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

Yazdan DANESHVAR, Majid SABZEHPARVAR, Seyed Amir Hossein HASHEMI

Frontiers in Energy 2022, Volume 16, Issue 4,   Pages 651-660 doi: 10.1007/s11708-020-0699-7

Abstract: In this paper, a novel cooling control strategy as part of the smart energy system that can balance thermalFor this goal, a general form of a building was coupled by the smart cooling system (SCS) and the consumption

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

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Finding misplaced items using amobile robot in a smart home environment Research Articles

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

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1036-1048 doi: 10.1631/FITEE.1800275

Abstract: Smart homes can provide complementary information to assist home service robots.robotic misplaced item finding (MIF) system, which uses human historical trajectory data obtained in a smarthome environment.We present MIF experiments in a smart home testbed and the experimental results verify the accuracy and

Keywords： Home service robot     Smart home     Heterogeneous sensors     Autonomous robot retrieval    

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Construction Path of Smart Health Care Platform for the Elderly in China

Hou Hanpo, Wei He, Wang Yingchao, Yu Jin, Qiu Guixing

Strategic Study of CAE 2022, Volume 24, Issue 2,   Pages 170-178 doi: 10.15302/J-SSCAE-2022.02.023

Abstract: To address this, it is necessary to establish a smart health care platform for the elderly in China usingIn this paper, we analyze the construction background, concept, and development status of smart healthUsing the smart health care platform established in Xihu District of Hangzhou City as a case, we analyze

Keywords： Ageing     Healthy China     home-based community care for the elderly     smart health care for the elderly    

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

Frontiers of Engineering Management   Pages 577-591 doi: 10.1007/s42524-022-0203-7

Abstract: 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.

Keywords： 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

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 254-266 doi: 10.1007/s11708-020-0665-4

Abstract: This paper investigates the scheduling strategy of schedulable load in home energy management system

Keywords： distributionally robust optimization (DRO)     home energy management system (HEMS)     receding horizon optimization    

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State identification of home appliance with transient features in residential buildings

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 130-143 doi: 10.1007/s11708-022-0822-z

Abstract: 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.

Keywords： 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

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 142-158 doi: 10.1007/s42524-019-0065-9

Abstract: partner that implements information technologies on its construction sites, with a strong preference for home-made

Keywords： 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

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 389-402 doi: 10.1631/FITEE.1500385

Abstract: Accurate home location is increasingly important for urban computing.We revisit this research topic and infer home location within 100 m×100 m squares at 70% accuracy forSince 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 publiclyResults in multiple geographic regions demonstrate both the effectiveness and added value of our home

Keywords： Home location     Mobility patterns     Healthcare    

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Blockchain-based smart contract for smart payment in construction: A focus on the payment freezing and

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 177-195 doi: 10.1007/s42524-021-0184-y

Abstract: Recent development in blockchain technology, particularly its smart contract, seems to provide a newThis study aims to develop a blockchain-based smart contract (BBSC) system for smart payment in the constructionprototype system can improve the certainty and efficiency of the progress payment, thereby enabling smart

Keywords： blockchain     construction project     smart contract     smart payment     payment dispute    

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A literature review of smart warehouse operations management

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 31-55 doi: 10.1007/s42524-021-0178-9

Abstract: The “smart warehouse” system, which is equipped with emerging warehousing technologies, is increasinglyThis study provides a holistic view of operations management problems within the context of smart warehousesWe provide a framework to review smart warehouse operations management based on the characteristics ofsmart warehouses, including the perspectives of information interconnection, equipment automation, processThis study could provide future research directions on smart warehouses for academia and industry practitioners

Keywords： smart warehouse     operations management     interconnection     automation     integration     sustainability    

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A home energy management approach using decoupling value and policy in reinforcement learning

熊珞琳,唐漾,刘臣胜,毛帅,孟科,董朝阳,钱锋

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1261-1272 doi: 10.1631/FITEE.2200667

Abstract: electric vehicles and the flexibility of household appliances, it is feasible to dispatch energy in homeIn this paper, a novel home energy management (HEM) approach is proposed based on a data-driven deepunexpected events, and traffic conditions is introduced to describe the dynamic energy demand of EVs in home

Keywords： Home energy system     Electric vehicle     Reinforcement learning     Generalization    

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Potential advantages in combining smart and green infrastructure over silo approaches for future cities

Yamuna KALUARACHCHI

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 98-108 doi: 10.1007/s42524-020-0136-y

Abstract: Cities are incorporating smart and green infrastructure components in their urban design policies, adaptingResearch has illustrated that smart green infrastructure (SGI) provides not only climate change resilienceWith the growing demand for smart technology, a series of problems and challenges, including governanceThis paper explores the potential to transition from grey, green, or smart silos to work with nature-basedMoreover, the advantages of using integrated smart, green nature-based solutions are discussed.

Keywords： grey infrastructure     green infrastructure     smart infrastructure     smart and green combined infrastructure     smart cities     future cities    

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Smart contract applications in the built environment: How prepared are Nigerian construction stakeholders

Frontiers of Engineering Management doi: 10.1007/s42524-023-0275-z

Abstract: Studies have demonstrated that advanced technology, such as smart contract applications, can enhanceSmart contract technology, exemplifying blockchain technologies, has the potential to improve transparencyConsequently, this study seeks to explore the relevance of smart contract technology and address thechallenges impeding its adoption, offering strategies to mitigate the obstacles faced by smart contractThe study duly recognizes the significance of smart contract applications within the sector.

Keywords： built environment industry     digitalization     Nigeria     smart contract     technological revolution    

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Operations management of smart logistics: A literature review and future research

Bo FENG,Qiwen YE

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 344-355 doi: 10.1007/s42524-021-0156-2

Abstract: Thus, smart logistics has become a promising solution for handling the increasing complexity and volumeOperations management research on smart logistics mainly concerns the application of underlying technologies

Keywords： smart logistics     operations management     optimization     Internet of Things    

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DSM in an area consisting of residential, commercial and industrial load in smart grid

Balasubramaniyan SARAVANAN

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 211-216 doi: 10.1007/s11708-015-0351-0

Abstract: With the latest introduction of the demand side management (DSM) in smart grids, the power distributionThe interaction is performed with the help of the devices known as the smart meter.

Keywords： demand side management (DSM)     smart grids     peak to average ratio (PAR)     smart meters and logarithmic price    

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Title Author Date Type Operation

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

Yazdan DANESHVAR, Majid SABZEHPARVAR, Seyed Amir Hossein HASHEMI

Journal Article

Finding misplaced items using amobile robot in a smart home environment

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

Journal Article

Construction Path of Smart Health Care Platform for the Elderly in China

Hou Hanpo, Wei He, Wang Yingchao, Yu Jin, Qiu Guixing

Journal Article

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

Journal Article

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

Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE

Journal Article

State identification of home appliance with transient features in residential buildings

Journal Article

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

Conrad BOTON, Éric ST-PIERRE, Gabriel LEFEBVRE

Journal Article

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

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

Journal Article

Blockchain-based smart contract for smart payment in construction: A focus on the payment freezing and

Journal Article

A literature review of smart warehouse operations management

Journal Article

A home energy management approach using decoupling value and policy in reinforcement learning

熊珞琳,唐漾,刘臣胜,毛帅,孟科,董朝阳,钱锋

Journal Article

Potential advantages in combining smart and green infrastructure over silo approaches for future cities

Yamuna KALUARACHCHI

Journal Article

Smart contract applications in the built environment: How prepared are Nigerian construction stakeholders

Journal Article

Operations management of smart logistics: A literature review and future research

Bo FENG,Qiwen YE

Journal Article

DSM in an area consisting of residential, commercial and industrial load in smart grid

Balasubramaniyan SARAVANAN

Journal Article