Parallel Architectures, Algorithms and Programming 11th International Symposium, PAAP 2020, Shenzhen, China, December 28-30, 2020, Proceedings

• Main Authors: Ning, Li, Chau, Vincent, Lau, Francis
• Format: eBook
• Language: English
• Published: Netherlands Springer Nature 2021; Springer
• Edition: 1
• Subjects: Data processing Computer science; Parallel programming (Computer science)-Congresses

Table of Contents:

• 3.1 Task Formulation -- 3.2 BERT-CoQAC -- 4 Experimental Setup -- 4.1 The Dataset -- 4.2 Model Training -- 4.3 Comparison Systems -- 4.4 Hyper-Parameter Settings -- 4.5 Evaluation Metrics -- 5 Evaluation Results -- 6 Conclusion and Future Work -- References -- Streaming Algorithms for Monotone DR-Submodular Maximization Under a Knapsack Constraint on the Integer Lattice -- 1 Introduction -- 2 Preliminaries -- 3 Streaming Algorithm for DR-Submodular Maximization -- 3.1 A Streaming Algorithm with Known Optimal Value -- 3.2 Streaming Algorithm for DR-Submodular Maximization -- 4 Conclusions -- References -- NASIL: Neural Network Architecture Searching for Incremental Learning in Image Classification -- 1 Related Works -- 2 Methodology -- 3 Neural Network Architecture Search for Incremental Learning -- 3.1 Incremental Neural Network Architecture Search -- 4 Experiments -- 4.1 Overall Performance of NASIL -- 4.2 Searched Network Architecture -- 4.3 Quantified NAS -- 5 Conclusion -- References -- Nonsubmodular Maximization with Knapsack Constraint via Multilinear Extension -- 1 Introduction -- 1.1 Background -- 1.2 Our Techniques -- 2 Preliminaries -- 2.1 Notations -- 2.2 The Multilinear Extension -- 2.3 Submodularity Ratio and Curvature -- 3 Solving the Multilinear Relaxation -- 3.1 Arrange Small Elements -- 3.2 Continuous Greedy Algorithm -- 4 Rounding by the CR Scheme -- 5 The Whole Procedure -- References -- FEENET: A Real-Time Semantic Segmentation via Feature Extraction and Enhancement -- 1 Introduction -- 2 Relate Work -- 2.1 Real-Time Semantic Segmentation -- 2.2 Feature Fusion -- 2.3 Feature Enhancement -- 2.4 Light-Weight Architectures -- 3 The Proposed Method -- 3.1 Feature Enhancement Module -- 3.2 Spatial Path and Context Path -- 3.3 Feature Extraction and Fusion Module -- 4 Experiments -- 4.1 Datasets and Settings -- 4.2 Ablation Studies
• 4.3 Comparison with State-of-the-Art Works -- 4.4 Comparison on Other Datasets -- 5 Conclusion -- References -- Parallel Reconstruction for High Resolution Multi-frame Solar Speckle Images -- Abstract -- 1 Introduction -- 2 Calculation of Multi-frame Blind Restoration Model -- 2.1 Single Frame Blind Restoration Model -- 2.2 Multi-frame Blind Restoration Model -- 2.3 Calculation of Regularization Parameters -- 3 Parallel Implementation of Multi-frame Block Reconstruction -- 4 Conclusions -- References -- Analysing and Forecasting Electricity Demand and Price Using Deep Learning Model During the COVID-19 Pandemic -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Theoretical Background -- 3.1 Long Short Term Memory (LSTM) Network -- 3.2 Sequence-To-Sequence Network -- 3.3 Forecasting Model Description -- 4 Dataset and Data Preprocessing -- 5 Impact on Electricity Demand and Price During COVID-19 -- 6 Forecasting Model Results and Discussion -- 7 Conclusion -- References -- Cross-database Micro Expression Recognition Based on Apex Frame Optical Flow and Multi-head Self-attention -- 1 Introduction -- 2 Related Work -- 2.1 Micro-expression Recognition Based on Apex Frame Optical Flow -- 2.2 Micro-expression Recognition Based on Deep Learning -- 2.3 Cross-Database Micro Expression Recognition -- 3 The Proposed Method -- 3.1 Preprocessing -- 3.2 Optical Flow Calculation -- 3.3 Muti-head Self-attention Enhanced CNN -- 4 Experiment -- 4.1 Database -- 4.2 Performance Metric -- 4.3 Apex Frame Images -- 4.4 Experiments Settings -- 4.5 Analysis and Discussion -- 5 Conclusion -- References -- GPS Intelligent Solution of Aerial Image Target in State Grid EIA Survey -- Abstract -- 1 Introduction -- 2 Aerial Photography Platform -- 3 Algorithm -- 3.1 Calculation of Image Center Point -- 3.2 Calculation of Corner Coordinates
• 3.3 Calculation of Coordinate Points of Arbitrary Image Position' -- 4 Experimental Results -- 5 Inclusion -- Acknowledgements -- References -- Encryption and Decryption in Conic Curves Cryptosystem Over Finite Field GF(2n) Using Tile Self-assembly -- 1 Introduction -- 2 Encryption and Decrption in Conic Curves Cryptosystem over Finite Field GF(2n) -- 3 Analysis of the Encryption and Decryption Process -- 4 Model of Decryption in Conic Curves Cryptosystem over Finite Field GF(2n) -- 4.1 Sub-model to Compute Point-Multiplication and Transfer Parameter -- 4.2 Sub-model to Compute Point-Addition -- 4.3 Sub-model to Compute Negative Point -- 4.4 Seed Configuration of the Model of Decryption -- 5 Conclusions -- References -- Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias -- 1 Introduction -- 2 Methods -- 2.1 Using a Fixed Embedding -- 2.2 Spin Reversal -- 2.3 Anneal Offsets -- 2.4 Bias Distribution on Physical Qubits -- 2.5 Formulations of the NP-hard Problems Studied -- 2.6 Differential Evolution Optimization -- 3 Experimental Analysis -- 4 Discussion -- References -- A Behavioural Network Traffic Novelty Detection for the Internet of Things Infrastructures -- 1 Introduction -- 2 Related Work -- 3 The Threat Model -- 4 BND-IoT System -- 4.1 BND-IoT Architecture -- 4.2 Feature Extraction -- 4.3 Classification Network -- 5 Implementations and Results -- 5.1 DataSet -- 5.2 Experimental Setup -- 5.3 Preliminary Results -- 6 Discussions -- 7 Conclusion and Future Work -- References -- A Fast Algorithm for Image Segmentation Based on Global Cosine Fitting Energy Model -- Abstract -- 1 Introduction -- 2 Related Model -- 3 Fast Algorithm to Minimize the Global Cosine Fitting Energy Model -- 4 Experiments -- 5 Conclusion -- Acknowledgements -- References
• Household Garbage Classification: A Transfer Learning Based Method and a Benchmark -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Materials and Method -- 3.1 Review of the CNNs -- 3.2 Transfer Learning -- 3.3 The Fine-Tuning Stage -- 3.4 Benchmark -- 4 Experiments and Results -- 5 Conclusions and Future Work -- Acknowledgements -- References -- Lightweight Neural Network Based Garbage Image Classification Using a Deep Mutual Learning -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Innovation -- 4 Experimental Dataset and Preprocessing -- 4.1 Dataset Architecture -- 4.2 Dataset Preprocessing and Data Enhancement -- 5 Garbage Classification Model Architecture -- 5.1 MobileNetV2 Model Architecture -- 5.2 The Experimental Model Architecture -- 6 Experimental Results and Analysis -- 6.1 Experimental Environment and Parameter Settings -- 6.2 Experimental Results -- 7 Conclusion -- Acknowledgements -- References -- VBSSR: Variable Bitrate Encoded Video Streaming with Super-Resolution on HPC Education Platform -- 1 Introduction -- 2 Related Work -- 3 System Model and Problem Formulation -- 3.1 System Overview -- 3.2 Content-Aware Super-Resolution -- 3.3 Problem Formulation -- 4 DRL-Based Algorithm Design -- 4.1 Key Elements of DRL Model -- 4.2 Policy and Training Algorithm -- 5 Performance Evaluation -- 5.1 Experiment Settings -- 5.2 Performance Comparison -- 6 Conclusion -- References -- An Investigation on the Performance of Highly Congested Home WiFi Networks During the COVID-19 Pandemic -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Experimental Methodology -- 3.1 802.11ac Tests -- 3.2 802.11n Tests -- 4 Results and Analysis -- 4.1 Baseline Test: Saturation Throughput -- 4.2 Bulk Data Transfer -- 4.3 Video Gaming -- 4.4 Video Streaming -- 4.5 Audio Conferencing -- 5 Conclusion -- References
• Using Feed-Forward Network for Fast Arbitrary Style Transfer with Contextual Loss
• Intro -- Preface -- Organization -- Contents -- Restoring Survivable Spanning Tree: An Alternative Algorithm -- 1 Introduction -- 2 Previous Algorithm -- 3 Definitions and Problem Formulation -- 4 The SLMS Algorithm -- 5 Simulation Results -- 5.1 Simulation Setup -- 5.2 Recovery Time -- 5.3 Survivability -- 6 Conclusion -- References -- On the Decycling Problem in a Torus -- 1 Introduction -- 2 Preliminaries -- 3 The Case of a T(1, k) -- 4 The Case of a T(2, k) -- 4.1 Special Cases -- 4.2 General Case -- 5 Evaluation -- 5.1 Cardinalities and Time Complexity -- 5.2 Main Result -- 5.3 Comparison with the Lower Bound -- 6 Concluding Remarks -- References -- Deep Learning Optimization for Many-Core Virtual Platforms -- 1 Introduction -- 2 Background Knowledge -- 2.1 HXDSP Architecture -- 2.2 Deep Learning Model -- 2.3 Meta-learning -- 3 Realization and Optimization -- 3.1 The Overall Architecture of the HXDSP Virtual Platform -- 3.2 MPIRIO Parallel Communication Interface -- 3.3 Model Acceleration Based on Virtual Platform -- 3.4 Meta-learning Based on Virtual Platform -- 4 Experimental and Analysis -- 4.1 HXDSP Virtual Platform Test -- 4.2 MPIRIO Parallel Communication Interface Test -- 4.3 Convolution Operation Acceleration Test -- 4.4 Meta-learning Optimization Mechanism Test -- 5 Future Work -- 6 Conclusions -- References -- Development of Low-Cost Indoor Positioning Using Mobile-UWB-Anchor-Configuration Approach -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Indoor Positioning Algorithm -- 2.2 Indoor Positioning Technology -- 3 Mobile-UWB-Anchor-Network Configuration Approach -- 4 Experiment -- 4.1 Experiment Hardware -- 4.2 Experimental Results -- 5 Conclusion and Future Work -- References -- BERT-CoQAC: BERT-Based Conversational Question Answering in Context -- 1 Introduction -- 2 Related Work -- 3 Methodology