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Paired restraint domination in extended supergrid graphs

Journal of Supercomputing 2024年第9期80卷 13217-13249页

作者： Hung, Ruo-Wei Hung, Ling-Ju Department of Computer Science and Information Engineering Chaoyang University of Technology Wufeng District Taichung413310 Taiwan Department of Creative Technologies and Product Design National Taipei University of Business Pingzhen District Taoyuan324 Taiwan

Consider a graph G with vertex set V(G) and edge set E(G). A subset D of V(G) is said to be a dominating set of G if every vertex not in D is adjacent to at least one vertex in D. If, in addition, every vertex not in a dominating set R of G is adjacent to at least one vertex in V(G)-R, then R is called a restrained dominating set of G. A paired restraint dominating set S of a graph G is a restrained dominating set of G satisfying that the induced subgraph by S contains a perfect matching. The problems of computing the dominating set, restrained dominating set, and paired restraint dominating set with minimum cardinality are referred to as the domination, restrained domination, and paired restraint domination problems, respectively. The paired restraint domination problem and its applications are first proposed here. Our focus is on examining the complexity of the proposed problem on extended supergrid graphs and their subclasses, which include grid, diagonal supergrid, and (original) supergrid graphs. The domination problem is known to be NP-complete on grid graphs and, therefore, also on extended supergrid graphs. Our previous research demonstrated that the domination and restrained domination problems on diagonal and original supergrid graphs are NP-complete. However, the complexity of the paired restraint domination problem on grid, diagonal supergrid, and original supergrid graphs remains unknown. The NP-completeness of the paired restraint domination problem on diagonal supergrid graphs is demonstrated in this paper, and this finding is also applicable to the original supergrid graphs and planar graphs with maximum degree 4. We then examine a subclass of diagonal and original supergrid graphs known as rectangular supergrid graphs. These graphs are distinguished by a rectangular shape consisting of m rows and n columns of vertices. Specifically, we address the paired restraint domination problem on Rm×n and develop a linear time algorithm for 3⩾m⩾1 and n⩾m. Then

关键词： Graphic methods

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DROPEX: Disaster Rescue Operations and Probing using EXpert drones 8

DROPEX: Disaster Rescue Operations and Probing using EXpert ...

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8th IEEE International Conference on Computational System and Information Technology for Sustainable Solutions, CSITSS 2024

作者： Kannan, Kausthub Awati, Aditya N. Rao, Smruthi S. Malagi, Vindhya P. Dayananda Sagar College of Engineering Department of Computer Science And Design Bangalore India Dayananda Sagar College of Engineering Department of Artificial Intelligence and Machine Learning Bangalore India

ISBN: (纸本)9798331505462

Disasters, both natural and man-made, pose significant risks to human life and infrastructure, necessitating swift and efficient search and rescue (SAR) operations. Traditional SAR methods often struggle to access hazardous areas, resulting in delayed responses and increased risk to rescuers. These methods are unable to run automated simultaneous rescues which lead the operations to face challenges such as difficulty in quickly assessing damage, locating survivors, and delivering aid. This paper address the problem by proposing a autonomous swarm of drones framework which improves the response time as well as increases accessibility zone of the rescue operation. The proposed framework DROPEX, is an autonomous UAV (Unmanned Aerial Vehicle) which employs a dual-dome architecture with surveillance drones to detect individuals in distress and payload drones to deliver aid. This framework ensures rapid deployment, accurate navigation, and efficient data transmission in disaster-stricken areas while minimizing the need for manual intervention. The drones are able to recognise the victims in need using object detection models such as YOLO and Detection Transformer (DETR) with thermal vision. By using Long Range Wide Area Network (LoRaWAN) and object detection models, the drones are able to reduce the response time and increase accessibility. The main focus is on creating a robust, scalable, and economical system to enhance the speed, efficiency, and effectiveness of disaster rescue operations. © 2024 IEEE.

关键词： Drones

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Educational Intelligent Chat Bot for Von Willebrand Disease Among Senegalese People 4

Educational Intelligent Chat Bot for Von Willebrand Disease ...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Akuthota, Keerthi Sai Kishor Kumar Reddy, C. Kyatham, Aashritha Reddy Ganjam, Amrutha Sriya Fatima, Shugufta Akuthota, Sai Vamshi Stanley College of Engineering and Technology for Women Department of Computer Science and Engineering Hyderabad India Design Tech Homes Oklahoma State University WoodlandsTX United States

ISBN: (纸本)9798331540364

Von Willebrand disease (VWD) is a blood disorder caused by a protein deficiency that prevents blood from clotting properly. The challenge faced by people with Von Willebrand disease is having access to limited information, users frequently believe they do not have access to all the information they require to manage their condition. The lack of technological literacy could make it difficult for them to interact efficiently and the language barrier is the biggest concern. The model of an educational intelligent chatbot for patients with Von Willebrand seeks to close information gaps and literacy, especially among Senegalese people. This chatbot uses voice recognition and machine learning to deliver accurate, culturally appropriate information in an approachable manner. This cutting-edge solution, which provides trustworthy instructional resources in a safe digital setting, is expected to greatly improve hemophilia sufferers' quality of life and ability to manage their condition with an emphasis on Senegalese people in particular, the creation of an Educational Intelligent Chatbot for Von Willebrand Patients tackles the urgent need for improved knowledge and education regarding Von- Willebrand. This sophisticated chatbot uses the most recent advancements in machine learning and speech recognition to provide accurate, culturally appropriate information in an interesting and approachable manner. © 2024 IEEE.

关键词： Bot (Internet)

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AI Based Variable Step Size Block Least Mean Square Filter for Noise Cancellation System

AI Based Variable Step Size Block Least Mean Square Filter f...

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2023 International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023

作者： Manikandan, R. Kumar, K. Sathesh Ramkumar, S. Department of Lean Operations and Systems Karnataka Bengaluru India Alliance University Computer Science and Engineering Alliance College of Engineering and Design Karnataka Bengaluru India Department of Computer Science Karnataka Bengaluru India

ISBN: (纸本)9798350300857

Most of the Active Noise Cancellation (ANC) systems working properly in low-frequency noises only. To make it suitable for isolating high-frequency noise, it needs an additional circuit which consumes more energy. This problem is mitigated in this study by designing a Variable Step size Block Least Mean Square (VSBLMS) filter which is suitable for an effective noise cancellation system. VSBLMS filter is designed with RCA to make a design area efficient and it is designed with a novel adder to achieve high speed as well as less energy consumption. The proposed filter is designed and simulated using Xilinx ISE 13.2. The simulation results shows that the proposed VSBLMS filter design mitigates the unwanted noises in various frequency bands. The proposed VSBLMS reduces the energy consumption by 9.32%, 27.63%, 13.53%, 11.80%, 10.71 %, 13.14% and 9.26% when compared with state of the art methods. © 2023 IEEE.

关键词： Adaptive filters

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Detection of False Information in Digital Media Using Blockchain Technology 3

Detection of False Information in Digital Media Using Blockc...

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3rd Odisha International Conference on Electrical Power engineering, Communication and Computing Technology, ODICON 2024

作者： Kilaru, Aswini Prasad, L V Narasimha Ghantasala, G S Pradeep Ananthanagu, U. Kallam, Suresh Rajesh Sharma, R. Institute of Aeronautical Engineering Department of Cse Telangana Hyderabad India Alliance College of Engineering and Design Alliance University Department of Computer Science and Engineering Bengaluru India Center of Excellence in Immersive Technologies Alliance University Bengaluru India School of Computer Science and Engineering Jain Deemed to Be University Bengaluru India

ISBN: (纸本)9798350354379

The spreading of false information over the internet, highly impacts society and causes social and economic loss to the nation. One of the most important factors for the increase in the number of misleading information is that all the users of any particular digital platform usually do not verify the authenticity of the information. The principal impartial of this proposed work is to afford a solution to society to reduce the social and economic losses caused by spreading false information circulated digitally. Blockchain is a disseminated, decentralized network that conducts peer-to-peer transactions, meaning that it does not have a central entity to operate. Here we present a literature survey on various approaches towards this problem statement and investigate a Blockchain-based solution that focuses on all types of digital content by providing the end user to validate the information along with the evidence for data that was collected at each step. © 2024 IEEE.

关键词： Distributed ledger

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Statistical Testing & TOPSIS Analysis of Acute Sinusitis Interventions

Statistical Testing & TOPSIS Analysis of Acute Sinusitis Int...

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2024 Asia Pacific Conference on Innovation in Technology, APCIT 2024

作者： Pisal, Tejas Kumar, Hemant Kumar, Praveen Gote, Pradanyawant Faculty of Engineering & Technology Department of Computer Science & Design Wardha Maharashtra Sawangi442001 India Faculty of Engineering & Technology Department of Basic Sciences and Humanities Wardha Maharashtra Sawangi442001 India Faculty of Engineering & Technology Department of Computer Science & Medical Engineering Wardha Maharashtra Sawangi442001 India

ISBN: (纸本)9798350361537

Acute sinusitis, often occurring as a consequence of recovering from a cold, presents a significant health concern due to its impact on the interconnected hollow spaces located behind the cheekbones, forehead, and nose. These sinus passages play a crucial role in the respiratory process by facilitating the smooth flow of air towards the lungs. Given the discomfort and potential complications associated with acute sinusitis, there is a pressing need for effective pharmaceutical interventions. This paper embarks on a comprehensive analysis of such interventions, leveraging real-world data subjected to rigorous examination through the Kruskal-Wallis statistical testing and the TOPSIS decision-making method. Our study is dedicated to discerning the most effective drug for acute sinusitis, considering a spectrum of factors including efficacy, ease of use, user satisfaction, and cost-effectiveness. By synthesizing empirical evidence and statistical analyses, we aim to provide valuable insights that can inform clinical decision-making and optimize patient care in the management of acute sinusitis. This research holds promise in guiding healthcare providers towards evidence-based prescribing practices, enhancing treatment outcomes, and ultimately improving the quality of life for individuals suffering from acute sinusitis. © 2024 IEEE.

关键词： Decision making

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MSMVAN: Multi Step Multi Variate Deep Attention Network for Renewable Energy Forecast

MSMVAN: Multi Step Multi Variate Deep Attention Network for ...

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作者： Varshini, U. Shivani Sri Sree, R. Praneetha Perumal, Murukessan Srinivas, M. Subramanyam, R.B.V. The Department of Computer Science and Engineering National Institute of Technology Telangana Warangal506004 India The Department of Computer Science and Engineering Indian Institute of Information Technology Design and Manufacturing Kurnool Kurnool518007 India

The importance of renewable energy in our everyday lives cannot be overstated, specifically highlighting solar and wind energies as two crucial sustainable power sources. Nevertheless, it is crucial to acknowledge that the amount of energy derived from renewable sources is subjected to variability, being influenced by environmental conditions. To ensure efficient management of energy load demands in diverse applications and enhance the performance of storage grids, precise energy production forecasting is vital. However, existing models doesn’t recognise the important variables for forecasting and fails in the presence of noisy or missing data. To address these issues, we proposed a MultiStep Multi Variate Deep Attention Network (MSMVAN) model with masked attention and dilated Fourier convolutions. The proposed approach utilizes a sequential model to analyze non-linear relationships in time series data. Further, dilated fourier convolutions are incorporated to capture multistep spatial and cross correlations, while attention mechanisms are employed to identify significant variables. As a result, the model acquires improved vector representations, leading to enhanced energy forecasting power. We evaluated our model on three standard datasets and from the experimental results we conclude that our proposed model outperforms the state-of-the-art models in forecasting solar and wind energy. © 2023 IEEE.

关键词： Time series analysis

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Efficient Learning of Urban Driving Policies Using Bird'View State Representations 26

Efficient Learning of Urban Driving Policies Using Bird'View...

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26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023

作者： Trumpp, Raphael Buchner, Martin Valada, Abhinav Caccamo, Marco Tum School of Engineering and Design Technical University of Munich Germany University of Freiburg Department of Computer Science Germany

ISBN: (纸本)9798350399462

Autonomous driving involves complex decision-making in highly interactive environments, requiring thoughtful negotiation with other traffic participants. While reinforcement learning provides a way to learn such interaction behavior, efficient learning critically depends on scalable state representations. Contrary to imitation learning methods, high-dimensional state representations still constitute a major bottleneck for deep reinforcement learning methods in autonomous driving. In this paper, we study the challenges of constructing bird's-eye-view representations for autonomous driving and propose a recurrent learning architecture for long-horizon driving. Our PPO-based approach, called RecurrDriveNet, is demonstrated on a simulated autonomous driving task in CARLA, where it outperforms traditional frame-stacking methods while only requiring one million experiences for efficient training. RecurrDriveNet causes less than one infraction per driven kilometer by interacting safely with other road users. © 2023 IEEE.

关键词： Autonomous vehicles

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Pilot Study on Aerial Wireless Superdirectional Sound Sources Utilizing Parametric Array Loudspeakers via Local 5G Networks

Pilot Study on Aerial Wireless Superdirectional Sound Source...

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2023 IEEE International Symposium on Antennas and Propagation, ISAP 2023

作者： Iihoshi, Yohei Okubo, Kan Department of Electrical Engineering and Computer Science Faculty of System Design Tokyo Metropolitan University Hino Tokyo Japan

ISBN: (纸本)9798350341140

This study presents a pilot study on the potential future use of aerial sound sources utilizing parametric array loudspeakers (PALs) in drones via fifth-generation (5G) networks. Integrating superdirectional loudspeakers with high-speed wireless communication is essential for projecting sound from the air to specific locations using drones. Herein, as an experimental approach, we have evaluated the performance of wireless communication, specifically local 5G, for realizing aerial sound sources. The results demonstrated the high performance of the local 5G connection intended for PALs in the air. © 2023 IEEE.

关键词： 5G networks aerial sound source millimeter wave band parametric array loudspeaker wireless communication

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What's in a cable? Abstracting Knitting design Elements with Blended Raster/Vector Primitives 24

What's in a cable? Abstracting Knitting Design Elements with...

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37th Annual ACM Symposium on User Interface Software and Technology, UIST 2024

作者： Twigg-Smith, Hannah Peng, Yuecheng Whiting, Emily Peek, Nadya Human Centered Design and Engineering University of Washington SeattleWA United States Computer Science Boston University BostonMA United States

ISBN: (纸本)9798400706288

In chart-based programming environments for machine knitting, patterns are specified at a low level by placing operations on a grid. This highly manual workflow makes it challenging to iterate on design elements such as cables, colorwork, and texture. While vector-based abstractions for knitting design elements may facilitate higher-level manipulation, they often include interdependencies which require stitch-level reconciliation. To address this, we contribute a new way of specifying knits with blended vector and raster primitives. Our abstraction supports the design of interdependent elements like colorwork and texture. We have implemented our blended raster/vector specification in a direct manipulation design tool where primitives are layered and rasterized, allowing for simulation of the resulting knit structure and generation of machine instructions. Through examples, we show how our approach enables higher-level manipulation of various knitting techniques, including intarsia colorwork, short rows, and cables. Specifically, we show how our tool supports the design of complex patterns including origami pleat patterns and capacitive sensor patches. © 2024 Owner/Author.

关键词： Knitting machinery

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