Applicability of photoelectrical solar units inside domical structures in northern conditions

The possibility of installing photoelectrical solar units inside domical structures with the maintenance of their power generation level was investigated; an optimal distance between a photoelectrical solar unit and the transparent walls of the respective domical structure was determined. The experiments were carried out at the North-Eastern Federal University in the central part of the Republic of Sakha (Yakutia) by determining reduction in the electrical energy efficiency of photoelectrical solar units when changing their location. An optimal distance for installing such units within transparent domical structures was found based on graphical interpretations and gradients. The authors obtained reference parameters for light flux reduction, the generation power of a photoelectrical solar unit when changing the operation medium, and the optimal distance of a photoelectrical solar unit inside a domical structure for reducing the surface contamination of the unit. It was found that, when photoelectrical solar units are operated within a transparent domical structure, the power generation falls by 25.61% as compared to actual results in open space. It was found that an increase in the distance between the transparent walls of the domical structure and the unit led to a decrease in the power generation by ~23.01% and the light flux power by 5.224% at 1.5 m. This method of installing photoelectrical solar units can be used in the construction and designing of smart home systems and autonomous power generation facilities in northern regions of Russia.

Analysis-Specific Fast Simulation at the LHC with Deep Learning

We present a fast-simulation application based on a deep neural network, designed to create large analysis-specific datasets. Taking as an example the generation of W + jet events produced in $$\sqrt{s}=$$ s = 13 TeV proton–proton collisions, we train a neural network to model detector resolution effects as a transfer function acting on an analysis-specific set of relevant features, computed at generation level, i.e., in absence of detector effects. Based on this model, we propose a novel fast-simulation workflow that starts from a large amount of generator-level events to deliver large analysis-specific samples. The adoption of this approach would result in about an order-of-magnitude reduction in computing and storage requirements for the collision simulation workflow. This strategy could help the high energy physics community to face the computing challenges of the future High-Luminosity LHC.

Human-Machine Cooperative Trajectory Planning for Semi-Autonomous Driving Based on the Understanding of Behavioral Semantics

This paper presents a novel cooperative trajectory planning approach for semi-autonomous driving. The machine interacts with the driver at the decision level and the trajectory generation level. To minimize conflicts between the machine and the human, the trajectory planning problem is decomposed into a high-level behavior decision-making problem and a low-level trajectory planning problem. The approach infers the driver’s behavioral semantics according to the driving context and the driver’s input. The trajectories are generated based on the behavioral semantics and driver’s input. The feasibility of the proposed approach is validated by real vehicle experiments. The results prove that the proposed human–machine cooperative trajectory planning approach can successfully help the driver to avoid collisions while respecting the driver’s behavior.

A MOBILE DEVICE FOR EXPLORING THE PERFORMANCE OF SOLAR PANELS

The article analyzes the approaches to the development of a device for continuous monitoring of electrical parameters of solar panel generation. In the course of the research it is proposed to expand the capabilities of the device in comparison with the existing analogues for more accurate consideration of the main factors that influence the level of electricity generation by solar panels. The proposed device was used to investigate the modes of operation of solar panels type ABI CL P60260. The monitoring results obtained can be used to predict the generation level at the site of installation. The developed approaches to the construction of a hardware-software complex for monitoring the electrical parameters of solar panel generation allow determining the generation characteristics directly at the installation site in given geographical coordinates. In addition, fixing changes in generation depending on weather conditions for a long time, will allow you to get correlation dependencies to predict the level of generation, it is important in the formation of autonomous power supply systems.

Music and Sculpture, a Panacea for Combating Unemployment in Nigeria

In contemporary Nigeria, a large number of graduates are turned out from the different tertiary institutions of higher learning every year. The fact is that such graduates while in the school believe that they will be out of school rigour on graduation and will soon start life as soon as they are gainfully employed. But such dreams are in most cases shattered by the non-availability of jobs for such graduates. In the light of this, a good number of people who are graduates from the different higher institutions in Nigeria roam the streets in search of non-existing jobs. This paper deals with speciality areas of music and sculpture, the advantages and benefits inherent in these areas and their roles in generating employment with the major components highlighted. For Nigeria to attain the employment generation level of the post MDGs, there is a need to put in place vocational trainings that would enhance the right input of highly skilled human resources in music and sculpture to feed the labour market for the overall growth and development of the nation.