Search results for "Train"
showing 10 items of 4562 documents
A Domain Imbedding Method with Distributed Lagrange Multipliers for Acoustic Scattering Problems
2003
The numerical computation of acoustic scattering by bounded twodimensional obstacles is considered. A domain imbedding method with Lagrange multipliers is introduced for the solution of the Helmholtz equation with a second-order absorbing boundary condition. Distributed Lagrange multipliers are used to enforce the Dirichlet boundary condition on the scatterer. The saddle-point problem arising from the conforming finite element discretization is iteratively solved by the GMRES method with a block triangular preconditioner. Numerical experiments are performed with a disc and a semi-open cavity as scatterers.
Complete genome sequence of the methanogenic neotype strain Methanobacterium formicicum MF(T.).
2014
The neotype strain Methanobacterium formicicum MFT (DSM1535), a hydrogenotrophic methanogenic Archaeon, was isolated from a domestic sewage sludge digestor in Urbana (IL, USA). Here, the complete genome sequence of the methanogen is reported. The genome is 2,478,074 bp in size, featuring a GC content of 41.23%. M. formicicum MFT encodes several genes predicted to be involved in adaptation to abiotic stress such as high osmolarity. The strain MFT is of biotechnological importance since M. formicicum strains are often found in production-scale biogas plants and it is suggested as a starter culture for the anaerobic biomethanation process. (C) 2014 Elsevier B.V. All rights reserved.
Przejawy finansyzacji na rynku kredytów dla MSP
2016
Małe i średnie przedsiębiorstwa (MSP) odgrywają od lat kluczową rolę w gospodarkach poszczególnych państw i regionów. Stanowią ponad 99% przedsiębiorstw niefinansowych. O ich doniosłym znaczeniu świadczy nie tylko dominująca pozycja pod względem liczby podmiotów, ale również udział w kreowaniu miejsc pracy czy dochodu narodowego. Kluczowym czynnikiem siły i sukcesu MSP jest dostęp do środków finansowych. Badania wskazują, że MSP napotykają większe trudności niż duże firmy w dostępie do źródeł finansowania. W finansowanie swojej działalności, zwłaszcza rozwojowej, MSP angażują mniej środków finansowych pochodzenia zewnętrznego, szczególnie bankowego. Problematykę tę uznać należy za istotną d…
Simultaneous optimization of harvest schedule and measurement strategy
2013
In many recent studies, the value of forest inventory information in the harvest scheduling has been examined. Usually only the profitability of measuring simultaneously all the stands in the area is examined. Yet, it may be more profitable to concentrate the measurement efforts to some subset of them. In this paper, the authors demonstrate that stochastic optimization can be used for defining the optimal measurement strategy simultaneously with the harvest decisions. The results show that without end-inventory constraints, it was most profitable to measure the stands that were just below the medium age. Measuring the oldest stands was not profitable at all. It turned out to be profitable t…
Gear classification and fault detection using a diffusion map framework
2015
This article proposes a system health monitoring approach that detects abnormal behavior of machines. Diffusion map is used to reduce the dimensionality of training data, which facilitates the classification of newly arriving measurements. The new measurements are handled with Nyström extension. The method is trained and tested with real gear monitoring data from several windmill parks. A machine health index is proposed, showing that data recordings can be classified as working or failing using dimensionality reduction and warning levels in the low dimensional space. The proposed approach can be used with any system that produces high-dimensional measurement data. peerReviewed
Comparing the cost-efficiency of CoAP and HTTP in Web of Things applications
2014
Abstract Constrained Application Protocol (CoAP) has been introduced as a simpler alternative to the Hypertext Transfer Protocol (HTTP) for connecting constrained smart objects to the Web. The adoption of the protocol depends on its relative advantage, and the cost–benefit associated with the use of the protocol is a significant factor affecting a protocol adoption decision. This paper aims at deepening the understanding of the cost–benefits of CoAP and identifies the application scenarios where its use is likely to be economically justifiable. The paper analyzes the costs of using CoAP and HTTP in the Web of Things (WoT) applications, by identifying the components of the total cost of owne…
Activity Theory as a Lens to Identify Challenges in Surgical Skills Training at Hospital Work Environment
2015
In this paper the concepts from activity theory (AT) are applied for identifying the challenges and contradictions emerging in surgical residentâs curriculum based training at hospital. AT is utilised as a lens to identify contradictions that cause disturbances, problems, ruptures, breakdowns, and clashes which emerge while surgical skills training is implemented in a new way at hospital. We especially aim at finding solutions for contradictions which emerge while the new and old working culture are confronted and the workers are required to balance themselves between the patient care demands and workplace learning requirements. We are using the conceptual theoretical approach to describe…
Convolutional neural networks in skin cancer detection using spatial and spectral domain
2019
Skin cancers are world wide deathly health problem, where significant life and cost savings could be achieved if detection of cancer can be done in early phase. Hypespectral imaging is prominent tool for non-invasive screening. In this study we compare how use of both spectral and spatial domain increase classification performance of convolutional neural networks. We compare five different neural network architectures for real patient data. Our models gain same or slightly better positive predictive value as clinicians. Towards more general and reliable model more data is needed and collection of training data should be systematic. peerReviewed
Does the Learning Channel Really Matter? - Insights from Commercial Online ICT-training
2017
Evolving ICT has provided new options to participate to training. Online participation has been found to be cost effective, helping people to deal with the time and cost pressures they are facing on their jobs. Previous studies conducted in higher education sector indicates that student satisfaction or learning outcomes does not differ between online and classroom participants. However, little is known what is the situation in commercial ICT-training. This paper studied course feedbacks from courses having both online and classroom participants of a commercial ICT-training provider. Results revealed that the learning channel has no effect on satisfaction, perceived teacher’s substance and t…
Recommending Serendipitous Items using Transfer Learning
2018
Most recommender algorithms are designed to suggest relevant items, but suggesting these items does not always result in user satisfaction. Therefore, the efforts in recommender systems recently shifted towards serendipity, but generating serendipitous recommendations is difficult due to the lack of training data. To the best of our knowledge, there are many large datasets containing relevance scores (relevance oriented) and only one publicly available dataset containing a relatively small number of serendipity scores (serendipity oriented). This limits the learning capabilities of serendipity oriented algorithms. Therefore, in the absence of any known deep learning algorithms for recommend…