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66th International Symposium ELMAR, ELMAR 2024

作者： Skaric, Grigor Turcinovic, Filip Bosiljevac, Marko University of Zagreb Faculty of Electrical Engineering and Computing Zagreb10000 Croatia

ISBN: (纸本)9798350375411

Ground-Based Synthetic Aperture Radar (GBSAR) is crucial for applications like geological surveys and infrastructure monitoring, but data acquisition is often time-consuming and expensive. This paper explores using Generative Adversarial Networks (GANs) to synthesize GBSAR data, addressing data scarcity issues. Using data from a 24 GHz GBSAR system, we demonstrate that GANs can generate realistic synthetic datasets, thereby augmenting the training process and improving the accuracy of deep learning models. Our findings indicate that GANs effectively expand dataset size and lead to enhancements in classification model performance, offering a cost-effective supplement to GBSAR data acquisition. © 2024 IEEE.

关键词： Generative adversarial networks

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Day-ahead and intra-day forecasting of electric vehicle charging station energy consumption 8

Day-ahead and intra-day forecasting of electric vehicle char...

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8th International Conference on Smart and Sustainable Technologies, SpliTech 2023

作者： Matkovic, Daria Sudic, Ivan Capuder, Tomislav Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9789532901283

This paper evaluates the performance of three forecasting algorithms, specifically Autoregressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), and Exponential Smoothing (ES), in forecasting energy consumption at the electric vehicle (EV) charging stations using real-world data. These complex models are compared with two naive models, which serve as benchmarks for evaluating whether the additional complexity in sophisticated models improves forecasting accuracy. To ensure generalization performance, forecasting algorithms are evaluated using four distinct engagement and location-based datasets. The first dataset consists of 256 charging stations located in Croatia, the second dataset includes 20 charging stations located in Zagreb, the third dataset includes 6 charging stations in Split and the last dataset consists of data recorded on the most visited charging station 'Zagreb-Autobusni'. Finally, all algorithms are compared utilizing three error metrics, including Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). Additionally, the naive model's performance is compared with more complex forecasting algorithms to verify its appropriateness for use as a benchmark model in future research. © 2023 University of Split, FESB.

关键词： Energy utilization

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Fractal-like Graphitic Carbon Nitride for Near-Instantaneous Removal of Rose Bengal Dye by Adsorption

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Journal of The Institution of Engineers (India): Series D 2024年第1期106卷 611-618页

作者： Chauhan, K. Banerjee, D. Shrivastava, V.P. Department of Physics Faculty of Engineering Teerthanker Mahaveer University Moradabad India Thin Film and Nanotechnology Laboratory Department of Physics Faculty of Engineering and Computing Sciences Teerthanker Mahaveer University UP Moradabad244001 India

The present work describes the hydrothermal synthesis of fractal-like graphitic carbon nitride nanostructures which was characterized in detailed by different spectroscopic and microscopic techniques. XRD endorsed the crystalline nature of the sample whereas FESEM shows the fractal like morphology of the same. UV–Vis reflectance spectra along with the famous Kubelka–Munk plot confirmed that band gap of the material falls in the violet-blue region. FTIR along with Raman spectra helped analysing different vibrational energy level present in the sample. The as synthesized sample showed excellent ability to remove textile dye via the process of adsorption. The removal of Bengal rose is almost instantaneous and within the duration of just 5 min almost 90% of the dyes got degraded. Further exposure of UV light or further dark stirring does not make any considerable impact on the removal performance. When the reaction kinetic has been studied it was found that the reaction mainly followed a 1st order reaction kinetics. It is assumed that the porous nature of the material developed is the key reason for such extraordinary performance of the material. © The Institution of Engineers (India) 2024.

关键词： Hydrothermal synthesis

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Segmentation of Lung Cancer in CT Images using Modified U-Net Architecture 66

Segmentation of Lung Cancer in CT Images using Modified U-Ne...

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66th International Symposium ELMAR, ELMAR 2024

作者： Ivusic, David Zeger, Ivana Grgic, Sonja University of Zagreb Faculty of Electrical Engineering and Computing Zagreb10000 Croatia

ISBN: (纸本)9798350375411

This paper introduces a deep learning method for lung cancer segmentation through Computed Tomography (CT) image analysis, with the goal of aiding radiologists in the early detection of lung cancer. For this purpose, a new dataset with manually annotated segmentation masks of cancer was created and used for testing purposes. The proposed segmentation network is based on the modified U-Net architecture tailored to the specific challenges of lung cancer detection. The network's design optimizes computational efficiency by reducing the number of channels in convolutional blocks and replacing pooling layers with convolutional layers in the decoder path, thus preserving spatial information. The modified U-Net achieved a Dice coefficient of 0.7998, demonstrating competitive performance compared to state-of-the-art models. © 2024 IEEE.

关键词： Lung cancer

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Assessment of Signal Losses in LEO Satellite-to-Ground Optical Communication Links 66

Assessment of Signal Losses in LEO Satellite-to-Ground Optic...

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66th International Symposium ELMAR, ELMAR 2024

作者： Jagnjic, Mate Vukovic, Josip Babic, Dubravko University of Zagreb Faculty of Electrical Engineering and Computing Zagreb10000 Croatia

ISBN: (纸本)9798350375411

We present a model and a computation of signal losses in satellite-to-ground optical communication links for an low Earth orbit (LEO) satellite operating in the C-band, with an optical ground station (OGS) located in Zagreb, Croatia. The total loss estimate includes contributions from satellite and OGS telescope gains, free-space loss, atmospheric attenuation, pointing error, power scintillation loss, optical transmission in the Coudé-path, losses due to the optical elements in the OGS, single- mode fiber loss, and quantum efficiency of the photodetector. Understanding these losses is crucial for estimating secure key rates and distilled keys for the quantum key distribution (QKD) protocol that will be used between planned European satellite for quantum communication and the optical ground station in Zagreb. We show that the total loss ranges from 29.91 dB to 56.71 dB, depending on the elevation angle. © 2024 IEEE.

关键词： Single mode fibers

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Power Flow Control using multiple Phase-Shifting Transformers

Power Flow Control using multiple Phase-Shifting Transformer...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Hrgović, Ivana Pavić, Ivica University of Zagreb Faculty of Electrical Engineering and Computing Zagreb10000 Croatia

ISBN: (纸本)9789531842976

When multiple phase-shifting transformers (PSTs) are installed in a meshed electrical grid, careful coordination of these devices is crucial. Poor coordination can result in inefficient infrastructure use and may even compromise the security of supply. This paper aims to explore how PSTs can be controlled to achieve an optimal or near-optimal configuration for a given network. The Croatian transmission network is used as a case study. Expert knowledge is applied alongside an iterative algorithm based on power flow sensitivity analysis. The objective is to determine the PST phase angles and voltage ratios to prevent transmission network overloads under both normal and N-1 contingency conditions during the planning phase. © 2024 IEEE.

关键词： Sensitivity analysis

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Smart Walker With Return-To-User Functionality via Kalman Filter-Based Tracking 12

Smart Walker With Return-To-User Functionality via Kalman Fi...

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12th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2024

作者： Asante, Isaac Theng, Lau Bee Tee Kit Tsun, Mark Swinburne University of Technology Faculty of Engineering Computing and Science Kuching Malaysia

ISBN: (纸本)9798350340204

This paper presents a smart walker designed to address mobility issues for individuals with various impairments. The prototype comes with autonomous and manual navigation options;it uses an NVIDIA Jetson Orin Nano with ROS 2 Humble, integrates sensors such as the Intel RealSense D455 camera for depth data and an MPU6050 IMU for orientation, and it is equipped with person-tracking algorithms for autonomous navigation, with face recognition to maintain focus on the target user. Commands are communicated between the Jetson Nano and Arduino Mega 2560, which controls motor functions and the mecanum wheels. The forward-looking aspect is that the prototype retrofits standard walkers for easier commercialisation and replication. The design addresses the need for dynamic obstacle detection, basic fall prevention, as well as return-to-user autonomous navigation - all of which are necessary for user independence and safety in various environments. © 2024 IEEE.

关键词： Kalman filters

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Challenges in Using Doppler Radar for Non-Contact Vital Sign Monitoring in Small Laboratory Animals 66

Challenges in Using Doppler Radar for Non-Contact Vital Sign...

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66th International Symposium ELMAR, ELMAR 2024

作者： Kruljac, Martina Bosiljevac, Marko University of Zagreb Faculty of Electrical Engineering and Computing Zagreb10000 Croatia

ISBN: (纸本)9798350375411

Assessing the vital signs of small laboratory animals can pose challenges due to their faint heart rates and limited lung capacity. This becomes particularly important during their post-surgery recovery when continuous health monitoring is necessary. The difficulty lies in finding a way to measure small movements of low frequencies from animals without making physical contact, even when they are in various positions and locations within their habitat. This paper presents experimental verification of millimeter wave Doppler radar when used for this purpose. Parametric analysis is conducted for several possible scenarios using a laboratory setup featuring a vibrating mechanical model that simulates the breathing movement of the animal. © 2024 IEEE.

关键词： Invertebrates

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Intrinsically Interpretable Models for Credit Risk Assessment 47

Intrinsically Interpretable Models for Credit Risk Assessmen...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Duvnjak, Matej Merćep, Andro Kostanjčar, Zvonko Privredna Banka Zagreb Croatia Faculty Of Electrical Engineering And Computing Croatia

ISBN: (纸本)9798350382495

In the domain of credit risk modeling, logistic regression remains the de facto industry standard. Yet, machine learning and deep learning techniques hold the promise of significantly enhancing current predictive capabilities. Employing these more complex models in credit risk assessment presents unique challenges, notably the need for model explainability, which is crucial for stakeholders such as national regulators, risk analysts, and senior management. In this paper, we evaluate XAI (explainable AI) methods, providing insight into the advantages and disadvantages of advanced credit risk modeling techniques. Our findings demonstrate that XAI methods enhance prediction accuracy while maintaining a high level of insight into the models' inner workings. © 2024 IEEE.

关键词： Risk assessment

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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges

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IEEE Access 2025年 13卷 84357-84379页

作者： Dechsupa, Chanon Panboonyuen, Teerapong Vatanawood, Wiwat Padungweang, Praisan So-In, Chakchai Khon Kaen University College of Computing Department of Computer Science Khon Kaen400002 Thailand Chulalongkorn University Faculty of Engineering Department of Computer Engineering Bangkok10300 Thailand

State-space graphs and automata serve as fundamental tools for modeling and analyzing the behavior of computational systems. Recurrent neural networks (RNNs) and language models are deeply intertwined, as RNNS provide the foundational architecture that enables language models to process sequential data, capture contextual dependencies, and improve natural language processing tasks. Both RNNs and state-space graphs help evaluate discrete-time systems within this formal framework. However, the basic question of their equivalence remains an open challenge regarding the models governing sentence structure in natural language and the formal model in automata theory. In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. ENGRU integrates concepts of model checking techniques, Colored Petri Nets (CPNs), and sequential learning to analyze systems at a high level of abstraction. CPN models undergo state-space enumeration via a model-checking tool, generating a state-space graph and an automaton from inherent state transition patterns. These graphs are transformed into sequential representations as sub-paths, enabling ENGRU to learn the execution paths and predict system behaviors. ENGRU effectively predicts goal states within discrete-time models by the competency of gated recurrent mechanisms, encouraging early bug detection and allowing predictive state-space exploration. Experimental results demonstrate that ENGRU’s ability achieves high accuracy and efficiency in goal state predictions. © 2013 IEEE.

关键词： Model checking

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