In recent years, withthe accelerated pace of digitalization, computing power has emerged as a key infrastructure supporting the development of the digital economy and has become a new engine driving economic and soci...
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ISBN:
(数字)9798331533694
ISBN:
(纸本)9798331533700
In recent years, withthe accelerated pace of digitalization, computing power has emerged as a key infrastructure supporting the development of the digital economy and has become a new engine driving economic and social progress. To promote the deep integration of computing power and network resources while providing users with a ubiquitous and consistent computing service experience, the concept of the computing power network has emerged. However, how to meet the requirements of the computing power network for coordinated planning and efficient adaptation of computing and network resources has become a current research focus. therefore, this paper designs and implements a Service Mesh-based computing power open interconnection system to promote large-scale interconnectivity and network computing integration. the system supports automatic registration, discovery, and updating of computing power services, offering a transparent and efficient invocation mechanism. It features visualization tools for real-time resource monitoring and service interaction.
As artificial intelligence (AI) continues to drive industrial upgrading, the demands for efficient and real-time AI services have escalated. However, meeting these demands poses challenges, particularly within the fra...
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the Multi-access Edge computation (MEC) paradigm is being regarded as a viable alternative for handling data and computation requirements of complex real-time and safety-critical applications in upcoming IoT systems. ...
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the proceedings contain 24 papers. the topics discussed include: P2P, DSM, and other products of the complexity factory;Cell phones as a research platform;PageTailor: reusable end-user customization for the mobile web...
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ISBN:
(纸本)1595936149
the proceedings contain 24 papers. the topics discussed include: P2P, DSM, and other products of the complexity factory;Cell phones as a research platform;PageTailor: reusable end-user customization for the mobile web;MobiUS: enable together-viewing video experience across two mobile devices;NodeMD: diagnosing node-level faults in remote wireless sensor systems;MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones;improving mobile database access over wide-area networks without degrading consistency;real-time deployment of multihop relays for range extension;DALi: a communication-centric data abstraction layer for energy-constrained devices in mobile sensor networks;shooter localization and weapon classification with soldier-wearable networked sensors;experiences of designing and deploying intelligent sensor nodes to monitor hand-arm vibrations in the field;and radio interferometric tracking of mobile wireless nodes.
In this research investigation, the authors have presented some applications of the Universal Representation theory—Rigor I, II, and III. these include Anti-Gravity Design, Matter Structural Integrity Entitification ...
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ISBN:
(纸本)9789819761050
In this research investigation, the authors have presented some applications of the Universal Representation theory—Rigor I, II, and III. these include Anti-Gravity Design, Matter Structural Integrity Entitification Potential Quantum States Management, Self-Organized Electromagnetics, Matter/Energy Entitification Structural Integrity Quantum States Potential Iso-Geodesics Design Static and Dynamic Engineering for Electromagnetic, Beyond Electromagnetic Energy systems, Construction of Static and Dynamic Differential Electromagnetic Tuning Fork Type Antenna systems, Seeding Self-Organization, Tending the Robotic Consciousness To Human Sentience Level Type Consciousness, Notion of time, Parallax and Perception, Notes on Parallax Primality, Some Notes On Implementation Engineering of the Electromagnetic Tuning Fork Antenna systemsthat Emit Self-Organized Electromagnetic Wave systems, Reference Frame Of Any Aspect Primality Of Concern, Free Will, Belief, Engineering Space time Wave Functions Under Specific Influence Type (Star/Black-Hole) By Slating them In the Basis Of Advanced Hole Primality Of the Star/Black-Hole Recursional Field Intensity Strength, Universal Vaccine Design, Aspect Primality ScaleR, Light De-Scattering Or Hyper-LASER systems, Analysis Of Exhaustive Clout Governance Or Influencing systems, Parallel Encryption In Complement Space As A Tool For Checking Any Possible Compromise Of Holistic Primality Engineering Based Detection systems with respect to Tempering Effects, Higher Order Neuronal Perceptron, Answer Is In the Question Science, Truth Induction Engine, Holistic Universal Representation theory Based Detection Technology Tempering Or Rig Identification, Copy Or Parasite Identification, Sentience Pysche Quantification, Copy Identification, Exhaustive Multivariate Hypothesis Testing, Universal Quantum Characterization, Universal Quantum Characterization Scheme Based On the Conservation Of Entropy Of Incidence And Reflection Of Action Aspect Primalit
Industrial maintenance is crucial for companies due to its significant impact on operational costs and efficiency. Many industrial firms find that a substantial portion of their expenses stems from equipment breakdown...
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ISBN:
(纸本)9798331522667
Industrial maintenance is crucial for companies due to its significant impact on operational costs and efficiency. Many industrial firms find that a substantial portion of their expenses stems from equipment breakdowns, failures, or suboptimal performance over time. these costs can sometimes account for up to 50% of overall expenditures. Additionally, companies face various losses, including downtime from breakdowns, challenges in inventory and purchase management, and potential risks of injuries. the objective of this writing is to investigate how Predive maintenance is a footstep towards industry 5.0 where automation of predictive maintenance is evolved to autonomy in maintenance. In addition to it various machine learning algorithms are suggested to identify between healthy and poor data of a machine which is first step in Predictive maintenance then Deep learning algorithms to construct XAI (Explainable artificial Intelligence). Predictive maintenance, production scheduling, problem detection, predictive quality, and increased energy efficiency are highlighted in the typical use cases of the selected AI applications. Data from the real environment is transmitted to be virtually recreated. Efficient industrial maintenance helps mitigate these costs by reducing downtime, improving equipment reliability, and lowering the need for emergency repairs. By implementing a well-designed and optimized maintenance strategy, production plants can ensure their equipment operates as reliably as possible, minimizing disruptions and enhancing overall operational efficiency. Machine Learning (ML) methods have been appeared as a crucial tool in Predictive Maintenance (PdM) applications to prevent failures in equipment that make up the production lines. However, the performance of PdM applications depends on the appropriate choice of the ML method. To save expenses, find inefficiencies, duplicate tool tracking systems, and do other tasks, Digital Twin evaluates material utilization
As the Internet of things (IoT) continues to expand, the need for robust security measures to protect against an increasing range of threats has grown. However, the computational limitations of low-cost IoT devices, c...
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the rise of data-driven and AI-powered monitoring in 5G and beyond has created a need for RAN digital twins to test and enhance network performance without disrupting real-world operations. However, large-scale RAN em...
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Visible Light Communication (VLC) systems are capable of providing significantly higher data rates compared to traditional wireless technologies. Apart from high data rate, other advantages offered by VLC are license ...
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the proceedings contain 94 papers. the topics discussed include: new models for the clustering of large databases through a hierarchical paradigm;adaptive fuzzy logic controller with rule-based changeable universe of ...
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ISBN:
(纸本)0769522866
the proceedings contain 94 papers. the topics discussed include: new models for the clustering of large databases through a hierarchical paradigm;adaptive fuzzy logic controller with rule-based changeable universe of discourse for a nonlinear MIMO system;automatic profile extraction based on frequency distribution of atoms for retrieving similar interaction protein;improving the Web text contents by extracting significant pages into a Web site;text segmentation in Polish;advanced statistical computing for capacitance tomography as a monitoring and control tool;an intelligent knowledge sharing strategy featuring item-based collaborative filtering and case base reasoning;modeling groundwater quality with Bayesian techniques;learning to estimate user interest utilizing the variational Bayes estimator;sequential classification of probabilistic independent feature vectors by mixture models;and unsupervised clustering using self-optimizing neural networks.
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