The autonomous beekeeping solution provides the possibility to monitor the bee hives from a distance. The distance monitoring opens a floor for new business opportunities, like production of mono-floral honey, as well as more intensive manufacture of honey products. The solution is based on new generation of IoT resources, and deployment of IoT concept in agricultural sector [3; 23; 24; 25]. It is worth noting that physical survey disturbs the bees and causes them stress, which can negatively affect the productivity of the bee colony, as well as taking beekeeper time. In addition, distance does not always allow the beekeeper to react quickly to crisis situations in the apiary. The technology developed in the project allows to use distance monitoring of the beehive, which significantly facilitates the daily life of the beekeeper, allows quick decision-making in critical situations and does not reduce bee productivity, as it does not affect the daily life of the beehive.The beekeeper can observe the apiary remotely and will be able to decide to visit the apiary only if necessary. A great helper is the hive video surveillance system, which will help to monitor the flight activity of bee colonies during the day, as well as to visually assess the condition of the apiary. The new system uses alternative energy sources (solar, wind energy) for the power supply of the system, which increases the possibilities of using the system in distance monitoring on fields.

Highly productive dairy cow' ration under intensive production conditions causes the development of subacute rumen acidosis (SARA). In this paper we discuss a reticulo-ruminal long-acting cyber-physical diagnostic system' prototype, which applies Internet of Things (IoT) for monitoring rumen parameters of cows. The new diagnostic system architecture includes, reticulo-ruminal bolus with pH and temperature sensors, a microcontroller, a radio transmitter and a power supply module. The system includes gateways for data collection from boluses, an MQTT (Message Queuing Telemetry Transport) broker, a web server and a database. The diagnostic system' prototype provides timely data on cow health status to the users, so they can evaluate the cow' health status and implement further actions. Therefore, the use of diagnostic system provides opportunity to increase cow productivity, longevity and to save maintenance cost of milk farms. The results of the first stage of the research are discussed in this paper.

High-yielding cow rations under intensive production conditions contribute to the development of subacute rumen acidosis (SARA), leading to pathologies such as rumenitis, laminitis, reproductive disorders, loss of productivity and reduced longevity. The aim of this work is to develop a reticulo-ruminal long-acting cyber-physical system for monitoring rumen parameters. Three scientific institutions in cooperation with two farmers conduct the research in order to create a prototype of a low-power wireless sensor network system for early diagnostic of subacute rumen acidosis of dairy cows. The new system architecture includes, reticulo-ruminal bolus with pH and temperature sensors, a microcontroller, a radio transmitter and a power supply module. The system includes a base station for data collection from boluses, an MQTT broker, a web server and a database. Data communication solution has been developed and tested in the laboratory, and micro-controllers have been selected and adapted for data processing. In addition, research is under way to create an autonomous long-term power supply system. Work shall be conducted in two directions: (a) stand-alone battery-powered electricity supply system; (b) an autonomous power supply system based on the generation of an electrostatic generator. The results of the initial stage of the research are discussed in this paper.

Introducing a LoPy device we have threefold goals: the first is to increase transmission range decreasing power consumption; the second is to decrease cost, size and power consumption of the drifter's electronic devices; the third is to have ability to control deployed surface drifters. The use of the LoPy device in 868 MHz band performing sea level Line-of-Sight radio propagation measurements was tested. These measurements confirm the usefulness of LoPy for the use in coastal marine applications.

In this paper the advanced monitoring system of multiple environmental parameters is presented. The purpose of the system is a long-term estimation of energy efficiency and sustainability for the research test stands which are made of different building materials. Construction of test stands, and placement of main sensors are presented in the first chapter. The structure of data acquisition system includes a real-time interface with sensors and a data logger that allows to acquire and log data from all sensors with fixed rate. The data logging system provides a remote access to the processing of the acquired data and carries out periodical saving at a remote FTP server using an Internet connection. The system architecture and the usage of sensors are explained in the second chapter. In the third chapter implementation of the system, different interfaces of sensors and energy measuring devices are discussed and several examples of data logger program are presented. Each data logger is reading data from analog and digital channels. Measurements can be displayed directly on a screen using WEB access or using data from FTP server. Measurements and acquired data graphical results are presented in the fourth chapter in the selected diagrams. The benefits of the developed system are presented in the conclusion.

The presented embedded configurable interface device is a feasible solution for interfacing different types of smart sensor systems and user devices. A micro-controller with dedicated I/O interface driver and a smart sensor communication driver is necessary in creating the seamless interface between end-user and smart sensors systems.

A web-based data acquisition system is proposed as a research tool of the energy efficiency monitoring project of the test stands. Basic requirements for the architecture of the data acquisition system are discussed. The architecture of the data acquisition system is proposed to provide the real-time interface with sensors, to acquire and to log data from all sensors with fixed rate, and to deliver logged data through FTP to the end-user.

U. Grunde. Non-Stationary Signal Reconstruction from Level-Crossing Samples using Akima Spline // Electronics and Electrical Engineering. - Kaunas: Technologija, 2012. - No. 1(117). - P. 9-12.The modification of the level crossing sampling algorithm is proposed in order to decrease the volume of sampled data. The reconstruction of the signal based on sampled data is discussed. The performance of the signal reconstruction based on different interpolation splines is evaluated. The evaluation of the signal recovery is based on metrics including the cross correlation coefficient, the root mean square error and the percentage root mean square difference. It is demonstrated that compression coefficient's value 10 is achievable for the cross correlation coefficient 0.92. III. 7, bibl. 5 (in English; abstracts in English and Lithuanian).

We propose an advanced signal-driven sampling method that uses the level-crossing sampling technique based on the selected signal sampling and non-uniformly distributed quantization levels. The number of the quantization levels is chosen to compress the volume of sampled data. The proposed sampling method is targeting sporadic signals. The trade between the accuracy of the recovered signals and the compression ratio is evaluated.

Adaptive level–crossing sampling based DSP systems are able to provide energy–efficient data acquisition and transmission. The proposed sampling mechanism is a generalization of the sampling with equidistantly spaced reference levels. Two different sampling implementations are offered. Simulation of the adaptive level–crossing sampling is performed to estimate the number of reference levels and evaluate the quality of signal reconstruction. The approach is targeting non–stationary and nonlinear signals using non–conventional digital signal processing methods. High correlation between input and reconstructed signal is supporting use of small number 9–16 sampling levels. Ill. 5, bibl. 13, tabl. 4 (in English; abstracts in English, Russian and Lithuanian).

The development of an asynchronous data processing system is usually based on dedicated asynchronous elements. Advanced general-purpose microprocessors have a set of features facilitating designing of an asynchronous unit. The paper presents an architecture of the system implemented on Texas Instruments MSP430 micro-controllers using a principle of the level-crossing sampling. The system is able to process input signal with maximum frequency fmax = 8 kHz using sampling level number N = 7. The proposed system is developed for non-stationary signals sampling and processing using non-conventional digital signal processing methods.

Development of asynchronous data processing system is usually based on dedicated asynchronous elements. Advanced general-purpose microprocessors have a set of features facilitating development of asynchronous data processing system. Such a system is designed for non-stationary signals using non-conventional digital signal processing methods. Implementation of the principles of the data level-crossing sampling, switching system to power reduction modes and asynchronous interaction between system units is determining asynchronous nature of the system. Paper represents architecture of the system implemented on Philips P89PLC936 micro-controller using a principle of the level-crossing sampling. The system is able to process input signal with maximum frequency f(max) = 2kHz using sampling level number N = 7.Ill. 3, bibl. 10 (in English, summaries in English, Russian and Lithuanian).

This paper presents a multimicrocomputer system for a six-legged walking robot control. The set of basic control processes are analysed and a design is obtained by partitioning the robot control system. Two different microcomputer systems are defined and developed to support the implementation of those processes.