scholarly journals PROPOSAL OF AUTOMATED SYSTEM FOR PRESENTATION PURPOSES

Author(s):  
Róbert Rákay

The main goal of the article is to design a model of an automated system, which will be used for presentation purposes at the Department of Automation and Human Machine Interactions at the Technical university of Košice. In terms of adequate focus of the presentation, the equipment used in industrial practice was used for designed model. The theoretical part contains an overview of the technologies used for the design of equipment, selection of components and their use in design. The nextpart contains an explanation of the software part of the work and the electrical interconnection of the equipment used. The lastpart is devoted to the design of a model of an automated device in a CAD system. The article presents the results of scientific-methodological research.

Author(s):  
Tatyana A. Erina ◽  
Natalya N. Motkina

Researchers in the humanities almost always have to deal with the problem of statistical processing of results and their interpretation. This is a rather laborious and painstaking work, which can be greatly simplified through the use of multifunctional statistical criteria. Within the framework of the study related to the problem of self-design of educational and professional ac-tivities of students, the analysis of the effectiveness of the introduction of technological elements using multifunctional criteria was carried out: φ* criterion – Fisher’s angular transformation and binomial criterion m. The statistical significance of the results of the introduction at a certain stage of the technology of the workshop is revealed, which makes it possible to study and apply the ele-ments of self-management in the educational and professional activities of students. For promising purposes, it is proposed to create an automated system that implements the selection of the appropriate criterion for the problem to be solved and the verification of the statistical hypothesis put forward by the researcher.


2014 ◽  
Vol 62 (3) ◽  
pp. 571-582 ◽  
Author(s):  
J.M. Kościelny ◽  
M. Syfert

Abstract The survey presents a selection of the methods of the fault detection and isolation suitable to be useful for the diagnostics of the complex, large scale industrial processes. The paper focuses on these methods that have appropriately high level of potential applicability in industrial practice. The novelty of the paper relies on the discussion of the dependency of the level of knowledge about diagnosed process and recommended diagnostic approaches. Appropriate recommendations were given in the convenient form of the table


Author(s):  
Linda E. Cammish ◽  
Steven A. Kates

The concept of solid phase peptide synthesis introduced by Merrifield in 1963 involves elongating a peptide chain on a polymeric support via a two-step repetitive process: removal of the Nα-protecting group and coupling of the next incoming amino acid. A second feature of the solid phase technique is that reagents are added in large excesses which can be removed by simple filtration and washing. Since these operations occur in a single reaction vessel, the entire process is amenable to automation. Essential requirements for a fully automatic synthesizer include a set of solvent and reagent reservoirs, as well as a suitable reaction vessel to contain the solid support and enable mixing with solvents and reagents. Additionally, a system is required for selection of specific solvents and reagents with accurate measurement for delivery to and removal from the reaction vessel, and a programmer to facilitate these automatic operations is necessary. The current commercially available instruments offer a variety of features in terms of their scale (15 mg to 5 kg of resin), chemical compatibility with 9-fluorenylmethyloxycarbonyl/tert-butyl (Fmoc/tBu) and tert-butyloxycarbonyl/ benzyl (Boc/Bzl)-based methods, software (reaction monitoring and feedback control), and flexibility (additional washing and multiple activation strategies). In addition, certain instruments are better suited for the synthesis of more complex peptides such as cyclic, phosphorylated, and glycosylated sequences while others possess the ability to assemble a large number of peptide sequences. The selection of an instrument is dependent on the requirements and demands of an individual laboratory. This chapter will describe the features of the currently available systems. As the field of solid phase synthesis evolved, manufacturers designed systems based on the synergy between chemistry and engineering. A key component to an instrument is the handling of amino acids and their subsequent activation to couple to a polymeric support. The goal of an automated system is to duplicate conditions that provide stability to reactive species that might decompose. Standard protocols for automated synthesis incorporate carbodiimide, phosphonium, and aminium/uronium reagents, preformed active esters, and acid fluorides. For further details on coupling methods, see Chapter 3. A second issue related to coupling chemistry is the time required to dissolve an amino acid and store this solution.


2019 ◽  
Vol 11 (22) ◽  
pp. 6284
Author(s):  
Yuri van Engelshoven ◽  
Pingping Wen ◽  
Maarten Bakker ◽  
Ruud Balkenende ◽  
Peter Rem

An innovative route for plastics recycling is proposed, based on a combination of a logarithmic sorting process and colour plus high-resolution near-infrared (NIR) sensors. Although counterintuitive, it is shown that such a technology could sort clean flakes from rigid packaging waste into a very large number of different plastic grades with modest sorter capacity, provided that the chosen sensor is able to differentiate correctly between any two grades of plastics in the waste. Tests with high-resolution NIR on single pixels of transparent flakes from different types and brands of packaging show that this is indeed the case for a selection of 20 different packaging items bought from shops. Moreover, the results seem to indicate, in line with previous research, that high-resolution NIR data can be linked to important physical plastic properties like the melt flow viscosity and tensile strength. The attraction of deep sorting of waste plastics with relatively cheap sensors and modest sorter capacity is that the present industrial practice of tuning plastic grades to specific applications could coexist with commercial high-grade recycling at high levels of circularity and low carbon footprint. Therefore, advanced recycling technology is likely to be a societal alternative to phasing out plastics for rigid applications.


Author(s):  
Ranadhir Ghosh ◽  
◽  
Moumita Ghosh ◽  
John Yearwood

Advances in machine intelligence have provided a whole new window of opportunities in medical research. Building a fully automated computer aided diagnostic system for digital mammograms is just one of them. Given some success with semi-automated systems earlier, a fully automated CAD system is just another step forward. A proper combination of a feature selection model and a classifier for those areas of a mammogram marked by radiologists has been very successful. However a fully automated system with only two modules is a time consuming process as the suspicious areas in a mammogram can be quite small when compared to the whole image. Thus an additional clustering process can help in reducing the time complexity of the overall process. In this paper we propose a fast clustering process to identify suspicious areas. Another novelty of this paper is a multi-category feature selection approach. The choice of features to represent the patterns affects several aspects of pattern recognition problems such as accuracy, required learning time and the required number of samples. In this paper we propose a hybrid canonical based feature extraction technique as a combination of an evolutionary algorithm based classifier with a feed forward MLP model.


1983 ◽  
Vol 4 (6) ◽  
pp. 936-945
Author(s):  
M.J. McClelland
Keyword(s):  

2016 ◽  
Author(s):  
Duncan E. Crombie ◽  
Maciej Daniszewski ◽  
Helena H. Liang ◽  
Tejal Kulkarni ◽  
Fan Li ◽  
...  

AbstractPatient-specific induced pluripotent stem cells (iPSCs) have tremendous potential for development of regenerative medicine, disease modelling and drug discovery. However, the processes of reprogramming, maintenance and differentiation are labour intensive and subject to inter-technician variability. To address these issues, we established and optimised protocols to allow for the automated maintenance of reprogrammed somatic cells into iPSCs to enable the large-scale culture and passaging of human pluripotent stem cells (PSCs) using a customized TECAN Freedom EVO. Generation of iPSCs was performed offline by nucleofection followed by selection of TRA-1-60 positive cells using a Miltenyi MultiMACS24 Separator. Pluripotency markers were assessed to confirm pluripotency of the generated iPSCs. Passaging was performed using an enzyme-free dissociation method. Proof of concept of differentiation was obtained by differentiating human PSCs into cells of the retinal lineage. Key advantages of this automated approach are the ability to increase sample size, reduce variability during reprogramming or differentiation, and enable medium to high-throughput analysis of human PSCs and derivatives. These techniques will become increasingly important with the emergence of clinical trials using stem cells.


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