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arXiv 2023年

作者： Ichishima, Rikio Muntaner-Batle, Francesc A. Department of Sport and Physical Education Faculty of Physical Education Kokushikan University 7-3-1 Nagayama Tama-shi Tokyo206-8515 Japan Graph Theory and Applications Research Group School of Electrical Engineering and Computer Science Faculty of Engineering and Built Environment The University of Newcastle NSW2308 Australia

A graph G is said to be super edge-magic if there exists a bijective function f: V (G) ∪ E (G) → {1, 2, . . ., |V (G)| + |E (G)|} such that f (V (G)) = {1, 2, . . ., |V (G)|} and f (u) + f (v) + f (uv) is a constant for each uv ∈ E (G). In this paper, we study the super edge-magicness of graphs of order n with degree sequence s: 4, 2, 2, . . ., 2. We also investigate the super edge-magic properties of certain families of graphs. This leads us to propose some open problems. © 2023, CC BY.

关键词： Graph theory

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Exploring the non-Hermitian topology of exceptional points in lasers and fiber loops

Exploring the non-Hermitian topology of exceptional points i...

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2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023

作者： Schumer, Alexander Nasari, Hadiseh Liu, Yuzhou G.N. Lopez-Galmiche, Gisela Leshin, Jason Lopez-Aviles, Helena E. Ding, Lei Alahmadi, Yousef Hassan, Absar U. Zhong, Qi Rotter, Stefan LiKamWa, Patrick Christodoulides, Demetrios N. Khajavikhan, Mercedeh ViennaA-1040 Austria Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States CREOL The College of Optics & Photonics University of Central Florida OrlandoFL United States Center of Excellence for Telecomm Applications Joint Centers of Excellence Program King Abdul Aziz City for Science and Technology Riyadh11442 Saudi Arabia Department of Physics & Astronomy University of Southern California Los AngelesCA United States

ISBN: (纸本)9798350345995

When non-Hermitian eigenvalue surfaces form intertwined Riemann surfaces, the corresponding non-Hermitian singularities, also know as exceptional points (EPs), are located at the center of this specific topology. Various experimental platforms have recently been presented in which interesting new physics associated with these branch point singularities can be explored. In particular, it has been shown that dynamically encircling EPs may lead to a so-called chiral state transfer. The chirality in this context refers to the fact that in such an encircling protocol, the final state at the end of an EP-enclosing loop solely depends on the encircling direction (clockwise or counterclockwise), but not on the initial state. Such a chiral behavior is intrinsically linked to the state vector deviating from adiabatically following the system's eigenstates associated with the eigenvalue surfaces;instead, due to the non-Hermitian violation of the adiabatic theorem, non-adiabatic jumps let the system undergo transitions from lossy eigenstates to eigenstates with gain. Here, we present two experiments that implement concepts that go beyond this established paradigm. © 2023 IEEE.

关键词： Topology

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A Green and Secure Model for Fog Computing in Mobile Cloud Environments Using Containerization

A Green and Secure Model for Fog Computing in Mobile Cloud E...

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Automation and Computation (AUTOCOM), International Conference on

作者： Bichitrananda Patra Kanika Seth Mithun Kumar S Kalyan Acharjya Ankayarkanni B Danish Kundra Department of Computer Applications Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Mangement - UG Management JAIN (Deemed to be University) Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Internet of Things devices, and mobile computing, there is a growing demand for effective data processing where computation meets network traffic. Here, the fog computing concept has emerged to cater to this demand through a decentralized architecture that allows the processing and storing of data closer to end-users. Despite this, the dynamic and diverse fog computing ecosystem delivers security threats and resource efficiency challenges. This article introduces a solution for it, called the Green and Secure Model for Fog Computing in Mobile Cloud Environments, by implementing container architecture. Containers allow applications with dependencies to be bundled together for improved portability, scalability, and resource utilization models such as GSM-FCMCE. Moreover, the model contains an intelligent security layer where encryption and data- authentication and access control paradigms-help protect volatile information from malicious attacks. In addition, the proposed model adopts green computing techniques to minimize energy utilization and increase sustainability in fog-based environments. By performing many experiments and simulations, the efficiency in terms of security achieved based on the GSM-FCMCE model works to minimize energy waste rate and increase resource utilization. It would seem quite a viable model for the cloud computing community to solve some of these fog-related issues and introduce more sustainable & secure mobile data processing.

关键词： Cloud computing Computational modeling Scalability Green products computer architecture Containers Data processing Resource management Sustainable development Edge computing

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Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images

arXiv

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arXiv 2025年

作者： Chen, Wei-Lun Hsieh, Chia-Yeh Kao, Yu-Hsiang Liu, Kai-Chun Peng, Sheng-Yu Tsao, Yu Research Center for Information Technology Innovation Academic Sinica Taiwan Graduate Institute of Electrical Engineering National Taiwan University Taiwan Bachelor’s Program in Medical Informatics and Innovative Applications Fu Jen Catholic University Taiwan Department of Electrical Engineering National Taiwan University Taiwan College of Information and Computer Sciences University of Massachusetts AmherstMA01003 United States Department of Electrical Engineering National Taiwan University of Science of Technology Taiwan

This study presents a novel approach to human keypoint detection in low-resolution thermal images using transfer learning techniques. We introduce the first application of the Timed Up and Go (TUG) test in thermal image computer vision, establishing a new paradigm for mobility assessment. Our method leverages a MobileNetV3-Small encoder and a ViTPose decoder, trained using a composite loss function that balances latent representation alignment and heatmap accuracy. The model was evaluated using the Object Keypoint Similarity (OKS) metric from the COCO Keypoint Detection Challenge. The proposed model achieves better performance with AP, AP50, and AP75 scores of 0.861, 0.942, and 0.887 respectively, outperforming traditional supervised learning approaches like Mask R-CNN and ViTPose-Base. Moreover, our model demonstrates superior computational efficiency in terms of parameter count and FLOPS. This research lays a solid foundation for future clinical applications of thermal imaging in mobility assessment and rehabilitation monitoring. Copyright © 2025, The Authors. All rights reserved.

关键词： Thermography (imaging)

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3D Modelling and Rendering Using Autodesk 3ds Max

3D Modelling and Rendering Using Autodesk 3ds Max

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Annual Information Technology, Electromechanical engineering and Microelectronics Conference (IEMECON)

作者： Priyal Dangi Akshat Jain Debabrata Samanta Soumi Dutta Abhishek Bhattacharya Dept. of Computer Science CHRIST University Bangalore Karnataka India Dept. of Computing and Information Technologies RIT Kosovo (A.U.K) Prishtina Kosovo Europe Rochester Institute of Technology RIT Global Campus Prishtina Kosovo Europe Dept. of Computer Science & Applications Institute of Engineering & Management Kolkata India

This is outlined how to create a 3D custom kitchen design, including how to set up the sources, details, work with managing various modifiers like edit poly, slice, mesh select, turbo smooth, lattice, bend, shell modifier, so to provide the kitchen an authentic appearance. The method materials are fitted to the model output, together with illuminating the environment leveraging Arnold lights that are intended to be utilized with this renderer only. It has features that are optimised for rendering with Arnold. Procedures and methods regarding rendering are indeed specified. The final rendering was made out of several drawings. Our report’s intention is to develop a kitchen design that enriches models with materials and ample shapes from standard extended primitive along with the mostly utilization of pro-boolean. Finally, a material editor was used to improve the model. target illumination, too.

关键词： Solid modeling Three-dimensional displays Shape Education Lighting Lattices Microwave communication

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Manipulating Piezoelectric and Electro-Strain Properties of BiFeO3-BaTiO3-Based Ceramics Through Chemical Doping-Controlled Domain-Size engineering

SSRN

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SSRN 2025年

作者： Lin, Jiamin Liu, Bing Liu, Mengxiang Yang, Shan Zhou, Linming Hong, Zijian Zhu, Xiaoli Wu, Yongjun Li, Juan Huang, Yuhui School of Materials Science and Engineering State Key Laboratory of Silicon and Advanced Semiconductor Materials Cyrus Tang Center for Sensor Materials and Applications Institute of Fundamental and Transdisciplinary Research Zhejiang University Hangzhou310027 China Nanhu Brain-computer Interface Institute Zhejiang Hangzhou311100 China College of Electronic Information and Engineering Hangzhou Dianzi University Zhejiang Hangzhou310018 China Zhejiang Key Laboratory of Advanced Solid State Energy Storage Technology and Applications Taizhou Institute of Zhejiang University Zhejiang Taizhou318000 China School of Engineering Hangzhou City University Zhejiang Hangzhou310015 China College of Materials and Science Engineering Zhejiang University of Technology Zhejiang Hangzhou310006 China

Ferroelectric domains are crucial for the performance of piezoelectric ceramics, as the size and switching dynamics affect polarization response directly, manipulating both ferroelectric and piezoelectric properties. In this study, we achieved BiFeO3-BaTiO3 ceramics with domain sizes from macroscopic to nanoscale by incorporating a small amount of antiferroelectric phase. Contrary to the long-standing belief that smaller ferroelectric domains own lower polarization switching barriers and yield higher piezoelectricity, we found that in chemical doping-controlled domain size engineering, the smaller the domain size, the more difficult it is for polarization switching. Ceramics with the largest domain exhibited superior positive piezoelectric performance due to the sufficient polarization switching and reduced domain wall pinning, achieving a piezoelectric coefficient (d33) of 460 pC/N at 350°C. Middle-sized domains achieved optimal electro-strain performance determined by the trade-off between the domain walls pinning and the increased local tetragonal or orthorhombic symmetries, with a strain (0.29%) and an excellent piezoelectric strain coefficient (d33*) of 726.4 pm/V at 160°C. This work provides novel insights into how domain-size engineering affects domain switching and local distortion, offering guidance for performance optimization of piezoelectric ceramics. © 2025, The Authors. All rights reserved.

关键词： Piezoelectricity

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Multiple Target Research of Construction Progress on the Basis of on BIM and Decide Tree Algorithms 2

Multiple Target Research of Construction Progress on the Bas...

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2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Selvakanmani, S. Yadav, C. Hazarathaiah Singh, Brijesh Manigandan, E. Kumar, Satheesh S. Karthik, B. Department of Information Technology RMK Engineering College RSM Nagar Chennai India Department of Chemistry Vel Tech Rangarajan Dr.Sagunthala R&D institute of Science and Technology Chennai India Department of MBA CMR Institute Of Technology Bangalore India Department of Computer Applications Saveetha College of Liberal Arts and Sciences Thandalam Tamilnadu Chennai602105 India Department of Artificial Intelligence and Data Science Bannari Amman Institute of Technology Sathyamangalam Tamilnadu Erode India Department of Electrical and Electronics Engineering Sona college of technology Salem India

ISBN: (纸本)9798350305418

Because of India's growing urbanization, coupled with dwindling urban land supply and rising land costs, the construction of high-rise structures has emerged as the dominant method to urban planning and development. The rapid growth of India's economy and the rapid pace of urbanization have resulted in an increasing urban population, raising the requirement for effective land usage. High-rise structures have gradually been the main center of urban construction projects in response to these *** primary goal of this study is to look into the use of Building Information Modeling (BIM) in building projects with the goal of optimizing the use of information received from it. Numerous graphs and algorithmic formulas are developed during the study to examine and illustrate these features. According to the findings of the study, a significant amount, accounting for 28.2% of the total, is related to various focused research procedures. As a result, the interest and significance of this field of investigation are expected to endure and develop in the coming years.. © 2023 IEEE.

关键词： BIM and decide tree Algorithms Multiple target maximize of construction progress

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IoT based Monitoring of Mushroom

IoT based Monitoring of Mushroom

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Sustainable Computing and Data Communication Systems (ICSCDS), International Conference on

作者： J. Lysa Eben Chamandeep Kaur Mathews T Thelly Parimita Department of Computer Applications School of Computing Sciences Vels Institute of Science Technology and Advanced Studies Chennai India Department of Computer Science and Information Technology Jazan University Jazan Saudi Arabia Department of Botany Kuriakose Elias College Mannanam India Agricultural Engineering Sam Higginbottom University of Agriculture Technology & Sciences Prayagraj India

Most of India’s population relies on farming for their livelihood. Every year brings new advances in agricultural technology. The use of wireless sensors in contemporary agriculture is crucial. The employment of wireless sensors across a wide range of agricultural applications has a profoundly favourable effect on crop productivity and economic efficiency. The mushroom business is still relatively young and modest compared to other sectors of India’s agricultural market. The white button mushroom is India’s most commercially significant fungus and is a global favourite. It may be grown anywhere with a suitable climate and soil, but most of the world’s supply comes from North India in the winter. For mycelia to flourish, the ideal temperature range is between 22 and 25 degrees Celsius. In contrast, the sweet spot for developing fruit bodies is between 14 and 18 degrees Celsius with high relative humidity. Equipment for maintaining a steady temperature and pasteurising the mushrooms, should be present in the rooms used for growing. The primary objective of this study is to automate the mushroom production plant and keep track of the crop room’s environmental state to reduce the amount of human care required for the mushroom plant. The Internet of Things has also modernized agriculture industries, creating an environmental monitoring and regulating system that is used in the mushroom farm in this work. Using the Speak internet platform, users may monitor ecological conditions in a mushroom farm on their Android mobile, including the ambient temperature, relative humidity, carbon dioxide level, and light intensity. The Arduino prototype platform is employed as the sensors station’s controller, ensuring that the plant parameters are within the user-specified range. Using a pair of low-power ESP8266 as Wi-Fi modems, the current parameter status is relayed to a distant monitoring station. The integrated Arduino uses the programming environment to write the controller’s cod

关键词： Temperature measurement Temperature sensors Wireless communication Temperature distribution Wireless sensor networks Soil moisture Crops

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Implementation of an Effective Methodology to Avoid DDoS Attacks using Cybersecurity Norms

Implementation of an Effective Methodology to Avoid DDoS Att...

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Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), International Conference

作者： R Balamurugan B. Anni Princy D. Kanchana M. Murugesan A Josphin Selsia M Dinesh Department of Artificial Intelligence and Machine Learning AJK College of Arts and Science Coimbatore Tamil Nadu India Department of Computer and Communication Engineering Panimalar Engineering College Chennai Tamil Nadu India Department of Computer Applications SRM Institute of Science and Technology Chennai Tamil Nadu India Department of CSE Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai Tamil Nadu India Department of ECE Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamil Nadu India Department of VLSI Microelectronics Saveetha School of Engineering SIMATS Chennai Tamil Nadu India

Today’s world wouldn't function without the Internet. Because the internet is a universal resource for information gathering, its accessibility is crucial. This research focuses on the Distributed Denial of Service (DDoS) attack because of the severe impact it has on network availability. DDoS attacks work by flooding the target with a large amount of unauthorized data, thereby occupying its available bandwidth as well as preventing genuine traffic from passing throughout. Modern cyber attacks are highly complex and difficult to detect in a decentralized network. In a distributed context, Denial of Service (DoS) and Distributed Denial of Service (DDoS) assaults induce resource unavailability. This has spurred the scientific community to develop viable ways in dispersed situations as a means of minimizing such attacks. This research focuses on the Distributed Denial of Service assault due to its devastating effects on network accessibility as a result of its flood of illegal data that usurps the victim’s bandwidth and stifles the flow of lawful traffic. This paper introduces a new method for detecting DDoS attacks, the Novel Attack Detection Protocol (NADP), and validates its effectiveness by comparing it to a more traditional routing protocol, Dynamic Source Routing (DSR). We have also detailed the various methods used in distributed denial of service attacks on Internet service providers. The goal of this project is to identify potential solutions to this problem, including methods for preventing and mitigating these attacks.

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Big Data for Enhancing Cybersecurity in Enterprise Environments Proactive Threat Detection and Prevention

Big Data for Enhancing Cybersecurity in Enterprise Environme...

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Automation and Computation (AUTOCOM), International Conference on

作者： Upender Reddy Chityala Ammar H. Shnain Manoj Govindaraj Prashant Johri T. Kuppuraj N.Lavanya Devi Equinox IT Solutions LLC (Senior ServiceNow Developer - IHG) Department Of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Management Studies Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India School of Computing Science and Engineering Galgotias University Greater Noida India Department of Computer Applications Karpagam Academy of Higher Education Coimbatore India Department of ECE PSNA College of Engineering and Technology India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

This research explores the integration of big data technologies and machine learning to enhance cybersecurity in enterprise environments focusing on proactive threat detection and prevention. Traditional security systems often struggle to keep up with the growing complexity and volume of cyber threats, necessitating a more advanced, data-driven approach. The proposed methodology leverages real-time data processing, predictive modeling, and anomaly detection to improve threat detection accuracy, reduce response times, and enhance system scalability. By collecting and analyzing data from various network sources, including logs from security devices and endpoint protection software, the system detects potential threats more efficiently than conventional methods. Machine learning algorithms such as supervised and unsupervised learning, along with big data platforms like Apache Spark, enable real-time analysis of large volumes of data, ensuring timely identification of both known and unknown cyber threats. The results demonstrate significant improvements in detection accuracy, system scalability, and incident resolution time, with the proposed methodology outperforming traditional security systems in key performance metrics. This research highlights the potential of big data-driven cybersecurity solutions in addressing modern challenges and offers a framework for organizations to implement more effective, scalable, and proactive security measures to safeguard their digital assets.

关键词： Scalability Prevention and mitigation Machine learning Organizations Big Data Predictive models Data processing Threat assessment Real-time systems computer security

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