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Digital Signal Processing and its Applications (DSPA), International Conference on

作者： Alan K. Alimuradov Alexander Yu. Tychkov Dmitry S. Dudnikov Mikhail A. Tyurin Marat I. Yuskaev Maria G. Myasnikova Danil S. Moiseev Student Research and Production Business Incubator Penza State University Penza Russia Department of Radio Engineering and Radioelectronic Systems Penza State University Penza Russia Department of Automation and Telemechanics Penza State University Penza Russia Department of Information Systems and Programming Leninogorsk Oil College Leninogorsk Russia

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.

关键词： Emotion recognition Recurrent neural networks Databases Neurons Signal processing algorithms Digital signal processing Speech processing

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A case study of software testers

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AI EDAM 2009年第1期3卷 35-51页

作者： Robin Lampert David Hamilton Elliot Soloway Yale 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 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.

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Impact of fluctuation interferences to the responders performance of secondary surveillance radar system

Impact of fluctuation interferences to the responders perfor...

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International Conference on Radio Electronics & Info Communications (UkrMiCo)

作者： I.V. Svyd A.E. Goriushkina G.E. Zavolodko O.S. Maltsev Dept. Radiotechnologies Information and Communication Systems Kharkiv National University of Radio Electronics KNURE Kharkiv Ukraine Department of Computer science and Programming National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine Department of Information Systems National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine

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.

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Development of a visual programming tool called SmrAI for function testing to mitigate the shortage of programming personnel in the manufacturing

Computer Software

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Computer Software 2022年第4期39卷 61-74页

作者： Sugiyama, Ko-Ichiro Okuda, Satsuki Tanabe, Tsubasa Takao, Kouji Higashi, Hirohito Tanaka, Kazuaki Dept. of Information Engineering National Institute of Technology Matsue College Japan NIPPO Co. Ltd. Japan Ruby Programming Shounendan Japan Shimane IT Open-innovation Center Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Japan

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 personnel in the manufacturing. SmrAI is based on Smalruby, which can convert Scratch Blocks into Ruby code. In addition, SmrAI introduces two new sets of Blocks that wrap existing Ruby libraries for function testing. Since existing tools and libraries were utilized, the cost of developing SmrAI was low, and there were no changes in the function testing procedure. We conducted a verification test using staff members who were familiar with the function testing process but had little or no programming experience, and confirmed that they were able to program using SmrAI and that they had confidence in its business applications. These results are expected to contribute to the diversification and increase of programming personnel responsible for function test programming. © 2022 Japan Society for Software Science and Technology. All rights reserved.

关键词： Application programs

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Two Algorithms for Designing Control over Centerof-Mass Motion of a Moving Object with Incomplete Description

Two Algorithms for Designing Control over Centerof-Mass Moti...

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International Conference on Control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： S. I. Kolesnikova Yu. I. Paraev S. A. Tsvetnitskaya Institute of Computational Systems and Programming St.Petersburg State University of Aerospaсe Instrumentation St. Petersburg Russia Institute of Applied Mathematics and Computer Science National Research Tomsk State University Tomsk Russia

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).

关键词： Regulators Uncertainty Robot kinematics Stochastic processes Process control Control systems Transient analysis

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Robust representation and execution of robot plans

Robust representation and execution of robot plans

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Euromicro Workshop on Real Time

作者： D.M. Lyons S. Mehta P.S. Gopinath North American Philips Corp. Briarcliff Manor NY USA Autonomous Systems Department Philips Laboratories North American Philips Corporation Briarcliff Manor NY USA Computer Architecture and Programming Systems Department Philips Laboratories North American Philips Corporation Briarcliff Manor NY USA

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.< >

关键词： Robustness Robotics and automation Monitoring Timing Humans Testing Semiconductor device modeling Computer architecture Robot programming Laboratories

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Benchmarking Photonic Quantum Machine Learning Simulators 17

Benchmarking Photonic Quantum Machine Learning Simulators

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17th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2023

作者： Varga, Henrik Kiss, Attila Kolarovszki, Zoltan Elte Eötvös Loránd University Department of Algorithms and Their Applications Budapest Hungary Elte Eötvös Loránd University Department of Information Systems Budapest Hungary J. Selye University Department of Informatics Komárno Slovakia Department of Programming Languages and Compilers Elte Eotvos Lorand University Budapest Hungary Wigner Research Centre for Physics Department of Computational Sciences Budapest Hungary

ISBN: (纸本)9798350321104

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 computing. For simulating photonic quantum circuits, Strawberry Fields is the most popular framework. In this paper, we compared it with another framework currently under development called Piquasso regarding gradient calculation time, which is an essential part of continuous-variable quantum neural networks. We present the apparent scalability of Piquasso over Strawberry Fields by storing fewer data, but leading to possible accuracy differences as a trade-off, which could motivate future work. © 2023 IEEE.

关键词： Quantum optics

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Promising Developments in Cyber Physical System Tools for Background Monitoring of Reserve Landscape 11

Promising Developments in Cyber Physical System Tools for Ba...

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11th International Conference on Advanced Computer Information Technologies, ACIT 2021

作者： Nykolaychuk, Yaroslav Grynchychyn, Taras Pitukh, Ihor Petrashchuk, Yaroslav Nykolaychuk, Lyubov Hryha, Volodymyr West Ukrainian National University Department of Specialized Computer Systems Ternopil Ukraine Nadvirna Vocational College by National Transport University Department of Programming and Information Technologies Nadvirna Ukraine Gorgany Nature Reserve Nadvirna Ukraine Ivano-Frankivsk National Technical University of Oil and Gas Department of Social Communication and Law Ivano-Frankivsk Ukraine Vasyl Stefanyk Precarpathian National University Department of Computer Engineering and Electronics Ivano-Frankivsk Ukraine

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 computerized systems, replicated by many companies, are systematized and their functional limitations are determined. The legal and system requirements for the implementation of this class of information system components, which can be applied in strict Nature Reserve, are clarified. It is proposed to expand the functionality and increase the reliability of the ring-star system for background monitoring of nature reserves based on binary-manipulated optical signals. A sensor system for measuring the height of snow cover along the monitoring route is developed using a relay sensor network and quadcopters. © 2021 IEEE.

关键词： Cyber Physical System

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Supervised Learning for Yaw Orientation Estimation

Supervised Learning for Yaw Orientation Estimation

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International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Tobias Feigl Christopher Mutschler Michael Philippsen Machine Learning and Information Fusion Group Fraunhofer Institute for Integrated Circuits IIS Nuremberg Germany Machine Learning and Data Analytics Lab Friedrich-Alexander University Erlangen-Nürnberg Erlangen Germany Programming Systems Group

With free movement and multi-user capabilities, there is demand to open up Virtual Reality (VR) for large spaces. However, the cost of accurate camera-based tracking grows with the size of the space and the number of users. No-pose (NP) tracking is cheaper, but so far it cannot accurately and stably estimate the yaw orientation of the user's head in the long-run. Our novel yaw orientation estimation combines a single inertial sensor located at the human's head with inaccurate positional tracking. We exploit that humans tend to walk in their viewing direction and that they also tolerate some orientation drift. We classify head and body motion and estimate heading drift to enable low-cost long-time stable head orientation in NP tracking on 100 m×100 m. Our evaluation shows that we estimate heading reasonably well.

关键词： Magnetic heads Feature extraction Acceleration Tracking Head Accelerometers Estimation

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Input Data Time Range Impact on Forecast Quality Using Automated Procedures

Input Data Time Range Impact on Forecast Quality Using Autom...

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Computer Science (COMSCI), International Scientific Conference on

作者： Kiril Andreev Koparanov Elena Ventseslavova Antonova Ognyan Nakov Nakov Daniela Veleva Minkovska Krasin Krasimirov Georgiev Lyudmila Yordanova Stoyanova Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia 8 Kliment Ohridski blvd Sofia Bulgaria Department of Computer Systems Faculty of Computer Systems and Technologies Technical University of Sofia 8 Kliment Ohridski blvd Sofia Bulgaria Department of Air Transport Faculty of Transport Technical University of Sofia 8 Kliment Ohridski blvd Sofia Bulgaria

Easy access to time series forecasting provides a strong competitive advantage for any company or organization. As automated forecasting environments become more prevalent in the market, it is crucial to explore their capabilities and features to utilize them competently. This study demonstrates the influence of data coverage on prediction accuracy and validates the initial assumption. Based on the findings, recommendations have been presented to enhance the quality of predictive processes.

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