An investigation on a quantum communication phenomenon between sub-atomic properties of substances by Quantum eraser pattern quantification

The file attached to this record is the author's final peer reviewed version.The proposed novel idea is concerned with the investigation on a probability of sub-atomic quantum communication between the chemical substances by use of “interferometric Quantum eraser” pattern analysis, which would be the first step towards the further comprehensive study on a similar natural communications between the medications and diseased organic tissues. The hypothesis is based on the idea that, sub-atomic particles like photons attempt to access or gain complementary information causing their “wave-particle duality” shifting which is used to observe their time-sequenced activities. Such information would probably be provided by sub-atomic quantum communication action demonstrated between the substances in a chemical reaction. Similarly, the medications may have curing effects on a diseased organic tissue after such “natural” communication, by which a complementary information is transferred from the sub-atomic properties of chemical substance to the diseased organic tissue at same level for the treatment

Micro-structural analysis of tablet surface layers by intelligent laser speckle classification (ILSC) technique: An application in the study of both surface defects and subsurface granule structures

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Purpose : As a consequence of the latest developments in laser technologies it is now possible to develop a low-cost and accurate tablet inspection system by the unification of optical and artificial intelligence methods. Method: The functionality of the proposed system is based on a sequence of texture analysis of laser speckle images (using laser sources of 650 nm and 808 nm : VIS/IR) followed by the optimization of texture parameters using Bayesian Networks (BN). Results: In the first part of this work, a Bayesian inference method was used to detect micro-scale tablet defects that are generated “progressively” during production whereas in the second part a Bayesian classifier method was used to discriminate between tablets made from different granule sizes. In part two, it was shown that (i) the comparatively higher energy (5mW) IR laser light generates different speckle effects than the lower energy visible (Red 3mW) by interacting with deeper sub-surface of the tablets and (ii) by using multi-classifier systems (MCS) to fuse the Bayesian classifiers from both types of speckle images it was possible to achieve a higher discrimination power (88% classification accuracy) for distinguishing between tablets made from different granule sizes than one can achieve from a single image type. Conclusion: It is suggested that this unified method has the potential to provide for a comprehensive analysis of both tablet quality attributes, on the one hand, and failure modes, on the other, that might be used in the development of a low cost tablet inspection system

Knowledge acquisition via interactive Distributed Cognitive skill Modules

The human’s cognitive capacity for problem solving is always limited to his/her educational background, skills, experience, etc. Hence, it is often insufficient to bring solution to extraordinary problems especially when there is a time restriction. Nowadays this sort of personal cognitive limitation is overcome at some extent by the computational utilities (e.g. program packages, internet, etc.) where each one provides a specific background skill to the individual to solve a particular problem. Nevertheless these models are all based on already available conventional models or knowledge and unable to solve spontaneous unique problems, except human’s procedural cognitive skills. But unfortunately such low-level skills can not be modelled and stored in a conventional way like classical models and knowledge. This work aims to introduce an early stage of a modular approach to procedural skill acquisition and storage via distributed cognitive skill modules which provide unique opportunity to extend the limits of its exploitatio

The Characterization of photonic quantum wave-particle duality fluctuation phenomenon by Bayesian inference (AI)

Abstract: The magnitudes of atomic exchange [1] activities between the chemical substances (by interactions at interferometer’s test chamber) had already been observed earlier by quantization of interferometric (Mach-Zehnder) quantum eraser pattern’s motions caused by the photonic wave-particle duality fluctuations [2][3]. In our further experiments here, such fluctuations have been characterised by use of Bayesian inference technique (AI) which was capable of revealing the hidden information/links in the wave-particle duality fluctuation phenomenon, as normally not visible to human observer in a complex time-domain sequence of measurements. Within this work, the constructive role of AI techniques [4] (Bayesian Networks [5] in particular) has been emphasised which would lead to more effective analysis of a quantum phenomenon in the future

Metrological remote identification of a human body by stereoscopic camera techniques

The stereoscopic and 3D triangulation techniques are widely used in close-range photogrammetry for metrological applications. Same techniques may also implement remote identification tasks of a human body for the security requirements using its intrinsic geometrical features remotely acquired by stereoscopic CCD camera pair. Within the initial technique, Human body and some other features at the background in motion are selected and separated from rest of background by the image differentiation algorithm which is already performed by video frame grabber card in real-time. The further differentiation between the human body and other features in motion (e.g. birds, clouds, trees, etc.) is made by stereoscopic measurement techniques in relation with a simple human body features data base. The data base may contain; possible ranges of height, width of the body, maximum velocity, etc. Since the distance between the camera and human body could be measured, its velocity may easily be calculated

Image subpixel estimation by the evaluation of ON satellite sensor model

Mis-registration of ground control points caused by mixed pixels are the most significant error sources in remote sensing. Even though the effects of these errors on land-cover application have been so far widely investigated, no sufficient attention has been given to their impacts on satellite sensor geometry. In this paper the effect of such errors on sensor model accuracy and the possibility of using orbital epipolarity constrains of Orun & Natarajan (ON) satellite sensor model to avoid such errors are investigated

Practical applications of Quantum measurement techniques in pharmaceuticals and biologic activities

This report is mainly supported by the experiments done by utilizing a basic level quantum interferometer (Mach-Zehnder) in our electro-optics lab, based on quantum physical principles so that a laser light at 532nm wavelength (simulating single photons) is emitted into the interferometer and the light beam is splitted by two paths by interferometer optics then join together at the end producing an interference pattern (wave property). The pattern is stimulated by interaction between the interferometer’s lower or upper arm and a substance under investigation (e.g. chamber with gas, liquid, etc.) or a different medium whose refraction index differs from normal condition. Pattern is also modified by dislocation of interferometer’s components like its mirror or lens by a microscopic pressure on it

Low-level cognitive skill transfer between two individuals' minds via computer game-based framework

The novel technique introduced here aims to accomplish the first stage of transferring low-level cognitive skills between two individuals (e.g. from expert to learner) to ease the consecutive higher level declarative learning process for the target "learner" individual in a game environment. Such low-level cognitive skill is associated with the procedural knowledge and established at low-level of mind which can be unveiled and transferred by only a novel technique (rather than by a traditional educational environment ) like a highly interactive computer game domain in which a user exposes his/her unconscious mind behaviors via the game-hero non-deliberately during the game sessions. The cognitive data exposed by the game-hero would be recorded, and then be modelled by the artificial intelligence technique like Bayesian networks for an early stage of cognitive skill transfer and the cognitive stimuli are also generated to be used as game agents to train the learner

Detection of sub-cellular changes by use of λ=6.5 micron laser light interaction in association with Intelligent Laser Speckle Classification (ILSC) technique

The study is based on a principle of laser physics so that a (coherent) laser light whose wavelength is shorter than a feature under inspection (like sub-cellular component) can interact with such specific feature (or textural features) and generates laser speckle patterns which can characterize those specific features. By the method we have managed to detect differences at sub-cellular scales such as genetic modification, cellular shape deformation, etc. with 87% accuracy. In this study red laser is used whose wavelength (6.5 microns) is shorter than a plant cell (~60 microns) that is suitable to interact with sub-cellular features. The work is assumed to be an initial stage of further application on human cellular changes observation that would be utilized for development of more accurate methods such as better drug delivery assessments, systemic diseases early diagnosis, etc

Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching

Selection of appropriate template matching algorithms to run effectively on real-time low-cost systems is always major issue. This is due to unpredictable changes in image scene which often necessitate more sophisticated real-time algorithms to retain image consistency. Inefficiency of low cost auxiliary hardware and time limitations are the major constraints in using these sorts of algorithms. The real-time system introduced here copes with these problems utilising a fast running template matching algorithm, which makes use of best colour band selection. The system uses fast running real-time algorithms to achieve template matching and vehicle classification at about 4 frames /sec. on low-cost hardware. The colour image sequences have been taken by a fixed CCTV camera overlooking a busy multi-lane road