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Training Sample Selection Method Based on Model-Data-Driven Maritime Radar Target Detection

IEEE Sensors Journal 2025年第11期25卷 19896-19908页

作者： Chen, Wenhao Li, Zhengzhou Ding, Zhiquan Qin, Tianqi Azeem, Abdullah Gan, Haolin Li, Aoran Chongqing University School of Microelectronics and Communication Engineering Chongqing400044 China Sichuan Institute of Aerospace Electronic Equipment Chengdu610000 China Chongqing University School of Computer Science Chongqing400044 China

Multidimensional feature extraction and fusion algorithms are widely utilized to improve the performance of radar maritime target detection. However, these methods often suffer from underfitting and overfitting issues due to the uneven distribution of training samples. To enhance the performance of maritime target detection while mitigating the issues of underfitting and overfitting, an effective approach is to improve the comprehensiveness of training samples. This study proposes a novel training sample selection method based on model-data-driven maritime radar target detection. A surrogate equation is constructed in this study using existing empirical models and measured data. Subsequently, it dynamically selects training samples exhibiting strong coverage and compactness, guided by the global and local variation characteristics of this surrogate equation. Experimental results show that when using the same feature and classifier conditions, the feature classifiers formed by the proposed method outperform those built using traditional sample selection approaches (such as random assignment, expert knowledge, and statistical methods). This superiority is evident across various target types, including daily vessels, small fishing boats, and marine buoys, as well as under diverse sea conditions and observation parameters like incidence angles. This approach not only enhances the performance of maritime target detection but also ensures the generalization ability of the method. © 2001-2012 IEEE.

关键词： Fishing vessels

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STELLA+: Expanding the Research Potential for Long-Term Deep Brain Stimulation Studies in Freely-Moving Rodents

STELLA+: Expanding the Research Potential for Long-Term Deep...

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18th International Joint Conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

作者： Plocksties, Franz Niemann, Christoph Fauser, Mareike Storch, Alexander Timmermann, Dirk Haubelt, Christian Institute of Applied Microelectronics and Computer Engineering University of Rostock Germany Department of Neurology University of Rostock Rostock Germany

Rodent models are essential for our understanding of Deep Brain Stimulation (DBS) mechanisms. How ever, most existing preclinical devices lack to support the broad experimental range required for modern DBS approaches. This paper presents the neurostimulation system STELLA+, which aims to enhance the scope of long-term DBS research in rodent models. STELLA+ upgrades the previous STELLA system that has been successfully used in several rodent studies. It features technical and architectural enhancements to in crease performance and functionality for long-term DBS experiments. Initial in vitro findings demonstrate that STELLA+ delivers charge-balanced, current-controlled pulses with high accuracy across a range of stimula tion settings up to a compliance voltage of 4.3V. With a maximum current consumption of 25.1µA at 4.3V in bilateral DBS-on mode, STELLA+ enables long-term experiments of 6.8 weeks using a 29 mAh lithium ion battery. Additionally, STELLA+ includes a Bluetooth Low Energy module and the capability to acquire and compute on-board physiological data, enabling adaptive DBS applications. All these features are housed within a compact size of 21x14.5x4mm, minimizing the impact on rodents. Compared to the other state of-the-art DBS devices, STELLA+ demonstrates enhanced efficiency in stimulus generation and a uniquely comprehensive feature set. © 2025 by SCITEPRESS– Science and Technology Publications, Lda.

关键词： Brain

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Thin-film PMUTs:a review of over 40 years of research

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Microsystems & Nanoengineering 2023年第4期9卷 1-17页

作者： Kaustav Roy Joshua En-Yuan Lee Chengkuo Lee Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Center for Intelligent Sensor and MEMS(CISM) National University of SingaporeSingapore 117608Singapore Institute of Microelectronics A*STARSingapore 117685Singapore

Thin-film PMUTs have been important research topics among microultrasound experts,and a concise review on their research progress is reported *** rigorous surveying,scrutinization,and perception,it has been determined that the work in this field began nearly 44 years ago with the primitive development of functional piezoelectric thin-film *** date,there are three major companies commercializing thin-film PMUTs on a bulk *** commercialization illustrates the extensive contributions made by more than 70 different centers,research institutes,and agencies across 4 different continents regarding the vast development of these devices’design,manufacturing,and *** review covers these important contributions in a short yet comprehensive manner;in particular,this paper educates readers about the global PMUT outlook,their governing design principles,their manufacturing methods,nonconventional yet useful PMUT designs,and category-wise *** comparison charts of thin-film piezoelectric material used in PMUTs,and their categorically targeted applications are depicted and discussed to enlighten any MEMS designer who plans to work with ***,each relevant section features clear future predictions based on the author’s past knowledge and expertise in this field of research and on the findings of a careful literature *** short,this review is a one-stop time-efficient guide for anyone interested in learning about these small devices.

关键词： film piezoelectric companies

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Comprehensive Study of Hydrogen Gas Sensing Performance of an Amorphous In-Al-Zn-O (a-IAZO) Thin Film Synthesized With Pd Nanoparticles

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IEEE Transactions on Electron Devices 2023年第9期70卷 4837-4842页

作者： Niu, Jing-Shiuan Peng, Ren-You Chiu, Chao-Chun Tsai, Jung-Hui Hsu, Wei-Chou Lin, Kun-Wei Liu, Wen-Chau National Cheng-Kung University Institute of Microelectronics Department of Electrical Engineering Tainan70101 Taiwan National Kaohsiung Normal University Department of Electronic Engineering Kaohsiung802 Taiwan Academy of Innovative Semiconductor and Sustainable Manufacturing Institute of Microelectronics Department of Electrical Engineering Tainan70101 Taiwan Chaoyang University of Technology Department of Computer Science and Information Engineering Taichung41349 Taiwan

A novel hydrogen (H2) sensor produced by the combination of an amorphous indium-aluminum-zinc-oxide (a-IAZO) thin film and palladium (Pd) nanoparticles (NPs) is demonstrated and studied herein. Elemental and morphological analyses are employed to investigate the designed device structure. The use of Pd NPs effectively increase the specific surface area, spillover effect, and catalytic activity which substantially enhances the related H2 gas sensing performance. Excellent hydrogen sensing properties, including an ultrahigh sensing response of 9.6 × 105 accompanied by a short recovery time of 10 s under 1% H2/air gas and a lower sensing concentration of 1 ppm H2/air at 250 °C are obtained. Also, the produced device shows excellent selectivity and long-term stability in relation to H2 gas. The studied Pd NP/a-IAZO sensor also reveals merits including a simple device structure and relatively easy production process. © 1963-2012 IEEE.

关键词： Zinc oxide

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A Novel Interface between the Linux Kernel and ns-3 for Assessing Target Software in WLAN-Systems

A Novel Interface between the Linux Kernel and ns-3 for Asse...

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2022 International Symposium on Networks, computers and Communications, ISNCC 2022

作者： Steffen, Lukas Beichler, Benjamin Rethfeldt, Michael Timmermann, Dirk Haubelt, Christian Institute of Applied Microelectronics and Computer Engineering University of Rostock Germany

ISBN: (数字)9781665485449

ISBN: (纸本)9781665485449

The growing capabilities of wireless communication technologies such as WLAN-based systems enable their successful adoption in an ever-increasing range of applications. Particularly in the domain of the internet of things, the trend towards wireless interconnection is driven by its improved scalability and flexible, low-cost deployment compared to wired systems such as Ethernet. To handle the growing complexity of their design, developers need a process for early performance evaluation of these communication-intensive networked embedded systems. For this, established network simulation frameworks like ns-3 and OMNeT++ are often utilized. These frameworks require developers to model every part of their system, including the protocol stack and the target application they are developing. From the developers' perspective, a workflow that would enable them to use real target software as much as possible is desirable. The available solutions to couple real target software with a network simulation, however, often exhibit several limitations. These range from a lacking detail level of the channel simulation to the requirement of access to the source code of every part of the system under design, and often prevent adoption of these coupling solutions. In this paper, we propose a data interface for the established simulator ns-3 that allows coupling to the Linux kernel at a very low level of the protocol stack, namely the lower WLAN MAC layer. This interface allows the performance evaluation of WLAN-based systems, in which real target code of almost the entire software stack can be used. With such an interface, developers can write real target software and test it under different wireless network scenarios and channel conditions, powered by a simulation using ns-3. We show the practicality of our interface by comparing it to a simulation solely performed in ns-3, as well as to another framework for coupling real target software to a channel simulation. © 2022 IEEE.

关键词： Linux

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Memristive effects on an improved discrete Rulkov neuron model

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Science China(Technological Sciences) 2023年第11期66卷 3153-3163页

作者： BAO Han LI KeXin MA Jun HUA ZhongYun XU Quan BAO BoCheng School of Microelectronics and Control Engineering Changzhou UniversityChangzhou 213159China Department of Physics Lanzhou University of TechnologyLanzhou 730050China School of Computer Science and Technology Harbin Institute of TechnologyShenzhenShenzhen 518055China

A change in neuronal-action potential can generate a magnetically induced current during the release and propagation of intracellular *** better characterize the electromagnetic-induction effect,this paper presents an improved discrete Rulkov(ID-Rulkov)neuron model by coupling a discrete model of a memristor with sine memductance into a discrete Rulkov neuron *** ID-Rulkov neuron model possesses infinite invariant points,and its memristor-induced stability effect is evaluated by detecting the routes of period-doubling and Neimark-Sacker *** investigated the memristor-induced dynamic effects on the neuron model using bifurcation plots and firing ***,we theoretically expounded the memristor initial-boosting mechanism of infinite coexisting *** results show that the ID-Rulkov neuron model can realize diverse neuron firing patterns and produce hyperchaotic attractors that are nondestructively boosted by the initial value of the memristor,indicating that the introduced memristor greatly benefits the original neuron *** hyperchaotic attractors initially boosted by the memristor were verified by hardware experiments based on a hardware *** addition,pseudorandom number generators are designed using the ID-Rulkov neuron model,and their high randomness is demonstrated based onstrict test results.

关键词： neuron model invariant point memristive effect complex dynamics pseudorandom number generators

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A Simulation Study of n-ZnO/Perovskite/p-Cu2SnS3 Based Self-Powered Photodetector: Design and optimisation

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Materials Research Innovations 2023年第7期27卷 503-510页

作者： Yadav, Sanjeev Mani Pandey, Amritanshu Department of Electronics and Computer Science National Institute of Advanced Manufacturing Technology Jharkhand Ranchi India Centre for Research in Microelectronics Department of Electronics Engineering IIT-BHU Varanasi India

Perovskite has been widely used in the field of optoelectronics owing to its superb optoelectronic properties. The simplest fabrication along with low-temperature handling of perovskite-based planner structures (p-i-n or n-i-p) has drawn their potential impact in organic–inorganic lead halide optoelectronic devices. The poor conductivity, stability, and high processing cost of absorber materials hinder the optical performance of the device. The sandwiching of the perovskite as absorber materials between two inorganic materials working as electron transport layer (ETL) and hole transport layer (HTL) may be a possible solution. An active absorber perovskite (CH3NH3PbI3) assisted by two n-ZnO and p-CTS materials working as an ETL and HTL, respectively, has been used to maximize the overall performance of the proposed device. The resultant optimized device shows the maximum responsivity of ∼0.35 (A/W) for a broad visible spectrum (300–900 nm), while the EQE (%) reported in the range of 25–80%. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Photodetectors

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Fault Secured JPEG-Codec Hardware Accelerator with Piracy Detective Control using Secure Fingerprint Template 36

Fault Secured JPEG-Codec Hardware Accelerator with Piracy De...

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36th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2023

作者： Chaurasia, Rahul Reddy Asireddy, Abhinav Sengupta, Anirban Indian Institute of Technology Computer Science and Engineering Indore India Indian Institute of Technology Department of Computer Science and Engineering Indore India Indian Statistical Institute Advanced Computing and Microelectronics Unit Kolkata India

ISBN: (纸本)9798350315004

This paper presents a novel methodology to design fault secured JPEG-compression-decompression (codec) hardware accelerator with piracy detective control using secure fingerprint template of intellectual property (IP) vendor. In the proposed approach, firstly, the fault secured schedule for JPEG-codec design is generated from its behavioral description. Subsequently, in order to enable detective control against piracy, secure digital template corresponding to fingerprint biometric of IP vendor is generated and implanted into the design. In order to do so, firstly, fingerprint features are transformed based on IP vendor specified key-set. Subsequently, the generated secure fingerprint template in the form of encoded hardware security constraints is implanted into the design during behavioral/ high-level synthesis phase of integrated circuit (IC) design. The implanted hardware security constraints thereby ensure the seamless detection and isolation of fake/pirated design versions during piracy detection process, before their conjunction into system on chip (SoC) of electronic systems. The proposed approach achieves the following: i) fault secured hardware accelerator for JPEG-codec with integrated piracy detective control at negligible design cost overhead ii) higher resiliency against tampering attack and iii) lower probability of coincidence (indicating definitive proof of ownership for genuine IP vendor). © 2023 IEEE.

关键词： Fault detection

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Ammonia Sensing Performance of an Al-Doped SnO Thin Film Decorated With Platinum Nanoparticles

IEEE Electron Device Letters

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IEEE Electron Device Letters 2023年第12期44卷 2043-2046页

作者： Zhu, Bo-Xun Chiu, Chao-Chun Jian, Jia-Jin Lin, Kun-Wei Hsu, Wei-Chou Liu, Wen-Chau National Cheng Kung University Institute of Microelectronics Department of Electrical Engineering Tainan70101 Taiwan Chaoyang University of Technology Department of Computer Science and Information Engineering Taichung41349 Taiwan Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng Kung University Institute of Microelectronics Department of Electrical Tainan70101 Taiwan

A new ammonia (NH3) sensor based on the incorporation of an Al-doped SnO2 (ATO) thin layer and platinum (Pt) nanoparticles (NPs) is produced. The employed Pt NPs effectively enhance the ammonia sensing behaviors due to enlarged specific surface area and advanced catalytic ability of noble Pt metal. Compositional, elemental, and morphological analyses are made to check the designed structure. In the experiment, good ammonia detecting performance including an advanced sensing response of 817.2 with a small response (recovery) time of 35 s (7 s) under 1000 ppm NH3 gas and an extremely lower detectable level of 20 ppb NH3 are obtained at 275°C. Moreover, the presented sensor demonstrates prominent long-term (120 d) stability toward ammonia gas. © 1980-2012 IEEE.

关键词： Surface treatment

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An Indium-Gallium-Zinc-Oxide Layer Decorated With Gold Nanoparticles for Ultrahigh Sensitive Formaldehyde Gas Detection

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IEEE Transactions on Electron Devices 2023年第1期70卷 269-274页

作者： Niu, Jing-Shiuan Chen, Po-Lin Lin, Kun-Wei Tsai, Jung-Hui Hsu, Wei-Chou Liu, Wen-Chau Institute of Microelectronics Department of Electrical Engineering National Cheng-Kung University Tainan70101 Taiwan Department of Computer Science and Information Engineering Chaoyang University of Technology Taichung41349 Taiwan Department of Electronic Engineering National Kaohsiung Normal University Kaohsiung802 Taiwan Institute of Microelectronics Department of Electrical Engineering Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng-Kung University Tainan70101 Taiwan

An interesting formaldehyde (HCHO) gas sensor is fabricated using a sputtered indium-gallium-zinc-oxide (IGZO) layer decorated with gold (Au) nanoparticles (NPs). Based on the use of Au NPs, the efficiently increased surface area to volume (SA/V) ratio and catalytic reactivity cause the effective enhancement of HCHO gas sensing performance. Experimentally, under 20 ppm HCHO gas, an ultrahigh sensing response of 6855 with a response (recovery) time of 30 s (13 s) is obtained for the fabricated Au NP/IGZO sensor at 225 °C. A lower detectable content of 200 ppb HCHO/air gas at 225 °C is achieved. Furthermore, an improved GM(1, 1) model is used to enhance the prediction ability and meliorate data transmission efficiency within the acceptable reduction error range. This algorithm uses preprocessing to find the starting point of a sensing response and evaluate the influence of noise. This algorithm can efficiently improve the transmission efficiency without increasing the computational complexity. The studied device also displays the advantages of a simple structure, cost-effective production, and suitable application in the internet of things (IoT). © 1963-2012 IEEE.

关键词： Gas detectors

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