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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Improved Accuracy of Robotic Arm Using Virtual Environment 1

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International Conference on Artificial Intelligence: Theory and Applications (AITA)

作者： Rastogi, Utkarsh Sayyad, Javed Ramesh, B. T. Bongale, Arunkumar Symbiosis Int Deemed Univ SIU Symbiosis Inst Technol SIT Dept Robot & Automat Engn Pune 412115 Maharashtra India

ISBN: (数字)9789819984794

ISBN: (纸本)9789819984787;9789819984794

Robotic arms are utilized in various fields, but their precision remains an issue, particularly in high-precision applications. Simulation and testing of the robotic arm's movements in a virtual environment can improve its accuracy. This paper examines how VE technology improves robot arm precision and summarizes relevant studies. A strategy for improving robotic arm accuracy using VE technology is proposed, along with simulation results. This work presents an improved method for improving the precision of a six-DOF robotic arm by utilizing MATLAB Simulink's VE, Fusion 360 for design, and SIMSCAPE for validation. This approach improves existing methods to enhance both performance and accuracy and guarantees precise control and movement confirmation.

关键词： Automation Robotic arm Virtual environment MATLAB Degree of freedom SIMULINK SIMSCAPE

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Preserving the Artifacts of the Early Digital Era: A Study of What, Why and How? 20th

Preserving the Artifacts of the Early Digital Era: A Study o...

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20th International Workshop on Combinatorial Image Analysis (IWCIA)

作者： Grzeszczuk, Maciej Skorupska, Kinga Polish Japanese Acad Informat Technol Warsaw Poland Fdn Hist Home Comp Warsaw Poland

ISBN: (纸本)9783031665936;9783031665943

In this article, we report the pilot results of a survey study (N = 1036) related to social attitudes towards the early digital heritage. On the basis of the answers, we consider what constitutes early digital artifacts (EDA) and outline how knowledge about them can be useful. We explore attitudes toward the historical and cultural importance of various EDAs and chart the surveyed requirements for their successful and sustainable preservation for current and future generations.

关键词： computing history retrocomputing magnetic media early digital artifacts demoscene

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A New Classification of Target Coverage Models in WSNs, Survey and Algorithms and Future Directions 9th

A New Classification of Target Coverage Models in WSNs, Surv...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Boualem, Adda De Runz, Cyril Kholidy, Hisham Bengheni, Abdelmalek Taibi, Djahida Ayaida, Marwane Ibn Khaldoun Univ Dept Comp Sci Tiaret Algeria Univ Tours LIFAT Blois Loir & Cher France SUNY Coll Engn New York Polytech Inst New York NY USA Univ Polytech F-59300 Valenciennes France

ISBN: (纸本)9789819732982;9789819732999

dThe importance given to addressing the k-target coverage problem (k >= 1) in the wireless sensor network, makes problem-solving spawn diverse domains, such as medicine (chronic disease monitoring and heartbeat monitoring), atmospheric events, such as (monitoring and measuring temperature, humidity, fog percentage, and pressure), and other domains. This importance has led to the proposal of various classifications of target coverage. This paper proposes a target coverage algorithm based on finding the disjoint sensor covers (DSC) to maximize coverage with minimum energy consumption over the lifetime of the sensor nodes used, and a new classification of linear and nonlinear target coverage based on deployment type, DSC and targets number) that enhances the advantages of this type of coverage in WSNs for various applications, particularly in the fields of medicine, biology and drug control.

关键词： WSN Target coverage Linear and nonlinear target coverage Connectivity Coverage Efficient energy

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The Impact of E-Learning on the Processes of Learning and Memorization 13th

The Impact of E-Learning on the Processes of Learning and Me...

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13th Computer Science Online Conference

作者： Phuong Hoang Nguyen Almufti, Saman M. Esponda-Perez, Jorge Alberto Garcia, Dario Salguero Haris, Ikhfan Tsarev, Roman Univ Social Sci & Humanities Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City Vietnam Bahdinan Inst Dept Comp Duhok Iraq Akre Univ Appl Sci Dept Informat Technol Tech Coll Informat Akre Duhok Iraq UNICACH Tuxtla Gutierrez Mexico Almeria Univ Almeria Spain Univ Negeri Gorontalo Gorontalo Indonesia MIREA Russian Technol Univ RTU MIREA Moscow Russia Bauman Moscow State Tech Univ Moscow Russia

ISBN: (纸本)9783031705946;9783031705953

In the modern world, where technological innovations are rapidly transforming society, education plays a key role in preparing students for the challenges of the future. This paper investigates the impact of e-learning on learning and memorization processes and provides a foundation for future research in the field of e-learning. This paper includes analysis of experimental data and graphical representations that deepen the understanding of the effectiveness of e-learning. E-learning tools, which include digital and multimedia resources, interactive methods, virtual environments, allow students to best understand and remember the necessary information, promote individualization of the learning process, which is also of great importance in achieving high learner outcomes. In our research, based on the concept of Ebbinghaus forgetting curve, we were able to confirm the effectiveness of e-learning for learning and memorization of educational material in comparison with traditional methods. The results of the analysis showed that, due to e-learning means, after one month, the students of the experimental group were able to retain in their memory the received information, as well as significantly increase the level of understanding of the educational material, which, among other things, contributed to the individualization of the learning process, self-regulation, and the possibility of choice. The present study, aimed at identifying practical aspects of e-learning implementation, was an important contribution to the field of education. Its results should serve as a starting point for further research aimed at improving the effectiveness of educational methods and meeting the needs of modern learners. #CSOC1120.

关键词： E-Learning Digital Resources Memory Remembering Learning Material Personalization Educational Process Ebbinghaus Forgetting Curve

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Challenges of Deepfakes 1

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Computing Conference

作者： Kopecky, Sandra New York Inst Technol Old Westbury NY 11568 USA

ISBN: (数字)9783031622816

ISBN: (纸本)9783031622830;9783031622816;9783031622809

In the era of advanced technology, deepfakes have emerged as a significant ethical and legal concern, posing threats to individuals, societies, and democratic processes. This paper delves into the multifaceted challenges posed by deepfakes, emphasizing their potential to mislead, manipulate, and disrupt various domains, including politics, national security, and public discourse. The study highlights the complexity of detecting deepfakes, which are highly convincing video and audio forgeries created by artificial intelligence programs. These forgeries, often indistinguishable from authentic recordings, raise concerns about their impact on public opinion, elections, and national security. The paper discusses the potential consequences of deepfakes, including the erosion of trust in institutions, financial fraud, election interference, and national security threats. Addressing these challenges requires a multi-faceted approach, including technological solutions, responsible AI development, legislation, international cooperation, and societal awareness. Efforts to combat deepfakes involve the development of detection tools, ethical AI practices, legal regulations, and global collaboration to share information and best practices. Moreover, promoting media literacy and critical thinking among the public is crucial in mitigating the negative impacts of deepfakes and preserving the integrity of democratic processes.

关键词： Deepfake Security Misinformation

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VGG-16 Neural Network-Based Visual Artificial Potential Field for Autonomous Navigation of Ground Robots 18th

VGG-16 Neural Network-Based Visual Artificial Potential Fiel...

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18th International Conference on Intelligent Autonomous systems (IAS)

作者： Gonzalez, Antonio Galiza Cerdeira Venture, Gentiane Mizuuchi, Ikuo Tokyo Univ Agr & Technol 2 Chome-2-24-16 Nakacho Koganei Tokyo 1840012 Japan Univ Tokyo 7 Chome-3-1 HongoBunkyo Tokyo 1138656 Japan

ISBN: (纸本)9783031449802;9783031449819

This paper describes a novel end-to-end robot visual navigation architecture using monocular gray scale images and a VGG-16-based neural network architecture to safely navigate a differential drive robot Plantroid, avoiding static and moving obstacles. Training data for the neural network is generated in simulated environments using the artificial potential field method. Experiments with the virtual and real robot were performed to validate the proposed architecture.

关键词： Robotics Intelligent agents Artificial intelligence

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Metaheuristic Optimized Extreme Gradient Boosting Milling Maintenance Prediction 4th

Metaheuristic Optimized Extreme Gradient Boosting Milling Ma...

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4th Congress on Intelligent systems (CIS)

作者： Bozovic, Aleksandra Jovanovic, Luka Desnica, Eleonora Bacanin, Nebojsa Zivkovic, Miodrag Antonijevic, Milos Mani, Joseph P. Univ Novi Sad Tech Fac Mihajlo Pupin Dure Dakovica bb Zrenjanin 23000 Serbia Singidunum Univ Danijelova 32 Belgrade 11000 Serbia Modern Coll Business & Sci Muscat Oman

ISBN: (纸本)9789819990368;9789819990375

Machining plays a crucial role in modern manufacturing, relying on automated processes to efficiently create complex parts through subtractive like lathe turning and cutting. However, a major concern in this manufacturing process is tool wear, necessitating a robust system for proactive malfunction detection. To keep up with advancements and meet the increasing demands of speed and precision, artificial intelligence (AI) emerges as a promising solution. However, AI algorithms often require fine-tuning of hyperparameters, which poses a challenge. Swarm intelligence algorithms, inspired by collaborative behaviors observed in nature, offer a potential solution. By applying swarm intelligence to hyperparameter optimization, AI algorithms can achieve optimized models that address time and hardware constraints. This work proposes a methodology based on Extreme Gradient Boosting (XGBoost) for forecasting malfunctions. Additionally, a modified optimization metaheuristic is introduced to specifically enhance the performance of this methodology. To evaluate the proposed approach, it has been applied to a real-world dataset and compared to several well-known optimizers. The results demonstrate admirable performance, highlighting the potential of swarm intelligence in achieving efficient and effective machining processes.

关键词： Optimization Predictive maintenance Forecasting Machining Extreme gradient boosting

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Optimizing Medium Access Protocols: A Comprehensive Node-Level Performance Analysis Exploring Network Density and Data Length 4th

Optimizing Medium Access Protocols: A Comprehensive Node-Lev...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Zila, Amine Ouchatti, Abderrahmane Mouzouna, Youssef Hassan 2 Univ Ain Chock Fac Sci FSAC Lab GEITIIL Casablanca Morocco Hassan 2 Univ Natl High Sch Elect & Mech ENSEM Lab LRI Casablanca Morocco

ISBN: (纸本)9783031686498;9783031686504

Wireless Sensor networks (WSNs) are made up of numerous small, low-power sensor nodes that work together to gather and transmit data from the environment. The successful operation of WSNs depends on robust communication protocols. Researchers have developed and evaluated numerous communication protocols and techniques aimed at offering reliable and energy-efficient communication in WSNs. Selecting an appropriate communication protocol and enhancing its performance for a certain application, on the other hand, remains a substantial challenge. In this study, we evaluate the performance of the IEEE 802.15.4 Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol in a Contiki-basedWSN application by measuring key Node-Level (NL) metrics like latency, Packet Delivery Ratio (PDR) and energy consumption under different network densities and with various data lengths. The results indicate the simulation-based network's usefulness in offering insights into the trade-offs between performance measures and different network setups. The findings help to understand WSN performance characteristics and may be used to drive the design and optimization of medium access protocols in real-world WSN deployments.

关键词： Wireless Sensor networks Contiki IEEE 802.15.4 CSMA/CA

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A Novel Framework of Smart Security System Based on Machine Learning Techniques

A Novel Framework of Smart Security System Based on Machine ...

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Prithviraj Prasad, M. S. Guru Choudhury, Tanupriya Kotecha, Ketan Jain, Deepak Davanageri, Akshay M. NMAM Inst Technol Dept Comp Sci & Engn Nitte Karnataka India Graph Era Deemed Univ Dept Comp Sci & Engn Dehra Dun 248002 Uttarakhand India Graph Era Deemed Univ Dehra Dun 248002 Uttarakhand India Symbiosis Int Deemed Univ Symbiosis Inst Technol Symbiosis Ctr Appl Artificial Intelligence Pune 412115 Maharashtra India Dalian Univ Technol Minist Educ Key Lab Intelligent Control & Optimizing Ind Equi Dalian 116024 Peoples R China Sch Artificial Intelligence Dalian Peoples R China Symbiosis Int Univ Symbiosis Inst Technol Pune Maharashtra India Dayanand Sagar Univ Dept Comp Sci & Engn Bengaluru 562112 India

ISBN: (纸本)9783031671913;9783031671920

This work aims to use Python and OpenCV libraries to create a smart camera system that can function independently and help people. The suggested system can also identify absent items using the frame difference technique. It also has a recording function, an alert function for people entering the room, and an alert function for detecting motion. This project's functions include normal recording, monitoring, recognizing members, detecting noise, and detecting visits in rooms. To identify motion, the SSIM approach is employed by the monitor feature;the LBPH algorithm is utilized for face recognition;and the video writer function of OpenCV is used to record live video while the visitor detection feature keeps an eye out for new faces. Numerous iterations of the intended project's execution have been tried, yielding its own results. The outcomes were commensurate with expectations. Functionality testing showed that the features were useful in achieving their goals. The Python graphical user interface (GUI) program is utilized, and it may run on any PC with a webcam or USB camera. The system incorporates a number of characteristics that may detect and identify criminal activity, making it simpler for law enforcement to apprehend and prosecute offenders while satisfying the security demands of individuals and businesses. Only a few potential additions to the proposed project are mentioned.

关键词： Smart Camera Machine Learning OpenCV Image Processing CCTV

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Multi-echelon Inventory Planning for a One-Warehouse Multiple-Retailer Supply Chain 7th

Multi-echelon Inventory Planning for a One-Warehouse Multipl...

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7th International Conference on Logistics Operations Management (GOL)

作者： Metaireau, Agathe Dhaenens, Clarisse Veerapen, Nadarajen Davy, Manuel Vekia 16 Rue Faidherbe F-59000 Lille France Univ Lille Cent Lille CNRS UMR 9189CRIStAL F-59000 Lille France

ISBN: (纸本)9783031686276;9783031686283

This paper studies a multi-echelon inventory replenishment problem based on a real-world case study. The aim of the study is to describe the problem, understand its underlying requirements and its specific features, and to build a corresponding mathematical model out of this. The paper presents an integer linear program that is proposed to describe the problem and capture its real-world specificities. Experiments are conducted on reduced instances drawn from the original data. These experiments measure the execution time using classical solvers and allow us to conclude on the relevance of such a solving approach for this particular case study.

关键词： Inventory management Supply chain planning Linear Programming

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