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Stray Losses, Screening, and Local Excessive Heating Hazard in Large Power Transformers
Published in Xose M. López-Fernández, H. Bülent Ertan, Janusz Turowski, Transformers, 2017
Equivalent Reluctance Method RNM (Table 3.3) is one of the simplest and fastest methods of modeling and computation. It is based on the simple, easily understandable Ohm’s and Kirchhoffs’ laws. RNM-3D is the 3D version (Figure 3.19). It is extremely competitive when compared with its popular counterpart, FEM-3D (Figure 3.6). The program “RNM-2Dexe” is intended mainly for the rapid design of symmetric three-leg structures (Figure 3.19). However, it can be also successfully applied to five-leg and asymmetric transformers. At asymmetry, it is only necessary to repeat calculation four times for each quarter (Figure 3.20a). This method is described in the paper “Fast 3-Dimensional Interactive Computation of Stray Field and Losses in Asymmetric Transformers” in IEE Proceedings [9].
An innovative connection design for modern reciprocal glulam frame structures
Published in Airong Chen, Xin Ruan, Dan M. Frangopol, Life-Cycle Civil Engineering: Innovation, Theory and Practice, 2021
The existing research work regarding to the RF structures could be mainly categorized to two types: the architectural form-finding and the structural analysis. On the topic of the reciprocal form-finding, an interactive computation tool and associated form-finding software was developed to generate the coherent RF-tessellations from simple grammar rules (Song et al. 2013; Song et al. 2014). Design methods based on dynamic relaxation method (Douthe & Baverel 2009), “Reciprocalizer” algorithm (Parigi & Kirkegaard 2014), and structural iteration (Thönnissen 2014) were also developed for designers to help creating the RF patterns. Some similar methods were also proposed and studied to design RF structures (D'Amico et al. 2014; D’Amico et al. 2015).
Mental Models in Human–Computer Interaction
Published in Julie A. Jacko, The Human–Computer Interaction Handbook, 2012
Two of the major practical questions raised by mental models are (1) How are they acquired? and (2) How can their acquisition be supported by instruction? The third section of this chapter will discuss two angles on these questions in HCI: first, the use of interactive computation and multimedia as an instructional method; second, the important tension between exploration and instruction, first systematically discussed in the HCI literature by Carroll’s (1990) work on minimalism.
Modelling distributive computation by selective machines
Published in International Journal of Parallel, Emergent and Distributed Systems, 2021
In 2007, it was demonstrated and proved mathematically in what conditions interactive computation is more powerful than computation of Turing machines and in what conditions interactive computation has the same computing power [7,8]. Five sources for higher power of interaction were found. Namely, recursive algorithms, such as Turing machines, become super-recursive, i.e. have higher computing power, when: (1) the interactive algorithm is itself super-recursive; (2) the interactive algorithm is recursive but contains initial information about some recursively non-computable function (has a non-recursive oracle); (3) the interactive recursive algorithm interacts with a super-recursive algorithm (a non-recursive environment); (4) time of interaction is not recursively coordinated; (5) communication space is not recursively coordinated. The first three cases are evident because either super-recursive power comes not from interaction (case 1) or as it is well known, if a recursive device has access to super-recursive information, then this device can compute recursively non-computable functions (cases 2 and 3). For instance, Turing machines with oracles have such a super-recursive power because oracles can supply any information to the Turing machine.
Performance analysis of multi-GNSS static and RTK techniques in estimating height differences
Published in International Journal of Digital Earth, 2020
Ahmed Elaksher, Tarig Ali, Franck Kamtchang, Christian Wegmann, Adalberto Guerrero
We selected 20 points, exhibited in Figure 1, for our experiments. The points are part of a local control network of New Mexico State University (NMSU) campus in Las Cruces, New Mexico. The network is centered around point Reilly, an NGS 3D survey monument. The static GNSS measurements were collected between 2013 and early 2017 with 2-h, 1-h, and 20-min observation sessions. Observations for each point were gathered within 4–6 weeks to avoid annual and semi-annual variations (Dong et al. 2002). For our study area, the uncertainties of GEOID12B are less than 5 cm. We estimated the separation between the geoid and the ellipsoid for each point using the NGS’s interactive computation tool. Then the separation was applied to estimate the corresponding height. Plate motion in the area is mainly due to the Rio Grande Rift and is estimated to be at most 1 mm/year (Savage et al. 1980; Cordell 1982). NMSU campus falls in the Mesilla Basin aquifer system. Sheng (2013) reported no land subsidence or other damaging environmental impacts for the Mesilla Basin aquifer system. The RTK surveys were collected on the same day, but at a different period than the static data.
Interactive computation and visualization of deep brain stimulation effects using Duality
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2020
J. Vorwerk, D. McCann, J. Krüger, C. R. Butson
An important point that has to be considered to facilitate the usage of decision-support applications in a clinical workflow, is the accessibility and mobility of the medium on which the information is delivered to allow the user, commonly a movement disorder specialist, an easy use of the device during the patient visit. Furthermore, interactivity is desirable to allow manual interventions of the user. In Butson et al. (2013), a tablet-based mobile computing platform using ImageVis3D Mobile (Schiewe et al. 2015; https://itunes.apple.com/us/app/imagevis3d-mobile-universal/id378071694) that allows the interactive visualization of precomputed DBS simulations to assist in the selection of DBS parameters, was presented and evaluated. This platform enables the 2d- and 3d-visualization of the VTA in combination with structural images of the patient’s brain and surfaces of relevant brain structures. It was demonstrated that this kind of tool has a huge potential impact on the required programming time. However, as all visualizations have to be precomputed, the location of the DBS lead has to be selected in advance, so that this tool is limited to the use in postoperative programming and cannot be used in pre- or intraoperative planning. Further limitations that arise concern the amount of possible stimulation settings that can be visualized, i.e. these have to be restricted to the most common uni- and bipolar settings. Also the use of visualization concepts other than the VTA or the interactive computation of optimized stimulation settings are at least complicated.