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This article deals with research of laboratory testing by active and passive UHF tags and therefore mutual coexistence of active and passive RFID technology, which is a part of automatic identification and data capture. In this article we would like to describe an identification of transport unit based on passive technology and also by active technology. We would like to specify, how this technologies can work together and in which application focuses on postal and logistics. All results are verified by measurement in our AIDC laboratory, which is located at the University of Žilina. Our research contains different types of measurements in order to point out the possible influence of these two technologies. The results of our research bring the new point of view and indicate the ways using of UHF RFID technology in postal and logistics applications. At the end of this article is characterized the utilization of the RFID technology in postal logistics chain by using both passive and active technologies.

The emergence of the Internet of Things (IoT) concept as a new direction of technological development raises new problems such as valid and timely identification of such devices, security vulnerabilities that can be exploited for malicious activities, and management of such devices. The communication of IoT devices generates traffic that has specific features and differences with respect to conventional devices. This research seeks to analyze the possibilities of applying such features for classifying devices, regardless of their functionality or purpose. This kind of classification is necessary for a dynamic and heterogeneous environment, such as a smart home where the number and types of devices grow daily. This research uses a total of 41 IoT devices. The logistic regression method enhanced by the concept of supervised machine learning (logitboost) was used for developing a classification model. Multiclass classification model was developed using 13 network traffic features generated by IoT devices. Research has shown that it is possible to classify devices into four previously defined classes with high performances and accuracy (99.79%) based on the traffic flow features of such devices. Model performance measures such as precision, F-measure, True Positive Ratio, False Positive Ratio and Kappa coefficient all show high results (0.997–0.999, 0.997–0.999, 0.997–0.999, 0–0.001 and 0.9973, respectively). Such a developed model can have its application as a foundation for monitoring and managing solutions of large and heterogeneous IoT environments such as Industrial IoT, smart home, and similar. [ABSTRACT FROM AUTHOR]

Informing the users about their environment is of extreme importance for their full and independent functioning in the traffic system. Today's development of technology provides the user the access to information about their environment by using the smartphone device at any moment if there is a defined applicative solution. For this, it is necessary to define the user's environment according to the Ambient Assisted Living (AAL) concept, which understands adequate technology of gathering, processing and distribution of information. This paper presents the proposal of the solution for informing the traffic network users about the environment for the defined group of users based on the beacon technology. The mentioned solution is based on the results of two separate studies about the needs of users who move along a part of the traffic network. The aim of the proposed solution is to provide the user with precise and real-time information and to raise the level of safety during movement. [ABSTRACT FROM AUTHOR]

Movement and informing visually impaired persons is difficult because mobile application solutions and services are unable to work in indoors environments (location based service using GPS technology). Main precondition for active participation in the daily living and needs of visually impaired persons is increased degree of mobility. The aim of this research is to increase the quality of life of visually impaired persons and the degree of mobility in indoor environments by applying modern information and communication technologies (Cloud Computing, Fog, IoT, AAL / ELE platform). User requirement will be used to define functionalities of service for informing visually impaired persons in the example of large retail chains. A conceptual system architecture model will be proposed for providing information service with the aim to provide real-time information to users. This research will also show simulation testing of the proposed architecture with Arduino Uno and Raspberry Pi 3 platforms for collecting information and informing end users. [ABSTRACT FROM AUTHOR]

The information about the environment and the precise guidance of visually impaired people is the basis for their safe movement of the traffic network. Therefore, the information and communication services should be adapted to this group of users. The services based on the advanced information and communication technologies provide the visually impaired persons with information about the environment while moving along the traffic network. This paper analyses the currently available information systems of users when moving traffic network, and the currently most services based on new ICT (Information and Communications Technology). The analysis was carried on a representative sample of the City of Zagreb (Croatia) in involving all interest groups of visually impaired people. Based on defined user requirements is proposed a new services based on NFC (Near Field Communication) and RTLS (Real-Time Locating Systems). Testing and analysing the efficiency of single information and communication technologies have been performed on the actual traffic network system of the City of Zagreb. The users of the Croatian Society for Promotion and Development of Tiphlotechnology (Hrvatska Udruga za Promicanje i Razvoj Tiflotehnike–HUPRT,http://www.huprt.hr) participated in checking the efficiency of single technologies and services. [ABSTRACT FROM PUBLISHER]