Adrian Tomasov, T. Horváth, P. Munster, M. Holik, V. Oujezský
{"title":"FPGA xPON Traffic Analysis","authors":"Adrian Tomasov, T. Horváth, P. Munster, M. Holik, V. Oujezský","doi":"10.1109/TSP52935.2021.9522610","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522610","url":null,"abstract":"Passive optical networks are a suitable and promising solution for the service delivery network, particularly for data, video, and voice communications. An optical distribution consists of passive elements (e.g., splitters, fibers), providing a cost-effective high bandwidth tree-like topology. This paper describes a new analysis system designed for an inspection of passive optical networks. The system uses an FPGA-accelerated network interface card to capture the communication from the optical network and machine learning models in order to evaluate the possible anomalies, errors, or attacks.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"71 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":"122027368","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}
{"title":"Detecting Faces With Face Masks","authors":"J. Prinosil, O. Maly","doi":"10.1109/TSP52935.2021.9522677","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522677","url":null,"abstract":"This paper deals with the evaluation of several methods for face detection when the face is covered by a mask. The methods evaluated are Haar cascade and Histogram of Oriented Gradients as feature-based approaches, Multitask Cascade Convolutional Neural Network, Max Margin Object Detection and TinyFace as convolutional neural network based approaches. Various types of face masks are considered: disposal face mask, burka, balaclava, ski helmet with ski goggles, hockey helmet with protective grill, costumes, and others. The TinyFace method achieves the best accuracy result, but also requires much more computational power than other approaches. Therefore, this paper describes an experiment to see if the accuracy of some of the remaining methods can be improved by retraining their models with new image data containing faces with various face masks.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"1 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":"129069372","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}
{"title":"M-CSK-Flip OFDM for Visible Light Communication Systems","authors":"M. Tekin, A. Savaşcıhabeş, Ö. Ertug","doi":"10.1109/TSP52935.2021.9522594","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522594","url":null,"abstract":"In last few years, research in visible light communications (VLC) based on the idea of using leds for both illumination and data communications in optical communication systems has been increasing. In this study, we propose M-ary CSK-Flip-OFDM system for optical wireless communication systems. The performance of the proposed scheme is compared with both the Flip-OFDM and classical OFDM systems in terms of bit error rate (BER) performance criteria. From the simulation results, it has been revealed that the results obtained with the proposed method provide better power efficiency than CSK-OFDM and QAM-Flip-OFDM performances.","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":"122206552","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}
Daniel Kováč, J. Mekyska, Z. Galaz, L. Brabenec, M. Kostalova, S. Rapcsak, I. Rektorová
{"title":"Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson’s Disease","authors":"Daniel Kováč, J. Mekyska, Z. Galaz, L. Brabenec, M. Kostalova, S. Rapcsak, I. Rektorová","doi":"10.1109/TSP52935.2021.9522597","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522597","url":null,"abstract":"Parkinson’s disease (PD) is associated with several speech/voice disorders collectively referred to as hypokinetic dysarthria (HD). The main goal of this study is to identify acoustic features that support the diagnosis of PD while being independent of the language of a speaker. We recorded seven speech (e.g. monologue) and voice (e.g. sustained phonation) tasks in a cohort of 59 PD patients and 44 age- and gender-matched healthy controls (HC) speaking Czech or US English. A non-parametric test revealed that the best discrimination power has a measure quantifying the number of interword pauses per minute. In a consequent classification analysis, utilising logistic regression, we observed a drop in the classification accuracy from 72–73% to 67%, when moving from single-language modelling to the multilingual one. The results of this study suggest that especially the prosodic (pause-based) features could play a significant role in the automatic language-independent diagnosis of PD.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"150 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":"130981440","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}
{"title":"A Collision-Free Path Planning Algorithm for Non-Complex ASRS Using Heuristic Functions","authors":"P. E. Abi-Char, C. Riman","doi":"10.1109/TSP52935.2021.9522682","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522682","url":null,"abstract":"Automated storage and retrieval systems (ASRS) are designed for automated storage and retrieval of parts and items in specific locations within manufacturing, warehouses, institutions, etc. ASRS systems offer many advantages, including improved accuracy, efficiency and productivity, and reduced safety risks for employees. These systems are usually comprised of predefined locations where machines can follow established routes to get items. The Path planning belongs to shortest path problem. It can be solved via various algorithms such as graph theory, dynamic programming, neural network, etc. In this paper, a simple and efficient algorithm to find the path planning with collision-free for non-complex automated storage systems is developed. An enhanced version of A* algorithm is proposed to find the shortest path from a source node to a destination node. Moreover, we proposed two heuristic functions, namely H1 and H2. Finally, we developed a simulation model to evaluate the performance of our proposed scheme. Therefore, different simulations scenarios, in terms of number of robots, types and numbers of obstacles are carried out. Simulation results show the efficiency of the proposed collision-free path planning algorithm.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"301 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":"132691879","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}
{"title":"Conditional Quantization for SHVC Quality Scalability of Depth Maps","authors":"S. Mosbah, D. Sebai, F. Ghorbel","doi":"10.1109/TSP52935.2021.9522646","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522646","url":null,"abstract":"3D-High Efficiency Video Coding, the latest standard for depth maps compression, is adapted to point-to-point applications where the transmission chain consists of one transmitter and receiver. However, a scalable coding is solicited for multipoint applications where the data source is unique, but serves heterogeneous receivers through different transmission supports. The Scalable High Efficiency Video Coding (SHVC), the latest standard for scalable compression of texture images, can provide the scalability asset for depth maps compression. However, this is at the expense of the depth discontinuities quality. In this paper, we propose a quality scalable compression method adapted to the depth maps context. Besides the enhancement layers that ameliorate the base layer quality in SHVC, we use an importance map to conditionally quantize the transform coefficients of the coding units according to the sub_enhancement layers they include. Our experiments show that our approach allows higher Rate-Distortion trade-offs, compared to the unmodified SHVC.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"1 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":"128357591","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}
{"title":"YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images","authors":"Oyku Sahin, S. Ozer","doi":"10.1109/TSP52935.2021.9522653","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522653","url":null,"abstract":"Recent advances in robotics and computer vision fields yield emerging new applications for camera equipped drones. One such application is aerial-based object detection. However, despite the recent advances in the relevant literature, object detection remains as a challenging task in computer vision. Existing object detection algorithms demonstrate even lower performance on drone (or aerial) images since the object detection problem is a more challenging problem in aerial images, when compared to the detection task in ground-taken images. There are many reasons for that including: (i) the lack of large drone datasets with large object variance, (ii) the larger variance in both scale and orientation in drone images, and (iii) the difference in shape and texture features between the ground and the aerial images. In this paper, we introduce an improved YOLO algorithm: YOLODrone for detecting objects in drone images. We evaluate our algorithm on VisDrone2019 dataset and report improved results when compared to YOLOv3 algorithm.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"24 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":"131681732","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}
{"title":"Security vulnerability analysis of OpenHIP and E-HIP protocols","authors":"Adam Gajdošík, P. Kanuch","doi":"10.1109/TSP52935.2021.9522638","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522638","url":null,"abstract":"Internet of Things is made of many common devices, such as televisions, sensors, cars, and many others, which are connected. The greater number of devices, the greater possibility of being attacked by hackers, whose aim is to harm other users. Their reason for such an action may be their own enrichment or just amusement. To prevent that and to protect data, various security protocols with different ways of securing integrity and confidentiality of communication have been created. The aim of this paper is to test two such protocols, OpenHIP and E-HIP (Efficient HIP). Based on the analysis, the most common attacks in the field of IoT were found as well as the ones that affect protocols of network security. In this paper, the choice of possible attacks has been narrowed to three of them, Denial of Service, Man-in-the-middle and Rogue server. Some vulnerabilities were successfully exploited and needed to be fixed.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"161 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948382","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}
{"title":"Interactive Whiteboards in Extended Reality for Advanced Control System Design","authors":"A. Tepljakov","doi":"10.1109/TSP52935.2021.9522616","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522616","url":null,"abstract":"From chalkboards to whiteboards to interactive digital solutions, significant progress has been achieved in the past decades from the perspective of technological advances. Applications of interactive whiteboards are manifold and span across classrooms, business meetings and industrial practices alike. In this paper, we explore the convergence of several technological advances towards as single focal point—user experience with control system design in an extended reality (XR) environment. The main research question is related to understanding the aspects of using an interactive whiteboard in an XR environment with a specific manipulator that is represented by a specialized physical pen that appears to the user in extended reality while being tracked in the real environment. Furthermore, we also provide the description of the proposed testing system involving several software environments and describe the type of control design experiment that is performed. Some experimental results are presented and discussed.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"470 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":"133452125","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}
{"title":"Obesity Level Estimation based on Machine Learning Methods and Artificial Neural Networks","authors":"Yaren Celik, S. Guney, B. Dengiz","doi":"10.1109/TSP52935.2021.9522628","DOIUrl":"https://doi.org/10.1109/TSP52935.2021.9522628","url":null,"abstract":"Obesity is a growing societal and public health problem starting from 1980 that needs more attention. For this reason, new studies are emerging day by day, including those looking for obesity in children, especially the impact factors, and how to predict the emergence of the situation under these factors. In this study, different classification methods were applied for the estimation of obesity levels. Based on the evaluation criteria, the results were compared for different machine learning methods. When the Cubic SVM method was applied by selecting the appropriate features specific to the problem, 97.8% accuracy was obtained.","PeriodicalId":243595,"journal":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","volume":"37 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":"133829898","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}