Microsensor clusters

Nagel, D. J.

doi:10.1016/s0026-2692(01)00110-0

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…AP materials have many parameters that influence their antimicrobial efficacy, which is thoroughly addressed in a number of studies: polymer processing, polymer morphology (59), polymer swelling (60), and AMA affinity to the packaging material (61). In all these papers the food product was considered as a homogeneous medium in full contact with the packaging.…”

Section: Foodborne Biofilms and Active (Controlled-release) Packagingmentioning

confidence: 99%

B

Arch

Doyon

Twede

et al. 2009

The Wiley Encyclopedia of Packaging Technology

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Section: Foodborne Biofilms and Active (Controlled-release) Packagingmentioning

confidence: 99%

B

Arch

Doyon

Twede

et al. 2009

The Wiley Encyclopedia of Packaging Technology

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“…They may form sensor clusters. Nagel [20] presented a discussion of the seven items involved in microsensor clusters: the multiple sensors, interface electronics for sensor excitation and signal conditioning (amplification), a microcontroller or a computational unit with associated memory, a means of communicating information out or receiving commands, a source of power, and a printed-circuit board (PCB) and housing. More important, sensor clusters are distributed throughout a system, either at different levels in a hierarchical network or along a production line with multiple sensors clustered at individual workstations.…”

Section: Optimal Configuration Of Distributed Sensingmentioning

confidence: 99%

Distributed Sensing for Quality and Productivity Improvements

Ding

Elsayed

Kumara

et al. 2006

IEEE Trans. Automat. Sci. Eng.

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Distributed sensing, a system-wide deployment of sensing devices, has resulted in both temporally and spatially dense data-rich environments. This new technology provides unprecedented opportunities for quality and productivity improvement. This paper discusses the state-of-the-art practice, research challenges, and future directions related to distributed sensing. The discussion includes the optimal design of distributed sensor systems, information criteria, and processing for distributed sensing and optimal decision making in distributed sensing. The discussion also provides applications based on the authors' research experiences. Note to Practitioners-This paper is based on a panel discussion on the topic of the emerging technology of distributed sensing and the associated challenges and opportunities. The panel, constituted by a group of leading researchers and practitioners with expertise in operations and statistics, convened during the Institute for Operations Research and the Management Sciences (INFORMS)2003 annual meeting in Atlanta, GA. This panel focused its discussion on the information layer technology of distributed sensing for quality and productivity improvements, which differentiates this panel from other similar panels that were formed in a different society. The panelists provided their visions about the state-of-the-art practice, research challenges, and future research directions, and also discussed potential applications based on their own experiences.Index Terms-Decision making, distributed sensor systems, quality improvement, sensor optimization.

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“…Nagel [8] has reviewed sensors made with MEMS. Few examples are cited such as: a smart pen contains three accelerometers, three force sensors and two tilt sensors for signature verification.…”

Section: Applications Of Intelligent Sensor and Agents In Manufacturingmentioning

confidence: 99%

“…Advancing in microelectronic, microcomputer and manufacturing technologies enables an integration of sensing elements and signal processing elements embedded into a single chip found for example in Micro-Electro-Mechanical System (MEMS). For multiple measurements, Nagel [8] introduced the concept of ‘cluster’; the integral of several different sensing elements uses common computing and communicating capabilities and shares a power supply to imitate the human abilities. Continuous improvement in MEMS technology can ease this implementation.…”

Section: Introductionmentioning

confidence: 99%

Further Structural Intelligence for Sensors Cluster Technology in Manufacturing

Mekid

2006

Sensors

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Abstract:With the ever increasing complex sensing and actuating tasks in manufacturing plants, intelligent sensors cluster in hybrid networks becomes a rapidly expanding area. They play a dominant role in many fields from macro and micro scale. Global object control and the ability to self organize into fault-tolerant and scalable systems are expected for high level applications. In this paper, new structural concepts of intelligent sensors and networks with new intelligent agents are presented. Embedding new functionalities to dynamically manage cooperative agents for autonomous machines are interesting key enabling technologies most required in manufacturing for zero defects production.

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Microsensor clusters

Cited by 8 publications

References 9 publications

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Distributed Sensing for Quality and Productivity Improvements

Further Structural Intelligence for Sensors Cluster Technology in Manufacturing

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