This PDF file contains the front matter associated with SPIE Proceedings Volume 11204, including the Title Page, Copyright information, Table of Contents, Author and Conference Committee lists.

The paper presents concept and design of the hemoglobin sensor structure based on integrated optics circuit with grating coupler. The presented integrated optics based sensor structure was designed for determination of the key parameter of the hemoglobin - oxidation level as well as concentration level. The manuscript presents numerical analysis focused on optimization of geometrical properties of selected components of the structure – grating coupler. The analysis were focused on determination of optimal parameters of the grating coupler in particular spatial period Λ and depth of grooves d_G. The numerical analysis of the sensor with grating coupler was carried out by Finite Difference Time Domain method (FDTD).

The paper presents the construction and the use of a video sensor developed for measuring liquid volume. A characteristic feature of the device is liquid volume measurement carried out based on digital image processing. The paper presents the results of a sensor calibration and measurements taken during the tests. The tests have been specially prepared to use the sensor to control the value of the ventricular assist device stroke volume. It has been shown that the sensor developed by the authors is equipped with a flat, floating membrane that allows measuring the stroke volume in the range of 0 to 80 ml.

The paper investigates the influence of selection and operators of evolutionary strategy on the reconstruction of the shape of the pneumatic membrane surface of the extracorporeal cardiac support pump. Sets consisting of selection, mutation and crossing were assessed. The study was conducted in the context of optimizing the distribution of markers on the surface of the flaccid membrane. The arrangement of the markers is important from the point of view of modeling the shape of the membrane surface and ultimately determining the stroke volume. The experiments were carried out for a convex membrane with a known mathematical description. The value of the error of mapping the determined shape of the membrane with respect to the shape of the reference surface was assumed as the criterion of the assessment.

The work concerns the study of the possibility of using an artificial neural network to determine the gas pressure or liquid, in the flow system. The basis for determining the pressure is the view of the membrane, which is obtained discreetly from the vision sensor. The essence of the method operation consists of associating the fuzzy image of the marker placed on the membrane with the corresponding reference pressure value, which in the network learning process, is read from the standard pressure gauge. The test used a device allowing the measuring of gas pressure with an accuracy no lower than 2%. The operation of the artificial neural network is based on identifying the degree of blurring the marker on the examined views of the membranes and associating them with the pressure values. In the case when the membrane views cannot be uniquely qualified for the training set, the network acts as an interpolator and predicts the pressure value.

This work presents results of analysis of the optical fiber magnetic field sensor with external conversion fabricated in the Department of Optoelectronics of the Silesian University of Technology. Such sensor can be used as optical fiber magnetic field sensors or as the optical fiber current sensors. This study is focused on possibility of using a wide range of optical wavelengths in order to extend the measuring range of this sensor.

Complexity and size of modern optic-fiber networks start to challenge the traditional methods of managing them and yet majority of telecommunication companies still report rapid growth of their optical networks. One of essential problems in managing optic-fiber networks is calculating the Quality of Transmission (QoT) of given path in network. The unit responsible for this task is Optical Performance Unit (OPU) which communicates with Network Management System (NMS). OPU's task is to determine whether it is possible to transmit signal through a given path. Modern OPUs are still operating based on traditional algorithms e.g. these systems take into consideration known physics rules and information about the network parameters, calculating transmission losses for each path. Main parameter that determines the OPUs result is Optical Signal to Noise Ratio (OSNR). However, measuring its value from NMS level is often not practical. An alternative solution to this problem might prove the application of Machine Learning (ML) algorithms for the estimation of OSNR. In this contribution an application of Artificial Neural Network (ANN) to an evaluation of OSNR in an optical Dense Wavelength Division Multiplexing (DWDM) network is investigated.

The paper presents an analysis of planar broadband waveguide interferometers in the case of a change in layer thickness. The analysis was performed for the wavelength range of 450nm-1200nm. The TE₀ and TM₀ orthogonal modes which propagate in this wavelength range are considered. At the output of the system, an interference signal behind a polarizer can be recorded. If a spectrometer is used as a detector, the recorded signal is a function of the wavelength. Change in the change thickness of the waveguide layers results in a change of the recorded signal shape.

In this paper optical properties of silk fibroin (SF) thin films obtained via spin coating method are investigated. Work concentrates on the experimental examination of influence of relative humidity (RH) in the range of 7-90% in air on the changes of SF refractive index, thickness and optical path at room temperature. Spectral ellipsometry and interference methods are used for the SF thin films optical properties measurements. The sensing structure response value, response time and recovery time are presented. The results shows that RH significantly influenced the SF thin films thickness and refractive index what should be taken into account during the designing of optical devices based on SF. It also shows that SF thin films are promising material for room temperature RH sensors.

The article proposes a method that allows simultaneous identification of many optical signatures used for the optical control in augmented reality systems. Optical signatures are generated using appropriately coded laser pulse sequences. The developed method of identifying optical signatures allows to identify individual series of laser pulses and is based on the analysis of video sequence of images. This is an important enhancement in relation to the systems used to cooperate with objects in the augmented reality environment.

The paper presents the results of thermographic and acoustic analysis of exemplary oil power transformer. Series of thermograms were taken. The higher temperature areas were distinguished on the transformer surfaces under different ambient temperatures. The thermograms indicated hot areas at the top of the transformer, especially under high ambient temperature. There were three areas that emit intensive infrared radiation in the spectrum: 7.5 μm < λ< 13 μm. These areas are located in the upper part of the transformer in zones of intense oil circulation forced by the cooling system. According to thermographic research the state of the transformer and the cooling system was proper. Within acoustic research, two areas were located with sources of magnetoacoustic signals of increased activity with the spectrum 15-65 kHz. Sources of these signals were intense phenomena occurring during the magnetization of ferromagnetic materials. No acoustic emission signal with increased activity from partial discharges were detected. The result of thermographic analysis corresponds with the results of acoustic signals analysis and analyzed together give a broader common description of the examined phenomena.

The article presents a tool for generating and detecting optical signatures. The tool was implemented in the Matlab environment using the Matlab Simulink package. The publication contains a proposal to use the developed tool to study the impact of laser activation time, camera image resolution, frame rate as a result of optical signature detection. The obtained results proved that the developed tool successfully allows to research various methods of generating and detecting optical signatures. It also allows a quantitative assessment of the correctness of the detection process.

The subject of the study is an application of Integer Programming method and Evolutionary Algorithm to optical Dense Wavelength Division Multiplexing network optimization. The main objective of the optimization is to minimize capital expenditure, which includes the costs of optical node resources, such as transponders and filters used in New Generation of Reconfigurable Optical Add Drop Multiplexers. For this purpose a model based on Integer Programming is proposed. The efficiency of the Integer Programming based software is compared with that of Evolutionary Algorithm. The results obtained show that there is an advantage in using EA for optimizing a large optical network when compared with Integer Programming. A realistic network of large dimension and traffic demand set was used in the numerical experiments.

This paper reports on the growth details and preliminary characterization of mid-wave infrared radiation InAsSb bariodes. The main device parameters were measured for barrier photodetector heterostructures with three different InAsSb absorber thicknesses: 1 µm (sample no. 1); 1.70 μm (sample no. 2); 2.56 μm (sample no. 3) and one non intentionally doped, 1.70 μm (sample no. 4). The crystallographic structure, responsivity, I-V curves and detectivity characterization were performed.

We present the study of the dynamics of a two-ring waveguide structure with space-dependent coupling, linear gain and nonlinear absorption; the system that can be implemented in polariton condensates, optical waveguides and nanocavities. We find that due to the modulation instability, it is possible to observe several complex nonlinear phenomena, including spontaneous symmetry breaking, stable inhomogeneous states, oscillating states (limit cycle) and even chaotic dynamics. We compare two systems of coupled rings, with one and two symmetrically located coupling centres.

Currently, objects tracking issue in immersive Virtual Reality (VR) applications is important for various applications. It is related not only to determination of the position and orientation of the user himself but also as the tool that she/he exploits in the VR environment. Among numerous methods of objects tracking, the "Lighthouse" solution implemented in the SteamVR tracking system deserves special attention. One of the main reasons is the open concept of the SteamVR tracking system and the availability of simple analytical tools, which allows users to build their own tracker modules. For correct operation, these tools require accurate data both on the parameters of the sensors and the base stations of the system. This paper describes research on these parameters. The obtained results allow for a more accurate implementation of the simulations, which are the basis for the design process of Steam devices.

In this paper, we are showing that the reduced graphene oxide could be used as a sensing layer in a chemoresitive gas sensors. The results of the investigation during which the sensing structure was affected by hydrogen and nitrogen dioxide in nitrogen and synthetic air in various temperatures are presented. We have observed that in certain temperature range, the resistance of the sensing structure was increased when hydrogen was in the gas mixture and was decreased when nitrogen dioxide was in the mixture, compared to the state without both gases. Moreover, we are showing that the humidity has no influence for the resistance of structure during the measurements with hydrogen. The measurements of the resistance has also been supplemented by the images of the structure obtained using scanning electron microscopy.

The aim of the paper is to present a digital retinal imaging hand-held system that consist of few elements - a smartphone and a powerful convex lens, encased together in 3D-printed adapter, allowing acquisition of human retina images. The developed post-processing method allows extracting retina vessels from those images.

For several decades, microfluidics and related fields have been dynamically developing. For the implementation of structures with a size of several dozen micrometers instead of expensive chrome photomasks, in some cases patterns printed on a typical film by laser printers can be used. The work will compare chrome masks and masks made by laser printers. The structures obtained by the less expensive masks printed on the film will also be presented.

In this paper, a simple combination of spin-coating fabrication techniques and cost-efficient polymer material for the fabrication of optoelectronic NO₂ sensor was investigated. A surface plasmon resonance (SPR) sensor was fabricated by chitosan thin films immobilized on the gold plasmonic active layer. Sensing structures were formed on the glass slides covered 50 nm thick Au films by spin-coating method from liquid chitosan salt phase. Polymeric thin film work as sensitive elements and transducer to get optical response from environment at room temperature (RT).

This work presents an investigation on UV radiation on conductive copolymer regio-regular poly(3-hexyltiophene) (rr- P3HT) and its mixture with zinc oxide nanomaterial as an organic-inorganic blend, which was used as a sensing layer for organic thin film transistor or chemoresistor for gas sensing. Morphology like sample roughness, zinc oxide particles distribution and electrical properties were measured of obtained thin film deposited on TFT substrate using airbrush method. The study shows that there is a significant influence on operating parameters of OTFT by the irradiation of UV light. Given results shows the possibility of using such polymer blend in the implementation of gas sensing applications.