基于ROAD的租车订购系统业务流程建模

基于业务架构为中心的企业架构开发思路,采用开放组架构框架(TOGAF)业务架构ACF元模型的划分,提出了一种ROAD架构迭代建模方法。针对目前ROAD元架构中业务活动模型采用IDEF0的活动模型导致的面向场景业务能力的不足,文中通过使用BPMN模型来覆盖IDEF0的活动建模,避免在描述复杂的业务过程时可能存在的局限性,并且更好地捕捉和表示所有的细节和关系,不会使得模型过于抽象。从而实现面向场景的系统建模和管理,提高业务架构设计的效率和精度。最后,文章中以旅游出行租车订购系统为例的方法,采用ROAD元架构方法建立场景化业务架构模型组,并对其进行讨论和改进,为现有架构体系提供一种面向场景的扩展思路。

Toxicity Evaluation of Different Exposure Scenarios of Road Dust Using Daphnia magna and Artemia salina as Aquatic Organisms, and Prosopis cineraria and Vachellia tortilis as Native Plant Species

Particulate matter (PM10) deposited as road dust is considered an important source of contamination from atmosphere. However, there are limited studies on the toxicity of road dust as such on different organisms. This study evaluates the toxicity of road dust using different extraction scenarios on Daphnia magna and Artemia salina as aquatic organisms and also on Prosopis cineraria and Vachellia tortilis as local plant species. Chemical analysis of different extracts shows considerable amount of trace metals, however the trace metals in the dust extract associated with suspended sediment were not absorbed by the receptors. On the other hand, the concentration of trace metals in the artificial mixture was found bioavailable and absorbed causing a high percentage of mortality. In the plant assay, significant difference was obtained in the germination percentage between the control and three different extraction exposures in both plant species. The mean root length of P. cineraria and V. tortilis were higher in 20% and 50% extracts than the control probably due to the availability of nutrients from the dust extract. Interestingly however, the seedling vigor index was the opposite with higher index in the control and lower in dust extracts that contain heavy metals.

Exploring the Factors Associated with 12-Month Non-Return to Work among Motorcyclists Involved in Road Accidents

Introduction: Motorcyclists bear a disproportionate burden of morbidity and mortality from road accidents. In addition, the consequences of these accidents affect the ability of victims to return to work. This study aimed to determine the prevalence and factors associated with non-return to work among surviving motorcyclists involved in road accidents 12 months after the event. Materials and Methods: It was a cross-sectional study conducted using data from a cohort of motorcyclists involved in accidents and recruited in five hospitals in Benin from July 2019 to January 2020. The dependent variable was non-return to work 12 months after the accident (yes vs no). The independent variables were categorized into two groups: baseline and 12-month follow-up variables. Logistic regression was used to determine the factors associated with non-return to work at 12 months among the participants. Results: Among the 362 participants, 55 (15.19%, 95% CI = 11.84 - 19.29) had not returned to work 12 months after the accident. Risk factors for non-return to work identified were: smoking (aOR = 4.41, 95% CI = 1.44 - 13.56, p = 0.010), hospitalization (aOR = 2.87, 95% CI = 1.14 - 7.24, p Conclusion: The prevalence of non-return to work at 12 months was high among surviving motorcyclists involved in road accidents in Benin. Integrated support for patients based on identified risk factors should effectively improve their return to work.

The Value of Rural Access Roads: The Case Study of Chepyuk and Mitira Wards in Bungoma and Kirinyaga Counties

In this paper we assess the impact of road network on rural regions development using a case study of Chepyuk and Mitira wards. The two case study areas were selected owing to their comparable agro ecological conditions but different political orientation. The wards have identical agro economic activities due to their similarity in climatic and ecological conditions. Household incomes earned from agricultural enterprises and bid rent per unit area of land are used as indicators of development. The condition of road network is used as an indicator of accessing the rural regions in various seasons of the year. The study provides evidence of the economic advantages associated with better market access, primarily due to the good road infrastructure in Mitira compared to Chepyuk. The good road condition is advantageous to Mitira ward residents allowing them to access other markets hence improving the farm gate value of their products. On the other hand, the prices for Chepyuk products are cheap due to constrained market access necessitated by the poor road condition. For instance, the average price of a liter of milk in Chepyuk ward is Kshs.36.65 compared to Mitira where it goes at Kh.55.08. It therefore implies in Chepyuk milk has to be sold at lower price since access to alternative markets is constrained by poor road condition. The disparity in the road network quality has been occasioned by investment policy by both colonial and consecutive post-independence governments which have given preference to the region where Mitira region is located. This is against the constitutional requirement which proposes an equalization fund for infrastructure development to regions lagging behind in terms of development.

Efficient Vision Transformers for Autonomous Off-Road Perception Systems

The development of autonomous vehicles has become one of the greatest research endeavors in recent years. These vehicles rely on many complex systems working in tandem to make decisions. For practical use and safety reasons, these systems must not only be accurate, but also quickly detect changes in the surrounding environment. In autonomous vehicle research, the environment perception system is one of the key components of development. Environment perception systems allow the vehicle to understand its surroundings. This is done by using cameras, light detection and ranging (LiDAR), with other sensor systems and modalities. Deep learning computer vision algorithms have been shown to be the strongest tool for translating camera data into accurate and safe traversability decisions regarding the environment surrounding a vehicle. In order for a vehicle to safely traverse an area in real time, these computer vision algorithms must be accurate and have low latency. While much research has studied autonomous driving for traversing well-structured urban environments, limited research exists evaluating perception system improvements in off-road settings. This research aims to investigate the adaptability of several existing deep-learning architectures for semantic segmentation in off-road environments. Previous studies of two Convolutional Neural Network (CNN) architectures are included for comparison with new evaluation of Vision Transformer (ViT) architectures for semantic segmentation. Our results demonstrate viability of ViT architectures for off-road perception systems, having a strong segmentation accuracy, lower inference speed and memory footprint compared to previous results with CNN architectures.

Otorhinolaryngological (ORL) and Cervicofacial Injuries Resulting from Road Accidents within the Otorhinolaryngology (ORL) Department of the Regional Hospital of Mamou

Introduction: Otorhinolaryngological (ORL) and cervicofacial traumas encompass injuries affecting the neck, face, and ORL region, resulting from external influence. The objective of this study was to conduct an epidemiological and clinical analysis of ORL and cervicofacial injuries observed in victims of road accidents treated at the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. Materials and Methods: This prospective and descriptive study was conducted over a period of 12 months, from January 1st to December 31st, 2021, within the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. It included patients hospitalized for ORL and/or cervicofacial traumas resulting from road accidents during the study period. Results: A total of 348 cases were included, representing 36.22% of all traumas related to road accidents (AVP) within the Regional Hospital of Mamou. The average age of the patients was 26.44 years, with a sex ratio of 3.83, favoring males. The dominant socio-professional category was students, encompassing 32.47% of cases. Road accidents were mainly associated with motorcycle use (31.32% motorcycle-to-motorcycle, 24.43% motorcycle skidding, 13.51% motorcycle-pedestrian). Facial region injuries were the most common, accounting for 69.03% of cases, followed by rhinological injuries (17.28%) and otological injuries (13.69%). Associated injuries were predominantly closed head traumas (52.55%) and lower limb fractures (20.41%). Imaging was underutilized. Regarding surgical interventions, reconstructive surgery was the most predominant, accounting for 52.51% of cases, with a management timeframe of 30 minutes to 12 hours for 99.72% of patients. Conclusion: Road traffic accidents remain a serious public health issue, primarily affecting young males. Emphasis should be placed on road safety measures to reduce the frequency of these accidents.

基于ROADS的面向场景业务架构建模方法

ROAD元架构通过业务架构指导整个企业架构体系开发过程,是一组简单明确且高效的模型表达。针对已有的元架构体系中业务活动模型所采用的IDEF0图存在对多组件系统之间丰富的活动触发序列和信息交互场景描述能力不足的问题,提出在ROAD元架构基础上引入场景模型,与原来基于IDEF0的活动模型融合成为面向场景的活动模型,同时具备层次化描述能力和场景化时序表达能力。扩展后的ROADS元架构保留原架构的整体性和灵活性,且补充面向场景的系统建模能力,实现业务架构设计中的场景管理。最后以一个情景化外语教学系统为例,使用ROADS元架构方法建立场景化业务架构模型组,并对其进行讨论,为现有架构体系提供一种面向场景的扩展思路。

基于ROAD元架构的业务层架构可执行建模方法

本文基于ROAD元架构静态模型在仿真和模拟上的需求,在保留全部必要信息的前提下,以IDEF1x数据模型作为转化起点,对可执行CPN模型进行语义映射探索。以业务数据模型中的实体及其间关系为主体,业务组织模型、业务活动模型和业务规则模型作为补充,确定仿真对象范围,并提出TOGAF业务层架构到可执行CPN模型的转化六规则,借此实现TOGAF业务架构层的可执行仿真。

基于路用性能的热再生沥青混合料RAP掺量研究

为解决沥青路面热再生技术中RAP掺量受限,提高沥青混合料再生利用效益,对热再生沥青混合料的RAP掺量开展了研究。首先,从试验材料的性能测试着手,严格控制试验材料的质量,对7种不同RAP掺量下再生沥青混合料进行详细的配合比设计;然后通过高温车辙试验、浸水马歇尔试验、冻融劈裂试验、小梁低温弯曲试验和间接拉伸疲劳试验,综合测试不同RAP掺量下AC-20型再生沥青混合料的高温稳定性、水稳定性、低温抗裂性和疲劳耐久性等4类路用性能;最后,采用灰色关联度分析方法,确定了RAP掺量与路用性能评价指标之间的关联程度。结果表明:(1)随着RAP掺量的增加,再生沥青混合料的高温性能逐渐提高,水稳、低温和疲劳性能逐渐下降,并且其高温、低温和水稳性能的评价指标均在30%~40%的RAP掺量范围内加速变化,而疲劳性能的评价指标在40%~50%RAP掺量范围内加速变化;(2)灰色关联度分析显示RAP掺量与再生沥青混合料的动稳定度联系最为紧密,因此其高温性能对RAP掺量变化最为敏感;(3)根据再生沥青混合料路用性能评价指标与RAP掺量的灰色关联度分析结果,并结合路用性能随RAP掺量增加的变化规律以及沥青路面结构层功能,综合确定本批AC-20型再生沥青混合料中RAP合理掺量范围为35%~40%。

恒定市场份额三层次两极均化模型及其应用——我国对“一带一路”沿线国家农产品出口增长的驱动因素及其贡献率分析

恒定市场份额(CMS)三层次两极均化模型将微观层面的商品价格、数量、种类,中观层面的国别、产业结构,与宏观层面的市场份额和需求规模有机结合起来,系统刻画出口波动的直接因素。基于该模型,本文从总体、动态、区域、产业4个维度逐层解析2002—2021年我国对“一带一路”沿线国家农产品出口增长的驱动因素及其贡献率。结果表明,进口需求效应占据主导地位,需求数量和价格水平增长均有显著贡献,虽然出口竞争力效应总体表现不佳,但是品类竞争力和质量竞争力均小幅改善。“一带一路”倡议提出后,出口竞争力效应显著增长,特别是数量竞争力效应大幅改善。研究还表明,上述效应在不同产业和区域既存在共性特征,也具有一定程度差异性。相对于CMS两层次分解框架,CMS三层次两极均化模型的研究内容更加丰富,经济学含义更加清晰,政策启示更加明确,具有更广泛的应用价值。

考虑充放储一体站与电动汽车互动的主从博弈优化调度策略

针对大规模电动汽车(electrical vehicle,EV)接入微电网造成的负荷压力,提出一种考虑充放储一体站(charging-discharging-storage integrated station,CDSIS)与EV互动的主从博弈优化调度策略。首先,通过建立CDSIS模型,并针对CDSIS多场景进行分段设置。其次,建立动态路网模型并结合EV出行特性,预测城市区域路网约束下的EV充电负荷时空分布。并根据预测结果建立EV及CDSIS多目标主从博弈优化调度模型,对EV用户、CDSIS收益进行多目标协调。最后,以某城市主城区域部分交通路网结合IEEE33节点配电系统进行仿真,分析电价与CDSIS储能设备容量对城市区域内EV用户和CDSIS站收益的影响。结果表明,所提主从博弈模型与调度策略能够使得EV用户与CDSIS双方得到最大收益。

“公转铁”政策对京津冀绿色物流效率的影响

为落实绿色发展理念,促进京津冀物流业高质量发展,有效发挥“公转铁”政策对绿色物流效率的提升效应,在系统梳理“公转铁”政策促进绿色物流效率理论机制的基础上,用2010—2020年京津冀地区面板数据,通过双重差分模型、广义双重差分模型和中介效应模型,研究“公转铁”政策对绿色物流效率的促进效应以及作用机制。研究发现,“公转铁”政策在京津冀地区的实施对提升绿色物流效率具有显著的促进效应,并且该效应在经过稳健性检验后依旧成立;政策实施力度对绿色物流效率存在显著的影响,绿色物流效率随着政策实施力度增强而不断提升;“公转铁”政策通过改变物流企业的运输方式偏好,增强铁路运输对公路运输的替代作用,提升绿色物流效率;绿色物流效率提升还受到铁路设施水平、区域建设水平、经济水平、创新能力等多种因素的影响。因此,京津冀绿色物流效率提升,应该考虑多种因素的综合影响,以多层次和系统性支撑政策推动“公转铁”政策的实施;以改变承担社会物流活动企业运输偏好为导向;充分考虑当地内外部环境,结合产业结构、创新能力等因素调整“公转铁”政策实施力度。

图像引导和点云空间约束的公路洒落物检测定位方法

公路洒落物是影响交通安全的重要因素之一,为了解决中小尺度公路洒落物检测中的漏检、误检以及难以定位等问题,本文提出了一种图像引导和点云空间约束的公路洒落物检测定位方法。该方法使用改进的YOLOv7-OD网络处理图像数据获取二维目标预测框信息,将目标预测框投影到激光雷达坐标系下得到锥形感兴趣区域(region of interest,ROI)。在ROI区域内的点云空间约束下,联合点云聚类和点云生成算法获得不同尺度的洒落物在三维空间中的检测定位结果。实验表明:改进的YOLOv7-OD网络在中尺度目标上的召回率和平均精度分别为85.4%和82.0%,相比YOLOv7网络分别提升6.6和8.0个百分点;在小尺度目标上的召回率和平均精度分别为66.8%和57.3%,均提升5.3个百分点;洒落物定位方面,对于距离检测车辆30~40 m处的目标,深度定位误差为0.19 m,角度定位误差为0.082°,实现了多尺度公路洒落物的检测和定位。

环境产品贸易网络的结构特征及演进机制——基于共建“一带一路”国家的实证

加强环境产品贸易合作是推进区域绿色发展的重要途径。该研究基于社会网络分析视角,利用2000—2020年共建“一带一路”国家的54种环境产品贸易数据构建环境产品贸易网络,采用时间指数随机图模型(TERGM),探究区域环境产品贸易网络结构特征及其演化机制。研究发现:①样本区间内,环境产品贸易网络密度和平均聚类系数总体呈上升趋势,平均路径长度缩减,网络直径较短,但是受疫情影响,2020年网络特征指标数值明显下降。②意大利、中国、韩国和新加坡的点出度与点入度排名位于前列,在贸易网络中发挥“桥梁”与“枢纽”作用。中国后来居上,成为点出度与点入度最高的国家,引领区域环境产品贸易发展。③欧洲与亚洲是环境产品贸易网络中贸易合作最密集的两个地区,非洲、拉丁美洲地区的共建“一带一路”国家具有较少的环境产品贸易关系,且源自板块外进口关系数显著多于出口关系数。④TERGM分析表明,环境产品贸易网络存在显著的互惠性、连通性、稳定性和变异性。工业增加值、经济自由度和绿色创新存在发送效应和接收效应,人均GDP、环境规制存在发送效应。地理距离不利于形成环境产品贸易合作。⑤环境保护型产品、可再生能源产品、环境监测分析与评价设备贸易网络的形成和演化具有异质性。基于该结论,从引领区域绿色低碳发展、因地制宜深化环保产业合作、加快环保产业转型升级等方面,提出了深化和拓展“一带一路”环境产品贸易关系的对策建议。

不同纤维增韧环氧沥青混合料性能

为探究不同种类纤维(玄武岩纤维、玻璃纤维和聚酯纤维)对环氧沥青混合料抗开裂和耐疲劳性能的提升效果,在混合料配比设计的基础上,采用车辙试验、低温小梁试验、浸水马歇尔试验以及冻融劈裂试验等对其进行路用性能测试。通过冲击试验,探究纤维对环氧沥青混合料的三种增韧效果:在环氧沥青混合料中添加纤维可以不同程度提高其路用性能;低温性能再加入纤维后,提升效果较为明显;添加玄武岩纤维路用性能优于玻璃纤维和聚酯纤维。

“一带一路”倡议下中国企业对外投资的增长路径

本文使用中国企业对外投资数据,将对外投资总量分解为集约边际与扩展边际,以“一带一路”倡议为准自然实验,解释了中国企业在沿线国家投资增长的路径。研究发现:集约边际和扩展边际均是“一带一路”倡议促进中国企业在沿线国家投资总量增长的路径;从投资方式看,跨国并购的集约边际增长强于绿地投资,扩展边际增长弱于绿地投资;从投资方向看,对顺梯度国家的投资二元边际增长具有显著正向作用,但对逆梯度国家作用相反;从行业类别看,交通与能源行业的对外投资二元边际增长的提高作用更优。机制检验表明,增强中国企业对外投资增长的稳定性应进一步提高“一带一路”倡议互联互通建设对扩展边际的促进作用。

“一带一路”共建国家间的技术扩散——基于技术内容与网络结构的分析

技术扩散是强化国际经济与创新联系的有效途径,是构建高质量开放创新体系的重要方式。国际技术扩散作为两个主体间的技术扩散活动具有方向性,不同国家的创新政策和技术发展战略侧重点不同,在技术扩散能力和技术吸收能力上均有差异。因而国家间需要构建高效、稳定的技术扩散网络,充分发挥自身的技术优势、补齐技术短板,进一步加大技术流动和增强创新能力。本研究基于技术扩散理论,运用专利引证数据构建“一带一路”共建国家间技术扩散网络,分时段纵向分析共建国家技术扩散网络的演化,分技术领域横向分析共建国家间技术扩散的特征,探索中国与共建国家间技术扩散的内容和路径。研究认为:中国在共建国家技术扩散网络中的核心地位逐步确立,且在“一带一路”倡议提出后中国的核心位置更加明显、技术扩散范围更加广泛;但整体技术扩散网络密度低,除中国外的其他国家间技术扩散关系构建较少;不同技术领域的技术扩散网络形态各有不同,其中化学技术领域的技术扩散最活跃、网络复杂度最高;俄罗斯在化学、机械工程、仪器、其他技术领域具有一定技术优势,并且对中国的技术扩散强度很大,而中国在电气工程技术领域更有技术扩散优势。

考虑侧向刚柔边界约束的黄土填方路基沉降计算方法

提出一种新的考虑刚柔边界约束和侧向变形的黄土填方路基沉降计算方法。基于自主研发的三向加载设备和室内压缩试验,分析不同竖向加载方式和不同侧向约束对土体竖向及侧向变形的影响,提出考虑土体压实度和围压的边界影响系数,建立压实黄土侧向应变模型,给出考虑刚柔边界条件和侧向变形的黄土路基沉降计算方法。研究结果表明:边界影响系数与路基压实度和围压都呈正相关,且刚柔约束边界对黄土压缩性指标的影响程度最高能达到40%。提出的竖向和三向边界影响系数综合考虑了路基压实度、侧向围压以及边界条件的影响。利用工程实例验证了新模型计算方法的准确性和实用性,提高了传统分层总和法的精度。

改进YOLOv7的复杂道路场景目标检测算法

虽然基于深度学习的目标检测算法在道路场景中的目标检测方面已经取得了很好的效果,但是对于复杂道路场景中的密集目标,远处的小尺度目标检测精度低,容易出现漏检误检的问题,提出一种改进YOLOv7的复杂道路场景目标检测算法。增加小目标检测层,增加对小目标的特征学习能力;采用K-means++重聚类先验框,使得先验框更贴合目标,增加网络对目标的定位精度;采用WIoU(Wise-IoU)损失函数,增加网络对普通质量锚框的关注度,提高网络对目标的定位能力;在颈部和检测头引入协调坐标卷积(CoordConv),使网络能够更好地感受特征图中的位置信息;提出P-ELAN结构对骨干网络进行轻量化处理,降低算法参数量和运算量。实验结果表明,该改进算法在华为SODA10M数据集下的mAP达到64.8%,比原算法提高2.6个百分点,模型参数量和运算量分别降低12%和7%,达到检测精度和检测速度的平衡。

新时代“情报学+”数智化人才的培育理路

[目的/意义]数智化时代背景下,更要求情报学学科融入新时代,积极探索数智化人才培育路径。[研究设计/方法]从认知到应用全方位策划“情报学+”数智化人才的培育理路,明晰育人体系,重点描述人才核心素养模型的搭建以及对人才培育路径的思考,展现情报学育人的本土化、特色化、智慧化。[结论/发现]情报学学科未来应致力于培育服务新时代各工作领域和研究情境的复合应用型情报学人才,不断探索更完整的人才培育闭环。[创新/价值]以中国哲学思想赋能新时代情报人才培育的理论遵循和实践路径,体现哲学思想现实价值的同时,为情报学学科的未来发展提供参考。