Multi-scale traffic vehicle detection based on faster R-CNN with NAS optimization and feature enrichment

It well known that vehicle detection is an important component of the field of object detection. However, the environment of vehicle detection is particularly sophisticated in practical processes. It is compara-tively difficult to detect vehicles of various scales in traffic scene images, because the vehicles partially obscured by green belts, roadblocks or other vehicles, as well as influence of some low illumination weather. In this paper, we present a model based on Faster R-CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle targets in traffic scenes. First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted Neural Architecture Search (NAS) on the backbone network used for feature extraction of Faster R-CNN to generate the optimal cross-layer connection to extract multi-layer features more effectively. Third, we used the object Feature Enrichment that combines the multi-layer feature information and the context information of the last layer after cross-layer connection to enrich the information of vehicle targets, and improve the robustness of the model for challenging targets such as small scale and severe occlusion. In the imple-mentation of the model, K-means clustering algorithm was used to select the suitable anchor size for our dataset to improve the convergence speed of the model. Our model has been trained and tested on the UN-DETRAC dataset, and the obtained results indicate that our method has art-of-state detection performance.     

自航式鱼雷发射装置发射管长度优化研究

基于某型鱼雷自航发射的内弹道数学模型,选择自航管的总长度作为优化目标,讨论了约束函数的取值,确定了优化问题的数学表达.采用惩罚函数法进行寻优计算,针对约束函数具有不可微和非线性的特点,采用模式搜索算法进行了无约束优化的求解,给出了优化结果并进行了比较.     

Coordinated scheduling of customer orders for quick response

The scheduling problem addressed in this paper concerns a manufacturer who produces a variety of product types and operates in a make‐to‐order environment. Each customer order consists of known quantities of the different product types, and must be delivered as a single shipment. Periodically the manufacturer schedules the accumulated and unscheduled customer orders. Instances of this problem occur across industries in manufacturing as well as in service environments. In this paper we show that the problem of minimizing the weighted sum of customer order delivery times is unary NP‐hard. We characterize the optimal schedule, solve several special cases of the problem, derive tight lower bounds, and propose several heuristic solutions. We report the results of a set of computational experiments to evaluate the lower bounding procedures and the heuristics, and to determine optimal solutions. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.     

消防行政即时强制研究

消防行政即时强制是消防行政强制的一种,由于其适用的目的和程序与消防行政强制执行不同而具有特殊性。对消防行政即时强制的法律性质、实施条件、手段、救济等问题进行了初步探讨。     

海洋移动目标多模型运动预测方法

分析海洋移动目标的运动特征,提出了预测前插值的灰色预测方法,改进了航迹变更预测和潜在区域预测模型。通过集成匀速运动预测、航迹变更预测、基于航迹的预测和潜在区域预测,提出多模型运动预测方法及其模型参数配置依据,根据滑动时间窗口中的观测数据与预测值的统计比较,评价不同预测方法的近期预测效果,决策下阶段适宜选择的预测方法。仿真实验表明多模型运动预测比使用单一运动预测方法降低预测风险,提高了预测精度。     

驱护舰编队对潜防御性搜索态势分析与方法

针对驱护舰武器装备的发展,结合驱护舰编队海上对潜防御作战的新特点,根据特定驱护舰编队的使命任务,提出了特定驱护舰编队对潜进攻性搜索与防御性搜索的新概念,并在战斗战场范围内对特定驱护舰编队对潜防御性搜索态势进行了分析,给出了编队对潜防御性搜索方法.对部队作战与训练具有一定的参考应用价值.     

Heuristics for the location of inspection stations on a network

This article considers the preventive flow interception problem (FIP) on a network. Given a directed network with known origin‐destination path flows, each generating a certain amount of risk, the preventive FIP consists of optimally locating m facilities on the network in order to maximize the total risk reduction. A greedy search heuristic as well as several variants of an ascent search heuristic and of a tabu search heuristic are presented for the FIP. Computational results indicate that the best versions of the latter heuristics consistently produce optimal or near optimal solutions on test problems. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 287–303, 2000     

一种基于目标的雷达对抗侦察策略

传统的电子战接收系统的搜索方式主要针对参数完全未知的敌方信号,通过在频域、空域等各维度进行大范围的逐段重复搜索可在较长时间内获得较好的侦察效果,但不适合短时间内对特定目标群的搜索和验证。针对电子战接收机存在的盲目侦察接收、与作战目标结合不紧密等问题,提出了一种基于作战目标的侦察策略,能够智能引导超外差接收机进行搜索截获,有效提升了超外差接收机对重点目标的实时截获与准确识别能力。     

VNS和SA相结合的指挥控制资源部署

针对指挥控制资源部署问题,引入任务复杂度来定义决策实体的工作负载,并建立以最小化决策实体工作负载的均方根为目标的优化模型。针对传统的层次聚类法容易陷入局部最优,提出了一种变邻域搜索(Variable Neighborhood Search,VNS)和模拟退火(Simulated Annealing,SA)相结合的具有全局性的求解方法,使用VNS进行全局寻优,使用SA对VNS中的邻域进行局部寻优。最后通过一个联合作战案例的平台调度方案,验证了所提方法的优越性。     

自适应两步滤波算法在机载IRSTS被动定位中的应用

在机载红外搜索跟踪系统被动定位研究中,针对扩展卡尔曼滤波算法要求先验的噪声统计及存在系统观测模型线性化误差影响滤波精度的特点,利用两步滤波算法并结合Sage-Husa噪声估计器构建了适用于机载IRSTS被动定位特点的自适应两步滤波算法模型,算法不仅实时在线地估计了观测噪声的统计特性,而且避免了观测模型线性化误差.仿真结果表明,在完全相同的初始条件下,自适应两步滤波算法对目标运动参数的估计结果明显优于扩展卡尔曼滤波,从而提高了机载IRSTS被动定位的精度.