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Cu Single-Atom Decorated Three-Dimensional Nitrogen-Carbon Framework as an Oxygen Reduction Reaction Catalyst for High-Performance Zinc-Air Batteries

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ACS APPLIED NANO MATERIALS 2023年第1期7卷 1108-1119页

作者： Ma, Zhaolei Bai, Ruoning Yu, Wei Li, Guoxian Meng, Chuizhou Hebei Univ Technol Hebei Key Lab Smart Sensing & Human Robot Interact State Key Lab Reliabil & Intelligence Elect Equipm Sch Mech EngnEngn Res CtrMinist Educ Intelligent Tianjin 300401 Peoples R China

Transition metal single atoms have been considered as promising candidates for oxygen reduction reaction catalysts for developing high-performance zinc-air batteries. How to uniformly disperse metal single atoms onto an ideal porous carbon framework for full utilization of the catalyst with enriched active sites and fast mass diffusion still remains a challenge. Herein, by taking advantage of both the efficient single-atom Cu catalyst and the effective NaCl-template sacrificing method, we report the design and fabrication of a single-atom Cu catalyst decorated on a three-dimensional (3D) nitrogen-carbon (NC) framework. The developed catalyst exhibits excellent (oxygen reduction reaction) ORR catalytic activity with a high half-wave potential of 0.86 V, maximum current density of 5.53 mA cm(-2), and Tafel slope of 81.52 mV dec(-1), which are better than those of the commercial Pt/C catalyst. The comparison experiment with the 3D NC framework (no copper salt added) and the bulk Cu decorated NC framework (no NaCl added) verifies the synergistic effect between the Cu single atoms as the efficient ORR catalyst and the NaCl template to achieve the ideal porous structure. Aqueous zinc-air batteries assembled with the developed catalyst deliver good battery performance with a high open circuit voltage of 1.48 V, large specific discharge capacity of 760.47 mAh g(-1), high peak power density of 120 mW cm(-2), and stable charge-discharge cyclability for 600 h. Gel polymer electrolyte-based zinc-air batteries are also demonstrated to be workable under bending conditions for practical wearable electronic applications.

关键词： zinc-air battery oxygen reduction reaction (ORR) single-atom catalyst three-dimensional (3D) carbon framework

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Rechargeable Self-Powered pressure sensor based on Zn-ion battery with high sensitivity and Broad-Range response

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CHEMICAL ENGINEERING JOURNAL 2024年 497卷

作者： Hu, Yong-Peng Liu, Kai-Yang Bai, Ruo-Ning Liu, Da-Zhuang Yu, Wei Meng, Chui-Zhou Li, Guo-Xian Guo, Shi-Jie Hebei Univ Technol Engn Res Ctr Hebei Key Lab Smart Sensing & Human Robot Interact Minist Educ Intelligent Rehabil Equipment & Detect 5340 Xiping Rd Tianjin 300401 Peoples R China

Flexible pressure sensors find broad applications in electronic skin, human-computer interaction, and health monitoring. However, developing self-powered flexible sensors capable of detecting both dynamic and static pressures with high sensitivity and a wide detection range remains a significant challenge. Here, we report the design and fabrication of a new rechargeable Zn-ion battery-type flexible self-powered pressure sensor (RZIBFPS). In the device, the anode of a flexible Zn-ion battery is designed into a sandwich configuration with a porous isolation layer in between a conductive layer decorated with polymethylmethacrylate microspheres and a flexible Zn electrode. The self-powered pressure sensing mechanism relies on the variation in output voltage resulting from the resistance change of the anode when subjected to external pressure. This RZIB-FPS exhibits an open-circuit voltage of 1.46 V, an energy density of 392 mu Wh cm(-2), a high sensitivity (up to 42.6 mV kPa(-1)), a wide pressure detection range (up to 330 kPa), and excellent cycling stability (up to 12,000 cycles). Furthermore, the proposed all-in-one device design demonstrates excellent charge-discharge performance, manifesting its high integration level and potential for sensor miniaturization. This study introduces a new strategy for developing high-performance sensors for future self-powered smart wearable electronics.

关键词： Flexible pressure sensor Zn-ion battery Self-powered sensor Rechargeability

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Unconstrained Detection of the Respiratory Motions of Chest and Abdomen in Different Lying Positions Using a Flexible Tactile Sensor Array

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IEEE SENSORS JOURNAL 2019年第21期19卷 10067-10076页

作者： Guo, Shijie Zhao, Xingli Matsuo, Kazuya Liu, Jinyue Mukai, Toshiharu Hebei Univ Technol Key Lab Reliabil & Intelligence Elect Equipment Tianjin 300130 Peoples R China Hebei Univ Technol Hebei Key Lab Robot Sensing & Human Robot Interac Tianjin 300130 Peoples R China Kyushu Inst Technol Fac Engn Kitakyushu Fukuoka 8048550 Japan Meijo Univ Fac Sci & Technol Nagoya Aichi 4688502 Japan

Respiratory Inductance Plethysmography (RIP) is commonly used to detect the respiratory motions of chest and abdomen during sleep. However, this method is not suitable for daily use due to its strong constraints. Many unconstrained methods have been developed, but they have a common problem with distinguishing the chest and abdominal motions, which are required for understanding the type of sleep apnea. In this paper, we proposed an unconstrained method to distinguish chest and abdominal motions by measuring the pressure fluctuations from the chest and abdomen acting on a mattress. We then investigated the feasibility of detecting respiratory motions by using a flexible tactile sensor array, which was laid on a bed like a bed sheet. Ten healthy subjects (five males and five females) were tested and the results were compared with those measured by the RIP band sensors. It was confirmed that the sensor array could measure the motions of the chest and abdomen and obtain the respiratory rate at a high accuracy. However, the phase of the pressure fluctuations measured by the sensor array might disagree with the outputs of the RIP band sensors, depending on the gender and lying position of the subject. The reason was discussed with a dynamic model, which showed that the disagreement might have been related to the coupling of the chest and abdomen. In addition, the influence of the stiffness of the mattress on the pressure fluctuations was investigated. The results showed that mattress stiffness had little effect on the measurement.

关键词： Abdomen Sensor arrays Sleep apnea Fluctuations Pressure measurement Monitoring Breath disorder flexible tactile sensor array pressure fluctuation respiratory motion respiratory Inductance plethysmography sleep apnea

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Low-dose CT image super resolution using a model-based framework with CNN prior 16

Low-dose CT image super resolution using a model-based frame...

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16th IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Sun, Lei Guo, Shijie Tianjin Univ Technol Tianjin Key Lab Control Theory & Applicat Complic Tianjin 300384 Peoples R China Hebei Univ Technol Hebei Key Lab Robot Sensing & Human Robot Interac Tianjin 300130 Peoples R China

ISBN: (纸本)9781728116976

Improve low-dose CT(LDCT) imaging quality is a hot research issue in the medical imaging field. However, current image post-processing method mainly focus on denoising, ignoring the limitations of image resolution. To this end, a new model-based LDCT image super resolution based on CNN prior is proposed in this paper. Meanwhile, the Half Quadratic Splitting (HQS) algorithm is selected to accelerate high resolution LDCT calculation process. The convolutional neural network(CNN) prior is pre-trained and integrated into the HQS algorithm to regularize the model-based LDCT SISR problem. Experimental results demonstrate that our method can improve the resolution of low-dose CT images effectively.

关键词： Low-dose CT CNN super resolution deep learning

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Bayesian Algorithm-Based Force Profiles Optimization of Hip-Assistive Soft Exosuits Under Variable Walking Speeds

IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS

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IEEE TRANSACTIONS ON MEDICAL robotICS AND BIONICS 2024年第3期6卷 1232-1244页

作者： Chen, Qiang Wang, Jiaxin Xiang, Qian Guo, Shijie Hebei Univ Technol Engn Res Ctr Hebei Key Lab Robot Sensing & Human Robot Interact Sch Mech EngnMinist Educ Intelligent Rehabil Equi Tianjin 300401 Peoples R China Hebei Univ Technol Sch Mech Engn Tianjin 300401 Peoples R China Fudan Univ Inst Robot & AI Shanghai 200437 Peoples R China

Relevant research highlights humans' capacity to continuously adapt their walking speed to minimize metabolic energy consumption during overground free walking. Past studies have shown that soft exosuits assisting in hip flexion and extension can reduce metabolic costs and regulate gait parameters during human locomotion. This emphasizes the need to fine-tune hip exosuit parameters to align with walking speed, thereby enhancing metabolic efficiency. This study aims to optimize assistive force parameters of hip exosuits across different walking speeds, providing insights for optimizing force profiles in outdoor walking. We employed a human-in-the-loop approach with Bayesian optimization to determine optimal force profiles for hip assistance. Six subjects performed treadmill walking at four fixed speeds (0.84, 1.16, 1.48, and 1.8 m/s), optimizing control parameters for each speed and establishing a Bayesian experience (BXE) linking walking speed to optimal parameters. Furthermore, we developed a real-time force optimization controller based on the BXE for adjusting the force parameters of assistance. Outdoor walking experiments with the same subjects showed that BXE-optimized profiles significantly reduced metabolic costs compared to fixed profiles. This study underscores the importance of optimizing assistive forces for varying walking speeds in humans.

关键词： Optimization Legged locomotion Force Hip Bayes methods Timing Costs Soft exosuits hip assistance Bayesian optimization human-in-the-loop metabolic cost

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Flexible and Antifreezing Fiber-Shaped Solid-State Zinc-Ion Batteries with an integrated Bonding Structure

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JOURNAL OF PHYSICAL CHEMISTRY LETTERS 2023年第14期14卷 3512-3520页

作者： Wang, Guo-Yuan Li, Guo-Xian Tang, Yu-Dong Zhao, Zhen Yu, Wei Meng, Chui-Zhou Guo, Shi-Jie Hebei Univ Technol State Key Lab Reliabil & Intelligence Elect Equipm Tianjin 300401 Peoples R China Hebei Univ Technol Hebei Key Lab Smart Sensing & Human Robot Interact Tianjin 300401 Peoples R China Hebei Univ Technol Sch Mech Engn Tianjin 300401 Peoples R China

Fiber-shaped solid-state zinc-ion battery (FZIB) is a promising candidate for wearable electronic devices, but challenges remain in terms of mechanical stability and low temperature tolerance. Herein, we design and fabricate a FZIB with an integrated device structure through effective incorporation of the active electrode materials with a carbon fiber rope (CFR) and a gel polymer electrolyte. The gel polymer electrolyte incorporated with ethylene glycol (EG) and graphene oxide (GO) endows the FZIB with a high Zn stripping/ plating efficiency under extreme low temperature conditions. A high power density of 1.25 mW cm-1 and large energy density of 0.1752 mWh cm-1 are obtained. In addition, a high capacity retention of 91% after 2000 continuous bending cycles is achieved. Furthermore, the discharge capacity is fairly retained at more than 22% even at the low temperature of -20 degrees C. Toward practical applications, the FZIB integrated into textiles to power electronic products is demonstrated.

关键词： Mechanical stability

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Design and Compliant Control of a Piggyback Transfer robot

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JOURNAL OF MECHANISMS AND robotICS-TRANSACTIONS OF THE ASME 2022年第3期14卷 031009页

作者： Liu, Yuxin Guo, Shijie Yin, Yuting Jiang, Zhiwen Liu, Teng Hebei Univ Technol State Key Lab Reliabil & Intelligence Elect Equip 81 Dingzigu Rd Tianjin 300131 Peoples R China Hebei Univ Technol Hebei Key Lab Robot Sensing & Human Robot Interac 81 Dingzigu Rd Tianjin 300131 Peoples R China Hebei Univ Technol Sch Mech Engn 81 Dingzigu Rd Tianjin 300131 Peoples R China

Patient transfer, such as lifting and moving a bedridden patient from a bed to a wheelchair or a pedestal pan, is one of the most physically challenging tasks in nursing care. Although many transfer devices have been developed, they are rarely used because of the large time consumption in performing transfer tasks and the lack of safety and comfortableness. We developed a piggyback transfer robot that can conduct patient transfer by imitating the motion when a person holds another person on his/her back. The robot consisted of a chest holder that moves like a human back. In this paper, we present an active stiffness control approach for the motion control of the chest holder, combined with a passive cushion, for lifting a care-receiver comfortably. A human-robot dynamic model was built and a subjective evaluation was conducted to optimize the parameters of both the active stiffness control and the passive cushion of the chest holder. The test results of 10 subjects demonstrated that the robot could transfer a subject safely, and the combination of active stiffness and passive stiffness were essential to a comfortable transfer. The objective evaluation demonstrated that an active stiffness of k = 4 kPa/mm along with a passive stiffness lower than the stiffness of human chest was helpful for a comfort feeling.

关键词： nursing care robot transfer task bio-inspired design compliant control care-receiver's comfort

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Easy-to-Operate Co-flow Step Emulsification Device for Droplet Digital Polymerase Chain Reaction

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ANALYTICAL CHEMISTRY 2022年第9期94卷 3939-3947页

作者： Wei, Chunyang Yu, Chengzhuang Li, Shanshan Meng, Jiyu Li, Tiejun Cheng, Jingmeng Pan, Feng Li, Junwei Hebei Univ Technol Hebei Key Lab Robot Sensing & Human Robot Interac Sch Mech Engn Tianjin 300132 Peoples R China Hebei Univ Technol State Key Lab Reliabil & Intelligence Elect Equip Tianjin 300130 Peoples R China Hebei Univ Technol Inst Biophys Sch Hlth Sci & Biomed Engn Tianjin 300401 Peoples R China Hebei Univ Technol Dept Elect & Informat Engn Langfang 065000 Peoples R China

Digital polymerase chain reaction (PCR) plays important roles in the detection and quantification of nucleic acid targets, while there still remain challenges including high cost, complex operation, and low integration of the instrumental system. Here, in this work, a novel microfluidic chip based on co-flow step emulsification is proposed for droplet digital PCR (ddPCR), which can achieve droplet generation, droplet array self-assembly, PCR amplification, and fluorescence detection on a single device. With the combination of single-layer lithography and punching operation, a step microstructure was constructed and it served as the key element to develop a Laplace pressure gradient at the Rayleigh-Plateau instability interface so as to achieve droplet generation. It is demonstrated that the fabrication of step microstructure is low cost, easy-to-operate, and reliable. In addition, the single droplet volume can be adjusted flexibly due to the co-flow design;thus, the ddPCR chip can get an ultrahigh upper limit of quantification to deal with DNA templates with high concentrations. Furthermore, the volume fraction of the resulting droplets in this ddPCR chip can be up to 72% and it results in closely spaced droplet arrays, makes the best of CCD camera for fluorescence detections, and is beneficial for the minimization of a ddPCR system. The quantitative capability of the ddPCR chip was evaluated by measuring template DNA at concentrations from 20 to 50 000 copies/mu L. Owing to the characteristics of low cost, easy operation, excellent quantitative capability, and minimization, the proposed ddPCR chip meets the requirements of DNA molecule quantification and is expected to be applied in the point-of-care testing field.

关键词： lab-on-a-chip Microfluidics

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A highly stretchable and ultra-sensitive strain sensing fiber based on a porous core-network sheath configuration for wearable human motion detection

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NANOSCALE 2022年第34期14卷 12418-12430页

作者： Liu, Jun Wang, Peng Li, Guoxian Yang, Li Yu, Wei Meng, Chuizhou Guo, Shijie Hebei Univ Technol Sch Mech Engn State Key Lab Reliabil & Intelligence Elect Equip Hebei Key Lab Smart Sensing & Human Robot Interac Tianjin 300401 Peoples R China Hebei Univ Technol Sch Hlth Sci & Biomed Engn State Key Lab Reliabil & Intelligence Elect Equip Tianjin 300130 Peoples R China

Functional fibers have attracted much research attention due to their potential application in developing advanced electronic textiles for wearable devices. However, challenges still exist in preparing high-performance fiber-shaped sensors with superior flexibility and stretchability while achieving a high sensitivity and a wide detection range. Herein, we propose the design and fabrication of an ultra-flexible and super-elastic fiber-shaped strain sensor via a facile combining approach of wet-spinning and dip-coating. The sensor adopts a core-sheath configuration of liquid metal droplets dispersed in porous thermoplastic polyurethane as a substrate core and a carbon nanotube intertwined network embedding silver nanowires as a strain sensitive sheath. By taking advantage of both the composition of multiple functional materials and the design of a microstructured device configuration, the developed fiber-shaped sensor exhibits an ultrahigh sensitivity (maximum gauge factor of 7336.1), an extremely large workable strain range (500%), a low strain detection limit (0.5%), a fast response time (200 ms) and good stability (10 000 cycles). In addition, the sensor is temperature insensitive, inert under harsh solution conditions, degradable and recyclable. Intriguingly, the fiber-shaped sensor can be used to detect various human motions and gestures by directly attaching to skins or elaborately weaving into textiles, demonstrating its great potential in human healthcare monitoring and human-machine interactions.

关键词： Fibers

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Wearable Electronic Glove and Multilayer Para-LSTM-CNN-Based Method for Sign Language Recognition

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IEEE INTERNET OF THINGS JOURNAL 2024年第24期11卷 40787-40799页

作者： Wang, Dapeng Wang, Mingyuan Zhang, Ziqi Liu, Teng Meng, Chuizhou Guo, Shijie Hebei Univ Technol Engn Res Ctr Minist Educ Intelligent Rehabil Devic State Key Lab Reliabil & Intelligence Elect Equipm Hebei Key Lab Smart Sensing & Human Robot Interact Tianjin 300401 Peoples R China Hebei Univ Technol Sch Mech Engn Tianjin 300401 Peoples R China

Communication between normal people and hearing-impaired people is usually realized with the sign language. However, the communication quality is limited by the familiarity of the people with sign language. Wearable sign language recognition systems, especially those based on flexible electronic glove, have attracted much attention due to their efficiency for sign language recognition. However, there are still two problems need to be solved in current research: 1) the size or weight of wearable device is usually inversely proportional to the fineness of the hand movement information captured and 2) both spatial features and temporal features are important for sign language recognition, and current algorithms usually do not achieve sufficient extraction. To address the above problems, a wearable electronic glove with new multilayer parallel LSTM-CNN (Para-LSTM-CNN) network is proposed. The designed wearable electronic glove is only 126 g in weight, and utilizes inertial measurement units (IMUs) and Flex sensors to capture hand motion signals. 41-dimensions of hand motion signals can be captured and uploaded to computer via Wi-Fi. A Para-LSTM-CNN algorithm based on parallel features extraction strategy is proposed. The temporal and spatial features of the sensor signals are extracted through long short-term memory (LSTM) and convolutional neural network (CNN), respectively. The Para-LSTM-CNN can effectively improve the accuracy of sign language recognition by fusing spatial and temporal features synchronously. The proposed system has a high sign-language-recognition accuracy of 97.01% for 26 gestures. Result shows that the proposed system promises to provide effective solutions for patients with hearing-impaired. The available code of Para-LSTM-CNN can be found at https://***/1104162390-A/Para-LSTM-CNN/tree/main.

关键词： Feature extraction Sign language Sensors Wearable devices Accuracy Flexible printed circuits Classification algorithms Parallel features extraction sign language recognition temporal features wearable electronic glove

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