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光纤到屋；毫米波；Q波段；云虚拟现实；家庭网络；波束成形；射频集成电路 1

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Conservation and tourism development of house settlements in Moso matriarchate in Lugu Lake area

Yaoyun XING, Jian DAI, Zhujiu XIA

《结构与土木工程前沿（英文）》 2009年第3卷第2期页码 204-210 doi: 10.1007/s11709-009-0017-2

摘要： This paper analyzes the present situation of the settlement and the influence of tourism development and construction. It discusses the attitude toward the conservation and development of the settlement as well as the way to maintain the production, life, and culture of the Mosian and the way to promote the sustainable development of the settlement by tourism.

关键词： Moso matriatchate home conservation of settlement tourism development

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Heterogeneous length-of-stay modeling of post-acute care residents in the nursing home with competing

《工程管理前沿（英文）》页码 577-591 doi: 10.1007/s42524-022-0203-7

摘要： Post-acute care (PAC) residents in nursing homes (NHs) are recently hospitalized patients with medically complex diagnoses, ranging from severe orthopedic injuries to cardiovascular diseases. A major role of NHs is to maximize restoration of PAC residents during their NH stays with desirable discharge outcomes, such as higher community discharge likelihood and lower re/hospitalization risk. Accurate prediction of the PAC residents’ length-of-stay (LOS) with multiple discharge dispositions (e.g., community discharge and re/hospitalization) will allow NH management groups to stratify NH residents based on their individualized risk in realizing personalized and resident-centered NH care delivery. Due to the highly heterogeneous health conditions of PAC residents and their multiple types of correlated discharge dispositions, developing an accurate prediction model becomes challenging. Existing predictive analytics methods, such as distribution-/regression-based methods and machine learning methods, either fail to incorporate varied individual characteristics comprehensively or ignore multiple discharge dispositions. In this work, a data-driven predictive analytics approach is considered to jointly predict the individualized re/hospitalization risk and community discharge likelihood over time in the presence of varied residents’ characteristics. A sampling algorithm is further developed to generate accurate predictive samples for a heterogeneous population of PAC residents in an NH and facilitate facility-level performance evaluation. A real case study using large-scale NH data is provided to demonstrate the superior prediction performance of the proposed work at individual and facility levels through comprehensive comparison with a large number of existing prediction methods as benchmarks. The developed analytics tools will allow NH management groups to identify the most at-risk residents by providing them with more proactive and focused care to improve resident outcomes.

关键词： nursing home predictive analytics individualized prediction competing risks health outcomes

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Distributionally robust optimization of home energy management system based on receding horizon optimization

Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE

《能源前沿（英文）》 2020年第14卷第2期页码 254-266 doi: 10.1007/s11708-020-0665-4

摘要： This paper investigates the scheduling strategy of schedulable load in home energy management system (HEMS) under uncertain environment by proposing a distributionally robust optimization (DRO) method based on receding horizon optimization (RHO-DRO). First, the optimization model of HEMS, which contains uncertain variable outdoor temperature and hot water demand, is established and the scheduling problem is developed into a mixed integer linear programming (MILP) by using the DRO method based on the ambiguity sets of the probability distribution of uncertain variables. Combined with RHO, the MILP is solved in a rolling fashion using the latest update data related to uncertain variables. The simulation results demonstrate that the scheduling results are robust under uncertain environment while satisfying all operating constraints with little violation of user thermal comfort. Furthermore, compared with the robust optimization (RO) method, the RHO-DRO method proposed in this paper has a lower conservation and can save more electricity for users.

关键词： distributionally robust optimization (DRO) home energy management system (HEMS) receding horizon optimization (RHO) uncertainties

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State identification of home appliance with transient features in residential buildings

《能源前沿（英文）》 2022年第16卷第1期页码 130-143 doi: 10.1007/s11708-022-0822-z

摘要： Nonintrusive load monitoring (NILM) is crucial for extracting patterns of electricity consumption of household appliance that can guide users’ behavior in using electricity while their privacy is respected. This study proposes an online method based on the transient behavior of individual appliances as well as system steady-state characteristics to estimate the operating states of the appliances. It determines the number of states for each appliance using the density-based spatial clustering of applications with noise (DBSCAN) method and models the transition relationship among different states. The states of the working appliances are identified from aggregated power signals using the Kalman filtering method in the factorial hidden Markov model (FHMM). Thereafter, the identified states are confirmed by the verification of system states, which are the combination of the working states of individual appliances. The verification step involves comparing the total measured power consumption with the total estimated power consumption. The use of transient features can achieve fast state inference and it is suitable for online load disaggregation. The proposed method was tested on a high-resolution data set such as Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED) and it outperformed other related methods in the literature.

关键词： nonintrusive load monitoring (NILM) load disaggregation online load disaggregation Kalman filtering factorial hidden Markov model (FHMM) Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED)

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Should medium-sized contractors still implement home-made information technologies on construction sites

Conrad BOTON, Éric ST-PIERRE, Gabriel LEFEBVRE

《工程管理前沿（英文）》 2020年第7卷第1期页码 142-158 doi: 10.1007/s42524-019-0065-9

摘要： Despite the increasing dissemination of the Building Information Modeling (BIM) approach, many firms are still far from BIM and are only starting to adopt information technologies. We conducted an ethnographic action research with an industrial partner that implements information technologies on its construction sites, with a strong preference for home-made applications. Results show that the development of such applications faces difficulties and that multiple iterations and versions are necessary before achieving the expected goals because the required competencies are lacking among internal development teams. Moreover, initial needs evolve considerably throughout the application’s development and evaluation process. However, notwithstanding the difficulties encountered during the different application development phases, the industrial partner believes the decision to be worthwhile because of the desire to have internal control over the project data and the need to consider certain specificities related to business processes.

关键词： small- and medium-sized enterprises mobile computing mobile cloud computing information technology for construction construction site ethnographic action research

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Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

《信息与电子工程前沿（英文）》 2016年第17卷第5期页码 389-402 doi: 10.1631/FITEE.1500385

摘要： Accurate home location is increasingly important for urban computing. Existing methods either rely on continuous (and expensive) Global Positioning System (GPS) data or suffer from poor accuracy. In particular, the sparse and noisy nature of social media data poses serious challenges in pinpointing where people live at scale. We revisit this research topic and infer home location within 100 m×100 m squares at 70% accuracy for 76% and 71% of active users in New York City and the Bay Area, respectively. To the best of our knowledge, this is the first time home location has been detected at such a fine granularity using sparse and noisy data. Since people spend a large portion of their time at home, our model enables novel applications. As an example, we focus on modeling people’s health at scale by linking their home locations with publicly available statistics, such as education disparity. Results in multiple geographic regions demonstrate both the effectiveness and added value of our home localization method and reveal insights that eluded earlier studies. In addition, we are able to discover the real buzz in the communities where people live.

关键词： Home location Mobility patterns Healthcare

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智能家居环境中基于移动机器人的失物搜索 Research Articles

Qi WANG, Zhen FAN, Wei-hua SHENG, Sen-lin ZHANG, Mei-qin LIU

《信息与电子工程前沿（英文）》 2019年第20卷第8期页码 1036-1048 doi: 10.1631/FITEE.1800275

摘要：智能家居可提供补充信息以帮助家居服务机器人。本文利用智能家居环境中机器人所获取的历史轨迹数据，提出一种机器人失物搜索（MIF）系统。首先，提出一种多传感器融合方法定位和跟踪用户。其次，利用人物历史轨迹所包含的知识，提出一种路径规划方法生成机器人搜索路径。再次，应用一种基于卷积神经网络的实时物体检测单元检测目标丢失物品。基于搭建的智能家居测试平台进行MIF系统相关实验。最后，实验结果验证了所提方案的准确性和有效性。

关键词：家居服务机器人；智能家居；异质传感器；机器人自主失物搜索

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基于解耦价值和策略强化学习的家庭能源管理方法

熊珞琳,唐漾,刘臣胜,毛帅,孟科,董朝阳,钱锋

《信息与电子工程前沿（英文）》 2023年第24卷第9期页码 1261-1272 doi: 10.1631/FITEE.2200667

摘要：由于电动汽车的普及性和家用电器的灵活性，在动态电价下对家庭能源系统进行能源调度优化电力成本和保障居民舒适度是可行的。本文提出一种基于数据驱动的深度强化学习家庭能源管理方法。首先，为揭示影响电动汽车充电行为的多种不确定因素，引入一种结合驾驶员经验、突发事件和交通状况的改进数学模型描述电动汽车在家庭能源系统中的动态能量需求。其次，提出一种解耦优势演员-评论家（DA2C）算法，通过缓解策略和价值共享网络导致的过拟合问题提升能源优化性能。此外，策略函数和价值函数的解耦网络确保了所提方法在不可见场景中的泛化性。最后，将所提方法与现有方法进行综合实验比较。结果表明，该方法能在不同场景下优化用电成本并兼顾居住舒适度。

关键词：家庭能源系统电动汽车强化学习泛化性

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面向变化用户家居环境的服务机器人云辅助认知适应 Research Articles

王祺1,樊臻1,盛卫华2,张森林1,刘妹琴1,3

《信息与电子工程前沿（英文）》 2022年第23卷第2期页码 246-257 doi: 10.1631/FITEE.2000431

摘要：机器人需要更强的智能以胜任家居环境中的认知任务。本文提出一种新的云辅助家居服务机器人认知适应机制，它可以从其他机器人处学习新知识。在该机制中，在机器人处部署一种变化检测方法以检测用户家居环境变化，并触发认知适应过程，实现经云端从其他机器人处学习新知识。而认知适应是通过模型融合方法将知识从云端全局模型迁移至机器人本地模型得以实现。首先，提出3种不同模型融合方法执行认知适应过程，并给出影响模型融合方法的两个关键因素。其次，确定最适合云端至机器人知识转移的模型融合方法及其设置。再次，在一个变化的用户家居环境中进行案例研究，，实验结果验证了所提方案的效率和有效性。基于实验结果，提出一种云端至机器人知识转移模型融合的经验准则。

关键词：家居服务机器人；云端至机器人知识迁移；模型融合

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基于智能手机内置传感器的地铁轨道状态监测 Research Articles

从建力1,2,高鸣源3,4,王源5,陈嵘1,2,王平1,2

《信息与电子工程前沿（英文）》 2020年第21卷第8期页码 1119-1266 doi: 10.1631/FITEE.1900242

摘要：智能手机内置多种传感器，可作为一种智能传感设备收集信息（如振动与位置）。本文提出一种方法，以智能手机为传感平台，通过开发相应的应用软件实时获取车辆加速度、速度和位置信息，从而实现基于绿色理念的地铁轨道状态监测。通过智能手机和高精度传感器现场试验，根据检测数据的标准差、Sperling指标和ISO-2631计权加速度验证其准确性。结合无全球定位系统覆盖的隧道环境坐标校准算法，提出一种车辆定位方法。基于时域积分法，建立车辆纵向加速度与车辆运行区间里程位置的关系，计算相邻车站间的距离并与实际值比较。验证了所提方法有效性，且证实该方法可用于无全球定位系统覆盖的隧道环境。结果表明，站间距范围内车辆位置误差可控制在5%以内。该研究充分利用智能手机，为智能轨道交通领域人类生活提供一种智能且环保的方法。

关键词：加速度数据；智能监测；内置传感器；智能手机；地铁

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生态文明建设国内外经验总结分析

岳波,吴小卉,黄启飞,张林波

《中国工程科学》 2015年第17卷第8期页码 151-158

摘要：

20世纪60年代以来，面对环境污染、生态破坏、生存危机的严重威胁，西方国家在生态保护法律体系、环境经济政策、循环低碳绿色经济模式、生态保护意识培养、产业结构升级等方面开展了长期持久的工作，取得了显著成效。我国从20世纪中后期开始注重生态环境的建设与保护，到中国共产党第十八次全国代表大会将生态文明建设纳入中国特色社会主义建设“五位一体”的总体布局，生态文明已经从学术层面的探讨上升到政府的施政纲领和国家理念。在进一步推动我国生态文明进程中，我们应该做到以下几点：汲取古代生态思想精华；全面推进体制机制深化改革；强化生态环境保护法律执行；积极打造生态文明建设复合资本；大力推进产业结构调整与升级；高度重视国民生态文明素质教育。

关键词：生态文明建设国内外经验总结建议展望

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数字城市——一类开放的复杂巨系统

戴汝为

《中国工程科学》 2005年第7卷第8期页码 18-21

摘要：

国内对采用自动控制、信息与网络技术、人工智能等技术构建数字园区的工作已经启动，人们对今后数字城市的构建与发展给予很大的关注。从系统科学的观点出发，论述了数字城市是一类开放的复杂巨系统，可以用处理开放复杂巨系统的综合集成法(metasynthesis)来处理数字城市这类的系统。

关键词：数字城市信息技术综合集成智能家居

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Energy efficiency of small buildings with smart cooling system in the summer

Yazdan DANESHVAR, Majid SABZEHPARVAR, Seyed Amir Hossein HASHEMI

《能源前沿（英文）》 2022年第16卷第4期页码 651-660 doi: 10.1007/s11708-020-0699-7

摘要： In this paper, a novel cooling control strategy as part of the smart energy system that can balance thermal comfort against building energy consumption by using the sensing and machine programming technology was investigated. For this goal, a general form of a building was coupled by the smart cooling system (SCS) and the consumption of energy with thermal comfort cooling of persons simulated by using the EnergyPlus software and compared with similar buildings without SCS. At the beginning of the research, using the data from a survey in a randomly selected group of hundreds and by analyzing and verifying the results of the specific relationship between the different groups of people in the statistical society, the body mass index (BMI) and their thermal comfort temperature were obtained, and the sample building was modeled using the EnergyPlus software. The result show that if an intelligent ventilation system that can calculate the thermal comfort temperature was used in accordance with the BMI of persons, it can save up to 35% of the cooling load of the building yearly.

关键词： smart home heating and cooling systems saving energy optimal consumption of energy

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国内外工厂化循环水养殖模式水质处理研究进展

王峰,雷霁霖,高淳仁,黄滨,翟介明

《中国工程科学》 2013年第15卷第10期页码 16-23

摘要：

本文以循环水养殖模式工艺流程为主线，结合近年养殖模式科学研究和国内循环水养殖产业发展现状，围绕水质处理和应用，分别对系统中的大颗粒物滤除、臭氧消毒、气浮综合处理、生物滤池、紫外线杀菌、pH值调节等水质处理环节进行了综合分析和探讨，为今后创建适合中国国情的高端循环水养殖模式、推进循环水处理技术的精准化和实用化提供参考。

关键词：循环水养殖养殖模式水处理工艺

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国内外循环水养殖专利分析及启示

孙龙启,刘慧

《中国工程科学》 2016年第18卷第3期页码 115-120 doi: 10.15302/J-SSCAE-2016.03.020

摘要：

通过检索分析Thomson Innovation（TI）专利数据库中的国内外循环水养殖专利数据和研讨循环水养殖系统发展趋势，发现养殖水体净化工艺、养殖池结构设计、养殖水体温度调控、生物滤器和过滤设备等为目前国际循环养殖系统的研究热点，而国内循环水养殖系统的主要研究热点为鱼池设计、生物滤器、水循环装置、供氧、电机轴等；尽管部分国际研究热点在我国仍处于起步阶段，但近几年我国循环水养殖专利在数量上具有明显优势且增长较快，预计国内循环水养殖技术在未来会有快速发展。本文围绕我国“高效、优质、生态、健康、安全”的水产养殖业可持续发展战略目标，对我国循环水养殖发展提出了对策建议。

关键词：循环水养殖系统专利分析对策建议 Thomson Innovation