Proteins are biomolecules of life. They fold into a great variety of three-dimensional (3D) shapes. Underlying these folding patterns are many recurrent structural fragments or building blocks (analogous to 'LEGO&...
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ISBN:
(纸本)9781479913282
Proteins are biomolecules of life. They fold into a great variety of three-dimensional (3D) shapes. Underlying these folding patterns are many recurrent structural fragments or building blocks (analogous to 'LEGO® bricks'). This paper reports an innovative statistical inference approach to discover a comprehensive dictionary of protein structural building blocks from a large corpus of experimentally determined protein structures. Our approach is built on the Bayesian and information theoretic criterion of minimum message length. To the best of our knowledge, this work is the first systematic and rigorous treatment of a very important data mining problem that arises in the cross-disciplinary area of structural bioinformatics. The quality of the dictionary we find is demonstrated by its explanatory power - any protein within the corpus of known 3D structures can be dissected into successive regions assigned to fragments from this dictionary. This induces a novel one-dimensional representation of three-dimensional protein folding patterns, suitable for application of the rich repertoire of character-string processing algorithms, for rapid identification of folding patterns of newly determined structures. This paper presents the details of the methodology used to infer the dictionary of building blocks, and is supported by illustrative examples to demonstrate its effectiveness and utility.
Visual servo stabilization of nonholonomic mobile robots has gained extensive attention. However, currently, the solution of the problem does not consider both the visibility constraints and the actuator limitations, ...
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Visual servo stabilization of nonholonomic mobile robots has gained extensive attention. However, currently, the solution of the problem does not consider both the visibility constraints and the actuator limitations, so the designed controller is difficult to realize satisfactory performance in practical application. In this paper, a predictive controller for the visual servo stabilization of a mobile robot is presented. Firstly, a kinematic predictive stabilization controller utilized to generate the command of velocity is introduced. Then, in order to make the actual velocity of the mobile robot asymptotically approach to the desired one, a dynamic predictive controller is designed. The proposed predictive controller can deal with the constraints easily. Finally, several simulations are performed, and the results illustrate that the proposed control scheme is effective to solve the visual servo stabilization problem.
Workflows can be specified using different languages. Mainstream workflow management systems predominantly use procedural languages having a graphical representation involving AND/XOR splits and joins (e.g., using BPM...
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作者:
Clements-Croome, DerekComputer Science Department
Escuela Politecnica Superior Universidad Autonoma de Madrid C/Francisco Tomás y Valiente 28049 Madrid Spain Software Engineering Department
Faculty of Automatics Computers and Electronics University of Craiova Bvd. Decebal 107 200440 Craiova Romania Applied Research Laboratory
Information Science and Technology Division Pennsylvania State University 204 V Applied Science Building University Park PA 16802 United States Systems Engineering Section
Faculty of Technology Policy and Management Delft University of Technology Jaffalaan 5 2628BX Delft Netherlands
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Many advances in science now require sophisticated scientific software applications that facilitate data and computationally intensive experiments. However, the effective utilization of existing computational power e....
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ISBN:
(纸本)9781479903702
Many advances in science now require sophisticated scientific software applications that facilitate data and computationally intensive experiments. However, the effective utilization of existing computational power e.g., grid and cloud platforms depends on the capabilities of scientists to implement parallel, scalable code for such experiments. Currently, tools aimed at supporting scientists are either very limited to specific domains, or require significant development using low-level code. We describe our work towards a more end user-friendly scientific applications development process, notations and toolset. We introduce a scientific application designer intended for use primarily by scientists to enable them in describing workflow, processes, entities, formulae, computation and ultimately realization code for different computing platforms. This is achieved via a set of integrated, domain-specific visual and textual languages (DSVLs). A Web-based modeling tool supports definition of new DSVLs and modeling of these applications. We are currently extending our tool to support generation of multi-core and GPU implementations, and visualization of results.
The increasing spread of location-based services (LBSs) has led to a renewed research interest in the security of services. To ensure the credibility and availability of LBSs, there is a pressing requirement for addre...
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This paper addresses how to construct a RBAC-compatible attribute-based encryption (ABE) for secure cloud storage, which provides a user-friendly and easy-to-manage security mechanism without user intervention. Simila...
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Traceability benchmarks are essential for the evaluation of traceability recovery techniques. This includes the validation of an individual traceability technique itself and the objective comparison of the technique w...
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ISBN:
(纸本)9781479902262
Traceability benchmarks are essential for the evaluation of traceability recovery techniques. This includes the validation of an individual traceability technique itself and the objective comparison of the technique with other traceability techniques. However, it is generally acknowledged that it is a real challenge for researchers to obtain or build meaningful and robust benchmarks. This is because of the difficulty of obtaining or creating suitable benchmarks. In this paper, we describe an approach to enable researchers to establish affordable and robust benchmarks. We have designed rigorous manual identification and verification strategies to determine whether or not a link is correct. We have developed a formula to calculate the probability of errors in benchmarks. Analysis of error probability results shows that our approach can produce high quality benchmarks, and our strategies significantly reduce error probability in them.
Speech processing systems often operate in noisy and reverberant environments. Their operation is subject to the accuracy of the underlying noise reduction algorithm, that aims to reduce noise present in the signals t...
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Speech processing systems often operate in noisy and reverberant environments. Their operation is subject to the accuracy of the underlying noise reduction algorithm, that aims to reduce noise present in the signals that are captured by the employed microphones. Under adverse conditions a noise reduction scheme, failing to perform adequately, will produce results characterised by speech distortions (metallic or clipping voice) and/or fluctuating residual background noises, the result of inaccuracy in estimating the noise spectrum, known as musical noise. In this paper, performance enhancement when employing a statistical model based Voice Activity Detector (VAD) in combination with noise reduction, is presented in terms of residual noise suppression within silence intervals and short pauses during speech production. To this end, an efficient noise reduction architecture has been developed relying on cascading a previously presented presented denoising scheme. This way, we initially subtract primary noise and then consequently use the same technique, with specific parameter adjustments, to remove spectral subtraction artefacts such as musical noise or noise leftovers that were generated by the first stage. Simulations under various noise types and intensities indicate significant performance enhancement when employing the proposed system.
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