In recent years, due to changing the human lifestyle, number of sport trainers has been increased. The conventional classifiers as Naive Bayes (NB), Decision Trees (DT) and Convolutional Neural Networks (CNNs) can be used in this domain recognize count sports activities subjects provide them qualified feedback. This paper uses literature studies selected activities, namely squats, pull-ups dips dataset based on three UWB sensors with additional inertial data, which contains reduced data set...

The aim of this study was to develop a physical activity advisory system supporting the correct implementation sport exercises using inertial sensors and machine learning algorithms. Specifically, three mobile (tags), six stationary anchors system-controlling server (gateway) were employed for 15 scenarios series subsequent activities, namely squats, pull-ups dips. proposed solution consists two modules: an recognition module (ARM) repetition-counting (RCM). former is responsible extracting...

Nowadays the sensor-based human activity recognition is a key issue in field of physical exercises' recognition. The purpose this paper to recognise exercise sports, such as squats, pull-ups and dips, using dataset based on three ultra-wideband (UWB) sensors with additional inertial data deep learning approach order achieve an appropriate rate sports exercises reduced computational effort. Firstly, dataset, containing 273 samples 215 956 plus 2024 input signals acquired during breaks, was...

Nowadays, achieving the objectives of sustainable development (SD) within a manufacturing company, through introducing and integrating sustainability into strategy, is key parameter in gaining competitive advantage market. The objective this study was to develop decision-tree based methodology facilitate SD assessment which consists five main components: (1) Determination indicators on literature analysis, (2) Using Analytic Hierarchy Process (AHP) method determines priority criteria, (3)...

Given the use of high-strength steels to achieve lightweight construction goals, conventional shear-cutting processes are reaching their limits. Therefore, so-called high-speed impact cutting (HSIC) is used required cut surface qualities. A new machine concept consisting linear motors and an mass presented investigate HSIC. It allows all relevant parameters be flexibly adjusted measured. The design test bench, as well mechanism for coupling mass, described. To validate theoretically...

The paper deals with the proposed performance index of [1], which can assess command action a servo drive in terms parameterization comparison model. By reversing tuning rule, model be parameterized without any priori knowledge, drawback low significance for some controller detuning directions. is examined further regarding practical online usage as running production process here. Signal sampling considered sample time and quantization. Excitation independence basic goal also examined. For...

In order to increase the Sustainable Development (SD) level in enterprises and obtain status of Manufacturer (SM), it is necessary be fully acquainted with this area. The main focus article (1) design a Manufacturing Knowledge map for SM (2) an evaluation approach on actual case study from metal industry.

The paper points out a minimum variance based performance index for restricted controller structure, known in literature and applied process industries. theory is introduced briefly. As core of the adaption to topic speed control electromechanical drives shown. Simulational experimental results various single dual-mass systems show good sensitivity relevant parameters. main drawback, prefers tough settings.

Vibration excitation of the machine structures caused by high speed drives often leads to production inaccuracies. By coupling two opposed driving and corporate acting linear in one drive train static dynamic properties can be improved. This arrangement offers possibility distribute forces between both drives. Furthermore impulse jerk feedback into structure minimized. In addition de-and acceleration energy saved element. order guarantee requirement for accuracy synchronous tracking as well...

design, development methodology, feed axes, electromechanical drives, coupled linear drive F igure 1. 5-axis machining center with typical drives (left -ball screw; right -linear motor) 2. Overview about all common single and multi mechanism

Supervised learning as a sub-discipline of machine enables the recognition correlations between input variables (features) and associated outputs (classes) application these to previously unknown data sets. In addition typical areas such speech image recognition, fields applications are also being developed in sports fitness sector. The purpose this work was implement workflow for automated exercises Matlab® programming environment carry out comparison different model structures. First,...

When an unexpected crisis occurs, managers often seek such scientific solutions that can help them to take proactive actions before any threat arises. Crisis be treated as increase in the cost of energy consumption, employee rotation, lack access technology on account sanctions. In this article, a system is presented aid decision-making when implementing additive manufacturing (AM) enterprise. This may necessary reduce production process stages, minimize material waste, and optimize costs...