The proceedings contain 10 papers. The topics discussed include: QROSS: QUBO relaxation parameter optimization via learning solver surrogates;VPN-nonVPN traffic classification using deep reinforced naive bayes and fuz...
ISBN:
(纸本)9781665449328
The proceedings contain 10 papers. The topics discussed include: QROSS: QUBO relaxation parameter optimization via learning solver surrogates;VPN-nonVPN traffic classification using deep reinforced naive bayes and fuzzy k-means clustering;personalized federated learning by structured and unstructured pruning under data heterogeneity;effect-centric networking;joint offloading and resource allocation of UAV-assisted mobile edge computing with delay constraints;backup placement in WSNs in the network management distributed setting;AI-based robust convex relaxations for supporting diverse QoS in next-generation wireless systems;dynamic DNN decomposition for lossless synergistic inference;and joint offloading and resource allocation of UAV-assisted mobile edge computing with delay constraints.
The proceedings contain 31 papers. The special focus in this conference is on computing Science, Communication and Security. The topics include: Osmotic computing-Based Task Offloading: A Fuzzy Logic-Based Approach;Tr...
ISBN:
(纸本)9783031751691
The proceedings contain 31 papers. The special focus in this conference is on computing Science, Communication and Security. The topics include: Osmotic computing-Based Task Offloading: A Fuzzy Logic-Based Approach;Traveler’s Demand Reactive Dynamic Online Bus Routing [TraDeR-DOBR] to Improvize Comfort Perception in Intelligent Public Transport System;High-Speed FSO System for Future Generation Networks for Long Reach;Mitigating PAPR Challenges in Massive MIMO systems for CR-IoT Networks: A Graeco-Latin Square Approach;performance Analysis of IoT Network over 5G Communication;ioT-Based Convolutional Neural Networks in a Farm Pest Detection Using Transfer Learning;Performance Comparison of NOMA Vehicular Communications Under Shadow Fading;Detecting distributed Denial of Service (DDoS) Attacks in a Multi-controller SDN Environment Utilizing Machine Learning;Comprehensive Study of Short Channel Effects (SCEs) in MOSFET and FinFET Devices;A Machine Learning (ML)-Inspired Method for Intrusion Detection in IoT Devices Networks;an Anomaly—Misuse Hybrid System for Efficient Intrusion Detection in Clustered Wireless sensor Network Using Neural Network;detection and Prevention of Black Hole Attack and Sybil Attack in Vehicular Ad Hoc Networks;cognitive Ad Hoc Trust Routing for Enhanced Quality of Service;routing in IoT Network Using NetSim Simulator;A Novel Approach of SHA-3-512bits Using Keccak Technique Based on Sponge Function Implementation on FPGA;cooperative Spectrum Sensing in Cognitive Radio Network Using Adaptive Walruses Optimization Algorithm;Catalan’s Conjecture and Elliptic Curve Cryptography (CCECC) Algorithm for Enhancing Data Security During Data Transmission in MANET;monitoring the Concentration of Air Pollutants and Its Health Hazards Using Machine Learning Models;containment of Compromised Nodes in a distributed Environment;a Novel Approach to Solve Network Security, Cryptography Problems Using Genetic Algorithm.
The proceedings contain 68 papers. The topics discussed include: AnguLoc: concurrent angle of arrival estimation for indoor localization with UWB radios;social-aware energy balancing in mobile opportunistic networks;a...
ISBN:
(纸本)9781728143514
The proceedings contain 68 papers. The topics discussed include: AnguLoc: concurrent angle of arrival estimation for indoor localization with UWB radios;social-aware energy balancing in mobile opportunistic networks;an IoT based solar park health monitoring system for PID and hotspots effects;RIDER: proactive and reactive approach for urban traffic management in vehicular networks;privacy-preserving solutions in the industrial Internet of things;a gesture recognition approach to classifying allergic rhinitis gestures using wrist-worn devices - a multidisciplinary case study;improving the vehicular mobility analysis using time-varying graphs;and a SLIPT-assisted visible light communication scheme.
The proceedings contain 142 papers. The topics discussed include: distributed caching strategies in peer-to-peer systems;a power-aware based storage architecture for high performance computing;a distributed reconfigur...
ISBN:
(纸本)9780769545387
The proceedings contain 142 papers. The topics discussed include: distributed caching strategies in peer-to-peer systems;a power-aware based storage architecture for high performance computing;a distributed reconfigurable active SSD platform for data intensive applications;a parallel processing scheme for large-size sliding-window applications;algebraic models for the cube connected cycles and shuffle exchange graphs;a high-performance and energy-efficient virtually tagged stack cache architecture for multi-core environments;providing quality of science in volunteer computing;an effective dynamic scheduling runtime and tuning system for heterogeneous multi and many-core desktop platforms;on the social aspects of personalized ranking for web services;stable adaptive work-stealing for concurrent multi-core runtime systems;rule pattern parallelization of packet filters on multi-core environments;and memory-intensive applications on a many-core processor.
In this study, machine-learning technique is used to collect environmental data in real time and measures other aspects like soil moisture, temperature, water level, humidity. Water use efficiency has recently increas...
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ISBN:
(数字)9798331543358
ISBN:
(纸本)9798331543365
In this study, machine-learning technique is used to collect environmental data in real time and measures other aspects like soil moisture, temperature, water level, humidity. Water use efficiency has recently increased because to new agricultural techniques, sophisticated sensors as Micro Controller, and Wireless sensor Network (WSN). Irrigation Fault Detection method based on XGBoost (IFD-XGBoost) Algorithm used as proposed method as robust to missing values imputing them naturally during tree splitting. The Suggested method is optimized for speed, using parallel and distributedcomputing to make predictions faster compare to other Regression Algorithm and avoid over fitting. Using Min-Max Normalization, features with different sizes and units can affect the efficacy of several machine learning algorithms. By warping the statistical relationship between features, removal of noisy data and error detection can reduce the machine learning models' efficiency. Lasso Regression is a linear model that combines regularization and feature selection. Additionally, less data will be kept in the centralized cloud as a result. Using the IFD-XGBoost Algorithm's ability to handle missing data, learn from past errors, and adjust parameters, our proposed approach would be the best model to implement. It outperform from other algorithm in Predictive accuracy, making it reliable for calculating water needs and forecasting weather. Investigating the implementation of several machine learning models that can offer the best real-world irrigation decision management is the main goal of this article. The comparative analysis to evaluate the IFD-XGBoost method yielded a minimum RMSE of 0.3524, MAE of 0.1832, MAPE of 4.24 with the highest accuracy of 99.2%, precision of 96.2% and AUC-ROC of 95%, indicates when combined, these metrics provide insightful data about each model's ability to anticipate future developments in irrigation systems.
The proceedings contain 120 papers. The topics discussed include: quadratic-time algorithms for optimal min-max barrier coverage with mobile sensors on the plane;function delivery network: extending serverless to hete...
ISBN:
(纸本)9781665445139
The proceedings contain 120 papers. The topics discussed include: quadratic-time algorithms for optimal min-max barrier coverage with mobile sensors on the plane;function delivery network: extending serverless to heterogeneous computing;application monitoring as a network service;complexity-aware adaptive training and inference for edge-cloud distributed ai systems;bankrupting sybil despite churn;Occam: a secure and adaptive scaling scheme for permissionless blockchain;MVCom: scheduling most valuable committees for the large-scale sharded blockchain;joint order dispatch and repositioning for urban vehicle sharing systems via robust optimization;Dyconits: scaling minecraft-like services through dynamically managed inconsistency;PupilMeter: modeling user preference with time-series features of pupillary response;and on private data collection of hyperledger fabric.
The proceedings contain 70 papers. The topics discussed include: receiver consensus: on-time warning delivery for vehicular ad-hoc networks;v-bundle: flexible group resource offerings in clouds;dynamic control of elec...
The proceedings contain 70 papers. The topics discussed include: receiver consensus: on-time warning delivery for vehicular ad-hoc networks;v-bundle: flexible group resource offerings in clouds;dynamic control of electricity cost with power demand smoothing and peak shaving for distributed Internet data centers;towards optimal capacity segmentation with hybrid cloud pricing;dash: a novel search engine for database-generated dynamic web pages;when scalability meets consistency: genuine multiversion update-serializable partial data replication;clustering streaming graphs;neighbor knowledge of mobile nodes in a road network;local reasoning for global convergence of parameterized rings;the power of lights: synchronizing asynchronous robots using visible bits;ADAPT: availability-aware MapReduce data placement for non-dedicated distributedcomputing;and growing secure distributedsystems from a spore.
This research article provides a computational study of light interaction with two dimensional photonic crystal (PhC) structure. This PhC structure is used to measure ethanol percentage in liquid water by identifying ...
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ISBN:
(数字)9798331508456
ISBN:
(纸本)9798331508463
This research article provides a computational study of light interaction with two dimensional photonic crystal (PhC) structure. This PhC structure is used to measure ethanol percentage in liquid water by identifying and computing mid gap wavelength shift. Analysis of the Maxwell's equations that govern the photon behaviour in the periodic structure is discussed in detail for PhC structures. The photonic band gap (PBG) which prohibits the photon momentum in certain directions in the crystal is computed using plane wave expansion (PWE) method by deriving solutions to the eigenvalue equation. A two dimensional (2D) PhC structure is designed by taking 18 × 17 number of holes on a dielectric slab. This holes on the dielectric configuration is used to sense the ethanol level in liquid water. The PBG width for the design in transverse electric mode is [ωa/2πc] ranging from 0.3841 to 0.4428. The band gap size Δλ 480 nm and mid gap wavelength λ c = 2391.2 nm is achieved from the structure. The sensor achieves a sensitivity of 10645.24 nm/RIU and a transmission ratio more than 94%. This structure is a suitable candidate for ethanol sensing applications as it offers a wide bandgap for light propagation.
Home automation is growing rapidly in the Fourth Industrial Revolution (4IR), providing users with unwavering convenience and enhanced security. This paper presents a comprehensive Internet of Things (IoT) smart home ...
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The proceedings contain 317 papers. The topics discussed include: efficiently executing sparse matrix-matrix multiplication on general purpose digital single processor;matching using sufficient dimension reduction for...
ISBN:
(纸本)9798350319934
The proceedings contain 317 papers. The topics discussed include: efficiently executing sparse matrix-matrix multiplication on general purpose digital single processor;matching using sufficient dimension reduction for heterogeneity causal effect estimation;GPU parallelization and optimization of a combustion simulation application;dynamic semantic modeling of structural data sources;optimized computation for determinant of multivariate polynomial matrices on GPGPU;dual memory network for medical dialogue generation;evaluating BERT on cloud-edge time series forecasting and sentiment analysis via prompt learning;a practical adversarial attack on graph neural networks by attacking single node structure;three-channel graph convolutional network;image anomaly detection with semantic- enhanced augmentation and distributional kernel;and efficient electronic transaction query model for light nodes based on optimized blockchain structure.
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