2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)最新文献

HTC Vive as a Ground-Truth System for Anchor-Based Indoor Localization HTC Vive作为基于锚定的室内定位的Ground-Truth系统

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222439

Laura Flueratoru, E. Lohan, J. Nurmi, D. Niculescu

{"title":"HTC Vive as a Ground-Truth System for Anchor-Based Indoor Localization","authors":"Laura Flueratoru, E. Lohan, J. Nurmi, D. Niculescu","doi":"10.1109/ICUMT51630.2020.9222439","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222439","url":null,"abstract":"The last decade has seen a surge in the popularity of indoor localization systems. Researchers and companies keep searching for technologies that can locate users on a large scale with low costs and the highest possible accuracy. When evaluating the accuracy of a localization system, there is a trade-off between the cost and labor involved in acquiring ground-truth measurements. The cheapest option is to acquire measurements in fixed spots and manually compute their true location in a local coordinate system using distance measuring tools. However, this method is prone to human errors and has a high setup overhead. In contrast, high-end motion capture systems are easy to set up but have prohibitive prices. A middle-of-the-road solution is to use a consumer-grade motion capture system such as the HTC Vive which, although designed for virtual reality video games, can be adapted for scientific applications. We propose a ground-truth system for anchor-based indoor localization systems which builds on the HTC Vive and we demonstrate its use on ultra-wideband (UWB) localization. We apply Procrustes Analysis to bring location data sets into the coordinate system of a room, in order to easily overlap, visualize, and analyze measurements. We use the HTC Vive to acquire the locations of UWB anchors, which allows users to quickly test which hardware placement yields the lowest localization error. The resulting ground-truth system costs under $1000, has an average accuracy of more than 5 mm, is easy to set up, and can be used for both static and dynamic measurements.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117277298","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: 6

Review and Analysis of the Classical and Post-Quantum Ring Signature Algorithms 经典和后量子环签名算法的回顾与分析

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222244

A. Leevik, V. Beliaev, Boris Stasenko, Vadim V. Davydov, S. Bezzateev

引用次数: 0

ICUMT 2020 Table of Contents ICUMT 2020目录

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/icumt51630.2020.9222452

T. Cjjm, Icumt

引用次数: 0

Parkinson’s Disease Detection based on Changes of Emotions during Speech 基于言语情绪变化的帕金森病检测

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222446

Justyna Skibinska, Radim Burget

引用次数: 7

Delay prediction in IoT using Machine Learning Approach 使用机器学习方法的物联网延迟预测

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222245

A. Abdellah, O. A. Mahmood, A. Koucheryavy

{"title":"Delay prediction in IoT using Machine Learning Approach","authors":"A. Abdellah, O. A. Mahmood, A. Koucheryavy","doi":"10.1109/ICUMT51630.2020.9222245","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222245","url":null,"abstract":"The combination of 5G, artificial intelligence, and the Internet of Things will have a great impact on future generations of wireless networks. Internet of Things (IoT) is expected to have important traffic exchange in future wireless networks. It is a generic term for technologies that allow devices to communicate with each other. These are wired and wireless sensing systems that send information from one device to another. The network traffic prediction problem includes the prediction of future network traffic characteristics from observations of past traffic. Network traffic forecasting has many applications including network monitoring, resource management, and fault detection. Machine learning (ML) has been successfully applied to traffic prediction. ML technologies have proven capable of capturing nonlinear patterns in data, making them a good candidate for traffic prediction. In this paper, we perform the delay prediction in IoT communication using a multistep ahead prediction (MSP) and single-step ahead prediction (SSP) with Time Series NARX Recurrent Neural Networks. The prediction accuracy has been evaluated using three neural network training algorithms: Trainlm, Traincgf, Trainrp, with MSE as performance function in terms of using root mean square error (RMSE) and mean absolute percentage error (MAPE) as prediction accuracy measure.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124532583","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: 9

Gender Differentiated Convolutional Neural Networks for Speech Emotion Recognition 基于性别分化的卷积神经网络语音情感识别

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222412

P. Mishra, Ruchir Sharma

{"title":"Gender Differentiated Convolutional Neural Networks for Speech Emotion Recognition","authors":"P. Mishra, Ruchir Sharma","doi":"10.1109/ICUMT51630.2020.9222412","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222412","url":null,"abstract":"This paper proposes a two-stage gender-differentiated system for Speech Emotion Recognition using Mel-frequency Cepstral Coefficients and Convolutional Neural Networks. Acoustical variances between male and female speakers pose a problem and it is established that gender-dependent emotion recognizers perform better than gender-independent ones. The provided solution can recognize seven emotions (anger, disgust, fear, happiness, sadness, surprise, and neutral state). Data augmentation is used to compensate for the lack of quality data, with the raw speech samples derived from four datasets, namely: RAVDESS, CREMA-D, SAVEE, and TESS. The system is composed of two stages: 1) gender classification and; 2) emotion classification. The output of the gender classifier in the first stage determines the gender-specific classifier for the second stage. The experimental evaluation displays the performance in terms of the correct emotion recognition rate of the proposed SER model. The results demonstrate that a gender-differentiated system significantly improves performance. The obtained results also show that using Global Average Pooling instead of a fully-connected network at the end of the CNN classifier further improves the performance. Future implementations of this proposed system may allow effective human-computer intelligent interaction.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134145707","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

On the performance slope of short LDPC codes 短LDPC码的性能斜率

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222432

L. Medova, P. Rybin, I. E. Sidorenko

引用次数: 0

Field Sensor Network for Microclimatological Measurements 用于微气候测量的现场传感器网络

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222247

R. Juran, A. Povalac

{"title":"Field Sensor Network for Microclimatological Measurements","authors":"R. Juran, A. Povalac","doi":"10.1109/ICUMT51630.2020.9222247","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222247","url":null,"abstract":"This paper brings an overview of the designed system for monitoring hydrothermal soil CO2 flux, especially its wireless infrastructure based on a private LoRaWAN network. There are interesting results in terms of LoRaWAN performance in the target location – valley of river Becva in the Hranice karst,ˇ a hydrothermal karst area located in the eastern Czech Republic, home of the famous deepest freshwater abyss in the world – Hranice Abbys. The main obtained key result is the overall performance of LoRaWAN infrastructure in the target area, based on iC880A gateway and nodes with Microchip RN2483, all registered in The Things Network. Measured data were obtained by sending WGS84 format coordinates through the network. Upon reception, the gateway supplemented the data with the parameters of the received signal and stored with the data to Google Spreadsheets. Since the weakest RSSI received within the are is well above -120 dBm, not reaching the -135 dBm limit of the gateway, the results suggest relatively good potential of this technology in this application, even though the environment is quite of diverse character, therefore the obstacles are not uniformly distributed and growing distance does not always imply more obstructing objects in the signal path.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122179278","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

SCADA-based Message Generator for Multi-Vendor Smart Grids: Integration and Verification of TASE.2 基于scada的多厂商智能电网消息生成器:tase的集成与验证

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222445

Petr Ilgner, Martin Stusek, P. Cika, M. Sikora

引用次数: 0

Managing COVID-19 Global Pandemic With High-Tech Consumer Wearables: A Comprehensive Review 利用高科技消费者可穿戴设备管理COVID-19全球大流行:全面回顾

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) Pub Date : 2020-10-01 DOI: 10.1109/ICUMT51630.2020.9222428

Asma Channa, N. Popescu, N. Malik

引用次数: 7