Dynamic modeling and aperiodically intermittent strategy for adaptive finite-time synchronization control of the multi-weighted complex transportation networks with multiple delays

The idea of network splitting according to time delay and weight is introduced.Based on the cyber physical systems(CPS),a class of multi-weighted complex transportation networks with multiple delays is modeled.The finite-time synchronization of the proposed complex transportation networks model is studied systematically.On the basis of the theory of stability,the technique of adaptive control,aperiodically intermittent control and finite-time control,the aperiodically intermittent adaptive finite-time synchronization controller is designed.The controller designed in this paper is beneficial for understanding the synchronization in multi-weighted complex transportation networks with multiple delays.In addition,the conditions for the existence of finite time synchronization have been discussed in detail.And the specific value of the settling finite time for synchronization is obtained.Moreover,the outer coupling configuration matrices are not required to be irreducible or symmetric.Finally,simulation results of the finite-time synchronization problem are given to illustrate the correctness of the results obtained.

The Use of Exergames for Adaptive Physical Activity among the Elderly

The research program proposed in this study promotes the development of a pilot study for the promotion of physical and motor activities for the elderly, with particular reference to the over 80 years old. The study aims to promote the practice of adapted physical activity for the elderly and proposes the design and development of specific exergames for the promotion of a healthy and active lifestyle among the elderly even when they can not do motor activities in dedicated places such as gyms or specialized centers or adequate natural environments. The project involved elderly people living in the Salerno area who can not do motor activity in a regular way due to cultural, socio-economic, environmental or personal reasons. The identification of the experimental group for the pilot study required a preliminary survey on the levels of autonomy, intellectual efficiency and motor functioning： Instrumental activities of daily living, activities of daily living, short portable mental status questionnaire, clock drawing test, geriatric depression scale （GDS-15） and the short physical performance battery were administered. A specific program of adapted physical activities was planned and realized for 8 months. The study could open interesting perspectives of research that involve interesting results also from a social point of view.

Research on the Adaptability of Rural Elderly People Moving to Urban Communities

In recent years, under the background that the country actively promotes population urbanization, a large number of young people migrate to cities and towns through employment or schooling and take root in the urban construction. However, the left-behind elderly people in rural areas are in a dilemma, and they will face many problems in their lives whether living in cities or staying behind, the quality of life is lowered generally. After going into the city, many elderly people in rural areas, due to their own physiological and psychological characteristics, do not adapt to living in urban areas, and the qualities of lives are not improved. By investigating the status quo of the elderly in rural areas migrating to urban areas, this paper analyses the reasons for and existing problems of migrating to urban areas and puts forward suggestions for improving community adaptability from the perspective of social work.

Spatial Optimization and Reconstruction of Old Communities under the Background of Aging

As aging becomes increasingly serious,how to make the life of the elderly more convenient and comfortable has become one of the social problems to be solved urgently.Old residential areas are one of spaces where the elderly gather.In this paper,the prominent problems in the community space of existing old residential areas that are not conducive to the life of the elderly were analyzed,and corresponding countermeasures to transform the community space were put forward.It is hoped that public space can play its due value and make old residential areas glow with new vitality.

A mixed stochastic user equilibrium model considering influence of advanced traveller information systems in degradable transport network

Advanced traveler information systems （ATIS） can not only improve drivers＇ accessibility to the more accurate route travel time information, but also can improve drivers＇ adaptability to the stochastic network capacity degradations. In this paper, a mixed stochastic user equilibrium model was proposed to describe the interactive route choice behaviors between ATIS equipped and unequipped drivers on a degradable transport network. In the proposed model the information accessibility of equipped drivers was reflected by lower degree of uncertainty in their stochastic equilibrium flow distributions, and their behavioral adaptability was captured by multiple equilibrium behaviors over the stochastic network state set. The mixed equilibrium model was formulated as a fixed point problem defined in the mixed route flows, and its solution was achieved by executing an iterative algorithm. Numerical experiments were provided to verify the properties of the mixed network equilibrium model and the efficiency of the iterative algorithm.

Guidance and Control System for Platoon of Autonomous Mobile Robots

This paper presents a concept of platoon movement of autonomous vehicles(smart cars).Autonomous vehicles have ACC(adaptive or advanced cruise control)system also called ICC(intelligent cruise control)or AICC(adaptive intelligent cruise control)system.These vehicles are suitable to follow other vehicles on desired distance and to be organized in platoons.To be able to do research to the control and stability of an AGV(automated guided vehicles)string,a car-following model is being determined.To do this,first a single vehicle is modelled and since all cars in the platoon have the same dynamics,the single vehicle model is copied ten times to form model of platoon(string)with ten vehicles.To control this string,equal PID(proportional-integral-derivative)controllers are applied to all vehicles,except the leading vehicle.These controllers try to keep the headway distance as constant as possible and the velocity between subsequent vehicles error small.For control of vehicle with nonlinear dynamics combination of feedforward control and feedback control approach is used.Feedforward control is based on inverse model of nominal dynamics of the vehicle,and feedback PID control is designed on base of linearized model of the vehicle.For simulation and analysis of vehicle and platoon of vehicles Matlab/Simulink models are designed.Simulation results,discussions and conclusions are given at the end of the paper.

Preliminary Results of Dementia Prevalence among Elderly People at Home by Cognitive Disorder Adapted Test of Niamey (Niger)

Introduction: Neurocognitive disorders are frequent with aging and are often seen at advancing stages in our context. It is really difficult to evaluate rapidly Nigerien elderly persons according to tools available on cognitive status while there is a great number of uneducated elderly people who suffer from cognitive deficiency. The purpose was to determine neurocognitive disorders prevalence in uneducated groups and Muslim elderly people by using the cognitive disorder examination (Codex) test adopted in the population living at home in Niamey (Niger). Materials and Methods: These are the results of a preliminary prospective study with simple three (3) random sampling concerning elderly people aged 60 and over living at home in whom the codex test adapted to Niamey was administered in uneducated Muslim elderly people for a total duration of four (4) minutes. This screen-adapted test should be completed by the mini-mental test of Senegal which is adapted globally to uneducated people in hospitals. The basic Codex test was developed in France for educated people, so we used this basic test in our educated people in the same study. Results: A total of 198 patients had been collected, of which 51.5% were female with an average age of 68 years with extremes of 60 to 84 years. 40 were educated. Among educated persons, 62.5% had a very low probability of dementia and 5% had a very high probability of dementia in the first step of the Codex. In the second step, 12.5% had a low probability of dementia and 20% had a high probability in the same group, while 51.3% had a very low probability of dementia and 21.3% had a very high probability of dementia in the first step of CODEX in uneducated elderly. In the second step in the same group, 12.6% had a low probability and 14.5% had a high probability of dementia. Conclusion: The adapted codex test of Niamey is simple and could be rapidly used to screen dementia among uneducated elderly Muslim prayers, and then could confirm it by complementary cognitive status test validated in the same population. However, it should be confirmed by using a large sample.

Connectivity-Enhanced Route Selection and Adaptive Control for the Chevrolet Volt

The National Renewable Energy Laboratory and General Motors evaluated connectivity-enabled efficiency enhancements for the Chevrolet Volt. A high-level model was developed to predict vehicle fuel and electricity consumption based on driving characteristics and vehicle state inputs. These techniques were leveraged to optimize energy efficiency via green routing and intelligent control mode scheduling, which were evaluated using prospective driving routes between tens of thousands of real-world origin/destination pairs. The overall energy savings potential of green routing and intelligent mode scheduling was estimated at 5% and 3%, respectively. These represent substantial opportunities considering that they only require software adjustments to implement.

Low-Rank Optimal Transport for Robust Domain Adaptation

When encountering the distribution shift between the source(training) and target(test) domains, domain adaptation attempts to adjust the classifiers to be capable of dealing with different domains. Previous domain adaptation research has achieved a lot of success both in theory and practice under the assumption that all the examples in the source domain are welllabeled and of high quality. However, the methods consistently lose robustness in noisy settings where data from the source domain have corrupted labels or features which is common in reality. Therefore, robust domain adaptation has been introduced to deal with such problems. In this paper, we attempt to solve two interrelated problems with robust domain adaptation:distribution shift across domains and sample noises of the source domain. To disentangle these challenges, an optimal transport approach with low-rank constraints is applied to guide the domain adaptation model training process to avoid noisy information influence. For the domain shift problem, the optimal transport mechanism can learn the joint data representations between the source and target domains using a measurement of discrepancy and preserve the discriminative information. The rank constraint on the transport matrix can help recover the corrupted subspace structures and eliminate the noise to some extent when dealing with corrupted source data. The solution to this relaxed and regularized optimal transport framework is a convex optimization problem that can be solved using the Augmented Lagrange Multiplier method, whose convergence can be mathematically proved. The effectiveness of the proposed method is evaluated through extensive experiments on both synthetic and real-world datasets.

Control of Halo-Chaos in Beam Transport Network via Neural Network Adaptation with Time-Delayed Feedback

Subject of the halo-chaos control in beam transport networks （channels） has become a key concerned issue for many important applications of high-current proton beam since 1990＇. In this paper, the magnetic field adaptive control based on the neural network with time-delayed feedback is proposed for suppressing beam halo-chaos in the beam transport network with periodic focusing channels. The envelope radius of high-current proton beam is controlled to reach the matched beam radius by suitably selecting the control structure and parameter of the neural network, adjusting the delayed-time and control coefficient of the neural network.

Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation

When multiphysics coupling calculations contain time-dependent Monte Carlo particle transport simulations, these simulations often account for the largest part of the calculation time, which is insufferable in certain important cases. This study proposes an adaptive strategy for automatically adjusting the sample size to fulfil more reasonable simulations. This is realized based on an extension of the Shannon entropy concept and is essentially different from the popular methods in timeindependent Monte Carlo particle transport simulations, such as controlling the sample size according to the relative error of a target tally or by experience. The results of the two models show that this strategy can yield almost similar results while significantly reducing the calculation time. Considering the efficiency, the sample size should not be increased blindly if the efficiency cannot be enhanced further. The strategy proposed herein satisfies this requirement.

Study of Adaptive Clothing in Hong Kong: Demands, Analysis and Future Direction

Aging population is substantively increased over last decade and they have specific clothing needs especially for the elderly with disabilities. Their clothing needs to cover functional and aesthetic requirements in order to improve their quality of life. Adaptive clothing is specially designed for the elderly and the disabled. However, there is no public policy to support such the elderly with disabilities in their clothing needs. In this paper, we aim to study the adaptive clothing and its significance, the problems encountered by the elderly with disabilities in adaptive clothing, analysis of public policy in Hong Kong for the elderly with disabilities in adaptive clothing over last decade, and implications and future directions for adaptive clothing in Hong Kong. In our findings, the demand of adaptive clothing in Hong Kong was substantially increased over last decade and the predicted demand will be twice of current demand after 50 years. However, the Government policy in Hong Kong has not yet fully supported their clothing needs, and the non-profit clothing services centre is set up to provide tailoring services to meet their needs. As the capacity of the centre is very limited, it is necessary to expand its capacity through assistive technology and to encourage non-government organizations (NGOs) to establish more social enterprises with Government’s support. Such findings would be beneficial to the Government for strengthening such services for the elderly and the disabled as well as public awareness.

Iterative Factors Favoring Collaboration for Interorganizational Resilience:The Case of the Greater Montréal Transportation Infrastructure

Between members of a network, interorganizational resilience is favored by effective collaboration and coordination during a crisis. The quality of that collaboration depends on various iterative factors present between these organizations before the occurrence of a crisis.We find that these factors are iterative since collaboration factors follow a mutually reinforcing cycle: collaboration within a crisis management network is conditioned by a general agreement, which is in turn conditioned by the extent to which the institutions coordinate themselves prior to crisis. We evaluated the factors that promote collaboration between public and private organizations that manage the Greater Montréal transportation infrastructure.These factors are based on adaptive management processes such as mutual agreements, common organizational culture, knowledge and financial resources, levers of power,regulations, and pressure. Crisis management coordination represents the ability to build and assess the effectiveness of common response plans to risks to which they are exposed. We show how these processes vary depending on the links between private and public organizations.

OFDM系统中基于跨层的TCP性能增强技术

针对高误码率及高中断率对无线TCP(Transport Control Protocol)的影响,提出了OFDM(Orthogonal Frequency Division Multiplexing)系统跨层TCP增强技术CLTCP(Cross-Layer TCP)。CLTCP利用链路级恢复和TCP冻结技术,提高了无线TCP性能;对于出错的无线帧,链路层能给予有限次的重传,以屏蔽TCP层对高误码率的感知;同时,为了保证出错帧在有限重传次数内被正确递交对端,链路层联合物理层采用自适应调制编码技术来提高重传帧的可靠性。对于无线链路长时间断连,CLTCP利用TCP源端冻结技术冻结RTO(Retransmission Time Out)值,以避免数据包连续超时造成的极大RTO,由此保证无线链路恢复连接后,TCP层能及时恢复工作。通过NS2(Network Semulation 2)软件仿真了多种无线TCP增强技术,并对仿真结果进行了比较和分析。仿真结果表明,CLTCP的吞吐量较Snoop技术最多可提升33%,并同时节省约38%的带宽。

Research on adaptive anti-rollover control of kiloton bridge transporting and laying vehicles

The SPMT construction method is a new rapid construction technology of large urban overpass with unblocked traffic,and unstability of SPMT construction method equipment cannot be accurately described due to the concrete beam size,irregular shape and complex transport conditions,which is called kiloton bridge transporting and laying vehicle.The anti-rollover performance of SPMT suspension system is studied,and vehicle side slip angle and load transfer rate(LTR) are regarded as the evaluation indexes.An active suspension adaptive anti-rollover control model of SPMT,in which roll stability affected by the structural parameters and control parameters,is built based on fuzzy PID,and the effectiveness of the control method is verified through real vehicle test.

Enhancing the terrain adaptability of a multirobot cooperative transportation system via novel connectors and optimized cooperative strategies

Given limited terrain adaptability,most existing multirobot cooperative transportation systems(MRCTSs)mainly work on flat pavements,restricting their outdoor applications.The connectors'finite deformation capability and the control strategies'limitations are primarily responsible for this phenomenon.This study proposes a novel MRCTS based on tracked mobile robots(TMRs)to improve terrain adaptability and expand the application scenarios of MRCTSs.In structure design,we develop a novel 6-degree-of-freedom passive adaptive connector to link multiple TMRs and the transported object(the communal payload).In addition,the connector is set with sensors to measure the position and orientation of the robot with respect to the object for feedback control.In the control strategy,we present a virtual leader-physical follower collaborative paradigm.The leader robot is imaginary to describe the movement of the entire system and manage the follower robots.All the TMRs in the system act as follower robots to transport the object cooperatively.Having divided the whole control structure into the leader robot level and the follower robot level,we convert the motion control of the two kinds of robots to trajectory tracking control problems and propose a novel double closed-loop kinematics control framework.Furthermore,a control law satisfying saturation constraints is derived to ensure transportation stability.An adaptive control algorithm processes the wheelbase uncertainty of the TMR.Finally,we develop a prototype of the TMR-based MRCTS for experiments.In the trajectory tracking experiment,the developed MRCTS with the proposed control scheme can converge to the reference trajectory in the presence of initial tracking errors in a finite time.In the outdoor experiment,the proposed MRCTS consisting of four TMRs can successfully transport a payload weighing 60 kg on an uneven road with the single TMR's maximum load limited to 15 kg.The experimental results demonstrate the effectiveness of the structural design and control strategies of the TMR-based MRCTS.

互联网使用对老年人社会适应的影响与作用机制

互联网使用对老年人的社会适应产生重要影响,但关于有何影响及如何影响的研究较少,且多数研究聚焦于互联网技术本身,忽视了作为技术使用主体的老年人的“能动性”。基于中国老年社会追踪调查(CLASS2018)数据,参考相关经典理论,发现相比不使用互联网的老年人,使用互联网的老年人的社会适应水平更高,老年人使用互联网的频率越高,其社会适应水平也越高。此外,在互联网使用对老年人社会适应产生影响的过程中,社会参与发挥着正向中介作用。因此,实现积极老龄化不仅需要鼓励老年人主动触网,促进老年人的数字融入、消除数字鸿沟,还要利用互联网不断增进老年人的社会参与。

内河航道事故黑点识别自适应参数DBSCAN聚类算法研究

内河水上交通事故时有发生,对水路运输安全、高效发展带来威胁。研究提出一种基于自适应参数的DBSCAN(Density-Based Spatial Clustering of Applications with Noise)方法,用于识别内河事故黑点水域。该方法支持对邻域半径ε和邻域中数据对象数目阈值P_(min)参数的自动选取,可提高聚类分析的精度和效率。基于2010—2019年长江干线下游散货船舶事故数据开展案例研究,对各典型事故黑点段的事故特征和事故原因进行分析,得到8个事故黑点。此外,采用Getis-Ord General G聚类识别事故黑点中的高等级事故区域,得到事故黑点及高等级事故主要分布于江心洲、桥区、港口码头区域。研究结果与实际情况基本吻合,一定程度上表明了该方法在内河水上交通事故分布特征分析上的科学性和实用性。

考虑海铁联运的集装箱码头泊位分配优化

在海铁联运背景下,协同考虑到港船舶及铁路班列特点,优化集装箱码头泊位分配,对于提高港口作业效率至关重要。在满足码头岸线、泊位水深、岸桥等资源约束前提下,综合考虑船舶服务优先级和偏好泊位、铁路集装箱班列到发时间等约束,以船舶在港停留时间和泊位偏移惩罚时间最小为优化目标,建立海铁联运集装箱码头泊位分配优化模型;针对模型特点,设计自适应遗传算法进行求解,选取计划周期48 h内的到港船舶数据进行案例分析,通过MATLAB数值实验,得到符合船舶服务优先级和泊位偏好要求且契合铁路班列开行计划的海铁联运码头泊位分配方案。数值实验结果表明:在海铁联运协同优化条件下,船舶平均等泊时间为2.9 min,最大等泊时间为11.4 min,同时船舶的靠泊位置与偏好泊位之间的距离均不超过100 m,船舶在港的停留时间及偏好泊位差都得到了较好的控制。研究可进一步优化海铁联运集装箱码头泊位分配方案,有利于提高海铁联运集装箱在港转运效率。

基于物联网的交通信号灯控制系统

随着城市化进程的不断加速,交通拥堵问题成为制约城市可持续发展的一大挑战。在智能交通系统中,交通信号灯作为关键组成部分,对道路交通的管理和优化发挥着至关重要的作用。为提高交通效率、减少交通拥堵,文章探讨了基于物联网的智能交通信号灯控制系统。首先,介绍了交通信号灯的系统组成。其次,针对交通信号灯控制的优化需求,提出一种基于物联网的自适应控制算法。最后,构建了交通信号灯仿真界面,并设计了交互控制按钮。实验结果表明,所提出的自适应控制算法能够有效提升道路通行效率,降低交通拥堵程度,为智能交通系统的进一步优化与发展提供了重要参考。