Research on visual differences of exits of different grades of tunnels based on machine learning

Tunnels are vital in connecting crucial transportation hubs as transportation infrastructure evolves.Variations in tunnel design standards and driving conditions across different levels directly impact driver visual perception and traffic safety.This study employs a Gaussian hybrid clustering machine learning model to explore driver gaze patterns in highway tunnels and exits.By utilizing contour coefficients,the optimal number of classification clusters is determined.Analysis of driver visual behavior across tunnel levels,focusing on gaze point distribution,gaze duration,and sweep speed,was conducted.Findings indicate freeway tunnel exits exhibit three distinct fixation point categories aligning with Gaussian distribution,while highway tunnels display four such characteristics.Notably,in both tunnel types,65%of driver gaze is concentrated on the near area ahead of their lane.Differences emerge in highway tunnels due to oncoming traffic,leading to 13.47%more fixation points and 0.9%increased fixation time in the right lane compared to regular highway tunnel conditions.Moreover,scanning speeds predominantly fall within the 0.25-0.3 range,accounting for 75.47%and 31.14%of the total sweep speed.

Consequences of Exits from Political Unions on Dividend Policy: The Case of Ethiopian Split

This paper examines the consequences of exits from political unions or the split of countries on dividend policy decision,taking the Ethiopian split as a practical case,considered as a major factor in the increase of political tension with Eritrea especially after the secession,that led to the increase in successive political conflicts and dispute over the past years till now.This paper studies the impacts of political conflicts that have been companied with split to this day especially during the period between 2010 and 2019,using a database of six companies from different sectors,from Ethiopia.The results show that the political conflicts such as split have a direct impact on the dividend policy.

Consequences of Exits from Political Unions on Leverage: The Case of Sudan Split

This paper examines the consequences of exits from political unions and the split of countries on capital structure decision especially the leverage,taking Sudan split(2011)as a practical case.Where the split between the two countries presents a challenge to companies in Sudan,especially they have not faced such a situation before in their businesses.This paper studies the impacts of the split on the capital structure during the period before and after the split,between 2008 and 2015,using a database of five different companies from different sectors,from Sudan.A regression model was adopted to study the impact of the split on the variables in order to analyze the variation in the ratios before and after the split.The results show that the political decisions such as split have a lot of consequences on the capital structure.

Logit-based exit choice model of evacuation in rooms with internal obstacles and multiple exits

A logit-based discrete choice model is proposed to study the exit choice behaviour of evacuees in rooms with internal obstacles and multiple exits. Several factors influencing the exit choice behaviour, including the information obtained by evacuees, the tendency of following others, the visibility and familiarity of exits and the physical conditions of nearby exits, are considered. Evacuees are allowed to re-select their target exits for minimizing the perceived disutility during evacuation process. Numerical results from applying the model to cellular automata simulation of evacuation are presented and the effects of some model parameters on evacuation time are investigated.

Exit selection strategy in pedestrian evacuation simulation with multi-exits

A mixed strategy of the exit selection in a pedestrian evacuation simulation with multi-exits is constructed by fusing the distance-based and time-based strategies through a cognitive coefficient, in order to reduce the evacuation imbalance caused by the asymmetry of exits or pedestrian layout, to find a critical density to distinguish whether the strategy of exit selection takes effect or not, and to analyze the exit selection results with different cognitive coefficients. The strategy of exit selection is embedded in the computation of the shortest estimated distance in a dynamic parameter model, in which the concept of a jam area layer and the procedure of step-by-step expending are introduced. Simulation results indicate the characteristics of evacuation time gradually varying against cognitive coefficient and the effectiveness of reducing evacuation imbalance caused by the asymmetry of pedestrian or exit layout. It is found that there is a critical density to distinguish whether a pedestrian jam occurs in the evacuation and whether an exit selection strategy is in effect. It is also shown that the strategy of exit selection has no effect on the evacuation process in the no-effect phase with a low density, and that evacuation time and exit selection are dependent on the cognitive coefficient and pedestrian initial density in the in-effect phase with a high density.

CFD simulation of smooth and T-abrupt exits in circulating fluidized bed risers

Gas-solid flow in circulating fluidized bed （CFB） risers depends not only on operating conditions but also on exit configurations. Few studies investigated the effects of exit configurations on flow structure using computational fluid dynamics （CFD）. This paper provides a 2D two-fluid model to simulate a cold bench-scale square cross-section riser with smooth and T-abrupt exits. The drag force between the gas and solid phases plays an important role in CFD. Since the drag force model based on homogeneous two- phase flow, such as the Wen-Yu correlation, could not capture the heterogeneous structures in gas-solid flow, the structure-dependent energy-minimization multi-scale （EMMS） drag force model （Wang, Ge, ＆ Li, 2008）, applicable for Geldart B particles （sand）, was integrated into the two-fluid model. The calculated axial solids hold-up profiles were respectively exponential curve for smooth exit and C-shaped curve for T-abrupt exit, both consistent with experimental data. This study once again proves the key role of drag force in CFD simulation and also shows the validity of CFD simulation （two-fluid model） to describe exit effects on ~as-solid flow in CFB risers.

Pedestrian flow through exit:Study focused on evacuation pattern

Experiments are conducted on the evacuation rate of pedestrians through exits with queued evacuation pattern and random evacuation pattern. The experimental results show that the flow rate of pedestrians is larger with the random evacuation pattern than with the queued evacuation pattern. Therefore, the exit width calculated based on the minimum evacuation clear width for every 100 persons, which is on the assumption that the pedestrians pass through the exit in one queue or several queues, is conservative. The number of people crossing the exit simultaneously is greater in the random evacuation experiments than in the queued evacuation experiments, and the time interval between the front row and rear row of people is shortened in large-exit conditions when pedestrians evacuate randomly. The difference between the flow rate with a queued evacuation pattern and the flow rate with a random evacuation pattern is related to the surplus width of the exit, which is greater than the total width of all accommodated people streams. Two dimensionless quantities are defined to explore this relationship. It is found that the difference in flow rate between the two evacuation patterns is stable at a low level when the surplus width of the exit is no more than 45% of the width of a single pedestrian stream. There is a great difference between the flow rate with the queued evacuation pattern and the flow rate with the random evacuation pattern in a scenario with a larger surplus width of the exit. Meanwhile, the pedestrians crowd extraordinarily at the exit in these conditions as well, since the number of pedestrians who want to evacuate through exit simultaneously greatly exceeds the accommodated level. Therefore, the surplus width of exit should be limited especially in the narrow exit condition, and the relationship between the two dimensionless quantities mentioned above could provide the basis to some extent.

Heat and mass transfer of a circular porous moist object located in a triangular shaped vented cavity

Heat and mass transfer of a circular-shaped porous moist object inside a two-dimensional triangle cavity is investigated by using finite element method.The porous object is considered to be a moist food sample,located in the middle of the cavity with inlet and outlet ports with different configurations of inlet/outlet ports.Convective drying performance is numerically assessed for different values of Reynolds numbers(between 50 and 250),dry air inlet temperature(between 40 and 80℃)and different locations of the port.It is observed that changing the port locations has significant impacts on the flow recirculaitons inside the triangular chamber while convective drying performance is highly affected.The moisture content reduces with longer time and for higher Reynolds number(Re)values.Case P4 where inlet and outlet ports are in the middle of the walls provides the most effective configuration in terms of convective drying performance while the worst case is seen for P1 case where inlet and outlet are closer to the corners of the chamber.There is a 192% difference between the moisture reduction of these two cases at Re=250,T=80℃ and t=120 min.

A novel cascaded H-bridge photovoltaic inverter with flexible arc suppression function

This paper presents a novel approach that simultaneously enables photovoltaic(PV)inversion and flexible arc suppression during single-phase grounding faults.Inverters compensate for ground currents through an arc-elimination function,while outputting a PV direct current(DC)power supply.This method effectively reduces the residual grounding current.To reduce the dependence of the arc-suppression performance on accurate compensation current-injection models,an adaptive fuzzy neural network imitating a sliding mode controller was designed.An online adaptive adjustment law for network parameters was developed,based on the Lyapunov stability theorem,to improve the robustness of the inverter to fault and connection locations.Furthermore,a new arc-suppression control exit strategy is proposed to allow a zerosequence voltage amplitude to quickly and smoothly track a target value by controlling the nonlinear decrease in current and reducing the regulation time.Simulation results showed that the proposed method can effectively achieve fast arc suppression and reduce the fault impact current in single-phase grounding faults.Compared to other methods,the proposed method can generate a lower residual grounding current and maintain good arc-suppression performance under different transition resistances and fault locations.

Regarding the Regulatory Sandbox Route and Mechanism for Governance of Artificial Intelligence

The main challenge in AI governance today is striking a balance between controlling AI dangers and fostering AI innovation.Regulators in a number of nations have progressively extended the regulatory sandbox,which was first implemented in the banking sector,to AI governance in an effort to reduce the conflict between regulation and innovation.The AI regulatory sandbox is a new and feasible route for AI governance in China that not only helps to manage the risks of technology application but also prevents inhibiting AI innovation.It keeps inventors'trial-and-error tolerance space inside the regulatory purview while offering a controlled setting for the development and testing of novel AI that hasn't yet been put on the market.By providing full-cycle governance of AI with the principles of agility and inclusive prudence,the regulatory sandbox offers an alternative to the conventional top-down hard regulation,expost regulation,and tight regulation.However,the current system also has inherent limitations and practical obstacles that need to be overcome by a more rational and effective approach.To achieve its positive impact on AI governance,the AI regulatory sandbox system should build and improve the access and exit mechanism,the coordination mechanism between the sandbox and personal information protection,and the mechanisms of exemption,disclosure,and communication.

Application of Connected Truck Data to Evaluate Spatiotemporal Impact of Rest Area Closures on Ramp Parking

Ensuring adequate access to truck parking is critical to the safe and efficient movement of freight traffic. There are strict federal guidelines for commercial truck driver rest periods. Rest areas and private truck stops are the only places for the trucks to stop legally and safely. In locations without sufficient parking areas, trucks often park on interstate ramps, which create safety risks for other interstate motorists. Historically, agencies have employed costly and time intensive manual counting methods, camera surveillance, and driver surveys to assess truck parking. Connected truck data, available in near real-time, offers an efficient alternative to practitioners to assess truck parking patterns and identify areas where there may be insufficient safe parking spaces. This paper presents a case study of interstate I-70 in east central Indiana and documents the observed spatiotemporal impacts of a rest area closure on truck parking on nearby interstate ramps. Results showed that there was a 28% increase in parking on ramps during the rest area closure. Analysis also found that ramps closest to the rest area were most impacted by the closure, seeing a rise in truck parking sessions as high as 2.7 times. Parking duration on the ramps during rest area closure also increased drastically. Although it was expected that this would result in increased parking by trucks on adjacent ramps, this before, during, after scenario provided an ideal scenario to evaluate the robustness of these techniques to assess changing parking characteristics of long-haul commercial trucks. The data analytics and visualization tools presented in this study are scalable nationwide and will aid stakeholders in informed data-driven decision making when allocating resources towards improving the nations commercial vehicle parking infrastructure.

具有不等错误保护特性的LDPC编码调制方案

针对LDPC(low-densityparity-check)编码调制系统,提出了一种新的具有不等错误保护特性的调制方案,在一个码字内,利用不同的调制方式对于重要的比特给予较强的保护,对于次要的比特给予较弱的保护,该方案既适用于非规则LDPC码,也适用于规则LDPC码。计算机仿真结果表明,新方案的性能是传统16QAM及4QAM的折衷,当采用1/2码率时,其频带利用率与8PSK相同,但是误码率性能优于8PSK。新方案的性能优于现有文献中基于比特可靠性的调制映射方案,并采用EXIT(extrinsicinformationtransfer)图对新方案的优异性能给出了解释。

一种AWGN信道下非规则LDPC码的优化方法

提出了一种加性高斯噪声(AWGN)信道下非规则低密度奇偶校验(LDPC)码的优化方法。利用LDPC码迭代译码算法下变量节点与校验节点的EX IT曲线之间的面积反映码的收敛阈值与香农限的差距这一特点,设计表示两条EX IT曲线之间面积的函数F,该函数可以衡量非规则LDPC码的性能,F值越小,LDPC码的收敛阈值就越接近香农限。仿真显示,合理设计变量节点和校验节点,减小函数F的值,能够提高非规则LDPC码的性能。

GF(q)域上非规则LDPC码EXIT图分析方法研究

GF(q)域上非规则LDPC码是二进制非规则LDPC码在有限域GF(q=2p)上的扩展,在码长和码率相等的情况下,具有比二进制非规则LDPC码更优异的性能。如何分析GF(q)域上非规则LD-PC码的迭代译码性能是其能否有效应用的关键。基于迭代译码结构,本文研究了AWGN信道下GF(q)域上非规则LDPC码的EXIT图分析方法,推导了其计算表达式;提出了利用EXIT图变量节点与校验节点联合优化准则。仿真结果表明,相对密度进化方法,该方法计算出的收敛门限值的精度稍有下降,却极大地降低了计算复杂度;在相同通信条件下,通过联合优化准则设计的GF(q)域上的非规则LDPC性能优于二进制非规则LDPC码;得到的收敛门限对应的信噪比非常接近香农限,进一步验证了EXIT图分析工具的优越性。

低密度校验码(LDPC码)

低密度校验码(Low Density Parity Check Codes,LDPCcodes)是当前编码理论领域研究最热的信道编码之一。本文首先对信道编码研究历程作了简单回顾,然后介绍了LDPC码的发展历程并全面介绍了其相关理论。对LDPC码的和积译码算法(Sum-Product Algorithm,SPA)或置信传播算法(Belief Propagation Algorithm,BPA)、基于二分图的随机构造与代数构造、密度进化理论、高斯近似以及EXIT表分析等相关技术理论的发展和原理进行了详尽的阐述。同时本文还给出近年来LDPC码最新研究成果并给出一些开放性的研究课题。

基于EXIT图的正则LDPC码性能分析研究

EXIT(EXtrinsic Information Transfer)图分析方法可以看作密度进化技术的一种简化,具有实现简单的优点,并且在不同的信道、调制方案以及检测器中都可以使用。在详细阐述了EXIT图分析方法的基础上,给出了基于EXIT图的正则LDPC码的门限判决算法,进一步通过计算机仿真分别给出了变量节点译码器和校验节点译码器的EXIT曲线,以及不同的信道信噪比下(3,6)正则LDPC码EXIT图的变化规律,直观地对迭代译码过程中的互信息变化进行了描述分析。

基于EXIT图的Turbo均衡LDPC码性能分析及优化研究

EXIT图是用来分析级联系统中外信息迭代交换的重要工具,本文将Brink的基于EXIT图的优化MIMO信道LDPC码的思想推广到用于Turbo均衡的LDPC码性能分析及码结构设计优化中。文章首先给出了基于互信息的接收机具体分析模型,接着分别讨论了接收机分析模型中两个单元的EXIT曲线:线性MMSE均衡器和VND(variable node decoder)的联合EXIT曲线,CND(check node variable)的EXIT曲线的详细计算步骤。进一步以获得的EXIT曲线为基础,提出了用于Tur- bo均衡的LDPC码的码结构优化算法,EQVAC-EXIT(EQVAC:equalizer VND and CND)算法,算法能够自动地进行码集噪声门限值计算及优化次数分布对的搜索。最后的数值仿真结果表明,(3,6)正则码及优化得到的非正则码的噪声门限值距离Narayanan的结果仅相差0．03dB左右,优化得到的边的次数分布及节点的次数分布与Narayanan的结果相比也很接近。

Discussion on Calculation Method of Poverty Incidence in the Exit Evaluation of Poverty-Stricken Counties and Villages

Poverty incidence is the key index that needs to be measured in the poverty exit examination and evaluation of 832 poverty-stricken counties and 128 000 poverty-stricken villages. In this paper, based on the statement of general concept and conventional calculation method of the poverty incidence, the calculation method of poverty incidence in the exit evaluation of poverty-stricken counties （also including poverty-stricken township and poverty-stricken villages） was investigated through the view of the third-party evaluation. In addition to considering the previous ＂number of planned poverty remaining population＂, the method also needed to give consideration to the exiting mistaken population, evaluation missing population. Based on the case in Yuanyang County, Honghe Hani and Yi Autonomous Prefecture, Yunnan Province, the poverty incidences of 10 exit planning villages by the end of 2017 in Yuanyang County were investigated and estimated, and suggestions were proposed to promote the precise poverty alleviation and poverty relief of the county.

基于LDPC的BICM系统星座映射方式分析

星座映射方式在BICM系统的设计中非常重要。将外信息传递函数(Extrinsic Information Transfer Function)曲线用于星座映射的设计,用Monte Carlo仿真给出了16QAM星座的几种星座映射方式的外信息传递函数曲线,结合EXIT曲线分析了星座映射方式对系统性能的影响。仿真结果证实了EXIT曲线在星座映射设计中的有效性。

澄明的阶梯:从真“人”到真“物”——论海德格尔“克服形而上学”的基本思路

在《存在与时间》中 ,海德格尔试图通过思考“此在”如何使“在”“明”起来 ,来思考那被传统形而上学遗忘了的“存在意义”,其重要的内容是对此在“历史性”、“有限性”的分析 ,消解传统形而上学。这是前期海德格尔试图克服形而上学的基本思路 ,他仍然还有建立一种基础存在论的梦想。后期海德格尔改变了运思的思路。他由“物的纯真”和“人的诗意栖居”两个方面“思”“存在的真理”,要求人们“听命于存在的邀请”、“居于存在的近邻”。海德格尔思路的转变凸显了他在两级阶梯 (“人 -物”)上颠覆西方形而上学的奥秘 ,是对形而上学的历史传统和现实运作进行清算的伟大尝试。