Adaptive Multi-Objective Optimization of Bionic Shoulder Joint Based on Particle Swarm Optimization

To get the movement mode and driving mechanism similar to human shoulder joint, a six degrees of freedom (DOF) serial-parallel bionic shoulder joint mechanism driven by pneumatic muscle actuators (PMAs) was designed. However, the structural parameters of the shoulder joint will affect various performances of the mechanism. To obtain the optimal structure parameters, the particle swarm optimization (PSO) was used. Besides, the mathematical expressions of indexes of rotation ranges, maximum bearing torque, discrete dexterity and muscle shrinkage of the bionic shoulder joint were established respectively to represent its many-sided characteristics. And the multi-objective optimization problem was transformed into a single-objective optimization problem by using the weighted-sum method. The normalization method and adaptive-weight method were used to determine each optimization index’s weight coefficient; then the particle swarm optimization was used to optimize the integrated objective function of the bionic shoulder joint and the optimal solution was obtained. Compared with the average optimization generations and the optimal target values of many experiments, using adaptive-weight method to adjust weights of integrated objective function is better than using normalization method, which validates superiority of the adaptive-weight method.     

Multi-Band Hybrid Mobile Phone Antenna Based on Electromagnetic Coupling

This research presents a multi-band hybrid mobile phone antenna based on electromagnetic coupling,which can be applied to mobile handheld devices, occupying a small board space of 39.7 mm × 15.6 mm on the system circuit board. By adding resonant and coupled branch instead of multi-feed on the traditional bent antenna,this design provides four wide operating bands of 0.772—0.998 GHz, 1.540—1.600 GHz, 1.680—2.270 GHz and2.300—2.690 GHz with the hybrid feature of planar inverted-F antenna(PIFA), L-shape, U-shape and S-shape structures, which cover nine-band, i.e., GSM850, GSM900, GPS1575, DCS1800, PCS1900, IMT200, LTE2300,LTE2600 and Blue Tooth/Wi-Fi. Ansoft software HFSS is used in this research to make the antenna performance better and the operating principle of the proposed antenna is described in detail. Result of simulation reveals that the maximum gains of these four wide bands are 2.20,-0.99, 4.01 and 4.05 dBi, respectively. Moreover, this research also tests the return loss(S11) of the fabricated antenna with the vector network analyzer and the result is in accordance with the simulation result on the whole. There are four wide resonant frequencies which cover nine-band of wireless wide area network(WWAN), wireless local area network(WLAN) and long term evolution(LTE), when the available bandwidth is better than 6 d Bi return loss.     

城市交通治理的内涵和目标研究

城市交通治理是提升国家及城市治理能力的战略需求和重要抓手。研究面向交通服务多元主体新型关系的城市交通治理现代化理论,是提升交通服务共建、共享、共治水平的新要求和新趋势。通过梳理公共治理一般理论以及国家治理、社会治理、城市治理等相关领域治理研究的基础,从中国城市交通治理的现实需求出发,提出城市交通治理的基本内涵与技术支撑要求。围绕服务于人的需求,组织城市高效、安全、低耗可持续运行的城市交通总体目标,在以城市群为主体形态背景下,制定差异化、阶段性城市交通治理目标。     

城市跨江轨道交通对居住用地分化的影响——以湖北省武汉市为例

在当前城市交通系统建设中,城市跨江轨道交通建设对城市居住用地分化产生极大影响。利用结构方程模型,对武汉市跨长江地铁线路——2号线金银潭站、范湖站、积玉桥站3个典型车站的土地利用格局进行度量,并结合现状予以分析。研究结果表明:城市跨江轨道交通的开通使长江两岸交通互通性得以提升,进而引发高档住宅在城市跨江轨道交通沿线的集聚效应;城市跨江轨道交通的开通使沿线地价上涨、土地利用效率提升、土地利用格局变化,在商业服务、居住用地格局升级的同时,受市场杠杆的调节作用影响居住用地形成圈层式居住等级变化。     

广州市低碳交通发展策略研究

交通是碳排放增长的主要来源。为探索广州市交通领域的达峰路径,通过自下而上的清单核算方法,按照GPC标准核算出广州市交通领域碳排放清单。惯性情景分析结果表明,2020年交通碳排放不但不会达峰,还将进一步提高;根据广州市近期城市交通重要实施方案的定量评估设定干预情景,其减碳效果比惯性情景减少892万t。最后,提出广州市"十三五"期间应在三个方面实施低碳交通发展策略:聚焦城市客运方式转移,关注货运组织优化,推进国家多式联运基础设施建设。     

基于IC卡数据的武汉市轨道交通客流时空特征

为了精准评估武汉市轨道交通运行现状、科学辅助编制轨道交通线网规划与建设规划、探寻运营组织中的潜在问题,通过对全市公共交通IC卡记录以及地理信息数据的融合与挖掘,从全网、走廊、断面等方面量化分析轨道交通发展历程和客流时空分布特征。在此基础上建立职住辨识模型,用于获取典型居住和就业区域的空间分布信息。基于此分析通勤群体的出行时间、距离、范围、方向不均衡性以及换乘等特征,并通过群体出行规律分析城市空间布局。最后对城市轨道交通发展提出建议:建立多样化运营模式,大力发展公共交通一体化换乘,注重轨道交通沿线土地开发利用和配套设施建设,加强各行政区协同发展和鼓励就近就业等。     

Research on Spatially Adaptive High-Order Total Variation Model for Weak Fluorescence Image Restoration

Photoacoustic imaging acquires the absorption contrast of biological tissue with ultrasound resolution. It has been broadly investigated in biomedicine for animal and clinical studies. Recently, a micro-electro-mechanical system (MEMS) scanner has been utilized in photoacoustic imaging systems to enhance their performance and extend the realm of applications. The review provides a recap of recent developments in photoacoustic imaging using MEMS scanner, from instrumentation to applications. The topics include the design of MEMS scanner, its use in photoacoustic microscopy, miniature imaging probes, development of dual-modality systems, as well as cutting-edge bio-imaging studies.     

Full Duplex Communications for Next Generation Cellular Networks: The Capacity Gain

Full duplex communication highly improves spectrum efficiency of a wireless communication link. However, when it is applied to a cellular network, the capacity gain from this technology remains unknown. The reason is that full duplex communication changes the aggregate interference experienced by each communication link in cellular networks. In this paper, the capacity gain from full duplex communication is studied for cellular networks of 4G and beyond, where the same frequency channel is adopted in each cell. A two-layer Poisson point process (PPP) is adopted to model the network topology, and stochastic geometry is employed to derive the coverage probability and the average capacity of typical link in a cellular network. On the basis of these derived parameters, the capacity gain from full duplex communication is determined. Numerical results reveal that without mutual interference cancellation (MIC), the capacity gain is small under various power levels; with perfect MIC at base stations, the capacity gain can exceed 60%; with imperfect MIC at base stations, the capacity gain decreases quickly even with a slight drop of MIC performance.     

新冠肺炎交通防控政策对长沙市人口流动的影响

为探究新冠肺炎疫情下交通防控政策对长沙市人口流动的影响,本文根据长沙市在新冠 肺炎疫情期间颁布的交通防控政策和疫情实时防控情况划分防控阶段,基于百度迁徙大数据,利 用双重差分模型,识别长沙市不同阶段的交通防控政策以及量化防控效果,分析交通防控政策对 长沙市人口流动的影响。结果显示,长沙市在交通管制阶段,平均人口迁出强度、平均人口迁入 强度及城市内部出行强度分别下降了83.68%、69.24%及59.74%,有效地控制了人口流动,降低了 疫情扩散危险。在交通恢复阶段,长沙市人口流动强度逐渐反弹,城市内部出行强度基本恢复到 2019年同期水平。本文研究结果显示了交通管制对疫情扩散限制的有效性,为常态化疫情防控 下精准防控政策和复工复产政策制定提供参考。