the proceedings contain 227 papers. the special focus in this conference is on Natural Computation, Fuzzy systems and Knowledge Discovery. the topics include: New Passive Collision Force Suppression Mechanism for Huma...
ISBN:
(纸本)9783030325909
the proceedings contain 227 papers. the special focus in this conference is on Natural Computation, Fuzzy systems and Knowledge Discovery. the topics include: New Passive Collision Force Suppression Mechanism for Human-Friendly Robot;User Behavior Tracking for Education Assisting System by Using an RGB-D sensor;distributed Network Data Security Protection for SG-eIoT;Resource Bottleneck Analysis of the Blockchain Based on Tron’s TPS;ontology-Based computing of Sentence Similarity;arm Model and Puncture Training System in Hemodialysis;Construction of the HMM Intelligent Recommendation Model and Its Application in the Film Ticketing System;research on Web Service Clustering Method Based on Word Embedding and Topic Model;an Adaptive Multi-sensor Data Consistency Algorithm Based on Node Credibility;analysis of Big Data of an Online Community Based on Artificial Intelligence;clustering Optimization and Evaluation of Campus Network User Behavior Analysis System;Analysis and Solution of RFID Tag Information Based on Security Technology;multicriteria Decision-Making Problems Under Uncertainty and their Solution;the Strategy of Constructing an Interdisciplinary Knowledge Center;retinal Image Segmentation Based on Texture Features;a Method of Intention Discovery Based on Scientific Collaboration Information;contextual Analysis of Transactional Data;estimation of Soil Organic Matter Content Based on Regional Feature Bands;Detection and Analysis of Surface Characteristics of Debris Flow Gully Landslide Based on TLS Technology;A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT;practice of Document Information Knowledge Service Oriented to Metrology Research Innovation;minkowski Metric Based Soft Subspace Clustering with Different Minkowski Exponent and Feature Weight Exponent;comparative Studies of Robot Navigation.
At present, most poultry environmental control systems are designed for specific needs, and some users with large farming scale can only manage each breeding place separately, causing some problems as complication and...
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ISBN:
(纸本)9781728129808
At present, most poultry environmental control systems are designed for specific needs, and some users with large farming scale can only manage each breeding place separately, causing some problems as complication and difficulty in analyzing and utilizing information. In order to solve these problems, we have designed and developed a master-slave distributed large-scale poultry farming measurement and control system, with a network model adopting a total star-shaped structure, a cloud service monitoring center manages multiple lower-machine monitoring sub-stations. Each sub-machine monitoring sub-station completes their respective tasks according to different need. the experiment proves that the system network have good connectivity of the nodes and strong control, which can quickly collect the environmental information of the subordinate station monitoring substation. the system network can also carry out the edge network calculation and processing analysis on the data from the poultry house environment through the sensor to reduce the time delay. therefore, the system can reasonably control the poultry house environment and make it in a state of dynamic balance. It overcomes the problem of insufficient control force, eliminates the hidden danger in manual management, expands the control scope, and improves the automatic control ability of poultry house environment.
Concerns regarding Coronavirus disease 2019 (COVID-19) disparities among the vulnerable populations have been studied widely and extend to vaccine allocation. Withthe current status of the pandemic, emergence of new ...
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ISBN:
(数字)9781665495127
ISBN:
(纸本)9781665495134
Concerns regarding Coronavirus disease 2019 (COVID-19) disparities among the vulnerable populations have been studied widely and extend to vaccine allocation. Withthe current status of the pandemic, emergence of new variants, and recommendations toward the administration of third and fourth booster shots, understanding the population-level vaccine coverage status is critical for achieving equity in public health outcomes. In a previous population-level study focused on California counties, using the data from U.S. Census Bureau, Agency for Toxic Substances and Disease Registry (ATSDR), California Health & Human Services Agency (CHHS), and Centers for Disease Control and Prevention (CDC), we investigated the scope of vaccine inequity. In this research, we modeled the trends of vaccination using the Social Vulnerability Index (SVI) and its four components, including "socioeconomic status," "household composition and disability," "minority status and language," and "housing type and transportation." Growth velocity and anticipated maximum proportion of the vaccinated population were modeled based on 9228 data points of daily vaccination numbers from December 15, 2020, to May 23, 2021, SVI, and its four themes. We reported that although vaccination coverage was significantly lower in high vulnerability counties, they are estimated to achieve a higher proportion of vaccinated individuals eventually, particularly based on SVI theme 3, while predicting that disparities in vaccination rates decrease over time.
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