A Study on Fault Tolerance Technology of Flight Control Computer for Unmanned Aerial Vehicle

According to the reliability requirement of the Flight Control Computer for Unmanned Aerial Vehicle (UAV), a design scheme is proposed to ensure its reliability by using tri-redundancy technology. Further, by selecting appropriate redundant mode and the architecture model of the triple redundant flight control computer is established in this paper. The multi-channel security level method can give full play to the error tolerance ability of the system and improve the fault tolerance performance of the aircraft. After an extensive analysis and study of the structure of each module, the hardware circuit and software flow chart of the key technologies, such as redundancy strategy and synchronization method are suggested. A channel selection method based on channel security level is proposed. Combined with the comparison technology between channels, the selection of the optimal safe channel is realized.

Radiation-tolerant robotic complex URS-2

The results of the development of a radiation-tolerant robotic complex URS-2 for operation in hot cells at nuclear enterprises are presented. The robotic complex consists of several original components: robotic arm, control device with force feedback, control panel with hardware buttons and touch screen, control computer with system and application software, control-and-power cabinet. The robotic manipulator has 6 degrees of freedom, replaceable pneumatic grippers and is characterized by high radiation tolerance, similar to that of mechanical master-slave manipulators. The original design of the control device based on the delta-robot model that implements a copying mode of manual control of the robotic complex with force feedback is presented. The hardware and software solutions developed has made it possible to create a virtual simulator of the RTC for testing innovative methods of remote control of the robot, as well as teaching operators to perform technological tasks in hot cells. The experimental model of the robotic complex has demonstrated the ability to perform basic technological tasks in a demo hot cell, both in manual and automatic modes.

Applying Brain Computer Interface Technology for Playing Games

Brain Computer Interfaces are specialized systems that allows users to control computer applications using their brain waves. Initially, BCI were mostly used in medical field. But after some research and thanks to consumer-grade electroencephalography (EEG) devices, many applications and research opportunities were opened outside of the medical field. One particular area that is gaining more evidence due to the arrival consumer-grade devices is that of computer games, as it allows more user-friendly applications of BCI technology for the general public. In this report, we are going to talk about one of those games, Maze game. It will be a 2D maze, path known to the user. Using the EEG device named Neurosky Brain Wave Kit user will be able to move the avatar in order to reach the goal from the starting position.

Learning and Tracking Ad Hoc Fiducial Markers in Spatial Augmented Reality

We describe a spatial augmented reality system with a tangible user interface used to control computer simulations of complex systems. In spatial augmented reality, the user’s physical space is augmented with projected imagery, blending real objects with projected information, and a tangible user interface enables users to manipulate physical objects as controllers for interactive visualizations. Our system learns ad hoc objects in the user’s environment as fiducial markers (i.e., objects that are visually recognized and tracked). When combined with simulation and visualization tools, these interfaces allow the user to control simulations or ensembles of simulations via physical objects using apt metaphors. While other research has leveraged the use of depth cameras, our system enables the use of standard cameras in readily available smartphones and webcams and has an implementation that runs completely in JavaScript in the web browser. We discuss the prerequisite object-recognition requirements for such tangible user interfaces and describe computer-vision and machine-learning algorithms meeting those requirements. We conclude by presenting example applications, which are also available online.

Equations of periodic modes, which take into account features of the dynamics of their course in nonlinear automatic systems with computers in control system

In the article, based on the application of a continuous-discrete approach to the description of periodic modes that are possible in automatic systems with a control computer, equations are obtained that take into account the peculiarities of the dynamics of their flow in nonlinear systems of the noted class and provide an increase in the accuracy of calculating their parameters. This is achieved by taking into account the specifics of the structural diagram of the system under study by replacing the NOT system with harmonic linearization coefficients, which have correspondingly different formula expressions. The use of the proposed equations will make it possible to use the investigated modes more efficiently during the functioning of the system, or vice versa, it is guaranteed to get rid of them.

Removing the Constraints of Disability

One billion people globally live with disabilities that are physical, sensory, psychiatric, neurological, cognitive, or intellectual. Their disabilities are dynamic and can be temporary or permanent, singular or plural, from birth or developed, and can change over time. People with disabilities face barriers to economic, social, political, and cultural participation. Assistive technology, artificial intelligence, and broader technology can amplify their inclusion, participation, and independence. This chapter will highlight emerging and evolving technologies, rooted in machine learning and neural networks, which assist across different disabilities and seek to improve the user's sense of ability and independence. These include Seeing AI app, OXSIGHT, OrCam, Envision smart glasses, and Dot Watch for vision impairment; Ava app and cognitive hearing aid for hearing impairment; Liftware self-stabilising utensils for limited hand mobility; Eyegaze and Tobii – assistive technologies that allow users to control computer and smartphone screens with their eyes; and 3D printed prosthetics.