Studies on the Avoidance of Cultural Conflicts from the Aspect of Relationship between Non-verbal Communication and Culture

Nowadays,communication with foreign people isbecoming closer.While,misunderstandings occur frequently inthis process.The main purpose of this essay is to offer some pro-posals on the problem of misunderstandings and conflicts in inter-cultural communication from the aspect of relationship betweenculture and non-verbal communication.

COLLISION AVOIDANCE DECISION-MAKING MODEL OF MULTI-AGENTS IN VIRTUAL DRIVING ENVIRONMENT WITH ANALYTIC HIERARCHY PROCESS

Collision avoidance decision-making models of multiple agents in virtual driving environment are studied. Based on the behavioral characteristics and hierarchical structure of the collision avoidance decision-making in real life driving, delphi approach and mathematical statistics method are introduced to construct pair-wise comparison judgment matrix of collision avoidance decision choices to each collision situation. Analytic hierarchy process （AHP） is adopted to establish the agents＇ collision avoidance decision-making model. To simulate drivers＇ characteristics, driver factors are added to categorize driving modes into impatient mode, normal mode, and the cautious mode. The results show that this model can simulate human＇s thinking process, and the agents in the virtual environment can deal with collision situations and make decisions to avoid collisions without intervention. The model can also reflect diversity and uncertainly of real life driving behaviors, and solves the multi-objective, multi-choice ranking priority problem in multi-vehicle collision scenarios. This collision avoidance model of multi-agents model is feasible and effective, and can provide richer and closer-to-life virtual scene for driving simulator, reflecting real-life traffic environment more truly, this model can also promote the practicality of driving simulator.

A new collision avoidance model for pedestrian dynamics

The pedestrians can only avoid collisions passively under the action of forces during simulations using the social force model, which may lead to unnatural behaviors. This paper proposes an optimization-based model for the avoidance of collisions, where the social repulsive force is removed in favor of a search for the quickest path to destination in the pedestrian＇s vision field. In this way, the behaviors of pedestrians are governed by changing their desired walking direction and desired speed. By combining the critical factors of pedestrian movement, such as positions of the exit and obstacles and velocities of the neighbors, the choice of desired velocity has been rendered to a discrete optimization problem. Therefore,it is the self-driven force that leads pedestrians to a free path rather than the repulsive force, which means the pedestrians can actively avoid collisions. The new model is verified by comparing with the fundamental diagram and actual data. The simulation results of individual avoidance trajectories and crowd avoidance behaviors demonstrate the reasonability of the proposed model.

A New Efficient Obstacle Avoidance Control Method for Cars Based on Big Data and Just-in-Time Modeling

This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used in various real systems. The main property of the proposed method is that a gain and a control time which are parameters in the control input to avoid an encountered obstacle are computed from a database which includes a lot of driving data in various situations. Especially, the important advantage of the method is small computation time, and hence it realizes real-time obstacle avoidance control for cars. From some numerical simulations, it is showed that the new control method can make the car avoid various obstacles efficiently in comparison with the previous method.

Modeling and Global Conflict Analysis of Firewall Policy

The global view of firewall policy conflict is important for administrators to optimize the policy.It has been lack of appropriate firewall policy global conflict analysis,existing methods focus on local conflict detection.We research the global conflict detection algorithm in this paper.We presented a semantic model that captures more complete classifications of the policy using knowledge concept in rough set.Based on this model,we presented the global conflict formal model,and represent it with OBDD(Ordered Binary Decision Diagram).Then we developed GFPCDA(Global Firewall Policy Conflict Detection Algorithm) algorithm to detect global conflict.In experiment,we evaluated the usability of our semantic model by eliminating the false positives and false negatives caused by incomplete policy semantic model,of a classical algorithm.We compared this algorithm with GFPCDA algorithm.The results show that GFPCDA detects conflicts more precisely and independently,and has better performance.

Research on the Protection of Vulnerable Groups in Water Pollution Conflicts Based on Binomial Tree Pricing Model

The interests of vulnerable groups can’t be guaranteed due to their weaker capacity and the limited interests demand channels during the water pollution conflicts. The interest protection for the vulnerable people in the water pollution conflicts has attracted attentions of the international scholars. The paper tries to construct the market mechanism which can make the vulnerable people to involve in the emission trading. The vulnerable people can buy American put option in the emission trading market. When the price of the emission runs below the contract price, the vulnerable people can get the benefit through executing the option. When the price of the emission runs above the contract price, the vulnerable people can give up the right. The binomial tree option pricing model can help the vulnerable people to make a decision through the analysis of the worth of the American put option.

A Fundamental Study on Multi-agent Pedestrian Model Based on Risk Avoidance Behavior during Road Blockage and Evacuation Simulation of Regional Urban Disaster

Regional cities in Japan are at the risk of experiencing big fire accidents or earthquakes every day.However,neither the number nor the capacity of shelters has increased because local governments might not consider them owing to budget shortfall.By contrast,wide-area evacuation simulations can easily provide an antagonizing image of regional urban disasters.After a disaster,the city collapses and the evacuation routes are closed;consequently,evacuees feel anxious and they cannot move as usual.This anxiety behavior has not been considered in previous related studies and simulations.In this study,a wide-area evacuation simulation is developed;this model can not only calculate the possibility of blocking escape routes when the city is broken but also provide safe and more realistic evacuation plans before a disaster occurs by incorporating into the simulation the risk avoidance behaviors of evacuees from road blockage,such as“the route re-seeking behavior”and“the shelter re-selecting behavior”.

A Review of Traffic Conflict Avoidance Methods at Intersection Using Vehicle-Infrastructure Cooperation System

Road intersections are important nodes for the convergence,turning,and diversion of traffic flows in the urban road network,but at the same time,due to the large traffic volume and conflict points at the intersection,it has become a traffic congestion and accident-prone area,which seriously affects road traffic safety and vehicle traffic efficiency.Therefore,it is of great significance to study the collaborative control strategy of urban intersections.This paper analyzes and summarizes the methods of intersection cooperative control based on intelligent connected vehicles in recent years,and looks forward to the future development trend and prospects of the combination of intersection cooperative control and Vehicle-Infrastructure Cooperation System.

Predictive Model to Evaluate Accommodation of Conflict Management Strategies and Board Performance of Oil and Gas Companies in Port Harcourt

This paper evaluates accommodation of conflict management strategies and board performances in oil and gas sector.The study details the re­flection of effectiveness,efficiency and productivity as the answer to thorough efficiency in accommodation of conflict management in oil and gas sector,these parameters in the system express their efficacy on con­flict management in these multinationals,this implies that for thorough efficiency,these variables must work simultaneously for effective and efficient in structural organization that can be a leading multinational sector in oil and gas environment.The study observed Linearized result from graphical representation explaining predominant lower efficiency and little higher efficiency in accommodation of conflict management in oil and gas companies.These experiences from the study monitor the system from generated simulation values that describe the growth rates in exponential phase of accommodation conflict strategic management.Despite exponential phase the results experienced lower parameters,when comparing on its variations showing its poor efficiency as observed in the study.Few periods observed higher effective accommodation on conflict strategic management.The developed model stimulation values were subjected to validation and both parameters generated favourable fits correlation,the study expressed the deficiency on accommodation of conflict management strategy thus developed models that can monitor the fluctuation and progressive state of accommodation on conflict manage­ment strategy,it defines the reflection of other parameters that express the behaviour of the system in terms of conceptual approach to monitor these type of strategic management in oil and gas companies.

行人过街模拟及车辆右转避障路径规划方法

为解决无信号十字路口右转车辆与同侧过街行人的交互冲突问题,提出一种模拟过街行为的行人过街运动模型,设计了车辆横纵向解耦避障路径规划算法,并进行了仿真实验。使车辆面向动、静态行人时能合理切换避障路径规划策略;同时,将过街运动模型驱动下的行人作为车辆避障对象,以过街模型输出的行人未来轨迹生成车辆纵向速度规划障碍位移—时间区域,从而让行人未来运动状态反馈到车辆避障中。结果表明:本文的行人过街运动模型相对观测值的准确率达到了90%,因此,该模型复现了行人过街过程;能根据行人运动状态切换避障方案,使车辆安全避让过街行人。

我国精神卫生政策执行困境研究

通过模糊-冲突理论分析我国精神卫生政策执行困境,为推进精神卫生政策的有效实施提供理论依据。发现我国精神卫生政策的模糊性较低,但冲突性显著,政策执行的冲突性主要表现在观念差异、职业认同冲突、利益协同冲突三方面。因此,我国精神卫生政策执行属于政治性执行,其支配性因素为“权力”,政策执行过程存在一定程度的“形式主义”和“变通执行”。建议从完善政策设计、建立健全配套措施、保障政策执行资源等方面促进精神卫生政策有效实施。

基于恐惧-回避模型的康复护理方案在老年慢性心力衰竭患者中的应用

目的减轻老年慢性心力衰竭患者康复运动恐惧心理,促进其运动康复。方法便利抽取70例心内科住院老年慢性心力衰竭患者,按入院时间分为两组各35例;两组均行常规治疗护理,同时对照组行常规康复护理,干预组构建和实施基于恐惧-回避模型的康复运动方案,持续干预至出院后1个月评价效果。结果干预后干预组心功能指标显著优于对照组(均P<0.05),心脏病运动恐惧得分、明尼苏达州心力衰竭生活质量得分显著低于对照组(均P<0.05);运动方案实施过程中未发生运动相关不良事件。结论对老年慢性心力衰竭患者实施基于恐惧-回避模型的康复运动方案能减轻患者运动恐惧心理,改善心功能,提高生活质量。

无人驾驶农机避障路径跟踪仿真与验证

【目的】为便于验证无人驾驶农机避障路径跟踪的效果,减少实际无人农机试验次数与消耗,设计一种无人驾驶农机避障路径跟踪仿真验证方法,构建一个仿真验证应用系统。【方法】以无人农机为基础,集成真实复杂地形环境仿真、实际作业农机仿真和路径规划算法植入,构建一个一体化仿真验证应用系统。基于三维SLAM技术,采集环境点云数据,实现农田地形环境仿真建模,构建阿克曼转向机械结构的农机仿真建模,提出一种基于农机动力学约束的TEB局部路径规划算法;在仿真验证应用系统中实现路径规划跟踪及避障,并通过多次测试验证该算法的有效性。【结果】避障路径跟踪有效性对比测试和避障路径跟踪平顺性验证测试结果表明,无人农机行驶过程中可有效动态避障,最短有效避障距离为4.1 m。路径跟踪控制效果良好,障碍物距离大于5.0 m时,可控平均误差≤0.4305 m,均方根误差≤0.3151 m;障碍物距离在4.5~5.0 m时,可控误差均值≤1.3538 m,均方根误差≤1.6126 m。【结论】本文提出的改进TEB算法具有较强的作业能力以及较高的作业精度,满足农业机械导航避障路径跟踪仿真验证的需求,该算法可应用于无人农机在实际农田环境的避障路径跟踪。该应用系统易于扩充,为精准农业中针对各种复杂作业环境的农机运作状态的优化设计研究提供基础。

远程办公背景下工作不可预测性对工作与家庭冲突的影响——一个有调节的中介模型

远程办公已成为数字化工作实践的常态,ICT技术使用过程中和工作与家庭生活相关的负面影响越来越受到信息系统领域学者们的重视。本研究运用工作家庭资源理论模型,探究员工在远程办公情境下适应数字技术以及体验工作形式和工作方式转变的过程中感知到的新型工作压力,并阐释其损害员工家庭领域繁荣的具体路径。问卷调查结果表明,远程办公情境下的工作不可预测性导致员工心理弹性的应对资源减少,造成了工作与家庭冲突,而自尊可以有效地帮助员工缓解工作压力和恢复个人资源。实证结果为远程办公如何影响员工的工作体验以及工作与家庭关系提供了新的见解和启示。

基于Ordered Probit模型的人车冲突安全影响因素研究

为探究和定量分析人车冲突严重程度的影响因素,通过采集3个信号交叉口的人车冲突视频数据,利用T-Analyst标定人车轨迹并计算冲突指标(PET),采用85%位累计频率曲线法划分人车冲突等级;从人、车、路及环境特征中选取10个因素作为变量,构建Ordered Probit模型,以确立人车冲突严重程度的显著影响因素,并通过边际效应定量分析不同显著因素的影响程度。研究结果表明:行人闯红灯情况、年龄、行人交通量、人行道占用情况、人行道起点终点、车辆速度变化及车流量是人车冲突严重程度的显著因素,相较于各自参考量,行人闯红灯、车辆加速通过冲突点、人行道起点及老年人造成严重冲突的概率分别增加8.2%,5.9%,5.1%,4.4%;相较于低流量的交通流,较高流量的车流和行人交通流使得严重冲突的概率分别增加3.7%,2.5%,但人行道占用使得严重冲突的概率下降6.8%。研究结果可为信号交叉口行人过街交通安全设施的设计和实施提供理论依据。

基于自适应权重MPC的AEB-P控制策略研究

为进一步优化面向行人的汽车自动紧急制动系统(AEB-P)控制算法,提出了一种综合考虑驾驶舒适性和行人损伤风险的AEB-P分层控制策略。针对C-NCAP的AEB-P评价标准,设计了考虑制动时驾驶员舒适感的制动安全距离模型;通过引入模糊规则综合考虑行人损伤风险和场景工况得到权重系数调整策略,并基于此设计自适应权重系数MPC上层控制器,采用PID下层控制器对自车实际减速度进行修正;建立车辆纵向动力学模型并通过CarSim与Matlab/Simulink搭建测试场景和控制算法,通过硬件在环实验对本文方法和固定TTC阈值算法进行对比。结果表明,所提控制算法能够在93.75%的测试工况中有效避撞,而固定TTC阈值算法避障成功率仅有43.75%。相较于传统控制策略,该方法能使自车和前方行人保持较稳定的最小间距,鲁棒性更好,可为AEB-P控制理论提供参考依据。

GeoGebra用于酸碱滴定曲线精准绘制及滴定终点误差计算

酸碱滴定曲线和滴定终点误差是分析化学课程中酸碱滴定章节的重要教学内容。针对此内容提出了“强模型化、融信息化、增可视化和去公式化”的总教学策略,形成了以电荷平衡关系式、稀释定律和形态分布系数等为底层逻辑的“三步模型法”滴定方程推演过程;采用GeoGebra软件为信息化手段,实现了滴定方程的可视化和数字解。

六自由度机械臂若干基本问题的研究

六自由度机械臂作为一种重要的工业自动化设备,其应用越来越广泛,基于此,分析了近几年我国六自由度机械臂的研究文献,探讨了当下该领域研究的主流方向和相应的研究方法,总结了部分研究的创新之处.通过分析研究方法中的异同,结合市场调研结果指出了当下六自由度机械臂研究中存在的一些问题,总结为动力学问题、控制问题、感知问题、精度问题及软硬件集成问题,并根据当下研究成果针对每个问题提出了改进措施,最后对未来六自由度机械臂发展方进行了展望.

山区河流典型桥梁船撞概率分析模型比较

船撞桥概率是多学科交叉融合、多因素影响的复杂研究,目前山区河流中梁桥和拱桥在计算船撞桥概率选取规范模型时不太相同。现有船撞桥概率模型及适用条件有所不同,采用美国AASHTO规范模型、LARSEN模型以及三概率参数积分模型,开展船舶对山区河流典型桥梁撞击概率及规律分析。通过分析连续钢构梁桥、上承式拱桥两种桥型的桥在最高、最低通航水位下涉水桥墩的年撞击概率,分析水位变化对年撞击概率的影响规律,得到山区河流梁桥和拱桥的模型适用性。结果表明,三种规范模型下的年撞击概率皆随着通航量的增加而不断增加,AASHTO模型与三概率参数模型,对于梁桥的概率计算结果变化趋势大致相似;对于拱桥,三概率参数积分模型对拱桥撞击横向、纵向位置的变化较为敏感,更适用于山区水位变化较大的拱桥。成果可为不同桥型在船撞概率模型选取提供参考。