2020. 4th Issue
Volume XII, Number 4
Full issue (8,6 MB)
MESSAGE FROM THE EDITOR-IN-CHIEF
Booming usage of Infocommunications technologies brought to you by 2020
WHILE the year 2020 was sorrowful in many ways, some of its challenges has been successfully overcome by humanity. Most of these successes have depended on Infocommunications technologies: these allowed us to keep the human interaction flowing during lock-downs. The most visible change was literally the broad usage of multimedia communications. Our communication spaces went ”virtual”: from schoolrooms through company meetings to massconferences; even the corridor- and coffee-break discussions got some alternatives.
PAPERS FROM OPEN CALL
Noise reduction for digital communications – A modified Costas loop
An efficient way of noise reduction has been presented: A modified Costas loop called as Masterpiece. The basic version of the Costas loop has been developed for SSB SC demodulation, but the same circuit can be applied for QAM demodulation as well. Noise sensitivity of the basic version has been decreased. One trick is the transformation of the real channel input into complex signal, the other one is the application of our folding algorithm. The result is that the Masterpiece provides a 4QAM symbol error rate (SER) of 6*10-4 for input signal to noise ratio (SNR) of -1 dB. In this paper, an improved version of the original Masterpiece is introduced. The complex channel input signal is normalized, and rotational average is applied. The 4QAM result is SER of 3*10-4 for SNR of -1 dB. At SNR of 0 dB, the improved version produces 100 times better SER than that the original Costas loop does.
Béla Benedek Szakács and Tamás Mészáros
Hybrid Distance-based, CNN and Bi-LSTM System for Dictionary Expansion
Dictionaries like Wordnet can help in a variety of Natural Language Processing applications by providing additional morphological data. They can be used in Digital Humanities research, building knowledge graphs and other applications. Creating dictionaries from large corpora of texts written in a natural language is a task that has not been a primary focus of research, as other tasks have dominated the field (such as chat-bots), but it can be a very useful tool in analysing texts. Even in the case of contemporary texts, categorizing the words according to their dictionary entry is a complex task, and for less conventional texts (in old or less researched languages) it is even harder to solve this problem automatically. Our task was to create a software that helps in expanding a dictionary containing word forms and tagging unprocessed text. We used a manually created corpus for training and testing the model. We created a combination of Bidirectional Long-Short Term Memory networks, convolutional networks and a distancebased solution that outperformed other existing solutions. While manual post-processing for the tagged text is still needed, it significantly reduces the amount of it.
David Haja, Zoltan Richard Turanyi and Laszlo Toka
Location, Proximity, Affinity – The key factors in FaaS
The Function-as-a-Service paradigm emerged not only as a pricing technique, but also as a programming model promising to simplify developing to the cloud. Interestingly, while placing functions across hosts under the service platform is believed to be flexible, currently the available platforms pay little attention to co-locate connected functions, or data with the respective processing function in order to improve performance. Even though the local function invocation and data access might be an order of magnitude faster than their remote intra-cloud counterparts. In this paper, we therefore propose a Function-asa- Service platform design that reaps the performance benefits of co-location. We build the platform on WebAssembly, a secure and flexible tool for efficient local function invocations, and on a distributed in-memory database, which allows arbitrary data placement. On top we advocate smart placement strategies for function executions and data, decoupled from the functions. Hence we envision good horizontal scaling of functions while keeping the experienced processing latency to that of a single machine case.
Dániel Kozma and Pál Varga
Supporting Digital Supply Chains by IoT Frameworks: Collaboration, Control, Combination
The purpose of this paper is to introduce a technology-oriented SCM (Supply Chain Management) development methodology, which can be used in the design of IoT (Internet of Things) frameworks especially characterized by supply chain processes. In order to meet DSC (Digital Supply Chain) expectations, two areas are examined in detail during the literature review. Firstly, the current SCM models are studied. Secondly, Industry 4.0 requirements had to be surveyed. As a consequence, challenges and gaps are identified for which we seek the solution during our research. Based on the results, it can be stated that digitization has definitely required an improved technological solution that IoT frameworks can provide. The result is a technology-driven, IoT-based SCM development methodology that serves as a basis for the design of such platforms, which will manage supply chains. To prove the feasibility of the proposed development methodology, the Arrowhead industrial IoT framework is used for validation.
CALL FOR PAPERS
ONDM 2021 / 25th International Conference on Optical Network Design and Modelling
ONDM 2021, Gothenburg, Sweden
SSW11 / 11th Speech Synthesis Workshop
SSW 2021, Gárdony, Hungary
CNSM 2021 / 17th International Conference on Network and Service Management
CNSM 2021, Izmir, Turkey
GLOBECOM 2021 / IEEE Global Communications Conference
IEEE GLOBECOM, Madrid, Spain
2020. 3rd Issue
Volume XII, Number 3
Full issue (7,2 MB)
MESSAGE FROM THE EDITOR-IN-CHIEF
The wide scope of Infocommunications Journal is presented in the current, 2020 autumn issue. Unlike the previous special issues this year, readers with wide range of interest find articles in various topics: from signal processing through RFID anti-collision method comparisons, and about an application for educating children on ear protection. As 5G keeps being the hot topic in applied Infocommunications, our journal provides room for disseminating the latest results in this area, repeatedly.
PAPERS FROM OPEN CALL
Andrei A. Kalshchikov, Student Member IEEE, Vitaly V. Shtykov and Sergey M. Smolskiy, Member IEEE
The Processing Algorithm for Wideband Signals Propagating in Media with Frequency Dispersion
The new processing algorithm for wideband signals, which are propagating in frequency dispersion media, is developed in the context of the ground penetrating radar technology. The mathematical substantiation of offered method is presented on the base of linear functional spaces. The method is described for calculation acceleration on the base of the recursive approach. Results of numerical modeling of this method are presented for electromagnetic waves propagating in frequency dispersion media at utilization of chirp pulse signals. The Debye model is used as the model of electrical medium properties. The frequency dispersion of losses in the medium is taken into consideration at modeling. Results of operation modeling of the ground penetrating radar are described. Results of this paper will be useful for the ground penetrating radar technology and the ultrasonic flaw detection.
Chaofu Jing, Zhongqiang Luo, Yan Chen, and Xingzhong Xiong
Blind anti-collision methods for RFID system: a comparative analysis
Radio Frequency Identification (RFID) is one of the critical technologies of the Internet of Things (IoT). With the rapid development of IoT and the extensive use of RFID in our life, the step of RFID development should be faster. However, the tags in an RFID system are more and more utilized, both of them communicate in the same channel. The signal the reader received is mixed, and the reader cannot get the correct message the tags send directly. This phenomenon is often called a collision, which is the main obstacle to the development of the RFID system. Traditionally, the algorithm to solve the collision problem is called the anti-collision algorithm, the widely used anti-collision algorithm is based on Time Division Multiple Access (TDMA) like ALOHA-based and Binary search-based anti-collision algorithm. The principle of the TDMA-based anti-collision algorithm is to narrow the response of tags to one in each query time. These avoidance anti-collision algorithms performance poor when the number of tags is huge, thus, some researchers proposed the Blind Source Separation (BSS)-based anti-collision algorithm. The blind anti-collision algorithms perform better than the TDMA-based algorithms; it is meaningful to do some more research about this filed. This paper uses several BSS algorithms like FastICA, PowerICA, ICA_p, and SNR_MAX to separate the mixed signals in the RFID system and compare the performance of them. Simulation results and analysis demonstrate that the ICA_p algorithm has the best comprehensive performance among the mentioned algorithms. The FastICA algorithm is very unstable, and has a lower separation success rate, and the SNR_MAX algorithm has the worst performance among the algorithms applied in the RFID system. Some advice for future work will be put up in the end.
Dániel Szántó, Attila Zoltán Jenei, Miklós Gábriel Tulics and Klára Vicsi
Developing a Noise Awareness Rising Web Application within the “Protect your Ears” Project
Noise from our environment is causing evergreater problems such as hearing loss among the young. In many cases, children may be exposed to harmful noise even in the most common places such as schools and events. For this reason, we developed a web application in the frame the “Protect your Ears” project that aims the teaching of noise awareness. Playing with this web application helps children to be more aware in protecting their hearing. The web application was subjected to a cohort study where a test and control group was separated at an elementary school. The test group was able to use the web application for two weeks during the teaching sessions, while the control group could not. For objective measurement, the pedagogue used questionnaires before and after the examination. Statistical analyses were performed on the values obtained from the questionnaires. At the beginning of the study, we showed that the control and test groups were not heterogeneous at 5% significance level using the Mann Whitney U test. As a result, there was a significant difference between the preand post-condition for the test group using the Wilcoxon test at the 5% significance level compering to a control group. From this results, we can conclude that playing with the web application the children in the test group became more aware of the noise in their surrounding and mastered preventive behavior.
Detection of 2x2 MIMO signals
In this paper, we investigate synchronization and equalization of 2 x 2 MIMO signals. We make a step further than that is described in our patent. In the patent, 3 PLLs and a four-channel adaptive filter was needed. Here we decrease the number of PLLs to two and use an adaptive filter of only four channels. In addition to that, we shortly introduce the filter method and the FFT method as well, for synchronization. False detection cancellation is also mentioned. The so-called 1-bit technique has been compared to our method. After briefly introducing the ideas, detailed Matlab or AWR analyses follow. Input data are real measurements, so the analyses serve also as experimental verifications. We take a glimpse on higher order MIMO and higher order modulations as well.
Gábor Soós, Dániel Ficzere, Tamás Seres, Sándor Veress and István Németh
Business opportunities and evaluation of non-public 5G cellular networks – a survey
The family of cellular mobile telecommunications standards – including 5G – is mostly defined by the 3GPP standardizing organization. While these are well known in are unfamiliar with the concepts and the content of these documents. It is essential to define and designate how 5G is different from existing wired and wireless technologies, what are the main business benefits, and what are the key potential areas according to the new technology achievements. In our work, we present some fundamental aspects of the 5G business potential, where the key motives lay regarding the Industry 4.0 revolution and the innovation of 5G industrial architectures, including vendors, industrial players, and network operators.
Botond Tamás Csathó, Bálint Péter Horváth and Péter Horváth
Modeling the near-field of extremely large aperture arrays in massive MIMO systems
Massive multiple-input multiple-output (MIMO) is a key technology in modern cellular wireless communication systems to attain a very high system throughput in a dynamic multi-user environment. Massive MIMO relies on deploying base stations equipped with a large number of antenna elements. One possible way to deploy base stations equipped with hundreds or thousands of antennas is creating extremely large aperture arrays. In this paper, we investigate channel modeling aspects of massive MIMO systems with large aperture arrays, in which many users are located in the near-field of the aperture. Oneand two-dimensional antenna geometries, different propagation models, and antenna element patterns are compared in terms of inter-user correlation, condition number of the multi-user channel matrix, and spectral efficiency to identify key design parameters and essential modeling assumptions. As our analysis reveals by choosing spectral-efficiency as a design objective, the size of the aperture is the critical design parameter.
CALL FOR PAPERS
DRCN 2021 / 17th International Conference on Design of Reliable Communication Networks
IEEE ComSoc, Milan, Italy
WFIoT2021 / 7th IEEE World Forum on the Internet of Things
IEEE World Forum, New Orleans, Louisiana, USA