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Use of a Residual Neural Network to Demonstrate Feasibility of Ship Detection Based on Synthetic Aperture Radar Raw Data 利用残差神经网络展示基于合成孔径雷达原始数据的船舶探测的可行性
Pub Date : 2023-12-11 DOI: 10.3390/technologies11060178
Giorgio Cascelli, C. Guaragnella, R. Nutricato, K. Tijani, A. Morea, Nicolò Ricciardi, D. Nitti
Synthetic Aperture Radar (SAR) is a well-established 2D imaging technique employed as a consolidated practice in several oil spill monitoring services. In this scenario, onboard detection undoubtedly represents an interesting solution to reduce the latency of these services, also enabling transmission to the ground segment of alert signals with a notable reduction in the required downlink bandwidth. However, the reduced computational capabilities available onboard require alternative approaches with respect to the standard processing flows. In this work, we propose a feasibility study of oil spill detection applied directly to raw data, which is a solution not sufficiently addressed in the literature that has the advantage of not requiring the execution of the focusing step. The study is concentrated only on the accuracy of detection, while computational cost analysis is not within the scope of this work. More specifically, we propose a complete framework based on the use of a Residual Neural Network (ResNet), including a simple and automatic simulation method for generating the training data set. The final tests with ERS real data demonstrate the feasibility of the proposed approach showing that the trained ResNet correctly detects ships with a Signal-to-Clutter Ratio (SCR) > 10.3 dB.
合成孔径雷达(SAR)是一种成熟的二维成像技术,在一些溢油监测服务中被综合利用。在这种情况下,机载探测无疑是减少这些服务延迟的一个有趣的解决方案,还能向地面段传输警报信号,同时显著减少所需的下行链路带宽。然而,由于机载计算能力降低,因此需要在标准处理流程之外采用其他方法。在这项工作中,我们提出了一项直接应用于原始数据的溢油检测可行性研究,这是一种文献中未充分涉及的解决方案,其优点是无需执行聚焦步骤。这项研究只关注检测的准确性,计算成本分析不在研究范围之内。更具体地说,我们提出了一个基于残差神经网络(ResNet)的完整框架,包括一种用于生成训练数据集的简单自动模拟方法。使用 ERS 真实数据进行的最终测试证明了所提方法的可行性,结果表明经过训练的 ResNet 可以正确探测到信号与杂波比 (SCR) > 10.3 dB 的船只。
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引用次数: 0
Study on Shielding Effectiveness of High Transmittance Coating Film Glasses against Electromagnetic Pulse 高透过率镀膜玻璃对电磁脉冲的屏蔽效果研究
Pub Date : 2023-12-07 DOI: 10.3390/technologies11060175
Che-Min Cheng, Yu-Hsin Chen, Sheng-Yi Lin, Sheng D. Chao, Shun-Feng Tsai
This study investigated the shielding effectiveness (SE) of glass materials with conductive coatings by establishing a 3000 × 3000 × 3000 mm electromagnetic pulse (EMP)—shielded room according to the EMP shielding requirements in the US military standard MIL-STD-188-125-1. The EMP SE of conductive-coated glass samples was measured and verified with the broadband EMP conditions of 10 kHz∼1 GHz. The conductive thin film coating on the glass was made by mixing conductive materials, including In2O3, SnO2, Ta2O5, NbO, SiO2, TiO2, and Al2O3, at different ratios. The mixed solutions were then coated onto the glass targets to facilitate conductive continuity between the conductive oxides and the shielding metal structure. The glass samples had dimensions of 1000 × 600 mm, which had electrolytic conductivity σ = 4.0064 × 103∼4.7438 × 103 (S/cm), 74∼77% transmittance, and 6.4∼6.8 Ω/□ film resistance. The experimental results indicated that the glass had SE of 35∼40 dB under 1 GHz EMP, satisfying the US National Coordinating Center for Communications’ Level 3 shielding protection requirement of at least 30 dB. The glass attenuated energy density by more than 1000 times, which is equivalent to shielding over 97% of EMP energy. Accordingly, the glass materials can be used as high-transmittance conductive glass for windows of automobiles, vessels, and aircrafts to protect from EMPs.
本研究根据美国军用标准MIL-STD-188-125-1中的电磁脉冲屏蔽要求,建立了一个3000 × 3000 × 3000 mm电磁脉冲屏蔽室,研究了导电涂层玻璃材料的屏蔽效果。在10 kHz ~ 1 GHz的宽带EMP条件下,测量并验证了导电镀膜玻璃样品的EMP SE。将In2O3、SnO2、Ta2O5、NbO、SiO2、TiO2、Al2O3等导电材料按不同比例混合,在玻璃表面制备导电薄膜涂层。然后将混合溶液涂覆在玻璃靶上,以促进导电氧化物和屏蔽金属结构之间的导电连续性。玻璃样品尺寸为1000 × 600 mm,电导率σ = 4.0064 × 103 ~ 4.7438 × 103 (S/cm),透过率为74 ~ 77%,膜阻为6.4 ~ 6.8 Ω/□。实验结果表明,该玻璃在1 GHz EMP下的SE为35 ~ 40 dB,满足美国国家通信协调中心要求的至少30 dB的3级屏蔽保护要求。这种玻璃将能量密度衰减了1000倍以上,相当于屏蔽了97%以上的电磁脉冲能量。因此,该玻璃材料可作为汽车、船舶、飞机窗户的高透射率导电玻璃,以防止电磁脉冲。
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引用次数: 0
Detecting Photovoltaic Panels in Aerial Images by Means of Characterising Colours 通过颜色特征识别航空图像中的光伏板
Pub Date : 2023-12-07 DOI: 10.3390/technologies11060174
Daniele Marletta, Alessandro Midolo, E. Tramontana
The detection of photovoltaic panels from images is an important field, as it leverages the possibility of forecasting and planning green energy production by assessing the level of energy autonomy for communities. Many existing approaches for detecting photovoltaic panels are based on machine learning; however, they require large annotated datasets and extensive training, and the results are not always accurate or explainable. This paper proposes an automatic approach that can detect photovoltaic panels conforming to a properly formed significant range of colours extracted according to the given conditions of light exposure in the analysed images. The significant range of colours was automatically formed from an annotated dataset of images, and consisted of the most frequent panel colours differing from the colours of surrounding parts. Such colours were then used to detect panels in other images by analysing panel colours and reckoning the pixel density and comparable levels of light. The results produced by our approach were more precise than others in the previous literature, as our tool accurately reveals the contours of panels notwithstanding their shape or the colours of surrounding objects and the environment.
从图像中检测光伏板是一个重要的领域,因为它通过评估社区的能源自主水平来利用预测和规划绿色能源生产的可能性。许多现有的光伏板检测方法都是基于机器学习的;然而,它们需要大量带注释的数据集和大量的训练,并且结果并不总是准确或可解释的。本文提出了一种自动检测光伏板的方法,该方法符合根据分析图像中给定的光照条件提取的适当形成的显着颜色范围。颜色的显著范围是由一个注释的图像数据集自动形成的,由最常见的面板颜色组成,不同于周围部分的颜色。然后,通过分析面板颜色、计算像素密度和可比较的光线水平,这些颜色被用来检测其他图像中的面板。我们的方法产生的结果比以前文献中的其他方法更精确,因为我们的工具准确地揭示了面板的轮廓,而不管它们的形状或周围物体和环境的颜色。
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引用次数: 0
An Advanced Solution Based on Machine Learning for Remote EMDR Therapy 基于机器学习的远程 EMDR 治疗高级解决方案
Pub Date : 2023-12-06 DOI: 10.3390/technologies11060172
Francesca Fiani, Samuele Russo, Christian Napoli
For this work, a preliminary study proposed virtual interfaces for remote psychotherapy and psychology practices. This study aimed to verify the efficacy of such approaches in obtaining results comparable to in-presence psychotherapy, when the therapist is physically present in the room. In particular, we implemented several joint machine-learning techniques for distance detection, camera calibration and eye tracking, assembled to create a full virtual environment for the execution of a psychological protocol for a self-induced mindfulness meditative state. Notably, such a protocol is also applicable for the desensitization phase of EMDR therapy. This preliminary study has proven that, compared to a simple control task, such as filling in a questionnaire, the application of the mindfulness protocol in a fully virtual setting greatly improves concentration and lowers stress for the subjects it has been tested on, therefore proving the efficacy of a remote approach when compared to an in-presence one. This opens up the possibility of deepening the study, to create a fully working interface which will be applicable in various on-field applications of psychotherapy where the presence of the therapist cannot be always guaranteed.
在这项工作中,一项初步研究提出了远程心理治疗和心理学实践的虚拟界面。本研究旨在验证这些方法在获得与在场心理治疗相当的结果方面的有效性,当治疗师实际出现在房间里时。特别是,我们实施了几种联合机器学习技术,用于距离检测、相机校准和眼动追踪,组装成一个完整的虚拟环境,用于执行自我诱导的正念冥想状态的心理协议。值得注意的是,该方案也适用于EMDR治疗的脱敏阶段。这项初步研究已经证明,与简单的控制任务(如填写问卷)相比,在完全虚拟的环境中应用正念协议大大提高了被测试对象的注意力,降低了被测试对象的压力,因此证明了远程方法比现场方法的有效性。这开启了深化研究的可能性,创造了一个完整的工作界面,它将适用于心理治疗的各种现场应用,在这些应用中,治疗师的存在不能总是得到保证。
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引用次数: 0
Maze Solving Mobile Robot Based on Image Processing and Graph Theory 基于图像处理和图论的迷宫求解移动机器人
Pub Date : 2023-12-05 DOI: 10.3390/technologies11060171
Luis A. Avila-Sánchez, C. Sánchez-López, R. Ochoa-Montiel, Fredy Montalvo-Galicia, Luis A. Sánchez-Gaspariano, C. Hernández-Mejía, Hugo G. González-Hernández
Advances in the development of collision-free path planning algorithms are the main need not only to solve mazes with robotic systems, but also for their use in modern product transportation or green logistics systems and planning merchandise deliveries inside or outside a factory. This challenge increases as the complexity of the task in its structure also increases. This paper deals with the development of a novel methodology for solving mazes with a mobile robot, using image processing techniques and graph theory. The novelty is that the mobile robot can find the shortest path from a start-point to the end-point into irregular mazes with abundant irregular obstacles, a situation that is not far from reality. Maze information is acquired from an image and depending on the size of the mobile robot, a grid of nodes with the same dimensions of the maze is built. Another contribution of this paper is that the size of the maze can be scaled from 1 m × 1 m to 66 m × 66 m, maintaining the essence of the proposed collision-free path planning methodology. Afterwards, graph theory is used to find the shortest path within the grid of reduced nodes due to the elimination of those nodes absorbed by the irregular obstacles. To avoid the mobile robot to travel through those nodes very close to obstacles and borders, resulting in a collision, each image of the obstacle and border is dilated taking into account the size of the mobile robot. The methodology was validated with two case studies with a mobile robot in different mazes. We emphasize that the maze solution is found in a single computational step, from the maze image as input until the generation of the Path vector. Experimental results show the usefulness of the proposed methodology, which can be used in applications such as intelligent traffic control, military, agriculture and so on.
无碰撞路径规划算法的发展不仅是机器人系统解决迷宫的主要需求,也是现代产品运输或绿色物流系统以及规划工厂内外商品交付的主要需求。随着任务结构的复杂性增加,这一挑战也会增加。本文讨论了一种利用图像处理技术和图论来解决移动机器人迷宫问题的新方法。新颖之处在于,移动机器人可以找到从起点到终点的最短路径,进入具有大量不规则障碍物的不规则迷宫,这种情况与现实并不遥远。从图像中获取迷宫信息,并根据移动机器人的大小,构建具有相同迷宫尺寸的节点网格。本文的另一个贡献是迷宫的大小可以从1 m × 1 m缩放到66 m × 66 m,保持了所提出的无碰撞路径规划方法的本质。然后,通过消去被不规则障碍物所吸收的节点,利用图论在减少节点网格内寻找最短路径。为了避免移动机器人穿过那些非常靠近障碍物和边界的节点,导致碰撞,考虑到移动机器人的大小,对障碍物和边界的每个图像进行了扩展。该方法通过移动机器人在不同迷宫中的两个案例研究进行了验证。我们强调,迷宫的解决方案是在一个单一的计算步骤中找到的,从迷宫图像作为输入直到路径向量的生成。实验结果表明了该方法的有效性,可用于智能交通控制、军事、农业等领域。
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引用次数: 0
A Dynamic STEM-Driven Approach through Mobile Robotics to Enhance Critical Thinking and Interdisciplinary Skills for Empowering Industry 4.0 Competencies 通过移动机器人提高批判性思维和跨学科技能以增强工业 4.0 能力的 STEM 驱动型动态方法
Pub Date : 2023-12-01 DOI: 10.3390/technologies11060170
Rodrigo Antunes, M. Aguiar, P. D. Gaspar
This study presents an innovative pedagogical approach aimed at enhancing the teaching of robotics within the broader context of STEM (science, technology, engineering, and mathematics) education across diverse academic levels. The integration of mobile robotics kits into a dynamic STEM-focused curriculum offers students an immersive and hands-on learning experience, fostering programming skills, advanced problem-solving, critical thinking, and spatial awareness. The motivation behind this research lies in improving the effectiveness of robotics education by addressing existing gaps in current strategies. It aims to better prepare students for this rapidly evolving field’s dynamic challenges and opportunities. To achieve this, detailed protocols were formulated that not only facilitate student learning but also cater to teacher training and involvement. These protocols encompass code documentation and examples, providing tangible representations of the practical outcomes of the course. In addition to the presented curriculum, this paper introduces the developed methodology that strategically leverages 3D-printing technology. The primary focus of this approach is to create captivating add-ons and establish a versatile workspace, actively promoting heightened engagement and facilitating the acquisition of knowledge among students. The research involves the development of tailored laboratory protocols suited to various academic levels, employing a systematic methodology aimed at deepening students’ comprehension of STEM concepts. Furthermore, an adaptable infrastructure for laboratory protocols and in-class testing was developed. The efficacy of this teaching/learning methodology is evaluated through student surveys, ensuring its continuous improvement. These protocols are to be integrated into both the robotics courses and teacher-training initiatives. This study aims to contribute to the field by using a dynamic STEM-driven approach based on mobile robotics. It outlines a strategic vision for better-preparing students and educators in the ever-evolving landscape of robotics education demanded by Industry 4.0 technologies.
本研究提出了一种创新的教学方法,旨在在不同学术水平的STEM(科学、技术、工程和数学)教育的更广泛背景下加强机器人教学。将移动机器人套件整合到以stem为重点的动态课程中,为学生提供身临其境的实践学习体验,培养编程技能,先进的解决问题能力,批判性思维和空间意识。这项研究背后的动机在于通过解决当前战略中的现有差距来提高机器人教育的有效性。它旨在让学生更好地为这个快速发展的领域的动态挑战和机遇做好准备。为了实现这一目标,制定了详细的协议,不仅方便学生学习,而且迎合教师的培训和参与。这些协议包含代码文档和示例,提供了课程实际成果的有形表示。除了提出的课程,本文介绍了战略上利用3d打印技术开发的方法。这种方法的主要重点是创造迷人的附加组件,建立一个多功能的工作空间,积极促进学生的参与,促进知识的获取。该研究涉及开发适合不同学术水平的量身定制的实验室方案,采用系统的方法,旨在加深学生对STEM概念的理解。此外,还开发了适用于实验室协议和课堂测试的适应性基础结构。通过学生调查评估这种教学方法的有效性,确保其持续改进。这些协议将被整合到机器人课程和教师培训计划中。本研究旨在通过使用基于移动机器人的动态stem驱动方法为该领域做出贡献。它概述了一个战略愿景,让学生和教育工作者在工业4.0技术要求的不断发展的机器人教育环境中做好更好的准备。
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引用次数: 0
Towards Robust Obstacle Avoidance for the Visually Impaired Person Using Stereo Cameras 利用立体摄像机实现视障人士的鲁棒障碍物规避功能
Pub Date : 2023-11-28 DOI: 10.3390/technologies11060168
Bismark Kweku Asiedu Asante, Hiroki Imamura
We propose a novel obstacle avoidance strategy implemented in a wearable assistive device, which serves as an electronic travel aid (ETA), designed to enhance the safety of visually impaired persons (VIPs) during navigation to their desired destinations. This method is grounded in the assumption that objects in close proximity and within a short distance from VIPs pose potential obstacles and hazards. Furthermore, objects that are farther away appear smaller in the camera’s field of view. To adapt this method for accurate obstacle selection, we employ an adaptable grid generated based on the apparent size of objects. These objects are detected using a custom lightweight YOLOv5 model. The grid helps select and prioritize the most immediate and dangerous obstacle within the user’s proximity. We also incorporate an audio feedback mechanism with an innovative neural perception system to alert the user. Experimental results demonstrate that our proposed system can detect obstacles within a range of 20 m and effectively prioritize obstacles within 2 m of the user. The system achieves an accuracy rate of 95% for both obstacle detection and prioritization of critical obstacles. Moreover, the ETA device provides real-time alerts, with a response time of just 5 s, preventing collisions with nearby objects.
我们提出了一种在可穿戴辅助设备中实施的新型障碍物规避策略,该设备可作为电子旅行辅助设备(ETA),旨在提高视障人士(VIP)在导航前往所需目的地过程中的安全性。这种方法基于这样一个假设,即距离视障人士较近和较短距离内的物体会构成潜在的障碍和危险。此外,较远的物体在摄像机的视野中看起来较小。为了使这种方法适用于准确的障碍物选择,我们采用了一种根据物体表面大小生成的可调整网格。这些物体是使用定制的轻量级 YOLOv5 模型检测到的。该网格有助于选择用户附近最直接、最危险的障碍物,并确定其优先级。我们还将音频反馈机制与创新的神经感知系统相结合,以提醒用户注意。实验结果表明,我们提出的系统可以检测到 20 米范围内的障碍物,并有效地优先处理用户 2 米范围内的障碍物。该系统在障碍物检测和关键障碍物优先级排序方面的准确率都达到了 95%。此外,ETA 设备还能提供实时警报,响应时间仅为 5 秒,可防止与附近物体发生碰撞。
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引用次数: 0
A Review on the Nanofluids-PCMs Integrated Solutions for Solar Thermal Heat Transfer Enhancement Purposes 综述用于增强太阳能热传导的纳米流体-PCMs 集成解决方案
Pub Date : 2023-11-24 DOI: 10.3390/technologies11060166
J. Pereira, Reinaldo Souza, António Moreira, Ana Moita
The current review offers a critical survey on published studies concerning the simultaneous use of PCMs and nanofluids for solar thermal energy storage and conversion processes. Also, the main thermophysical properties of PCMs and nanofluids are discussed in detail. On one hand, the properties of these types of nanofluids are analyzed, as well as those of the general types of nanofluids, like the thermal conductivity and latent heat capacity. On the other hand, there are specific characteristics of PCMs like, for instance, the phase-change duration and the phase-change temperature. Moreover, the main improvement techniques in order for PCMs and nanofluids to be used in solar thermal applications are described in detail, including the inclusion of highly thermal conductive nanoparticles and other nanostructures in nano-enhanced PCMs and PCMs with extended surfaces, among others. Regarding those improvement techniques, it was found that, for instance, nanofluids can enhance the thermal conductivity of the base fluids by up to 100%. In addition, it was also reported that the simultaneous use of PCMs and nanofluids enhances the overall, thermal, and electrical efficiencies of solar thermal energy storage systems and photovoltaic-nano-enhanced PCM systems. Finally, the main limitations and guidelines are summarized for future research in the technological and research fields of nanofluids and PCMs.
本综述对已发表的有关将 PCM 和纳米流体同时用于太阳能热能储存和转换过程的研究进行了深入分析。此外,还详细讨论了 PCM 和纳米流体的主要热物理性质。一方面,分析了这些类型纳米流体的特性,以及一般类型纳米流体的特性,如热导率和潜热容量。另一方面,还分析了 PCM 的具体特性,例如相变持续时间和相变温度。此外,还详细介绍了在太阳能热应用中使用 PCM 和纳米流体的主要改进技术,包括在纳米增强型 PCM 和具有扩展表面的 PCM 中加入高导热纳米颗粒和其他纳米结构等。关于这些改进技术,研究发现,例如,纳米流体可将基础流体的导热率提高 100%。此外,还有报告称,同时使用 PCM 和纳米流体可提高太阳能热储系统和光伏-纳米增强 PCM 系统的整体效率、热效率和电效率。最后,总结了纳米流体和 PCMs 技术和研究领域的主要局限性和未来研究指南。
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引用次数: 0
Get Real Get Better: A Framework for Developing Agile Program Management in the U.S. Navy Supported by the Application of Advanced Data Analytics and AI Get Real Get Better:应用先进数据分析和人工智能支持美国海军发展敏捷项目管理的框架
Pub Date : 2023-11-20 DOI: 10.3390/technologies11060165
Jonathan Haase, Peter B. Walker, Olivia Berardi, Waldemar Karwowski
This paper discusses the “Get Real Get Better” (GRGB) approach to implementing agile program management in the U.S. Navy, supported by advanced data analytics and artificial intelligence (AI). GRGB was designed as a set of foundational principles to advance Navy culture and support its core values. This article identifies a need for a more informed and efficient approach to program management by highlighting the benefits of implementing comprehensive data analytics that leverage recent advances in cloud computing and machine learning. The Jupiter enclave within Advana implemented by the U.S. Navy, is also discussed. The presented approach represents a practical framework that cultivates a “Get Real Get Better” mindset for implementing agile program management in the U.S. Navy.
本文讨论了美国海军在先进数据分析和人工智能(AI)支持下实施敏捷项目管理的 "Get Real Get Better"(GRGB)方法。GRGB 是作为一套基本原则设计的,旨在推进海军文化并支持其核心价值观。本文通过强调利用云计算和机器学习的最新进展实施综合数据分析的益处,确定了对更知情、更高效的项目管理方法的需求。文章还讨论了美国海军在 Advana 中实施的 Jupiter 飞地。所介绍的方法是一个实用的框架,它培养了美国海军实施敏捷项目管理的 "Get Real Get Better "思维。
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引用次数: 0
Developing Robotic Process Automation to Efficiently Integrate Long-Term Business Process Management 开发机器人流程自动化,有效整合长期业务流程管理
Pub Date : 2023-11-18 DOI: 10.3390/technologies11060164
Nurgul Nalgozhina, Abdul Razaque, Uskenbayeva Raissa', Joon Yoo
Robotic process automation (RPA) is a popular process automation technology that leverages software to play the function of humans when employing graphical user interfaces. RPA’s scope is limited, and various requirements must be met for it to be applied efficiently. Business process management (BPM), on the other hand, is a well-established area of research that may provide favorable conditions for RPA to thrive. We provide an efficient technique for merging RPA with BPM (RPABPM) to synchronize the technology for efficient automated business processes. The problem formulation process is carried out to cut management-related expenditures. The proposed RPABPM strategy includes the five stages (design, modeling, execution, monitoring, and optimization) for optimal business automation and energy savings. Effective business process management is proved by employing an end-to-end process. Furthermore, findings have been obtained employing three empirical investigations that are performed to assess the practicality and precision of the proposed RPABPM approach. The first objective of the initial study is to confirm the practicality and precision of the approach employed to evaluate the acceptance, possibility, significance, and integration of RPA with BPM. The second study attempts to verify the method’s high-quality characteristics. The third study attempts to assess the approach’s effectiveness in analyzing and identifying BPM that are best suited for RPA. The proposed RPABPM is validated on the industrial robot manufactured by ABB with six-axis IRB140 and supported with a Windows CE-based Flex Pendant (teach pendant). An IRC5 controller is used to run RobotWare 5.13.10371. A pre-installed .NET Compact Framework 3.5 is used. Finally, the proposed method is compared with state-of-the-art methods from an efficiency and power consumption perspective.
机器人流程自动化(RPA)是一种流行的流程自动化技术,它在使用图形用户界面时利用软件发挥人类的功能。RPA 的应用范围有限,必须满足各种要求才能有效应用。另一方面,业务流程管理(BPM)是一个成熟的研究领域,可以为 RPA 的发展提供有利条件。我们提供了一种将 RPA 与 BPM(RPABPM)相结合的有效技术,以同步技术实现高效的自动化业务流程。问题制定过程是为了削减与管理相关的开支。建议的 RPABPM 策略包括五个阶段(设计、建模、执行、监控和优化),以实现最佳业务自动化和节能。通过采用端到端流程,证明了有效的业务流程管理。此外,还通过三项实证调查得出结论,以评估所建议的 RPABPM 方法的实用性和精确性。初步研究的第一个目标是确认所采用方法的实用性和精确性,以评估 RPA 与 BPM 的接受度、可能性、重要性和整合。第二项研究试图验证该方法的高质量特征。第三项研究试图评估该方法在分析和识别最适合 RPA 的 BPM 方面的有效性。建议的 RPABPM 在 ABB 制造的六轴 IRB140 工业机器人上进行了验证,该机器人由基于 Windows CE 的 Flex Pendant(示教器)提供支持。IRC5 控制器用于运行 RobotWare 5.13.10371。使用预装的 .NET Compact Framework 3.5。最后,从效率和功耗的角度对所提出的方法与最先进的方法进行了比较。
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引用次数: 0
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