检索结果-内蒙古大学图书馆

Laser 3D Manufacturing XII 2025

作者： McLaughlin, Elizabeth M. Gerding, Maya Wu, Yongji Xiao, Hai Yao, Hai Department of Bioengineering Clemson University ClemsonSC29631 United States Photonics Technology Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University AndersonSC29625 United States

ISBN: (纸本)9781510684560

There are currently no effective take-home jaw motion tracking devices to monitor the symptoms in temporomandibular joint disorder (TMD). Existing methods consist of bulky lab equipment that lack a standard for TMD diagnosis. These devices are unable to provide critical data that occurs within a patient’s natural day-to-day life which can lead to inadequate management of TMD. This study presents the fabrication techniques explored to create a take-home wearable device capable of detecting jaw movements to aid in remote patient monitoring of TMD symptoms. The nightguard prototypes are 3D modeled using denture model STL files and printed in various dental and biomedical resins on a Form 3B+ stereolithography 3D printer by Formlabs. Embedded accelerometers are used to quantify jaw movements, and a CAD-modeled, 3D-printed denture model is used to simulate these movements. Extensive testing is conducted throughout the fabrication process to ensure accuracy and reliability. This proof-of-concept study aims to establish the feasibility of the device for future clinical trials, where AI integration for data analysis and further optimization of manufacturing methods will be explored to validate the device’s efficacy and user requirements. The potential impact of this device includes improved TMD management through continuous, at-home monitoring, leading to better patient outcomes. Future work will focus on refining the design and expanding the testing to a larger cohort to further validate the device’s performance and reliability. © 2025 SPIE.

关键词： Stereolithography

来源：评论

学校读者我要写书评

暂无评论

Approaching ~0.1ppb Frequency Stability in ~11MHz AlN-on-Si Dual-Ring Bulk Acoustic Wave Mems Resonator 38

Approaching ~0.1ppb Frequency Stability in ~11MHz AlN-on-Si ...

引用

38th IEEE International Conference on Micro Electro Mechanical systems, MEMS 2025

作者： Watkins, Connor A. Kaisar, Tahmid Rais-Zadeh, Mina Feng, Philip X.-L. University of Florida Department of Electrical & Computer Engineering GainesvilleFL32611 United States California Institute of Technology Jet Propulsion Laboratory PasadenaCA91109 United States

ISBN: (纸本)9798331508890

We report on excellent frequency stability (Allan deviation, or ADEV) down to ~0.1ppb-level measured by operating an aluminum nitride on silicon (AlN/Si) dual-ring bulk acoustic wave (BAW) MEMS resonator in three schemes: self-sustained oscillator (SSO), phase-locked loop (PLL), and open loop without feedback. The dual-ring BAW resonator is operated in its radial-extensional (RE) mode, with resonance frequency f0 = 11.08MHz and quality factor Q ≈ 6000. The best measured ADEV specifications are σA = 3.76×10-9 at averaging time τ ≈ 0.4s in SSO scheme, σA = 1.69×10-10 at τ ≈ 0.3s in PLL scheme, and σA = 1.23×10-10 at τ ≈ 4.8s for open-loop operation. This is the best short-term frequency stability performance reported to date among AlN piezoelectric MEMS resonators, suggesting suitability for applications where ppb- or sub-ppb level frequency stability is desired, such as real-time sensing and precise timing on chip. © 2025 IEEE.

关键词： Aluminum nitride

来源：评论

学校读者我要写书评

暂无评论

Fundamental Limits of Multiple-Access Integrated Sensing and Communication systems

引用

IEEE Transactions on Information Theory 2025年第6期71卷 4317-4341页

作者： Liu, Yao Li, Min Liu, An Ong, Lawrence Yener, Aylin Zhejiang University College of Information Science and Electronic Engineering Zhejiang Provincial Key Laboratory of Multi-Modal Communication Networks and Intelligent Information Processing Hangzhou310027 China University of Newcastle School of Engineering CallaghanNSW2308 Australia The Ohio State University Department of Electrical and Computer Engineering ColumbusOH43210 United States

A state-dependent discrete memoryless multiple access channel is considered to model an integrated sensing and communication system, where two transmitters wish to convey messages to a receiver while simultaneously estimating the state parameter sequences through echo signals. In particular, the sensing state parameters are assumed to be correlated with the channel state. In this setup, improved inner and outer bounds for capacity-distortion region are derived. The inner bound is based on an achievable scheme that combines message cooperation and joint compression of past transmitted codewords and echo signals at each transmitter, resulting in unified cooperative communication and sensing. The outer bound is based on the ideas of dependence balance for communication rate, genie-aided state estimator and rate-limited constraints on sensing distortion. The proposed inner and outer bounds are proved to improve the state-of-the-art bounds. Finally, numerical examples are provided to demonstrate that our new inner and outer bounds strictly improve the existing results. © 1963-2012 IEEE.

关键词： Signal distortion

来源：评论

学校读者我要写书评

暂无评论

NS3-Based Communication Network Modeling for Multi-Microgrid systems: Design and Evaluation

NS3-Based Communication Network Modeling for Multi-Microgrid...

引用

IEEE Green Technologies Conference (IEEE-Green)

作者： Ola Ali Osama A. Mohammed Department of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami FL USA

ISBN: (数字)9798331520182

ISBN: (纸本)9798331520199

This paper presents a communication emulation model for enhancing the efficiency of multi-microgrid (MMG) networks, employing Network Simulator 3 (ns3). MMG systems require robust communication frameworks for coordination, particularly under varying traffic conditions. The introduced model accommodates multiple local area networks (LANs) that support efficient communication across multiple autonomous AC microgrids. The developed model facilitates seamless bidirectional information exchange between the microgrids' local controllers and the MMG control center (MMGCC), employing TCP/IP protocol to ensure high data transmission integrity and low latency. A detailed design in C++ is demonstrated, including the configuration of the communication nodes, topology, communication links, and quality of service (QoS) analysis. The network performance is rigorously assessed across low and high traffic conditions, with performance metrics such as throughput, delay, and percentage packet loss at each node. Results confirm the effectiveness of the introduced model in sustaining minimal packet loss, high throughput, and low delays under dynamic operating scenarios. These findings establish the developed model as a viable solution for meeting the real-time communication requirements of MMG energy management systems.

关键词： Emulation Packet loss TCPIP Quality of service Microgrids C++ languages Throughput Real-time systems Delays Load modeling

来源：评论

学校读者我要写书评

暂无评论

Resilient Operation of DC Standalone Microgrids: Experimental Validation of Hybrid RNN-PI Control for Pulse Load Management

Resilient Operation of DC Standalone Microgrids: Experimenta...

引用

IEEE Green Technologies Conference (IEEE-Green)

作者： Ahmed Aghmadi Osama A. Mohammed Department of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami FL USA

ISBN: (数字)9798331520182

ISBN: (纸本)9798331520199

Effective energy storage system (ESS) management is critical for enhancing the performance of standalone DC microgrids, particularly when integrating renewable energy sources such as photovoltaic (PV) or wind systems. This research describes a new hybrid control technique to improve DC microgrid operations' efficiency and resiliency, especially when handling critical loads. This research presents a hybrid closed-loop control technique that uses Recurrent Neural Networks (RNNs) and Proportional-Integral (PI) controllers to address the complex issues of dynamic load situations and transient disturbances. The RNN evaluates voltage errors to generate accurate reference currents, which the PI controllers then adjust to improve the performance of the bidirectional converter. Unlike standard PI-PI controls, our hybrid approach is particularly effective at regulating pulsed power loads (PPLs) and enhancing system response to transitory situations. The experimental results show that the RNN-PI control scheme significantly improves voltage regulation and transient responsiveness, exceeding conventional performance and resilience techniques. This approach provides a convincing solution for enhancing microgrid systems' stability and efficiency in various real-world applications.

关键词： Renewable energy sources Recurrent neural networks PI control Voltage fluctuations Microgrids Robustness Voltage control Transient analysis Standards Resilience

来源：评论

学校读者我要写书评

暂无评论

Mechanical Design of a Feline Robot for Dynamic Scaling Testing 13th

Mechanical Design of a Feline Robot for Dynamic Scaling Tes...

引用

13th International Conference on Biomimetic and Biohybrid systems, Living Machines 2024

作者： Budzichowski, Amy Riddle, Shane Batchu, Rucha Chen, Tina Jackson, Clayton B. Nourse, William R. P. Quinn, Roger D. Department of Mechanical and Aerospace Engineering Case Western Reserve University ClevelandOH44106-7222 United States Department of Electrical Computer and Systems Engineering Case Western Reserve University ClevelandOH44106-7222 United States

ISBN: (纸本)9783031725968

Animal size impacts locomotion, due to its effect on the influence of gravity, inertia, and an animal’s internal elasticity and damping. We are developing a cat robot to further explore the impact of these four characteristics on animal locomotion. This paper details the mechanical design of this cat robot’s rear limbs, as well as the simulated validation of this design. In future work, we plan to design forelimbs with a floating scapula and test the robot in split-belt treadmill experiments similar to those done in mammalian experiments as we develop its synthetic nervous system controller. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Mammals

来源：评论

学校读者我要写书评

暂无评论

Chemical environment adaptive learning for optical band gap prediction of doped graphitic carbon nitride nanosheets

引用

Neural Computing and Applications 2025年第5期37卷 3287-3301页

作者： Chen, Chen Xu, Enze Yang, Defu Yan, Chenggang Wei, Tao Chen, Hanning Wei, Yong Chen, Minghan Intelligent Information Processing Laboratory Hangzhou Dianzi University Hangzhou China Department of Computer Science Wake Forest University Winston-SalemNC United States Department of Chemical Engineering Howard University WashingtonDC United States Texas Advanced Computing Center University of Texas at Austin AustinTX United States Department of Computer Science & Information Systems University of North Georgia DahlonegaGA United States

This study presents a new machine learning algorithm, named Chemical Environment Graph Neural Network (ChemGNN), designed to accelerate materials property prediction and advance new materials discovery. Graphitic carbon nitride (g-C3N4) and its doped variants have gained significant interest for their potential as optical materials. Accurate prediction of their band gaps is crucial for practical applications;however, traditional quantum simulation methods are computationally expensive and challenging to explore the vast space of possible doped molecular structures. The proposed ChemGNN leverages the learning ability of current graph neural networks (GNNs) to satisfactorily capture the characteristics of atoms' chemical environment underlying complex molecular structures. Our experimental results demonstrate more than 100% improvement in band gap prediction accuracy over existing GNNs on g-C3N4. Furthermore, the general ChemGNN model can precisely foresee band gaps of various doped g-C3N4 structures, making it a valuable tool for performing high-throughput prediction in materials design and development. © The Author(s) 2024.

关键词： Graphitic Carbon Nitride

来源：评论

学校读者我要写书评

暂无评论

Emerging Trends in AI-Powered IoT: Innovations, Key Challenges, and Future Directions

Emerging Trends in AI-Powered IoT: Innovations, Key Challeng...

引用

2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Abdelraouf, Hussien Abouyoussef, Mahmoud Fouda, Mostafa M. Fadlullah, Zubair Md Ibrahem, Mohamed I. School of Computer and Cyber Sciences Augusta University AugustaGA30912 United States North Carlina A&T State University Department of Computer Systems Technology GreensboroNC27411 United States Idaho State University Department of Electrical and Computer Engineering PocatelloID83209 United States Western University Department of Computer Science LondonON Canada

ISBN: (纸本)9798331504847

This survey provides a comprehensive overview of recent emerging technologies in artificial intelligence (AI) applied to the Internet of Things (IoT), highlighting their significance and applications across various domains. Our study covers key advancements, including Concept Drift, Transformers, TinyML, Explainable AI (XAI), and Federated Learning (FL). Concept Drift addresses changes in data patterns to maintain the accuracy of machine learning models in dynamic environments. Transformers revolutionize Natural language processing (NLP) by efficiently capturing long-range dependencies. TinyML enables smart IoT applications on low-power devices, while XAI promotes transparency in AI decisions. FL facilitates decentralized model training while preserving data privacy. Our discussion also covers challenges, limitations, and future research directions to improve AI and IoT integration. © 2025 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Optimized Design of Sub-Harmonic Synchronous Machines

引用

IEEE Transactions on Magnetics 2025年

作者： Sajjad Hossain Rafin, M. Ali, Qasim Hussein, Hossam Mohammed, Osama A. Florida International University Energy Systems Research Laboratory Department of Electrical and Computer Engineering MiamiFL33174 United States Sukkur IBA University Department of Electrical Engineering Sukkur Pakistan

This paper presents an optimized design approach for sub-harmonic synchronous machines (SHSMs) to minimize torque ripple and improve performance for high-power electric vehicle applications. The proposed design incorporates a novel rotor harmonic winding configuration and utilizes advanced skewing techniques to achieve optimal spatial distribution of magnetic forces. Using Ansys Maxwell software, finite element analysis (FEA) was conducted on 8-pole, 48-slot SHSMs with a rated output of 1.3 kW and 900 rpm. Compared to earlier designs, the optimized 2-layer and 3-layer SHSMs demonstrated significant reductions in torque ripple—83.94% and 86.84%, respectively. This improvement is attributed to the uniform distribution of harmonic windings and carefully calibrated rotor skewing, both of which enhance spatial efficiency and magnetic field uniformity across the rotor. These configurations achieve lower torque ripple and maintain high efficiency and competitive average torque output, making them suitable alternatives to conventional wound rotor synchronous machines (WRSMs) and permanent magnet synchronous motors (PMSMs). The findings validate the potential of the optimized SHSMs as high-performance, brushless solutions for electric vehicle propulsion, contributing to advancements in synchronous machine design and sustainable transportation technologies. © 1965-2012 IEEE.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Sequence Generator Network for Neuromechanical Control of Rat Hindlimbs 13th

Sequence Generator Network for Neuromechanical Control of Ra...

引用

13th International Conference on Biomimetic and Biohybrid systems, Living Machines 2024

作者： Jackson, Clayton B. Nourse, William R. P. Quinn, Roger D. Department of Mechanical and Aerospace Engineering Case Western Reserve University ClevelandOH44106-7222 United States Department of Electrical Computer and Systems Engineering Case Western Reserve University ClevelandOH44106-7222 United States

ISBN: (纸本)9783031725968

Mammalian locomotion is a complex behavior arising from interaction between neural and biomechanical systems, driven by rhythmic activity originating in the spinal cord. Although it has been extensively studied, the structure of the circuits that produce this behavior remains unknown. One approach to modeling the rhythmic activity is with half-center models, in which there are alternating periods of flexion and extension to coordinate muscle activity. While this approach is sufficient for simple antagonistic muscle pairs, it can be difficult to expand the controller for more complex models with muscle synergies. This work introduces a method of modeling the activity in the spinal cord with a population of neurons exhibiting a continuous cycle of activity, rather than the push-pull of half-centers. To evaluate the effectiveness of this neural model for locomotive behavior, we integrate it with a biomechanical simulation to control the muscle activity in a pair of rat hindlimbs. With this controller, a pair of simulated rat hindlimbs is able to walk on the ground with joint trajectories exhibiting similar features to the animal during locomotion. This model of the spinal cord activity shows promising results on a simple model and demonstrates the ability to be adapted to control more complex biomechanical models with muscle synergies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Rats

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：