Ambient Intelligence

Bick, Markus; Kummer, Tyge-F.

doi:10.1007/s12599-010-0117-5

Cited by 4 publications

(7 citation statements)

References 7 publications

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“…It is possible to create an environment that takes into account the personal requirements and preferences of the users and is capable of anticipating their needs and behaviours, and even interact with them in a user-friendly way (Bick & Kummer, 2010;Sadri, 2011).…”

Section: Definitions: Concepts and Paradigmsmentioning

confidence: 99%

“…ISTAG (Intelligence, n.d.) rejected a concrete definition for Aml in order to avoid restricting the concept (Bick & Kummer, 2010). As result, researches have been characterizing Ambient Intelligence in different ways:…”

Section: Definitions: Concepts and Paradigmsmentioning

confidence: 99%

“…(Vasilakos & Pedrycz, 2006) These definitions highlight the six different features that are generally expected in Ambient Intelligence technologies: sensitive, responsive, adaptive, transparent, ubiquitous, and intelligent. Through these definitions and features it can be seen the common characteristics between Aml and related concepts, such as: pervasive computing, ubiquitous computing and artificial intelligence (Bick & Kummer, 2010;Cook et al, 2009). In the next table it is presented a brief distinction of these concepts, with the use of short examples.…”

Section: Definitions: Concepts and Paradigmsmentioning

confidence: 99%

“…In the next table it is presented a brief distinction of these concepts, with the use of short examples. (Bick & Kummer, 2010).…”

Section: Definitions: Concepts and Paradigmsmentioning

confidence: 99%

“…But, ubiquitous computing is more focused on specific technical implementation, whereas in Aml the main focus is the users and their needs (Bick & Kummer, 2010).…”

Section: Origin Focal Pointmentioning

confidence: 99%

See 4 more Smart Citations

Selection constructive based hyper-heuristic for dynamic scheduling

Gomes

Madureira

Cunha

2015

2015 10th Iberian Conference on Information Systems and Technologies (CISTI)

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ii iii ResumoA função de escalonamento desempenha um papel importante nos sistemas de produção. Os sistemas de escalonamento têm como objetivo gerar um plano de escalonamento que permite gerir de uma forma eficiente um conjunto de tarefas que necessitam de ser executadas no mesmo período de tempo pelos mesmos recursos. Contudo, adaptação dinâmica e otimização é uma necessidade crítica em sistemas de escalonamento, uma vez que as organizações de produção têm uma natureza dinâmica. Nestas organizações ocorrem distúrbios nas condições requisitos de trabalho regularmente e de forma inesperada. Alguns exemplos destes distúrbios são: surgimento de uma nova tarefa, cancelamento de uma tarefa, alteração na data de entrega, entre outros. Estes eventos dinâmicos devem ser tidos em conta, uma vez que podem influenciar o plano criado, tornando-o ineficiente. Portanto, ambientes de produção necessitam de resposta imediata para estes eventos, usando um método de reescalonamento em tempo real, para minimizar o efeito destes eventos dinâmicos no sistema de produção. Deste modo, os sistemas de escalonamento devem de uma forma automática e inteligente, ser capazes de adaptar o plano de escalonamento que a organização está a seguir aos eventos inesperados em tempo real.Esta dissertação aborda o problema de incorporar novas tarefas num plano de escalonamento já existente. Deste modo, é proposta uma abordagem de otimização -Hiper-heurística baseada em Seleção Construtiva para Escalonamento Dinâmico-para lidar com eventos dinâmicos que podem ocorrer num ambiente de produção, a fim de manter o plano de escalonamento, o mais robusto possível. Esta abordagem é inspirada em computação evolutiva e hiper-heurísticas. Do estudo computacional realizado foi possível concluir que o uso da hiper-heurística de seleção construtiva pode ser vantajoso na resolução de problemas de otimização de adaptação dinâmica. Palavras AbstractScheduling plays an important role in manufacturing systems. It produces a scheduling plan, in order to share resources to produce several different products in the same time period. However, dynamic adaptation and optimization is a critical need in real-world manufacturing scheduling systems, since contemporary manufacturing organizations have a dynamic nature, where disturbances on working conditions and requirements occur on a continuous basis. Disturbances often arise unexpectedly, and can be for example: urgent job arrival, job cancelation, due date change, delay in the arrival, among others. These dynamic events must be taken into account, since they may have a major impact on the scheduling plan, they can disorder the plan making it ineffective. Therefore, manufacturing environments require immediate response to these dynamic events, using a real-time rescheduling method, in order to minimize the effect of such unexpected events in the performance of the production' system. As result, scheduling systems should have the ability of automatically and intelligently maintain real-time adaptation and optimization to effi...

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Section: Definitions: Concepts and Paradigmsmentioning

confidence: 99%

Section: Definitions: Concepts and Paradigmsmentioning

confidence: 99%

Section: Definitions: Concepts and Paradigmsmentioning

confidence: 99%

“…In the next table it is presented a brief distinction of these concepts, with the use of short examples. (Bick & Kummer, 2010).…”

Section: Definitions: Concepts and Paradigmsmentioning

confidence: 99%

“…But, ubiquitous computing is more focused on specific technical implementation, whereas in Aml the main focus is the users and their needs (Bick & Kummer, 2010).…”

Section: Origin Focal Pointmentioning

confidence: 99%

See 3 more Smart Citations

Selection constructive based hyper-heuristic for dynamic scheduling

Gomes

Madureira

Cunha

2015

2015 10th Iberian Conference on Information Systems and Technologies (CISTI)

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Value-in-Use and Mobile Technologies

Bruns

Jacob

2014

Bus Inf Syst Eng

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With the increasing number of usage-based offerings, such as smartphone apps, consumers' usage processes are becoming increasingly relevant for scientific research. Thus, the concept of value-in-use is of particular importance. The paper presents a method for analyzing usage processes and capturing value-in-use. Based on a study of smartphone usage, the approach developed shows that valid value dimensions can be identified which characterize value-in-use. The proposed method proves to be a promising approach for value-in-use conceptualization.

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