Automated system for diagnosing the structural failures of the unmanned vessel

The studies show that individual elements of a vessel component that are subjected to variable-repeated loads may be destroyed even at lower voltages than any other calculated component (unit). This problem is particularly important for the dynamically developing direction of unmanned navigation, which operation may be carried out with a reduced crew, in its absence – both remotely and autonomously. Conditions of cyclic variable loads in corrosive media also play an important role with a total number of operation cycles, which may reach many millions over the entire operation period. It should be noted that the statistics show that about 80% of accidents in maritime transport are caused by fatigue effects. This paper is devoted to the development of software that is able to predict fatigue failure of units and structures. The paper also descriunmanned vessel the application within an unmanned vessel, as well as the use of described mathematical algorithm in a device with the possibility of projection of augmented reality on vessel units for further prediction. The described method of predicting the strength and simplifying the service is relevant when remote security controls are required.

Triboelectric generators made of mechanically robust PVDF films as self-powered autonomous sensors for wireless transmission based remote security systems

An environment-friendly approach towards the preparation of triboelectric generators used as self-powered sensors for wireless security systems.

OpenFlow Virtual Appliance

Network forensics vis-a-vis cloud computing offerings can be leveraged to address the needs of enterprise-grade spyware solutions online. A modular, extensible cloud architecture with intrinsic support for efficient security monitoring is proposed and an implementation architecture which facilitates dynamic interface with OpenFlow hardware to create infinite flexibility in managing security decisions is presented. A forensic DataCenter model that integrates remote security monitoring using an intelligent Virtual Security Gateway in a cloud domain was developed as part of the work. An OpenFlow Virtual Appliance is proposed as a security hardware interface for thin clients connected to the Cloud Sypware Robot (CSR) server. The cloud ontology-Software as a Service (SaaS) model was used for the CSR application conveying several security benefits. The goal is to facilitate an open, service-based, online network forensics application that is transparently provisioned for users. The paper proposes a security foundation for next-generation enterprise-grade cloud computing.