• Title/Summary/Keyword: Computer operation

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Page Replacement Policy for Memory Load Adaption to Reduce Storage Writes and Page Faults (스토리지 쓰기량과 페이지 폴트를 줄이는 메모리 부하 적응형 페이지 교체 정책)

  • Bahn, Hyokyung;Park, Yunjoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.6
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    • pp.57-62
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    • 2022
  • Recently, fast storage media such as phage-change memory (PCM) emerge, and memory management policies for slow disk storage need to be revisited. In this paper, we propose a new page replacement policy that makes use of PCM as a swap device of virtual memory systems. The proposed policy aims at reducing write traffic to the swap device as well as reducing the number of page faults pursued by traditional page replacement policies. This is because a write operation in PCM is slow and PCM has limited write endurances. Specifically, the proposed policy focuses on the reduction of page faults when the memory load of the system is high, but it aims at reducing write traffic to storage when free memory space is sufficient. Simulation experiments with various memory reference traces show that the proposed policy reduces write traffic to PCM without performance degradations.

Windows Artifacts Analysis for Collecting Cryptocurrency Mining Evidence (암호화폐 채굴 증거 수집을 위한 윈도우 아티팩트 분석 기술 연구)

  • Si-Hyeon Park;Seong-Hun Han;Won-hyung Park
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.121-127
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    • 2022
  • Recently, social issues related to cryptocurrency mining are continuously occurring at the same time as cryptocurrency prices are rapidly increasing. In particular, since cryptocurrency can be acquired through cryptographic operation, anyone with a computer can easily try mining, and as the asset value of major cryptocurrencies such as Bitcoin and Ethereum in creases, public interest is increasing. In addition, the number of cases where individuals who own high-spec computers mine cryptocurrencies in various places such as homes and businesses are increasing. Some miners are mining at companies or public places, not at home, due to the heat problem of computers that consume a lot of electrical energy, causing various problems in companies as well as personal moral problems. Therefore, this study studies the technology to obtain evidence for the traces of mining attempts using the Windows artifacts of the computers that mined cryptocurrency. Through this, it is expected that it can be used for internal audit to strengthen corporate security.

A Design and Demonstration of Future Technology IT Humanities Convergence Education Model (미래기술 IT인문학 융복합 교육모델 설계 및 실증)

  • Eunsun Choi;Namje Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.159-166
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    • 2023
  • Humanities are as crucial as the technology itself in the intelligent information society. Human-centered convergence information technology (IT), which reflects emotional and human nature, can be considered a unique technology with an optimistic outlook in the unpredictable future. Based on this research background, this paper proposed an education model that can improve the IT humanities capabilities of various learners, including elementary and secondary students, prospective teachers, incumbent teachers, school managers, and the general public, through analysis of previous studies on convergence education models. Furthermore, the practical aspects of the proposed model were closely examined so that the proposed education model could be stably incorporated and utilized in the educational field. There are seven strategies for implementing the education model proposed in this paper, including research on textbooks, teaching and learning materials, activation of research results, maker space creation, global joint research, online education operation, developing living lab governance, and diversification of self-sustaining platforms for sustainable and practical education. In the future, validity verification through expert Delphi is required as a follow-up study.

Time-dependent Parametric Analyses of PSC Composite Girders for Serviceability Design (사용성 설계를 위한 PSC 합성거더교의 시간의존적 변수해석)

  • Youn, Seok-Goo;Cho, Sun-Kyu;Lee, Jong-Min
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5A
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    • pp.823-832
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    • 2006
  • To ensure the serviceability requirements of PSC composite girder bridges, it is essential to predict the stresses and deformations of the structure under service load conditions. Stresses and deformations vary continuously with time due to the effects of creep and shrinkage of concrete and relaxation of prestressing steel. The importance of these time-dependent effects is much more pronounced in precast prestressed concrete structures built in stages than in those constructed in one operation. In this paper, time-dependent analyses for PSC composite bridges using 30m standard girders have been conducted considering with the variation of the times of introducing initial prestressing forces and casting concrete. A computer program has been developed for the time-dependent analysis of simple or continuous PSC composite girders and parametric studies are conducted. Based on the numerical results, it is investigated the long-term behaviors of PSC composite girder bridges and discussed the limitations of the current codes for the prestress loss.

Analysis of Visual Distortion and Suggestion of Design Criteria at Curve Sections (곡선부 시각왜곡현상 분석 및 설계기법 제시)

  • Ha, Tae-Jun;Jeong, Jun-Hwa;Lee, Jeong-Hwan;Lee, Suk-Ki
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.6D
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    • pp.663-673
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    • 2009
  • Driver's perceived curve radius is different from actual curve radius at curve sections. This is called visual distortion. It has effect on operation speed according to driver's perception and finally bad effect on safety at curve sections. At present, however, there is no research on quantitatively analysis of visual distortion and no criteria for curve section design considering the visual distortion. Therefore, this study focus on finding degree of visual distortion and suggesting design criteria by visual distortion analysis. The process of this study is as below; First, a calculaiton model of perceived curve radius was developed by survey using computer simulation. In this model, a dependent variable is perceived curve radius and an independent variable is geometric factors. Second, degree of visual distortion was calculated from ratio of perceived curve radius to actual curve radius. Finally, design criteria were suggested through influencing factor analysis of visual distortion at curve sections.

A Study on the Activation of Vocational Training Exploiting Company Oriented Qualification (기업 맞춤형 자격 제도를 통한 직업훈련 활성화 방안 연구)

  • Sang-Bong Lee;Eun-Hae Kim;Seung-Hwan Jeon;Byungil Jang;Jun-Ki Min
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.259-271
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    • 2023
  • The purpose of this study is to prepare a plan to activate vocational training through a company-customized qualification system that meets the needs of the industry and responds promptly to changes in the external environment and trends. The BRIDGE 3.0 model was presented as Establishment of qualification system based on education and training result certification, a customized qualification operation system based on local companies by setting the qualification system as a strategy centered on companies that are consumers. To this end, the current status and limitations of vocational competency development projects, the current status and limitations of the domestic qualification system, government policies related to vocational competency development, FGI of corporate personnel managers, surveys of personnel managers of SME, expert advice.

Efficient Methods of Tactical Situation Display for Tactical Analysis Tool of P-3C Maritime Patrol Aircraft (P-3C 해상초계기 전술분석도구를 위한 전술 상황표시기의 효율적 전시 기법)

  • Byoung-Kug Kim;Yonghoon Cha;Sung-Hwa Hong;Jaeho Lee
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.495-501
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    • 2023
  • P-3C/K aircraft for maritime patrols that Republic of Korea Navy is using, is equipped with a variety of sensors and communication devices. Collected data from the aircraft is managed as tactical information by flight operators and stored. When the flight mission is completed, this information is transferred to tactical support center on the ground and played back or used for follow-up work through a analysis tool. During a flight mission, there are tens of thousands of detection objects within an hour in KADIZ (Korea air defense identification zone). In contrast, in TSD (tactical situation display), which displays a map when using the analysis tool, all detected objects are expressed as symbols. The increase in display symbols has a significant impact on the TSD image updating and consequently interferes with the smooth operation of operators. In this paper, we propose applying multiple threads and multiple layers to improve the performance of existing TSD. And the performance improvement is proven through the execution results.

A Study on Software and Artificial Intelligence Education Camp Operation (소프트웨어와 인공지능 교육캠프 운영에 관한 연구)

  • Keun-Ho Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.4
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    • pp.71-75
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    • 2023
  • Changes in modern society are resulting in the emergence of various service models that apply software and artificial intelligence, and all fields are rapidly changing based on software and artificial intelligence. Education on software and artificial intelligence is emerging as a major influencing factor that determines national competitiveness. Following these social changes, interest in the use of software and artificial intelligence is quite high. Starting in 2025, software and artificial intelligence-related curricula are scheduled to be introduced into public education in elementary, middle, and high schools, so many educational activities are becoming active. In this study, based on the content of operating the software and artificial intelligence experience activity program, we would like to propose the efficiency of future learning programs and operating methods for software and artificial intelligence.

Multimodal Medical Image Fusion Based on Double-Layer Decomposer and Fine Structure Preservation Model (복층 분해기와 상세구조 보존모델에 기반한 다중모드 의료영상 융합)

  • Zhang, Yingmei;Lee, Hyo Jong
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.6
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    • pp.185-192
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    • 2022
  • Multimodal medical image fusion (MMIF) fuses two images containing different structural details generated in two different modes into a comprehensive image with saturated information, which can help doctors improve the accuracy of observation and treatment of patients' diseases. Therefore, a method based on double-layer decomposer and fine structure preservation model is proposed. Firstly, a double-layer decomposer is applied to decompose the source images into the energy layers and structure layers, which can preserve details well. Secondly, The structure layer is processed by combining the structure tensor operator (STO) and max-abs. As for the energy layers, a fine structure preservation model is proposed to guide the fusion, further improving the image quality. Finally, the fused image can be achieved by performing an addition operation between the two sub-fused images formed through the fusion rules. Experiments manifest that our method has excellent performance compared with several typical fusion methods.

Artificial Neural Network-based Thermal Environment Prediction Model for Energy Saving of Data Center Cooling Systems (데이터센터 냉각 시스템의 에너지 절약을 위한 인공신경망 기반 열환경 예측 모델)

  • Chae-Young Lim;Chae-Eun Yeo;Seong-Yool Ahn;Sang-Hyun Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.883-888
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    • 2023
  • Since data centers are places that provide IT services 24 hours a day, 365 days a year, data center power consumption is expected to increase to approximately 10% by 2030, and the introduction of high-density IT equipment will gradually increase. In order to ensure the stable operation of IT equipment, various types of research are required to conserve energy in cooling and improve energy management. This study proposes the following process for energy saving in data centers. We conducted CFD modeling of the data center, proposed an artificial intelligence-based thermal environment prediction model, compared actual measured data, the predicted model, and the CFD results, and finally evaluated the data center's thermal management performance. It can be seen that the predicted values of RCI, RTI, and PUE are also similar according to the normalization used in the normalization method. Therefore, it is judged that the algorithm proposed in this study can be applied and provided as a thermal environment prediction model applied to data centers.