This volume contains a selection of revised papers that were presented at the Software Aspects of Robotic systems, SARS 2011 Workshop and the Machine Learning for System Construction, MLSC 2011 Workshop, held during O...
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ISBN:
(数字)9783642347818
ISBN:
(纸本)9783642347801
This volume contains a selection of revised papers that were presented at the Software Aspects of Robotic systems, SARS 2011 Workshop and the Machine Learning for System Construction, MLSC 2011 Workshop, held during October 17-18 in Vienna, Austria, under the auspices of the International Symposium Series on Leveraging Applications of Formal Methods, Verification, and Validation, ISoLA. The topics covered by the papers of the SARS and the MLSC workshop demonstrate the breadth and the richness of the respective fields of the two workshops stretching from robot programming to languages and compilation techniques, to real-time and fault tolerance, to dependability, software architectures, computer vision, cognitive robotics, multi-robot-coordination, and simulation to bio-inspired algorithms, and from machine learning for anomaly detection, to model construction in software product lines to classification of web service interfaces. In addition the SARS workshop hosted a special session on the recently launched KOROS project on collaborating robot systems that is borne by a consortium of researchers of the faculties of architecture and planning, computer science, electrical engineering and information technology, and mechanical and industrial engineering at the Vienna University of Technology. The four papers devoted to this session highlight important research directions pursued in this interdisciplinary research project.
LC/MS is a successful analysis technique for the statistical analysis used in several branches of biology. It requires an intense screening and combination of the raw data, which is usually done with programs and libr...
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LC/MS is a successful analysis technique for the statistical analysis used in several branches of biology. It requires an intense screening and combination of the raw data, which is usually done with programs and libraries invoked by scripts in the domain-specific statistics language S or R. We show here how to model and implement this complex workflow in a service-oriented fashion, using the jABC service definition environment and jETI for remote service integration and execution.
An accuracy of classifying human emotional states from speech has been dependent on emotional speech database, speech signal processing algorithms, and classification methods. Numerous static and dynamic classificatio...
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An accuracy of classifying human emotional states from speech has been dependent on emotional speech database, speech signal processing algorithms, and classification methods. Numerous static and dynamic classification techniques are used for emotional state recognition. The paper considers a novel method for classifying natural positive, negative, and neutral human emotional states based on a five-layer Recurrent Neural Network (RNN). The method novelty is due to various neuron activation functions employed for each network layer stemming from the peculiarities of natural emotional speech informative parameters used as input data for the neural network. Local and global informative speech parameters relevant to human emotional states are outlined, and the known classification methods are surveyed. The proposed classification method is described, and the developed Russian database of natural emotional speech is presented. The research results compared with the widely used classification methods have evidenced 95 % accuracy of the developed method, which can be effectively tested in systems for detecting and classifying natural human emotional states from speech.
作者:
Robin LampertDavid HamiltonElliot SolowayYale University
Department of Computer Science Cognition and Programming Project P. O. Box 2158 Yale Station New Haven CT 06520 IBM
Systems Integration Division 3700 Bay Area Blvd. Houston TX 77058 U.S.A.
In an effort to learn more about how testers test code, we observed several testers while they designed tests to check a change which had been made to code. Using a case study methodology, we gathered empirical data f...
In an effort to learn more about how testers test code, we observed several testers while they designed tests to check a change which had been made to code. Using a case study methodology, we gathered empirical data from the ‘real world’—professional testers, and actual software products. We found that testers do share some common work patterns. These patterns can be seen in their information gathering, their use of heuristics and their construction of mental models. This work is extremely knowledge intensive, experience appears to have a useful effect. In this paper we will discuss how we collected and analysed our data. Then we will present some of our observations about how the testers gathered information, used heuristics, formed mental models and were affected by their previous experience in the course of designing their test scenarios. Based on these observations we comment on training and tools for testers.
The principle of network construction and the principle of request signals service of Secondary surveillance radar systems predetermined the work of the respondents of the considered systems in conditions of intra-sys...
ISBN:
(数字)9781538652640
ISBN:
(纸本)9781538652657
The principle of network construction and the principle of request signals service of Secondary surveillance radar systems predetermined the work of the respondents of the considered systems in conditions of intra-system and intentional correlated and uncorrelated interferences. The article estimates the impact of masking fluctuation interferences on the quality of the request signals detection. It is shown that the choice of time-interval codes as the request signals predetermined the low noise immunity of the considered systems when a channel is exposed by the fluctuation interference.
We have developed a visual programming tool called SmrAI for function testing, and investigated whether wrapping existing source code with Scratch Blocks is an effective means of mitigating the shortage of programming...
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The methods of nonlinear adaptation based on an analytical design of aggregated regulators and modal control are discussed for solving the problem of nonlinear control over a robotic arm operating under the conditions...
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ISBN:
(数字)9781728188409
ISBN:
(纸本)9781728181134
The methods of nonlinear adaptation based on an analytical design of aggregated regulators and modal control are discussed for solving the problem of nonlinear control over a robotic arm operating under the conditions of nonrandom noise. A comparative analysis of control is performed under different types of noise variables. It is shown that both control systems are adaptive and robust, while their transient process quality characteristics differ. The results of numerical modeling support the method of nonlinear adaptation as far as the value of overshoot is concerned in the case of nonrandom noise and evidence in favor of the method of modal control identifying the noise for off-design conditions (random high level noise).
The construction of real-time software for autonomous robot systems that can operate in an uncertain and dynamic environment is considered. Techniques for representing robust robot plans using the RS (robot schema) mo...
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The construction of real-time software for autonomous robot systems that can operate in an uncertain and dynamic environment is considered. Techniques for representing robust robot plans using the RS (robot schema) model are developed which make it possible to separate planned decision-making from error monitoring; they give a modular way to embed error detection, diagnosis, and recovery into plans, and via the formal tools of RS they allow one to analyze plans for error behavior. However, experience in implementing the RS kernel leads to the conclusion that robustness in the plan representation alone is not sufficient. Robustness must also be incorporated in the underlying system software to complement robustness in the plan representation model. Experiences with the initial implementation of the RS execution environment kernel also emphasized the need for operating system constructs that would support the robustness inherent in the model.< >
In the past few years, quantum computing has gotten more attention, and the need for efficient simulations is getting increasingly important as well. A significant branch of quantum computing is photonic quantum compu...
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Experience in designing and building cyber physical interactive distributed monitoring systems for industrial facilities and reserve landscapes is analyzed. Advantages of the existing interactive and dialogue computer...
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