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Design, Automation and Test in Europe Conference and Exhibition

作者： Ki-Dong Kang Gyeongseo Park Daehoon Kim Future Computing Research Division ETRI Daejeon Republic of Korea Department of Systems Semiconductor Engineering Yonsei University Seoul Republic of Korea

ISBN: (数字)9783982674100

ISBN: (纸本)9798331534646

Improving energy efficiency to reduce costs in server environments has attracted considerable attention. Considering that processors account for a significant portion of energy consumption in servers, Dynamic Voltage and Frequency Scaling (DVFS) enhances their energy efficiency by adjusting the operational speed and power consumption of processors. Additionally, modern high-end processors extend DVFS functionality not only to core components but also to uncore parts. This is because the increasing complexity and integration of System on Chips (SoCs) have highlighted the substantial energy consumption. However, existing uncore voltage/frequency scaling fails to effectively consider Latency-Critical (LC) applications, leading to sub-optimal energy efficiency or degraded performance. In this paper, we introduce Co-UP, power management that simultaneously scales core and uncore frequencies for latency-critical applications, designed to improve energy efficiency without violating Service Level Objectives (SLOs). To this end, Co-UP incorporates a prediction model that estimates outcomes of energy consumption and performance as uncore and core frequency changes. Based on the estimated gains, Co-UP adjusts to uncore and/or core frequencies to further enhance energy efficiency or performance. This predictive model can rapidly adapt to new and unlearned loads, enabling Co-UP to operate online without any prior profiling. Our experiments show that Co-UP can reduce energy consumption by up to 28.2% compared to existing Intel's policy and up to 17.6% compared to state-of-the-art power management studies, without SLO violations.

关键词： Energy consumption Program processors Costs Power system management Predictive models Energy efficiency Frequency estimation Servers Voltage control Frequency control

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A geographic information system-based modelling, analysing and visualising of low voltage networks: The potential of demand time-shifting in the power quality improvement

arXiv

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arXiv 2023年

作者： Antić, Tomislav Capuder, Tomislav University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

The challenges of power quality are an emerging topic for the past couple of years due to massive changes occurring in low voltage distribution networks, being even more emphasized in the years marked by the novel COVID-19 disease affecting people’s behaviour and energy crisis increasing the awareness and need of end-users energy independence. Both of these phenomena additionally stress the need for changes in the planning and operation of distribution networks as the traditional consumption patterns of the end-users are significantly different. To overcome these challenges it is necessary to develop tools and methods that will help Distribution System Operators (DSOs). In this paper, we present a geographic information system (GIS)based tool that, by using open source technologies, identifies and removes errors both in the GIS data, representing a distribution network, and in the consumption data collected from the smart meters. After processing the initial data, a mathematical model of the network is created, and the impact of COVID-19-related scenarios on power quality (PQ) indicators voltage magnitude, voltage unbalance factor (VUF), and total voltage harmonic distortion (THDu) are calculated using the developed harmonic analysis extension of the pandapower simulation tool. The analyses are run on a real-world low voltage network and real consumption data for different periods reflecting different COVID-19-related periods. The results of simulations are visualised using a GIS tool, and based on the results, time periods that are most affected by the change of end-users characteristial behaviour are detected. The potential of the end-users in the PQ improvement is investigated and an algorithm that shifts consumption to more adequate time periods is implemented. After modifying the consumption curve, power quality analysis is made for newly created scenarios. The results show that the pandemic negatively affect all analysed PQ indicators since the change in the a

关键词： Power quality

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Empirical Evaluation of the Two-Ray Model for mmWave Overwater Communication 1

Empirical Evaluation of the Two-Ray Model for mmWave Overwat...

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1st IEEE Latin American Conference on Antennas and Propagation, LACAP 2024

作者： Celades, Jorge Rodriguez, Mauricio Gaitan, Miguel Gutierrez Pontificia Universidad Católica de Valparaíso Escuela de Ingeniería Eléctrica Chile CISTER - Research Centre in Real-Time & Embedded Computing Systems Porto Portugal Pontificia Universidad Católica de Chile Department of Electrical Engineering Chile

ISBN: (纸本)9798331527587

Understanding and characterizing millimeter wave (mmWave) communication in real-world scenarios is crucial to design reliable communication systems for Internet of Things (IoT) applications, including autonomous vessel's remote operation. To this aim, this research provides an empirical evaluation of large-scale fading for vessel-to-shore communication at 28 GHz. Specifically, we experimentally assess the path loss (PL) performance of short-range Line-of-Sight (LoS) links with low antenna heights. The measurements show trends that match well with the two-ray model PL predictions, yielding a root mean square error (RMSE) of 2.56 dB in the 10-100 m range. © 2024 IEEE.

关键词： large-scale fading mmWave overwater communication path-loss two-ray model

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An Advanced Intrusion Detection Solution for Networks based on Honeypot Servers 6

An Advanced Intrusion Detection Solution for Networks based ...

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6th International Conference on Inventive Computation Technologies, ICICT 2023

作者： Veena, K. Meena, K. Mercy Theresa, M. Hemalatha, C. Rajalakshmi, D. Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai600119 India Department of Computer Science and Engineering GITAM School of Technology GITAM Bangalore561203 India Department of Data Science and Business Systems School of Computing College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Chennai603203 India Computer Science and Engineering Sri Sairam Institute of Technology Chennai India

ISBN: (纸本)9798350398496

Network security is a critical issue in modern technology. Honey pot-based intrusion detection methods provide an additional layer of security and enhance network performance by analyzing hacker behaviour and detecting unauthorized clients. IP validation and vulnerability detection are used to ensure authorized customer access and prevent illegal client activity. A voice recognition system detects malicious attacks in stage two. If authorized, packets are passed to the server, otherwise, they are delivered to honeypot servers. Using Naive Bayes algorithm, the detection rate is 85.06% with an accuracy of 98.18% and a false alarm rate of 0.15 seconds. © 2023 IEEE.

关键词： Network security

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Wind Driven Optimization-Based Medical Image Encryption for Blockchain-Enabled Internet of Things Environment

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Computers, Materials & Continua 2022年第11期73卷 3219-3233页

作者： C.S.S.Anupama Raed Alsini N.Supriya E.Laxmi Lydia Seifedine Kadry Sang-Soo Yeo Yongsung Kim Department of Electronics&Instrumentation Engineering V.R.Siddhartha Engineering CollegeVijayawada520007India Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science and Engineering Malla Reddy Engineering College(A)Hyderabad500100India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Applied Data Science Noroff University College4612KristiansandNorway Department of Computer Engineering Mokwon UniversityDaejeon35349Korea Department of Technology Education Chungnam National University 99Daehak-roYuseong-guDaejeon34134Korea

Internet of Things(IoT)and blockchain receive significant interest owing to their applicability in different application areas such as healthcare,finance,transportation,*** image security and privacy become a critical part of the healthcare sector where digital images and related patient details are communicated over the public *** paper presents a new wind driven optimization algorithm based medical image encryption(WDOA-MIE)technique for blockchain enabled IoT *** WDOA-MIE model involves three major processes namely data collection,image encryption,optimal key generation,and data ***,the medical images were captured from the patient using IoT ***,the captured images are encrypted using signcryption *** addition,for improving the performance of the signcryption technique,the optimal key generation procedure was applied by WDOA *** goal of the WDOA-MIE algorithm is to derive a fitness function dependent upon peak signal to noise ratio(PSNR).Upon successful encryption of images,the IoT devices transmit to the closest server for storing it in the blockchain *** performance of the presented method was analyzed utilizing the benchmark medical image *** security and the performance analysis determine that the presented technique offers better security with maximum PSNR of 60.7036 dB.

关键词： Internet of things image security medical images encryption optimal key generation blockchain

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Co-UP: Comprehensive Core and Uncore Power Management for Latency-Critical Workloads

Co-UP: Comprehensive Core and Uncore Power Management for La...

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2025 Design, Automation and Test in Europe Conference, DATE 2025

作者： Kang, Ki-Dong Park, Gyeongseo Kim, Daehoon Etri Future Computing Research Division Daejeon Korea Republic of Yonsei University Department of Systems Semiconductor Engineering Seoul Korea Republic of

ISBN: (纸本)9783982674100

关键词： Energy utilization

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An IoT-enabled monitoring and control system for electrochromic smart windows

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Discover Internet of Things 2024年第1期4卷 1-18页

作者： Koay, Hsien-Hern Thien, Gregory Soon How Au, Benedict Wen-Cheun Abdelhamed, Abdelrahman Hamed Ebrahem Balachandran, Ruthramurthy Ng, Zi-Neng Chan, Kah-Yoong Centre for Advanced Devices and Systems Faculty of Engineering Multimedia University Selangor Cyberjaya63100 Malaysia Micron Semiconductor Asia Operations Pte Ltd. 1 North Coast Drive Singapore757432 Singapore Sri Desa International Secondary School Taman Desa Kuala Lumpur58100 Malaysia Department of Electronics and Communication Engineering School of Electrical Engineering and Computing Adama Science and Technology University P O Box 1888 Adama Ethiopia School of Electrical Engineering and Artificial Intelligence Xiamen University Malaysia Jalan Sunsuria Bandar Sunsuria Selangor Sepang43900 Malaysia

Electrochromic (EC) smart windows are highly efficient in preventing solar irradiation. Nevertheless, an insufficient automated monitoring and control system for EC windows has been observed. This study outlined the framework for designing a control system that effectively regulated the voltage polarity of an EC smart window. Integrating Internet of Things (IoT) capabilities and environmental sensors enhanced the smart window control system. This integration allowed for automated monitoring and adjustment of light intensity (below and above 30,000 lx), temperature (below and above 32 °C), and UV index (below 3 and above 7) for the smart window. The magnitude of the current supplied from the output load of the operational circuit module was directly correlated with the switching time of the electrochromic window. Moreover, voltage fluctuation was observed during the evaluation testing of the control system, which was ascribed to the reliability of the breadboard platform. This study also provided a functional design analysis for a Wi-Fi-enabled control system, presented insights into manual and automatic control modes under diverse environmental conditions, and improved user interaction through real-time data visualization using the IoT Blynk platform. Overall, this study presented a range of cost-effective approaches for managing the dynamic EC window using Wi-Fi and sensor-enabled technology. © The Author(s) 2024.

关键词： Wi-Fi

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UWB Pulse Shaping Filters Forming Flat-Spectrum Gaussian Pulses 47

UWB Pulse Shaping Filters Forming Flat-Spectrum Gaussian Pul...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Miloš, Ante Molnar, Goran Vučić, Mladen Ericsson Nikola Tesla D.d. Research And Development Centre Radio Development Unit Krapinska 45 Zagreb10000 Croatia University Of Zagreb Faculty Of Electrical Engineering And Computing Department Of Electronic Systems And Information Processing Unska 3 Zagreb10000 Croatia

ISBN: (纸本)9798350382495

Ultra-wideband (UWB) radio utilizes narrow pulses that satisfy given spectral masks. These pulses should fill the masks efficiently. In addition, their waveforms should exhibit high energy concentrations. One class of such pulses, called flat-spectrum Gaussian pulses, has recently been developed. This class describes ideal pulses. However, their implementation in UWB pulse generators requires circuits that perform pulse shaping. One approach for such shaping is filtering. In this context, we present transfer functions of continuous time filters whose impulse responses approximate the ideal flat-spectrum Gaussian pulses. We consider the pulses with various degrees of flatness, compliant with the FCC masks. To obtain filters' transfer functions, the least-squares error criterion is used. The optimum transfer functions are found by using a known method for time-domain synthesis of continuous time systems based on second-order cone programming. They are provided in the form of zero-pole-gain models. © 2024 IEEE.

关键词： Transfer functions

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Low-to-High Resolution Path Planner for Robotic Gas Distribution Mapping

Low-to-High Resolution Path Planner for Robotic Gas Distribu...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Rohit V. Nanavati Callum Rhodes Matthew J. Coombes Cunjia Liu Department of Aeronautical and Automotive Engineering Center of Autonomous Systems Loughborough University United Kingdom Department of Computing Imperial College London United Kingdom

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Robotic gas distribution mapping improves the understanding of a hazardous gas dispersion while putting the human operator out of danger. Generating an accurate gas distribution map quickly is of utmost importance in situations such as gas leaks and industrial incidents, so that the efficient use of resources in response to incidents can be facilitated. In this paper, to incorporate the operational requirement on map granularity, we propose a low-to-high resolution path planner that first guides a single robots to quickly and sparsely sample the region of interest to generate a low resolution gas distribution map, followed by high resolution sampling informed by the low resolution map as a prior. The low resolution prior acts as a coverage survey allowing the algorithm to perform a relatively exploitative search of high concentration regions, resulting in overall shorter mission times. The proposed framework is designed to iteratively identify the next best T locations to sample, which prioritises the potentially high reward locations, while ensuring that the robot can travel to and sample the chosen locations within a user specified map update cycle. We present a simulation study to demonstrate the alternating exploration-exploitation like behaviour along with bench-marking its performance in contrast to the traditional sampling path planners and various reward functions.

关键词： Surveys Accuracy Service robots Dispersion

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Line Parameter and Switching State Identification Method for Radial and Meshed Distribution Networks

Line Parameter and Switching State Identification Method for...

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International Conference on Smart Energy systems and Technologies (SEST)

作者： Terezija Matijašević Tomislav Antić Tomislav Capuder Department of Energy and Power Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

Current major changes in distribution systems require better monitoring from energy utilities to prevent possible issues in the form of deterioration of power quality and stability, voltage oscillations, and many others. However, distribution networks are still characterized by their limited observability, where information such as switching state and line parameters are not known. This constraint further complicates analyses concerning the observations of distribution networks. Therefore, this paper proposes a methodology that, as an answer to these problems, offers machine learning-based algorithms that aim to determine the switching state and line parameters of distribution networks using only collected historical Advanced Metering Infrastructure (AMI) measurements. This model was tested on the radial IEEE 33-bus benchmark system and both meshed and radial real-world distribution networks. The results demonstrate that the proposed method can provide an accurate estimation of line parameters and network topology relying only on voltage magnitudes and active and reactive power measurements.

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