• Smart Structures and Systems
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• v.31 no.2
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• pp.141-154
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• 2023

After an earthquake, information regarding potential damage to buildings close to the epicenter is very important during the initial emergency response. This study proposes the use of crowdsourced measured acceleration response data collected from smartphones located within buildings to perform system identification of building structures during earthquake excitations, and the feasibility of the proposed approach is studied. The principal advantage of using crowdsourced smartphone data is the potential to determine the condition of millions of buildings without incurring hardware, installation, and long-term maintenance costs. This study's goal is to assess the feasibility of identifying the lowest fundamental natural frequencies of buildings without knowing the orientations and precise locations of the crowds' smartphones in advance. Both input-output and output-only identification methods are used to identify the lowest fundamental natural frequencies of numerical finite element models of a real building structure. The effects of time synchronization and the orientation alignment between nearby smartphones on the identification results are discussed, and the proposed approach's performance is verified using large-scale shake table tests of a scaled steel building. The presented results illustrate the potential of using crowdsourced smartphone data with the proposed approach to identify the lowest fundamental natural frequencies of building structures, information that should be valuable in making emergency response decisions.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.367-370
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• 2024

양자컴퓨터 시대가 눈앞에 도래한 지금 차세대 암호로 주목받고 있는 양자 내성 암호는 다양한 수학적 알고리즘에 안전성을 기반하고 있으나 이 안전성을 위협하는 대표적인 공격 기법 중 하나인 부채널 분석 공격에 대응하기 위한 노력들이 계속되어 왔다. 이 논문에서는 코드 기반 양자 내성 암호를 중심으로 알고리즘에 위협적인 부채널 분석 공격에 대한 연구 동향을 분석하였다. 그리고 NIST 에서 PQC 표준화를 위해 Round 를 진행 중인 후보 중 하나인 코드 기반 알고리즘 MEDS 에 대해 소개하고, MEDS 알고리즘의 최적화를 위해 기존에 연구되었던 코드 기반 암호에 대한 부채널 분석 공격 대응 측면에서의 알고리즘의 안전성 확보라는 보안 비용과 하드웨어 가속 등을 통한 성능 향상이 적절한 조화를 이룰 수 있도록 설계하기 위한 방안에 대해 알아보았다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.374-376
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• 2024

최근 차세대 암호로 불리는 양자내성암호(PQC, Post Quantum Cryptography)는 양자 컴퓨터와 현재 사용하는 일반 컴퓨터 모두에서 내성을 갖는 암호이다. 그 중 FALCON 전자 서명 알고리즘은 표준화로 선정되며 초안 문서를 작성하는 중으로 차세대 암호로 주목받고 있다. 하지만 FALCON 알고리즘은 실수 연산을 사용하는 등 임베디드 환경에서 효율적인 성능을 보이지 못하고 있다. 이에 따라 임베디드 하드웨어 가속 연구들이 있으며, 그 중 HLS(High Level Synthesis)를 통한 FPGA 가속 연구들이 있다. 본 논문에서는 FALCON 전자서명 알고리즘에서 HLS 로 구현하는데 어려움이 있었던 서명 생성 함수에 대해 분석하고, 이를 소프트웨어/하드웨어 통합설계를 통해 HLS로 구현하였다. 이는 기존 소프트웨어 대비 약 10배 빠른 연산 속도를 보여주고 있다.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.365-372
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• 2022

Compared to sensors mainly used in human activity recognition (HAR) systems, inertial measurement unit (IMU) sensors are small and light, so can achieve lightweight system at low cost. Therefore, in this paper, we propose a binary neural network (BNN) based gait pattern analysis system using IMU sensor, and present the design and implementation results of an FPGA-based accelerator for computational acceleration. Six signals for gait are measured through IMU sensor, and a spectrogram is extracted using a short-time Fourier transform. In order to have a lightweight system with high accuracy, a BNN-based structure was used for gait pattern classification. It is designed as a hardware accelerator structure using FPGA for computation acceleration of binary neural network. The proposed gait pattern analysis system was implemented using 24,158 logics, 14,669 registers, and 13.687 KB of block memory, and it was confirmed that the operation was completed within 1.5 ms at the maximum operating frequency of 62.35 MHz and real-time operation was possible.

• The Transactions of the Korea Information Processing Society
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• v.13 no.2
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• pp.48-59
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• 2024

As functions that support virtualization on their own in hardware are developed, user applications having various workloads are operating efficiently in the virtualization system. SR-IOV is a virtualization support function that takes direct access to PCI devices, thus giving a high I/O performance by minimizing the need for hypervisor or operating system interventions. With SR-IOV, network I/O acceleration can be realized in virtualization systems that have relatively long I/O paths compared to bare-metal systems and frequent context switches between the user area and kernel area. To take performance advantages of SR-IOV, network resource management policies that can derive optimal network performance when SR-IOV is applied to an instance such as a virtual machine(VM) or container are being actively studied.This paper evaluates and analyzes the network performance of SR-IOV implementing I/O acceleration is compared with Virtio in terms of 1) network delay, 2) network throughput, 3) network fairness, 4) performance interference, and 5) multi-network. The contributions of this paper are as follows. First, the network I/O process of Virtio and SR-IOV was clearly explained in the virtualization system, and second, the evaluation results of the network performance of Virtio and SR-IOV were analyzed based on various performance metrics. Third, the system overhead and the possibility of optimization for the SR-IOV network in a virtualization system with high VM density were experimentally confirmed. The experimental results and analysis of the paper are expected to be referenced in the network resource management policy for virtualization systems that operate network-intensive services such as smart factories, connected cars, deep learning inference models, and crowdsourcing.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.203-213
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• 2009

Medicine is one of great application fields where Virtual Reality (VR) technologies have been successfully utilized. The VR technologies in medicine bring together an interdisciplinary community of computer scientists and engineers, physicians and surgeon, medical educator and students, military medical specialists, and biomedical futurists. The primary feedback of a VR system has been visual feedback. The complex geometry for graphic objects and utilizing hardware acceleration can be incorporated with in order to produce realistic virtual environments. To enhance human-computer interaction (HCI), in term of immersive experiences perceived by users, haptic, speech, olfactory and other non-traditional interfaces should also be exploited. Among those, hapic feedback has been tightly coupled with visual feedback. The combination of the two sensory feedbacks can give users more immersive, realistic and perceptive VR environments. Haptic feedback has been studied over decades and many haptic based VR systems have been developed. This paper focuses on haptic feedback in term of its medical usages. It presents a survey of haptic feedback techniques with their applications in medicine.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1796-1801
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• 2004

IT Technology Paradigm Sift from hardware, software, networking to digital contents. In year 2001, IT small and medium size manufacture occupied 3.8% of gross domestic product(GDP). In the mean time, owing to the acceleration of global competition in information and communication technology, life cycle is reduced and global M&A is increased. The aim of this research is to analyze the performance of potential small and medium sized IT enterprise which can be adapt the change of new paradigm. and Also to work out a program of government's supports plan. Finally, It is to study a better plan that promote a new shape enterprise, which aimed to reform the industrial system. Some kinds of investigation, namely, ground investigation as well as questionnaire are performed in order to analyze not only the results of potential small and medium sized IT enterprise but also it's promoting plans.

• Journal of Korea Multimedia Society
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• v.17 no.1
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• pp.69-76
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• 2014

It is hard to represent massive terrain data in real-time even using recent graphics hardware. In order to process massive terrain data, mesh simplification method such as continuous Level-of-Detail is commonly used. However, existing GPU-based methods using quad-tree structure such as geometry splitting, produce lots of vertices to traverse the quad-tree and retransmit those vertices back to the GPU in each tree traversal. Also they have disadvantage of increase of tree size since they construct the tree structure using texture. To solve the problem, we proposed GPU-base chunked LOD technique for real-time terrain rendering. We restrict depth of tree search and generate chunks with tessellator in GPU. By using our method, we can efficiently render the terrain by generating the chunks on GPU and reduce the computing time for tree traversal.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.886-887
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• 2015

There is a growing interest in and demand for power industry acceleration and energy efficiency due to the increased energy consumption, environmental issues. Electronic power IT convergence industries such as intelligent power system has attract attention as new growth engine industry. A large number of sensors and motors are being installed following unmanned, automated in existing incoming panel management system. Observe the operating conditions and rapid response is essential. Despite the need for immediate action to be taken in the event of various later failed to recognize the emergency power can lead to accidents. In this paper, we propose a new architecture of the implementation of incoming panel monitoring system for power monitoring, fault detection, maintenance and system control using open source hardware platform and Wi-Fi networks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.270-273
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• 2015

In shipbuilding and marine industry, engineering and design software solutions have upgraded from the original 2D schematic data based CAD system to a modern 3D drawing-based system. Due to the fact that the massive amount of data usage in real time and data volumes of various engineering models including graphic data have increased, several problems such as lack of server resources and improper handling of 3D drawings have been raised. Besides, increasing the number of session connections per server can cause deterioration of server performance. Recently, increasing the yard's sophisticated design capabilities highlighted the need to develop engineering and design system which would not only overcome the network performance issues, but would provide efficient collaborative design environment. This paper presents an overview of the framework for collaborative engineering design system based on the virtual application (Citrix XenApp 6.5)and acceleration hardware technology of 3D graphics (NVIDIA GRID K2 solution).