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Abstract. This work considers motion sensors as parts of the smart lighting system on basis of Beaglebone microcomputer. Detection system is designed for the smart lighting system. Experimental investigations of the detection system were made with different motion sensors. Based on the results comparative analysis was performed and optimal conditions for the detection system operation were found. IntroductionModern city lightning systems have raised requirements to energy conservation and resource efficiency due to growing power consumption for city lightening. Smart lightening systems meet such requirements.Advantages of the smart lightening system over ordinary one: -standard lightning systems have preset lightning time which does not depend on actual daylight hours and weather conditions that is solved by the smart lightning system that uses this dependence and assumes necessary measures; -switching universally used lightning systems on and off do not depend on the presence of pedestrians and moving vehicles resulting in pointless energy consumption during long period of time [1][2][3][4][5];-smart lightning control systems in contrast with ordinary ones monitor current status of each LED lamp and transfer information to the server that provides more efficient operation and timely failure removal; -hardware could be easily updated in accordance with installation location of the smart lightning system -busy highways, quiet suburban streets or city part alleys; -as smart lightning systems presuppose continuous monitoring and prompt troubleshooting that provides constant streets lighting and consequently influences on road safety [6]. To control smart lightning systems there are integrated systems that control lightning level, process sensor data signals and control communication with each other. Type of used sensors determines composition and functioning of the whole system as a sensor data signal ultimately indicates about the need to adjust lightning that is performed by the feedback of the majority of system units.

Abstract. The tendency of computer technologies implementation to all areas of life is obvious and indisputable. Informatization of such area as medicine, gives huge advantage to health care service. For example, use of telemedicine technologies will allow making professional medical care to the removed patient. The telemedicine is distance medical care of patients by means of computers, the Internet and other communication technologies. Nowadays, telemedicine is developed subarea of health services delivery and medical education system. It is the reliable and available instrument for the improvement of healthcare systems. In the remote regions of Russia forming of medical services is rather difficult, but last years, Russian organizations show interest in implementation of telemedical services. Telemedicine promotes cooperation between the medical organizations, allows organizing effective system of medical personnel training. Priority tasks of telemedicine development are following: standardization of the applied medical, computer and telecommunication technologies, development of information resources. Approach ''telemedicine'' is rather new, especially for Russia, so the problem of healthcare services improvement is a priority task of our society and one of the main aspects in policy of the Russian Federation. In this paper, we raise the issue of algorithms development for carrying out the medical consultations in telemedicine system

Abstract. Biometric technologies are based on biometrics, measurement of the unique characteristics of a certain person. These are the unique signs received by a person from birth and acquired characteristics that can change under the influence of time or external environment. This article discusses the principles of operation, types of biometric identification systems, describes examples and areas of their application.

Aim. To assess the clinical effectiveness of thrombolytic therapy (TLT) with alteplase in patients with acute myocardial infarction (AMI). Material and methods. The study included 54 AMI patients, divided into two groups: Group I (n=26), which underwent TLT, and Group II (n=28), which had contraindications to TLT. The TLT method was an accelerated alteplase infusion. Both groups were comparable by age and sex. In all patients, AMI biomarker levels and echocardiography (EchoCG) parameters were measured. Results. Successful thrombolysis was performed in 19 patients (73 %). The mean “symptom-to-needle” time was 3,7±0,6 hours. In Groups I and II, the 50 % reduction in the ST segment deviation from isoelectric line at 180 minutes was observed in 34,6 % and 0 % of the patients, respectively. In addition, in Group I, there was a reduction in the number of patients complaining of general weakness, dyspnoea, and recurrent angina attacks. The levels of cardio-specific AMI biomarkers were higher in Group II. According to the EchoCG results at 10 days after admission, the Group I patients demonstrated higher minute volume (by 28,8 %), higher ejection fraction (by 30 %), and higher end-diastolic dimension (by 23,8 %). Conclusion. The results obtained confirm high effectiveness of the in-hospital TLT with accelerated alteplase infusion. Alteplase therapy was associated with clinical and morphological myocardial salvage in AMI patients.

Lack of commonsense is one of the most challenging problems in the field of conversational AI. Despite the recent significant progress in NLP driven by pre-trained language models, commonsense reasoning is still out of reach. We propose an approach to evaluate conversational commonsense usage. We use the approach to evaluate conversational skills of the socialbot during interaction with users. Analysis of data with joint manual and automatic annotations allowed us to identify automatic metrics tied to commonsense.We also develop two commonsense conversational skills that combine commonsense knowledge graphs completion model COMeT [6] and templatebased approach.

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