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47th ICT and Electronics Convention, MIPRO 2024

作者： Vulić, Lukrecia Kaučić, Luka Aleksi, Ivan Matić, Tomislav Computer Science And Information Technology Osijek Faculty Of Electrical Engineering Osijek Croatia

ISBN: (纸本)9798350382495

In today's modern world, efficient programming is a necessity. To speed up code generation nowadays, programming code is generated using different graphical tools. Although efficient, this technology is scarcely used in embedded system development. In this paper, we present a procedure for block-based visual programming with applications in embedded systems development. We present several examples of blocks using the Blockly open-source visual programming tool and test the implementation on selected Infineon XMC-based boards. The presented programming solution shows successful implementation of block-based visual programming in embedded systems development. © 2024 IEEE.

关键词： Embedded systems

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An Efficient Convolutional Neural Network Hardware IP for Epilepsy Detection 17

An Efficient Convolutional Neural Network Hardware IP for Ep...

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17th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2024

作者： Gong, Yi Zhang, Yuejun Tu, Jiangtao Zou, Rongxin Wen, Liang Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China

ISBN: (纸本)9798350361834

Epilepsy is a common neurological disease which is sudden and unpredictable. In response to the current problems of low efficiency and high false detection rate in epilepsy detection, this paper proposes an efficient convolutional neural network (CNN) hardware intellectual property (IP) design scheme for epilepsy detection. According to the epilepsy pathology, the oversampling technique is used to solve the sample imbalance. Filters out the noise by using band-pass filters, and improves the model by using Z-score normalization. Then, the structure of convolutional neural network is optimized to build an end-to-end network model and train the corresponding weights as well as biases. A single convolutional kernel is used to lighten the network model and reduce the parameters. The 22-channel EEG data are processed in a parallelized manner to fully extract the correlation between the channels. The 3-layer convolutional and max pooling module is designed by combining with pipelining technique. Validated on the CHB-MIT dataset, the epilepsy detection accuracy is reached 97.45%. Under TSMC 65 nm process, the IP core area is measured as 1.625 mm 2 , power consumption is measured as 4.225 mW, single detection delay is 0.01935 ms, and single detection energy consumption is 0.237 μJ/class. © 2024 IEEE.

关键词： Convolutional neural networks

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Area-Aware Logic Mapping for MAGIC based In-Memory Computing 20

Area-Aware Logic Mapping for MAGIC based In-Memory Computing

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20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024

作者： Pan, Jiaxiang Chu, Zhufei Ningbo University Faculty of Electrical Engineering & Computer Science Ningbo315211 China

ISBN: (纸本)9798350351927

In-memory computing offers promising prospects for data-intensive applications, with memristor-aided logic (MAGIC) presenting a notable avenue. Logic synthesis for MAGIC-based systems entails mapping Boolean functions to memristor crossbars, where previous efforts often suffer from accurately evaluating multi-fanout node costs. In this paper, we propose a heuristic logic mapping method tailored for MAGIC-based in-memory computing, specifically addressing multi-fanout nodes' challenges. In addition, we also propose an automated equivalence checking methodology aimed at validating the correspondence between the design specification and the resulting micro-operations post-mapping. Our proposed method yields substantial improvements, with an average reduction of 13% and 10% in the requisite non-volatile memory when compared to state-of-the-art techniques across the ISCAS'85 and IWLS'93 benchmarks. Remarkably, these enhancements are achieved with only marginal increases of 1% and 2% in the required computation cycles. © 2024 IEEE.

关键词： Memristors

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Optimization of Cooperative RelayingMolecular Communications for Nanomedical Applications

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computer Modeling in engineering & sciences 2024年第2期138卷 1259-1275页

作者： Eman S.Attia Ashraf A.M.Khalaf Fathi E.Abd El-Samie Saied M.Abd El-atty Konstantinos A.Lizos Osama Alfarraj Heba M.El-Hoseny Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61111Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Informatics Faculty of Mathematics and Natural SciencesUniversity of Oslo(UiO)OsloNorway Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computer science The Higher Future Institute for Specialized Technological StudiesEl ShoroukEgypt

Recently,nano-systems based on molecular communications via diffusion(MCvD)have been implemented in a variety of nanomedical applications,most notably in targeted drug delivery system(TDDS)***,because the MCvD is unreliable and there exists molecular noise and inter symbol interference(ISI),cooperative nano-relays can acquire the reliability for drug delivery to targeted diseased cells,especially if the separation distance between the nano transmitter and nano receiver is *** this work,we propose an approach for optimizing the performance of the nano system using cooperative molecular communications with a nano relay scheme,while accounting for blood flow effects in terms of drift *** fractions of the molecular drug that should be allocated to the nano transmitter and nano relay positioning are computed using a collaborative optimization problem solved by theModified Central Force Optimization(MCFO)*** the previous work,the probability of bit error is expressed in a closed-form *** is used as an objective function to determine the optimal velocity of the drug molecules and the detection threshold at the nano *** simulation results show that the probability of bit error can be dramatically reduced by optimizing the drift velocity,detection threshold,location of the nano-relay in the proposed nano system,and molecular drug budget.

关键词： Nanomedical system molecular communication cooperative relay optimization

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Fast Simulation of Antenna Array with Parameters Variation

Fast Simulation of Antenna Array with Parameters Variation

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2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024

作者： Cheng, Xingkai Shao, Hanru Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China

ISBN: (纸本)9798350383317

In this work, we propose a hybrid method to fast solve the optimization of array located on the PEC carrier inside the dielectric radome with parameters variation. By constructing a reusable low-rank reduced-order model (ROM) for complex carriers, a large number of repeated calculations are reduced and the analysis cost of the antenna array is reduced when the position of array is modified. By combining of frequency-and material-independent response (FMIR), the sweep of media parameters and frequency can be accelerated. The tangential equivalence principle algorithm (T -EPA) is applied to solve the array problem, and the number of unknowns on the antenna array is transferred to the equivalent surface, which is easier for the iterative convergence of the matrix equation. Therefore, the number of unknowns and the analysis cost of the antenna array can be reducecd. © 2024 IEEE.

关键词： Antenna arrays

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Advanced Construction Materials Based on Concrete to Protect the Living Space from Non-Ionizing Radiation 1

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32nd International Conference on Organization and Technology of Maintenance, OTO 2023

作者： Mandrić, Vanja Rupčić, Slavko Vinko, Davor Dominković, Ivica Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9783031514944

ISBN: (纸本)9783031514937

This paper presents measurements of the reflection and transmission coefficient of electromagnetic waves through concrete and two concrete-based composites: concrete with steel fibers and concrete with carbon fibers with the aim of enhancing the attenuation of electromagnetic waves passing through concrete and concrete composites. The frequency range for which the measurements were carried out extends from 30 MHz to 18 GHz and includes most of the existing stationary (and mobile) radiation EM sources in the environment in which the general population moves (FM, DVBT2, 2G - 5G mobile radio systems, stationary radar border area control systems). The measurement results show that as the thickness of the concrete increases, the transmission through concrete and concrete composites decreases (parameter S12 decreases). Furthermore, composites with carbon fibers partially reduce, while those with steel fibers significantly reduce, the transmission of EM waves through such composites. The reduction of parameter S12 by composites with steel is up to 52 dB (at a frequency of 2.9 GHz) for a block thickness of 100 mm. It is important to emphasize that in the case of composites with steel fibers, the influence of the fibers on the transmission parameters is more significant than the thickness of the sample. The reason for this is the increase in electrical conductivity of composites with steel fibers due to the increased proportion of conductive components in the concrete. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Steel fibers

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Automated Waste Sorting: A Comprehensive Approach Using Deep Learning for Detection and Classification 32

Automated Waste Sorting: A Comprehensive Approach Using Deep...

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32nd Mediterranean Conference on Control and Automation, MED 2024

作者： Ogrezeanu, Iulian Alexandru Suciu, Constantin Itu, Lucian Mihai 'Transilvania' University of Brasov Faculty of Electrical Engineering and Computer Science Brasov Romania

ISBN: (纸本)9798350395440

The increasing challenges associated with waste management necessitate advanced technologies to enhance the efficiency of recycling processes. In this work, we present a comprehensive study utilizing the WaRP (Waste Recycling Plant) dataset for waste detection and classification within an industrial waste sorting plant. The dataset is available on Kaggle, and it encompasses 28 recyclable waste categories, including plastic and glass bottles, cardboard, detergents, canisters, and cans. Notably, objects in the dataset exhibit complexities such as overlap, deformation, and varying lighting conditions. For the classification task, we leverage the WaRP-C dataset, consisting of cut-out image areas from the WaRP-D set with class labels. Employing diverse deep learning architectures, including CNN, Le-Net5, AlexNet, VGG16, Mobile-Net-v2, Inception, and DenseNet, we explore the efficacy of each of them in accurately classifying the waste. For the task of waste detection, we focus on the WaRP-D dataset, comprising images with full HD resolution. The YOLO v8 architecture is employed for its efficiency in detecting waste items in cluttered and complex scenes. The dataset includes 2452 training images and 522 test images, each annotated with bounding boxes for precise object localization. The integration of both classification and detection tasks contributes to a holistic approach in automating waste sorting processes, fostering advancements in sustainable waste management practices. © 2024 IEEE.

关键词： Deep learning

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CLASS PROBABILITY MATCHING WITH CALIBRATED NETWORKS FOR LABEL SHIFT ADAPTATION 12

CLASS PROBABILITY MATCHING WITH CALIBRATED NETWORKS FOR LABE...

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12th International Conference on Learning Representations, ICLR 2024

作者： Wen, Hongwei Betken, Annika Hang, Hanyuan Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

We consider the domain adaptation problem in the context of label shift, where the label distributions between source and target domain differ, but the conditional distributions of features given the label are the same. To solve the label shift adaptation problem, we develop a novel matching framework named class probability matching (CPM). It is inspired by a new understanding of the source domain's class probability, as well as a specific relationship between class probability ratios and feature probability ratios between the source and target domains. CPM is able to maintain the same theoretical guarantees as the existing feature probability matching framework, while significantly improving the computational efficiency due to directly matching the probabilities of the label variable. Within the CPM framework, we propose an algorithm named class probability matching with calibrated networks (CPMCN) for target domain classification. From the theoretical perspective, we establish a generalization bound of the CPMCN method in order to explain the benefits of introducing calibrated networks. From the experimental perspective, real data comparisons show that CPMCN outperforms existing matching-based and EM-based algorithms. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Computational efficiency

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An Optimal DPM Based Energy-Aware Task Scheduling for Performance Enhancement in Embedded MPSoC

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computers, Materials & Continua 2023年第1期74卷 2097-2113页

作者： Hamayun Khan Irfan Ud Din Arshad Ali Mohammad Husain Department of Electrical Engineering Faculty of Engineering&Technology Superior University Lahore54000Pakistan Department of Computer Science Faculty of Computer Science&IT Superior University Lahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahAl Madinah Al Munawarah42351Saudi Arabia

Minimizing the energy consumption to increase the life span and performance of multiprocessor system on chip(MPSoC)has become an integral chip design issue for multiprocessor *** performance measurement of computational systems is changing with the advancement in *** to shrinking and smaller chip size power densities onchip are increasing rapidly that increasing chip temperature in multi-core embedded *** operating speed of the device decreases when power consumption reaches a threshold that causes a delay in complementary metal oxide semiconductor(CMOS)circuits because high on-chip temperature adversely affects the life span of the *** this paper an energy-aware dynamic power management technique based on energy aware earliest deadline first(EA-EDF)scheduling is proposed for improving the performance and reliability by reducing energy and power consumption in the system on chip(SOC).Dynamic power management(DPM)enables MPSOC to reduce power and energy consumption by adopting a suitable core configuration for task *** migration avoids peak temperature values in the multicore *** utilization factor(ui)on central processing unit(CPU)core consumes more energy and increases the temperature *** technique switches the core bymigrating such task to a core that has less temperature and is in a low power *** proposed EA-EDF scheduling technique migrates load on different cores to attain stability in temperature among multiple cores of the CPU and optimized the duration of the idle and sleep periods to enable the low-temperature *** effectiveness of the EA-EDF approach reduces the utilization and energy consumption compared to other existing methods and *** simulation results show the improvement in performance by optimizing 4.8%on u_(i) 9%,16%,23%and 25%at 520 MHz operating frequency as compared to other energy-aware techniques for MPSoCs when the least number of tasks is in running state and can

关键词： Dynamic power management dynamic voltage&frequency scaling dynamic thermal management multiprocessor system on chip complementary metal oxide semiconductor reliability

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Investigating the Impact of Code Generation Tools (ChatGPT & Github CoPilot) on Programming Education 16

Investigating the Impact of Code Generation Tools (ChatGPT &...

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16th International Conference on computer Supported Education, CSEDU 2024

作者： Nizamudeen, Faisal Gatti, Lorenzo Bouali, Nacir Ahmed, Faizan Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

ISBN: (纸本)9789897586972

In our rapidly evolving technological landscape, AI tools have gained substantial power and integration across various domains. Through interviews and surveys conducted at a University in the Netherlands, we investigated students’ perceptions of AI tools. Our results show that students generally have a positive attitude towards the adoption of AI technologies and feel that it enhances their learning experience. Furthermore, this research project examines the capabilities of AI-powered tools, namely GitHub Copilot and ChatGPT, in solving a variety of university-level assignments. By empirically evaluating the capabilities of these AI tools and offering insights to educators, this research project aims to assist them in designing programming exercises that encompass essential learning processes while accounting for students’ utilization of AI tools. The findings indicate that a majority of the exercises currently utilized by the examined university could be solved partially or entirely with the aid of these tools. This project highlights the importance of educators understanding the capabilities of AI tools, as well as students’ attitudes towards them, to effectively adapt their teaching methods and promote essential learning goals. Copyright © 2024 by SCITEPRESS – science and Technology Publications, Lda.

关键词： Students

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