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PL
Przedstawiono charakterystykę warstwy wodnej kondensatu parogazu pochodzącego z retorty suchej destylacji drewna podczas produkcji węgla drzewnego. Właściwości antyoksydacyjne i redukujące oznaczono metodami DPPH, FRAP i ABTS, a całkowitą zawartość polifenoli metodą FCR. Aromat preparatu oceniono organoleptycznie, zawartość całkowitego węgla organicznego (OWO) określono na podstawie wyników analiz TOC-LCSH/CSN, a zidentyfikowane składniki preparatu oznaczono za pomocą GC-MS. Badania metodami DPPH, FRAP i ABTS wykazały, że kondensat cechuje znaczny potencjał antyoksydacyjny i redukcyjny. Zawartość związków fenolowych w kondensacie mieści się w zakresie 800-900 mg/dm³, a zawartość całkowitego węgla organicznego wynosi 40 g/dm³. Zapach określono jako przyjemny, charakterystyczny dla wyrobów wędzonych.
EN
The aq. layer of the vapour-gas condensate obtained from the dry wood distillation retort during charcoal production was analyzed for antioxidant and reducing properties by DPPH, FRAP and ABTS methods, and total polyphenol content by FCR. The total organic carbon (TOC) content was detd. and the components of the formulation were identified by GC-MS. The condensate showed significant antioxidant and reducing potential. The content of phenolic compds. in the condensate was in the range of 800-900 mg/L, and the total organic carbon content was 40 g/L.
EN
In this paper, a mini-crane control system using an exoskeleton based on programmable logic technology is presented. The first stage was to identify the parameters of the mini-crane and exoskeleton sub-assemblies. Then, individual crane and exoskeleton control subsystems were designed based on cascade regulation. The final stage was to connect these subsystems into the master-slave control system using the manipulator’s kinematics equations. Parallel processing was used to minimize delays in the control system. Analysis of the results showed that the difference between the set and measured crane position was small.
EN
In recent years, numerous Polish cities and municipalities have become involved in the creation of bike-sharing systems. Although the contribution of bike-sharing to creating sustainable transport caused some controversy in the literature, the positive role of cycling in promoting low-emission mobility and a healthy lifestyle is widely acknowledged. As part of the European Union’s sustainable transport agenda, some Polish local governments have obtained funding from structural funds for the implementation of bicycle-sharing schemes. This article presents an overview of selected systems, as well as a preliminary analysis of their users’ activity based on data obtained through a Web API. Although the scope of the data was limited in time due to the shutdown of the systems caused by the COVID-19 pandemic shortly after their spring reactivation, some patterns could be observed. In particular, users activity was more evenly distributed over time in larger cities (over 300 thousand of residents), whereas in smaller cities alternating periods of high and low activity was observed.
EN
Bike-sharing systems, also known as public bicycles, are among the most dynamically developing mobility solutions in contemporary cities. In the past decade, numerous Polish cities hoping to increase the modal share of cycling have also adopted bike-sharing. Such systems continuously register user movements through installed sensors. The resulting database allows a highly detailed representation of this segment of urban mobility. This article illustrates how a database accessed via a Web API (Web Application Programming Interface) could be used to investigate the spatial distribution of trips, using the case study of Poznań, the fifth-largest city in Poland. Using geographical information systems, we identify the hot spots of bike-sharing as well as areas with low usage. The research procedure outlined in the paper provides knowledge that allows better responding to users’ needs.
5
Content available remote Future Graduate Salaries Prediction Model Based On Recurrent Neural Network
EN
Prediction models are widely applied in several fields. In this study we present a discussion on using Recurrent Neural Network as predictor for salaries of future graduates. The model is based on feature analysis which leads to input values of the predictor. We have analyzed several compositions and ideas. As a result we have selected Recurrent Neural Network to be the most accurate. Presented results confirm this selection and show high precision.
6
Content available Bilateral teleoperation system for a mini crane
EN
In this paper, two automatic mini-crane control systems have been compared; utilizing feedback as well as both feedback and feedforward structures. The proposed control systems were implemented in a Master-Slave system to provide intuitive control for a mini-crane by human muscles. The control systems that have been designed were tested on constructions with similar structures i.e. an upper limb exoskeleton and a mini-crane with two joints, but using different actuation systems. The mini-crane had hydraulic actuators, whereas the exoskeleton was equipped with electrical actuators.
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