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Calculation of Photocatalyst Anatase TiO2 (1 0 1)/g-C3N4 (0 0 1) Properties Using Density Functional Theory 利用密度泛函理论计算光催化剂 Anatase TiO2 (1 0 1)/g-C3N4 (0 0 1) 的特性
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-19 DOI: 10.18494/sam4617
Trung Tin Tran, Phuoc Thao Vo Du, Anh Hao Huynh Vo, Trung Nghia Tran
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引用次数: 0
Design of AI-based 3.84 kW Battery Package Using Backpropagation Artificial Neural Network Algorithm for Cargo Drones 使用反向传播人工神经网络算法为货运无人机设计基于人工智能的 3.84 kW 电池组
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-19 DOI: 10.18494/sam5011
Rodi Hartono, Sang Min Oh, Sung Won Lim, T. P. A. Kalend, Jasurbek Doliev, Jun Hyuk Lee, Kyoo Jae Shin
{"title":"Design of AI-based 3.84 kW Battery Package Using Backpropagation Artificial Neural Network Algorithm for Cargo Drones","authors":"Rodi Hartono, Sang Min Oh, Sung Won Lim, T. P. A. Kalend, Jasurbek Doliev, Jun Hyuk Lee, Kyoo Jae Shin","doi":"10.18494/sam5011","DOIUrl":"https://doi.org/10.18494/sam5011","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140683802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Small Deep Learning Model for Fault Detection of a Broken Rotor Bar of an Induction Motor 用于感应电机转子断线故障检测的小型深度学习模型
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-19 DOI: 10.18494/sam4847
Pat Taweewat, W. Suwan-ngam, K. Songsuwankit, Poom Konghuayrob
{"title":"A Small Deep Learning Model for Fault Detection of a Broken Rotor Bar of an Induction Motor","authors":"Pat Taweewat, W. Suwan-ngam, K. Songsuwankit, Poom Konghuayrob","doi":"10.18494/sam4847","DOIUrl":"https://doi.org/10.18494/sam4847","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140684625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prediction of Flying Height Using Deep Neural Network Based on Particle Swarm Optimization in Hard Disk Drive Manufacturing Process 使用基于粒子群优化的深度神经网络预测硬盘驱动器制造过程中的飞行高度
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-19 DOI: 10.18494/sam4825
Worawit Kanjanapruthipong, Pitcha Prasitmeeboon, Poom Konghuayrob
{"title":"Prediction of Flying Height Using Deep Neural Network Based on Particle Swarm Optimization in Hard Disk Drive Manufacturing Process","authors":"Worawit Kanjanapruthipong, Pitcha Prasitmeeboon, Poom Konghuayrob","doi":"10.18494/sam4825","DOIUrl":"https://doi.org/10.18494/sam4825","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140683159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fiber-tip-integrated High-sensitivity Refractive Index and High-precision Liquid Level Sensor Based on Surface Plasmon Resonance 基于表面等离子共振的光纤尖端集成式高灵敏度折射率和高精度液位传感器
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-09 DOI: 10.18494/sam4832
Guibin Yuan, Shufei Han, Min Yuan, Xinjun Huang, Shengli Pu
A refractive index (RI) and liquid level sensing scheme based on a multimode-no-core fiber tip with high sensitivity and precision is proposed and experimentally demonstrated by fusing a tapered no-core fiber (NCF) with a segment of multimode fiber. A gold film is plated on the side surface of the uniform waist region of the tapered NCF to stimulate surface plasmon resonance. The as-fabricated sensor achieves RI sensitivities of 16500 and 24000 nm/RIU (refractive index unit) in the RI ranges of 1.34 to 1.38 and 1.39 to 1.41, respectively. High-precision liquid level sensing with a range from 0.1 to 2.0 mm is obtained simultaneously. The designed sensing structure in this work offers simplicity and ease of implementation, which makes it a promising option for high-sensitivity and high-precision sensing applications.
通过将锥形无芯光纤(NCF)与一段多模光纤融合,提出了一种基于多模无芯光纤尖端的高灵敏度和高精度折射率(RI)和液位传感方案,并进行了实验演示。在锥形无芯光纤均匀腰部区域的侧表面镀了一层金膜,以激发表面等离子共振。制作完成的传感器在 1.34 至 1.38 和 1.39 至 1.41 的 RI 范围内分别达到了 16500 和 24000 nm/RIU(折射率单位)的 RI 灵敏度。同时还实现了 0.1 至 2.0 毫米范围内的高精度液位传感。这项工作中设计的传感结构简单易用,是高灵敏度和高精度传感应用的理想选择。
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引用次数: 0
Microfabrication of Si by KOH Etchant Using Etching Masks Amorphized by Ion Beam Extracted From Electron Cyclotron Plasma 利用电子回旋加速器等离子体提取的离子束蜕变的蚀刻掩模,用 KOH 蚀刻剂对硅进行微加工
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-09 DOI: 10.18494/sam4829
Mina Sato, Mie Tohnishi, Akihiro Matsutani
We demonstrated KOH etching with an etching mask amorphized by ion irradiation. Amorphized masks were prepared by irradiating ion species (Ar + , Kr + , Xe + , N + , O + ) at an ion energy of 500 eV with an electron cyclotron resonance ion shower system. The parameters for KOH etching were also studied. In addition, we fabricated structures with an aspect ratio of over 3000 and microfluidic devices using the proposed microfabrication technique. This technique is expected to be useful for the microfabrication of Si structures.
我们利用通过离子辐照非晶化的蚀刻掩膜演示了 KOH 蚀刻。通过电子回旋共振离子辐照系统以 500 eV 的离子能量辐照离子种类(Ar + 、Kr + 、Xe + 、N + 、O + )制备了非晶化掩膜。我们还研究了 KOH 蚀刻的参数。此外,我们还利用所提出的微制造技术制造了长宽比超过 3000 的结构和微流体设备。该技术有望用于硅结构的微加工。
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引用次数: 0
Development of Surface-enhanced Raman Scattering Substrate Using Melt-blown Nonwoven Fabric Subjected to Electroless Ag Plating: A Basic Study 利用熔喷无纺布进行无电解镀银开发表面增强拉曼散射基底:基础研究
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-09 DOI: 10.18494/sam4820
Yusuke Tahara, Junya Yamamoto, Takashi Nishiyama, Ren Tomisawa, Ryo Takigawa
The fabrication of the nanostructures required for surface-enhanced Raman scattering (SERS), which is increasingly used for chemical analysis
制造表面增强拉曼散射(SERS)所需的纳米结构,SERS 越来越多地用于化学分析
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引用次数: 0
Novel Flexible Temperature Sensor Based on Polyvinyl Alcohol Acrylamide Hydrogels with Moisture Content Compensation 基于具有湿度补偿功能的聚乙烯醇丙烯酰胺水凝胶的新型柔性温度传感器
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-09 DOI: 10.18494/sam4770
Yuan Bai, Liangkuan Zhu, Haoyan Xu
Flexible temperature sensors are of considerable importance in many industrial and domestic fields such as medical care, agriculture, and food. We report a novel flexible temperature sensor based on polyvinyl alcohol acrylamide hydrogels with moisture content compensation. Firstly, the flexible temperature sensor was prepared by using graphene as a thermal conductive filler and polyvinyl alcohol and acrylamide as a matrix. Secondly, because the measurement accuracy of the flexible temperature sensor is considerably affected by the moisture content, a design scheme for the flexible temperature sensor with a moisture content compensation model was proposed. Finally, on the basis of the measured data of the flexible temperature sensor under multiple moisture contents, an improved sparrow search algorithm was used to optimize the backpropagation neural network model to compensate for the error caused by changes in moisture content, so as to improve the measurement accuracy of the sensor. The compensation results show that the proposed scheme can significantly reduce the measurement error of the flexible temperature sensor, enabling accurate, reliable, and sustainable monitoring.
柔性温度传感器在医疗、农业和食品等许多工业和家用领域都具有相当重要的意义。我们报告了一种基于聚乙烯醇丙烯酰胺水凝胶的新型柔性温度传感器,该传感器具有湿度补偿功能。首先,以石墨烯为导热填料,聚乙烯醇和丙烯酰胺为基体制备了柔性温度传感器。其次,由于柔性温度传感器的测量精度受含水量的影响较大,因此提出了具有含水量补偿模型的柔性温度传感器设计方案。最后,根据柔性温度传感器在多种含水率下的测量数据,采用改进的麻雀搜索算法优化反向传播神经网络模型,以补偿含水率变化带来的误差,从而提高传感器的测量精度。补偿结果表明,所提出的方案可以显著降低柔性温度传感器的测量误差,从而实现准确、可靠和可持续的监测。
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引用次数: 0
Smartphone-assisted Colorimetric Sensing Platform Based on Au@Pt Nanozyme Used for Visual Monitoring of Ascorbic Acid 基于 Au@Pt 纳米酶的智能手机辅助比色传感平台用于可视化监测抗坏血酸
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-04-09 DOI: 10.18494/sam5028
Laixin Gao, Lingchun Li
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引用次数: 0
SeaVit: Sports Event Athletes Tracking Model Design SeaVit:体育赛事运动员跟踪模型设计
IF 1.2 4区 材料科学 Q3 Materials Science Pub Date : 2024-03-18 DOI: 10.18494/sam4377
Linlin Yuan, Yao Liu, Hsuan-Ming Feng
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引用次数: 0
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