We use tools and techniques specific to the field of complex networks analysis for the identification and extraction of key parameters which define ”good” patterns and practices for designing public transportation networks. Using network motifs we analyze a set of 18 cities using public data sets regarding the topology of network and discuss each of the identified motifs using the concepts and tools of urban planning.

Object lifetimes are a common source of bugs in C++ that can cause crashes, unexpected behavior, or even security vulnerabilities. Herb Sutter, the chair of the C++ standard committee proposed a flow-sensitive analysis to catch lifetime errors statically. Sadly, this analysis is prone to false positives unless the author follows some specific guidelines. We developed mitigations to eliminate some classes of false positives to make it easier to write conforming code. The first mitigation fixes a common false positive from a frequently used coding pattern by introducing local path-sensitivity. The second one is a filter based on reaching definitions and dominance algorithms to remove reports that might be the result of analyzing infeasible paths. We tested the effectiveness of the methods on the open source Google Fuchsia project.

The paper deals with the implementation of systems for remote data access in cooperation with the international laboratory CERN in Geneva. The first part discusses extensions of the DARMA information system for archive management. The main goal of this paper is to design and enhance the system with new functionalities and solve known shortcomings, and thus qualitatively increase the potential of the DARMA system in the context of the ALICE DCS (Detector Control System). The final part of the paper deals with the analysis of historical data and the design of a system for the anomaly and failure detection in the infrastructure of high voltage channels within the TRD detector (Transition Radiation Detector).

This article addresses the issue of optical communication with Free Space Optics (FSO) and its use. The article deals with the design and construction of a monitoring system designed for the collection and processing of data characterizing the nature of conditions along the transmission path of a hybrid FSO system with a radio communication link. Due to the vulnerability of the FSO transmission channel to weather conditions, it is necessary to predict the strength of the received signal and switch to a backup line based on machine learning using decision trees.

In this paper, will be presented actual research of the intelligent channel allocation. The intelligent channel allocation is based on combination of fuzzy logic method and game theory attributes to increase quality of link in network. The channel allocations will become an important phenomenon in different types of networks such as 5G technology, wireless networks (IEEE 802.11xx), Z-Wave, LoRa, 3G, 4G, etc. In the near future, new network technologies, Internet of Things (IoT) and Smart Cities will need to have intelligent channel allocation to prevent interference on the channels used for data transfer. These networks along with IoT are considered as promising technology, that interconnects different types of networks into one fully functional network. The aim of this paper is to present the concept of a methods for channel allocation in wireless networks, where channels work as communication medium based on IEEE 802.11xx technology. The simulations prove, that proposed method is able to provide lower interference, improve data rates and increase quality of links.

The traditional and estimated billing system of electric energy consumed in most part of Sub-Saharan Africa has become a lingering issue to the electricity consumers. This has therefore necessitated the advent of smart electric meters. In this work, we propose a smart electric meter reader that provides an efficient and economically viable technique for measuring the consumption of electricity. This proposed method tends to solve many issues of the traditional reading system, such as reading efficiency, accuracy, and the elimination of human interface. Our proposed method, consisting of a GSM module, is used to wirelessly communicate the smart meter readings to the electricity provider and the consumer in form of a text message. The results obtained from the evaluation of this work show that our proposed method has improved the accuracy of the meter reading process for proper accountability.

Mobile broadband networks can provide a reliable and flexible communication channel. User requirements can come with different levels of specificity. The widespread application of unmanned aerial vehicles (UAVs, commonly known as a drones) introduces possibilities of use in modern upcoming mobile networks; for example, 5G and 6G, to achieve and support various use cases from low latency to high bandwidth scenarios. For reliable command and control communication, mobile networks can provide flexible differentiated QoS matching the needed reliability, latency and throughput. Many end user equipment connected to the same base station can overload the system and may cause the network to be unavailable. Also, in case the fixed infrastructure is partially decommissioned, destroyed or the network is congested and the system capacity is not sufficient, it is appropriate to use autonomous drones as mobile base stations to ensure well signal coverage of the affected area. The aim of this work is to overview of optimization algorithm developed to provide the best drones’ locations. We compared the techniques of minimization of the number of drones needed to cover users located in a given area with respect to the time required to calculate the optimal positions of the drones.

The paper proposes a new blockchain-based network architecture for 5G network functions virtualization. By using a combination of AI and blockchain technologies, proposed system provides flexible network deployment, interoperability between different mobile network operators and effective management of radio resources. Experimental testbed of the proposed system has been implemented by using cloud and edge computing infrastructure and software defined radio peripheral NI USRP 2900. Simulation results of the network slicing and radio resource management shows that proposed s