The invention concept of Robotic Process Automation (RPA) has emerged as a transformative technology that has revolved the local business processes by programming repetitive task and efficiency adjusting the operation...The invention concept of Robotic Process Automation (RPA) has emerged as a transformative technology that has revolved the local business processes by programming repetitive task and efficiency adjusting the operations. This research had focused on developing the RPA environment and its future features in order to elaborate on the projected policies based on its comprehensive experiences. The current and previous situations of industry are looking for IT solutions to fully scale their company Improve business flexibility, improve customer satisfaction, improve productivity, accuracy and reduce costs, quick scalability in RPA has currently appeared as an advance technology with exceptional performance. It emphasizes future trends and foresees the evolution of RPA by integrating artificial intelligence, learning of machine and cognitive automation into RPA frameworks. Moreover, it has analyzed the technical constraints, including the scalability, security issues and interoperability, while investigating regulatory and ethical considerations that are so important to the ethical utilization of RPA. By providing a comprehensive analysis of RPA with new future trends in this study, researcher’s ambitions to provide valuable insights the benefits of it on industrial performances from the gap observed so as to guide the strategic decision and future implementation of the RPA.展开更多
The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research st...The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research study, an extensive literature review was conducted, which helped in gaining a theoretical understanding. These findings were then justified with the help of current and relevant secondary sources in the analysis section. The findings suggested that RPA is quite advantageous for implementing in varied aspects of a business, especially in the field of project management. However, it can pose several challenges, which need to be taken into due consideration by the organizations during execution such as the capabilities of the employees and the abilities of the existing systems to incorporate automation, among others. It was ultimately concluded that RPA is highly advantageous for project management teams but its effective implementation is the key to success.展开更多
This research paper explores the significance of the “A360 Bot Framework” in Automation 360 (A360) platform. A360 is Automation Anywhere’s cloud-based automation platform designed to make business processes more ef...This research paper explores the significance of the “A360 Bot Framework” in Automation 360 (A360) platform. A360 is Automation Anywhere’s cloud-based automation platform designed to make business processes more efficient. It’s known for its user-friendly interface, which allows both technical and non-technical users to use it effectively. Automation 360 is versatile, offering a range of tools to automate tasks, manage complex workflows, and integrate various applications. It empowers users to create customized solutions for their specific needs. Being cloud-based it ensures scalability, security, and real-time updates, making it a top choice in the fast-paced digital world. As demand for A360 rises, having a structured way to develop bots becomes crucial. The paper introduces the “A360 Bot Framework” as a guiding approach for bot developments. This framework ensures consistency and scalability, especially when working with both professional developers and non-technical users. It outlines key elements like setting up work folders, managing logs, dealing with errors, and ensuring secure bot execution. Ultimately, the “A360 Bot Framework” is presented as a foundational structure that enhances consistency, resiliency, and development efficiency. By following predefined practices and templates, bot developers can mitigate risks and streamline debugging processes. This framework accelerates the bot development lifecycle, allowing developers to focus on specific functionalities and value-added features. The research paper aims to provide insights into the benefits of adopting the A360 Bot Framework and its potential to revolutionize A360 bot development practices, leading to more efficient and effective automation solutions.展开更多
随着机器人流程自动化(Robotic Process Automation,RPA)的发展势头越来越猛烈,高校为满足企业对RPA人才的需求纷纷开设相关课程。如何为高职院校提供一种尊重学生差异的RPA新技术课程教学方式,是当前亟须解决的问题之一。通过分析生源...随着机器人流程自动化(Robotic Process Automation,RPA)的发展势头越来越猛烈,高校为满足企业对RPA人才的需求纷纷开设相关课程。如何为高职院校提供一种尊重学生差异的RPA新技术课程教学方式,是当前亟须解决的问题之一。通过分析生源特点、学生需求以及RPA课程目前在高职院校的开设情况,提出基于RPA新技术课程的分层教学模式。并在RPA课堂中探索实践该教学模式的可行性,阐述分层确立教学目标、建立分层教学资源、分层教学实施和分层教学评价的全过程。展开更多
文章探讨了基于计算机通信技术的机器人流程自动化(Robotic Process Automation,RPA)系统设计,旨在解决复杂业务场景下的任务协同问题。通过采用模块化架构,包括任务调度、通信接口、RPA执行引擎及结果处理器等关键组件,实现了系统的分...文章探讨了基于计算机通信技术的机器人流程自动化(Robotic Process Automation,RPA)系统设计,旨在解决复杂业务场景下的任务协同问题。通过采用模块化架构,包括任务调度、通信接口、RPA执行引擎及结果处理器等关键组件,实现了系统的分布式部署与高效协作。利用改进的任务调度算法和多种通信协议,确保了任务的合理分配与数据的安全传输。实验结果显示,在分布式模式下,系统展现出显著的性能优势,为企业的数字化转型提供了有力的技术支持。展开更多
为规范电网设备运行,提高巡检作业的效率,引进机器人流程自动化(Robotic Process Automation,RPA)技术,研究电网设备运行巡检技术。通过物联网技术,将电网中的各类设备、传感器、控制器等互联互通,设计电网设备运行环境通信网络的全覆...为规范电网设备运行,提高巡检作业的效率,引进机器人流程自动化(Robotic Process Automation,RPA)技术,研究电网设备运行巡检技术。通过物联网技术,将电网中的各类设备、传感器、控制器等互联互通,设计电网设备运行环境通信网络的全覆盖布局,实现数据的实时采集、传输、处理与分析;根据电网设备的空间布局,设定跟踪控制目标,利用RPA技术中的动态执行指数(Directional Movement Index,DEI),数字化跟踪电网设备运行数据;聚合与统计跟踪得到的电网设备运行数据,通过地理信息系统(Geographic Information System,GIS)或现场测量等手段,获取每个电网设备的精确空间坐标;通过分配巡检路径,实现对设备运行的智能巡检。对比实验结果证明,设计的巡检技术应用效果良好,可以提高巡检效率,缩短巡检路径,实现对所有设备的规范化巡检。展开更多
为解决机器人流程自动化(Robotic Process Automation,RPA)领域缺乏统一流程描述方法的问题,文中提出了一种用于定义和描述RPA流程的规范,主要包括RPA流程中的各类对象,可用于分析复杂RPA应用场景;同时,为更好地定义与描述工作流系统的...为解决机器人流程自动化(Robotic Process Automation,RPA)领域缺乏统一流程描述方法的问题,文中提出了一种用于定义和描述RPA流程的规范,主要包括RPA流程中的各类对象,可用于分析复杂RPA应用场景;同时,为更好地定义与描述工作流系统的流程,并解决RPA领域暂无流程建模标准而导致的流程脚本不兼容问题,以业务流程模型和符号(Business Process Model and Notation,BPMN)标准为基础,定义了一套RPA流程建模符号及标签系统。最后,以一种银行系统的典型业务流程为例,展示了使用该规范定义与描述此业务流程的结果,并使用Petri网进行了流程的正确性证明。展开更多
智能化地制定机器人流程自动化(robotic process automation, RPA)执行路径有利于企业节约相关人力成本以及提高RPA的推广,提出基于改进深度双Q网络(double deep Q-learning algorithms, DDQN)算法进行RPA路径规划。首先针对存在RPA的...智能化地制定机器人流程自动化(robotic process automation, RPA)执行路径有利于企业节约相关人力成本以及提高RPA的推广,提出基于改进深度双Q网络(double deep Q-learning algorithms, DDQN)算法进行RPA路径规划。首先针对存在RPA的作业环境即Web页面,不满足深度增强算法的探索条件的问题,借助隐喻地图的思想,通过构建虚拟环境来满足路径规划实验要求。同时为了提高DDQN算法探索效率,提出利用样本之间的位置信息的杰卡德系数,将其作为样本优先度结合基于排名的优先级(rank-based prioritization)构建新的采样方式。通过随机采用任务样本在虚拟环境上进行验证,证明其符合实验要求。进一步比较改进DDQN、深度Q网络(deep Q network, DQN)、DDQN、PPO以及SAC-Discrete算法的实验结果,结果显示改进算法的迭代次数更少、收敛速度更快以及回报值更高,验证了改进DDQN的有效性和可行性。展开更多
机器人流程自动化技术可以将人机交互的业务进行脚本化设计,通过逐一执行自动访问、执行、记录等模块化的功能,高效解决重复、复杂的流程,能够节约人工成本并可靠的完成既定任务。对RPA(Robotic process automation)技术进行了研究,分...机器人流程自动化技术可以将人机交互的业务进行脚本化设计,通过逐一执行自动访问、执行、记录等模块化的功能,高效解决重复、复杂的流程,能够节约人工成本并可靠的完成既定任务。对RPA(Robotic process automation)技术进行了研究,分析其自动化执行工作流程的工作原理,针对配网抢修工单监控业务进行RPA开发,设计一套可定时触发轮询监控工单状态的RPA脚本。通过推广应用验证了所设计的配网工单监控RPA机器人的可行性,为进一步推广研究RPA技术提供参考。展开更多
机器人流程自动化(Robotic Process Automation,RPA)成为各行各业数字化转型的重要技术,具有显著的降本增效作用。在日常信息化系统操作中,存在许多重复低价值的操作,极大地影响了工作效率。文章从RPA技术入手,从机器人流程自动化市场...机器人流程自动化(Robotic Process Automation,RPA)成为各行各业数字化转型的重要技术,具有显著的降本增效作用。在日常信息化系统操作中,存在许多重复低价值的操作,极大地影响了工作效率。文章从RPA技术入手,从机器人流程自动化市场应用前景出发,分析国内外RPA技术研究现状,并基于实际案例,分析企业开展RPA项目的过程及成效。展开更多
Heartbeat detection stays central to cardiovascular an electrocardiogram(ECG)is used to help with disease diagnosis and management.Existing Convolutional Neural Network(CNN)-based methods suffer from the less generali...Heartbeat detection stays central to cardiovascular an electrocardiogram(ECG)is used to help with disease diagnosis and management.Existing Convolutional Neural Network(CNN)-based methods suffer from the less generalization problem thus;the effectiveness and robustness of the traditional heartbeat detector methods cannot be guaranteed.In contrast,this work proposes a heartbeat detector Krill based Deep Neural Network Stacked Auto Encoders(KDNN-SAE)that computes the disease before the exact heart rate by combining features from multiple ECG Signals.Heartbeats are classified independently and multiple signals are fused to estimate life threatening conditions earlier without any error in classification of heart beat.This work contained Training and testing stages,in the preparation part at first the Adaptive Filter Enthalpy-based Empirical Mode Decomposition(EMD)is utilized to eliminate the motion artifact in the signal.At that point,the robotic process automation(RPA)learning part extracts the effective features are extracted,and normalized the value of the feature then estimated utilizing the RPA loss function.At last KDNN-SAE prepared training for the data stored in the dataset.In the subsequent stage,input signal compute motion artifact and RPA Learning the evaluation part determines the detection of Heartbeat.So early diagnosis of heart failures is an essential factor.The results of the experiments show that our proposed method has a high score outcome of 0.9997.Comparable to the CIF,which reaches 0.9990.The CNN and Artificial Neural Network(ANN)had less score 0.95115 and 0.90147.展开更多
I present a solution that explores the use of A360 subtasks as a comparable concept to functions in programming. By leveraging subtasks as reusable and maintainable functions, users can efficiently develop customized ...I present a solution that explores the use of A360 subtasks as a comparable concept to functions in programming. By leveraging subtasks as reusable and maintainable functions, users can efficiently develop customized high-quality automation solutions. Additionally, the paper introduces the retry framework, which allows for the automatic retrying of subtasks in the event of system or unknown exceptions. This framework enhances efficiency and reduces the manual effort required to retrigger bots. The A360 Subtask and Retry Framework templates provide valuable assistance to both professional and citizen developers, improving code quality, maintainability, and the overall efficiency and resiliency of automation solutions.展开更多
文摘The invention concept of Robotic Process Automation (RPA) has emerged as a transformative technology that has revolved the local business processes by programming repetitive task and efficiency adjusting the operations. This research had focused on developing the RPA environment and its future features in order to elaborate on the projected policies based on its comprehensive experiences. The current and previous situations of industry are looking for IT solutions to fully scale their company Improve business flexibility, improve customer satisfaction, improve productivity, accuracy and reduce costs, quick scalability in RPA has currently appeared as an advance technology with exceptional performance. It emphasizes future trends and foresees the evolution of RPA by integrating artificial intelligence, learning of machine and cognitive automation into RPA frameworks. Moreover, it has analyzed the technical constraints, including the scalability, security issues and interoperability, while investigating regulatory and ethical considerations that are so important to the ethical utilization of RPA. By providing a comprehensive analysis of RPA with new future trends in this study, researcher’s ambitions to provide valuable insights the benefits of it on industrial performances from the gap observed so as to guide the strategic decision and future implementation of the RPA.
文摘The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research study, an extensive literature review was conducted, which helped in gaining a theoretical understanding. These findings were then justified with the help of current and relevant secondary sources in the analysis section. The findings suggested that RPA is quite advantageous for implementing in varied aspects of a business, especially in the field of project management. However, it can pose several challenges, which need to be taken into due consideration by the organizations during execution such as the capabilities of the employees and the abilities of the existing systems to incorporate automation, among others. It was ultimately concluded that RPA is highly advantageous for project management teams but its effective implementation is the key to success.
文摘This research paper explores the significance of the “A360 Bot Framework” in Automation 360 (A360) platform. A360 is Automation Anywhere’s cloud-based automation platform designed to make business processes more efficient. It’s known for its user-friendly interface, which allows both technical and non-technical users to use it effectively. Automation 360 is versatile, offering a range of tools to automate tasks, manage complex workflows, and integrate various applications. It empowers users to create customized solutions for their specific needs. Being cloud-based it ensures scalability, security, and real-time updates, making it a top choice in the fast-paced digital world. As demand for A360 rises, having a structured way to develop bots becomes crucial. The paper introduces the “A360 Bot Framework” as a guiding approach for bot developments. This framework ensures consistency and scalability, especially when working with both professional developers and non-technical users. It outlines key elements like setting up work folders, managing logs, dealing with errors, and ensuring secure bot execution. Ultimately, the “A360 Bot Framework” is presented as a foundational structure that enhances consistency, resiliency, and development efficiency. By following predefined practices and templates, bot developers can mitigate risks and streamline debugging processes. This framework accelerates the bot development lifecycle, allowing developers to focus on specific functionalities and value-added features. The research paper aims to provide insights into the benefits of adopting the A360 Bot Framework and its potential to revolutionize A360 bot development practices, leading to more efficient and effective automation solutions.
文摘随着机器人流程自动化(Robotic Process Automation,RPA)的发展势头越来越猛烈,高校为满足企业对RPA人才的需求纷纷开设相关课程。如何为高职院校提供一种尊重学生差异的RPA新技术课程教学方式,是当前亟须解决的问题之一。通过分析生源特点、学生需求以及RPA课程目前在高职院校的开设情况,提出基于RPA新技术课程的分层教学模式。并在RPA课堂中探索实践该教学模式的可行性,阐述分层确立教学目标、建立分层教学资源、分层教学实施和分层教学评价的全过程。
文摘文章探讨了基于计算机通信技术的机器人流程自动化(Robotic Process Automation,RPA)系统设计,旨在解决复杂业务场景下的任务协同问题。通过采用模块化架构,包括任务调度、通信接口、RPA执行引擎及结果处理器等关键组件,实现了系统的分布式部署与高效协作。利用改进的任务调度算法和多种通信协议,确保了任务的合理分配与数据的安全传输。实验结果显示,在分布式模式下,系统展现出显著的性能优势,为企业的数字化转型提供了有力的技术支持。
文摘为规范电网设备运行,提高巡检作业的效率,引进机器人流程自动化(Robotic Process Automation,RPA)技术,研究电网设备运行巡检技术。通过物联网技术,将电网中的各类设备、传感器、控制器等互联互通,设计电网设备运行环境通信网络的全覆盖布局,实现数据的实时采集、传输、处理与分析;根据电网设备的空间布局,设定跟踪控制目标,利用RPA技术中的动态执行指数(Directional Movement Index,DEI),数字化跟踪电网设备运行数据;聚合与统计跟踪得到的电网设备运行数据,通过地理信息系统(Geographic Information System,GIS)或现场测量等手段,获取每个电网设备的精确空间坐标;通过分配巡检路径,实现对设备运行的智能巡检。对比实验结果证明,设计的巡检技术应用效果良好,可以提高巡检效率,缩短巡检路径,实现对所有设备的规范化巡检。
文摘为解决机器人流程自动化(Robotic Process Automation,RPA)领域缺乏统一流程描述方法的问题,文中提出了一种用于定义和描述RPA流程的规范,主要包括RPA流程中的各类对象,可用于分析复杂RPA应用场景;同时,为更好地定义与描述工作流系统的流程,并解决RPA领域暂无流程建模标准而导致的流程脚本不兼容问题,以业务流程模型和符号(Business Process Model and Notation,BPMN)标准为基础,定义了一套RPA流程建模符号及标签系统。最后,以一种银行系统的典型业务流程为例,展示了使用该规范定义与描述此业务流程的结果,并使用Petri网进行了流程的正确性证明。
文摘机器人流程自动化技术可以将人机交互的业务进行脚本化设计,通过逐一执行自动访问、执行、记录等模块化的功能,高效解决重复、复杂的流程,能够节约人工成本并可靠的完成既定任务。对RPA(Robotic process automation)技术进行了研究,分析其自动化执行工作流程的工作原理,针对配网抢修工单监控业务进行RPA开发,设计一套可定时触发轮询监控工单状态的RPA脚本。通过推广应用验证了所设计的配网工单监控RPA机器人的可行性,为进一步推广研究RPA技术提供参考。
文摘机器人流程自动化(Robotic Process Automation,RPA)成为各行各业数字化转型的重要技术,具有显著的降本增效作用。在日常信息化系统操作中,存在许多重复低价值的操作,极大地影响了工作效率。文章从RPA技术入手,从机器人流程自动化市场应用前景出发,分析国内外RPA技术研究现状,并基于实际案例,分析企业开展RPA项目的过程及成效。
文摘Heartbeat detection stays central to cardiovascular an electrocardiogram(ECG)is used to help with disease diagnosis and management.Existing Convolutional Neural Network(CNN)-based methods suffer from the less generalization problem thus;the effectiveness and robustness of the traditional heartbeat detector methods cannot be guaranteed.In contrast,this work proposes a heartbeat detector Krill based Deep Neural Network Stacked Auto Encoders(KDNN-SAE)that computes the disease before the exact heart rate by combining features from multiple ECG Signals.Heartbeats are classified independently and multiple signals are fused to estimate life threatening conditions earlier without any error in classification of heart beat.This work contained Training and testing stages,in the preparation part at first the Adaptive Filter Enthalpy-based Empirical Mode Decomposition(EMD)is utilized to eliminate the motion artifact in the signal.At that point,the robotic process automation(RPA)learning part extracts the effective features are extracted,and normalized the value of the feature then estimated utilizing the RPA loss function.At last KDNN-SAE prepared training for the data stored in the dataset.In the subsequent stage,input signal compute motion artifact and RPA Learning the evaluation part determines the detection of Heartbeat.So early diagnosis of heart failures is an essential factor.The results of the experiments show that our proposed method has a high score outcome of 0.9997.Comparable to the CIF,which reaches 0.9990.The CNN and Artificial Neural Network(ANN)had less score 0.95115 and 0.90147.
文摘I present a solution that explores the use of A360 subtasks as a comparable concept to functions in programming. By leveraging subtasks as reusable and maintainable functions, users can efficiently develop customized high-quality automation solutions. Additionally, the paper introduces the retry framework, which allows for the automatic retrying of subtasks in the event of system or unknown exceptions. This framework enhances efficiency and reduces the manual effort required to retrigger bots. The A360 Subtask and Retry Framework templates provide valuable assistance to both professional and citizen developers, improving code quality, maintainability, and the overall efficiency and resiliency of automation solutions.
