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IEEE International Joint Conference on Biometrics (IJCB)

作者： Jan Niklas Kolf Fadi Boutros Jurek Elliesen Markus Theuerkauf Naser Damer Mohamad Alansari Oussama Abdul Hay Sara Alansari Sajid Javed Naoufel Werghi Klemen Grm Vitomir Štruc Fernando Alonso-Fernandez Kevin Hernandez Diaz Josef Bigun Anjith George Christophe Ecabert Hatef Otroshi Shahreza Ketan Kotwal Sébastien Marcel Iurii Medvedev Bo Jin Diogo Nunes Ahmad Hassanpour Pankaj Khatiwada Aafan Ahmad Toor Bian Yang Fraunhofer Institute for Computer Graphics Research IGD Germany TU Darmstadt Germany Department of Electrical and Computer Engineering Khalifa University Abu Dhabi United Arab Emirates Laboratory for Machine Intelligence Faculty of Electrical Engineering University of Ljubljana Slovenia Halmstad University Sweden Idiap Research Institute Martigny Switzerland École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Université de Lausanne (UNIL) Lausanne Switzerland Institute of Systems and Robotics University of Coimbra Coimbra Portugal Department of Information Security and Communication Technology eHealth and Welfare Security Group Norwegian University of Science and Technology Norway

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different teams. To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size. The evaluation of submissions is extended to bias, cross-quality, and large-scale recognition benchmarks. Overall, the paper gives an overview of the achieved performance values of the submitted solutions as well as a diverse set of baselines. The submitted solutions use small, efficient network architectures to reduce the computational cost, some solutions apply model quantization. An outlook on possible techniques that are underrepresented in current solutions is given as well.

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Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

arXiv

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arXiv 2022年

作者： Betz, Johannes Zheng, Hongrui Liniger, Alexander Rosolia, Ugo Karle, Phillip Behl, Madhur Krovi, Venkat Mangharam, Rahul Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia United States Department of Information Technology and Electrical Engineering ETH Zurich Switzerland AMBER Lab California Institute of Technology Pasadena United States Institute of Automotive Technology Technical University of Munich Germany Department of Computer Science University of Virginia Charlottesville United States College of Engineering Computing and Applied Sciences Clemson University Clemson United States

The rising popularity of self-driving cars has led to the emergence of a new research field in the recent years: Autonomous racing. Researchers are developing software and hardware for high performance race vehicles which aim to operate autonomously on the edge of the vehicles limits: High speeds, high accelerations, low reaction times, highly uncertain, dynamic and adversarial environments. This paper represents the first holistic survey that covers the research in the field of autonomous racing. We focus on the field of autonomous racecars only and display the algorithms, methods and approaches that are used in the fields of perception, planning and control as well as end-to-end learning. Further, with an increasing number of autonomous racing competitions, researchers now have access to a range of high performance platforms to test and evaluate their autonomy algorithms. This survey presents a comprehensive overview of the current autonomous racing platforms emphasizing both the software-hardware co-evolution to the current stage. Finally, based on additional discussion with leading researchers in the field we conclude with a summary of open research challenges that will guide future researchers in this field. © 2022, CC BY.

关键词： Motion planning

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The importance of Extended Reality (XR) technologies in education during the Covid-19 pandemic: Implications and challenges

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AIP Conference Proceedings 2023年第1期2608卷

作者： Ahmed Jamah Ahmed Alnagrat Rizalafande Che Ismail Syed Zulkarnain Syed Idrus Faculty of Applied and Human Sciences (FSGM) Universiti Malaysia Perlis (UniMAP) Pauh Malaysia Department of Computer Science and Information Technology Higher Institute of Science and Technology Wadi al-Shati Libya Faculty of Electronic Engineering Technology (FTKEN) Universiti Malaysia Perlis (UniMAP) Padang Besar Malaysia

This study gives a review of Extended Reality (XR)-based on education tools, with a focus on the new technology that has seen significant growth in the context of education during the Covid-19 pandemic. Comprehensive research on XR and its applications for the Covid-19 outbreak is conducted using keywords such as education, virtual reality, and Covid-19 pandemic. This includes searching from databases such as Google Scholar, Scopus, Web of science (WoS), IEEE Xplore, ACM Digital Library, Springer Link, Research Gate, and Academia. The goal of this study was to figure out the significant research efforts in XR technology in the education field during the pandemic. To begin with, we provide an overview of XR followed by describing how this technology contributes to educational experiences. Additionally, we discuss the XR implications and challenges to boost the comprehension of theoretical concepts and technical practice procedures in the education field. Lastly, we consider potential directions for XR technical breakthroughs in present educational experiences linked to the learning domain, as well as preventive measures to prevent the virus from spreading.

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Unmanned aerial vehicle for internet of everything: Opportunities and challenges

arXiv

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arXiv 2020年

作者： Liu, Yalin Dai, Hong-Ning Wang, Qubeijian Shukla, Mahendra K. Imran, Muhammad Faculty of Information Technology Macau University of Science and Technology China Department of Electrical and Computer Engineering University of Saskatchewan Canada College of Applied Computer Science King Saud University Riyadh Saudi Arabia

The recent advances in information and communication technology (ICT) have further extended Internet of Things (IoT) from the sole "things" aspect to the omnipotent role of "intelligent connection of things". Meanwhile, the concept of internet of everything (IoE) is presented as such an omnipotent extension of IoT. However, the IoE realization meets critical challenges including the restricted network coverage and the limited resource of existing network technologies. Recently, Unmanned Aerial Vehicles (UAVs) have attracted significant attentions attributed to their high mobility, low cost, and flexible deployment. Thus, UAVs may potentially overcome the challenges of IoE. This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE. We first present three critical expectations of IoE: 1) scalability requiring a scalable network architecture with ubiquitous coverage, 2) intelligence requiring a global computing plane enabling intelligent things, 3) diversity requiring provisions of diverse applications. Thereafter, we review the enabling technologies to achieve these expectations and discuss four intrinsic constraints of IoE (i.e., coverage constraint, battery constraint, computing constraint, and security issues). We then present an overview of UAVs. We next discuss the opportunities brought by UAV to IoE. Additionally, we introduce a UAV-enabled IoE (Ue-IoE) solution by exploiting UAVs’s mobility, in which we show that Ue-IoE can greatly enhance the scalability, intelligence and diversity of IoE. Finally, we outline the future directions in Ue-IoE. Copyright © 2020, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Convex Iteration for Distance-Geometric Inverse Kinematics

arXiv

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arXiv 2021年

作者： Giamou, Matthew Marić, Filip Rosen, David M. Peretroukhin, Valentin Roy, Nicholas Petrović, Ivan Kelly, Jonathan Institute for Aerospace Studies University of Toronto Canada Faculty of Electrical Engineering and Computing University of Zagreb Croatia Laboratory for Information and Decision Systems Massachusetts Institute of Technology United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States

Inverse kinematics (IK) is the problem of finding robot joint configurations that satisfy constraints on the position or pose of one or more end-effectors. For robots with redundant degrees of freedom, there is often an infinite, nonconvex set of solutions. The IK problem is further complicated when collision avoidance constraints are imposed by obstacles in the workspace. In general, closed-form expressions yielding feasible configurations do not exist, motivating the use of numerical solution methods. However, these approaches rely on local optimization of nonconvex problems, often requiring an accurate initialization or numerous re-initializations to converge to a valid solution. In this work, we first formulate inverse kinematics with complex workspace constraints as a convex feasibility problem whose low-rank feasible points provide exact IK solutions. We then present CIDGIK (Convex Iteration for Distance-Geometric Inverse Kinematics), an algorithm that solves this feasibility problem with a sequence of semidefinite programs whose objectives are designed to encourage low-rank minimizers. Our problem formulation elegantly unifies the configuration space and workspace constraints of a robot: intrinsic robot geometry and obstacle avoidance are both expressed as simple linear matrix equations and inequalities. Our experimental results for a variety of popular manipulator models demonstrate faster and more accurate convergence than a conventional nonlinear optimization-based approach, especially in environments with many obstacles. Copyright © 2021, The Authors. All rights reserved.

关键词： Inverse kinematics

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Analysis of Twitter Data Using Evolutionary Clustering during the COVID-19 Pandemic

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computers, Materials & Continua 2020年第10期65卷 193-203页

作者： Ibrahim Arpaci Shadi Alshehabi Mostafa Al-Emran Mahmoud Khasawneh Ibrahim Mahariq Thabet Abdeljawad Aboul Ella Hassanien Department of Computer Education and Instructional Technology Tokat Gaziosmanpasa UniversityTokatTurkey Department of Computer Engineering University of Turkish Aeronautical AssociationAnkaraTurkey Applied Computational Civil and Structural Engineering Research Group Faculty of Civil EngineeringTon Duc Thang UniversityHo Chi MinhVietnam College of Engineering and Technology American University of the Middle EastKuwaitKuwait Department of Mathematics and General Sciences Prince Sultan UniversityRiyadh66833Saudi Arabia Department of Medical Research China Medical UniversityTaichung40402Taiwan Department of Computer Science and Information Engineering Asia UniversityTaichungTaiwan Faculty of Computers and AI Cairo UniversityGizaEgypt Scientific Research Group in Egypt CairoEgypt

People started posting textual tweets on Twitter as soon as the novel coronavirus(COVID-19)*** these tweets can assist institutions in better decision-making and prioritizing their ***,this study aimed to analyze 43 million tweets collected between March 22 and March 30,2020 and describe the trend of public attention given to the topics related to the COVID-19 epidemic using evolutionary clustering *** results indicated that unigram terms were trended more frequently than bigram and trigram terms.A large number of tweets about the COVID-19 were disseminated and received widespread public attention during the *** high-frequency words such as“death”,“test”,“spread”,and“lockdown”suggest that people fear of being infected,and those who got infection are afraid of *** results also showed that people agreed to stay at home due to the fear of the spread,and they were calling for social distancing since they become aware of the *** can be suggested that social media posts may affect human psychology and *** results may help governments and health organizations to better understand the psychology of the public,and thereby,better communicate with them to prevent and manage the panic.

关键词： Twitter social media evolutionary clustering COVID-19 coronavirus

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Prewavy instability-originated dielectric chevrons of electroconvection in nematic liquid crystals

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Physical Review E 2020年第4期102卷 042704-042704页

作者： Masato Shiomi E-Joon Choi Jong-Hoon Huh Department of Physics and Information Technology Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka 820-8502 Japan Department of Polymer Science and Engineering Kumoh National Institute of Technology Gumi Gyungbuk 730-701 Korea

This paper reports the pattern formation and evolution in a high-frequency dielectric regime observed in the AC-driven electroconvection of nematic liquid crystals (NLCs). It is determined that prewavy (PW) instability is essential for the formation and evolution. Specifically, in a twisted-aligned NLC cell, we observe a unique pattern that is comparable to the dielectric chevrons (DCVs) typically observed in a conventional planarly aligned pattern. It is determined to be a combined PW pattern with dielectric normal rolls (DNRs). Moreover, the power indices (αPW, αDNR, and αDCV) are determined from the frequency-dependent thresholds (Vth∝fα) of PW, DNR, and DCV. By taking into account the appearance of PW and the different power indices, the pattern evolution scenarios for DCV are proposed, which can well explain the previous experimental results. Specifically, the PW-originated DCV2 clearly differs from the defect-mediated DCV1, which is known as a typical pattern evolution.

关键词： Pattern formation

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Influences of Network Delay on Cooperative Work in Networked Virtual Environment with Haptics

Influences of Network Delay on Cooperative Work in Networked...

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IEEE Region 10 International Conference TENCON

作者： Su Thandar Aung Yutaka Ishibashi Khin Than Mya Hitoshi Watanabe Pingguo Huang Faculty of Computer Science University of Computer Studies Yangon Myanmar Graduate School of Engineering Nagoya Institute of Technology Nagoya Japan Faculty of Computer Systems and Technologies University of Computer Studies Yangon Myanmar Faculty of Engineering Tokyo University of Science Tokyo Japan Faculty of Economics and Information Gifu Shotoku Gakuen University Gifu Japan

ISBN: (数字)9781728184555

ISBN: (纸本)9781728184562

In this paper, we investigate influences of the network delay on haptic cooperative work in a networked virtual environment by experiment. In the work, two users carry an object cooperatively in a networked maze system by manipulating haptic interface devices. We handle two carrying methods in our experiment. In one method, the two users hold the object. In the other method, one user holds the object and the other user pushes it. We measure the operation time and reaction force, and we compare them between the two methods. Experimental results demonstrate that the former method has smaller average operation time than the latter method, but the average reaction force is larger in the former.

关键词： Force Delays Haptic interfaces Collaborative work Three-dimensional displays Virtual environments Quality of service

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Experimental Study and Atomistic Simulations on Gadolinium-Doped Manganese-Barium Based Y-Type Hexaferrites for Magnetic Hyperthermia

SSRN

引用

SSRN 2023年

作者： Khan Asghar, H.M. Noor ul Huda Ali, Muzaffar Gilani, Zaheer Abbas Shar, Muhammad Ali Ali, Syed Mansoor Khan, Muhammad Azhar Hisham, M. Manzoor, Alina Haq, Siraj Ul Rashid, Amin Ur Khan, Muhammad Yaqoob Department of Physics Balochistan University of Information Technology Engineering & Management Sciences Quetta87300 Pakistan Department of Mechanical & Energy Systems Engineering Faculty of Engineering and Informatics University of Bradford BradfordBD7 1DP United Kingdom Department of Physics and Astronomy College of Science King Saud University P.O. Box 2455 Riyadh11451 Saudi Arabia Institute of Physics The Islamia University of Bahawalpur Bahawalpur63100 Pakistan Department of Applied Physics Federal Urdu University of Arts Science and Technology Islamabad Pakistan Department of Physics Government College University Faisalabad38000 Pakistan Department of Physics Pukyong National University Busan48513 Korea Republic of Department of Applied Physical & Material Sciences University of Swat Pakistan Department of Physics Kohat University of Science and Technology Khyber Pakhtunkhwa Kohat26000 Pakistan

Gd-doped manganese barium y-type hexaferrite nanoparticles (Mn2Ba2GdxFe12-xO22) were synthesized using the sol-gel method. The magnetic properties, including saturation magnetization, coercivity, and Curie temperature (TC), were investigated for varying Gd concentrations (x = 0.00, 0.05, 0.10, 0.15, 0.20, 0.25). Results showed a decrease in these properties with increasing Gd concentration. The TC ranged from 254 K to 290 K. The experimental findings were compared to simulations conducted using the Vampire atomistic simulator, showing good agreement with the experimental TC values. Additionally, the samples were subjected to an alternating magnetic field with amplitude 170 Ôe and frequencies of 327 kHz and 734 kHz. Specific absorption rate (SAR) values were measured which increased with higher Gd concentration, peaking at 341 W/g for an alternating magnetic field of 170 Ôe and frequency of 734 kHz. Despite the TC being below the therapeutic range of 315 – 320 K, the samples exhibited high SAR values. © 2023, The Authors. All rights reserved.

关键词： Barium

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Symmetries of cross caps

arXiv

引用

arXiv 2021年

作者： Honda, Atsufumi Naokawa, Kosuke Saji, Kentaro Umehara, Masaaki Yamada, Kotaro Department of Applied Mathematics Faculty of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya Yokohama240-8501 Japan Department of Computer Science Faculty of Applied Information Science Hiroshima Institute of Technology 2-1-1 Miyake Saeki Hiroshima731-5193 Japan Department of Mathematics Faculty of Science Kobe University Rokko Kobe657-8501 Japan Department of Mathematical and Computing Sciences Tokyo Institute of Technology Tokyo152-8552 Japan Department of Mathematics Tokyo Institute of Technology Tokyo152-8551 Japan

It is well-known that cross caps on surfaces in the Euclidean 3-space can be expressed in Bruce-West's normal form, which is a special local coordinate system centered at the singular point. In this paper, we show a certain kind of uniqueness of such a coordinate system. In particular, the functions associated with this coordinate system produce new invariants on cross cap singular points. Using them, we characterize the possible symmetries on cross *** Codes 57R45, 53A05 Copyright © 2021, The Authors. All rights reserved.

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