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In this paper, the influence of current sensors of a NILM system is investigated. The current sensors of a classical inductive current transformer and a Rogowski coil are compared. To evaluate the actual influence on the NILM, measurements are performed with two measuring systems with different current sensors. With these measuring systems, 20 different consumers with 50 switch-on and switch-off cycles are measured in parallel. Besides, the influence of the sampling rate on the results of the NILM classification is evaluated. The classification is carried out with features normalized to the performance and without phase information, so only the signal waveform is used to differentiate the devices.
Thermofluorimetric, magnetic and lateral flow aptamer based assays for point of care applications
(2020)
The assessment of views on ageing: a review of self-report measures and innovative extensions
(2020)
Machine learning applications, like machine condition monitoring, predictive maintenance, and others, become a state of the art in Industry 4.0. One of many machine learning algorithms are decision trees for the decision-making process. A new approach for creating distributed decision trees, called node based parallelization, is presented. It allows data to be classified through a network of industrial devices. Each industrial device is responsible for a single classification rule. Also, nodes that react incorrectly, for example, due to an attack, are taken into account using a variety of methods to remain the decision-making process correct and robust.
Notions of "coronavirus" from the perspective of a clinical immunologist and medical historian
(2020)
Adding evidence of the effects of treatments into relevant Wikipedia pages: a randomised trial
(2020)
Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review
(2020)
Prostate segmentation is an essential part of brachytherapy treatment planning, in order to perform the procedure with required accuracy. Nowadays, segmentation of the prostate is still carried out manually during the planning steps, therefore it is a process that can be tedious, time-consuming and prone to inter-observer error. Much effort has been made in development of an computer-based algorithm that can perform prostate segmentation automatically, but only with appearance of deep learning methods, more promising algorithms emerged. So far, convolutional neural networks demonstrated excellent results in fully automatic prostate segmentation. Development of such an algorithm and training an efficient deep learning model is a challenging task, and requires a lot of optimizations. The objective of this study is development and evaluation of an algorithm for image processing based on deep learning methods that can perform fully automatic segmentation of the prostate gland in transrectal ultrasound images. Additionally, we made an overview of the development process, along with challenges and their solutions and demonstrated an algorithm implemented using Python and Tensorflow library, consisted of preprocessing, augmentation, training and validation, postprocessing and validation steps, which is able to successfully carry out fully automatic prostate segmentation with expert level of accuracy. Finally, we presented our implementation of fully convolutional neural network model and results that are encouraging to continue with model improvements and potential clinical application.
This paper includes a brief summary of the theoretical background on onboarding and links the findings to modern trends. To answer the questions about expectations and needs of young employees survey results of a study conducted with over 400 participants between the ages of 18 and 27 will be evaluated. The results show that onboarding practices are highly expected by young adults and that integration is of very high importance for the age group. According to the survey results, onboarding programs can also help organizations improve their attractiveness as an employer. Furthermore, the open-ended questions of the survey provide detailed information on which specific measures should be included in an onboarding process. With the use of theoretical knowledge, the findings from the survey and results of a survey with department heads of the company, an onboarding process for Bürstner GmbH & Co.KG was developed. The plan includes specific steps from before the first working day, to the first weeks in the company until the end of the probationary period. Measures include a new employee profile, an initial training plan, a learning management system based online course and more. Through a transferability check of the process, it is concluded that many aspects can be transferred to other organizations; subject to adaptions. In the future further studies and employee feedback examining the onboarding measures, will have to be carried out to evaluate the effectiveness of the developed onboarding process and provide more insight into current trends.
This thesis proposes the adoption of renewable energies as a means to foster economicdiversification in oil and gas dependent rentier states. Surprisingly, oil and gas endowment does not always imply wealth and prosperity, mirroring the on-going debate whether natural resource dependent countries are blessed or cursed by their resource abundance.
This thesis seeks to bridge this gap by focussing on rentier states and the question whether rentier states are cursed or blessed. Based on the example of Oman, the proposed approach will be closely assessed. Additionally, the Sultanate’s challenges stemming from natural resource dependence and its preparedness for a post-oil era will be investigated.
Moreover, this thesis will analyze whether a paradigm shift in Oman’s energy sector can mitigate prevailing challenges and support the country’s economic diversification.
These three research questions will be answered through surveying and analyzing literature and data pertinent to the research topic. Findings indicate that rentier states tend to be more vulnerable to the resource curse and the impending fossil fuel depletion as it could cause public outcry and political and economic turmoil. Oman as a rentier state faces a grim post-oil era, fueled by many challenges, including dwindling oil and financial reserves, productivity losses driven by labor market distortions and rapid population growth.
Finally, findings suggest that the combination of economic and energy diversification can have strong positive effects on the Omani economy, such as freeing oil and gas reserves for export revenues, job creation, and private sector strengthening. However, Oman’s renewable energy industry is still in its infancy and faces various challenges, ranging from absent policies and adequate financing to heavily subsidized fossil fuels. As of now, the proposed approach is overly ambitious as the installed renewable energy capacity is too low to create significant employment opportunities or to free oil and gas for export purposes. However, heightened volatilities and economic shocks in recent years were eyeopening for the Omani government and have resulted in stronger efforts to enforce economic development plans. Similarly, the political transition after the death of Sultan Qaboos injected new impetus into Oman’s economy, which will facilitate the diversification of economic bases.
Multidimensionales Service Prototyping : Service Innovationen kreieren, kommunizieren und bewerten
(2020)
For industrial equipment companies, it is a challenge to fight commoditization of products and product-attached services, and to manage the digital transformation.
This report identifies the most relevant business challenges faced by our members. TSIA then translates the challenges into the core capabilities that services organizations of industrial equipment manufacturers will need to embrace to succeed in 2020 and beyond
Onsite deployments of field personnel are highly restricted for equipment and device manufacturers as a result of the COVID-19 crisis. Oftentimes, remote support is the only way to help customers and, increasingly, customer support is provided by a virtual organization.
We now find ourselves in an environment where customers are more accepting of remote connections of their equipment and the use of cloud services to replace onsite deployments for break-fix and maintenance services. These significant shifts in the customer relationship will stay in place well beyond the crisis and are accelerating the digital transformation of vendors and customers.
Detection of Acute Pulmonary Embolism by Electrical Impedance Tomography and Saline Bolus Injection
(2020)
Corrosion is a process that needs to be viewed carefully in context with the examined metals or alloys as well as the ambient conditions (e.g. electrolyte composition). Additive manufacturing processes with their formation a of microscale melt and rapid solidification of that melt can lead to microstructures that can differ extremely from conventional manufacturing processes in terms of their homogeneity and distribution of (alloying) elements. Therefore, process–related local inclusions can be formed with higher amounts of certain alloying elements than their surroundings which result in different chemical potentials. Corrosion experiments performed with additive manufactured parts (e.g. made of pure titanium or titanium alloys) show the release of potentially unwanted alloy constituents, which in turn can affect the long–term behavior of the part negatively. As part of the investigations it is shown what kind of influence the additive manufacturing process can have on such built parts and how subsequently applied treatments like machining or heat treatment can alter the properties of the material and produced component. Different methods like metallography or potentiodynamic polarization with subsequent mass spectrometric analyses were eventually performed to investigate the mentioned material properties and behaviour.
Additive Manufacturing is a highly innovative and pioneering process that offers among others a high degree of flexibility and complexity in terms of the part design or the possibility to integrate various functions in a single part. Therefore, it possesses great chances to establish itself as a significant method within the entire field of manufacturing processes in the near future. The used materials and their thermodynamic behavior determine the resulting properties of parts built in this way, but also by the generated microstructure. Regarding the whole process with its formation of a microscale melt and ongoing rapid solidification a variety of different microstructures can be created, which in turn can affect the mechanical as well as chemical properties and the long–term behavior to a great extent. Furthermore, it can be seen that different metals and alloys in combination with the process conditions can result in different and/or fluctuating qualities of the manufactured components. Nonetheless, additive manufacturing can lead to a noticeably enhancement of materials or products that were manufactured and processed with traditional methods so far and open new possibilities and perspectives in the research and development sector. However, this means that it is crucial to adapt currently used tests and methods to the new properties and manufacturing process.
EIT Based Time Constant Analysis to Determine Different Types of Patients in COVID-19 Pneumonia
(2020)
NeuroPricing für Events
(2020)
With the increasing popularity of online learning, many education providers increase their portfolio of educational courses. This analysis looks at existing literature and conducts two studies regarding the willingness to pay (WTP) for online and offline courses.
The first study consists of a van Westendorp price sensitivity meter (PSM) and a Gabor-Granger pricing method. The surveys are conducted to find differences in consumers´ WTP for online and offline courses and potential causes for the differences. The second study consist of short analogue case studies of services in the online and offline environment and factors that influence consumers´ WTP, supported by a literature review in the front of this analysis.
The results are that the WTP for offline courses slightly exceeds the WTP for online courses and that a multitude of factors, with positive, negative, neutral or ambiguous effects, play a role in consumers´ WTP for online and offline services.
The results and implications from this analysis are useful for service providers, that look to adapt their prices to the consumers´ WTP for services in online and offline environments. In particular for educational service providers and service providers that are unsure how to price online services in comparison to offline services.