A360 Bot Framework: Empowering Smart Robotic Process Automation Solutions

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.

Synergistic catalysis of the N-hydroxyphthalimide on flower-like bimetallic metal-organic frameworks for boosting oxidative desulfurization

Synergic catalytic effect between active sites and supports greatly determines the catalytic activity for the aerobic oxidative desulfurization of fuel oils.In this work,Ni-doped Co-based bimetallic metal-organic framework(CoNi-MOF)is fabricated to disperse N-hydroxyphthalimide(NHPI),in which the whole catalyst provides plentiful synergic catalytic effect to improve the performance of oxidative desulfurization(ODS).As a bimetallic MOF,the second metal Ni doping results in the flower-like morphology and the modification of electronic properties,which ensure the exposure of NHPI and strengthen the synergistic effect of the overall catalyst.Compared with the monometallic Co-MOF and naked NHPI,the NHPI@CoNi-MOF triggers the efficient activation of molecular oxygen and improves the ODS performance without an initiator.The sulfur removal of dibenzothiophene-based model oil reaches 96.4%over the NHPI@CoNi-MOF catalyst in 8 h of reaction.Furthermore,the catalytic product of this aerobic ODS reaction is sulfone,which is adsorbed on the catalyst surface due to the difference in polarity.This work provides new insight and strategy for the design of a strong synergic catalytic effect between NHPI and bimetallic supports toward high-activity aerobic ODS materials.

Fault diagnosis and process monitoring using a statistical pattern framework based on a self-organizing map

A multivariate method for fault diagnosis and process monitoring is proposed. This technique is based on a statistical pattern(SP) framework integrated with a self-organizing map(SOM). An SP-based SOM is used as a classifier to distinguish various states on the output map, which can visually monitor abnormal states. A case study of the Tennessee Eastman(TE) process is presented to demonstrate the fault diagnosis and process monitoring performance of the proposed method. Results show that the SP-based SOM method is a visual tool for real-time monitoring and fault diagnosis that can be used in complex chemical processes.Compared with other SOM-based methods, the proposed method can more efficiently monitor and diagnose faults.

China's Process and Action Framework for Transforming to a Manufacturer of Quality

China's construction of a manufacturer of quality mainly relies on infrastructure improvement, cutting-edge technological breakthroughs, manufacturing development at the enterprise, sector and region levels, and the enactment and implementation of supporting policies, which can be combined to form an action framework for the construction of building China into a manufacturer of quality. At present, there are still some weak areas in China's construction of a manufacturer of quality, such as backward technologies comparing with world's leading players in some areas, limited contributes to the formulation of international standards, insu cient invests in building a system of supporting policies concerning nance, banking and taxation, and scant attention to cultural development as a manufacturer of quality. China should attach more importance to the technological research and development in these weak areas, align its manufacturing standards system with international standards, improve its system of supporting policies concerning nance, banking and taxation, and make more e orts in the development of advanced manufacturing system.

Development of the Data Processing and Analysis System Framework for ICF Experiments

An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing and analysis framework based on the ROOT system have been completed. Software for unfolding soft X-ray spectra has been developed to test the functions of this framework.

Hydroforming Process Design Using Finite Element Simulation for a Vehicle Instrument Panel Support Frame

Tubular hydroforming has attracted increased attention in the vehicle industry recently. This paper covers a complete hydroforming process design for an instrum ent panel frame by finite element simulation using the explicit code LS-DYNA. The manufacturing process for the instrument panel frame consists of tube pre-be nding and final hydroforming. To accomplish hydroforming process design successf ully, a thorough investigation of proper combination of process parameters such as internal hydraulic pressure and axial feeding is carried out by finite element simulation to predict the tube wall thickness and shape. An optimized process parameter combination is obtained and verified by the instrument panel frame hyd roforming experiment. The experiment shows that designed process parameters can be used in real production through FEA simulation, but tubular thinned amplitu de by FEA is less than that with the experiment.

OPEN Process Framework软件工程框架研究与应用

OPEN Process Framework(OPF)是使软件开发过程达到CMM5级标准的软件工程框架。文中讨论了基于OPF的软件过程的主要元素及实施过程,并把该过程应用于某油田数据采集系统的开发,实践证明基于OPF的软件过程可以提高团队的开发能力、降低风险、有效控制资源,为项目的开发提供了高度清晰的过程框架,规范管理和开发流程。

Designing Conceptual Framework for Aligning Service Oriented Architecture with Business Process

A problem in most of the organizations is to find the best way to mature their business processes. Process maturity can make the organizations more profitable and competent for other competitors. The problem can be solved by aligning service oriented architecture (using web services) with business processes within the organization. The purpose of this paper is to design a conceptual framework for aligning business processes with the Service Oriented Architecture and then prove the framework’s validity using simulation. An organization is working in education sector and wants to integrate its multiple web applications to allow data flow from one system to another. The framework will help the organization to align business process of service oriented architecture and to easily mold their business process according to business needs. The framework’s validity will be proved by simulating the entire process using Yet Another Workflow Language (YAWL).

Combining a Safety Management Process with a Safety Framework

A safety document management system, known as a Permit for Work (PFW) system is used commonly in the Power Industry to provide appropriate safety conditions for those working on the generating system. This paper investigates how a safety management process (+PFW) can be combined with a safety framework to enhance system effectiveness to ensure the requirements of users and suppliers can be met. While the paper makes some reference to the power industry, the concept is applicable to the management of systems in other domains.

Process-Oriented Requirements Engineering: User-Centric LORS Framework

In recent years, the process orientation requirements engineering field has received significant interest. However, dealing with ordinary users within an enterprise for developing as-is business process is very complex because this requires skills, responsibility, knowledge, and expertise of business processes. This research answers the following questions: 1) how to systematically gather information regarding as-is business process requirements in an informal environment and by non-expert users? and 2) how can an enterprise refine the identified business process with a semantic process model? The primary purpose of this research is to develop a supporting framework that is suitable for the definition of an as-is business process to be deployed within the enterprise environment. Hence, the focus is on gathering requirements to define the as-is business process. This framework concentrates on three significant aspects of this process: development, refinement, and serialization the semantics of the process model. To accomplish this objective, the LORS framework has been proposed, which consists of four phases (List, Order, Refinement, and Serialization). The framework presents a new unique technique to identify the business process, refine the process, and generate the model semantics. This study assumes that a simple and complete framework will help non-expert users define a high-quality as-is process, such that enhance and facilitate the matching process with existing reference models. We present a case study, evaluate the case study relative to specified criteria, and research the limitations and implications discovered from our research. This research concludes that the LORS framework is simple, flexible, visible, interactive, dynamic, and effective.

Research and Development of Virtual Instruments System Based on Depth Camera

This paper takes advantage of the depth camera of somatosensory kinect and sensors to implement gesture recognition and design a virtual instrument system. As long as the user waves his arm without the help of other equipments, our system can automatically recognize the hand gesture and make suitable sound. In order to achieve depth camera's detection of hands movement,this paper introduce the depth imaging technology Light Coding and bone tracking technology to obtain the actual position information and hand movement information of the human body. Feet movement detection uses sensor technology, different stampede strength outputs different digital number after AD conversion so that the intensity can be controlled. A series of experiments show that the system has good fluency and practicality and increased the fun of playing instruments.

Environmental Impact Assessment System and Process in Developing Countries

Environmental impact assessment (EIA), a decision-making process for project appraisal and sustainability adopted globally as an administrative process to identify, predict, evaluate, and monitor projects from their feasibility, preconstruction, construction, and operation stages to mitigate the adverse impacts and enhance the beneficial impacts for the protection of the affected environment, The study objective is to explore global EIA systems and processes and find shortcomings and implications for making the best instrument or tool to protect the natural environment from man-made activities over the project cycle. For this, the relevant literature on the EIA system and process was reviewed and evaluated through the application of quantitative and qualitative approaches, including the assessment of legal instruments and the adoption of EIA methodologies in developing countries. EIA, initiated in the 1970s in the US and Australia, expanded to developing countries and was amended in East and Southeast Asia from the 1970s to the 2000s. The evaluation assessed that the South Asian countries follow UNEP and IAIA guidelines, utilizing national laws and expert consultations, with screening criteria and administrative processes based on established environmental legislation. Ad hoc, checklist, matrix, network, overlay, cost-benefit analysis, and predictive or simulation in EIA practice are used to assess the environmental impacts of development activities. Failure to recommend major projects undermines public trust and prevents mitigation measures from being implemented. Most developing countries have followed EIA to fulfill the legal requirement with shadow-off monitoring and follow-up rather than to upset, reduce, or compensate for the project impacts as per size, location, and severity of the project area. The research and guidelines outlined in the IAIA principles and process have synthesized the best EIA practices worldwide. Public participation, impact coverage, scientific mitigation, transparent evidence-based approaches, monitoring, follow-up, legitimate approaches, and future appraisal opportunities are major concerns to be included in best EIA practice.

Maximizing the Efficiency of Automation Solutions with Automation 360: Approaches for Developing Subtasks and Retry Framework

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.

Key Technology and Complete-set Equipment for Intelligent Construction of HSR Simply-supported Girder Reinforcement Framework

In view of the problems such as backward production mode,poor quality stability,high safety risk and incomplete control system during erection of the reinforcement framework of simply-supported box girders for high-speed railway(HSR),and in combination with the key points and main challenges in the reinforcement framework construction of Guangzhou-Zhanjiang HSR,the overall technical route for the intelligent manufacturing of reinforcement framework of simply-supported box girders is put forward.The component design of reinforcement framework of simply supported box girder is carried out based on BIM,and the feasibility of the scheme is verified through segment assembly test.The assembly techniques are studied in combination with the mesh design scheme to achieve rapid forming of the reinforcement framework.R&D of automatic processing equipment for components,material transshipment equipment,automatic hoisting equipment and technological equipment for assembly clamping fixture are carried out to realize the overall design of equipment production line.An intelligent control system is developed for the whole-process intelligent construction of reinforcement framework to realize the full life-cycle applications for the workshop production and visual management including intelligent layout and quality traceability.The research results systematically optimize and innovate the assembly and forming technologies of reinforcement framework in the prefabrication beam yard of high-speed railway,realize the component processing,automatic assembly and information technology management,improve the construction quality,efficiency and information technology level of intelligent manufacturing of reinforcement framework of railway prefabricated beam as a whole,and reduce the construction cost of the project.The research has realized a major breakthrough in the construction technology of railway prefabricated box girders,which has the extensive technical and market promotion values.

高校大型仪器设备技术人员专业能力框架研究

大型仪器设备是高校科研创新和人才培养的重要设施,技术人员的专业能力是决定大型仪器设备使用效益的关键。构建专业能力框架是加强高水平技术队伍建设的基础性工作。从理论知识、实践技能、创新应用和研究品质4个维度构建了高校大型仪器设备技术人员专业能力框架,对技术人员应具备的专业能力进行了全面、科学的描述,对指导技术人员明确职业发展目标、规划专业发展路径有重要指导作用,对学校加强技术队伍建设顶层设计具有参考价值。

区块链赋能企业财务共享模式:应收账款管理

针对财务共享模式下应收账款管理中存在的信息共享不及时、票据处理效率低、甄别客户信用手段落后、交易信息可验证性弱的问题,本文基于业务财务、共享财务和战略财务三层职能框架,应用区块链的P2P网络广播技术、智能合约和共识机制技术,重构了财务共享模式下应收账款管理的系统框架,并从技术原理与业务流程两方面探讨了区块链赋能应收账款管理的实现路径。提出了从财务三层职能框架整体视角推进区块链技术的应用,对应收账款管理流程进行优化,以及基于区块链的财务生态系统建设等建议,为财务共享模式下全面提升应收账款管理效能提供了借鉴。

完善信息化追溯系统风险预警及干预对策对达芬奇手术器械处理流程的影响

目的探讨完善信息化追溯系统风险预警及干预对策对达芬奇手术器械处理流程的影响。方法选择2021年2月至2023年4月医院的162件达芬奇手术机器人的手术器械为研究对象,按照完善信息化追溯系统风险预警及干预对策实施时间分组,将2021年2月至2022年2月实施完善信息化追溯系统风险预警及干预对策前的80件达芬奇手术机器人的手术器械作为对照组,将2022年3月至2023年4月实施完善信息化追溯系统风险预警及干预对策后的82件达芬奇手术机器人的手术器械为观察组。对比两组灭菌工作质量、质量管理效果及使用满意度。结果观察组灭菌工作质量中的清洗合格率、包装正确率、监测记录合格率、存储发放正确率均高于对照组,差异有统计学意义(P<0.05);观察组器械管理质量中收发速度、供应质量、问题追溯、沟通服务方面评分均高于对照组,差异有统计学意义(P<0.05);观察组使用满意度高于对照组,差异有统计学意义(P<0.05)。结论完善信息化追溯系统风险预警及干预对策优化达芬奇手术机器人手术器械的处理流程,提高灭菌与管理质量,提升器械使用满意度。

智能物探技术的过去、现在与未来

通过梳理国内外人工智能技术在地球物理勘探(物探)领域中的发展历程、主要研究进展以及发展方向,总结了智能物探的优势和面临的难题,并提出了解决方案。研究结果表明:(1)物探技术在人工智能发展的第2次浪潮中开始与人工智能技术相结合,得益于物探领域数据量的指数级增长、硬件算力的高速发展以及不断出现的新深度学习框架,智能物探技术从早期的机器学习发展为目前的深度学习,在地震资料处理、解释等方面的应用中取得了大量研究成果。(2)目前智能物探技术被广泛应用于标签集的构建、去噪、断裂检测、层位与层序解释、地震相分类和异常体检测、岩性识别与油气藏开发、地震反演成像等方面,大幅提高了工作效率,降低了工作成本,克服了人工交互操作和人工经验的主观性和不可靠性,助力打破传统物探技术瓶颈。(3)智能物探技术的发展面临着缺少公开的标签数据集、缺少解决地球物理领域问题的智能化框架及尚未形成适用于地球物理领域共享的智能化开发平台等难题,可以从解决数据基础、构建智能平台、开展网络架构基础性研究及与应用场景结合等方面着手解决;此外,智能物探技术的发展方向还包含智能地震成像方法研究,储层成像方法研究,油气大数据挖掘、智能风险评估与智能决策以及超算软件装备研发等方面。

指针式仪表读数识别的研究现状与发展

在高温高压强磁场等恶劣环境下,指针式仪表有着优于数显式仪表的良好性能表现,对指针式仪表读数识别进行研究具有重要的现实意义。近年来,深度学习与计算机视觉紧密结合,基于深度学习的指针式仪表读数识别技术是前沿研究的重点方向。文中首先概述指针式仪表读数识别的过程,然后从3个方面论述指针式仪表读数识别技术的研究现状与进展:仪表图像的预处理、仪表表盘区域的检测和仪表的读数识别,论述过程中分别阐述基于传统机器学习的方法和基于深度学习的方法。最后介绍公开的仪表数据集和应用场景,并从深度学习算法、巡检机器人工作特点和公共数据集的建立3个方面对未来的研究进行展望与建议。

面向新工科建设的仪器类专业数字图像处理课程思政教学案例设计与探索

该文面向新工科建设的“复旦共识”“北京指南”“天大行动”,围绕“新工科建设”和“课程思政育人”两大目标,推进仪器类专业课程思政建设,把思想政治教育贯穿到人才培养体系的全过程,引导学生自尊、自信、自立和自强,强化学生“仪器报国、仪器强国”的使命担当,厚植家国情怀,培养担当民族复兴大任的时代新人。同时探讨结合学校的办学定位、专业特色、人才培养要求,探索课程思政教学与知识教学的有机统一。针对面向仪器类本科生开设的数字图像处理课程,从教学大纲、教案、教材等方面整理补充和仪器仪表行业相关的思政教育元素,设计题材新颖、具有时代特色的仪器类思政教学案例,实现具有“专业知识-思政育人-空天报国-敢为人先”特色的课程思政育人目标,进一步落实课程思政“立德树人成效”根本标准的具体化和可操作化。