Evaluating the Torontonian function is a central computational challenge in the simulation of Gaussian Boson Sampling (GBS) with threshold detection. In this work, we propose a recursive algorithm providing a polynomi...
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In the work intelligent system of a smart house is developed, which is designed to create from any house, office, or building a smart room. The best solutions and tools were chosen to develop the system, which allowed...
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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).
This paper discusses the structural organization of the background monitoring system (BMS) of the transboundary UNESCO World Heritage Site 'Beech forests of the Carpathians and ancient beech forests of Germany'...
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In our previous work, we present on how new algorithms can be recognized and learned from human descriptions. In this case, end users are able to extend the given system by their own functionality. During the evaluati...
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In our previous work, we present on how new algorithms can be recognized and learned from human descriptions. In this case, end users are able to extend the given system by their own functionality. During the evaluation, due to language limits on the system, it could interpret only 59 % of user input correctly. In this paper, we provide an approach on the Dialog-based Meaning Derivation Service (DMDS). In case, user input does not match to the system knowledge, DMDS serves various word networks to find relevant synonyms as candidates for the unknown word. DMDS then tries to verify these candidates to the given knowledge base. Finally, matched candidates are presented to the end user by the dialog system for confirmation of a contextual match. The meaning is learned after the user confirmation and is mapped to the given functionality, and can be used afterwards. Therefore, the model developed in this work can be categorized as supervised learning. Finally, both the performance and the quality recorded by input from a user study were examined. However, DMDS improves the correct interpretation of the system from 59 % to 82 %. Our focus is to improve the interaction between humans and machines and enable the end user to instruct programmable devices, without having to learn a programming language.
The paper deals with the development of the method of activity and the realization of the intelligent agent (IA) for semantic analysis of the natural language software requirements. This IA performs the analysis of th...
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ISBN:
(纸本)9781728140704
The paper deals with the development of the method of activity and the realization of the intelligent agent (IA) for semantic analysis of the natural language software requirements. This IA performs the analysis of the requirements, determines the number and percentage of missing indicators for determining the metrics of complexity and quality of software, displays which indicators are missing for each metric, and also forms the real ontology of the domain "Software Engineering" (part "Quality and complexity of software. Metric analysis"). During an experiment, which is conducted with the help of the realized IA, the semantic analysis of requirements for the Internet of Things (IoT)-system was performed. Such analysis provides an increase of the volume and ensures of the sufficiency of metric information in the software requirements, which, in turn, provides an improvement in the quality of the software of IoT-system.
The Washington StateClimeTime Networkhas been designed to build capacity for climate science learning, as well as broader NGSS implementation. As a network, we acknowledge the diversity of scientific histories and pra...
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The Washington StateClimeTime Networkhas been designed to build capacity for climate science learning, as well as broader NGSS implementation. As a network, we acknowledge the diversity of scientific histories and practices and continue to explore these variations to deepen our teaching and learning of climate science. This paper provides visions of what we mean by climate science centered learning, principles for fostering climate science learning, and guidance for capacity-building to achieve systemic implementation of climate science learning.
This article describes the design and implementation of an Embedded Interactive Timing System. Such systems are used in the therapy of children who have learning problems. The matching of different beats can help the ...
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Language-Driven Engineering (LDE) is a new paradigm that aims at involving stakeholders, including the application experts, in the system development and evolution process using dedicated domains-specific languages (D...
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The formulation of quantum programs in terms of the fewest number of gate operations is crucial to retrieve meaningful results from the noisy quantum processors accessible these days. In this work, we demonstrate a us...
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