In this paper, the remotely sensed land surface temperature distribution from two satellites i.e., Aqua and Terra of Jaipur city were used in back propagation neural network system to model and predict the thermal act...
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Virtualized methods are gaining popularity nowadays. Cloud storage in some kind of a complex is also affected. the concept of this study is web grid connected capabilities and real environmental virtualized compute se...
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A precise model with low order for controller design is indispensable for the high performance control of thin flexible structures. Such systems require a high model quality ranging from slow, low frequency dynamics (...
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A precise model with low order for controller design is indispensable for the high performance control of thin flexible structures. Such systems require a high model quality ranging from slow, low frequency dynamics (rigid body) to fast, high frequency dynamics (vibration) for an accurate prediction of the superposed motion. the considered system in this contribution comprises low frequent pendulum dynamics and a dense natural frequency spectrum of a plate. In order to obtain a precises non-square multiple-intput multiple-output model description, an iterative identification procedure applying time and frequency methods is proposed. Additionally, an optimization based model order reduction considering a modal system description is introduced. the precise fit of the reduced order model to the collected data underpins the proposed procedure. Copyright (c) 2025 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)
the proceedings contain 31 papers. the topics discussed include: cost-effective scheduling for Kubernetes in the edge-to-cloud continuum;energy-efficient OECT sensor data analysis on constrained edge devices;CLOUDFACT...
ISBN:
(纸本)9798350343946
the proceedings contain 31 papers. the topics discussed include: cost-effective scheduling for Kubernetes in the edge-to-cloud continuum;energy-efficient OECT sensor data analysis on constrained edge devices;CLOUDFACTORY: an open toolkit to generate production-like workloads for cloud infrastructures;a reinforcement learning approach for performance-aware reduction in power consumption of data center compute nodes;protocol-independent context propagation for sharing microservices in multiple environments;towards serverless sky computing: an investigation on global workload distribution to mitigate carbon intensity, network latency, and cost;evaluation of data enrichment methods for distributed stream processing systems;and breaking the vicious circle: self-adaptive microservice circuit breaking and retry.
Localization is a hot topic in networking industry and falls into two categories: indoor localization and outdoor localization. Indoor localization takes place inside a building or other structure, whereas outdoor loc...
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Recently, a method for the automatic generation of driving sightseeing memorial route movies has been proposed by performing curation on videos captured by a dashcam. Existing methods curate videos by scoring video fr...
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ISBN:
(纸本)9783031346088;9783031346095
Recently, a method for the automatic generation of driving sightseeing memorial route movies has been proposed by performing curation on videos captured by a dashcam. Existing methods curate videos by scoring video frames with a single specific measure, however, it is hard to generate the appropriate memorial route movies due to the differences in important perspectives for different users. To solve this problem, we propose the method that represents "tourist spot likeness" with a combination of common measures derived by procedures used in the field of Affective Engineering and curates dashcam videos based on multiple measures. In this paper, we surveyed these representative words to identify the measures that compose the measure of "tourist spot likeness" and construct a model to estimate the score of each measure using dashcam video data as input. As the results of the experiment by using dashcam videos taken in Okinawa, we have derived six measures for curating the dashcam videos and confirmed the proposed models, which estimate each measure scored with a 7-level Likert scale achieved mean MAE of 0.64 (best: 0.52, worst: 0.73).
this research paper conducts an extensive examination and comparative analysis of various fog computing architectures. Delving into centralized, distributed, hierarchical, and specialized models, the study evaluates t...
this research paper conducts an extensive examination and comparative analysis of various fog computing architectures. Delving into centralized, distributed, hierarchical, and specialized models, the study evaluates their impact on resource allocation, communication efficiency, and overall system responsiveness. Additionally, it explores emerging paradigms such as SDN-enabled fog, blockchain integration, and hybrid cloud-fog architectures. the findings provide valuable insights for practitioners and researchers, facilitating informed decisions in adopting and optimizing fog computing technologies across diverse applications and industries. Further, the main objective of the paper is to examine and compare various fog computing architectures based on parameters such as: resource allocation, latency, scalability, cost, and many others.
the main components of a network production data storage system in distributed high-performance computing systems are defined. A hybrid method of organizing a data storage network is considered. A feature of distribut...
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ISBN:
(纸本)9783030941413;9783030941406
the main components of a network production data storage system in distributed high-performance computing systems are defined. A hybrid method of organizing a data storage network is considered. A feature of distributed data storage is the semantic distribution of data blocks. the interoperability of local data storage (LDS) and data export utilities is to transform the low-level organization of LDS data. When organizing a resource center, LDS plays the role of a DBMS, and the data export utility serves to organize data in a form suitable for processing by the main storage module. thus, the interoperability of local data stores and data export utilities implies the formalization of DBMS (LDS) data for their subsequent processing. the data of interaction of the storage system when accessing computing clusters is reduced to the form of a JSON file, divided into "entities", "actions" and "links".
the proceedings contain 26 papers. the special focus in this conference is on Mobile Networks and Management. the topics include: Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission;Relay-Assisted Tas...
ISBN:
(纸本)9783030947620
the proceedings contain 26 papers. the special focus in this conference is on Mobile Networks and Management. the topics include: Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission;Relay-Assisted Task Offloading Optimization for MEC-Enabled Internet of Vehicles;WiMTAR: A Contactless Multi-target Activity Recognition Model;WiBFall: A Device-Free Fall Detection Model for Bathroom;A Decentralized Scheduling Function for TSCH-Based Wireless Networks;Feature Detection Based Spectrum Sensing in NOMA System;A Scalable IoT Data Collection Method by Shared-Subscription withdistributed MQTT Brokers;A Fog-Based IOV for distributed Learning in Autonomous Vehicles;time-Based distributed Collaborative Filtering Recommendation Algorithm;DASH Live Video Streaming Control Using Actor-Critic Reinforcement Learning Method;a Novel Visual-Identification Based Forwarding Strategy for Vehicular Named Data networking;a Sleep Scheduling Algorithm with Limited Energy Collection in Energy Harvesting Wireless Sensor Networks;NOMA-Based Statistical Signal Transmission for Beyond 5G Communications;Fuzzy MP - A Fuzzy Digital Signature Scheme with Biometrics;a Fuzzy Logic Controller for Greenhouse Temperature Regulation System Based on Edge computing;moving Object Recognition for Airport Ground Surveillance Network;IOT Based Sensor Monitoring System for Smart Complex and Shopping Malls;Machine Learning Enhanced CPU-GPU Simulation Platform for 5G System;deep Reinforcement Learning-Based Resource Allocation for 5G Machine-Type Communication in Active Distribution Networks;appSense: Detecting Smartphone Usage via WiFi Signals;a distributed Computation Offloading Strategy for Edge computing Based on Deep Reinforcement Learning;How to Select SF and BW for 2.4 GHz LoRa Ad-Hoc Communication: From Energy Consumption Perspective;FSE-MV: Compressed Domain Video Information Assisted Hybrid Real-Time Vehicle Speed Estimation;WiMPP: An Indoor Multi-person Positioning Method Based on Wi-Fi Signal.
A social network shows the relations that exist between people or organizations and how they are connected through social familiarities. Huge amounts of data about users and their relationships with each other are sto...
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