发布求助
文献互助 智能选刊 最新文献

2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)最新文献

筛选
英文 中文
Improved Graph-Based User Scheduling For Sum-Rate Maximization in LEO-NTN Systems 基于改进图的LEO-NTN系统和速率最大化用户调度
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193499
B. Ahmad, D. Riviello, A. Guidotti, A. Vanelli-Coralli
{"title":"Improved Graph-Based User Scheduling For Sum-Rate Maximization in LEO-NTN Systems","authors":"B. Ahmad, D. Riviello, A. Guidotti, A. Vanelli-Coralli","doi":"10.1109/ICASSPW59220.2023.10193499","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193499","url":null,"abstract":"In this paper, we study the problem of user scheduling for Low Earth Orbit (LEO) Multi-User (MU) Multiple-Input-Multiple-Output (MIMO) Non-Terrestrial Network (NTN) systems with the objective of maximizing the sum-rate capacity while minimizing the total number of clusters. We propose an iterative graph-based maximum clique scheduling approach with constant graph density. Users are grouped together based on the channel coefficient of correlation (CoC) as dissimilarity metric and served by the satellite via Space Division Multiple Access (SDMA) by means of Minimum Mean Square Error (MMSE) digital beamforming on a cluster basis. Clusters are then served in different time slots via Time Division Multiple Access (TDMA). The results, presented in terms of per-cluster sum-rate capacity and per-user throughput, show that the presented approach can significantly improve the system performance.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127890749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
S-Feature Pyramid Network and Attention Module For Small Object Detection 小目标检测的s -特征金字塔网络与关注模块
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193441
Chuntao Wang, Pengcheng Dong, Jiande Sun, Zhenyong Lu, Kai Zhang, Wenbo Wan
{"title":"S-Feature Pyramid Network and Attention Module For Small Object Detection","authors":"Chuntao Wang, Pengcheng Dong, Jiande Sun, Zhenyong Lu, Kai Zhang, Wenbo Wan","doi":"10.1109/ICASSPW59220.2023.10193441","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193441","url":null,"abstract":"Because of the low resolution and limited information of small objects, and the computing resources are limited in practical applications, small object detection is still challenging. In order to improve the accuracy of small object detection, we propose a new method. It’s included a shallow feature pyramid network with an information extraction block at the shallow features and fused multi-scale semantic information. Further, context information with attention mechanism is adopted to make object detection focus on the significant area. We are one of the top five teams in the Drone-vs-Bird Detection Grand Challenge. The detection ability of our method for small objects is much higher than classical one-stage and two-stage detectors. For limited computer resources, 300×300 inputs are used and the detection speed of 45 fps is reached by the proposed method, which can realize real-time object detection.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117235415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved Water Vapor Density Estimation With Commercial Microwave Links Attenuation And Temperature 利用商用微波链路衰减和温度改进的水汽密度估计
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193740
Itay Bragin, Y. Rubin, P. Alpert, J. Ostrometzky
{"title":"Improved Water Vapor Density Estimation With Commercial Microwave Links Attenuation And Temperature","authors":"Itay Bragin, Y. Rubin, P. Alpert, J. Ostrometzky","doi":"10.1109/ICASSPW59220.2023.10193740","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193740","url":null,"abstract":"Water vapor measurement is beneficial for weather models. A machine learning support vector machine model for estimating water vapor density at a reference weather station location using measurements of the received signal level from commercial microwave link and trained with data from the reference weather station has already been proposed. In this paper, we propose an enhanced machine learning model that utilizes three commercial microwave links inside a given area, as well as additional temperature observations. This model can achieve higher accuracy of water vapor estimation (when compared to the weather station as ground truth). Specifically, we present preliminary results, and show that although certain uncertainties exist, the root mean square error achieved by the presented approach was more than twice as small as the error achieved when utilizing a model using a single commercial microwave link.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124463590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans 基于混合网络的CT扫描Covid-19检测技巧包
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10192945
Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chin-Han Tsai, Shen-Chieh Tai
{"title":"Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans","authors":"Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chin-Han Tsai, Shen-Chieh Tai","doi":"10.1109/ICASSPW59220.2023.10192945","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10192945","url":null,"abstract":"This paper presents a study using deep learning models to analyze lung Computed Tomography (CT) images. Traditionally used for this task, deep learning frameworks face compatibility issues due to the variances in CT image slice numbers and resolutions caused by the use of different machines. Typically, individual slices are predicted and combined to obtain the final result, but this approach lacks slice-wise feature learning and ultimately leads to decreased performance. To address this limitation, we propose a novel slice selection method for each CT dataset, effectively filtering out uncertain slices and enhancing the model’s performance. Moreover, we introduce a spatial-slice feature learning technique that uses a conventional and efficient backbone model for slice feature training. We then extract one-dimensional data from the trained COVID and non-COVID classification models by employing a dedicated classification model. Leveraging these experimental steps, we integrate one-dimensional features with multiple slices for channel merging and employ a 2D convolutional neural network for classification. In addition to the aforementioned methods, we explore various high-performance classification models, ultimately achieving promising results.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121652511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence AI-Toolkit:用于低代码分散机器智能的微服务架构
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193222
Vincenzo Lomonaco, Valerio De Caro, C. Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, K. Tserpes, M. Coppola, Mina Marmpena, S. Politi, E. Schoitsch, D. Bacciu
{"title":"AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence","authors":"Vincenzo Lomonaco, Valerio De Caro, C. Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, K. Tserpes, M. Coppola, Mina Marmpena, S. Politi, E. Schoitsch, D. Bacciu","doi":"10.1109/ICASSPW59220.2023.10193222","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193222","url":null,"abstract":"Artificial Intelligence and Machine Learning toolkits such as Scikit-learn, PyTorch and Tensorflow provide today a solid starting point for the rapid prototyping of R&D solutions. However, they can be hardly ported to heterogeneous decentralised hardware and real-world production environments. A common practice involves outsourcing deployment solutions to scalable cloud infrastructures such as Amazon SageMaker or Microsoft Azure. In this paper, we proposed an open-source microservices-based architecture for decentralised machine intelligence which aims at bringing R&D and deployment functionalities closer following a low-code approach. Such an approach would guarantee flexible integration of cutting-edge functionalities while preserving complete control over the deployed solutions at negligible costs and maintenance efforts.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"72 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123118743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cooperative Dual Leo Satellite Transmission in Multi-User OTFS Systems 多用户OTFS系统中的协同双Leo卫星传输
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193019
Màrius Caus, M. Shaat, A. Pérez-Neira, M. Schellmann, Hanwen Cao
{"title":"Cooperative Dual Leo Satellite Transmission in Multi-User OTFS Systems","authors":"Màrius Caus, M. Shaat, A. Pérez-Neira, M. Schellmann, Hanwen Cao","doi":"10.1109/ICASSPW59220.2023.10193019","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193019","url":null,"abstract":"This paper explores multi-satellite transmission schemes. The focus is on the multi-user downlink scenario, where two low Earth orbit satellites transmit data cooperatively, which are then combined at each of the ground user terminals. A single synchronization circuit is employed at the receiver to reduce the terminal burden. The orthogonal time and frequency space (OTFS) waveform is utilized to handle the residual offsets and schedule users on non-overlapping delay-Doppler resources. The paper leverages on OTFS, beam-centric compensation and the characteristics of the satellite channel to eliminate inter-user interference. Numerical results assess the effectiveness of the proposed scheme and highlight the improvement in performance achieved through satellite cooperation as compared to single satellite transmission.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132484629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ALL-IDB Patches: Whole Slide Imaging For Acute Lymphoblastic Leukemia Detection Using Deep Learning ALL-IDB贴片:利用深度学习检测急性淋巴细胞白血病的全切片成像
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193429
A. Genovese, V. Piuri, F. Scotti
{"title":"ALL-IDB Patches: Whole Slide Imaging For Acute Lymphoblastic Leukemia Detection Using Deep Learning","authors":"A. Genovese, V. Piuri, F. Scotti","doi":"10.1109/ICASSPW59220.2023.10193429","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193429","url":null,"abstract":"The detection of Acute Lymphoblastic (or Lymphocytic) Leukemia (ALL) is being increasingly performed using Deep Learning models (DL) that analyze each blood sample to detect the presence of lymphoblasts, possible indicators of the disease. However, images included in current databases are either too large or already segmented. In this paper, we introduce ALL-IDB_Patches, a novel approach for processing Whole Slide Images (WSI) of ALL to take advantage of all the information available for ALL detection, by generating a larger number of samples and making the images usable by current DL models, without any pre-performed segmentation. To evaluate the attainable classification accuracy, we consider the OrthoALLNet, a Convolutional Neural Network (CNN) obtained by imposing an additional orthogonality constraint on the learned filters. The experimental results confirm the validity of our approach.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids 助听器非线性反馈消除的频域功能链接
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193300
Alireza Nezamdoust, M. Gogate, K. Dashtipour, Amir Hussain, D. Comminiello
{"title":"Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids","authors":"Alireza Nezamdoust, M. Gogate, K. Dashtipour, Amir Hussain, D. Comminiello","doi":"10.1109/ICASSPW59220.2023.10193300","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193300","url":null,"abstract":"The problem of feedback cancellation can be seen as a function approximation task, which often is nonlinear in real-world hearing assistive technologies. Nonlinear methods adopted for this task must exhibit outstanding modeling performance and reduced computational cost. To this end, in this paper, we propose a functional link adaptive filter tailored for the problem of feedback cancellation in hearing aids. The proposed model involves an adaptive exponential nonlinear expansion to better model speech signals, and a partitioned-block frequency-domain adaptation to reduce the computational cost and allow for online processing. Experimental results prove the effectiveness of the proposed method in hearing assistive problems.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128444437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neuronal Cell Type Classification Using Locally Sparse Networks 基于局部稀疏网络的神经元细胞类型分类
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193577
Ofek Ophir, Orit Shefi, O. Lindenbaum
{"title":"Neuronal Cell Type Classification Using Locally Sparse Networks","authors":"Ofek Ophir, Orit Shefi, O. Lindenbaum","doi":"10.1109/ICASSPW59220.2023.10193577","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193577","url":null,"abstract":"The brain is likely the most complex organ, given the variety of functions it controls, the number of cells it comprises, and their corresponding connectivity and diversity. Identifying and studying neurons, the major building blocks of the brain, is a crucial milestone and is essential for understanding brain functionality in health and disease. Recent developments in machine learning have provided advanced abilities for classifying neurons, mainly according to their morphology. This paper aims to provide an explainable deep-learning framework to classify neurons based on their electrophysiological activity. Our analysis is performed on data provided by the Allen Cell Types database. The data contains a survey of biological features derived from single-cell recordings from mice. Neurons are classified into subtypes based on Cre mouse lines using an inherently interpretable locally sparse deep neural network model. We show state-of-the-art results in the neuron classification task while providing explainability to the decisions made by the model.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126832354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Cramér Rao Based Study of 2-D Fields Retrieval By Measurements From a Random Sensor Network 基于cramims的随机传感器网络测量反演二维场的研究
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) Pub Date : 2023-06-04 DOI: 10.1109/ICASSPW59220.2023.10193063
Shay Sagiv, H. Messer
{"title":"A Cramér Rao Based Study of 2-D Fields Retrieval By Measurements From a Random Sensor Network","authors":"Shay Sagiv, H. Messer","doi":"10.1109/ICASSPW59220.2023.10193063","DOIUrl":"https://doi.org/10.1109/ICASSPW59220.2023.10193063","url":null,"abstract":"In this work we present a theoretical study on the performance of retrieving a 2-D field represented as a superposition of B-Spline 2-D patches, using measurements from sensors randomly located in the field. We considered 3 types of sensors: point-projection sensors, line-projection sensors, and surface-projection sensors. We compare the achievable retrieval performance using the different types of sensors, while keeping their nominal locations the same. The non-parametric modeling of the field allows us to present close-form expressions for the Cramér-Rao lower bound (CRLB) on the estimation errors of the field’s parameters, which indicate on the best possible performance, independent on the mapping algorithm used. The comparison of the CRLB using different types of sensors indicates on the best sampling strategy. The work was motivated by the problem of rain retrieval using either rain gauges (point-projection sensors) or Commercial Microwave Links - CMLs (line projection sensors). Surface projection sensors can represent CMLs sampling a moving rain field. The results are applied for the problem of estimating the accumulated rain over a given area.","PeriodicalId":158726,"journal":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126615041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信