scholarly journals Automation in small labs

2021 ◽  
Vol 45 (4-5) ◽  
pp. 237-240
Author(s):  
Rainer Heidrich

Abstract Objectives The following report describes the development and implementation of a small-lab automation solution for small hospitals. Methods It uses a new generation of collaborative robots instead of the traditional laboratory automation lines with their input and output units and connected analyzers. After the Proof of Concept during fall 2018, both a centrifuge and several routine analyzers were integrated. Results The run-up phase ended after successful test operations in continuous mode in 2019. Routine operations were launched in October 2020 in a MVZ routine lab after a delay caused by the pandemic. Conclusions Apart from the direct cost savings for night duty or compensation for the lack of personnel, the mentioned solution delivers a significant upgrading of the laboratory technicians’ activities and an improvement in their working conditions.

2019 ◽  
Author(s):  
Oscar Saborío-Romano ◽  
Ali Bidadfar ◽  
Jayachandra Naidu Sakamuri ◽  
Ömer Göksu ◽  
Nicolaos Antonio Cutululis

Diode rectifiers (DRs) have been recently suggested as a viable alternative for connecting offshore wind farms (OWFs) to HVdc, eliciting growing interest from both industry and academia. However, energisation of DR-connected OWFs is not straightforward. The present study constitutes a proof of concept of a novel energisation method for DR-connected OWFs, in which auxiliary power is provided from the shore through the HVdc link and the dc bus bar of one or more WTs. The proposed method provides an alternative with minimal additional hardware, which can be easily extended to more WTs in the OWF, increasing reliability by providing redundancy. The study includes coinciding auxiliary loads with active and reactive power components and a semi-aggregated OWF model, in which every WT is individually represented in the string containing the energising WT. Two additional sequences of simulation events are considered following the initial energisation sequence. Such sequences comprise wind power taking over the provision of the auxiliary power and the run-up to maximum (available) power production. The simulation results indicate that the proposed method is a suitable alternative for energising OWFs connected to HVdc via DRs.<br><br>The manuscript has been submitted to IEEE Transactions on Power Delivery.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Hai-Kun Wang ◽  
Yi Cheng ◽  
Ke Song

The remaining useful life estimation is a key technology in prognostics and health management (PHM) systems for a new generation of aircraft engines. With the increase in massive monitoring data, it brings new opportunities to improve the prediction from the perspective of deep learning. Therefore, we propose a novel joint deep learning architecture that is composed of two main parts: the transformer encoder, which uses scaled dot-product attention to extract dependencies across distances in time series, and the temporal convolution neural network (TCNN), which is constructed to fix the insensitivity of the self-attention mechanism to local features. Both parts are jointly trained within a regression module, which implies that the proposed approach differs from traditional ensemble learning models. It is applied on the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) dataset from the Prognostics Center of Excellence at NASA Ames, and satisfactory results are obtained, especially under complex working conditions.


2019 ◽  
Vol 14 (3) ◽  
pp. 399-414
Author(s):  
Kelly Nisbet ◽  
Michel Généreux ◽  
Blake Anderson ◽  
Victor Kuperman

Abstract This paper introduces a freely available and easy to use Java application for the collection and recording of Cloze probability ratings. Clozapp presents participants with text fragments of the researchers’ choice and collects guesses regarding upcoming words. It can also collect basic demographic information about participants. Available modes of data collection include elicitation of responses to a limited number of omitted words in a text or to all words in a text. Clozeapp can be customized to present instructions and experimental stimuli in any given language and to collect multiple types of demographic data. This paper presents the application by detailing the states and actions available, as well as descriptions of how to customize the app to fit different experimental needs including possible input and output details. The application manual is provided. As a proof of concept, we used Clozapp to conduct a replication study of two existing collections of Cloze probability norms. The Clozapp norms showed strong reliable correlations (r > 0.7) with both existing data sets, suggesting a high convergence between modes of data collection. The application provides an efficient and customizable way of collecting predictability norms for language research.


2018 ◽  
Vol 8 (2) ◽  
pp. 355-358
Author(s):  
Petronela-Ramona Iacobuţe

Abstract Those who work in today’s theatre are extremely connected to reality. Everything is alive, in a constant change. Many artistic themes are carefully documented from reality, because documentary theatre is, in fact, a mirror of contemporary society. At the beginning of the 21st century, a new generation of theatre directors appeared in Romania, some of them very promising. They did not wait for celebrity and recognition to come get them, but instead they tried to find answers to the Romanian theatre of the future. And, it seems that a possible response was the building of the dramAcum movement. Among the founding artists of the dramAcum movement, the most active is Gianina Cărbunariu, director and playwright. The latest show directed by Gianina Carbunariu, Work in progress, a staging on the changing working conditions well documented from real cases, premiered in 2018.


2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Donka Nikolova ◽  
Marinella Grudeva

Modern society requires medical schools to prepare a new generation of healthcare professionals who possess the knowledge, the skills and the competencies to adequately and quickly adapt to the changes in public health and labor market dynamics. In the transition toward the establishment of a new educational paradigm, an emphasis is placed on the purposeful, well-planned and organized individual work of the students, which is accepted and considered as an effective means for the formation of their professional competence. As such, self-employment increases choice, increases adaptability to changing living and working conditions, makes people more social, more mobile, more competitive and more motivated.


Author(s):  
Peter A. Montgomery ◽  
Rick Burdette ◽  
Brian Krupp

Arnold Engineering Development Center (AEDC) is currently improving its test facilities as part of its Test Operations Modernization & Integration Project (TOMIP). The challenge is to apply control system improvements, achieve control room consolidation, and provide operator training for complex test facilities without negatively impacting ongoing test projects. The TOMIP approach has been to target specific subsystems among all the AEDC test cells, rather than focusing on all the subsystems of a specific set of test cells. This makes it possible to minimize downtime and maximize cost savings. For each targeted subsystem, requirements are identified and hardware and software solutions are designed. These solutions are then validated through the use of models and simulations in a development/training area using identical hardware and software. Upon completion of this validation, the hardware is installed in the field and connected to the existing hardware for a complete checkout of the system. This paper discusses the creation of this development area, its communication architecture, and the real-time model and simulation constructed for this project. Furthermore, the checkout procedure followed, and the application of the system to the coding and testing of new programmable logic controllers (PLCs) for the J1 and J2 turbine engine test facilities will be discussed.


1994 ◽  
Vol 116 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Rex T. Shea ◽  
David C. Viano

An analytical method was developed and tested using several mini-sled and Hyge sled tests to calculate the planar trajectory of a Hybrid III dummy head. Aimed at expediting the Hybrid III test analyses, it may provide an opportunity for cost savings through reduced hardware and manpower on film analyses. Transformation from the moving coordinate to the laboratory coordinate is based on the angular positions integrated from the derived angular accelerations. Gravitational correction of the linear accelerometers was found to be insignificant. The computed head trajectories were compared to the ones obtained from the high speed film images. Accuracy of the calculated head trajectory relies heavily on the accuracy of the computed angular acceleration. Strain-gaged accelerometers are not dependable at all times during an impact and an ill-behaved signal for a very short period may create a significant drift in computed displacement due to double integrations. Accuracy of the currently available accelerometers is not high enough for an angular displacement calculation. A new generation of accelerometers with higher accuracy, or an angular velocity sensor may provide more accurate angular displacement for trajectory analyses. The redundancy of the in-line accelerations helps improve the isolation of erroneous outputs and improve accuracy of the procedure.


2021 ◽  
Vol 17 (3) ◽  
pp. 1-25
Author(s):  
Nico Mexis ◽  
Nikolaos Athanasios Anagnostopoulos ◽  
Shuai Chen ◽  
Jan Bambach ◽  
Tolga Arul ◽  
...  

In recent years, a new generation of the Internet of Things (IoT 2.0) is emerging, based on artificial intelligence, the blockchain technology, machine learning, and the constant consolidation of pre-existing systems and subsystems into larger systems. In this work, we construct and examine a proof-of-concept prototype of such a system of systems, which consists of heterogeneous commercial off-the-shelf components, and utilises diverse communication protocols. We recognise the inherent need for lightweight security in this context, and address it by employing a low-cost state-of-the-art security solution. Our solution is based on a novel hardware and software co-engineering paradigm, utilising well-known software-based cryptographic algorithms, in order to maximise the security potential of the hardware security primitive (a Physical Unclonable Function) that is used as a security anchor. The performance of the proposed security solution is evaluated, proving its suitability even for real-time applications. Additionally, the Dolev-Yao attacker model is considered in order to assess the resilience of our solution towards attacks against the confidentiality, integrity, and availability of the examined system of systems. In this way, it is confirmed that the proposed solution is able to address the emerging security challenges of the oncoming era of systems of systems.


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