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On-board data systems and data handling electronics are in constant evolution, due to the obsolescence of components and indeed to the need of increasing their performances. They follow ground technology trends, often at a slower pace, such as the ones allowing easier and faster integration by reusing building blocks. This is well reflected by on-board platform and payload computers that become not...
These proceedings contain the papers presented at the 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2014), held at University of Leicester, Leicester, United Kingdom, on 14–18 July 2014. The purpose of the AHS 2014 conference is to bring together leading researchers from the adaptive hardware and systems community to exchange experiences and share new ideas in the field.
In this paper, a novel voter design is presented which allows the voting of asynchronous network streams in flow-controlled networks. The voter synchronises incoming data streams automatically and is able to handle failure modes that typically occur in streaming applications. The voter degrades to a comparator if one of the redundant channels has failed and reintegrates the channels once they are...
A key requirement for modern Networks-on-Chip (NoC) is the ability to detect and diagnose faults and failures. A novel approach is proposed which addresses the challenge of fault detection using an online mechanism. The approach minimises online intrusion by employing dynamic rates of testing to maximize NoC throughput while still ensuring sufficient testing. This is achieved using a novel Monitor...
As transistor feature size scales down, soft errors in combinational logic because of high-energy particle radiation is gaining increasing concerns. In this paper, a soft error mitigation method based on accurate mathematical modeling of SER and addition of non-invert functionally redundant wires (FRWs) is proposed. In the proposed method, the factors which have significant influences on SER because...
Autonomously fault-tolerant systems have received a renewed interest for the design of dependable computing systems with the increasing requirements of a variety of critical applications including deep space probes, satellites, reactor control systems, and Internet-of-Things applications including health and environment monitoring. Autonomous fault-tolerant systems are based on hardware capable of...
In fault-tolerant FPGA systems, the internal reconfiguration capabilities supported in modern FPGAs is commonly utilized for enhanced fault mitigation. In such systems, faults in the internal configuration controller can degrade the fault-tolerance of the system and in extreme cases can lead to additional faults injected into the system. In this paper we present different methods for enhancing the...
Nanosatellites, while lowering the cost and ease of space access, suffer the issue of reduced performance compared to larger satellites, particularly when it comes to attitude determination and control. Field Programmable Gate Arrays (FPGAs) have been used in the past to make up for the shortfall in capability but tend to have more complicated development processes than general purpose microprocessors...
Clusters, constellations, formations, or ‘swarms’ of small satellites are fast becoming a way to perform scientific and technological missions more affordably. As objectives of these missions become more ambitious, there are still problems in increasing the number of communication windows, supporting multiple signals, and increasing data rates over reliable intersatellite and ground links to Earth...
This paper describes the advantages of the additional QoS of the SAE AS6802 Time-Triggered Ethernet open standard for space applications. It will give examples why a technology based on Ethernet, todays mostly used communication protocol based on the IEEE802.3 standard provides advantages for future spacecraft applications. It will further present the advantages of the static time-triggered traffic...
SpaceFibre is a high-speed data-link technology being developed by the University of Dundee for ESA to support spacecraft onboard data-handling applications. SpaceFibre operates at 2.5 Gbits/s, can run over fibre optic or electrical media, provides galvanic isolation, includes Quality of Service (QoS) and Fault Detection Isolation and Recovery (FDIR) support, and provides low-latency signalling. It...
Close range optical images are considered as useful inputs to current object detection systems. By using image fusion techniques, the object detection system can reduce the redundant information from the input image and improve its understanding about the close range environment. Recently multi-focus image fusion has been applied to adaptive landmine detection systems. This paper proposes a new PCA...
Miniature unmanned aerial vehicles (UAVs) such as quadrotors are increasingly in demand due to their small size and cost. The base navigation solution for such systems is typically a micro electro mechanical system (MEMS) based strap-down inertial navigation system (INS). To allow safe operation, navigation instrument failures need to be robustly handled through effective fault diagnosis. A popular...
This paper presents the design of a novel n-bit carry skip adder by its core components using quantum logic. The novelty of the proposed adder is that it considers a new design with optimal delay. Moreover, it is the first time in quantum circuit synthesis that the quantum realization of a carry skip adder is shown in terms of quantum gates, power and area, etc. Our proposed quantum multiplexer gate...
Wireless Sensor Networks (WSNs) are made of spatially distributed autonomous sensors, which cooperate to monitor a certain physical or environmental condition and pass their data through a network to a central data sink. A promising field of application of WSNs is planet exploration, in which a continuous monitoring of the surface is necessary, to have a clear notion of planet conditions and prepare...
Since their introduction in 1995, Support Vector Machines (SVM) have shown that classification by this relatively recent machine learning tool can be more accurate than popular contemporary techniques such as neural networks and decision trees, hence causing it to find its way quickly to various applications in engineering, economy and statistics. Despite their possible advantages, SVM use in space...
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