2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)最新文献_第4页

Adaptively Regularized Kernel-Based Fuzzy C-Means Clustering Algorithm Using Particle Swarm Optimization for Medical Image Segmentation 基于粒子群优化的自适应正则核模糊c均值聚类算法用于医学图像分割

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2020-09-23 DOI: 10.23919/spa50552.2020.9241242

Ibtissem Cherfa, Anissa Zergaïnoh-Mokraoui, A. Mekhmoukh, K. Mokrani

引用次数: 4

Stationary environment models for Advanced Driver Assistance Systems 高级驾驶员辅助系统的固定环境模型

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2020-09-23 DOI: 10.23919/spa50552.2020.9241306

Marek Szlachetka, D. Borkowski, Jarosław Wąs

引用次数: 0

General information 一般信息

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2020-09-23 DOI: 10.23919/spa50552.2020.9241282

引用次数: 0

Environmental quality monitoring with unmanned aircraft vehicle 利用无人驾驶飞行器进行环境质量监测

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2020-09-23 DOI: 10.23919/spa50552.2020.9241299

A. Dąbrowska, Michal Adamski, A. Dabrowski, T. Jankowski, Michał Kliczkowski

{"title":"Environmental quality monitoring with unmanned aircraft vehicle","authors":"A. Dąbrowska, Michal Adamski, A. Dabrowski, T. Jankowski, Michał Kliczkowski","doi":"10.23919/spa50552.2020.9241299","DOIUrl":"https://doi.org/10.23919/spa50552.2020.9241299","url":null,"abstract":"The paper discusses issues related to the possibility of using unmanned aerial vehicles (UAV) as an alternative to stationary analyses in the assessment of environmental quality, with particular emphasis on air pollutants such as particulate matter (PM), volatile organic compounds (VOCs), formaldehyde and SO2. In the course of the study, a simple mobile and automated measuring equipment was developed, with a miniaturized and lightweight design, which made it possible to place it on board of an unmanned aircraft. The applied solutions, including electrochemical sensors, allow to measure concentrations of specific substances or aspiration of samples from selected places for further analyses in a stationary laboratory. Thanks to communication with web server, the results can be collected online. Unlike stationary measurement methods, the mobility of unmanned aerial vehicles allows to obtain a larger number of measurement points from a larger area, which in turn allows to map zones particularly exposed to emissions and to assess the existing hazards on an ongoing basis.","PeriodicalId":157578,"journal":{"name":"2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121113015","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

Efficient detection of specific language impairment in children using ResNet classifier 使用ResNet分类器有效检测儿童特异性语言障碍

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2020-09-23 DOI: 10.23919/spa50552.2020.9241289

K. Kotarba, Michal Kotarba

{"title":"Efficient detection of specific language impairment in children using ResNet classifier","authors":"K. Kotarba, Michal Kotarba","doi":"10.23919/spa50552.2020.9241289","DOIUrl":"https://doi.org/10.23919/spa50552.2020.9241289","url":null,"abstract":"Specific language impairment (SLI), also known as developmental dysphasia, is a developmental language disorder that affects approximately 7% of the preschool population. It has long-term impact on children’s academic performance and educational progress. Moreover, SLI negatively affects children’s communication skills and social interactions. It is therefore essential to diagnose the condition at the early stage and conduct appropriate speech therapy. However, SLI often remains undetected due to the great variability of the symptoms and lack of optimal diagnostic indicators. In this paper, we propose an efficient approach to automatic SLI detection based on log-power spectra of speech samples. The LANNA children speech corpus containing utterances of healthy controls and SLI-diagnosed children was used during the algorithm development. The utterances were used to calculate the normalized log-power spectrograms. Deep neural network algorithm based on ResNet architecture was used to perform the classification task. The accuracy rate of proposed SLI detection method exceeds 99% in the speakerindependent scenario. Presented algorithm outperforms most of the state-of-the-art algorithms in terms of accuracy rate and requires low computational power due to its simplicity.","PeriodicalId":157578,"journal":{"name":"2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"51 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124536161","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: 4

Classification of road surfaces using convolutional neural network 基于卷积神经网络的路面分类

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2020-09-23 DOI: 10.23919/spa50552.2020.9241254

J. Balcerek, A. Konieczka, Karol Piniarski, P. Pawlowski

引用次数: 3

Optimisation of the PointPillars network for 3D object detection in point clouds 点云中三维目标检测的PointPillars网络优化

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2020-07-01 DOI: 10.36227/techrxiv.12593555

Joanna Stanisz, K. Lis, T. Kryjak, M. Gorgon

引用次数: 10