Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222439
Laura Flueratoru, E. Lohan, J. Nurmi, D. Niculescu
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.
{"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}
Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222244
A. Leevik, V. Beliaev, Boris Stasenko, Vadim V. Davydov, S. Bezzateev
In this paper a review and analysis of ring signature algorithms based on discrete logarithm and code-based problems is made. The authors consider Linkable and Multilayer Linkable Spontaneous Anonymous Group Signatures which are based on the discrete logarithm problem. Taking into the account the fact that quantum computers have already been developed, we look at different variations of code-based signatures (linkable, multilayer linkable, traceable and threshold) and analyse the efficiency of their use. Finally, the analysis of these signatures is made and standard code-based algorithms are compared.
{"title":"Review and Analysis of the Classical and Post-Quantum Ring Signature Algorithms","authors":"A. Leevik, V. Beliaev, Boris Stasenko, Vadim V. Davydov, S. Bezzateev","doi":"10.1109/ICUMT51630.2020.9222244","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222244","url":null,"abstract":"In this paper a review and analysis of ring signature algorithms based on discrete logarithm and code-based problems is made. The authors consider Linkable and Multilayer Linkable Spontaneous Anonymous Group Signatures which are based on the discrete logarithm problem. Taking into the account the fact that quantum computers have already been developed, we look at different variations of code-based signatures (linkable, multilayer linkable, traceable and threshold) and analyse the efficiency of their use. Finally, the analysis of these signatures is made and standard code-based algorithms are compared.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"26 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":"120990930","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}
Pub Date : 2020-10-01DOI: 10.1109/icumt51630.2020.9222452
T. Cjjm, Icumt
{"title":"ICUMT 2020 Table of Contents","authors":"T. Cjjm, Icumt","doi":"10.1109/icumt51630.2020.9222452","DOIUrl":"https://doi.org/10.1109/icumt51630.2020.9222452","url":null,"abstract":"","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"34 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":"122993024","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}
Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222446
Justyna Skibinska, Radim Burget
Parkinson’s disease (PD) is the neurodegenerative disease which affects 2-3 % of the population beyond 65 years of age in EU. When PD treatment is administered early, it is significantly more effective. Unfortunately, it is quite challenging to detect this disease at its early stage and when the symptoms can be recognized it is usually quite late. For this reason there is big motivation for development more accessible and accurate solutions for the detection of PD. One of the early symptoms is so-called hypomimia. This paper introduces an automatic method, which can objectively detect PD. The method is based on analysis of emotion changes during pronunciation defined speech exercises. We achieved balanced accuracy 69 % using XGBoost algorithm. As the exercise we proposed to use a Czech tongue twister - the difficult to pronounce sentence. The features can be explained and thus it can be used in clinical practice. We identified that the most valuable emotion for PD detection in this case is fear.
{"title":"Parkinson’s Disease Detection based on Changes of Emotions during Speech","authors":"Justyna Skibinska, Radim Burget","doi":"10.1109/ICUMT51630.2020.9222446","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222446","url":null,"abstract":"Parkinson’s disease (PD) is the neurodegenerative disease which affects 2-3 % of the population beyond 65 years of age in EU. When PD treatment is administered early, it is significantly more effective. Unfortunately, it is quite challenging to detect this disease at its early stage and when the symptoms can be recognized it is usually quite late. For this reason there is big motivation for development more accessible and accurate solutions for the detection of PD. One of the early symptoms is so-called hypomimia. This paper introduces an automatic method, which can objectively detect PD. The method is based on analysis of emotion changes during pronunciation defined speech exercises. We achieved balanced accuracy 69 % using XGBoost algorithm. As the exercise we proposed to use a Czech tongue twister - the difficult to pronounce sentence. The features can be explained and thus it can be used in clinical practice. We identified that the most valuable emotion for PD detection in this case is fear.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"594 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":"116319944","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}
Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222245
A. Abdellah, O. A. Mahmood, A. Koucheryavy
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.
{"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}
Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222412
P. Mishra, Ruchir Sharma
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.
本文提出了一种基于mel频率倒谱系数和卷积神经网络的两阶段性别区分语音情感识别系统。男性和女性说话者之间的声音差异构成了一个问题，性别依赖的情绪识别器比性别独立的情绪识别器表现得更好。提供的解决方案可以识别七种情绪(愤怒，厌恶，恐惧，快乐，悲伤，惊讶和中性状态)。数据增强用于弥补质量数据的不足，原始语音样本来自四个数据集，即:RAVDESS, CREMA-D, SAVEE和TESS。该系统由两个阶段组成:1)性别分类和;2)情绪分类。第一阶段性别分类器的输出决定了第二阶段的性别分类器。实验评价显示了所提出的SER模型在情绪识别率方面的性能。结果表明，性别区分系统显著提高了绩效。得到的结果还表明，在CNN分类器的末端使用Global Average Pooling而不是全连接网络进一步提高了性能。该系统的未来实现可能允许有效的人机智能交互。
{"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}
Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222432
L. Medova, P. Rybin, I. E. Sidorenko
The present work is a continuation of the previous study [1] on the performance of short LDPC codes. We have examined a sample of (128,256) different LDPC codes and explored their bit error-rate curves as a function of Tanner graph properties. It was found that certain graph characteristics correlate with LDPC code performance and can help to distinguish LDPC codes with a good decoding threshold (less or equal 3.5 dB) from others. In this work, we investigate a slope of bit error- rate curves that along with a decoding threshold provides an information on code performance.
{"title":"On the performance slope of short LDPC codes","authors":"L. Medova, P. Rybin, I. E. Sidorenko","doi":"10.1109/ICUMT51630.2020.9222432","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222432","url":null,"abstract":"The present work is a continuation of the previous study [1] on the performance of short LDPC codes. We have examined a sample of (128,256) different LDPC codes and explored their bit error-rate curves as a function of Tanner graph properties. It was found that certain graph characteristics correlate with LDPC code performance and can help to distinguish LDPC codes with a good decoding threshold (less or equal 3.5 dB) from others. In this work, we investigate a slope of bit error- rate curves that along with a decoding threshold provides an information on code performance.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"8 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":"131526878","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}
Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222247
R. Juran, A. Povalac
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.
本文介绍了所设计的热液土壤CO2通量监测系统，特别是其基于专用LoRaWAN网络的无线基础设施。LoRaWAN在目标位置(Hranice karst的Becva河山谷)的性能方面有有趣的结果，Hranice Abbys位于捷克共和国东部，是世界上著名的最深的淡水深渊- Hranice Abbys的所在地。主要获得的关键结果是目标区域的LoRaWAN基础设施的整体性能，基于iC880A网关和带有Microchip RN2483的节点，均注册在The Things Network中。测量数据通过网络发送WGS84格式坐标获得。网关接收到信号后，将接收到的信号参数进行数据补充，并与数据一起存储到Google Spreadsheets中。由于该区域内接收到的最弱RSSI远高于-120 dBm，而未达到网关的-135 dBm限制，因此结果表明该技术在该应用中具有相对良好的潜力，即使环境具有相当多样化的特征，因此障碍物并不均匀分布，距离的增加并不总是意味着信号路径中障碍物的增加。
{"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}
Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222445
Petr Ilgner, Martin Stusek, P. Cika, M. Sikora
This paper describes a system for generating messages according to the sets of standards IEC 60870-6 (ICCP/TASE.2). Particular attention is paid to messages exchanged between the power grid nodes and control centers. We discussed the typical grid network architecture and communication strategies. On this basis, we proposed and implemented the software to simulate real TASE.2 system operation in two different communication modes. The architecture of the designed generator is described in detail, including methods to ensure high-performance and scalability. The system supports the cryptographic security of the generated traffic. The proposed generator allows users to perform the complex testing and verification of the TASE.2 network nodes configuration, including the testing of connection to the related system such as message brokers and analytics tools. Due to the high performance and scalability of the proposed generator, it is possible to perform the stress testing of these systems.
{"title":"SCADA-based Message Generator for Multi-Vendor Smart Grids: Integration and Verification of TASE.2","authors":"Petr Ilgner, Martin Stusek, P. Cika, M. Sikora","doi":"10.1109/ICUMT51630.2020.9222445","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222445","url":null,"abstract":"This paper describes a system for generating messages according to the sets of standards IEC 60870-6 (ICCP/TASE.2). Particular attention is paid to messages exchanged between the power grid nodes and control centers. We discussed the typical grid network architecture and communication strategies. On this basis, we proposed and implemented the software to simulate real TASE.2 system operation in two different communication modes. The architecture of the designed generator is described in detail, including methods to ensure high-performance and scalability. The system supports the cryptographic security of the generated traffic. The proposed generator allows users to perform the complex testing and verification of the TASE.2 network nodes configuration, including the testing of connection to the related system such as message brokers and analytics tools. Due to the high performance and scalability of the proposed generator, it is possible to perform the stress testing of these systems.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"10 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":"124015548","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}
Pub Date : 2020-10-01DOI: 10.1109/ICUMT51630.2020.9222428
Asma Channa, N. Popescu, N. Malik
The novel corona virus (COVID-19) created a havoc all around the globe without any prediction of its eradication. All the previous methods seemed to fail and exceptional considerations are now required to be deployed in order to deal with this pandemic. The aim of this retrospective study is to highlight the new solutions to manage and deal with the pandemic. This study discusses different e-health wearable devices that help in early diagnosis of COVID-19 symptoms and also presents an overview of some artificial intelligence and machine learning techniques applied on CT-scan or Chest X-ray images to refine the correct diagnosis of patients. Finally, this work addresses the importance of smart chat-bots that provides assistance to the people suffering from stress and anxiety during quarantine. These chat-bots can offer psychological therapies in isolation and can be very useful.
{"title":"Managing COVID-19 Global Pandemic With High-Tech Consumer Wearables: A Comprehensive Review","authors":"Asma Channa, N. Popescu, N. Malik","doi":"10.1109/ICUMT51630.2020.9222428","DOIUrl":"https://doi.org/10.1109/ICUMT51630.2020.9222428","url":null,"abstract":"The novel corona virus (COVID-19) created a havoc all around the globe without any prediction of its eradication. All the previous methods seemed to fail and exceptional considerations are now required to be deployed in order to deal with this pandemic. The aim of this retrospective study is to highlight the new solutions to manage and deal with the pandemic. This study discusses different e-health wearable devices that help in early diagnosis of COVID-19 symptoms and also presents an overview of some artificial intelligence and machine learning techniques applied on CT-scan or Chest X-ray images to refine the correct diagnosis of patients. Finally, this work addresses the importance of smart chat-bots that provides assistance to the people suffering from stress and anxiety during quarantine. These chat-bots can offer psychological therapies in isolation and can be very useful.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"1 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":"129496965","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：