Study on Modeling of the Consciousness, Behavior and Desired Information of Occupants in Relation to Energy Saving

Abe, Hiroto; Rijal, Hom Bahadur; Bogaki, Kazuaki; Shukuya, Masanori; Mikami, Ayako

doi:10.3130/aije.84.93

Cited by 6 publications

(5 citation statements)

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“…e matrix element w (u, l) represents the distance between the two template elements m u and z l . Here, the Euclidean distance w(u, l) � (m u − z l ) 2 is used; that is, the sequences m and z are single similarity between frames [16].…”

Section: Action Recognitionmentioning

confidence: 99%

Walking Position Data in Football Training Based on Embedded Action Recognition System

Li¹

2022

Mobile Information Systems

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With the development of image recognition and pattern recognition, action recognition has become a hot research direction in the field of computer actions. Because the embedded platform has the advantages of small size and low power consumption, it is a good choice to use the embedded platform for action recognition. These sensor data are used to overcome the drift error of the gyroscope when the positioning data are collected, and the accuracy and reliability of the data are improved. The system uses two data forwarding nodes to aggregate the data of each sensor and then transmit it to the host computer. The data aggregation node can communicate and upload data by means of Bluetooth or wire. In order to deeply study the relevance of the embedded action recognition system in collecting football training positioning data, this paper uses simulation model establishment method, data collection method, and theory and practice combination method to collect samples, analyzes the embedded action recognition system, and streamlines the algorithm. Using computer technology as a support when building a simulation model, the first thing you need to have is a certain computer technology because when building a simulation model, not all objects can be modeled. At this time, only computer technology can be used as a support to build a simulation model of some objects and create an action recognition system that can record the position data in football training. After establishing the human body simulation recognition model, use MATLAB to extract the K bone information. When collecting, the human body is facing the K device, the number of acquisition frames is 25, 55, 75, 95, 105, and 205, and each frame number is collected 10 times. Take the average. The delay time is 4s. The result shows that the 20 key bone point outputs by K come from the RGB camera on the same side. Further study the actual utility of the compensated model in the presence of occlusion. They are worn on the middle of the thigh and calf, respectively. In a sensor, the measured value of thigh length L1 is 0.6 m, and the value of calf length L2 is 0.4 m. Take the right knee as an example. When the leg is raised, the b-axis coordinate increases by 2%, and the c-axis coordinate decreases by 1.8%. When the leg is lowered, the opposite is true. It can be seen that the compensated coordinate is consistent with the action. It is basically realized that starting from the embedded action recognition system, a model that can support the analysis of football positioning data is designed.

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Section: Action Recognitionmentioning

confidence: 99%

Walking Position Data in Football Training Based on Embedded Action Recognition System

Li¹

2022

Mobile Information Systems

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“…Solar power advocates could require such abilities as: comprehension of their and their scheme’s energy consumption (Abe et al , 2019); the availability to participate actively in OC decision making (Easthope, 2019); and personal connectedness, authority and credibility (Muhamad Ariff, 2018). …”

Section: Strata Governance Literature and Moamentioning

confidence: 99%

When individual action requires collective approval: a roadmap for solar power adoption by strata property owners

Charters

Heffernan²,

Daly³

2022

JSOCM

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Purpose This paper aims to examine a situation in which individual action requires collective approval – solar power adoption in strata properties – and offers a motivation-opportunity-ability theory-based model with which such a situation may be approached. Design/methodology/approach A Delphi methodology was undertaken for this study, with three iterative questionnaires administered online to a panel of strata property, renewable energy and sustainable housing experts. Findings The Delphi panel’s insights have informed a new conceptual model, the Strata Solar Champion Roadmap (SSCR), outlining the variables affecting strata-based solar power adoption. Research limitations/implications Researchers and practitioners are encouraged to test and enhance the model’s generalisability. Further case studies or quantitative analysis measuring the strength of the relationships identified in the SSCR model is particularly necessary. The SSCR could also be applied when examining other common strata governance disputes. Practical implications Policymakers and social marketers are encouraged to apply the SSCR when planning interventions to facilitate strata scheme solar power adoption. Furthermore, the SSCR offers guidance to strata property owners and strata schemes seeking to adopt solar power, thus increasing renewable energy use in a major sector of the Australian energy market. Originality/value Within this context, the SSCR’s conceptualisation of strata-based solar PV adoption provides new insights into individual behaviour change requiring collective approval.

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“…To begin with, they must perceive their knowledge to be sufficiently reliable and relevant to share with others (Kastner and Stern, 2015). They then need to be sufficiently knowledgeable about solar PV to be able to explain its benefits, in a manner that is both factually authoritative (Hugony et al, 2020) and mindful of the immediate concerns and priorities of fellow OC members (Abe et al, 2019). Such knowledge includes an awareness of not only their own energy consumption requirements but of the property's requirements as a whole (Altmann et al, 2018), including how installing and maintaining a solar PV system could affect residents' experience of the property (Puustinen et al, 2017).…”

Section: Abilitymentioning

confidence: 99%

“…Ideally, they would have joined the EC and thus become party to the OC's central decision-making processes (Easthope, 2019;Yau, 2018) and developed strong administrative and managerial skills (Ammar et al, 2012;Yau, 2018). They would be what Guilding et al (2015) describe as a "climate change champion", able to engage OC members at every stage of planning and implementation to ensure their contribution and support (Abe et al, 2019;Hugony et al, 2020).…”

Section: Abilitymentioning

confidence: 99%

A conceptual model identifying apartment owners' attitude formation towards solar photovoltaic (PV) adoption

Charters

Heffernan

2021

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PurposeThis paper addresses the current lack of solar photovoltaic (PV) adoption by Australian apartment dwellers by proposing a conceptual model that identifies and integrates the factors influencing owners' attitudes towards PV adoption.Design/methodology/approachThe conceptual model, which this paper terms the apartment-based solar adoption (ASA) model, is developed by applying motivation–opportunity–ability (MOA) theory to relevant findings in property development, green energy and strata governance literature.FindingsThe ASA model demonstrates the process by which an apartment-owning consumer may progress from considering solar PV adoption to recommending the action to their strata property's Owners' Committee (OC). It incorporates three motivational drivers (pragmatic considerations, perceived values and perceived social norms), three conditional mediators (location accessibility, resource availability and decision-making conditions) and three requirements from the consumer (actual and perceived knowledge, the ability to participate in decision-making and social connections and status).Research limitations/implicationsThis article contributes originality to research on two counts. Firstly, it provides a conceptual framework of specific relevance to issues concerning solar PV adoption, and secondly, it offers a systematic means for research into strata governance decision-making. Further research is required to develop the means with which to utilise the model prescriptively and measure longitudinal effects, such as ongoing trends in apartment owners' motivations. Further research is also recommended into how the ASA model may be utilised to identify generalisable consumer typologies among apartment owners.Practical implicationsThe ASA model may assist building maintenance providers in developing and marketing solar PV services tailored to apartment residents' requirements and enhance strata managers' ability to inform and guide apartment owners. In turn, property developers would be able to review apartment-based solar projects, measure their increased value and decreased energy costs and incorporate this information when planning future developments.Social implicationsThe ASA model may provide a template for apartment owners and owners' corporations considering solar PV for their property. Public policymakers could also refer to the model to incentivise apartment-based solar PV adoption, whether through designing local information campaigns, developing financial incentives or mitigating identified regulatory barriers. By facilitating solar PV adoption in Australian apartment housing, the model may ensure sustainable post-carbon energy consumption for Australia's housing stock and act as an example for high-density housing development internationally.Originality/valueThe ASA model addresses the many drivers and barriers known to affect solar PV adoption by apartment owners, presenting a framework on which to arrange these factors and outline their causal relationships. This framework may inform strata properties' future solar PV adoption initiatives by incorporating their specific physical characteristics, stakeholder dynamics and institutional structure. It also consolidates and provides generalisability to the concepts established in current literature.

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Study on Modeling of the Consciousness, Behavior and Desired Information of Occupants in Relation to Energy Saving

Cited by 6 publications

References 0 publications

Walking Position Data in Football Training Based on Embedded Action Recognition System

Walking Position Data in Football Training Based on Embedded Action Recognition System

When individual action requires collective approval: a roadmap for solar power adoption by strata property owners

A conceptual model identifying apartment owners' attitude formation towards solar photovoltaic (PV) adoption

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