Napredak tehnologije izrade senzora i pametnih uređaja sa ugrađenim senzorima, omogućili su razvoj koncepta bežičnih senzorskih mreža, kao i interneta stvari, čiju posebnu formu predstavljaju Mobile Crowd-Sensing (MCS) sistemi. Realna primena ovih sistema kroz prikupljanje velike količine mernih podataka za potrebe donošenje odluka i automatizaciju procesa uz uštedu novca i resursa omogućava poboljšanje kvaliteta života ljudi, lakše i ekonomski isplativije nadgledanje, nadzor i kontrolu pojava u okruženju. Ovaj pregledni rad daje opis MCS koncepta, uz poseban osvrt na tehnike lokalizacije, i uporednu analizu MCS u odnosu na klasične WSN sisteme.
Presented study introduces the software implementation of the Georeferenced Information System of power grid infrastructure in the vicinity of State Road IB 34 in the Republic of Serbia. The exact locations of power substations and traces of HV overhead lines are used in the form of Geospatial data (GeoJSON), in order to determine the optimal power supply of road infrastructure and to avoid interference with the HV power grid. Appropriate georeferenced and technical data can greatly improve the quality and reliability of newly planned low-voltage power installations needed for safe public transport. This will give rise to more economical and timesaving supervision of the state road IB 34 power installation system.
Usage of electrical energy obtained from the renewable sources are rapidly increasing. Distributed solar systems will be widely used. The paper propose solution for monitoring and management of distributed Photo Voltaic (PV) systems from the integrated center. The main parts of the system are cloud infrastructure at the Data Center and Internet of Things (IoT) devices at distributed sites. Also, networks that are used for communication between main parts are important piece of the proposed solution.
The goal of this paper is to compare the file system performance of physical operating system and Docker as container-based virtualization using its mechanism for persisting data with Volumes and Bind mounts. The importance of virtualization and its popularity with container-based virtualization is mentioned with an emphasis on OS-type virtualization. In addition, this article contains a detailed description of the Dockers mechanism for persistent data, its operating mode and the difference between Volumes and Bind mounts. The main purpose of this paper is the comparison of Docker Volumes and Bind Mounts file system performance. Thus, we have selected FileBench, one of the best open-source benchmarks for testing file system capabilities.
Security landscape in 5G networks differs from the previous generations of wireless networks, mainly due to the emergence of new applications and implemented technologies that require new security concept in order to provide efficient and secure connectivity. Thus, 5G security architecture has been built using security-by-design approach which takes into account basic challenges and risks. While such architecture is evidently robust with a number of advanced security measures and mechanisms, increasing diversity of connected devices, services and networking technologies means new and more complex security threats and vulnerabilities Therefore, this paper aims at identifying gaps and potential shortcomings in the existing 5G security framework. On that basis, recommendations for addressing these issues are specified so that secure and trustworthy implementation and operation of 5G networks would be ensured.
Hydrogen is used nowadays in many industrial applications all over the world because of its flexibility and efficiency. Hydrogen fuel represents a clean energy source and can be the most suitable alternative for gasoline and natural gas since when it burns, there are no emissions besides water vapor. Nowadays, the demand for hydrogen sensors is continuously increasing, especially in fields such as fuel cell electric vehicles or electric transformers. Hydrogen has been currently acknowledged as an element of energy storage, having the capability of reducing several obstacles encountered in fossil fuels, like air pollution, global warming, etc. These requirements claim to develop a new sensor technology that presents requirements that can be easily integrated into multiple industrial applications. The introduction of highly sensitive hydrogen sensors as a consumer fuel has caused huge concerns over its safety, corresponding to increased interest in hydrogen sensors and leak detection. This paper aims to describe the concept of a hydrogen sensor with a micro-heater that is fabricated using MEMS technology for a hydrogen-based society. The main features of the hydrogen sensor include a micro-heater, thermal isolation, and a temperature sensor which will be realized in a reliable and cost-effective way to achieve high-yield rate and low-power consumption.
Typically, smart home solutions integrate devices produced by different manufacturers. Some of these devices can be controlled using local IoT networking technologies, while the others use HTTP APIs. In this paper, we integrate the smart lock cloud platform into an existing smart home system. The integration is performed on cloud-to-cloud basis, and requires the creation of adapters that serve as translators between the smart home system API and the exposed API of the external platform.
The paper is presenting results of experimental and theoretical studies of short and ultrashort regimes of high-power impulse magnetron sputtering. In experimental part it was demonstrated that the decreasing of the discharge voltage duration leads to a significant increase of the average ion current density to the substrate for the fixed mean discharge power. The use of a spatially averaged magnetron discharge model confirms this experimental trend and provides a theoretical explanation for it.
Multiple-PRF coherent interleaved pulse burst (MPCIPB) is a waveform which enables a solid-state moving target detector radar to mitigate range eclipsing and Doppler blind zone issues simultaneously. This paper recapitulates the previous work on the multi-objective optimization problem of MPCIPB design. Three issues in the previous work are identified and addressed, ultimately leading to a conclusion that the high-quality Pareto optimal set approximations can be found in significantly shorter time than it was believed earlier.
The main characteristic of devices in a Wireless Sensor Network (WSN) concerns the limited resources. So, the energy and security aspects represent important fields of study due that they extremely affect the WSN behavior. With regard to the limited resource of nodes, the traditional security mechanisms are not the most suitable so new approaches have to be analysed in order to take into account this specific node characteristic. In this paper, a MAC layer energy drain attack is analysed and the performance evaluation are evaluated in a network composed of four sensor nodes, a gateway and a server in a LMAC and BMAC protocol in terms of average energy consumed for each node inside the considered WSN.
The paper presents an early prototype of an online tool named SpeeD, which is aimed at conversion of a recorded speech into the corresponding conceptual database model. SpeeD is the first tool that provides such functionality. The tool is currently able to process English speech and generate the model represented by the corresponding UML class diagram.
Cryptocurrencies have established a firm position in the economic world in the past decade, with thousands of distinctive currencies available for electronic payments. The majority of cryptocurrencies, however, experience extremely volatile price perturbations, drastically affecting investors and traders. To address this problem, this paper proposes long short-term memory approach tuned by salp swarm metaheuristics. This hybrid model has been validated on a benchmark financial dataset, and the outcomes have been compared to other cutting-edge methods. The results suggest that the proposed method outperformed the competitors, showing significant potential in time-series prediction tasks.
With the growing impact of climate change, the occurrence of hazardous spatial events increase. 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 it’s consistency must be realized energy efficiently. During the impact the network must monitor the event with an appropriate precision, and report the occurrence to the user, while mitigating the loss of destroyed nodes by the very same event.To fulfill these requirements, we propose the Self-healing Multipath Routing Protocol that is based on the Heterogeneous Disjoint Multipath Routing Protocol and introduces several application-specific extensions to improve network stability, resiliency and failover. To realize the monitoring of spatially extended hazardous events we also introduce an event-based, application-level protocol.To evaluate the proposed routing protocol, we perform simulations in the OMNET++/Castalia framework, utilizing a cellular automation based wildfire model as the spatial event and provide measurement results including delivery ratio, consumed energy and protocol specific metrics.
Secure Multiparty Computation enables secure processing of the data from multiple users without ever exposing the data or the computation code of one user to the other parties or computation hardware provider. Such an approach enables new applications and better data computation results through secure and private data sharing and making richer datasets for the analysis. This paper explains how Secure Multiparty Computation is made possible by recent development in the computer processor industry and the popularization of the Trusted Execution Environment functionality. Four problems that need to be addressed are highlighted and solutions for two of them are presented. Design for one of the key components of a Confidential Computing System for Artificial Intelligence is provided. It is the RESTful web application implemented in the Python programming language using Flask framework, which is running on a secure virtual machine.
This paper presents a software system integration to augmented reality smart glasses. The software system is created using mechanisms and insights from deep learning, computer vision and neural networks. An object recognition model is integrated into the software system, which is the basis for the further creation of an intelligent system for discovering pre-selected and prepared information about the objects around us.
This paper describes the pilot implementation of blockchain technology (Ethereum) for smart grid data management in the IT environment of electrical distribution company Elektro Celje. The work focuses on the decentralised notation of smart meter data to enable secure access and prevent data misuse. The procedure for setting up the pilot project and the operational functions as well as the results of the performance tests are presented and discussed.
U sistemima zasnovanim na komunikaciji čija je kompleksnost na visokom nivou izuzetno je komplikovano pro-naći uzrok problema u samoj komunikaciji. Postojanje određenih alata umnogome olakšava pronalazak i otklanjanje problema, te alati sami po sebi zauzimaju bitno mesto u procesu analize i pronalaska problema. Rad opisuje jedno rešenje alata za vizualizaciju mrežnog raspore divača TTEternet tehnologije koji se koristi u okviru komponente operativnog sistema zasnovanog na AUTOSAR standardu. Alat omogućava grafički prikaz vremena slanja svih eternet paketa u sistemu kao i ulazne i izlazne portove samog Eternet sviča kroz koje se šalju i primaju eternet paketi. Na osnovu istraživanja o samoj TTEternet tehnologiji rodila se ideja o vizualizacija rasporeda slanja paketa kao pomoćni alat koji bi olakašao pronalaženje problema na samom početku razvoja programske podrške za automobil i na taj način štedelo vreme od početnog do gotovog proizvoda. Testiranjem alata pokazalo se da je veliki broj slučajeva sa problemima koji se susreću, a vezani su za komunikaciju, pokriven alatom i na uspešana način prepoznati.
Cloud computing is a fast-growing type of computing service that enables businesses to expand their storage and computing needs. To provide the service, a dedicated cloud computing system is required, whose design should ensure that it can meet the needs of its clients efficiently and effectively. While highly available and scalable, the architecture of a cloud computing system should also avoid relying on expensive hardware for its operation. This paper will first cover the available services that Amazon Web Services (AWS) provides, which is considered a leader in the cloud computing market. The emergence of new technological advancements has enabled a seamless synthesis of cloud computing and blockchain technology, known as blockchain-as-a-service. The connection of these two technologies aims to increase trust, security, transparency, and traceability of shared data. This synthesis is expected to significantly increase the value generated by these two platforms. The main aim of this paper is to explain BaaS in general, particularly its characteristics and usage. This paper will focus on one of the leading cloud providers, AWS.
Artificial Intelligence (AI) and Blockchain technologies are increasingly used for various industrial applications. AI offers self-learning capabilities that can be used to automate certain industrial applications. On the other hand, blockchain provides decentralized system capabilities to ensure transaction security, transparency, and auditability. The aerospace industry is struggling with several challenges that the above-mentioned technologies can help resolve. This paper adopts an exploratory literature review to evaluate potential use cases for AI and Blockchain in aerospace engineering and management. This research shows that blockchain technologies can help with records management especially concerning aircraft maintenance, repair, and overhaul operations. In addition, AI provides significant capabilities in predictive fault detection, guidance systems, and optimization of flight paths. Nevertheless, most of these capabilities still require experimental validation and compliance with regulatory requirements.
The main objective of this paper is to find the optimal guest file system for hypervisor-based virtualization with the Oracle’s VirtualBox virtual machines. For this research, we decided to measure file system performances, in equal conditions and apply the same test method. For testing purposes, we used Filebench software, which guarantees equality and independence of the hardware and operating system characteristics. CentOS 7.9 with the latest updates is used as the guest operating system, while VirtualBox 6.1 is used as the hypervisor. Performances are compared for the cases of one and two virtual machines running simultaneously. Expected behaviors are analyzed with Filebench, while the results are used to verify the assumption.
