• Title/Summary/Keyword: Time delay method

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VDI deployment and performance analysys for multi-core-based applications (멀티코어 기반 어플리케이션 운용을 위한 데스크탑 가상화 구성 및 성능 분석)

  • Park, Junyong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.10
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    • pp.1432-1440
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    • 2022
  • Recently, as Virtual Desktop Infrastructure(VDI) is widely used not only in office work environments but also in workloads that use high-spec multi-core-based applications, the requirements for real-time and stability of VDI are increasing. Accordingly, the display protocol used for remote access in VDI and performance optimization of virtual machines have also become more important. In this paper, we propose two ways to configure desktop virtualization for multi-core-based application operation. First, we propose a codec configuration of a display protocol with optimal performance in a high load situation due to multi-processing. Second, we propose a virtual CPU scheduling optimization method to reduce scheduling delay in case of CPU contention between virtual machines. As a result of the test, it was confirmed that the H.264 codec of Blast Extreme showed the best and stable frame, and the scheduling performance of the virtual CPU was improved through scheduling optimization.

Hazard Evaluation of Minimum Ignition Energy by Electrostatic Voltage in Suspended Dust Particles (부유 분진의 정전압에 의한 최소착화에너지 위험성평가)

  • Han, Oue-Sup
    • Korean Chemical Engineering Research
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    • v.59 no.3
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    • pp.359-365
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    • 2021
  • We investigated experimentally the ignition characteristic of dust and the hazard evaluating for electrostatic discharge. The ignition energy experiments were performed on sample dusts such as PE(HD), PE(LD), PMMA using the MIKE-3 apparatus. The formation of flame during the ignition of PE(HD) dust clouds occurred after the delay time of about 8 ms, and the flame kernels were not observed in center of ignition occurrence area. The voltage increased with increasing the number of dust dispersions and the increase rate of measured voltage with dust concentration was the highest in the order of PMMA, PE(LD) and PE(HD). For the effect of dispersion condition on the voltage in PE(HD) dust, the results were obtained that the voltage increased as the number of dispersions increased and as the concentration increased under the same dispersion number. The safety voltages to prevent fire and explosions by electrostatic ignition were estimated that PE(HD), PE(LD)-1, PE(LD)-2, and PMMA were 2.58, 44.72, 25.82, and 8.16 kV, respectively. We proposed the method for estimating the minimum ignition energy by using the measured voltage data for efficient investigation of electrostatic ignition hazard.

A Tombstone Filtered LSM-Tree for Stable Performance of KVS (키밸류 저장소 성능 제어를 위한 삭제 키 분리 LSM-Tree)

  • Lee, Eunji
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.4
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    • pp.17-22
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    • 2022
  • With the spread of web services, data types are becoming more diversified. In addition to the form of storing data such as images, videos, and texts, the number and form of properties and metadata expressing the data are different for each data. In order to efficiently process such unstructured data, a key-value store is widely used for state-of-the-art applications. LSM-Tree (Log Structured Merge Tree) is the core data structure of various commercial key-value stores. LSM-Tree is optimized to provide high performance for small writes by recording all write and delete operations in a log manner. However, there is a problem in that the delay time and processing speed of user requests are lowered as batches of deletion operations for expired data are inserted into the LSM-Tree as special key-value data. This paper presents a Filtered LSM-Tree (FLSM-Tree) that solves the above problem by separating the deleted key from the main tree structure while maintaining all the advantages of the existing LSM-Tree. The proposed method is implemented in LevelDB, a commercial key-value store and it shows that the read performance is improved by up to 47% in performance evaluation.

A Study on Methods for Efficient Enterprise Software Patch Management

  • Kang, Chang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.12
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    • pp.179-188
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    • 2022
  • In this paper, we propose an efficient and procedural software patch management phases. Every year, organizations have tens of thousands of known vulnerabilities and spend tens of thousands of hours and millions of dollars or more patching them. Despite these efforts, research has shown that the time it takes for an exploit to appear for a given patched vulnerability is shortening. As various types of organizations such as companies and universities manage patches in inconsistent ways, problems such as security problems, system instability, information leakage and work delay due to patches occur. In this paper, we look at the basics required for software patch management and define the factors to be considered for patch management and the effective steps for patch management. Therefore, this study will be used as a method to efficiently and procedurally execute the organization's patch management policy in the process of updating and patching the software in the organization to a new version as a solution to software function modification and security vulnerability.

A Study on the Maintenance Data Analysis of Vehicle Parts of Yongin Light Rail and Condition-Based Prediction Maintenance (용인경전철 차량부품 정비 데이터 분석 및 상태기반 예지 유지보수 방안 연구)

  • Lee, Kyeong Ho;Lee, Joong Yoon;Kim, Yeong Min
    • Journal of the Korean Society of Systems Engineering
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    • v.18 no.1
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    • pp.1-13
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    • 2022
  • The Yongin Light Rail train was manufactured by Bombardier Transportation in Canada in 2008 and is a privately invested railway line that has been operating in Yongin-si, Gyeonggi-do, since 2013. When the frequency of train failure increases due to aging, and there is a delay in the delivery period of imported parts used in the Bombardier manufactured trains, timely vehicle maintenance may not be performed due to lack of parts. To solve this problem, it is necessary to build a 'vehicle parts maintenance demand forecasting system' that analyzes the accurate and actual maintenance demand annual based on the condition of vehicle parts. The full scope of analysis in this paper analyzes failure data from various angles after opening of Yongin light rail vehicle to analyze failure patterns for each part and identify replacement cycles according to possible failures and consumption of parts. Based on this study, it is expected that Yongin Light Rail's maintenance system will change from the existing time-based replacement (TBM) concept to the condition-based maintenance (CBM) concept. It is expected that this study will improve the efficiency of the Yongin Light Rail maintenance system and increase vehicle availability. This paper is a fundamental for establishing of a system for predicting the replacement timing of vehicle parts for Yongin Light Rail. It reports the results of data analysis on some vehicle parts.

A Study on the Status of Non-face-to-face software education (비대면 원격 소프트웨어교육의 실태 연구)

  • Moon, Juyoung;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.187-192
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    • 2021
  • The purpose of this study is a method to discover problems and improve them by analyzing the status of software education of A primary school conducted by online class. The coronavirus infection-19(COVID-19) pandemic, which began in early 2020, has continued to delay the start of the new semester. Finally, on April 9, 2020, the first semester began with online class. While progressing non-face to face online class, most students said they had difficulties. Students solved difficulties in class with Internet searches or program hints, not teachers. In the post-class self-evaluation, most students answered that there was no increase in coding skills. To solve this problem, the school rents additional smart devices to student. schools should have real-time interactive classes. After covid 19, online class became a paradigm for classes. Therefore, software education will also require research and development of curriculum and teaching learning methods suitable for online classes.

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Assessment and Monitoring of Structural Damage Using Seismic Wave Interferometry (탄성파 간섭법 탐사를 이용한 건축물 손상 평가 및 모니터링)

  • In Seok Joung;AHyun Cho;Myung Jin Nam
    • Geophysics and Geophysical Exploration
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    • v.27 no.2
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    • pp.144-153
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    • 2024
  • Recent research is increasingly focused on utilizing seismic waves for structure health monitoring (SHM). Specifically, seismic interferometry, a technique applied in geophysical surveys using ambient noise, is widely applied in SHM. This method involves analyzing the response of buildings to propagating seismic waves. This enables the estimation of changes in structural stiffness and the evaluation of the location and presence of damage. Analysis of seismic interferometry applied to SHM, along with case studies, indicates its highly effective application for assessing structural stability and monitoring building conditions. Seismic interferometry is thus recognized as an efficient approach for evaluating building integrity and damage detection in SHM and monitoring applications.

Implementation of Web-based Remote Multi-View 3D Imaging Communication System Using Adaptive Disparity Estimation Scheme (적응적 시차 추정기법을 이용한 웹 기반의 원격 다시점 3D 화상 통신 시스템의 구현)

  • Ko Jung-Hwan;Kim Eun-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.1C
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    • pp.55-64
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    • 2006
  • In this paper, a new web-based remote 3D imaging communication system employing an adaptive matching algorithm is suggested. In the proposed method, feature values are extracted from the stereo image pair through estimation of the disparity and similarities between each pixel of the stereo image. And then, the matching window size for disparity estimation is adaptively selected depending on the magnitude of this feature value. Finally, the detected disparity map and the left image is transmitted into the client region through the network channel. And then, in the client region, right image is reconstructed and intermediate views be synthesized by a linear combination of the left and right images using interpolation in real-time. From some experiments on web based-transmission in real-time and synthesis of the intermediate views by using two kinds of stereo images of 'Joo' & 'Hoon' captured by real camera, it is analyzed that PSNRs of the intermediate views reconstructed by using the proposed transmission scheme are highly measured by 30dB for 'Joo', 27dB for 'Hoon' and the delay time required to obtain the intermediate image of 4 view is also kept to be very fast value of 67.2ms on average, respectively.

Design and Implementation of Multiple Filter Distributed Deduplication System Applying Cuckoo Filter Similarity (쿠쿠 필터 유사도를 적용한 다중 필터 분산 중복 제거 시스템 설계 및 구현)

  • Kim, Yeong-A;Kim, Gea-Hee;Kim, Hyun-Ju;Kim, Chang-Geun
    • Journal of Convergence for Information Technology
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    • v.10 no.10
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    • pp.1-8
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    • 2020
  • The need for storage, management, and retrieval techniques for alternative data has emerged as technologies based on data generated from business activities conducted by enterprises have emerged as the key to business success in recent years. Existing big data platform systems must load a large amount of data generated in real time without delay to process unstructured data, which is an alternative data, and efficiently manage storage space by utilizing a deduplication system of different storages when redundant data occurs. In this paper, we propose a multi-layer distributed data deduplication process system using the similarity of the Cuckoo hashing filter technique considering the characteristics of big data. Similarity between virtual machines is applied as Cuckoo hash, individual storage nodes can improve performance with deduplication efficiency, and multi-layer Cuckoo filter is applied to reduce processing time. Experimental results show that the proposed method shortens the processing time by 8.9% and increases the deduplication rate by 10.3%.

Performance Analysis of a Statistical Packet Voice/Data Multiplexer (통계적 패킷 음성 / 데이터 다중화기의 성능 해석)

  • 신병철;은종관
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.11 no.3
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    • pp.179-196
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    • 1986
  • In this paper, the peformance of a statistical packet voice/data multiplexer is studied. In ths study we assume that in the packet voice/data multiplexer two separate finite queues are used for voice and data traffics, and that voice traffic gets priority over data. For the performance analysis we divide the output link of the multiplexer into a sequence of time slots. The voice signal is modeled as an (M+1) - state Markov process, M being the packet generation period in slots. As for the data traffic, it is modeled by a simple Poisson process. In our discrete time domain analysis, the queueing behavior of voice traffic is little affected by the data traffic since voice signal has priority over data. Therefore, we first analyze the queueing behavior of voice traffic, and then using the result, we study the queueing behavior of data traffic. For the packet voice multiplexer, both inpur state and voice buffer occupancy are formulated by a two-dimensional Markov chain. For the integrated voice/data multiplexer we use a three-dimensional Markov chain that represents the input voice state and the buffer occupancies of voice and data. With these models, the numerical results for the performance have been obtained by the Gauss-Seidel iteration method. The analytical results have been verified by computer simylation. From the results we have found that there exist tradeoffs among the number of voice users, output link capacity, voic queue size and overflow probability for the voice traffic, and also exist tradeoffs among traffic load, data queue size and oveflow probability for the data traffic. Also, there exists a tradeoff between the performance of voice and data traffics for given inpur traffics and link capacity. In addition, it has been found that the average queueing delay of data traffic is longer than the maximum buffer size, when the gain of time assignment speech interpolation(TASI) is more than two and the number of voice users is small.

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