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Innovative methods of signal processing for hydrogen-filled proportional counters

IEEE Sensors Journal 2025年第11期25卷 19159-19167页

作者： Horna, Aleš Kolář, Ondřej Kubíček, Michal Czakoj, Tomáš Košťál, Michal Mazánková, Věra Petr, Jiří Cvachovec, František Ančář, Aleš Král, Jan Přenosil, Václav Matěj, Zdeněk Masaryk University Faculty of Informatics Department of Computer Systems and Communications Brno602 00 Czech Republic Brno University of Technology Faculty of Electrical Engineering and Communication Department of Radioelectronics Brno616 00 Czech Republic Research Centre Řež Husinec-Řež250 68 Czech Republic University of Defence Faculty of Military Technology Department of Mathematics and Physics Brno602 00 Czech Republic VF a.s. Černá Hora 679 21 Czech Republic

Proportional counters filled with hydrogen are suitable for fast neutron detection and spectrometry. As their sensitivity is not limited only to this type of ionizing radiation as desired, an approach suitable for event discrimination was investigated. Several counters of the given construction were subjected to various radiation fields and the effort was directed to the examination of pulse-shape discrimination method intended to distinguish neutrons from gamma rays and parasitic events (microdischarges) if these also occurred. Rising edge duration of the output pulses and their amplitudes were mapped into diagrams enabling visual discrimination while the criteria for further computational processes are to be determined. Pulse waveforms from charge-sensitive preamplifier with the proportional counters connected were recorded using an FPGA-based custom-build acquisition unit and then post-processed. Moreover, the possibility of operation verification and energy calibration based on the introduction of helium-3 admixture into the gas filling was studied, as well as the energy resolution abilities. Also, the theoretical basis for particle discrimination is presented in the form of description of events and principles involved. © 2001-2012 IEEE.

关键词： Gamma rays

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PRE-COOLING / PRE-HEATING CHARACTERISTICS OF THE EARTH-TO-AIR HEAT EXCHANGER SYSTEM IN LONG-TERM OPERATION (PART 2): INVESTIGATION OF ACTUAL CONDITION OF AIR ENVIRONMENT IN UNDERGROUND AIR TUNNEL THROUGH FIELD MEASUREMENT AND CFD ANALYSIS IN SUMMER

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Journal of Environmental engineering (Japan) 2022年第792期87卷 94-103页

作者： Hirata, Kazuma Shiraishi, Yasuyuki Tomoda, Kento Hasegawa, Kenichi Graduate School of Environmental Engineering The Univ. of Kitakyushu Japan Faculty of Environmental Engineering The Univ. of Kitakyushu Japan HEROZ Inc. Japan Faculty of Systems Science and Technology Akita Prefecture University Japan

In this study, we aim to propose the optimal operation method of an earth-to-air heat exchanger (EAHE). As a first step, in this paper, we investigated the relationship between the occurrence of condensation and air pollution by fungi in the underground air tunnel of an actual building. Firstly, we evaluated of condensation in the underground air tunnel based on actual measurement and unsteady CFD analysis. Secondly, exhaustive investigation of fungal flora in the underground air tunnel was conducted by DNA analysis. © 2022 Architectural Institute of Japan. All rights reserved.

关键词： Condensation

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Interannual and interseasonal variability of the persian gulf surface wave energy in the recent decade

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Marine systems and Ocean technology 2024年第1-2期19卷 155-164页

作者： Eshghi, Nasrin Barzandeh, Amirhossein Salimi, Fouad Department of Nonliving Sciences of Atmosphere and Ocean Faculty of Marine Science and Technology University of Hormozgan Bandar Abbas Iran Department of Civil Engineering University of Ottawa OttawaONK1N 6N5 Canada Department of Marine Systems Tallinn University of Technology Tallinn Estonia Civil Engineering Department University of Hormozgan Bandar Abbas Iran

Renewable energies play an important role in global energy production. Wave energy is a type of renewable energy that can be affected by climate change. This study aims to investigate the distribution of surface wave energy variability over the Persian Gulf in the recent decade (2009–2018). To this end, Interannual and Interseasonal variability of the surface wave energy has been investigated using the Simulating Waves Nearshore (SWAN) numerical model and applying statistical methods, including trends and Empirical Orthogonal Function (EOF) analysis. The results indicated that the wave energy in most areas of the Persian Gulf showed a significant increasing trend although there was a negative trend value in the southwest of the Persian Gulf and no significant change in the southern coastal area of the Arabian Peninsula. The climatology of wave energy showed the seasonal variability of the wave energy, with a stronger value in the central parts of the Persian Gulf (50°–53° E) during winter months and reducing during spring months, especially in April. Then it reaches its maximum value in June and declines throughout the summer and fall months. Mean wave energy in 2017 had its maximum value due to destructive Meteotsunami -like waves that impacted the Persian Gulf in 2017 and its minimum were occurred in 2009, 2010, and 2014. In addition, the first principal component (PC-EOF 1), suggests a possible influence from the winter Shamal wind event and shows that the wave dynamics was closer to unimodality, in the period of study. © The Author(s), under exclusive licence to Sociedade Brasileira de Engenharia Naval 2024.

关键词： Numerical methods

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Analysis of Approaches for Identifying Key Skills in Vacancies 27

Analysis of Approaches for Identifying Key Skills in Vacanci...

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27th International Conference on Soft Computing and Measurements, SCM 2024

作者： Korytov, Pavel V. Kholod, Ivan I. Gribetskiy, Yan Yu. Andreeva, Ekaterina A. Saint Petersburg Electrotechnical University 'LETI' Faculty of Computer Science and Technology Department of Computer Science and Engineering Saint-Petersburg Russia Saint Petersburg Electrotechnical University 'LETI' Faculty of Computer Science and Technology Department of Information Systems Saint-Petersburg Russia

ISBN: (纸本)9798350363708

The task of identifying key skills from job vacancies descriptions is considered in the article. The source data consists of vacancy texts from the 'Jobs in Russia' portal, in which skill-related entities were manually annotated. Keyword extraction methods (YAKE, PositionRank and WikiNEuRal, KBIR-InSpec), and a named entity recognition model trained on the source data are compared. © 2024 IEEE.

关键词： Extraction

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Enhanced Grid Integration of PV systems Using Double-Stage Configuration and PUC7 Inverter Controlled by MPC

Enhanced Grid Integration of PV Systems Using Double-Stage C...

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International Conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2024

作者： Khettab, Soufian Kheldoun, Aissa Bradai, Rafik Hattabi, Intissar SET Laboratory Blida 1 University Faculty of Technology Automation and Electrical Engineering Department Blida09000 Algeria Laboratory of Signals and Systems Institute of Electrical and Electronic Engineering University M’hamed Bougara Boumerdes35000 Algeria LATSI Blida 1 University Faculty of Technology Electronics Department Blida09000 Algeria

ISBN: (纸本)9783031803000

The paper introduces a double-stage, single-phase photovoltaic (PV) system connected to the grid using a packed U-cell seven-level (PUC7) inverter, governed by Model Predictive Control (MPC). This system aims to optimize grid integration by achieving enhanced current injection with minimal Total Harmonic Distortion (THD), reactive power compensation, and efficient extraction and injection of maximum power from the PV source. Simulation results underscore the efficacy of the proposed control strategy in enhancing power quality, responsiveness, and accuracy across varying weather conditions, thereby validating the feasibility and robustness of the proposed PV system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Predictive control systems

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Intelligent Control Based in Neural-Fuzzy of Adaptive Backstepping for The Double Stator IPMSM Powered by a Five-Level NPC Inverter 13

Intelligent Control Based in Neural-Fuzzy of Adaptive Backst...

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13th IEEE International Conference and Expositions on Electric and Power engineering, EPEi 2024

作者： Benaissa, Rabie Mansouri, Smail Ouledali, Omar University of Adrar Faculty of Sciences and Technology Department of Electrical Engineering Laboratory for Sustainable Development and Computer Science 01000 Algeria University of Adrar Faculty of Sciences and Technology Department of Hydrocarbons and Renewable Energies Laboratory for Energy Environment and Information Systems 01000 Algeria

ISBN: (纸本)9798350356199

This article supplies a proposed approach Neuro Fuzzy Controller (NFC)-Adaptive Backstepping Controller (ABC)-Space Vector Modulation (SVM) for a five-level NPC inverter-Double Stator Interior Permanent Magnet Synchronous Motor (DSIPMSM). This paper's primary objective is to enhance DSIPMSM's performance by the use of strong control using the proposed approach. Given its benefits - including high torque density, high efficiency, high power density, and minimal maintenance - DSIPMSM, have recently been the focus of much research. Using the input-output linearization approach and Lyapunov stability theory, asymptotically stable trajectory-following dynamics are demonstrated using nonlinear adaptive backstepping control. The use of fuzzy logic and intelligence-based controllers are increasingly being used to enhance traditional control's performance and output. In addition, the fuzzy logic controller has a lot of flaws that are presently being fixed by the extremely effective NFC tool. The proposed method's worth was demonstrated by the simulation results in terms of durability, effective tracking dynamics, precision, and good disturbance rejection with little ripple. © 2024 IEEE.

关键词： Disturbance rejection

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Characteristics of Indonesian traditional fermented seafood paste (terasi) made from shrimp and anchovy

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Journal of Ethnic Foods 2024年第1期11卷 1-13页

作者： Surya, Reggie Nugroho, David Kamal, Nurkhalida Petsong, Kantiya Food Technology Department Faculty of Engineering Bina Nusantara University Jakarta 11480 Indonesia Department of Integrated Science Faculty of Science Khon Kaen University Khon Kaen 40002 Thailand Institute of Systems Biology (INBIOSIS) Universiti Kebangsaan Malaysia (UKM) Selangor Bangi 43600 Malaysia Department of Food Technology Faculty of Technology Khon Kaen University Khon Kaen 40002 Thailand

Fermented seafood paste, terasi, is a ubiquitous ingredient in Indonesian traditional cuisine. It is commonly used as a flavor enhancer due to its unique, strong, and complex flavor. Traditionally, terasi is made using planktonic shrimp (Acetes indicus) but some regional varieties of terasi include other seafoods, such as fish in their recipes. The present study aimed to explore the cultural and ethnic significance of terasi, investigating the current traditional preparation of terasi, and analyze the characteristics of terasi made from shrimp and fish. The traditional practice of terasi making in Cirebon, its birthplace, often includes the use of anchovy (Engraulidae) as an additional ingredient besides shrimp, as observed among more than 70% of local producers. Therefore, we characterized several aspects of terasi made from shrimp and anchovy (fish) under different proportions. Higher proportion of fish in terasi was associated with darker color due to browning reactions and higher microbial load, particularly proteolytic and lactic acid bacteria. Nutritionally, higher proportion of fish increased the protein content of terasi but decreased its fat content. A series of chemical analyses revealed that the addition of fish in terasi significantly increased protein hydrolysis, lipid peroxidation, and non-enzymatic browning (Maillard) reaction, thus resulting in a significant formation of toxic compounds such as histamine and acrylamide. Interestingly, organoleptic analysis showed that terasi made from an equal proportion of shrimp and fish was preferred by the panelists. Therefore, this study suggested that mixing shrimp and fish could be used as a strategy to increase consumer’s acceptance toward terasi. However, for food safety reasons, some adjustments in the fermentation period should be made in future studies since the addition of fish in terasi would increase microbial activity and accelerate chemical reactions. © 2023, The Author(s).

关键词： Ethnic food Fermentation Fish paste Indonesian food Shrimp paste Terasi

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Musculoskeletal Modelling and Simulation for Upper Limb Muscle Activities 15

Musculoskeletal Modelling and Simulation for Upper Limb Musc...

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15th International Conference on Computer and Automation engineering, ICCAE 2023

作者： Ashari, Mohd Fadzli Hanafusa, Akihiko Mohamaddan, Shahrol Universiti Malaysia Sarawak Faculty of Engineering Department of Mechanical and Manufacturing Sarawak Malaysia Shibaura Institute of Technology College of Systems Engineering and Sciences Department of Bioscience and Engineering Saitama Japan

ISBN: (纸本)9798350396225

Musculoskeletal modeling and simulation are widely used in many areas of research including biomedical, sports, and engineering. In this study, the musculoskeletal model from an open-source platform, OpenSim software is used to simulate the upper limb muscle activities while performing the ADLs tasks using an assistive device. The upper limb musculoskeletal model was scaled down from the existing model to meet the motion requirement of the device. The device was remodeled in 3D using design software and imported into OpenSim environment and connected to the musculoskeletal model. The center of mass (COM) and inertia calculation were also conducted to adjust the model. Two experiments of ADLs task;the touching nose and moving object was conducted and simulated using the model. The simulation results showed that the muscle force values for the selected muscles (deltoid interior, pectoralis major, and teres major) were reduced during the simulated ADLs tasks when wearing the assistive device. © 2023 IEEE.

关键词： Muscle

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Enabling data-driven anomaly detection by design in cyber-physical production systems

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Cybersecurity 2022年第3期5卷 34-51页

作者： Rui Pinto Gil Goncalves Jerker Delsing Eduardo Tovar Department of Informatics Engineering Faculty of EngineeringUniversity of PortoPortoPortugal EISLAB Lulea University of TechnologyLuleaSweden Research Centre in Real-Time and Embedded Computing Systems Polytechnic of Porto-School of EngineeringPortoPortugal

Designing and developing distributed cyber-physical production systems(CPPS)is a time-consuming,complex,and error-prone *** systems are typically heterogeneous,i.e.,they consist of multiple components implemented with different languages and development *** of the main problems nowadays in CPPS implementation is enabling security mechanisms by design while reducing the complexity and increasing the system’s *** the IEC 61499 standard is an excellent approach to tackle these challenges by enabling the design,deployment,and management of CPPS in a model-based engineering *** propose a method for CPPS design based on the IEC 61499 *** method allows designers to embed a bio-inspired anomaly-based host intrusion detection system(A-HIDS)in Edge *** A-HIDS is based on the incremental Dendritic Cell Algorithm(iDCA)and can analyze OPC UA network data exchanged between the Edge devices and detect attacks that target the CPPS’Edge *** study’s findings have practical implications on the industrial security community by making novel contributions to the intrusion detection problem in CPPS considering immune-inspired solutions,and cost-effective security by design system *** to the experimental data,the proposed solution can dramatically reduce design and code complexity while improving application maintainability and successfully detecting network attacks without negatively impacting the performance of the CPPS Edge devices.

关键词： Artificial immune systems Cyber-physical production systems IEC 61499 Function blocks Industrial Internet of Things Anomaly-based host intrusion detection system Model-based engineering

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SensorDAO: A New Framework of Sensor Governance for Internet of Vehicles 3

SensorDAO: A New Framework of Sensor Governance for Internet...

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3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Liu, Yuhang Jiang, Tai Li, Juanjuan Ding, Wenwen Wang, Fei-Yue Chinese Academy of Science Institute of Automation Beijing China Macau University of Science and Technology Faculty of Innovation Engineering China Macau University of Science and Technology Macao Institute of Systems Engineering China

ISBN: (纸本)9798350318470

High-performance sensors play a crucial role in IoV (Internet of Vehicles) to achieve advanced autonomous driving. Typically, IoV involves extensive data sharing and centralizes data storage, posing significant security challenges for sensors. Although blockchain offers a decentralized platform for data exchange, it can't guarantee the reliability and trustworthiness of each sensor in IoV. Besides, blockchain primarily focuses on technical aspects and falls short of establishing a comprehensive organizational and operational framework for sensors. To address these challenges, we introduce the concept of DAO (Decentralized Autonomous Organization and Operation) into sensors and propose a new framework for reliable sensor operations in IoV, namely SensorDAO. It utilizes the collaboration of on-chain and off-chain layers to support various scenarios at the application layer. We also provide key technical elements to construct SensorDAO, including distributed storage, intelligent algorithms, governance, and incentive mechanisms. © 2023 IEEE.

关键词： Blockchain

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