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International Conference on Soft Computing and Machine Intelligence (ISCMI)

作者： Yangjun Chen Bobin Chen Dept. Applied Computer Science University of Winnipeg Canada

By the package design problem we are given a set of queries (referred to as a query log) with each being a bit string indicating the favourite activities or items of customers and required to design a package of activities (or items) to satisfy as many customers as possible. It is a typical problem of data mining. In this paper, we address this issue and propose an efficient algorithm for solving the problem based on a new tree search strategy, the so-called priority-first search, by which the tree search is controlled by using a priority queue, instead of a stack or a queue data structure. Extensive experiments have been conducted, which show that our method for this problem is promising.

关键词： Costs Design methodology Search problems Data structures Complexity theory Data mining Queueing analysis

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Coordinating Cooperative Perception in Urban Air Mobility for Enhanced Environmental Awareness

Coordinating Cooperative Perception in Urban Air Mobility fo...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Timo Häckel Luca Von Roenn Nemo Juchmann Alexander Fay Rinie Akkermans Tim Tiedemann Thomas C. Schmidt Dept. of Computer Science Hamburg University of Applied Sciences Hamburg Germany Institute of Automation Technology Helmut Schmidt University Hamburg Germany Dept. of Automotive and Aeronautical Engineering Hamburg University of Applied Sciences Hamburg Germany

ISBN: (数字)9798350357882

ISBN: (纸本)9798350357899

The trend for Urban Air Mobility (UAM) is growing with prospective air taxis, parcel deliverers, and medical and industrial services. Safe and efficient UAM operation relies on timely communication and reliable data exchange. In this paper, we explore Cooperative Perception (CP) for Unmanned Aircraft Systems (UAS), considering the unique communication needs involving high dynamics and a large number of UAS. We propose a hybrid approach combining local broadcast with a central CP service, inspired by centrally managed U-space and broadcast mechanisms from automotive and aviation domains. In a simulation study, we show that our approach significantly enhances the environmental awareness for UAS compared to fully distributed approaches, with an increased communication channel load, which we also evaluate. These findings prompt a discussion on communication strategies for CP in UAM and the potential of a centralized CP service in future research.

关键词： Communication channels Market research Reliability Aircraft Vehicle dynamics Public transportation

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Coordinating Cooperative Perception in Urban Air Mobility for Enhanced Environmental Awareness

arXiv

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arXiv 2024年

作者： Häckel, Timo von Roenn, Luca Juchmann, Nemo Fay, Alexander Akkermans, Rinie Tiedemann, Tim Schmidt, Thomas C. The Dept. of Computer Science Hamburg University of Applied Sciences Hamburg Germany The Institute of Automation Technology Helmut Schmidt University Hamburg Germany The Dept. of Automotive and Aeronautical Engineering Hamburg University of Applied Sciences Hamburg Germany

关键词： Air mobility

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A Framework for the Automated Parameterization of a Sensorless Bearing Fault Detection Pipeline

arXiv

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arXiv 2023年

作者： Wagner, Tobias Gepperth, Alexander Engels, Elmar Dept. of Electrical Drives Controls Bosch Rexroth AG Ulm Germany Dept. of Applied Computer Science Fulda University of Applied Sciences Fulda Germany Dept. of Electrical Engineering Fulda University of Applied Sciences Fulda Germany

This study proposes of a framework for the automated pipeline for permanent magnet synchronous motors (PMSMs) without A the performed automated need of by external means machine sensors. of a learning genetic optimization (AutoML) pipeline to reduce search human is purpose, induced bias a search due to space inappropriate is defined, parameterizations. whichincludes For general this methods of signal processing and manipulation as well as The methods proposed tailored framework to the respective is evaluated task and on domain. the bearing fault detection use case under real world conditions. Considerations on the generalization of the deployed fault detection pipelines are also taken into account. Likewise, attention was paid to experimental studies for evaluations of the robustness of the fault detection pipeline to variations of the motors working condition parameters between the training and test domain. © 2023, CC BY-NC-ND.

关键词： Pipelines

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Leveraging Support Vector Machine for Sports Injury Classification

Leveraging Support Vector Machine for Sports Injury Classifi...

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International Conference on Information Technology and Electrical Engineering (ICITEE)

作者： Thattapon Surasak Phornnatee Praking Kotcharat Kitchat Dept. of Computer and Information Science Faculty of Applied Science King Mongkut's University of Technology North Bangkok Bangkok Thailand Dept. of Computer Science and Information Engineering National Central University Taoyuan Taiwan

This study explores the utility of Support Vector Machines (SVM) for the classification of injuries in Athletes including tennis, table tennis, and badminton. The primary objective of this research was to develop an automated method to detect between normal and injury pose, providing a poten-tially powerful tool for early detection. In other words, this research is the pioneer study to represent one another solution for sports injury classification using the image data apart from the current approaches that might be focused on the sensor-based. Therefore, we collect a dataset from various social media across the three sports, labeled into two categories: “Normal” and “Injury”. The SVM model was trained on this dataset, and tuned to optimize its performance in distinguishing the two classes. Achieving an accuracy of 96.63%, the result demonstrates that the SVM model can effectively identify injury patterns in the considered sports. The implications of this study are sig-nificant, presenting the initial steps towards applying computer vision tasks in sports topics. By demonstrating the feasibility of an SVM-based approach to injury detection in these racket sports.

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Predictive Control and Production Process Forecasting Under Deterministic Chaos 23

Predictive Control and Production Process Forecasting Under ...

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23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022

作者： Manusov, Vadim Z. Orlov, Dmitry V. Karmanov, Vitaly S. Khusnutdinov, Alexander O. Kovalenko, Dmitry I. Ivanov, Gennady V. Novosibirsk State Technical University Dept. of Industrial Power Supply Systems Novosibirsk Russia Novosibirsk State Technical University Dept. of Theoretical and Applied Computer Science Novosibirsk Russia Surgut State University Dept. of Radio Electronics and Radio Engineering Surgut Russia

ISBN: (纸本)9781665498043

Electricity consumption forecasting is an integral part of the workflow in most industries. At the same time, daily load schedules of the mining industry are characterized by deterministic chaotic fluctuations in the electricity consumption curve caused by the technology of the production process. The paper proposes two mathematical forecasting models, one of which is based on the recurrent method, and the second one is based on the vector method. At the same time, the structure of the models allows taking into account the individual features of the operating cycle of the production process, as well as identifying and smoothing the 'noise' components of the rank parametric surface of this production process. The Singular Spectrum Analysis method was chosen as the algorithm for preprocessing and smoothing time series of electricity consumption. The method was applied for the first time for a multidimensional array of electricity consumption data. As a result, rank parametric surfaces were plotted, one of which is the initial surface, and the second one is the final surface. © 2022 IEEE.

关键词： Energy conservation

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Robust and Reliable Liveness Detection Models for Facial Recognition Systems 20

Robust and Reliable Liveness Detection Models for Facial Rec...

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20th International Conference on Frontiers of Information Technology, FIT 2023

作者： Anjum, Haris Arshad, Usama Ali, Raja Hashim Ul Abideen, Zain Shah, Muhammad Huzaifa Khan, Talha Ali Ijaz, Ali Zeeshan Siddique, Abu Bakar Imad, Muhammad Gik Institute of Engg. Sciences & Technology Faculty of Computer Science & Engineering Topi Pakistan University of Europe for Applied Sciences Dept. of Technology & Software Engineering Berlin Germany BCMaterials Basque Center for Materials Applications & Nanostructure Spain

ISBN: (纸本)9798350395785

Facial Liveness Detection is instrumental in combating fraudulent practices and identity theft by differentiating genuine faces from forgeries. Given that facial recognition is now an integral part of many sectors like banking and law enforcement, liveness detection has become a vital aspect for maintaining the trustworthiness of these applications. Unfortunately, the utility of prevalent facial liveness detection models is constrained by their lack of generalizability to novel, unseen data, which presents a substantial impediment to practical applications. To mitigate this issue, our research endeavored to construct a reliable and precise facial liveness detection model that can effectively navigate this challenge and ensure consistent performance across diverse datasets. The devised model exhibited excellent accuracy, which attests to its robustness. This research underscores the advantages of employing deep learning methods such as Convolutional Neural Networks (CNNs) as they significantly enhance the model's accuracy. We intend for our findings to drive further research and progress in this critical field, by laying the groundwork for future work that integrates multiple liveness detection methods and collects more varied training data to develop an even more resilient and efficient system. © 2023 IEEE.

关键词： Feature extraction

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Forward Difference Properties of the (n, k)-Star Graph and Some Other Interconnection Networks

Forward Difference Properties of the (n, k)-Star Graph and S...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Eddie Cheng Ethan Gibbons Ke Qiu Zhizhang Shen Dept. of Math and Stats Oakland University Rochester MI USA Dept. of Computer Science Brock University St. Catharines Canada Dept. of Computer Science and Technology Plymouth State University Plymouth NH USA

An important invariant of an interconnection network is its surface area, the number of vertices at distance i from a node. Although much work has been done to obtain formulas for the surface areas for many interconnection networks, most of the formulas are not in the so-called closed form except for a very few trivial graphs. It is known that for an interconnection network, if its surface area satisfies the so-called forward difference property, then for any specific distance i, its surface area of radius i in closed form (a polynomial of degree i) can be obtained, provided that we have i + 1 initial values of the surface area of radius i. This property is known to hold for the hypercube and the star graph. We show in this paper that the property also holds for the (n, k)-star graph, 1 ≤ k ≤ n − 1, a family of interconnection networks that also include the star graph when k = n − 1. We then show that the technique we use for the result is general that can also be used to prove the property for some other networks.

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CapSight: A Social Aid System for the Visually Impaired Using Facial Recognition and Haptic Feedback 13

CapSight: A Social Aid System for the Visually Impaired Usin...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Chi, Chun-Nan Hsu, Jia-Lien Hung, Chi-Huang Huang, Shih-Yung Chen, Cheng-Hsuan Hsu, Chia-Hsun Fu Jen Catholic University Graduate Institute of Applied Science and Engineering New Taipei City Taiwan Fu Jen Catholic University Department of Computer Science and Information Engineering New Taipei City Taiwan National Central University Fu Jen Catholic University Department of Electrical Engineering Taoyuan City Taiwan Fu Jen Catholic University Lee-Ming Institute of Technology Graduate Institute of Applied Science and Engineering Dept. of Information Technology New Taipei City Taiwan Kang Chiao International School Dept. of International High School New Taipei City Taiwan

ISBN: (纸本)9798350355079

This study introduces "CapSight,"a system for enhancing social interaction in visually impaired individuals. It includes a single-board computer, camera, vibration motors, and Bluetooth bone conduction headphones on a baseball cap. The camera identifies people using facial recognition and announces names through the headphones, with vibration motors indicating face positions. Users can add new friends by taking a photo and recording their name. This system helps visually impaired individuals recognize and locate social partners, boosting confidence and independence. © 2024 IEEE.

关键词： Headphones

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Hands-on Active Learning Approach to Teach Artificial Intelligence/Machine Learning to Elementary and Middle School Students 32

Hands-on Active Learning Approach to Teach Artificial Intell...

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32nd Wireless and Optical Communications Conference, WOCC 2023

作者： Sinha, Neelu Evans, Ryan F. Carbo, MacKenzie Fairleigh Dickinson University Department of Mathematics and Computer Science MadisonNJ United States Fdu Cs Hub and Haskell Elementary School Wanaque School District Dept. of Math and Comp Sci HaskellNJ United States

ISBN: (纸本)9798350337150

The last decade has seen a surge in expanding access to computer science (CS) education, especially for K-12, with many states even stipulating student learning standards in CS and Computational Thinking (CT). Our 21st century K-12 students are no longer just computer users, but are now required to be computationally literate creators with proficient skills both in the concepts and practices of CS and CT. At the same time, technology continues to pervade our lives and expand at a relentless pace and all aspects of our lives are now embedded in technology surrounded by Artificial Intelligence (AI). AI in the form of Machine Learning (ML) is a key technology in a diversity of applications, where we use sensors to meaningfully perceive the world around us, analyze and organize the perceived data, and autonomously use that data to make predictions and decisions. In higher education, AI/ML courses proliferate, with many institutions now conferring degrees and certifications in these. To an extent, some high schools (grades 9-12) have started introducing these concepts in a technology class, or a robotics club, or as an after-school activity. As for middle (grades 6-8) and elementary school (grades K-5), there are very few examples of such instruction. In this paper, we present a complete framework for elementary and middle school teachers to help them prepare and incorporate AI/ML lessons in their classrooms using hands-on active learning strategies. We want to empower these teachers to impart improved learning to their students, which in turn will prepare their students to become effective thinkers, problem solvers, communicators, and gain necessary skills for high-skilled and high-demand jobs. We describe a detailed AI/ML lesson plan based on standards and framework, AI4K12 big ideas, art and science of curriculum design, active learning, and culturally responsive and inclusive pedagogy. Then we discuss our experiences in teaching the same to 4th grade students in an e

关键词： Curricula

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