Telfor Journal Vol.15 No.1 (2023)
Content
Editorial 
Editor-in-Chief:
Prof. Dr Aleksandar Nešković
Data Acquisition for Testing Potential Detection of Flavescence Dorée with a Designed, Affordable Multispectral Camera
M. Barjaktarović, M. Santoni, M. Faralli, M. Bertamini, and L. Bruzzone
- Topic:
- Multimedia
- Abstract
- There is a constant push on agriculture to produce more food and other inputs for different industries. Precision agriculture is essential to meet these demands. The intake of this modern technology is rapidly increasing among large and medium-sized farms. However, small farms still struggle with their adaptation due to the expensive initial costs. A contribution in handling this challenge, this paper presents data gathering for testing an in-house made, cost-effective, multispectral camera to detect Flavescence dorée (FD). FD is a grapevine disease that, in the last few years, has become a major concern for grapevine producers across Europe. As a quarantine disease, mandatory control procedures, such as uprooting infected plants and removing all vineyard if the infection is higher than 20%, lead to an immense economic loss. Therefore, it is critical to detect each diseased plant promptly, thus reducing the expansion of Flavescence dorée. Data from two vineyards near Riva del Garda, Trentino, Italy, was acquired in 2022 using multispectral and hyperspectral cameras. The initial finding showed that there is a possibility to detect Flavescence dorée using Linear discriminant analysis (LDA) with hyperspectral data, obtaining an accuracy of 96.6 %. This result justifies future investigation on the use of multispectral images for Flavescence dorée detection.
- Keywords
- Flavescence dorée detection, Multispectral and Hyperspectral imaging.
- Full Text
- Data Acquisition for Testing Potential Detection of Flavescence Dorée with a Designed, Affordable Multispectral Camera
- Page(s)
- 2-7
- Doi
- 10.5937/telfor2301002B
Adaptive Thresholding for Sparse Image Reconstruction
I. Volaric and V. Sucic
- Topic:
- Signal Processing
- Abstract
- The performance of the class of sparse reconstruction algorithms which is based on the iterative thresholding is highly dependent on a selection of the appropriate threshold value, controlling a trade-off between the algorithm execution time and the solution accuracy. This is why most of the state-of-the-art reconstruction algorithms employ some method of decreasing the threshold value as the solution converges toward the optimal one. To address this problem we propose a data-driven adaptive threshold selection method based on the fast intersection of confidence intervals (FICI) method, with which we have augmented the two-step iterative shrinkage thresholding (TwIST) algorithm. The performance of the proposed algorithm, denoted as the FICI-TwIST algorithm, has been evaluated on a problem of image reconstruction with the missing pixels, exploiting image sparsity in the discrete cosine transformation domain. The obtained results have shown competitive performance in comparison with a number of state-of-the-art sparse reconstruction algorithms, even outperforming them in some scenarios.
- Keywords
- Compressive sensing, Fast intersection of confidence intervals (FICI) method, Image reconstruction, Iterative soft thresholding, Signal sparsity, Sparse reconstruction algorithm.
- Full Text
- Adaptive Thresholding for Sparse Image Reconstruction
- Page(s)
- 8-13
- Doi
- 10.5937/telfor2301008V
Impact of NFV Resources Distribution on Inter-Subnetwork Latency
G. Ilievski and P. Latkoski
- Topic:
- Telecommunications Networks
- Abstract
- 5G networks are already being implemented around the globe. One of the most important enablers of their penetration are the Software Defined Networking (SDN) technologies and the Network Functions Virtualization (NFV) architecture, which allow the needed flexibility of the network and the composing elements. In such circumstances, the Internet-of-Things (IoT), which has been long awaited, is becoming feasible and economically reasonable. This setup has its challenges, especially due to the network expansion toward the edge, where the number of networking elements and service consumers is rapidly rising. The compute resources and the storage have to be brought in the network proximity of the access network, so that the latency of the service is kept under 1ms, which is one of the base 5G requirements. For our research, we have made an experimental setup of a distributed NFV architecture on a multiple geo-location, with a main objective to review the network latency caused by the architectural distribution of the services that are built in it. The results can be used by researchers and network architects to build reliable and cost-effective distributed services with the lowest possible latency, as well as to plan possible disaster recovery scenarios when some physical location is unavailable.
- Keywords
- NFV, SDN, Experimental Model, Distributed NFV, MANO.
- Full Text
- Impact of NFV Resources Distribution on Inter-Subnetwork Latency
- Page(s)
- 14-19
- Doi
- 10.5937/telfor2301014I
Resilient Multipath Routing Protocol to Enable Hazardous event Monitoring with Wireless Sensor Network
B. Á. Üveges, M. Lőrincz, and A. Oláh
- Topic:
- Wireless Sensor Network
- Abstract
- With the growing impact of climate change, the occurrence of hazardous spatial events increases. Wireless sensor networks are suitable to sense, monitor, and report such events in remote or inaccessible locations. Hazardous events are rare compared to the network's lifetime, thus maintaining its consistency must be realized energy efficiently. During the impact, the network must monitor the event with precision, and report the incidence, while mitigating the loss of perishing nodes. To fulfill these requirements, we propose the Self-healing Multipath Routing Protocol that is based on the Heterogeneous Disjoint Multipath Routing Protocol and introduces application-specific extensions to improve network stability, resiliency, and failover. To realize the monitoring of spatially extended hazardous events we introduce an event-based, application-level protocol. To evaluate the routing protocol, we perform simulations utilizing a cellular automaton-based wildfire model as the spatial event and provide measurement results including delivery ratio, consumed energy, and protocol-specific metrics.
- Keywords
- Failover, Hazardous environment, Multipath, Resiliency, Self-healing, Wireless sensor networks.
- Full Text
- Resilient Multipath Routing Protocol to Enable Hazardous event Monitoring with Wireless Sensor Network
- Page(s)
- 20-25
- Doi
- 10.5937/telfor2301020Q
Study of a New Method of Radio-Sensor Identification of Radio-Electronic Devices
K. А. Boikov
- Topic:
- Applied Electronics
- Abstract
- The purpose of this work is to increase the protection of radio-electronic devices from illegal cloning, by studying a new physically unclonable functions (PUF) connected with the own electromagnetic radiation of a radio-electronic device. The work uses experimental research methods to record the electrical component of the electromagnetic field emitted by the product - the signal radio profile (SRP). Correlation analysis methods for product authentication, Pearson's statistical agreement method for identification are used. The practical significance of the work lies in the possibility of using the SRP to identify a group of devices and radio-technical protection of a radio-electronic product from fakes and illegal copies.
- Keywords
- identification, authentication, signal radio profile, Pearson's criterion, radio electronic unit, correlation analysis.
- Full Text
- Study of a New Method of Radio-Sensor Identification of Radio-Electronic Devices
- Page(s)
- 26-31
- Doi
- 10.5937/telfor2301026B
The TELFOR Journal appreciates the support received from the reviewers. The following is the alphabetic list of the reviewers who have submitted one or more reviews for the current volume of the TELFOR Journal.
Marko Barjaktarović, School of Electrical Engineering, University of Belgrade, Serbia; Milana Bojanić, Faculty of Technical Sciences, University of Novi Sad, Serbia; Živko Bojović, Faculty of Technical Sciences, University of Novi Sad, Serbia; Urban Burnik, Univesity of Ljubljana, Faculty of Electrical Engineering, Slovenia; Goran Đorđević, Faculty of Electronic Engineering, University of Niš, Serbia; Dejan Drajić, School of Electrical Engineering, University of Belgrade, Serbia; Radivoje Đurić, School of Electrical Engineering, University of Belgrade, Serbia; Marija Malnar, Faculty of Transport and Traffic Engineering, University of Belgrade, Serbia; Goran Marković, School of Electrical Engineering, University of Belgrade, Serbia; Dejan Milić, Faculty of Electronic Engineering, University of Niš, Serbia; Nenad Jevtić, Faculty of Transport and Traffic Engineering, University of Belgrade, Serbia; Veljko Papić, School of Electrical Engineering, University of Belgrade, Serbia; Milorad Paskaš, School of Information and Communication Technologies, Academy of Technical and Art Applied Studies Belgrade, Serbia; Aleksandra Pavlović, School of Electrical and Computer Engineering, Academy of Technical and Art Applied Studies Belgrade, Serbia; Andreja Samčović, Faculty of Transport and Traffic Engineering, University of Belgrade, Serbia; Tomislav Šekara, School of Electrical Engineering, University of Belgrade, Serbia; Pavle Vuletić, School of Electrical Engineering, University of Belgrade, Serbia; Marija Zajeganović, School of Information and Communication Technologies, Academy of Technical and Art Applied Studies Belgrade, Serbia; Goran Zajić, School of Information and Communication Technologies, Academy of Technical and Art Applied Studies Belgrade, Serbia; Amela Zeković, School of Electrical and Computer Engineering, Academy of Technical and Art Applied Studies Belgrade, Serbia;