Online interactions,especially user generated contents on social events,reveal a variety of communicative purposes ranging from expressing feelings to proposing *** intents in users' online interactive behavior fr...
详细信息
ISBN:
(纸本)9781509036202
Online interactions,especially user generated contents on social events,reveal a variety of communicative purposes ranging from expressing feelings to proposing *** intents in users' online interactive behavior from massive social media data can effectively identify users' motives and intents behind communication and provide important information to aid monitoring,analysis and decision making for a variety of ***,user intents recognition from online communication is inherently challenging due to the ambiguity in semantic processing and diversity of syntax ***,the massive online data are usually unlabeled,which greatly hinders the usage of typical machine learning based methods that can automate the recognition *** this paper,we tackle this problem by proposing a Speech Act Theory guided classification scheme,which regards online communication as performative actions of users and classifies user utterances according to their pragmatic *** the basis of this,we construct a dictionary of performative words,expand it using external knowledge sources and refine it by word embedding and similarity *** then use this dictionary to automatically label the online textual data with *** a large amount of the labeled data,we train feature based classifiers to identify user intents in their online *** experimental study using a microblog dataset on social events from Sina Weibo shows the effectiveness of our proposed method.
In the recent years, the development of generative models has stimulated the health care progress, specially medical image generation. The synthetic medical images can be applied to several fields and have many utiliz...
详细信息
The article discusses the development of a flexible computer system that allows the management staff of an international distributed enterprise for the production of multi-grade polymer films to create an optimal prod...
详细信息
Industrial dust blower is the key equipment for gas and dust discharge in industrial enterprises. This paper established the dynamics model of industrial dust blower rotor system by using the finite element method and...
详细信息
ISBN:
(纸本)9781315685892;9781138028005
Industrial dust blower is the key equipment for gas and dust discharge in industrial enterprises. This paper established the dynamics model of industrial dust blower rotor system by using the finite element method and modal analysis theory. The factors causing the mildly unbalanced rotor were analyzed, and the mathematical model of the rotor system under complex conditions was presented. Based on it, the computer simulation model of mildly unbalanced rotor system was established, which provides the reliable basis for sensor arrangement and rotor structure optimization.
Although opinion mining solutions with good performance exist for English, it is much more difficult to develop an effective solution for other languages. Moreover, even in English the results deteriorate strongly if ...
详细信息
The focus of existing researches on RBAC constraints has been predominantly on the specification of constraints, the detection and resolution of constraint conflicts have been overlooked and remain a significant resea...
详细信息
The proceedings contain 46 papers. The special focus in this conference is on computer System Information technology and Electrical Engineering. The topics include: The Effect of Photovoltaic Plant Integration on Powe...
ISBN:
(纸本)9798350343069
The proceedings contain 46 papers. The special focus in this conference is on computer System Information technology and Electrical Engineering. The topics include: The Effect of Photovoltaic Plant Integration on Power Flow Based on The Newton Raphson Method on The Krueng Raya Feeder;designing a Microcontroller-Based Sumo Robot with Analysis of Thrust Parameters;blockchain Research in Indonesia: A Bibliometric Analysis;improvement of User Satisfaction in Educational Core Data Transactions using A Service Quality Model Analysis;harmonics Step Filter control Model In Household Electricity;development of Intraoral Clinical Image Dataset for Deep Learning Caries Detection;content based Image Retrieval using Fine-tuned Deep Features with Transfer Learning;forensic Analysis of Car Accident Using MobileNet and Optical Flow;Pseudo-LiDAR Meets Agriculture: Leveraging 3D Monocular Point Cloud Processing for Coffee Beans;impact of Image Enhancement for Osteoporosis Detection Based on Deep Learning Algorithm;Implementation of Faster R-CNN with Colour and Blur Augmentation For Differentiate Cloves From Debris;a Real-Time Application for Rail Surface Defect Inspection Utilizing Rectangular-Shaped Labels;Real-Time Object Detection Performance of YOLOv8 Models for Self-Driving Cars in a Mixed Traffic Environment;Hybridization Solution of Electrical Energy Demand Response and Forecasting Program by Using PSO-LSSVM Technique;IP-to-ndN Integration with Socket Translation Gateway;SASSD: A Smart Assessment System For Sector Damage Post-Natural Disaster Using Artificial Neural Networks;Comparative Analysis of Lightweight Pre-Trained CNN Models for Coffee Bean Roasting Level Identification;utilizing Different Predictive Methods to Optimize Hyperledger Fabric Instance;Evaluation of CyPACH: A Cyber Privacy Advisor Chatbot.
Human pose estimation is one of the important challenges in computer vision tasks. In the past three years, various algorithms for pose estimation have emerged one after another and have achieved good results. However...
详细信息
ISBN:
(纸本)9781728108315
Human pose estimation is one of the important challenges in computer vision tasks. In the past three years, various algorithms for pose estimation have emerged one after another and have achieved good results. However, from time to time, there are some keypoints that cannot be accurately predicted due to the ambiguity in images. To address such problems, we make corresponding improvements on RMPE multi-person pose estimator. On the one hand, we introduce a channel-attention mechanism to enhance the predictive ability of heat map on keypoints. On the other hand, we design a geometry constraint strategy during the test phase to control the way of keypoint connection which can compensate insufficient network functions and training samples. We carry out experiments on a standard benchmark for multi-person pose estimation, and the results prove that the proposed method can more effectively distinguish ambiguous keypoints and estimate poses.
This paper describes the main work of network appliance controller development based on power line carrier communication technology. Design of power line distributed system architecture. Development of a safe preventi...
详细信息
The trajectory tracking control of a quad-rotor UAV is discussed in this paper. Firstly, establish the system model by the Eula-Lagrange method. Decompound the system as the position and attitude subsystem, respective...
详细信息
暂无评论