Study of pressure shock characteristics of pump-controlled hydraulic steering system

Owing to the complex working conditions, large load changes and inertia of variable pump, pressure shock seriously lowers the efficiency, stability and accuracy of pump-controlled hydraulic steering system. To study the pressure shock characteristics, a physical model of pump-controlled hydraulic steering system was deduced first, and the system dynamic characteristics were simulated by MATLAB/SIMULINK; then the AMESim model was also established to analyze the shock pressure further. By comparison with the simulation results in SIMULINK, the validity of AMESim model is verified. Based on AMESim model, the influence of the navigation speed, spring stiffness of feedback mechanism and rudder angular velocity to the shock characteristics were analyzed specially. According to the results, the design and control methods to reduce hydraulic shock are obtained, which provide a theoretical basis for improving the characteristics of pump-controlled rudder

Web Application Framework in Erasmus

This thesis introduces a new framework in Erasmus which is specially designed for web application. Erasmus, as a typical process oriented language, developed by Peter Grogono at Concordia University, Canada and Brian Shearing at The Software Factory, UK, is based on communicating processes. Erasmus can easily and clearly depict multi-process scenarios based on new concepts: protocol, port, cell and processes. In this thesis, we gave detail of the language Erasmus and explained the new concepts: Cell, Process, Protocol and Port which is introduced by Erasmus. Then, we introduced the Broker which is a proxy to communicate between the processes on different machines and listen for HTTP requests. Next, we depicted the architecture and the resource management of the Erasmus Web application including database access and dynamic process creating. At the end, we gave an example of a simple web application with simple Erasmus language and with an Erasmus MVC framework. As a conclusion, Erasmus is a potential excellent Web development language which can improves the performance of the web services and also helps developers to be more productive in developing web applications

Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation

Translating images from a source domain to a target domain for learning target models is one of the most common strategies in domain adaptive semantic segmentation (DASS). However, existing methods still struggle to preserve semantically-consistent local details between the original and translated images. In this work, we present an innovative approach that addresses this challenge by using source-domain labels as explicit guidance during image translation. Concretely, we formulate cross-domain image translation as a denoising diffusion process and utilize a novel Semantic Gradient Guidance (SGG) method to constrain the translation process, conditioning it on the pixel-wise source labels. Additionally, a Progressive Translation Learning (PTL) strategy is devised to enable the SGG method to work reliably across domains with large gaps. Extensive experiments demonstrate the superiority of our approach over state-of-the-art methods.Comment: Accepted to ICCV202

The covertisation of norms in contact situations : The influence of the nonnative speaker on native speaker behaviour

Recombination events. a) Detailed information of 2087 recombination events detected in TcTS gene family. b) Summary of number and percentage of newly annotated TcTS and previously annotated TcTS participating in recombination events as recombinant product, major donor or minor donor. (XLSX 549 kb

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

IR-TEx is an application written in Shiny (an R package) that allows exploration of the expression of (as well as assigning functions to) transcripts whose expression is associated with insecticide resistance phenotypes in Anopheles gambiae mosquitoes. The application can be used online or downloaded and used locally by anyone. The local application can be modified to add new insecticide resistance datasets generated from multiple -omics platforms. This guide demonstrates how to add new datasets and handle missing data. Furthermore, IR-TEx can be completely and easily recoded to use-omics datasets from any experimental data, making it a valuable resource to many researchers. The protocol illustrates the utility of IR-TEx in identifying new insecticide resistance candidates using the the microsomal glutathione transferase, GSTMS1, as an example. This transcript is upregulated in multiple pyrethroid resistant populations from Côte D'Ivoire and Burkina Faso. The identification of co-correlated transcripts provides further insight into the putative roles of this gene