Food Poisoning Prevention Monitoring System based on the Smart RFID Tag System

Eom, Ki-Hwan; Lee, Chang Won; Van, Nghia Truong; Jung, Kyung Kwon; Kim, Joo Woong; Choi, Woo Seung

doi:10.14257/ijmue.2013.8.5.20

Cited by 8 publications

(3 citation statements)

References 2 publications

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“…[66][67][68][69][70][71][72][73] RFID tag-based food poisoning prevention sensors could save human life and reduce medical costs worldwide that occur due to food poisoning borne human fatalities and related diseases. 74 The RFID tagging is also a powerful tool in the eld of combinatorial chemistry. Vastl et al 75 used a new approach for chemical library synthesis and screening using silicon micro-transponders (p-chips) to a library of variants of the hemagglutinin (HA) peptide sequence in order to bind with an anti-HA antibody (Fig.…”

Section: Introductionmentioning

confidence: 99%

Inkjet printed nanomaterial based flexible radio frequency identification (RFID) tag sensors for the internet of nano things

Singh

Nalwa³

2017

RSC Adv.

186

115

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Section: Introductionmentioning

confidence: 99%

Inkjet printed nanomaterial based flexible radio frequency identification (RFID) tag sensors for the internet of nano things

Singh

Nalwa³

2017

RSC Adv.

186

115

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“…Sensor-enabled RFID tags are being developed due to their extensive potential to add value over traditional identificationonly tags in a wide range of applications such as cold chain management [1], indoor localization and the monitoring of elderly people to ensure their safety using body-worn sensorenabled tags [2], [3] and, in general, ubiquitous sensing applications. A particularly attractive capability of passive sensor-enabled RFID tags is their ability to sense and report physical phenomenon such as human movements or barometric pressures without relying on the limitations imposed by electric batteries.…”

Section: Introductionmentioning

confidence: 99%

A novel hybrid powered RFID sensor tag

Dong¹,

Wickramasinghe²,

Han³

et al. 2015

2015 IEEE International Conference on RFID (RFID)

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In recent years we have seen a tremendous growth in applications of passive sensor-enabled RFID technology by researchers; however, their usability in applications such as activity recognition is limited by a key issue associated with their incapability to handle unintentional brownout events leading to missing significant sensed events such as a fall from a chair. Furthermore, due to the need to power and sample a sensor the practical operating range of passive-sensor enabled RFID tags are also limited with respect to passive RFID tags. Although using active or semi-passive tags can provide alternative solutions, they are not without the often undesirable maintenance and limited lifespan issues due to the need for batteries. In this article we propose a new hybrid powered sensor-enabled RFID tag concept which can sustain the supply voltage to the tag circuitry during brownouts and increase the operating range of the tag by combining the concepts from passive RFID tags and semipassive RFID tags, while potentially eliminating shortcomings of electric batteries. We have designed and built our concept, evaluated its desirable properties through extensive experiments and demonstrate its significance in the context of a human activity recognition application.

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“…Hadoop supports distributed application programs that operate on cluster computers to expedite Big Data [17, 18], and these data are processed as a diffuse form using MapReduce [19, 20]. Through MapReduce, data are stored in a Hadoop file system.…”

Section: Introductionmentioning

confidence: 99%

An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks

Bae

Kim

et al. 2014

International Journal of Distributed Sensor Networks

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Owing to the acceleration of IoT-(Internet of Things-) based wireless sensor networks, cloud-computing services using Big Data are rapidly growing. In order to manage and analyze Big Data efficiently, Hadoop frameworks have been used in a variety of fields. Hadoop processes Big Data as record values by using MapReduce programming in a distributed environment. Through MapReduce, data are stored in a Hadoop file system, and that form is not structured but unstructured. For this, it is not easy to grasp the cause, although inaccurate and unreliable data occur in the process of Hadoop-based MapReduce. As a result, Big Data may lead to a fatal flaw in the system, possibly paralyzing services. There are existing tools that monitor Hadoop systems' status. However, the status information is not related to inner structure of Hadoop system so it is not easy to analyze Hadoop systems. In this paper, we propose an intrusive analyzer that detects interesting events to occur in distributed processing systems with Hadoop in wireless sensor networks. This tool guarantees a transparent monitor as using the JDI (Java debug interface).

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Food Poisoning Prevention Monitoring System based on the Smart RFID Tag System

Abstract: Abstract

Cited by 8 publications

References 2 publications

Inkjet printed nanomaterial based flexible radio frequency identification (RFID) tag sensors for the internet of nano things

Inkjet printed nanomaterial based flexible radio frequency identification (RFID) tag sensors for the internet of nano things

A novel hybrid powered RFID sensor tag

An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks

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