Готові списки джерел за темами / Reconfigurable scan networks

Добірка наукової літератури з теми "Reconfigurable scan networks"

Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Reconfigurable scan networks"

1

Baranowski, Rafal, Michael A. Kochte, and Hans-Joachim Wunderlich. "Reconfigurable Scan Networks." ACM Transactions on Design Automation of Electronic Systems 20, no. 2 (March 2, 2015): 1–27. http://dx.doi.org/10.1145/2699863.

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2

Larsson, Erik, Zehang Xiang, and Prathamesh Murali. "Graceful Degradation of Reconfigurable Scan Networks." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29, no. 7 (July 2021): 1475–79. http://dx.doi.org/10.1109/tvlsi.2021.3076593.

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3

Cantoro, Riccardo, Farrokh Ghani Zadegan, Marco Palena, Paolo Pasini, Erik Larsson, and Matteo Sonza Reorda. "Test of Reconfigurable Modules in Scan Networks." IEEE Transactions on Computers 67, no. 12 (December 1, 2018): 1806–17. http://dx.doi.org/10.1109/tc.2018.2834915.

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4

Baranowski, Rafal, Michael A. Kochte, and Hans-Joachim Wunderlich. "Access Port Protection for Reconfigurable Scan Networks." Journal of Electronic Testing 30, no. 6 (October 18, 2014): 711–23. http://dx.doi.org/10.1007/s10836-014-5484-2.

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5

Xu, Yizhen, Shouhong Chen, Jun Ma, Cuifeng Xu, and Ke Zeng. "Topology Modeling for Reconfigurable Scan Networks in IEEE 1687 Networks." Journal of Physics: Conference Series 2221, no. 1 (May 1, 2022): 012055. http://dx.doi.org/10.1088/1742-6596/2221/1/012055.

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Анотація:
Abstract This paper designs an automatic generation method of Reconfigurable Scan Networks (RSNs) directed topology model combined with graph theory. By studying IEEE 1687 chains information, RSNs directed topology model is generated automatically based on the interconnections between on-chip instruments and the corresponding internal register length which are determined on standard Instrument Connectivity Language (ICL) script. The test and result analysis demonstrate the feasibility and effectiveness of the technology, which solves the inefficiency and high error rate of RSNs directed topology model built by artificial analyzing ICL script.
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6

Baranowski, Rafal, Michael A. Kochte, and Hans-Joachim Wunderlich. "Fine-Grained Access Management in Reconfigurable Scan Networks." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 34, no. 6 (June 2015): 937–46. http://dx.doi.org/10.1109/tcad.2015.2391266.

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7

Hajian, M., B. Kuijpers, K. Buisman, A. Akhnoukh, M. Pelk, L. C. N. de Vreede, J. Zijdeveld, L. P. Ligthart, and C. Spitas. "Passive and Active Reconfigurable Scan-Beam Hollow Patch Reflectarray Antennas." ISRN Communications and Networking 2012 (May 6, 2012): 1–10. http://dx.doi.org/10.5402/2012/290534.

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Анотація:
The design concept of passive and active reconfigurable reflectarray antennas has been proposed and tested. The antenna elements in the array are identical hollowed patches. In the first phase of study the slots are loaded with a SMD capacitor to set the required phase shift needed for array implementation. Simulations show promising results. Mounting a SMD capacitor in such a configuration can be considered as the first step in using capacitive loading on a slotted patch for active microstrip reflectarrays. It is shown that by adjusting the capacitance values it is possible to scan the beam. In the second phase, the patch elements are loaded with active varactor-diode device which its reflected phase can be varied. This phase alteration is based on the variation of the diode capacitance which can be achieved by varying the biasing voltage of the active varactor device. In latter approach by activating these varactor devices, the phase of each antenna element in the array configuration can be adopted dynamically and consequently, its beam direction can be reconfigured. The reflectarrays incorporating passive and active elements have been built and tested at 7.0 GHz and 6.0 GHz, respectively. The performance of the proposed reconfigurable antennas is excellent, and there is good agreement between the theoretical and measurement results which pioneers design of arbitrarily reconfigurable antennas.
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8

Cantoro, Riccardo, Aleksa Damljanovic, Matteo Sonza Reorda, and Giovanni Squillero. "An Enhanced Evolutionary Technique for the Generation of Compact Reconfigurable Scan-Network Tests." Journal of Circuits, Systems and Computers 28, supp01 (December 1, 2019): 1940007. http://dx.doi.org/10.1142/s0218126619400073.

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Анотація:
Nowadays, many Integrated Systems embed auxiliary on-chip instruments whose function is to perform test, debug, calibration, configuration, etc. The growing complexity and the increasing number of these instruments have led to new solutions for their access and control, such as the IEEE 1687 standard. The standard introduces an infrastructure composed of scan chains incorporating configurable elements for accessing the instruments in a flexible manner. Such an infrastructure is known as Reconfigurable Scan Network or RSN. Since permanent faults affecting the circuitry can cause malfunction, i.e., inappropriate behavior, detecting them is of utmost importance. This paper addresses the issue of generating effective sequences for testing the reconfigurable elements within RSNs using evolutionary computation. Test configurations are extracted with automatic test pattern generation (ATPG) and used to guide the evolution. Post-processing techniques are proposed to improve the evolutionary fittest solution. Results on a standard set of benchmark networks show up to 27% reduced test time with respect to test generation based on RSN exploration.
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9

Cantoro, Riccardo, Aleksa Damljanovic, Matteo Sonza Reorda, and Giovanni Squillero. "A Novel Sequence Generation Approach to Diagnose Faults in Reconfigurable Scan Networks." IEEE Transactions on Computers 69, no. 1 (January 1, 2020): 87–98. http://dx.doi.org/10.1109/tc.2019.2939125.

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10

Ghani, Arfan, Akinyemi Aina, Chan Hwang See, Hongnian Yu, and Simeon Keates. "Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs)." Electronics 11, no. 7 (April 6, 2022): 1148. http://dx.doi.org/10.3390/electronics11071148.

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Анотація:
Early detection and diagnosis of COVID-19, as well as the exact separation of non-COVID-19 cases in a non-invasive manner in the earliest stages of the disease, are critical concerns in the current COVID-19 pandemic. Convolutional Neural Network (CNN) based models offer a remarkable capacity for providing an accurate and efficient system for the detection and diagnosis of COVID-19. Due to the limited availability of RT-PCR (Reverse transcription-polymerase Chain Reaction) tests in developing countries, imaging-based techniques could offer an alternative and affordable solution to detect COVID-19 symptoms. This paper reviewed the current CNN-based approaches and investigated a custom-designed CNN method to detect COVID-19 symptoms from CT (Computed Tomography) chest scan images. This study demonstrated an integrated method to accelerate the process of classifying CT scan images. In order to improve the computational time, a hardware-based acceleration method was investigated and implemented on a reconfigurable platform (FPGA). Experimental results highlight the difference between various approximations of the design, providing a range of design options corresponding to both software and hardware. The FPGA-based implementation involved a reduced pre-processed feature vector for the classification task, which is a unique advantage of this particular application. To demonstrate the applicability of the proposed method, results from the CPU-based classification and the FPGA were measured separately and compared retrospectively.
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Дисертації з теми "Reconfigurable scan networks"

1

Baranowski, Rafal [Verfasser], and Hans-Joachim [Akademischer Betreuer] Wunderlich. "Reconfigurable scan networks : formal verification, access optimization, and protection / Rafal Baranowski. Betreuer: Hans-Joachim Wunderlich." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2014. http://d-nb.info/1048558843/34.

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Частини книг з теми "Reconfigurable scan networks"

1

Bertossi, Alan A., and Alessandro Mei. "Optimal Segmented Scan and Simulation of Reconfigurable Architectures on Fixed Connection Networks." In High Performance Computing — HiPC 2000, 51–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44467-x_5.

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Тези доповідей конференцій з теми "Reconfigurable scan networks"

1

Lylina, Natalia, Chih-Hao Wang, and Hans-Joachim Wunderlich. "Robust Reconfigurable Scan Networks." In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2022. http://dx.doi.org/10.23919/date54114.2022.9774770.

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Baranowski, Rafal, Michael A. Kochte, and Hans-Joachim Wunderlich. "Securing Access to Reconfigurable Scan Networks." In 2013 22nd Asian Test Symposium (ATS). IEEE, 2013. http://dx.doi.org/10.1109/ats.2013.61.

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3

Kochte, Michael A., Rafal Baranowski, Marcel Schaal, and Hans-Joachim Wunderlich. "Test Strategies for Reconfigurable Scan Networks." In 2016 IEEE 25th Asian Test Symposium (ATS). IEEE, 2016. http://dx.doi.org/10.1109/ats.2016.35.

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4

Lylina, Natalia, Ahmed Atteya, Pascal Raiola, Matthias Sauer, Bernd Becker, and Hans-Joachim Wunderlich. "Security Compliance Analysis of Reconfigurable Scan Networks." In 2019 IEEE International Test Conference (ITC). IEEE, 2019. http://dx.doi.org/10.1109/itc44170.2019.9000114.

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Cantoro, Riccardo, Marco Palena, Paolo Pasini, and Matteo Sonza Reorda. "Test Time Minimization in Reconfigurable Scan Networks." In 2016 IEEE 25th Asian Test Symposium (ATS). IEEE, 2016. http://dx.doi.org/10.1109/ats.2016.58.

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6

Ull, Dominik, Michael Kochte, and Hans-Joachim Wunderlich. "Structure-Oriented Test of Reconfigurable Scan Networks." In 2017 IEEE 26th Asian Test Symposium (ATS). IEEE, 2017. http://dx.doi.org/10.1109/ats.2017.34.

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Lylina, Natalia, Chih-Hao Wang, and Hans-Joachim Wunderlich. "Online Periodic Test of Reconfigurable Scan Networks." In 2022 IEEE 31st Asian Test Symposium (ATS). IEEE, 2022. http://dx.doi.org/10.1109/ats56056.2022.00026.

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Brandhofer, Sebastian, Michael A. Kochte, and Hans-Joachim Wunderlich. "Synthesis of Fault-Tolerant Reconfigurable Scan Networks." In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2020. http://dx.doi.org/10.23919/date48585.2020.9116525.

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Lylina, Natalia, Chih-Hao Wang, and Hans-Joachim Wunderlich. "Testability-Enhancing Resynthesis of Reconfigurable Scan Networks." In 2021 IEEE International Test Conference (ITC). IEEE, 2021. http://dx.doi.org/10.1109/itc50571.2021.00009.

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10

Thiemann, Benjamin, Linus Feiten, Pascal Raiola, Bernd Becker, and Matthias Sauer. "On Integrating Lightweight Encryption in Reconfigurable Scan Networks." In 2019 IEEE European Test Symposium (ETS). IEEE, 2019. http://dx.doi.org/10.1109/ets.2019.8791543.

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