A Simple and Effective Surface Defect Detection Method of Power Line Insulators for Difficult Small Objects

Insulator defect detection plays a vital role in maintaining the secure operation of power systems.To address the issues of the difficulty of detecting small objects and missing objects due to the small scale,variable scale,and fuzzy edge morphology of insulator defects,we construct an insulator dataset with 1600 samples containing flashovers and breakages.Then a simple and effective surface defect detection method of power line insulators for difficult small objects is proposed.Firstly,a high-resolution featuremap is introduced and a small object prediction layer is added so that the model can detect tiny objects.Secondly,a simplified adaptive spatial feature fusion(SASFF)module is introduced to perform cross-scale spatial fusion to improve adaptability to variable multi-scale features.Finally,we propose an enhanced deformable attention mechanism(EDAM)module.By integrating a gating activation function,the model is further inspired to learn a small number of critical sampling points near reference points.And the module can improve the perception of object morphology.The experimental results indicate that concerning the dataset of flashover and breakage defects,this method improves the performance of YOLOv5,YOLOv7,and YOLOv8.In practical application,it can simply and effectively improve the precision of power line insulator defect detection and reduce missing detection for difficult small objects.

A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme

Unmanned aerial vehicles(UAVs) have gained significant attention in practical applications, especially the low-altitude aerial(LAA) object detection imposes stringent requirements on recognition accuracy and computational resources. In this paper, the LAA images-oriented tensor decomposition and knowledge distillation-based network(TDKD-Net) is proposed,where the TT-format TD(tensor decomposition) and equalweighted response-based KD(knowledge distillation) methods are designed to minimize redundant parameters while ensuring comparable performance. Moreover, some robust network structures are developed, including the small object detection head and the dual-domain attention mechanism, which enable the model to leverage the learned knowledge from small-scale targets and selectively focus on salient features. Considering the imbalance of bounding box regression samples and the inaccuracy of regression geometric factors, the focal and efficient IoU(intersection of union) loss with optimal transport assignment(F-EIoU-OTA)mechanism is proposed to improve the detection accuracy. The proposed TDKD-Net is comprehensively evaluated through extensive experiments, and the results have demonstrated the effectiveness and superiority of the developed methods in comparison to other advanced detection algorithms, which also present high generalization and strong robustness. As a resource-efficient precise network, the complex detection of small and occluded LAA objects is also well addressed by TDKD-Net, which provides useful insights on handling imbalanced issues and realizing domain adaptation.

Patterns of Interactions of the Complex City System:Emotional Urban Objects as Triggering Agents-A Secondary Publication

This article presents an analysis of the patterns of interactions resulting from the positive and negative emotional events that occur in cities,considering them as complex systems.It explores,from the imaginaries,how certain urban objects can act as emotional agents and how these events affect the urban system as a whole.An adaptive complex systems perspective is used to analyze these patterns.The results show patterns in the processes and dynamics that occur in cities based on the objects that affect the emotions of the people who live there.These patterns depend on the characteristics of the emotional charge of urban objects,but they can be generalized in the following process:(1)immediate reaction by some individuals;(2)emotions are generated at the individual level which begins to generalize,permuting to a collective emotion;(3)a process of reflection is detonated in some individuals from the reading of collective emotions;(4)integration/significance in the community both at the individual and collective level,on the concepts,roles and/or functions that give rise to the process in the system.Therefore,it is clear that emotions play a significant role in the development of cities and these aspects should be considered in the design strategies of all kinds of projects for the city.Future extensions of this work could include a deeper analysis of specific emotional events in urban environments,as well as possible implications for urban policy and decision making.

Management of Penetrating Cranioencephalic Trauma Caused by Sharp Metal Objects—Therapeutic and Evolutionary Aspects: 12 Cases at the Renaissance University Hospital in N’Djamena

Introduction: Cranioencephalic trauma caused by bladed weapons is rare, and that caused by sharp objects is exceptional. The aim of our study was to describe the clinical, therapeutic and evolutionary aspects. Materials and method: This was a descriptive and analytical study over a 48-month period at CHU la Renaissance from January 1, 2018 to December 31, 2021, concerning patients admitted for penetrating cranioencephalic trauma by pointed object. Results: Twelve cases, all male, of penetrating cranioencephalic sharp-force trauma were identified. The mean age was 34 ± 7 years, with extremes of 11 and 60 years. Farmers and herders accounted for 31% and 25% of cases respectively. The average admission time was 47 hours. Brawls were the circumstances of occurrence in 81.2% of cases. Knives (33%), arrows (25%) and iron bars (16.6%) were the objects used. Altered consciousness was present in 43.8% of cases, and focal deficit in 50%. Scannographic lesions were fracture and/or embarrhment (12 cases), intra-parenchymal haematomas (6 cases) and presence of object in place (4 cases). Surgery was performed in 11 patients. Postoperative outcome was favorable in 9 patients. After 12 months, 2 patients were declared unfit. Conclusion: Penetrating head injuries caused by sharp objects are common in Chad. Urgent surgery can prevent disabling after-effects.

Numerical Investigations on Harbor Oscillations Induced by Falling Objects

In this paper,the open-sourced computational fluid dynamics software,OpenFOAM~?,is used to study the fluctuation phenomenon of the water body inside a horizontally one-dimensional enclosed harbor basin with constant water depth triggered by falling wedges with various horizontal falling positions,initial falling velocities and masses.Based on both Fourier transfo rm analysis and wavelet spectrum analysis for the time series of the free surface elevations inside the harbor basin,it is found for the first time that the wedge falling inside the harbor can directly trigger harbor resonance.The influences of the three factors(including the horizontal falling position,the initial falling velocity,and the mass)on the response amplitudes of the lowest three resonant modes are also investigated.The results show that when the wedge falls on one of the nodal points of a resonant mode,the mode would be remarkably suppressed.Conversely,when the wedge falls on one of the anti-nodal points of a resonant mode,the mode would be evidently triggered.The initial falling velocity of the wedge mainly has a remarkable effect on the response amplitude of the most significant mode,and the latter shows a gradual increase trend with the increase of the former.While for the other two less significant modes,their response amplitudes fluctuate around certain constant values as the initial falling velocity rises.In general,the response amplitudes of all the lowest three modes are shown to gradually increase with the mass of the wedge.

New Fragile Watermarking Technique to Identify Inserted Video Objects Using H.264 and Color Features

The transmission of video content over a network raises various issues relating to copyright authenticity,ethics,legality,and privacy.The protection of copyrighted video content is a significant issue in the video industry,and it is essential to find effective solutions to prevent tampering and modification of digital video content during its transmission through digital media.However,there are stillmany unresolved challenges.This paper aims to address those challenges by proposing a new technique for detectingmoving objects in digital videos,which can help prove the credibility of video content by detecting any fake objects inserted by hackers.The proposed technique involves using two methods,the H.264 and the extraction color features methods,to embed and extract watermarks in video frames.The study tested the performance of the system against various attacks and found it to be robust.The evaluation was done using different metrics such as Peak-Signal-to-Noise Ratio(PSNR),Mean Squared Error(MSE),Structural Similarity Index Measure(SSIM),Bit Correction Ratio(BCR),and Normalized Correlation.The accuracy of identifying moving objects was high,ranging from 96.3%to 98.7%.The system was also able to embed a fragile watermark with a success rate of over 93.65%and had an average capacity of hiding of 78.67.The reconstructed video frames had high quality with a PSNR of at least 65.45 dB and SSIMof over 0.97,making them imperceptible to the human eye.The system also had an acceptable average time difference(T=1.227/s)compared with other state-of-the-art methods.

Application of 3D Scanned Big Data of Large-scale Cultural Heritage Objects Based on Noise-robust Transparent Visualization

Three-dimensional(3D) scanning technology has undergone remarkable developments in recent years.Data acquired by 3D scanning have the form of 3D point clouds.The 3D scanned point clouds have data sizes that can be considered big data.They also contain measurement noise inherent in measurement data.These properties of 3D scanned point clouds make many traditional CG/visualization techniques difficult.This paper reviewed our recent achievements in developing varieties of high-quality visualizations suitable for the visual analysis of 3D scanned point clouds.We demonstrated the effectiveness of the method by applying the visualizations to various cultural heritage objects.The main visualization targets used in this paper are the floats in the Gion Festival in Kyoto(the float parade is on the UNESCO Intangible Cultural Heritage List) and Borobudur Temple in Indonesia(a UNESCO World Heritage Site).

Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects

The amount of needed control messages in wireless sensor networks(WSN)is affected by the storage strategy of detected events.Because broadcasting superfluous control messages consumes excess energy,the network lifespan can be extended if the quantity of control messages is decreased.In this study,an optimized storage technique having low control overhead for tracking the objects in WSN is introduced.The basic concept is to retain observed events in internal memory and preserve the relationship between sensed information and sensor nodes using a novel inexpensive data structure entitled Ordered Binary Linked List(OBLL).Whenever an object passes over the sensor area,the recognizing sensor can immediately produce an OBLL along the object’s route.To retrieve the entire information,the OBLL can be traversed with logarithmic complexity which is much less than the traversing complexity of existing linked list structures.Performance evaluation and simulations were carried out to ensure that the suggested technique minimizes the number of messages and thus saving energy and extending the network life.

基于FME Objects的空间数据格式转换方法研究

地理信息数据广泛应用于大测绘、自然资源、建设规划等行业领域的信息分析与存储。因其数据叠加分析与跨专业融合学习的需要,满足数据的定向需求与统一性。本文基于FME Objects的引用库,运用C#语言研究了如何精确、完整实现数据格式转换的程序方法,探寻了含非图形属性文件的转换函数表达方式,解析了程序实现的基础结构。经过诸多数据的转换验证,此系统能够提高数据格式的转换效率且能保证图形要素与属性的完整性,并可生成全面的转换日志与简易的质检文本,为各行业地理信息数据的统一整理提供便利。

基于SuperMap Objects的农用地定级系统设计与开发

研究目的:基于GIS进行农用地定级系统的设计与开发,解决现有农用地定级系统中存在的一些问题。研究方法:系统分析法、实证比较分析法。研究结果:指出了现有农用地定级系统中存在的三个问题,提出了系统设计原则、系统的功能设计、数据处理流程设计、数据组织结构设计以及对进一步开发农用地定级系统的建议与展望。研究结论:本系统成功地应用于安徽省宿州市桥区农用地级别的划分,该系统可靠,稳定,适应性较强。

基于改进Deformable DETR的无人机视频流车辆目标检测算法

针对无人机视频流检测中小目标数量多、因图像传输质量较低而导致的上下文语义信息不充分、传统算法融合特征推理速度慢、数据集类别样本不均衡导致的训练效果差等问题,提出一种基于改进Deformable DETR的无人机视频流车辆目标检测算法。在模型结构方面,该算法设计了跨尺度特征融合模块以增大感受野,提升小目标检测能力,并采用针对object_query的挤压-激励模块提升关键目标的响应值,减少重要目标的漏检与错检率;在数据处理方面,使用了在线困难样本挖掘技术,改善数据集中类别样本分布不均的问题。在UAVDT数据集上进行了实验,实验结果表明,改进后的算法相较于基线算法在平均检测精度上提升了1.5%,在小目标检测精度上提升了0.8%,并在保持参数量较少增长的情况下,维持了原有的检测速度。

基于SuperMap Objects组件式GIS的开发与研究

主要介绍了组件式地理信息系统(ComGIS)的基本概念,以及利用组件式GIS开发地理信息系统应用程序的特点.以SuperMap Objects组件式开发平台为例,阐述了其组件主要内容和功能,并介绍了利用ComGIS进行应用程序开发的方式和步骤.结果表明,利用ComGIS开发地理信息系统应用程序是非常高效的.

基于SuperMap Objects的水资源系统网络概化图绘制

水资源系统网络概化图绘制是进行水资源调配研究的重要基础,而利用GIS技术进行水资源系统网络图绘制是发展方向。从阐述目前水资源调配中网络概化图绘制过程中的问题着手,介绍了基于SuperMapObjects的GIS平台的水资源系统网络概化图软件开发技术,实现的功能和工作流程等,并利用该软件完成了黑河流域水资源调配中系统网络概化图的制作。

SuperMap Objects中创建缓冲区方法研究

基于SuperMap Objects进行缓冲区分析时,由于地图坐标系单位与用户输入距离单位不一致,导致无法直接使用Buffer方法正确地生成缓冲区。提出变换缓冲区半径距离单位创建缓冲区、构建椭圆对象创建点对象的缓冲区、变换缓冲区对象坐标系创建缓冲区等方法予以解决。

基于SuperMap Objects的尾矿资源管理系统设计实现

本文采用GIS组件式开发模式,以河北省迁安市为例设计并开发基于GIS技术的尾矿资源管理系统,构建尾矿分布的数字地图,实现了尾矿信息属性信息与空间分布的实时查询与管理、地图导入和漫游、数据输入输出、尾矿信息专题图制作以及互联网链接等功能。系统的实现将为资源的合理开发利用以及再生资源的科学管理提供一个科学平台。

基于SuperMap Objects的森林资源管理系统设计与实现——以黑龙江省8511农场林业局为例

SuperMap Objects是基于ActiveX/COM技术开发的组件式GIS软件.本文以黑龙江省八五一一农场林业局为例,详细介绍了应用SuperMap Objects开发森林资源管理系统的方法,并对此系统的结构、功能及特点等方面进行重点介绍.

Mapinfo与Supermap Objects数据转换的实现

采用面向对象的方法,在VB语言环境下开发Mapinfo数据向Supermap Objects的转换程序,从Mapinfo数据库中提取空间要素和隐藏的属性数据,经转化转入Supermap Objects数据库中,解决了转换前后逐层对应问题,做到了空间要素与空间属性完全匹配,为农业空间信息决策提供数据支持。

基于Map Objects的植保地理信息系统应用软件的开发

介绍了植保地理信息系统的作用及其功能和组成,阐述了运用MapObjects2.0软件在VisualBasic6.0语言环境中如何开发GIS应用软件的方法及核心技术,指出了系统开发中的一些关键问题以及解决途径。

组件式GIS SuperMap Objects在KJ333矿井综合监控系统中的应用

KJ333矿井综合监控系统是符合我国煤矿安全生产实际需要的煤矿安全生产综合监控系统。KJ333矢量地图显示程序部分,以GIS地理信息系统作为开发平台,动态显示监测数据的更新变化。

基于Business Objects的区域卫生综合管理和决策支持系统设计和实现

介绍了基于Business Objects的区域卫生综合管理和决策支持系统的设计、实施要点以及关键技术,主要涵盖数据建模、定义语义层、开发图报表等方面。通过多个区域卫生综合管理和决策支持系统的工程实践说明,采用上述关键技术和实现要点进行设计和实施,取得较好的效果。