The present invention relates to a method for the improvement of side-mode suppression oscillations of an optoelectronic oscillator comprising an optical section and electrical section, wherein the aforementioned optical section comprises a modulated light source, for example a laser, the Mach-Zehnder's modulator, from which a light fibre is led to a photodetector, and wherein the electrical section comprises an amplifier in series connected to the aforementioned photodetector, a band-pass filter and a splitter of an electrical signal at the output of the oscillator and the modulation input of the previously mentioned Mach-Zehnder's modulator.
F.32 International patent
COBISS.SI-ID: 11076180The performance of sensors varies considerably among different smartphone models and the development of a cross-platform mobile application might be a very complex and demanding task. We designed and implemented a pilot participatory sensing application for measuring, gathering, and analysis of smartphone sensor parameters. We start with smartphone accelerometer and gyroscope bias and noise parameters. The application database presently includes sensor parameters of more than 60 different smartphone models of different platforms. The next step, large-scale cloud-based version of the application, is already planned. The large database of smartphone sensor parameters may prove particularly useful for cross-platform developers.
F.11 Development of a new service
COBISS.SI-ID: 11330644In leafhoppers that are among the most important vectors of plant diseases, mate recognition and location are mediated exclusively by species- and sex-specific vibrational signals exchanged in precisely coordinated duets. These pests are currently managed primarily by insecticide treatments. However, current legislation and consumers’ concerns and demands require that the risks and impacts of pesticides be reduced. A proof-of-concept low-cost autonomous digital processing system (AS) is presented, capable of recognizing the male calls of the leafhopper Aphrodes bicincta ‘‘Dragonja” and generating female replies. Such a device could be used as a vibrational trap. This species was chosen since its duet structure is complex, with the female replies having to appear in short (47–175 ms) intervals between continuously repeated elements in the male call in order to trigger male searching behaviour. The AS male call recognition algorithm is based on linear prediction cepstral coefficient (LPCC) feature vectors and a multilayer perceptron classifier (MLP). To prevent the noise-based feature vectors from feeding into the classifier, a bandwidth-limited linear prediction call activity detector based on spectrum peak tracking was designed. The efficiency of the AS was tested in behavioural experiments with live males. The MLP classification method successfully classified vibrational calls of male A. bicincta ‘‘Dragonja” from background noise. The fast real-time identification enabled a synchronised playback of female vibrational reply with latencies as short as 130 ms. This mimicking of a duetting female by the autonomous system also attracted the males to the source of the female reply. The AS is also a useful tool to enable further studies of vibrational duets that are needed to develop effective alternative control strategies.
F.10 Improvements to an existing technological process or technology
COBISS.SI-ID: 3794255A novel approach for providing a comprehensive operational picture of heterogeneous networks by collecting system information from physical, data-link, network and application layers using extended methods and mechanisms for OAM, which take into account particularities of persistent access heterogeneity and IoT, is presented. A heterogeneous OAM (H-OAM) framework is proposed with a toolset for streamlined failure detection and isolation, and automated performance measurement and monitoring. A practical deployment of an H-OAM system is presented in a live mobile IoT testbed environment monitored by the operator. Results of two concrete usage scenarios performed in cooperation with two largest Slovenian mobile operators demonstrate how continuity check and connectivity verification, and performance diagnostics are conducted for Web-based IoT applications and network services of a live operational environment.
F.11 Development of a new service
COBISS.SI-ID: 11255124IPTV has been widely deployed throughout the world, bringing significant advantages to users in terms of the channel offering, video on demand, and interactive applications. One aspect that has often been neglected is the ability of precise and unobtrusive telemetry. TV set-top boxes that are deployed in modern IPTV systems can be thought of as capable sensor nodes that collect vast amounts of data, representing both the user activity and the quality of service delivered by the system itself. In this paper we focus on the user-generated events and analyse how the data stream of channel change events received from the entire IPTV network can be mined to obtain insight about the content. We demonstrate that it is possible to predict the occurrence of TV ads with high probability, and show that the approach could be extended to model the user behaviour and classify the viewership in multiple dimensions.
F.11 Development of a new service
COBISS.SI-ID: 11307860