143 research outputs found

    The Ban and its Enduring Bandwidth

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    This Essay is a contribution the Michigan Journal of Race & Law’s special issue marking the 20th anniversary of September 11, 2001 and the ensuing War on Terror. It reflects on Executive Order 13769, widely known as the “Muslim Ban,” years after it was signed into law, as an extra-legal catalyst of state-sponsored and private Islamophobia that unfolded outside of the United States

    Without Color of Law: The Losing \u3cem\u3eRace\u3c/em\u3e Against Colorblindness in Michigan

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    This Essay examines affirmative action, while discussing its fall in California, Washington State, and ultimately Michigan

    The New State of Surveillance: Societies of Subjugation

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    Foundational surveillance studies theory has largely been shaped in line with the experiences of white subjects in western capitalist societies. Formative scholars, most notably Michel Foucault and Gilles Deleuze, theorized that the advancement of surveillance technology tempers the State’s reliance on mass discipline and corporal punishment. Legal scholarship examining modern surveillance perpetuates this view, and popular interventions, such as the blockbuster docudrama The Social Dilemma and Shoshana Zuboff’s bestseller The Age of Surveillance Capitalism, mainstream the myth of colorblind surveillance. However, the experiences of nonwhite subjects of surveillance—pushed to or beyond the margins of these formative discourses—reflect otherwise. By disrupting surveillance theory and pushing it beyond the white subject and the West, this Article introduces the “society of subjugation” as a rebuttal. First, society of subjugation theory demystifies the colorblind presumption that advancements in surveillance technology humanize the State’s administration of it by diminishing reliance on mass discipline and punishment. Second, this unchecked deployment of digital surveillance in authoritarian states is intended to subjugate minority groups marked as oppositional, a form of collective discipline and punishment that supersedes social control—as critical scholars examining racialized surveillance in the United States have argued. Through its focal case study of Uyghur surveillance in China, this Article analyzes how state administration of digital surveillance blurs the mandates of mass control, discipline, and punishment into a state ensemble of subjugation. Further, this Article builds on surveillance literature by arguing that the salient locus of state surveillance may be racial identity, but, depending on the political context, may fixate on other forms of subaltern identity such as religion, sexual orientation, gender, and their intersections. In turn, this expands scholarly analysis and attention to other groups stigmatized by the rising tide and deepening gaze of digital surveillance—a phenomenon unfolding on a global scale

    Fixed-step Simulation of Continuous-Time sigma-delta Modulators

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    International audienceA methodology for the simulation of continuous time sigma-delta (ΣΔ) converters is presented in this paper. This method permits the simulation of ΣΔ modulators employing continuous-time filters using a fixed-step algorithm. The analysis method is based on the discretization of a continuous-time model and using a discrete simulator, which is more efficient than an analog simulator. In our analysis approach, each samplingperiod is divided into a fixed number of steps. This transformation is exact in term of Noise Transfer Function and asymptotically exact in term of Signal Transfer Function (the Signal Transfer Function of the model rapidly tends to the continuous time model transfer function when the number of steps increases). Moreover, the ideal step-size can be estimated from the bandwidth of the input signal

    BANDPASS / WIDEBAND ADC ARCHITECTURE USING PARALLEL DELTA SIGMA MODULATORS

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    International audienceThis paper presents a new method for digitizing wideband signals. It is based on the use of parallel analog delta sigma modulators, where each modulator converts a part of the input signal band. A major benefit of the architecture is that it widens the conversion band of the input signal and increases its dynamic range. Two solutions are proposed to reconstruct the signal: the first one uses bandpass filters without demodulation and the second demodulates the signal of each modulator, and then processes it in a lowpass filter. This paper focuses essentially on the digital part of the system and the overall performances are compared by using simulation results

    A New Adaptive Filter Approach for Acoustic Echo Canceller in Teleconference Systems

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    A flexible Frequency domain Block Recursive Least Squares (FBRLS) algorithm using the Multi-Delay Filter (MDF) is presented throughout this paper. In term of performances, the MDF-FBRLS adaptive filter introduces smaller block delay and is usually faster and suitable for ideal time-varying system such as an acoustic echo in a teleconference room. The implementation of the FBRLS algorithm using MDF adaptive filter allows reducing the FFT size and consequently optimizing the hardware implementation that could be performed using standard DSP chips. These good performances are achieved by using smaller block size and updating frequently the weight vectors which will reduce the total execution time of the adaptive process. Simulation results show that the MDF-FBRLS algorithm is better than the FBRLS algorithm in terms of the total execution time and the efficiency of the computational complexity

    Optimization of the Noise Transfer Function of Extended-Frequency-Band-Decomposition sigma-delta A/D converters

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    International audienceFrequency-Band-Decomposition (FBD) is a good candidate to increase the bandwidths of ADC converters based on sigma-delta modulators. Each modulator processes a part of the input signal band and is followed by a digital filter. In the case of large mismatches in the analog modulators, a new solution, called Extended Frequency-Band-Decomposition (EFBD) can be used. This solution allows for, for example, a four percent error in the central frequencies without significant degradation in the performance when the digital processing part is appeared to the analog modulators. A calibration of the digital part is thus required to reach these theoretical performance. This paper will focus on a self-calibration algorithm for an EFBD. The algorithm helps minimize the quantization noise of the EFBD

    Extended frequency-band-decomposition sigma–delta A/D converter

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    Parallelism can be used to increase the bandwidths of ADC converters based on sigma–delta modulators. Each modulator converts a part of the input signal band and is followed by a digital filter. Unfortunately, solutions using bandpass sigma–delta modulators are very sensitive to the position of the modulators' central frequencies. This paper shows the feasibility of a frequency-band-decomposition (FBD) ADC using continuous time bandpass sigma–delta modulators, even in the case of large analog mismatches. The major benefit of such a solution, called extended-frequency-band-decomposition (EFBD) is its low sensitivity to analog parameters. For example, a relative error in the central frequencies of 4% can be accepted without significant degradation in the performance (other published FBD ADCs require a precision of the central frequencies better than 0.1%). This paper will focus on the performance which can be reached with this system, and the architecture of the digital part. The quantization of coefficients and operators will be addressed. It will be shown that a 14 bit resolution can be theoretically reached using 10 sixth-order bandpass modulators at a sampling frequency of 800 MHz which results in a bandwidth of 80 MHz centered around 200 MHz (the resolution depends on the effective quality factor of the filters of the analog modulators)

    Enhanced group-based wireless ad-hoc sensor network protocol

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    [EN] Communication is the major energy consumption source in wireless ad-hoc sensor networks. Thus, an efficient tradeoff between the energy cost of the communication and network's performance is a key challenge in conceiving a wireless ad-hoc sensor network. In this article, we propose an improved group-based architecture for wireless ad-hoc sensor networks. An optimized group forming procedure and an efficient communication operation are introduced. In order to validate the proposed approach, we suggest a group-based strategy to monitor pharmaceutical drugs during transportation. Real measurements of temperature and vibration were performed to validate the effectiveness of our approach.Khedher, M.; Lloret, J.; Douik, A. (2016). Enhanced group-based wireless ad-hoc sensor network protocol. International Journal of Distributed Sensor Networks. 12(7):1-18. https://doi.org/10.1177/1550147716659427S118127Dargie, W., & Poellabauer, C. (2010). Fundamentals of Wireless Sensor Networks. doi:10.1002/9780470666388Singh, S. P., & Sharma, S. C. (2015). A Survey on Cluster Based Routing Protocols in Wireless Sensor Networks. Procedia Computer Science, 45, 687-695. doi:10.1016/j.procs.2015.03.133Liao, Y., Qi, H., & Li, W. (2013). Load-Balanced Clustering Algorithm With Distributed Self-Organization for Wireless Sensor Networks. IEEE Sensors Journal, 13(5), 1498-1506. doi:10.1109/jsen.2012.2227704Peng, I.-H., & Chen, Y.-W. (2013). Energy consumption bounds analysis and its applications for grid based wireless sensor networks. Journal of Network and Computer Applications, 36(1), 444-451. doi:10.1016/j.jnca.2012.04.014Lloret, J., Garcia, M., Tomás, J., & Boronat, F. (2008). GBP-WAHSN: A Group-Based Protocol for Large Wireless Ad Hoc and Sensor Networks. Journal of Computer Science and Technology, 23(3), 461-480. doi:10.1007/s11390-008-9147-6Lloret, J., García, M., Boronat, F., & Tomás, J. (s. f.). MANET Protocols Performance in Group-based Networks. IFIP International Federation for Information Processing, 161-172. doi:10.1007/978-0-387-84839-6_13Lloret, J., Garcia, M., & Tomas, J. (s. f.). Improving Mobile and Ad-hoc Networks performance using Group-Based Topologies. Wireless Sensor and Actor Networks II, 209-220. doi:10.1007/978-0-387-09441-0_18Lloret, J., Palau, C., Boronat, F., & Tomas, J. (2008). Improving networks using group-based topologies. Computer Communications, 31(14), 3438-3450. doi:10.1016/j.comcom.2008.05.030Garcia, M., Sendra, S., Lloret, J., & Canovas, A. (2011). Saving energy and improving communications using cooperative group-based Wireless Sensor Networks. Telecommunication Systems, 52(4), 2489-2502. doi:10.1007/s11235-011-9568-3Garcia, M., & Lloret, J. (2009). A Cooperative Group-Based Sensor Network for Environmental Monitoring. Cooperative Design, Visualization, and Engineering, 276-279. doi:10.1007/978-3-642-04265-2_41Shaikh, R. A., Jameel, H., d’ Auriol, B. J., Heejo Lee, Sungyoung Lee, & Young-Jae Song. (2009). Group-Based Trust Management Scheme for Clustered Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems, 20(11), 1698-1712. doi:10.1109/tpds.2008.258Chen, Y.-S., Hsu, C.-S., & Lee, H.-K. (2014). An Enhanced Group Mobility Protocol for 6LoWPAN-Based Wireless Body Area Networks. IEEE Sensors Journal, 14(3), 797-807. doi:10.1109/jsen.2013.2287895Yao-Chung Chang, Zhi-Sheng Lin, & Jiann-Liang Chen. (2006). Cluster based self-organization management protocols for wireless sensor networks. IEEE Transactions on Consumer Electronics, 52(1), 75-80. doi:10.1109/tce.2006.1605028Fazio, P., De Rango, F., Sottile, C., & Santamaria, A. F. (2013). Routing Optimization in Vehicular Networks: A New Approach Based on Multiobjective Metrics and Minimum Spanning Tree. International Journal of Distributed Sensor Networks, 9(11), 598675. doi:10.1155/2013/598675Saravanan, M., & Madheswaran, M. (2014). A Hybrid Optimized Weighted Minimum Spanning Tree for the Shortest Intrapath Selection in Wireless Sensor Network. Mathematical Problems in Engineering, 2014, 1-8. doi:10.1155/2014/71342
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