Real-Time Asset Rescheduling With Execution Monitoring and Accurate Asset Tracking

The growing demand of usage of wireless sensors networks (WSNs) in multiple types of applications such as environment monitoring or asset tracking makes the quality-of-service (QoS) a paramount topic in wireless sensors applications. In these applications, each sensor node may collect different types of data with different levels of importance involving a different treatment to meet QoS purpose. Consequently, a sensor network should be ready to spend more resources in transmitting packets that hold more important information. In this paper, the authors propose an enhanced protocol with differentiated services for WSNs called QoS-HEEP. The proposed protocol is an improvement of HEEP protocol while providing requested quality of service for high priority real time traffic, which is distinguished from the low priority and non-real time traffic. Thus, input traffic streams are served based on their priorities. Through simulations using NS Simulator; it is observed that the authors' proposal outperforms more than other protocols developed in the literature for QoS provisions in WSNs.

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Real-Time Execution Monitoring

IEEE Transactions on Software Engineering ◽

10.1109/tse.1984.5010304 ◽

1984 ◽

Vol SE-10 (6) ◽

pp. 756-764 ◽

Cited By ~ 57

Author(s):

Bernhard Plattner

Keyword(s):

Real Time ◽

Execution Monitoring

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Real-Time asset tracking; a starting point for Digital Twin implementation in Manufacturing

Procedia CIRP ◽

10.1016/j.procir.2019.03.182 ◽

2019 ◽

Vol 81 ◽

pp. 719-723 ◽

Cited By ~ 3

Author(s):

Kousay Samir ◽

Antonio Maffei ◽

Mauro A. Onori

Keyword(s):

Real Time ◽

Digital Twin ◽

Asset Tracking ◽

Starting Point

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NeatSeq-Flow: A Lightweight High Throughput Sequencing Workflow Platform for Non-Programmers and Programmers alike

10.1101/173005 ◽

2017 ◽

Cited By ~ 5

Author(s):

Menachem Sklarz ◽

Liron Levin ◽

Michal Gordon ◽

Vered Chalifa-Caspi

Keyword(s):

Real Time ◽

High Throughput ◽

High Throughput Sequencing ◽

Computer Clusters ◽

Execution Monitoring ◽

Software Packages ◽

Generic Module ◽

Programming Knowledge ◽

Python Programming ◽

Bioinformatics Workflows

AbstractNowadays, it has become almost a necessity for many biologists to execute bioinformatics workflows (WFs) as part of their research. However, most WF-management software packages require for their operation at least some programming expertise. Here we describe NeatSeq-Flow, a platform that enables users with no programming knowledge to design and execute complex high throughput sequencing WFs. This is achieved by using a compendium of pre-built modules as well as a generic module, both do not require programming expertise. Nonetheless, NeatSeq-Flow retains the flexibility to generate sophisticated WF modules using templates and only basic Python programming abilities. NeatSeq-Flow is designed to enable easy sharing of WFs and modules by conceptually separating modules, WF design, sample information and execution. Moreover, NeatSeq-Flow works hand in hand with CONDA environments for easy installation of the WF’s analysis programs in one go. NeatSeq-Flow enables efficient WF execution on computer clusters by parallelizing on both samples and WF steps. NeatSeq-Flow operates by shell-script generation; thus it allows full transparency of the WF process. NeatSeq-Flow offers real-time WF execution monitoring, detailed documentation and self-sustaining WF backups for reproducibility. All of these features make NeatSeq-Flow an easy-to-use WF platform while not compromising for flexibility, reproducibility, transparency and efficiency.Availabilityhttp://neatseq-flow.readthedocs.io/en/latest/[email protected]

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Real-time location systems in nursing homes: state of the art and future applications

Journal of Enabling Technologies ◽

10.1108/jet-11-2017-0046 ◽

2018 ◽

Vol 12 (2) ◽

pp. 45-56 ◽

Cited By ~ 5

Author(s):

C.E. Oude Weernink ◽

E. Felix ◽

P.J.E.M. Verkuijlen ◽

A.T.M. Dierick-van Daele ◽

J.K. Kazak ◽

...

Keyword(s):

Nursing Home ◽

Nursing Homes ◽

Real Time ◽

Process Efficiency ◽

Healthcare Applications ◽

Content Type ◽

Asset Tracking ◽

Home Context ◽

Location Systems

PurposeIn the domain of healthcare, both process efficiency and the quality of care can be improved through the use of dedicated pervasive technologies. Among these applications are so-called real-time location systems (RTLS). Such systems are designed to determine and monitor the location of assets and people in real time through the use of wireless sensor networks. Numerous commercially available RTLS are used in hospital settings. The nursing home is a relatively unexplored context for the application of RTLS and offers opportunities and challenges for future applications. The paper aims to discuss these issues.Design/methodology/approachThis paper sets out to provide an overview of general applications and technologies of RTLS. Thereafter, it describes the specific healthcare applications of RTLS, including asset tracking, patient tracking and personnel tracking. These overviews are followed by a forecast of the implementation of RTLS in nursing homes in terms of opportunities and challenges.FindingsBy comparing the nursing home to the hospital, the RTLS applications for the nursing home context that are most promising are asset tracking of expensive goods owned by the nursing home in order to facilitate workflow and maximise financial resources, and asset tracking of personal belongings that may get lost due to dementia.Originality/valueThis paper is the first to provide an overview of potential application of RTLS technologies for nursing homes. The paper described a number of potential problem areas that can be addressed by RTLS.

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