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Separation virtual machine monitors

Proceedings of the 28th Annual Computer Security Applications Conference, 2012
Separation kernels are the strongest known form of separation for virtual machines. We agree with NSA's Information Assurance Directorate that while separation kernels are stronger than any other alternative, their construction on modern commodity hardware is no longer justifiable. This is because of orthogonal feature creep in modern platform hardware.
John P. McDermott   +4 more
openaire   +2 more sources

A separation model for virtual machine monitors

Proceedings. 1991 IEEE Computer Society Symposium on Research in Security and Privacy, 2002
A security policy is given for separation virtual machine monitors (SVMMs) and the authors interpret J.M. Rushby's (1981) separation model for SVMMs. Applying Rushby's technique yields a practical method for demonstrating that an implementation of an SVMM adheres to the abstract isolation axiom of the separation model, thus providing relatively strong ...
Nancy L. Kelem, Richard J. Feiertag
openaire   +1 more source

Binary separation and training support vector machines

Acta Numerica, 2010
We introduce basic ideas of binary separation by a linear hyperplane, which is a technique exploited in thesupport vector machine(SVM) concept. This is a decision-making tool for pattern recognition and related problems. We describe a fundamentalstandard problem(SP) and show how this is used in most existing research to develop a dual-based algorithm ...
R. Fletcher, ZANGHIRATI, Gaetano
openaire   +3 more sources

Onion Separation Machine by Grading

2019
The project presents the recent development and application of mechanical quality evaluation of products in the field of agricultural and food. It is very much essential to through light on basic concepts and technologies associated with mechanical linkages vision system, a tool used in image analysis and automated sorting and grading is highlighted.In
Behere, Vishal Krishna   +3 more
openaire   +1 more source

Convolutional Neural Turing Machine for Speech Separation

2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018
Long short-term memory (LSTM) has been successfully developed for monaural speech separation. Temporal information is learned by using dynamic states which are evolved through time and stored as an internal memory. The spectro-temporal data matrix of mixed signal is flattened as input vectors. There are twofold limitations.
Jen-Tzung Chien, Kai-Wei Tsou
openaire   +2 more sources

Blind source separation for acoustical machine diagnosis

2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628), 2003
Acoustical machine diagnosis is frequently made difficult by noisy environments at a production site. This paper evaluates whether blind source separation (BSS) algorithms can be used to enhance machine signals as they enhance speech signals. Unfortunately, the SNR is not significant, since as an energy based number it ignores distortions of the ...
Mirko Knaak, Matthias Kunter, D. Filberi
openaire   +2 more sources

Research on the fully automated separation machine for blood components separation

2008 7th World Congress on Intelligent Control and Automation, 2008
This paper conducts on the discussion of the disadvantages of the traditional blood separation technique, puts forward the brand-new blood separation theory and the fully automatic blood component separation machine system is developed. The separation machine system is composed of the upper PC with special purpose software HIT-WG-A installed, CAN ...
null Yufeng Yao   +2 more
openaire   +1 more source

Separately Excited DC Machine

1985
Direct current (DC) motors have been dominating the field of adjustable speed drives for over a century; they are still the most common choice if a controlled electrical drive operating over a wide speed range is specified. This is due to their excellent operational properties and control characteristics; the only essential disadvantage is the ...
openaire   +1 more source

Separated Random Number Generators for Virtual Machines

2017
High quality random numbers are essential for secure servers, alas virtual machines suffer from low entropy. The generation of hard to predict random numbers is a crucial problem. Moreover, existing solutions can pose severe security risks, e.g. by providing covert channels.
Clemens Fritzsch   +2 more
openaire   +2 more sources

Support Vector Machine Polyhedral Separability in Semisupervised Learning

Journal of Optimization Theory and Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Astorino A, FUDULI, Antonio
openaire   +4 more sources

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