This systematic review aims to investigate the ways in which assistive and developing technologies can help children and adolescents with autism spectrum disorder (ASD) experience less stress and neurophysiological distress. According to recent CDC data, the prevalence of ASD in the United States has climbed to 1 in 36 children. The symptoms of ASD can manifest in a wide range of ways, and the illness itself exhibits significant variations. Furthermore, it has been closely linked to experiencing stress and worry in one’s life, which many people refer to as sensory processing disorder (SPD). SPD is a disorder that describes how people behave when they are exposed to environmental stimuli that they may not normally process by feeling more intense than what is causing them to worry and distress. One of the most significant limiting factors that can prevent someone from engaging in what they need to do in their everyday lives is stress. Individuals with ASD deal with stress on a regular basis, which has a big impact on how they function. In order to address a significant research vacuum concerning the use of assistive and emerging technologies to reduce stress in individuals with ASD, this systematic review aims to investigate performance, measuring techniques, and interventions by gathering data from the past 10 years. In order to determine the research hypothesis, particular research questions, and the inclusion and exclusion criteria for the studies, the research process entails gathering studies through systematic review analysis in accordance with the PRISMA principles. Experimental and observational studies on the use of assistive and emerging technologies for stress and anxiety management in children and adolescents with ASD that were published only in English met the inclusion criteria. Research not directly related to stress and anxiety outcomes, articles published in languages other than English, and research conducted outside of the designated time frame were also excluded. The study’s findings demonstrated that the technologies under examination had beneficial impacts on reducing stress; nonetheless, notable limitations were found that could compromise the replication and generalizability of legitimate and dependable applications in their utilization.

One of the key subsystems from point of view of security of the complex IoT system is the smart business center (SB?) system. Some problems the design and operation of the SBC system are analyzed. When analysis of safety of the IoT system must take into account the reliability and security of the system at several levels: the level of sensors, the level of communication (communication lines, router, switch), the server level as the control device of components of the network, the level of the entire SBC subsystem. General architecture of network of the SB? is described. Reliability and security of key SB? hardwareand software manufacturers are analysed. In particular, security issue for SB? routers is considered. Shown the Markov model, which takes into account the technical conditions of typical network components of the SBC with the presence of software vulnerabilities when exposed to hacker attacks. On this model's basis it is possible to conduct further researches directed for improving the reliability operation and safety of IoT.

In this article, an innovative method is proposed for the realisation of zero knowledge subscriber identification schemes that is suitable for multimedia content distribution applications. The fundamental principle underlying the proposed method is the concept of using one-way Boolean functions as transformations for the zero knowledge identification. This enables the increase of the speed of completion of the identification process by two to three orders of magnitude, compared to the corresponding speed when using modular arithmetic with large numbers. A method for the establishment of one way Boolean functions for zero knowledge identification has been developed. Two examples for the application of the proposed method are presented.

This paper investigates a simple and effective method for the correction of errors that occur in bursts during data transmission in low - frequency channels but also during data storage in magnetic and optical disks. The specific technique is based on the binary weighted checksum which is computed with logical operations. It is shown that the solution proposed not only guarantees the correction of any single error burst but it also lowers the computational complexity reducing the required redundancy and making use of simple procedures and rules out erroneous correction. Finally, the use of the algorithm is illustrated via the thorough presentation of an example of erroneous data transmission.