0.37-pJ/b/dB PAM-4 Transmitter and Adaptive Receiver with Fixed Data and Threshold Levels for 12-m Automotive Camera Link

Water containing polyvinyl nitrate was experimentally assessed on the basis of organoleptic, general sanitary and toxicological indicators of harmfulness. It was established that that the compound did not change water organoleptic properties but produced a negative impact on viability of saprophytic microflora , nitrification processes and biochemical oxygen demand. Besides, in tests on animals. the substance caused acute, sub-acute and chronic toxicity. Based on those signs of harmfulness, threshold levels of exposure were established. Data obtained were taken into account for substantiation of MAC (Maximum allowable concentration) of polyvinyl nitrate in water bodies.

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Blind Adaptive Receiver in Asynchronous CDMA Systems Based on Pre-processing Recursive Least Squares Constant Modulus Algorithm

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2006.00778 ◽

2011 ◽

Vol 30 (1) ◽

pp. 77-80

Author(s):

Fa-yong Zhao ◽

Guang-zeng Feng

Keyword(s):

Least Squares ◽

Recursive Least Squares ◽

Constant Modulus ◽

Constant Modulus Algorithm ◽

Adaptive Receiver ◽

Blind Adaptive ◽

Cdma Systems ◽

Asynchronous Cdma

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Attitudes Threshold Levels and Cumulative Effects of the Daily Wind Turbines Encounter

SSRN Electronic Journal ◽

10.2139/ssrn.1757261 ◽

2011 ◽

Cited By ~ 3

Author(s):

Jacob Ladenburg ◽

Jens-Olav Dahlgaard

Keyword(s):

Wind Turbines ◽

Cumulative Effects ◽

Threshold Levels

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ARFIS: Adaptive-Receiver-Based Fuzzy Inference System for Diffusion- Based Molecular Communications

Current Nanoscience ◽

10.2174/1573413715666190625114949 ◽

2020 ◽

Vol 16 (2) ◽

pp. 280-289

Author(s):

Ghalib H. Alshammri ◽

Walid K. M. Ahmed ◽

Victor B. Lawrence

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Detection Threshold ◽

Learning Rule ◽

Optimal Number ◽

Molecular Communication ◽

Inference System ◽

Detection Scheme ◽

Adaptive Receiver ◽

Detection Schemes

Background: The architecture and sequential learning rule-based underlying ARFIS (adaptive-receiver-based fuzzy inference system) are proposed to estimate and predict the adaptive threshold-based detection scheme for diffusion-based molecular communication (DMC). Method: The proposed system forwards an estimate of the received bits based on the current molecular cumulative concentration, which is derived using sequential training-based principle with weight and bias and an input-output mapping based on both human knowledge in the form of fuzzy IFTHEN rules. The ARFIS architecture is employed to model nonlinear molecular communication to predict the received bits over time series. Result: This procedure is suitable for binary On-OFF-Keying (Book signaling), where the receiver bio-nanomachine (Rx Bio-NM) adapts the 1/0-bit detection threshold based on all previous received molecular cumulative concentrations to alleviate the inter-symbol interference (ISI) problem and reception noise. Conclusion: Theoretical and simulation results show the improvement in diffusion-based molecular throughput and the optimal number of molecules in transmission. Furthermore, the performance evaluation in various noisy channel sources shows promising improvement in the un-coded bit error rate (BER) compared with other threshold-based detection schemes in the literature.

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