Cognitive Computing – ICCC 2022: 6th International Conference Held as Part of the Services Conference Federation, SCF 2022 Honolulu, HI, USA, December 10–14, 2022 Proceedings

Description

This book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2022, held as part of SCF 2022 in December 2022. The conference was held in Honolulu, USA. The 6 full and 2 short papers presented in this volume were carefully reviewed and selected from 17 submissions. The papers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts. Preface Organization Services Society Services Conference Federation (SCF) Contents Research Track Path Planning for Mobile Robots Based on Improved Ant Colony Algorithm 1 Introduction 2 Original Ant Colony Algorithm 3 Improved Ant Colony Algorithm 3.1 Initial Pheromone Non-uniform Distribution Strategy 3.2 State Transfer Formula Improvement Strategy 3.3 Pheromone Update Strategy 3.4 Ant Colony and Genetic Algorithm Fusion Strategy 3.5 Piecewise B-Spline Curve Smoothing Strategy 4 The Execution Steps of the Improved Algorithm 5 Simulation Experiment and Analysis 5.1 20 × 20 Grid Map Simulation Experiments 5.2 30 × 30 Grid Map Simulation Experiments 5.3 Optimal Path Smoothing Experiment 6 Conclusion References Solving a Cloze Test for Generative Commonsense Question Answering 1 Introduction 2 Data Preparation 2.1 Dataset 2.2 Declarative Sentences Generation 3 Masked Token Prediction 3.1 BERT 3.2 T5 4 Experiments 4.1 Settings 4.2 Evaluation 4.3 Main Results 4.4 Ablation Study 5 Related Works 6 Conclusion References A Scheduled Mask Method for TextVQA 1 Introduction 2 Related Work 2.1 Text-Based Visual Question Answering 2.2 Teacher-Forcing and Exposure Bias 3 Method 3.1 Teacher-Forcing 3.2 Prediction Process 3.3 Scheduled Mask Strategy 4 Experiments 4.1 Datasets and Evaluation Metrics 4.2 Experiment Settings and Training Details 4.3 Comparison with State-of-the-Art 4.4 Ablation Study 5 Conclusion References Application Track A Coarse-to-Fine Text Matching Framework for Customer Service Question Answering 1 Introduction 2 Preliminary 2.1 Application Background 2.2 Problem Definition 3 Methodology 3.1 Coarse-to-Fine Framework 3.2 FastText 3.3 Roformer-sim 3.4 Model Optimization 4 Experiment 4.1 Datasets 4.2 Baselines 4.3 Experimental Settings 4.4 Evaluation Metrics 4.5 Performance 4.6 Ablation Analysis 4.7 Hyper-parameters Selection 5 Conclusion References Deep Learning-Based Visual Defect Inspection System for Pouch Battery Packs 1 Introduction 2 Hardware Design 3 Image Acquisition 4 Balancing the Bar Light Images 5 The Defect Detection Pipeline 6 Enhanced Segmentation Network: From GCN to ConvNext 7 Experimental Results 8 Conclusion References Variant Mixed Integer Linear Programming Model for Merchandises Optimization in Fast-Moving Consumer Goods Industry 1 Introduction 2 Merchandises Optimization Based on Variant Mixed Integer Linear Programming Model 2.1 Variant Mixed Integer Linear Programming Model 2.2 Business Process 2.3 Methodology 3 Experimental Result 3.1 Experimental Setup 3.2 Computational Results of the Total Sales 3.3 Discussion 4 Conclusion References Short Paper Track Automated Data Mapping Based on FastText and LSTM for Business Systems 1 Introduction 2 Related Work 3 Method 3.1 Learning Word Representation with FastText 3.2 Classify Mapping Data with LSTM 4 Experiments 4.1 Experimental Setup 4.2 Experimental Results. 5 Conclusion References MCPR: A Chinese Product Review Dataset for Multimodal Aspect-Based Sentiment Analysis 1 Introduction 2 Related Work 3 Dataset Design and Construction 3.1 Dataset Collection 3.2 Dataset Annotation 3.3 Dataset Description 3.4 Quality Assurance 4 Conclusion References Author Index