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Time-machine computing

Jun Rekimoto
1999 Proceedings of the 12th annual ACM symposium on User interface software and technology - UIST '99  
This paper describes the concept of Time-Machine Computing (TMC), a time-centric approach to organizing information on computers.  ...  A system based on Time-Machine Computing allows a user to visit the past and the future states of computers.  ...  ACKNOWLEDGMENTS We thank Toshiyuki Masui, Yoshifumi Ueno, and Tota Hasegara for early exploration of time-machine computing ideas. Shigeki Nakamura contributed to the implementation the system.  ... 
doi:10.1145/320719.322582 dblp:conf/uist/Rekimoto99 fatcat:dbrm4e53mvep7kkkyqq4itwkam

A real-time Java virtual machine with applications in avionics

Austin Armbruster, Jason Baker, Antonio Cunei, Chapman Flack, David Holmes, Filip Pizlo, Edward Pla, Marek Prochazka, Jan Vitek
2007 ACM Transactions on Embedded Computing Systems  
This paper reports on our experience with the implementation of the Real-time Specification for Java on the Ovm open source Java virtual machine.  ...  We present the first use of Real-time Java in avionics in the context of control software for a ScanEagle Unmanned Aerial Vehicle. A. Armbruster et al.  ...  ACKNOWLEDGMENTS The authors thank Ken Luecke from Boeing and Chip Jones from Open Computing, Inc. for collaboration and development of the Boeing OEP.  ... 
doi:10.1145/1324969.1324974 fatcat:gkidcfbbcvagzbeihmoc4ckc7a

Technology Time Machine 2012 - Paving the path for the future technology developments [includes 9 white papers]

Wolfgang Lehner, Gerhard Fettweis
2012 2012 IEEE Technology Time Machine Symposium (TTM)  
The IEEE Technology Time Machine (TTM) is a unique event for industry leaders, academics, and decision making government officials who direct R&D activities, plan research programs or manage portfolios  ...  M2M will drive optimization that is based on a machine response time which is far smaller than any human time constant.  ...  The author would like to thank Jonas Hippold for assisting in the preparation of the paper.  ... 
doi:10.1109/ttm.2012.6509029 fatcat:24keba333benxbd7ffb5qzarum

Local polynomial space–time descriptors for action classification

Olivier Kihl, David Picard, Philippe-Henri Gosselin
2014 Machine Vision and Applications  
The spatial model is computed by projection of optical flow onto bivariate orthogonal polynomials. Then, the time evolution of spatial coefficients is modeled with a one dimension polynomial basis.  ...  We propose to apply a coding step to vector field before the modeling. We use two modeling, a spatial model and a temporal model.  ...  Efros et al. propose a descriptor computed on a figure-centric spatio-temporal volume for each person in a video [9] .  ... 
doi:10.1007/s00138-014-0652-z fatcat:a4xz4kwgnfg5dkmgovownlxtzq

Quantum Machine Learning in Finance: Time Series Forecasting [article]

Dimitrios Emmanoulopoulos, Sofija Dimoska
2022 arXiv   pre-print
Thus, QNNs can be used effectively to model time series having, at the same time, the significant advantage of being trained significantly faster than a classical machine learning model in a quantum computer  ...  Our results show that for time series signals consisting of small amplitude noise variations (up to 40 per cent of the amplitude of the deterministic signal) PQCs, with only a few parameters, perform similar  ...  Acknowledgements We would like to thank Lee Braine (Barclays) for his helpful feedback.  ... 
arXiv:2202.00599v1 fatcat:becslt73bveenm5sghcdrljngq

Recruitment in the Times of Machine Learning

Karolina Rąb-Kettler, Bada Lehnervp
2019 Management Systems in Production Engineering  
The author presents a narrower topic of human resources management but sees potential in the topic to develop a discussion on future of work in a broader sense.  ...  Humanistic management as a broader concept, and humanistic talent attraction as its direct implication, will be presented as an answer to the current technological development.  ...  Humanistic management, as an human-centric approach, where values play a principal role, is very relevant to create a welcoming working environment for the so-called creative class in particular, and generation  ... 
doi:10.1515/mspe-2019-0018 fatcat:ovjbeao7ebds7ofukaspeo6r5y

Real-Time Detection of Malware Downloads via Large-Scale URL->File->Machine Graph Mining

Babak Rahbarinia, Marco Balduzzi, Roberto Perdisci
2016 Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security - ASIA CCS '16  
A download event is a 3-tuple that identifies the action of downloading a file from a URL that was triggered by a client (machine).  ...  Mastino utilizes global situation awareness and continuously monitors various network-and system-level events of the clients' machines across the Internet and provides real time classification of both  ...  This work is also partially supported by a grant from the Auburn University at Montgomery Research Grant-in-Aid Program.  ... 
doi:10.1145/2897845.2897918 dblp:conf/ccs/RahbariniaBP16 fatcat:mgqmmavc4jfwzf3ztlxp4isvxq

An Architecture for Agile Machine Learning in Real-Time Applications

Johann Schleier-Smith
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
The platform developed at if(we) embodies a specific machine learning approach and a rigorous data architecture constraint, so allowing teams to work in rapid iterative cycles.  ...  The well-known Agile methodology advances projects in a chain of rapid development cycles, with subsequent steps often informed by production experiments.  ...  Real-time processing: A number of architectural paradigms exist for processing real-time information.  ... 
doi:10.1145/2783258.2788628 dblp:conf/kdd/Schleier-Smith15 fatcat:jr7r7wuz2fc3pbiyzuywqalj7m

Net-Centric Computing: The Future of Computers and Networking [chapter]

Arun K. Somani, Shubhalaxmi Kher
2006 Lecture Notes in Computer Science  
With the changes in the computing and networking environment we need a different paradigm for distributed computing.  ...  The area of net-centric computing encompasses the embedded systems but is much larger in scope.  ...  Figure 1 shows the environment for Net-centric computing.  ... 
doi:10.1007/11951957_2 fatcat:ijdd5limi5eo5fw65ujzjcdlcm

Service Centric Computing - Next Generation Internet Computing [chapter]

Jerry Rolia, Rich Friedrich, Chandrakant Patel
2002 Lecture Notes in Computer Science  
This tutorial introduces concepts of service centric computing and its relationship to the Grid.  ...  In this world scalable, cost-effective information technology capabilities will need to be provisioned as service, delivered as a service, metered and managed as a service, and purchased as a service.  ...  Thanks to Xiaoyun Zhu, Sharad Singhal, Jim Pruyne, and Martin Arlitt of HP Labs for their helpful comments regarding this tutorial paper.  ... 
doi:10.1007/3-540-45798-4_19 fatcat:s4eldoo3xzgqfkqt6ab5gavh4a

A Constant-Time Efficient Stereo SLAM System

Christopher Mei, Gabe Sibley, Mark Cummins, Paul Newman, Ian Reid
2009 Procedings of the British Machine Vision Conference 2009  
Continuous, real-time mapping of an environment using a camera requires a constanttime estimation engine. This rules out optimal global solving such as bundle adjustment.  ...  We introduce a simple but novel representation of the environment in terms of a sequence of relative locations.  ...  This approach represents each place using the bag-of-words model developed for image retrieval systems in the computer vision community [18, 22] .  ... 
doi:10.5244/c.23.54 dblp:conf/bmvc/MeiSCNR09 fatcat:m2vrit76szcy3evgqriy7ciqi4

Distributed Computing Challenges

Mr. Bhushan Talekar, Miss Sonali Chaudhari, Prof. Vinayak Shinde, Prof .Gayatri Masiwal
2014 IOSR Journal of Computer Engineering  
In recent years, distributed computing systems has been widely explored in order to improve system performance in terms of scalability and reliability.A distributed computing system allows the user to  ...  A distributed system also provides solutions to the complex scientific or engineering problems, such as weather forecasting, medical diagnoses, and stock portfolio management.  ...  Last but not least, we would like to thank our family and friends, who have been a source of encouragement and inspiration throughout the duration of the paper.  ... 
doi:10.9790/0661-162102831 fatcat:deay4fpgd5dahiteq3tx5wgwh4

A Real-Time Scheduling Mechanism of Resource for Multiple Virtual Machine System

Yunfa Li, Xianghua Xu, Jian Wan, Wanqing Li, Youwei Yuan
2010 2010 Fifth Annual ChinaGrid Conference  
Based on the basis of the model and the algorithm, we design a resource scheduling management style.  ...  In the optimized resource scheduling mechanism, we first propose an optimal resource scheduling model for reducing energy consumption.  ...  In addition, the virtualization technology can also provide secure and portable environments for these modern computing systems [5] .  ... 
doi:10.1109/chinagrid.2010.44 dblp:conf/chinagrid/LiXWLY10 fatcat:2o4ozvqebvb7ljycbixxd37ofi

Pervasive Computing and Healthcare [chapter]

Nilmini Wickramasinghe
2012 Pervasive Health Knowledge Management  
This is actually a very exciting time in healthcare delivery and one of the major challenges is to prudently adopt and implement appropriate pervasive healthcare solutions.  ...  To do this successfully, naturally requires a full appreciation of the key considerations in pervasive computing and healthcare; in particular, an appreciation of network healthcare operations.  ...  Background Pervasive or ubiquitous computing (the latter term was coined by Mark Weiser in 1988) is fundamentally a postdesktop model of human-computer interaction in which information processing has been  ... 
doi:10.1007/978-1-4614-4514-2_2 fatcat:hwk6ewd2lnbejesxg4sxlxfij4

Integrating Machine Learning Techniques to Adapt Protocols for QoS-enabled Distributed Real-time and Embedded Publish/Subscribe Middleware

Joe Hoffert, Daniel Mack, Douglas Schmidt
2010 Network Protocols and Algorithms  
Supervised machine learning techniques, such as artificial neural networks (ANNs) [3] and support vector machines (SVMs) [4] , are promising approaches to address the accuracy, time complexity, and development  ...  in a dynamic environment and (2) integrates multiple techniques to increase accuracy for environments known a priori and not known until runtime.  ...  for certain environmental configurations.  ... 
doi:10.5296/npa.v2i3.429 fatcat:ktzjp54rafh2bpzqlb3wfkcsh4
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