{"title":"Periodic attractors in GRN and ANN networks","authors":"Ogorelova Diana, Sadyrbaev Felix","doi":"10.1109/ELECS55825.2022.00036","DOIUrl":"https://doi.org/10.1109/ELECS55825.2022.00036","url":null,"abstract":"We provide the conditions for the existence of a periodic solution in two-dimensional systems of ordinary differential equations, which arise in the theory of genetic and artificial neural networks. The proof is based on Poincare-Andronov-Hopf bifurcation. Multidimensional attractors can be constructed using the two-dimensional ones. Illustrations and examples are provided.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128580664","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}
Gilbert Bop, Djamal Abdoul Nasser Seck, A. Dioum, M. Drame, Fabé Idrissa Barro, Bassirou Lo
{"title":"Performance analysis of a solar tracker driven by a microcontroller-embedded computer program","authors":"Gilbert Bop, Djamal Abdoul Nasser Seck, A. Dioum, M. Drame, Fabé Idrissa Barro, Bassirou Lo","doi":"10.1109/elecs55825.2022.00022","DOIUrl":"https://doi.org/10.1109/elecs55825.2022.00022","url":null,"abstract":"The objective of this paper is to analyze the performance of a solar tracker, which is a system that rotates a solar photovoltaic panel to position it in front of the sun to optimize its performance. For the design of the system, we use a low-power solar panel, a microcontroller, a DC signal motor, two light sensors, and two resistors. We consider two configurations of the system: a permanently moving solar panel to always face the sun and a periodically rotating solar panel to position itself facing the sun at times when its intensity should be maximum. A computer program in C language embedded in the microcontroller allows us to control the permanent or periodic rotation of the solar panel and thus ensures the operation of our mobile solar panel system. We analyze and compare the power of the solar panel in these two configurations to determine which is more advantageous. We find that the permanently moving solar panel performs better than the periodically rotating moving solar panel. We also find that the power of the mobile solar panel in both configurations is higher than that of the fixed solar panel. This last result is explained by the fact that the power of a solar panel depends on its position relative to the incident light flux.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130657194","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":"Preliminary study on the shape of speech data manifold in linear signal subspace","authors":"X. Zhuang, N. Mastorakis","doi":"10.1109/ELECS55825.2022.00023","DOIUrl":"https://doi.org/10.1109/ELECS55825.2022.00023","url":null,"abstract":"The data vectors of speech pronunciation signals are projected into the signal subspace. This low-dimensional signal subspace is estimated by the Principal Component Analysis. The geometric shape of the signal manifold in the signal subspace is studied. The correspondence between the change of manifold shape and the change of pronunciation is revealed by experiments, which has potential application in speech signal segmentation.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130565527","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":"Cellular Offloading of eMBB and URLLC Services in Multiple UAV-aided Communication Networks","authors":"Y. Prathyusha, T. Sheu","doi":"10.1109/ELECS55825.2022.00027","DOIUrl":"https://doi.org/10.1109/ELECS55825.2022.00027","url":null,"abstract":"With the emergence of wireless cellular technologies and the dense deployment of cellular infrastructure, incorporating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and beyond networks is a promising solution to support a wide range of diversified applications. The 5G wireless systems are intended to support two promising critical services: enhanced mobile broadband (eMBB) and ultra-reliable and low latency communications (URLLC). In this paper, we studied the resource allocation problem of eMBB and URLLC services with the aim of maximizing throughput under non-orthogonal multiple access (NOMA) with the aid of multiple UAVs. Initially, for the deployment of UAVs, we adopted K-means based clustering algorithm for user partitioning. Then, we proposed a simple low complex algorithm for resource allocation. The significance of the proposed methodology over baseline approaches is evaluated using numerical simulations in terms of system performance indicators.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"185 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114005375","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":"Safety and Observibility of Distributed Broadcast Algorithms","authors":"M. Karaata, Aysha Dabees","doi":"10.1109/ELECS55825.2022.00010","DOIUrl":"https://doi.org/10.1109/ELECS55825.2022.00010","url":null,"abstract":"In this paper, we first show the condition under which the transient faults are observable and the safety requirements are satisfied for a broadcast algorithm. Then we propose the first safe fault-containing and self-healing broadcast algorithm for locally observable faults in tree networks. A locally observable transient fault refers to a transient fault that perturbs the state of a process such that a faulty state of a process could be distinguished from a non-faulty state by all neighbours of the faulty process, and locally non-observable transient faults, otherwise. Our proposed algorithm contains and self-heals an unlimited number of transient faults in at most O(3) rounds provided that any two faulty processes are separated by two non-faulty processes.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114823791","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":"WiFi and BLE Fingerprinting for Smartphone Proximity Detection","authors":"T. Javornik, Stefan Kalabakov, A. Švigelj","doi":"10.1109/ELECS55825.2022.00029","DOIUrl":"https://doi.org/10.1109/ELECS55825.2022.00029","url":null,"abstract":"Wireless devices such as smartphones, wireless bracelets or smartwatches are now often used by a single person. They can therefore be used to model human contact, proximity to each other, or social networking. In light of events such as the recent pandemic interactions or proximity between people have become increasingly important. In this context, this paper explores the limitations of a machine learning-based approach that detects the proximity of two devices (up to about two metres) based on WiFi and BLE (Bluetooth Low Energy) fingerprints of their radio environments. Specifically, we compare the use of a rudimentary set of two features and an extended, more complex set of features, exploring the use of separate classifiers that treat WiFi and BLE features separately. In addition, we investigate whether using only one of the two communication technologies for detection could lead to better results and the importance of radio propagation expertise in feature extraction. We found that using a more complex set of features that can be subjected to further feature selection procedures can provide a performance benefit of about 4.6 percentage points. In terms of the communication technologies used, our results also show that using BLE alone always leads to significantly worse results than using WiFi alone or WiFi and BLE together. The evaluation was carried out in three different radio environments, namely indoors in companies, outdoors on the street and in the staircase of residential building with many apartments.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115566592","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":"Low-Voltage Improved Accuracy CMOS VGA Circuit","authors":"C. Popa","doi":"10.1109/ELECS55825.2022.00021","DOIUrl":"https://doi.org/10.1109/ELECS55825.2022.00021","url":null,"abstract":"The paper presents a 100dB-linear VGA circuit, designed for a low-voltage operation, having a multitude of applications, such as synthesizers, amplitude modulation and audio level compression. The original design method proposes the approximation of the exponential function by implementing a new fourth-order approximation function that allows to obtain high accuracy of the circuit and a wide decibel linear range (100dB), considering a deviation from the exponential function equal with ± 1dB. The proposed variable gain amplifier presents the advantage of current-mode operation that increases the circuit frequency response. An additional increasing of the exponential function accuracy represents a consequence of the independence of the output signal on technological-caused errors and also on temperature. The circuit is designed for an implementation in 0.18μm CMOS technology on a chip area of approximately 12μm2, being characterized by a low-voltage low-power operation (a supply voltage of 0.9V and a maximal current consumption smaller than 1.9μA).","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125410360","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}
M. Zolotukhin, Di Zhang, Parsa Miraghaie, Timo Hämäläinen, Wang Ke, Marja Dunderfelt
{"title":"Attacks against Machine Learning Models in 5G Networks","authors":"M. Zolotukhin, Di Zhang, Parsa Miraghaie, Timo Hämäläinen, Wang Ke, Marja Dunderfelt","doi":"10.1109/ELECS55825.2022.00026","DOIUrl":"https://doi.org/10.1109/ELECS55825.2022.00026","url":null,"abstract":"Artificial intelligence and machine learning are revolutionising almost every industry with a seemingly endless list of applications. This list also includes mobile networking for which employing machine learning algorithms can improve efficiency, latency, and reliability of services and applications. For this reason, functionality of future 5G networks is expected to depend on accurate and timely performance of its artificial intelligence components, and disturbance in the functionality of these components may have negative impact on the entire network. This study focuses on analysing adversarial example generation attacks against machine learning based frameworks that may be present in the next generation mobile networks. In particular, we study transferability of adversarial example attacks to the 5G domain and evaluate their negative impact on the network performance in several realistic use case scenarios.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125436215","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}
Soltana Achour, Amina Guidoum, M. C. El Mezouar, N. Taleb
{"title":"Change detection by masking reversible areas","authors":"Soltana Achour, Amina Guidoum, M. C. El Mezouar, N. Taleb","doi":"10.1109/ELECS55825.2022.00025","DOIUrl":"https://doi.org/10.1109/ELECS55825.2022.00025","url":null,"abstract":"Many issues addressed today in remote sensing based on data from multi-temporal satellite images are related to change detection, for the implementation techniques having aims at the location, characterization and quantification changes in the state of an object in same scene area which have evolved between different instants. Unfortunately, most of these techniques confront the problem of persistent shadows and cloud cover, even after selecting the best images. Knowing, that clouds and shadow are considered as false alarms (no real change). However, in this paper, we propose to detect the changes by eliminating the false alarms (shadow and clouds) from the areas covered by the shadows of the objects and the cloud cover. In order, to improve and obtain almost real change results. For this we used the combination of two methods: the change detection method, clouds and shadows detection method, to eliminate their information detected as change. The obtained results show the efficiency of the proposed method.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122282248","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}