Retraction Note: Efficient Quantum Transmission in Multiple-Source Networks

Ming-Xing Luo; Gang Xu; Xiu-Bo Chen; Yi-Xian Yang; Xiaojun Wang

doi:10.1038/srep46957

Retraction Note to: RETRACTION: Efficient Quantum Transmission in Multiple-Source Networks

Scientific Reports ◽

10.1038/srep07627 ◽

2014 ◽

Vol 4 (1) ◽

Author(s):

Ming-Xing Luo ◽

Gang Xu ◽

Xiu-Bo Chen ◽

Yi-Xian Yang ◽

Xiaojun Wang

Keyword(s):

Multiple Source ◽

Quantum Transmission

Download Full-text

Efficient Quantum Transmission in Multiple-Source Networks

Scientific Reports ◽

10.1038/srep04571 ◽

2014 ◽

Vol 4 (1) ◽

Cited By ~ 4

Author(s):

Ming-Xing Luo ◽

Gang Xu ◽

Xiu-Bo Chen ◽

Yi-Xian Yang ◽

Xiaojun Wang

Keyword(s):

Multiple Source ◽

Quantum Transmission

Download Full-text

Multiple-source Record Linkage in a Rural Industrial Community, 1680–1820

History and Computing ◽

10.3366/hac.1994.6.3.133 ◽

1994 ◽

Vol 6 (3) ◽

pp. 133-142 ◽

Cited By ~ 7

Author(s):

Steve King

Keyword(s):

Early Modern ◽

Large Scale ◽

Social Economic ◽

Life Cycles ◽

Multiple Source ◽

Demographic Analysis ◽

Ordinary People ◽

Industrial Community ◽

The Social ◽

Broad Outline

Re-creating the social, economic and demographic life-cycles of ordinary people is one way in which historians might engage with the complex continuities and changes which underlay the development of early modern communities. Little, however, has been written on the ways in which historians might deploy computers, rather than card indexes, to the task of identifying such life cycles from the jumble of the sources generated by local and national administration. This article suggests that multiple-source linkage is central to historical and demographic analysis, and reviews, in broad outline, some of the procedures adopted in a study which aims at large scale life cycle reconstruction.

Download Full-text

Evaluation of options for improved large grid multiple-source schlieren systems

10.2514/6.1994-2301 ◽

1994 ◽

Cited By ~ 2

Author(s):

S. Collicott

Keyword(s):

Multiple Source ◽

Large Grid

Download Full-text

Implementation of a single-channel active noise control system with multiple reference sensors

Noise Control Engineering Journal ◽

10.3397/1/376830 ◽

2020 ◽

Vol 68 (5) ◽

pp. 358-366

Author(s):

H.E. Oh ◽

W.B. Jeong ◽

C. Hong

Keyword(s):

Single Channel ◽

Control Method ◽

Reference Signal ◽

Active Noise Control ◽

Multiple Source ◽

Weighted Sum ◽

Reference Signals ◽

Feedforward Controller ◽

Channel Control ◽

Source Signals

When multiple sources contribute competitively to the noise level, multi-channel control architecture is needed, leading to more cost and time for control computation. We, hence, are concerned with a single-channel control method with a single-reference signal obtained from a linear combination of the multiple source signals. First, we selected 3 source signal sensors for the reference signals and the error sensor, selected a proper actuator and designed the controllers: 3 cases of single-channel feedforward controllers with a single-reference signal respectively from the source signals, a multi-channel feedforward controller with the reference signals from the source signals, and the proposed controller with the reference signal from weighted sum of the source signals. The weighting factors and the filter coefficients of the controller were determined by the FxLMS algorithm. An experiment was then performed to confirm the effectiveness of the proposed method comparing the control performance with other methods for a tower air conditioner. The overall sound pressure level (SPL) detected by the error sensor is compared to evaluate their performance. The reduction in the overall SPL was obtained by 4.74 dB, 1.96 dB and 6.62 dB, respectively, when using each of the 3 reference signals. Also, the overall SPL was reduced by 7.12 dB when using the multi-reference controller and by 7.66 dB when using the proposed controller. Conclusively, under the multiple source contribution, a single-channel feed forward controller with the reference signal from a weighted sum of the source signals works well with lower cost than multi-channel feedforward controller.

Download Full-text