scholarly journals Modeling and Profiling of Aggregated Industrial Network Traffic

2022 ◽  
Vol 12 (2) ◽  
pp. 667
Author(s):  
Mehrzad Lavassani ◽  
Johan Åkerberg ◽  
Mats Björkman
Keyword(s):  
Network Traffic ◽  
New Technologies ◽  
Spatial Dynamics ◽  
Data Availability ◽  
Industrial Plant ◽  
Traffic Modeling ◽  
Legacy Systems ◽  
Industrial Network ◽  
Comparative Results

The industrial network infrastructures are transforming to a horizontal architecture to enable data availability for advanced applications and enhance flexibility for integrating new technologies. The uninterrupted operation of the legacy systems needs to be ensured by safeguarding their requirements in network configuration and resource management. Network traffic modeling is essential in understanding the ongoing communication for resource estimation and configuration management. The presented work proposes a two-step approach for modeling aggregated traffic classes of brownfield installation. It first detects the repeated work-cycles and then aims to identify the operational states to profile their characteristics. The performance and influence of the approach are evaluated and validated in two experimental setups with data collected from an industrial plant in operation. The comparative results show that the proposed method successfully captures the temporal and spatial dynamics of the network traffic for characterization of various communication states in the operational work-cycles.

scholarly journals Delivering Personalized Care at a Distance: How Telemedicine Can Foster Getting to Know the Patient as a Person

2021 ◽  
Vol 11 (2) ◽  
pp. 137
Author(s):  
Janet Record ◽  
Roy Ziegelstein ◽  
Colleen Christmas ◽  
Cynthia Rand ◽  
Laura Hanyok
Keyword(s):  
New Technologies ◽  
Office Visit ◽  
Modern Technology ◽  
Office Visits ◽  
Patient Centeredness ◽  
Patient Centered ◽  
Personalized Care ◽  
High Satisfaction

The promise of precision medicine is based on the use of new technologies to better characterize patients by defining individuals in the areas of genomics, proteomics, metabolomics and other aspects of biologic variability. Wise application of modern technology can similarly transform health visits with patients, allowing for better characterization of the patient’s individual life circumstances than possible in a traditional office visit. The use of, and experience with, telemedicine have increased significantly during the COVID-19 pandemic. Patients and clinicians report high satisfaction with telemedicine, and the quality of communication and patient-centeredness experienced in this setting are both rated highly. In this article, we explore the benefits offered by telemedicine in facilitating personalized care with particular focus on telemedicine delivered by video platforms. We propose strategies and skills specific to the effective implementation of personalized telemedicine, drawing on literature in patient-centered communication and home visits. While traditional in-person office visits continue to offer important opportunities such as thorough physical examination and the potential for enhanced non-verbal communication, telemedicine offers many important advantages that can facilitate the process of getting to know the patient as a person.

scholarly journals In a Split Second

2021 ◽  
Author(s):  
◽  
Wen Jun Zheng
Keyword(s):  
New Technologies ◽  
Data Availability ◽  
Spastic Cerebral Palsy ◽  
Close Range Photogrammetry ◽  
Research Through Design ◽  
Vulnerable Patients ◽  
Surface Measurements ◽  
Close Range ◽  
Speed Accuracy ◽  
Ankle Foot Orthotics

<p>Children and adolescents with the medical condition Spastic Cerebral Palsy (CP) may develop an abnormal gait, resulting in walking difficulties. This may be helped overtime with noninvasive Ankle Foot Orthotics (AFOs) braces, such as Solid Ankle Foot Orthotics (SAFOs), customised to suit patients needs. However, the acquisition of patient measurements for customisation and manufacturing itself is manual, slow, intrusive, subjective, and requires specialist skills to accomplish. This can commonly result in negative experiences for patients and reduce the access to healthcare to many people. This can especially affect vulnerable patients such as children or adolescents with Spastic CP.  Research has identified that a 3D digital system that scans patients’ limbs and prints orthotics has the potential to improve the AFO creation process through speed, accuracy, and data availability. However, this system requires new technologies to fulfill its required performance, including a reliable way to acquire the three-dimensional shape of the limbs.  As such, a close-range photogrammetry system was identified as a fast and accurate alternative for producing surface measurements through 3D models compiled from images taken simultaneously. This research portfolio explores the design development of such a system by identifying areas of improvement, barriers, and solutions in a multi-method iterative research-through-design approach and pragmatic design framework. The aim was to achieve quick and accurate acquisition of a patient’s’ lower half measurements, while focusing on the experience of users during system interaction. The final output is a formally evaluated close-range photogrammetry scanner prototype, that created a non-intrusive and accurate alternative to traditional methods via quick and detailed capturing of patient surface measurements for later analysis. While also facilitating the needs of two user groups: vulnerable patients, and operating technician, to better their user experience.</p>

Dynamic virtual infrastructure benchmarking: DynaVIBe

2010 ◽  
Vol 10 (4) ◽  
pp. 600-609 ◽  
Author(s):  
R. Sitzenfrei ◽  
S. Fach ◽  
M. Kleidorfer ◽  
C. Urich ◽  
W. Rauch
Keyword(s):  
Case Studies ◽  
Distribution Systems ◽  
Water Distribution ◽  
New Technologies ◽  
Study Data ◽  
Data Availability ◽  
Urban Structure ◽  
Real World Data ◽  
Virtual Infrastructure

In environmental engineering, identification of problems and their solutions as well as the identification of the relevant processes involved is often done by means of case study analyses. By researching the operation of urban drainage and water distribution systems, this methodology is suited to evaluate new technologies, strategies or measures with regard to their impact on the overall processes. However, data availability is often limited and data collection and the development of new models are both costly and time consuming. Hence, new technologies, strategies or measures can only be tested on a limited number of case studies. In several environmental disciplines a few virtual case studies have been manually developed to provide data for research tasks and these are repeatedly used in different research projects. Efforts have also been invested in tackling limited data availability with the algorithmic generation of virtual case studies having constant or varying boundary conditions. The data provided by such tools is nevertheless only available for a certain instance in time. With DynaVIBe (Dynamic Virtual Infrastructure Benchmarking), numerous virtual case studies are algorithmically generated with a temporal development of the urban structure (population and land use model) and infrastructure. This provides a methodology that allows for the analysis of future scenarios on a spatio-temporal city scale. By linking a population model with DynaVIBe's infrastructure models, socio-economics impacts on infrastructure and system coherences can be investigated. The problematic of limited case study data is solved by the algorithmic generation of an unlimited number of virtual case studies, which are dynamic over time. Additionally, this methodology can also be applied on real world data for probabilistic future scenario analysis.

Geophysical characterization of an engineering infrastructure: laboratory tests.

2021 ◽  
Author(s):  
Giacomo Fornasari ◽  
Luigi Capozzoli ◽  
Gregory De Martino ◽  
Valeria Giampaolo ◽  
Enzo Rizzo
Keyword(s):  
Urban Areas ◽  
New Technologies ◽  
Detailed Knowledge ◽  
Reinforced Concrete Frame ◽  
The Public ◽  
Civil Infrastructures ◽  
Concrete Frame ◽  
Geophysical Application ◽  
Ground Penetrating

&lt;p&gt;The increase of the metropolises stresses the urban areas and intensive planning works is necessary. Therefore, the development of new technologies and methodologies able to explore the subsoil and manage its resources in urban areas becomes an important source in terms of saving time and money. In the last decade, a new subdiscipline in the Applied Geophysics started: Urban Geophysics (Lapenna, 2017). Urban Geophysics analyzes the contribute, in terms of limits and potentialities, that geophysical methodologies can give for providing useful information about the subsoil, environment, buildings and civil infrastructures and supporting the public administrations in planning interventions in urban scenarios.&lt;/p&gt;&lt;p&gt;This work introduces a laboratory test, that was performed at the Hydrogeosite CNR-IMAA laboratory of Marsico Nuovo (Basilicata region, Italy). The test consisted in a multisensor geophysical application on an analogue engineering model. Thanks to the possibility to work in laboratory conditions, a detailed knowledge of the structure was available, providing great advantages for assess the capability of the geophysical methodologies for analyze engineering issues, regarding the characterization of the infrastructural critical zone placed at the interface soil-structure. For this purpose, geoelectrical and electromagnetic methodologies, including Cross hole Electrical Resistivity Tomography and Ground Penetrating Radar, were used to characterize the geometry of the foundation structures and the disposition of the rebar for the reinforced concrete frame. Finally, new geophysical approaches were applied in order to define the corrosion rate of reinforcement.&lt;/p&gt;

Airport Enterprise Service Bus with Self-Healing Architecture (AESB-SH)

2011 ◽  
Vol 1 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Issam Al Hadid
Keyword(s):  
New Technologies ◽  
Service Oriented Architecture ◽  
Legacy Systems ◽  
Self Healing ◽  
Enterprise Service Bus ◽  
Information Accessibility ◽  
Automatic Information ◽  
Healing Agent ◽  
Service Oriented ◽  
Information Interchange

Airports need to adapt new technologies to react effectively and quickly to customers’ needs and to provide a better service such as the electronic ticket. In addition to the challenges of the ability to respond to the growing requirements of the automatic information interchange between the different systems to ensure safe and efficient airport operations. This paper provides an architecture based on the Service Oriented Architecture (SOA) that improves the information accessibility and sharing across the different Airport’s departments, integrates the existing legacy systems with other applications, and improves and maximizes the system’s reliability, adaptability, robustness, and availability using the Self-Healing Agent.

Network Traffic Modeling For IoT-device Re-identification

2020 ◽  
Author(s):  
Naji Najari ◽  
Samuel Berlemont ◽  
Gregoire Lefebvre ◽  
Stefan Duffner ◽  
Christophe Garcia
Keyword(s):  
Network Traffic ◽  
Traffic Modeling ◽  
Network Traffic Modeling

A multi-layer cellular automata approach for algorithmic generation of virtual case studies: VIBe

2010 ◽  
Vol 61 (1) ◽  
pp. 37-45 ◽  
Author(s):  
R. Sitzenfrei ◽  
S. Fach ◽  
H. Kinzel ◽  
W. Rauch
Keyword(s):  
Boundary Conditions ◽  
Case Studies ◽  
Real World ◽  
New Technologies ◽  
Single Case ◽  
Software Tool ◽  
Simulation Software ◽  
Data Availability ◽  
Study Results

Analyses of case studies are used to evaluate new or existing technologies, measures or strategies with regard to their impact on the overall process. However, data availability is limited and hence, new technologies, measures or strategies can only be tested on a limited number of case studies. Owing to the specific boundary conditions and system properties of each single case study, results can hardly be generalized or transferred to other boundary conditions. virtual infrastructure benchmarking (VIBe) is a software tool which algorithmically generates virtual case studies (VCSs) for urban water systems. System descriptions needed for evaluation are extracted from VIBe whose parameters are based on real world case studies and literature. As a result VIBe writes Input files for water simulation software as EPANET and EPA SWMM. With such input files numerous simulations can be performed and the results can be benchmarked and analysed stochastically at a city scale. In this work the approach of VIBe is applied with parameters according to a section of the Inn valley and therewith 1,000 VCSs are generated and evaluated. A comparison of the VCSs with data of real world case studies shows that the real world case studies fit within the parameter ranges of the VCSs. Consequently, VIBe tackles the problem of limited availability of case study data.

Revealing the Immune Population Hierarchy Using Novel Interactive Visualization Tools, a Comparison of Methods: Sunburst, viSNE, and Spade on Mass Cytometry Data

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5122-5122
Author(s):  
Tiffany J Chen ◽  
Nikesh Kotecha
Keyword(s):  
New Technologies ◽  
Dimensional Space ◽  
Cell Populations ◽  
Employment Equity ◽  
Computational Tools ◽  
Bottleneck Identification ◽  
Equity Ownership ◽  
Visualization Tools ◽  
Immune Subset

Abstract The development of new technologies for high-parameter data has resulted in a critical bottleneck: identification of immune subsets is restricted to expert-based analysis, focusing on post-acquisition characterization of cell populations. Identification of cell subsets in flow cytometry has primarily focused on manual analysis, despite the fact that computational tools have proven useful for high-parameter and cross-sample comparisons. Sharing well-annotated data improves transparency and facilitates vital reproduction of results by external groups. Adoption of these new tools for immune subset discovery requires thorough collaborative investigation and validation of identified cell populations. To this end, in this study we compare the ease of discovery of immune subsets by comparing analysis through the use of three visualization tools: the sunburst hierarchy, the SPADE tree, and dimensionality reduction using viSNE. The sunburst hierarchy is a visual and interactive representation of traditional manual gating, whereas the SPADE tree is a semi-automated clustering and visualization tool for identification of cell subsets. viSNE allows interaction with high parameter data in the context of two-dimensional space where gating can be accomplished. In this study, we demonstrate the ability to automatically elucidate many immune subsets using Cytobank via an iterative analytic approach, combining computational tools (viSNE and SPADE) to recapitulate manually derived cell subsets. Disclosures Chen: Cytobank, Inc: Employment, Equity Ownership. Kotecha:Cytobank, Inc: Employment, Equity Ownership.

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