More than a decade of research in the field of thermal, motion, vibration and electromagnetic radiation energy harvesting has yielded increasing power output and smaller embodiments. Power management circuits for rectification and DC-DC conversion are becoming able to efficiently convert the power from these energy harvesters. This paper summarizes recent energy harvesting results and their power management circuits.

Micropower energy harvesting

The contextual compendium analysis presented in this paper focuses on the Industry 4.0 and healthcare services innovation that relate to it. The appraisal discerns the specific components of Industry 4.0 and their related innovations or contribution in the healthcare industry. The first component, Cyber-physical systems, has led to Medical Cyber-physical systems applied in different circumstance to improve the efficiency of service provision. The second component, Internet of Things, has brought with it expanded networks, biosensors, smart pharmaceuticals, and other artificial organs. The final component has inspired the integrated of Natural Language Processing model as a calm-system operating in the background to complete a host of the process that improves diagnoses among other service provision and assistance functions. Additionally, the paper discusses Cognitive Computing, mHealth, and eHealth as emerging medical fields that can benefit from Industry 4.0.

Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0

The authors consider the peculiarities of technical means use while teaching auding in a foreign language to the students of the non-language specialities of Institute of Natural Recourses of Tomsk Polytechnic University. Properly chosen technical means for teaching a foreign language promote teaching process intensification and the growth of the motivation to study a foreign language especially as far as the students of non-language specialities are concerned.

К вопросу о формировании и развитии навыка устной монологической речи при обучении английскому языку студентов технического вуза (на примере института природных ресурсов томского политехнического университета)

Using random inquiry optimization method for provision of heat and cooling demand in hub systems for smart buildings

E-learning courses have become popular means of delivering knowledge to students in higher education institutions. Most participants of learning process note that they benefit from the possibility to gain knowledge regardless of time, location and device they use. Among other advantages possibility to return to learnt material several times, divide material into parts, consume information through different types of educational materials (video, infographics, presentations, text, quizzes etc.) are mentioned. At the same time most of the surveyed students chose that they lack personalization both of materials and studying process, limited in terms of fulfillment and would like to have a choice of the level of study. The educational trend that is able to put into practice the above mentioned requirements is blended learning as it has a range of advantages such as usability, consideration of individual abilities, additional materials introduction, activities monitoring. Although it combines offline and online learning, effectiveness of e-learning courses designed for its implementation play a crucial role. To make a learning process correspondent to the students’ needs adaptive learning can be introduced in higher education institutions. Adaptive learning is a methodology that allows to identify level of students’ knowledge and their learning styles and transform materials, tasks and ways of their delivery according to the needs of learning process participants. LMS Moodle offers different solutions for adaptive learning. They provide administrators and teachers with tools to vary all stages of a learning process starting with delivery of information and ending with assessment.

https://iopscience.iop.org/article/10.1088/1742-6596/1840/1/012062/pdf

Implementation of adaptive learning at higher education institutions by means of Moodle LMS

Sensor Network Information Flow Control Method with Static Coordinator within Internet of Things in Smart House Environment

In the recent years low power computing systems have gained popularity.  Networks, which use low power computer systems and transmitted data by using wireless connection are called wireless sensor networks, which  main task is to get the information from sensors and transmission network. Nowadays, the most topical researches pertaining to wireless sensor networks are grounded on the  new optimization of structure of network transmission protocol, the routing optimization in transmission network, optimization of network structure, as a result of which the life circle of wireless network sensors is possible to increase. In the present article the methodology for determining the life circle of network is discussed. The approaches in detection of life circle pertaining to the important network nodes are described.

/pdf/wireless-sensor-networks-lifetime-assessment-model-sj9vy4xkv3.pdf

Wireless sensor networks lifetime assessment model development

Introductory Programming Training of First Year Students

In the recent year's low power computing systems have gained popularity. Networks, which use low power computer systems and transmitted data by using wireless connection are called wireless sensor networks. Nowadays, the most topical researches pertaining to wireless sensor networks are grounded on the new optimization of structure of network transmission protocol, the routing optimization in transmission network, optimization of network structure, as a result of which the life circle of wireless network sensors is possible to increase. In the present article the methodology for determining the life circle of wireless sensor network elements is discussed. The approaches in detection of life circle pertaining to the important network nodes are described.

Method for node lifetime assessment in wireless sensor network with dynamic coordinator

In up-to-date conditions information technology is frequently associated with the modelling process, using computer technology as well as information networks. Statistical modelling is one of the most widespread methods of research of economic systems. The selection of methods of modelling of the economic systems depends on a great number of conditions of the researched system. Modelling is frequently associated with the factor of uncertainty (or risk), who’s description goes outside the confines of the traditional statistical modelling, which, in its turn, complicates the modelling which, in its turn, complicates the modelling process. This article describes the modelling process of assessing the economic efficiency of a multi-boiler adaptive heating system in real-time systems which allows for dynamic change in the operation scenarios of system service installations while enhancing the economic efficiency of the system in consideration.

/pdf/practical-validation-of-economic-efficiency-modelling-method-1i738ea07t.pdf

Aleksejs Jurenoks

Papers

Sensor Network Information Flow Control Method with Static Coordinator within Internet of Things in Smart House Environment

Wireless sensor networks lifetime assessment model development

Introductory Programming Training of First Year Students

Method for node lifetime assessment in wireless sensor network with dynamic coordinator

Practical Validation of Economic Efficiency Modelling Method for Multi-Boiler Heating System