This paper describes a newly designed all-glass miniature (O 125 µm) fiber-optic pressure sensor design that is appropriate for high-volume manufacturing. The fabrication process is based on the chemical etching of specially-designed silica optical fiber, and involves a low number of critical production operations. The presented sensor design can be used with either single-mode or multi-mode lead-in fiber and is compatible with various types of available signal processing techniques. A practical sensor sensitivity exceeding 1000 nm/bar was achieved experimentally.
COBISS.SI-ID: 13269526
This paper presents a quasi-distributed, long-gauge, sensor system for measurement of optical path length variation. This system can be directly applied to long gauge strain and/or temperature sensing. The proposed sensor system is comprised of sensing fiber, which is divided into the sensor’s segments separated by semi reflective mirrors made out of standard optical connectors. Short duration modulated optical bursts are launched into the sensing fiber and phase differences among individual reflected bursts are measured to determine the optical path-length variations among adjacent mirrors.
COBISS.SI-ID: 13269526
This paper presents a high bend tolerant multimode optical fiber transmission system that is compatible with standard 50 µm graded index multimode fiber, in terms of achievable bandwidth and interconnectivity losses. When the 10 loops of the proposed bend resistivefiber were wrapped around a cylinder of 1.5 mm radius, bend losses below -0.2 dB were achieved in case of produced fiber. Furthermore, when the section of the proposed bend resistive fiber was inserted between two sections of a standard 50 µm graded index fiber, the total experimental measured loss proved to be below -0.15 dB.
COBISS.SI-ID: 13634582
The paper describes work in the field of video recording and streaming. Described and evaluated is the automatic system for recording - VeLAP (Video-based e-Lectures for All Participants). Evaluation was made with a SUMI evaluation methodology and shows correct usability of the proposed system.
COBISS.SI-ID: 13355030