Data Storage on a RFID Tag for a Distributed System

Pais, Sarita; Symonds, Judith

doi:10.5121/iju.2011.2203

Cited by 16 publications

(3 citation statements)

References 20 publications

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“…Further development of sensor and data storage PIT tags, as well as systems capable of transferring data from the tags, has great potential for large-scale studies. Work on this is ongoing in non-wildlife fields ( [158]), but freshwater researchers should look to incorporate these technologies into their research.…”

Section: Sensorsmentioning

confidence: 99%

Tracking animals in freshwater with electronic tags: past, present and future

et al. 2013

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Considerable technical developments over the past half century have enabled widespread application of electronic tags to the study of animals in the wild, including in freshwater environments. We review the constraints associated with freshwater telemetry and biologging and the technical developments relevant to their use. Technical constraints for tracking animals are often influenced by the characteristics of the animals being studied and the environment they inhabit. Collectively, they influence which and how technologies can be used and their relative effectiveness. Although radio telemetry has historically been the most commonly used technology in freshwater, passive integrated transponder (PIT) technology, acoustic telemetry and biologgers are becoming more popular. Most telemetry studies have focused on fish, although an increasing number have focused on other taxa, such as turtles, crustaceans and molluscs. Key technical developments for freshwater systems include: miniaturization of tags for tracking small-size life stages and species, fixed stations and coded tags for tracking large samples of animals over long distances and large temporal scales, inexpensive PIT systems that enable mass tagging to yield population-and community-level relevant sample sizes, incorporation of sensors into electronic tags, validation of tag attachment procedures with a focus on maintaining animal welfare, incorporation of different techniques (for example, genetics, stable isotopes) and peripheral technologies (for example, geographic information systems, hydroacoustics), development of novel analytical techniques, and extensive international collaboration. Innovations are still needed in tag miniaturization, data analysis and visualization, and in tracking animals over larger spatial scales (for example, pelagic areas of lakes) and in challenging environments (for example, large dynamic floodplain systems, under ice). There seems to be a particular need for adapting various global positioning system and satellite tagging approaches to freshwater. Electronic tagging provides a mechanism to collect detailed information from imperilled animals and species that have no direct economic value. Current and future advances will continue to improve our knowledge of the natural history of aquatic animals and ecological processes in freshwater ecosystems while facilitating evidence-based resource management and conservation.

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Section: Sensorsmentioning

confidence: 99%

Tracking animals in freshwater with electronic tags: past, present and future

et al. 2013

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“…Similar warnings can be presented to inventory managers on a host of other potential inventory concerns such as expiration, shortages, max allotment exceedances, and temperature threshold concerns. Active RFID tags can store between 16 bytes and 128 KB, and passive UHF tags are capable of 32 KB at a frequency between 865 and 956 MHz allowing for longer ranges, 32 both offering ample capacity for the limited EHS inventory fields desired.…”

Section: Ehs Technology Optimizationmentioning

confidence: 99%

Mitigation of Chemical Reporting Liabilities through Systematic Modernization of Chemical Hazard and Safety Data Management Systems

2023

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In the United States alone, approximately 2 billion tons of hazardous material products are manufactured each year for both household and industrial applications and contribute to thousands of worker chemical exposures with as many as 50,000 deaths from prolonged exposure each year. The potential hazards and impacts of these chemicals for human health and the environment are primarily communicated to the public through Safety Data Sheets (SDSs) from the chemical vendors or distributors. These documents provide a standardized approach for how and what information is provided to product users to assist them with assessment of precautionary measures, hazard mitigation, emergency response or cleanup procedures, and environmental, health, and safety (EHS) management. Despite the criticality for hazard communication (HAZCOM) precision, legacy SDS management and industry business practices leave the overall ability to effectively manage chemicals vulnerable to significant liability through a lack of full constituent disclosure, injection of data quality errors through various handling of SDS information and manual data entry, and the lack of direct SDS-to-product association. Chemical spills and accidents often require individuals to look for the appropriate SDS on a local computer, online, or in workplace binders; each of which results in information returned that is often found to be outdated or incorrect. Workplace HAZCOM violations remain among the top citations during EHS inspections by regulatory agencies. More important, however, is the lack of precise association of SDS to hazardous products that can occur through chemical management lifecycles. Incorrect SDSs can yield significant liability, as subsequent environmental and occupational health analyses and reporting are based upon incorrect and, in some cases, entirely different chemical formulations. This paper focuses on the need for a paradigm shift in our chemical management systems and how a standardized management system and various recent technological advances can be incorporated into Environmental Management System operations to reduce or eliminate these liabilities. The following advancements can be used to enhance the lifecycle management of workplace chemicals, reduce potential exposure and spill risks, reduce workplace hazards, and increase the efficiency and accuracy of environmental reporting through a more streamlined systems approach. EHS system enhancement applications discussed in this paper include the following: the need for a centralized universal SDS repository with full chemical disclosure of all product constituents and a nationally adopted machine language SDS standard. The use of artificial intelligence/machine learning in environmental systems and how they can be used as a medium to transition toward an automated standard by reverse-engineering and partitioning SDS components into machine-encoded text that can be validated and uploaded to a centralized repository. Algorithmic and meta-algorithmic approaches to SDS requirement and data...

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“…As EPC standards did not define the specifics of the syntax, semantic and serialization of the “user data”, Tribowski et al suggested an adoption of ISO 13584 standards for parts libraries (PLIB), with data attributes, data type and unit to be defined in addition [ 49 ]. In a later study, Pais and Symonds demonstrated the writing of such data into real RFID tags in XML and CSV serializations [ 50 ]. Those works have demonstrated the technical feasibility of using passive RFID tags as customized data carriers.…”

Section: Concept Of Model Designmentioning

confidence: 99%

A Real-Time Recording Model of Key Indicators for Energy Consumption and Carbon Emissions of Sustainable Buildings

Yang

Chew

et al. 2014

Sensors

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Buildings' sustainability is one of the crucial parts for achieving urban sustainability. Applied to buildings, life-cycle assessment encompasses the analysis and assessment of the environmental effects of building materials, components and assemblies throughout the entire life of the building construction, use and demolition. Estimate of carbon emissions is essential and crucial for an accurate and reasonable life-cycle assessment. Addressing the need for more research into integrating analysis of real-time and automatic recording of key indicators for a more accurate calculation and comparison, this paper aims to design a real-time recording model of these crucial indicators concerning the calculation and estimation of energy use and carbon emissions of buildings based on a Radio Frequency Identification (RFID)-based system. The architecture of the RFID-based carbon emission recording/tracking system, which contains four functional layers including data record layer, data collection/update layer, data aggregation layer and data sharing/backup layer, is presented. Each of these layers is formed by RFID or network devices and sub-systems that operate at a specific level. In the end, a proof-of-concept system is developed to illustrate the implementation of the proposed architecture and demonstrate the feasibility of the design. This study would provide the technical solution for real-time recording system of building carbon emissions and thus is of great significance and importance to improve urban sustainability.

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Data Storage on a RFID Tag for a Distributed System

Abstract: Abstract

Cited by 16 publications

References 20 publications

Tracking animals in freshwater with electronic tags: past, present and future

Tracking animals in freshwater with electronic tags: past, present and future

Mitigation of Chemical Reporting Liabilities through Systematic Modernization of Chemical Hazard and Safety Data Management Systems

A Real-Time Recording Model of Key Indicators for Energy Consumption and Carbon Emissions of Sustainable Buildings

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