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A Resistor-Based Time-Domain CMOS Temperature Sensor With +0.9°C/-0.9°C Inaccuracy (3σ) from -40°C to 125°C

IEEE Sensors Journal 2025年第10期25卷 17374-17383页

作者： Chen, Dongjian Yang, Luhan Zhang, Yuheng Zhang, Zhong Wu, Kejun Wang, Yan Ning, Ning Yu, Qi Li, Jing University of Electronic Science and Technology of China State Key Laboratory of Electronic Thin Films and Integrated Devices Chengdu610054 China National Key Laboratory of Integrated Circuits and Microsystems Chongqing400060 China

As the functionality of System-on-Chip (SoC) devices continues to increase, the issue of chip heating becomes more severe. Real-time temperature detection with on-chip temperature sensors for effective thermal management has become increasingly important. This paper presents a CMOS temperature-to-digital converter based on resistor ratios. It converts temperature to frequency by two relaxation oscillators of identical structure, utilizing resistors with different temperature coefficients, thereby quantizing the temperature in the time domain. It effectively integrates the advantages of resistor sensing and time-domain quantization, including high accuracy, high flexibility, high compaction, and low power noise sensitivity. The prototype was fabricated using a 130 nm BCD process, occupying a compact area of 0.025mm2. It achieves a resolution of 86mK and an inaccuracy (3σ) of ±0.9°C following two-point calibration across the temperature range of -40°C to 125°C. The supply sensitivity remains below 4°C/V for voltage levels ranging from 1.3V to 1.6V. The temperature sensor works without external reference voltage or clock, features a conversion time of 0.12ms and consumes 169μW at 25°C. It is particularly suitable for applications in System-on-Chip (SoC). © 2001-2012 IEEE.

关键词： System-on-chip

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Thermal stability of Pd-Au core-shell nanostructures in an in-situ liquid TEM 4

Thermal stability of Pd-Au core-shell nanostructures in an i...

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2024 4th International Conference on Advanced Materials and Chemical Engineering, AMCE 2024

作者： Meng, Dehuan Liu, Shuai Wang, Weiping Wang, Zixin Hu, Xiaoyan Zhang, Xue Information Science Academy of China Electronics Technology Group Corporation Beijing China National Key Laboratory of Integrated Circuits and Microsystems Beijing100042 China China

The investigation of the thermal stability and evolution of Pd-Au core-shell nanostructures across various temperatures proceeded with in situ heating transmission electron microscopy (TEM) along with spectral analysis techniques. In situ heating transmission electron microscopy (TEM) was utilized to examine the morphology and elemental distribution of core-shell nanostructures composed of Pd0.5-Au0.5 and Pd0.9-Au0.1, which were synthesized via the seed growth technique. Compared with the Pd0.5-Au0.5 core-shell nanostructures, the Pd0.9-Au0.1 core-shell nanostructures have better thermal stability. © Published under licence by IOP Publishing Ltd.

关键词： Shells (structures)

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Ultrafast ferroelectric field-effect transistors with low operating voltage based on van der Waals heterostructures 10

Ultrafast ferroelectric field-effect transistors with low op...

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2024 10th International Forum on Manufacturing Technology and Engineering Materials, ICMTEM 2024

作者： Meng, Dehuan Liu, Shuai Wang, Weiping Wang, Zixin Hu, Xiaoyan Zhang, Xue Information Science Academy China Electronics Technology Group Corporation Beijing China National Key Laboratory of Integrated Circuits and Microsystems Beijing100042 China China

Ferroelectric field-effect transistors, characterized by low operating voltages and ultra-high speeds, are an important non-volatile memory device concept in modern microelectronics. Here, we show ferroelectric field-effect transistors using CuInP2S6 as the ferroelectric layer and MoS2 as the semiconductor channel layer. Thanks to optimized material thicknesses and clean, trap-free interfaces, we have achieved high-performance ferroelectric field-effect transistors with operating voltage as low as 1.5 V and an ultrafast speed of 20 ns. Our devices have a large on/off ratio of about 106 and a large memory window of about 1.7 V. Our results suggest that ferroelectric field-effect transistors are promising candidates for next-generation non-volatile memory applications. © Published under licence by IOP Publishing Ltd.

关键词： Van der Waals forces

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A Multi-Location Enhanced Multi-Scale Feature Fusion Skin Lesion Segmentation Network Based on U-shaped Network 8

A Multi-Location Enhanced Multi-Scale Feature Fusion Skin Le...

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8th International Conference on Video and Image Processing, ICVIP 2024

作者： Wu, Rongqing Song, Haixing Zeng, Xuqing Li, Guanglian Zhang, Junyu He, Fuyun Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips School of Electronic and Information Engineering Guangxi Normal University Guilin China Key Laboratory of Integrated Circuits and Microsystems Guangxi Normal University Education Department of Guangxi Zhuang Autonomous Region Guilin China

ISBN: (数字)9781510689244

ISBN: (纸本)9781510689237

With the continuous development of deep learning, computer-aided diagnosis reduces the pressure of dermatologists. Although many U-Net-based convolution neural networks can achieve effective segmentation, they still need to be improved when faced with challenging skin lesion segmentation tasks such as fuzzy and irregular lesions. To this end, we propose a skin lesion segmentation algorithm (MSMF-Net) based on U-shaped network architecture, which mainly includes the following aspects: the feature distribution of different encoding stages are fused and fully utilised by the EFM module. To better handle high-level semantic features, multiscale and attention parallel module (MS-AM) is introduced at the bottleneck of the network. Attention bridging module (ABM) is used at skip connection, which enables effective local and global information fusion and provides rich feature information for decoding. The decoding fusion module (DFM) processes the decoded information by flexibly embedding channel and spatial attention into the fusion process, so that the information is more concentrated in the lesion area. Our network is compared with other state-of-the-art methods on two public datasets and obtains the best results. © 2025 SPIE.

关键词： Convolutional neural networks

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The influences of mirror deflection on the surface shapes of different MEMS mirror structures 7

The influences of mirror deflection on the surface shapes of...

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7th Optics Young Scientist Summit, OYSS 2024

作者： Zhang, Meng Wang, Weiping Cao, Jing Liu, Song Hu, Xiaoyan Yang, Cheng Ao Information Science Academy of China Electronics Technology Group Cooperation Beijing100042 China National Key Laboratory of Integrated Circuits and Microsystems Beijing100042 China Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China

ISBN: (数字)9781510688377

ISBN: (纸本)9781510688360

The MEMS Fabry-Perot cavity length can be tuned by moving the MEMS micro mirror to achieve narrowband filtering of the incident continuous spectrum. However, the mirror surface shape would be changed with the deflection of the MEMS micro mirror, affecting the bandwidth and transmittance of the transmission spectrum. By using finite element modeling and simulation, the variation of the surface shapes of different MEMS mirror structures with the mirror deflection were studied. The stress distribution introduced by the mirror deflection were also characterized and the reason for the variation of the surface shapes were also analyzed. By selecting an appropriate elastic beam mounted on the movable micro mirror, the influence of stress introduced by the mirror deflection on the mirror surface shapes could be reduced. The sensitivity of the spectrum filtering performance to the mirror deflection could be lowered to improve the robustness. © 2025 SPIE.

关键词： Fabry-Perot interferometers

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The Pixel Design of a SPAD-Based TOF Sensor for 3D Imaging 4

The Pixel Design of a SPAD-Based TOF Sensor for 3D Imaging

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4th International Computational Imaging Conference, CITA 2024

作者： Zixin, Wang Jing, Cao Rui, Min Jun, Cao Weiping, Wang Xue, Zhang Information Science Academy of China Electronics Technology Group Corporation Beijing100042 China National Key Laboratory of Integrated Circuits and Microsystems Beijing100042 China Beijing Institute of Electronic System Engineering Beijing100854 China North China Research Institute of Electro-optics Beijing100015 China

ISBN: (纸本)9781510688834

This paper presents a pixel design of SPAD-based TOF sensor fabricated in CMOS technology. The pixel integrates a p-well/n-well SPAD device and an active quenching circuit. To reduce the wrong photon counts coursed by DCR and the background, 2×2 SPADs and quenching units are assigned with a time-to-digital converter (TDC).The TDC is based on a ring-oscillator to achieve high time measurement accuracy. The sensor is fabricated in 180-nm CMOS technology. The simulation results show the active quenching circuit effectively reduces the dead time down to 8 ns. The TDC helps the system achieve time measurement with a precision of 150 ps. © 2025 SPIE.

关键词： CMOS integrated circuits

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A Novel Coprime Nested Array with Enhanced DOFs and Reduced Mutual Coupling for DOA Estimation of Noncircular Sources

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IEEE Transactions on Vehicular Technology 2025年 1-13页

作者： Peng, Zhe Gong, Qishu Xie, Huikai School of Integrated Circuits and Electronics Beijing100081 China BIT Chongqing Institute of Microelectronics and Microsystems Chongqing401332 China Beijing Institute of Control and Electronics Technology Key Laboratory of Information System and Technology Beijing100038 China

Recently, many sparse array configurations have been designed for direction of arrival (DOA) estimation of noncircular sources due to their capability of constructing high-performance difference-sum coarray. Nested array, coprime array, along with their improved structures are the most commonly used array configurations. Nested arrays could provide O(R2) degrees of freedom (DOFs) with only R sensors, but suffer from severe mutual coupling effect owing to closely arranged elements. Coprime arrays generally offer a lower number of DOFs than nested arrays, but are more robust to mutual coupling effect due to sparser array structure. Unfortunately, existing sparse arrays cannot possess the benefits of nested arrays and coprime arrays at the same time within the framework of difference-sum coarray. To compensate for the above shortcoming, we first analyze the nesting property for difference coarray, and generalize the nesting property to difference-sum coarray, allowing nearly half of the sensors to be removed from dense subarray. Then, a new nested configuration called thinned coprime nested array (TCNA) is proposed, whose dense subarray is a coprime structure that satisfies the aforementioned nesting property. TCNA can generate a comparable number of DOFs to nested arrays due to the nesting property between two subarrays. Meanwhile, the mutual coupling effect is greatly reduced since its dense subarray is replaced with a coprime structure, which limits the number of sensor pairs with small spacing. Therefore, TCNA is able to combine the advantages of both nested array and coprime array. Finally, simulations verify the superiority of TCNA with respect to DOF ratio, coupling leakage, and DOA estimation accuracy. © 1967-2012 IEEE.

关键词： Direction of arrival

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A multi-strategy enhanced dung beetle algorithm for solving real-world engineering problems

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Artificial Intelligence Review 2025年第8期58卷 1-79页

作者： Mao, Zhengxing Yang, Zhen Luo, Dan Lin, Dong Jiang, Qinghong Huang, Guoxian Liao, Zhixian College of Electronic and Information Engineering Guangxi Normal University Guilin China Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips School of Electronic and Information Engineering Guangxi Normal University Guilin China Key Laboratory of Integrated Circuits and Microsystems (Guangxi Normal University) Education Department of Guangxi Zhuang Autonomous Region Guilin China Guilin University Guilin China

The Dung Beetle optimization (DBO) algorithm is an innovative and effective metaheuristic algorithm widely recognised for its excellent numerical optimization performance. However, DBO converges slowly and tends to fall into local optima due to the imbalance between exploration and exploitation, the lack of collaborative search capability and population diversity. To overcome these challenges, this paper proposes a dung beetle optimization algorithm based on multi-strategy collaborative enhancement (MDBO). The algorithm constructs a “search-enhance-escape” collaborative optimization framework through adaptive regulation and elite information sharing, and contains three major innovations: (1) a dual adaptive search strategy, which combines the adaptive contraction mechanism of the leader’s centre of mass and the brownian bidirectional crossover perturbation strength regulation, to enhance the population diversity and collaborative search ability of the dung beetle, achieving a dynamic balance between exploration and exploitation; (2) Elite Enhanced Solution Quality (EESQ) mechanism, which improves the quality of both the current local and global optimal positions and accelerates convergence through structured elite information and dual-phase adaptive perturbation; and (3) Dynamic Oppositional Learning (DOL), which introduces an asymmetric adaptive perturbation in the dung beetle’s foraging and Breeding phases and enhances the ability to escape from local optima. The three act synergistically to achieve a more efficient optimised search. The performance of MDBO is evaluated using the IEEE CEC 2017, CEC 2019 and CEC 2020 benchmarking functions. Compared to the DBO algorithm, the MDBO algorithm improves the convergence accuracy and stability on the CEC2017 benchmark functions by 60.91 % and 63.98 %, respectively. For the CEC2019 benchmark functions, the corresponding improvements are 54.47 % and 41.36 %, while for the CEC2020 benchmark functions, they are 50.71 % and 55

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FragMangro: A cross-domain zero-shot model for monitoring fragmented mangrove ecosystems

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Journal of King Saud University Computer and Information Sciences 2025年第4期37卷 1-22页

作者： Zhang, Ruoxin An, Angela Cen, Mingcan Zhang, Chong Huangfu, Aimee Vinnakota, Sunny Song, Shuxiang Guangxi Key Laboratory of Brain-Inspired Computing and Intelligent Chips School of Electronic and Information Engineering Guangxi Normal University Guilin China Key Laboratory of Integrated Circuits and Microsystems (Guangxi Normal University) Education Department of Guangxi Zhuang Autonomous Region Guilin China Faculty of Science Engineering and Built Environment Deakin University Geelong Australia Academies Australasia Polytechnic Melbourne Australia

Monitoring fragmented mangrove ecosystems presents significant challenges due to their sparse distribution and the limitations of traditional detection methods, which often suffer from poor convergence and high rates of false positives and false negatives. To address these issues, we propose FragMangro, a cross-domain zero-shot detection model designed to enhance the accuracy and generalization of mangrove detection. FragMangro integrates parallel multi-scale convolution for progressive dimensional upscaling, improving spectral feature extraction. Additionally, it employs a dynamic learning rate and iterative control algorithm, which adaptively adjusts learning rates and training epochs based on loss monitoring to prevent suboptimal convergence. We conducted extensive experiments in three major mangrove reserves in Guangxi, China. The results demonstrate that FragMangro achieves over 98% accuracy, an average F1 Score exceeding 85%, and the Intersection over Union(IoU) surpassing 74%, significantly outperforming conventional methods such as support vector machines (SVM), random forests (RF), and k-nearest neighbors (KNN). Specifically, in the Beilun estuary, FragMangro exhibits a 0.96% improvement in accuracy over RF, a 17.24% higher F1 Score than SVM, and an 18.08% higher IoU than KNN. Furthermore, the model’s adaptive learning rate and dynamic adjustment strategy enhance convergence efficiency and feature representation. FragMangro serves as an effective tool for ecological monitoring and mangrove conservation, with broader implications for environmental protection and sustainable ecosystem management.

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Interface-Engineered Porous PDMS-MWCNTs Composites Through HPC-Mediated 'Sponge Pump Absorption' Strategy for High-Performance Triboelectric Nanogenerators

SSRN

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SSRN 2025年

作者： Luo, Luyao Zhang, Bin Chai, Dawei Lei, Yanzi Zhang, Danling Xu, Kuang Chen, Niandi Hu, Shiyu Peng, Huiling Wang, Hua College of Physics Science and Technology Guangxi Normal University Guilin541004 China Guangxi Key Laboratory of Brain-Inspired Computing and Intelligent Chips School of Electronic and Information Engineering Key Laboratory of Integrated Circuits and Microsystems Education Department of Guangxi Zhuang Autonomous Region School of Electronic and Information Engineering Guangxi Normal University Guilin541004 China

PDMS-CNTs composite-based TENGs exhibit promising potential in mechanical energy harvesting due to their flexibility and processing versatility;however, the inherent limitations of PDMS and poor dispersion of CNTs severely restrict their performance. Despite various modification strategies, existing approaches often compromise material properties, making it crucial to develop effective solutions for high-performance TENG devices. Herein, we introduce an innovative approach to fabricate high-performance TENGs based on porous polydimethylsiloxane/multi-walled carbon nanotubes/hydroxypropyl cellulose (PDMS-MWCNTs/HPC) composites through a unique "sponge pump absorption" method. Using HPC as a molecular bridge enables stable MWCNTs dispersion and uniform deposition within porous PDMS framework. The resultant composite foam exhibits exceptional mechanical resilience with 99% recovery after 60% compression and enhanced electrical output, achieving peak voltage and current of 149.09 V and 262.72 nA at 87% porosity under 40 N force. The hierarchical porous structure, formed by unfiltered NaCl templates, significantly enhances surface charge density and charge transfer efficiency, while maintaining essential dielectric properties through HPC incorporation. The device demonstrates reliable performance in powering LEDs and exhibits distinct electrical responses to various mechanical deformations including stretching, twisting, and bending. This strategy presents an effective approach for fabricating high-performance TENG devices with great potential in self-powered sensing and sustainable energy harvesting applications. © 2025, The Authors. All rights reserved.

关键词： Polydimethylsiloxane

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