Journal of Nanoelectronics and Optoelectronics最新文献_第2页

Nanofluid Heat Transfer and Flow Characteristics in a Convex Plate Heat Exchanger Based on Multi-Objective Optimization 基于多目标优化的凸板式换热器中的纳米流体传热和流动特性

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3505

Wafa F. Alfwzan, Ghadah A. Alomani, Laila A. Alessa, Mahmoud M. Selim

{"title":"Nanofluid Heat Transfer and Flow Characteristics in a Convex Plate Heat Exchanger Based on Multi-Objective Optimization","authors":"Wafa F. Alfwzan, Ghadah A. Alomani, Laila A. Alessa, Mahmoud M. Selim","doi":"10.1166/jno.2023.3505","DOIUrl":"https://doi.org/10.1166/jno.2023.3505","url":null,"abstract":"Convex plate heat exchangers have drawn much interest across various industries thanks to their improved heat transfer efficiency and compact design. Research examines the characteristics of convex plate heat exchangers in this study through a combined experimental and numerical method. A mixture that contains water and copper nanoparticles is known as a copper-water nanofluid. A multi-objective optimization technique is used in this study to give an experimental and numerical evaluation of the nanofluid heat transfer and flow properties of a convex plate heat exchanger. Numerical execution is performed using the ANSYS software, and the materials for the convex plate are copper and water. This study aims to improve the nanofluid flow performance and the heat transfer efficiency of heat transfer of the heat exchanger by optimizing its design parameters. The heat exchanger’s temperature distributions and pressure drops are measured using an experimental setup, and numerical execution is used to forecast the heat transfer coefficients and pressure losses. The ideal design parameters that concurrently maximize heat transmission and minimize pressure drop are discovered using a multi-objective optimization technique. The findings of this study enable the creation of more effective and affordable heat exchanger layouts for various industrial applications by offering useful insights into the transfer of heat and flow behavior of the convex plate heat exchanger.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"29 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139326126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wafer Image Preprocessing Based on Density Based Spatial Clustering of Application with Noise 基于密度空间聚类的带噪声应用晶圆图像预处理

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3506

Zhang Wei, Shu-rui Hao

{"title":"Wafer Image Preprocessing Based on Density Based Spatial Clustering of Application with Noise","authors":"Zhang Wei, Shu-rui Hao","doi":"10.1166/jno.2023.3506","DOIUrl":"https://doi.org/10.1166/jno.2023.3506","url":null,"abstract":"With the development of microelectronic manufacturing technology, semiconductor manufacturing presents the trend of maximization of scale and miniaturization of process size. Even if the wafer production now has a high automation of the production process, high-precision production equipment and advanced production technology, wafer abnormal situation is still inevitable. Abnormal conditions in semiconductor manufacturing process will reduce the yield of wafer products and increase production costs. The later analysis becomes the necessary means to improve the wafer yield. With the rapid development of modern computing power, the application of machine learning-based automatic detection method in semiconductor production is irresistible. In addition to its spatial pattern, there are many noises that can affect the classification of defects, so it is necessary to preprocess the wafer diagram. The traditional density based spatial clustering of application with noise (DBSCAN) algorithm needs to determine two clustering parameters artificially, and the choice of parameters can affect the clustering effect easily, the parameter list was obtained by K-mean nearest neighbor algorithm and mathematical expectation method, and the integrated parameters of intra-cluster density and inter-cluster density after DBSCAN clustering were selected as evaluation indexes to select the optimal parameters. Finally, a self-adaptive (SA)-DBSCAN map is obtained by retaining the largest cluster, adding feature points and feature clusters, thus improving the yield of wafer.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"91 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139327300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pulsed Optoelectronic Rangefinder and Its Measurement Applications in Architectural Design Rationality Assessment 建筑设计合理性评估中的脉冲光电测距仪及其测量应用

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3498

Zhifang Cao

{"title":"Pulsed Optoelectronic Rangefinder and Its Measurement Applications in Architectural Design Rationality Assessment","authors":"Zhifang Cao","doi":"10.1166/jno.2023.3498","DOIUrl":"https://doi.org/10.1166/jno.2023.3498","url":null,"abstract":"The laser rangefinder is a device that combines various technologies such as optoelectronics, electronics, microcontroller control technology, signal control, processing technology, and precision mechanical technology. This device has wide application value in aerospace, automatic control, industry, military, geodesy, and construction surveying, among other fields. The pulse laser rangefinder designed uses the SPLLL90_3 laser emitting diode for the laser emission circuit and employs the AD500_9 laser receiving diode for the laser reception circuit. The design of the laser emission circuit includes laser diode selection, emission, sample signal’s modulation circuit design, pulse signal generation, and driving circuit. The design of the laser reception circuit includes laser receiving diode selection, laser reception pulse signal’s acquisition circuit, reception signal adjustment circuit, and microcontroller peripheral circuit. After completing the hardware design of the pulse laser rangefinder, performance testing is conducted. The laser emission waveform and reception waveform are tested under an oscilloscope. The results show that the emission pulse generation and reception pulse acquisition circuits work normally. Range tests show that the rangefinder has a high degree of fit between theoretical and actual measurement distances within a certain time interval, meeting the design expectations. The designed optoelectronic rangefinder is adopted to evaluate the rationality of the design of building wall freeform surfaces through measurement. The results suggest that the designed optoelectronic rangefinder achieves higher detection efficiency and accuracy compared to traditional evaluation methods.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"37 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139325356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Performance Analysis of Automobile Headlamp Based on Light-Emitting Diode 基于发光二极管的汽车前大灯设计与性能分析

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3499

Sanshan Xie

{"title":"Design and Performance Analysis of Automobile Headlamp Based on Light-Emitting Diode","authors":"Sanshan Xie","doi":"10.1166/jno.2023.3499","DOIUrl":"https://doi.org/10.1166/jno.2023.3499","url":null,"abstract":"As a vital component of the automobile headlamp, its design is not only related to power loss but also affects the appearance of the automobile. Most importantly, its design directly affects the night lighting effect and driving safety. Compared with the traditional headlamp light source, light-emitting diode (LED) light source has the advantages of long lifespan, small size, fast response, flexible design, flexible control, and so on. Based on this, this study designs high-power white LED automobile headlamps, adopts the commonly used reflector design technology, and puts forward the design scheme of the lighting group system. This scheme relies on a reflector for light distribution, without needing a baffle or lens with light distribution patterns. The optical design software TracePro and the three-dimensional design software PROE are used to simulate and design the reflectors of low and high beams, respectively. The simulation results of the reflector of the low beam show that more than 490000 rays of light reach the filament shield, with a light utilization rate of over 95%. The horizontal cut-off line and 15° light and dark cut-off lines are clearly visible, and the front window material is closed. Considering this factor, the illumination distribution of the low beam meets relevant national regulations. The high beam reflector simulation results reveal that over 960000 light rays reach the filament shield, with a more than 95% light utilization rate. The light spot is symmetrical. If the front window material is polycarbonate and not coated, the absorption and scattering of light are ignored, and the transmittance of the beam through the two optical surfaces achieves 90%.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"11 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139328963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-Modal PET Synthesis Method Based on Improved Edge-Aware Generative Adversarial Network 基于改进的边缘感知生成对抗网络的跨模态 PET 合成方法

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3502

Liting Lei, Rui Zhang, Haifei Zhang, Xiujing Li, Yuchao Zou, Saad Aldosary, Azza S. Hassanein

{"title":"Cross-Modal PET Synthesis Method Based on Improved Edge-Aware Generative Adversarial Network","authors":"Liting Lei, Rui Zhang, Haifei Zhang, Xiujing Li, Yuchao Zou, Saad Aldosary, Azza S. Hassanein","doi":"10.1166/jno.2023.3502","DOIUrl":"https://doi.org/10.1166/jno.2023.3502","url":null,"abstract":"Current cross-modal synthesis techniques for medical imaging have limits in their ability to accurately capture the structural information of human tissue, leading to problems such edge information loss and poor signal-to-noise ratio in the generated images. In order to synthesize PET pictures from Magnetic Resonance (MR) images, a novel approach for cross-modal synthesis of medical images is thus suggested. The foundation of this approach is an enhanced Edge-aware Generative Adversarial Network (Ea-GAN), which integrates an edge detector into the GAN framework to better capture local texture and edge information in the pictures. The Convolutional Block Attention Module (CBAM) is added in the generator portion of the GAN to prioritize important characteristics in the pictures. In order to improve the Ea-GAN discriminator, its receptive field is shrunk to concentrate more on the tiny features of brain tissue in the pictures, boosting the generator’s performance. The edge loss between actual PET pictures and synthetic PET images is also included into the algorithm’s loss function, further enhancing the generator’s performance. The suggested PET image synthesis algorithm, which is based on the enhanced Ea-GAN, outperforms different current approaches in terms of both quantitative and qualitative assessments, according to experimental findings. The architecture of the brain tissue are effectively preserved in the synthetic PET pictures, which also aesthetically nearly resemble genuine images.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"16 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139331530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electrochemical Micro-Reaction and Failure Mechanism of New Materials Used at Low Temperature in Coastal Environment 沿海环境中低温使用的新材料的电化学微反应和失效机理

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3471

Dongjiu Zhang, Haiwang Wang, Shengju Song, Yuchao Wang, Hua Yang, Yilong Sun, Wen’an Zhong, Sheng Zhong, Honglun Wang, Feixiong Mao, Congqian Cheng

引用次数: 0

Enhanced Nanoelectronic Detection and Classification of Motor Imagery Electroencephalogram Signal Using a Hybrid Framework 使用混合框架对运动图像脑电信号进行增强型纳米电子检测和分类

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3504

Mohammad Khalid Imam Rahmani, Sultan Ahmad, Mohammad Rashid Hussain, Aso Khaleel Ameen, Aleem Ali, Faisal Shaman, Aziz Alshehri, Muhammad Shahid Dildar, Reyazur Rashid Irshad, Asharul Islam

{"title":"Enhanced Nanoelectronic Detection and Classification of Motor Imagery Electroencephalogram Signal Using a Hybrid Framework","authors":"Mohammad Khalid Imam Rahmani, Sultan Ahmad, Mohammad Rashid Hussain, Aso Khaleel Ameen, Aleem Ali, Faisal Shaman, Aziz Alshehri, Muhammad Shahid Dildar, Reyazur Rashid Irshad, Asharul Islam","doi":"10.1166/jno.2023.3504","DOIUrl":"https://doi.org/10.1166/jno.2023.3504","url":null,"abstract":"Motor imagery-based electroencephalogram (MI-EEG) signal classification plays a vital role in the development of brain-computer interfaces (BCIs), particularly in providing assistance to individuals with motor disabilities. In this study, we introduce an innovative and optimized hybrid framework designed for the robust classification of MI-EEG signals. Our approach combines the power of a Deep Convolutional Neural Network (DCRNN) with the efficiency of the Ant Lion Optimization (ALO) algorithm. This framework consists of four key phases: data acquisition, pre-processing, feature engineering, and classification. To enhance the signal quality, our work incorporates adaptive filtering and independent component analysis (ICA) during the pre-processing phase. Feature extraction is carried out using a deep autoencoder. For classification, we employ the DCRNN, and further enhance its performance with the ALO algorithm to optimize training and classification processes. The study is implemented in MATLAB and evaluated using the PhysioNet dataset. Experimental results demonstrate the effectiveness of our proposed method, achieving an impressive accuracy of 99.32%, a precision of 99.41%, a recall of 99.29%, and an f-measure of 99.32%. These results surpass the performance of existing classification strategies, highlighting the potential of our hybrid framework in MI-EEG signal classification for various BCI applications.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"10 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139331027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction and Application of Trajectory Data Analysis Model Based on Big Data and Stochastic Gradient Descent Algorithm 基于大数据和随机梯度下降算法的轨迹数据分析模型构建与应用

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3492

Jianhua Xie, Zhongming Yang, Wenquan Zeng, Yongjun He, Fagen Gong, Xi Zhao, Xibin Sun, Saad Aldosary

{"title":"Construction and Application of Trajectory Data Analysis Model Based on Big Data and Stochastic Gradient Descent Algorithm","authors":"Jianhua Xie, Zhongming Yang, Wenquan Zeng, Yongjun He, Fagen Gong, Xi Zhao, Xibin Sun, Saad Aldosary","doi":"10.1166/jno.2023.3492","DOIUrl":"https://doi.org/10.1166/jno.2023.3492","url":null,"abstract":"This paper studies the model construction of computing and storage resource management system framework based on Hadoop and the implementation of trajectory data analysis function under big data. Relying on the cloud platform infrastructure, in order to support the rapid data growth and massive data processing needs, it provides a mixed storage and analysis platform for structured and unstructured data, and uses big data technology to build a highly scalable and distributed data processing framework. The distributed computation, overall frame model of the memory system, and function module have been built with the aim of constructing the system in consideration. Second, by using Hadoop to preprocess the original data and concentrating on the data hierarchical design model and key technology analysis of big data systems, the design model, functional modules, technological solutions, and SGD algorithm are suggested, along with the detailed implementation procedure. Lastly, by merging the data of running vehicles, the system accomplishes the data analysis of vehicle trajectory, empty and load cars, and load and unload people.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139328071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Super-Resolution Reconstruction Based on Denoised High-Resolution Raw Images with BM3D 基于去噪高分辨率原始图像的 BM3D 超分辨率重建技术

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-10-01 DOI: 10.1166/jno.2023.3478

T. Cheng, Cong Xu

引用次数: 0

Synthesis and Characterization of BaO-Enhanced Therm500 Nanofluids 氧化钡增强型 Therm500 纳米流体的合成与表征

IF 0.6 4区工程技术

Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-09-01 DOI: 10.1166/jno.2023.3493

P. Prakash, A. Kingson Solomon Jeevaraj, Mohamed Hashem, Hassan Fouad, M. Shaheer Akhtar

{"title":"Synthesis and Characterization of BaO-Enhanced Therm500 Nanofluids","authors":"P. Prakash, A. Kingson Solomon Jeevaraj, Mohamed Hashem, Hassan Fouad, M. Shaheer Akhtar","doi":"10.1166/jno.2023.3493","DOIUrl":"https://doi.org/10.1166/jno.2023.3493","url":null,"abstract":"In this study, we enhance the thermal conductivity of the conventional heat transfer fluid Therm500 by incorporating BaO nanoparticles. BaO:Therm500 nanofluids are synthesized and characterized at various concentrations (ranging from 0.001 to 0.006 g) and temperatures (300 K, 303 K, 313 K, and 323 K). The investigation includes the use of FT-IR spectroscopy to analyze the interaction between BaO nanoparticles and Therm500. Our findings indicate that there is no significant particle-fluid interaction. The enhanced thermal conductivity observed in BaO:Therm500 nanofluids is attributed to multiple factors. As the temperature increases, the viscosity of the nanofluid decreases, resulting in increased Brownian motion of nanoparticles and convective-like effects, ultimately leading to improved thermal conductivity. Additionally, we report the acoustic properties of BaO-Enhanced Therm500 nanofluids at the same four temperatures (300 K, 303 K, 313 K, and 323 K). Density, refractive index, and ultrasonic velocity measurements are performed for six different molar concentrations of BaO nanofluids (0.001 g, 0.002 g, 0.003 g, 0.004 g, 0.005 g, and 0.006 g). Subsequently, various acoustical parameters, such as adiabatic compressibility (β), intermolecular free length (Lf ), specific acoustic impedance (Z), Rao’s constant (R), molar compressibility (W), viscous relaxation time (τ), free volume (Vf ), Gibbs free energy (ΔG), and internal pressure (πi), are calculated. These acoustical characteristics are utilized to investigate molecular interactions within the nanofluid system. The study reveals a non-linear relationship between ultrasonic velocity and particle concentration, which is attributed to weak particle-fluid interactions. These findings provide valuable insights into the preparation and characterization of BaO-enhanced Therm500 nanofluids and their potential applications in heat transfer systems.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"39 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0