检索结果-内蒙古大学图书馆

IEEE Journal on Flexible Electronics 2024年第6期3卷 242-251页

作者： Schlake, Ellie Kandadai, Nirmala Group Department of Electrical Engineering and Computer Science CorvallisOR97331 United States

Developing manufacturing methods for flexible electronics will enable and improve the large-scale production of flexible, spatially efficient, and lightweight devices. Laser sintering is a promising postprocessing method to produce consolidated films for flexible electronic devices while reducing power consumption compared to standard thermal sintering. This work further explores laser sintering of direct ink write (nScrypt) printed silver as a continuation of previous studies on nScrypt-printed silver and aerosol jet-printed gold, platinum, and titanium dioxide for manufacturing printed electronics (PEs) on the International Space Station (ISS). Four different laser wavelengths are studied for laser sintering nScrypt silver nanoflake ink on flexible polyimide and rigid glass substrates. The laser systems investigated are continuous wave (CW) 808 nm, CW 445 nm, CW 1064 nm, and pulsed femtosecond (fs) 1040-nm lasers. The laser power and scanning speed are varied to compare the laser systems and optimize laser sintering parameters for the silver ink. The resistivity of the laser-sintered silver NPs is compared to the resistivity of the unsintered silver to demonstrate the effectiveness of laser sintering. An optimal resistivity of 5.81× 10-8,Ω ·m is achieved for the nScrypt silver laser sintered using a fs 1040-nm laser. © 2022 IEEE.

关键词： Sintering

来源：评论

学校读者我要写书评

暂无评论

Skin Lesion Classification via ensemble method on deep learning

引用

Multimedia Tools and Applications 2025年第18期84卷 19379-19397页

作者： Amiri, Sekineh Asadi Nasrolahzadeh, Mahda Mohammadpoory, Zeynab Kordkheili, Amir Hossein Zare Department of Computer Engineering University of Mazandaran Babolsar Iran Department of Electrical Engineering University of Torbat Heydarieh Torbat Heydarieh Iran Department of Electrical Engineering Shahrood University of Technology Shahrood Iran

Deep neural networks have shown promising results in the classification of skin lesion images, particularly when they focus on the most significant regions of an image. However, the identification of melanoma continues to pose a significant challenge, primarily because of the substantial variability both within and between classes in images of moles. A new framework is proposed in this paper to develop an innovative method for effective melanoma diagnosis, presenting a new approach for Skin Lesion Classification (SLC) that combines a modified Inception ResNet v2 and Efficient Net-B4 in an ensemble. In the modified Inception ResNet v2, we incorporate a Soft-Attention (SA) mechanism. The goal is to enhance the network’s performance by using the SA mechanism to highlight informative features and suppress those that induce noise. Given the diversity of skin lesions in terms of type, texture, color, shape, and distribution, our proposed method extracts crucial features from the images by employing both the SA and merging the features of two layers of Inception ResNet ***, we have modified EfficientNet-B4 by adding two dense layers to improve its classification capabilities. After classifying the images with these two models, we employ soft voting for the final classification. We evaluated the performance of our proposed method on the ISIC-2017 and ISIC-2018 datasets, considering metrics such as Accuracy, Precision, Recall, and F-measures. Experimental results and a comparison with existing techniques demonstrate that our method achieves higher accuracy than current state-of-the-art methods. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

How Does a Swarm Exhibit Emergent Behavior Through Synchronization?

引用

Journal of Institute of Control, Robotics and Systems 2024年第4期30卷 352-362页

作者： Shim, Hyungbo ASRI Electrical and Computer Engineering Department Seoul National University Korea Republic of

A swarm of individuals often exhibits behaviors that are not possible for each individual. This phenomenon is called emergence, and this paper mathematically demonstrates that new dynamics can arise in swarm behavior that cannot be explained by the dynamics of individuals. In particular, we argue that emergence occurs when heterogeneity is coupled with synchronization. These two concepts may seem conflicting, as heterogeneity is the tendency to differ whereas synchronization is the tendency toward sameness. However, we show that emergent behavior arises from the interplay between the two. © ICROS 2024.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Distributed Estimation and Control for Jamming an Aerial Target With Multiple Agents

引用

IEEE Transactions on Mobile Computing 2023年第12期22卷 7203-7217页

作者： Papaioannou, Savvas Kolios, Panayiotis Ellinas, Georgios Department of Electrical and Computer Engineering Nicosia1678 Cyprus

This work proposes a distributed estimation and control approach in which a team of aerial agents equipped with radio jamming devices collaborate in order to intercept and concurrently track-and-jam a malicious target, while at the same time minimizing the induced jamming interference amongst the team. Specifically, it is assumed that the malicious target maneuvers in 3D space, avoiding collisions with obstacles and other 3D structures in its way, according to a stochastic dynamical model. Based on this, a track-and-jam control approach is proposed which allows a team of distributed aerial agents to decide their control actions online, over a finite planning horizon, to achieve uninterrupted radio-jamming and tracking of the malicious target, in the presence of jamming interference constraints. The proposed approach is formulated as a distributed model predictive control (MPC) problem and is solved using mixed integer quadratic programming (MIQP). Extensive evaluation of the system's performance validates the applicability of the proposed approach in challenging scenarios with uncertain target dynamics, noisy measurements, and in the presence of obstacles. © 2002-2012 IEEE.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Resource Allocation in a RIS-Assisted TDMA Wireless Powered Sensor Network Using UAV

引用

IEEE Communications Letters 2025年第6期29卷 1375-1379页

作者： Ghasemi, Omid Abachian Chehel Amirani, Mehdi Urmia University Electrical and Computer Engineering Department Urmia57179-44514 Iran

Integrating reconfigurable intelligent surfaces (RISs) with energy harvesting technology offers a promising solution to enhance the performance of wireless networks. This letter investigates an RIS-assisted wireless powered sensor network (WPSN) where sensors distributed in an area harvest energy from an unmanned aerial vehicle (UAV) and subsequently transmit their data to the fusion center (FC) using the Time Division Multiple Access (TDMA) protocol, aided by an RIS mounted on the UAV. In the proposed model, the wireless power transfer (WPT) time is predetermined as a fraction of the total data transmission time and is excluded from the optimization variables. The objective is to maximize the sum throughput by optimally allocating time to the sensors and adjusting the phase shifts of the RIS elements. The resulting non-convex optimization problem is solved by decomposing it into two subproblems: first, determining the optimal phase shifts;and second, developing an algorithm for optimal time allocation using the Lagrange dual method and Karush-Kuhn-Tucker (KKT) conditions. Excluding the WPT time from the optimization variables enables us to develop an efficient algorithm for time allocation with significantly reduced execution time compared to scenarios where WPT time is also an optimization variable, while maintaining comparable performance. Numerical results demonstrate that the proposed method significantly improves the network's performance. © 2025 IEEE.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Young Professional Events at the 2024 International Microwave Biomedical Conference [Young Professionals]

引用

IEEE Microwave Magazine 2025年第1期26卷 92-93页

作者： Meo, Simona Di University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia27100 Italy

来源：评论

学校读者我要写书评

暂无评论

Breakdown of effective medium theory:A study of photonic spin Hall effect in deep-subwavelength all-dielectric multilayers

引用

Science China(Physics,Mechanics & Astronomy) 2024年第4期67卷 173-174页

作者： Yongmin Liu Department of Mechanical and Industrial Engineering Northeastern UniversityBoston 02115USA Department of Electrical and Computer Engineering Northeastern UniversityBoston 02115USA

Effective medium theory(EMT)has been widely applied in material science,electromagnetics and photonics to determine the effective material properties for inhomogeneous composites comprising subwavelength *** versatility of this foundational approach has been established through its application in classical Maxwell-Garnet models,which encompass relatively simple structures。

关键词： composites theory dielectric

来源：评论

学校读者我要写书评

暂无评论

3D Anisotropic Asymmetric Pyramid (AAP-Net) Network Model for Brain Metastases Segmentation on Multi-Sequence MRI

引用

IEEE Access 2025年 13卷 86983-86997页

作者： Farghaly, Omar Deshpande, Priya Electrical and Computer Engineering Department Maquette University MilwaukeeWI53233 United States

Brain metastases (BM) present a formidable challenge in clinical oncology, demanding precise segmentation and prediction to optimize patient care. Definite detection of BM is crucial for effective treatment planning and prognosis, particularly in radiation therapy. Manual detection of BMs is laborious and prone to error due to their small sizes, irregular shapes, and low contrast in the imaging. The emergence of deep learning technologies has shown promise in automating BM detection, thereby addressing the limitations of manual methods. However, most existing approaches utilize 2D images, overlooking spatial information and employing uniform isotropic images, which deviates from real-life conditions where anisotropic images are more common. This paper presents a novel 3D anisotropic aysmmetric pyramid (AAP-Net) model that integrates advanced deep learning techniques to accurately detect and segment BMs in 3D magnetic resonance imaging (MRI) volumes, capturing the intricate details and spatial relationships crucial for precise diagnosis. By preserving the anisotropic nature of medical images, our model better reflects real-life scenarios, enhancing its efficacy in clinical settings. Through extensive evaluation, we demonstrate the superior performance of our 3D model compared to previous state-of-the-art models. This superiority is evidenced by achieving a mean Dice Similarity Coefficient (DSC) score across K-fold of 0.88 ± 0.01 , Intersection Over Union (IOU) score of 0.80 ± 0.02 , recall and precision values of 0.91 ± 0.01 and 0.93 ± 0.01 respectively using T1 post-contrast MRI images, underscoring the model’s enhanced accuracy and efficacy in BM detection and segmentation. © 2013 IEEE.

关键词： Radiotherapy

来源：评论

学校读者我要写书评

暂无评论

Automatic Classifying of Requirements-relevant contents from App Reviews in the Arabic Language

IEEE Open Journal of the Computer Society

引用

IEEE Open Journal of the computer Society 2025年第1期6卷 862-873页

作者： Hanani, Abualsoud A. Isaac, Alaa R. Abu-Issa, Abdallatif Birzeit University Electrical and Computer Engineering Palestine Birzeit University Software Engineering Palestine

The market for mobile application development continues to thrive with billions of users and millions of apps. Collecting software requirements for mobile apps has to cope with this trend, so as for the software to compete in this crowded scene. Therefore, efforts to analyze mobile app reviews for requirements have shown a similar trend of increase. Among the billions of mobile users, there are hundreds of millions of Arabic-speaking users. According to our knowledge, this study would be one of the first studies in the field of mining mobile app reviews for the assistance of requirements engineering, to direct its focus on Arabic reviews. The main contribution of this study is to provide a framework for mining mobile app reviews in Arabic. A dataset of 7604 Arabic app reviews has been constructed and manually annotated by six experts. Each categorization aims at assisting one or more processes of software requirements engineering. Three configurations of deep neural networks, namely, CNN, LSTM, and BLSTM, were used to classify the app reviews into the considered categories of software requirements from the Arabic reviews. Furthermore, two word embeddings were utilized, on pre-trained models;Fasttext and Word2Vec, produced by this study. The sentimental analysis results show that the LSTM classifier with the Fasttext word embeddings gives the best F1-score, 79.17%. However, the BLSTM classifier with the fastText embeddings outperforms the other classifiers, with an F1-score of 69.83%, when used for identifying the sub-categories of the user perspective main category. The F1-score for classifying the sub-categories of the intention and topics with the LSTM and using fastText embeddings is 82.68% and 85,02%, respectively. These results outperform the other configurations of the classifiers and word embeddings. These results demonstrate the potential of our system to serve as a robust tool for automating software requirement extraction from Arabic app reviews, particula

关键词： Requirements engineering

来源：评论

学校读者我要写书评

暂无评论

Development of a plasmonic multimode refractive index optical sensor based on ring resonator supercells for precise detection of brain lesions

引用

Optical and Quantum Electronics 2025年第6期57卷 1-16页

作者： Khodaie, Ali Heidarzadeh, Hamid Moghtader, Mohammad Ali Shokrzadeh Department of Electrical and Computer Engineering University of Mohaghegh Ardabili Ardabil Iran

This research focuses on the development of an advanced plasmonic multimode refractive index (MMRI) optical sensor designed for the precise detection of brain lesions and other biological markers. Operating in the near-infrared (NIR) spectrum, the sensor leverages the superior tissue penetration and low absorption characteristics of NIR light in biological materials. Its innovative design incorporates ring resonator supercells that generate eight distinct resonance modes within the 1000–5000 nm reflectance spectrum. The sensor’s performance was analyzed using the finite-difference time-domain (FDTD) numerical simulation method. Through meticulous optimization of the supercell geometry and materials, the sensor achieves exceptional performance metrics, including high sensitivity, a significant figure of merit (FOM), and outstanding detection limits for subtle refractive index variations associated with brain lesions. Notably, the sensor exhibits a remarkable sensitivity of 2561.3 nm/RIU in its first resonance mode. Furthermore, the sixth resonance mode, with an FOM exceeding 50 RIU−1, highlights its potential for specialized biosensing applications. The sensor’s multimode detection capabilities, enabled by the ring resonator supercell design, enhance its versatility for a broad range of biosensing tasks. This advanced technology represents a significant breakthrough in medical imaging and biological diagnostics, offering the potential for non-invasive and highly accurate evaluation of cancer cells, biomarkers, and other pathogenic factors. Its combination of high sensitivity, multimodal functionality, and adaptability positions it as a powerful diagnostic tool, paving the way for improved early detection and monitoring of various medical conditions. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Tissue

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：