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2021 44th International Conference on Telecommunications and Signal Processing (TSP)最新文献

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Influence of Camera Framerate Variations on an Optical Camera Communication System 摄像机帧率变化对光学摄像机通信系统的影响
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522596
R. Preda, R. Dobre, R. Badea
{"title":"Influence of Camera Framerate Variations on an Optical Camera Communication System","authors":"R. Preda, R. Dobre, R. Badea","doi":"10.1109/TSP52935.2021.9522596","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522596","url":null,"abstract":"Light Emitting Diodes (LED) equipment is used primarily just for lighting, but Visible Light Communication (VLC) is a new research domain that uses existing LED infrastructure for transmitting data, intelligent road traffic signaling, positioning, guiding inside buildings, etc. Most proposed VLC techniques use light sensors as receivers, but they are not readily available in devices that we use every day, or their sample rate is too low. A branch of VLC is represented by optical camera communications (OCC), where a video camera is the receiver, which, unlike a fast sampled light sensor, is available on any smartphone. Because of the operating system, there could be a variation in the framerate of video smartphone cameras while recording. This paper presents first stage simulations of such an indoor navigation system based on OCC, coupling together LED lights as sources with widely available modern smartphone cameras as receivers. The proposed experiments investigate the influences of camera framerate variation from the nominal value on the decoding performances of our OCC system and show that it can be used in real world conditions.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131635333","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: 2
A new approach for localization of copy-move forgery in digital images 数字图像复制移动伪造定位的新方法
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522680
Gul Tahaoglu, G. Ulutaş, B. Ustubioglu
{"title":"A new approach for localization of copy-move forgery in digital images","authors":"Gul Tahaoglu, G. Ulutaş, B. Ustubioglu","doi":"10.1109/TSP52935.2021.9522680","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522680","url":null,"abstract":"In this study, newly localization approach is presented to reveal copy-move forgery regions. Firstly, Speed-Up Robust Features (SURF) keypoints are utilized to label whether the suspicious input image is original or forged. With the presence of a sufficient number of the most similar keypoint matches, the image is labeled as forged and the location stage of the forged region is started. In determining the boundaries of the forged region, the blocks received around the matched keypoints are considered seed forged blocks. 8 overlapping neighboring blocks of these blocks in the target and source regions are labeled as candidate blocks. If the candidate blocks corresponding to each other meet the similarity requirement, they are labeled as forged blocks and the candidate block label is removed. The location phase is completed by evaluating the candidate blocks located in the neighborhood of all forged blocks. The high performance of the method has been proved in the freely available GRIP dataset with the experiments.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115617970","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
Design of ECG Device for Remote Data Collection 远程心电数据采集装置的设计
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522649
B. Babušiak, M. Šmondrk, L. Janoušek, J. Barabas
{"title":"Design of ECG Device for Remote Data Collection","authors":"B. Babušiak, M. Šmondrk, L. Janoušek, J. Barabas","doi":"10.1109/TSP52935.2021.9522649","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522649","url":null,"abstract":"The proposed article introduces a design of a remote electrocardiogram data collection system that could be deployed on a standard Android-based smartphone. The system consists of a one-lead ECG sensor designed as a USB dongle and a smartphone application devoted to data acquisition management. The main effort is focused on the hardware design and implementation of the ECG sensor component. During the ECG acquisition, the data are stored on the smartphone internal or external storage and transmitted to the remote biobank server for archiving and subsequent processing at predefined intervals.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116929898","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
Genetic Programming based Identification of an Industrial Process 基于遗传规划的工业过程识别
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522588
M. Tarasevich, A. Tepljakov, E. Petlenkov, V. Vansovits
{"title":"Genetic Programming based Identification of an Industrial Process","authors":"M. Tarasevich, A. Tepljakov, E. Petlenkov, V. Vansovits","doi":"10.1109/TSP52935.2021.9522588","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522588","url":null,"abstract":"In the field of industrial automation, it is essential to develop and improve mathematical methods that assist in obtaining more accurate models of real-world systems. In the following paper, a machine learning tool is applied to the problem of identifying a model of an industrial process. Symbolic regression and genetic programming are a successful combination of methods using which one can identify a nonlinear model in analytical form based on data collected from a process during routine operation. In this paper, a detailed description of the method implementation as well as necessary data preprocessing steps are presented. Then, the resulting models are validated on an industrial data set and compared on the basis of performance metrics with more classical methods and previous results achieved by the authors. Finally, the encountered problems in the realization of the methods are reflected upon.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125490279","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
Design and Investigation of a Self-Tuning Circuit for Integrated Active-RC Filter 集成有源rc滤波器自调谐电路的设计与研究
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522617
K. Kiela, Marijan Jurgo, V. Macaitis, R. Navickas
{"title":"Design and Investigation of a Self-Tuning Circuit for Integrated Active-RC Filter","authors":"K. Kiela, Marijan Jurgo, V. Macaitis, R. Navickas","doi":"10.1109/TSP52935.2021.9522617","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522617","url":null,"abstract":"In this article, an integrated filter’s self-tuning circuit based on time-constant detection for series- and parallel-connected resistor banks (SPRB) with discrete-step control is investigated and validated. Process, voltage and temperature compensation using SPRB structures can greatly reduce the layout area of the resistor tuning bank, while maintaining the same tuning range and maximum control step compared to the more classic structures of the tuning banks, such as series, parallel or R-2R. The proposed self-tuning circuit implements a two-step search approach and signal delay compensation to achieve precise tuning results for the filter using SPRB structure. Mean value of bandwidth variation equal to 1.4% is achieved at all process corners and temperatures ranging from −40°C to 80°C. The self-tuning circuit was validated with a reconfigurable 6th order low-pass filter, and designed using 65nm CMOS process, while using a 1.2 V supply.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125098485","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
Classification of the Neural Correlates of Mind Wandering States in EEG Signals 脑电信号中走神状态的神经关联分类
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522608
Valentin Moy, M. S. Yakoub, S. Selouani, Yasser Alharbi, Y. Alotaibi
{"title":"Classification of the Neural Correlates of Mind Wandering States in EEG Signals","authors":"Valentin Moy, M. S. Yakoub, S. Selouani, Yasser Alharbi, Y. Alotaibi","doi":"10.1109/TSP52935.2021.9522608","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522608","url":null,"abstract":"The presence of mind wandering states during attention-demanding activities may have negative consequences for task-related learning and success. Being able to distinguish between various levels of wandering through brain waves would be a fantastic tool in a variety of fields, including job optimization, driver vigilance monitoring, and even gaming. In this paper, we propose an approach that relies on EEG signal to deal with the issue of mind-wandering recognition as a classification challenge. Our model extracts the most important features of EEG data using a signal clipping and autocorrelation techniques then uses a deep neural network (DNN) to classify brain signal into high-level or low-level of wandering. The experiments demonstrated the effectiveness of the DNN model in detecting wandering episodes by achieving 73.5% accuracy which is 8.35% better than the best conventional neural network configuration.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132290947","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
Finger Movements Classification for Myoelectric Control Based on Artificial Neural Network 基于人工神经网络的肌电控制手指运动分类
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522614
I. Kralikova, B. Babušiak
{"title":"Finger Movements Classification for Myoelectric Control Based on Artificial Neural Network","authors":"I. Kralikova, B. Babušiak","doi":"10.1109/TSP52935.2021.9522614","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522614","url":null,"abstract":"A human-computer interface (HCI) based on electromyographic (EMG) signals represents one of the communication options between humans and a terminal device. This paper presents a classification of 13 finger movements based on an artificial neural network (ANN) for this purpose. EMG signals corresponding to movements were acquired from five healthy participants. Data acquisition using four bipolar channels was executed from the anterior forearm hand muscles. Four features in the time domain (TD) were extracted from pre-processed records. ANN models with different hyperparameters were investigated for classification purposes. The model with 36 hidden neurons in one hidden layer and sigmoid activation function achieved the overall highest accuracy of 96.8 %. Finally, two subjects performed a real-time classification experiment (one of them was not involved in the training process). The average accuracy of 89.23 % was achieved in this scenario.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114381966","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 Survey on Simulation Efforts of 4G/LTE-based Cellular and Hybrid V2X Communications 基于4G/ lte的蜂窝和混合V2X通信仿真研究综述
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522665
Hamdan Hejazi, L. Bokor
{"title":"A Survey on Simulation Efforts of 4G/LTE-based Cellular and Hybrid V2X Communications","authors":"Hamdan Hejazi, L. Bokor","doi":"10.1109/TSP52935.2021.9522665","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522665","url":null,"abstract":"In the past few years, the cellular telecommunication world advanced with new promised underlying technologies that enable robust communication networks with cellular communication-based approaches. Techniques such as the 4G/LTE and beyond could foster the development of the autonomous vehicle industry, and vehicular communication applications could also provide significant reliability in realistic road situations. The fourth-generation (4G) of mobile cellular telecommunication systems can be applied in Intelligent Transportation Systems (ITS) environments in terms of providing intelligent traffic solutions with an enhancement of the performance of Vehicle-to-Everything (V2X) communication and known as Cellular V2X (C-V2X). To highlight the efforts of 4G/LTE-based cellular communication in V2X technology evolution, this paper presents a comprehensive survey about the simulation evaluation papers of 4G/LTE technology in C-V2X or hybrid V2X communications.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114515638","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: 5
Simultaneous Prediction of Remaining-Useful-Life and Failure-Likelihood with GRU-based Deep Networks for Predictive Maintenance Analysis 基于gru的深度网络在预测维修分析中的剩余使用寿命和故障可能性同时预测
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522592
Ali Yuce Kaleli, Aras Firat Unal, S. Ozer
{"title":"Simultaneous Prediction of Remaining-Useful-Life and Failure-Likelihood with GRU-based Deep Networks for Predictive Maintenance Analysis","authors":"Ali Yuce Kaleli, Aras Firat Unal, S. Ozer","doi":"10.1109/TSP52935.2021.9522592","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522592","url":null,"abstract":"Predictive maintenance (PdM) has been an integral part of large industrial sites collecting data from multiple sensors to reduce the maintenance power and costs with the advent of Industry 4.0. Two of the major problems in PdM used at large industrial sites are: (i) the prediction of remaining useful life (RUL); (ii) the prediction of the likelihood of failing within a predefined time period. While data oriented maintenance predictions were heavily focused on using classical techniques for such problems, recent interest shifted towards utilizing AI based solutions due to the better generalization capabilities of deep solutions. Among the time-sequence based deep networks, RNN, GRU and LSTM based networks are the most frequently used solutions. GRUs have demonstrated their faster learning capabilities with near or better prediction performance on certain tasks already. However, predicting multiple PdM tasks including both RUL and failure detection, simultaneously within the same network in an end to end manner with GRUs has not been much studied in the literature before. In this paper, we introduce a solution to predict those two tasks simultaneously within the same network based on GRUs. In our experiments we compare the performance of GRU layers to LSTM and RNN layers and report their performance on NASA dataset.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114463597","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
Towards an MQTT5 geo-location extension for location-aware applications 为位置感知应用程序提供MQTT5地理位置扩展
2021 44th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2021-07-26 DOI: 10.1109/TSP52935.2021.9522590
Felicien Ihirwe, Giovanni Iovino, Davide Di Ruscio
{"title":"Towards an MQTT5 geo-location extension for location-aware applications","authors":"Felicien Ihirwe, Giovanni Iovino, Davide Di Ruscio","doi":"10.1109/TSP52935.2021.9522590","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522590","url":null,"abstract":"Location-aware applications are becoming popular nowadays because of the increasing adoption of edge and fog computing. This poses novel difficulties to the conventional applications that utilize the Message Queuing Telemetry Transport (MQTT) as their prevalent communication channel. Also, developers are obliged to figure out the code at whatever point they need to build up MQTT-based location-aware applications. This can causes various issues, for example, protocol standard infringement or problems in data acquisition. This paper proposes a novel extension of the recently released MQTT5 protocol that will permit message delivery by not only respecting the topics of interest but also in addition to geo-referenced information provided by both publishers and subscribers.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114066352","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
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