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

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Fuzzy Model of Multicopter Motion Control Under Active Operation of Counter-UAV systems

Fuzzy Model of Multicopter Motion Control Under Active Opera...

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Aliyev, Elchin Rzayev, Ramin Almasov, Asgar Salmanov, Fuad Inst Control Syst Vahabzadeh Str 68 AZ-1141 Baku Azerbaijan

ISBN: (纸本)9783031671913;9783031671920

Existing counter-UAV systems and electronic countermeasure equipment form a great threat not only to the autopilot of multicopters, but also to their remote control, which, in addition, also is fraught with certain problems associated with communication failures, operator errors, delays and inaccuracies in control. To solve these problems, it is proposed to use a multicopter autopilot system based on new principles, implying the placement on board of additional means of backup control and ensuring flight along a given trajectory. The autopilot system for a typical multicopter is designed as a separate module, which is transparent in terms of the control interface. The paper proposes an algorithm for forming the trajectory of a multicopter under active operation of counter-UAV systems. The algorithm involves the use of a fuzzy flight controller built on the basis of the Fuzzy Inference System. The results of image recognition from a route map in six sectors of the Earth's surface view are considered as input characteristics of the basic fuzzy model.

关键词： Multicopter Fuzzy Controller Flight Trajectory

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Location Jamming of Radar Waves Using Software-Defined Radio 8th

Location Jamming of Radar Waves Using Software-Defined Radio

引用

8th Smart Trends in Computing and Communications (SmartCom)

作者： Khasnobis, Aritra Bhushan, Kriti Natl Inst Technol Kurukshetra Haryana India

ISBN: (纸本)9789819713196;9789819713202

Nowadays, radar plays a key role in the world of warfare. The detection of critical military assets of the enemy is a must nowadays in modern warfare in order to cripple the enemy. However, the use of radar and electronic warfare (EW) in general has also given rise to Electronic Countermeasures (ECMs) or jamming to counter radar detection and protect these assets. One such method involves deceiving the non-cooperative source (NCS) by sending pulses so as to obscure the location of the targeted asset. In this paper, we propose using Software-Defined Radio (SDR) technology to first detect radar signals of the NCS, estimate the range of the source, and calculate the angle of impact of the radar on the listening antenna to estimate the position of the NCS. Once we get the mentioned factors, the SDR will transmit pulse waves to estimated location of the NCS and attempt to provide false information regarding the location of the intended target.

关键词： Electronic warfare (EW) Jamming Software-Defined Radio (SDR)

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A Review on Smart Traffic Management with Reinforcement Learning 9th

A Review on Smart Traffic Management with Reinforcement Lear...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Hegde, Seema B. Premasudha, B. G. Hooli, Abhishek C. Akshay, M. J. Siddaganga Inst Technol Dept Elect & Commun Tumakuru India Siddaganga Inst Technol Dept Master Comp Applicat Tumakuru India Jawaharlal Nehru New Coll Engn Dept Informat Sci & Engn Shivamogga India

ISBN: (纸本)9789819733040;9789819733057

In India's bustling cities, we often find ourselves stuck in frustrating traffic jams, which not only waste our time but also harm the environment. Much of this traffic trouble arises from how traffic lights are timed at intersections. To tackle this issue, we turned to a clever computer technique called "reinforcement learning." It's like teaching machines to make smart decisions. In our research, we delved into how we can use this computer smarts to train traffic signals to be more efficient in Indian traffic conditions. Our ultimate aim is to make your daily commute quicker and your city eco-friendlier by applying these innovative traffic signal techniques tailored to Indian traffic patterns.

关键词： Traffic jams Traffic signals Smarter traffic signals Reinforcement learning Real-time traffic conditions Decision-making Congestion reduction

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Experimental Analysis of Robot Base Frame Identification Methods 6th

Experimental Analysis of Robot Base Frame Identification Met...

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6th Iberian Robotics Conference (Robot)

作者： Selingue, Maxime Olabi, Adel Thiery, Stephane Bearee, Richard Arts & Metiers Inst Technol LISPEN Lille France

ISBN: (纸本)9783031586750;9783031586767

For many industrial applications (e.g. machining, drilling, pick-and-place, etc.), robot's poor absolute accuracy has to be enhanced through calibration processes. These processes involve measurement devices, mostly Laser Trackers, which measure the position of a Spherical Mounted Reflector, usually attached on the flange of the robot, in a virtual measurement frame associated with the Laser Tracker. However, calibration processes require to know the position of the flange of the robot in the robot's base frame. Thus, there is a need for robot base frame identification methods. The objective of this paper is to provide both qualitative and quantitative elements to determine which method is the most suitable for robot calibration. Five different methods are discussed, and based on a qualitative analysis, three of them are experimentally compared, both on repeatability of the method and accuracy.

关键词： Industrial robot Accuracy Calibration Measurement

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Emotion-Aware Chatbots: Understanding, Reacting and Adapting to Human Emotions in Text Conversations 1

引用

15th International Conference on Autonomous systems

作者： Kossack, Philip Unger, Herwig Fernuniv Chair Commun Networks Univ Str 47 D-58097 Hagen Germany

ISBN: (数字)9783031614187

ISBN: (纸本)9783031614170;9783031614187

Chatbots and virtual assistants have revolutionized human-computer interaction. As these digital entities become integral to our lives, there's a pressing need to infuse them with emotional awareness. Emotion-aware chatbots, capable of understanding and responding to human emotions and thereby adapting their own personality, hold the promise of enhancing user experiences across various domains. However, the research in this field is scattered across disciplines, making it challenging to navigate. This survey consolidates diverse research findings, providing an overview of emotion-aware chatbots' current state and future directions. It covers foundational concepts, the significance of emotional intelligence, various AI techniques, research methodology, and approaches to emotional awareness. This survey sets the stage for future research in this exciting field, fostering the development of more emotionally intelligent chatbot systems.

关键词： Human computer interaction

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Finding Hamiltonian Cycles in Circular Intuitionistic Fuzzy Graphs 1

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Traneva, Velichka Tranev, Stoyan Todorov, Venelin Prof Asen Zlatarov Univ Prof Yakimov Blvd Burgas 8000 Bulgaria Bulgarian Acad Sci Inst Math & Informat Acad Georgi Bonchev Str Sofia 1113 Bulgaria Bulgarian Acad Sci Inst Informat & Commun Technol Acad Georgi Bonchev Str Sofia 1113 Bulgaria

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Finding a Hamiltonian cycle in a graph is an essential challenge in an uncertain context, and there are several approaches available for this. By combining Atanassov's circular intuitionistic fuzzy sets (C-IFSs) and index matrices (IMs), this work presents a novel methodology. In particular, we suggest using an index-matrix approach to find the Circular Intuitionistic Fuzzy Hamiltonian Cycle (C-IFHC), which is a Hamiltonian cycle in a Circular Intuitionistic Fuzzy graph (C-IFG). The C-IFHC algorithm builds upon existing approaches for finding an Intuitionistic Fuzzy Hamiltonian Cycle (IFHC) in an Intuitionistic Fuzzy Graph (IFG). To showcase its practical applicability, we employ the C-IFHC algorithm to discover a Hamiltonian cycle in a real-world context involving the Ryanair airline network. This paper also introduces the concept of a circular extended intuitionistic fuzzy index matrix (C-EIFIM) and elucidates various operations associated with C-EIFIMs.

关键词： Circular Intuitionistic Fuzzy Sets Index Matrix Hamiltonian cycle

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Finding Fuzzy Sets of Bases and Antibases of Periodic Fuzzy Graph

Finding Fuzzy Sets of Bases and Antibases of Periodic Fuzzy ...

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Bozhenyuk, Alexander Gorbachev, Sergey Knyazeva, Margarita Southern Fed Univ Nekrasovsky Str 44 Taganrog 347922 Russia Chongqing Univ Educ Sch Artificial Intelligence 1 Chongjiao RdNanshan St Chongqing 400065 Peoples R China

ISBN: (纸本)9783031671944;9783031671951

This paper considers a new graph model-a periodic fuzzy graph. Here, a periodic fuzzy graph means a fuzzy graph in which the fuzziness, as a membership function specified on the edges of the graph, changes in discrete time (horizon). At the same time, discrete time has some cyclicity. Periodic fuzzy graphs can be used as models of complex systems, the elements of which have fuzzy connections that change in discrete time and have the property of periodicity. For example, in problems of scheduling, transport networks, technological processes, etc. The work introduces the concepts of a minimal base and a minimal antibase with a given reachability time, and on their basis - a fuzzy set of bases and a fuzzy set of antibases of a periodic fuzzy graph. An algorithm for their calculation is proposed. Examples of finding minimal bases and minimal antibases of a fuzzy graph are also considered.

关键词： Fuzzy graph Periodic fuzzy graph Fuzzy set of bases Fuzzy set of antibases Strong connectivity

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Analysis of the Effectiveness of Neural networks with Different Configurations 9th

Analysis of the Effectiveness of Neural Networks with Differ...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Degtyareva, Ksenia Borodulin, Aleksey Gantimurov, Andrei Kukartsev, Vladislav Mikhalev, Anton Reshetnev Siberian State Univ Sci & Technol Krasnoyarsk 660037 Russia Bauman Moscow State Tech Univ Moscow 105005 Russia Siberian Fed Univ Krasnoyarsk 660041 Russia

ISBN: (纸本)9789819735617;9789819735624

In the dynamic landscape of contemporary organisations, employee retention emerges as a pivotal factor for stability and successful development. This study focuses on the application of neural networks to analyse factors influencing employees' decisions to stay or leave a company. Utilising an anonymized dataset encompassing education, work experience, demographics, and employment history, various neural network configurations were explored, adjusting the number of layers and neurons while maintaining consistent parameters like sigmoid activation function and Resilient Propagation algorithm. The research revealed a noteworthy trend: an increase in the number of neurons enhances model performance, yet saturation occurs beyond a certain point. The model with a single hidden layer and 64 neurons exhibited optimal results, striking a balance between model complexity and prevention of overfitting. Beyond model error, crucial steps like cross-validation and optimal hyperparameter tuning are discussed to ensure a robust analysis. The study concludes by providing a foundation for future work in employee attrition prediction, emphasising the significance of a unified approach for model comparison.

关键词： Neural networks Machine learning Data analysis Model configuration Activation function Resilient Propagation Parameter optimisation

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Accuracy of Large-Pitchscrewthread Manufactured with the Double-Point Lathe Cutting Tool. Kinematic Study 10th

Accuracy of Large-Pitchscrewthread Manufactured with the Dou...

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International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Onysko, Oleh Kopei, Volodymyr Medvid, Iuliia Faryliuk, Roman Matei, Iurii Ivano Frankivsk Natl Tech Univ Oil & Gas Inst Mech Engn 15 Karpatska St UA-76019 Ivano Frankivsk Ukraine

ISBN: (纸本)9783031662676;9783031662683

The production of large-step threads, for example for conical drill-string tool-joints locks, is done with the help of lathe cutting-tool. However, a double-thread lathe cutter should be more productive for this purpose. However, such types of tools are not supplied by modern tool manufacturers really. Apparently, it is due to the lack of investigation of the process of the thread profile accuracy ensuring. The article theoretically investigates the phenomenon of longitudinal displacement of the obtained threaded profile, which occurs as a result of kinematic leading and lagging of the opposite flanks profile of the cutting edge. It has been proven that the resulting offset does not actually affect the accuracy of the thread profile.

关键词： kinematic analysis of turning accuracy turning threads inclination angle of the cutting edge large-pitch tapered thread helix angle

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Deep Learning Based PAPR Reduction in 4G Mobile Communications 5th

Deep Learning Based PAPR Reduction in 4G Mobile Communicatio...

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5th International Conference on Communication and Intelligent systems (ICCIS)

作者： Gupta, Saruti CDAC Dept Educ & Training Noida India

ISBN: (纸本)9789819720811;9789819720828

Deep Learning networks are swiftly gaining notable popularity in the area of 4G communication domains and promise to offer emerging solutions for signal processing problems. An increase in Peak-to-Average Ratio (PAPR) is the critical problem of the 4G based OFDM communication system. As a result, improving the PAPR reduction potential of the OFDM systems with an optimal level of bit error rate of the system becomes a mandate. In this paper, a neural network model using CNN architecture is trained on the original OFDM symbols and built to decrease the PAPR value of the OFDM signals. Simulations conducted prove the outperformance of the designed system in terms of PAPR reductions with an acceptable level of BER degradations in OFDM signals in comparison to some of the conventional schemes.

关键词： Orthogonal frequency division multiplexing (OFDM) Convolutional neural network peak-to-average power ratio (PAPR) Bit Error Rate (BER)

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