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Journal articles on the topic 'Reconfigurable scan networks'

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Author: Grafiati

Published: 14 March 2023

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Zhang, Jin, Shuai Zhang, Xianqi Lin, Yong Fan, and Gert Pedersen. "3D Radiation Pattern Reconfigurable Phased Array for Transmission Angle Sensing in 5G Mobile Communication." Sensors 18, no. 12 (November 30, 2018): 4204. http://dx.doi.org/10.3390/s18124204.

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This paper proposes a 3D radiation pattern reconfigurable antenna (RPRA) and a reconfigurable phased array (RPA) for 5G mobile communication. The antenna and array are working at 28 GHz, which is selected as a 5G communication band in many countries. The proposed phased array will be applied as sensors to find out the optimal transmitting–receiving angle in a randomly changed cellular wireless scenarios. The RPRA and RPA are fed by Substrate Integrated Waveguide (SIW) and have three switchable radiation modes: Broadside 1, Broadside 2 and Endfire. The three modes correspond to three different radiation patterns and each of them covers a different area in the Azimuth plane. An eight-element phased array constructed by the proposed RPRA, which is able to switch beam in Azimuth plane and scan in the Elevation plane, is also presented in this paper. The proposed RPA is able to provide much higher spatial coverage than the conventional phased arrays and without additional feeding and phase shifting networks. The beam switching is realized by the PIN diodes. The proposed antenna and array have planer structures and require small clearance on the ground plane which makes them compatible with mobile phones. The simulations show good performance for both RPRA and RPA.

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Tu, Duong Thi Thanh, Son Cao, and Hien Duong. "An open double ring antenna with multiple reconfigurable feature for 5G/IoT below 6GHz applications." Bulletin of Electrical Engineering and Informatics 11, no. 1 (February 1, 2022): 310–18. http://dx.doi.org/10.11591/eei.v11i1.3337.

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In this paper, we proposed a hybrid or compound reconfigurable antenna using three PIN diode switching to achieve the different types of reconfiguration: frequency and radiation pattern. Based on an open ring structure with the varied active PIN diodes, the proposed antenna radiation pattern can scan a beam along with one of five directions with the same operating frequency. Depended on the number of active PIN diodes, the antenna operating frequency also can switch to two of six bands which are 1.9 GHz, 2.4/2.6 GHz, 3.5 GHz, 5 GHz, and 5.6 GHz. All frequency bands are popular ones of wireless communication as well as 5G/IoT applications. In addition, the antenna gets a compact size of 30mm *30 mm*1.6 mm and wide bandwidth due to using the radiating shape of a double ring. All details of antenna design are optimized by CST software, and the simulation results agree well with the measurement results.

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Ndimubandi, Samuel de Jésus, Xiao Ding, and Yu Zeng. "A Wide-Angle Scanning Planar Array Based on Four-Mode Pattern-Reconfigurable Elements." International Journal of RF and Microwave Computer-Aided Engineering 2023 (February 8, 2023): 1–8. http://dx.doi.org/10.1155/2023/7871837.

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This paper presents a design of a wide-angle scanning planar array based on a reconfigurable antenna with four radiation patterns for 5G applications. The pattern-reconfigurable antennas (PRAs), capable of switching into four radiation patterns with the help of PIN diodes, constitute the basic elements of the planar array. By exciting each port individually and combining the scans of the PRAs operating at four symmetrical modes in four quadrant subspaces, the main beam of the proposed scanning planar array can scan subspaces I, II, III, and IV by directing the main lobe from -65° to 65° with side lobes less than -7 dB, while supporting a 3 dB scanning coverage of up to 83.5° for each quadrant in the elevation plane. Due to its compactness, simpler biasing network, and more significant beam-scanning coverage, the scanning array by using four-mode PRAs has better performance, via simulation and measurement result agreement.

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Lylina, Natalia, Chih-Hao Wang, and Hans-Joachim Wunderlich. "SCAR: Security Compliance Analysis and Resynthesis of Reconfigurable Scan Networks." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022, 1. http://dx.doi.org/10.1109/tcad.2022.3158250.

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Lylina, Natalia, Chih-Hao Wang, and Hans-Joachim Wunderlich. "A Complete Design-for-Test Scheme for Reconfigurable Scan Networks." Journal of Electronic Testing, January 19, 2023. http://dx.doi.org/10.1007/s10836-022-06038-3.

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AbstractReconfigurable Scan Networks (RSNs) are widely used for accessing instruments offline during debug, test and validation, as well as for performing system-level-test and online system health monitoring. The correct operation of RSNs is essential, and RSNs have to be thoroughly tested. However, due to their inherently sequential structure and complex control dependencies, large parts of RSNs have limited observability and controllability. As a result, certain faults at the interfaces to the instruments, control primitives and scan segments remain undetected by existing test methods. In the paper at hand, Design-for-test (DfT) schemes are developed to overcome the testability problems e.g. by resynthesizing the initial design. A DfT scheme for RSNs is presented, which allows detecting all single stuck-at-faults in RSNs by using existing test generation techniques. The developed scheme analyzes and ensures the testability of all parts of RSNs, which include scan segments, control primitives, and interfaces to the instruments. Therefore, the developed scheme is referred to as a complete DfT scheme. It allows for a test integration to cover multiple fault locations can with a single efficient test sequence and to reduce overall test cost.

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