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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Multi-agent Reinforcement Learning for Unmanned Aerial Vehicle Capture-the-Flag Game Behavior 1

引用

Intelligent systems Conference (IntelliSys)

作者： Jacob, Tobias Duran, Daniel Pfeiffer, Trey Vignati, Micael Johnson, Matthew Inst Human & Machine Cognit 40 S Alcaniz St Pensacola FL 32502 USA

ISBN: (数字)9783031477188

ISBN: (纸本)9783031477171;9783031477188

This paper demonstrates the use of macro-action-based reinforcement learning to develop a decentralized game strategy for unmanned aerial vehicles in a real-world capture the flag game. Each agent chooses actions with only local observations. There is no global entity in control of the agents. Multi-agent reinforcement learning enables them to develop an effective team strategy, adapting to other agents by observing their behavior. We compare different choices for action spaces and show that sampling from a categorical output space is favorable over sampling from a continuous action space. All macro actions are implemented with hard-coded safety constraints such that no collisions between the agents or with the environment are possible. We successfully transfer simulation machine learning results to hardware. This approach is particularly favorable for real-world robotics because of the sample efficiency, potential for rapid iterations, and the ability to leverage strong and effective non-machine learned control techniques within the reinforcement learning approach.

关键词： Reinforcement learning Sim-2-Real transfer Multi-agent

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Deep and Contextually Engineered Features for Metaphor Detection

Deep and Contextually Engineered Features for Metaphor Detec...

引用

Intelligent systems Conference

作者： Razali, Md Saifullah Tajudin, Sarina Osman, Nurul Aida Ali, Fazlina Mohd PSB Acad Singapore Singapore Univ Teknol Petronas Seri Iskandar Perak Malaysia Univ Kebangsaan Malaysia Bangi Malaysia

ISBN: (纸本)9783031663352;9783031663369

The primary objective of this research is to develop an automated system capable of identifying metaphorical expressions in brief texts. This entails investigating the most effective features for this task, achieved through a combination of deep learning architecture and meticulously crafted contextual features. These methodologies will be thoroughly examined in this paper. Initial observations revealed that certain feature sets demonstrated strong individual performance, while others were less effective. However, through integration with the former, even the initially weaker sets proved highly beneficial. Subsequently, these combined feature sets were subjected to classification using various established machine learning algorithms. To ensure a comprehensive evaluation, all five algorithms were employed for comparison purposes. Notably, Support Vector Machine (SVM) emerged as the optimal algorithm for this task. Overall, the experimental outcomes exhibited favorable results across all evaluated metrics. Additionally, a comparative analysis of the results, particularly in terms of F1-measure, against existing works within the same domain is presented in this paper.

关键词： Metaphor detection Natural language processing Deep learning

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Fuzzy Analysis of Industry Anisotropy

Fuzzy Analysis of Industry Anisotropy

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Nedosekin, A. Malyukov, Y. Silakov, A. Abdoulaeva, Z. LLC Inst Financial Technol St Petersburg 194017 Russia Kosygin State Univ Russia Moscow 119071 Russia North Western State Med Univ St Petersburg 195067 Russia

ISBN: (纸本)9783031671913;9783031671920

Goal. To present a new approach to the analysis of industry anisotropy, based on layer-by-layer Pareto optimization and on the assessment of industry resilience using fuzzy MAC technology. Methodology. An industry is represented by its constituent companies, each of which is represented by two factors - resilience index (RI) and return on equity (ROE). In the two-dimensional RI-ROE field, layers of non-dominated Pareto alternatives are considered, identified using the author's method of layer-by-layer Pareto optimization. A possibilistic Markov chain is built on axiological probabilities. Result. An example of analysis of industry anisotropy in dynamics is presented, using the example of the global oil and gas sector. Conclusion. The methodology for studying industry anisotropy in dynamics presented in the report makes it possible to predict the dynamics of individual companies within an industry and estimation of axiological probabilities for a company moving from one industry layer to another. Fuzzy research of industry structure also allows for fairly reliable prediction of industry behavior based on aggregated indicators.

关键词： Industry Anisotropy Resilience Index (RI) Return on Equity (ROE) Layer-by-layer Pareto Optimization Matrix Aggregate Calculator (MAC) technology Possibilistic Markov Chain

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Enhancing Visual Passwords Using a Grid-Based Graphical Password Authentication to Mitigate Shoulder Surfing 4th

Enhancing Visual Passwords Using a Grid-Based Graphical Pass...

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4th Congress on Intelligent systems (CIS)

作者： Paul, P. Mano Jingle, I. Berin Jeba Jingle, I. Diana Jeba Alliance Univ Bengaluru Karnataka India Karunya Inst Technol & Sci Coimbatore Tamil Nadu India Christ Bengaluru Karnataka India

ISBN: (纸本)9789819990399;9789819990405

Surfing Shoulder Surfing is a secret phrase-based attack which is a serious worry of protection in data security. Alphanumeric passwords are more helpless to attacks like shoulder surfing, dictionary attacks, etc., than graphical passwords. The creation of more muddled, challenging to-break passwords can be made simpler for clients with graphical authentication by consolidating the visuals and memory-based strategies like recall and recognition. In an imaged-based password, the user can choose pixels from the image to use as a secret key in the grid-based strategy, the user-selected image would show up on the screen with a framework overlay on it, and the client can pick explicit lattices to set their secret phrase. Besides, graphical passwords are powerless against shoulder surfing attacks, and due to this, clients are given a one-time made password via email. We investigated the limitations of image-based and grid-based authentication techniques and propose a grid-based graphical authentication system that addresses the limitations of image-based and grid-based techniques. The results of the grid-based graphical technique, as well as the image-based and grid-based approaches, have likewise been differentiated and analyzed. The convenience objective of our authentication system is to assist users in making better password selections, hence boosting security and broadening the usable password field. This method can be employed in many different contexts, such as forensic labs, banking, military, and other scenarios.

关键词： Authentication Shoulder-surfing Security Usability Graphical

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Damageability Assessment of Impact-Resistant Glass for Transparent Armor systems

Damageability Assessment of Impact-Resistant Glass for Trans...

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International Scientific and Technical Conference on Integrated Computer Technologies in Mechanical Engineering - Synergetic Engineering (ICTM)

作者： Smetankina, Natalia Khvorostyanyi, Vadym Ustuhov, Denys Bodunov, Volodymyr Kachinska, Iryna Natl Acad Sci Ukraine Anatolii Pidgornyi Inst Mech Engn Problems 2-10 Pozharskogo St UA-61046 Kharkiv Ukraine Natl Acad Sci Ukraine GS Pisarenko Inst Problems Strength 2 Sadovo Botanichna St UA-01014 Kiev Ukraine Antonov Co 1 Akad Tupolieva St UA-03062 Kiev Ukraine

ISBN: (纸本)9783031614149;9783031614156

Currently, much effort is being devoted to developing experimental research methods to determine damage and fracture resistance of brittle materials under local contact load conditions using various indenters and punches. The paper offers an experimental approach for studying the damageability and residual impact resistance of structural elements made of laminated bullet-resistant glass with ballistic damage. The glass is considered as a laminated plate. The approach takes into account the influence of the location of the punch indentation zones relative to the epicenters of ballistic impacts, the network of branched surface and subsurface cracks with glass chips, as well as the influence of the glass edges on the destructive load. Damage to laminated impact-resistant plates was assessed during ballistic tests under conditions close to full-scale ones. The practical significance of the proposed approach lies in the possibility of its use for assessing the damageability and service life of the aircraft laminated impact-resistant glazing with ballistic damage for the period of repair, restoration and modernization of transparent armor systems.

关键词： Brittle materials Laminated plate Local punching

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The Probabilistic Characteristics of the Logarithmic Ratio of APSK Signal Adjacent Symbol Amplitudes 13th

The Probabilistic Characteristics of the Logarithmic Ratio o...

引用

13th Computer Science Online Conference

作者： Chernoyarov, Oleg Golpaiegany, Leila Litvinenko, Vladimir Litvinenko, Yuliya Tishukov, Boris Natl Res Univ MPEI Krasnokazarmennaya Str 14 Moscow 111250 Russia Univ Ayatollah Ozma Boroujerdi Boroujerd *** Iran Voronezh State Tech Univ Moscow Ave 14 Moscow 394026 Russia

ISBN: (纸本)9783031702846;9783031702853

To implement high-speed systems for transmitting discrete information, amplitude and phase-shift keyed signals are widely used. Differential shift keying of the ratio of the amplitudes of adjacent symbols makes it possible to abandon the calibration of the amplitude characteristics of the reception path, while determining the probabilistic characteristics of this ratio and especially its log-rhyme is relevant. In this paper it is shown that the probabilistic characteristics of the logarithm of the ratio of the amplitudes of adjacent symbols under the influence of Gaussian noise do not depend on the absolute levels of the signal and noise, but are determined only by their ratio. The corresponding approximate expressions are obtained, and the influence of the type of amplitude and phase-shift keyed signal constellation is studied and its parameters. Statistical simulation is carried out. It is noted that the research results can be used in the design of communication systems.

关键词： Radio signal Amplitude and phase-shift keying Differential shift keying Ratio of the amplitudes of adjacent symbols Amplitude code demodulation

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Leveraging Deep Collaborative Filtering for Advanced Recommender systems 4th

Leveraging Deep Collaborative Filtering for Advanced Recomme...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Abakarim, Sana Qassimi, Sara Rakrak, Said Cadi Ayyad Univ Fac Sci & Tech L2IS Lab Marrakech Morocco

ISBN: (纸本)9783031686498;9783031686504

In the field of personalized recommendations, collaborative filtering techniques have evolved from traditional methods to advanced recommendation systems powered by deep learning. This study thoroughly investigates this transformative evolution, delving into the com- plex workings of recommender systems. Beyond theoretical discussions, our investigation involves a practical evaluation of these techniques on a variety of datasets, including the Amazon and Movie-Lens datasets, representing the e-commerce and entertainment domains. Through this perspective, we better understand how recommendation models dynamically adapt, strategically leveraging deep learning to build advanced recommendation systems adapted to various real-world contexts. To assess the predictive capabilities of these models, we use metrics such as RMSE (Root Mean Square Error), MAE (Mean Absolute Error) and MSE (Mean Squared Error), offering qualified insight into the effective- ness of each technique, with a particular focus on the strategic use of deep learning for the development of advanced recommender systems. This analysis transcends exploration, offering practical implications for researchers and data scientists. Contributing to the current debate in the field, our study serves as a definitive guide for the design of recommender systems that strategically exploit deep learning, ensuring their relevance and effectiveness in a variety of application scenarios.

关键词： Recommender systems Comparative study Deep Learning Collaborative filtering Deep collaborative filtering

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Exploring the Intersection of Fuzzy Logic and Machine Learning: Applications and Advancements

Exploring the Intersection of Fuzzy Logic and Machine Learni...

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Imamguluyev, Rahib Imanova, Tunzala Hajiyev, Asian Farkhad, Durdana Rustamova Hajiyev, Ilham Baku Business Univ IT Dept 88a H Zardabi St AZ-1122 Baku Azerbaijan Azerbaijan Univ Architecture & Construct Dept Reclamat & Water Engn Construct Baku Azerbaijan Western Caspian Univ Mech & Math Dept Baku Azerbaijan Aydinoglu Acad November 8 AZ-1025 Baku Azerbaijan

ISBN: (纸本)9783031671913;9783031671920

This article delves into the synergistic realm where fuzzy logic and machine learning converge, uncovering their collaborative potential in various applications and showcasing the advancements achieved through their intersection. Fuzzy logic, known for handling uncertainty and imprecision, intertwines with machine learning algorithms to enhance decision-making processes in complex and dynamic environments. The exploration encompasses a survey of applications spanning diverse domains, elucidating how the fusion of fuzzy logic and machine learning brings about novel solutions. Furthermore, the article delves into the advancements made in methodologies, algorithms, and frameworks that leverage this intersection, paving the way for improved system performance and adaptability. Through comprehensive analysis and case studies, this work provides valuable insights into the evolving landscape of fuzzy logic and machine learning integration, emphasizing its significance in addressing contemporary challenges and fostering innovation.

关键词： Fuzzy Logic Machine Learning Synergistic Integration Decision-Making Applications Advancements

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Algorithm for Selecting the Optimal Technology for Rapid Manufacturing and/or Repair of Parts

Algorithm for Selecting the Optimal Technology for Rapid Man...

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International Scientific and Technical Conference on Integrated Computer Technologies in Mechanical Engineering - Synergetic Engineering (ICTM)

作者： Sikulskyi, Valeriy Maiorova, Kateryna Shypul, Olga Nikichanov, Viacheslav Tryfonov, Oleg Voronko, Iryna Kapinus, Oleksandra Natl Aerosp Univ Kharkiv Aviat Inst 17 Chkalova St UA-61070 Kharkiv Ukraine Ukrainian Amer Joint Venture KODA Bahaliia St 22 Kharkiv Ukraine

ISBN: (纸本)9783031614149;9783031614156

The subject of the study is the technology of rapid production and/or repair of parts for which there is no design documentation, in order to return them to working state as soon as possible. Such technologies are built on the basis of reverse engineering operations, with the further use of additive and extractive technologies. The work is aimed at finding the optimal technology for rapid production and/or repair of parts. To achieve the goal, schemes of technological operations have been developed according to various methods of production of parts from specified metals and the mass of the workpiece. The labor intensity of work for each technological operation of part production and the total labor intensity of work in the manufacture of a single part and a batch of parts are calculated and compared. An experimental study of the production of the part using reverse engineering technologies, additive and extractive technologies was carried out, and different methods of its production were compared according to the parameter of labor intensity. An algorithm for selecting the optimal technology for rapid manufacturing and/or repair of parts is proposed, provided that labor intensity and manufacturing time are minimized, taking into account the accuracy and volume of manufacturing.

关键词： reverse engineering 3D printing additive manufacturing technology Digital Mock-Up labor intensity

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Localizing Scan Targets from Human Pose for Autonomous Lung Ultrasound Imaging

Localizing Scan Targets from Human Pose for Autonomous Lung ...

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Intelligent systems Conference

作者： Long, Jianzhi Cai, Jicang Al-Battal, Abdullah Jin, Shiwei Zhang, Jing Tao, Dacheng Lerman, Imanuel Truong Nguyen Univ Sydney Sydney NSW 2006 Australia Univ Calif San Diego San Diego CA 92093 USA

ISBN: (纸本)9783031664274;9783031664281

Ultrasound is progressing toward becoming an affordable and versatile solution to medical imaging. With the advent of COVID-19 global pandemic, there is a need to fully automate ultrasound imaging as it requires trained operators in close proximity to patients for a long period of time, therefore increasing risk of infection. In this work, we investigate the important yet seldom-studied problem of ultrasound scan target localization, under the setting of lung ultrasound imaging. Existing works either lack human verification or generalization capability, by conducting experiments on phantom objects or relying domain-specific prior of the specific scan target. To address these issues, we develop a purely vision-based and data-driven method inspired by research in human pose estimation. We test the proposed method on 30 human subjects, and attain an accuracy level of 16.00 +/- 9.79 mm for probe positioning and 4.44 +/- 3.75. for probe orientation, with a success rate above 80% under an error threshold of 25 mm for all scan targets. Moreover, our approach can serve as a general solution to other types of ultrasound modalities. The code for implementation has been released.

关键词： Computer vision Robotics Autonomous ultrasound imaging Ultrasound target localization Human pose estimation

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