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Techno-economic assessment of the use of linear fresnel solar collectors for the supply of heat in traditional fruits and vegetable processing industries in almeria’s province

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2021年 19卷 511-516页

作者： Gil, J.D. Ramos, Ja. Romero García, M. Pérez Molina, M. Martínez Ropero, J. Rodríguez, A. CIESOL Research Center on Solar Energy joint center UAL-CIEMAT Spain Automatic Control Robotics and Mechatronics group University of Almería Spain School of Engineering University of Almería University of Almería Ctra. De Sacramento s/n Almeria04120 Spain

This study presents a techno-economic assessment of the use of Linear Fresnel Solar Collectors for the heat supply in traditional fruits and vegetable processing industries in Almeria’s province. This assessment is justified by the high availability of solar radiation in the area under study, the evaluation of complementary energy self-consumption modalities, and the suitability of using local resources for the preservation and improvement of traditional productive activities. The work starts with an identification of the potential user’s needs and their location in the province. Afterward, the solar radiation resources have been estimated as they constitute one of the basic inputs for sizing the proposed systems. Together with the above, representative thermal demands have been considered and different configurations of commercial Linear Fresnel Solar Collector thermal plants aimed to contribute to solarize the analyzed productive processes have been designed and the corresponding techno-economic assessment have been undertaken. Main findings advance the profitability that can be achieved with this technology, reaching, after an optimized integration of the solar plant in the industrial process, a solar fraction between 66-82 % and payback periods of the investment between 6-12 years. © 2021, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Solar energy

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Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA

arXiv

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arXiv 2022年

作者： Szolc, Hubert Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland

This paper presents a system for hardware-in-the-loop (HiL) simulation of unmanned aerial vehicle (UAV) control algorithms implemented on a heterogeneous SoC FPGA computing platforms. The AirSim simulator running on a PC and an Arty Z7 development board with a Zynq SoC chip from AMD Xilinx were used. Communication was carried out via a serial USB link. An application for autonomous landing on a specially marked landing strip was selected as a case study. A landing site detection algorithm was implemented on the Zynq SoC platform. This allowed processing a 1280 × 720 @ 60 fps video stream in real time. Performed tests showed that the system works correctly and there are no delays that could negatively affect the stability of the control. The proposed concept is characterised by relative simplicity and low implementation cost. At the same time, it can be applied to test various types of high-level perception and control algorithms for UAV implemented on embedded platforms. We provide the code developed on GitHub, which includes both Python scripts running on the PC and C code running on Arty Z7. © 2022, CC BY.

关键词： System-on-chip

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Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation

arXiv

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arXiv 2022年

作者： Przewlocka-Rus, Dominika Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland

Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity. Since for those systems it is often required to operate both in real-time and with minimal energy consumption (e.g., for wearable devices or autonomous vehicles, edge Internet of Things (IoT), sensor networks), various network optimisation techniques are used, e.g., quantisation, pruning, or dedicated lightweight architectures. Due to the logarithmic distribution of weights in neural network layers, a method providing high performance with significant reduction in computational precision (for 4-bit weights and less) is the Power-of-Two (PoT) quantisation (and therefore also with a logarithmic distribution). This method introduces additional possibilities of replacing the typical for neural networks Multiply and ACcumulate (MAC – performing, e.g., convolution operations) units, with more energy-efficient Bitshift and ACcumulate (BAC). In this paper, we show that a hardware neural network accelerator with PoT weights implemented on the Zynq UltraScale + MPSoC ZCU104 SoC FPGA can be at least 1.4x more energy efficient than the uniform quantisation version. To further reduce the actual power requirement by omitting part of the computation for zero weights, we also propose a new pruning method adapted to logarithmic quantisation. © 2022, CC BY.

关键词： System-on-chip

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Effect of Electromagnetic Microwaves on Migration of Undesirable Compounds into Food

SSRN

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SSRN 2025年

作者： Bronczyk, Karolina Dąbrowska, Agata Dąbrowski, Adam Konieczka, Adam Department of Trace Analysis Faculty of Chemistry Adam Mickiewicz University Uniwersytetu Poznanskiego 8 Poznan61-614 Poland Faculty of Automatic Control Robotics and Electrical Engineering Poznan University of Technology Piotrowo 3A Poznan60-965 Poland

Food contact materials (FCMs) may be responsible for migration of contaminants into food, especially during heating. This article describes the effect of electromagnetic microwaves used to heat food on the migration of organic contaminants into neutral, and acidic food. An untargeted analysis (GC-MS) was performed to determine groups of organic compounds, which can be released most quickly from FCMs into heated food. Low-molecular-weight carbonyl compounds are particularly important migrants, as they can affect the quality and sensory properties of foods. It makes them suitable for use as markers in migration studies. A targeted analysis was performed to determine the factors determining the intensity of migration processes. The derivatization method using the reagent 2,3,4,5,6-pentafluorobenzylhydroxylamine (PFBOA) was used, which allows the use of gas chromatography coupled with an electron capture detector (GC-ECD). The study showed that plant-based FCMs lead to greater contamination of food with undesirable carbonyls than glass and plastics. Short-term storage of food in a refrigerator promotes the migration of carbonyls to food. Longer storage reduces the total concentration of carbonyls in neutral food. However, aldehydes and ketones are more biologically stable in acidic food. Additionally, plant-based FCMs can affect the sensory profile of food heated briefly with the microwave radiation. © 2025, The Authors. All rights reserved.

关键词： Acetone

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Low-Cost LISN Design for Overcoming CubeSat EMC Challenges

Low-Cost LISN Design for Overcoming CubeSat EMC Challenges

引用

Global Aeronautical Engineering and Satellite Technology (GAST), International Conference on

作者： Youssef El Hachimi Amina Daghouri Abdelaali Ouhammam Hassane Mahmoudi Soumia El Hani Power Electronics Smart Control Techniques Automatic and Robotics Team EMI University Center for Research in Space Technologies EMI Mohammed V University in Rabat Morocco Energy Optimization Diagnosis and Control Team ENSAM University Center for Research in Space Technologies EMI Mohammed V University in Rabat Morocco

ISBN: (数字)9798350371598

ISBN: (纸本)9798350371604

Cubesats have emerged as a cost-effective solution for a wide range of space-based applications, making them increasingly popular for both research and commercial missions. However, ensuring Electromagnetic Compatibility (EMC) compliance is crucial for the success of CubeSat missions. To maximize the chances of mission success, EMC considerations should be integrated into the early design phases of the CubeSat and carefully tested and verified throughout the development process. This paper provides an overview of the EMC aspects related to CubeSats, including the challenges that developers and researchers face when dealing with EMC, and propose a Low cost Line Impedance Stabilization Network that can be used for EMC pre-compliance testing of subsystems before integration.

关键词： Satellites Costs Electromagnetic compatibility Impedance CubeSat Faces Testing

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Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation

TechRxiv

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TechRxiv 2022年

关键词： System-on-chip

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Towards real-time and energy efficient Siamese tracking - a hardware-software approach

TechRxiv

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TechRxiv 2022年

Siamese trackers have been among the state-of-the-art solutions in each Visual Object Tracking (VOT) challenge over the past few years. However, with great accuracy comes great computational complexity: to achieve real-time processing, these trackers have to be massively parallelised and are usually run on high-end GPUs. Easy to implement, this approach is energy consuming, and thus cannot be used in many low-power applications. To overcome this, one can use energy-efficient embedded devices, such as heterogeneous platforms joining the ARM processor system with programmable logic (FPGA). In this work, we propose a hardware-software implementation of the well-known fully connected Siamese tracker (SiamFC). We have developed a quantised Siamese network for the FINN accelerator, using algorithm-accelerator co-design, and performed design space exploration to achieve the best efficiency-to-energy ratio (determined by FPS and used resources). For our network, running in the programmable logic part of the Zynq UltraScale+ MPSoC ZCU104, we achieved the processing of almost 50 frames-per-second with tracker accuracy on par with its floating point counterpart, as well as the original SiamFC network. The complete tracking system, implemented in ARM with the network accelerated on FPGA, achieves up to 17 fps. These results bring us towards bridging the gap between the highly accurate but energy-demanding algorithms and energy-efficient solutions ready to be used in low-power, edge systems. © 2022, CC BY.

关键词： Field programmable gate arrays (FPGA)

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Towards real-time and energy efficient Siamese tracking - a hardware-software approach

arXiv

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arXiv 2022年

关键词： Energy efficiency

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Autonomous Delivery Robot AQUILO 20th

Autonomous Delivery Robot AQUILO

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20th Polish control Conference, PCC 2020

作者： Dlugosz, Marek Węgrzyn, Pawel Roman, Michal Department Automatic Control and Robotics AGH University of Science and Technology Kraków Poland

ISBN: (纸本)9783030509354

The design and structure of the AQUILO Autonomous Delivery Robot are presented in this paper. The AQUILO robot’s task is to transport small deliveries in such buildings as offices, schools, hospitals. The AQUILO robot is autonomous, that is, after starting a task it works without human supervision or control. Individual components used in AQUILO robot construction, for example drives, sensors as well as control algorithms are described in this paper. The proprietary system for stair detection used in the AQUILO robot to assure its safe operation is also described. The conclusions also contain information about further works on AQUILO robot development. © 2020, Springer Nature Switzerland AG.

关键词： Robot programming

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Playing cards and bidding calls detection for automatic registration of a duplicate bridge game

TechRxiv

引用

TechRxiv 2022年

作者： Wzorek, Piotr Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland

In this work, the implementation of a playing cards and bidding calls detection system for the automatic registration of a duplicate bridge game is presented. For this purpose, two YOLOv4 deep convolutional neural networks were used. During the training process, which was carried out using an automatically generated dataset, we obtained a detector characterised by more than 99.9% accuracy on the test set. The prepared system has been evaluated on videos collected during bridge competitions and is characterised by high accuracy. The application has been implemented and evaluated on a CPU and an embedded GPU. © 2022, CC BY.

关键词： Deep neural networks

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