• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.747-749
• /
• 2017

To protect financial services against danger of financial accidents and customer information leakage caused by malware, injection attack and so on, Financial Services Commission announced "Financial Networks Security Enhancement Comprehensive Plan", which suggests the guideline of protecting customer information and providing secure financial services by separating network topology and then makes the financial company use network partitioning system. In consequence of this policy, financial companies respectively chose between the physical partitioning mechanism or the logical partitioning mechanism according to their IT environment. This paper suggests an efficient infrastructure configuration plan for making the logical network partition, by comparison of a construction of traditional general equipment and an integrated HCI(Hyper Converged Infrastructure) through 'Hyper Converged' which is one of virualization techniques for developing currently, and the case study of the integrated HCI method.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.10
• /
• pp.4015-4033
• /
• 2015

The future mobile networks consist of hyper-dense heterogeneous and small cell networks of same or different radio access technologies (RAT). Integrating mobile networks of different RATs to provide seamless and smooth mobility service will be the target of future mobile converged network. Generally, handover from high-speed networks to low-speed networks faces many challenges from application perspective, such as abrupt bandwidth variation, packet loss, round trip time variation, connection disruption, and transmission blackout. Existing inter-RAT handover solutions cannot solve all the problems at the same time. Based on the high-layer convergence sublayer design, a new receiver-aided soft inter-RAT handover is proposed. This soft handover scheme takes advantage of multihoming ability of multi-mode mobile station (MS) to smooth handover procedure. In addition, handover procedure is seamless and applicable to frequent handover scenarios. The simulation results conducted in UMTS-WiMAX converged network scenario show that: in case of TCP traffics for handover from WiMAX to UMTS, not only handover latency and packet loss are eliminated completely, but also abrupt bandwidth/wireless RTT variation is smoothed. These delightful features make this soft handover scheme be a reasonable candidate of mobility management for future mobile converged networks.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.211-215
• /
• 2021

The number of megacities are increasing, due to the global urbanization. Along with this change, climate change, social development and technology advance make the calamities complicated and more devastating. Especially, megacities are hyper-netted, hyper-connected and hyper-converged with population more than 10 million and their domain. When calamities break out, the damage will be aggravated for they lead to another ones. Since megacities are the center of politics, economics and culture of a nation. so when complex disaster break out in megacities, this may be developed to a peril to the national security. Therefore, pan-government effort must be concentrated in preparing abilities to forecast, react, rapid response and resilience.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.109-112
• /
• 2020

본 논문은 기업의 중요 정보를 내부에 저장하면서도 스토리지, 컴퓨팅 및 네트워크를 단일 시스템으로 통합한 HCI(Hyper-Converged Infrastructure) 기반의 On-premises 가상화 인프라를 기업에 도입했을 때의 효과를 검증한다. 150여 대의 물리 서버를 운영하는 기업에서 신규 시스템에 대해서 HCI 가상화 기반의 인프라를 도입하여 물리 서버 대비 약 35%의 구축비용을 절감하고, 기본 사용 연수인 5년간의 유지보수 비용은 약 59%의 절감효과를 예상할 수 있었다. 이를 통해 HCI 가상화 기술을 통해 정보기술이 기업 비즈니스 성패에 큰 영향을 주는 4차산업 혁명 시대에 기업의 총 IT 소유비용(TCO)을 절감할 수 있음은 물론, 빠른 비즈니스 변화에 유연하게 대응할 수 있는 인프라를 구성할 수 있음을 시사했다. 또한 가상화로 전환을 망설이는 기업에는 실질적인 효과를 제시할 수 있을 것이다.

• Journal of Arbitration Studies
• /
• v.32 no.1
• /
• pp.3-24
• /
• 2022

Today's society appears to be entering a hyper-connected society due to mental notions and information communication technologies being converged for advanced development. Trade between countries around the world is increasing amidst the digital economy and fourth industrial revolution, which is being accompanied by a growing number of trade disputes. Appropriately resolving disputes is crucial for corporate growth, and ADR is drawing attention as a more reasonable solution between interested parties compared to lawsuits. This also applies to international trade as there is growing movements to resolve disputes between parties more efficiently and feasibly through mediation. The adaptation of an international convention for implementation in a third country for settlement agreements drawn up through such international mediation is a new and unprecedented attempt. In other words, the Singapore Convention on Mediation looks to resolve international commercial disputes by granting executive force on the outcomes of mediations. However, a system to solve various legal issues must be put into place to execute the outcomes in the respective country or third country, and a variety of tools for this are necessary.

• Convergence Security Journal
• /
• v.19 no.1
• /
• pp.3-10
• /
• 2019

The 5G network is a next-generation converged network that combines various ICT technologies to realize the need for high speed, hyper connection and ultra low delay, and various efforts have been made to address the security vulnerabilities of the previous generation mobile networks. However, the standards released so far still have potential security vulnerabilities, such as USIM deception and replication attack, message re-transmission attack, and race-condition attack. In order to solve these security problems, this paper proposes a new 5G-AKA protocol with PUF technology, which is a physical unclonable function. The proposed PUF-based 5G-AKA improves the security vulnerabilities identified so far using the device-specific response for a specific challenge and hash function. This approach enables a strong white-list policy through the addition of inexpensive PUF circuits when utilizing 5G networks in areas where security is critical. In addition, since additional cryptographic algorithms are not applied to existing protocols, there is relatively little burden on increasing computational costs or increasing authentication parameter storage.

• Computers and Concrete
• /
• v.33 no.4
• /
• pp.425-443
• /
• 2024

Floods are among the most common natural hazards in urban areas. To mitigate the problems caused by flooding, unstructured data such as images and videos collected from closed circuit televisions (CCTVs) or unmanned aerial vehicles (UAVs) have been examined for flood management (FM). Many computer vision (CV) techniques have been widely adopted to analyze imagery data. Although some papers have reviewed recent CV approaches that utilize UAV images or remote sensing data, less effort has been devoted to studies that have focused on CCTV data. In addition, few studies have distinguished between the main research objectives of CV techniques (e.g., flood depth and flooded area) for a comprehensive understanding of the current status and trends of CV applications for each FM research topic. Thus, this paper provides a comprehensive review of the literature that proposes CV techniques for aspects of FM using ground camera (e.g., CCTV) data. Research topics are classified into four categories: flood depth, flood detection, flooded area, and surface water velocity. These application areas are subdivided into three types: urban, river and stream, and experimental. The adopted CV techniques are summarized for each research topic and application area. The primary goal of this review is to provide guidance for researchers who plan to design a CV model for specific purposes such as flood-depth estimation. Researchers should be able to draw on this review to construct an appropriate CV model for any FM purpose.

• Journal of the Korean Geotechnical Society
• /
• v.38 no.12
• /
• pp.19-28
• /
• 2022

Cavities behind concrete walls can adversely affect the stability of structures. Thus study aims to detect cavities behind concrete structures using a microphone in a laboratory model test. A small-scale concrete wall is constructed in a chamber, which is composed of a reinforced concrete plate and dry soil. A plastic bowl is then placed between the plate and soil to simulate a cavity behind the concrete structure. Leaky surface acoustic waves are generated by impacting the concrete plate using a hammer and are measured using a microphone. The measured signals are analyzed using natural frequencies, and cavity-free sections are evaluated. The test results show that the first natural frequency decreases at the cavity section due to the flexural vibration behavior of the plate. In addition, the amplitude corresponding to the first natural frequency decreases as the measurement location becomes farther from the cavity center and significantly decreases at the measurement locations near the rebars. This study demonstrates that a microphone may be useful to detect cavities behind concrete walls.

• Journal of Korea Water Resources Association
• /
• v.56 no.7
• /
• pp.439-449
• /
• 2023

Recent advancements in data measuring technology have facilitated the installation of various sensors, such as pressure meters and flow meters, to effectively assess the real-time conditions of water distribution systems (WDSs). However, as cities expand extensively, the factors that impact the reliability of measurements have become increasingly diverse. In particular, demand data, one of the most significant hydraulic variable in WDS, is challenging to be measured directly and is prone to missing values, making the development of accurate data generation models more important. Therefore, this paper proposes an adversarially trained autoencoder (ATAE) model based on generative deep learning techniques to accurately estimate demand data in WDSs. The proposed model utilizes two neural networks: a generative network and a discriminative network. The generative network generates demand data using the information provided from the measured pressure data, while the discriminative network evaluates the generated demand outputs and provides feedback to the generator to learn the distinctive features of the data. To validate its performance, the ATAE model is applied to a real distribution system in Austin, Texas, USA. The study analyzes the impact of data uncertainty by calculating the accuracy of ATAE's prediction results for varying levels of uncertainty in the demand and the pressure time series data. Additionally, the model's performance is evaluated by comparing the results for different data collection periods (low, average, and high demand hours) to assess its ability to generate demand data based on water consumption levels.