Development of a distributed and integratable manufacturing execution system framework

Using remote method invocation (RMI) and a distributed object-oriented technique, this paper presents a systematic approach to developing a manufacturing execution system (MES) framework, which is open, modularized, distributed, configurable, interoperable and maintainable. Moreover, the design patterns for the framework .are developed and a variety of functional components are designed by inheriting appropriate patterns. And then an application is constructed by invoking corresponding methods of related components. An MES system implementing the framework and design patterns can be facilely integrated with other manufacturing applications, such as enterprise resource planning (ERP) and floor control system (FCS) .

A Conceptual and Computational Framework for Aspect-Based Collaborative Filtering Recommender Systems

Many datasets in E-commerce have rich information about items and users who purchase or rate them. This information can enable advanced machine learning algorithms to extract and assign user sentiments to various aspects of the items thus leading to more sophisticated and justifiable recommendations. However, most Collaborative Filtering (CF) techniques rely mainly on the overall preferences of users toward items only. And there is lack of conceptual and computational framework that enables an understandable aspect-based AI approach to recommending items to users. In this paper, we propose concepts and computational tools that can sharpen the logic of recommendations and that rely on users’ sentiments along various aspects of items. These concepts include: The sentiment of a user towards a specific aspect of a specific item, the emphasis that a given user places on a specific aspect in general, the popularity and controversy of an aspect among groups of users, clusters of users emphasizing a given aspect, clusters of items that are popular among a group of users and so forth. The framework introduced in this study is developed in terms of user emphasis, aspect popularity, aspect controversy, and users and items similarity. Towards this end, we introduce the Aspect-Based Collaborative Filtering Toolbox (ABCFT), where the tools are all developed based on the three-index sentiment tensor with the indices being the user, item, and aspect. The toolbox computes solutions to the questions alluded to above. We illustrate the methodology using a hotel review dataset having around 6000 users, 400 hotels and 6 aspects.

Artificial-intelligent-powered safety and efficiency improvement for controlling and scheduling in integrated railway systems

The multi-mode integrated railway system,anchored by the high-speed railway,caters to the diverse travel requirements both within and between cities,offering safe,comfortable,punctual,and eco-friendly transportation services.With the expansion of the railway networks,enhancing the efficiency and safety of the comprehensive system has become a crucial issue in the advanced development of railway transportation.In light of the prevailing application of artificial intelligence technologies within railway systems,this study leverages large model technology characterized by robust learning capabilities,efficient associative abilities,and linkage analysis to propose an Artificial-intelligent(AI)-powered railway control and dispatching system.This system is elaborately designed with four core functions,including global optimum unattended dispatching,synergetic transportation in multiple modes,high-speed automatic control,and precise maintenance decision and execution.The deployment pathway and essential tasks of the system are further delineated,alongside the challenges and obstacles encountered.The AI-powered system promises a significant enhancement in the operational efficiency and safety of the composite railway system,ensuring a more effective alignment between transportation services and passenger demands.

Framework of Distributed Coupled Atmosphere-Ocean-Wave Modeling System

In order to research the interactions between the atmosphere and ocean as well as their important role in the intensive weather systems of coastal areas, and to improve the forecasting ability of the hazardous weather processes of coastal areas, a coupled atmosphere-ocean-wave modeling system has been developed. The agent-based environment framework for linking models allows flexible and dynamic information exchange between models. For the purpose of flexibility, portability and scalability, the framework of the whole system takes a multi-layer architecture that includes a user interface layer, computational layer and service-enabling layer. The numerical experiment presented in this paper demonstrates the performance of the distributed coupled modeling system.

Development of a Framework for Equipment Health Management in the Mining Industries in Zambia

The Zambian mining industry is crucial to the national economy but struggles with inconsistent equipment maintenance practices. This study developed an Equipment Maintenance Management Framework (EMMF) tailored to the industry’s needs. Using surveys, interviews, and on-site visits at eight major mining companies, we identified significant variations in maintenance strategies, CMMS usage, and reliability engineering. The EMMF prioritizes predictive maintenance, efficient CMMS implementation, ongoing training, and robust reliability engineering to shift from reactive to proactive maintenance. We recommend adopting continuous improvement practices and data-driven decision-making based on performance metrics, with a phased EMMF implementation aligning maintenance with strategic business objectives. This framework is poised to enhance operational efficiency, equipment reliability, and safety, fostering sustainable growth in the Zambian mining sector.

The Golden Ratio Theorem: A Framework for Interchangeability and Self-Similarity in Complex Systems

The Golden Ratio Theorem, deeply rooted in fractal mathematics, presents a pioneering perspective on deciphering complex systems. It draws a profound connection between the principles of interchangeability, self-similarity, and the mathematical elegance of the Golden Ratio. This research unravels a unique methodological paradigm, emphasizing the omnipresence of the Golden Ratio in shaping system dynamics. The novelty of this study stems from its detailed exposition of self-similarity and interchangeability, transforming them from mere abstract notions into actionable, concrete insights. By highlighting the fractal nature of the Golden Ratio, the implications of these revelations become far-reaching, heralding new avenues for both theoretical advancements and pragmatic applications across a spectrum of scientific disciplines.

A Triple Nexus Water-Energy-Housing (WEH) Framework Modelling towards Improved Decision-Making in Humanitarian Operations

Given the challenges facing most humanitarian operations worldwide, a change of approach is needed to ensure greater sustainability of humanitarian settlements right from the planning stage. Some studies attribute unsustainability to inadequate provision of basic resources and highlight the apparent bottlenecks that prevent access to the meaningful data needed to plan and remedy problems. Most operations have relied on an “ad hoc ism” approach, employing parallel and disconnected data processing methods, resulting in a wide range of data being collected without subsequent prioritization to optimize interconnections that could enhance performance. There have been little efforts to study the trade-offs potentially at stake. This work proposes a new framework enabling all subsystems to operate in a single system and focusing on data processing perspective. To achieve this, this paper proposes a Triple Nexus Framework as an attempt to integrate water, energy, and housing sector data derived from a specific sub-system within the overall system in the application of Model-Based Systems Engineering. Understanding the synergies between water, energy, and housing, Systems Engineering characterizes the triple nexus framework and identifies opportunities for improved decision-making in processing operational data from these sectors. Two scenarios illustrate how an integrated platform could be a gateway to access meaningful operational data in the system and a starting point for modeling integrated human settlement systems. Upon execution, the model is tested for nexus megadata processing, and the optimization simulation yielded 67% satisfactory results, demonstrating that an integrated system could improve sustainability, and that capacity building in service delivery is more than beneficial.

The Study on the Framework and Implementation Scheme of the Railway Intelligent Cold Chain Logistics System

With the development of intelligent and communication technology, traditional logistics has gradually transformed into intelligent logistics. The construction of the railway intelligent cold chain logistics system is an effective measure to implement the structural adjustment of supply, which conforms to the times. Firstly, basic features and design principles of the railway intelligent cold chain logistics system were described. Secondly, target functions and the system framework of the railway intelligent cold chain logistics were put forward, which takes information service as a foundation, management service as a guarantee, business capability as kernel and expansion capability as support. Subsequently, the technical approaches were studied at the hardware, processing and software levels. Finally, development strategies of the railway intelligent cold chain logistics were discussed, including optimizing the layout of infrastructure, improving the performance of equipment, extending the reach of services, deepening the cooperation of technologies and promoting the formulation of standards which provides feasible references for the railway cold chain logistics to explore modern business models.

A Framework Study for Healthcare Information Systems

Healthcare information systems are crucial components for better coordination of healthcare. They focus on the proper generation, transmission, storage, and retrieval of health data. It is obvious that production of accurate, relevant, and timely health information is foundation of good decision making. Rapid progress in wireless communications and embedded systems result in wireless sensor networks to be employed even in biomedical applications as well as their prominent deployment options. This study proposes a healthcare information system framework which consists of such components as;wireless sensor networks, cellular networks, a MATLAB interface, a database, and a web based monitoring interface. A case study that includes sensing, transferring, storing and web based monitoring processes of ECG signal is also introduced in the study, so that the behavior of the system developed can be tested. The results show that the framework presented here can not only be employed as a healthcare information system, but it can also be used as an infrastructure in related research activities and consequently, lots of time can be saved from creating an experimental environment.

Indicator system and evaluation framework for sustainable development

An indicator system of sustainable development was established and an evaluation framework for sustainable development was drawn in this study.

Study of component-ware & application software framework based decision support system development

The view that the traditional method of DSS development is outdated, which results to the diversiform disadvantages of DSS product. Therefore the ideas of application software framework based development to the generation process of DSS is introduced and a modified flow chat of DSS development is proposed. Moreover, a formal description of the DSS software framework and its development is given. The analysis results indicates that not only does the new development flow ensure the DSS development global stability but also improves the software reusability level of the development process.

Towards a Comprehensive Security Framework of Cloud Data Storage Based on Multi Agent System Architecture

The tremendous growth of the cloud computing environments requires new architecture for security services. Cloud computing is the utilization of many servers/data centers or cloud data storages (CDSs) housed in many different locations and interconnected by high speed networks. CDS, like any other emerging technology, is experiencing growing pains. It is immature, it is fragmented and it lacks standardization. Although security issues are delaying its fast adoption, cloud computing is an unstoppable force and we need to provide security mechanisms to ensure its secure adoption. In this paper a comprehensive security framework based on Multi-Agent System (MAS) architecture for CDS to facilitate confidentiality, correctness assurance, availability and integrity of users' data in the cloud is proposed. Our security framework consists of two main layers as agent layer and CDS layer. Our propose MAS architecture includes main five types of agents: Cloud Service Provider Agent (CSPA), Cloud Data Confidentiality Agent (CDConA), Cloud Data Correctness Agent (CDCorA), Cloud Data Availability Agent (CDAA) and Cloud Data Integrity Agent (CDIA). In order to verify our proposed security framework based on MAS architecture, pilot study is conducted using a questionnaire survey. Rasch Methodology is used to analyze the pilot data. Item reliability is found to be poor and a few respondents and items are identified as misfits with distorted measurements. As a result, some problematic questions are revised and some predictably easy questions are excluded from the questionnaire. A prototype of the system is implemented using Java. To simulate the agents, oracle database packages and triggers are used to implement agent functions and oracle jobs are utilized to create agents.

Framework for a System of Systems Design Oriented to Evolution

A framework was proposed for designing a system of systems(SoS) that takes account of the system' s evolution over time.Given the design space of the SoS analysis,construct a multiepoch scenario design,SoS optimization,and robust designs.A hybrid model based on multi-agent and system dynamic models was used to analyze the evolution of an SoS and find robust designs.The framework can help decision makers generate a robust SoS structure based on the SoS' s capabilities over multiple epochs.

碳减排“时-空-效-益”统筹理论:总体框架

碳减排是典型复杂系统工程,且相比一般工程,具备长周期、跨区域、多主体、多目标等特征,因此,亟需创立一套针对性强且系统完备的碳减排系统工程理论和方法,以指导相关减排技术研发与工程实践。基于此,在明确碳减排系统工程定义与特征基础上,归纳了碳减排面临的减多少、何时减、谁来减、如何减、何效果五个核心问题,凝练了碳减排短期与长期、局部与整体、政府管制与市场机制、发展与减排“四对”统筹难题,并建立了碳减排“时-空-效-益”统筹理论的总体框架,包括时间统筹、空间统筹、效率统筹、收益统筹四个理论维度。

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。

海洋科学数据共享标准体系框架研究

本文调研了国内外相关领域标准体系的建设和应用现状,介绍了标准体系的构建原则、方法与技术路线,提出了由标准类型、标准类别和共享生命周期三个维度组成的参考模型,以及由基础标准、数据组织、汇交与整合、数据存储、发布与服务、数据利用、评估评价和数据安全8个大类、26个小类组成的海洋科学数据共享标准体系框架,全面覆盖了共享生命周期的关键业务节点,并从统筹构建标准明细表、加强全生命周期关键节点标准规范编制,以及标准宣贯和试点应用等方面提出下一步工作建议。

基于数据融合的隧道结构安全性能感知体系框架

随着交通基础设施建设持续扩大,大量隧道进入养护维修高峰期,结构安全风险呈滚动式周期性爆发趋势。目前隧道结构健康监测信息化和智能化程度较低,安全性能感知困难,严重影响了隧道的正常运维。本文立足于隧道结构健康监测和决策需求,提出了一种基于数物交互和数据融合的隧道结构安全性能感知体系框架。首先对隧道结构受力状态感知技术及其误差传播规律进行分析,并采用数物空间交互试验对支护结构各构件相互力学关系进行研究,并基于此建立多源数据各监测量之间的数学模型,对隧道整体结构和各构件的安全性能进行评估。结构安全感知体系可为隧道安全防灾和运维管理提供决策依据,对提高隧道工程现代化、信息化、智慧化管理水平具有重要意义。

黄河模拟器智慧化计算方法体系及应用前景

为促进黄河模拟器进入可操作阶段,尽快发挥黄河模拟器在解决黄河流域水资源短缺、经济不平衡以及生态脆弱等问题中的积极作用,深入梳理并构建了黄河模拟器智慧化计算方法体系。基于对智慧化计算概念的理解,分别从数据存储及预处理、模拟算力、迅速响应3个方面需求以及生态保护与管理、水资源高效利用、灾害评估与应对3个方面意义解析了黄河模拟器的智慧化计算的重要价值。依据黄河模拟器的建设框架,重点从模拟体系和服务体系两个方面详细归纳了智慧化计算方法的仿生智能计算、机器学习、模糊计算以及融合计算4个分支,展望了黄河模拟器智慧化计算方法带来的时代变革,发掘其在发展规划、灾害处理以及资源配置方面的巨大应用前景。

土木工程建造系统脆弱性研究综述

现有工程建造风险主要考虑风险事件发生概率与风险后果严重程度,少有结合系统脆弱性开展研究。脆弱性作为系统固有属性,在外界干扰下表现出的不利影响严重制约风险管控过程,但尚未有学者对土木工程建造系统脆弱性的研究现状进行科学评述。通过主题检索和学科分类,共筛选出103篇英文文献和96篇中文文献,运用Citespace文献分析软件统计了发表时间和期刊分布,归纳了研究热点和作者-机构合作情况;从脆弱性概念内涵、分析框架与评价过程等方面评述了土木工程建造系统的脆弱性。研究发现:土木工程建造系统脆弱性的研究当前仍处于探索阶段;常用脆弱性分析框架主要包括脆弱性递次演化分析框架、脆弱性-风险分析框架和灾害-脆弱性分析框架;脆弱性评价对象主要聚焦于施工安全系统、应急管理系统和项目管理系统;脆弱性影响因素识别和指标体系构建主要涵盖人-机-环-管框架、脆弱性特征维度框架和外部环境-项目参与方-项目特征框架。未来,可借鉴其他学科领域成熟的脆弱性理论成果,结合土木工程建造系统的特点,构建清晰准确的脆弱性概念与分析框架、探索科学适用的指标体系、深化实际应用与拓展研究。研究系统性梳理了土木工程建造系统脆弱性的研究现状,可为后续相关研究提供启发和参考。