scholarly journals Mind control of a distant electronic device: A proof-of-concept pre-registered study

2019 ◽  
Author(s):  
Patrizio Tressoldi ◽  
Luciano Pederzoli ◽  
Elena Prati ◽  
Luca Semenzato
Keyword(s):  
Random Number ◽  
Electronic Device ◽  
Electronic Devices ◽  
Random Number Generator ◽  
Number Generator ◽  
Proof Of Concept ◽  
Normal Functioning ◽  
Adult Participants ◽  
Three Samples ◽  
Mind Control

This study was aimed at verifying the possibility of mentally in!uencing from a distance an electronic device based on a True Random Number Generator (TRNG). Thirteen adult participants contributed to 100 trials, each comprised three samples of data each of 15 minutes’ duration: one for pre-mental interaction, one for mental interaction, and one for post-mental interaction. For each of these three samples, at the end of each minute, the data sequence generated by the random number generator was analyzed with the Frequency and Runs tests in order to determine if there were any changes in the randomness of the sequence. A further 100 trials of three samples each of the same duration were collected during normal functioning of the device, as a control. The only evidence of an e"ect of distant mental interaction is an increase of approximately 50%, with respect to control data, of the number of samples within which the pre-determined statistical threshold for the detection of a reduction of the randomness was surpassed in both tests. Although the e"ect of distant mental interaction is still weak, we believe that the results of this study represent a proof-of-concept for the construction of electronic devices susceptible to distant mental in!uence.

scholarly journals Mind control at distance of an electronic device: a proof-of-concept preregistered study

2020 ◽  
Vol 34 (2) ◽  
pp. 233-245
Author(s):  
Patrizio E Tressoldi
Keyword(s):  
Random Number ◽  
Electronic Device ◽  
Electronic Devices ◽  
Random Number Generator ◽  
Number Generator ◽  
Proof Of Concept ◽  
Data Sequence ◽  
Adult Participants ◽  
Three Samples ◽  
Mind Control

This study was aimed at verifying the possibility of mentally influencing from a distance an electronic device based on a True Random Number Generator (TRNG).Thirteen adult participants contributed to 100 trials, each comprised of three samples of data each of 15 minutes’ duration: one for pre-mental interaction, one for mental interaction, and one for post- mental interaction.For each of these three samples, at the end of each minute, the data sequence generated by the random number generator was analysed with the Frequency and Runs test, in order to determine the reduction of the degree of randomness of the sequence.Further 100 trials of three samples each of the same duration, were collected as control of the spontaneous functioning of the device.The only evidence of an effect of distant mental interaction is an increase of approximately 50%, with respect to control data, of the number of samples within which the pre-determined statistical threshold for the detection of a reduction of the randomness was surpassed in both tests.Although the effect of distant mental interaction is still weak, we believe that the results of this study represent a proof-of-concept for the construction of electronic devices susceptible to distant mental influence.  

Fuzzy Based Pseudo Random Number Generator used for Wireless Networks

2013 ◽  
Vol 16 (2) ◽  
pp. 210-216 ◽  
Author(s):  
Sattar B. Sadkhan ◽  
◽  
Sawsan K. Thamer ◽  
Najwan A. Hassan ◽  
◽  
...  
Keyword(s):  
Wireless Networks ◽  
Random Number ◽  
Random Number Generator ◽  
Number Generator ◽  
Pseudo Random Number ◽  
Pseudo Random Number Generator

0.4 mW, 0.27 pJ/bit true random number generator using jitter, metastability and current starved topology

2020 ◽  
Vol 14 (7) ◽  
pp. 1001-1011
Author(s):  
Dhirendra Kumar ◽  
Rahul Anand ◽  
Sajai Vir Singh ◽  
Prasanna Kumar Misra ◽  
Ashok Srivastava ◽  
...  
Keyword(s):  
Random Number ◽  
Random Number Generator ◽  
Number Generator ◽  
True Random Number Generator

scholarly journals A High‐Speed True Random Number Generator Based on a Cu x Te 1− x Diffusive Memristor

2021 ◽  
pp. 2100062
Author(s):  
Kyung Seok Woo ◽  
Jaehyun Kim ◽  
Janguk Han ◽  
Jin Myung Choi ◽  
Woohyun Kim ◽  
...  
Keyword(s):  
High Speed ◽  
Random Number ◽  
Random Number Generator ◽  
Number Generator ◽  
True Random Number Generator

scholarly journals A Hardware Pseudo-Random Number Generator Using Stochastic Computing and Logistic Map

Micromachines ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 31
Author(s):  
Junxiu Liu ◽  
Zhewei Liang ◽  
Yuling Luo ◽  
Lvchen Cao ◽  
Shunsheng Zhang ◽  
...  
Keyword(s):  
Random Number ◽  
Chaotic Map ◽  
Logistic Map ◽  
Random Number Generator ◽  
Alternative Methods ◽  
Random Numbers ◽  
Number Generator ◽  
Stochastic Computing ◽  
Pseudo Random Number ◽  
Pseudo Random Number Generator

Recent research showed that the chaotic maps are considered as alternative methods for generating pseudo-random numbers, and various approaches have been proposed for the corresponding hardware implementations. In this work, an efficient hardware pseudo-random number generator (PRNG) is proposed, where the one-dimensional logistic map is optimised by using the perturbation operation which effectively reduces the degradation of digital chaos. By employing stochastic computing, a hardware PRNG is designed with relatively low hardware utilisation. The proposed hardware PRNG is implemented by using a Field Programmable Gate Array device. Results show that the chaotic map achieves good security performance by using the perturbation operations and the generated pseudo-random numbers pass the TestU01 test and the NIST SP 800-22 test. Most importantly, it also saves 89% of hardware resources compared to conventional approaches.

scholarly journals Silicon single-electron random number generator based on random telegraph signals at room temperature

AIP Advances ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 115101
Author(s):  
Kouta Ibukuro ◽  
Fayong Liu ◽  
Muhammad Khaled Husain ◽  
Moïse Sotto ◽  
Joseph Hillier ◽  
...  
Keyword(s):  
Room Temperature ◽  
Random Number ◽  
Random Number Generator ◽  
Single Electron ◽  
Number Generator ◽  
Random Telegraph Signals
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