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Self-Powered End-to-End Wireless Sensor Network for Geophysical Explorations

IEEE systems Journal 2025年第1期19卷 107-118页

作者： Rojas, Jhonathan Prieto Almazyad, Rayan Al Hayyah, Abdulaziz Alruhaiman, Ahmed Almusharraf, Mohammed Al-Dharrab, Suhail Attia, Hussein Department of Electrical Engineering Dhahran31261 Saudi Arabia Interdisciplinary Research Center of Advanced Materials KFUPM Dhahran31261 Saudi Arabia King Fahd University of Petroleum and Minerals Department of Electrical Engineering Dhahran31261 Saudi Arabia Interdisciplinary Research Center for Communication Systems and Sensing KFUPM Dhahran31261 Saudi Arabia

The underground layers of the Earth contain immense resources that require geophysical surveys. This article presents an end-to-end, self-powered wireless sensor network (WSN) for geophysical surveys. The WSN conducts geophysical surveys in an energy-efficient, portable manner. It includes a sensing element, advanced electronics, data processing and digitization, and wireless transmission with networking capabilities between sensing nodes. The system is equipped with a power management module with solar-powered charging capabilities, allowing for at least six days of effective operation on a few hours' worth of charge. The electronic circuitry performing amplification and filtering provides cut-off frequencies of 8.2–108 Hz, and the sensor node exhibits a sampling frequency of 600 SPS. Furthermore, the system implements power modes (active/sleep) to reduce power consumption, with a nominal power usage of only 650 mW at its maximum. The WSN comprises a multihop implementation with smart routing to ensure power-efficient and reliable data transmission. In addition, message encryption is implemented for enhanced wireless security. A field test was conducted to validate the proposed geophysical data acquisition system. Geophysical signals were detected and wirelessly transmitted over a 200 m2 area employing a network of six nodes to a storage unit, where they were successfully reconstructed and remained stored for later processing and analysis. © 2007-2012 IEEE.

关键词： Data acquisition

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Channels engineering in Magnetic Recording: From Theory to Practice

IEEE BITS the Information Theory Magazine

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IEEE BITS the Information Theory Magazine 2023年第3期3卷 6-49页

作者： Garani, Shayan Srinivasa Vasic, Bane Indian Institute of Science Department of Electronics Systems Engineering Bengaluru560012 India University of Arizona Department of Electrical and Computer Engineering TucsonAZ85721 United States

Information theory, coding theory, and signal processing have significantly shaped magnetic read/write channels engineering through a chronological sequence of innovations and research advancements, cognizant of the underlying physical processes. In this magazine article, we provide an overview of magnetic recording technologies leading to the channels engineering aspects, central to this article. We survey important coding and signal processing algorithms along with some design architectures that have made it to practice within hard disk drives for magnetic recording channels. The push toward realizing ultrahigh densities (> 4 Tb/in2>) on magnetic disks with ultrahigh throughput rates (>10 Gb /s) necessitates the development of native two-dimensional (2-D) coding and signal processing algorithms and architectures within the framework of 2-D magnetic recording (TDMR) along with read head engineering and changes to the recording physics. We also provide an overview of novel channels engineering solutions covering all aspects of TDMR channels driven from a systems science perspective. The innovations and research advances described in this article may serve a broad engineering audience in other areas as well. © 2021 IEEE.

关键词： Magnetic recording

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Homophonic Coding for the Noisy Nanopore Channel with Constrained Markov Sources

Homophonic Coding for the Noisy Nanopore Channel with Constr...

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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： McBain, Brendon Viterbo, Emanuele Saunderson, James Monash University Department of Electrical & Computer Systems Engineering Clayton Australia

ISBN: (纸本)9781665475549

This paper considers coding schemes for the noisy nanopore channel that models the nanopore sequencer in DNA storage. Our approach involves designing a target Markov source subject to general source constraints, including the homopolymer run-length and GC constraints. We propose a concatenated coding scheme with an inner homophonic code and generic outer error-correction code. The inner code maps binary i.i.d. sources to the target quaternary Markov source by minimising error in the empirical Markov distribution, which measures its "Markov-like"behaviour. This leads to the proposed low-complexity, near-optimal soft decoder for the inner code, demonstrated through numerical results. © 2023 IEEE.

关键词： Nanopores

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Parameter estimation in solar power plant systems: a comparative study of recursive and iterative techniques

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Sustainable Energy Research 2024年第1期11卷 1-12页

作者： Sadeghi, Kiavash Hossein Shafikhah, Mahmood Marashian, Arash Roshandel, Emad Razminia, Abolhassan Department of Electrical Engineering Faculty of Intelligent Systems Engineering and Data Science Persian Gulf University Bushehr Iran Process Control Laboratory Faculty of Natural Sciences and Engineering Åbo Akademi University Turku Finland College of Science and Engineering Flinders University Adelaide Australia

The development of a dynamic model for a popular implemented solar power plant is a critical task for power engineers aiming to enhance the plant’s performance and reliability. In this study, we utilized the prediction error method (PEM), a robust algorithm for system identification, to capture the plant’s operational characteristics with precision. Additionally, we employed both recursive and hierarchical algorithms to identify the system parameters effectively. The results from each identification method are rigorously quantified and analyzed, allowing for a detailed comparison of their performance. This comprehensive evaluation not only highlights the strengths and weaknesses of each approach, but also provides valuable insights into their practical applications in the context of solar power systems. © The Author(s) 2024.

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Reservoir Computing Utilizing Ferroelectric-Gate-Insulator FETs and Capacitors

Reservoir Computing Utilizing Ferroelectric-Gate-Insulator F...

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2023 International Conference on IC Design and Technology, ICICDT 2023

作者： Takagi, Shinichi Toprasertpong, Kasidit Nako, Eishin Wang, Zeyu Suzuki, Rikuo Min, Shin-Yi Takenaka, Mitsuru Nakane, Ryosho The University of Tokyo Department of Electrical Engineering and Information Systems Tokyo Japan

ISBN: (纸本)9798350319316

HfO2-based ferroelectric-gate-insulator FETs (FeFETs) and metal/ferroelectrics/metal (MFM) capacitors are promising devices for AI computing applications. We have recently proposed and experimentally demonstrated physical reservoir computing using dynamic polarization switching of HfO2-based Si FeFETs and MFM capacitors. Here, history-dependent current waveforms of FeFETs are utilized for AI tasks. In this paper, we introduce the basic concept of reservoir computing using FeFETs, the fundamental characteristics, and an example of applications to speech recognition. In particular, to solve the problem of RC performance degradation under negative voltage conditions, which is a drawback of using a single n-FeFET, we describe a scheme that combines original and inverted inputs and obtains complementary outputs. © 2023 IEEE.

关键词： Hafnium oxides

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Sensing Performance Analysis of Mobile Robot Navigation Based on Depth Camera and Lidar

Sensing Performance Analysis of Mobile Robot Navigation Base...

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2023 International Conference on Computer Science, Information Technology and engineering, ICCoSITE 2023

作者： Afrisal, Hadha Sofwan, Aghus Widayat, Widayat Isnanto, R. Rizal Diponegoro University Electrical Engineering Department Study Program of Professional Engineers Semarang Indonesia Diponegoro University Faculty of Engineering Electrical Engineering Department Semarang Indonesia Diponegoro University Study Program of Professional Engineers Faculty of Engineering Semarang Indonesia

ISBN: (纸本)9798350320954

One of the potential implementations of mobile robots in mitigating the risk of communicable diseases is for delivering items and handling materials with no-human contact. In that scenario, mobile robots require the capability of performing simultaneous multi-object detection and distance estimation for dynamic exploration in a real-world environment. Some existing research papers have contributed to the development of object detection or distance estimation, separately. However, there is still a lack of studies on simultaneous multi-object detection and distance estimation for robot navigation, especially in terms of performance analysis of the integrated techniques. One of the most challenging issues of integrating multi-object detection and distance estimation is the validation and evaluation of the type of objects with their relevant estimated distance to the robot. For that reason, this research aims to analyze the mobile robot's sensing performance in integrated simultaneous multi-object detection and distance estimation during navigation scenarios. A depth camera of Intel RealSense D455 and a rotating LIDAR of Slamtec RPLidar A1M8 are utilized in the experiments. The result of experiments shows that the object detection algorithm using Mobilenet SSD V2 can perform an accuracy of 74%, with precision, recall, and F1-Score consecutively achieving 74,54%, 74,00%, and 74,22%. The multi-object distance estimator also performs satisfactory results with a low measurement average error of 10.3 cm for indoor experiments. The integrated multiobject detector and distance estimator system can work in a real-time mode of 30 FPS, thence significantly improving the navigation performance of the mobile robot. © 2023 IEEE.

关键词： Object detection

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Indigenous Community Connectivity: Enhancing LoRaWAN Performance Through Machine Learning in Palm Oil Plantations 15

Indigenous Community Connectivity: Enhancing LoRaWAN Perform...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Abdullah, Nor Fadzilah Norabid, Ammar Zaid Alobaidy, Haider A.H. Abu-Samah, Asma Maizan, Nur Hasinah Najiah Nordin, Rosdiadee Universiti Kebangsaan Malaysia Ukm Faculty of Engineering and Built Environment Wireless Research@UKM Department of Electrical Electronic and Systems Engineering Bangi43600 Malaysia Universiti Kebangsaan Malaysia Ukm Faculty of Engineering and Built Environment Department of Electrical Electronic and Systems Engineering Bangi43600 Malaysia College of Information Engineering Al-Nahrain University Department of Information and Communications Engineering Baghdad Iraq School of Engineering and Technology Sunway University Department of Engineering Selangor Bandar Sunway47500 Malaysia

ISBN: (纸本)9798350364637

The Internet of Things (IoT) has gained traction in agriculture. In Malaysia, palm oil plantation is the largest agricultural sector, which also offers jobs for indigenous communities in remote areas. This study explores the potential of LoRaWAnnetworks to enhance connectivity for IoT applications in palm oil plantations by developing a machine learning-based signal attenuation model at the 923 MHz LoRa frequency band. This model addresses the limitations of existing empirical models, providing more accurate predictions for LoRaWAnnetwork planning and optimization. Measurements were conducted under various conditions, including line-of-sight (LOS) and nonline-of-sight (NLOS) scenarios, with different gateway heights of 2.1m and 4.5m. The predictive machine learning (ML) model incorporated features such as 3D distance, environment type, gateway height, average branch width, and tree density. The results demonstrated a higher signal attenuation at 4.5m gateway height compared to 2.1m. The developed ML model achieved an accuracy of 87%, with an average attenuation error of 2.5 dB. This study offers a robust methodology for optimizing gateway placement, thereby enhancing the efficiency and cost-effectiveness in IoT-based palm oil plantations. © 2024 IEEE.

关键词： Gateways (computer networks)

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Implantable UWB Microstrip Patch Antenna for Biomedical Applications 5

Implantable UWB Microstrip Patch Antenna for Biomedical Appl...

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5th International Conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Ishraq, Sadman Imran, Md Al Alam, Khorshed Khan, Mohammad Monirujjaman North South University Department of Electrical and Computer Engineering Dhaka Bangladesh Lamar University Phillip M. Drayer Department of Electrical Engineering TX United States Lamar University Industrial and Systems Engineering Department TX United States

ISBN: (纸本)9798331530013

To satisfy the requirements of UWB (3.1-10.6 GHz), a novel implanted ultra-wideband (UWB) antenna with a frequency range of 3.07-13.7 GHz has been developed, targeting biomedical applications. The antenna's performance was analyzed at 4 GHz, 6 GHz, 8 GHz, and 10 GHz in both in-body and free-space environments to ensure optimal functionality. The primary focus of the design is to create a compact, cost-effective, and high-performance antenna tailored for medical and healthcare applications. The radiating element consists of a rectangular patch fabricated on an FR-4 substrate, with total dimensions of 30\times 27\times 1.6\ \textmm^3. A partial ground plane is incorporated to achieve ultra-wideband characteristics, enabling a 10.63 GHz bandwidth that spans frequencies from 3.07 GHz to 13.7 GHz in open space. To evaluate the antenna's performance under implantation conditions, three human tissue layers are incorporated into the design. Key features such as radiation characteristics, gain, and directivity validate its suitability for use within the human body. The entire design process, including simulations and performance evaluations, was carried out using the CST Studio Suite software. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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Optimizing Solar-Based DGs Allocation to Minimize the Impact of EVCS and Emission Reduction in Distribution systems 10

Optimizing Solar-Based DGs Allocation to Minimize the Impact...

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10th International Conference on electrical Energy systems, ICEES 2024

作者： Suresh, T.D. Parimala, V. Thirumalai, M. Mohamed Riyasdeen, T. Thirumalai, M. Yuvaraj, T. Saveetha Engineering College Department of Electrical and Electronics Engineering Chennai602105 India KPR Institute of Engineering and Technology Department of Electrical and Electronics Engineering Coimbatore641407 India Saveetha Engineering College Department of Electronics and Communication Engineering Chennai602105 India Chennai Institute of Technology Centre for Smart Energy Systems Chennai600069 India

ISBN: (纸本)9798350353778

The swift growth in electric vehicle (EV) adoption, propelled by its low CO2 emissions and negligible operational expenses, has catalyzed investigations into enhancing the distribution of solar-based distributed generators (SDGs) within radial distribution systems (RDS). Integrating EV charging stations (EVCS) into current grids presents challenges, including power losses and voltage variations, exacerbated by the increasing penetration of SDGs. This study introduces an objective framework to optimize the allocation of SDGs and EVCS for power loss and emission reduction. Using the political optimization algorithm (POA), the model incorporates vehicle-to-grid (V2G) capabilities. The IEEE 33-bus test RDS is utilized for this study. The POA optimization approach determines the optimal siting and capacity for EVCS and SDGs. Results show that SDGs effectively mitigate the impact of EV charging and reduce emissions. © 2024 IEEE.

关键词： DC distribution systems

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Photovoltaic System Realizing Reduced Power Rating and Circuit Volume in Combination with Partially Connected Converter and Differential Power Processing Converter

Photovoltaic System Realizing Reduced Power Rating and Circu...

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2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2023

作者： Sugiura, Keita Yabuki, Joji Uno, Masatoshi Ibaraki University Department of Electrical and Electric Systems Engineering Ibaraki Japan

ISBN: (纸本)9798350314274

In photovoltaic (PV) systems consisting of multiple PV panels connected in series, conventional converters require a large power rating due to handling the power generated by all panels, resulting in increased circuit volume. A PV system in which a converter is partially connected to series-connected panels has been proposed to reduce power rating. However, a partially connected converter triggers the mismatch in panel characteristics, leading to decreased energy yield. This paper proposes a novel PV system in combination with the partially connected converter and a differential power processing (DPP) converter that can unify panel voltage. By utilizing the DPP converter that is gaining attention as a solution to partial shading issues, the proposed system realizes not only eliminating panel voltage imbalance and enhancing energy yield but also a reduction in power rating and circuit volume by the partially connected converter. Theoretical analysis of a PV string comprising four series panels demonstrated that in addition to the power rating reduction of up to 58%. The performance evaluation of the conventional system and the proposed system in terms of circuit volume suggests that the proposed system achieves circuit miniaturization than the conventional system. Experimental verification of PV systems using prototypes demonstrated that in addition to energy yield enhancement of 12% by the DPP converter, the proposed system achieved an overall efficiency of up to 98%. © 2023 IEEE.

关键词： Timing circuits

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