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Operational Planning of Electrical Power Systems and Smart Grids
Published in B K Bala, Energy Systems Modeling and Policy Analysis, 2022
Digital communication on a smart grid occurs over a variety of devices, technologies and protocols that include wired and wireless telephone, voice and dispatch radio, fiber optics, power-line carriers, and satellite. SCADA software allows for dynamic grid management that involves monitoring the required number of control points. To be fully efficient and operational, monitoring is conducted for every power line and piece of equipment in the distribution system, in addition to allowing consumers to monitor and control their own devices and usage. This results in a considerable amount of data to be organized, analyzed and used for both manual and automated decision software that are classified into two basic categories: decentralized and back-office. Decentralized software is necessary to handle the magnitude of devices and data collection and computation, which precludes a centralized data collection solution. Back-office software is part of a utility’s line of business software solutions necessary to conduct the business of the organization. The net effect on these solutions by the deployment of IEDs and two-way communications is a more powerful and effective solution set for both the utility and the consumer.
Engineering Planning and Design
Published in Graeme Dandy, Trevor Daniell, Bernadette Foley, Robert Warner, Planning & Design of Engineering Systems, 2018
Graeme Dandy, Trevor Daniell, Bernadette Foley, Robert Warner
If engineering problems and systems become intractable, it is usually because there are social, political and business issues to be resolved. But this is not always the case. Developers of large, complex, computer software packages have found that traditional planning and design approaches are inappropriate because of the extreme complexity of the systems being developed, and the length of time needed to create the complete, final plan or program, and then bring it into operation. Multi-purpose, multi-faceted software packages are quite different to, say, a piece of engineering hardware, such as a bridge, which must be brought into use as a complete entity. In contrast, various parts of a large software package can be developed, delivered and put into use long before the complete package has been conceived, let alone created. Some business software packages fall into this category. In their final form, these packages gather enormous amounts of data that fluctuate second by second; they then process, evaluate and analyse the data and so provide rapidly changing advice concerning the financial markets.
Machine Learning in Diagnosis of Children with Disorders
Published in Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le, Machine Learning for Healthcare, 2020
Lokesh Kumar Saxena, Manishikha Saxena
Koivu et al. (2018) presented a study with a focus on machine learning applications for DS diagnosis. Prenatal screening yields a huge amount of data to predict risk of various disorders based on multiple clinical variables. Authors applied ML to augment results of the first three months filtration of DS. ML appears to be an adjustable option to generate better models for risk evaluation using the existing variables in clinical practice. This research used two existing datasets with multiple classification algorithms such as deep neural networks, the support vector machine model, and a risk evaluation business software. Deep neural networks yield a 0.96 area value under the curve, and 78% value of detection rate, with 1% value of false positive rate for the data. Support vector machine yields 0.95 area value under the curve, and 61% value of detection rate with 1% value of false positive rate for the data. Support vector machine yields some poorer results. Deep neural networks yield greater rate of detection having similar rates of false positives or same rates of detection and far lower rates of false positive.
Numerical study of thermal-hydraulic performance of sCO2-molten salt printed circuit heat exchanger with discontinuous fins channel
Published in Numerical Heat Transfer, Part A: Applications, 2023
Yanchun Yang, Yuanwei Lu, Haijiao Wei, Yuting Wu, Qi Gao
The numerical simulation research is carried out by ANSYS FLUENT business software. The whole model is composed of fluid domain (molten salt and sCO2) and solid domain. From the studies of Kim et al. [22], it is found that the renormalization group (RNG) k-ε turbulence model can evaluate the flow friction and heat transfer performance of heat transfer fluids in the PCHE with distributed fins suitably. The comparison between five different turbulence models with enhanced wall functions is carried out to against the Wangʼ experiment results [30], as shown in Table 3. It can be clearly observed from that the deviation between RNG k-ε model model and the experiment is 2.66%, which is the smallest among them. So, RNG k-ε turbulence model with enhanced wall function was used in this model. The y+ of the near-wall node is maintained less than 5 by altering the grid case by case to guarantee that the wall functions are valid. The governing equation of the fluid domain is as follows:
Liar, liar, pants on fire! Social desirability bias in software piracy research
Published in Behaviour & Information Technology, 2022
Marton Gergely, V. Srinivasan (Chino) Rao
Software piracy, which is the unauthorised use, or copying, of software products protected by legal intellectual property rights, such as copyrights, patents, and trade secrets, has been a problematic issue for several decades (Chavarria et al. 2016; Gopal and Sanders 1997; Konstantakis et al. 2010; Mishra, Akman, and Yazici 2007). According to 2016 statistics developed by the Business Software Alliance, there is an annual revenue loss of over $52.2 billion throughout the entire industry (Business Software Alliance 2012; Moores and Esichaikul 2011; Odilova, Andrés, and Raufhon 2016; Yoo et al. 2014). It is estimated that the average worldwide piracy rate is 39%, and that roughly for every two dollars customers spend on legally obtaining software products, another dollar’s worth of software is acquired illegally. Thus, an understanding of issues related to software piracy continues to be of importance.
Integrating fuzzy theory and visualization for QoS-aware selection of SaaS in cloud e-Marketplaces
Published in Cogent Engineering, 2021
Azubuike Ezenwoke, Matthew Adigun
A typical example of a cloud eco-system is Saleforce.com. Salesforce.com is a PaaS eco-system that allows thousands of independent software vendors (ISVs), developers, and consultants to contribute to the eco-system. Salesforce.com is reputed to pioneer the cloud business model based on partnership. Salesforce.com boasts over 1.8 million users who shop for services (Apps) from its marketplace, AppExchange. As observed from the Salesforce.com case study, the natural point of convergence in cloud computing’s future advances is the emergence of cloud service e-marketplaces. AppExchange showcases thousands of enterprise and small business applications made possible by its partner programme of ISVs. AppExchange expands salesforce.com’s cloud-based CRM software into a more significant and more diverse business software portfolio and provides this portfolio as a combination of services.