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Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Nature communications 2019年第1期10卷 588页

作者： Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunovic Andrew P Bradley Aaron Carass Carolin Feldmann Alejandro F Frangi Peter M Full Bram van Ginneken Allan Hanbury Katrin Honauer Michal Kozubek Bennett A Landman Keno März Oskar Maier Klaus Maier-Hein Bjoern H Menze Henning Müller Peter F Neher Wiro Niessen Nasir Rajpoot Gregory C Sharp Korsuk Sirinukunwattana Stefanie Speidel Christian Stock Danail Stoyanov Abdel Aziz Taha Fons van der Sommen Ching-Wei Wang Marc-André Weber Guoyan Zheng Pierre Jannin Annette Kopp-Schneider Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. l.maier-hein@dkfz.de. Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Centre for Intelligent Machines McGill University Montreal QC H3A0G4 Canada. Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna 1090 Vienna Austria. Science and Engineering Faculty Queensland University of Technology Brisbane QLD 4001 Australia. Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore MD 21218 USA. CISTIB - Center for Computational Imaging & Simulation Technologies in Biomedicine The University of Leeds Leeds Yorkshire LS2 9JT UK. Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center 6525 GA Nijmegen The Netherlands. Institute of Information Systems Engineering TU Wien 1040 Vienna Austria. Complexity Science Hub Vienna 1080 Vienna Austria. Heidelberg Collaboratory for Image Processing (HCI Heidelberg University 69120 Heidelberg Germany. Centre for Biomedical Image Analysis Masaryk University 60200 Brno Czech Republic. Electrical Engineering Vanderbilt University Nashville TN 37235-1679 USA. Institute of Medical Informatics Universität zu Lübeck 23562 Lübeck Germany. Division of Medical Image Computing (MIC) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Institute for Advanced Studies Department of Informatics Technical University of Munich 80333 Munich Germany. Information System Institute HES-SO Sierre 3960 Switzerland. Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC 3015 GD Rotterdam The Netherlands. Department of Computer Science University of Warwick Coventry CV4 7AL UK. Department of Radiation Oncology Massachusetts General Hospital Boston MA

In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.

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Mining smartphone generated data for user action recognition – Preliminary assessment

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AIP Conference Proceedings 2018年第1期2025卷

作者： J. Fijalkowski M. Ganzha M. Paprzycki S. Fidanova I. Lirkov C. Badica M. Ivanovic 1Faculty of Mathematics and Information Sciences Warsaw University of Technology ul. Koszykowa 75 00-662 Warsaw Poland 7LeanCode sp. z o.o. ul. Mokotowska 46A/25 00-543 Warsaw Poland 2Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland 6Warsaw Management Academy ul. Kaweczynska 36 03-772 Warsaw Poland 3Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev bl. 25A 1113 Sofia Bulgaria 4Software Engineering Department Faculty of Automatics Computers and Electronics 107 Decebal Blvd. Craiova RO-200440 Romania 5University of Novi Sad Faculty of Sciences Department of Mathematics and Informatics Trg D. Obradovica 4 Novi Sad Serbia

Smartphones became everyday “companions” of humans. Almost everyone has a smartphone in their pocket, or bag, and use it on daily basis. Modern smartphones are “loaded” with sensors, providing streams of, potentially useful, data. Simultaneously, staying fit, exercising, running, swimming, etc. became fashionable. In this “climate”, employers can try to incentivise their workers, for instance, to use bicycles to come to work. Here, one of interesting questions becomes: are workers actually using bicycles, as declared, or do they try to subvert the system and win prizes, while, for instance, using public transport. One of the ways to check this could be to use data from smartphone sensors to determine the mode of transportation that has been *** paper presents preliminary results of an attempt at using raw sensor data and deep learning techniques for transportation mode detection, in real-time, directly on smartphone. The work tries to balance sensor power consumption and computational requirements with prediction correctness and response time. In this context, results of application of recurrent neural networks, as well as more traditional approaches, to a set of actual mobility data, are presented. Furthermore, approaches that leverage domain knowledge, in order to make classifiers more reliable and requiring less processing power (and less energy), are considered.

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Estimation problem for network model at state and measurements attacks and information cost criterion

Estimation problem for network model at state and measuremen...

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International Conference on Control, Automation and systems ( ICCAS)

作者： Mikolaj Karpmski Vasyl Martsenyuk Iryna Gvozdetska Bakhytzhan Akhmetov Nazym Zhumangalieva Akademia Techniczno Humanistyczna w Bielsku-Bialej Bielsko-Biala PL NAES of Ukraine Institute of Information Technologies and Learning Tools Kyiv Ukraine Department of Computer Science and Automatics University of Bielsko-Biala Bielsko-Biala Poland Ternopil State Medical University Ternopil Ukraine Institute of Information and Telecommunication Technologies Kazakh National Research Technical University after K.I. Satpavev Almaty Kazakhstan Department of Computer Science and Software Engineering Kazakh National Research Technical University after K.I. Satpayev Almaty Kazakhstan

ISBN: (纸本)9781467390583

The purpose of this research is to offer constructive algorithm for estimator search in one network model under state and measurements attacks. The model is nonstationary descriptor system including difference equations for node state variables and algebraic equations for measurements. State variables and measurements are considered as random vectors. We use information cost criterion in order to find optimal estimator of inner product. The main algorithm is based on reducing estimation problem to a problem of optimal control. Mean-squared error independent on attacks is obtained.

关键词： Estimation Mathematical model Optimal control White noise Covariance matrices Mutual information Computational modeling

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PSS Design Considering Feedback from the Entire Product-service Lifecycle and Social Media

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Procedia CIRP 2016年 47卷 156-161页

作者： Dimitris Mourtzis Sophia Fotia Marta Gamito Rui Neves-Silva Ana Correia Philipp Spindler Giuditta Pezzotta Monica Rossi Laboratory for Manufacturing Systems and Automation Department of Mechanical Engineering and Aeronautics University of Patras Patras 26500 Greece Institute for the Development of New Technologies UNINOVA Campus da FCT 2829-516 Caparica Portugal Institute for Applied System Technology ATB-Bremen Wiener Str. 1 D-28359 Bremen Germany Department of Management Information and Production Engineering University of Bergamo viale Marconi 5 Dalmine (BG) 24044 Italy Department of Management Economics and Industrial Engineering Politecnico di Milano via Lambruschini 4b Milano (MI) 20156 Italy

In the globally competitive market landscape, companies, in order to remain sustainable, must shift their focus towards constantly improving their PSS offerings by incorporating lean thinking approaches. PSS are complex, dynamic, and multi-dimensional systems, which are supported by appropriate infrastructure and networks. At the same time, PSS require robust engineering methods and tools for their design, which allow multi-dimensional exchange of knowledge between the designers and the relevant stakeholders across the value chain. Currently, enabling technologies such as Cloud technology, social media and networking, knowledge management, and context sensitivity present new possibilities to enhance the knowledge exchange and the collaborative process of PSS design. These technologies allow the gathering and analysis of big volumes of data from scattered heterogeneous IT systems and, at the same time, allow PSS design improvements by processing the experiences of the business customers, consumers, designers, shop-floor, and provide feedback to the design phase. However, a number of challenges are encountered during the gathering, visualization, monitoring, and assessment of related data, such as the lack of context sensitivity. Simultaneously, PSS evaluation approaches are still immature and there is limited work that correlates the impact of the entire PSS lifecycle with the performance assessment of the PSS design. The present work includes a review of the aforementioned technologies from academic, market, and industrial perspectives. Based on an extensive literature review and on constructive discussions with three European SMEs, several barriers and limitations of adopting the aforementioned technologies in practice are identified. Finally, a conceptual eco-innovative framework for lean PSS design is presented, explaining how these technologies could be combined for the improvements of PSS design and evaluation procedures.

关键词： Lean PSS Social-media Networking Context Sensitivity

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Calibration of a three-dimensional photodynamic therapy illumination system and its segmentation assessment for port-wine stains

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Photonics and Lasers in Medicine 2016年第3期5卷 195-202页

作者： Feng, Yun Hu, Xiaoming Zhou, Ya Wang, Yong School of Software Beijing Institute of Technology No. 5 Zhong Guan Cun South Street Haidian District Beijing China School of Life Science Key Laboratory of Convergence Medical Engineering System and Healthcare Technology Ministry of Industry and Information Technology Beijing Institute of Technology No. 5 Zhong Guan Cun South Street Haidian District Beijing China School of Optoelectronics Beijing Institute of Technology No. 5 Zhong Guan Cun South Street Haidian District Beijing China

The uniformity of light dosimetry is an important parameter that affects the efficacy of photodynamic therapy (PDT). Although this uniformity can be improved by a three-dimensional (3D) digital PDT illumination system, it has a low field-of-view (FOV) utilization rate. A checkerboard calibration method using color coding is proposed to calibrate both the projector and camera of the system with a broad common FOV. Experiments reveal that the proposed method increases the utilization rate by up to three times compared with noncolor-coding methods with almost the same accuracy. A fine distinction of phantom lesions in the 3D system can be obtained by clustering, which may be used to optimize the treatment and light-dosimetry evaluation. © 2016 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Calibration

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Feature Model Driven Generation of software Artifacts

Feature Model Driven Generation of Software Artifacts

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Federated Conference on Computer Science and information systems

作者： Roman Taborsky Valentino Vranic Institute of Informatics and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava

ISBN: (纸本)9781479967476

The objective of feature modeling is to foster software reuse by enabling to explicitly and abstractly express commonality and variability in the domain. Feature modeling alone is not sufficient to express all the aspects of the software being developed. Other models and, eventually, code is necessary. These software assets are being configured by the feature model based on the selection of variable features. However, selecting a feature is far from a naive component based approach where feature inclusion would simply mean including the corresponding component. More often than not, feature inclusion affects several places in models or code to be configured requiring their nontrivial adaptation. Feature inclusion recalls transformation and this is at heart of the approach to feature model driven generation of software artifacts proposed in this paper. Features are viewed as solution space transformations that may be executed during the generative process conducted by the feature model configuration.

关键词： Feature modeling Transformation Metatrans-formation Generative process Reuse

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Bovine Serum Albumin stability in the context of biosensors

Bovine Serum Albumin stability in the context of biosensors

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International Conference on Control, Automation and systems

作者： Aleksandra Klos-Witkowska Bakhytzhan Akhmetov Nazym Zhumangalieva Volodymyr Karpinskyi Tomasz Gancarczyk Department of Computer Science and Automatics University of Bielsko-Biala Institute of Information and Telecommunication Technologies Kazakh National Research Technical University after K.I. Satpayev Department of Computer Science and Software Engineering Kazakh National Research Technical University after K.I. Satpayev 3D Scanners UK Ltd The TechnoCentre Coventry University

ISBN: (纸本)9781467390583

The paper presents the impact of external conditions such as: reduced temperature (L), microwave radiation (P), on the stability of Bovine Serum Albumin. As comparison controlled sample was kept in room condition (WP). The protein beyond the wide application in pharmacokinetics and pharmacodynamics drug study, is also widely used in the biosensors construction. In order to study UV-Vis spectroscopy, absorption spectra was taken. The changes with time of the protein in different concentrations (0.25, 0.5, 1, 2, 3, 4) mg/mL was observed. Base on the study, BSA (2mg/mL) was chosen and exposed to different factors (L, P, WP). Absorption spectra monitoring revealed protein changes with time after exposition to different factors. The results showed an increase in absorption, associated with the conformational changes of BSA with time. This effect was more visible for samples with high concentrations (4, 3, 2 mg/mL) than for lower one (0, 25, 0.5, 1mg/mL). Investigation on the protein stability influenced by external factors with time, showed tendency to maintain stability of BSA in low temperature (L) and the trend to accelerate aging of proteins under the influence of microwave radiation. The observed trend of change, under the influence of external factors was more evident with time.

关键词： Biosensor BSA UV-vis spectroscopy Receptor layer Stability

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UIR-PKU: Twitter-OpinMiner system for Sentiment Analysis in Twitter at SemEval 2015 9

UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in ...

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9th International Workshop on Semantic Evaluation, SemEval 2015

作者： Han, Xu Li, Binyang Ma, Jing Zhang, Yuxiao Ou, Gaoyan Wang, Tengjiao Wong, Kam-Fai School of Information and Technology University of Information Relations Beijing China Dept. of Sys. Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong School of Information Science Peking University Beijing China Shenzhen Research Institute The Chinese University of Hong Kong Hong Kong MoE Key Laboratory of High Confidence Software Technologies China

ISBN: (纸本)9781941643402

Microblogs are considered as We-Media information with many real-time opinions. This paper presents a Twitter-OpinMiner system for Twitter sentiment analysis evaluation at SemEval 2015. Our approach stems from two different angles: topic detection for discovering the sentiment distribution on different topics and sentiment analysis based on a variety of features. Moreover, we also implemented intra-sentence discourse relations for polarity identification. We divided the discourse relations into 4 predefined categories, including continuation, contrast, condition, and cause. These relations could facilitate us to eliminate polarity ambiguities in compound sentences where both positive and negative sentiments are appearing. Based on the SemEval 2014 and SemEval 2015 Twitter sentiment analysis task datasets, the experimental results show that the performance of Twitter-OpinMiner could effectively recognize opinionated messages and identify the polarities. © 2015 Association for Computational Linguistics

关键词： Sentiment analysis

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Affecting Applications in Android Using Aspects

Affecting Applications in Android Using Aspects

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IEEE International Workshop on Consumer Electronics

作者： Ivan Martos Valentino Vranic Institute of Informatics and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava Slovakia

ISBN: (纸本)9781509042692

Aspect-oriented programming enables to affect existing code without having to make changes to it. By this, changes remain modularized and as such are easily activated or deactivated with a high potential of direct reusability in other applications. However, aspect-oriented programming on mobile platforms is practically unexploited, despite the whole range of opportunities such as usage monitoring, power monitoring, altering sensor values, or altering applications. In this paper, we explore possibilities of using aspect-oriented programming in the AspectJ programming language and demonstrate how to alter the GPS sensor output, phone signals, and deal with the Context class as a gate to the Android services.

关键词： aspect-oriented programming Android mobile device change GPS notifications Android services Aspect!

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Simulator Supported Mobile Application Development

Simulator Supported Mobile Application Development

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IEEE International Workshop on Consumer Electronics

作者： Ján Lang Maros Urbancok Institute of Informatics and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava Slovakia

ISBN: (纸本)9781509042692

Each device which a person interacts with has naturally restrictions. This also applies to mobile devices. A major limiting factor is the size of the active area of the display element. Solutions of that handicap often require user interaction. Increasing the size of the display unit increases the size of the device itself. The size-larger devices reduce comfort of their normal use. In this paper we present our experience in application implementation for mobile device. We have encountered some problems related to visualization restrictions. To exploit the technological potential of a mobile device we have implemented an application which had to improve motivational aspects by gamification.

关键词： mobile device display visualization restrictions gamification

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