Digital Signal Processing

1905 Submissions

[11] viXra:1905.0447 [pdf] submitted on 2019-05-22 09:46:49

Learning Magnets Data Processing

Authors: George Rajna
Comments: 50 Pages.

In a new study, physicists at Radboud University have demonstrated that this could also be achieved by using chips whose operation is inspired by that of the human brain. [29] A team of researchers from the University of Münster, the University of Oxford and the University of Exeter has built an all-optical neural network on a single chip. [28] Physicists from Petrozavodsk State University have proposed a new method for oscillatory neural network to recognize simple images. Such networks with an adjustable synchronous state of individual neurons have, presumably, dynamics similar to neurons in the living brain. [27] Navid Borhani, a research-team member, says this machine learning approach is much simpler than other methods to reconstruct images passed through optical fibers, which require making a holographic measurement of the output. [26]
Category: Digital Signal Processing

[10] viXra:1905.0445 [pdf] submitted on 2019-05-22 10:27:29

Integrated Circuits Chaotic Signals

Authors: George Rajna
Comments: 52 Pages.

Researchers at Tokyo Institute of Technology have found a simple, yet highly versatile way to generate "chaotic signals" with various features. [30] In a new study, physicists at Radboud University have demonstrated that this could also be achieved by using chips whose operation is inspired by that of the human brain. [29] A team of researchers from the University of Münster, the University of Oxford and the University of Exeter has built an all-optical neural network on a single chip. [28] Physicists from Petrozavodsk State University have proposed a new method for oscillatory neural network to recognize simple images. Such networks with an adjustable synchronous state of individual neurons have, presumably, dynamics similar to neurons in the living brain. [27] Navid Borhani, a research-team member, says this machine learning approach is much simpler than other methods to reconstruct images passed through optical fibers, which require making a holographic measurement of the output. [26]
Category: Digital Signal Processing

[9] viXra:1905.0256 [pdf] submitted on 2019-05-16 07:42:51

Superfast Computing by Light Pulses

Authors: George Rajna
Comments: 46 Pages.

Superfast data processing using light pulses instead of electricity has been created by scientists. [27] Yao-Lung (Leo) Fang, an assistant computational scientist with the Quantum Computing Group in Brookhaven's Computational Science Initiative and a co-author of the paper, explained that a particle occupying a stable bound state is confined in space, such as an electron orbiting a hydrogen atom. [26] MIT researchers have designed a way to generate, at room temperature, more single photons for carrying quantum information. The design, they say, holds promise for the development of practical quantum computers. [25] Operation at the single-photon level raises the possibility of developing entirely new communication and computing devices, ranging from hardware random number generators to quantum computers. [24] Considerable interest in new single-photon detector technologies has been scaling in this past decade. [23] Engineers develop key mathematical formula for driving quantum experiments. [22] Physicists are developing quantum simulators, to help solve problems that are beyond the reach of conventional computers. [21] Engineers at Australia's University of New South Wales have invented a radical new architecture for quantum computing, based on novel 'flip-flop qubits', that promises to make the large-scale manufacture of quantum chips dramatically cheaper-and easier-than thought possible. [20] A team of researchers from the U.S. and Italy has built a quantum memory device that is approximately 1000 times smaller than similar devices-small enough to install on a chip. [19] The cutting edge of data storage research is working at the level of individual atoms and molecules, representing the ultimate limit of technological miniaturisation. [18] This is an important clue for our theoretical understanding of optically controlled magnetic data storage media. [17]
Category: Digital Signal Processing

[8] viXra:1905.0239 [pdf] submitted on 2019-05-17 04:27:48

Shuffling Public Keys (A Peer-to-peer Voting Algorithm)

Authors: Santi J. Vives
Comments: 27 Pages.

A peer-to-peer, permisionless cryptographic voting system that relies only on the existence of generic digital signatures and encryption.
Category: Digital Signal Processing

[7] viXra:1905.0235 [pdf] submitted on 2019-05-15 07:53:54

Centralization Cryptocurrency Mining

Authors: George Rajna
Comments: 72 Pages.

Design and his collaborators developed a novel approach to untangle the centralization phenomena in blockchain mining. [42] Cryptography is often used in information technology security environments to protect sensitive, high-value data that might be compromised during transmission or while in storage. [41] In a step forward for information security for the Internet of Things, a team of researchers has published a new paper in the online edition of Nano Letters in which they have engineered a new type of physically unclonable function (PUF) based on interfacial magnetic anisotropy energy (IAE). [40] Researchers from Linköping University and the Royal Institute of Technology in Sweden have proposed a new device concept that can efficiently transfer the information carried by electron spin to light at room temperature-a stepping stone toward future information technology. [39] Now writing in Light Science & Applications, Hamidreza Siampour and co-workers have taken a step forward in the field of integrated quantum plasmonics by demonstrating on-chip coupling between a single photon source and plasmonic waveguide. [38] Researchers at University of Utah Health developed a proof-of-concept technology using nanoparticles that could offer a new approach for oral medications. [37] Using scanning tunneling microscopy (STM), extremely high resolution imaging of the molecule-covered surface structures of silver nanoparticles is possible, even down to the recognition of individual parts of the molecules protecting the surface. [36] A fiber optic sensing system developed by researchers in China and Canada can peer inside supercapacitors and batteries to observe their state of charge. [35] The idea of using a sound wave in optical fibers initially came from the team's partner researchers at Bar-Ilan University in Israel. Joint research projects should follow. [34]
Category: Digital Signal Processing

[6] viXra:1905.0202 [pdf] submitted on 2019-05-13 07:18:48

Blockchain for Science: Bloxberg

Authors: George Rajna
Comments: 45 Pages.

Securing scientific information online and worldwide with no risk of manipulation is now possible, thanks to the decentralized blockchain infrastructure Bloxberg. [26] A new type of money that allows users to make decisions based on information arriving at different locations and times, and that could also protect against attacks from quantum computers, has been proposed by a researcher at the University of Cambridge. [25] Shortcomings of security breach notifications, best practices for phishing warnings and lessons learned from the use of analytics to improve student performance are among several studies University of Michigan researchers will present beginning this weekend in the United Kingdom. [24] But moral questions about what data should be collected and how it should be used are only the beginning. [23] A self-driving vehicle has to detect objects, track them over time, and predict where they will be in the future in order to plan a safe manoeuvre. [22] In order to improve world food conditions, a team around computer science professor Kristian Kersting was inspired by the technology behind Google News. [21] Small angle X-ray scattering (SAXS) is one of a number of biophysical techniques used for determining the structural characteristics of biomolecules. [20] A deep neural network running on an ordinary desktop computer is interpreting highly technical data related to national security as well as-and sometimes better than-today's best automated methods or even human experts. [19] Scientists at the National Center for Supercomputing Applications (NCSA), located at the University of Illinois at Urbana-Champaign, have pioneered the use of GPU-accelerated deep learning for rapid detection and characterization of gravitational waves. [18] Researchers from Queen Mary University of London have developed a mathematical model for the emergence of innovations. [17] Quantum computers can be made to utilize effects such as quantum coherence and entanglement to accelerate machine learning. [16] Neural networks learn how to carry out certain tasks by analyzing large amounts of data displayed to them. [15]
Category: Digital Signal Processing

[5] viXra:1905.0158 [pdf] submitted on 2019-05-10 08:20:10

Quasi-Particles Computing

Authors: George Rajna
Comments: 59 Pages.

These exotic particles can, for example, emerge as quasi-particles in topological superconductors and represent ideal building blocks for topological quantum computers. [35] This event is considered as a striking proof of the existence of Majorana particles, and it represents a crucial step towards their use as building blocks for the development of quantum computers. [34] In the latest experiment of its kind, researchers have captured the most compelling evidence to date that unusual particles lurk inside a special kind of superconductor. [33] With their insensitivity to decoherence, Majorana particles could become stable building blocks of quantum computers. [32] A team of researchers at the University of Maryland has found a new way to route photons at the micrometer scale without scattering by building a topological quantum optics interface. [31] Researchers at the University of Bristol's Quantum Engineering Technology Labs have demonstrated a new type of silicon chip that can help building and testing quantum computers and could find their way into your mobile phone to secure information. [30] Theoretical physicists propose to use negative interference to control heat flow in quantum devices. [29] Particle physicists are studying ways to harness the power of the quantum realm to further their research. [28] A fundamental barrier to scaling quantum computing machines is "qubit interference." In new research published in Science Advances, engineers and physicists from Rigetti Computing describe a breakthrough that can expand the size of practical quantum processors by reducing interference. [26] The search and manipulation of novel properties emerging from the quantum nature of matter could lead to next-generation electronics and quantum computers. [25]
Category: Digital Signal Processing

[4] viXra:1905.0107 [pdf] submitted on 2019-05-08 04:06:14

Silicon Switches to Compute

Authors: George Rajna
Comments: 76 Pages.

Logic and memory devices, such as the hard drives in computers, now use nanomagnetic mechanisms to store and manipulate information. [47] Physicists at the University of Alberta in Canada have developed a new way to build quantum memories, a method for storing delicate quantum information encoded into pulses of light. [45] Now, an Australian research team has experimentally realised a crucial combination of these capabilities on a silicon chip, bringing the dream of a universal quantum computer closer to reality. [44] A theoretical concept to realize quantum information processing has been developed by Professor Guido Burkard and his team of physicists at the University of Konstanz. [43] As the number of hacks and security breaches rapidly climbs, scientists say there may be a way to make a truly unhackable network by using the laws of quantum physics. [42] This world-first nanophotonic device, just unveiled in Nature Communications, encodes more data and processes it much faster than conventional fiber optics by using a special form of 'twisted' HYPERLINK "https://phys.org/tags/light/" light. [41] Purdue University researchers created a new technique that would increase the secret bit rate 100-fold, to over 35 million photons per second. [40] Physicists at The City College of New York have used atomically thin two-dimensional materials to realize an array of quantum emitters operating at room temperature that can be integrated into next generation quantum communication systems. [39] Research in the quantum optics lab of Prof. Barak Dayan in the Weizmann Institute of Science may be bringing the development of such computers one step closer by providing the "quantum gates" that are required for communication within and between such quantum computers. [38]
Category: Digital Signal Processing

[3] viXra:1905.0040 [pdf] submitted on 2019-05-02 12:32:22

Electroacoustic Magnon Computer Memory

Authors: George Rajna
Comments: 73 Pages.

Computer memory could become faster and cheaper thanks to research into a promising class of materials by University of Arkansas physicists. [44] There's little doubt the information technology revolution has improved our lives. But unless we find a new form of electronic technology that uses less energy, computing will become limited by an "energy crunch" within decades. [43] Researchers at the Niels Bohr Institute, University of Copenhagen, have recently succeeded in boosting the storage time of quantum information, using a small glass container filled with room temperature atoms, taking an important step towards a secure quantum encoded distribution network. [42] New work by a team at the University of Bristol's Centre for Quantum Photonics has uncovered fundamental limits on the quantum operations which can be carried out with postselection. [41] The experimental investigation of ultracold quantum matter makes it possible to study quantum mechanical phenomena that are otherwise inaccessible. A new test to spot where the ability to exploit the power of quantum mechanics has evolved in nature has been developed by physicists at the University of Warwick. [38] A team led by Austrian experimental physicist Rainer Blatt has succeeded in characterizing the quantum entanglement of two spatially separated atoms by observing their light emission. [37] Researchers have demonstrated the first quantum light-emitting diode (LED) that emits single photons and entangled photon pairs with a wavelength of around 1550 nm, which lies within the standard telecommunications window. [36] JILA scientists have invented a new imaging technique that produces rapid, precise measurements of quantum behavior in an atomic clock in the form of near-instant visual art. [35]
Category: Digital Signal Processing

[2] viXra:1905.0024 [pdf] submitted on 2019-05-01 07:24:57

Data Privacy at Human Computer Interaction

Authors: George Rajna
Comments: 41 Pages.

Shortcomings of security breach notifications, best practices for phishing warnings and lessons learned from the use of analytics to improve student performance are among several studies University of Michigan researchers will present beginning this weekend in the United Kingdom. [24] But moral questions about what data should be collected and how it should be used are only the beginning. [23] A self-driving vehicle has to detect objects, track them over time, and predict where they will be in the future in order to plan a safe manoeuvre. [22] In order to improve world food conditions, a team around computer science professor Kristian Kersting was inspired by the technology behind Google News. [21] Small angle X-ray scattering (SAXS) is one of a number of biophysical techniques used for determining the structural characteristics of biomolecules. [20] A deep neural network running on an ordinary desktop computer is interpreting highly technical data related to national security as well as-and sometimes better than-today's best automated methods or even human experts. [19] Scientists at the National Center for Supercomputing Applications (NCSA), located at the University of Illinois at Urbana-Champaign, have pioneered the use of GPU-accelerated deep learning for rapid detection and characterization of gravitational waves. [18] Researchers from Queen Mary University of London have developed a mathematical model for the emergence of innovations. [17] Quantum computers can be made to utilize effects such as quantum coherence and entanglement to accelerate machine learning. [16] Neural networks learn how to carry out certain tasks by analyzing large amounts of data displayed to them. [15] Who is the better experimentalist, a human or a robot? When it comes to exploring synthetic and crystallization conditions for inorganic gigantic molecules, actively learning machines are clearly ahead, as demonstrated by British Scientists in an experiment with polyoxometalates published in the journal Angewandte Chemie. [14]
Category: Digital Signal Processing

[1] viXra:1905.0023 [pdf] submitted on 2019-05-01 08:45:58

Fast Frame Rate Up-conversion Using Video Decomposition

Authors: Nikhil Singh, Saumik Bhattachary
Comments: 7 Pages.

Video is one of the most popular media in the world. However, video standards that are followed by different broadcasting companies and devices differ in several parameters. This results in compatibility issues in different hardware while handling a particular video type. One of such major, yet important parameter is frame rate of a video. Though it is easy to reduce the frame rate of a video by dropping frames at a particular interval, frame rate up-conversion is a non-trivial yet important problem in video communication. In this paper, we apply video decomposition algorithm to extract the moving regions in a video and interpolate the background and the sparse information separately for a fast up-conversion. We test our algorithm for different video contents and establish that the proposed algorithm performs faster than the existing up-conversion method without producing any visual distortion.
Category: Digital Signal Processing