Tallinn University of Technology

About: Tallinn University of Technology is a education organization based out in Tallinn, Estonia. It is known for research contribution in the topics: European union & Oil shale. The organization has 3688 authors who have published 10313 publications receiving 145058 citations. The organization is also known as: Tallinn Technical University & Tallinna Tehnikaülikool.

Thermoanalytical study of acetylacetonate-modified titanium(IV) isopropoxide as a precursor for TiO2 films

Abstract: Thermal decomposition of dried TiO2 gel, obtained by hydrolysing acetylacetonate-modified titanium(IV) isopropoxide, was monitored by simultaneous TG/DTA/EGA-FTIR measurements in dynamic air up to 900°C. XRD and FTIR were employed to identify the solid reaction products. Thermal degradation of the TiO2 gel consists of five distinct mass loss steps, the total mass loss being 43.8p. EGA by FTIR revealed the release of H2O below 120°C; followed by acetone, isopropyl acetate and 1-propanol around 200-300°C, and finally CO and CO2 up to 550°C. Highly exothermic reaction at 410-550°C is caused by the combustion of carbon residues. Crystalline TiO2-anatase is formed around 500°C and TiO2-rutile close to 800°C.

When gamification backfires: the impact of perceived justice on online community contributions

Abstract: While online communities may enhance firm performance, they commonly fail to retain members. To address this challenge, scholars and managers call for the use of gamification. However, despite gami...

Requirements Elicitation and Specification Using the Agent Paradigm: The Case Study of an Aircraft Turnaround Simulator

Abstract: In this paper, we describe research results arising from a technology transfer exercise on agent-oriented requirements engineering with an industry partner. We introduce two improvements to the state-of-the-art in agent-oriented requirements engineering, designed to mitigate two problems experienced by ourselves and our industry partner: (1) the lack of systematic methods for agent-oriented requirements elicitation and modelling; and (2) the lack of prescribed deliverables in agent-oriented requirements engineering. We discuss the application of our new approach to an aircraft turnaround simulator built in conjunction with our industry partner, and show how agent-oriented models can be derived and used to construct a complete requirements package. We evaluate this by having three independent people design and implement prototypes of the aircraft turnaround simulator, and comparing the three prototypes. Our evaluation indicates that our approach is effective at delivering correct, complete, and consistent requirements that satisfy the stakeholders, and can be used in a repeatable manner to produce designs and implementations. We discuss lessons learnt from applying this approach.

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

Abstract: Gait is the locomotion attained through the movement of limbs and gait analysis examines the patterns (normal/abnormal) depending on the gait cycle. It contributes to the development of various applications in the medical, security, sports, and fitness domains to improve the overall outcome. Among many available technologies, two emerging technologies that play a central role in modern day gait analysis are: A) wearable sensors which provide a convenient, efficient, and inexpensive way to collect data and B) Machine Learning Methods (MLMs) which enable high accuracy gait feature extraction for analysis. Given their prominent roles, this paper presents a review of the latest trends in gait analysis using wearable sensors and Machine Learning (ML). It explores the recent papers along with the publication details and key parameters such as sampling rates, MLMs, wearable sensors, number of sensors, and their locations. Furthermore, the paper provides recommendations for selecting a MLM, wearable sensor and its location for a specific application. Finally, it suggests some future directions for gait analysis and its applications.

Molecularly imprinted poly(meta-phenylenediamine) based QCM sensor for detecting Amoxicillin

Abstract: A chemical sensor based on molecularly imprinted polymer (MIP) and quartz crystal microbalance (QCM) to detect amoxicillin (AMO) antibiotics in aqueous samples was developed. The thin film of AMO-MIP was generated electrochemically from meta-phenylenediamine (mPD) directly on the QCM transducer. Pre-polymerization complex formation between the template (AMO) and the monomer molecules (mPD) was confirmed by a combination of computational modeling and spectroscopic studies. The electrodeposition process was carefully studied to allow for the selection of the optimal parameters for stable AMO-MIP film deposition. The AMO-MIP QCM sensor showed a significantly better sensitivity and affinity than the reference film displaying more than seven times relative adsorption capacity and a limit of detection down to 0.2 nM. Likewise, the sensor demonstrates good selectivity to the target analyte (AMO) than the other non-templated molecules and remain sensitive to the target even after a prior exposure to other interferents that may be present within the same environment. This remarkable result in the analysis of amoxicillin on QCM sensor without employing any signal amplification methodology demonstrates an important step towards the fabrication of MIP-based environmental sensor.