This study outlines the design, construction and characterization of a tailored low-cost linear birdcage (BC) resonator for magnetic resonance imaging at 7T. Typically, different BC designs found in ...literature are well described in theory but lack crucial information for practical realization. This is challenging, as theoretical and practical aspects often differ greatly from each other, especially in the field of high frequency technology. We propose a simple and open-source 3D printable design which results in a working BC if the instructions in this publication are followed. The aim is to open up the possibility of building a functioning BC with simple means and a budget below 750 €, even for users without a great deal of expertise in MRI coil building. We demonstrate that the BC can achieve a good
B
1
field homogeneity using the double angle method. The proposed design is qualitatively compared to a commercially available resonator. Both perform equally well in terms of SNR and image quality.
Greetings! I am elated to write an article for the IEEE EMC Magazine on the “Student EMC Hardware Design Contest 2022” as part of the 2022 IEEE International Symposium on EMC+SIPI in Spokane, ...Washington (August 1–5, 2022).
Nichtlineare Regelung mit einem Raspberry PI Sven-Olaf Lindert; Höfler, Christian; Schlacher, Kurt
E & I. Elektrotechnik und Informationstechnik/Elektrotechnik und Informationstechnik,
01/2018, Letnik:
135, Številka:
3
Journal Article
Recenzirano
Odprti dostop
Die kommerziell erhältlichen Automatisierungssysteme sind sehr kostspielig. Hinzu kommen meist Lizenzgebühren für Software zur Simulation und Automatisierung. In diesem Artikel wird die Lösung einer ...anspruchsvollen Automatisierungsaufgabe, die Balancierung eines Balles auf einem rotierenden Rad, durch offene Software und preiswerte Hardware beschrieben. Zum Einsatz kommen der Einplatinencomputer Raspberry PI, das offene Hardware-Automationssystem BIOE und offene Software.
Heracles: Improving resource efficiency at scale Lo, David; Liqun Cheng; Govindaraju, Rama ...
2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA),
06/2015
Conference Proceeding
Odprti dostop
User-facing, latency-sensitive services, such as websearch, underutilize their computing resources during daily periods of low traffic. Reusing those resources for other tasks is rarely done in ...production services since the contention for shared resources can cause latency spikes that violate the service-level objectives of latency-sensitive tasks. The resulting under-utilization hurts both the affordability and energy-efficiency of large-scale datacenters. With technology scaling slowing down, it becomes important to address this opportunity. We present Heracles, a feedback-based controller that enables the safe colocation of best-effort tasks alongside a latency-critical service. Heracles dynamically manages multiple hardware and software isolation mechanisms, such as CPU, memory, and network isolation, to ensure that the latency-sensitive job meets latency targets while maximizing the resources given to best-effort tasks. We evaluate Heracles using production latency-critical and batch workloads from Google and demonstrate average server utilizations of 90% without latency violations across all the load and colocation scenarios that we evaluated.
Convolutional neural network (CNN) has become a successful algorithm in the region of artificial intelligence and a strong candidate for many computer vision algorithms. But the computation ...complexity of CNN is much higher than traditional algorithms. With the help of GPU acceleration, CNN-based applications are widely deployed in servers. However, for embedded platforms, CNN-based solutions are still too complex to be applied. Various dedicated hardware designs on field-programmable gate arrays (FPGAs) have been carried out to accelerate CNNs, while few of them explore the whole design flow for both fast deployment and high power efficiency. In this paper, we investigate state-of-the-art CNN models and CNN-based applications. Requirements on memory, computation and the flexibility of the system are summarized for mapping CNN on embedded FPGAs. Based on these requirements, we propose Angel-Eye, a programmable and flexible CNN accelerator architecture, together with data quantization strategy and compilation tool. Data quantization strategy helps reduce the bit-width down to 8-bit with negligible accuracy loss. The compilation tool maps a certain CNN model efficiently onto hardware. Evaluated on Zynq XC7Z045 platform, Angel-Eye is 6× faster and 5× better in power efficiency than peer FPGA implementation on the same platform. Applications of VGG network, pedestrian detection and face alignment are used to evaluate our design on Zynq XC7Z020. NIVIDA TK1 and TX1 platforms are used for comparison. Angel-Eye achieves similar performance and delivers up to 16× better energy efficiency.
Security of a computer system has been traditionally related to the security of the software or the information being processed. The underlying hardware used for information processing has been ...considered trusted. The emergence of hardware Trojan attacks violates this root of trust. These attacks, in the form of malicious modifications of electronic hardware at different stages of its life cycle, pose major security concerns in the electronics industry. An adversary can mount such an attack with an objective to cause operational failure or to leak secret information from inside a chip-e.g., the key in a cryptographic chip, during field operation. Global economic trend that encourages increased reliance on untrusted entities in the hardware design and fabrication process is rapidly enhancing the vulnerability to such attacks. In this paper, we analyze the threat of hardware Trojan attacks; present attack models, types, and scenarios; discuss different forms of protection approaches, both proactive and reactive; and describe emerging attack modes, defenses, and future research pathways.