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Experimental research on the colour interpolation algorithm of the full colour image 3

Experimental research on the colour interpolation algorithm ...

引用

3rd international conference on computers, Information Processing and Advanced Education, CIPAE 2022

作者： Tang, Haoran Wang, Zhuoyang Yang, Jianhui Zhou, Sichen Leeds College Southwest Jiaotong University Chengdu611756 China International College Macao University of Science and Technology China College of Computer and Engineering Tianshi College Tianjin301723 China Xi'An Jiaotong University Faculty of Electronic and Information Engineering Xi'an710049 China

ISBN: (纸本)9781665468121

With the rapid development of multimedia technology, images have become the main data form of people's daily communication and information expression. In order to ensure fast data transmission, much effort has been made to compress the three-channel color image into the 2D matrix and then recover the image from the 2D matrix through interpolation algorithms. However, there usually exists different degrees of edge blurring or noise generation when reconstructing images, which significantly affects the accuracy of reconstruction. More importantly, we find that different interpolation algorithms may have drastic performance differences when dealing with different scene images. All of these aspects inspire us to explore the application boundary of interpolation algorithms. In this paper, we compare the representative bilinear interpolation, cok interpolation and Hibbard interpolation from the degree of edge blurring, the amount of noise generated and the processing speed. With extensive experiments, both visual and quantitative analysis shows an interesting but meaningful result. Three algorithms obtain a similar accuracy for the image with a single color or simple lines, while the Hibbard algorithm could restore the most realistic image when the image structure is complex. © 2022 IEEE.

关键词： Image reconstruction

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4th international conference on Big Data and Security, ICBDS 2022

4th International Conference on Big Data and Security, ICBDS...

引用

4th international conference on Big Data and Security, ICBDS 2022

ISBN: (纸本)9789819932993

The proceedings contain 54 papers. The special focus in this conference is on Big Data and Security. The topics include: Research on the Evolution of New Energy Industry Financing Ecosystem Under the Background of Big Data;a Survey of the State-of-the-Art and Some Extensions of Recommender System Based on Big Data;an Innovative AdaBoost Process Using Flexible Soft Labels on Imbalanced Big Data;Feature Fusion Based IPSO-LSSVM Fault Diagnosis of On-Load Tap Changers;graphlet-Based Measure to Assess Institutional Research Teams;Logical Relationship Extraction of Multimodal South China Sea Big Data Using BERT and Knowledge Graph;research on Application of Knowledge Graph in War Archive Based on Big Data;Semi-supervised Learning Enabled Fault Analysis Method for Power Distribution network Based on LSTM Autoencoder and Attention Mechanism;fault Detection Method for Power Distribution network Based on Ensemble Learning;Research on Data-Driven AGC Instruction Execution Effect Recognition Method;factors Influencing Chinese Users’ Willingness to Pay for O2O Knowledge Products Based on Information Adoption Model;a Survey of Integrating Federated Learning with Smart Grids: Application Prospect, Privacy Preserving and Challenges Analysis;application of the Fusion Access technology of Carrier and 5G in Power Communication;Muscle Fatigue Classification Based on GA Optimization of BP Neural network;research on Typical Scenario Generation Based on Distribution network Data Mining and Improved Policy Clustering;a Data-Driven and Deep Learning-Based Economic Evaluation Method for New Power System Distribution Grid;study on Random Generation of Virtual Avatars Based on Big Data;an Explainable Optimization Method for Assembly Process Parameter.

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Research on multi-project resource conflict resolution method based on delay Petri-net 4

Research on multi-project resource conflict resolution metho...

引用

4th international conference on Advances in computer technology, Information Science and Communications, CTISC 2022

作者： Zhaoyang, Bai Tiantian, Lan Qiyang, Huang Lin, Xiong Shijian, Bao Dalian University of Technology The School of Economics and Management Dalian China China Industrial Internet Research Institute Beijing China China International Engineering Consulting Co. Ltd Beijing China

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

In view of the key resource conflict problems in multi-project management, this paper combines the delay Petri network with the actual operation process of enterprises, and establishes a resource conflict delay Petri network model for the description and analysis of the multi-project management *** on this model and combined with the project key chain, this paper proposes a multi-project resource conflict resolution ***, the local conflict resolution process of multi-project resources proved the effectiveness of the proposed method and provides reference for multi-project management. © 2022 IEEE.

关键词： Petri nets

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Human Abnormal Behavior Recognition Based on 3D Residual Convolutional network 10

Human Abnormal Behavior Recognition Based on 3D Residual Con...

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10th IEEE Joint international Information technology and Artificial Intelligence conference, ITAIC 2022

作者： Yan, Liqian Shaanxi Institute of International Trade&commerce Shaanxi China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

In order to ensure the safety of passengers in the elevator, this paper takes the abnormal behavior of passengers in the elevator car as the research object, and proposes an intelligent identification method for abnormal behavior of the elevator car based on 3D residual convolution network, which can improve the accuracy and speed of recognition with the abnormal behavior in the elevator car. This paper combines three-dimensional convolution and residual network, establishes a 3D residual convolution network model, and conducts in-depth research and design of each parameter to identify three abnormal behaviors of elevator cars, such as falling, robbery and fighting. The effects of different video frame input lengths, different parameter optimization functions and whether pre-training on the network recognition rate are compared and analyzed. The experimental results show that when the input video frame length is 16 frames, the Adam optimization function is used for optimization, and the pre-training method can achieve better recognition results. © 2022 IEEE.

关键词： Convolution

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How IoT-Enabled Smart Manufacturing Affect Firm Performance through internationalization: A Systematic Literature Review 6

How IoT-Enabled Smart Manufacturing Affect Firm Performance ...

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6th international conference on Information Systems and computer networks, ISCON 2023

作者： Putri, Aristia Utari Noerlina Mursitama, Tirta Nugraha Arnakim, Lili Yulyadi Bina Nusantara University Accounting and Information Systems Program Information Systems Study Program School of Information Systems Jakarta11480 Indonesia Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia Bina Nusantara University Faculty of Humanities International Relations Department Jakarta11480 Indonesia

ISBN: (纸本)9798350346961

Internet of Things is a global network infrastructure consisting of aspects of 'Things' that are connected to an information network and have identity, physical form, virtual personality, and intelligent appearance. In the implementation of smart manufacturing, IoT has become key enabling factor that help its optimalization. Smart manufacturing is a collection of manufacturing activities that use integrated information and communication technology in the process of managing manufacturing operations. The purpose of making this paper is to produce a systematic literature review that can help discuss and examine what Internet of Things is and how it is implemented in smart manufacturing, how IoT enabled smart manufacturing can support internationalization efforts, and the impact that internationalization efforts can have towards firm performance. The steps taken in making a systematic literature review include three main steps, namely SLR planning, process, and report. The report shows that implementation of smart manufacturing could help bring competitive advantage for firm and support internationalization effort that would affect firm's performance. The success of internationalization process has a varied impact on the company's performance according to various reference results, where there is a common concept, which is a decrease in performance at the beginning of the internationalization process due to the capital expansion costs required.. © 2023 IEEE.

关键词： Internet of things

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Low Light Enhancer: A Low Light Image Enhancement Model Based on U-Net using Smartphone

Low Light Enhancer: A Low Light Image Enhancement Model Base...

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2022 international conference on Innovations in Science, Engineering and technology, ICISET 2022

作者： Chowdhury, Tahia Binte Khaliluzzaman, Md. Uddin, Md. Jashim Khanam, Karnish Islam, Md. Monirul International Islamic University Chittagong Dept. of Computer Science and Engineering Chattogram4318 Bangladesh International Islamic University Chittagong Dept. of Electrical and Electronics Engineering Chattogram4318 Bangladesh

ISBN: (纸本)9781665483971

In this paper, we propose an improved way low light image-enhancing model for Smartphone devices by training a U-Net based fully convolutional neural network (CNN) with raw sensor images. We collected a new dataset captured via a Smartphone camera which is a set of low light images, corresponding long exposure images are captured for ground truth. Our primary goal is to train our model with different Smartphone camera devices having a Bayer filter with different image sensors. The second goal is to get noise-free images with minimum color distortion. © 2022 IEEE.

关键词： Image enhancement

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Synergizing Smart Home with Smart Parking using IOT 2

Synergizing Smart Home with Smart Parking using IOT

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2nd international conference on Artificial Intelligence and Smart Energy, ICAIS 2022

作者： Raj, Ankit Dubey, Manish Gugnani, Lakshita Gupta, Neha Manav Rachna International Institute of Research Studies Computer Applications Faridabad121002 India Faculty of Computer Applications Manav Rachna International Institute of Research Studies Faridabad121002 India

ISBN: (纸本)9781665400527

This paper demonstrates the design and implementation of a new home automation system that uses Wi-Fi technology as network architecture. The paper presents a proposed architecture of smart home along with smart parking is made up of two main components: The first category is the server (webserver), which contains the system context. Users and system administrators can manage and control system code locally (LAN) or remotely (Internet). The second component is a hardware interface module, which provides an optical interface for the home automation system and actuators. Unlike many other home automation systems available in the market, the system is scalable, which means that a single server can control many hardware interaction modules connected on a Wi-Fi network. A variety of flexible home devices, such as power management and safety components, are supported by the system. © 2022 IEEE.

关键词： Wi-Fi

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7th international conference on Human Centered Computing, HCC 2021

7th International Conference on Human Centered Computing, HC...

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7th international conference on Human Centered Computing, HCC 2021

ISBN: (纸本)9783031237409

The proceedings contain 27 papers. The special focus in this conference is on Human Centered Computing. The topics include: A Pedestrian Detection Method Based on Improved ResNet for Container Terminal;Detection of Advertising Users Based on K-SMOTE and Ensemble Learning;quantitative Relationship Between Achievement Motivation and Game Behavior Based on Structural Equation Model;dictionary-Based Classical Chinese Word Segmentation and Its Application on Imperial Edicts of Jin Dynasties;visualization Analysis of Hot Event Propagation Topic Map;Pilot Reuse Joint Partial APs in Cell-Free Massive MIMO System;multi-task Allocation Under Multiple Constraints in Mobile Crowdsensing;Optimization of Kalman Filter Indoor Positioning Method Fusing WiFi and PDR;Constructing an UAV network with Relative Positioning;a Combining Forecasting Method Based on Seasonal Unit Root Test and Support Vector Regression;Resource Allocation for Multi-service NOMA System Based on Deep Reinforcement Learning;5G Resource Sharing Scheme and Consensus Algorithm Based on Blockchain;5G Message Log Credit Management and Verification System Based on Blockchain;a Graph-Based Service Composition Method for Science and technology Resources;Optimization of Energy Transaction Strategy Between Microgrids Based on MADDPG;research on the Elements of Future Holographic Scene Design Based on Card Sorting-Fuzzy Comprehensive Evaluation Method;fault Diagnosis Method of Automatic Sorter Equipment Based on Association Rules;innovation Framework for Green Ports;Adaptive ICP Registration Algorithm Based on the Neighborhood of SIFT Feature Points;A PSO Based Multi-view Hierarchical Clustering Method;GCN-ARIMA Based Sales Demand Prediction;dynamic Adjustment of the Learning Rate Using Gradient;predicting Personalities of Ancient Chinese Emperors Based on Relational Knowledge Transfer Model.

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22nd international conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2021

22nd International Conference on Parallel and Distributed Co...

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22nd international conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2021

ISBN: (纸本)9783030967710

The proceedings contain 58 papers. The special focus in this conference is on Parallel and Distributed Computing, Applications and Technologies. The topics include: Traffic Matrix Prediction Based on Differential Privacy and LSTM;patient-Chain: Patient-centered Healthcare System a Blockchain-based technology in Dealing with Emergencies;federated Data Integration for Heterogeneous Partitions Based on Differential Privacy;multimodal Fusion Representation Learning Based on Differential Privacy;bayesian Optimization-Based Task Scheduling Algorithm on Heterogeneous System;MOFIT: An Efficient Access Control Scheme with Attribute Merging and Outsourcing Capability for Fog-Enhanced IoT;enhanced Discriminant Local Direction Pattern Learning for Robust Palmprint Identification;jointly Super Resolution and Degradation Learning on Unpaired Real-World Images;roman Amphitheater Classification Using Convolutional Neural network and Data Augmentation;Multi-zone Residential HVAC Control with Satisfying Occupants’ Thermal Comfort Requirements and Saving Energy via Reinforcement Learning;Evaluating the Performance and Conformance of a SYCL Implementation for SX-Aurora TSUBASA;distributed Fair k-Center Clustering Problems with Outliers;MACSQ: Massively Accelerated DeepQ Learning on GPUs Using On-the-fly State Construction;optimizing Data Locality by Executor Allocation in Reduce Stage for Spark Framework;low Latency Execution Guarantee Under Uncertainty in Serverless Platforms;an Effective and Reliable Cross-Blockchain Data Migration Approach;A MVCC Approach to Parallelizing Interoperability of Consortium Blockchain;realtime Physics Simulation of Large Virtual Space with Docker Containers;temperature Matrix-Based Data Placement Using Improved Hungarian Algorithm in Edge Computing Environments;FastDCF: A Partial Index Based Distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories;matching Program Implementations and Heterogeneous Computing System

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ROBOT INTENT RECOGNITION METHOD BASED ON STATE GRID BUSINESS OFFICE conference SUBMISSIONS 10

ROBOT INTENT RECOGNITION METHOD BASED ON STATE GRID BUSINESS...

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10th international conference on Learning Representations, ICLR 2022

作者： Anonymous

Artificial intelligence is currently in an era of change, not only changing the artificial intelligence technology itself, but also changing human society. It has become more and more common to use artificial intelligence as the core human-computer interaction technology to replace manpower. Intention recognition is an important part of the human-machine dialogue system, and deep learning technology is gradually being applied to the task of intent recognition. However, intent recognition based on deep learning often has problems such as low recognition accuracy and slow recognition speed. In response to these problems, this paper designs a BERT fine-tuning to improve the network structure based on the pre-training model and proposes new continuous pre-training goals. To improve the accuracy of intent recognition, a method based on multi-teacher model compression is proposed to compress the pre-training model, which reduces the time consumption of model inference. © 2022 ICLR 2022 - 10th international conference on Learning Representationss. All rights reserved.

关键词： Human computer interaction

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