Real-time Control Oriented HCCI Engine Cycle-to-cycle Dynamic Modelling

For homogeneous charge compression ignition （HCCI） combustion, the auto-ignition process is very sensitive to in-cylinder conditions, including in-cylinder temperature, in-cylinder components and concentrations. Therefore, accurate control is required for reliable and efficient HCCI combustion. This paper outlines a simplified gasoline-fueled HCCI engine model implemented in Simulink environment. The model is able to run in real-time and with fixed simulation steps with the aim of cycle-to-cycle control and hardware- in-the-loop simulation. With the aim of controlling the desired amount of the trapped exhaust gas recirculation （EGR） from the previous cycle, the phase of the intake and exhaust valves and the respective profiles are designed to vary in this model. The model is able to anticipate the auto-ignition timing and the in-cylinder pressure and temperature. The validation has been conducted using a comparison of the experimental results on Ricardo Hydro engine published in a research by Tianjin University and a JAGUAR V6 HCCI test engine at the University of Birmingham. The comparison shows the typical HCCI combustion and a fair agreement between the simulation and experimental results.

Survey on <i>Essential and Accidental Real-Time Issues</i>in Software Engineering

Software product lines have recently been presented as one of the best promis-ing improvements for the efficient software development. Different research works contribute supportive parameters and negotiations regarding the prob-lems of producing a perfect software scheme. Traditional approaches or recy-cling software are not effective to solve the problems concerning software competence. Since fast developments with software engineering in the past few years, studies show that some approaches are getting extensive attention in both industries and universities. This method is categorized as the software product line improvement;that supports reusing of software in big organizations. Different industries are adopting product lines to enhance efficiency and reduce operational expenses by way of emerging product developments. This research paper is formed to offer in-depth study regarding the software engineering issues such as complexity, conformity, changeability, invisibility, time constraints, budget constraints, and security. We have conducted various research surveys by visiting different professional software development organizations and took feedback from the professional software engineers to analyze the real-time problems that they are facing during the development process of software systems. Survey results proved that complexity is a most occurring issue that most software developers face while developing software applications. Moreover, invisibility is the problem that rarely happens according to the survey.

Transforming Model Oriented Program into Android Source Code Based on Drools Rule Engine

Model transformation is one of the prominent features and the rising research area of Model Driven Engineering (MDE). MDE promotes models to primary artifacts that drive the whole development process. This paper presents the model transformation approach for textual model oriented programs Umple (UML Programming Language) to generate android applications (apps). The proposed approach improved the generation of android source code by using Drools transformation rules and introducing new concern in model driven mobile engineering. The major objective of proposed transformation approach intends to address consistency between source and target model and also intends to handle productivity issues in model driven software development. The main results of model transformation approach are Java class for model layer, XML file for view layer and android activity class for controller layer. Results show that proposed approach achieves high consistency between source and target model and also improves model transformation productivity.

基于CityEngine的三维场景快速建模研究

依据GIS数据作为建模基础,在CityEngine中运用CGA规则,以重庆交通大学为研究区域,对该区域进行了快速模型生成,然后对具体模型进行动态参数调整,对特定建筑进行精细化编辑,最后生成了三维场景。

A Novel Search Engine for Internet of Everything Based on Dynamic Prediction

In recent years, with the rapid development of sensing technology and deployment of various Internet of Everything devices, it becomes a crucial and practical challenge to enable real-time search queries for objects, data, and services in the Internet of Everything. Moreover, such efficient query processing techniques can provide strong facilitate the research on Internet of Everything security issues. By looking into the unique characteristics in the IoE application environment, such as high heterogeneity, high dynamics, and distributed, we develop a novel search engine model, and build a dynamic prediction model of the IoE sensor time series to meet the real-time requirements for the Internet of Everything search environment. We validated the accuracy and effectiveness of the dynamic prediction model using a public sensor dataset from Intel Lab.

Hardware-in-the-Loop Research on the Electronic Control Unit for Diesel Engines

A hardware-in-the-loop simulating platform is developed to avoid designing defects caused by the complicated logical structure and multiple-functional buildup of the dectronic control unit（ECU）in modem diesel engines, and to diminish potential damages on components or human exposure to dangers in R＆D en- deavor. This plat-form consists of a computer installed with software Matlab/Simulink/RTW and dSPACE/ ControlDesk; a diesel engine ECU, and a dSPACE autobox which runs a real-time diesel engine model. A typical model of diesel engine with turbocharger and intercooler is presented. Based on this model our research is carried out with a real ECU to test its software control strategies. Results show that by using the diesel engine model downloaded inside, the hardware-in-the-loop platform can simulate diesel engine＇s working conditions and generate all kinds of sensor signals which ECU needs on a real-time basis. So the ECU control strategies can be validated and relevant parameters roughly calibrated.

基于ArcEngine的土地利用数据研究

作为土地资源调查工作主要成果的土地利用现状图,主要为反映土地利用的特点和利用的合理程度,改良土地利用方式并进一步挖掘土地潜力提供科学依据。目前土地利用数据由大比例尺向中小比例尺转换工作主要由手工操作或是基于商用软件包进行;由于手工操作环节多,工作量大、所耗周期长、技术性强、作业人员的干扰因素多,较易产生误差和错误;而商用软件包在进行土地利用数据制图综合的过程中则缺乏相关的知识规则。本文以此问题为出发点进行研究,结合土地利用数据制图综合理论体系,在ArcEngine环境下对土地利用制图综合规则及操作进行开发,生成土地利用数据制图综合模块;利用实例数据对土地利用数据制图综合模块的功能进行检验,实验结果显著地克服了手工操作中的缺点,并使综合制图的自动化体系得到完善。

基于ArcGIS Engine的村庄规划数据库质检方法研究

质量检查是数据库建设过程中至关重要的环节,为确保村庄规划数据库成果符合标准要求,该文基于ArcGIS Engine对数据库质量自动化检查方法进行了探索与研究,并采用规则定制化模式开发了质检软件。实际应用结果表明,使用该软件可以大幅度提高数据库质检工作的效率和准确性,为后续村庄规划成果数据上图、统计分析、规划管理和实施等工作的开展提供了可靠的基础数据保障。

Visualization aided system of hydropower engineering management

For the purpose of realizing the information visualization of hydropower engineering management, we construeted three kinds of graphics models sorted by hierarchy for system modelling, employed the construction simulation system to simulate the real-time construction behaviours, introduced the graphics rendering system to organize and update the virtual scene, and designed the interaction system to respond to the user-initiated and simulation-initiated events. So, the real-time, interactive visualization aided system of hydropower engineering management is developed. Eventually, the effectiveness and capabilities of the system are showed through the application examples in China.

Automatic Rule Discovery for Data Transformation Using Fusion of Diversified Feature Formats

This article presents an innovative approach to automatic rule discovery for data transformation tasks leveraging XGBoost,a machine learning algorithm renowned for its efficiency and performance.The framework proposed herein utilizes the fusion of diversified feature formats,specifically,metadata,textual,and pattern features.The goal is to enhance the system’s ability to discern and generalize transformation rules fromsource to destination formats in varied contexts.Firstly,the article delves into the methodology for extracting these distinct features from raw data and the pre-processing steps undertaken to prepare the data for the model.Subsequent sections expound on the mechanism of feature optimization using Recursive Feature Elimination(RFE)with linear regression,aiming to retain the most contributive features and eliminate redundant or less significant ones.The core of the research revolves around the deployment of the XGBoostmodel for training,using the prepared and optimized feature sets.The article presents a detailed overview of the mathematical model and algorithmic steps behind this procedure.Finally,the process of rule discovery(prediction phase)by the trained XGBoost model is explained,underscoring its role in real-time,automated data transformations.By employingmachine learning and particularly,the XGBoost model in the context of Business Rule Engine(BRE)data transformation,the article underscores a paradigm shift towardsmore scalable,efficient,and less human-dependent data transformation systems.This research opens doors for further exploration into automated rule discovery systems and their applications in various sectors.

业务规则引擎Ilog JRules工作引擎的工作机制分析

本文在业务规则管理技术的概念基础上,用ILOGJRules引擎与目前流行的开源Drools引擎的比较,并且对照JSR94标准分析ILOGJRules工作引擎的工作过程,阐述了ILOGJRules作为目前国际领先的商用BRMS产品之一的优点所在。

JBoss Rules规则引擎应用程序设计

论述了Java规则引擎的原理,提出了基于规则引擎的系统结构,研究了使用JBoss Rules进行应用程序设计的技术。

Research on microseismic activity rules in Sanhejian Coal Mine

By the microseismic (MS) monitoring system of Sanhejian Coal Mine,the detail MS activity rules in the entire mining process of 9202 strong rockburst working face were studied,following main conclusions were obtained.(1) The strong correlation between MS activity and the region stress gradient was revealed.The higher the region stress gradient, the stronger the MS signal is,and the frequency-spectrum moves to lower frequency band the amplitude begins to add gradually.(2) The different types of MS signals have the cor- responding frequency-spectrum character.Such as relieve-shot MS signal shows the wide frequency-spectrum,multi-peak high frequency character,while rockburst omen signal shows the low frequency and amplitude,the mainshock signal has relatively higher fre- quency and amplitude.(3) To monitor and recognize rockburst dangerous region,the strong consistence between the MS signal intensity and the amplitude of electromagnetic emission (EME) signal and drilling bits measured was observed.On above,the weakening and controlling technology of MS intensity was put forward.

An Object Extraction Model Using Association Rules and Dependence Analysis

Extracting objects from legacy systems is a basic step in system's object orientation to improve the maintainability and understandability of the systems. A new object extraction model using association rules and dependence analysis is proposed. In this model data are classified by association rules and the corresponding operations are partitioned by dependence analysis.

Engineering Projects Real-Time Supervision Mechanism Based on Grid Management

This paper proposes an innovative supervision method that can provide project supervisors with realtime supervision of engineering projects and contractor activity. To obtain real-time and comprehensive state of project, we use grid management to divide the project supervision grid in three levels: stage, objective, and milestone. Then, a detailed supervision mechanism is designed to help supervisors measure the project situation in real time. This mechanism checks that if the project objectives(such as schedule, cost, quality, and safety) in every supervision grid cell are under the healthy limits, any project deviation can be identified as soon as possible.A schedule objective is selected as an example to illustrate the method used to calculate the healthy limit.

DESIGN AND IMPLEMENTATION OF REAL-TIME PHYSICS SIMULATION ENGINE FOR e-ENTERTAINMENT

We present our recent research results regarding the designing and implementation of real-time physics simulation engines,which aim at developing physics-inspired e-entertainment such as computer games,mobile applications,interactive TV and other smart media in Korea.Our real-time physics engine consists of three functional components:rigid body dynamics simulation,deformable body simulation,and data-driven physics simulation.The core simulation techniques to realize these simulation components include real-time collision detection and response,large-scale model simulation,and character model control.In this paper,we highlight these features and demonstrate their performances.We also showcase some of the gaming applications that we have integrated our physics engine into.

基于校园行为特征的学生就业画像

基于校园行为数据分析学生就业与校园行为之间的关联性是大数据背景下高校就业管理与指导工作的重点。文章以高校本科学生为研究对象,对学生基本信息和校园行为数据进行特征提取和学生标签体系的构建,通过关联规则挖掘学生就业与校园行为之间的关联,探析不同毕业去向学生的行为特征。研究发现:国内读研类学生有4种典型学生群体画像,出国出境类大学生有3种典型学生群体画像,直接就业类大学生有4种典型学生群体画像,不同的学生群体在行为规律性、消费水平和学业水平等方面存在显著区别。文章建议:提供大学生职业生涯规划指导,加强对学生心理状况的关注,开展同学结对帮扶活动。

一种基于改进行为树的智能对手行为模拟技术

为解决智能算法/智能平台/智能系统智能化能力测试评估需高水平的智能对手模拟问题,提出了基于改进行为树的智能对手行为模拟技术。设计了行为控制、作战任务、行为动作、执行为4类行为树节点,建立了机动、侦察预警、指挥决策、火力打击和电子干扰5类原子行为动作和参数,给出了打击目标选择、武器发射、来袭武器判断等5类原子条件;提出了智能对手行为模拟系统组成,包括行为规则编辑器与行为规则引擎,建立了对手行为模拟运行流程。结合边境区域空地协同对抗典型应用场景,仿真结果表明模拟的智能对手行为能够支持智能化能力评估。

完善危大工程安全管理实施细则的几点建议——以《安徽省危险性较大的分部分项工程安全管理规定实施细则》为例

住房和城乡建设部37号令颁布的《危险性较大的分部分项工程安全管理规定》作为建筑领域的行业规定,内容偏于笼统,各地根据本省实际出台的实施细则各有特色。《安徽省危险性较大的分部分项工程安全管理规定实施细则》成文于5年前,实施以来工程建设中又出现了一些新情况、新问题,应适时启动对实施细则的评审程序。从增加危大工程清单、扩大危大工程范围、加强危大工程施工和监督的过程管理和验收、加大专家参与度等方面进行必要的补充和完善,以适应危大工程施工安全管理的需要。