为改善户外哺乳环境,有效满足母婴群体户外哺乳需求,集成AHP-QFD-TRIZ理论方法应用于户外哺乳坐具设计中,以完成户外哺乳坐具设计,优化母婴群体户外游玩体验。首先基于用户访谈收集用户需求,然后借助层次分析法(Analytic Hierarchy Proc...为改善户外哺乳环境,有效满足母婴群体户外哺乳需求,集成AHP-QFD-TRIZ理论方法应用于户外哺乳坐具设计中,以完成户外哺乳坐具设计,优化母婴群体户外游玩体验。首先基于用户访谈收集用户需求,然后借助层次分析法(Analytic Hierarchy Process,AHP)求解用户需求权重,再经由质量功能展开(Quality Function Deployment,QFD)将用户需求映射为哺乳坐具的设计要求,识别出重点设计要求及其存在的三对技术矛盾组,在此基础上引入发明问题解决理论(Theory of Inventive Problem Solving,TRIZ)寻求解域,指导完成户外哺乳坐具的方案设计。集成AHP-QFD-TRIZ理论可有效帮助设计人员在设计活动中识别出因满足用户关键需求而可能存在的技术矛盾,并迅速寻找最佳解,进而实现户外哺乳坐具的创新设计,提升设计效率和设计可行性。展开更多
The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)w...The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)while maintaining cost-efficiency and sustainable deployment.Traditional strategies struggle with complex 3D propagation,building penetration loss,and the balance between coverage and infrastructure cost.To address this challenge,this study presents the first application of a Global-best Guided Quantum-inspired Tabu Search with Quantum-Not Gate(GQTS-QNG)framework for 3D base-station deployment optimization.The problem is formulated as a multi-objective model that simultaneously maximizes coverage and minimizes deployment cost.A binary-to-decimal encodingmechanism is designed to represent discrete placement coordinates and base station types,leveraging a quantum-inspired method to efficiently search and refine solutions within challenging combinatorial environments.Global-best guidance and tabu memory are integrated to strengthen convergence stability and avoid revisiting previously explored solutions.Simulation results across user densities ranging from 1000 to 10,000 show that GQTS-QNG consistently finds deployment configurations achieving full coverage while reducing deployment cost compared with the state-of-the-art algorithms under equal iteration times.Additionally,our method generates welldistributed and structured Pareto fronts,offering diverse planning options that allow operators to flexibly balance cost and performance requirements.These findings demonstrate that GQTS-QNG is a scalable and efficient algorithm for sustainable 3D cellular network deployment in B5G/6G urban scenarios.展开更多
针对未来城市地下空间作战在城市作战中越来越重要的发展趋势,为解决当前地下空间作战研究不足、能力需求不清的问题,采用基于灰色关联分析的质量功能展开方法(grey quality function deployment,GQFD),在充分研究分析城市地下夺控作战...针对未来城市地下空间作战在城市作战中越来越重要的发展趋势,为解决当前地下空间作战研究不足、能力需求不清的问题,采用基于灰色关联分析的质量功能展开方法(grey quality function deployment,GQFD),在充分研究分析城市地下夺控作战概念和“任务—能力”基本需求的基础上,建立了灰色关联分析和质量屋需求模型,经分析计算得到了城市地下夺控作战关键能力需求指标和重要度排序,为开展城市地下作战研究和装备需求论证建设提供了一定依据。展开更多
文摘为改善户外哺乳环境,有效满足母婴群体户外哺乳需求,集成AHP-QFD-TRIZ理论方法应用于户外哺乳坐具设计中,以完成户外哺乳坐具设计,优化母婴群体户外游玩体验。首先基于用户访谈收集用户需求,然后借助层次分析法(Analytic Hierarchy Process,AHP)求解用户需求权重,再经由质量功能展开(Quality Function Deployment,QFD)将用户需求映射为哺乳坐具的设计要求,识别出重点设计要求及其存在的三对技术矛盾组,在此基础上引入发明问题解决理论(Theory of Inventive Problem Solving,TRIZ)寻求解域,指导完成户外哺乳坐具的方案设计。集成AHP-QFD-TRIZ理论可有效帮助设计人员在设计活动中识别出因满足用户关键需求而可能存在的技术矛盾,并迅速寻找最佳解,进而实现户外哺乳坐具的创新设计,提升设计效率和设计可行性。
基金supported by the National Science and Technology Council,Taiwan,under Grants 113-2221-E-260-014-MY2 and 114-2119-M-033-001.
文摘The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)while maintaining cost-efficiency and sustainable deployment.Traditional strategies struggle with complex 3D propagation,building penetration loss,and the balance between coverage and infrastructure cost.To address this challenge,this study presents the first application of a Global-best Guided Quantum-inspired Tabu Search with Quantum-Not Gate(GQTS-QNG)framework for 3D base-station deployment optimization.The problem is formulated as a multi-objective model that simultaneously maximizes coverage and minimizes deployment cost.A binary-to-decimal encodingmechanism is designed to represent discrete placement coordinates and base station types,leveraging a quantum-inspired method to efficiently search and refine solutions within challenging combinatorial environments.Global-best guidance and tabu memory are integrated to strengthen convergence stability and avoid revisiting previously explored solutions.Simulation results across user densities ranging from 1000 to 10,000 show that GQTS-QNG consistently finds deployment configurations achieving full coverage while reducing deployment cost compared with the state-of-the-art algorithms under equal iteration times.Additionally,our method generates welldistributed and structured Pareto fronts,offering diverse planning options that allow operators to flexibly balance cost and performance requirements.These findings demonstrate that GQTS-QNG is a scalable and efficient algorithm for sustainable 3D cellular network deployment in B5G/6G urban scenarios.
文摘针对未来城市地下空间作战在城市作战中越来越重要的发展趋势,为解决当前地下空间作战研究不足、能力需求不清的问题,采用基于灰色关联分析的质量功能展开方法(grey quality function deployment,GQFD),在充分研究分析城市地下夺控作战概念和“任务—能力”基本需求的基础上,建立了灰色关联分析和质量屋需求模型,经分析计算得到了城市地下夺控作战关键能力需求指标和重要度排序,为开展城市地下作战研究和装备需求论证建设提供了一定依据。
