The BSUIN project

Baltic Sea Underground Innovation Network (BSUIN) is an European Union funded project that extends capabilities of underground laboratories. The aim of the project is to join efforts in making the underground laboratories in the Baltic Sea Region’s more accessible for innovation, business development and science by improving the availability of information about the underground facilities, service offerings, user experience, safety and marketing.The development of standards for the characterization of underground laboratories will allow to compared them with each other. This will help you choose the best places for physical measurements such as neutrino physics or searching for dark matter. The project concerns laboratories where so far no measurements have been made, and even undergrounds where there are no organized laboratories yet.The description of the BSUIN project and the first results of characterization of natural radioactive background in underground laboratories will be presented ˙ The BSUIN Project is funded by Interreg Baltic Sea funding cooperation [2]

Mini-EUSO experiment to study UV emission of terrestrial and astrophysical origin onboard of the International Space Station

International audienceMini-EUSO will observe the Earth in the UV range (300 - 400 nm) offering the opportunity to study a variety of atmospheric events such as Transient LuminousEvents (TLEs), meteors and marine bioluminescence. Furthermore it aims to search for Ultra High Energy Cosmic Rays (UHECR) above $10^{21}$ eV and Strange Quark Matter (SQM).The detector is expected to be launched to the International Space Station in August 2019 and look at the Earth in nadir mode from the UV-transparent window of the Zvezda module of the International Space Station. The instrument comprises a compact telescope with a large field of view ($44^{\circ}$), based on an optical system employing two Fresnel lenses for lightcollection. The light is focused onto an array of 36 multi-anode photomultiplier tubes (MAPMT), for a total of 2304 pixels and the resulting signal is converted into digital, processed and stored viathe electronics subsystems on-board. In addition to the main detector, Mini-EUSO contains two ancillary cameras for complementary measurements in the near infrared (1500 - 1600 nm) and visible (400 - 780 nm) range and also a $8 \times 8$ SiPM imaging array

Machine learning for estimation of building energy consumption and performance:a review

Ever growing population and progressive municipal business demands for constructing new buildings are known as the foremost contributor to greenhouse gasses. Therefore, improvement of energy eciency of the building sector has become an essential target to reduce the amount of gas emission as well as fossil fuel consumption. One most eective approach to reducing CO2 emission and energy consumption with regards to new buildings is to consider energy eciency at a very early design stage. On the other hand, ecient energy management and smart refurbishments can enhance energy performance of the existing stock. All these solutions entail accurate energy prediction for optimal decision making. In recent years, articial intelligence (AI) in general and machine learning (ML) techniques in specic terms have been proposed for forecasting of building energy consumption and performance. This paperprovides a substantial review on the four main ML approaches including articial neural network, support vector machine, Gaussian-based regressions and clustering, which have commonly been applied in forecasting and improving building energy performance

Electronic stabilization of beams in sonar with cylindrical array

The article presents the principle of operation of the beamformer of sonar with a cylin-drical array. It demonstrates that a modified beamformer can be used for beam electronic stabilization. The paper presents the algorithm of a digital beamformer used to ensure that the beam’s axis is maintained in a horizontal plane when the ship’s pitch and roll are known. Finally, the article gives an overview of the technical problems of electronic beam deflection

Method for improving multibeam sonar bearing accuracy

The paper presents a simple method for improving multibeam sonar bearing accuracy. The principle proposed here is similar to the monopulse method, a solution commonly used in radars and sonars. With no manual or automatic beam rotation, the method offers a substantial reduction in the demand for sonar computational effort. It significantly reduces bearing error for a relatively high signal to noise ratio. The paper gives a boundary value of the output signal to noise ratio which when exceeded satisfactorily improves bearing accuracy