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Optimization of UAV-Femtocell systems Positioning via Game theory to Geolocate Mobile Terminals in a Post-Earthquake Scenario 11

Optimization of UAV-Femtocell Systems Positioning via Game T...

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11th IEEE international conference on Intelligent Data Acquisition and Advanced computing systems - Technology and Applications (IDAACS)

作者： Avanzato, Roberta Beritelli, Francesco Raciti, Fabio Spataro, Enrica Univ Catania DIEEI Dept Elect Elect & Comp Sci Engn Viale Andrea Doria 6 I-95125 Catania Italy Univ Catania DMI Dept Dept Math & Comp Sci Viale Andrea Doria 6 I-95125 Catania Italy

ISBN: (纸本)9781665426053

the use of UAV-Femtocell systems for the geolocation of mobile terminals has recently been introduced in the literature as an alternative and effective method in civil protection scenarios and applications. In this context, one of the important aspects concerns the optimization of geolocation times, bearing in mind the limited duration of the flight time of drones. this paper proposes a game theory-based approach to geolocation using UAV-Femtocell systems. A game structure is proposed in which the rules of drone movement are defined according to criteria and utility functions that are linked to the power measurements of the mobile terminals and obtained by the UAV-Femtocell systems in order to optimize the geolocation process through a series of successive rounds in which the Nash equilibria are reached.

关键词： Localization Algorithm UAVs Game theory Flight Strategy and Energy Efficiency Optimization

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2019 6th international conference on eDemocracy and eGovernment, ICEDEG 2019

2019 6th International Conference on eDemocracy and eGovernm...

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6th international conference on eDemocracy and eGovernment, ICEDEG 2019

ISBN: (纸本)9781728117041

the proceedings contain 58 papers. the topics discussed include: estimating public opinions using twitter data: the case of the 2018 Ecuadorian National Referendum and Constitutional reforms;assessing the effects of crowdlaw initiatives: experiences from Latin America;methodological framework based on digital technologies for the implementation of industry 4.0 in SMEs;on leveraging the potential of open data to enhance transparency and accountability - a case study from Ukraine;health recommender systems: a state-of-the-art review;on facilitating cross-border e-commerce through an automated VAT declaration system;analyzing dissenting votes through electronic justice from online posts to streets: a real case;wearable telemedicine system for real-time monitoring of electrocardiographic signals;and towards an architecture for electronic notifications services on the cloud: a model driven approach.

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An Approach of Optimisation in Last Mile Delivery 1

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18th international conference on Soft computing Models in Industrial and Environmental Applications, SOCO 2023

作者： Simić, Dragan Calvo-Rolle, José Luis Villar, José R. Ilin, Vladimir Simić, Svetislav D. Simić, Svetlana Faculty of Technical Sciences University of Novi Sad Trg Dositeja Obradovića 6 Novi Sad21000 Serbia Department of Industrial Engineering University of A Coruña Avda. 19 de Febrero S/N A Coruña Ferrol15405 Spain University of Oviedo Campus de Llamaquique Oviedo33005 Spain Faculty of Medicine University of Novi Sad Hajduk Veljkova 1–9 Novi Sad21000 Serbia

ISBN: (数字)9783031425363

ISBN: (纸本)9783031425356

Transport is the backbone of the economy aiming to move people and goods efficiently. the gross domestic product is collected from vehicle taxes, energy taxes, and taxes on fuel. On the other side, 25% of the CO2 emission of the whole transport sector comes from urban transport. Simultaneously, new technologies are developed and applied in real life, and E-commerce represents approximately 10% of the global retail landscape. Although home delivery is convenient for the customer, last mile delivery (LMD) poses significant logistical challenges for companies. the aim of this paper is to propose an approach to cost-optimal routing of a truck-and-drone system for LMD. the applied solution is an algorithm based on a combination of the combinatorial optimisation genetic algorithm. the experimental results demonstrate that it is possible to optimise last mail delivery and significantly reduce total distance for truck route and drone route. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Genetic algorithms

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Review on Real-Time Drone Detection Based on Visual Band Electro-Optical (EO) Sensor 10

Review on Real-Time Drone Detection Based on Visual Band Ele...

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10th IEEE international conference on Intelligent computing and Information systems, ICICIS 2021

作者： Elsayed, Mohamed Reda, Mohamed Mashaly, Ahmed S. Amein, Ahmed S. Military Technical College Avionics Department Cairo Egypt October 6 University Computer Science Department Cairo Egypt

ISBN: (纸本)9781665440769

Drones have gained a lot of traction in the fields of amateur and professional video creation. they are con- strained by more than just civilian lines of action. Drones, on the other hand, have been employed in terrorist attacks, privacy breaches, and inadvertent accidents in high-risk areas like air- ports. this is a major source of risk for important sites. It is not easy to identify such attacks in a timely manner. Many researchers from various fields are looking into this issue. New technologies have been devised to manage and monitor the horizon in reaction to these incidents, ensuring protection in high-risk locations. From a cost-to-quality aspect, the use of camera systems for drone detection is extremely appealing. Drone detection via visual information, on the other hand, is impeded by drones' striking resemblance to other things, such as birds or aircraft. Furthermore, because drones could travel at high speeds, detection is preferred in the real-time domain. this paper goes into making a review on current algorithms for drone detection in real-time domain based on EO sensors. the most typical methodology for drone detection is classified to some traditional computer vision methods and recently deep learning methods. this paper aims to guide the researchers to design upcoming drone detecting systems using the most practical technologies that satisfy certain requirements such as adaptability, extensibility, dependability, and affordability. © 2021 IEEE.

关键词： Drones

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Quantitative Investment Forecasting Model Based on BP Neural Network and Time Series Analysis 23

Quantitative Investment Forecasting Model Based on BP Neural...

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proceedings of the 6th international conference on Information Technologies and Electrical Engineering

作者： Shuangyi Han School of International Education Wuhan University of Technology China

ISBN: (纸本)9798400708299

Quantitative investment refers to securities trading strictly guided by computer algorithms. With the advancements in big data technology, quantitative investment has gained increasing significance in the global financial trading market. However, the current market information is complex, and product prices are influenced by various factors, making it challenging to extract effective indicators from the vast amount of market data and formulate trading strategies. To address this issue, this study proposes a forecasting model for quantitative investment based on BP neural networks and time series analysis, resulting in improved forecasting accuracy. the paper adopts the median to substitute indicators during the relevant time, homogenizing the time interval. the chosen BP neural network prediction model exhibits robust nonlinear mapping capabilities and fault tolerance. the model undergoes testing, yielding MAE and MAPE test results primarily at 0.08 and 0.03, respectively. the predicted values demonstrate a high degree of alignment with real values, showcasing an effective prediction outcome.

关键词： BP neural networks Machine learning Quantitative investment Time series forecasting

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Research on Traffic Information Extraction Approach Based on Image Deep Learning 6

Research on Traffic Information Extraction Approach Based on...

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6th international conference on Transportation Information and Safety, ICTIS 2021

作者： Lu, Manke He, Yi Cao, Bo Wang, Yihong Xu, Feng Intelligent Transport Systems Research Center Wuhan University of Technology Wuhan China China Merchants International Technology Company Limited Shenzhen China China Transport Telecommunication & Information Center Beijing China

ISBN: (纸本)9781665497138

With the rapid development of deep learning methods in the field of computer vision, the effective methods can be applied to the classification and positioning of traffic targets based on real traffic data. this paper studies the application of convolutional neural network in the real traffic information extraction field. the YOLOv3 target detection algorithm, the Faster RCNN target detection algorithm and the SSD target detection algorithm are used to detect vehicles in the images collected in same road condition, and generate the result graph of the target detection. the experimental results show that the YOLOv3 target detection algorithm, Faster RCNN target detection algorithm and SSD target detection algorithm can identify all traffic targets in the traffic road images. It reveals the three algorithms meet the detection needs, and help to achieve non-contact traffic flow collection and feature recognition. Meanwhile these algorithms can provide technical means for traffic supervision and safety improvement. © 2021 IEEE.

关键词： Deep learning

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MEthODOLOGICAL ISSUES OF ECONOMETRIC ESTIMATING EXPORT GRAVITY MODELS 22

METHODOLOGICAL ISSUES OF ECONOMETRIC ESTIMATING EXPORT GRAVI...

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proceedings of the 6th international conference on Future Networks & Distributed systems

作者： Bakhtiyor Islamov Munisa Turdibaeva Asomiddin Yusupov World Economy Tashkent State University of Economics Uzbekistan Westminster International University in Tashkent Uzbekistan Tashkent State University of Economics Uzbekistan

ISBN: (纸本)9781450399050

In this article, the authors critically analyze the existing econometric approaches to estimating gravity models of exports from the point of view of solving such problems as taking into account zero observations, bias, inconsistency and inefficiency of estimates. As a result, the authors come to the conclusion that the random effects panel regression estimation is the most preferable method for estimating the gravity export equation. this result has come from a case of Uzbekistan.

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Shaping the Future with Quantum computing: An Exploration of its Emerging Field and Revolutionary Potential 6

Shaping the Future with Quantum Computing: An Exploration of...

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6th international conference on Futuristic Trends in Networks and computing Technologies, FTNCT 2024

作者： Rana, Siddharth Mohan Rai, Hari Latif Yokubboevich, Khuramov Dilmurod, Mardonov Dronacharya Group of Institutions Greater Noida201306 India Department of Cyber Security International IT University Almaty Kazakhstan Department of Artificial Intelligence and Information Systems Samarkand State University Uzbekistan Urgut Branch Samarkand State University Uzbekistan

the field of Quantum computing opens up multiple doors to various problems simultaneously, by going through all the possible solutions at the same time. It incorporates multiple phenomena from the realm of quantum mechanics and channelizes them into various aspects of a problem. It takes a unique approach to tackle a problem, by identifying and simultaneously working on the solution in every possible way or approach. the major leap of quantum computing is in the field of cryptography, it incorporates various rules from quantum mechanics and provides a secure data transmission using quantum channels-Fiber Optical Cable. Further, the integrity of the data can be enhanced by using quantum entanglement to provide an extra layer of security to the data transmission. A different approach can be put forward by making use of teleportation in the quantum realm, allowing the particles to be transmitted from one location in space to another, instantly, thus transmitting the data by surpassing the speed limit of the Universe-the speed of light and thus, achieving the fastest data transmission. this paper encompasses studies of various intriguing phenomena that have been discovered in the quantum realm, along with their explanations and examples. the potential future of the emerging domain of quantum computing has also been discussed thus establishing a profound connection between the human understanding of the universe with the quantum understanding of the universe, providing an idea that the true universe emerges from the deep realm of quantum mechanics. © 2025 the Author(s). Published by Elsevier B.V.

关键词： Quantum channel

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APSSE 2019 - proceedings of the 6th international conference Actual Problems of System and Software Engineering

APSSE 2019 - Proceedings of the 6th International Conference...

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6th international conference Actual Problems of System and Software Engineering, APSSE 2019

the proceedings contain 46 papers. the topics discussed include: SuperBook concept for a digital university;the analysis method of primary data for monitoring social processes using big data and fuzzy criteria;architecture solutions for the metadata extraction toolkit, taking into account the built-in privacy extracts;on mobility patterns in smart city;Chebyshev methods for optimization of large systems on stiff target functionals with weakly filled structured hessian matrices;seamless design of information system architecture based on adaptive clustering method;and performance optimization algorithm of a distributed database with a hierarchical network topology.

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Design and Development of 6G in the X Subnetworks with Wireless Communications

Design and Development of 6G in the X Subnetworks with Wirel...

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： A Reena Gyanendra Kumar Pandey Yogendra Kumar R. Sundar L A Jeni Narayanan R. Sreelakshmy Department of Informations Technology Prince Shri Venkateshwara Padmavathy Engineering College Department of Electrical & Electronics Engineering (EEE) IES Institute of Technology and Management IES University Bhopal M. P. India Department of Electrical Engineering (EE) GLA University Mathura Department of Electronics and Communication Engineering (E C & E) Karpagam College of Engineering Tn. Department of Computer Science and Engineering (C S & E) Nehru Institute of Engineering and Technology T.M.Palayam Tamil Nadu India Department of Electronics and Communication Engineering (E C & E) Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

In this study, we suggest short-range, lightweight 6th subsequent generations (6 G) in-X network parts as a valuable radio concept responding to the demanding connectivity requirements of new applications like wearable control of arms equipped with robotics and critical on-body gadgets which include wireless heart pacemakers. the main requirements of ultra-high fidelity (exceeding 6 nines when) and sub-millisecond delay at all spatiotemporal contexts demand powerful radio systems contrary to fading and interference. Our study thoroughly explores technology drivers and methods for interference reduction in 6 G in-X subsidiary networks. the proposed methods include blind-repetition at pseudo-random frequency shifts and environment-aware tools for interference control through dynamic channel sharing. Additionally, we suggest two novel enhancements: real-time repeat order adaptation using current channel dynamics and preemptive packet duplication, during which subnetworks that are duplicate signals on a third channel group upon spotting possible nearby subnetwork interference. Simulations in an industrial workplace setting with mobile in-X subnetworks, by employing 3GPP-defined models, show the need for large internet connectivity, packet repeats, and environment-aware interference synchronization to achieve low packet loss percentages and sub- $100 \mu$ s delay. the suggested improvements show large packet loss rate decrease for systems with life times $\gt 2$ cycle times.

关键词： Wireless communication 6G mobile communication Adaptation models Robot kinematics Packet loss Interference Delays

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