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Duo Satellite Based Surface Temperature Comparative Study of Jaipur City Using Soft computing 11

Duo Satellite Based Surface Temperature Comparative Study of...

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11th international conference on Internet of Everything, Microwave Engineering, Communication and Networks, IEMECON 2023

作者： Chauhan, Shivam Jethoo, Ajay Singh Das, Umesh Kumar University of Engineering and Management Department of Civil Engineering Jaipur India Malaviya National Institute of Technology Jaipur Jaipur India

ISBN: (纸本)9781665475129

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 activity. As an input dependent variable TDLST and TNLST was fed to BPNN and showcased the regression of independent variable ADLST and ANLST by keeping constant initial weight, bias and test and training sets. In day-day LST model R2 values for training and testing are 0.9827 and 0.9012 and in night-night LST model R2 values for training and testing are 0.9812 and 0.9270 respectively. Model prediction results showed model ability to predict reliable results when compared with the collected data. © 2023 IEEE.

关键词： Remote sensing

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Economic Order Quantity Method for a Virtual VM distributed System 11

Economic Order Quantity Method for a Virtual VM Distributed ...

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11th international conference on System Modeling and Advancement in Research Trends, SMART 2022

作者： Tajpal Abrol, Monika Chandigarh School of Business Department of Master of Computer Application Jhanjeri India Sanskriti University Department of Applied Science Uttar Pradesh Mathura India

ISBN: (纸本)9781665487320

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 service. It emphasizes the congestion control mechanism as well. the suggested approach would use system dynamics to automatically migrate each computing infrastructure nodes and enhance its speed. © 2022 IEEE.

关键词： Grid computing

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Identification of Vibration Superimposed Motion of a System with distributed Parameters 11

Identification of Vibration Superimposed Motion of a System ...

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11th Vienna international conference on Mathematical Modelling (MAthMOD)

作者： Heining, A. Sawodny, O. . Inst Syst Dynam D-70563 Stuttgart Germany

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/)

关键词： Mechatronic systems Vibration and modal analysis Continuous time system Linear time-invariant systems Model order reduction

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Proceedings - 2023 IEEE international conference on Cloud Engineering, IC2E 2023

Proceedings - 2023 IEEE International Conference on Cloud En...

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11th IEEE international conference on Cloud Engineering, IC2E 2023

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.

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BiLSTM Based on Indoor Localization by Using Smartphones and Wi-Fi with RSSI Values 11th

BiLSTM Based on Indoor Localization by Using Smartphones and...

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11th EAI international conference on Advancement of Science and Technology, ICAST 2023

作者： Demelash, Biruh Andualem Munaye, Yirga Yayeh Kebie, Belayneh Teshome ICT4D Research Center Faculty of Computing Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia College of Engineering and Technology Injibara University Injibara Ethiopia ICT4D Research Center Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia

ISBN: (纸本)9783031641503

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 localization takes place outside a wall or building. the most common example of outdoor localization is GPS, but it is ineffective for indoor localization due to obstructions like walls in a house. Although there are many studies on indoor localization, they still lack to consider the presence of human body and other obstructing factors causing drop of localization accuracy. therefore, this paper focuses on investigating indoor localization along with the presence of human body and a number of transmitters. this study concentrates on creating the best accurate model to predict the location of smartphones in the indoor environment. the dataset has been collected from the receiving signal strength using three different brands of smartphones, namely, Itel, Tecno, and Infinix, since there is a slight difference in terms of signal receiving capacity. then, we ran successive experiments with DT, KNN, and SVM in comparison with a recurrent algorithm (BiLSTM). From the experiments, we observed that BiLSTM outperformed DT, KNN, and SVM with prediction accuracy of 78%. From our experimental results, we concluded that BiLSTM is best suited for indoor localization. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Smartphones

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Dashcam Video Curation for Generating Memorial Movies on Tourism Using Multiple Measures of "Tourist Spot Likeness" 11th

Dashcam Video Curation for Generating Memorial Movies on Tou...

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11th international conference on distributed, Ambient and Pervasive Interactions (DAPI) part of the 25th international conference on Human-Computer Interaction (HCI)

作者： Kawanaka, Masaki Matsuda, Yuki Suwa, Hirohiko Yasumoto, Keiichi Nara Inst Sci & Technol Nara 6300101 Japan RIKEN Ctr Adv Intelligence Project AIP Tokyo 1030027 Japan

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).

关键词： Affective Engineering Civic and Urban computing Human-Centered Artificial Intelligence Location-based Services Smart Tourism Video Curation Dashcam

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Navigating the Fog: A Comprehensive Survey and Comparative Analysis of Fog computing Architectures

Navigating the Fog: A Comprehensive Survey and Comparative A...

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international conference on computing for Sustainable Global Development (INDIACom)

作者： Sukhvinder Singh Bamber Naveen Dogra Satish Kumar Alhawat Jaspreet Kaur Jaswal Amandeep Kaur Sekhon Department of CSE UIET Panjab University SSG Regional Center Hoshiarpur Punjab India

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.

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Implementation of a Network-Centric Production Storage System in distributed High-Performance computing Systems 11th

Implementation of a Network-Centric Production Storage Syste...

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11th international conference on High-Performance computing Systems and Technologies in Scientific Research, Automation of Control and Production (HPCST)

作者： Bashlykova, Anna MIREA Russian Technol Univ Vernadsky Ave 78 Moscow 119454 Russia Russian Acad Sci VA Kotelnikov Inst Radio Engn & Elect Mokhovaya St 11-7 Moscow 125009 Russia

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".

关键词： High-performance environment distributed computing environment Information management systems (IMS) distributed data storage Network-centric production system

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11th EAI international conference on Mobile Networks and Management, MONAMI 2021

11th EAI International Conference on Mobile Networks and Man...

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11th EAI international conference on Mobile Networks and Management, MONAMI 2021

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 with distributed 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.

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Tools for Social Network Analysis and Mining 11

Tools for Social Network Analysis and Mining

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11th international conference on System Modeling and Advancement in Research Trends, SMART 2022

作者： Chaudhary, Alka Jain, Nishank Kumar, Anil Amity Institute of Information Technology Amity University Uttar Pradesh Noida India School of Computing DIT University Dehradun India

ISBN: (纸本)9781665487320

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 stored on social networking sites. Because this data is too large, messy, and unstructured., it must be mined in order to retrieve usable information. Many tools and approaches for social network analysis and mining exist to understand various network properties and analyse the results visually or statistically. this paper presents the overview of social networks analysis approaches. It also gives a brief overview of few tools and popular languages for social network analysis. © 2022 IEEE.

关键词： SNA Social Network Analysis Social Network Tools Social Networks

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