Intelligent Kano classification of product features based on customer reviews

Product features can be classified into different categories based on customer opinions. The rapid development of artificial intelligence and machine learning paves the way toward computational analysis of customer reviews for opinion mining. This paper presents an Intelligent Kano framework to extract, quantify, and classify different product features based on customer reviews. The framework is enabled by a novel integration of multiple artificial intelligence and machine learning techniques such as sentiment analysis and anomaly detection. A case study is conducted to validate the framework’s effectiveness. Over 12,000 customer reviews on two coffee machines are analyzed for the classification.     

Extending social responsibility to small and medium-sized suppliers in supply chains: A fuzzy-set qualitative comparative analysis

Buying firms’ sales and reputation will be greatly damaged by any non-responsible behaviors on the part of suppliers, especially when those suppliers, like small and medium-sized enterprises (SMEs), have restricted resources and capabilities. To eradicate these risks, a growing number of buying firms have introduced socially responsible supplier development (SRSD). SRSD, including monitoring and evaluating suppliers, can provide them with incentives and assistance. Based on configuration theory and contingency theory, fuzzy-set qualitative comparative analysis (fsQCA) is adopted in this study to examine how SRSD practices adopted by buying firms, supply chain partnership, and market turbulence affect the corporate social responsibility (CSR) performance of their SME suppliers. We find that, as core factors, supplier monitoring, supplier assistance, and supply chain partnership can work together with peripheral conditions to achieve superior CSR performance. In addition, even at different levels of market turbulence, superior CSR performance can be realized through different causal configurations.     

中国废钢资源发展战略研究

 为提高中国钢铁工业的废钢比,推动钢铁工业的绿色发展,分析了中国废钢资源的概况、废钢行业技术发展现状和钢铁工业废钢利用的现状,并对中国未来废钢资源量进行预测。在此基础上,针对中国废钢资源的发展提出了3条战略判断和6条政策建议。     

基于京津冀协同发展的资源型企业生态工程建设

自然资源是人类赖以生存的重要资源,随着资源型企业的发展,非再生资源短缺与耗竭状况凸显,环境污染与生态危机非常严峻。京津冀协同发展,必须加强生态环境治理,推进生态文明建设。资源型企业作为京津冀共生体中的基本单元,在京津冀生态文明建设以及产业转型升级中发挥着重要作用。资源型企业生态工程以资源有效利用和环境保护为出发点,重视符合人性化和生态要求的设计,强调经济效益与生态效益之间的协调,旨在提升企业的生命力与综合竞争力。全面推进资源型企业实施生态工程,必须以"绿水青山"理念为引领,树立全员生态责任意识,加强生态工程的科学规划与设计,实现节能减排,提高资源综合利用率,大力推进生态恢复工作,提高生态环境管理水平。     

模型驱动的大数据流水线框架PiFlow

复杂流程的大数据处理多依托于流水线系统，但大数据处理的流水线系统在易用性、功能复用性、扩展性以及处理性能等方面存在不足。针对上述问题，为提高大数据处理环境的构建与开发效率,优化处理流程，提出了一种模型驱动的大数据流水线框架PiFlow。首先，将大数据处理过程抽象为有向无环图；然后，开发一系列组件用于构建数据处理流水线，并设计了流水线任务执行机制。同时，为规范和简化流水线框架的描述，设计了基于模型驱动的大数据流水线描述语言——PiFlowDL，该语言以模块化、层次化的方式对大数据处理任务进行描述。PiFlow以所见即所得(WYSIWYG)的方式配置流水线，集成了状态监控、模板配置、组件集成等功能，与Apache NiFi相比有2~7倍的性能提升。     

基于Atmega16A单片机声发射监测系统的设计与应用

基于Atmega16A单片机自主设计一套地压监测系统。整个过程完成了硬件的购置、软件的设计、数据采集程序的编写、系统管线布置方式的设计以及系统的调试等工作。本监测系统的设计及装置的开发具有灵敏度高、功耗低,信号传输可靠、实时、远程和多元化数据监测,后期其他类型数据监测可扩展性强,系统成本低等优点。采集数据的声发射能率分析结果显示,有两次较大的声发射率值与监测范围内两次较大冒顶事故都可以很好的对应。希望该系统的应用能为矿山地下开采过程中地压活动的监测和预警提供技术支持。     

Action-research-based optimisation model for health care behaviour change in rural India

In this research, we utilise a multi-method braided approach for a real-world health care intervention in rural India. We first use action research to conceptually underpin the role of self-help groups, disease profiles and appropriate interventions in health care behaviour change and improvement. Action research is then coupled with a non-linear integer-programming-based simulation to determine how health care resources need to be distributed over time, disease type and groups. The action research provides specific research questions and distributional forms needed for the optimisation analysis, while the non-linear integer-programming simulation provides specific recommendations on where and when to distribute resources. External validity of the study is ensured by the adoption of recommendations in the field as part of the action research. Findings from this research have important policy implications. For example, it identifies the value of continuous embedded interventions as opposed to periodic ones and the importance of flexibility in terms of which community groups and disease types to serve over time. This research also provides an important bridge between the operations research, health care in developing nations, organisational theory and humanitarian operations bodies of knowledge.     

航空装备保障智能化发展认识与探讨

自新一代人工智能技术迅猛发展以来，世界各国在智能领域动作频繁，军事化应用明显有加速之势，给装备保障带来了变革性发展的机遇。紧密围绕作战-装备-技术-保障之间的依托关系，从作战需求、装备特点、装备设计、诊断测试和技术驱动等五个角度梳理了装备保障发展的关键因素，给出了装备保障60余载发展历程的诸多原因和显著成果；通过对未来作战模式和未来作战平台保障需求的前瞻性判断，分析了未来作战需求和装备牵引装备保障转变的典型技术特征；并在装备保障领域人工智能技术的发展和应用现状总结分析的基础上，系统地提出了装备保障智能化发展的建设性意见和建议，为国内装备保障智能化发展探索了一个可能的技术方向。     

黄河流域生态保护和高质量发展制约因素与对策——基于“要素-空间-时间”三维分析框架

针对黄河流域生态保护和高质量发展的国家重大战略需求,本文指出缓解生态系统负荷"过满状态"和发展的矛盾是黄河流域生态保护和经济社会发展的主要矛盾,推进社会经济生态转型是解决这一矛盾的根本出路。在此基础上,首先,提出"要素-空间-时间"三维分析框架,明确推进黄河流域社会经济生态转型、实现生态保护和高质量发展应运用这一框架;其次,识别出落后的社会经济物质代谢、低效的人与自然共生空间格局、低效的路径依赖是制约黄河流域社会经济生态转型、实现黄河流域生态保护与高质量发展的关键因素;最后,提出了推进黄河流域经济物质代谢转型、空间重构和路径创造的关键性战略对策,即:做实以水定城、以水定人和以水定产,加快建设能源互联网黄河流域,推进别具一格创新驱动发展,打造信息网络强河以及推进流域经济深度一体化全球化。本文对深刻认识和把握黄河流域生态保护和高质量发展机理和方略具有一定理论和现实价值。