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Cloud Computing Agreements
Published in Michael R. Overly, A Guide to IT Contracting, 2021
Moreover, customers should carefully consider the permitted outage measurement window (e.g., daily, monthly, and quarterly). Vendors tend to want longer measurement periods because they dilute the effects of a downtime and make remedies less available to the customer. Customers should receive written documentation of a vendor’s scheduled downtime and ensure the window creates no issues for the customer’s business (e.g., is not scheduled during a time period where the customer expects usage of the software). Customers may also request that the vendor be proactive in detecting downtime by explicitly requiring the vendor to constantly monitor the “heartbeat” of all its servers through automated “pinging.” Requiring the vendor to do this should result in the vendor knowing very quickly that a server is down without having to wait for a notice from the customer. Finally, the concept of “unavailability” should also include severe performance degradation and inoperability of any software feature. This is discussed in more detail in the next section.
SIROJOINT and SIROFRAG: New techniques for joint mapping and rock fragment size distribution measurement
Published in B. Mohanty, Rock Fragmentation by Blasting, 2020
L.C.C. Cheung, J. M. Poniewierski, B. Ward, D. LeBlanc, M.J. Thurley, A.P. Maconochie
A software feature called Linked Views has been developed for SIROFRAG and SIROJOINT. It has the capabilities of displaying a number of ‘sub-windows’ that are linked to the same data set. Actions in one sub-window, such as the selection of a feature, automatically modify/update the other linked sub-windows. The windows that are linked include displays of the captured digital image of a rock face or muckpile; a three-dimensional reconstruction image; for SIROJOINT, the equal area/angle projections as pole plots or contour plots, spacing and persistence graphs and joint area distribution graphs; and for SIROFRAG, various size distribution graphs.
Energy and Analytics Tools
Published in John J. “Jack” Mc Gowan, Energy and Analytics, 2020
Another sophisticated analytics software feature is incorporating effective software planning tools to track and prioritize recommendations for correction and improvement. Correction, or corrective action, may be a repair, etc., while improvement could be an optimization to reprogram a BAS control sequence or a retrofit that could include an equipment upgrade—i.e. adding a VFD to a fan. This is an important analytics differentiator; some systems simply list a number of issues or anomalies. More sophisticated systems combine that technology with direct interaction by an analyst who evaluates all building systems and then meets with managers to review analysis of the energy/cost savings from each recommendation and prioritize which ones to address first. The best case is for the software to track all of the corrective action/improvement recommendations, report on them, identify prioritization for addressing those items, and to reprioritize recommendations based upon new information. Even more valuable is tracking how long it has been since the recommendation was originally made and to provide a means to review and evaluate all of the recommendations. These reports can also summarize the value of savings or avoided cost associated with each recommendation, and potentially information such as how much “avoided cost” has been incurred as a result of not addressing the issue immediately. This could be called a “do nothing” evaluation. Considering the cost of doing nothing, and its impact on the potential savings, makes it easy to decide which recommendations to address first.
Prediction of fracture initiation and propagation in pelvic bones
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2022
Mohammad Salem, Lindsey Westover, Samer Adeeb, Kajsa Duke
The XFEM framework built into the general purpose finite element analysis software ABAQUS/Standard (Dassault Systemes Simulia Corp, Providence, RI, USA) was utilized to develop the 3 D model (Abaqus 2014). CT-scan data of an intact pelvic bone (left hemi-pelvis) was utilized and converted to the 3 D mesh part by Materialise Mimics software (Materialise NV, Leuven, Belgium). In order to do so, the CT scan data was converted to a solid part with no specified tissues. The solid part was meshed in Mimics then a software feature was utilized to assign the tissues on the meshed part. The cortical and cancellous tissues were specified from CT-scan data in the mesh part. Based on CT scan data the thickness of cancellous and cortical tissues are variable. The created mesh part in Materialise Mimics software with the specified cancellous and cortical tissues is illustrated in Figure 1. As can be seen in Figure 1 the cancellous tissue (green elements) is covered by cortical tissue (blue elements). The mesh part was imported to the Abaqus software as an input file. The imported mesh part is one part with specified material behaviors for cancellous and cortical elements which defined in Mimics software (Figure 1). This helpful feature from Mimics software can help to remove the interaction between cancellous and cortical tissues. The contact between tissues increases the running time of the XFEM model and causes some convergence issues in contact area. The re-implemented fracture modeling of cancellous and cortical bones from the previous section were assigned to the pelvic bone.
EduGene: A UIDP-Based Educational App Generator for Multiple Devices and Platforms
Published in International Journal of Human–Computer Interaction, 2019
Cesar Augusto Cortes-Camarillo, Giner Alor-Hernández, Laura Nely Sánchez-Morales, Viviana Yarel Rosales-Morales, Lisbeth Rodríguez-Mazahua, José Luis Sánchez-Cervantes
According to Twining, Heller, Nussbaum, and Tsai (2017), there is an imbalance between quantitative and qualitative papers published in highly rated research journals. This claim is supported by numerous findings. For instance, Chiu, Lin, and Chou (2016) revealed that during the last 31 years, 37.9% of the studies have followed a qualitative approach, whereas 17.2% have used a quantitative approach. Also, 19.8% more studies have adopted a mixed approach (i.e., qualitative and quantitative), other 19.8% have quantified qualitative data in international journals, and 17.5% of research works have conducted nonempirical studies for coding methods. Likewise, the authors found an increasing rate of publications that emphasize on qualitative data analysis, from 0.3% in the first period (1982–1987) to 11.5% in the last period (2008–2012). For this reason, software evaluation must appropriately relate each software feature to its corresponding evaluation method (i.e., quantitative or qualitative).
Building information modelling for an automated building sustainability assessment
Published in Civil Engineering and Environmental Systems, 2018
Luís Pedro Neves Sanhudo, João Pedro da Silva Poças Martins
Most of the language applied is user-friendly, focusing on achieving an intuitive software. However, despite measures being taken to address the common user, it is also possible to override most default settings to attain a runoff with increased accuracy. This software feature is aimed at more advanced users who wish to apply this software as a precise tool for computing the rainfall runoff. As such, the software may be used to justify design decisions for the building, being beneficial not only in the design stage but also during construction and maintenance. Furthermore, it should be stressed that very few inputs have to be introduced for the software to properly work, with these being limited to some rainfall related variables, the building use, and a few design and cost-driven choices. These values may be introduced manually using the override system, or directly acquired from the software database. This database contains all the information requires to run the software such as the land use's runoff coefficients, the LIDBMP's cost and efficiency, as well as all the required coefficients for the application of the Rational Method. The database consists of a set of eXtensive Markup Language (XML) files, which may be easily edited if the user desires to update its values or add new parameters (Sanhudo 2016).