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Application of Chaotic Encryption and Decryption in Wireless Transmission From Sensory Toolholders on Machine Tools

IEEE Sensors Journal 2023年第11期23卷 11453-11468页

作者： Lin, Chi-Yuan Wu, Shu-Cing Kuo, Ping-Huan Huang, Meng-Jun Hong, Song-Wei Yau, Her-Terng National Chin-Yi University of Technology Department of Electronic Engineering Taichung411030 Taiwan National Chin-Yi University of Technology Prospective Technology of Electrical Engineering and Computer Science Program Taichung411030 Taiwan Chiayi62102 Taiwan National Chung Cheng University Department of Mechanical Engineering Chiayi62102 Taiwan

In recent years, several industries have increased their demand for processing precision, automatic detection, and visualization interfaces. Therefore, to keep pace with the fourth industrial revolution, machine tool operators install a large number of sensors on machine tools to obtain more precise physical quantities during processing and use a variety of sensors to obtain measurements in various situations. However, these additional sensors on machine tools result in complicated wire layouts, which exhibit negative effects on processing. Such problems lead to the birth of wireless data transmission, which is expected to become the new standard in the future. At present, there is more and more interactive integration between relevant embedded system and the machine tool, which allows information communication between each other in the wireless domain. However, generally, the majority of machine tool operators focus on optimizing the sensing conditions during processing, but they disregard the importance of information security. In the current era of the Internet of Things (IoT), information security is regarded as a crucial factor. For the wireless communication between the IoT equipment for each machine in the machining field, the transmitted data are almost exposed within public space directly due to the loss in constraint and protection of physical wiring. Therefore, such a process can easily be intercepted by other devices that capture information on relevant status of the machine or command messages received by the controller, where intentional individual may possibly control the operating mechanism and progress of entire plant. This leads to theft of relevant secrets in manufacturing technology for the subject company, or intentional shutdown, machine damage, and vicious blackmailing attacks. Therefore, introducing the mechanism of safety protection during wireless signal transmission is an inevitable technology to maintain the company interests and also the

关键词： Synchronization

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Unsupervised Learning-Based ISAC Waveforms

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IEEE Wireless Communications Letters 2025年

作者： Dassanayake, Janith Kavindu Kulathunga, Ranga Baduge, Gayan Amarasuriya Aruma Vaezi, Mojtaba Southern Illinois University School of Electrical Computer and Biomedical Engineering CarbondaleIL62901 United States Villanova University Department of Electrical and Computer Engineering VillanovaPA19085 United States

The waveform design for the integrated sensing and communication (ISAC) via classical optimization theory may become computationally exhaustive due to the trade-offs between sensing and communication performance metrics. To circumvent this, an unsupervised learning-based ISAC waveform design is proposed. The sensing versus communication design trade-off is captured via a custom loss function, and the constraints are enforced via a custom Lambda layer. The trade-offs between the achievable rate, probability of detection, and Cramer-Rao bound are used to evaluate and compare performance gains against the analytical counterparts. Our numerical results demonstrate the potential of learning-based techniques in balancing the performance and computational complexity of ISAC waveform designs. Although suboptimal, the learning-based ISAC waveforms are appealing to implement ISAC with large antenna arrays due to lower complexity over classical analytical counterparts. © 2012 IEEE.

关键词： Cramer-Rao bounds

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Optimizing optical pulse breakup for efficient supercontinuum generation in an all-fiber system

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Optics Continuum 2024年第2期3卷 164-175页

作者： Chang, Kuan-Yuan Gong, Chen-Jia Liu, Jia-Ming Institute of Photonic System National Yang Ming Chiao Tung University Tainan Taiwan Institute of Imaging and Biomedical Photonics National Yang Ming Chiao Tung University Tainan Taiwan Electrical and Computer Engineering Department University of California Los AngelesCA United States Graduate Institute of Optoelectronic Engineering National Chung Hsing University Taichung Taiwan

Ultra-broadband supercontinuum (SC) is generated by an all-fiber system with well-defined pulses (WDPs) as a seed laser. Through properly adjusting the lengths of the fiber segments in the system, sub-pulses with high peak powers are generated through the process of optical pulse breakup. Then, the broken optical pulses are launched into a hybrid nonlinear, which consists of a highly nonlinear optical fiber and a photonic crystal fiber, generating a SC of 1.8 W covering a spectral range from 554 nm to 2.17 µm. In this study, it is demonstrated through experimental observation that optical pulse breakup is an essential process for WDPs before the pulses are launched into a nonlinear optical fiber to generate SC. However, pulse breakup must not happen before the amplification of the WDPs;otherwise, the amplification efficiency is decreased, leading to a subsequent low efficiency of SC generation. The proper breakup of the WDPs after they are efficiently amplified is accomplished by sending these pulses through an optimum length of regular optical fiber, which depends on the peak power of the amplified WDPs. An optical fiber of an insufficient length leads to insufficient pulse breakup, which does not significantly increase the peak power of the pulses, resulting in little enhancement of SC generation. An excessively long fiber leads to excessive pulse breakup, which stretches the pulsewidth and splits the pulse energy, resulting in decreasing the efficiency of SC generation. © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Supercontinuum generation

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Experimental assessment of the optical transfer function for quantitative oblique back-illumination microscopy

Experimental assessment of the optical transfer function for...

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2024 Label-free biomedical Imaging and Sensing, LBIS 2024

作者： Li, Zhenmin Filan, Caroline Guang, Zhe Casteleiro Costa, Paloma Robles, Francisco E. School of Electrical and Computer Engineering Georgia Institute of Technology United States George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology United States Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Emory University United States

ISBN: (纸本)9781510669673

Quantitative oblique back illumination microscopy (qOBM) is a recently developed phase imaging modality that enables 3D quantitative phase imaging and refractive index (RI) tomography of thick scattering samples. The approach uses four oblique illumination images (acquired in epi-mode) at a given focal plane to obtain cross sectional quantitative information. In order to quantify the information, qOBM uses a deconvolution algorithm which requires an estimate of the angular distribution of light at the focal plane to obtain the system's optical transfer function (OTF). This information is obtained using Monte Carlo numerical simulations which uses published scattering parameters of tissues. While this approach has shown robust results with high quantitative fidelity, the reliance on available published scattering parameters is not optimal. Here we present an experimental approach to measure the angular distribution of the back-scattered light at the focal plane. The approach simultaneously obtains information from the imaging plane and the Fourier plane to provide insight into the overall angular distribution of light at the focal plane. Together with the pupil function, given by the known numerical aperture of the system, this approach directly yields the OTF. A theoretical analysis and experimental results will be presented. This approach has the potential to widen the utility of qOBM to also include tissues and samples whose scattering properties are not well documented in the literature. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Refractive index

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Simultaneous Multicolor Spectroscopic Single-molecule Localization Microscopy Image Reconstruction using Machine Learning

Simultaneous Multicolor Spectroscopic Single-molecule Locali...

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2023 Imaging Systems and Applications, IS 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

作者： Gaire, Sunil Kumar Flowerday, Ethan Frederick, Jane Gong, Ruyi Ying, Leslie Zhang, Hao F. Backman, Vadim Department of Electrical and Computer Engineering North Carolina A&T State University GreensboroNC27411 United States Department of Biomedical Engineering Northwestern University EvanstonIL60208 United States Department of Electrical Engineering The State University of New York at Buffalo BuffaloNY14260 United States

ISBN: (纸本)9781957171289

We present all machine learning-based reconstruction approach for simultaneous multicolor spectroscopic super-resolution microscopy. Machine learning is used for localization and spectral classification. Reconstruction of the simultaneous two-color imaging of the nanoruler sample with a mark-to-mark distance of 40 nm is presented. © 2023 The Author(s).

关键词： Machine learning

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Multimodal fluorescence microscopy and 3D quantitative phase imaging/refractive index tomography in thick tissue samples 10

Multimodal fluorescence microscopy and 3D quantitative phase...

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Quantitative Phase Imaging X 2024

作者： Li, Zhenmin Guang, Zhe Casteleiro Costa, Paloma Filan, Caroline Bharadwaj, Srinidhi Robles, Francisco E. School of Electrical and Computer Engineering Georgia Institute of Technology United States Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Emory University United States George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology United States

ISBN: (纸本)9781510669635

Phase imaging and fluorescence microscopy provide valuable complementary information, and individually form the basis for a significant portion of the routing biological and biomedical optical imaging performed today. While multimodal phase and fluorescence microscopy has been explored for thin transparent samples to obtain structural information based on the refractive index distribution (with phase contrast) and molecular content (with fluorescence), combining these complementary technologies to study thick samples has been challenging and remains largely unexplored. This work presents the results of a study that combines quantitative phase imaging (QPI) and refractive index (RI) tomography in thick samples - using quantitative oblique back illumination - and bright field fluorescence deconvolution microscopy. The two technologies use a simple bright field microscope configuration with epi-illumination and through-focus z-stack acquisition, along with a deconvolution algorithm, to achieve 3D imaging. Phase and RI information is acquired nearly simultaneously with the fluorescence information with inherent co-registration of the two modalities. In this work, we will present the theoretical underpinning of this multimodal approach, describe the simple multimodal system, and show imaging results of thick tissues, such as labeled mice brains. This multimodal imaging approach could help biologists and clinicians gain a more comprehensive understanding of the tissue's morphology and molecular composition, and can be widely applied across a number of biological and biomedical disciplines, including neuroscience, pathology, and oncology. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Refractive index

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Online 3D Bin Packing for Novel Objects Based on Deep Reinforcement Learning

Online 3D Bin Packing for Novel Objects Based on Deep Reinfo...

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2023 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2023

作者： Chien, Shao-Yu Wong, Ching-Chang Tamkang University College of Engineering Doctoral Program in Robotics New Taipei City25137 Taiwan Tamkang University Electrical and Computer Engineering Department New Taipei City25137 Taiwan

ISBN: (纸本)9798350302714

In this paper, a method using deep reinforcement learning is proposed to deal with the 3D online bin packing problem. The packing objects are not limited to several specific or fixed cuboid objects, but are composed of more than a thousand objects and randomly generated cuboids, which make the trained policy network can handle novel unknown objects. In addition, the posture of the object in the box can be any angle, not limited to horizontal and vertical. In the proposed method, four voxel maps are used as inputs, and a Soft Actor-Critic (SAC) algorithm is used to train a policy network. On the other hand, in order to deal with various objects with irregular shapes, a packing task simulator with physics engine enable the policy network to learn the state of falling and stacking objects. In terms of training environment of deep reinforcement learning, the proposed method can be applied to boxes of different sizes because of the scalable image information. Moreover, a reward function and a training strategy with gradually increasing difficulty are proposed to effectively improve the learning of policy network. In terms of experimental results, the results on a random object bin packing task in a simulator illustrate the effectiveness of the proposed method. © 2023 IEEE.

关键词： Reinforcement learning

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Brain–computer interfaces for human gait restoration

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Control Theory and Technology 2021年第4期19卷 516-528页

作者： Zoran Nenadic Department of Biomedical Engineering University of CaliforniaIrvineCA 92697USA Department of Electrical Engineering and Computer Science University of CaliforniaIrvineCA 92697USA

In this review article, we present more than a decade of our work on the development of brain–computer interface (BCI)systems for the restoration of walking following neurological injuries such as spinal cord injury (SCI) or stroke. Most ofthis work has been in the domain of non-invasive electroencephalogram-based BCIs, including interfacing our system witha virtual reality environment and physical prostheses. Real-time online tests are presented to demonstrate the ability ofable-bodied subjects as well as those with SCI to purposefully operate our BCI system. Extensions of this work are alsopresented and include the development of a portable low-cost BCI suitable for at-home use, our ongoing eforts to develop afully implantable BCI for the restoration of walking and leg sensation after SCI, and our novel BCI-based therapy for strokerehabilitation.

关键词： Brain-computer interfaces Neuroprosthesis Spinal cord injury Paraplegia Gait

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A Method for Minimally-Invasive Injection of Wireless Microdevices into Brain Tissue 46

A Method for Minimally-Invasive Injection of Wireless Microd...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Acebal, Cassandra Kainth, Gurleen Villanueva, Harry Hajjar, Ava Fuhrer, Valery Wanczuk, Paul Lim, Alexander S. Srinivasan, Shriya Otto, Kevin J. Khalifa, Adam University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering United States University of Florida Department of Psychology United States University of Florida Department of Biology United States University of Florida Department of Industrial and Systems Engineering United States Harvard University School of Engineering and Applied Sciences United States University of Florida Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350371499

As the field advances with the introduction of a new generation of electrodes, the demand for refined injection methodologies becomes evident. These electrodes, frequently termed microdevices, are intricately microfabricated and require precise insertion into neural tissue. Despite the existence of conventional injection methods, there is a pressing need to formulate strategies aimed at minimizing the damage associated with the deployment of microdevices of varied sizes and configurations. In recognition of this need, the introduced technique can be applied for damage mitigation when injecting microdevices into brain tissue. We introduce a novel injection aid and describe an injection technique that results in reduced tissue damage. The damage of injecting into agarose and the brain, with and without the aid of a tool that creates microvibrations is evaluated. Cryosectioning data is presented to assess the damage caused by the injection, which was found to be 7.4% less when using microvibrations. © 2024 IEEE.

关键词： Implant Injection Miniaturized Minimally-Invasive Wireless

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Advances in Fibrin-Based Bioprinting for Skin Tissue Regeneration: Exploring Design, and Innovative Approaches

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biomedical Materials and Devices 2025年第1期3卷 330-348页

作者： Zandi, Nooshin Daniele, Michael Brown, Ashley Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill and North Carolina State University Raleigh NC United States Comparative Medicine Institute North Carolina State University Raleigh NC United States Department of Electrical & amp Computer Engineering North Carolina State University Raleigh NC United States

The field of tissue engineering and regenerative medicine has made significant progress, especially in the realm of biofabrication, aiming to create functional tissues and organs for transplantation, ultimately transforming medical treatments. Fibrin, a versatile and biocompatible biomaterial derived from the clotting cascade, has emerged as a crucial component in the development of bioinks for various tissue regeneration applications. This review explores the multifaceted role of fibrin-based bioinks in promoting tissue regeneration, with a specific focus on skin tissue engineering. We describe the properties and characteristics of fibrin as a biomaterial, its potential for promoting angiogenesis, and its compatibility with mechanical design considerations. By considering key findings and insights, we emphasize the potential of fibrin-based bioinks in innovating tissue engineering strategies. This review highlights the role of fibrin-based bioinks in advancing regenerative therapies and indicates a new era of tissue engineering applications. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Bioink Bioprinting Fibrin Mechanical properties Skin Tissue engineering Vascularization

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