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Smart Variations: Functional Substructures for Part Compatibility

Youyi Zheng, Daniel Cohen-Or, Niloy J. Mitra
2013 Computer graphics forum (Print)  
Hence, we propose a purely geometric approach based on such substructures to match, replace, and position triplets of parts to create non-trivial, yet functionally plausible, model variations.  ...  As collections of 3D models continue to grow, reusing model parts allows generation of novel model variations.  ...  We thank the anonymous reviewers for their useful suggestions and Melinos Averkiou for carefully proofreading the paper.  ... 
doi:10.1111/cgf.12039 fatcat:sziuffaerbf5hi7qkp7ximnvu4

Improving Magnetic Resonance Imaging with Smart and Thin Metasurfaces [article]

Endri Stoja, Simon Konstandin, Dennis Philipp, Robin N. Wilke, Diego Betancourt, Thomas Bertuch, Juergen Jenne, Reiner Umathum, Matthias Guenther
2021 arXiv   pre-print
This self-detuning works without introducing any additional overhead related to MRI-compatible electronic control components or active (de-)tuning mechanisms.  ...  A thin, smart, non-linear metamaterial is presented that enhances the imaging performance and increases the signal-to-noise ratio in 3T MRI significantly (up to eightfold), whilst the transmit field is  ...  The authors want to thank Peter Erhard for discussions and comments and Michael Jäger for support in the production of prototypes.  ... 
arXiv:2105.09634v1 fatcat:n4rxj2jaobbhdmxeljkosxeusq

Jmol SMILES and Jmol SMARTS: specifications and applications

Robert M. Hanson
2016 Journal of Cheminformatics  
While developed specifically for Jmol, these dialects of SMILES and SMARTS are independent of the Jmol application itself.  ...  The result is an expansion of the capabilities of SMILES and SMARTS primarily for use in 3D molecular analysis, allowing a broader range of matching involving any combination of 3D molecular structures  ...  Finally, thanks are in order for the excellent and thorough comments made by reviewers in the process of this manuscript's publication.  ... 
doi:10.1186/s13321-016-0160-4 pmid:28316648 pmcid:PMC5037863 fatcat:juk2y7rzafdfralykndf3hzfty

Achieving Neuroplasticity in Artificial Neural Networks through Smart Cities

Zaheer Allam
2019 Smart Cities  
One such system is that of artificial neural networks (ANNs), a component of machine learning that boasts similitude with brain neurological networks and its functioning.  ...  However, the development of ANN was done in singular fashion, whereby processes are rendered in sequence in a unidimensional perspective, contrasting with the functions of the brain to which ANN boasts  ...  Funding: No funding was received for this study. Conflicts of Interest: The author declare no conflict of interest.  ... 
doi:10.3390/smartcities2020009 fatcat:3rlpbn7hmzacjcsvjzv77poii4

Applications of Statistical Tools for Optimization and Development of Smart Drug Delivery System [chapter]

Pankaj Sharma
2021 Smart Drug Delivery [Working Title]  
The data collected from the dosage form designing during laboratory experiments, provide the substructure for pivotal or pilot scale development.  ...  monitoring and enhancement for a quality dosage form.  ...  Is functional labelling required (e.g., anti-counterfeiting measures, freeze indicators, etc.)?  ... 
doi:10.5772/intechopen.99632 fatcat:iklnnoinevb3zgjvvrfad3i6sq

Optimal Nonpreemptive Scheduling in a Smart Grid Model

Fu-Hong Liu, Hsiang-Hsuan Liu, Prudence W. H. Wong, Marc Herbstritt
2016 International Symposium on Algorithms and Computation  
The electricity cost is measured by a convex function of the load in each timeslot. The objective is to schedule all requests with the minimum total electricity cost.  ...  We study a scheduling problem arising in demand response management in smart grid. Consumers send in power requests with a flexible feasible time interval during which their requests can be served.  ...  Such partition usually leads to optimal substructures; however, non-preemption makes it trickier and requires a smart way to handle jobs spanning multiple windows.  ... 
doi:10.4230/lipics.isaac.2016.53 dblp:conf/isaac/LiuLW16 fatcat:uxuh6irxtvbbdmqkhikmvmpy5u

A survey on smart automated computer-aided process planning (ACAPP) techniques

Mazin Al-wswasi, Atanas Ivanov, Harris Makatsoris
2018 The International Journal of Advanced Manufacturing Technology  
One the most effective concepts for achieving a smart manufacturing industry is the use of computer-aided process planning (CAPP) techniques.  ...  The concept of smart manufacturing has become an important issue in the manufacturing industry since the start of the twenty-first century in terms of time and production cost.  ...  "Complete" means the process is selected as a full compatible process for that feature; 2.  ... 
doi:10.1007/s00170-018-1966-1 fatcat:wbq6fjemobfoppa4aoekagt2e4

Fatigue Behavior of Smart Composites with Distributed Fiber Optic Sensors for Offshore Applications

Monssef Drissi-Habti, Venkadesh Raman
2021 Journal of Composites Science  
Wind-turbine blades contain various substructures made of composites, sandwich panel, and bond-joined parts that need reliable Structural Health Monitoring (SHM) techniques.  ...  In this article and through some mechanical tests on smart composites, evidence was given that the presence of embedded FOS influences the mechanical behavior of smart composites, whether for quasi-static  ...  MDH (PI of EVEREST) would like to thank the funders for their Support. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jcs6010002 fatcat:mbmxrfjikvbdvl7hfmfola5woe

Identified improvements of wireless sensor networks in smart grid: issues, requirements and challenges

Ines Hosni, Noureddine Hamdi
2016 International Journal of Smart Grid and Green Communications  
Communications infrastructure is a basic part for the success of smart grid.  ...  This paper discusses some of communications research challenges and opportunities in the areas of smart grid and smart meters.  ...  For example, envisage how to include smart meter or M2M gateway function into the home gateway in a profitable way (Sahu and Dehalwar, 2012) .  ... 
doi:10.1504/ijsggc.2016.077287 fatcat:gqcahei3hjarnampeoi3brl66a

Structural health monitoring of wind towers: remote damage detection using strain sensors

M Benedetti, V Fontanari, D Zonta
2011 Smart materials and structures (Print)  
Possible strategies for remote fatigue damage detection are investigated.  ...  Exploiting wind energy in complex sites like mountain terrains implies the necessity for remote structural health monitoring of the wind towers.  ...  On the contrary, substructuring capability was used to condense the elements of the upper part of the tower into one superelement (MATRIX50), thus reducing the computational cost of the analyses.  ... 
doi:10.1088/0964-1726/20/5/055009 fatcat:2oyuv4yqorggbo5fbl7x5ajcmy

Electromechanical finite element modelling for dynamic analysis of a cantilevered piezoelectric energy harvester with tip mass offset under base excitations

M F Lumentut, I M Howard
2014 Smart materials and structures (Print)  
Moreover, the reduced electromechanical finite element dynamic equations can be further formulated to obtain the series form of new multimode electromechanical frequency response functions (FRFs) of the  ...  First, the proposed numerical techniques can be used for applications in many different geometrical models including MEMS power harvesting devices.  ...  For assembling the global matrices, the connectivity matrices whose discretised elements share the same node, should meet the requirements of compatibility.  ... 
doi:10.1088/0964-1726/23/9/095037 fatcat:jrbm7tpptjaurpcf3rdqb4ni7y

Pattern Classification Using Charge Transfer Devices [chapter]

1979 Remote Sensing of Earth from Space: Role of "Smart Sensors"  
Thirty-two on-board multipliers and a summer compute the sum-of-products function.  ...  An analog multiplexer is included for diagnostic monitoring of critical on-board signal points.  ...  Nagel points out that the basic problem offindin p relationships between images in a sequence can be broken down into several steps: 3) Use this fuoctioa to establish compatibility or to compatibility  ... 
doi:10.2514/5.9781600865411.0315.0324 fatcat:jfozl27uyzfitnrewak7iu5vee

Non-preemptive Scheduling in a Smart Grid Model and its Implications on Machine Minimization [article]

Fu-Hong Liu, Hsiang-Hsuan Liu, Prudence W.H. Wong
2017 arXiv   pre-print
We give the first online algorithm for the general problem, and prove that the problem is fixed parameter tractable.  ...  The electricity cost is measured by a convex function of the load in each timeslot. The objective is to schedule all requests with the minimum total electricity cost.  ...  Such partition usually leads to optimal substructures; nevertheless, non-preemption makes it trickier and requires a smart way to handle jobs spanning multiple windows.  ... 
arXiv:1602.06659v3 fatcat:ifhfaqw3urcxrgpgw5fhjhxliy

On the scaling of functional spaces, from smart cities to cloud computing [article]

Mark Burgess
2016 arXiv   pre-print
The study of spacetime, and its role in understanding functional systems has received little attention in information science.  ...  Using promise theory, I derive and extend the scaling laws for cities to expose what may be extrapolated to technological systems.  ...  This work could not have happened but for that chance meeting in a remote city. Also thanks to John D. Cook for carefully reading a draft.  ... 
arXiv:1602.06091v1 fatcat:sf5dhy5nvfbplapw3lvbxfptem

Seismic Analysis of Reticulated Shell Structure Based on Sensor Network for Smart Transportation Seismic Isolation Bearings

Jun Peng, Yufei Li, Sang-Bing Tsai
2022 Journal of Advanced Transportation  
absorption of smart transportation buildings.  ...  Isolation bearings are designed to resist and absorb the energy of seismic shocks by installing substructures in the structure.  ...  Wireless sensor networks (WSNs) are an important technology for the Internet of ings (IoT) and smart applications.  ... 
doi:10.1155/2022/5985542 fatcat:tkkz63dmwjfnjggmudnjf3zpzy
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