby sea area due to the operation of an offshore wind substantiation farm in the Southwest Sea, X-band radar has been installed and operated on a fixed platform since 2018. The X-band radar's monitoring system produces wave and current data through Rutter's Ocean WaveS wave and current (Sigma S6 WaMoS II). In this study, to verify the reliability of the produced data, the accuracy of current and wave data was evaluated by analyzing the correlation with the results obtained by an acoustic doppler current profiler (ADCP). The selected analysis period was a total of 30 days from November 29 to December 28, 2021, the period during which the ADCP survey was conducted. As a result of comparative verification, the current, wave height and peak wave period (H_s > 0.69 m) data observed from the X-band radar showed a high correlation with the results investigated from ADCP. In the future, current and wave data produced by X-band radar are expected to be used as basic data to analyze environmental changes in sea areas and provide information on various events.

• Korean Journal of Applied Biomechanics
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• v.34 no.1
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• pp.34-44
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• 2024

Objective: This study aimed to investigate how the movements occurring during the follow-through phase after releasing an arrow among elite compound archers, are associated with the arrow impact points on the target. Method: Nine elite archers performed consecutive compound archery shooting under conditions identical to actual competitions using their own bows and equipment. Motion capture system and force platform were utilized to record the changes in joint positions and center of pressure, respectively. Principal component analysis was employed to identify the patterns in which multidimensional joint positions and COP changes were organized with horizontal and vertical coordinates of arrow impact points. Subsequently, correlation analysis quantified the relationship between individual variables and the coordinates of arrow impacts on the target. Results: We found a common organizational pattern in which the two axes of the impact point coordinates were grouped into the first two principal components. The movements of the upper and lower limbs following release exhibited opposite patterns in the anterior-posterior axis, with significant correlations observed between the arrow impact points of the horizontal axis and the left shoulder, right elbow, left hip, and both knees. Additionally, the lateral movements induced by the reaction force upon arrow release showed significant associations with the vertical coordinates of the impact points. Particularly, the correlations between the movements of the left shoulder and elbow, as well as the bilateral hip and right knee, were consistently observed among all participants. Conclusion: These findings implied that the post-release movements could significantly influence the trajectory and impact points of the arrows in compound archery. We suggest that a consistent and controlled movement during the follow-through phase may be more beneficial for optimizing shooting accuracy and precision rather than minimizing movements.

• Journal of Space Technology and Applications
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• v.4 no.2
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• pp.87-104
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• 2024

CubeSats are being utilized in various fields such as Earth observation, space exploration, and verification of space science and technology due to their low cost, short development period, enhanced mission-oriented performance, and ability to perform various missions through constellation and formation flights. Recently, as the availability of CubeSats has increased and their application areas have expanded, the demand for high-speed transmission of large amounts of data obtained by CubeSats has increased unprecedentedly. Laser-based free space optical communication technology is capable of transmitting large amounts of data at high speeds compared to the existing radio communication methods, and provides various advantages such as use of unlicensed spectrum, low cost, low power, high security characteristics, and of use a small communication platform. For this reason, it is suitable as a high-performance communication technology to support CubeSat missions. In this paper, we will present the core components and characteristics of CubeSat-based space laser communication system, and recent research trends, as well as representative technology development results.