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Measuring System Success In New Context By Adapting DM 2003 Framework With The External Factor Management Support

Journal of Physics: Conference Series 2018年第1期1019卷

作者： Ibrahim Eskandar Ibrahim Fadhel Syed Zulkarnain bin Syed Idrus Amani Ali Elmetwaly Ali Ibrahim Mazni Omar Fawzia Baheshwan Malek Khalaf Albzeirat Suhaib Khalaf Albzeirat Department of Computer and Information Systems in National Institute of Administrative Science (NIAS) Mukalla Al-Shihr Yemen School of Human Development and Techno-communication University Malaysia Perlis Perlis Malaysia Green Advanced Computing and Technology (GREAT) Research Group - CEGeoGTech University Malaysia Perlis Perlis Malaysia College of Science and Arts School of Computing Universiti Utara Malaysia Kedah Malaysia Department of Information Systems Hadhramout University Mukalla Yemen School of Manufacturing Engineering University Malaysia Perlis Kampus Alam Pauh Putra 02600 Arau Perlis Malaysia Queen Rania Center for Educational Technology and Information Hashemite Kingdom of Jordan

Rate of failure of software's and information systems are high among the world and there is a dire need for engineering a systems quality framework works a success measure tool in the context of the study domain. Success measure of systems and developing a framework helps in solving the problem of higher rate of systems failure. Success measure is also, an important part of systems development to improve systems performance. However, studies showed a lack of research done on systems success in world universities Arab region universities and Yemeni universities and limited adequate frameworks. Systems especially the web-based faces high rate of failure in world and Arab region, it was observed that many funded system projects failed, it was also, noted that in Yemen systems were completed and implemented without evaluation and success measuring. The Yemen higher education management information system (YHEMIS), is a large-scale application developed and implemented without evaluation. Hence, this research measures the YHEMIS application by investigating into the factors that influence user satisfaction and system use which will further show the benefit of the system. The research findings showed that information quality, system quality and management support influenced the use and users' satisfaction and played a vital role in the success of YHEMIS. The findings showed that students' satisfaction have the strongest effect on the perceived net benefits YHEMIS brought for the students. This study provides the first empirical data on the evaluation of web-based systems success conducted on YHEMIS in Yemen. Based on the results, stakeholders can get the feedback to improve the systems and provide input to develop other software projects. The research findings can provide the support to the management of Hadhramout University to other online system projects. Hence, YHEMIS can be said to be successful and users (students) satisfaction can be considered as the indicator of

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CatCharge: Deploying wireless charging lane in metropolitan scale through categorization and clustering of vehicle mobility

CatCharge: Deploying wireless charging lane in metropolitan ...

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International Conference on Network Protocols

作者： Li Yan Juanjuan Zhao Haiying Shen Chengzhong Xu Feng Luo Department of Computer Science University of Virginia USA Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China School of Computing Clemson University USA

ISBN: (纸本)9781509032822

The future generation transportation system will be featured by electrified public transportation. To fulfill metropolitan transit demands, electric vehicles (EVs) must be continuously operable without recharging downtime. Wireless Power Transfer (WPT) techniques for in-motion EV charging is a solution [1], [2]. It however brings up a challenge: how to deploy charging lanes in a metropolitan road network to minimize the deployment cost while enabling EVs' continuous operability.

关键词： Trajectory Roads Electric vehicles Frequency diversity Global Positioning System Quantization (signal)

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Category aggregation among region proposals for object detection 17th

Category aggregation among region proposals for object detec...

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Li, Linghui Tang, Sheng Zhou, Jianshe Wang, Bin Tian, Qi Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing100190 China Beijing Advanced Innovation Center for Imaging Technology Capital Normal University Beijing100048 China Department of Computer Science University of Texas at San Antonio San AntonioTX78249-1604 United States

ISBN: (纸本)9783319488950

Recently, an overwhelming majority of object detection methods have focused on how to reduce the number of region proposals while keeping high object recall without consideration of category information. It may lead to a lot of false positives due to the interferences between categories especially when the number of categories is very large. To eliminate such interferences, we propose a novel category aggregation approach based upon our observation that more frequently detected categories around an object have the higher probabilities to be present in an image. After further exploiting the co-occurrence relationship between categories, we can determine the most possible categories for an image in advance. Thus, many false positives can be greatly filtered out before subsequent classification process. Our extensive experiments on the well-known ILSVRC 2015 detection dataset show that our approach can achieve 49.0% of mAP in the validation dataset and 45.36% of mAP in the test dataset ranked 5th in the ILSVRC 2015 detection task. © Springer International Publishing AG 2016.

关键词： Object detection

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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How functional programming mattered

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National science Review 2015年第3期2卷 349-370页

作者： Zhenjiang Hu John Hughes Meng Wang National Institute of Informatics Department of Computer Science and Engineering Chalmers University of Technology School of Computing University of Kent Department of Informatics SOKENDAI(Graduate University for Advanced Studies)

In 1989 when functional programming was still considered a niche topic, Hughes wrote a visionary paper arguing convincingly ‘why functional programming maters’. More than two decades have passed. Has functional programming really matered? Our answer is a resounding ‘Yes!’. Functional programming is now at the forefront of a new generation of programming technologies, and enjoying increasing popularity and inluence. In this paper, we review the impact of functional programming, focusing on how it has changed the way we may construct programs, the way we may verify programs, and fundamentally the way we may think about programs.

关键词： functional programming functional languages equational reasoning monad high order function

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Laser annealing heals radiation damage in avalanche photodiodes

arXiv

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arXiv 2017年

作者： Lim, Jin Gyu Anisimova, Elena Higgins, Brendon L. Bourgoin, Jean-Philippe Jennewein, Thomas Makarov, Vadim Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Quantum Information Science Program Canadian Institute for Advanced Research TorontoONM5G 1Z8 Canada

Avalanche photodiodes (APDs) are a practical option for space-based quantum communications requiring single-photon detection. However, radiation damage to APDs significantly increases their dark count rates and reduces their useful lifetimes in orbit. We show that high-power laser annealing of irradiated APDs of three different models (Excelitas C30902SH, Excelitas SLiK, and Laser Components SAP500S2) heals the radiation damage and substantially restores low dark count rates. Of nine samples, the maximum dark count rate reduction factor varies between 5.3 and 758 when operating at −80 ◦C. The illumination power to reach these reduction factors ranges from 0.8 to 1.6 W. Other photon detection characteristics, such as photon detection efficiency, timing jitter, and afterpulsing probability, remain mostly unaffected. These results herald a promising method to extend the lifetime of a quantum satellite equipped with APDs. Copyright © 2017, The Authors. All rights reserved.

关键词： Photons

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muView: A visual analysis system for exploring uncertainty in myocardial ischemia simulations 3rd

muView: A visual analysis system for exploring uncertainty i...

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3rd International Workshop on Visualization in Medicine and Life sciences, VMLS 2013

作者： Rosen, Paul Burton, Brett Potter, Kristin Johnson, Chris R. Department of Computer Science and Engineering University of South Florida 4202 E. Fowler Avenue ENB 118 TampaFL33620 United States Scientific Computing and Imaging Institute University of Utah 72 S. Central Campus Dr. Salt Lake CityUT84112 United States University of Oregon 5246 University of Oregon 460 Mckenzie Hall EugeneOR97403 United States

ISBN: (纸本)9783319245218

In this paper we describe the Myocardial Uncertainty Viewer (muView or μView) system for exploring data stemming from the simulation of cardiac ischemia. The simulation uses a collection of conductivity values to understand how ischemic regions effect the undamaged anisotropic heart tissue. The data resulting from the simulation is multi-valued and volumetric, and thus, for every data point, we have a collection of samples describing cardiac electrical properties. μView combines a suite of visual analysis methods to explore the area surrounding the ischemic zone and identify how perturbations of variables change the propagation of their effects. In addition to presenting a collection of visualization techniques, which individually highlight different aspects of the data, the coordinated view system forms a cohesive environment for exploring the simulations. We also discuss the findings of our study, which are helping to steer further development of the simulation and strengthening our collaboration with the biomedical engineers attempting to understand the phenomenon. © Springer International Publishing Switzerland 2016.

关键词： Data visualization

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Detecting consistency of overlapping quantum marginals by separability

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Physical Review A 2016年第3期93卷 032105-032105页

作者： Jianxin Chen Zhengfeng Ji Nengkun Yu Bei Zeng Joint Center for Quantum Information and Computer Science University of Maryland College Park Maryland USA Institute for Quantum Computing University of Waterloo Waterloo Ontario Canada State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Department of Mathematics and Statistics University of Guelph Guelph Ontario Canada Canadian Institute for Advanced Research Toronto Ontario Canada

The quantum marginal problem asks whether a set of given density matrices are consistent, i.e., whether they can be the reduced density matrices of a global quantum state. Not many nontrivial analytic necessary (or sufficient) conditions are known for the problem in general. We propose a method to detect consistency of overlapping quantum marginals by considering the separability of some derived states. Our method works well for the k-symmetric extension problem in general and for the general overlapping marginal problems in some cases. Our work is, in some sense, the converse to the well-known k-symmetric extension criterion for separability.

关键词： Entanglement measures Quantum tomography

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Heat-bath algorithmic cooling with correlated qubit-environment interactions

arXiv

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arXiv 2017年

作者： Rodríguez-Briones, Nayeli A. Li, Jun Peng, Xinhua Mor, Tal Weinstein, Yossi Laflamme, Raymond Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics & Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Beijing Computational Science Research Center Beijing100193 China Hefei National Laboratory for Physical Sciences at Microscale Department of Modern Physics University of Science and Technology of China HefeiAnhui230026 China Synergetic Innovation Center of Quantum Information & Quantum Physics University of Science and Technology of China Hefei Anhui230026 China Computer Science Department Technion Haifa320008 Israel Perimeter Institute for Theoretical Physics 31 Caroline Street North WaterlooONN2L 2Y5 Canada Canadian Institute for Advanced Research TorontoONM5G 1Z8 Canada

Controlled preparation of highly pure quantum states is at the core of practical applications of quantum information science, from the state initialization of most quantum algorithms to a reliable supply of ancilla qubits that satisfy the fault-tolerance threshold for quantum error correction. Heat-bath algorithmic cooling has been shown to purify qubits by controlled redistribution of entropy and multiple contact with a bath, not only for ensemble implementations but also for technologies with strong but imperfect measurements. However, an implicit restriction about the interaction with the bath has been assumed in previous work. In this paper, we show that better purification can be achieved by removing that restriction. More concretely, we include correlations between the system and the bath, and we take advantage of these correlations to pump entropy out of the system into the bath. We introduce a tool for cooling algorithms, which we call "state-reset", obtained when the coupling to the environment is generalized from individual-qubits relaxation to correlated-qubit relaxation. We present improved cooling algorithms which lead to an increase of purity beyond all the previous work, and relate our results to the Nuclear Overhauser Effect. Copyright © 2017, The Authors. All rights reserved.

关键词： Cooling

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Quantum State Tomography via Reduced Density Matrices

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Physical Review Letters 2017年第2期118卷 020401-020401页

作者： Tao Xin Dawei Lu Joel Klassen Nengkun Yu Zhengfeng Ji Jianxin Chen Xian Ma Guilu Long Bei Zeng Raymond Laflamme State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics Tsinghua University Beijing 100084 China Institute for Quantum Computing University of Waterloo Waterloo Ontario N2L 3G1 Canada Department of Physics University of Guelph Guelph N1G 2W1 Ontario Canada Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney New South Wales 2007 Australia Department of Mathematics and Statistics University of Guelph Guelph N1G 2W1 Ontario Canada State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences 100190 Beijing China Joint Center for Quantum Information and Computer Science University of Maryland College Park Maryland USA Department of Physics and Astronomy University of Waterloo Waterloo Ontario N2L 3G1 Canada Canadian Institute for Advanced Research Toronto M5G 1Z8 Ontario Canada Perimeter Institute for Theoretical Physics Waterloo Ontario N2L 2Y5 Canada

Quantum state tomography via local measurements is an efficient tool for characterizing quantum states. However, it requires that the original global state be uniquely determined (UD) by its local reduced density matrices (RDMs). In this work, we demonstrate for the first time a class of states that are UD by their RDMs under the assumption that the global state is pure, but fail to be UD in the absence of that assumption. This discovery allows us to classify quantum states according to their UD properties, with the requirement that each class be treated distinctly in the practice of simplifying quantum state tomography. Additionally, we experimentally test the feasibility and stability of performing quantum state tomography via the measurement of local RDMs for each class. These theoretical and experimental results demonstrate the advantages and possible pitfalls of quantum state tomography with local measurements.

关键词： Quantum entanglement Quantum information processing Quantum tomography Random matrix theory

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