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Mobile application testing in industrial contexts: An exploratory multiple case-study 14th

14th International Conference on New Trends in Intelligent Software Methodology, Tools, and Techniques, SoMeT 2015

作者： Zein, Samer Salleh, Norsaremah Grundy, John Department of Computer Science International Islamic University Kuala Lumpur Malaysia Centre for Computing and Engineering Software Systems Swinburne University of Technology Melbourne Australia

ISBN: (纸本)9783319226880

Recent empirical studies in the area of mobile application testing indicate the need for specific testing techniques and methods for mobile applications. This is due to mobile applications being significantly different than traditional web and desktop applications, particularly in terms of the physical constraints of mobile devices and the very different features of their operating systems. In this paper, we presented a multiple case-study involving four software development companies in the area of mobile and smartphones application. We aimed to identify testing techniques currently being applied by developers and challenges that they are facing. Our principle results are that many industrial teams seem to lack sufficient knowledge on how to test mobile applications, particularly in the areas of mobile application life-cycle conformance, context-awareness, and integration testing. We also found that there is no formal testing approach or methodology that can facilitate a development team to systematically test a critical mobile application. © Springer International Publishing Switzerland 2015.

关键词： Integration testing

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Creep response of fiber-reinforced composites: a review

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Discover Mechanical engineering 2022年第1期1卷 1-31页

作者： Katouzian, Mostafa Vlase, Sorin Marin, Marin Öchsner, Andreas Department of Mechanical Engineering Transilvania University of Brasov Brasov 500036 Romania Romanian Academy of Technical Science Bucharest Romania Department of Mathematics and Computer Science Transylvania University of Brasov Brasov 500036 Romania Faculty of Mechanical and Systems Engineering Esslingen University Esslingen 73728 Germany

The paper presents the results obtained in modeling the creep phenomenon of unidirectional composites reinforced with fibers. Thus, several models that have proven their validity and results obtained with their help are discussed. Analyzing a multitude of models described in the paper presented in references the authors describe the most used by the researchers. The micromechanical model, the homogenization method, the finite element method and the Mori–Tanaka formalism are described. These methods are most used in engineering applications studies in the last time. Following the analysis of each method, the advantages and disadvantages are presented and discussed. The results obtained are compared with experimental determinations. The application of the methods is done to composite materials reinforced with aligned carbon fiber. The methods are, sure, valid for every type of composite reinforced with fibers. Since the creep of materials is a frequently encountered phenomenon in practice, the knowledge of material properties and the existence of convenient calculation models become important for designers, which is why the paper presents the most used calculation methods to model this behavior. © The Author(s) 2022.

关键词： Carbon fiber Constitutive low Creep behavior Fiber reinforced composite Mechanical constants Viscoelastic model

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Optimal calculation of tensor learning approaches

Optimal calculation of tensor learning approaches

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10th International Symposium on Neural Networks, ISNN 2013

作者： Huang, Kai Zhang, Liqing MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9783642390647

Most algorithms have been extended to the tensor space to create algorithm versions with direct tensor inputs. However, very unfortunately basically all objective functions of algorithms in the tensor space are non-convex. However, sub-problems constructed by fixing all the modes but one are often convex and very easy to solve. However, this method may lead to difficulty converging;iterative algorithms sometimes get stuck in a local minimum and have difficulty converging to the global solution. Here, we propose a computational framework for constrained and unconstrained tensor methods. Using our methods, the algorithm convergence situation can be improved to some extent and better solutions obtained. We applied our technique to Uncorrelated Multilinear Principal Component Analysis (UMPCA), Tensor Rank one Discriminant Analysis (TR1DA) and Support Tensor Machines (STM);Experiment results show the effectiveness of our method. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Tensors

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Object snapping method using multi-resolution fuzzy grid snapping technique

Object snapping method using multi-resolution fuzzy grid sna...

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2nd Eurographics Workshop on Sketch-Based Interfaces and Modeling, SBM 2005

作者： Dematapitiya, Sumudu Kawazoe, Masatoshi Khand, Qamar Uddin Saga, Sato Department of Computer Science and Systems Engineering Muroran Institute of Technology 27-1 Mizumoto-Cho Muroran050-8585 Japan

ISBN: (纸本)3905673304

We propose the automatic snapping of objects using the Multi-resolution Fuzzy Grid Snapping (MFGS) for a sketch based CAD system. The sketch based CAD system, which has already been realized, identifies sketch drawings as primitive geometric curve objects, based on the user's drawing manner. While drawing objects of varying fineness, misalignments arise due to unappropriate grid snapping resolution settings. Meanwhile, MFGS is an automatic grid snapping resolution switching mechanism, which snaps a cursor on a multiple grid system, based on the snapping intentions of the user. In this paper, we propose to solve the problem of misalignments of sketched objects of various fineness by applying MFGS to object snapping. To show the effectiveness of this method, we give experiments containing drawings of linear and circular objects of various sizes, drawn with different snapping intentions. By comparing these results with the results of the traditional snapping method, we can see that because of this newly proposed object snapping method, it has become possible to dispense with the manual switching of grid snapping resolutions. Therefore we can say that our snapping method enables the user to draw curves of different fineness, seamlessly and efficiently. © The Eurographics Association 2005.

关键词： Alignment

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An approach to secure capacity optimization in cloud computing using cryptographic hash function and data de-duplication 3

An approach to secure capacity optimization in cloud computi...

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3rd International Conference on Intelligent Sustainable systems, ICISS 2020

作者： Magesh Kumar, S. Balasundaram, A. Kothandaraman, D. Auxilia Osvin Nancy, V. Sathish Kumar, P.J. Ashokkumar, S. Saveetha School of Engineering SIMATS Department of CSE Chennai Tamil Nadu India School of Computer Science and Engineering Centre for Cyber Physical Systems Chennai India SR University Warangal School of Computer Science and Artificial Intelligence TS India S.A. Engineering College Department of IT Chennai India Panimalar Engineering College Department of CSE Chennai India

ISBN: (纸本)9781728170893

Capacity Optimization in Cloud computing is a common term for innovations used to progress storage use by dwindling stored data. Crucial methodologies used for capacity optimization in cloud computing are data compression and data deduplication. Our paper focuses Capacity Optimization in connection with Deduplication procedures, which stare for redundancy in series of bytes across comparison windows by using cryptographic hash functions as identifiers of unique sequences, then the sequences are matched to the history of other such sequences, and when possible, the first uniquely stored version of a sequence is referenced rather than stored again. Our work shows better results for capacity optimization, which are most frequently found in backup/recovery storage, where storage of iterating versions of backups day to day creates a chance for lessening of space in cloud computing. Hence this study has recognized exploration hole as vast number of capacity of copy records on cloud frameworks from various clients. Consequently, to diminish the amount of work brought about by copied documents, SHA3 calculation has been proposed in this study, which makes the hash esteem for each record and discover the information intelligent compression for capacity streamlining on cloud framework. Our Work also includes Authentication, which is based on Cryptographic hash function and Secure Data Deduplication allows cloud storage and optimization of storage to employ data with concealment. © 2020 IEEE.

关键词： Data compression

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GENERALIZED BAYES SURE FOR MULTIVARIATE NORMAL DISTRIBUTION UNDER BALANCED-QUADRATIC LOSS

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Journal of Mathematical sciences (United States) 2024年第2期280卷 262-274页

作者： Karamikabir, Hamid Afshari, Mahmoud Karamikabir, Nasrin Kiaei, Seyed Faridoddin Department of Statistics Faculty of Intelligent Systems Engineering and Data Science Persian Gulf University Bushehr Iran Department of Mathematics Hamedan Branch Islamic Azad University Hamedan Iran School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

One of the most important subjects in statistics is the theory of estimation. In this paper, we consider the generalized Bayes shrinkage estimator of the mean vector for multivariate normal distribution with the unknown covariance matrix under balanced quadratic loss. Also, we find the minimax and admissible estimator of the mean vector based on the generalized Bayes estimator. We obtain Stein’s unbiased risk estimator (SURE) threshold with a generalized Bayes shrinkage estimator and we find the wavelet shrinkage generalized Bayes SURE. Finally, we present a simulation study to test the validity of the generalized Bayes SURE and the concrete compressive strength dataset is given to test the efficiency of this estimator in denoising. © 2024, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Balanced-quadratic loss Generalized bayes estimator Shrinkage estimaton Shrinkage wavelet SURE threshold

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Applying genetic programming approaches to short-term water demand forecast for district water system

Applying genetic programming approaches to short-term water ...

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12th Annual International Conference on Water Distribution systems Analysis 2010, WDSA 2010

作者： Wu, Zheng Yi Yan, Xiguang Bentley Systems Incorporated Watertown CT 06795 United States Computer Science and Engineering Department University of Connecticut Storrs CT 06269 United States

ISBN: (纸本)9780784412039

Short-term demand forecast is important for cost-effective operation of water distribution systems. It plays an essential role in optimizing pump operation strategy such that energy consumption cost can be consistently minimized on daily basis. In this paper, two genetic programming (GP) approaches including tree-based genetic programming (TGP) and gene expression programming (GEP) have been applied to the construction of explicit demand forecast models for a real water system. A number of demand forecast models have been induced by using the historical flow data from 2005 to 2008 for a district water system, a sub-system of a large demand monitoring zone (DMZ) in UK. In general, the results obtained show that both TGP and GEP are effective for constructing short-term demand forecast models. Among all the models tested in this study, an average forecast accuracy of greater than 90 was achieved for the forecast model with two previous day demands and average temperature. © 2011 ASCE.

关键词： Genetic programming

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Predicting DNN run-times using a Graph Neural Network for heterogenous SoCs 19

Predicting DNN run-times using a Graph Neural Network for he...

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19th IEEE International Conference on Intelligent computer Communication and Processing Conference, ICCP 2023

作者： Viman, Andrei Negru, Mihai Cason, Catalin Engineering Systems Vision Robert Bosch SRL Cluj-Napoca Romania Technical University of Cluj-Napoca Computer Science Department Cluj-Napoca Romania

ISBN: (纸本)9798350370355

Deep learning models are widely used for automated driving, but achieving the goal of performance in embedded systems-on-Chip (SoCs) has a lot of challenges due to the tradeoff between accuracy and run-time. This paper addresses the task of finding a suitable neural architecture for heterogeneous systems-on-Chip (SoCs) in order to strike a balance between accuracy and run-time efficiency. Our approach may be used to predict the inference run-time of DNN models, which is useful not only for neural architecture search, but also for the optimization of deep learning models. We propose a method for predicting the run-time of deep learning models using Graph Neural Networks, based on the Graph Convolution Network. We transform the DNN models into an acyclic graph structure, which incorporates encoded features for all nodes. Each node represents an operation of the model and all nodes are linked together. The experimental results show that our approach achieves accurate run-time inference predictions, with an overall error between 2% and 4% for ARM CPUs. © 2023 IEEE.

关键词： System-on-chip

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H2 performance bounds for voltage regulation on a spatially-invariant DC power grid

H2 performance bounds for voltage regulation on a spatially-...

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作者： Rinehart, Michael Roozbehani, Mardavij Dahleh, Munther A. Laboratory for Information and Decision Systems Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States

ISBN: (纸本)9781457700804

Despite the importance of voltage regulation to operational reliability and safety of power grids, little is understood about how the topology of the physical layer, and the architecture of the communication and control layer impact the ability of the system to regulate the voltages. In this paper, we apply spatial-invariance analysis to develop analytical upper and lower bounds for the H2 gain of a DC power grid with respect to voltage regulation. These bounds establish a relation between network architecture and performance, and reveal fundamental limits to performance that cannot be overcome using feedback control. © 2011 AACC American Automatic Control Council.

关键词： Electric power transmission networks

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Architecture Based Reliability and Testing Estimation for Mobile Applications

Architecture Based Reliability and Testing Estimation for Mo...

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作者： Wadhwani, Vickey Memon, Fiaz Hameed, M. Muzaffar Blekinge Institute of Technology Department of Systems and Software Engineering Sweden University of Sindh Institute of Mathematics and Computer Science Jamshoro Pakistan

ISBN: (纸本)9783540898528

We propose an architecture-based testing and reliability framework for mobile applications. During our literature study, we explored some of the software testing and reliability techniques available, as well as investigating the techniques that are being used by industry. This paper presents case studies of two companies that are developing mobile applications. These are helpful for finding the strengths and weaknesses of existing software testing and reliability techniques. In light of these strengths and weaknesses, we propose a framework of architecture-based software testing and reliability estimation for mobile applications. © Springer-Verlag Berlin Heidelberg 2008.

关键词： Software reliability

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