Fighting against Vampire Appliances through Eco-Aware Things

López-de-Armentia, Juan; Casado-Mansilla, Diego; López‐de‐Ipiña, Diego

doi:10.1109/imis.2012.112

Cited by 14 publications

(5 citation statements)

References 5 publications

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“…As it was explained in [23], these modes are randomly detected with no rationale during a work-day in our laboratory due to the variety of hot beverages, consumer preferences and time to prepare a drink. The non-existent information about how use the coffee machine energy efficiently causes users indifference (i.e.…”

Section: Operating Modes -The Case Of Coffee Machinesmentioning

confidence: 99%

Reducing Energy Waste through Eco-Aware Everyday Things

López-de-Armentia

Casado-Mansilla

López-Pérez

et al. 2014

Mobile Information Systems

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Abstract. Society wastes much more energy than it should. This produces tons of unnecessary CO2 emissions. This is partly due to the inadequate use of electrical devices given the intangible and invisible nature of energy. This misuse of devices and energy unawareness is particularly relevant in public spaces (offices, schools, hospitals and so on), where people use electrical appliances, but they do not directly pay the invoice to energy providers. Embedding intelligence within public, shared appliances, transforming them into Eco-aware things, is valuable to reduce a proportion of the unnecessarily consumed energy. To this end, we present a twofold approach for better energy efficiency in public spaces: 1) informing persuasively to concerned users about the misuse of electronic appliances; 2) Customizing the operating mode of this everyday electrical appliances as a function of their real usage pattern. To back this approach, a capsule-based coffee machine placed in a research laboratory has been augmented. This device is able to continuously collect its usage pattern to offer feedback to coffee consumers about the energy wasting and also, to intelligently adapt its operation to reduce wasted energy. To this aim, several machine learning approaches are compared and evaluated to forecast the next-day device usage.

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Section: Operating Modes -The Case Of Coffee Machinesmentioning

confidence: 99%

Reducing Energy Waste through Eco-Aware Everyday Things

López-de-Armentia

Casado-Mansilla

López-Pérez

et al. 2014

Mobile Information Systems

Self Cite

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“…ITU Internet Reports" report published by the International Telecommunication Union (ITU) in 2005, the concept of "Internet of Things" were announced (ITU, 2005). However, the first Internet of Things application in history was used by a group of academics at the University of Cambridge in 1991 by sharing images of a coffee machine with a camera system over the Internet (Armentia et al, 2012). This expansion of the Internet leads to the emergence of new paradigms, and in this context, the Internet of Things, one of the new paradigms, is one of the hottest and most curious topics in information and communication technology today (Lee,et al, 2013).…”

Section: Cloud Computingmentioning

confidence: 99%

Digital Transformation in Beekeeping to Carrying Beehives into the Future

ALAKOÇ BURMA

2023

International Journal of Nature and Life Sciences

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Today, dynamic elements such as producer/consumer supply, demand, presentation, marketing and transportation transformed by technology; It has initiated a rapid change and transformation process in beekeeping, food production and agriculture sectors. Beekeeping activities; Today, it faces challenges such as climate change, disease threats, loss of habitat and bee colonies, and pesticides. It has become necessary to switch to digital transformation for the future, sustainability, efficiency, competitiveness of beekeeping and the general health of the agricultural sector. The digital transformation movement in beekeeping is a movement to bring together traditional beekeeping with modern technologies. This article explores the importance and impact of digital transformation in the beekeeping industry from the perspective of the management information systems (MIS) field. It is aimed to discuss how the transformation can be supported in terms of management information systems and what kind of road map should be followed for future studies. Digital beekeeping; It improves the productivity of bees, monitors the health of bee colonies and optimizes decision-making processes. It also creates positive effects on plant diversity in the agricultural sector and world ecosystem health. The basis of this transformation is industry 4.0, such as IoT, sensors, big data, data management, data analysis, data mining, data security, artificial intelligence and cloud computing. These technologies can be used for disease monitoring, early diagnosis, pollination and plant flowering monitoring. It is thought that this transformation will have positive effects on both beekeepers and environmental factors and will make significant contributions to progress in this field and a more sustainable future.

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“…The goal of using this type of element as a means to create smart spaces is to ensure an optimal level of confidence and acceptance of ambient intelligence systems. Lopez-de-Armentia et al [ 19 ] provide an example of how an everyday smart object, such as a coffee maker, can bring about social change towards energy efficiency.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Software Architecture Based on Confident HCI for the Deployment of Sensitive Services in Smart Homes

Vega-Barbas

Pau

Martín-Ruiz

et al. 2015

Sensors

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Smart spaces foster the development of natural and appropriate forms of human-computer interaction by taking advantage of home customization. The interaction potential of the Smart Home, which is a special type of smart space, is of particular interest in fields in which the acceptance of new technologies is limited and restrictive. The integration of smart home design patterns with sensitive solutions can increase user acceptance. In this paper, we present the main challenges that have been identified in the literature for the successful deployment of sensitive services (e.g., telemedicine and assistive services) in smart spaces and a software architecture that models the functionalities of a Smart Home platform that are required to maintain and support such sensitive services. This architecture emphasizes user interaction as a key concept to facilitate the acceptance of sensitive services by end-users and utilizes activity theory to support its innovative design. The application of activity theory to the architecture eases the handling of novel concepts, such as understanding of the system by patients at home or the affordability of assistive services. Finally, we provide a proof-of-concept implementation of the architecture and compare the results with other architectures from the literature.

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Fighting against Vampire Appliances through Eco-Aware Things

Cited by 14 publications

References 5 publications

Reducing Energy Waste through Eco-Aware Everyday Things

Reducing Energy Waste through Eco-Aware Everyday Things

Digital Transformation in Beekeeping to Carrying Beehives into the Future

Adaptive Software Architecture Based on Confident HCI for the Deployment of Sensitive Services in Smart Homes

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