The proceedings contain 26 papers. The topics discussed include: identification of age markers from the structural features of Baltic amber using SERS;ultrasensitive fiber temperature sensor based on Fabry Perot inter...
ISBN:
(纸本)9781510682146
The proceedings contain 26 papers. The topics discussed include: identification of age markers from the structural features of Baltic amber using SERS;ultrasensitive fiber temperature sensor based on Fabry Perot interferometer and vernier effect;resonant optical gyroscopes based on low-coherence radiation sources;in-situ state characterization monitoring of 18650 lithium-ion batteries with high-rate charge and discharge based on the high-stability fiber-optic sensor;time delay estimation accuracy enhancement with envelope filtering in LFM-DAS;ring confocal cavity with gradient lens as sensitive element for the passive optical gyro;arrangement optimization of fiber Bragg grating temperature sensor network for wafer surface temperature field reconstruction with grey wolf optimization-kriging algorithm based on k-medoids;and a novel leakage sensing system of hydrogen transportation pipeline based on hybrid UWFBG array.
The paper is devoted to the analysis and review of optical resonance gyroscopes on low-coherence radiation sources. The main advantages of using low-coherence radiation sources in optical resonance gyroscopes are cons...
详细信息
advancedsensor-system-integrated injection molding is a promising technology that can overcome long-lasting problems in the injection molding industry, improve product quality, increase productivity, and reduce total...
详细信息
advancedsensor-system-integrated injection molding is a promising technology that can overcome long-lasting problems in the injection molding industry, improve product quality, increase productivity, and reduce total losses. Particularly, advancedsensorsystems used in injection molding enable a leap forward in injection molding by implementing novel technologies such as in-situ process monitoring, in-line quality monitoring, and process optimization. In this review, state-of-the-art sensor utilization and applications in the injection molding industry are discussed, ranging from additional sensors utilized in sensor-integrated injection molding machines to advancedsensorapplications incorporating artificial intelligence in the injection molding industry in the future. The requirements and challenges of advancedsensorsystems in the injection molding industry are also highlighted while providing perspectives for future development.
The condition and concept of confocality for ring resonators are considered. The advantages and limitations of such a design and its prospects for application in passive optical gyros are considered. It is also shown ...
详细信息
Traditional monitoring systems for older adults typically rely on a single type of sensor, resulting in limited data sources that limit the comprehensiveness and diversity of monitoring. This limitation makes it diffi...
详细信息
A corrugated surface long-period grating (LPG) was imprinted on a flat-shaped plastic optical fiber (POF) as a liquid-level sensor. The flat shape was processed on commercial POF by a simple heat-pressing method, and ...
详细信息
Flexible neuromorphic architectures that emulate biological cognitive systems hold great promise for smart wearable electronics. To realize neuro-inspired sensing and computing electronics, artificial sensory neurons ...
详细信息
Flexible neuromorphic architectures that emulate biological cognitive systems hold great promise for smart wearable electronics. To realize neuro-inspired sensing and computing electronics, artificial sensory neurons that detect and process external stimuli must be integrated with central nervous systems capable of parallel computation. In near-sensor computing, synaptic devices, and sensors are used to emulate sensory neurons and receptors, respectively. In contrast, in in-sensor computing, a single multifunctional device serves as both the receptor and neuron. Bio-inspired cognitive systems efficiently detect and process stimuli through data structuring techniques, significantly reducing data volume and enabling the extension of neuromorphic applications to smart wearable systems. To construct wearable near- and in-sensor computing, it is crucial to develop artificial sensory neurons and central nervous synapses that replicate the biological functionalities. Additionally, the integrated systems must exhibit high mechanical flexibility and integration density. This review addresses research on flexible bio-inspired cognitive systems, classified into near- and in-sensor computing. It covers fundamental aspects, including biological cognitive processes, the required components, and the structures for each component, as well as applications for wearable smart systems. Finally, it offers perspectives on future research directions for flexible neuromorphic electronics in smart wearable systems connected to the next-generation Internet of Things.
A fiber optic Mach-Zehnder interferometer (MZI) sensor with sensitivity to strain, magnetic field, and bending was designed by splicing single-mode fiber (SMF) and dispersion compensation fiber (DCF). MZI is a sandwic...
详细信息
Temperature is a significant control parameter in the silicon-based MEMS fabrication process, and the uneven distribution of the temperature on the surface of a silicon wafer can have a huge impact on the entire proce...
详细信息
Temperature is undoubtedly one of the most important parameters in human life, production, and technological activities, and plays a crucial role in both daily life and industrial production. Fiber temperature sensors...
详细信息
暂无评论